\\n\\n
These books synthesize perspectives of renowned scientists from the world’s most prestigious institutions - from Fukushima Renewable Energy Institute in Japan to Stanford University in the United States, including Columbia University (US), University of Sidney (AU), University of Miami (USA), Cardiff University (UK), and many others.
\\n\\nThis collaboration embodied the true essence of Open Access by simplifying the approach to OA publishing for Academic editors and authors who contributed their research and allowed the new research to be made available free and open to anyone anywhere in the world.
\\n\\nTo celebrate the 50 books published, we have gathered them at one location - just one click away, so that you can easily browse the subjects of your interest, download the content directly, share it or read online.
\\n\\n\\n\\n\\n"}]',published:!0,mainMedia:null},components:[{type:"htmlEditorComponent",content:'
IntechOpen and Knowledge Unlatched formed a partnership to support researchers working in engineering sciences by enabling an easier approach to publishing Open Access content. Using the Knowledge Unlatched crowdfunding model to raise the publishing costs through libraries around the world, Open Access Publishing Fee (OAPF) was not required from the authors.
\n\nInitially, the partnership supported engineering research, but it soon grew to include physical and life sciences, attracting more researchers to the advantages of Open Access publishing.
\n\n\n\nThese books synthesize perspectives of renowned scientists from the world’s most prestigious institutions - from Fukushima Renewable Energy Institute in Japan to Stanford University in the United States, including Columbia University (US), University of Sidney (AU), University of Miami (USA), Cardiff University (UK), and many others.
\n\nThis collaboration embodied the true essence of Open Access by simplifying the approach to OA publishing for Academic editors and authors who contributed their research and allowed the new research to be made available free and open to anyone anywhere in the world.
\n\nTo celebrate the 50 books published, we have gathered them at one location - just one click away, so that you can easily browse the subjects of your interest, download the content directly, share it or read online.
\n\n\n\n\n'}],latestNews:[{slug:"webinar-introduction-to-open-science-wednesday-18-may-1-pm-cest-20220518",title:"Webinar: Introduction to Open Science | Wednesday 18 May, 1 PM CEST"},{slug:"step-in-the-right-direction-intechopen-launches-a-portfolio-of-open-science-journals-20220414",title:"Step in the Right Direction: IntechOpen Launches a Portfolio of Open Science Journals"},{slug:"let-s-meet-at-london-book-fair-5-7-april-2022-olympia-london-20220321",title:"Let’s meet at London Book Fair, 5-7 April 2022, Olympia London"},{slug:"50-books-published-as-part-of-intechopen-and-knowledge-unlatched-ku-collaboration-20220316",title:"50 Books published as part of IntechOpen and Knowledge Unlatched (KU) Collaboration"},{slug:"intechopen-joins-the-united-nations-sustainable-development-goals-publishers-compact-20221702",title:"IntechOpen joins the United Nations Sustainable Development Goals Publishers Compact"},{slug:"intechopen-signs-exclusive-representation-agreement-with-lsr-libros-servicios-y-representaciones-s-a-de-c-v-20211123",title:"IntechOpen Signs Exclusive Representation Agreement with LSR Libros Servicios y Representaciones S.A. de C.V"},{slug:"intechopen-expands-partnership-with-research4life-20211110",title:"IntechOpen Expands Partnership with Research4Life"},{slug:"introducing-intechopen-book-series-a-new-publishing-format-for-oa-books-20210915",title:"Introducing IntechOpen Book Series - A New Publishing Format for OA Books"}]},book:{item:{type:"book",id:"3720",leadTitle:null,fullTitle:"New Trends in Technologies: Devices, Computer, Communication and Industrial Systems",title:"New Trends in Technologies",subtitle:"Devices, Computer, Communication and Industrial Systems",reviewType:"peer-reviewed",abstract:"The grandest accomplishments of engineering took place in the twentieth century. 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The climate system of the Earth atmosphere is affected by a complex interplay of dynamical, physical and chemical processes acting in the troposphere (atmospheric layer reaching from the Earth surface up to about 12 km height) and the Middle Atmosphere, i.e. the stratosphere (from about 12 to 50 km) and the mesosphere (from 50 to 100 km). Moreover, mutual influences between these atmospheric layers must be taken into account to get a complete picture of the Earth climate system. An outstanding example which can be used to describe some of the complex connections of atmospheric processes is the evolution of the ozone layer in the stratosphere and its interrelation with climate change.
The stratospheric ozone layer (located around 15 to 35 km) protects life on Earth because it filters out a large part of the ultraviolet (UV) radiation (wavelength range between 100 nm and 380 nm) which is emitted by the sun. The almost complete absorption of the energy-intensive solar UV-B radiation (280-320 nm) is especially important. UV-B radiation particularly affects plants, animals and people. Increased UV-B radiation can, for example, adversely impact photosynthesis, cause skin cancer and weaken the immune system. In addition, absorption of solar UV radiation by the stratospheric ozone layer causes the temperature of the stratosphere to increase with height, creating a stable layer that limits strong vertical air movement. This plays a key role for the Earth’s climate system. Approximately 90% of the total ozone amount is found in the stratosphere. Only 10% is in the troposphere; ozone concentrations in the troposphere are much lower than in the stratosphere.
Data derived from observations (measurements from satellites and ground-based instruments) and respective results from numerical simulations with atmospheric models are used to describe and explain recent alterations of the dynamics and chemistry of the atmosphere.
Since the beginning of the 1980ies in each year the ozone hole develops over Antarctica during spring season (i.e. September to November), showing a decrease in the total amount of ozone of up to 70% (see Figure 4). Especially in the lower stratosphere (about 15-25 km altitude), ozone is almost completely destroyed during this season. Relatively shortly after the discovery of the ozone hole, the extreme thinning of the ozone layer in the south-polar stratosphere was explained as a combination of special meteorological conditions and changed chemical composition induced by industrially manufactured (anthropogenic) chlorofluorocarbons (CFCs) and halons.
In the atmosphere, ozone (O3) is produced exclusively by photochemical processes. Ozone formation in the stratosphere is initiated by the photolysis of molecular oxygen (O2). This produces two oxygen atoms (O) which recombine with molecular oxygen to form ozone. Since ozone is created by photochemical means, it is mainly produced in the tropical and subtropical stratosphere, where sunshine is most intensive throughout the year. At the same time, the ozone molecules formed in this way are destroyed again by the photolysis of ozone and by reaction with an oxygen atom. These reactions form the basis of stratospheric ozone chemistry, the so-called Chapman mechanism (Chapman, 1930). But if stratospheric ozone amounts are determined via this simple reaction system and the known rate constants and photolysis rates, the results obtained are about twice as high as the measured values. Since the early 1950ies, it has been known that fast so-called catalytic cycles reduce the determined ozone amounts to the observed values. By the early 1970ies, the catalysts had been identified as the radical pairs OH/HO2 and NO/NO2, which are formed from water vapour (H2O) and nitrous oxide (N2O) respectively (Bates and Nicolet, 1950; Crutzen, 1971; Johnston, 1971). In the mid-1970ies, the radical pairs Cl/ClO (from CFCs) and Br/BrO (from halons) were identified as further significant contributors (Molina and Rowland, 1974; Wofsy et al., 1975). The important point is that a catalyst can take part in the reaction cycle several thousand times and therefore is very effective in destroying ozone molecules. The increased occurrence of CFCs and halons due to anthropogenic emissions has significantly accelerated stratospheric ozone depletion cycle over recent decades, triggering a negative stratospheric ozone trend which is most obvious in the Southern polar stratosphere during spring time where the ozone hole is found. In the troposphere, CFCs and halons are mostly inert. Over time (several years), they are transported into the stratosphere. Only there they are photolysed and converted into active chlorine or bromine compounds.
In particular, ozone is depleted via the catalytic Cl/ClO-cycle in polar spring. However, the kinetics of these processes are very slow, because the amount of UV radiation is limited due to the prevailing twilight conditions. In the polar stratosphere, it is mainly chemical reactions on the surface of stratospheric ice particles that are responsible for activating chlorine (and also bromine) and then driving ozone depletion immediately after the end of polar night (Solomon et al., 1986). In the very cold lower polar stratosphere, polar stratospheric clouds (PSCs) form during polar night (Figure 1). PSCs develop at temperatures below about 195 K (= -78 °C) where nitric acid trihydride crystals form (NAT, HNO3 3H2O). Under the given conditions in the lower stratosphere ice particles develop at temperatures below approx. 188 K (= -85 °C). Due to different land-sea distributions on the Northern and Southern Hemisphere, the lower stratosphere over the south pole cools significantly more in winter (June – August) than the north polar stratosphere (December – February) (see Section 1.2). The climatological mean of polar winter temperatures of the lower Arctic stratosphere is around 10 K higher than that of the lower Antarctic stratosphere. While the Antarctic stratosphere reaches temperatures below PSC-forming temperatures for several weeks every year, there is a pronounced year-on-year variability in the north polar stratosphere: relatively warm winters, where hardly any PSCs develop are observed, as well as very cold winters, with conditions similar to that of Antarctica. This means that expansive PSC fields develop in the Antarctic stratosphere every year, but are seldom seen over the Arctic (see Section 2.1). A detailed description of chemical processes affecting ozone is given by Dameris (2010).
Polar stratospheric clouds over Finland. The picture was taken on January 26, 2000 from the DLR research aircraft
Since the 1990ies it became obvious that the ozone layer was not just getting thinner over Antarctica, but over many other regions, too, although to a lesser extent (see Figure 5). Many observations from satellite instruments and ground based techniques (incl. radiosondes) have shown a clear reduction of the amount of stratospheric ozone, e.g. in middle geographical latitudes (about 30°-60°) of both hemispheres. From that time on observational evidences and the actual state of understanding have been reviewed in WMO/UNEP Scientific Assessments of Ozone Depletion (WMO, 1992; 1995; 1999; 2003; 2007; 2011). It turned out that the thickness of the stratospheric ozone layer is not solely controlled by chemical processes in the stratosphere. Physical and dynamic processes play an equally important role.
The polar stratosphere during winter is dominated by strong west wind jets, the polar vortices. Due to the different sea-land distribution in the Northern and Southern Hemisphere these wind vortices develop differently in the two hemispheres. Large-scale waves with several hundreds kilometres wavelength are generated in the troposphere, for example during the overflow of air masses over mountain ridges. These waves propagate upward into the stratosphere and affect the dynamics there including the strength of the polar wind jets. The polar vortex in the Southern Hemisphere is less disturbed and therefore the mean zonal wind speed is stronger than in the Northern Hemisphere. In the Southern Hemisphere this leads to a stronger isolation of stratospheric polar air masses in winter and a more pronounced cooling of the polar stratosphere during polar night (see Section 1.1).
Additionally, atmospheric trace gas concentrations are affected by air mass transports, which are determined by wind fields (wind force and direction). The extent to which such a transport of trace gases takes place depends on the lifetime of the chemical species in question. Only if the chemical lifetime of a molecule is longer than respective dynamical timescales, the transport contributes significantly to the distribution of the chemical substance. For example, in the lower stratosphere the chemical lifetime of ozone is long enough that transport processes play a key role in geographical ozone distribution there. At these heights, ozone can be transported to latitudes where, photochemically, it is only produced to an insignificant extent. In this way, ozone generated at tropical (up to about 15°), sub-tropical (about 15°-30°) and middle latitudes is transported particularly effectively in the direction of the winter pole (i.e. towards the north polar region from December to February and towards the south polar region from June to August), due to large-scale meridional (i.e. north-south) circulation. There, it is mixed in with the local air. This leads to an asymmetric global ozone distribution with peaks at higher latitudes during the corresponding spring months and not over the equator (see Figures 7 and 8). At higher stratospheric latitudes, it is thus particularly difficult to separate chemical influences on ozone distribution (ozone depletion rates) from the changes caused by dynamic processes.
With respect to climate change due to enhanced greenhouse gas concentrations (i.e. in particular carbon dioxide, CO2, methane, CH4, and nitrous oxide, N2O) caused by human activities, it is expected that temperatures in the troposphere will further increase (IPCC, 2007) and that they will further decrease in the stratosphere due to radiation effects (Chapter 4 in WMO, 2011). Since the reaction rates of many chemical reactions are directly depending on atmospheric temperature, climate change will directly influence chemical processes and therefore the amount and distribution of chemical substances in Earth atmosphere. Moreover, changes in atmospheric temperature and temperature gradients are modifying dynamic processes that drive the circulation system of the atmosphere. This would result in changing both, the intensity of air mass transports and the transportation routes, with possible long-term consequences for the atmospheric distribution of radiatively active gases, including ozone. Changes in distribution of the climate-influencing trace gases in turn affect the Earth’s climate.
Since many years ozone distribution in the stratosphere is observed by ground-based and satellite instruments (see Section 2.1). In particular measurements from space help to get a global view of the state of the stratospheric ozone layer and its temporal evolution including short-term fluctuations and long-term changes (i.e. trends). An outstanding task is to combine multi-year observations derived from different sensors flown on different satellites in a way that at the end one gets consistent and homogeneous data products which enable solid scientific investigations of processes causing the basic state of the atmosphere and its variability. In addition to a detailed analysis of existing measurements, numerical models of the atmosphere are used to reproduce as best as possible recent atmospheric conditions and the modulation in space and with time. Sensitivity studies help to identify those processes most relevant to describe climatological mean atmospheric conditions as well as spatial and temporal changes. For example, changes in climate, the temporal evolution of the ozone layer and the connections between them are simulated by atmospheric models which consider all known and relevant dynamical, physical as well as chemical processes (see Section 2.2). In such numerical studies, it is important to consider natural processes and their variations, as well as human activities relevant to atmospheric processes. A comprehensive evaluation of data derived from numerical model simulations with respective observations helps to identify the strength and weaknesses of the applied model systems which to a great part reflect the current state of the knowledge about processes acting in Earth atmosphere (see Section 3). A good understanding of all crucial processes is necessary, for example, for reliably estimating the future development of the ozone layer (Section 4). In this context, alterations in atmospheric processes due to climate change must be considered.
Satellite remote sensing of ozone started in 1970 with the Backscatter Ultraviolet Spectrometer (BUV) onboard the NASA satellite Nimbus-4. The first Total Ozone Mapping Spectrometer (TOMS) was launched in 1978 onboard the Nimbus-7 satellite and was followed by a series of Solar Backscatter UV Instrument (SBUV). TOMS measured the total column of atmospheric ozone content whereas the SBUV measured height resolved stratospheric ozone profiles. The last TOMS instrument operated until 2007, the Ozone Mapper Profiler Suite (OMPS) to be launched in 2011 will continue this data record.
The European contribution to satellite base measurements of atmospheric composition started with the Global Ozone Monitoring Experiment (GOME) sensor onboard the ESA satellite ERS-2 launched in 1995. GOME measured not only ozone (total column, profiles and tropospheric column) but also a number of atmospheric composition gases like nitrogen dioxide, sulphur dioxide, bromine monoxide, water vapour, formaldehyde, chlorine dioxide, glyoxalin as well as clouds and aerosols (see Burrows et al., 1999). The GOME data record is continued with the SCIAMACHY sensor onboard the ESA satellite ENVISAT launched in 2002, with the Dutch sensor OMI onboard the NASA satellite AURA launched in 2004, and with the GOME-2 sensor onboard the EUMETSAT satellite MetOp-A launched in 2006. This 16 years data record will be continued with the GOME-2 sensors on the EUMETSAT satellites MetOp-B (to be launched in 2012) and MetOp-C (to be launched in 2017). The ESA’s Sentinel 5 precursor mission (to be launched in 2015), Sentinel 4 and Sentinel 5 with further extend this data record with similar sensor systems in the next decades.
Remote Sensing in the UV/VIS spectral range between 280 nm and 450 nm is based on measurements of backscattered radiation from the Earth-atmosphere system. The Differential Optical Absorption Spectroscopy (DOAS) fitting technique is used to derive trace gas slant column amounts along the viewing path of the GOME-type instruments. The spectral structure of ozone in the Huggings bands (Figure 2) measured by a satellite sensor is compared to laboratory measurements to quantify the ozone content on the atmosphere.
The slant columns determined with DOAS are finally converted to geometry-independent vertical column amounts through division by appropriate air mass factors (Van Roozendael et al., 2006) which result from radiative transfer calculations (see Figure 3). Air mass factors describe the enhanced absorption of a given trace gas due to slant paths of incident light in the atmosphere. The ozone retrieval must also take into account the influence of clouds and other atmospheric effects (Loyola et al., 2011).
Satellite total ozone measurements are systematically compared with ground-based measurements and the differences are typically lower than 1%. Nevertheless satellite ozone data from different instruments may show spatial and temporal differences due to sensor
Schematically representation of the DOAS principle used for the retrieval of ozone content from the Huggings bands between 325 nm and 335 nm. The differential structure of satellite measurements (top left) and laboratory measurements (top right) are fitted together (low panel) to determine the current ozone amount.
The satellite measured ozone slant column (brown path) is converted to viewing geometry independent vertical column of ozone (black path).
specific characteristics and drifts. Therefore some corrections are needed before merging data from different satellites to create long-term homogenous climate data records that can be used for ozone trend studies. In this chapter we use the merged satellite TOMS/OMI data record (Stolarski et al., 2006) starting in 1979 and the merged GOME/SCIAMACHY/GOME-2 data record (Loyola et al., 2009) starting in 1995.
An ozone hole is said to exist when the total ozone column sinks to values below 220 DU, which is around 30% under the norm. Dobson Units are column densities a measure of the total amount of ozone in a column over a specific place. At standard temperature and pressure (1000 hPa, 0 °C), a 0.01-mm thick ozone layer corresponds to 1 DU. A 300-DU thick ozone layer at the Earth’s surface would thus correspond to a pure ozone column of 3 mm. Figure 4 shows the evolution of ozone hole as measured by the TOMS sensor onboard the Nimbus 7 satellite between 1979 to 1992, TOMS data from the Meteor satellite between 1993 to 1994, GOME data from the ERS-2 satellite between 1995 and 2002, SCIAMACHY data from the ENVISAT satellite between 2003 and 2006, and GOME-2 data from the MetOp-A satellite between 2007 and 2010. The average ozone from October 1st to 3rd is plotted for all the years with the exception of 1993 and 2002 where data from September 23rd to 25th are used. In 1993 no TOMS data were available at the beginning of October and in 2002 the data from September are plotted to show the atypical split of the ozone hole due to the unusual meteorological conditions in the stratosphere occurring only in 2002.
Corresponding results for Northern Hemisphere spring time conditions are presented in Figure 5. There, average total ozone column from March 25th to 27th is plotted for all years between 1979 and 2011 except 1995 where no satellite data is available. Obviously the ozone depletion is not as strong as in the Southern Hemisphere and the trend towards lower ozone amount is much less visible. The interannual variability is high which can be explained by the variability of stratospheric dynamics (see Sections 1.1 and 1.2). Nevertheless, most clearly seen in years like 1997 and 2011, the dynamic situation of the Arctic stratosphere can be very similar to the Antarctic, i.e. showing a well-pronounced and undisturbed polar vortex in winter with temperatures low enough to form PSCs in large extent. Other years which also show a significant reduction of total ozone in northern spring are 1990, 1993, 1996, and 2007. On the other hand, in years like 1998 and 2010 when stratospheric temperatures are enhanced due to disturbed stratospheric dynamic conditions, total ozone values are much higher. It is also obvious that total ozone values at low latitudes (i.e. tropical and sub-tropical regions) are naturally low.
Chemistry-climate models (CCMs) are numerical tools which are used to study connections between atmospheric chemistry and climate (Figure 6). They are composed of two basic modules: An Atmospheric General Circulation Model (AGCM) and a Chemistry Model.
An AGCM is a three-dimensional model describing large-scale (i.e. spatial resolution of a few hundred km) physical, radiative, and dynamical processes in the atmosphere over years and decades. It is used to study changes in natural variability of the atmosphere and for investigations of climate effects of radiatively active trace gases (greenhouse gases) and aerosols (i.e. natural and anthropogenic particles in the atmosphere), along with their interactions and feedbacks. Usually, AGCM calculations employ prescribed concentrations of radiatively active gases, e.g. CO2, CH4, N2O, CFCs, and O3. Changes of water vapour (H2O) concentrations due to the hydrological cycle are directly simulated by an AGCM. The
Evolution of the ozone hole derived from satellite measurements in early October from 1979 until 2010. The purple area over the South Polar Region indicates the area of the ozone hole (see text).
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temporal development of sea surface temperatures (SSTs) and sea ice coverage are prescribed in these models. The chosen boundary conditions for concentrations of radiatively active gases and SSTs (incl. sea ice) represent a specific period of time, e.g. some years or decades.
In a CCM, i.e. an AGCM interactively coupled to a model describing in detail atmospheric chemistry, the simulated concentrations of the radiatively active gases are used in the calculations of heating rates (e.g. due to the absorption of short-wave solar radiation) and cooling rates (e.g. due to the emission of long-wave infrared radiation). Changes in the abundance of these gases due to chemistry and advection influence heating and cooling rates and, consequently, variables describing atmospheric dynamics such as temperature and wind. This gives rise to a dynamical-chemical coupling in which the chemistry influences the dynamics (via radiative heating and cooling) and vice versa (via temperature and advection). As an example, ozone represents the dominant radiative-chemical feedback in the stratosphere. Simulations with CCMs also consider gradual changes in concentrations of radiatively active gases and other boundary conditions (e.g., emissions). The temporal development of source gas emissions are prescribed for a specific episode (years to decades).
Schematic of a Chemistry-Climate Model (CCM). The core of a CCM (oval symbols) consists of an atmospheric general circulation model (AGCM; i.e. dynamics and radiation part) that includes calculation of the heating and cooling rates and a detailed chemistry module. They are interactively coupled. Arrows indicate the direction of effect. Rectangular boxes denote external forcing.
As an example, in the following a brief description of the CCM E39CA is presented providing some useful details to better understand how such a model system works and respective simulations are performed. E39CA consists of the dynamic part E39 and the chemistry module CHEM. “E39” is an AGCM, based on the circulation model ECHAM4 (Roeckner et al., 1996). It has a vertical resolution of 39 levels from the Earth surface up to the top layer centred at 10 hPa (Land et al., 2002). The horizontal model grid on which the tracer transport, model physics and chemistry are calculated, has a mesh size of approximately 3.75° 3.75° (latitude, longitude). The chosen time step for model integration is 24 minutes. The chemistry module “C” (Steil et al., 1998) is based on a family concept which combines related chemical constituents with short lifetimes (shorter than that of the dynamics or the model time-step used) into one family with a life-time larger than the time-step. “C” includes stratospheric homogeneous and heterogeneous ozone chemistry and the most relevant chemical processes for describing the tropospheric background chemistry with 107 photochemical reactions, 37 chemical species and four heterogeneous reactions on PSCs and on sulphate aerosols. Heating and cooling rates and photolysis rates are calculated on-line from the modelled distributions of the radiatively active gases O3, CH4, N2O, H2O and CFCs, and the actual cloud distribution.
In the following some boundary conditions of an E39CA model simulation are described covering the years from 1960 to 2050 (simulation “R2”). The model simulation considers various natural and anthropogenic forcings like the 11-year activity cycle of the sun with varying intensity of solar radiation (particularly in the ultraviolet which affects ozone chemistry), the quasi-biennial oscillation (QBO) of tropical zonal winds in the lower stratosphere (i.e. the direction of the zonal wind is alternating between west and east with a mean period of 28 months; see Baldwin et al., 2001), chemical and direct radiative effects of gases and aerosols (i.e. particles) emitted during major volcanic eruptions, and the increase in greenhouse gas concentrations. R2 is a simulation performed to assess the past and future evolution assuming a consistent set of boundary conditions which are partly based on observations (for the past) and on particular assumptions for future developments. For example, the future concentrations of long-lived greenhouse gases (CO2, CH4, and N2O) are based on a ‘business as usual’ scenario (i.e. the A1B future scenario described in IPCC, 2001); future concentrations of ozone depleting substances follow the A1 scenario prescribed in WMO (2003), e.g. assuming a phase out of the CFCs in the troposphere and stratosphere over the coming decades leading to a continuous decrease of stratospheric chlorine content in future. Moreover, the wind phases of the QBO which were observed in the past are consistently continued. The solar activity signal observed between 1977 and 2007 is continually repeated until 2050. Furthermore, no major volcanic eruptions have been adopted in years up to 2050. Sea surface temperatures (SSTs) and sea ice coverage are prescribed using a continuous dataset derived from the coupled atmosphere-ocean model HadGEM1, provided by the UK Met Office Hadley Centre (Johns et al., 2006). The results from HadGEM1 are taken from a transient simulation with prescribed anthropogenic forcing as observed in the past, and following the SRES-A1B scenario in the future.
More details about the CCM E39CA and the respective assumptions made in the numerical simulation are provided in Stenke et al. (2009) and Garny et al. (2009).
In this section data derived from multi-year space-borne measurements are compared with respective data derived from simulation R2 with the CCM E39CA. It should provide some insight into current capabilities of numerical modelling of atmospheric processes and how model results are evaluated on the basement of observations. The evaluation of results derived from numerical modelling with observations gives indications about the quality of the applied model which partly reflects our current understanding of atmospheric processes and the cause and effect relationships leading to changes in atmospheric behaviour. The following examples of E39CA are only exemplary; more detailed comparisons including evaluations with other CCMs are provided in the SPARC CCMVal report (2010).
The evolution of the total ozone column in the atmosphere and respective standard deviation (both in Dobson Units, DU) as a function of latitude and time derived from GOME/SCIAMACHY/GOME-2 satellite measurements and the E39CA R2 simulation are presented in Figure 7. Note that the colour bars of the total ozone (upper two figures) are different for satellite and model data to better compare the latitude-time patterns (see discussion below regarding Figure 8). It is obvious that the overall variations of total ozone with latitude and time are well reproduced by E39CA.
Latitudinal evolution of total ozone (top) and standard deviation (bottom) from June 1995 to May 2008. GOME/SCIAMACHY/GOME-2 satellite data are presented on the left side (a, c) and E39CA model on the right side (b, d). Satellite measurements from April 2004 are not available; the corresponding model data are therefore also neglected (
The standard deviation of a given quantity (here total ozone in the lower two figures) is a measure for variability of the respective system, describing the range of variability in a specific region and period of time. Again, the agreement between model results and observations is satisfactory, i.e. the spatial and temporal structures are well reproduced. The latter result is important because it indicates that E39CA is able to reproduce adequately the internal variability of stratospheric dynamics and chemistry which is different in the Northern and Southern Hemisphere and the tropics (see Sections 1.1 and 1.2).
Seasonal mean values of total ozone (June 1995 to May 2008) from GOME/SCIAMACHY/GOME-2 satellite instruments (top), the E39CA simulation (middle), and the difference between satellite measurements and model results (bottom) (
Figure 8 provides a more detailed evaluation of the absolute accuracy of total column ozone values as derived from E39CA simulations. Here, seasonal mean values of total ozone derived from satellite instrument measurements and E39CA are once again presented for the time period from June 1995 to May 2008. Please note that the colour bars here are also different for satellite and model data since E39CA total ozone values have a positive bias: A general shift to higher total ozone values is found ranging from about 5 DU in high northern latitudes during winter (DJF) to about 100 DU in high southern latitudes during winter (JJA). This finding indicates that there are still some weaknesses in the applied model system leading to an overall overestimation of total column ozone. Nevertheless, it is obvious that the meridional structure is well represented by E39CA in all seasons. The seasonal changes are well reproduced by the model. Particularly in the Northern Hemisphere, the latitudinal structure compares in a reasonable way. For example, the position of the polar vortex during winter and spring, which is indicated by lower ozone values over Eurasia, is correctly simulated by E39CA. While the Northern Hemisphere is dominated by a clear zonal wave number 1 pattern (i.e. one maximum and one minimum along a latitudinal circle), the distribution of ozone in the Southern Hemisphere has a much more zonally symmetric structure during all seasons which is captured by the model.
In addition to Figure 7, Figure 9 shows seasonal means of the standard deviation of total ozone, again for satellite data and model results. The overall seasonal change and the hemispheric patterns of the standard deviation in the model follow quite well the respective values from observations, but there are some differences in details. For example, in the distribution of the standard deviation in northern winter (DJF) high latitudes show some obvious differences: While in E39CA, the variability is low in the centre of the polar vortex (approximately between northern Europe and the North Pole) and higher in the surroundings, the satellite data show high variability in the vortex centre and a lower standard deviation over North America and eastern Asia. This finding can be explained by the fact that the polar vortex is too stable in E39CA, i.e. the number of minor and major warmings is lower than observed (e.g. Stenke et al., 2009). In the summer hemisphere (DJF in the Southern Hemisphere) the standard deviation is much higher in the model, but the region of maximum variability agrees again well with those derived from observed values. Another clear difference is found in the Southern Hemisphere spring months (SON) indicating a weaker variability in the South Polar Region (see also lower part of Figure 11). This model behaviour is explained by a too cold polar lower stratosphere in E39CA (‘cold pole problem’) reducing the dynamical variability in this region strongly (Stenke et al., 2009).
The comparisons shown so far were based on climatological and seasonal mean values. They are mainly used to rate the basic state of a numerical model system. Also important is the evaluation of the temporal evolution of an atmospheric quantity. The adequate reproduction of short-term variability and long-term changes, i.e. trends, is another prerequisite for robust assessment of future developments. Some examples are presented in the following section.
As a result of international agreements on protecting the stratospheric ozone layer (Montreal Protocol in 1987 and its amendments), the rapid increase in concentrations of the main CFCs in the troposphere has been stopped. Since the mid-1990ies, a decline in
Seasonal mean values of total ozone standard deviations (June 1995 to May 2008) from GOME/SCIAMACHY/GOME-2 satellite instruments (top) and the E39CA simulation (bottom) (
tropospheric CFC content has been observed (WMO, 2011). Consequently, a slight decrease in stratospheric chlorine concentrations has also been detected for several years now. However, due to the long lifetimes of CFCs in the atmosphere, it will take until the middle of this century for the stratosphere’s chlorine content to go back to values resembling those observed in the 1960ies. Therefore, it is expected that the strong chemical ozone depletion observed over the past three decades will decrease in the near future. In this context, a solid assessment of the timing of the ozone layer recovery and particular the closure of the ozone hole is not a trivial task since the future evolution of the ozone layer is affected by several processes. In particular ongoing climate change will have an influence on atmospheric dynamics (including the transport of ozone) and ozone chemistry (via temperature changes). CCMs are suitable tools to perform prognostic studies regarding the evolution of stratospheric ozone content, because they are considering the complex interactions of dynamical, physical and chemical processes.
Based on prognostic studies with CCMs it is expected that the ozone layer will build up again in the next decades and that the ozone hole over Antarctica will be closed (see Chapter 3 in WMO, 2011; Chapter 9 in SPARC CCMVal, 2010). Figure 10 shows an example of the temporal evolution of total ozone deviations regarding a mean ozone value (1995-2009) for the near global mean (i.e. global mean values neglecting polar regions). Looking into the past it is obvious that E39CA is able to reproduce seasonal and interannual fluctuations in a sufficient manner, although the amplitudes of ozone anomalies are slightly underestimated. Model data and data derived from satellite observations clearly show the signal of the 11-year solar cycle. The absolute minimum ozone values observed in years 1993-95, which are caused by the eruption of the volcano Pinatubo, are not adequately reproduced by E39CA. The simulated increase in stratospheric ozone amount after year 2010 is a direct consequence of the prescribed decrease of stratospheric chlorine content.
The speed at which the ozone layer will rebuild in future depends on a range of other factors, however. Rising atmospheric concentrations of radiatively active gases (such as CO2, CH4 and N2O) do not just cause the conditions in the troposphere to change (i.e. the greenhouse effect warms the troposphere), but also in the stratosphere which cools down with increasing CO2 concentrations. The regeneration of the ozone layer thus takes place under atmospheric conditions different to those prevailing during the ozone depletion processes of recent decades. Due to climate change, it is highly unlikely that the ozone layer will return to exactly the way it was before the time of increased concentrations of ozone-depleting substances.
Average deviations of the total ozone column (in %) for the region between 60°N and 60°S. The mean annual cycle for the period 1995-2009 was subtracted in each case. The orange and red curves represent data obtained from satellite instruments (TOMS, GOME, SCIAMACHY and GOME-2). The blue curve shows results from a numerical simulation (R2) using a chemistry-climate model (E39CA).
Due to further increasing greenhouse gas concentrations, global atmospheric temperatures will continue to change over the coming decades, i.e. it is expected that the troposphere will continue to warm up and that the stratosphere will cool down further due to radiation effects. In addition, it must also be taken into account that, due to the expected build-up of the ozone layer, stratospheric ozone heating rates (absorption of solar ultraviolet radiation by ozone) will increase again, to some extent counteracting the increased cooling due to rising greenhouse gas concentrations. However, as the ozone concentration depends largely on the background temperature, there will be some feedback. Since climate change also involves a change in the stratosphere’s dynamics, “dynamic” heating of the stratosphere can also occur, depending on the time of year and place, which leads to local stratospheric heating, rather than cooling. That’s why it is important to take the interactions between chemical, physical and dynamic processes into account, both for the interpretation of observed changes in the ozone layer and for prognostic studies. It must be always considered that ozone and climate connections are influencing each other in both directions. Therefore, estimates of future stratospheric ozone concentration developments and climate change are not trivial and bring uncertainties with them.
Future prognostics with CCMs also clearly indicate that ozone regeneration will be faster in some areas than in others, where it’s quite possible that the recovery of the ozone layer will be delayed (Chapter 3 in WMO, 2011). The results of E39CA also show that the regeneration of the ozone layer will vary from region to region and does not represent a simple reversal of the depletion observed over recent years. Examples are presented in Figure 11, showing the evolution of the stratospheric ozone layer in the Northern and Southern polar regions.
In contrast to Figure 10, only the data for respective spring months are shown when ozone depletion maximises. First of all, E39CA reproduces nicely the different evolution of the ozone layer in the Northern and Southern Hemisphere in the past showing a more pronounced thinning of the ozone layer in the Southern Hemisphere due to the formation of the ozone hole. Interannual fluctuations are well captured by E39CA in the Northern Hemisphere while they are underestimated in the Southern Hemisphere. Here, for example, the model does not create dynamical situations leading to weak polar vortices in late winter and early spring and therefore higher ozone values as particularly observed in 1988 and 2002 (see also Figure 4). Obviously, the recreation speed of the ozone layer is different in the Northern and in the Southern Hemisphere: In the Northern Hemisphere ozone values found in the 1960ies and 1970ies are reached again around 2030 and further increase afterwards. In the Southern Hemisphere the 2050-values are still below the values found in the 1960ies (see also Figure 12). Looking again to Figure 10, here the ozone values after 2030 are also higher than before 1980.
What is the reason for this different behaviour in different stratospheric regions? Due to the continued increase in greenhouse gas concentrations in the atmosphere, the stratosphere will further cool down, resulting in faster ozone-layer regeneration especially in the middle and upper stratosphere. Here, lower temperatures slow down ozone destroying (temperature depending) chemical reactions. In the lower polar stratosphere, in particular in the Southern Hemisphere, the rebuilding of the ozone layer may slow down during spring. There, lower temperatures lead to an increased formation of polar stratospheric clouds (PSCs), which are the necessary prerequisite to start ozone depletion. On the other hand, climate change will affect ozone transport to higher latitudes. E39CA predict enhanced transport of stratospheric air masses from tropical to extra-tropical regions. Caused by the isolation of the Southern Hemisphere polar stratosphere (originated by the high zonal wind speed there; see Section 1.2) this change does not lead to a faster closure of the ozone hole (see also Figure 12); contrastingly, in the Northern Hemisphere the transport of ozone rich air towards polar latitudes is intensified, leading to a quicker back formation of the ozone layer. Overall, model simulations indicate that the ozone layer is expected to recreate faster in the Arctic than in the Antarctic stratosphere.
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Figure 12 provides another view of the temporal evolution of the ozone hole as it is simulated by E39CA from the 1960ies to the 2040ies. Here, decadal mean total ozone values for October are presented. Respective mean values derived from satellite instruments are shown for comparison (notice again that the satellite and the CCM plots use different colour bars representing Dobson Units.) These images of simulated total ozone columns also indicate that the closure of the ozone hole will be delayed regarding the prescribed temporal decrease of the stratospheric chlorine content, i.e. will be not completed before 2050 (see also lower part of Figure 11).
Decadal evolution of the ozone hole in October (monthly mean value) derived from satellite measurements (TOMS, GOME, SCIAMACHY, GOME-2) from 1970 to 2009 and the simulation with the CCM E39CA from 1960 until 2049.
Obviously, reliable estimates of the future evolution of atmospheric behaviour are difficult because of strong interactions between physical, dynamical and chemical processes which, moreover, are expected to be modified in a future climate with enhanced greenhouse gas concentrations.
Further uncertainties must be taken into account regarding the future development of both the stratospheric ozone layer and the climate. The future development of stratospheric water vapour concentrations is currently highly uncertain. Prognostic studies with numerical models indicate that tropospheric water vapour concentrations would increase with increasing temperatures in the troposphere, which would also enhance the amount of water vapour being transported from the troposphere into the lower tropical stratosphere (e.g. WMO, 2007). Higher stratospheric water vapour concentrations could lead to an increased PSC-forming potential in the polar regions during the winter months and thus enhance the ozone depletion potential. As water vapour is also an important greenhouse gas, changes of atmospheric concentrations would affect atmospheric radiation balance. Stratospheric water vapour concentrations would also increase with rising methane (CH4) concentration (e.g. caused by rice cultivation, intensive livestock farming, thawing of permafrost soils) due to oxidation of CH4, which would itself increase ozone production in the lower stratosphere. On the other hand, rising CH4 concentrations would bind reactive chlorine in the atmosphere. However, CH4 is also an important greenhouse gas. Therefore, higher atmospheric CH4 concentrations would influence both the climate and atmospheric chemistry. A further rise in atmospheric nitrous oxide (N2O) concentrations would increase the amount of atmospheric nitrogen oxides, thus decreasing the ozone content of the middle and upper stratosphere. N2O (although known as laughing gas) stems from both natural (for example oceans and tropical forests) and anthropogenic sources (for example emissions from cultivated soil, industrial processes, the combustion of fossil fuels, biomass, and biofuels). N2O emissions near the Earth’s surface are the most important source of nitrogen oxides in the stratosphere. N2O is also a key greenhouse gas. This is another example which nicely illustrates the close relationship between problems associated with climate change and those relating to changes in the stratospheric ozone layer. Regulating the atmospheric N2O content in the atmosphere is not just important for protecting the Earth’s climate, but also for the future evolution of the stratospheric ozone layer. A reduction in N2O emissions would both lower the anthropogenic greenhouse effect and positively influence the recovery of the ozone layer.
To summarise: Clearly, natural effects such as the variability of solar radiation and particle emissions that are due to strong volcanic eruptions influence the stratospheric ozone concentration. Internal fluctuations of stratospheric circulation affect the thermal structure of the stratosphere and air mass transport. Chemical production and depletion of ozone are determined by photochemical processes, homogeneous gas-phase reactions, and heterogeneous chemistry on the surface of particles (aerosols and PSCs). Understanding atmospheric processes and the interconnections between the various processes is made even more difficult by the fact that atmospheric conditions change over the long term owing to increased greenhouse gas concentrations. Climate change influences the overall stratospheric ozone production (i.e. the sum of ozone depletion and production) both directly and indirectly, and thus determines the rate of ozone regeneration, which will vary with altitude and latitude. Furthermore, changes in stratospheric circulation can potentially modify the development of the ozone layer in the 21st century. For example, a stronger meridional circulation in an atmosphere with increased greenhouse gas concentrations could cause the stratospheric wind systems to change during the winter months, thus for example resulting in decreased zonal wind speeds. This could lead to higher mean stratospheric temperatures in the polar regions and thus less PSCs.
The climate-chemistry connections presented in this chapter clearly demonstrate that in assessing atmospheric changes it is not enough to look at the processes independent of each other. Changes in climate and in the chemical composition of the atmosphere are closely interrelated, sometimes in very complex ways. Therefore, surprising developments cannot be ruled out in the future, either.
Thanks to NASA for the provision of the TOMS satellite data, ESA/DLR for the provision of the GOME and SCIAMACHY data, O3M-SAF/EUMETSAT/DLR for the provision of the GOME-2 data. We would like to thank colleagues from BIRA-IASB (Belgium), DLR (Germany), RT Solutions Inc. (USA) and AUTH (Greece) for their work on ozone retrieval algorithms from the European satellites and corresponding geophysical validation. Special thanks to the DLR colleagues, M. Coldewey-Egbers for merging the GOME/SCIAMACHY/GOME-2 measurements and providing the ozone deviation data, and A. Stenke and H. Garny for the development of the E39CA model and providing the simulation data.This work was partially supported by the ESA Climate Change Initiative project on Ozone (Ozone CCI).
LASIK is the most commonly used corneal refractive surgical procedure to treat ametropia worldwide [1, 2]. Compared to earlier microkeratome variant, femtosecond laser-assisted laser in situ keratomileusis (FsLASIK) provides precise flap creation achieving better morphological stability. Even so, flap related complications, induction of higher-order aberrations, as well as biomechanical corneal instability are still present [3, 4, 5]. When ablating stroma between 10 and 30% of depth, LASIK is estimated to reduce the tensile strength of the stroma by about 35% [6, 7, 8].
In recent years, the lenticle extraction method has gradually become popular as a potential alternative for traditional LASIK and PRK procedures. The femtosecond laser-assisted corneal procedure known as small-incision lenticule extraction (SMILE) was first described by Sekundo et al. in 2008 [9] and after larger series followed, the procedure became clinically available in 2011. Using an ultrashort pulse laser system, procedure delineates contour of tissue volume that needs to be excised in order to accomplish refractive correction. It is a flapless procedure where two precise intrastromal planar sections are created by femtosecond laser forming the lenticule that is manually extracted through a superiorly (nasal/temporal) placed small 2–5 mm length incision after careful dissection from the pocket. When removing intrastromal lenticule, corneal shape is altered without Bowman’s membrane disruption, therefore procedure offers biomechanical stability of the cornea, especially in treatment of higher levels of myopia and astigmatism [6, 9]. Since there is no flap creation, lenticule extraction procedure rules out formerly known risks in LASIK procedures, such as flap creation complication and dislocation [6, 7, 8, 10, 11, 12].
Recently, two emerging alternatives have been introduced in the market: CLEAR using Z8 by Ziemer, Switzerland [13, 14, 15] and SmartSight using ATOS by SCHWIND eye-tech-solutions, Germany [16, 17].
CLEAR (Corneal Lenticule Extraction for Advanced Refractive correction) treatment is an additional treatment program from FEMTO LDV Z8, which is a multipurpose laser (cataract surgery, corneal transplantation, flap creation for LASIK, tunnel/pocket creation for inlays, arcuate incision). In the technical aspect, it works under pulse energies below 100 nJ with a repetition rate above 20 MHz and a spiral raster laser pattern [15]. Besides eye-tracking guided centration, the laser system has intraoperative OCT, which is predominantly used for cases of corneal transplantation, tunnel creation for inlays, and cataract surgery. The ability to create two side-cuts potentially reduces the learning curve for less experienced surgeons since tunnels guide directly to the anticipated plane of the lenticule (anterior or posterior) [13, 14].
SmartSight treatment profile by SCHWIND ATOS, without using side cuts, does not have a minimal thickness (as in SMILE) and includes lenticule tapering toward the periphery, a refractive progressive transition zone, to achieve minimal refractive regression by reducing epithelial remodelling [17] The laser works in the plasma-mediated ablation regime, slightly above the threshold for laser-induced optical breakdown, and below the photodisruption regime. It works under pulse energy below 100 nJ, with spot spacing >4 μm and track spacing ~3 μm, with a repetition rate up to 4 MHz, and an asymmetric scanning pattern. The laser system has cyclotorsion control, where it incorporates a video-based eye registration from the diagnostic image along with an eye-tracker guided centration to improve the predictability of the astigmatic corrections (Figure 1).
Video-based eye registration (cyclotorsion control) from the diagnostic image along with an eye-tracker guided centration inside the Schwind ATOS.
When forming and extracting lenticule in SMILE procedure from anterior half of the stroma, the tensile corneal strength is reduced by 55% while this effect is less profound in the case of lenticule formed in deeper stromal layers [7] Therefore, extent of changes in biomechanical corneal properties is depending on the lenticule volume and location (depth) in the cornea [7, 8, 18].
The differences between SMILE and FsLASIK are potential sources that could influence the final refractive and overall optical performance of the eye after surgery by inducing unwanted astigmatism. Moreover, there has been an increasing awareness and understanding of the change in higher-order optical aberrations following corneal refractive surgery over the last two decades. It is widely accepted that higher-order aberrations should be either maintained after surgery at preoperative levels or modified to improve the overall optical and visual performances of the eye [19, 20, 21, 22].
Indications for lenticule extraction adhere to the guidelines for all corneal refractive surgical procedures [23].
Prior to the decision if the patient meets the criteria for refractive surgery complete ophthalmologic examination is needed. The examination includes uncorrected distance visual acuity, corrected distance visual acuity, manifest and cycloplegic refraction, corneal tomography, corneal and ocular aberrometry, tonometry, slit lamp, and dilated funduscopic examination.
Patients with stable refraction, myopia up to −10.00 D, and astigmatism up to 5 D or SE up to 12.50 D with sufficient corneal thickness and normal tomography are considered eligible candidates. As the most common contraindications would be considered: abnormal corneal topography, signs of progressive preoperative corneal thickness <480 μm or calculated residual stromal bed thickness <275 μm, scotopic pupil wider than 7.5 mm, dry eye, inflammation of ocular adnexa and periocular area, active autoimmune disease or connective tissue diseases.
The surgery is performed under topical anesthesia. After standardized cleaning with 2.5% povidone-iodine and sterile draping, an eyelid speculum is used to keep the eye open. After positioning patient on the surgical bed, and connecting the surgical cone (disposable interface) to suction ports, the patient is instructed to fixate the light target when the eye is aligned with the cone. When centration coincides with the visual axis and there is visible matching of corneal vertex (from corneal tomography), suction can be applied, followed by treatment initialization and laser ablation immediately after complete suction is achieved. Caps can be 100–150 μm thick and incisions are usually positioned superotemporal with width between 2.5 and 3.2 mm. The optical zone selected depends on the scotopic pupil size and attempted correction. Automatic suction release occurs upon completion of lenticule formation. After identifying both anterior and posterior lenticular surface with thin blunt spatula, separation of the lenticule and extraction through the side cut is performed. In order to detect any residual material or tears, lenticule tissue is thoroughly inspected.
In two separated studies we were evaluating outcomes, safety, efficacy, and predictability of small-incision lenticule extraction procedures performed at different laser systems. For treating myopia and myopic astigmatism. In first study, ReLEx SMILE procedure was performed on VisuMax from Zeiss, with comparing refractive and visual outcomes with FsLASIK procedure performed on VisuMax for flap creation and Schwind Sirius 750s for excimer ablation at one-year period. The second study was conducted on Atos for Schwind eye-tech-solutions, performing SmartSight lenticule extraction procedure. During a three-month follow up refractive, wavefront, and topographic outcomes were evaluated. The results of both studies are presented below.
There was a significant difference in the magnitude of astigmatism between the SMILE and the FsLASIK groups one year after the surgery [24]. Postoperatively, the amount of any astigmatism revealed by subjective refraction results from a combination of the treated astigmatism coupled with the effects of postoperative healing. In the SMILE group, we encountered more residual manifest astigmatism compared with the FsLASIK group. Vector analysis of astigmatism did not show any difference between the two groups prior to surgery. Both mean J0 and J45 values were slightly lower in the FsLASIK group in comparison with the SMILE group indicating that astigmatism is less prevalent after FsLASIK (Figures 2–5). This indication is further supported by the slightly higher surgically induced astigmatism values following SMILE compared with FsLASIK. Both techniques of vector analysis show that individual differences between the vector value pre- and postoperative were strongly correlated with the preoperative vector values. This is encouraging indicating that for individual cases the postoperative astigmatic vector values can be predicted with precision using the preoperative astigmatic value in both SMILE and FsLASIK. The Thibos\' method of vector analysis [25], clearly points out that within the SMILE group the correlation between ΔJ45 and preoperative J45 (0.792) tended to be lower in comparison with the counterpart in the FsLASIK group (0.924). This suggests that the precision of controlling a change in astigmatism with FsLASIK is superior compared with SMILE.
Change in J0 vector value in each case treated with SMILE procedure. Significant association between the change in J0 (ΔJ0) and preop J0 value presented as linear regression. The least squares line: ΔJ0 = 1.015J0 + 0.040 (R = .861, N = 89, P < .001).
Change in J45 vector value in each case treated with SMILE procedure. Significant association between the change in J45 (ΔJ45) and preop J45 value is presented as linear regression. The least squares line: ΔJ45 = 1.082J45 + 0.019 (R = .792, N = 89, P < .001).
Change in J0 vector value in each case treated with FsLASIK procedure. Significant association between the change in J0 (ΔJ0) and preop J0 value is presented as linear regression. The least squares line: ΔJ0 = 0.952J0 − 0.005 (R = .921, N = 92, P < .001).
Change in J45 vector value in each case treated with FsLASIK procedure. Significant association between the change in J45 (ΔJ45) and preop J45 value. Is presented as linear regression. The least squares line: ΔJ45 = 0.962J45 − 0.002 (R = .923, N = 92, P < .001).
Turning to the mean target and surgically induced astigmatism values, in the FsLASIK group the target and surgically induced astigmatism values were nearly identical. This can only occur when the residual astigmatism is almost totally nullified. In the SMILE group, the mean surgically induced astigmatism was significantly higher than the target induced astigmatism (−0.57 D and −0.41 D respectively). This indicates that the SMILE procedure tends to overcorrect and even induce astigmatism. The centration is different for both SMILE and FsLASIK procedures, wherein SMILE, procedure is centred on the visual axis and FsLASIK is centred on the corneal vertex. In the event that the intersection of the corneal surface and the visual axis does not coincide with corneal apex, a smaller amount of unwanted astigmatism may be predicted [26]. Given the procedure centration on corneal vertex, this should more likely occur after FsLASIK. Other factors must be responsible for the increased astigmatism after SMILE.
In Figures 6 and 7 vector diagrams demonstrate the unwanted induced astigmatism that occurred in some cases, where surgically induced astigmatism values appear more dispersed from the central point in the SMILE group compared with the FsLASIK group. Of a total of 89 eyes treated with SMILE procedure, at one-year postop we found three cases where astigmatism increased by 0.75 D and 10 cases where astigmatism increased by 0.50 D. The results of astigmatic corrections after SMILE differ among authors. Some authors reported no significant differences in postoperative astigmatism between SMILE and FsLASIK, and no significant increases in astigmatism [27, 28]. On the other hand, others reported more favourable outcomes after FsLASIK [29]. In addition, Kunert et al. [30] and Qian et al. [31] reported up to 1.00 D overcorrection of astigmatism and an overall undercorrection of high astigmatism after the SMILE procedure. None of the available reports mentions or discusses cases where astigmatism becomes manifest during the postop period. Unexpected postoperative astigmatism following a SMILE procedure could, to some extent, be explained by insufficient intraoperative centration, decentration of refractive lenticule ablation profile relative to the visual axis, dislodged fragments from the lenticule (although we did not encounter any), and the impact of any epithelial hyperplasia during the postoperative period. The lower incidence of astigmatism in the FsLASIK group may be linked to the advanced eye-tracking devices designed to compensate for any cyclotorsional effect and eye movements during the excimer laser ablation [32]. For the SMILE procedure centration was achieved manually after instructing the patient to fixate a blinking green light and locking the laser procedure about the visual axis using suction ports [6]. Slight tilting of the lenticule, in association with any decentration, would further contribute to any unexpected postop astigmatism.
Polar diagram showing target and surgically induced astigmatic values for the SMILE group. The targeted surgically induced astigmatism data points are shown as empty circles and filled dots respectively, with semicircles from −2 DC to 0 (central point) in 0.5DC steps and from 0°to 90°and 180° (right to left) in 30° steps.
Polar diagram showing target and surgically induced astigmatic values for the FsLASIK group. The target and surgically induced astigmatism data points are shown as empty circles and filled dots respectively, with semicircles from −2 DC to 0 (central point) in 0.5DC steps and from 0°to 90°and 180° (right to left) in 30° steps.
At one-year postop, significant differences between the two groups were found for all higher-order aberrations (HOAs). Coma, trefoil, and spherical aberration (SA) tended to be lower in the FsLASIK group compared with SMILE. In the SMILE group, a significant increase in postoperative SA was revealed while there were no differences for coma or trefoil. For the FsLASIK group, significant changes in coma and trefoil were observed but not for SA. The changes in the mean values of some HOAs were statistically significant, but their clinical relevance is open to question. Figures 8–13 show there are highly significant correlations between changes in coma, trefoil, and SA in individual cases when compared with preoperative values. The results of these linear regressions can be used to predict the likely change in an HOA we can expect to encounter after surgical intervention on an individual case-by-case basis. For example, Figures 8 and 9 show preoperative values for coma below 0.15 μm are not expected to change greatly after either SMILE or FsLASIK. The magnitude of coma is predicted to fall by approximately 0.14 μm after either procedure when the preop value is in the region of 0.30 μm. Turning to Figures 12 and 13, when the preoperative SA is of the order +0.10 μm the postoperative value should reduce by nearly 50% after either SMILE or FsLASIK. However, if the preoperative was −0.10 μm the predicted postoperative value after SMILE is +0.010 μm and +0.002 μm after FsLASIK. Thus, when refractive surgery is the desired option, it would be advisable to treat highly aberrated eyes with FsLASIK.
Change in coma value in each case treated with SMILE procedure. Significant association between the change in coma (y) and preop coma (x) value presented as linear regression. The least squares line: y = 0.847x − 0.094 (R = .562, N = 89, P < .001).
Change in coma value in each case treated with FsLASIK procedure. Significant association between the change in coma (y) and preop coma (x) value presented as linear regression. The least squares line: y = 0.688x − 0.034 (R = .743, N =92, P < .001).
Change in trefoil value in each case treated with SMILE procedure. Significant association between the change in trefoil (y) and preop trefoil (x) value presented as linear regression. The least squares line: y = 0.793x − 0.057 (r = .515, N = 89, P < .001).
Change in trefoil value in each case treated with FsLASIK procedure. Significant association between the change in trefoil (y) and preop trefoil (x) value presented as linear regression. The least squares line: y = 0.741x − 0.027 (R = .618, N = 92, P < .001).
Change in spherical aberration (SA) value in each case treated with SMILE procedure. Significant association between the change in SA (y) and preop SA (x) value presented as linear regression. The least squares line: y = 0.832x − 0.027 (R = .779, N = 89, P < .001).
Change in spherical aberration (SA) value in each case treated with FsLASIK procedure. Significant association between the change in SA (y) and preop SA (x) value presented as linear regression. The least squares line: y = 0.428x + 0.004 (R = .545, N = 92, P < .001).
Our results conflict with other published reports. Wu et al. [33] reported the magnitude of all higher-order aberrations increased after either SMILE or FsLASIK. However, after surgery, the average values for SA and horizontal coma were lower in the SMILE group compared with the FsLASIK group. Lin et al. [34] also reported increases in all ocular higher-order aberrations after both SMILE and FsLASIK but, with significantly lower values of SA and coma after the SMILE procedure. Others report that contrast sensitivity improved after SMILE implying more favorable high order aberration profiles [6, 28]. Our experience does not support previous reports because we found SA increased after SMILE with coma and trefoil reduction after the FsLASIK. The differences between some reports may be due to several factors such as geographical factors. For example, the work of Wu et al. [33] Lin et al. [34], and Liu et al. [35] were based in Southeast Asia, and the work by Ganesh et al. [36] was based in India. Our results were obtained predominantly from Caucasian eyes. The differences in the outcomes between studies can result from a variety of reasons including genetic factors. However, results based on studies in other territories are concordant with the findings from Asia [6, 27, 37].
In conclusion, our experience with both procedures yields satisfactory visual acuity results. However, FsLASIK offers a marginally improved outcome as indicated by the residual high order aberrations and astigmatism.
The short-term changes at three-month follow-up of the efficacy and safety of lenticule extraction treatments using the SmartSight profile were analyzed.
The main difference and advantage of SCHWIND ATOS and SmartSight at this time of development is the low energy delivered to the cornea since the laser works slightly above the threshold for the laser-induced optical breakdown with energies between 80 and 100 nJ. In addition, the laser also possesses features such as cyclotorsion control and eye-tracker guided centration. Lack of the abovementioned technologies was one of the main drawbacks for the surgeons in transition from excimer laser-based procedures to lenticular extraction and was often emphasized as the main shortcoming in the treatment of a higher amount of astigmatism.
The analysis revealed promising results after the treatment. The unaided vision was expected to improve overall. Most of the outcome measures showed significant improvement compared to the preoperative status. The improvement in visual acuities was significant (Figures 14–16).
Standard graphs for reporting outcomes in laser vision correction: Cumulative Snellen Visual acuity.
Difference between UDVA and CDVA.
Accuracy of MRSEq to intended target (D).
An excellent refractive outcome was observed in terms of manifest refraction, but this was only partly confirmed by the objective refraction and the topographical changes. This suggests that manifest refraction may be more forgiving in terms of exactly determining the accuracy of the treatments, but at the same time, UDVA is the main driver for patient satisfaction. CDVA loss of two lines occurred only in a single eye (Figure 17).
Change in Snellen lines of CDVA.
At three months after the surgery, for the change in wavefront refraction or corneal keratometry 68% of eyes were within 0.5D from target (Figures 18 and 19), with 63% and 58% of eyes within 0.5D from target astigmatism for wavefront refraction and corneal keratometry, respectively (Figures 20 and 21). The angle of error was within 25° from the attempted astigmatism axis in 60% and 42% of the eyes for wavefront refraction and corneal keratometry, respectively (Figure 22).
Wavefront refraction vs. attempted SEQ (D).
Accuracy of SEQ to intended target (D).
Scattergram of achieved change in wavefront refraction vs attempted correction of the astigmatism.
Percentage of eyes within intended target of postoperative astigmatism.
Angle of error from attempted astigmatism axis.
Previous publications, like recent studies by Sideroudi et al. [38] and Ganesh et al. [39], suggest that undercorrection in SMILE can be associated with forward shifting of posterior corneal surface that leads to posterior curvature steepening. Opposite to our findings, some works report lower changes observed in keratometries than in refraction. This could be due to using simpler models and not considering difference in refractive indices (used for keratometry) and actual refractive corneal index, the effect of central tissue removal on refraction, or effect of the vertex distance on planned refraction (spectacle plane to corneal plane). Taking this into consideration, The SmartSight profile involves tapering the lenticule toward the edge to achieve smoothing of the transition zone from treated to the untreated cornea in an attempt to reduce the biomechanical changes and epithelial remodelling on the edge of the treatment. It is determined as refractive progressive transition zone, similar to the one used in the SCHWIND AMARIS ablation profiles, ranging from 0.2 mm to 0.8 mm, determined by corneal curvature gradient and also induced by correction.
In this study at three months, the scattergram of achieved change in wavefront refraction vs. achieved change in keratometry readings of the SEQ showed a very good correlation (Figure 23), with 75% eyes within 0.75D (Figure 24).
Scattergram of achieved change in wavefront refraction vs achieved change in keratometry readings of the SEQ.
Agreement of change in SEQ between wavefront refraction and keratometry readings.
Corneal aberrations slightly increased after the treatment, but the change of ocular aberrations was very minor and non-significant (Figures 25 and 26). This may confirm the relatively neutral behaviour in terms of aberrations reported from other refractive lenticule extraction techniques, as well as be indicative of adequate centration. SA was less positive when measured with ocular aberrations than for corneal aberrations. Postoperative corneal SA increased more than ocular SA, remaining stable at three months follow-up. The RMS higher-order aberrations increased, both for corneal and ocular aberrations, with corneal aberrations showing systematically higher inductions HOA than the ocular counterparts (Figure 27). Corneal topography and aberrometry revealed an induction of positive SA associated with an increase in the RMS higher-order aberrations.
Preoperative and postoperative corneal wavefront aberrations.
Preoperative and postoperative ocular wavefront aberrations.
Change in postoperative HOAs from preoperative baseline.
A limitation of this work is that only 50 eyes of 31 consecutive patients completed the three-months follow-up and were included for analyses. Another limitation is the retrospective nature of the study. Several confounding factors may be argued in our review, we have considered both eyes of the patients.
These clinical results are presented based on a three-month clinical follow-up, which is considered minimal for establishing notable clinical significance in refractive surgery. In literature, however, there are results with shorter follow-ups reported for determining the time-course of visual recovery. Studies with longer follow-ups and a greater number of clinical cases will shed light on the durability of performance and allow for further nomogram refinement to improve outcomes.
When achieving excellent clinical visual outcomes in refractive surgery, it is often difficult to demonstrate that novel procedures like lenticule extraction are superior to the standardized LASIK procedure. Up to this point, comparable outcomes in terms of refractive predictability, efficacy, and safety at minimum of three months were found, also theoretical biomechanical advantage of lenticule extraction over Fs. LASIK was described in the literature. Still, a longer learning curve for the surgeons, more frequent suction loss occurrence, prolonged visual recovery, and complicated enhancement treatment have been observed when comparing lenticule extraction to traditional Fs. LASIK. Aforementioned requires further enhancement and refinement of the procedure. Given the increasing clinical use over the last decade, lenticule extraction treatment has continuously been optimized and improved through multiple iterations. Introduction of new laser platforms such as CLEAR and SmartSight, with different energy levels, repetition rates and spot spacing has significantly improved visual outcomes. Precisely, combining high frequency and low energy profile for smooth cutting results in lenticule surface that could provide better clinical performance and optical quality for each laser platform. SmartSight treatment includes even a refractive progressive transition zone tapering the lenticule towards the edge of the transition zone to reduce epithelial remodelling and, therefore refractive regression. Additionally, eye tracking, the centring according to pupil, vertex or defined offset by surgeon, and the video-based cyclotorsion compensation are particularly helpful in astigmatism correction. More studies involving a larger number of patients with longer follow-up will evaluate if new profiles and laser platforms can improve already achieved good visual outcomes after lenticule extraction.
The authors declare no conflict of interest.
laser in situ keratomileusis small-incision lenticule extracton femtosecond laser-assisted in situ keratomileusis photorefractive keratectomy corneal lenticule extraction for advanced refractive correction optical coherence tomography diopter diopter cylinder spherical equivalent higher order aberration spherical aberration uncorrected distance visual acuity corrected distance visual acuity root mean square ocular wavefront corneal wavefront nano Joule mega Hertz micrometer vector of astigmatism power at axis of 90° and 180°, so-called Cartesian or with-the-rule astigmatism vector of astigmatism power at axis of 45° and 135°, so called oblique astigmatism overall change in value of J45 overall change in value of J0 value that indicates a linear correlation between variables measure of the probability that an observe difference could have occurred
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Diseases"},signatures:"Erminio Trevisi, Massimo Amadori, Ivonne Archetti, Nicola Lacetera and Giuseppe Bertoni",authors:[{id:"40371",title:"Dr.",name:"Massimo",middleName:null,surname:"Amadori",slug:"massimo-amadori",fullName:"Massimo Amadori"},{id:"47776",title:"Prof.",name:"Erminio",middleName:null,surname:"Trevisi",slug:"erminio-trevisi",fullName:"Erminio Trevisi"},{id:"47777",title:"Dr.",name:"Ivonne",middleName:null,surname:"Archetti",slug:"ivonne-archetti",fullName:"Ivonne Archetti"},{id:"47778",title:"Prof.",name:"Nicola",middleName:null,surname:"Lacetera",slug:"nicola-lacetera",fullName:"Nicola Lacetera"},{id:"47779",title:"Prof.",name:"Giuseppe",middleName:null,surname:"Bertoni",slug:"giuseppe-bertoni",fullName:"Giuseppe Bertoni"}]},{id:"21680",doi:"10.5772/19492",title:"Application of Acute Phase Proteins for Monitoring Inflammatory States in Cattle",slug:"application-of-acute-phase-proteins-for-monitoring-inflammatory-states-in-cattle",totalDownloads:3293,totalCrossrefCites:2,totalDimensionsCites:21,abstract:null,book:{id:"534",slug:"acute-phase-proteins-as-early-non-specific-biomarkers-of-human-and-veterinary-diseases",title:"Acute Phase Proteins as Early Non-Specific Biomarkers of Human and Veterinary Diseases",fullTitle:"Acute Phase Proteins as Early Non-Specific Biomarkers of Human and Veterinary Diseases"},signatures:"Burim N. Ametaj, Afshin Hosseini, John F. Odhiambo, Summera Iqbal, Sumeet Sharma, Qilan Deng, Tran H. Lam, Umar Farooq, Qendrim Zebeli and Suzanna M. Dunn",authors:[{id:"35129",title:"Prof.",name:"Burim",middleName:null,surname:"Ametaj",slug:"burim-ametaj",fullName:"Burim Ametaj"},{id:"49239",title:"Prof.",name:"Qendrim",middleName:null,surname:"Zebeli",slug:"qendrim-zebeli",fullName:"Qendrim Zebeli"},{id:"49242",title:"MSc",name:"Sarah",middleName:null,surname:"Terrill",slug:"sarah-terrill",fullName:"Sarah Terrill"}]},{id:"21456",doi:"10.5772/18241",title:"Haptoglobin and Hemopexin in Heme Detoxification and Iron Recycling",slug:"haptoglobin-and-hemopexin-in-heme-detoxification-and-iron-recycling",totalDownloads:4123,totalCrossrefCites:5,totalDimensionsCites:20,abstract:null,book:{id:"234",slug:"acute-phase-proteins-regulation-and-functions-of-acute-phase-proteins",title:"Acute Phase Proteins",fullTitle:"Acute Phase Proteins - Regulation and Functions of Acute Phase Proteins"},signatures:"Deborah Chiabrando, Francesca Vinchi, Veronica Fiorito and Emanuela Tolosano",authors:[{id:"30837",title:"Prof.",name:"Emanuela",middleName:null,surname:"Tolosano",slug:"emanuela-tolosano",fullName:"Emanuela Tolosano"},{id:"48270",title:"Dr.",name:"Deborah",middleName:null,surname:"Chiabrando",slug:"deborah-chiabrando",fullName:"Deborah Chiabrando"},{id:"48271",title:"Dr.",name:"Francesca",middleName:null,surname:"Vinchi",slug:"francesca-vinchi",fullName:"Francesca Vinchi"},{id:"48272",title:"Dr.",name:"Veronica",middleName:null,surname:"Fiorito",slug:"veronica-fiorito",fullName:"Veronica Fiorito"}]},{id:"45299",doi:"10.5772/56101",title:"Molecular Aspects of Human Alpha-1 Acid Glycoprotein — Structure and Function",slug:"molecular-aspects-of-human-alpha-1-acid-glycoprotein-structure-and-function",totalDownloads:3369,totalCrossrefCites:6,totalDimensionsCites:20,abstract:null,book:{id:"3318",slug:"acute-phase-proteins",title:"Acute Phase Proteins",fullTitle:"Acute Phase Proteins"},signatures:"Kazuaki Taguchi, Koji Nishi, Victor Tuan Giam Chuang, Toru\nMaruyama and Masaki Otagiri",authors:[{id:"158116",title:"Prof.",name:"Masaki",middleName:null,surname:"Otagiri",slug:"masaki-otagiri",fullName:"Masaki Otagiri"},{id:"158238",title:"Dr.",name:"Kazuaki",middleName:null,surname:"Taguchi",slug:"kazuaki-taguchi",fullName:"Kazuaki Taguchi"},{id:"165882",title:"Dr.",name:"Koji",middleName:null,surname:"Nishi",slug:"koji-nishi",fullName:"Koji Nishi"},{id:"165883",title:"Dr.",name:"Victor Tuan Giam",middleName:null,surname:"Chuang",slug:"victor-tuan-giam-chuang",fullName:"Victor Tuan Giam Chuang"},{id:"165884",title:"Prof.",name:"Toru",middleName:null,surname:"Maruyama",slug:"toru-maruyama",fullName:"Toru Maruyama"}]},{id:"46263",doi:"10.5772/57507",title:"HLA-E, HLA-F and HLA-G — The Non-Classical Side of the MHC Cluster",slug:"hla-e-hla-f-and-hla-g-the-non-classical-side-of-the-mhc-cluster",totalDownloads:2484,totalCrossrefCites:11,totalDimensionsCites:17,abstract:null,book:{id:"3824",slug:"hla-and-associated-important-diseases",title:"HLA and Associated Important Diseases",fullTitle:"HLA and Associated Important Diseases"},signatures:"Iris Foroni, Ana Rita Couto, Bruno Filipe Bettencourt, Margarida\nSantos, Manuela Lima and Jácome Bruges-Armas",authors:[{id:"70522",title:"Dr.",name:"Jacome",middleName:null,surname:"Bruges Armas",slug:"jacome-bruges-armas",fullName:"Jacome Bruges Armas"},{id:"81144",title:"Dr.",name:"Ana Rita",middleName:null,surname:"Couto Rendeiro",slug:"ana-rita-couto-rendeiro",fullName:"Ana Rita Couto Rendeiro"},{id:"81147",title:"Prof.",name:"Manuela",middleName:null,surname:"Lima",slug:"manuela-lima",fullName:"Manuela Lima"},{id:"82501",title:"Ph.D.",name:"Bruno Filipe",middleName:null,surname:"Bettencourt",slug:"bruno-filipe-bettencourt",fullName:"Bruno Filipe Bettencourt"},{id:"170238",title:"Dr.",name:"Iris",middleName:null,surname:"Foroni",slug:"iris-foroni",fullName:"Iris Foroni"},{id:"170824",title:"Dr.",name:"Margarida",middleName:null,surname:"Santos",slug:"margarida-santos",fullName:"Margarida Santos"}]}],mostDownloadedChaptersLast30Days:[{id:"65210",title:"Introductory Chapter: Concept of Human Leukocyte Antigen (HLA)",slug:"introductory-chapter-concept-of-human-leukocyte-antigen-hla-",totalDownloads:2753,totalCrossrefCites:2,totalDimensionsCites:5,abstract:null,book:{id:"7140",slug:"human-leukocyte-antigen-hla-",title:"Human Leukocyte Antigen (HLA)",fullTitle:"Human Leukocyte Antigen (HLA)"},signatures:"Batool Mutar Mahdi",authors:[{id:"77656",title:"Dr.",name:"Batool Mutar",middleName:null,surname:"Mahdi",slug:"batool-mutar-mahdi",fullName:"Batool Mutar Mahdi"}]},{id:"21456",title:"Haptoglobin and Hemopexin in Heme Detoxification and Iron Recycling",slug:"haptoglobin-and-hemopexin-in-heme-detoxification-and-iron-recycling",totalDownloads:4123,totalCrossrefCites:5,totalDimensionsCites:20,abstract:null,book:{id:"234",slug:"acute-phase-proteins-regulation-and-functions-of-acute-phase-proteins",title:"Acute Phase Proteins",fullTitle:"Acute Phase Proteins - Regulation and Functions of Acute Phase Proteins"},signatures:"Deborah Chiabrando, Francesca Vinchi, Veronica Fiorito and Emanuela Tolosano",authors:[{id:"30837",title:"Prof.",name:"Emanuela",middleName:null,surname:"Tolosano",slug:"emanuela-tolosano",fullName:"Emanuela Tolosano"},{id:"48270",title:"Dr.",name:"Deborah",middleName:null,surname:"Chiabrando",slug:"deborah-chiabrando",fullName:"Deborah Chiabrando"},{id:"48271",title:"Dr.",name:"Francesca",middleName:null,surname:"Vinchi",slug:"francesca-vinchi",fullName:"Francesca Vinchi"},{id:"48272",title:"Dr.",name:"Veronica",middleName:null,surname:"Fiorito",slug:"veronica-fiorito",fullName:"Veronica Fiorito"}]},{id:"46315",title:"In Phase HLA Genotyping by Next Generation Sequencing — A Comparison Between Two Massively Parallel Sequencing Bench-Top Systems, the Roche GS Junior and Ion Torrent PGM",slug:"in-phase-hla-genotyping-by-next-generation-sequencing-a-comparison-between-two-massively-parallel-se",totalDownloads:4503,totalCrossrefCites:1,totalDimensionsCites:7,abstract:null,book:{id:"3824",slug:"hla-and-associated-important-diseases",title:"HLA and Associated Important Diseases",fullTitle:"HLA and Associated Important Diseases"},signatures:"Jerzy K. Kulski, Shingo Suzuki, Yuki Ozaki, Shigeki Mitsunaga,\nHidetoshi Inoko and Takashi Shiina",authors:[{id:"169295",title:"Dr.",name:"Jerzy",middleName:"Kazimierz",surname:"Kulski",slug:"jerzy-kulski",fullName:"Jerzy Kulski"},{id:"170241",title:"Dr.",name:"Shingo",middleName:null,surname:"Suzuki",slug:"shingo-suzuki",fullName:"Shingo Suzuki"},{id:"170242",title:"Dr.",name:"Yuki",middleName:null,surname:"Ozaki",slug:"yuki-ozaki",fullName:"Yuki Ozaki"},{id:"170243",title:"Dr.",name:"Shigeki",middleName:null,surname:"Mitsunaga",slug:"shigeki-mitsunaga",fullName:"Shigeki Mitsunaga"},{id:"170244",title:"Prof.",name:"Hidetoshi",middleName:null,surname:"Inoko",slug:"hidetoshi-inoko",fullName:"Hidetoshi Inoko"},{id:"170245",title:"Prof.",name:"Takashi",middleName:null,surname:"Shiina",slug:"takashi-shiina",fullName:"Takashi Shiina"}]},{id:"66411",title:"TNFR2 and Regulatory T Cells: Potential Immune Checkpoint Target in Cancer Immunotherapy",slug:"tnfr2-and-regulatory-t-cells-potential-immune-checkpoint-target-in-cancer-immunotherapy",totalDownloads:980,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"TNF has both proinflammatory and antiinflammatory effects. It binds to two structurally related but functionally distinct receptors TNFR1 and TNFR2. Unlike TNFR1 that is ubiquitously expressed, TNFR2 expression is more limited to myeloid and lymphoid cell lineages including a fraction of regulatory T cells (Treg). In general, TNFR1 is responsible for TNF-mediated cell apoptosis and death, and mostly induces proinflammatory reactions. However, TNFR2 mainly leads to functions related to cell survival and immune suppression. Treg play an indispensable role in maintaining immunological self-tolerance and restraining excessive immune reactions deleterious to the host. Impaired Treg-mediated immune regulation has been observed in various autoimmune diseases as well as in cancers. Therefore, Treg might provide an ideal therapeutic target for diseases where the immune balance is impaired and could benefit from the regulation of Treg properties. TNFR2 is highly expressed on Treg in mice and in humans, and TNFR2+ Treg reveal the most potent suppressive capacity. TNF-TNFR2 ligation benefits Treg proliferation, although the effect on Treg suppressive function remains controversial. Here, we will describe in detail the TNF-mediated regulation of Treg and the potential clinical applications in cancer immunotherapy as well as in autoimmune diseases, with the focus on human Treg subsets.",book:{id:"7853",slug:"cytokines",title:"Cytokines",fullTitle:"Cytokines"},signatures:"Xuehui He and Xinhui Wang",authors:[{id:"284559",title:"Dr.",name:"Xuehui",middleName:null,surname:"He",slug:"xuehui-he",fullName:"Xuehui He"},{id:"296531",title:"Dr.",name:"Xinhui",middleName:null,surname:"Wang",slug:"xinhui-wang",fullName:"Xinhui Wang"}]},{id:"46259",title:"HLA in Gastrointestinal Inflammatory Disorders",slug:"hla-in-gastrointestinal-inflammatory-disorders",totalDownloads:2031,totalCrossrefCites:2,totalDimensionsCites:2,abstract:null,book:{id:"3824",slug:"hla-and-associated-important-diseases",title:"HLA and Associated Important Diseases",fullTitle:"HLA and Associated Important Diseases"},signatures:"M.I. Torres, T. Palomeque and P. Lorite",authors:[{id:"34102",title:"Dr.",name:"Isabel",middleName:null,surname:"Torres",slug:"isabel-torres",fullName:"Isabel Torres"},{id:"213607",title:"Dr.",name:"Pedro",middleName:null,surname:"Lorite",slug:"pedro-lorite",fullName:"Pedro Lorite"},{id:"213610",title:"Prof.",name:"Palomeque",middleName:null,surname:"T",slug:"palomeque-t",fullName:"Palomeque T"}]}],onlineFirstChaptersFilter:{topicId:"1040",limit:6,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:89,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:104,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:32,numberOfPublishedChapters:317,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:12,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:141,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:113,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:105,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:2,numberOfUpcomingTopics:1,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:5,numberOfOpenTopics:1,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!0},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:15,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}},{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}}]},series:{item:{id:"7",title:"Biomedical Engineering",doi:"10.5772/intechopen.71985",issn:"2631-5343",scope:"Biomedical Engineering is one of the fastest-growing interdisciplinary branches of science and industry. The combination of electronics and computer science with biology and medicine has improved patient diagnosis, reduced rehabilitation time, and helped to facilitate a better quality of life. Nowadays, all medical imaging devices, medical instruments, or new laboratory techniques result from the cooperation of specialists in various fields. The series of Biomedical Engineering books covers such areas of knowledge as chemistry, physics, electronics, medicine, and biology. This series is intended for doctors, engineers, and scientists involved in biomedical engineering or those wanting to start working in this field.",coverUrl:"https://cdn.intechopen.com/series/covers/7.jpg",latestPublicationDate:"June 25th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:12,editor:{id:"50150",title:"Prof.",name:"Robert",middleName:null,surname:"Koprowski",slug:"robert-koprowski",fullName:"Robert Koprowski",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYTYNQA4/Profile_Picture_1630478535317",biography:"Robert Koprowski, MD (1997), PhD (2003), Habilitation (2015), is an employee of the University of Silesia, Poland, Institute of Computer Science, Department of Biomedical Computer Systems. For 20 years, he has studied the analysis and processing of biomedical images, emphasizing the full automation of measurement for a large inter-individual variability of patients. Dr. Koprowski has authored more than a hundred research papers with dozens in impact factor (IF) journals and has authored or co-authored six books. Additionally, he is the author of several national and international patents in the field of biomedical devices and imaging. Since 2011, he has been a reviewer of grants and projects (including EU projects) in biomedical engineering.",institutionString:null,institution:{name:"University of Silesia",institutionURL:null,country:{name:"Poland"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:6,paginationItems:[{id:"22",title:"Applied Intelligence",coverUrl:"https://cdn.intechopen.com/series_topics/covers/22.jpg",isOpenForSubmission:!0,editor:{id:"27170",title:"Prof.",name:"Carlos",middleName:"M.",surname:"Travieso-Gonzalez",slug:"carlos-travieso-gonzalez",fullName:"Carlos Travieso-Gonzalez",profilePictureURL:"https://mts.intechopen.com/storage/users/27170/images/system/27170.jpeg",biography:"Carlos M. Travieso-González received his MSc degree in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain in 1997, and his Ph.D. degree in 2002 at the University of Las Palmas de Gran Canaria (ULPGC-Spain). He is a full professor of signal processing and pattern recognition and is head of the Signals and Communications Department at ULPGC, teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 52 international and Spanish research projects, some of them as head researcher. He is co-author of 4 books, co-editor of 27 proceedings books, guest editor for 8 JCR-ISI international journals, and up to 24 book chapters. He has over 450 papers published in international journals and conferences (81 of them indexed on JCR – ISI - Web of Science). He has published seven patents in the Spanish Patent and Trademark Office. He has been a supervisor on 8 Ph.D. theses (11 more are under supervision), and 130 master theses. He is the founder of The IEEE IWOBI conference series and the president of its Steering Committee, as well as the founder of both the InnoEducaTIC and APPIS conference series. He is an evaluator of project proposals for the European Union (H2020), Medical Research Council (MRC, UK), Spanish Government (ANECA, Spain), Research National Agency (ANR, France), DAAD (Germany), Argentinian Government, and the Colombian Institutions. He has been a reviewer in different indexed international journals (<70) and conferences (<250) since 2001. He has been a member of the IASTED Technical Committee on Image Processing from 2007 and a member of the IASTED Technical Committee on Artificial Intelligence and Expert Systems from 2011. \n\nHe has held the general chair position for the following: ACM-APPIS (2020, 2021), IEEE-IWOBI (2019, 2020 and 2020), A PPIS (2018, 2019), IEEE-IWOBI (2014, 2015, 2017, 2018), InnoEducaTIC (2014, 2017), IEEE-INES (2013), NoLISP (2011), JRBP (2012), and IEEE-ICCST (2005)\n\nHe is an associate editor of the Computational Intelligence and Neuroscience Journal (Hindawi – Q2 JCR-ISI). He was vice dean from 2004 to 2010 in the Higher Technical School of Telecommunication Engineers at ULPGC and the vice dean of Graduate and Postgraduate Studies from March 2013 to November 2017. He won the “Catedra Telefonica” Awards in Modality of Knowledge Transfer, 2017, 2018, and 2019 editions, and awards in Modality of COVID Research in 2020.\n\nPublic References:\nResearcher ID http://www.researcherid.com/rid/N-5967-2014\nORCID https://orcid.org/0000-0002-4621-2768 \nScopus Author ID https://www.scopus.com/authid/detail.uri?authorId=6602376272\nScholar Google https://scholar.google.es/citations?user=G1ks9nIAAAAJ&hl=en \nResearchGate https://www.researchgate.net/profile/Carlos_Travieso",institutionString:null,institution:{name:"University of Las Palmas de Gran Canaria",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"23",title:"Computational Neuroscience",coverUrl:"https://cdn.intechopen.com/series_topics/covers/23.jpg",isOpenForSubmission:!0,editor:{id:"14004",title:"Dr.",name:"Magnus",middleName:null,surname:"Johnsson",slug:"magnus-johnsson",fullName:"Magnus Johnsson",profilePictureURL:"https://mts.intechopen.com/storage/users/14004/images/system/14004.png",biography:"Dr Magnus Johnsson is a cross-disciplinary scientist, lecturer, scientific editor and AI/machine learning consultant from Sweden. \n\nHe is currently at Malmö University in Sweden, but also held positions at Lund University in Sweden and at Moscow Engineering Physics Institute. \nHe holds editorial positions at several international scientific journals and has served as a scientific editor for books and special journal issues. \nHis research interests are wide and include, but are not limited to, autonomous systems, computer modeling, artificial neural networks, artificial intelligence, cognitive neuroscience, cognitive robotics, cognitive architectures, cognitive aids and the philosophy of mind. \n\nDr. Johnsson has experience from working in the industry and he has a keen interest in the application of neural networks and artificial intelligence to fields like industry, finance, and medicine. \n\nWeb page: www.magnusjohnsson.se",institutionString:null,institution:{name:"Malmö University",institutionURL:null,country:{name:"Sweden"}}},editorTwo:null,editorThree:null},{id:"24",title:"Computer Vision",coverUrl:"https://cdn.intechopen.com/series_topics/covers/24.jpg",isOpenForSubmission:!0,editor:{id:"294154",title:"Prof.",name:"George",middleName:null,surname:"Papakostas",slug:"george-papakostas",fullName:"George Papakostas",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002hYaGbQAK/Profile_Picture_1624519712088",biography:"George A. Papakostas has received a diploma in Electrical and Computer Engineering in 1999 and the M.Sc. and Ph.D. degrees in Electrical and Computer Engineering in 2002 and 2007, respectively, from the Democritus University of Thrace (DUTH), Greece. Dr. Papakostas serves as a Tenured Full Professor at the Department of Computer Science, International Hellenic University, Greece. Dr. Papakostas has 10 years of experience in large-scale systems design as a senior software engineer and technical manager, and 20 years of research experience in the field of Artificial Intelligence. Currently, he is the Head of the “Visual Computing” division of HUman-MAchines INteraction Laboratory (HUMAIN-Lab) and the Director of the MPhil program “Advanced Technologies in Informatics and Computers” hosted by the Department of Computer Science, International Hellenic University. He has (co)authored more than 150 publications in indexed journals, international conferences and book chapters, 1 book (in Greek), 3 edited books, and 5 journal special issues. His publications have more than 2100 citations with h-index 27 (GoogleScholar). His research interests include computer/machine vision, machine learning, pattern recognition, computational intelligence. \nDr. Papakostas served as a reviewer in numerous journals, as a program\ncommittee member in international conferences and he is a member of the IAENG, MIR Labs, EUCogIII, INSTICC and the Technical Chamber of Greece (TEE).",institutionString:null,institution:{name:"International Hellenic University",institutionURL:null,country:{name:"Greece"}}},editorTwo:null,editorThree:null},{id:"25",title:"Evolutionary Computation",coverUrl:"https://cdn.intechopen.com/series_topics/covers/25.jpg",isOpenForSubmission:!0,editor:{id:"136112",title:"Dr.",name:"Sebastian",middleName:null,surname:"Ventura Soto",slug:"sebastian-ventura-soto",fullName:"Sebastian Ventura Soto",profilePictureURL:"https://mts.intechopen.com/storage/users/136112/images/system/136112.png",biography:"Sebastian Ventura is a Spanish researcher, a full professor with the Department of Computer Science and Numerical Analysis, University of Córdoba. 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In the last five years, he has published more than 60 papers in international journals indexed in the JCR (around 70% of them belonging to first quartile journals) and he has edited some Springer books “Supervised Descriptive Pattern Mining” (2018), “Multiple Instance Learning - Foundations and Algorithms” (2016), and “Pattern Mining with Evolutionary Algorithms” (2016). He has also been involved in more than 20 research projects supported by the Spanish and Andalusian governments and the European Union. He currently belongs to the editorial board of PeerJ Computer Science, Information Fusion and Engineering Applications of Artificial Intelligence journals, being also associate editor of Applied Computational Intelligence and Soft Computing and IEEE Transactions on Cybernetics. Finally, he is editor-in-chief of Progress in Artificial Intelligence. He is a Senior Member of the IEEE Computer, the IEEE Computational Intelligence, and the IEEE Systems, Man, and Cybernetics Societies, and the Association of Computing Machinery (ACM). Finally, his main research interests include data science, computational intelligence, and their applications.",institutionString:null,institution:{name:"University of Córdoba",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"26",title:"Machine Learning and Data Mining",coverUrl:"https://cdn.intechopen.com/series_topics/covers/26.jpg",isOpenForSubmission:!0,editor:{id:"24555",title:"Dr.",name:"Marco Antonio",middleName:null,surname:"Aceves Fernandez",slug:"marco-antonio-aceves-fernandez",fullName:"Marco Antonio Aceves Fernandez",profilePictureURL:"https://mts.intechopen.com/storage/users/24555/images/system/24555.jpg",biography:"Dr. Marco Antonio Aceves Fernandez obtained his B.Sc. (Eng.) in Telematics from the Universidad de Colima, Mexico. 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He worked as a post-doctoral fellow at the Public Health Research Institute (PHRI), Newark, NJ for four years before accepting a three-year faculty position at Brigham Young University-Hawaii. Dr. Engohang-Ndong is a tenured faculty member with the academic rank of Full Professor at Kent State University, Ohio, where he teaches a wide range of biological science courses and pursues his research in medical and environmental microbiology. Recently, he expanded his research interest to epidemiology and biostatistics of chronic diseases in Gabon.",institutionString:"Kent State University",institution:{name:"Kent State University",country:{name:"United States of America"}}},{id:"188773",title:"Prof.",name:"Emmanuel",middleName:null,surname:"Drouet",slug:"emmanuel-drouet",fullName:"Emmanuel Drouet",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/188773/images/system/188773.png",biography:"Emmanuel Drouet, PharmD, is a Professor of Virology at the Faculty of Pharmacy, the University Grenoble-Alpes, France. As a head scientist at the Institute of Structural Biology in Grenoble, Dr. Drouet’s research investigates persisting viruses in humans (RNA and DNA viruses) and the balance with our host immune system. He focuses on these viruses’ effects on humans (both their impact on pathology and their symbiotic relationships in humans). He has an excellent track record in the herpesvirus field, and his group is engaged in clinical research in the field of Epstein-Barr virus diseases. He is the editor of the online Encyclopedia of Environment and he coordinates the Universal Health Coverage education program for the BioHealth Computing Schools of the European Institute of Science.",institutionString:null,institution:{name:"Grenoble Alpes University",country:{name:"France"}}},{id:"131400",title:"Prof.",name:"Alfonso J.",middleName:null,surname:"Rodriguez-Morales",slug:"alfonso-j.-rodriguez-morales",fullName:"Alfonso J. Rodriguez-Morales",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/131400/images/system/131400.png",biography:"Dr. Rodriguez-Morales is an expert in tropical and emerging diseases, particularly zoonotic and vector-borne diseases (especially arboviral diseases). He is the president of the Travel Medicine Committee of the Pan-American Infectious Diseases Association (API), as well as the president of the Colombian Association of Infectious Diseases (ACIN). He is a member of the Committee on Tropical Medicine, Zoonoses, and Travel Medicine of ACIN. He is a vice-president of the Latin American Society for Travel Medicine (SLAMVI) and a Member of the Council of the International Society for Infectious Diseases (ISID). Since 2014, he has been recognized as a Senior Researcher, at the Ministry of Science of Colombia. He is a professor at the Faculty of Medicine of the Fundacion Universitaria Autonoma de las Americas, in Pereira, Risaralda, Colombia. He is an External Professor, Master in Research on Tropical Medicine and International Health, Universitat de Barcelona, Spain. He is also a professor at the Master in Clinical Epidemiology and Biostatistics, Universidad Científica del Sur, Lima, Peru. In 2021 he has been awarded the “Raul Isturiz Award” Medal of the API. Also, in 2021, he was awarded with the “Jose Felix Patiño” Asclepius Staff Medal of the Colombian Medical College, due to his scientific contributions to COVID-19 during the pandemic. He is currently the Editor in Chief of the journal Travel Medicine and Infectious Diseases. His Scopus H index is 47 (Google Scholar H index, 68).",institutionString:"Institución Universitaria Visión de las Américas, Colombia",institution:null},{id:"332819",title:"Dr.",name:"Chukwudi Michael",middleName:"Michael",surname:"Egbuche",slug:"chukwudi-michael-egbuche",fullName:"Chukwudi Michael Egbuche",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/332819/images/14624_n.jpg",biography:"I an Dr. Chukwudi Michael Egbuche. I am a Senior Lecturer in the Department of Parasitology and Entomology, Nnamdi Azikiwe University, Awka.",institutionString:null,institution:{name:"Nnamdi Azikiwe University",country:{name:"Nigeria"}}},{id:"284232",title:"Mr.",name:"Nikunj",middleName:"U",surname:"Tandel",slug:"nikunj-tandel",fullName:"Nikunj Tandel",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/284232/images/8275_n.jpg",biography:'Mr. Nikunj Tandel has completed his Master\'s degree in Biotechnology from VIT University, India in the year of 2012. He is having 8 years of research experience especially in the field of malaria epidemiology, immunology, and nanoparticle-based drug delivery system against the infectious diseases, autoimmune disorders and cancer. He has worked for the NIH funded-International Center of Excellence in Malaria Research project "Center for the study of complex malaria in India (CSCMi)" in collaboration with New York University. The preliminary objectives of the study are to understand and develop the evidence-based tools and interventions for the control and prevention of malaria in different sites of the INDIA. Alongside, with the help of next-generation genomics study, the team has studied the antimalarial drug resistance in India. Further, he has extended his research in the development of Humanized mice for the study of liver-stage malaria and identification of molecular marker(s) for the Artemisinin resistance. At present, his research focuses on understanding the role of B cells in the activation of CD8+ T cells in malaria. Received the CSIR-SRF (Senior Research Fellow) award-2018, FIMSA (Federation of Immunological Societies of Asia-Oceania) Travel Bursary award to attend the IUIS-IIS-FIMSA Immunology course-2019',institutionString:"Nirma University",institution:{name:"Nirma University",country:{name:"India"}}},{id:"334383",title:"Ph.D.",name:"Simone",middleName:"Ulrich",surname:"Ulrich Picoli",slug:"simone-ulrich-picoli",fullName:"Simone Ulrich Picoli",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/334383/images/15919_n.jpg",biography:"Graduated in Pharmacy from Universidade Luterana do Brasil (1999), Master in Agricultural and Environmental Microbiology from Federal University of Rio Grande do Sul (2002), Specialization in Clinical Microbiology from Universidade de São Paulo, USP (2007) and PhD in Sciences in Gastroenterology and Hepatology (2012). She is currently an Adjunct Professor at Feevale University in Medicine and Biomedicine courses and a permanent professor of the Academic Master\\'s Degree in Virology. She has experience in the field of Microbiology, with an emphasis on Bacteriology, working mainly on the following topics: bacteriophages, bacterial resistance, clinical microbiology and food microbiology.",institutionString:null,institution:{name:"Universidade Feevale",country:{name:"Brazil"}}},{id:"229220",title:"Dr.",name:"Amjad",middleName:"Islam",surname:"Aqib",slug:"amjad-aqib",fullName:"Amjad Aqib",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/229220/images/system/229220.png",biography:"Dr. Amjad Islam Aqib obtained a DVM and MSc (Hons) from University of Agriculture Faisalabad (UAF), Pakistan, and a PhD from the University of Veterinary and Animal Sciences Lahore, Pakistan. Dr. Aqib joined the Department of Clinical Medicine and Surgery at UAF for one year as an assistant professor where he developed a research laboratory designated for pathogenic bacteria. Since 2018, he has been Assistant Professor/Officer in-charge, Department of Medicine, Manager Research Operations and Development-ORIC, and President One Health Club at Cholistan University of Veterinary and Animal Sciences, Bahawalpur, Pakistan. He has nearly 100 publications to his credit. His research interests include epidemiological patterns and molecular analysis of antimicrobial resistance and modulation and vaccine development against animal pathogens of public health concern.",institutionString:"Cholistan University of Veterinary and Animal Sciences",institution:null},{id:"62900",title:"Prof.",name:"Fethi",middleName:null,surname:"Derbel",slug:"fethi-derbel",fullName:"Fethi Derbel",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/62900/images/system/62900.jpeg",biography:"Professor Fethi Derbel was born in 1960 in Tunisia. He received his medical degree from the Sousse Faculty of Medicine at Sousse, University of Sousse, Tunisia. He completed his surgical residency in General Surgery at the University Hospital Farhat Hached of Sousse and was a member of the Unit of Liver Transplantation in the University of Rennes, France. He then worked in the Department of Surgery at the Sahloul University Hospital in Sousse. Professor Derbel is presently working at the Clinique les Oliviers, Sousse, Tunisia. His hospital activities are mostly concerned with laparoscopic, colorectal, pancreatic, hepatobiliary, and gastric surgery. He is also very interested in hernia surgery and performs ventral hernia repairs and inguinal hernia repairs. He has been a member of the GREPA and Tunisian Hernia Society (THS). During his residency, he managed patients suffering from diabetic foot, and he was very interested in this pathology. For this reason, he decided to coordinate a book project dealing with the diabetic foot. Professor Derbel has published many articles in journals and collaborates intensively with IntechOpen Access Publisher as an editor.",institutionString:"Clinique les Oliviers",institution:null},{id:"300144",title:"Dr.",name:"Meriem",middleName:null,surname:"Braiki",slug:"meriem-braiki",fullName:"Meriem Braiki",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/300144/images/system/300144.jpg",biography:"Dr. Meriem Braiki is a specialist in pediatric surgeon from Tunisia. She was born in 1985. She received her medical degree from the University of Medicine at Sousse, Tunisia. She achieved her surgical residency training periods in Pediatric Surgery departments at University Hospitals in Monastir, Tunis and France.\r\nShe is currently working at the Pediatric surgery department, Sidi Bouzid Hospital, Tunisia. Her hospital activities are mostly concerned with laparoscopic, parietal, urological and digestive surgery. She has published several articles in diffrent journals.",institutionString:"Sidi Bouzid Regional Hospital",institution:null},{id:"229481",title:"Dr.",name:"Erika M.",middleName:"Martins",surname:"de Carvalho",slug:"erika-m.-de-carvalho",fullName:"Erika M. de Carvalho",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/229481/images/6397_n.jpg",biography:null,institutionString:null,institution:{name:"Oswaldo Cruz Foundation",country:{name:"Brazil"}}},{id:"186537",title:"Prof.",name:"Tonay",middleName:null,surname:"Inceboz",slug:"tonay-inceboz",fullName:"Tonay Inceboz",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/186537/images/system/186537.jfif",biography:"I was graduated from Ege University of Medical Faculty (Turkey) in 1988 and completed his Med. PhD degree in Medical Parasitology at the same university. I became an Associate Professor in 2008 and Professor in 2014. I am currently working as a Professor at the Department of Medical Parasitology at Dokuz Eylul University, Izmir, Turkey.\n\nI have given many lectures, presentations in different academic meetings. I have more than 60 articles in peer-reviewed journals, 18 book chapters, 1 book editorship.\n\nMy research interests are Echinococcus granulosus, Echinococcus multilocularis (diagnosis, life cycle, in vitro and in vivo cultivation), and Trichomonas vaginalis (diagnosis, PCR, and in vitro cultivation).",institutionString:"Dokuz Eylül University",institution:{name:"Dokuz Eylül University",country:{name:"Turkey"}}},{id:"71812",title:"Prof.",name:"Hanem Fathy",middleName:"Fathy",surname:"Khater",slug:"hanem-fathy-khater",fullName:"Hanem Fathy Khater",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/71812/images/1167_n.jpg",biography:"Prof. Khater is a Professor of Parasitology at Benha University, Egypt. She studied for her doctoral degree, at the Department of Entomology, College of Agriculture, Food and Natural Resources, University of Missouri, Columbia, USA. She has completed her Ph.D. degrees in Parasitology in Egypt, from where she got the award for “the best scientific Ph.D. dissertation”. She worked at the School of Biological Sciences, Bristol, England, the UK in controlling insects of medical and veterinary importance as a grant from Newton Mosharafa, the British Council. Her research is focused on searching of pesticides against mosquitoes, house flies, lice, green bottle fly, camel nasal botfly, soft and hard ticks, mites, and the diamondback moth as well as control of several parasites using safe and natural materials to avoid drug resistances and environmental contamination.",institutionString:null,institution:{name:"Banha University",country:{name:"Egypt"}}},{id:"99780",title:"Prof.",name:"Omolade",middleName:"Olayinka",surname:"Okwa",slug:"omolade-okwa",fullName:"Omolade Okwa",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/99780/images/system/99780.jpg",biography:"Omolade Olayinka Okwa is presently a Professor of Parasitology at Lagos State University, Nigeria. She has a PhD in Parasitology (1997), an MSc in Cellular Parasitology (1992), and a BSc (Hons) Zoology (1990) all from the University of Ibadan, Nigeria. She teaches parasitology at the undergraduate and postgraduate levels. She was a recipient of a Commonwealth fellowship supported by British Council tenable at the Centre for Entomology and Parasitology (CAEP), Keele University, United Kingdom between 2004 and 2005. She was awarded an Honorary Visiting Research Fellow at the same university from 2005 to 2007. \nShe has been an external examiner to the Department of Veterinary Microbiology and Parasitology, University of Ibadan, MSc programme between 2010 and 2012. She is a member of the Nigerian Society of Experimental Biology (NISEB), Parasitology and Public Health Society of Nigeria (PPSN), Science Association of Nigeria (SAN), Zoological Society of Nigeria (ZSN), and is Vice Chairperson of the Organisation of Women in Science (OWSG), LASU chapter. She served as Head of Department of Zoology and Environmental Biology, Lagos State University from 2007 to 2010 and 2014 to 2016. 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\r\n\tSustainable development focuses on linking economic development with environmental protection and social development to ensure future prosperity for people and the planet. To tackle global challenges of development and environment, the United Nations General Assembly in 2015 adopted the 17 Sustainable Development Goals. SDGs emphasize that environmental sustainability should be strongly linked to socio-economic development, which should be decoupled from escalating resource use and environmental degradation for the purpose of reducing environmental stress, enhancing human welfare, and improving regional equity. Moreover, sustainable development seeks a balance between human development and decrease in ecological/environmental marginal benefits. Under the increasing stress of climate change, many environmental problems have emerged causing severe impacts at both global and local scales, driving ecosystem service reduction and biodiversity loss. Humanity’s relationship with resource exploitation and environment protection is a major global concern, as new threats to human and environmental security emerge in the Anthropocene. Currently, the world is facing significant challenges in environmental sustainability to protect global environments and to restore degraded ecosystems, while maintaining human development with regional equality. Thus, environmental sustainability with healthy natural ecosystems is critical to maintaining human prosperity in our warming planet.
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After that, he was a postdoc research fellow at the University of British Columbia in Canada to do research on large-scale stream experimental manipulation and watershed ecological survey in temperate rainforests of BC. He was a faculty member at the University of Hong Kong to run ecological research projects on aquatic insects, fishes, and newts in Tropical Asian streams. He also conducted research in streams, rivers, and caves in Texas, USA, to study the ecology of macroinvertebrates, big-claw river shrimp, fish, turtles, and bats. 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Biochemistry examines macromolecules - proteins, nucleic acids, carbohydrates, and lipids – and their building blocks, structures, functions, and interactions. Much of biochemistry is devoted to enzymes, proteins that catalyze chemical reactions, enzyme structures, mechanisms of action and their roles within cells. Biochemistry also studies small signaling molecules, coenzymes, inhibitors, vitamins, and hormones, which play roles in life processes. Biochemical experimentation, besides coopting classical chemistry methods, e.g., chromatography, adopted new techniques, e.g., X-ray diffraction, electron microscopy, NMR, radioisotopes, and developed sophisticated microbial genetic tools, e.g., auxotroph mutants and their revertants, fermentation, etc. More recently, biochemistry embraced the ‘big data’ omics systems. Initial biochemical studies have been exclusively analytic: dissecting, purifying, and examining individual components of a biological system; in the apt words of Efraim Racker (1913 –1991), “Don’t waste clean thinking on dirty enzymes.” Today, however, biochemistry is becoming more agglomerative and comprehensive, setting out to integrate and describe entirely particular biological systems. The ‘big data’ metabolomics can define the complement of small molecules, e.g., in a soil or biofilm sample; proteomics can distinguish all the comprising proteins, e.g., serum; metagenomics can identify all the genes in a complex environment, e.g., the bovine rumen. 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Dr. Blumenberg’s research is focused on the epidermis, expression of keratin genes, transcription profiling, keratinocyte differentiation, inflammatory diseases and cancers, and most recently the effects of the microbiome on the skin. 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Behind these definitions are hidden all the aspects of normal and pathological functioning of all processes that the topic ‘Metabolism’ will cover within the Biochemistry Series. 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Thus proteomics, an area of research that detects all protein forms expressed in an organism, including splice isoforms and post-translational modifications, is more suitable than genomics for a comprehensive understanding of the biochemical processes that govern life. The most common proteomics applications are currently in the clinical field for the identification, in a variety of biological matrices, of biomarkers for diagnosis and therapeutic intervention of disorders. From the comparison of proteomic profiles of control and disease or different physiological states, which may emerge, changes in protein expression can provide new insights into the roles played by some proteins in human pathologies. Understanding how proteins function and interact with each other is another goal of proteomics that makes this approach even more intriguing. Specialized technology and expertise are required to assess the proteome of any biological sample. Currently, proteomics relies mainly on mass spectrometry (MS) combined with electrophoretic (1 or 2-DE-MS) and/or chromatographic techniques (LC-MS/MS). MS is an excellent tool that has gained popularity in proteomics because of its ability to gather a complex body of information such as cataloging protein expression, identifying protein modification sites, and defining protein interactions. 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