Evidence map›Paper›PMID 38787375›Full record

ArticleAging2024

Potential marker genes for chronic obstructive pulmonary disease revealed based on single-cell sequencing and Mendelian randomization analysis.

Gang Sun, Yun Zhou, Xiaoxiao Han, Xiangqian Che, Shuo Yu, Di Song, Feifei Ma, Lewei Huang

Abstract read
In one paragraph

Article in Aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
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.

Gang SunGeneral Hospital of Northern Theater Command, Shenyang 110000, Liaoning, China.
Yun ZhouEast China Normal University Wuhu Affiliated Hospital (The Second People’s Hospital of Wuhu City), Wuhu 241000, Anhui, China.
Xiaoxiao HanThe Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei 230022, Anhui China.
Xiangqian CheGeneral Hospital of Northern Theater Command, Shenyang 110000, Liaoning, China.
Shuo YuThe Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei 230022, Anhui China.
Di SongGeneral Hospital of Northern Theater Command, Shenyang 110000, Liaoning, China.
Feifei MaGeneral Hospital of Northern Theater Command, Shenyang 110000, Liaoning, China.
Lewei HuangGeneral Hospital of Northern Theater Command, Shenyang 110000, Liaoning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProgress is being made in the prevention and treatment of chronic obstructive pulmonary disease (COPD), but it is still unsatisfactory. With the development of genetic technology, validated genetic information can better explain COPD.

objectiveThe study utilized scRNA-seq and Mendelian randomization analysis of eQTLs to identify crucial genes and potential mechanistic pathways underlying COPD pathogenesis. MEHODS: Single-cell sequencing data were used to identify marker genes for immune cells in the COPD process. Data on eQTLs for immune cell marker genes were obtained from the eQTLGen consortium. To estimate the causal effect of marker genes on COPD, we selected an independent cohort (ukb-b-16751) derived from the UK Biobank database for two-sample Mendelian randomization analysis. Subsequently, we performed immune infiltration analysis, gene set enrichment analysis (GSEA), and co-expression network analysis on the key genes.

resultsThe 154 immune cell-associated marker genes identified were mainly involved in pathways such as vacuolar cleavage, positive regulation of immune response and regulation of cell activation. Mendelian randomization analysis screened four pairs of marker genes (GZMH, COTL1, CSTA and CD14) were causally associated with COPD. These four key genes were significantly associated with immune cells. In addition, we have identified potential transcription factors associated with these key genes using the Cistrome database, thus contributing to a deeper understanding of the regulatory network of these gene expressions.

conclusionsThis eQTLs Mendelian randomization study identified four key genes (GZMH, COTL1, CSTA, and CD14) causally associated with COPD, providing new insights for prevention and treatment of COPD.

Indexed as

Mendelian Randomization AnalysisPulmonary Disease, Chronic ObstructiveSingle-Cell AnalysisFemaleGenetic MarkersGenetic Predisposition to DiseaseHumansLipopolysaccharide ReceptorsMaleMiddle AgedQuantitative Trait LociGenetic MarkersLipopolysaccharide Receptorschronic obstructive pulmonary diseasegeneticsmendelian randomization analysisquantitative trait locisingle-cell RNA sequencing

Identifiers

PMID38787375
PMCPMC11164476

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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.