Evidence map›Paper›PMID 38172847›Full record

ArticleBMC musculoskeletal disorders2024

Analysis of differentially expressed genes in torn rotator cuff tendon tissues in diabetic patients through RNA-sequencing.

Ziyang Yuan, Xu Zhu, Yike Dai, Lin Shi, Ziyang Feng, Zhiyao Li, Naicheng Diao, Ai Guo, Heyong Yin, Lifeng Ma

Open access · goldAbstract read
In one paragraph

Article in BMC musculoskeletal disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
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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

10 authors at 3 institutions in 1 country.

Ziyang Yuan *Department of Orthopaedics, Beijing Friendship Hospital, Capital Medical University, Beijing, 100053, China.
Xu Zhu *Department of Orthopaedics, Beijing Friendship Hospital, Capital Medical University, Beijing, 100053, China.
Yike DaiDepartment of Orthopaedics, Beijing Friendship Hospital, Capital Medical University, Beijing, 100053, China.
Lin ShiDepartment of Orthopaedics, Beijing Friendship Hospital, Capital Medical University, Beijing, 100053, China.
Ziyang FengDepartment of Orthopaedics, Beijing Friendship Hospital, Capital Medical University, Beijing, 100053, China.
Zhiyao LiDepartment of Orthopaedics, Beijing Friendship Hospital, Capital Medical University, Beijing, 100053, China.
Naicheng DiaoDepartment of Orthopaedics, Beijing Friendship Hospital, Capital Medical University, Beijing, 100053, China.
Ai GuoDepartment of Orthopaedics, Beijing Friendship Hospital, Capital Medical University, Beijing, 100053, China. guoaij@139.com.
Heyong YinDepartment of Orthopaedics, Beijing Friendship Hospital, Capital Medical University, Beijing, 100053, China. yinhy_cmu@yeah.net.
Lifeng MaDepartment of Orthopaedics, Beijing Friendship Hospital, Capital Medical University, Beijing, 100053, China. malifeng@ccmu.edu.cn.
Beijing Friendship Hospital · CNBeijing Luhe Hospital Affiliated to Capital Medical University · CNCapital Medical University · CN

Funding

Beijing Hospitals Authority Youth Programme QML20230119Beijing Municipal Science and Technology Commission 7222035Beijing Tongzhou Health Development Special Project KJ2023CX008Beijing Tongzhou Talent Development Support Program YHLD2017009National Natural Science Foundation of China 82002285Xicheng District Science and Technology Special Project XCSTS-SD2022-08
6 · The paper itself

Abstract

backgroundRotator cuff tears (RCT) is a common musculoskeletal disorder in the shoulder which cause pain and functional disability. Diabetes mellitus (DM) is characterized by impaired ability of producing or responding to insulin and has been reported to act as a risk factor of the progression of rotator cuff tendinopathy and tear. Long non-coding RNAs (lncRNAs) are involved in the development of various diseases, but little is known about their potential roles involved in RCT of diabetic patients.

methodsRNA-Sequencing (RNA-Seq) was used in this study to profile differentially expressed lncRNAs and mRNAs in RCT samples between 3 diabetic and 3 nondiabetic patients. Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway analysis were performed to annotate the function of the differentially expressed genes (DEGs). LncRNA-mRNA co-expression network and competing endogenous RNA (ceRNA) network were constructed to elucidate the potential molecular mechanisms of DM affecting RCT.

resultsIn total, 505 lncRNAs and 388 mRNAs were detected to be differentially expressed in RCT samples between diabetic and nondiabetic patients. GO functional analysis indicated that related lncRNAs and mRNAs were involved in metabolic process, immune system process and others. KEGG pathway analysis indicated that related mRNAs were involved in ferroptosis, PI3K-Akt signaling pathway, Wnt signaling pathway, JAK-STAT signaling pathway and IL-17 signaling pathway and others. LncRNA-mRNA co-expression network was constructed, and ceRNA network showed the interaction of differentially expressed RNAs, comprising 5 lncRNAs, 2 mRNAs, and 142 miRNAs. TF regulation analysis revealed that STAT affected the progression of RCT by regulating the apoptosis pathway in diabetic patients.

conclusionsWe preliminarily dissected the differential expression profile of lncRNAs and mRNAs in torn rotator cuff tendon between diabetic and nondiabetic patients. And the bioinformatic analysis suggested some important RNAs and signaling pathways regarding inflammation and apoptosis were involved in diabetic RCT. Our findings offer a new perspective on the association between DM and progression of RCT.

Indexed as

Diabetes MellitusMicroRNAsRNA, Long NoncodingRotator Cuff InjuriesGene Regulatory NetworksHumansRNA, MessengerRotator CuffMicroRNAsRNA, Long NoncodingRNA, MessengerDiabetes mellitusLong non-coding RNARNA sequencingRotator cuff tear

Identifiers

PMID38172847
PMCPMC10763306
OpenAlexW4390570508

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LicenceCC BY
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Registered trials

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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.