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A B Figure 1. A, The importance of capillary flow patterns (yellow arrows) for the efficacy of oxygen extraction. Intravascular colors indicate blood saturation (red, fully oxygenated; darker blue, more deoxygenated) and surrounding darker blue colors indicate lower tissue oxygen tension-adapted from Østergaard et al. 23 Copyright ©2013, The Authors (see: http://creativecommons.org/licenses/by-nc-sa/3.0/). In the resting, normal brain (top), erythrocyte velocities vary greatly among capillaries, with little oxygen being extracted from fast-flowing blood. 22 As cerebral blood flow (CBF) increases (right), capillary flow patterns homogenize in parallel. 22 This phenomenon reduces the functional shunting that otherwise occurs when erythrocytes pass through capillaries at short transit times. Although the mean transit time (MTT) of blood through the capillary bed is related to CBF through the central volume theorem (MTT=CBV/CBF, where CBV is the capillary blood volume), capillary transit time heterogeneity (CTH) indicates the distribution of capillary transit times relative to this mean (eg, in terms of their standard deviation). Both MTT and CTH are measured in seconds, and the degree of functional shunting generally increases as CTH approaches MTT.24 Bottom, Capillary dysfunction, characterized by elevated CTH relative to MTT, and failure of capillary flow patterns to homogenize during hyperemia. The conditions may be the result of pericyte dysfunction, changes in blood viscosity or capillary wall morphology, or external capillary compression. These changes hinder the redistribution of blood across the capillary bed, with less affected capillary paths tending to act as functional shunts for oxygenated blood. Biophysically, the only means of attenuating the accompanying oxygen loss is to reduce transit times across all capillaries, that is, to attenuate CBF and CBF responses. 25 The accompanying reduction in net oxygen supply reduces tissue oxygen tension as cells continue to use oxygen, increasing blood-tissue concentration gradients and net oxygen extraction. 25 With flow responses attenuated, oxygen extraction can be increased from the 30% of normal brain up to near unity, and normal brain function maintained although capillary dysfunction becomes more severe. 25 It is important to note that current state-of-the-art algorithms to generate maps of transit time-related metrics based on perfusion-weighted magnetic resonance imaging or computed tomography cannot distinguish changes in tracer retention caused by prolonged MTT (reduced CBF) from changes caused by capillary flow disturbances (capillary dysfunction). 25 The effects of CTH must therefore be separately modeled to ascertain whether clinical signs of ischemia are indeed caused by limited blood supply or by capillary dysfunction.26 B, The acute changes in capillary morphology that accompany conditions in which CSD are common. In traumatic brain injury (TBI; i), massive swelling of the perivascular astrocytic end feet (AE) and flattening or compression of the...
A B Figure 1. A, The importance of capillary flow patterns (yellow arrows) for the efficacy of oxygen extraction. Intravascular colors indicate blood saturation (red, fully oxygenated; darker blue, more deoxygenated) and surrounding darker blue colors indicate lower tissue oxygen tension-adapted from Østergaard et al. 23 Copyright ©2013, The Authors (see: http://creativecommons.org/licenses/by-nc-sa/3.0/). In the resting, normal brain (top), erythrocyte velocities vary greatly among capillaries, with little oxygen being extracted from fast-flowing blood. 22 As cerebral blood flow (CBF) increases (right), capillary flow patterns homogenize in parallel. 22 This phenomenon reduces the functional shunting that otherwise occurs when erythrocytes pass through capillaries at short transit times. Although the mean transit time (MTT) of blood through the capillary bed is related to CBF through the central volume theorem (MTT=CBV/CBF, where CBV is the capillary blood volume), capillary transit time heterogeneity (CTH) indicates the distribution of capillary transit times relative to this mean (eg, in terms of their standard deviation). Both MTT and CTH are measured in seconds, and the degree of functional shunting generally increases as CTH approaches MTT.24 Bottom, Capillary dysfunction, characterized by elevated CTH relative to MTT, and failure of capillary flow patterns to homogenize during hyperemia. The conditions may be the result of pericyte dysfunction, changes in blood viscosity or capillary wall morphology, or external capillary compression. These changes hinder the redistribution of blood across the capillary bed, with less affected capillary paths tending to act as functional shunts for oxygenated blood. Biophysically, the only means of attenuating the accompanying oxygen loss is to reduce transit times across all capillaries, that is, to attenuate CBF and CBF responses. 25 The accompanying reduction in net oxygen supply reduces tissue oxygen tension as cells continue to use oxygen, increasing blood-tissue concentration gradients and net oxygen extraction. 25 With flow responses attenuated, oxygen extraction can be increased from the 30% of normal brain up to near unity, and normal brain function maintained although capillary dysfunction becomes more severe. 25 It is important to note that current state-of-the-art algorithms to generate maps of transit time-related metrics based on perfusion-weighted magnetic resonance imaging or computed tomography cannot distinguish changes in tracer retention caused by prolonged MTT (reduced CBF) from changes caused by capillary flow disturbances (capillary dysfunction). 25 The effects of CTH must therefore be separately modeled to ascertain whether clinical signs of ischemia are indeed caused by limited blood supply or by capillary dysfunction.26 B, The acute changes in capillary morphology that accompany conditions in which CSD are common. In traumatic brain injury (TBI; i), massive swelling of the perivascular astrocytic end feet (AE) and flattening or compression of the...
Aging, hypertension, diabetes, hypoxia/obstructive sleep apnea (OSA), obesity, vitamin B12/folate deficiency, depression, and traumatic brain injury synergistically promote diverse pathological mechanisms including cerebral hypoperfusion and glucose hypometabolism. These risk factors trigger neuroinflammation and oxidative-nitrosative stress that in turn decrease nitric oxide and enhance endothelin, Amyloid-β deposition, cerebral amyloid angiopathy, and blood-brain barrier disruption. Proinflammatory cytokines, endothelin-1, and oxidative-nitrosative stress trigger several pathological feedforward and feedback loops. These upstream factors persist in the brain for decades, upregulating amyloid and tau, before the cognitive decline. These cascades lead to neuronal Ca increase, neurodegeneration, cognitive/memory decline, and Alzheimer's disease (AD). However, strategies are available to attenuate cerebral hypoperfusion and glucose hypometabolism and ameliorate cognitive decline. AD is the leading cause of dementia among the elderly. There is significant evidence that pathways involving inflammation and oxidative-nitrosative stress (ONS) play a key pathophysiological role in promoting cognitive dysfunction. Aging and several comorbid conditions mentioned above promote diverse pathologies. These include inflammation, ONS, hypoperfusion, and hypometabolism in the brain. In AD, chronic cerebral hypoperfusion and glucose hypometabolism precede decades before the cognitive decline. These comorbid disease conditions may share and synergistically activate these pathophysiological pathways. Inflammation upregulates cerebrovascular pathology through proinflammatory cytokines, endothelin-1, and nitric oxide (NO). Inflammation-triggered ONS promotes long-term damage involving fatty acids, proteins, DNA, and mitochondria; these amplify and perpetuate several feedforward and feedback pathological loops. The latter includes dysfunctional energy metabolism (compromised mitochondrial ATP production), amyloid-β generation, endothelial dysfunction, and blood-brain-barrier disruption. These lead to decreased cerebral blood flow and chronic cerebral hypoperfusion- that would modulate metabolic dysfunction and neurodegeneration. In essence, hypoperfusion deprives the brain from its two paramount trophic substances, viz., oxygen and nutrients. Consequently, the brain suffers from synaptic dysfunction and neuronal degeneration/loss, leading to both gray and white matter atrophy, cognitive dysfunction, and AD. This Review underscores the importance of treating the above-mentioned comorbid disease conditions to attenuate inflammation and ONS and ameliorate decreased cerebral blood flow and hypometabolism. Additionally, several strategies are described here to control chronic hypoperfusion of the brain and enhance cognition. © 2016 Wiley Periodicals, Inc.
In ischemic stroke research, a better understanding of the pathophysiology and development of neuroprotection methods are crucial, for which in vivo imaging to monitor spreading depolarizations (SDs) and evolution of tissue damage is desired. Since these events are accompanied by cellular morphological changes, light-scattering signals, which are sensitive to cellular and subcellular morphology, can be used for monitoring them. In this study, we performed transcranial imaging of near-infrared (NIR) diffuse reflectance at ∼800 nm, which sensitively reflects light-scattering change, and examined how NIR reflectance is correlated with simultaneously measured cerebral blood flow (CBF) for a rat middle cerebral artery occlusion (MCAO) model. After MCAO, wavelike NIR reflectance changes indicating occurrence of SDs were generated and propagated around the ischemic core for ∼90 min, during which time NIR reflectance increased not only within the ischemic core but also in the peripheral region. The area with increased reflectance expanded with increase in the number of SD occurrences, the correlation coefficient being 0.7686 (n = 5). The area with increased reflectance had become infarcted at 24 hr after MCAO. The infarct region was found to be associated with hypoperfusion or no-flow response to SD, but hyperemia or hypoperfusion followed by hyperemia response to SD was also observed, and the regional heterogeneity seemed to be connected with the rat cerebrovasculature and hence existence/absence of collateral flow. The results suggest that NIR reflectance signals depicted early evolution of tissue damage, which was not seen by CBF changes, and enabled lesion progression monitoring in the present stroke model.
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