Evidence map›Paper›PMID 42437187›Full record

ArticleJournal of inflammation research2026

Astragaloside IV Alleviates Osteoarthritis by Upregulating ETS2: A Bioinformatics and Experimental Study.

Lingxing Li, Fulai Zhao, Wenyun Kui, Wenlan Du, Youwei Wang, Shuang Liu, Yongpeng Xue, Jiafan Yang, Weiwei Da, Xiaofeng Li and 1 more

Abstract read
In one paragraph

Article in Journal of inflammation research, 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

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

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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

11 authors.

Lingxing LiShanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 200071, People's Republic of China.
Fulai ZhaoShanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 200071, People's Republic of China.
Wenyun KuiShanghai YangZhi Rehabilitation Hospital, School of Medicine, Tongji University, Shanghai, 201613, People's Republic of China.
Wenlan DuShanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 200071, People's Republic of China.ORCID 0009-0004-9920-9396
Youwei WangShanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 200071, People's Republic of China.ORCID 0009-0007-3154-4720
Shuang LiuShanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 200071, People's Republic of China.
Yongpeng XueShanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 200071, People's Republic of China.
Jiafan YangShanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 200071, People's Republic of China.
Weiwei DaShanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 200071, People's Republic of China.ORCID 0000-0002-9752-3355
Xiaofeng LiShanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 200071, People's Republic of China.
Chunchun XueShanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 200071, People's Republic of China.ORCID 0000-0002-4457-7173

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Osteoarthritis (OA) is a common degenerative joint disorder and there are currently no effective therapies to impede its destructive progression. Astragaloside IV (AS-IV), a natural compound, exhibits promising chondroprotective effects, yet its specific molecular mechanisms remain poorly clarified. Thus, this study employed transcriptomic profiling combined with bioinformatics analysis to identify OA-related characteristic genes, and further conducted experiments to verify the potential therapeutic mechanism of AS-IV. Methods: Analysis of the GSE114007 dataset was performed using False Discovery Rate (FDR)-adjusted Results: We identified 1548 differentially expressed genes (DEGs) primarily enriched in the extracellular matrix, with PI3K-Akt signaling closely related to OA. The MEBlack module was strongly associated with OA (cor = -0.79, p<0.0001). GSEA showed the feature genes were associated with the adipocytokine signaling pathway and glycosaminoglycan biosynthesis. Furthermore, molecular docking and CETSA indicated that ETS2 served as a potential interacting target of AS-IV. In the destabilization of the medial meniscus (DMM)-induced OA mice, the results of Safranin O/Fast Green staining confirmed that AS-IV alleviated cartilage loss and lowered OARSI scores. Mechanistically, AS-IV slowed OA progression by upregulating Col2a1 expression, suppressing MMP13 levels, and reducing inflammatory markers such as IL-1β and TNF-α. Importantly, AS-IV enhanced ETS2 expression in osteoarthritic chondrocytes. Consistently, in vitro functional assays revealed that knockdown of ETS2 in chondrogenic ATDC-5 cells partially reversed both the chondroprotective and anti-inflammatory effects of AS-IV, verifying the essential role of ETS2 in mediating the therapeutic effects of AS-IV against OA. Conclusion: Collectively, these findings point to the vital function of ETS2 in OA pathogenesis and demonstrate that AS-IV attenuates cartilage degradation and inflammatory responses by upregulating ETS2, thereby retarding OA development.

Indexed as

astragaloside IVbioinformaticscartilage degenerationETS2Inflammationosteoarthritis

Identifiers

PMID42437187
PMCPMC13355634

What Socratic holds

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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 Socratic graph.