Evidence map›Paper›PMID 37303521›Full record

ArticleHeliyon2023

Unearths IFNB1 immune infiltrates in SOP-related ossification of ligamentum flavum pathogenesis.

You Zhang, Hongwei Huang, Honglin Chen, Peng Zhang, Yu Liu, Yanchi Gan, Xianwei Yan, Bin Xie, Hao Liu, Bowen He and 4 more

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

14 authors at 2 institutions in 1 country.

You ZhangGuangzhou University of Chinese Medicine, Guangzhou 510405, China.
Hongwei HuangGuangzhou University of Chinese Medicine, Guangzhou 510405, China.
Honglin ChenGuangzhou University of Chinese Medicine, Guangzhou 510405, China.
Peng ZhangGuangzhou University of Chinese Medicine, Guangzhou 510405, China.
Yu LiuGuangzhou University of Chinese Medicine, Guangzhou 510405, China.
Yanchi GanGuangzhou University of Chinese Medicine, Guangzhou 510405, China.
Xianwei YanGuangzhou University of Chinese Medicine, Guangzhou 510405, China.
Bin XieGuangzhou University of Chinese Medicine, Guangzhou 510405, China.
Hao LiuGuangzhou University of Chinese Medicine, Guangzhou 510405, China.
Bowen HeGuangzhou University of Chinese Medicine, Guangzhou 510405, China.
Jingjing TangThe First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510405, China.
Gengyang ShenThe First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510405, China.
Xiaobing JiangThe First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510405, China.
Hui RenThe First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510405, China.
Guangzhou University of Chinese Medicine · CNFirst Affiliated Hospital of Guangzhou University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ossification of ligamentum flavum (OLF) is a hidden, indolent disease condition with variable unexplained etiology and pathology. Growing evidences show a correlation between senile osteoporosis (SOP) and OLF, but the fundamental relationship between SOP and OLF remains unclear. Therefore, the purpose of this work is to investigate unique SOP-related genes and their potential functions in OLF. Methods: Gene Expression Omnibus (GEO) database was utilized to gather the mRNA expression data (GSE106253) and then analyzed by R software. A variety of methods, including ssGSEA, machine learning (LASSO and SVM-RFE), GO and KEGG enrichment, PPI network, transcription factor enrichment analysis (TFEA), GSEA and xCells were employed to verified the critical genes and signaling pathways. Furthermore, ligamentum flavum cells were cultured and used in vitro to identify the expression of the core genes. Results: The preliminary identification of 236 SODEGs revealed their involvement in BP pathways associated with ossification, inflammation, and immune response, including the TNF signaling pathway, PI3K/AKT signaling pathway and osteoclast differentiation. Four down-regulated genes (SERPINE1, SOCS3, AKT1, CCL2) and one up-regulated gene (IFNB1) were among the five hub SODEGs that were validated. Additionally, they were performed by ssGSEA and xCell to show the relationship of immune cells infiltrating in OLF. The most fundamental gene, IFNB1, which was only found in the classical ossification- and inflammation-related pathways, suggested that it may affect OLF via regulating the inflammatory response. In vitro experiment, we found that IFNB1 expression was dramatically higher in cells cocultured with osteogenic induction than in controls. Conclusion: As far as we are concerned, this is the first observation using transcriptome data mining to reveal distinct SOP-related gene profiles between OLF and normal controls. Five hub SODEGs were ultimately found using bioinformatics algorithms and experimental verification. These genes may mediate intricate inflammatory/immune responses or signaling pathways in the pathogenesis of OLF, according to the thorough functional annotations. Since IFNB1 was discovered to be a key gene and was connected to numerous immune infiltrates in OLF, it is possible that IFNB1 expression has a substantial impact on the pathogenesis of OLF. Our research will give rise to new possibilities for potential therapeutics that target SOP reverent genes and immune-associated pathways in OLF.

Indexed as

IFBN1Immune infiltrationInflammatory/immune responseOssification of ligamentum flavumSenile osteoporosis

Identifiers

PMID37303521
PMCPMC10248278
OpenAlexW4378715798

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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.