Biology subjects

Zimmerman, B.

Publications and source records attributed to Zimmerman, B..

8 recordsLinked to original sources

bioRxiv2026

Stroke and Alzheimer's disease have distinct consequences on neurovascular function but synergize to increase amyloid deposition

INTRODUCTION: We examined whether stroke induces chronic cerebrovascular dysfunction and thereby exacerbates A{beta} pathology. METHODS: We exposed Tg2576 mice to a transient mild subcortical ischemia and examined cerebrovascular function at chronic timepoints as well as reactive astrocytes and A{beta} deposition post-mortem. RESULTS: Baseline cerebral blood flow and cerebrovascular reactivity (CVR) are both influenced by anesthesia regimen. A{beta} strongly impairs CVR at earlier ages, while mild ischemia impairs CVR at later ages. Mild ischemia reduces neurovascular coupling more strongly than A{beta} and synergistically increases A{beta} deposition in Tg2576 mice. DISCUSSION: Stroke-induced cerebrovascular dysfunction and astrocyte reactivity persist for long periods after the injury. Although there is variability in the spatiotemporal progression of ischemia- and A{beta}-induced vascular impairments, they generally follow the pattern of Thal staging. Surprisingly, the ischemia+A{beta} group showed the least cerebrovascular dysfunction yet an exacerbation of A{beta} deposition, suggesting that these pathologies are connected but not tightly coupled.

neuroscience↗

bioRxiv2026

APOE4 genotype and old age interact to impact cerebrovascular function, brain volume, and neuroinflammation in mice

Old age and the apolipoprotein E {varepsilon}4 (APOE4) genotype are two of the greatest risk factors for late-onset Alzheimers disease (LOAD). However, the interaction between these is poorly understood, as most preclinical studies use young mice. Therefore, we assessed the interaction between APOE genotype and age across a comprehensive set of cerebrovascular and related outcomes. We performed in vivo imaging, ex vivo cerebral artery studies, behavioral tests, and molecular analyses in male and female homozygous APOE3 and APOE4 mice at [~]6 months (young) and [~]24 months (old). APOE4 interacted with old age to lead to deficits in brain volume and greater microglia content. Old APOE4 mice also exhibited greater cerebral artery vasoconstriction to endothelin-1 (ET-1) than old APOE3 mice, a response concomitant with age-and genotype-related differences in the expression of ET-1 receptors and endothelin-converting enzyme. While we found several interactions between age and APOE genotype, only age impacted cognitive function, cerebral artery endothelial function, and arterial stiffness. In summary, we found that brain volume, neuroinflammation, and ET-1-related outcomes were influenced by the interaction of APOE genotype and age, while other outcomes were affected only by age. As such, an altered ET-1 response and greater neuroinflammation may contribute to the increased risk for LOAD in APOE4 carriers.

neuroscience↗

bioRxiv2026

Chemogenetic Pericyte Activation Reveals Broad Contractile Ability and Limbic Vulnerability to Capillary Flow Deficits

Capillary pericytes contact most of the brains microvasculature. Yet, their influence on blood flow remains incompletely understood both locally in capillary networks and across brain regions. Here, we sparsely expressed the chemogenetic actuator Gq-DREADD in mouse brain pericytes to stochastically probe their contractility and influence on tissue perfusion and oxygenation. Chemogenetic stimulation induced robust contraction of pericytes over minutes, including those with thin processes on capillary segments proximal to venules, indicating control of vascular tone across the entire capillary bed. Pericyte contraction combined circumferential compression with longitudinal tension applied through thin processes, resulting in vasoconstriction and hypoperfusion. Histology revealed hypoxic microdomains induced by sparse pericyte contraction across the brain, and enriched hypoxia in limbic structures including the amygdala and hippocampus. These microscale perfusion deficits were undetectable by arterial spin labeling MRI. Our findings reveal the in vivo mechanics of pericyte contraction and identify limbic system vulnerability to capillary flow impairment.

neuroscience↗

bioRxiv2023

Widefield in vivo imaging system with two fluorescence and two reflectance channels, a single sCMOS detector, and shielded illumination

SignificanceWidefield microscopy of the entire dorsal part of mouse cerebral cortex enables large-scale ("mesoscopic") imaging of different aspects of neuronal activity with spectrally compatible fluorescent indicators as well as hemodynamics via oxy- and deoxyhemoglobin absorption. Versatile and cost-effective imaging systems are needed for large-scale, color-multiplexed imaging of multiple fluorescent and intrinsic contrasts. AimDevelop a system for mesoscopic imaging of two fluorescent and two reflectance channels. ApproachExcitation of red and green fluorescence is achieved through epi-illumination. Hemoglobin absorption imaging is achieved using 525- and 625-nm LEDs positioned around the objective lens. An aluminum hemisphere placed between objective and cranial window provides diffuse illumination of the brain. Signals are recorded sequentially by a single sCMOS detector. ResultsWe demonstrate performance of our imaging system by recording large-scale spontaneous and stimulus-evoked neuronal, cholinergic, and hemodynamic activity in awake head-fixed mice with a curved "crystal skull" window expressing the red calcium indicator jRGECO1a and the green acetylcholine sensor GRABACh3.0. Shielding of illumination light through the aluminum hemisphere enables concurrent recording of pupil diameter changes. ConclusionsOur widefield microscope design with single camera can be used to acquire multiple aspects of brain physiology and is compatible with behavioral readouts of pupil diameter.

neuroscience↗

bioRxiv2023

Neurovascular Mechanisms of Cognitive Aging: Arteriosclerosis Precipitates Demyelination and Cognitive Decline

Arterial stiffness (arteriosclerosis) has been linked to heightened risks for cognitive decline, and ultimately for Alzheimers disease and other forms of dementia. Importantly, neurovascular outcomes generally vary according to ones biological sex. Here, capitalizing on a large sample of participants with neuroimaging and behavioral data (N = 203, age range = 18-87 years), we aimed to provide support for a hierarchical model of neurocognitive aging, which links age-related declines in cerebrovascular health to the rate of cognitive decline via a series of intervening variables, such as white matter integrity. By applying a novel piecewise regression approach to our cross-sectional sample to support Granger-like causality inferences, we show that, on average, a precipitous decline in cerebral arterial elasticity (measured with diffuse optical imaging of the cerebral arterial pulse; pulse-DOT) temporally precedes an acceleration in the development of white matter lesions by nearly a decade, with women protected from these deleterious effects until approximately age 50, the average onset of menopause. By employing multiple-mediator path analyses while controlling for sex, we show that age may impair cognition via the sequential indirect effects of arteriosclerosis and white matter atrophy on fluid, but not crystallized, abilities. Importantly, we replicate these results using pulse pressure, an independent index of arterial health, thereby providing converging evidence for the central role of arteriosclerosis as an accelerating factor in normal and pathological aging and identifying robust sex-related differences in the progression of cerebral arteriosclerosis and white matter degradation.

neuroscience↗

bioRxiv2023

A cell-type atlas from a scyphozoan jellyfish Aurelia coerulea (formerly sp.1) provides insights into changes of cell-type diversity in the transition from polyps to medusae

The life cycle of most medusozoan cnidarians is marked by the metagenesis from the asexually reproducing sessile polyp and the sexually reproducing motile medusa. At present it is unknown to what extent this drastic morphological transformation is accompanied by molecular changes in the cell type composition. Here, we provide a single cell transcriptome atlas of the cosmopolitan scyphozoan Aurelia coerulea focusing on changes in individual cell states during the transition from polyp to medusa. Notably, this transition is marked by an increase in cell type diversity, including an expansion of neural subtypes and the appearance of striated muscles. We find that two families of neuronal lineages are specified by homologous transcription factors in the sea anemone Nematostella vectensis and Aurelia coerulea, suggesting an origin in the common ancestor of medusozoans and anthozoans about 500 Myr ago. Our analysis suggests that gene duplications might be drivers for the increase of cellular complexity during the evolution of cnidarian neuroglandular lineages and highlight the close relationship of neurons and muscles. One key medusozoan-specific cell type is the striated muscle in the subumbrella. Evaluating muscle types by fibre anatomy and gene expression validation of their individual molecular profiles made it possible for the first time to investigate transcriptome differences between smooth and striated muscles. Although smooth and striated muscles are phenotypically different, both have a similar regulation of the contractile complex, reminiscent to the regulation of smooth muscles in bilaterians. This is in contrast to bilaterian striated muscles, where the regulation of muscle contraction involves Ca2+ binding troponins and their interaction with Tropomyosin. This suggests that smooth muscle contraction regulation is ancestral and the use of troponins in striated muscles only evolved in bilaterians. TeaserSingle cell transcriptome atlas across the jellyfish life cycle reveals emergence of novel medusa-specific cell types associated with expression of medusa-specific paralogs.

evolutionary biology↗

bioRxiv2021

Slow Cortical Waves via Cyclicity

Fine-grained understanding of dynamics in cortical networks is crucial in unpacking brain function. Here, we introduce a novel analytical method to characterize the dynamic interaction between distant brain regions, and apply it to data from the Human Connectome Project. Resting-state fMRI results in time series recordings of the activity of different brain regions, which are aperiodic and lacking a base frequency. Cyclicity Analysis, a novel technique robust with respect to time-reparametrizations, is effective in recovering temporal ordering of such time series along a circular trajectory without assuming any time-scale. Our analysis detected slow cortical waves of activity propagating across the brain with consistent lead-lag relationships between specific brain regions. We also observed short bursts of task-modulated strong temporal ordering that dominate overall lead-lag relationships between pairs of regions in the brain. Our results suggest the possible role played by slow waves of information transmission between brain regions that underlie emergent cognitive function.

neuroscience↗

bioRxiv2021

General Finite-Element Framework of the Virtual Fields Method in Nonlinear Elasticity

This paper presents a method to derive the virtual fields for identifying constitutive model parameters using the Virtual Fields Method (VFM). The VFM is an approach to identify unknown constitutive parameters using deformation fields measured across a given volume of interest. The general principle for solving identification problems with the VFM is first to derive parametric stress field, where the stress components at any point depend on the unknown constitutive parameters, across the volume of interest from the measured deformation fields. Applying the principle of virtual work to the parametric stress fields, one can write scalar equations of the unknown parameters and solve the obtained system of equations to deduce the values of unknown parameters. However, no rules have been proposed to select the virtual fields in identification problems related to nonlinear elasticity and there are multiple strategies possible that can yield different results. In this work, we propose a systematic, robust and automatic approach to reconstruct the systems of scalar equations with the VFM. This approach is well suited to finite-element implementation and can be applied to any problem provided that full-field deformation data are available across a volume of interest. We also successfully demonstrate the feasibility of the novel approach by multiple numerical examples. Potential applications of the proposed approach are numerous in biomedical engineering where imaging techniques are commonly used to observe soft tissues and where alterations of material properties are markers of diseased states. List of symbols O_TBL View this table: org.highwire.dtl.DTLVardef@1addce2org.highwire.dtl.DTLVardef@1808699org.highwire.dtl.DTLVardef@104dadeorg.highwire.dtl.DTLVardef@1bd527aorg.highwire.dtl.DTLVardef@71ef75_HPS_FORMAT_FIGEXP M_TBL C_TBL

bioengineering↗