Evidence map›Paper›PMID 39200304›Full record

ArticleBiomedicines2024

Bioinformatics Identification and Experimental Verification of Disulfidptosis-Related Genes in the Progression of Osteoarthritis.

Siyang Cao, Yihao Wei, Yaohang Yue, Deli Wang, Ao Xiong, Jun Yang, Hui Zeng

Abstract read
In one paragraph

Article in Biomedicines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
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  6. Review
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

7 authors.

Siyang CaoNational & Local Joint Engineering Research Centre of Orthopaedic Biomaterials, Peking University Shenzhen Hospital, Shenzhen 518036, China.ORCID 0000-0001-7409-3746
Yihao WeiNational & Local Joint Engineering Research Centre of Orthopaedic Biomaterials, Peking University Shenzhen Hospital, Shenzhen 518036, China.
Yaohang YueNational & Local Joint Engineering Research Centre of Orthopaedic Biomaterials, Peking University Shenzhen Hospital, Shenzhen 518036, China.
Deli WangNational & Local Joint Engineering Research Centre of Orthopaedic Biomaterials, Peking University Shenzhen Hospital, Shenzhen 518036, China.
Ao XiongNational & Local Joint Engineering Research Centre of Orthopaedic Biomaterials, Peking University Shenzhen Hospital, Shenzhen 518036, China.
Jun YangDepartment of Radiology, Peking University Shenzhen Hospital, Shenzhen 518036, China.
Hui ZengNational & Local Joint Engineering Research Centre of Orthopaedic Biomaterials, Peking University Shenzhen Hospital, Shenzhen 518036, China.

Funding

Guangdong Basic and Applied Basic Research Foundation 2021A1515012586Guangdong Basic and Applied Basic Research Foundation 2021A1515220037Guangdong Basic and Applied Basic Research Foundation 2021A1515220054Guangdong Basic and Applied Basic Research Foundation 2022A1515220038Guangdong Basic and Applied Basic Research Foundation 2022A1515220111Guangdong Basic and Applied Basic Research Foundation 2022A1515220165Guangdong Basic and Applied Basic Research Foundation 2022B1515120046National & Local Joint Engineering Research Centre of Orthopaedic Biomaterials XMHT20190204007National Natural Science Foundation of China 82001319National Natural Science Foundation of China 82102568National Natural Science Foundation of China 82172432Research and Development Projects of Shenzhen JCYJ20190809152409606Research and Development Projects of Shenzhen JCYJ20210324105806016Research and Development Projects of Shenzhen JCYJ20210324110214040Research and Development Projects of Shenzhen JCYJ20220531094214032Research and Development Projects of Shenzhen JCYJ20220531094406015Sanming Project of Medicine in Shenzhen SZSM202211038Scientific Research Foundation of Peking University Shenzhen Hospital KYQD2021099Shenzhen Key Laboratory of Orthopaedic Diseases and Biomaterials Research ZDSYS20220606100602005Shenzhen Key Medical Discipline Construction Fund SZXK023Shenzhen Sustainable Development Project KCXFZ20201221173411031
6 · The paper itself

Abstract

backgroundOsteoarthritis (OA) is a disabling and highly prevalent condition affecting millions worldwide. Recently discovered, disulfidptosis represents a novel form of cell death induced by the excessive accumulation of cystine. Despite its significance, a systematic exploration of disulfidptosis-related genes (DRGs) in OA is lacking.

methodsThis study utilized three OA-related datasets and DRGs. Differentially expressed (DE)-DRGs were derived by intersecting the differentially expressed genes (DEGs) from GSE114007 with DRGs. Feature genes underwent screening through three machine learning algorithms. High diagnostic value genes were identified using the receiver operating characteristic curve. Hub genes were confirmed through expression validation. These hub genes were then employed to construct a nomogram and conduct enrichment, immune, and correlation analyses. An additional validation of hub genes was performed through in vitro cell experiments.

results

conclusionsTwo hub genes,

Indexed as

disulfidptosishub genemachine learningosteoarthritissingle cell analysis

Identifiers

PMID39200304
PMCPMC11351109

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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.