Evidence map›Paper›PMID 40119525›Full record

ArticleCartilage2025

Transcriptional Analysis Reveals That the FHL1/JAK-STAT Pathway is Involved in Acute Cartilage Injury in Mice.

Jian Lu, Zhenhua Shi, Lindan Geng, Dong Ren, Haowei Hou, Guowei Ren, Shuangquan Yao, Pengcheng Wang

Abstract read
In one paragraph

Article in Cartilage, 2025. 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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0citing papers 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

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.

Jian LuDepartment of Orthopedic Surgery, Orthopedic Research Institute of Hebei Province, Third Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.
Zhenhua ShiLaboratory of Molecular Iron Metabolism, College of Life Science, Hebei Normal University, Shijiazhuang, People's Republic of China.
Lindan GengDepartment of Orthopedic Surgery, Orthopedic Research Institute of Hebei Province, Third Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.
Dong RenDepartment of Orthopedic Surgery, Orthopedic Research Institute of Hebei Province, Third Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.
Haowei HouOrthopedic Research Institute of Hebei Province, Third Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.
Guowei RenDepartment of Orthopedic Surgery, Orthopedic Research Institute of Hebei Province, Third Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.
Shuangquan YaoDepartment of Orthopedic Surgery, Orthopedic Research Institute of Hebei Province, Third Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.
Pengcheng WangDepartment of Orthopedic Surgery, Orthopedic Research Institute of Hebei Province, Third Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.ORCID 0000-0002-4772-4538

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ObjectiveThis study aimed to identify genes and signaling pathways associated with acute cartilage injury using RNA sequencing (RNA-seq).MethodsKnee joint cartilage samples were collected from normal mice and 2 models of acute cartilage injury (non-invasive and groove models) within an 8-hour time limit. RNA-seq revealed differential gene expression between the injury models and controls, with subsequent validation using real-time quantitative polymerase chain reaction (RT-qPCR) for 9 representative genes.ResultsCompared to controls, the non-invasive model showed 36 differentially expressed genes (DEGs) (13 up-regulated, 23 down-regulated), with

Indexed as

acute cartilage injuryFhl1/JAK-STATGeneRNA-seq

Identifiers

PMID40119525
PMCPMC11948231

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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.