Evidence map›Paper›PMID 36945316›Full record

ArticleJournal of inflammation research2023

Time-Series Expression Profile Analysis of Post-Traumatic Joint Contracture in Rats at the Early Stages of the Healing Process.

Yuxin Zhang, Zhigang Wu, Shenji Lu, Minghui Lin, Xiaokun Yue, Zengguang Wang, Bin Cai

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Article in Journal of inflammation research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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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

7 authors at 4 institutions in 1 country.

Yuxin Zhang *Department of Rehabilitation Medicine, Hainan Western Central Hospital, Danzhou, Hainan, People's Republic of China.
Zhigang Wu *Department of Rehabilitation Medicine, Hainan Western Central Hospital, Danzhou, Hainan, People's Republic of China.
Shenji LuDepartment of Rehabilitation Medicine, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
Minghui LinDepartment of Rehabilitation Medicine, Hainan Western Central Hospital, Danzhou, Hainan, People's Republic of China.
Xiaokun YueShanghai Key Laboratory of Orthopedic Implants, Department of Orthopaedic Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
Zengguang WangShanghai Key Laboratory of Orthopedic Implants, Department of Orthopaedic Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
Bin CaiDepartment of Rehabilitation Medicine, Hainan Western Central Hospital, Danzhou, Hainan, People's Republic of China.
Hainan 301 Hospital · CNShanghai Jiao Tong University · CNHainan Branch of People's Liberation Army General Hospital · CNShanghai Ninth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to characterize the gene expression profile at the early stages of the healing process of post-traumatic joint contracture (PTJC). Methods: Twelve rats were used for PTJC model establishment and were divided into four groups according to the sampling time: S0d, S3d, S7d and S2w. Transcriptome sequencing was performed on fibrotic joint capsule samples in four groups followed by bioinformatics analyses including differentially expressed genes (DEGs) screening, Short Time-series Expression Miner (STEM) analysis, network construction, and pathway analysis. Five important genes were validated by qRT-PCR. Results: A total of 1171, 1052 and 793 DEGs were screened in S3d vs S0d, S7d vs S0d, and S2w vs S0d comparison groups, respectively. A total of 383 overlapping genes were screened out, which were significantly enriched in some inflammatory functions and pathways. Through STEM analysis, three clusters were identified, including 105, 57 and 57 DEGs, respectively. Then, based on the cluster genes, 10 genes, such as Conclusion: The present study screened out several genes with significant changes in expression levels at the early stages of the healing process in PTJC, such as

Indexed as

joint capsule fibrosispost-traumatic joint contractureShort Time-series Expression Miner analysistranscriptome sequencing

Identifiers

PMID36945316
PMCPMC10024884
OpenAlexW4324365190

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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.