Evidence map›Paper›PMID 42857019›Full record

ArticleFrontiers in cell and developmental biology2026

Multimodal profiling uncovers an aging-associated ETS1-MYO1B vascular niche responsive to ipragliflozin.

Mingzhu Jin, Yue Zhang, Haien Wu, Bo You, Ling Li, Xiuping Han, Yan Wu

Abstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Mingzhu Jin *Department of Dermatology, Shengjing Hospital, China Medical University, Shenyang, China.
Yue Zhang *Department of Pathology, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital & Institute, Shenyang, China.
Haien WuDepartment of Dermatology, Shengjing Hospital, China Medical University, Shenyang, China.
Bo YouDepartment of Nursing, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital & Institute, Shenyang, China.
Ling LiDepartment of Nursing, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital & Institute, Shenyang, China.
Xiuping HanDepartment of Dermatology, Shengjing Hospital, China Medical University, Shenyang, China.
Yan WuDepartment of Dermatology, Shengjing Hospital, China Medical University, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Tissue aging involves complex changes in vascular, immune, and stromal compartments that collectively reshape the local tissue ecosystem and may contribute to age-related diseases, including cancer, fibrotic diseases, and cardiovascular disease. However, it remains unclear whether reproducible, cell-specific vascular niche states emerge during aging and whether these states can be therapeutically targeted. Methods: A machine-learning single-cell age-clock model was constructed using three published human skin single-cell transcriptomic datasets and validated against chronological age. Vascular subpopulations were resolved by NMF clustering and diffusion pseudotime analysis. These findings were further validated in 15 human skin samples using H&E-based digital image analysis and immunohistochemistry. An inflammatory HMEC-1 model was used for RT-qPCR, flow cytometry, SA-β-gal staining, siRNA knockdown, and ChIP-qPCR. Structure-based virtual screening of an FDA drug library, molecular dynamics simulation, and biolayer interferometry were used to identify and validate ETS1-targeting compounds. Efficacy was assessed Results: Predicted age correlated with chronological age, with vascular endothelial cells, lymphatic endothelial cells, and pericytes carrying the strongest aging signals. Aged skin showed a higher low-hematoxylin-area burden, reduced boundary-complexity variation, and reduced vascular-area heterogeneity. An aging-associated pericyte subcluster marked by MYO1B was identified, together with a continuous endothelial-to-pericyte transition (EndoPT). TGF-β1/IL-1β stimulation induced MYO1B- and PDGFRB-positive pericyte-like transition and senescence in HMEC-1 cells. ETS1 bound the MYO1B promoter and was associated with aging status. Ipragliflozin bound the transcription-regulatory region of ETS1, suppressed the ETS1-MYO1B axis, reduced EndoPT and senescence Conclusion: Multimodal profiling identifies an aging-associated ETS1-MYO1B vascular niche characterized by heightened inflammation, endothelial-to-pericyte plasticity, and cellular senescence, and demonstrates that this niche can be therapeutically targeted with ipragliflozin. As these processes also contribute to the microenvironmental remodeling observed in cancer and other age-related diseases, this niche may provide broader insight into how vascular and stromal alterations shape tissue aging and disease susceptibility.

Indexed as

endothelial-to-pericyte transitionETS1ipragliflozinMYO1Bskin agingvascular niche

Identifiers

PMID42857019
PMCPMC13649714

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.