CT imaging of intracerebral hemorrhage.
\r\n\tThis book chapter’s main theme will be focused on transmission dynamics, pathogenesis, mechanisms of host interaction and response, epigenetics and markers, molecular diagnosis, RNA interacting proteins, RNA binding proteins, advanced development of tools for diagnosis, possible development of concepts for vaccines and anti drugs for RNA viruses, immunological mechanisms, treatment, prevention and control.
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Hemorrhagic stroke is responsible for 15% of all strokes occurring annually in the United States and has a high mortality rate of 29% [1]. About two-thirds of these strokes are intracerebral hemorrhage (ICH) and one-third are subarachnoid hemorrhage (SAH) for which neuroimaging forms the mainstay in diagnosis; as history, clinical symptoms and signs are often nonspecific but have resulted in improved treatment outcomes.
\nIntracranial hemorrhage is the accumulation of blood within the skull, the parenchyma and/or the meningeal spaces and/or other associated potential spaces (epidural and subdural). The term intracerebral hemorrhage refers to bleeding in the brain parenchyma (white or gray matter). The term subarachnoid hemorrhage is used for blood collection in the subarachnoid space (i.e., in the space between the pia and arachnoid meningeal layers). ICH is classified conventionally as primary or secondary, based on its causes, with primary ICH (80–85% of ICH) related to hypertension and amyloid angiopathy and secondary ICH having varied etiologies such as drugs, malformations, tumors, vasculitis, etc. [2]. This has given way to different systems of classification such as SMASH-U and lobar vs. deep.
\nOur chapter aims to:
\nExplain the various modalities which can be used in the detection of ICH with a brief description of their mechanism.
Provide advantages and disadvantages of each method.
Provide image descriptions of common findings in ICH with sample images.
Explain the modalities used in Detecting the etiology of ICH and complications with image findings.
List some common sequences in practice today.
Explain the expanded role of imaging from management to prognostication.
The goals of neuroimaging include:
\nThe main goal of neuroimaging in a patient with suspected cerebral hemorrhage is to find a modality with perfect sensitivity and specificity. Rapid and accurate identification of hemorrhage is critical in planning therapy.
\nDetecting intracerebral hemorrhage (ICH).
Detecting etiology.
Detecting tissue at risk.
Detecting complications such as vasospasm, mass effect, and herniation.
Detecting hemorrhagic complications in ischemic infarcts.
Assessing risk factors for hemorrhage.
Detecting resolution—monitoring and management.
Prognostication of recovery.
Assisting in research endeavors to advance both knowledge and treatment in ICH patients.
ICH is a medical Emergency, with rapid diagnosis and management being vital due to early and rapid hematoma expansion and clinical deterioration. This increases the mortality to as high as 75% in patients with pre-hospital neurological decline and results in worsened long term outcomes [3]. Since clinical features such as severe headache, high blood pressure, vomiting, loss of consciousness, and rapid progression cannot always be relied upon as being specific for hemorrhagic stroke, neuroimaging is mandatory.
\nRapid neuroimaging with noncontrast computed tomography (NCCT) or magnetic resonance imaging (MRI) is recommended to distinguish ischemic stroke from ICH [3]. Noncontrast CT (NCCT), perfusion CT, and CT angiography (CTA) are usually used in the hyperacute stroke setting. The imaging appearance of the ICH is closely linked to the physiological processes at play during and after the bleeding event.
\nBleeding into the cerebral parenchyma results in a hematoma consisting of proteins, serum, platelets, white blood cells, and red blood cells (with hemoglobin), and the concentration of the latter (relative to plasma) is responsible for the degree of attenuation of the X-ray beam. The varied components of the hematoma give it a heterogeneous appearance. The attenuation of blood with a normal hematocrit (45%) is much higher (56 Hounsfield units—HU) than gray matter (37–41 HU) and white matter (30–24 HU) resulting in the ‘brighter’ or ‘whiter’ region in patients with a normal hematocrit [4] (Table 1, Figure 1).
\nTime | \nProcess | \nCT | \n
---|---|---|
Immediately on extravasation | \nBleeding into parenchyma | \nHyperattenuated (brighter) lesion Heterogeneous due to varied cellular components | \n
Minutes | \nClot formation, serum extruded | \nIncreasing intensity, marked in the center of hematoma | \n
Hours–2 weeks | \nVasogenic edema surrounds bleed | \nHypoattenuated or “darker” appearance on CT scan images, surrounding the hematoma | \n
Hours | \nCellular debris settles in the gravity dependent part | \nFluid level (with hyperattenuated dependent portion) | \n
Days–weeks | \nClot breakdown by scavengers (macrophages) | \nDecrease in attenuation beginning at periphery toward the center | \n
2–3 weeks | \nResolution of clot | \nSame intensity as white matter | \n
Weeks-months | \nCavity: collapsed or filled with cerebrospinal fluid | \nSmall slit like cavity which may or may not be visualized | \n
Months | \nEncephalomalacia | \nHypointense (darker) area at lesion site | \n
CT imaging of intracerebral hemorrhage.
Immediate detection of hemorrhage using NCCT: the first image has yellow arrowheads pointing to hyper-dense areas representing sub-arachnoid bleeding in the basal cisterns. The second image has yellow arrowheads pointing to peri lesional edema around deep ICH (A) and lobar ICH (B). The third image shows Intraventricular hemorrhage (IVH) (yellow arrowhead) which is usually associated with or secondary to intra parenchymal bleeds (red arrowhead).
At the immediate onset of the bleed, (hyperacute phase) the blood has a similar attenuation as that of the cortex and is hard to distinguish. However, within minutes after a clot forms (platelet clumps, and proteins are consumed), the degree of attenuation increases and continues to increase over the hours as the clot retracts and extrudes serum, seen markedly in the center of the hematoma.
\nWithin hours, the hematoma is surrounded by vasogenic edema which may last up to 2 weeks. Vasogenic edema is the extravasation of fluid and proteins into the extracellular spaces, due to the loss of integrity of the blood brain barrier and hence has a hypoattenuated or “darker” appearance on CT scan images, surrounding the hematoma.
\nIn a large bleed, a fluid level may be visualized on imaging within hours of onset as the cellular debris collects in the more gravity-dependent portion, giving that area a higher attenuation.
\nThe breakdown of the clot by natural scavengers such as macrophages continues over several days and results in a decrease in attenuation beginning at the periphery and working its way toward the center, gradually over a period of 4–9 days having the same attenuation as cortical gray matter and eventually after 2–3 weeks, having a similar attenuation as white matter.
\nThis explains the difficulty in using CT scan to detect subacute hemorrhages due to similar appearance (iso-attenuation) with the parenchyma, and it is often scarce or difficult to distinguish mass effect and edema, which is fortunately obviated by the use of MRI.
\nThe hematoma is eventually resolved into a small or slit like fluid filled cavity which may or may not be appreciated on CT scan. Eventually the only evidence of the hemorrhage may be encephalomalacia (hypointense or ‘darker’ appearance) at the location.
\nThe use of contrast material with CT scan, usually performed nonemergently for reasons other than initial detection does not usually show enhancement although it may develop after weeks or months at the periphery of the resolving hematoma, which may make it hard to distinguish it from tumors or abscesses [5].
\nContrast extravasation within the hematoma is used to identify patients at risk for hematoma expansion, which is commonly referred to as the “Spot Sign,” which is used as a predictor of poor neurological outcomes. This can be used to institute prothrombotic therapies such as Factor VII and increased surveillance to avoid poor outcomes. CTA performed within 96 hours of the event has >95% sensitivity and specificity in identifying vascular malformations. However, this must be balanced with the severe contrast associated complications such as allergy and nephropathy as well as possible effects on the blood brain barrier.
\nNCCT is used to quantify hematoma volume and monitor its evolution. ICH volume is calculated using the ABC/2 method. A = greatest hemorrhage diameter, B = diameter at 90° to A, and C = approximate number of CT slices with hemorrhage multiplied by slice thickness. This method however has been shown to have a large margin of error especially for irregularly shaped bleeds (by an excess of 7.33 cm3 when compared to manual planimetric method [6].
\nThe MRI appearance of ICH is based on the evolution of the hematoma over time (as explained above for CT) and the corresponding signal characteristics. The MR signal characteristics in turn are dependent mainly on the chemical state of the iron molecules in hemoglobin as well as the state of the red blood cell membrane (Table 2, Figure 2).
\nTime | \nProcess | \nState of iron | \nState of membrane | \nT1 effect | \nT2 effect | \nT1 weighted images | \nT2 weighted images | \n
---|---|---|---|---|---|---|---|
Immediate -hours | \nBleeding into parenchyma | \nOxygenated (diamagnetic iron) | \nIntact | \nnone | \nNo susceptibility effect | \nHypo- or isointense | \nMildly hyper- or iso intense | \n
\n | Deoxygenation at periphery begins | \nDeoxygenated at periphery (paramagnetic iron) | \nIntact | \nNone | \nSusceptibility effect + | \nNo change | \nHypointense rim at periphery | \n
Hours–days | \nDeoxygenation from the outside in | \nDeoxygenated (paramagnetic iron) | \nIntact | \nNone | \nSusceptibility effect + | \nHypo- or isointense | \nHypointense lesion | \n
\n | Oxidation of iron at periphery | \nMet-hemoglobin at periphery | \nIntact | \nDecrease in T1 relaxation | \nNone | \nMild hyperintensity at periphery | \nNone | \n
Days-weeks (usually 1 week) | \nOxidation of iron to ferric state | \nMet-hemoglobin | \nIntact | \nDecrease in T1 relaxation | \nSusceptibility effect + | \nHyperintense lesion | \nHypointense lesion | \n
Week-months | \nOxidation of iron to ferric state | \nMet-hemoglobin | \nDegraded | \nDecrease in T1 relaxation | \nNo susceptibility effect | \nHyperintense lesion | \nHyperintense lesion | \n
Several months | \nProtein breakdown | \nBy-products | \nDegraded | \nReduced signal intensity | \nReduced signal intensity | \nDecreased hyperintensity | \nDecreased hyperintensity | \n
\n | Iron deposited as hemosiderin at rim | \nHemosiderin | \nCompartmentalized in molecule | \nNone | \nSusceptibility effect + | \nIsoattenuation. | \nHypointense rim | \n
\n | CSF-filled cavity or slit-like cavity | \n— | \n— | \n\n | \n | Hypointense fluid-filled or slit-like cavity | \nHyperintense fluid-filled or slit-like cavity | \n
MR imaging of intracerebral hemorrhage.
• CSF = cerebrospinal fluid.
MR appearance of ICH: (Top) MRI shows a focal left parietal para sagittal bleed with low signal intensity (yellow arrowhead) on T2*GRE (image C), T1 and T2 (A & B) show a bright hyper-intensity (red arrowhead) due to Meth Hb, a blood degradation product indicating a sub-acute bleed. (Bottom) MRI showing sub-acute hematoma with restricted diffusion.
Iron within an intact red cell membrane causes shortened T2 relaxation times known as Susceptibility effect (which is lost when the membrane degrades and the hemoglobin/iron is no longer sequestered in the cell). Paramagnetic iron has a greater shortening effect on T1 relaxation times. Diamagnetic iron is an iron molecule with no unpaired electron in its outer orbit and has no exaggerated T1 or susceptibility effects.
\nAt the immediate hyperacute phase, (upon bleeding into the parenchyma) iron is still saturated with oxygen (diamagnetic) and cell membranes are intact. Hence, the hematoma produces slight hypointensity (‘darker’) or iso-intensity (‘same’) on T1 weighted images and iso- or slightly hyperintense (‘brighter’) on T2 weighted images. This makes it hard to distinguish a hematoma at the extreme initial stages; however, as hemoglobin gets deoxygenated rapidly toward the periphery of the lesion, it produces a T2 hypointensity at the periphery (a dark rim), which helps detection in the hyperacute phase.
\nWithin hours of the bleeding event, hemoglobin is deoxygenated within intact cell membranes, from the periphery to the center of the lesion which is paramagnetic. This causes a Susceptibility effect, which is hypointensity (‘darker’) on T2. However, this structure of hemoglobin does not allow any effect on T1 images, which show a hard to distinguish iso-(‘same’) or slight hypo (‘darker’) lesion. At times, there is a peripheral rim of T1 hyperintensity due to early oxidation of hemoglobin into met-hemoglobin.
\nThis phase begins after several days with the onset hemoglobin degradation. Due to the lack of energy in the cells, the iron is oxidized into the ferric state, which produces met-hemoglobin. This structure of iron atoms causes a decrease in the T1 relaxation times which is captured as a marked hyperintensity (‘brighter’) on T1 weighted images. Since the red cell membranes are intact, Susceptibility effect is in play causing a hypo (‘darker’) appearance on T2 weighted images.
\nLater on in the subacute phase (over days to weeks), the red cell membranes are degraded; hence the susceptibility effect is lost. This results in a T2 lengthening, which is seen as a hyperintensity (‘brighter’) on T2 weighted images.
\nOver the course of weeks to months, the resolution process results in protein (met-hemoglobin) breakdown, which reduces the signal hyperintensity on both T1 and T2 weighted images. The iron atoms released in this process are picked up by macrophages and converted to ferritin for reuse elsewhere. However, the scavenging capacity of the macrophages is often overwhelmed especially in larger hematomas, which results in locally deposited hemosiderin molecules usually at the periphery. The structure of iron in hemosiderin exerts only a Susceptibility effect which is a hypointense (‘darker’) rim on T2 weighted images. The center of the hematoma may resolve into a cavity, usually filled with cerebrospinal fluid with the corresponding signal characteristics (‘darker’ on T1 weighted imaging and ‘brighter’ on T2 weighted imaging) or may collapse and be visualized as a narrow slit.
\nWhile the pathological processes usually follow a sequence with corresponding sequential imaging changes, these processes are also highly variable and dependent on a large number of factors such as size, presence of rebleed, oxygen tension, other concurrent conditions etc. Hence several stages of the hematoma may appear simultaneously on imaging which increases the complexity of determining the time of bleed.
\nMR is also a tool in neuroimaging to distinguish between a primary bleed and a hemorrhagic transformation, since area of the bleed is usually lesser than area of the infarct, and MR provides imaging of both. The shape (rounder) and larger edema around the bleed is another pointer toward primary ICH. Hematomas do not follow vascular territories but infarcts do and the occlusion is often visible on MR angiography.
\nMR is also one of the best diagnostic tools for secondary causes of hemorrhage, such as vascular anomalies, tumors, and cerebral venous thrombosis (comparable to conventional angiography) and is the choice of modality for cavernomas. It has a high diagnostic yield for etiologies especially in young nonhypertensive patients with lobar bleeds.
\nMR protocols in stroke include T1, T2, T2* or GRE, fluid attenuated inversion recovery (FLAIR), contrast enhanced, diffusion weighted & perfusion weighted images, and MR angiography. Since the radiological appearance of the hematoma depends on both the hematoma and the MR signal characteristics, the latter can be varied to allow easier identification of hemorrhage. This is crucial as MRI shows minor and hard to appreciate changes in the hyperacute and early-acute phases of ICH. By increasing the magnetic field, the susceptibility effect is increased, allowing easier and more rapid diagnosis. Sequences available commonly in clinical practice include fast spin echo (FSE), which due to a weaker magnetic field has less sensitivity to susceptibility effects (responsible for much of the lesion imaging) and is hence suboptimal initially in ICH detection. Using sequences such as gradient recalled echo (GRE) and echo planar imaging (EPI) increases the sensitivity to susceptibility effect.
\nGradient recalled echo sequences (or T2* weighted sequence) increases the hematoma detection in both acute and chronic stages. The strong Susceptibility effect results in extremely hypointense areas of hemorrhage on imaging (Figure 3).
\nGradient recalled echo. T2* GRE MRI sequence has high sensitivity in detecting cerebral microbleeds, which appear as small punctate (dot-like) hypointense lesions widespread in bilateral cerebral cortical white matter, basal ganglia, thalami, cerebellum, as well as brain stem and are histologically characterized by hemosiderin deposits with tissue damage.
An advantage of GRE is that it can exclusively identify hemosiderin deposits from old and asymptomatic hemorrhages often referred to as microbleeds. A large number of microbleeds point to an etiology such as amyloid angiopathy or recurrent hypertensive vasculopathy. Since 80% of the hemosiderin deposits persist through a lifetime, it provides a snapshot of the hemorrhages across the patient\'s life span. These microbleeds are used as predictors of future ICH and a marker for small vessel disease especially in the basal ganglia region. The disadvantage in this sequence is occasionally the lesion size, which is inaccurate due to artifacts causing signal loss at the boundary of the lesions. Sinuses present in the skull enhance this signal loss and may not allow accurate identification of hemorrhagic lesions behind them [5].
\nCertain clinical and radiological findings necessitate a conventional catheter angiogram, such as atypical configuration or location, excessive edema, evidence of masses or no obvious cause of bleeding; all of which necessitate pinpointing a secondary cause. The diagnostic yield of a conventional angiogram is high especially in younger patients with no hypertension. Often times, the vascular anomaly reveals itself over the course of time (upon resolution) and hence a follow up angiogram is recommended even after a prior workup reveals no abnormality. However, significant disadvantages of conventional angiography that include extremely high (5× more than CTA) radiation, cost, invasiveness, patient cooperation, and clinical stability as well as transient and permanent neurological deficits preclude its widespread use, giving preference to CT and MR angiography but remain the gold standard for aneurysms and arteriovenous malformations.
\nAn important step in the management of patients with ICH is determining the etiology and taking measures to correct and prevent further and future episodes of ICH. While medical history and demographics may help pinpoint a cause for the ICH, neuroimaging has a large role to play in this sphere.
\nNeuroimaging can provide a clue to etiology of the ICH based on the
Each
Hemorrhage in the brainstem (usually the pons) is usually associated with hypertension, vascular malformations (arteriovenous and cavernous).
\nCerebellar hemorrhage is associated with hypertension, arteriovenous malformations, and the use of anticoagulants such as warfarin, with amyloid angiopathy being extremely rare.
\nIntraventricular hemorrhage (primarily intraventricular without involvement of the brain parenchyma) is associated with hypertension, aneurysm of the anterior communicating artery, vascular malformations, coagulopathy, and intraventricular tumors.
\nHemorrhage at multiple sites is usually indicative of coagulation disorders, vasculitis, hypertension, tumors, and infarction.
\nRupture of a saccular aneurysm may involve the parenchyma as well as the subarachnoid space, due to the pressure of the blood as it ruptures and its location (medial frontal lobe due to anterior cerebral or communicating artery aneurysm). Presence of ICH near the subarachnoid space near the base of the skull should prompt vascular imaging studies to rule out saccular aneurysms.
\nCommon causes of ICH have distinctive
Arteriovenous malformations can often be suspected on conventional MRI and CT (T2 and MR and CT angiography) sequences by detecting dilated vessels to and from the malformation and at times patchy enhancement but are often times undetectable or silent. The presence of “popcorn” appearance of lesions on T2 weighted images suggests the presence of multiple small bleeds occurring at different time points in the same lesion such as a cavernous malformation. Presence of multiple micro- or larger bleeds on GRE sequence is also suggestive of a vascular anomaly as an etiology. The diagnosis of these malformations generally requires conventional angiography for confirmation.
\nHemorrhagic transformation of an infarct is suggested by the surrounding cytotoxic edema which follows the arterial boundaries unless the hemorrhage is severe and early enough to blur the infarct visualization (Figure 4).
\nHemorrhagic transformation. Hemorrhagic transformation of an ischemic infarct evident on MRI. A: T2 GRE showing areas of hypointensity (yellow arrowheads) corresponding to hemorrhage. B: FLAIR sequence showing the edema associated with bleed (red arrowhead).
Several neoplasms in the brain have a known propensity to bleed such as glioblastoma multiforme, and metastases of melanoma, lung cancer, renal cell cancer, etc. The imaging characteristics are variable due to the presence of often multiple hemorrhages at different time points and concurrent necrosis and cysts. Due to the low oxygen partial pressure in the tumor, MR signal changes are usually delayed. The location may be atypical for other common causes. The vasogenic edema present around a tumor is usually extensive and lasts longer as compared to primary ICH. Giving contrast almost always shows robust enhancement. A large hemorrhage may obscure the underlying lesion which may be visible on repeat imaging after its resolution [5].
\nComplications of ICH include hematoma expansion, perilesional edema with increased intracranial pressure, and intraventricular extension of hemorrhage with hydrocephalus, seizures, venous thrombosis, hyperglycemia, autonomic fluctuations, and infections. Close monitoring is required for the prevention of these complications, and/or early detection and management, to reduce negative outcomes, the most emergent being mass effect resulting in herniation (Figure 5).
\nDetecting complications. Left sided frontal lobe bleed showing perilesional edema (yellow arrowheads), mass effect (green arrowheads) and midline shift (green arrowheads).
Since vasospasm in SAH (and uncommonly in ICH with intraventricular extension) is a known risk factor from day 3 to day 12, transcranial Doppler is used prophylactically for its screening, with variable results as compared to conventional angiography [8]. CTA is also used for this purpose, with high sensitivity and specificity for severe spasms and in proximal vessels but reduced accuracy for distal vessels and mild spasms [9]. Irrespective of vasospasm, neuroimaging for ischemia can be performed using CT or MR perfusion studies or diffusion weighted MRI. CT perfusion studies show great prediction of vasospasm as compared to conventional angiogram [10] and studies exploring blood brain barrier permeability to guide future treatments using CTP are underway [11].
\nSize of the ventricles measured on CT and MR is variable and is not accurate to diagnose hydrocephalus, although serial changes in size on the same patient is more relevant toward detection. Periventricular edema seen with transependymal flow is a marker of hydrocephalus, better seen on MR than CT [12].
\nThe initial volume of the hematoma assessed by various methods on neuroimaging, commonly the ABC/2 method, the presence of intraventricular blood, as well as the expansion of the hematoma indicated by the ‘spot sign’ are independent markers for clinical outcomes and mortality [2, 13, 14] (Table 3, Figure 6).
\n\n | Advantage | \nDisadvantages | \n
---|---|---|
Availability | \nFaster, cheaper, widely available. | \n\n |
Contraindication | \nCan be performed in patients with contraindications to MRI. | \nContrast allergy and impaired renal function (for contrast administration). | \n
Side effects | \n\n | High dose of radiation, contrast associated side effects: allergy, nephropathy and variable effects on blood brain barrier permeability and cytotoxic edema. | \n
Imaging: detection of blood | \nDue to the differential attenuation of blood (proportional to the protein concentration in blood) vs. gray and white matter, blood in the parenchyma is detected immediately. | \nSince imaging is based on protein concentration; detection difficult anemic patients (hemoglobin <10 g/dl). Patients with higher hematocrit such as infants will show abnormal density in vessels. | \n
Imaging: location | \n\n | Bleeds in brainstem can be obscured by artifact. Flattened and thin blood collections (such as subarachnoid) are hard to visualize. | \n
Imaging characteristics | \n\n | Differential diagnosis of hemorrhagic tumor vs. infarct is difficult. Ring enhancement of the blood seen 1–6 weeks after the bleed is hard to differentiate from other ring enhancing lesions. Age estimation of hematoma is not as accurate. | \n
Immediate detection of hemorrhage | \nGold standard noncontrast CT. | \n\n |
Detecting perfusion deficits | \nCT angiography and CT perfusion imaging can be used to detect ischemia, and vasospasm. | \n\n |
Detecting hemorrhagic conversion of infarcts | \nBleeding detected immediately. | \n\n |
Detecting chronic micro-bleeds | \n\n | Not ideal. | \n
Detecting etiology | \nCTA performed less than 96 h from onset are highly sensitive and specific for vascular malformations. | \n\n |
Availability | \n\n | Not as fast/cheap or widely available. | \n
Contraindication | \n\n | Several; including pacemakers, metallic implants and claustrophobia. | \n
Side effects | \nNo radiation. | \nNephrogenic systemic fibrosis associated with gadolinium. | \n
Imaging: detection of blood | \nMRI is sensitive to flow abnormalities in vessels and is ideal for detecting vascular malformations. | \nImmediate bleeding is isointense but due to rapid deoxygenation of hemoglobin at periphery, shows hypointense periphery ion T2 and GRE. | \n
Imaging: location | \nAccurate at detecting exact location of hemorrhage. | \n\n |
Imaging characteristics | \nAge estimation of hematoma is possible due to the differential magnetic properties of the different oxidation states of iron. | \n\n |
Immediate detection of hemorrhage | \nMRI is sensitive if not more than CT in detecting acute ICH as per the HEME (Hemorrhage and Early MRI Evaluation) Study. | \nGold standard remains noncontrast CT. | \n
Detecting perfusion deficits | \nDWI/PWI mismatch. | \n\n |
Detecting hemorrhagic conversion of infarcts | \nIdeal for distinguishing primary ICH vs. hemorrhagic conversion and shows the details of ischemic area. | \n\n |
Detecting chronic micro-bleeds | \nMore accurate than CT (GRE sequence). Lifetime history of hemorrhages is possible. | \n\n |
Detecting etiology | \nMost sensitive and specific for detecting secondary causes such as vascular anomalies, venous thrombosis. | \n\n |
Advantages and disadvantages of CT and MRI in ICH imaging.
*GRE = gradient recalled echo, CTA = computed tomography angiography, DWI = diffusion weighted imaging, PWI = perfusion weighted imaging.
Sequencing protocol. Adapted with permission from Neuroradiologycases.com by Dr. Anvekar B. (Neuroradiology unit, S P Institute of Neurosciences, Solapur, India).
The risk of hemorrhage after ischemic lesions, notably after TPA administration, can be predicted by increased diffusion weighted imaging (DWI) lesion volumes, lower apparent diffusion coefficients, as well as decreased cerebral blood volume estimated using perfusion weighted imaging, the combination of the latter with DWI allowing one to identify infarcts with the colloquially termed ‘malignant profile’ for post thrombolytics bleeds. However, due to the time constraint of TPA administration which may not permit the above tools, CT perfusion imaging is being studied to predict similar hemorrhagic risk post thrombolysis based on the blood brain barrier permeability [15].
\nUsing neuroimaging to correlate risk factors and measurable tissue states could allow greater precision in risk assessment. This could be utilized to predict the occurrence of ICH in patients of cerebral amyloid angiopathy (CAA) using PET and diffusion tensor imaging (DTI) [15].
\nWhile CT and MR provide the structural evidence of changes post ICH, aspects of brain function such as metabolism and absorption available through functional brain imaging may provide more granular details necessary to study the extent of injury and repair/recovery and may provide a new avenue to detect tissue at risk of hemorrhage.
\nDTI can be used to detect disturbances to the integrity and fiber counts of white matter tract, often damaged in ICH. Reduced fractional anisotropy or fiber counts may suggest worsened outcomes [15]. DTI can be used to predict motor recovery, as patients with preserved tracts on DTI at the time of lesion have shown greater recovery than their counterparts with compromised tracts [16] with similar studies being carried out using fractional anisotropy. A significant finding being that fractional anisotropy ratio did not correlate to size of the bleed but did correlate with recovery [17], which could serve as an important tool for the prediction of recovery post ICH. The predictive value of these studies has shown to be higher when carried out subacutely (2 weeks) rather than acutely (3 days) after the bleed which may be accounted for by the resolution of acute injury and inflammation and onset of repair and compensation [18].
\nFunctional MRI (fMRI) is being evaluated as a means to evaluate the extent of injury and functional deficit post ICH based on functional connectivity rather than just a structural basis, with fMRI possibly evaluating the activity between physical and functional connections. Studies have pointed to the subcortical origin of redistribution of functional connection when cortical motor tracts are damaged [19]. This expands the possibilities to create a precise model to predict recovery post ICH.
\nSeveral newer imaging technologies such as CT and MR perfusion, positron emission tomography (PET), single photon emission computed tomography (SPECT) are used to study tissue injury such as perfusion deficits around the hematoma. Studies using PET have shown that this hypoperfusion does not result in hypoxia and ischemia, thus is not frankly ischemic in origin but likely to be due to secondary metabolic failure [20]. Diffusion tensor imaging (DTI), used to visualize white matter tracts is being used and studied for prognostication on motor recovery by assessing the integrity of major motor pathways such as the corticospinal tract [16, 21]. Newer technological advances in CT include dynamic angiography (4-dimensional CT angiography) which allows a detailed and comprehensive visualization of the intra and extra cranial vasculature and perfusion using a 320-row setup [22]. Magnetic induction tomography is being studied to measure tissue conductivity noninvasively, allowing identification of pathological changes and identification of extremely minute blood volumes [23]. Further exploration is underway to expand the mandate of neuroimaging, allowing image guided therapy at specific time points, using imaging biomarkers to assess edema, inflammation, and excitotoxicity.
\nNeuroimaging is a constantly evolving field to optimize the management, and prognostication after intracerebral hemorrhage and to advance research efforts. There are several choices available for neuroimaging in patients of ICH and familiarizing oneself with the techniques, indications, and disadvantages of each method allows the development of a rational imaging plan. Several advances have been made in the image sequencing protocols to optimize detecting, diagnosing, and selecting candidates for intervention and other therapies. Advances in this field such as diffusion tensor imaging and functional MRI are being studied for their impact in understanding the extent of injury and possible recovery mechanisms possibly allowing precise prognostication for patients. The mandate of neuroimaging is ever expanding with the ultimate goal of discovering tools that remain sensitive, specific, safe, rapid, and widely available, which allows optimized prognosis, prevention, and management for the best possible patient outcomes.
\nPlanet Earth is a highly complex and truly unique celestial body, fine-tuned to sustain life within a very narrow range of tolerances [1, 2]. Within this narrow band of environmental parameters, our civilization emerged over the past several thousand years. As we discovered ways in which to harness the energy stored within our planet, from burning wood, to coal, to petroleum products, we began to increasingly change the environment we live in [3, 4]. The resultant slow but persistent climate change (CC) is beginning to manifest itself across multiple domains of human existence, from rising sea levels, to wind disasters and forest fires, to the emergence of new invasive species [5, 6, 7, 8]. This chapter will discuss the impact of CC on various domains of human health and well-being, with specific focus on their relationship to international health security (IHS). Given the vastness of this important topic area, our goal will be to provide an overview of the most pressing issues and most relevant subdomains (Figure 1). However, it is simply not feasible to cover this entire subject within a single book chapter, thus limiting the current manuscript to a bullet-point synopsis.
\nWord cloud demonstrating the most common and dominant themes within this chapter. The highly complex nature of the issue of climate change and its relationship to human health is clearly evident.
The current study constitutes a systematic review of the literature regarding the impact of climate change on human health and well-being. Relevant sources were identified using an exhaustive search strategy utilizing Google™ Scholar, PubMed, EBSCO, Bioline International, as well as any relevant cross-referenced articles and websites. Specific search terms included “climate change,” “global warming,” “invasive species,” “emerging infectious diseases,” “public health,” “food security,” “sea level change,” “quality of life,” and “vector-borne diseases.” A total of 17,194,311 search results were subsequently narrowed down to 1,247 interdisciplinary full-text, English language articles directly relevant to our discussion. Further screening demonstrated 479 articles that directly address questions related to the interaction between climate change and human health and wellness. Of those, a final list of 266 definitive sources was derived.
\nThe effects of air pollution on public health have become increasingly acute, heterogeneous, complex, and unpredictable [9, 10, 11, 12]. In recent years, natural disasters such as wildfires and non-natural disasters such as human-made pollution have caused fundamental changes in air quality, leading to special measures and precautions deemed necessary to protect populations from air pollutants [13, 14]. Various effects of air pollution, both in the indoor and outdoor setting, on health include but are not limited to: asthma, chronic obstructive pulmonary disease (COPD), cardiovascular diseases, and an array of pulmonary malignancies [15, 16, 17, 18]. Although naturally evolving changes in climate and temperature have some effect on air quality, direct human contribution to air pollution may play and even greater role [19, 20]. For example, humans are thought to be responsible for approximately 95% of all wildfires in California and in Mediterranean Europe [21, 22]. Wildfires diminish air quality by scorching thousands of acres of land – creating arid, dry, desert like soil, and a deterring vegetative and agricultural growth. Wildfires are only one example of many human activities that contribute to poor air quality [7, 23].
\nThe continued growth of industrial activity, both in the United States and globally, has contributed to a sharp increase in air pollution, especially among the urban areas [24, 25]. This was accompanied by the general decline in measured air quality around the globe [26, 27]. Nowadays, air quality indexes are common in daily weather reporting, in addition to weather alerts for air quality standards [28, 29]. Despite the successful deployment of these largely descriptive and informative measures, much remains to be accomplished. For example, asthma amongst newborns and young children has increased sharply in the recent past [30].
\nNeville Island, PA is an inland island near Pittsburgh, PA where three major rivers meet, with at the apex of the city’s heaviest population density [31]. The island houses more than 50 corporate industrial sites, coal processing facilities, and oil company foundries. The pollutants from these companies are ingested and breathed by the nearby population of the Allegheny County. During awareness campaigns in 2003, Neville Island was said to pollute river water with as many as 13 toxic chemicals hazardous to human health, reportedly released each night after the closing of the factories. Notably, the island is located just upstream to the County’s major water treatment plant. Consequently, a broad range of pollutants (both airborne and non-airborne) find their way directly into the city water systems. Statistically, the County is among the highest in the nation for still births, childhood asthma, COPD, and pulmonary malignancy [31, 32, 33].
\nHistorically, governmental regulations pertaining to air pollution tended to represent a more reactive (versus proactive) approach [34, 35, 36]. This is not universal, however. For example, the State of California has instituted aggressive standards for vehicle emission regulations. As a result, over a 20-year period there was a 65% decrease in reactive organic gases, and a 54% decrease in oxides of nitrogen [37]. Of importance, these positive changes occurred despite a 22% growth in population and a 38% increase in overall motor vehicle usage throughout the state [23]. There was an associated sharp and well-defined decrease in air pollution related breathing disorders among children. This included favorable changes in terms of asthma and bronchitis, with significant (21%-39%) reductions. With strict and appropriately enforced regulatory standards, a significant decline in adverse consequences of air pollution can clearly be achieved [23].
\nStill, environmental regulations are still poorly defined and/or neglected in many areas globally. Under such circumstances, countries like China experience a significant number of adverse health effects of air pollution, to the point of the issue becoming one of the most serious national public health threats [38]. Coal-burning power generation is among the leading culprits of air pollution in China [39]. The magnitude of coal-related pollution in China can be appreciated from recent data showing that in 2010, there were more than 10 million tons of fine particles (e.g., diameter under 2.5 μm) released in the Beijing-Tianjin-Hebei region alone [40]. The impact of such massive air pollution on human health and health security (locally, regionally, nationally, and internationally) is truly difficult to grasp. Even more importantly, it has been estimated that the pollution from the approximately 200 coal-fired power plants in the capital region of Beijing-Tianjin-Hebei may be associated with nearly 10,000 premature deaths and approximately 70,000 outpatient visits or hospitalizations during a single calendar year [40, 41, 42]. Despite the need for urgent reform at the global level, governments have been slow to act, including the recent unilateral (and hopefully temporary) withdrawal of the United States from the Paris Climate Pact [43].
\nOne effect of global warming is an increase in allergens. Allergens can be associated with various respiratory diseases such as Asthma or allergic reactions such as hay fever. An increase in hay fever can be attributable to global temperature increases due to synergistic effects of atmospheric warming on the pollination season of plants [44]. The observed rise in the number of airborne allergens is directly proportional to the increase in pollen content of the air [45]. From human health perspective, it can be expected that allergic reactions, as well as their severity, may worsen over time. This may be further exacerbated by the declining air quality, both indoors and outdoors [46, 47].
\nThe decrease in air quality is compounded by other factors such as smoking, diesel fuel utilization, and the generation of nitrogen dioxide [48, 49, 50]. Temperature fluctuations also lead to mold formation and propagation [51]. This can further decrease air quality and can cause intense allergic response in some people [52, 53]. Some other common allergies include ragweed allergy causing hay fever and poison ivy causing contact dermatitis. Table 1 lists a set of common allergens. When an allergen enters the body, its presence leads to an immune response featuring the sensitization of mast cells [54, 55]. When the allergen enters the body repeatedly, it attaches to the specific antibodies on mast cells resulting in mast cell degranulation, which leads to the release of histamine and other inflammatory mediators [56, 57]. Associated symptoms may include commonly encountered reactions such as watery eyes, itching, sneezing, and nasal/sinus congestion. Pertinent to CC and global warming, it has been noted that patterns and distribution of common allergens typically present in different parts of the globe are changing [58]. The awareness and the ability to identify these patterns, coupled with modern mobile technology advances and point-of-care testing, will allow health-care providers to adequately prepare for the evolution and changing incidence of allergic reactions, especially in the context of preventive health measures and effective clinical management approaches [59, 60, 61].
\nType of Allergen | \nCommon Reaction to Allergen | \n
---|---|
Pollen | \nSeasonal allergies | \n
Spores | \nSeasonal allergies, fungal infections | \n
Dust mites | \nAsthma | \n
Animal dander | \nAllergies | \n
Drugs and insect venoms | \nAnaphylactic reaction | \n
List of allergens and common reactions to those allergens.
Another important aspect of the ongoing CC, and a source of indirect evidence for global warming, is the gradual evolution in disease vector distribution [8, 62]. An ‘infectious vector’ can be defined as any agent which carries and transmits an infectious pathogen into another living organism [63]. Many vector-borne diseases are characterized by a significant component of seasonality, and changing geographic distributions of vectors may significantly alter such seasonality [64, 65]. For example, higher rates of tick-borne diseases are seen during the spring to fall seasons in eastern North America [66, 67]. With gradual temperature changes throughout the globe, we are more likely to see a change in the patterns of incidence of tick-borne illnesses [66, 67]. Moreover, novel tick-borne diseases have been on the rise, such as those carried by the Asian long-horned tick which has been found in the western hemisphere only in the past decade [66, 68]. Increased globalization and changes in environment due to global warming have been thought to increase the amount of tick-borne infections.
\nSome of the most common disease vectors are ticks and mosquitos. A summary of areas of prevalence and seasonality of tick- and mosquito-borne diseases are listed in Tables 2 and 3. When they reach sufficient magnitude, changes in environmental conditions are likely to disrupt the life cycle of various disease vectors and potentially alter the transmission of the diseases in question, including their geographic and seasonal distribution [66, 113].
\nTick-Borne Illness | \nAreas of Prevalence | \nPredominant Months | \n
---|---|---|
Anaplasmosis [69] | \nUSA: NY, MN, CT, RI, MD | \nMay-October | \n
Babesiosis [70] | \nUSA: NY, NJ, MN, CT, MA, RI, WI | \nJune-August | \n
Colorado Tick Fever [71] | \nUSA: WY, MT, UT, OR, CO, ID | \nMay-July | \n
Crimean-Congo [72, 73] | \n52 countries throughout Africa, Asia, Eastern Europe, and the Middle East | \nSpring-Summer | \n
Ehrlichiosis [69] | \nUSA: MO, OK, TN, AR, MD | \nMay-September | \n
Heartland Virus [74, 75] | \nUSA: KS, OK, AR, MO, TN, KY, IN, GA, SC | \nMay-September | \n
Omsk Hemorrhagic Fever [76] | \nWestern Siberia | \nMay-June, August-September | \n
Powassan Disease [77] | \nUSA: MA, MN, NY, WI, NH, NJ, ME, ND, PA, TN, VT, VA, CT Canada: NB, QC, ON, NS, PE, AB, BC Russia: Primorsky Krai | \nMay-November | \n
Kyasanur Forest Disease [78] | \nIndia: Karnataka state and surrounding areas in the Western Ghats | \nJanuary-May | \n
Rocky Mountain Spotted Fever [79, 80] | \nUSA: Contiguous states, >60% cases from NC, OK, AR, TN, and MO Canada, Mexico, Brazil, Columbia, Costa Rica, and Panama | \nApril-September | \n
Other Spotted Fevers [81, 82, 83, 84]: | \n\n | \n |
African Tick-bite fever [81] | \nSub-Saharan Africa and West Indies | \nNovember-April | \n
Mediterranean spotted fever [82] | \nAfrica, India, southern Europe, Middle East, Mediterranean | \nJuly-September | \n
North Asian tick-borne rickettsiosis [83] | \nArmenia, central Asia, Siberia, Mongolia, China | \nApril-May | \n
Queensland tick Typhus [84] | \nAustralia | \nJune-November | \n
Tularemia [85, 86] | \nNorth America, central Asia, Russia, the Nordic countries, the Balkans, and Japan USA: All states except HI, 50% of cases from AR, OK, and MO | \nApril-October | \n
Tick-Borne illnesses categorized by geographic distribution and yearly time range, focusing on the correlates of the highest prevalence of disease. United States and Canada jurisdictions are denoted using accepted two letter postal abbreviations.
Mosquito-Borne Illness | \nAreas of Prevalence | \nPredominant Months | \n
---|---|---|
Plasmodium Malariae [87, 88] | \nAfrica and South Asia, Central and South America, the Caribbean, Southeast Asia, the Middle East, and Oceania | \nSeptember-December | \n
Dengue Virus [89, 90] | \nAmericas, Eastern Mediterranean, South East Asia, and Western Pacific | \nMarch-August | \n
Yellow Fever [91, 92] | \n47 countries throughout Africa (34) and Central and South America (13) | \nAfrica: July-October South America: January-May | \n
West Nile Virus [93, 94, 95] | \nCanada, USA-48 contiguous states, Europe, Africa, Middle East, Asia, India, Australia, Central America, Caribbean, South America | \nNorthern Areas: July-October Southern Areas: Early months of the year | \n
Zika Virus [8, 96, 97] | \nAfrica, South East Asia, Oceania, Pacific Islands, South America, Central America, Caribbean, USA | \nSporadic outbreaks Yap State: May 2007-June 2007 Pacific Islands: Late 2013- Early 2014 Americas 2015-2016: January 2016-July 2016 | \n
Bancroftian Filariasis [98] | \n72 countries throughout South East Asia, Sub-Saharan Africa, islands of Pacific, and selected areas in Latin America | \nSpring-Summer | \n
Jamestown Canyon Virus [99, 100] | \nCanada: NL, QC, ON, MB, SK, NT USA: CT(1), LA(1), ME(2), MA(7), MI(1), MS(1), MT(1), NH(3), NJ(1), NY(4), NC(1), OH(2), OR(1), RI(1), TN(2), >50% MN(26) and WI(66) | \nApril-September | \n
Rift Valley Fever [101, 102] | \nContinental Africa, Yemen, Saudi Arabia, Madagascar, Comoros Islands, Mayotte | \nOutbreaks occur after heavy, prolonged rainfall | \n
Chikungunya Virus [103, 104] | \nAfrica, Asia, Indian Subcontinent | \nNorthern Hemisphere: June–September Southern Hemisphere: October-March | \n
Eastern Equine Encephalitis Virus [105, 106] | \nUSA: AL (1), AR (1), CT (1), FL (13), GA (6), LA (2), ME (2), MD (1), MA (10), MI (7), MO (1), MT (1), NH (3), NJ (1), NY (8), NC (7), PA (1), RI (1), VT (2), VA (1), and WI (2) | \nApril-October | \n
Japanese Encephalitis Virus [107, 108, 109] | \nChina, Japan, North Korea, South Korea, Australia, India, Pakistan, Russia, Singapore, Cambodia, Indonesia, Laos, Myanmar, India, Nepal, Malaysia, Philippines, Sri Lanka, Thailand, and Vietnam. | \nMay-October | \n
La Crosse Encephalitis Virus [110, 111, 112] | \nUpper Midwestern, mid-Atlantic, and Southeastern states | \nApril-October | \n
Mosquito-Borne illnesses organized by geographic area and seasonal time range characterized by the highest prevalence of disease. United States and Canada jurisdictions are denoted using accepted two letter postal abbreviations.
Countries around the globe are actively working on prevention measures intended to curb incidence levels of various vector borne diseases [114, 115]. Examples of preventative methods include application of insecticide spray, installing insecticide screens, improving sanitation methods, genetic modification of vectors, as well as vector control through prophylactic treatment for travelers. Many countries are also intensifying awareness and education campaigns focusing on vector borne illness to help maintain prevention methods [114, 115, 116, 117].
\nGlobal CC exerts impact on rainfall, humidity, length of growing season, and other environmental factors that are vital to the development of certain crops [118, 119]. Shifting environmental factors, along with the emergence of biofuels, are pushing food producers to implement various techniques that increase the yield of the crops [120]. One such method involves treating crops with antibiotics. However, unintended consequences of longer growing seasons and higher crop yields have resulted in greater frequency and intensity of food- and water-borne illness (Table 4) [121, 122]. Another way of coping with CC in terms of international food security is the introduction of insect-based, microbial/fungal-based, and laboratory-based food substitutes [123, 124, 125, 126, 127, 128, 129].
\nInfection | \nSource of contaminant | \n
---|---|
Escherichia coli 0157:H7 | \nUndercooked beef | \n
Giardiasis | \nContaminated water | \n
Cryptosporidiosis | \nContaminated water | \n
Campylobacteriosis | \nUndercooked poultry | \n
Cyclosporiasis | \nContaminated water or food | \n
Listeriosis | \nUnpasteurized dairy products and deli meat | \n
Salmonellosis | \nUndercooked poultry | \n
Shigellosis | \nContaminated water | \n
Campylobacter | \nUndercooked poultry & other meats, contaminated water. | \n
toxoplasmosis | \nUndercooked pork, lamb, shellfish, and venison. | \n
Vibrio cholerae | \nBrackish and marine waters, or undercooked shellfish. | \n
Common food and water borne illnesses and their source of contamination.
Of note, salmonella and campylobacter infections tend to be more common when the climate is warmer [130]. Relevant to human consumption, these bacteria have been shown to have higher growth rates at warmer temperatures during food preparation and storage [131], which in turn corroborates one possible relationship between CC and emerging human disease patterns.
\nThe effect of CC on water borne diseases is equally important, yet it appears to be disproportionately neglected [132]. It is well known that precipitation can influence the transport and dissemination of infections, especially as it relates to existing water and sanitation systems [133]. More direct impact of the above can be seen during the increasingly more frequent coastal flooding as it relates to sea-level rise. Due to various factors, including human activity, water contamination exposes local populations to a variety of potential fecal-oral pathogens [134]. Indirect factors affecting the overall risk of water-borne infection propagation include changes in temperature and humidity, leading to alterations in pathogen lifecycle and survival, up to and including the creation of environments where new patterns of geographic disease spread emerge [135]. The effects of CC on water borne diseases, both indirect and direct, can be profound and unpredictable, mandating that dedicated scientific research efforts in this critically important area are increased.
\nBecause agriculture relies heavily on the presence of favorable environmental parameters, any uncertainty related to agricultural conditions places food security into a state of flux and thus creates a potential threat to food sustainability and security for humans [136, 137]. Threats to food security are vast, diverse, and have increased sharply during the past three decades. Issues affecting food security involve agricultural, industrial, and climate-related components (e.g., from natural disasters to heavy pollution) [138, 139]. Protein-based food products from animal derived sources may contain significant antibiotic residue because antibiotics are increasingly utilized to maintain product viability and longevity during transport and distribution [140, 141]. Downstream effects of using antimicrobials in animal feed include various patterns of antibiotic resistance seen in both animals and humans who ingest animal-based food products [121, 142, 143]. Consequently, we are increasingly seeing emerging antibiotic resistance patterns that render many of our available therapeutics ineffective, leading to excess mortality [144, 145, 146]. Moreover, antibiotics have also leaked into water and food chains, creating complex and challenging matrices for the detection of their source of origin, which is vital to effective disease control [147, 148]. The importance of this complex phenomenon, in addition to introducing excess risk into the food chain and endangering the overall food security, is the potential for synergistic interactions between CC, emerging novel pathogens, and often unpredictable patterns of antimicrobial resistance [149, 150, 151]. As such, the confluence of the above factors is projected to result in significant food shortages, on
Over the past several decades, floods have become a growing problem throughout the world [158, 159]. This has been especially problematic among low-lying areas of the planet, including large river deltas [160, 161, 162, 163, 164], and thought to be associated with rising sea levels [165, 166, 167]. It has been estimated that roughly 40-50% of environmental disasters are due to floods, and there is also a significant correlation between flooding and wind disasters [165, 166, 167, 168]. From IHS perspective, floods may lead to drinking water contamination and associated increases in water borne and diarrheal diseases [169, 170]. It is therefore vital that we understand how to address and prevent deleterious public health consequences associated with flooding, inclusive of additional focus on a plethora of downstream effects of flooding on human populations [171, 172, 173, 174].
\nIn addition to immediate loss of life and property, there is a noticeable increase in diarrheal diseases, and studies suggest that there may also be an increased risk of all-cause mortality during the year following a flooding event [175, 176]. This troubling trend can be further exacerbated when flooding occurs in the presence of human overcrowding [176]. Of importance in this particular context, when planning and preparing for natural disasters it is important to understand the ecosystem of communicable diseases within the region and understand the vectors that may come into play. Effective management of flooding and subsequent post-event recovery requires proper sanitation, clean water supply at shelters/temporary housing for displaced individuals, as well as adequate control of disease vectors (e.g., rodents, mosquitoes) [177, 178]. Consequently, preventing contamination of standing water with mosquitoes should be priority during a flooding event [179, 180]. Governments planning for natural calamities, including floods and wind disasters, should ensure that appropriate supplies of clean water and food are readily available to large number of individuals. At the same time, it is also important to educate individuals on the importance of proper food and water preparation, through boiling, during any natural disaster that may potentially affect water supply [181, 182, 183, 184].
\nRising global temperature affects public health in urban and rural communities across the world [185]. In recent years urban heat waves have become more severe, which has corresponded with an increase in heat-attributable deaths during times of extreme summer temperatures [186]. In rural communities, phenomena such as dust storms and crop failures, along with invasive insect infestations and invasions, have increasingly appeared [187, 188, 189, 190, 191, 192, 193]. To make things worse, CC also creates an environment more prone to wildfires, which are affecting rural communities with increased frequency, and are progressively more common near more densely populated areas [7, 14, 194]. Human consequences of all of the above factors, especially when acting synergistically, will be both profound and difficult to calculate [7, 14]. As average global temperatures continue to rise it is imperative to quantify the burden that the health systems will face due to more severe heatwaves and wildfires [195].
\nHeatwaves are often defined as 2 or more consecutive days with temperatures above the 95th percentile for the summer [196, 197]. Relative risk of mortality increases during heatwaves in urban centers, particularly among elderly patients and patients with pre-existing cardiorespiratory conditions [198, 199]. This was demonstrated during an August 2003 heatwave in Europe, when heatwave-attributable mortality reached 14,800, the risk of out-of-hospital cardiac arrests increased by 14%, and hospitalizations significantly increased among asthma patients [200, 201]. Patients with pre-existing cardiorespiratory conditions were most at-risk for heat-related mortality [200, 201]. It is important to consider cardiovascular and respiratory conditions because they are among the most common pre-existing conditions within a progressively aging general population [202, 203, 204, 205]. The specific physiologic processes causing increased mortality in patients with existing cardiovascular conditions during heatwaves are still poorly understood. However, it can be postulated that longer and more severe heatwaves place more strain on the cardiovascular system to maintain physiologic body temperatures via thermoregulation. Additionally, high temperatures are associated with elevated heart rate, increased blood viscosity from dehydration, and higher blood cholesterol levels. These factors together with sub-optimal electrolyte balance and reduced cerebral perfusion place higher demands on the cardiovascular system, which could exacerbate symptoms in vulnerable patients [206, 207].
\nRespiratory conditions on the other hand could be worsened because of lengthening frost-free periods and increasing levels of dusts and other pollutants in the urban atmosphere [208, 209]. This can be further exacerbated by the simultaneous presence of wildfires (e.g., California or Colorado, Summer 2020) [7, 14, 210, 211]. Evidence suggests that as carbon dioxide levels increase, ragweed (which is ubiquitous in urban communities) flowers earlier and produces 30-90% more pollen [212, 213]. By association, allergic sensitivity may lead to exacerbations of respiratory illness like asthma, but the phenomenon may have other synergistic components that are also directly or indirectly tied to CC [214].
\nTraditionally, rural communities have offered a relative escape from the smog and heat trapping environment of the city [215]. However, rising global temperatures are diminishing the air quality of rural communities by creating a dry landscape that is prone to wildfires and dust storms [216, 217, 218]. More specifically, particulate matter smaller than 2.5 um (PM2.5), carbon monoxide, nitrogen oxide, ozone precursors, and other harmful substances are released from wildfires, with various other components present within the cloud of a typical dust storm [154, 219, 220]. Of note, PM2.5 exposure during wildfires has been associated with increases in emergency department and hospital visits related to respiratory illnesses [221], with asthma exacerbations and wheezing in patients 65 and older having the greatest morbidity impact [222]. Evidence of cardiovascular and non-cardiopulmonary morbidity from particulate matter exposure is less consistent, with clear need for further research to better characterize any potential underlying associations [7].
\nThe number and severity of wind disasters appears to be increasing over the past two decades [168, 223, 224]. This connection between CC and increasing number and intensity of major hurricanes and other similar weather events is not fully understood [225], but more recent evidence does support a more causative effect [226, 227]. The current 2020 hurricane season in the United States is among the worst on historical record [228]. Its logistical impact is further compounded by the co-presence of the Novel Coronavirus pandemic [228]. Similar to flood disasters (which may also occur simultaneously), wind disasters and their aftermath may also have significant impact on life within the affected regions [229]. The impact of wind disasters on humans goes far beyond direct physical damage and bodily injuries [230]. Forced human migrations and post-traumatic stress add a massive component of complexity to the overall post-disaster recovery process [231, 232, 233]. Moreover, there seems to be an association between post-traumatic stress following wind disasters and the emergence of cardiovascular and other comorbid disease manifestations (or exacerbations) [231, 234]. Such longer-term manifestation appear to be more pronounced among members of underrepresented minorities, further highlighting issues of social and health-care inequity [231, 235, 236].
\nPublic health is influenced by a diverse collection of factors, many discussed in earlier sections of this chapter. One of the most under-appreciated factors is the effect of CC on mental health, both directly and indirectly, at both personal and societal levels [237, 238]. One of many subtle manifestations of societal distress is the proposed link between global warming, crop failures, and armed conflict [239, 240]. As a result, we begin to see greater incidence of mass migrations and refugee crises [241, 242]. An associated surge in mental disorders and stress related diseases is inextricably tied to such occurrences [243, 244]. Given the intersectionality of stress related disorders and their effect on the mental health of populations, it is not surprising that many are being pushed to their coping limits when faced with food insecurity, environmental pollution, increasing frequency of natural disasters, crops failures, and economic and political instability [245]. Moreover, long-term effects of such new global status quo are equally difficult to predict [246].
\nLarge scale human migrations due to natural disasters, conflict, famine, or political and economic instability, have been associated with mental health and stress related illnesses across the globe [247, 248, 249]. All population segments are affected, from rich to poor, from urban to rural, from young to old, without exception [250, 251, 252]. Exposures to potentially traumatic events, regardless of the exact nature of the event, are known to cause an increased risk for mental disorders including post-traumatic stress disorder (PTSD) [253, 254, 255]. Associated downstream consequences may include increased incidence of depression and increased suicide rates [256].
\nSignificant proportion of the world’s population does not have sufficient access to mental health support, including both high income regions (HIRs) and low-and-middle-income regions (LMIRs) [257, 258, 259, 260]. Individuals from regions affected by CC (and secondary phenomena related to CC) may find themselves experiencing a myriad of stressors affecting mental health and resulting in various stress related diseases (including substance abuse) [245]. At the personal level, a number of different approaches can be used to effectively manage behavioral health symptoms, including cognitive behavioral therapies, medical-based treatments, as well as short- and long-term coping management therapies, with generally positive outcomes [261, 262]. At the societal level, public health education regarding mental health and wellness is of great importance [263, 264, 265]. Of course, governments and societies must continue to curb and address situations that contribute to ongoing stress and mental health related disorders. This focus in particular is critical to stabilizing populations affected most by CC and related crises [266].
\nGlobal climate change creates a multifactorial, highly complex matrix of direct and indirect effects that have the potential to threaten international health security. The many domains that synergistically affect human health in the context of CC include environmental pollution, the emergence of invasive species and novel pathogens, food security, wildfires, and a broad range of destructive weather events. Of course, the complete list is much more extensive, and beyond the scope of the current chapter. In summary, the global community must come together to more effectively and more systematically address issues associated with the ongoing CC and its many direct and indirect effects. To pretend that CC “does not exist” will be, simply said, too costly.
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Singh",profilePictureURL:"https://mts.intechopen.com/storage/users/329385/images/system/329385.png",institutionString:"Punjab Technical University",institution:{name:"Punjab Technical University",institutionURL:null,country:{name:"India"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{type:"book",id:"8018",title:"Extracellular Matrix",subtitle:"Developments and Therapeutics",coverURL:"https://cdn.intechopen.com/books/images_new/8018.jpg",slug:"extracellular-matrix-developments-and-therapeutics",publishedDate:"October 27th 2021",editedByType:"Edited by",bookSignature:"Rama Sashank Madhurapantula, Joseph Orgel P.R.O. and Zvi Loewy",hash:"c85e82851e80b40282ff9be99ddf2046",volumeInSeries:23,fullTitle:"Extracellular Matrix - Developments and Therapeutics",editors:[{id:"212416",title:"Dr.",name:"Rama Sashank",middleName:null,surname:"Madhurapantula",slug:"rama-sashank-madhurapantula",fullName:"Rama Sashank Madhurapantula",profilePictureURL:"https://mts.intechopen.com/storage/users/212416/images/system/212416.jpg",institutionString:"Illinois Institute of Technology",institution:{name:"Illinois Institute of Technology",institutionURL:null,country:{name:"United States of America"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{type:"book",id:"9759",title:"Vitamin E in Health and Disease",subtitle:"Interactions, Diseases and Health Aspects",coverURL:"https://cdn.intechopen.com/books/images_new/9759.jpg",slug:"vitamin-e-in-health-and-disease-interactions-diseases-and-health-aspects",publishedDate:"October 6th 2021",editedByType:"Edited by",bookSignature:"Pınar Erkekoglu and Júlia Scherer Santos",hash:"6c3ddcc13626110de289b57f2516ac8f",volumeInSeries:22,fullTitle:"Vitamin E in Health and Disease - Interactions, Diseases and Health Aspects",editors:[{id:"109978",title:"Prof.",name:"Pınar",middleName:null,surname:"Erkekoğlu",slug:"pinar-erkekoglu",fullName:"Pınar Erkekoğlu",profilePictureURL:"https://mts.intechopen.com/storage/users/109978/images/system/109978.jpg",institutionString:"Hacettepe University",institution:{name:"Hacettepe University",institutionURL:null,country:{name:"Turkey"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{type:"book",id:"9753",title:"Terpenes and Terpenoids",subtitle:"Recent Advances",coverURL:"https://cdn.intechopen.com/books/images_new/9753.jpg",slug:"terpenes-and-terpenoids-recent-advances",publishedDate:"July 28th 2021",editedByType:"Edited by",bookSignature:"Shagufta Perveen and Areej Mohammad Al-Taweel",hash:"575689df13c78bf0e6c1be40804cd010",volumeInSeries:21,fullTitle:"Terpenes and Terpenoids - Recent Advances",editors:[{id:"192992",title:"Prof.",name:"Shagufta",middleName:null,surname:"Perveen",slug:"shagufta-perveen",fullName:"Shagufta Perveen",profilePictureURL:"https://mts.intechopen.com/storage/users/192992/images/system/192992.png",institutionString:"King Saud University",institution:{name:"King Saud University",institutionURL:null,country:{name:"Saudi Arabia"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null}]},subseriesFiltersForPublishedBooks:[{group:"subseries",caption:"Proteomics",value:18,count:4},{group:"subseries",caption:"Metabolism",value:17,count:6},{group:"subseries",caption:"Cell and Molecular Biology",value:14,count:9},{group:"subseries",caption:"Chemical Biology",value:15,count:12}],publicationYearFilters:[{group:"publicationYear",caption:"2022",value:2022,count:7},{group:"publicationYear",caption:"2021",value:2021,count:7},{group:"publicationYear",caption:"2020",value:2020,count:12},{group:"publicationYear",caption:"2019",value:2019,count:3},{group:"publicationYear",caption:"2018",value:2018,count:2}],authors:{paginationCount:228,paginationItems:[{id:"318170",title:"Dr.",name:"Aneesa",middleName:null,surname:"Moolla",slug:"aneesa-moolla",fullName:"Aneesa Moolla",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/318170/images/system/318170.png",biography:"Dr. Aneesa Moolla has extensive experience in the diverse fields of health care having previously worked in dental private practice, at the Red Cross Flying Doctors association, and in healthcare corporate settings. She is now a lecturer at the University of Witwatersrand, South Africa, and a principal researcher at the Health Economics and Epidemiology Research Office (HE2RO), South Africa. Dr. Moolla holds a Ph.D. in Psychology with her research being focused on mental health and resilience. In her professional work capacity, her research has further expanded into the fields of early childhood development, mental health, the HIV and TB care cascades, as well as COVID. She is also a UNESCO-trained International Bioethics Facilitator.",institutionString:"University of the Witwatersrand",institution:{name:"University of the Witwatersrand",country:{name:"South Africa"}}},{id:"342152",title:"Dr.",name:"Santo",middleName:null,surname:"Grace Umesh",slug:"santo-grace-umesh",fullName:"Santo Grace Umesh",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/342152/images/16311_n.jpg",biography:null,institutionString:null,institution:{name:"SRM Dental College",country:{name:"India"}}},{id:"333647",title:"Dr.",name:"Shreya",middleName:null,surname:"Kishore",slug:"shreya-kishore",fullName:"Shreya Kishore",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/333647/images/14701_n.jpg",biography:"Dr. Shreya Kishore completed her Bachelor in Dental Surgery in Chettinad Dental College and Research Institute, Chennai, and her Master of Dental Surgery (Orthodontics) in Saveetha Dental College, Chennai. She is also Invisalign certified. She’s working as a Senior Lecturer in the Department of Orthodontics, SRM Dental College since November 2019. She is actively involved in teaching orthodontics to the undergraduates and the postgraduates. Her clinical research topics include new orthodontic brackets, fixed appliances and TADs. She’s published 4 articles in well renowned indexed journals and has a published patency of her own. Her private practice is currently limited to orthodontics and works as a consultant in various clinics.",institutionString:null,institution:{name:"SRM Dental College",country:{name:"India"}}},{id:"323731",title:"Prof.",name:"Deepak M.",middleName:"Macchindra",surname:"Vikhe",slug:"deepak-m.-vikhe",fullName:"Deepak M. Vikhe",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/323731/images/13613_n.jpg",biography:"Dr Deepak M.Vikhe .\n\n\t\n\tDr Deepak M.Vikhe , completed his Masters & PhD in Prosthodontics from Rural Dental College, Loni securing third rank in the Pravara Institute of Medical Sciences Deemed University. He was awarded Dr.G.C.DAS Memorial Award for Research on Implants at 39th IPS conference Dubai (U A E).He has two patents under his name. He has received Dr.Saraswati medal award for best research for implant study in 2017.He has received Fully funded scholarship to Spain ,university of Santiago de Compostela. He has completed fellowship in Implantlogy from Noble Biocare. \nHe has attended various conferences and CDE programmes and has national publications to his credit. His field of interest is in Implant supported prosthesis. Presently he is working as a associate professor in the Dept of Prosthodontics, Rural Dental College, Loni and maintains a successful private practice specialising in Implantology at Rahata.\n\nEmail: drdeepak_mvikhe@yahoo.com..................",institutionString:null,institution:{name:"Pravara Institute of Medical Sciences",country:{name:"India"}}},{id:"204110",title:"Dr.",name:"Ahmed A.",middleName:null,surname:"Madfa",slug:"ahmed-a.-madfa",fullName:"Ahmed A. Madfa",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/204110/images/system/204110.jpg",biography:"Dr. Madfa is currently Associate Professor of Endodontics at Thamar University and a visiting lecturer at Sana'a University and University of Sciences and Technology. He has more than 6 years of experience in teaching. His research interests include root canal morphology, functionally graded concept, dental biomaterials, epidemiology and dental education, biomimetic restoration, finite element analysis and endodontic regeneration. Dr. Madfa has numerous international publications, full articles, two patents, a book and a book chapter. Furthermore, he won 14 international scientific awards. Furthermore, he is involved in many academic activities ranging from editorial board member, reviewer for many international journals and postgraduate students' supervisor. Besides, I deliver many courses and training workshops at various scientific events. Dr. Madfa also regularly attends international conferences and holds administrative positions (Deputy Dean of the Faculty for Students’ & Academic Affairs and Deputy Head of Research Unit).",institutionString:"Thamar University",institution:null},{id:"210472",title:"Dr.",name:"Nermin",middleName:"Mohammed Ahmed",surname:"Yussif",slug:"nermin-yussif",fullName:"Nermin Yussif",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/210472/images/system/210472.jpg",biography:"Dr. Nermin Mohammed Ahmed Yussif is working at the Faculty of dentistry, University for October university for modern sciences and arts (MSA). Her areas of expertise include: periodontology, dental laserology, oral implantology, periodontal plastic surgeries, oral mesotherapy, nutrition, dental pharmacology. She is an editor and reviewer in numerous international journals.",institutionString:"MSA University",institution:null},{id:"204606",title:"Dr.",name:"Serdar",middleName:null,surname:"Gözler",slug:"serdar-gozler",fullName:"Serdar Gözler",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/204606/images/system/204606.jpeg",biography:"Dr. Serdar Gözler has completed his undergraduate studies at the Marmara University Faculty of Dentistry in 1978, followed by an assistantship in the Prosthesis Department of Dicle University Faculty of Dentistry. Starting his PhD work on non-resilient overdentures with Assoc. Prof. Hüsnü Yavuzyılmaz, he continued his studies with Prof. Dr. Gürbüz Öztürk of Istanbul University Faculty of Dentistry Department of Prosthodontics, this time on Gnatology. He attended training programs on occlusion, neurology, neurophysiology, EMG, radiology and biostatistics. In 1982, he presented his PhD thesis \\Gerber and Lauritzen Occlusion Analysis Techniques: Diagnosis Values,\\ at Istanbul University School of Dentistry, Department of Prosthodontics. As he was also working with Prof. Senih Çalıkkocaoğlu on The Physiology of Chewing at the same time, Gözler has written a chapter in Çalıkkocaoğlu\\'s book \\Complete Prostheses\\ entitled \\The Place of Neuromuscular Mechanism in Prosthetic Dentistry.\\ The book was published five times since by the Istanbul University Publications. Having presented in various conferences about occlusion analysis until 1998, Dr. Gözler has also decided to use the T-Scan II occlusion analysis method. Having been personally trained by Dr. Robert Kerstein on this method, Dr. Gözler has been lecturing on the T-Scan Occlusion Analysis Method in conferences both in Turkey and abroad. Dr. Gözler has various articles and presentations on Digital Occlusion Analysis methods. He is now Head of the TMD Clinic at Prosthodontic Department of Faculty of Dentistry , Istanbul Aydın University , Turkey.",institutionString:"Istanbul Aydin University",institution:{name:"Istanbul Aydın University",country:{name:"Turkey"}}},{id:"240870",title:"Ph.D.",name:"Alaa Eddin Omar",middleName:null,surname:"Al Ostwani",slug:"alaa-eddin-omar-al-ostwani",fullName:"Alaa Eddin Omar Al Ostwani",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/240870/images/system/240870.jpeg",biography:"Dr. Al Ostwani Alaa Eddin Omar received his Master in dentistry from Damascus University in 2010, and his Ph.D. in Pediatric Dentistry from Damascus University in 2014. Dr. Al Ostwani is an assistant professor and faculty member at IUST University since 2014. \nDuring his academic experience, he has received several awards including the scientific research award from the Union of Arab Universities, the Syrian gold medal and the international gold medal for invention and creativity. Dr. Al Ostwani is a Member of the International Association of Dental Traumatology and the Syrian Society for Research and Preventive Dentistry since 2017. He is also a Member of the Reviewer Board of International Journal of Dental Medicine (IJDM), and the Indian Journal of Conservative and Endodontics since 2016.",institutionString:"International University for Science and Technology.",institution:{name:"Islamic University of Science and Technology",country:{name:"India"}}},{id:"42847",title:"Dr.",name:"Belma",middleName:null,surname:"Işik Aslan",slug:"belma-isik-aslan",fullName:"Belma Işik Aslan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/42847/images/system/42847.jpg",biography:"Dr. Belma IşIk Aslan was born in 1976 in Ankara-TURKEY. After graduating from TED Ankara College in 1994, she attended to Gazi University, Faculty of Dentistry in Ankara. She completed her PhD in orthodontic education at Gazi University between 1999-2005. Dr. Işık Aslan stayed at the Providence Hospital Craniofacial Institude and Reconstructive Surgery in Michigan, USA for three months as an observer. She worked as a specialist doctor at Gazi University, Dentistry Faculty, Department of Orthodontics between 2005-2014. She was appointed as associate professor in January, 2014 and as professor in 2021. Dr. Işık Aslan still works as an instructor at the same faculty. She has published a total of 35 articles, 10 book chapters, 39 conference proceedings both internationally and nationally. Also she was the academic editor of the international book 'Current Advances in Orthodontics'. She is a member of the Turkish Orthodontic Society and Turkish Cleft Lip and Palate Society. She is married and has 2 children. Her knowledge of English is at an advanced level.",institutionString:"Gazi University Dentistry Faculty Department of Orthodontics",institution:null},{id:"178412",title:"Associate Prof.",name:"Guhan",middleName:null,surname:"Dergin",slug:"guhan-dergin",fullName:"Guhan Dergin",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/178412/images/6954_n.jpg",biography:"Assoc. Prof. Dr. Gühan Dergin was born in 1973 in Izmit. He graduated from Marmara University Faculty of Dentistry in 1999. He completed his specialty of OMFS surgery in Marmara University Faculty of Dentistry and obtained his PhD degree in 2006. In 2005, he was invited as a visiting doctor in the Oral and Maxillofacial Surgery Department of the University of North Carolina, USA, where he went on a scholarship. Dr. Dergin still continues his academic career as an associate professor in Marmara University Faculty of Dentistry. He has many articles in international and national scientific journals and chapters in books.",institutionString:null,institution:{name:"Marmara University",country:{name:"Turkey"}}},{id:"178414",title:"Prof.",name:"Yusuf",middleName:null,surname:"Emes",slug:"yusuf-emes",fullName:"Yusuf Emes",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/178414/images/6953_n.jpg",biography:"Born in Istanbul in 1974, Dr. Emes graduated from Istanbul University Faculty of Dentistry in 1997 and completed his PhD degree in Istanbul University faculty of Dentistry Department of Oral and Maxillofacial Surgery in 2005. He has papers published in international and national scientific journals, including research articles on implantology, oroantral fistulas, odontogenic cysts, and temporomandibular disorders. Dr. Emes is currently working as a full-time academic staff in Istanbul University faculty of Dentistry Department of Oral and Maxillofacial Surgery.",institutionString:null,institution:{name:"Istanbul University",country:{name:"Turkey"}}},{id:"192229",title:"Ph.D.",name:"Ana Luiza",middleName:null,surname:"De Carvalho Felippini",slug:"ana-luiza-de-carvalho-felippini",fullName:"Ana Luiza De Carvalho Felippini",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/192229/images/system/192229.jpg",biography:null,institutionString:"University of São Paulo",institution:{name:"University of Sao Paulo",country:{name:"Brazil"}}},{id:"256851",title:"Prof.",name:"Ayşe",middleName:null,surname:"Gülşen",slug:"ayse-gulsen",fullName:"Ayşe Gülşen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/256851/images/9696_n.jpg",biography:"Dr. Ayşe Gülşen graduated in 1990 from Faculty of Dentistry, University of Ankara and did a postgraduate program at University of Gazi. \nShe worked as an observer and research assistant in Craniofacial Surgery Departments in New York, Providence Hospital in Michigan and Chang Gung Memorial Hospital in Taiwan. \nShe works as Craniofacial Orthodontist in Department of Aesthetic, Plastic and Reconstructive Surgery, Faculty of Medicine, University of Gazi, Ankara Turkey since 2004.",institutionString:"Univeristy of Gazi",institution:null},{id:"255366",title:"Prof.",name:"Tosun",middleName:null,surname:"Tosun",slug:"tosun-tosun",fullName:"Tosun Tosun",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/255366/images/7347_n.jpg",biography:"Graduated at the Faculty of Dentistry, University of Istanbul, Turkey in 1989;\nVisitor Assistant at the University of Padua, Italy and Branemark Osseointegration Center of Treviso, Italy between 1993-94;\nPhD thesis on oral implantology in University of Istanbul and was awarded the academic title “Dr.med.dent.”, 1997;\nHe was awarded the academic title “Doç.Dr.” (Associated Professor) in 2003;\nProficiency in Botulinum Toxin Applications, Reading-UK in 2009;\nMastership, RWTH Certificate in Laser Therapy in Dentistry, AALZ-Aachen University, Germany 2009-11;\nMaster of Science (MSc) in Laser Dentistry, University of Genoa, Italy 2013-14.\n\nDr.Tosun worked as Research Assistant in the Department of Oral Implantology, Faculty of Dentistry, University of Istanbul between 1990-2002. \nHe worked part-time as Consultant surgeon in Harvard Medical International Hospitals and John Hopkins Medicine, Istanbul between years 2007-09.\u2028He was contract Professor in the Department of Surgical and Diagnostic Sciences (DI.S.C.), Medical School, University of Genova, Italy between years 2011-16. \nSince 2015 he is visiting Professor at Medical School, University of Plovdiv, Bulgaria. \nCurrently he is Associated Prof.Dr. at the Dental School, Oral Surgery Dept., Istanbul Aydin University and since 2003 he works in his own private clinic in Istanbul, Turkey.\u2028\nDr.Tosun is reviewer in journal ‘Laser in Medical Sciences’, reviewer in journal ‘Folia Medica\\', a Fellow of the International Team for Implantology, Clinical Lecturer of DGZI German Association of Oral Implantology, Expert Lecturer of Laser&Health Academy, Country Representative of World Federation for Laser Dentistry, member of European Federation of Periodontology, member of Academy of Laser Dentistry. Dr.Tosun presents papers in international and national congresses and has scientific publications in international and national journals. He speaks english, spanish, italian and french.",institutionString:null,institution:{name:"Istanbul Aydın University",country:{name:"Turkey"}}},{id:"171887",title:"Prof.",name:"Zühre",middleName:null,surname:"Akarslan",slug:"zuhre-akarslan",fullName:"Zühre Akarslan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/171887/images/system/171887.jpg",biography:"Zühre Akarslan was born in 1977 in Cyprus. She graduated from Gazi University Faculty of Dentistry, Ankara, Turkey in 2000. \r\nLater she received her Ph.D. degree from the Oral Diagnosis and Radiology Department; which was recently renamed as Oral and Dentomaxillofacial Radiology, from the same university. \r\nShe is working as a full-time Associate Professor and is a lecturer and an academic researcher. \r\nHer expertise areas are dental caries, cancer, dental fear and anxiety, gag reflex in dentistry, oral medicine, and dentomaxillofacial radiology.",institutionString:"Gazi University",institution:{name:"Gazi University",country:{name:"Turkey"}}},{id:"256417",title:"Associate Prof.",name:"Sanaz",middleName:null,surname:"Sadry",slug:"sanaz-sadry",fullName:"Sanaz Sadry",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/256417/images/8106_n.jpg",biography:null,institutionString:null,institution:null},{id:"272237",title:"Dr.",name:"Pinar",middleName:"Kiymet",surname:"Karataban",slug:"pinar-karataban",fullName:"Pinar Karataban",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/272237/images/8911_n.png",biography:"Assist.Prof.Dr.Pınar Kıymet Karataban, DDS PhD \n\nDr.Pınar Kıymet Karataban was born in Istanbul in 1975. After her graduation from Marmara University Faculty of Dentistry in 1998 she started her PhD in Paediatric Dentistry focused on children with special needs; mainly children with Cerebral Palsy. She finished her pHD thesis entitled \\'Investigation of occlusion via cast analysis and evaluation of dental caries prevalance, periodontal status and muscle dysfunctions in children with cerebral palsy” in 2008. She got her Assist. Proffessor degree in Istanbul Aydın University Paediatric Dentistry Department in 2015-2018. ın 2019 she started her new career in Bahcesehir University, Istanbul as Head of Department of Pediatric Dentistry. In 2020 she was accepted to BAU International University, Batumi as Professor of Pediatric Dentistry. She’s a lecturer in the same university meanwhile working part-time in private practice in Ege Dental Studio (https://www.egedisklinigi.com/) a multidisciplinary dental clinic in Istanbul. Her main interests are paleodontology, ancient and contemporary dentistry, oral microbiology, cerebral palsy and special care dentistry. She has national and international publications, scientific reports and is a member of IAPO (International Association for Paleodontology), IADH (International Association of Disability and Oral Health) and EAPD (European Association of Pediatric Dentistry).",institutionString:null,institution:null},{id:"202198",title:"Dr.",name:"Buket",middleName:null,surname:"Aybar",slug:"buket-aybar",fullName:"Buket Aybar",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/202198/images/6955_n.jpg",biography:"Buket Aybar, DDS, PhD, was born in 1971. She graduated from Istanbul University, Faculty of Dentistry, in 1992 and completed her PhD degree on Oral and Maxillofacial Surgery in Istanbul University in 1997.\nDr. Aybar is currently a full-time professor in Istanbul University, Faculty of Dentistry Department of Oral and Maxillofacial Surgery. She has teaching responsibilities in graduate and postgraduate programs. Her clinical practice includes mainly dentoalveolar surgery.\nHer topics of interest are biomaterials science and cell culture studies. She has many articles in international and national scientific journals and chapters in books; she also has participated in several scientific projects supported by Istanbul University Research fund.",institutionString:null,institution:null},{id:"260116",title:"Dr.",name:"Mehmet",middleName:null,surname:"Yaltirik",slug:"mehmet-yaltirik",fullName:"Mehmet Yaltirik",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/260116/images/7413_n.jpg",biography:"Birth Date 25.09.1965\r\nBirth Place Adana- Turkey\r\nSex Male\r\nMarrial Status Bachelor\r\nDriving License Acquired\r\nMother Tongue Turkish\r\n\r\nAddress:\r\nWork:University of Istanbul,Faculty of Dentistry, Department of Oral Surgery and Oral Medicine 34093 Capa,Istanbul- TURKIYE",institutionString:null,institution:null},{id:"172009",title:"Dr.",name:"Fatma Deniz",middleName:null,surname:"Uzuner",slug:"fatma-deniz-uzuner",fullName:"Fatma Deniz Uzuner",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/172009/images/7122_n.jpg",biography:"Dr. Deniz Uzuner was born in 1969 in Kocaeli-TURKEY. After graduating from TED Ankara College in 1986, she attended the Hacettepe University, Faculty of Dentistry in Ankara. \nIn 1993 she attended the Gazi University, Faculty of Dentistry, Department of Orthodontics for her PhD education. After finishing the PhD education, she worked as orthodontist in Ankara Dental Hospital under the Turkish Government, Ministry of Health and in a special Orthodontic Clinic till 2011. Between 2011 and 2016, Dr. Deniz Uzuner worked as a specialist in the Department of Orthodontics, Faculty of Dentistry, Gazi University in Ankara/Turkey. In 2016, she was appointed associate professor. Dr. Deniz Uzuner has authored 23 Journal Papers, 3 Book Chapters and has had 39 oral/poster presentations. She is a member of the Turkish Orthodontic Society. 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Biochemistry examines macromolecules - proteins, nucleic acids, carbohydrates, and lipids – and their building blocks, structures, functions, and interactions. Much of biochemistry is devoted to enzymes, proteins that catalyze chemical reactions, enzyme structures, mechanisms of action and their roles within cells. Biochemistry also studies small signaling molecules, coenzymes, inhibitors, vitamins, and hormones, which play roles in life processes. Biochemical experimentation, besides coopting classical chemistry methods, e.g., chromatography, adopted new techniques, e.g., X-ray diffraction, electron microscopy, NMR, radioisotopes, and developed sophisticated microbial genetic tools, e.g., auxotroph mutants and their revertants, fermentation, etc. More recently, biochemistry embraced the ‘big data’ omics systems. Initial biochemical studies have been exclusively analytic: dissecting, purifying, and examining individual components of a biological system; in the apt words of Efraim Racker (1913 –1991), “Don’t waste clean thinking on dirty enzymes.” Today, however, biochemistry is becoming more agglomerative and comprehensive, setting out to integrate and describe entirely particular biological systems. The ‘big data’ metabolomics can define the complement of small molecules, e.g., in a soil or biofilm sample; proteomics can distinguish all the comprising proteins, e.g., serum; metagenomics can identify all the genes in a complex environment, e.g., the bovine rumen. 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Behind these definitions are hidden all the aspects of normal and pathological functioning of all processes that the topic ‘Metabolism’ will cover within the Biochemistry Series. 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Thus proteomics, an area of research that detects all protein forms expressed in an organism, including splice isoforms and post-translational modifications, is more suitable than genomics for a comprehensive understanding of the biochemical processes that govern life. The most common proteomics applications are currently in the clinical field for the identification, in a variety of biological matrices, of biomarkers for diagnosis and therapeutic intervention of disorders. From the comparison of proteomic profiles of control and disease or different physiological states, which may emerge, changes in protein expression can provide new insights into the roles played by some proteins in human pathologies. Understanding how proteins function and interact with each other is another goal of proteomics that makes this approach even more intriguing. Specialized technology and expertise are required to assess the proteome of any biological sample. Currently, proteomics relies mainly on mass spectrometry (MS) combined with electrophoretic (1 or 2-DE-MS) and/or chromatographic techniques (LC-MS/MS). MS is an excellent tool that has gained popularity in proteomics because of its ability to gather a complex body of information such as cataloging protein expression, identifying protein modification sites, and defining protein interactions. 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