bioRxiv Science⌕ Search
Home/Archive/bioRxiv

bioRxiv · 10.1101/2023.02.02.526751

Endothelial cell derived microvesicles modulate cerebrovascular and brain aging via miR-17-5p and serve as potential biomarkers for vascular aging

Zhang, H.·Xie, Z.·Zhao, Y.·Chen, Y.·Xu, X.·Ye, Y.·Yang, Y.·Zhong, W.·Zhao, B.·Ma, X.
View original source ↗Export metadata ↓

Abstract

Vascular aging, characterized by brain endothelial cells (ECs) senescence and dysfunction, has been known to lead to various age-related cerebrovascular and neurodegenerative diseases. However, its underlying mechanisms remain elusive. ECs derived microvesicles (EMVs) and exosomes (EEXs) carry the characteristics of parent cells and transfer their contents to modulate the functions of recipient cells, holding the potential to evaluate or regulate vascular aging. Here, we found that young or aged ECs released EMVs were more effective than their released EEXs on alleviating or aggravating mice cerebrovascular and brain aging as indicated by SA-{beta}-gal staining, cerebral blood flow, blood brain barrier function, aging related markers and cognitive ability test. We further identified that these EMVs regulated cerebrovascular and brain aging by transferring miR-17-5p and could modulate ECs senescence and functions via miR-17-5p/PI3K/Akt pathway. Plasma EMVs and their contained miR-17-5p (EMV-miR-17-5p) were significantly increased or decreased in the elderly, and were closely correlated with vascular aging. Receiver Operating Characteristic (ROC) analysis showed that the area under the curve was 0.724 for EMVs, 0.77 for EMV-miR-17-5p and 0.815 for their combination for distinguishing vascular aging. Our results revealed the novel roles for EMVs that could more effectively modulate vascular and brain aging than EEXs by regulating ECs functions through miR-17-5p/PI3K/Akt pathway, and also suggested that EMVs and EMV-miR-17-5p represent promising biomarkers and therapeutic targets for vascular aging.

Explore related subjects

neurosciencePreprint

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Zhang, H., Xie, Z., Zhao, Y., Chen, Y., Xu, X., Ye, Y., Yang, Y., Zhong, W., Zhao, B., Ma, X.. 2023-02-03. Endothelial cell derived microvesicles modulate cerebrovascular and brain aging via miR-17-5p and serve as potential biomarkers for vascular aging. https://doi.org/10.1101/2023.02.02.526751

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

bioRxiv2026

The Unreasonable Effectiveness of Cell Types in Describing Neuronal Physiological Features

Single-cell RNA sequencing (scRNA-seq) captures detailed gene expression profiles at scale, while patch-clamp recordings measure intrinsic neuronal electrophysiological properties. Modeling the relations between these two modalities remains a challenge. Here, we compare how well electrophysiological features can be predicted by traditional transcriptomic cell type classification, representations derived from a foundational model (scGPT) pretrained on large-scale scRNA-seq datasets, ion channel-coding genes, and highly variable genes. Using paired transcriptomic and electrophysiological patch-sequencing data from 495 human neurons from neurosurgical tissue, we find that cluster-level cell type representations consistently outperform highly variable gene selection, ion channel gene selection, and context-enriched scGPT embeddings. Notably, performance varies across model architectures and initializations, and the best results are obtained by combining the outputs of separate cell type and scGPT-based models. Together, these findings suggest that traditional discrete cellular classification is highly effective in predicting physiological features. For maximum performance it can be complemented by pretrained transformer models.

neuroscience↗
bioRxiv2026

A nonlinear inhibition pathway underlying cortical responses to tuned holographic optogenetic perturbations

Optogenetics enables causal manipulation of cortical activity. Perturbation responses can be counterintuitive due to network interactions, making theory essential for predicting them. Existing approaches often rely on linear approximations, which fail for many biologically relevant perturbations. Here we develop a nonlinear theory of responses to holographic perturbations in cell-type-specific recurrent networks with structured connectivity. We fit a nonlinear model to mouse V1 data, which shows cotuned-ensemble suppression: perturbing spatially clustered neurons with similar preferred orientations yields markedly stronger short-range suppression than perturbing untuned ensembles. We show that cotuned-ensemble suppression arises from a feature-tuned, nonlinear inhibition pathway implicating somatostatin-positive (SST) interneurons. The theory predicts that cotuned ensembles suppress parvalbumin-positive (PV) neurons but facilitate SST neurons, and links the degree of cotuned-ensemble suppression or facilitation to the variance of the SST response. This framework identifies mechanisms by which nonlinear inhibition sculpts cortical dynamics and establishes a predictive basis for targeted optogenetic interventions.

neuroscience↗
bioRxiv2026

Proteomic signatures of APOE ε4 across human tissues and cell types in Alzheimers disease

The apolipoprotein E {varepsilon}4 (APOE {varepsilon}4) allele is the strongest genetic risk factor for late-onset Alzheimers disease (AD). However, the underlying molecular mechanisms remain unclear. This study included 1691 participants from the Religious Orders Study and Rush Memory and Aging Project (ROSMAP), 1226 participants from the Accelerating Medicines Partnership - Alzheimers Disease (AMP-AD) Diverse Cohorts Study, and 735 participants from the Alzheimers Disease Neuroimaging Initiative (ADNI). To characterise APOE {varepsilon}4 molecular effects, we analysed proteomic data from plasma, cerebrospinal fluid (CSF), and induced pluripotent stem cell (iPSC)-derived astrocytes and neurons, as well as transcriptomic and proteomic data from multiple brain regions. The association of APOE {varepsilon}4 with AD neuropathology was also examined. APOE {varepsilon}4 carriers shared a plasma proteomic signature enriched for immune processes, irrespective of AD diagnosis. A machine learning classifier trained on this signature discriminated APOE {varepsilon}4 carriers from non-carriers in an independent cohort using CSF proteomics. APOE {varepsilon}4 carriage was associated with higher Braak stages and Consortium to Establish a Registry for Alzheimers Disease (CERAD) score. However, only limited APOE {varepsilon}4-associated transcriptomic and proteomic changes were observed in bulk brain tissue, with poor cross-layer concordance. Proteomic analyses of iPSC-derived astrocytes and neurons further revealed cell-type-specific APOE {varepsilon}4-associated changes. APOE {varepsilon}4 is associated with a consistent proteomic signature across plasma and CSF. Its molecular effects in the brain differ across cell types, brain regions and molecular layers. These findings support the need for cell-type-resolved multi-omic studies to elucidate how APOE {varepsilon}4 confers AD risk.

neuroscience↗