Evidence map›Paper›PMID 37380850›Full record

ArticleBiochemical genetics2024

Gene Expression in Synovium of Rotator Cuff Tear Patients Determined by RNA Sequencing.

Hong Qian, Jia Meng, Tao Yuan, Hui Jiang, Li Zhou, Lei Zhang, Jianning Zhao, Nirong Bao

Abstract read
PubMed Publisher
In one paragraph

Article in Biochemical genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

8 authors at 2 institutions in 1 country.

Hong Qian *Department of Orthopedics, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, #305, East Zhongshan Road, Nanjing, 210002, China.
Jia Meng *Department of Orthopedics, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, #305, East Zhongshan Road, Nanjing, 210002, China.
Tao YuanDepartment of Orthopedics, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, #305, East Zhongshan Road, Nanjing, 210002, China.
Hui JiangDepartment of Orthopedics, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, #305, East Zhongshan Road, Nanjing, 210002, China.
Li ZhouDepartment of Orthopedics, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, #305, East Zhongshan Road, Nanjing, 210002, China.
Lei Zhang *Department of Orthopedics, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, #305, East Zhongshan Road, Nanjing, 210002, China. leizhang1987md@163.com.
Jianning Zhao *Department of Orthopedics, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, #305, East Zhongshan Road, Nanjing, 210002, China. zhaojianning.0207@163.com.
Nirong Bao *Department of Orthopedics, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, #305, East Zhongshan Road, Nanjing, 210002, China. bnrbnr@sina.com.
Southern Medical University · CNNanjing Medical University · CN

Funding

Foundation Research Project of Jiangsu Province BK20221555National Natural Science Foundation of China 81772318Natural Science Foundation of Jiangsu Province BE2017723Research Subject of CMC Logistic Support Department 21XLS18
6 · The paper itself

Abstract

Rotator cuff tear (RCT) is a common shoulder disorder related to pain and dysfunction. However, the pathological mechanism of RCT remains unclear. Thus, this study aims to investigate the molecular events in RCT synovium and identify possible target genes and pathways as determined by RNA sequencing (RNA-Seq). The synovial tissue was biopsied from 3 patients with RCT (RCT group) and 3 patients with shoulder instability (Control group) during arthroscopic surgery. Then, differentially expressed (DE) mRNAs, long non-coding RNAs (lncRNAs) and micro RNAs (miRNAs) were comprehensively profiled by RNA-Seq. Gene ontology (GO) enrichment, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, and competing endogenous RNA (ceRNA) network analysis were performed to identify the potential functions of these DE genes. 447 mRNAs, 103 lncRNAs and 15 miRNAs were identified differentially expressed. The DE mRNAs were highlighted in inflammatory pathway including up-regulated T cell costimulation, positive regulation of T cell activation, and T cell receptor signaling. Down-regulated fatty acid degradation pathway and 5'-AMP-activated protein kinase (AMPK) signaling in RCT group are also enriched. Validation assay showed that the expression of pro-inflammatory molecules including IL21R, CCR5, TNFSF11, and MMP11 was significantly increased in RCT group compared with Control group. CeRNA analysis further revealed lncRNA-miRNA-mRNA regulatory networks involving IL21R and TNFSF11 in RCT. Activated synovial inflammation is the remarkable event of RCT. Importantly, increased T cell activation and disordered fatty acid metabolism signaling might play a significant role. ceRNA networks involving IL21R and TNFSF11 identified could potentially control the progression of RCT. In conclusion, our findings could provide new evidence for the molecular mechanisms of RCT and might identify new therapeutic targets.

Indexed as

MicroRNAsRNA, Long NoncodingRotator Cuff InjuriesFatty AcidsGene ExpressionGene Regulatory NetworksHumansReceptors, Interleukin-21RNA, MessengerSequence Analysis, RNAFatty AcidsMicroRNAsReceptors, Interleukin-21RNA, Long NoncodingRNA, MessengerFatty acid degradationRNA sequencingRotator cuff tearSynoviumT cell signaling

Identifiers

PMID37380850
OpenAlexW4382394530

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.