IR isoform mRNA expression in humans and animal models expressed as percentage of IR-A and IR-B.
\r\n\tThis book will intend to look at different migrant patterns, voluntary and involuntary migration, over the last three centuries. What influenced people to leave their home countries, family, and friends and settle somewhere else? The book may include histories of the 19th century, consider tragedies and movements activated by political events in the 20th century, and/or look at recent events of the 21st century. Push and pull factors are important points. While most of us may be influenced in a negative way by the current happenings in Eastern Europe, the Russian invasion and resulting tragedies also demonstrate some very positive human traits – the preparedness of Ukraine’s surrounding countries to help those in need and to provide a safe place for the present.
\r\n\tWhether one looks at voluntary or involuntary migration into any country, after a period of adjustment, migrants do play a positive role. The research found that migrants contribute to the economy (food, shelter, employment, tax) and enrich a country’s cultural norms. Prerequisites for successful settlements are that the host society adopts a tolerant approach and that the migrants recognize the law and the language of the host country. Nothing is ever easy or without controversy, but I am a migrant (German Australian), and life in Australia has been relatively harmonious. Issues that could be considered in the book are multicultural societies (do monocultural societies still exist?) and theories of acculturation versus integration (settlement processes).
\r\n\tTwo further issues are very important in relation to human migration. There is climate change, global warming, and the environment, which clearly affect people’s movement. Small island populations are very concerned about rising sea levels. 2021 has also seen floods costing human lives: Turkey (August 2021), Brazil (December 2021), Chile (January 2021), and South India (November 2021), to name but a few. In Australia (March 2022), farms and whole townships in New South Wales and Queensland have been flooded for the second time in five years, and plans to resettle these towns are considered. Official and social media provide ample coverage of the events, which leads me to the next issue. There is today’s very important role of the media, of the official and social media. We are constantly bombarded with images of human war tragedies and flood victims. People in industrialized, western countries must be the best-informed populace. How far do the images and up-to-date TV news influence us, make us change our behavior, and perhaps even consider us more generous than we have been?
\r\n\tClimate change and the media are relatively new to the human migration debate, but both issues play important parts, and some interesting discussions are appreciated.
\r\n\t
Lubricant formulations used to control friction and wear in metallic forming processes typically contain mixtures of molecular additives in the base oil. Common lubricant additives in the metal-rolling processes consist of one or more aliphatic alcohols, acids or esters such as vinyl-phosphonic acid, acetic acid, butanoic acid and butanol alcohol etc. which have hydroxyl (OH) or carboxyl (O═C─OH) functional group [named oxygen-rich base (O-base)] to behave like a cationic anchor with electron-rich charges [1, 2, 3]. Initially, these molecules are thought to anchor onto metal (e.g., hydroxide-alumina) surfaces through their O-bases. And then, such O-bases are believed to decompose on fresh (pure aluminum) surfaces occurring in the actual rolling work. As a result, these adsorbed and decomposed molecular pieces will contribute to the boundary thin-film lubrication and protection, i.e., their residual fragments (e.g., molecular chain tails) adhered on fresh surfaces with several molecular layers thick may serve as corrosion inhibitors of surface.
\nFor adsorbate examples, Figure 1 shows an illustration of two molecular structures: a vinyl-phosphonic acid [VPA, H3C2P(O)(OH)2] with a tri-podal O-base [2(OH)─P═O] plus a vinyl-hydrocarbon tail [4] as shown in Figure 1(a), and an acetic acid [EA, H3C2(O)(OH)] with an alkyl-chain plus a bi-podal O-base [O═C─OH] as shown in Figure 1(b).
\nTwo acid molecules: (a) a VPA molecule; (b) an EA molecule.
In Figure 1(a), a study of the inelastic tunneling spectroscopy (IETS) for a VPA adsorption on a hydroxide-Al2O3 (0001) surface implied that the vinyl-tail on VPA did not participate in bonding to the oxide surface [5], but left itself accessible to react with other general lubricant molecules, which may serve as a molecular cap on the surface to inhibit migrations of corrosive species into the oxide surface. This reaction usually resulted in a tri-dentate coordination for the VPA on surface through a tri-podal O-base even if such a tri-dentate coordination was not unique on surface [6]. Crowell et al. utilized the electron energy loss spectroscopy (EELS) to observe an EA adsorption on an Al (111) surface starting at a very low temperature of 120 K [7]. They observed that a symmetrically bi-bridged geometry of main piece decomposed from the EA was more likely to bond to the surface than other configurations. In brief, both of above studies found that O-bases on acid molecules may usually bond to aluminum/alumina surfaces and oxidize them prior to other twigs, and then had molecular residual fragments (molecular chain tails) form thin-film inhibitors on the surfaces.
\nIn addition, Underhill and Timsit [8] applied the X-ray photoelectron spectroscopy (XPS) to the study of dynamic decomposition pathways for 1-butanol and propanoic acid through molecular collisions with a clean Al (111) surface. At room temperature (e.g., 300 K), their results suggested that acid molecules break up on the surface, leading to attachments of aliphatic chains via their O-bases on surface. Alternatively, aliphatic alcohols were found to react with Al ions in the surface via their O-bases alone. At elevated temperatures (about 400 K), both acid and alcohol were found to dissociate on the clean surface, leading to attachments of aliphatic chains via their end C ions and pieces of decomposed O-base on surface, to form molecular boundary thin-films of surface. However, such the dynamic decomposition has received minimal attention in the literature.
\nIn Figure 2, two lubricant additives, butanol alcohol [H3C─(CH2)2─H2C─(OH)] and butanoic acid [H3C─(CH2)2─C(O)(OH)], are shown schematically: the alcohol in Figure 2(a) has a C─OH functional group; while the acid in Figure 2(b) has an O═C─OH functional group which is very similar to the EA as shown in Figure 1(b).
\nSchematics of (a) a butanol molecule; (b) a butanoic molecule.
In this chapter, we carry out series of density functional (DFT) analyses on how two commonly used boundary-layer lubricant additives, VPA and EA, bond statically to a clean (pure) Al (111) surface in their optimal geometries. During the actual rolling (forming) processes to hydroxide-alumina surfaces, since top textures (layers) of the surfaces are usually peeled off so that fresh (pure) aluminum surfaces (below top layers) with nascent islands can be subsequently exposed in the air, without loss of generality, such the DFT static outputs may help powerfully determine the favorably bonding mechanisms of additives to the highly reactive islands on fresh surfaces, so as to make clear the formation of protective thin-film on alumina surfaces. Then next, we examine dynamic decomposition pathways on the clean Al (111) surface using ab-initio molecular dynamics (AIMD) for two other important aliphatic boundary-layer lubricant additives: butanol alcohol and butanoic acid, to determine their thermal mechanisms of monolayer formation on the surface. During the AIMD simulation, each molecule is orientated to collide with the clean surface through its reactive O-base. Initial approaching speeds of molecules toward the surface are taken from the actual Al-rolling process. Decomposition pieces of additive molecules on the Al (111) surface are explored in details throughout the whole simulation. Simulation outputs are qualitatively compared with experimental observations using the EELS and the XPS for similar molecules [7, 8], which may reveal some unknown decomposed configurations in a previous DFT static study [9].
\nFigure 3 shows a side view of a VPA structure, along with isosurfaces of charge density with the electron (e−) localization function (ELF) representing the probability of finding a second e− with the same spin in the neighboring region of the first (reference) e− within [0, 1]. In other words, a high ELF value means a highly localized behavior for the first (reference) e− [10, 11, 12, 13]. According to this definition, high ELF values are typically associated with covalent bonds, e− lone pairs, or inert cores [14]. In Figure 3(b), ELF = 0.81 is the best visual difference of isosurfaces for each of atomic bonds according to comments in ref. [15]. The VASP (Vienna Ab-initio Simulation Package) calculations for the VPA indicated that two e− lone pairs aggregated to O2 (and O3) nearby (a circle-lunar lobe) because of its
Side view of a VPA structure: (a) a vinyl-group and a tri-podal based P─O bonds on the VPA; (b) isosurfaces of charge density at the ELF = 0.81 for the VPA.
Figure 4 shows a side view of an EA structure, along with isosurfaces of charge density at the ELF = 0.67 to provide the best visual difference for each of atomic bonds. VASP analyses for the EA indicated that two e− lone pairs aggregated to O2 nearby (a hemisphere lobe) because of its
Side view of an EA structure: (a) a methyl group and a bi-podal-based C─O bonds on the EA; (b) isosurfaces of charge density at the ELF = 0.67 for the EA.
Charge density of states (DOS) for O ions on (a) the VPA and (b) the EA.
Figure 5 shows distributions of charge density of states (DOS) for three O ions on the VPA and two O ions on the EA, respectively. In Figure 5, the
Since Al (111) surface has the lowest surface energy among all surface geometries in aluminum bulk, it is likely to expose in the air during the actual rolling process. So here it is selected as an adsorption slab surface (adsorbent) to react with above adsorbates. Figure 6 shows three distinguishable adsorption sites in the top layer of Al (111) surface slab. We refer to them as site-1, -2, and -3, respectively. Among these sites, site-1 (S-1) had corners at three Al ions; site-2 (S-2) had corners at three cave points (cross signs); and site-3 (S-3) had corners at three saddle points (ice-star signs). According to past experiences [14], these three sites were more likely to react with adsorbates than others because they allowed O-bases on adsorbates to bond to surface stronger than other ones.
\nThree most favorable adsorption sites in top layer of Al (111) surface slab.
These calculations were based upon the DFT [16, 17, 18] using the Vienna Ab-initio Simulation Package (VASP). At first, all calculations were performed using the Projector-Augmented Wave (PAW) pseudopotentials [19]. The GGA created by Perdew and co-workers [20, 21] was employed for evaluating the exchange-correlation energy. This methodology was similar to a previous study of optimizing the VPA adsorption geometries on an α-Al2O3 (0001) surface [15]. Prior to these calculations, lattice constant, bulk modulus and cohesive energy for a pure aluminum bulk by fitting data of energy versus volume to the Murnaghan Eq. [22] was calculated. A regular Monkhorst-Pack grid [23] of 17 × 17 × 17 was chosen as the best
Then next, calculations of acid adsorptions on the Al (111) surface slab were conducted in a supercell with a periodic four-layer 3
In this study, all ab-initio molecular dynamics (AIMD) simulations were also based upon the DFT as implemented in the VASP. A Vanderbilt-type ultrasoft pseudopotentials (USP) were utilized for elemental constituents by means of the GGA [24]. In real practice, the GGA usually yielded inaccurate reaction barriers [25, 26, 27], while a semilocal-BLYP and hybrid-B3LYP functionals seemed to predict adsorption energies accurately and distinguish adsorption sites correctly. However, for the study of dynamic decomposition, we believed that the GGA was also a reasonable compromise since a highly colliding velocity acting on molecules toward the Al surface slab would likely overwhelm any barrier to the decomposition.
\nDuring the AIMD simulation, first of all, lattice constant (
Besides, for modeling interactions between additive molecules and an Al (111) slab, a Monkhorst-Pack grid of 5 × 5 × 1 was selected for the best
In addition, each of isolated molecules was optimized in a same vacuum supercell as used for the Al (111) slab. And then, it was equilibrated at 300 K for about 1500 time steps by re-scaling thermal velocities at each time step [29], the time step = 0.001 ps. Simultaneously, the Al (111) slab were equilibrated in its supercell by the same technique as each isolated molecule. Then next, each isolated molecule was transferred into the simulation supercell containing the Al (111) slab, respectively.
\nAfter thermal equilibration, all AIMD simulations for interactions between additive molecules and the Al (111) slab were carried out through a constant energy method (NVE) without controlling temperature of system [29]. In real processing works, when steel rollers converged to form bite regions in the metal rolling of Al alloys, pressure gradients in bite regions would draw lubricant additives into conjunction. At this time, translational speeds acting on a single molecule can be estimated to reach as high as 2500 m/s due to kinematics at the tool/Al interface [30]. Hence, a serial approaching velocities,
To better understand adsorption mechanisms of VPA and EA on Al (111) surface, several combined adsorbate/slab systems were selected for the investigation. The adsorption enthalpy (the binding energy or the binding strength), \n
where the superscript (m) indicated one reaction type. A negative \n
Preliminary investigation of the VPA adsorption on Al (111) surface indicated that, its standing geometries at S-2 and S-3 always shifted to S-1 on the surface when using the energy minimization. Similar results can be obtained for the EA adsorption at S-2 and S-3 on Al (111) surface. Therefore, S-1 was regarded as the most favorable adsorption site for these adsorbates. According to this, we would only focus on the S-1 for the VPA and the EA adsorptions on Al (111) surface.
\nFigure 7 shows side views of VPA and EA adsorptions on Al(111) surface in their own uni-dentate coordination with one of their oxygen ions and one H ion (dissociated from this oxygen ion) bonding onto the surface, respectively. Molecular binding sites on the surface were both at S-1.
\nSide views of (a) VPA and (b) EA adsorptions on Al (111) surface in uni-dentate coordination.
In Figure 7, Al─H and Al─O single bonds were formed on Al (111) surface to sustain the adsorbates. Adsorption enthalpies corresponding to Figure 7(a), (b), \n
Isosurfaces of charge density at the ELF = 0.67 for (a) VPA and for (b) EA adsorptions on Al (111) surface in their own uni-dentate coordination.
Figure 8 shows isosurfaces of charge density for vinyl-phosphonate and acetate on Al (111) surface in their own uni-dentate coordination, respectively. A value of the ELF = 0.67 was chosen because it may provide the best visual difference in charge density on C─O and P─O bonds. In Figure 8(b), a small lobe can be observed on C2─O2 bond, while P─O3 bond in Figure 8(a) had no such a character. This meant that O2 ion on C2─O2 bond was more covalent, while O3 ion on P─O3 bond was more ionic. This was expected because P was less electronegative than C (2.1 vs. 2.5), see ref. [32]. Therefore, during these two adsorptions, portions of charge density for O3 on vinyl-phosphonate in Figure 8(a) would move more toward the reacting Al ion in surface than that for O2 on acetate in Figure 8(b). Qualitatively, this may occur reasonably because more unoccupied e− states for O3 than those for O2 seemed to make the final binding state of VPA stabler than that of EA on the surface.
\nQuantitatively, Figure 9(a) shows the modified charge density of states (DOS) for O3 on vinyl-phosphonate as shown in Figure 8(a), corresponding to e− states (around the
The modified DOS for (a) O3 ion on vinyl-phosphonate and (b) O2 ion on acetate.
In the following subsections, similar trends of the DOS curves in Figure 9 can also be observed for O ions on molecular main piece reacting with Al (111) surface in bi-bridged (VPA and EA) and tri-bridged (VPA) coordinations. According to these results, we believed that the VPA should bind stronger than the equivalent EA on Al (111) surface because of its larger number of unoccupied e− states available for bonding to the surface.
\nFigure 10 shows side views of vinyl-phosphonate and acetate adsorptions on Al (111) surface in their own bi-bridged coordination, respectively, with H ions liberating from molecular main piece and bonding to the surface. In these two adsorptions, adsorption enthalpies corresponding to Figure 10(a), (b), \n
Side views of (a) vinyl-phosphonate and (b) acetate adsorptions on Al (111) surface in bi-bridged coordination, respectively.
Figure 11 shows a side view of VPA adsorption on Al (111) surface in tri-bridged coordination. In Figure 11, 2 H ions liberated from the VPA main piece through the condensing reaction and were adsorbed on the surface. Adsorption enthalpy corresponding to Figure 11, \n
A side view of vinyl-phosphonate adsorption on Al (111) surface in tri-bridged coordination.
When rotating initial configurations of adsorbates by some clockwise angels (e.g., 120° or 180° etc) toward Al (111) surface rather than their functional groups facing the surface, i.e., with the CH3 end directly pointing toward the surface, the binding energies of adsorbates on the surface would indicate positive values, meaning that such kinds of reacting geometries were unfavorable in the adsorption.
\nIn summary, if ignoring entropy contributions, for the VPA, the best favorable adsorption geometries on Al (111) surface were in the order: tri-bridged coordination > bi-bridged coordination > uni-dentate coordination. While for the EA, the best adsorption geometries on Al (111) surface were in the order: bi-bridged coordination > uni-dentate coordination.
\nIn addition, comparing these two adsorption types, in each of above adsorption geometries, the binding state of VPA on Al (111) surface was always stronger than that of equivalent EA on the surface. The main reason could be due to a more highly reactive 2(O)─P═O functional group with the surface than an O─C═O functional one. H ions liberating from molecular main pieces and adsorbing onto the surface, also influenced all of the binding states in above. However, the formation of gaseous H2 molecules by means of H ions desorbed from the surface was more favorable in adsorption ends.
\nIn this section, dynamic decomposition pathways for two selected aliphatic boundary-layer lubricant additives: butanoic acid and butanol alcohol on Al (111) surface, are discussed using ab-initio molecular dynamics.
\nCorresponding to Figure 2, Figure 12 shows isosurfaces of charge density at the ELF = 0.93 for these two molecules. In Figure 12(a), O2 had two e− lone pairs (a circular-lunar lobe) because of its
Side views of isosurfaces of charge density at the ELF = 0.67 for (a) butanoic acid and for (b) butanol alcohol.
Figure 13 shows initial geometries of butanoic acid and butanol alcohol interactions with Al (111) surface slab in four models. In each model, an additive molecule was positioned with its carbon backbone directly above the center of the equilibrated Al (111) surface, molecular orientations along [111] direction were shown in Figure 13(a)–(d), respectively. In Figure 13, the first three models were for butanoic acid reactions with Al (111) slab surface: In model-1 (M−1),
Four initial geometries of butanoic acid and butanol alcohol interactions with Al (111) slab: (a) M−1; (b) M−2; (c) M−3; (d) M−4.
Figure 14 shows decomposition pathways for M−1, M−2 and M−3 models starting at 300 K. In Figure 14(a) for the M−1, at 50 simulation time steps, the O ion in O═C group on butanoic acid molecule began anchoring to the surface in a bi-dentate coordination. However, the OH group did not appear to interact with the surface at this time. At 90 time steps, the O ion in O═C group had dissociated from molecular main piece and was adsorbed onto the surface, with the residual molecular main piece anchoring to the surface through its alkyl-chain. At 200 time steps, the OH group had dissociated from molecular main piece and began interacting with the surface through its O ion. At 310 time steps, the OH group fully dissociated and was adsorbed onto the surface in a uni-dentate coordination. The residual alkyl-chain finally anchored to the surface in a tetra-coordination via its carboxyl C ion, with the O ion (dissociated from the O═C group) adsorbing on the surface in tri-dentate coordination. Note that the temperature of this system increased from 300 to 970 K throughout the whole simulation.
\nThree models of decomposition pathways starting at 300 K: (a) M−1; (b) M−2 and (c) M−3.
In Figure 14(b) for the M−2, at 40 time steps, the OH group interacted with Al (111) surface, resulting in dissociation of one H ion from molecular main piece. Main piece of butanoic acid interacted with the surface in a bi-bridged coordination through its O ions. At 130 time steps, this main piece remained anchoring to the surface. However at 200 time steps, this coordination was becoming uni-dentate as the main piece rebounded the surface under its consistent collisions, and with an Al ion pulled upward by one of O ions in it. At 310 time steps, the fragment in a bi-dentate configuration resembled a soap, i.e., a product of “R─COOM (here “R─ “represented the alkyl-chain and “M” was a metal ion in the surface)” was formed in simulation [33]. Soap formation with fatty acids had been observed in the Al forming process where nominal pressures were in the vicinity of 2.5 times the material flow strength [3, 34]. The temperature of this system increased from 300 to 960 K throughout the whole simulation.
\nIn Figure 14(c) for the M−3, at 60 time steps, the O ion in O═C group had dissociated and was subsequently adsorbed in a tri-dentate configuration on Al (111) surface. The same was true for the OH group. The residual alkyl-chain formed bi-dentate and tri-dentate configurations in the order at 100, 150, and 310 time steps throughout the whole simulation. One H ion dissociated from the adsorbed OH group and migrated about the surface. The temperature of this system increased from 300 to 1330 K throughout the whole simulation.
\nFigure 15 shows the initial evolution of potential energy computed for each of three models in Figure 14. In each case, butanoic acid molecule usually began interacting with the surface within 30–50 time steps. The potential energy of each system increased during this time interval so as to overcome the barrier to the adsorption. This energy then decreased as the surface defused molecular consistent impacts and decomposition. Beyond the dip point, the energy increased once again as molecular fragment and its decomposed components in functional group re-arranged themselves on the surface. The sharp peaks on M−1 and M−3 curves indicated larger and more rapid exchanges between potential and kinetic energies than were observed in M−2 during the decomposition.
\nPotential energies of M−1, M−2 and M−3 vs. time steps for butanoic acid decomposition on Al (111) surface.
Figure 16 shows potential energies of three models during the first 350 time steps of thermal annealing after their distributions of 500 time steps as shown in Figure 15. In Figure 15, over this 350 time steps, each curve decreased and ultimately approached an asymptotic value after about 250 time steps. After 350 time steps, the potential energy of M−3 was slightly lower than M−1, but M−2 still had the highest energy level. In addition, our DFT energy minimization found that M−3 was the most stable configuration followed by M−1 and M−2.
\nAn effect of further annealing at 500 K on potential energies of M−1, M−2 and M−3 for butanoic acid decomposition on Al (111) surface.
Figure 17 shows dynamic decomposition pathways for butanol alcohol on Al (111) surface, M–4, starting at 300 K. In Figure 17, at 40 time steps, 1 H ion dissociated from the OH group and interacted with an Al ion in the surface. At 100 time steps, molecular fragment was adsorbed on the surface plus a lone H ion moved below the surface. At 250 time steps, molecular fragment evolved its adsorption geometry to a bi-dentate configuration. At 400 time steps, molecular fragment showed up a uni-dentate configuration. Interestingly, during this decomposition, neither bi-dentate nor tri-dentate configuration depicted in above decomposed pieces of butanoic acid were observed in butanol alcohol configurations. Additional AIMD simulations for a butanol alcohol molecule slightly rotated relative to the Al (111) slab also confirmed this observation, see discussions in Section 4.2.3. According to this, we concluded that the decomposition pathway for butanol alcohol just occurred to oxidize the surface by means of its dissociated OH group to form an alcoholate on the surface if other additives were not involved in this reaction.
\nDynamic decomposition pathways for M–4 starting at 300 K.
Figure 18 shows the distribution of potential energy for M–4 starting at 300 K. Here a sharp peak around 40 time steps represented the dissociation of an H ion from molecular main piece. The dip in the curve near 220 time steps was due to the re-arrangement of the decomposed pieces on the surface.
\nDistribution of potential energy vs. time steps for M–4 starting at 300 K.
Other several AIMD simulations were carried out on decomposition pathways with above additive molecules rotating their initial configurations by 180° clockwise (group-1) and 90° counterclockwise (group-2) toward Al (111) surface rather than their functional groups facing the surface, respectively. For group-1 with the CH3 end pointing toward the surface, it initially bounced off the surface without decomposing, but intermediately rotated its functional groups toward the surface when it bounced back the surface. And then, it carried on decomposition pathways discussed in above Sections. For group-2 with the carbon backbones aligning with the surface, it initially bounced off the surface without decomposing, but immediately rotated its functional groups toward the surface when it bounced back the surface. And then it carried on decomposition pathways discussed in above Sections.
\nComprehensively, the final thermal equilibration at 500 K for the decomposed species of butanoic acid and butanol alcohol on Al (111) surface indicated that (1) for butanol alcohol decomposed pieces in M-4: a butanol alcoholate was adsorbed on the surface in a uni-dentate coordination with the dissociated H ion adsorbed onto the surface; (2) for butanoic acid decomposed pieces in M−1, M−2 and M−3: residual alkyl-chains usually anchored to the surface in tri-dentate coordination via their carboxyl C ions, with the OH group and dissociated H and O ions interacting with the surface, which were consistent with experimental observations using the X-ray photoelectron spectroscopy (XPS) at temperatures from 300 to 750 K [8].
\nSimulations of ab-initio molecular dynamics starting at room temperature (300 K) for the decomposed intermediates of aliphatic butanoic acid and butanol alcohol on clean Al (111) surface, indicated that, (1) Initial decomposition pieces of these additive molecules involved attachments of residual alkyl-chains to Al ions in the surface via their oxygen ions; (2) In further decomposition reactions, the remaining alkyl-chains would anchor to the surface via its end C ion, with the complete liberation of oxygen ions or OH group from the carboxyl (O═C─OH) group to oxidize the surface; (3) The remaining alkyl-chains did not participated in reactions with the surface, but may serve as molecular caps to inhibit migrations of corrosive species into the oxide surface, and let these chains accessible react with other general lubricants in base oil, which may form effective boundary thin-films on the surface.
\nIn this chapter, an ab-initio modeling of lubricant reactions with a metal Al (111) surface are comprehensively discussed using density functional theory (DFT) and ab-initio molecular dynamics (AIMD) based upon the DFT, to illuminate some reasonable reaction outputs in this lubrication field. Some main points from discussions may include, without any loss of generality:
If ignoring entropy contributions, for the VPA, the best favorable reaction geometries on Al (111) surface were in the order: tri-bridged coordination > bi-bridged coordination > uni-dentate coordination. While for the EA, the best reaction geometries on Al (111) surface were in the order: bi-bridged coordination > uni-dentate coordination.
Comparing these two adsorption types, in each of above adsorption geometries, the binding state of VPA on Al (111) surface was always stronger than that for equivalent EA on the surface. The main reason could be due to a more highly reactive functional group of 2(O)─P═O with the surface than that of O─C═O. H ions liberating from molecular main pieces and adsorbing on the surface, also influenced all the binding states in above. However, the formation of gaseous H2 molecules by means of H ions desorbed from the surface was more favorable in adsorption ends.
Simulations of ab-initio molecular dynamics starting at room temperature (300 K) for the decomposed intermediates of aliphatic butanoic acid and butanol alcohol on clean Al (111) surface, indicated that, (1) Initial decomposition pieces of these molecules involved attachments of residual alkyl-chains to Al ions via their oxygen ions; (2) In further decomposition reactions, the remaining alkyl-chains may anchor to the surface via their end C ions, with complete liberation of oxygen ions on OH groups from carboxyl (O═C─OH) groups to oxidize the surface; (3) The remaining alkyl-chains did not participate in reactions with the surface, but may serve as molecular caps to inhibit migrations of corrosive species into the oxide surface. And, these chains could be accessible to react with other general lubricants in base oil to form effective boundary thin-films on the surface.
This work was supported by the National Science Foundation (Grant no.: DMR9619353), USA; the Hebei Province Science and Technology Support Program (Grant no.: 15961006D), the Hebei Province Science and Technology Research Program for Colleges and Universities (Grant no.: QN2016206), and the Start-up Fund of Doctoral Research at North China Institute of Aerospace Engineering (Grant no.: BKY201405), China.
\nIn invertebrates, one ancestral gene, DAF-2, encodes one receptor that binds insulin-like peptides [1]. With the emergence of vertebrates, three distinct receptors appeared, namely: the insulin receptor (IR), the type 1 insulin-like growth factor receptor (IGF1R), and an orphan receptor called the insulin receptor-related receptor (IRR). The genes encoding these receptors share similar genomic organization, with conserved α and β protein chains that are synthesized from one single pre-mRNA (reviewed in [2]). While originally all three receptors were formed by 21 exons, both IRR and IR acquired independently one extra exon, namely exon 11. The IRR exon 11 can be traced back to amphibians, whereas IR exon 11 is found exclusively in mammals [3, 4]. Thus, exclusively in mammals, the exon 11 of the IR gene is alternatively spliced to produce two protein isoforms called IR-A and IR-B. To trace the origin of IR isoforms, Hernández-Sánchez et al. analyzed their transcripts in different species by reverse transcriptase-polymerase chain reaction (RT-PCR) analysis [4]. In mouse tissues, they found tissue-specific expression of both IR-A and IR-B, while in chicken and frog tissues, only the IR-A isoform was detected [4]. The physiological reason for the evolutionary acquisition of the IR-B isoform in mammals is unclear. It seems that the IR-B provided the receptor with higher specificity for insulin and poor binding of other possible ligands of IR-A, which will be discussed later.
In humans, the insulin receptor gene (INSR) maps to human chromosome 19 (in mice, it maps to chromosome 8) and spans more than 120 kb [5]. The insulin receptor complementary DNA (cDNA) was cloned in 1985 by two independent groups [6, 7], giving two different lengths and indicating two isoforms, dependent on the inclusion (IR-B) or exclusion (IR-A) of exon 11. The 36 base pairs of exon 11 (that account for the 12 amino acid difference) encode a portion of the C-terminus of the α-subunit in the vicinity of the ligand-binding domain (reviewed in [8]), resulting in isoform-specific properties of the receptors. A linear α-β amino acid sequence (IR pro-receptor precursor) is translated from the IR mRNA and includes a signal sequence at the N-terminus to enter the endoplasmic reticulum [9]. After cleavage of the signal peptide, the inter-α-chain disulphide dimerization occurs, forming the β-α-α-β structure of the IR [10]. The insulin pro-receptor is further processed in the Golgi apparatus by the protease furin, and the mature IR is then trafficked and inserted in the plasma membrane [11].
The IR and IGF1R belong to the same subgroup of receptor tyrosine kinases and can form either homo-receptors (two IR α-β subunits) or hybrid receptors, consisting of one IR α-β subunit linked to one IGF1R α-β subunit. Furthermore, the two IR splice variants enable the formation of both homo-dimers (IR-A/IR-A) or hetero-dimers (IR-A/IR-B), and similarly, two modalities of hybrid receptor (IR-A/IGF1R and IR-B/IGF1R). Hybrid receptors have been detected in all tissues and cell lines that express both receptor types [12] and it is presumed that both IR-A and IR-B isoforms are equally capable of forming hybrids with IGF1R [13]. The factors regulating their assembly are unknown; however, there is evidence to suggest that the formation of homo-receptors and hybrid receptors is proportional to the relative concentrations of each receptor type [12, 14, 15].
Crystal structures of the IR were determined in 1994 [16] and 2006 [17] and refined in 2016 [18]. Single-particle cryo-electron microscopy has since been used to explore receptor conformations and ligand-receptor complexes [19, 20, 21]. It is worth pointing out that these studies used the IR-A isoform to reconstruct and represent the IR. The functional IR consists of two covalently linked IR monomers, that is, two extracellular α-subunits linked by disulphide bonds and two transmembrane-spanning β-subunits. The α-subunit contains either 719 (IR-A) or 731 (IR-B) amino acids and has a molecular mass of approximately 130 kDa. This subunit is entirely extracellular and contains the ligand-binding sites. The transmembrane-spanning β-subunit contains 620 amino acids, has an approximate molecular mass of 95 kDa and is composed by extracellular, transmembrane, and cytosolic domains. The latter domain contains the receptor’s tyrosine kinase, which is activated by ligand-binding and conformational change of the IR. Two insulin-binding sites are located in the extracellular α-subunit of the IRs. The primary insulin-binding site (site 1) is formed from elements of the L1 domain and a C-terminal peptide of the α-subunit [22, 23, 24, 25, 26, 27]. The second insulin binding site (site 2) has lower ligand binding affinity and is formed from residues in the first and second type III fibronectin repeats [28]. A model for insulin binding to the IR has been showed, in which one single insulin molecule simultaneously engages site 1 of one α-chain and site 2 of the other, thus bridging the two IR monomers; while a second insulin molecule binds to the equivalent, symmetry-related site 1′, creating a second bridging with site 2′. The two insulin molecules effectively crosslink the two IR monomers and thereby activate the IR [8, 20, 21]. As to the possible implications of the differences in the α-chain C-terminal domains of the IR isoforms, comprehending the significance of the 12 extra amino acids is hampered by the lack of structural data using the IR-B isoform. Thus, only secondary structure predictions can be made. It can be inferred that the 12-amino acid fragment of IR-B is most certainly the reason for the lower binding affinity of insulin-like growth factor 1 (IGF1) and insulin-like growth factor 2 (IGF2) toward this receptor isoform in comparison to IR-A (as discussed in Section 2.2). Based on this, Menting et al. speculate that the additional residues in the IR-B α-chain C-terminus are devoid of secondary structure, thus making this structure longer and hindering steric accommodation of these ligands, with a similar situation to be expected regarding insulin binding [29]. Whittaker et al. used alanine-scanning mutagenesis of insulin binding site 1 of IR isoforms A and B transiently expressed in cells to study their insulin binding properties [30]. They found several mutations that compromised insulin binding, some of which produced differential effects between the two receptors, either reducing affinity or inactivating one specific isoform [30].
The different structures of the IR isoforms are responsible for their functional differences, for example, disparity in ligand affinities, internalization and recycling kinetics, signal transduction, and the activation of specific cellular pathways.
Insulin is the main ligand for the IR, although the receptor also binds IGF1 and IGF2, as well as proinsulin (hormone precursor to insulin) (Figure 1). Some groups set out to study the different ligand binding affinities of the IR isoforms and came to different conclusions. To measure isoform-specific ligand binding, the main technique used throughout the different studies was competition for radiolabeled insulin. All studies were conducted using human IR cDNA in mouse or rat cell lines (referred to as hIR-A and hIR-B), probably aiming to translating the findings in humans. Mosthaf et al. expressed hIR-A and hIR-B in Rat-1 cells and found that IR-A had ~2-fold higher affinity for insulin than IR-B, both in intact cells and using detergent solubilized, partially purified receptors [31]. In agreement, Kellerer et al. used partially purified receptors from Rat-1 cells and found that IR-A displayed a higher affinity for insulin compared to IR-B [32]. Accordingly, Yamaguchi et al. also reported a ~2-fold higher affinity for insulin in intact Chinese hamster ovary (CHO) cells expressing hIR-A, in comparison to those expressing hIR-B [33]. A second study by this group found a faster insulin association rate to hIR-A receptors in intact CHO cells, as well as an accelerated insulin dissociation from hIR-B receptors, proposing a biochemical basis for the differential ligand biding affinities [13]. A similar faster dissociation of insulin from hIR-B that could be responsible for the lower affinity of this receptor was shown for Rat-1 cells [34]. To note, contrarily to all studies that used stimulated native receptors on intact cell membranes, a single work using solubilized recombinant receptors found no significant difference between the affinities of the two IR isoforms for insulin [30].
IR-A, IR-B, and IGF1R monomers, and their combinatorial possibilities of dimerization, with their possible ligands. The size of the different ligands represents the relative affinity for a given receptor. IGF1, insulin-like growth factor 1; IGF1R, type 1 insulin-like growth factor receptor; IGF2, insulin-like growth factor 2; IR, insulin receptor; IR-A, insulin receptor isoform A; IR-B, insulin receptor isoform B.
IR isoform affinities for IGF1 and IGF2 have also been investigated. Frasca et al. used R-cells, a mouse fibroblastic cell line that lack IGF1R, expressing either hIR-A or hIR-B [35]. They reported that IR-A, but not IR-B, binds IGF2 with high affinity (comparable to that of insulin). Further, IGF2 bound to IR-A with similar affinity to that of IGF2 to IGF1R [35]. Using the same cellular system, Sacco et al. reported that IR-A bound IGF2 with high affinity (4-fold lower than that for insulin), whereas IR-A’s affinity for IGF1 was 30-fold lower than that for insulin [36]. Proinsulin binding has been less studied compared to the other ligands and its ability to bind differentially the two IR isoforms as well as its possible signal transduction remain an enigma. One study in intact R-cells showed that proinsulin binds and activates both IR isoforms, but had a higher affinity for hIR-A than for hIR-B. Authors report that, similar to IGF2, proinsulin effectively stimulates cell proliferation and migration and curiously had no activity toward IGF1R or IR/IGF1R hybrid receptors [37]. Conversely, McClain’s work (mentioned previously) conducted in intact Rat-1 fibroblast cells found that hIR-A and hIR-B bound proinsulin with the same relative affinity [34].
Few studies have addressed the ligand affinities for the different hybrid receptors (IR/IGF1R). Using competition for tracer-labeled insulin and an enzyme-linked immunosorbent assay (ELISA)-based method, Slaaby et al. found that IR-A/IGF1R and IR-B/IGF1R hybrid receptors respond 20 to 50 times more effectively to IGF1 than to insulin [38, 39]. The increase in IGF1R expression and thereby its incorporation into hybrid formation with IR has prompted a potential role of hybrid receptors in reducing cell insulin responsiveness. Studies in CHO cells suggest that hybrids between IGF1R and both IR isoforms have low binding affinity for insulin and high affinity for IGF1 and IGF2 [40]. Another study in R-cells showed that IR-B/IGF1R receptors had high affinity only for IGF1, whereas hybrid IR-A/IGF1R receptors also bound IGF2 and insulin [41].
In summary, the accumulated knowledge suggests that IR-A has higher affinity for insulin, IGF1 and IGF2 compared to IR-B and that hybrid receptors show a preferential affinity for IGF1 (Figure 1). This could be due to the availability/inaccessibility of the different binding sites in hybrid receptors. The majority of these affinity studies were conducted using mainly tracer-labeled ligand technique and the works on binding affinity for insulin to IR-A/IR-B are dated more than two decades ago. Molecular chemistry methods have advanced since then and it could be of interest to verify these affinity studies with improved tools comparing primary cells (with double knockout of IR and IGF1R) where only one IR isoform (of the same species of the cells) is expressed at a time. Moreover, ligand binding could potentially be altered by different post-translational modifications of the α-chain such as specific glycosylation patterns and different lipid raft composition, which could both vary between cell types and under different culture conditions.
The IR isoforms seem to display equal receptor activation and kinase activity triggered by the binding of insulin. McClain et al. investigated insulin-stimulated tyrosine kinase activity in solubilized hIR-A and hIR-B receptors by exposure to insulin and radioactive ATP and found similar accumulated radioactivity in the Tyr-phosphorylated receptors [34]. On the contrary, Kellerer et al., preparing equal amounts of solubilized hIR-A and hIR-B, found higher radioactivity for hIR-B (2.5-fold) after stimulation with insulin and phosphorus-32 [32]. However, when performing the same experiment on native receptors in human embryonic kidney (HEK) intact cell membrane transiently expressing the isoforms, they detected no difference in tyrosine kinase activity. Neither did they report differences when they used short-time trypsinization to cleave the α-subunit and activate the tyrosine kinase [32]. The latter data suggests that solubilized receptors were able to undergo different activation compared to receptors integrated in the plasma membrane of intact cells, and that differences in the isoform α-subunit structures were responsible for their different kinase activities.
Few studies on the kinetics of IR isoform-specific internalization have been published. Yamaguchi et al. showed that in CHO cells expressing the isoforms, hIR-A displayed a 25% higher rate of ligand-stimulated internalization in comparison to hIR-B [33]. Further, work in Rat-1 fibroblasts showed that in cells expressing hIR-A, the maximum internalization reached ~65% after 10 minutes, followed by a high recycling rate of ~80% of internalized receptors after 20 minutes. In hIR-B expressing cells, the maximum internalization was ~60% and was reached within 15 minutes; however, no recycling was detectable within 30 minutes [42]. Clearly, these few data in specific cell lines warrants future research to dissect the different kinetics of internalization between the two IR isoforms.
Upon ligand-binding the IRs transduce diverse signaling pathways, which culminate in cellular functions ranging from glucose, lipid and protein metabolism to cell differentiation, proliferation and apoptosis. Insulin binding causes autophosphorylation and activation of the IR, which in turn allows the binding and activation of diverse downstream effectors. The availability and/or recruitment of specific binding partners could lead to distinct signal transductions and to the consequent activation of different pathways resulting in different biological endpoints/responses in different cell types. Up until now, only few cell types and IR isoform-specific signal transduction pathways have been investigated, especially in primary cells that express both isoforms. In the insulin-producing pancreatic β-cell, Leibiger et al. showed that the binding of insulin to IR-A or IR-B results in selective transcriptional activation of different target genes [43]. Insulin gene transcription was promoted through IR-A and the activation of PI3K class Ia/p70s6k-mediated signaling, while transcription of the glucokinase gene by signaling through IR-B PI3K class II-like activity and PKB [43]. In a subsequent study from the same group, Uhles et al. showed that isoform-specific insulin receptor signaling involves different plasma membrane domains [44]. By using tagged IR isoforms in a hamster β-cell line, they found that mutation of certain amino acids encoded by exon 11 resulted in both loss of signaling and shift in IR isoforms localization in the plasma membrane, suggesting an isoform-specific sorting to different microdomains of the plasma membrane [44]. Later, they demonstrated that spatial segregation allows simultaneous and selective signaling
In summary, the small 12 amino acid difference between the IR isoforms is responsible for the differences in their function in studied cells where both receptors are expressed simultaneously. Thus, it will be pivotal in future research to address and consider the existence and distinction of two IR isoforms when studying insulin signaling in specific cell types.
The IR isoform expression is regulated in a developmental and tissue-specific manner (Figure 2). In human, adult tissues associated with the known metabolic effects of insulin, such as the liver, adipose tissue but also kidney, IR-B is the predominant isoform [48, 49, 50, 51]. The IR-A isoform is highly expressed in fetal tissues—where it enhances the effects of IGF2 during embryogenesis and fetal development [52]—and in several adult tissues, such as brain [53], spleen [31], ovary [54] and testis [55]. The up-regulation of IR-A during adult life has been associated with mitogenic effects and has been described in a wide variety of cancers (reviewed in [56]). Other tissues express both isoforms in closer proportions, such as in pancreatic islets [57] and skeletal muscle [49]. Of note, IR isoform tissue distribution is generally conserved amongst mammals, with some differences, as shown in Table 1 [31, 50, 51, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73].
IR isoform expression in tissues and cell types. IR, insulin receptor; IR-A, insulin receptor isoform A; IR-B, insulin receptor isoform B.
Brain | Adipose tissue | Liver | Kidney | Spleen | Heart | Duodenum | ||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Species | Perigonadal | Mesenteric | Retroperitoneal | Subcutaneous | Bat | |||||||||||||||||||
Author | Year | A | B | A | B | A | B | A | B | A | B | A | B | A | B | A | B | A | B | A | B | A | B | |
Besic et al. | 2015 | H | 18 | 82 | ||||||||||||||||||||
Kaminska et al. | 2014 | H | 40 | 60 | ||||||||||||||||||||
Mosthaf et al. | 1990 | H | 40 | 60 | 50 | 50 | 100 | 0 | ||||||||||||||||
Seino and Bell | 1989 | H | 100 | 0 | 70 | 30 | 15 | 85 | 40 | 60 | 100 | 0 | ||||||||||||
Sesti et al. | 1994 | H | 45 | 55 | 15 | 85 | ||||||||||||||||||
Vienberg et al. | 2011 | H | 30 | 70 | ||||||||||||||||||||
Norgren et al. | 1994 | H | 25 | 75 | 10 | 90 | ||||||||||||||||||
Escribano et al. | 2009 | M | 40 | 60 | ||||||||||||||||||||
Vienberg et al. | 2011 | M | 95 | 5 | 22 | 78 | 25 | 75 | 38 | 62 | 5 | 95 | 5 | 95 | 95 | 5 | 60 | 40 | ||||||
Muller et al. | 2007 | M | ||||||||||||||||||||||
Moruzzi et al.a | 2021 | M | 95 | 5 | 15 | 85 | 20 | 80 | 6 | 94 | 6 | 94 | 8 | 92 | 88 | 12 | 73 | 27 | 18 | 82 | ||||
Huang et al. | 1994 | Mo | 95 | 5 | 70 | 30 | 35 | 65 | 70 | 30 | 60 | 40 | ||||||||||||
Vienberg et al. | 2011 | P | 95 | 5 | 85 | 15 | 90 | 10 | 80 | 20 | 18 | 92 | 50 | 50 | 80 | 20 | 30 | 70 | ||||||
Amessou et al. | 2010 | R | 95 | 5 | 8 | 92 | 30 | 70 | ||||||||||||||||
Serrano et al. | 2005 | R | 40 | 60 | 50 | 50 | 40 | 60 | 0 | 100 | 30 | 70 | 50 | 50 | ||||||||||
Vienberg et al. | 2011 | R | 95 | 5 | 22 | 78 | 60 | 40 | 30 | 70 | 65 | 35 | 10 | 90 | 18 | 82 | ||||||||
Vidal et al. | 1995 | R | 59 | 41 | 2 | 98 | 34 | 66 | ||||||||||||||||
McGrattan et al. | 1998 | S | 29 | 70 | 29 | 70 | 20 | 80 | ||||||||||||||||
Author | Year | A | B | A | B | A | B | A | B | A | B | A | B | A | B | A | B | A | B | A | B | A | B | |
Hribal et al. | 2003 | H | 50 | 50 | ||||||||||||||||||||
Malakar et al. | 2016 | H | 42 | 58 | ||||||||||||||||||||
Mosthaf et al. | 1990 | H | 80 | 20 | 90 | 10 | ||||||||||||||||||
Norgren et al. | 1993 | H | 30 | 70 | ||||||||||||||||||||
Sell et al. | 1994 | H | 18 | 82 | ||||||||||||||||||||
Norgren et al. | 1994 | H | 25 | 75 | ||||||||||||||||||||
Malakar et al. | 2016 | M | 35 | 65 | ||||||||||||||||||||
Vienberg et al. | 2011 | M | 55 | 45 | 80 | 20 | ||||||||||||||||||
Moruzzi et al.a | 2021 | M | 61 | 39 | 75 | 25 | 65 | 35 | ||||||||||||||||
Huang et al. | 1994 | Mo | 55 | 45 | 65 | 35 | ||||||||||||||||||
Vienberg et al. | 2011 | P | 20 | 80 | 20 | 80 | 20 | 80 | ||||||||||||||||
Serrano et al. | 2005 | R | 100 | 0 | 100 | 0 | 80 | 20 | ||||||||||||||||
Vienberg et al. | 2011 | R | 90 | 10 | 90 | 10 | ||||||||||||||||||
Vidal et al. | 1995 | R | 99 | 1 | ||||||||||||||||||||
McGrattan et al. | 1998 | S | 27 | 73 |
IR isoform mRNA expression in humans and animal models expressed as percentage of IR-A and IR-B.
Control for the high-fat high-sucrose diet in that specific study.
BAT, brown adipose tissue; EDL muscle, extensor digitorum longus muscle; GM, gastrocnemius muscle; H, human; IR, insulin receptor; IR-A, insulin receptor isoform A; IR-B, insulin receptor isoform B; M, mouse; Mo, monkey; P, pig; R, rat; S, sheep.
Because every tissue is composed of a mix of different cell types, findings regarding the expression pattern of IR isoforms cannot be extrapolated without considering the specific cell types forming the tissue. For example, analysis of liver tissue shows ~90% of IR-B expression, suggesting that hepatocytes may express exclusively IR-B. However, this tissue also contains other cell types, such endothelial cells which are known to express predominantly IR-A [70, 74], and Kupffer cells (the resident macrophages in the liver) in which IR isoform expression has not been studied. Another example is the brain, where tissue analysis shows mainly IR-A expression; however, predominant IR-B expression has been described in human astrocytes [75]. Regarding other primary cells, Muller et al. applied single-cell RT-PCR to elucidate IR isoform distribution in human pancreatic islet cells and, notably, found no expression of IR-B in isolated α-cells [69]. Mouse adipose tissue resident macrophages have been found to express both IR-A and IR-B, while mouse lymphocytes and monocytes express only a low amount of IR-B. Of note, these cells were analyzed as a bulk sample after magnetic-column cell sorting, with the possibility of low contamination of other cell types that might express IR-B [70].
IR-A is predominant in progenitor and precursor cells, whereas IR-B is more abundant in differentiated cells (Figure 2). Different studies reported high levels of IR-A in brown and white pre-adipocytes, osteoblast precursors, monocytes, neural progenitors and intestinal epithelial stem cells, compared with the high IR-B levels that characterize their differentiated cell counterparts [70, 72, 76, 77, 78, 79]. Some studies have reproduced this IR-A to IR-B switch favoring cell differentiation
In summary, the IR isoforms have specific tissue and cell-type distribution, and deviations from the wild-type IR-A/IR-B ratios may affect the fine-tuning of insulin signaling, disturbing metabolic and mitogenic pathways and compromising cell function.
Insulin receptor knockout (IR-KO) mouse models have been developed to study the function of the IR, and the reconstitution of IR signaling with only one type of receptor (IR-A or IR-B) has been exploited to understanding the distinct roles of the IR isoforms. Mice with a global deletion of IR are born with normal features and with only slight growth retardation. However, shortly after birth, metabolic control rapidly deteriorates, glucose levels increase upon feeding, and insulin levels rise up to 1000-fold above normal and the animals die of diabetic ketoacidosis within 48-72 h [52, 82]. This phenotype clearly indicates that the IR is necessary for postnatal glucose homeostasis but is not essential for prenatal growth.
Using IR-KO mice, Okamoto et al. demonstrated that lethality and diabetes in IR-KO mice could be rescued by reconstitution of IR-B in three organs: liver, brain, and pancreatic β-cells [83]. However, reconstitution of IR-B in only glucose transporter type 4 (GLUT4)-expressing tissues (e.g., muscle, fat) did not rescue the phenotype [84]. Their data suggests that insulin signaling in liver, brain, and pancreatic β-cells as insulin-target tissues is sufficient to prevent diabetes. The stable expression of either IR-A or IR-B in IR-KO tissue has been used as a platform by Benito’s group to study the differential role of the IR isoforms in the liver [85]. They developed adeno-associated viral vectors encoding IR-A or IR-B targeted to the liver and showed that hepatic expression of IR-A in inducible liver insulin receptor knockout (iLIRKO) mice could increase hepatic glucose utilization, thereby decreasing hyperglycemia and ameliorating the diabetic phenotype [85]. In another recent
To date, most of the research investigating the specific function of IR isoforms has been conducted in cell lines
A number of
In primary mammal tissues, with the tools at hand, changes in IR splicing have been studied at the transcriptional level during metabolic disease such as obesity and type 2 diabetes mellitus (T2DM), extrapolating changes to the protein level and thus signaling. During diabetes and obesity, several interesting studies addressed the possibility of splicing alteration of IR in human tissues such as muscle, liver and adipose tissue, which are accessible for sampling. Moreover, these tissues are primarily involved in insulin resistance and T2DM development, being the site of glucose handling and insulin clearance (liver), energy storage (adipose tissue) and the main site of postprandial glucose uptake (muscle).
In muscle, Norgren et al. found a poor correlation between IR-A mRNA and insulin-stimulated glucose utilization as well as an increase of IR-B in muscle tissue obtained from
Contrary to muscle tissue, one study in liver suggested that hyperinsulinemia can regulate the tissue ratio of IR mRNA favoring the IR-A isoform [63]. In this work, the authors measured IR isoform mRNA levels in liver samples from individuals with or without T2DM before gastric bypass surgery and after 1.5 years follow-up. They found that IR-A expression was higher in T2DM patients prior to surgery and that the abnormal liver IR-A/IR-B ratio normalized post-surgery in patients with remission of diabetes, following a decrease in IR-A expression [63]. Despite a limited sample size, a similar trend was shown in a previous study by Moller et al. [49].
In subcutaneous adipose tissue (SAT), Kaminska et al. found an increased IR-A expression in insulin-resistant, obese and T2DM subjects (compared to controls), which was reversed by weight loss [65]. Moreover, they found a correlation between high fasting insulin and IR-A, linking these alterations to possible changes in splicing factors, which would in turn regulate IR isoform expression. However, using a polyclonal antibody which can differently displace radiolabeled insulin from the two IR isoforms (used for studies in muscle as mentioned above [90]), a previous study in human isolated adipocytes showed an increase in IR-B expression in adipocytes of non-insulin-dependent T2DM patients [92]. Notably, this small cohort of patients had similar body mass index (BMI) values and insulin levels and were on different antidiabetic medications or under dietary intervention [92].
In mouse as well as in other mammals, several studies have addressed the amount of IR isoform transcripts in different organs in healthy animals (see Section 3). Surprisingly, studies of the changes in IR isoform mRNA during metabolic disease, aimed to find common patterns and possible mechanisms, are scarce. The IR mRNA splicing variants were analyzed by RNA template-specific PCR (RS-PCR) in several tissues of a small group of diabetic rhesus monkeys [71]. Here, the authors showed that hyperinsulinemic monkeys had significantly higher expression of IR-A in
In relation to metabolic diseases, it is worth mentioning that complications of myotonic dystrophy—an autosomal genetic disease characterized by muscle loss and weakness caused by the expansion of nucleotides repeat in 3′ untranslated region of different mRNAs—has been found to alter the IR pre-mRNA splicing [93, 94]. One of the mechanisms involves the function of the CUG-BP splicing factor (acting on CUG repeats), which together with MBNL1 and other splicing factors has been shown to be pivotal for IR gene regulation [95]. In both myotonic dystrophy types 1 and 2 (DM1 and DM2), insulin resistance and decreased muscle insulin sensitivity are common. This correlates with an isoform switch from IR-B to IR-A in muscle, without changes in the total IR protein levels, and can be considered the closest model of IR splicing changes in a specific cell type
In summary, in metabolic diseases such as T2DM or obesity, limited work has been conducted in humans and animal models to uncover IR isoform changes and underlying mechanisms during disease. It seems that long-term metabolic alterations such as the ones occurring during T2DM and obesity alter the IR isoform mRNA ratio in some of the studied tissues. It seems that IR-A/IR-B ratio decreases in muscle and increases in liver and adipose tissue during hyperinsulinemic and T2DM states in humans [48, 63, 67, 89, 90, 92]. It is current consensus in the field that a higher expression of IR-A (considered to drive more mitogenic signals rather than metabolic ones) would enable this isoform to compete with IR-B for insulin, thus reducing the action of IR-B in maintaining glucose homeostasis, leading to insulin resistance. This seems to be the case during diabetes mellitus, although there could be other possible metabolic alterations due to changes in alternative splicing of other genes. Alternatively, a change in IR isoforms ratio could be interpreted as a result of changes in tissue architecture and the increase/decrease of certain cell types expressing one or the other isoforms. In fact, besides one exception, the mentioned investigations were conducted measuring IR isoform mRNA in the whole muscle, liver and adipose tissue. Architecturally, all tissues are composed of different cell types, as well as different subpopulations (heterogeneity) within a specific cell type. For example, in liver and fat, zonation has been described, in which differences in transcriptomics shows that even cells of the same kind display different phenotypes and potentially even specific IR isoform ratios [97, 98]. Thus, without experiments focusing on dissecting the mechanism behind a change in IR isoforms at single-cell resolution, it will be difficult to draw conclusion on the mechanism behind this phenomenon during metabolic disease. Future efforts are therefore required to tackle this issue more in depth to provide a common denominator for the IR changes at cell resolution, possibly taking advantage of a cell type that expresses both IR isoforms, in order to detect if changes in splicing occur.
Since the discovery of the alternative splicing of the IR in 1989 by Seino et al. [50], many studies have focused on understanding the tissue expression patterns, binding affinity, crystal structures, differential signaling and alternative routes of internalization and recycling of the IR isoforms. However, what we currently know about the IR isoforms is only a fraction of what we have not discovered yet. The reason for the two isoforms conferring an evolutionary advantage in mammals, and why other vertebrates, such as birds and fish, exist with just IR-A as well as the reasons behind the complex interactions and redundancy of insulin and IGFs systems are extremely interesting and important questions. Uncovering these aspects together with understanding why IR-A is expressed during development, in stem and cancer cells, and why progenitor cells express mainly IR-A switching their expression to IR-B upon differentiation and specialization, would help decipher the complex regulation of IR-mediated signaling upon their ligand binding. Here below, we present key points, which should be addressed in the near future, along with the tools needed in order to achieve these goals.
Amongst the pioneers of the IR isoform research area, Seino and Mosthaf in the ‘90s pinpointed the importance of determining IR isoforms splicing and their signaling at single cell level [31, 50, 99]. Until now, almost all works investigating the change in IR splice isoforms were performed using whole tissues. Thus, a key question is where/if the IR isoforms are present at the single-cell level
It is common, especially in the research field of metabolic disease to talk about “classical or canonical” and “non-classical or non-canonical” insulin target tissues. The first have most commonly been liver, muscle and fat, while recently also pancreatic islets and brain have been considered. However, all cells in the body express IRs and therefore this distinction might be obsolete. The type and amount of the ligands that can bind the IR and the downstream signaling proteins involved in IR-mediated signaling (i.e., IRSs, PI3Ks, MAPKs, AKTs, etc.) are expressed in different amounts in different cell types within a tissue and this heterogeneity increases the combinatorial possibility of signaling downstream of the receptor (reviewed in [103]).
The current consensus is that an increase of IR-A, with its higher affinity for insulin and IGF2, might induce a strong proliferative signal and decrease the metabolic effect of insulin (reviewed in [56, 104]). There is strong evidence that IR-A is increased in cancer, where it exerts a proliferative and survival advantage. However, the fact that IR-A transduces a mitogenic signal in non-cancer and non-stem cells, where both isoforms are present, seems not always to be the case. In pancreatic β-cell, where both IR isoforms are present, the IR-A induces a downstream activation of insulin gene transcription and does not confer proliferative effects [43]. Of note, the pancreatic β-cell is the only primary non-cancer cell, together with kidney podocytes, from which there is evidence of IR isoform-specific signal transduction, and for which downstream pathways have been partially uncovered [43, 46, 47, 105, 106]. Moreover, cells with high prevalence of IR-A such as neurons are clearly not proliferative, showing that alteration of ligands and downstream signaling might be the key factors for the proliferative effect through IR-A.
In cells that express both IR homo-receptors simultaneously, one hypothesis would be that the two isoforms regulate different signaling pathways in the same cell as shown for pancreatic β-cells, due to spatial segregation at the membrane and different downstream binding partners. This could explain the selective insulin resistance (as shown for podocytes [47]) seen in liver or adipose tissue, where only some downstream signals of the insulin signaling pathway are blunted during disease [107, 108]. However, the selective insulin resistance in liver or fat linked to the IR isoforms still depends on the possibility that hepatocytes and adipocytes express IR-A. Moreover, if we hypothesize that of the total IR in hepatocytes or adipocytes only 10% is IR-A, then IR-A homo-receptors should be absent and IR-A would be found forming hetero-receptors with IR-B, unless some mechanism of segregation is present to preserve homo-dimer assembly.
An understudied variable that could potentially alter insulin signaling during metabolic disease is the binding of proinsulin to IR-A and its possible downstream effect. In fact, it is still not clear if this binding results in a signal transduction, or if the IR acts as a “sponge” for proinsulin resulting in a decrease in insulin binding. This aspect could play an important role during T2DM development, where the proinsulin/insulin ratio is increased in plasma [37].
In summary, much work needs to be done to understand basic questions regarding the IR isoform expression and signaling in specific cell types and during disease. However, essential tools to discriminate between the two IR isoforms are lacking and critical to address these important issues and provide breakthroughs in the field.
Up until now, measuring IR isoform mRNA has been useful to investigate the isoforms at tissue level, and more recently at cellular resolution
Pivotal to understanding the dynamics and the regulation of the equilibrium of the IR isoforms (and therefore signaling) in health and disease is to develop tools with the possibility to visualize the amount and localization of the mature isoform receptors. Up to now, attempts to develop an isoform-specific antibody for Western blotting or immunostaining have failed, probably due to the small difference between the two denatured proteins and to the fact that the 12 differential amino acids reside in a poorly accessible area of the receptor. Means to visualize the IR isoform in live cells would allow studying the binding of ligands to the IR isoforms at the cell membrane. Additionally, other small molecules such as aptamers, nucleotides oligomers that could differentially bind to the IR isoforms could conjugate with fluorescent dyes and allow the visualization of endogenous IR receptor monomers or dimers in living cells. Such visualization would allow to track the receptors
Alternatively, the results of overexpression studies can be useful in understanding the possible segregation of the IRs due to different lipid membrane requirements, and possibly signaling [110]. However, a spill over of signaling and changes in IR distribution could take place due to overexpression and the results would need to be confirmed based on the endogenous receptor.
Let us imagine having the available methods to visualize and measure the IR at the protein level as well as the cellular distribution of IR-A/IR-B monomers, dimers and hybrids receptors. With these tools it would be possible to study which signals are transduced by the IR isoforms in a determined cell type and in response to insulin, proinsulin, IGF1 and IGF2. In this scenario, new discoveries could be used to develop targeted treatments for metabolic diseases. For example, we could screen for selective activators and inhibitors of the different IR isoforms by measuring downstream activation of selective pathways in specific healthy or diseased cells.
We have discussed the necessity of being able to understand the specific signaling cascades initiated by the different receptors upon ligand binding. The two IR isoforms could be considered as targets to selectively increase or decrease signaling pathways driven by one of the two receptors in specific cell types. Focusing on diabetes, and provided that signaling pathways downstream of IR-B are the ones modulating glucose metabolism, the generation of selective IR-B activators could be beneficial in comparison to the current insulin sensitizers or insulin analogues, which do not target either isoform specifically. On the contrary, selectively targeting IR-A, using specific antibodies or other therapeutic molecules, could be directed to treat tumor proliferation by blunting its mitogenic signaling pathways and thus hamper cell growth and survival. Newly developed insulin analogues that preferentially bind one or the other IR isoform [111] could be pivotal for improving insulin therapy, but to define this feature we would need to have tools to measure selective downstream signaling in specific cells and tissues to understand the potency and effect of such molecules. Not only peptides could be used to modulate the IR isoform activity in a selective manner, but other small molecules such as aptamers could also prove useful. One promising publication showed that these molecules can be IR isoform-specific and can facilitate or block the signaling selectively, working as allosteric regulators [112].
Another intriguing therapeutic possibility to modulate IR splice isoforms would be to use a selective splice switcher, which has recently been tested (reviewed in [113]). This would also be a better strategy to study the IR isoforms
In this chapter, we aimed to summarize the state of the art research involving the IR isoforms, especially in the area of metabolic disease. We also wanted to draw attention to how important it is to understand the full implications of having two IR isoforms. The majority of the research focused on insulin signaling refers to the IR as one receptor, without considering that there are two structurally and functionally distinct isoforms in play. In our view, future research in this field would benefit from a focus on cell type-specific IR isoform signal transduction pathways, what differences there may be between cells of the same type but different localization in a tissue, and finally, what changes occur during disease. The development of the tools needed to address these questions would pave the way for important breakthroughs in comprehending the ubiquitous, but diverse, IR signaling. Finally, these tools will be essential for the development and testing of new therapeutic strategies to counteract diseases affected by IR signaling dysfunction.
We would like to thank Ingo and Barbara Leibiger for the critical reading of this chapter and their contribution as part of the Per-Olof Berggren lab in the field of IR isoforms in pancreatic islets.
The authors declare no conflict of interest.
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From\r\n1964 to 1974, he worked as Assistant in Biochemistry at the School of MedicineUniversidad Nacional de La Plata, Argentina. From 1974 to 1976, he was a Fellowof the National Institutes of Health (NIH) at the University of Connecticut, Health Center, USA. From 1985 to 2004, he served as a Full Professor oBiochemistry at the Universidad Nacional de La Plata, Argentina. He is Member ofthe National Research Council (CONICET), Argentina, and Argentine Society foBiochemistry and Molecular Biology (SAIB). His laboratory has been interested for manyears in the lipid peroxidation of biological membranes from various tissues and different species. Professor Catalá has directed twelve doctoral theses, publishedover 100 papers in peer reviewed journals, several chapters in books andtwelve edited books. Angel Catalá received awards at the 40th InternationaConference Biochemistry of Lipids 1999: Dijon (France). 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Military Reserve Officer serving with the 100 Support Command, 100 Troop Command, 40 Infantry Division, CA National Guard.",institutionString:null,institution:{name:"Loma Linda University",institutionURL:null,country:{name:"United States of America"}}}]},{type:"book",id:"6925",title:"Endoplasmic Reticulum",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/6925.jpg",slug:"endoplasmic-reticulum",publishedDate:"April 17th 2019",editedByType:"Edited by",bookSignature:"Angel Català",hash:"a9e90d2dbdbc46128dfe7dac9f87c6b4",volumeInSeries:2,fullTitle:"Endoplasmic Reticulum",editors:[{id:"196544",title:"Prof.",name:"Angel",middleName:null,surname:"Catala",slug:"angel-catala",fullName:"Angel Catala",profilePictureURL:"https://mts.intechopen.com/storage/users/196544/images/system/196544.jpg",biography:"Angel Catalá studied chemistry at Universidad Nacional de La Plata, Argentina, where he received a Ph.D. in Chemistry (Biological Branch) in 1965. 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Radiotherapy and Nuclear Medicine Technology has always been my aspiration and my life. As years passed I accumulated a tremendous amount of skills and knowledge in Radiotherapy and Nuclear Medicine, Conventional Radiology, Radiation Protection, Bioinformatics Technology, PACS, Image processing, clinically and lecturing that will enable me to provide a valuable service to the community as a Researcher and Consultant in this field. My method of translating this into day to day in clinical practice is non-exhaustible and my habit of exchanging knowledge and expertise with others in those fields is the code and secret of success.",institutionString:null,institution:{name:"Majmaah University",country:{name:"Saudi Arabia"}}},{id:"313277",title:"Dr.",name:"Bartłomiej",middleName:null,surname:"Płaczek",slug:"bartlomiej-placzek",fullName:"Bartłomiej Płaczek",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/313277/images/system/313277.jpg",biography:"Bartłomiej Płaczek, MSc (2002), Ph.D. (2005), Habilitation (2016), is a professor at the University of Silesia, Institute of Computer Science, Poland, and an expert from the National Centre for Research and Development. His research interests include sensor networks, smart sensors, intelligent systems, and image processing with applications in healthcare and medicine. He is the author or co-author of more than seventy papers in peer-reviewed journals and conferences as well as the co-author of several books. He serves as a reviewer for many scientific journals, international conferences, and research foundations. Since 2010, Dr. Placzek has been a reviewer of grants and projects (including EU projects) in the field of information technologies.",institutionString:"University of Silesia",institution:{name:"University of Silesia",country:{name:"Poland"}}},{id:"35000",title:"Prof.",name:"Ulrich H.P",middleName:"H.P.",surname:"Fischer",slug:"ulrich-h.p-fischer",fullName:"Ulrich H.P Fischer",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/35000/images/3052_n.jpg",biography:"Academic and Professional Background\nUlrich H. P. has Diploma and PhD degrees in Physics from the Free University Berlin, Germany. He has been working on research positions in the Heinrich-Hertz-Institute in Germany. Several international research projects has been performed with European partners from France, Netherlands, Norway and the UK. He is currently Professor of Communications Systems at the Harz University of Applied Sciences, Germany.\n\nPublications and Publishing\nHe has edited one book, a special interest book about ‘Optoelectronic Packaging’ (VDE, Berlin, Germany), and has published over 100 papers and is owner of several international patents for WDM over POF key elements.\n\nKey Research and Consulting Interests\nUlrich’s research activity has always been related to Spectroscopy and Optical Communications Technology. Specific current interests include the validation of complex instruments, and the application of VR technology to the development and testing of measurement systems. He has been reviewer for several publications of the Optical Society of America\\'s including Photonics Technology Letters and Applied Optics.\n\nPersonal Interests\nThese include motor cycling in a very relaxed manner and performing martial arts.",institutionString:null,institution:{name:"Charité",country:{name:"Germany"}}},{id:"341622",title:"Ph.D.",name:"Eduardo",middleName:null,surname:"Rojas Alvarez",slug:"eduardo-rojas-alvarez",fullName:"Eduardo Rojas Alvarez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/341622/images/15892_n.jpg",biography:null,institutionString:null,institution:{name:"University of Cuenca",country:{name:"Ecuador"}}},{id:"215610",title:"Prof.",name:"Muhammad",middleName:null,surname:"Sarfraz",slug:"muhammad-sarfraz",fullName:"Muhammad Sarfraz",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/215610/images/system/215610.jpeg",biography:"Muhammad Sarfraz is a professor in the Department of Information Science, Kuwait University, Kuwait. His research interests include optimization, computer graphics, computer vision, image processing, machine learning, pattern recognition, soft computing, data science, and intelligent systems. Prof. Sarfraz has been a keynote/invited speaker at various platforms around the globe. He has advised/supervised more than 110 students for their MSc and Ph.D. theses. He has published more than 400 publications as books, journal articles, and conference papers. He has authored and/or edited around seventy books. Prof. Sarfraz is a member of various professional societies. He is a chair and member of international advisory committees and organizing committees of numerous international conferences. He is also an editor and editor in chief for various international journals.",institutionString:"Kuwait University",institution:{name:"Kuwait University",country:{name:"Kuwait"}}},{id:"32650",title:"Prof.",name:"Lukas",middleName:"Willem",surname:"Snyman",slug:"lukas-snyman",fullName:"Lukas Snyman",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/32650/images/4136_n.jpg",biography:"Lukas Willem Snyman received his basic education at primary and high schools in South Africa, Eastern Cape. He enrolled at today's Nelson Metropolitan University and graduated from this university with a BSc in Physics and Mathematics, B.Sc Honors in Physics, MSc in Semiconductor Physics, and a Ph.D. in Semiconductor Physics in 1987. After his studies, he chose an academic career and devoted his energy to the teaching of physics to first, second, and third-year students. After positions as a lecturer at the University of Port Elizabeth, he accepted a position as Associate Professor at the University of Pretoria, South Africa.\r\n\r\nIn 1992, he motivates the concept of 'television and computer-based education” as means to reach large student numbers with only the best of teaching expertise and publishes an article on the concept in the SA Journal of Higher Education of 1993 (and later in 2003). The University of Pretoria subsequently approved a series of test projects on the concept with outreach to Mamelodi and Eerste Rust in 1993. In 1994, the University established a 'Unit for Telematic Education ' as a support section for multiple faculties at the University of Pretoria. In subsequent years, the concept of 'telematic education” subsequently becomes well established in academic circles in South Africa, grew in popularity, and is adopted by many universities and colleges throughout South Africa as a medium of enhancing education and training, as a method to reaching out to far out communities, and as a means to enhance study from the home environment.\r\n\r\nProfessor Snyman in subsequent years pursued research in semiconductor physics, semiconductor devices, microelectronics, and optoelectronics.\r\n\r\nIn 2000 he joined the TUT as a full professor. Here served for a period as head of the Department of Electronic Engineering. Here he makes contributions to solar energy development, microwave and optoelectronic device development, silicon photonics, as well as contributions to new mobile telecommunication systems and network planning in SA.\r\n\r\nCurrently, he teaches electronics and telecommunications at the TUT to audiences ranging from first-year students to Ph.D. level.\r\n\r\nFor his research in the field of 'Silicon Photonics” since 1990, he has published (as author and co-author) about thirty internationally reviewed articles in scientific journals, contributed to more than forty international conferences, about 25 South African provisional patents (as inventor and co-inventor), 8 PCT international patent applications until now. Of these, two USA patents applications, two European Patents, two Korean patents, and ten SA patents have been granted. A further 4 USA patents, 5 European patents, 3 Korean patents, 3 Chinese patents, and 3 Japanese patents are currently under consideration.\r\n\r\nRecently he has also published an extensive scholarly chapter in an internet open access book on 'Integrating Microphotonic Systems and MOEMS into standard Silicon CMOS Integrated circuitry”.\r\n\r\nFurthermore, Professor Snyman recently steered a new initiative at the TUT by introducing a 'Laboratory for Innovative Electronic Systems ' at the Department of Electrical Engineering. The model of this laboratory or center is to primarily combine outputs as achieved by high-level research with lower-level system development and entrepreneurship in a technical university environment. Students are allocated to projects at different levels with PhDs and Master students allocated to the generation of new knowledge and new technologies, while students at the diploma and Baccalaureus level are allocated to electronic systems development with a direct and a near application for application in industry or the commercial and public sectors in South Africa.\r\n\r\nProfessor Snyman received the WIRSAM Award of 1983 and the WIRSAM Award in 1985 in South Africa for best research papers by a young scientist at two international conferences on electron microscopy in South Africa. He subsequently received the SA Microelectronics Award for the best dissertation emanating from studies executed at a South African university in the field of Physics and Microelectronics in South Africa in 1987. In October of 2011, Professor Snyman received the prestigious Institutional Award for 'Innovator of the Year” for 2010 at the Tshwane University of Technology, South Africa. This award was based on the number of patents recognized and granted by local and international institutions as well as for his contributions concerning innovation at the TUT.",institutionString:null,institution:{name:"University of South Africa",country:{name:"South Africa"}}},{id:"317279",title:"Mr.",name:"Ali",middleName:"Usama",surname:"Syed",slug:"ali-syed",fullName:"Ali Syed",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/317279/images/16024_n.png",biography:"A creative, talented, and innovative young professional who is dedicated, well organized, and capable research fellow with two years of experience in graduate-level research, published in engineering journals and book, with related expertise in Bio-robotics, equally passionate about the aesthetics of the mechanical and electronic system, obtained expertise in the use of MS Office, MATLAB, SolidWorks, LabVIEW, Proteus, Fusion 360, having a grasp on python, C++ and assembly language, possess proven ability in acquiring research grants, previous appointments with social and educational societies with experience in administration, current affiliations with IEEE and Web of Science, a confident presenter at conferences and teacher in classrooms, able to explain complex information to audiences of all levels.",institutionString:null,institution:{name:"Air University",country:{name:"Pakistan"}}},{id:"75526",title:"Ph.D.",name:"Zihni Onur",middleName:null,surname:"Uygun",slug:"zihni-onur-uygun",fullName:"Zihni Onur Uygun",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/75526/images/12_n.jpg",biography:"My undergraduate education and my Master of Science educations at Ege University and at Çanakkale Onsekiz Mart University have given me a firm foundation in Biochemistry, Analytical Chemistry, Biosensors, Bioelectronics, Physical Chemistry and Medicine. After obtaining my degree as a MSc in analytical chemistry, I started working as a research assistant in Ege University Medical Faculty in 2014. In parallel, I enrolled to the MSc program at the Department of Medical Biochemistry at Ege University to gain deeper knowledge on medical and biochemical sciences as well as clinical chemistry in 2014. In my PhD I deeply researched on biosensors and bioelectronics and finished in 2020. Now I have eleven SCI-Expanded Index published papers, 6 international book chapters, referee assignments for different SCIE journals, one international patent pending, several international awards, projects and bursaries. In parallel to my research assistant position at Ege University Medical Faculty, Department of Medical Biochemistry, in April 2016, I also founded a Start-Up Company (Denosens Biotechnology LTD) by the support of The Scientific and Technological Research Council of Turkey. Currently, I am also working as a CEO in Denosens Biotechnology. The main purposes of the company, which carries out R&D as a research center, are to develop new generation biosensors and sensors for both point-of-care diagnostics; such as glucose, lactate, cholesterol and cancer biomarker detections. My specific experimental and instrumental skills are Biochemistry, Biosensor, Analytical Chemistry, Electrochemistry, Mobile phone based point-of-care diagnostic device, POCTs and Patient interface designs, HPLC, Tandem Mass Spectrometry, Spectrophotometry, ELISA.",institutionString:null,institution:{name:"Ege University",country:{name:"Turkey"}}},{id:"246502",title:"Dr.",name:"Jaya T.",middleName:"T",surname:"Varkey",slug:"jaya-t.-varkey",fullName:"Jaya T. Varkey",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/246502/images/11160_n.jpg",biography:"Jaya T. Varkey, PhD, graduated with a degree in Chemistry from Cochin University of Science and Technology, Kerala, India. She obtained a PhD in Chemistry from the School of Chemical Sciences, Mahatma Gandhi University, Kerala, India, and completed a post-doctoral fellowship at the University of Minnesota, USA. She is a research guide at Mahatma Gandhi University and Associate Professor in Chemistry, St. Teresa’s College, Kochi, Kerala, India.\nDr. Varkey received a National Young Scientist award from the Indian Science Congress (1995), a UGC Research award (2016–2018), an Indian National Science Academy (INSA) Visiting Scientist award (2018–2019), and a Best Innovative Faculty award from the All India Association for Christian Higher Education (AIACHE) (2019). She Hashas received the Sr. Mary Cecil prize for best research paper three times. She was also awarded a start-up to develop a tea bag water filter. \nDr. Varkey has published two international books and twenty-seven international journal publications. She is an editorial board member for five international journals.",institutionString:"St. Teresa’s College",institution:null},{id:"250668",title:"Dr.",name:"Ali",middleName:null,surname:"Nabipour Chakoli",slug:"ali-nabipour-chakoli",fullName:"Ali Nabipour Chakoli",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/250668/images/system/250668.jpg",biography:"Academic Qualification:\r\n•\tPhD in Materials Physics and Chemistry, From: Sep. 2006, to: Sep. 2010, School of Materials Science and Engineering, Harbin Institute of Technology, Thesis: Structure and Shape Memory Effect of Functionalized MWCNTs/poly (L-lactide-co-ε-caprolactone) Nanocomposites. Supervisor: Prof. Wei Cai,\r\n•\tM.Sc in Applied Physics, From: 1996, to: 1998, Faculty of Physics & Nuclear Science, Amirkabir Uni. of Technology, Tehran, Iran, Thesis: Determination of Boron in Micro alloy Steels with solid state nuclear track detectors by neutron induced auto radiography, Supervisors: Dr. M. Hosseini Ashrafi and Dr. A. Hosseini.\r\n•\tB.Sc. in Applied Physics, From: 1991, to: 1996, Faculty of Physics & Nuclear Science, Amirkabir Uni. of Technology, Tehran, Iran, Thesis: Design of shielding for Am-Be neutron sources for In Vivo neutron activation analysis, Supervisor: Dr. M. Hosseini Ashrafi.\r\n\r\nResearch Experiences:\r\n1.\tNanomaterials, Carbon Nanotubes, Graphene: Synthesis, Functionalization and Characterization,\r\n2.\tMWCNTs/Polymer Composites: Fabrication and Characterization, \r\n3.\tShape Memory Polymers, Biodegradable Polymers, ORC, Collagen,\r\n4.\tMaterials Analysis and Characterizations: TEM, SEM, XPS, FT-IR, Raman, DSC, DMA, TGA, XRD, GPC, Fluoroscopy, \r\n5.\tInteraction of Radiation with Mater, Nuclear Safety and Security, NDT(RT),\r\n6.\tRadiation Detectors, Calibration (SSDL),\r\n7.\tCompleted IAEA e-learning Courses:\r\nNuclear Security (15 Modules),\r\nNuclear Safety:\r\nTSA 2: Regulatory Protection in Occupational Exposure,\r\nTips & Tricks: Radiation Protection in Radiography,\r\nSafety and Quality in Radiotherapy,\r\nCourse on Sealed Radioactive Sources,\r\nCourse on Fundamentals of Environmental Remediation,\r\nCourse on Planning for Environmental Remediation,\r\nKnowledge Management Orientation Course,\r\nFood Irradiation - Technology, Applications and Good Practices,\r\nEmployment:\r\nFrom 2010 to now: Academic staff, Nuclear Science and Technology Research Institute, Kargar Shomali, Tehran, Iran, P.O. Box: 14395-836.\r\nFrom 1997 to 2006: Expert of Materials Analysis and Characterization. Research Center of Agriculture and Medicine. Rajaeeshahr, Karaj, Iran, P. O. Box: 31585-498.",institutionString:"Atomic Energy Organization of Iran",institution:{name:"Atomic Energy Organization of Iran",country:{name:"Iran"}}},{id:"248279",title:"Dr.",name:"Monika",middleName:"Elzbieta",surname:"Machoy",slug:"monika-machoy",fullName:"Monika Machoy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/248279/images/system/248279.jpeg",biography:"Monika Elżbieta Machoy, MD, graduated with distinction from the Faculty of Medicine and Dentistry at the Pomeranian Medical University in 2009, defended her PhD thesis with summa cum laude in 2016 and is currently employed as a researcher at the Department of Orthodontics of the Pomeranian Medical University. She expanded her professional knowledge during a one-year scholarship program at the Ernst Moritz Arndt University in Greifswald, Germany and during a three-year internship at the Technical University in Dresden, Germany. She has been a speaker at numerous orthodontic conferences, among others, American Association of Orthodontics, European Orthodontic Symposium and numerous conferences of the Polish Orthodontic Society. She conducts research focusing on the effect of orthodontic treatment on dental and periodontal tissues and the causes of pain in orthodontic patients.",institutionString:"Pomeranian Medical University",institution:{name:"Pomeranian Medical University",country:{name:"Poland"}}},{id:"252743",title:"Prof.",name:"Aswini",middleName:"Kumar",surname:"Kar",slug:"aswini-kar",fullName:"Aswini Kar",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/252743/images/10381_n.jpg",biography:"uploaded in cv",institutionString:null,institution:{name:"KIIT University",country:{name:"India"}}},{id:"204256",title:"Dr.",name:"Anil",middleName:"Kumar",surname:"Kumar Sahu",slug:"anil-kumar-sahu",fullName:"Anil Kumar Sahu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/204256/images/14201_n.jpg",biography:"I have nearly 11 years of research and teaching experience. I have done my master degree from University Institute of Pharmacy, Pt. Ravi Shankar Shukla University, Raipur, Chhattisgarh India. I have published 16 review and research articles in international and national journals and published 4 chapters in IntechOpen, the world’s leading publisher of Open access books. I have presented many papers at national and international conferences. I have received research award from Indian Drug Manufacturers Association in year 2015. My research interest extends from novel lymphatic drug delivery systems, oral delivery system for herbal bioactive to formulation optimization.",institutionString:null,institution:{name:"Chhattisgarh Swami Vivekanand Technical University",country:{name:"India"}}},{id:"253468",title:"Dr.",name:"Mariusz",middleName:null,surname:"Marzec",slug:"mariusz-marzec",fullName:"Mariusz Marzec",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/253468/images/system/253468.png",biography:"An assistant professor at Department of Biomedical Computer Systems, at Institute of Computer Science, Silesian University in Katowice. Scientific interests: computer analysis and processing of images, biomedical images, databases and programming languages. He is an author and co-author of scientific publications covering analysis and processing of biomedical images and development of database systems.",institutionString:"University of Silesia",institution:null},{id:"212432",title:"Prof.",name:"Hadi",middleName:null,surname:"Mohammadi",slug:"hadi-mohammadi",fullName:"Hadi Mohammadi",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/212432/images/system/212432.jpeg",biography:"Dr. Hadi Mohammadi is a biomedical engineer with hands-on experience in the design and development of many engineering structures and medical devices through various projects that he has been involved in over the past twenty years. Dr. Mohammadi received his BSc. and MSc. degrees in Mechanical Engineering from Sharif University of Technology, Tehran, Iran, and his PhD. degree in Biomedical Engineering (biomaterials) from the University of Western Ontario. He was a postdoctoral trainee for almost four years at University of Calgary and Harvard Medical School. He is an industry innovator having created the technology to produce lifelike synthetic platforms that can be used for the simulation of almost all cardiovascular reconstructive surgeries. He’s been heavily involved in the design and development of cardiovascular devices and technology for the past 10 years. He is currently an Assistant Professor with the University of British Colombia, Canada.",institutionString:"University of British Columbia",institution:{name:"University of British Columbia",country:{name:"Canada"}}},{id:"254463",title:"Prof.",name:"Haisheng",middleName:null,surname:"Yang",slug:"haisheng-yang",fullName:"Haisheng Yang",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/254463/images/system/254463.jpeg",biography:"Haisheng Yang, Ph.D., Professor and Director of the Department of Biomedical Engineering, College of Life Science and Bioengineering, Beijing University of Technology. He received his Ph.D. degree in Mechanics/Biomechanics from Harbin Institute of Technology (jointly with University of California, Berkeley). Afterwards, he worked as a Postdoctoral Research Associate in the Purdue Musculoskeletal Biology and Mechanics Lab at the Department of Basic Medical Sciences, Purdue University, USA. He also conducted research in the Research Centre of Shriners Hospitals for Children-Canada at McGill University, Canada. Dr. Yang has over 10 years research experience in orthopaedic biomechanics and mechanobiology of bone adaptation and regeneration. He earned an award from Beijing Overseas Talents Aggregation program in 2017 and serves as Beijing Distinguished Professor.",institutionString:"Beijing University of Technology",institution:null},{id:"255757",title:"Dr.",name:"Igor",middleName:"Victorovich",surname:"Lakhno",slug:"igor-lakhno",fullName:"Igor Lakhno",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/255757/images/system/255757.jpg",biography:"Lakhno Igor Victorovich was born in 1971 in Kharkiv (Ukraine). \nMD – 1994, Kharkiv National Medical Univesity.\nOb&Gyn; – 1997, master courses in Kharkiv Medical Academy of Postgraduate Education.\nPhD – 1999, Kharkiv National Medical Univesity.\nDSc – 2019, PL Shupik National Academy of Postgraduate Education \nLakhno Igor has been graduated from an international training courses on reproductive medicine and family planning held in Debrecen University (Hungary) in 1997. Since 1998 Lakhno Igor has worked as an associate professor of the department of obstetrics and gynecology of VN Karazin National University and an associate professor of the perinatology, obstetrics and gynecology department of Kharkiv Medical Academy of Postgraduate Education. Since June 2019 he’s a professor of the department of obstetrics and gynecology of VN Karazin National University and a professor of the perinatology, obstetrics and gynecology department of Kharkiv Medical Academy of Postgraduate Education . He’s an author of about 200 printed works and there are 17 of them in Scopus or Web of Science databases. Lakhno Igor is a rewiever of Journal of Obstetrics and Gynaecology (Taylor and Francis), Informatics in Medicine Unlocked (Elsevier), The Journal of Obstetrics and Gynecology Research (Wiley), Endocrine, Metabolic & Immune Disorders-Drug Targets (Bentham Open), The Open Biomedical Engineering Journal (Bentham Open), etc. He’s defended a dissertation for DSc degree \\'Pre-eclampsia: prediction, prevention and treatment”. Lakhno Igor has participated as a speaker in several international conferences and congresses (International Conference on Biological Oscillations April 10th-14th 2016, Lancaster, UK, The 9th conference of the European Study Group on Cardiovascular Oscillations). His main scientific interests: obstetrics, women’s health, fetal medicine, cardiovascular medicine.",institutionString:"V.N. Karazin Kharkiv National University",institution:{name:"Kharkiv Medical Academy of Postgraduate Education",country:{name:"Ukraine"}}},{id:"89721",title:"Dr.",name:"Mehmet",middleName:"Cuneyt",surname:"Ozmen",slug:"mehmet-ozmen",fullName:"Mehmet Ozmen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/89721/images/7289_n.jpg",biography:null,institutionString:null,institution:{name:"Gazi University",country:{name:"Turkey"}}},{id:"243698",title:"M.D.",name:"Xiaogang",middleName:null,surname:"Wang",slug:"xiaogang-wang",fullName:"Xiaogang Wang",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/243698/images/system/243698.png",biography:"Dr. Xiaogang Wang, a faculty member of Shanxi Eye Hospital specializing in the treatment of cataract and retinal disease and a tutor for postgraduate students of Shanxi Medical University, worked in the COOL Lab as an international visiting scholar under the supervision of Dr. David Huang and Yali Jia from October 2012 through November 2013. Dr. Wang earned an MD from Shanxi Medical University and a Ph.D. from Shanghai Jiao Tong University. Dr. Wang was awarded two research project grants focused on multimodal optical coherence tomography imaging and deep learning in cataract and retinal disease, from the National Natural Science Foundation of China. He has published around 30 peer-reviewed journal papers and four book chapters and co-edited one book.",institutionString:"Shanxi Eye Hospital",institution:{name:"Shanxi Eye Hospital",country:{name:"China"}}},{id:"242893",title:"Ph.D. Student",name:"Joaquim",middleName:null,surname:"De Moura",slug:"joaquim-de-moura",fullName:"Joaquim De Moura",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/242893/images/7133_n.jpg",biography:"Joaquim de Moura received his degree in Computer Engineering in 2014 from the University of A Coruña (Spain). In 2016, he received his M.Sc degree in Computer Engineering from the same university. He is currently pursuing his Ph.D degree in Computer Science in a collaborative project between ophthalmology centers in Galicia and the University of A Coruña. His research interests include computer vision, machine learning algorithms and analysis and medical imaging processing of various kinds.",institutionString:null,institution:{name:"University of A Coruña",country:{name:"Spain"}}},{id:"267434",title:"Dr.",name:"Rohit",middleName:null,surname:"Raja",slug:"rohit-raja",fullName:"Rohit Raja",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRZkkQAG/Profile_Picture_2022-05-09T12:55:18.jpg",biography:null,institutionString:null,institution:null},{id:"294334",title:"B.Sc.",name:"Marc",middleName:null,surname:"Bruggeman",slug:"marc-bruggeman",fullName:"Marc Bruggeman",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/294334/images/8242_n.jpg",biography:"Chemical engineer graduate, with a passion for material science and specific interest in polymers - their near infinite applications intrigue me. \n\nI plan to continue my scientific career in the field of polymeric biomaterials as I am fascinated by intelligent, bioactive and biomimetic materials for use in both consumer and medical applications.",institutionString:null,institution:null},{id:"244950",title:"Dr.",name:"Salvatore",middleName:null,surname:"Di Lauro",slug:"salvatore-di-lauro",fullName:"Salvatore Di Lauro",position:null,profilePictureURL:"https://intech-files.s3.amazonaws.com/0030O00002bSF1HQAW/ProfilePicture%202021-12-20%2014%3A54%3A14.482",biography:"Name:\n\tSALVATORE DI LAURO\nAddress:\n\tHospital Clínico Universitario Valladolid\nAvda Ramón y Cajal 3\n47005, Valladolid\nSpain\nPhone number: \nFax\nE-mail:\n\t+34 983420000 ext 292\n+34 983420084\nsadilauro@live.it\nDate and place of Birth:\nID Number\nMedical Licence \nLanguages\t09-05-1985. Villaricca (Italy)\n\nY1281863H\n474707061\nItalian (native language)\nSpanish (read, written, spoken)\nEnglish (read, written, spoken)\nPortuguese (read, spoken)\nFrench (read)\n\t\t\nCurrent position (title and company)\tDate (Year)\nVitreo-Retinal consultant in ophthalmology. Hospital Clinico Universitario Valladolid. Sacyl. National Health System.\nVitreo-Retinal consultant in ophthalmology. Instituto Oftalmologico Recoletas. Red Hospitalaria Recoletas. Private practise.\t2017-today\n\n2019-today\n\t\n\t\nEducation (High school, university and postgraduate training > 3 months)\tDate (Year)\nDegree in Medicine and Surgery. University of Neaples 'Federico II”\nResident in Opthalmology. Hospital Clinico Universitario Valladolid\nMaster in Vitreo-Retina. IOBA. University of Valladolid\nFellow of the European Board of Ophthalmology. Paris\nMaster in Research in Ophthalmology. University of Valladolid\t2003-2009\n2012-2016\n2016-2017\n2016\n2012-2013\n\t\nEmployments (company and positions)\tDate (Year)\nResident in Ophthalmology. Hospital Clinico Universitario Valladolid. Sacyl.\nFellow in Vitreo-Retina. IOBA. University of Valladolid\nVitreo-Retinal consultant in ophthalmology. Hospital Clinico Universitario Valladolid. Sacyl. National Health System.\nVitreo-Retinal consultant in ophthalmology. Instituto Oftalmologico Recoletas. Red Hospitalaria Recoletas. \n\t2012-2016\n2016-2017\n2017-today\n\n2019-Today\n\n\n\t\nClinical Research Experience (tasks and role)\tDate (Year)\nAssociated investigator\n\n' FIS PI20/00740: DESARROLLO DE UNA CALCULADORA DE RIESGO DE\nAPARICION DE RETINOPATIA DIABETICA BASADA EN TECNICAS DE IMAGEN MULTIMODAL EN PACIENTES DIABETICOS TIPO 1. Grant by: Ministerio de Ciencia e Innovacion \n\n' (BIO/VA23/14) Estudio clínico multicéntrico y prospectivo para validar dos\nbiomarcadores ubicados en los genes p53 y MDM2 en la predicción de los resultados funcionales de la cirugía del desprendimiento de retina regmatógeno. Grant by: Gerencia Regional de Salud de la Junta de Castilla y León.\n' Estudio multicéntrico, aleatorizado, con enmascaramiento doble, en 2 grupos\nparalelos y de 52 semanas de duración para comparar la eficacia, seguridad e inmunogenicidad de SOK583A1 respecto a Eylea® en pacientes con degeneración macular neovascular asociada a la edad' (CSOK583A12301; N.EUDRA: 2019-004838-41; FASE III). Grant by Hexal AG\n\n' Estudio de fase III, aleatorizado, doble ciego, con grupos paralelos, multicéntrico para comparar la eficacia y la seguridad de QL1205 frente a Lucentis® en pacientes con degeneración macular neovascular asociada a la edad. (EUDRACT: 2018-004486-13). Grant by Qilu Pharmaceutical Co\n\n' Estudio NEUTON: Ensayo clinico en fase IV para evaluar la eficacia de aflibercept en pacientes Naive con Edema MacUlar secundario a Oclusion de Vena CenTral de la Retina (OVCR) en regimen de tratamientO iNdividualizado Treat and Extend (TAE)”, (2014-000975-21). Grant by Fundacion Retinaplus\n\n' Evaluación de la seguridad y bioactividad de anillos de tensión capsular en conejo. Proyecto Procusens. Grant by AJL, S.A.\n\n'Estudio epidemiológico, prospectivo, multicéntrico y abierto\\npara valorar la frecuencia de la conjuntivitis adenovírica diagnosticada mediante el test AdenoPlus®\\nTest en pacientes enfermos de conjuntivitis aguda”\\n. National, multicenter study. Grant by: NICOX.\n\nEuropean multicentric trial: 'Evaluation of clinical outcomes following the use of Systane Hydration in patients with dry eye”. Study Phase 4. Grant by: Alcon Labs'\n\nVLPs Injection and Activation in a Rabbit Model of Uveal Melanoma. Grant by Aura Bioscience\n\nUpdating and characterization of a rabbit model of uveal melanoma. Grant by Aura Bioscience\n\nEnsayo clínico en fase IV para evaluar las variantes genéticas de la vía del VEGF como biomarcadores de eficacia del tratamiento con aflibercept en pacientes con degeneración macular asociada a la edad (DMAE) neovascular. Estudio BIOIMAGE. IMO-AFLI-2013-01\n\nEstudio In-Eye:Ensayo clínico en fase IV, abierto, aleatorizado, de 2 brazos,\nmulticçentrico y de 12 meses de duración, para evaluar la eficacia y seguridad de un régimen de PRN flexible individualizado de 'esperar y extender' versus un régimen PRN según criterios de estabilización mediante evaluaciones mensuales de inyecciones intravítreas de ranibizumab 0,5 mg en pacientes naive con neovascularización coriodea secunaria a la degeneración macular relacionada con la edad. CP: CRFB002AES03T\n\nTREND: Estudio Fase IIIb multicéntrico, randomizado, de 12 meses de\nseguimiento con evaluador de la agudeza visual enmascarado, para evaluar la eficacia y la seguridad de ranibizumab 0.5mg en un régimen de tratar y extender comparado con un régimen mensual, en pacientes con degeneración macular neovascular asociada a la edad. CP: CRFB002A2411 Código Eudra CT:\n2013-002626-23\n\n\n\nPublications\t\n\n2021\n\n\n\n\n2015\n\n\n\n\n2021\n\n\n\n\n\n2021\n\n\n\n\n2015\n\n\n\n\n2015\n\n\n2014\n\n\n\n\n2015-16\n\n\n\n2015\n\n\n2014\n\n\n2014\n\n\n\n\n2014\n\n\n\n\n\n\n\n2014\n\nJose Carlos Pastor; Jimena Rojas; Salvador Pastor-Idoate; Salvatore Di Lauro; Lucia Gonzalez-Buendia; Santiago Delgado-Tirado. Proliferative vitreoretinopathy: A new concept of disease pathogenesis and practical\nconsequences. Progress in Retinal and Eye Research. 51, pp. 125 - 155. 03/2016. DOI: 10.1016/j.preteyeres.2015.07.005\n\n\nLabrador-Velandia S; Alonso-Alonso ML; Di Lauro S; García-Gutierrez MT; Srivastava GK; Pastor JC; Fernandez-Bueno I. Mesenchymal stem cells provide paracrine neuroprotective resources that delay degeneration of co-cultured organotypic neuroretinal cultures.Experimental Eye Research. 185, 17/05/2019. DOI: 10.1016/j.exer.2019.05.011\n\nSalvatore Di Lauro; Maria Teresa Garcia Gutierrez; Ivan Fernandez Bueno. Quantification of pigment epithelium-derived factor (PEDF) in an ex vivo coculture of retinal pigment epithelium cells and neuroretina.\nJournal of Allbiosolution. 2019. ISSN 2605-3535\n\nSonia Labrador Velandia; Salvatore Di Lauro; Alonso-Alonso ML; Tabera Bartolomé S; Srivastava GK; Pastor JC; Fernandez-Bueno I. Biocompatibility of intravitreal injection of human mesenchymal stem cells in immunocompetent rabbits. Graefe's archive for clinical and experimental ophthalmology. 256 - 1, pp. 125 - 134. 01/2018. DOI: 10.1007/s00417-017-3842-3\n\n\nSalvatore Di Lauro, David Rodriguez-Crespo, Manuel J Gayoso, Maria T Garcia-Gutierrez, J Carlos Pastor, Girish K Srivastava, Ivan Fernandez-Bueno. A novel coculture model of porcine central neuroretina explants and retinal pigment epithelium cells. Molecular Vision. 2016 - 22, pp. 243 - 253. 01/2016.\n\nSalvatore Di Lauro. Classifications for Proliferative Vitreoretinopathy ({PVR}): An Analysis of Their Use in Publications over the Last 15 Years. Journal of Ophthalmology. 2016, pp. 1 - 6. 01/2016. DOI: 10.1155/2016/7807596\n\nSalvatore Di Lauro; Rosa Maria Coco; Rosa Maria Sanabria; Enrique Rodriguez de la Rua; Jose Carlos Pastor. Loss of Visual Acuity after Successful Surgery for Macula-On Rhegmatogenous Retinal Detachment in a Prospective Multicentre Study. Journal of Ophthalmology. 2015:821864, 2015. DOI: 10.1155/2015/821864\n\nIvan Fernandez-Bueno; Salvatore Di Lauro; Ivan Alvarez; Jose Carlos Lopez; Maria Teresa Garcia-Gutierrez; Itziar Fernandez; Eva Larra; Jose Carlos Pastor. Safety and Biocompatibility of a New High-Density Polyethylene-Based\nSpherical Integrated Porous Orbital Implant: An Experimental Study in Rabbits. Journal of Ophthalmology. 2015:904096, 2015. DOI: 10.1155/2015/904096\n\nPastor JC; Pastor-Idoate S; Rodríguez-Hernandez I; Rojas J; Fernandez I; Gonzalez-Buendia L; Di Lauro S; Gonzalez-Sarmiento R. Genetics of PVR and RD. Ophthalmologica. 232 - Suppl 1, pp. 28 - 29. 2014\n\nRodriguez-Crespo D; Di Lauro S; Singh AK; Garcia-Gutierrez MT; Garrosa M; Pastor JC; Fernandez-Bueno I; Srivastava GK. Triple-layered mixed co-culture model of RPE cells with neuroretina for evaluating the neuroprotective effects of adipose-MSCs. Cell Tissue Res. 358 - 3, pp. 705 - 716. 2014.\nDOI: 10.1007/s00441-014-1987-5\n\nCarlo De Werra; Salvatore Condurro; Salvatore Tramontano; Mario Perone; Ivana Donzelli; Salvatore Di Lauro; Massimo Di Giuseppe; Rosa Di Micco; Annalisa Pascariello; Antonio Pastore; Giorgio Diamantis; Giuseppe Galloro. Hydatid disease of the liver: thirty years of surgical experience.Chirurgia italiana. 59 - 5, pp. 611 - 636.\n(Italia): 2007. ISSN 0009-4773\n\nChapters in books\n\t\n' Salvador Pastor Idoate; Salvatore Di Lauro; Jose Carlos Pastor Jimeno. PVR: Pathogenesis, Histopathology and Classification. Proliferative Vitreoretinopathy with Small Gauge Vitrectomy. Springer, 2018. ISBN 978-3-319-78445-8\nDOI: 10.1007/978-3-319-78446-5_2. \n\n' Salvatore Di Lauro; Maria Isabel Lopez Galvez. Quistes vítreos en una mujer joven. Problemas diagnósticos en patología retinocoroidea. Sociedad Española de Retina-Vitreo. 2018.\n\n' Salvatore Di Lauro; Salvador Pastor Idoate; Jose Carlos Pastor Jimeno. iOCT in PVR management. OCT Applications in Opthalmology. pp. 1 - 8. INTECH, 2018. DOI: 10.5772/intechopen.78774.\n\n' Rosa Coco Martin; Salvatore Di Lauro; Salvador Pastor Idoate; Jose Carlos Pastor. amponadores, manipuladores y tinciones en la cirugía del traumatismo ocular.Trauma Ocular. Ponencia de la SEO 2018..\n\n' LOPEZ GALVEZ; DI LAURO; CRESPO. OCT angiografia y complicaciones retinianas de la diabetes. PONENCIA SEO 2021, CAPITULO 20. (España): 2021.\n\n' Múltiples desprendimientos neurosensoriales bilaterales en paciente joven. Enfermedades Degenerativas De Retina Y Coroides. SERV 04/2016. \n' González-Buendía L; Di Lauro S; Pastor-Idoate S; Pastor Jimeno JC. Vitreorretinopatía proliferante (VRP) e inflamación: LA INFLAMACIÓN in «INMUNOMODULADORES Y ANTIINFLAMATORIOS: MÁS ALLÁ DE LOS CORTICOIDES. 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