Evidence map›Paper›PMID 42256401›Full record

ArticleFrontiers in pharmacology2026

Integrative systems biology identifies SIRT1 as a senescence-related theranostic target in atherosclerosis and poliumoside as a natural activator.

Xiaolong Wang, Runlu Shi, Chen Ji, Huilin Li, Ziwen Jia, Xin Tian, Xi Xie, Yanping Wang, Qiao-Ping Wang

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Xiaolong Wang *Laboratory of Metabolism and Aging, School of Pharmaceutical Sciences (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China.
Runlu Shi *Laboratory of Metabolism and Aging, School of Pharmaceutical Sciences (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China.
Chen JiLaboratory of Metabolism and Aging, School of Pharmaceutical Sciences (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China.
Huilin LiLaboratory of Metabolism and Aging, School of Pharmaceutical Sciences (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China.
Ziwen JiaLaboratory of Metabolism and Aging, School of Pharmaceutical Sciences (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China.
Xin TianLaboratory of Metabolism and Aging, School of Pharmaceutical Sciences (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China.
Xi XieState Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China.
Yanping WangDepartment of Pharmacy, Ningxia Chinese Medicine Research Center, Yinchuan, Ningxia, China.
Qiao-Ping WangLaboratory of Metabolism and Aging, School of Pharmaceutical Sciences (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cellular senescence contributes to atherosclerotic plaque progression and instability, yet senescence-related diagnostic biomarkers and actionable targets remain incompletely defined. Purpose: To identify senescence-related diagnostic/therapeutic targets in atherosclerosis using integrative systems biology, and to prioritize natural products that modulate the lead target with experimental validation. Methods: Transcriptomic profiles from GSE21545 (126 carotid plaques and 97 paired peripheral blood mononuclear cell samples) were analyzed to identify differentially expressed genes and intersected with CellAge senescence genes. WGCNA and two machine-learning approaches (LASSO and SVM-RFE) were used for feature selection and target prioritization, followed by ROC analysis, functional enrichment, immune infiltration analysis, and PPI network construction. A natural product library (5,565 compounds) was screened against SIRT1 via hierarchical docking, MM-GBSA rescoring, and 100-ns molecular dynamics simulations. Lead compound activity was tested in H Results: We identified 255 senescence-related differentially expressed genes enriched in oxidative stress and inflammatory pathways. WGCNA and machine learning converged on 10 hub genes, with SIRT1 prioritized based on network centrality and diagnostic performance (AUC = 0.997, 95% CI: 0.992-1.000) and reduced expression in plaque samples. Virtual screening nominated Poliumoside as a high-affinity SIRT1 binder with stable binding dynamics in molecular simulations. In HUVECs, Poliumoside (40 μM) mitigated H Conclusion: This study highlights SIRT1 as a senescence-related theranostic candidate in atherosclerosis and identifies Poliumoside as a natural SIRT1 activator with endothelial protective activity

Indexed as

atherosclerosisbioinformaticscellular senescencenatural productspoliumosideSIRT1

Identifiers

PMID42256401
PMCPMC13236649

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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.