Sex Differences in the Cerebral Collateral Circulation

Faber, James E.; Moore, Steven; Lucitti, Jennifer L.; Aghajanian, Amir; Zhang, Hua

doi:10.1007/s12975-016-0508-0

Cited by 58 publications

(59 citation statements)

References 71 publications

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“…Here, we found that a substantial difference in vascularization and bifurcation density exists across the regions of the Allen brain atlas. Furthermore, we found that intracranial anastomoses between the anterior cerebral artery, middle cerebral artery and the posterior cerebral artery which are known from C57BL/6J 35,47 , are also present in albino CD1-Elite strain. This is opposed to the BALB/c albino mouse where the absence of collaterals has been described 35 .…”

Section: Figure 6: Exemplary Quantitative Analysis Enabled By Vessapmentioning

confidence: 77%

Automated analysis of whole brain vasculature using machine learning

Schoppe

et al. 2019

Preprint

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Tissue clearing methods enable imaging of intact biological specimens without sectioning. However, reliable and scalable analysis of such large imaging data in 3D remains a challenge. Towards this goal, we developed a deep learning-based framework to quantify and analyze the brain vasculature, named Vessel Segmentation & Analysis Pipeline (VesSAP). Our pipeline uses a fully convolutional network with a transfer learning approach for segmentation. We systematically analyzed vascular features of the whole brains including their length, bifurcation points and radius at the micrometer scale by registering them to the Allen mouse brain atlas. We reported the first evidence of secondary intracranial collateral vascularization in CD1-Elite mice and found reduced vascularization in the brainstem as compared to the cerebrum. VesSAP thus enables unbiased and scalable quantifications for the angioarchitecture of the cleared intact mouse brain and yields new biological insights related to the vascular brain function.

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Section: Figure 6: Exemplary Quantitative Analysis Enabled By Vessapmentioning

confidence: 77%

Automated analysis of whole brain vasculature using machine learning

Schoppe

et al. 2019

Preprint

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“…In the cerebrovasculature, sex differences have been described with respect to vascular anatomy [21] and also pharmacology [60]. In the brain, arteriolar responses to vasoactive compounds, including angiotensin [19, 114] and endothelin-1 [29, 71], and nitric oxide synthase activity [88, 115], are sexually dimorphic.…”

Section: Vascular Reactivity (Vsm Dilation/constriction)mentioning

confidence: 99%

“…The incidence of stroke is higher in women than men, especially later in life [14, 21, 61, 99]. As with coronary microvessels, age and sex are significant, independent variables influencing cerebrovascular function.…”

Section: Vascular Reactivity (Vsm Dilation/constriction)mentioning

confidence: 99%

Sex-Specific Characteristics of the Microcirculation

Huxley

Kemp

2018

Advances in Experimental Medicine and Biology

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The requirements of metabolizing tissue are both continuous and variable; accordingly, the microvasculature serving that tissue must be similarly dynamic. Just as it is recognized that males and females of the same species have differing metabolic requirements, is it not likely that the microvasculature serving these tissues will differ by sex? This section focusing on the constituents of the microcirculation identifies what is known presently about the role sex plays in matching metabolic demand with microvascular function and areas requiring additional study. Many of the identified sex differences are subtle and easily ignored. In the aggregate, though, they can profoundly alter phenotype, especially under stressful conditions including pregnancy, exercise, and disease states ranging from diabetes to heart failure. Although the features presently identified to “have sex” range from differences in growth, morphology, protein expression, and intracellular signaling, males and females alike achieve homeostasis, likely by different means. Studies of microvascular sexual dimorphism are also identifying age as an independent but interacting factor requiring additional attention. Overall, attempting to ignore either sex and/or age is inappropriate and will prevent the design and implementation of appropriate interventions to present, ameliorate, or correct microvascular dysfunction.

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“…The basal level of cerebral collateralization as well as collateral remodeling after an ischemic insult greatly alters the ischemic outcomes. It is worth mentioning that the extent of the pial collateral formation differs among different strains as well as different pathological conditions but there is no sex effect (87, 262). …”

Section: Cerebrovascular Structurementioning

confidence: 99%

Impact of Metabolic Diseases on Cerebral Circulation: Structural and Functional Consequences

Coucha

Abdelsaid

Ward

et al. 2018

Comprehensive Physiology

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Metabolic diseases including obesity, insulin resistance, and diabetes have profound effects on cerebral circulation. These diseases not only affect the architecture of cerebral blood arteries causing adverse remodeling, pathological neovascularization, and vasoregression but also alter the physiology of blood vessels resulting in compromised myogenic reactivity, neurovascular uncoupling, and endothelial dysfunction. Coupled with the disruption of blood brain barrier (BBB) integrity, changes in blood flow and microbleeds into the brain rapidly occur. This overview is organized into sections describing cerebrovascular architecture, physiology, and BBB in these diseases. In each section, we review these properties starting with larger arteries moving into smaller vessels. Where information is available, we review in the order of obesity, insulin resistance, and diabetes. We also tried to include information on biological variables such as the sex of the animal models noted since most of the information summarized was obtained using male animals. © 2018 American Physiological Society. Compr Physiol 8:773-799, 2018.

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Sex Differences in the Cerebral Collateral Circulation

Cited by 58 publications

References 71 publications

Automated analysis of whole brain vasculature using machine learning

Automated analysis of whole brain vasculature using machine learning

Sex-Specific Characteristics of the Microcirculation

Impact of Metabolic Diseases on Cerebral Circulation: Structural and Functional Consequences

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