Evidence map›Paper›PMID 39857775›Full record

ArticleBiomedicines2025

Differential Gene Expression Analysis in a Lumbar Spinal Stenosis Rat Model via RNA Sequencing: Identification of Key Molecular Pathways and Therapeutic Insights.

Jin Young Hong, Wan-Jin Jeon, Hyunseong Kim, Changhwan Yeo, Hyun Kim, Yoon Jae Lee, In-Hyuk Ha

Abstract read
In one paragraph

Article in Biomedicines, 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

7 authors.

Jin Young HongJaseng Spine and Joint Research Institute, Jaseng Medical Foundation, Seoul 135-896, Republic of Korea.
Wan-Jin JeonJaseng Spine and Joint Research Institute, Jaseng Medical Foundation, Seoul 135-896, Republic of Korea.
Hyunseong KimJaseng Spine and Joint Research Institute, Jaseng Medical Foundation, Seoul 135-896, Republic of Korea.
Changhwan YeoJaseng Spine and Joint Research Institute, Jaseng Medical Foundation, Seoul 135-896, Republic of Korea.ORCID 0000-0001-8738-6695
Hyun KimJaseng Spine and Joint Research Institute, Jaseng Medical Foundation, Seoul 135-896, Republic of Korea.
Yoon Jae LeeJaseng Spine and Joint Research Institute, Jaseng Medical Foundation, Seoul 135-896, Republic of Korea.
In-Hyuk HaJaseng Spine and Joint Research Institute, Jaseng Medical Foundation, Seoul 135-896, Republic of Korea.ORCID 0000-0002-5020-6723

Funding

Korea Health Industry Development Institute RS-2023-KH139336
6 · The paper itself

Abstract

BACKGROUND/

objectivesLumbar spinal stenosis (LSS) is a degenerative condition characterized by the narrowing of the spinal canal, resulting in chronic pain and impaired mobility. However, the molecular mechanisms underlying LSS remain unclear. In this study, we performed RNA sequencing (RNA-seq) to investigate differential gene expression in a rat LSS model and identify the key genes and pathways involved in its pathogenesis.

methodsWe used bioinformatics analysis to identify significant alterations in gene expression between the LSS-induced and sham groups.

resultsPearson's correlation analysis demonstrated strongly consistent intragroup expression (r > 0.9), with distinct gene expression between the LSS and sham groups. A total of 113 differentially expressed genes (DEGs) were identified, including upregulated genes such as

conclusionsOur findings provide novel insights into the molecular mechanisms underlying LSS and offer potential avenues for the development of targeted therapies aimed at mitigating disease progression and improving patient outcomes.

Indexed as

differential gene expressionlumbar spinal stenosismolecular pathwaysRNA sequencingtherapeutic targets

Identifiers

PMID39857775
PMCPMC11762803

What Socratic holds

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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 Socratic graph.