Evidence map›Paper›PMID 41788971›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2026

The Role of Programmed Cell Death-Related Genes in Asthma, Chronic Obstructive Pulmonary Disease, and Lung Function: A Multi-Omics Mendelian Randomization Study.

Tanao Ji, Yue Lv, Jun Gu

Abstract read
In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 2026. 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

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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

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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

3 authors.

Tanao JiDepartment of General Practice, Affiliated Hospital of Nantong University, Nantong, Jiangsu, People's Republic of China.ORCID 0000-0002-7537-9364
Yue LvDepartment of Hematology, Affiliated Hospital of Nantong University, Nantong, Jiangsu, People's Republic of China.ORCID 0009-0002-9239-8556
Jun GuDepartment of Pulmonary and Critical Care Medicine, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong Key Laboratory of Respiratory, Nantong, Jiangsu, People's Republic of China.ORCID 0009-0005-2269-9179

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Programmed cell death (PCD) has been linked to asthma, chronic obstructive pulmonary disease (COPD) and lung function, but the underlying genetic determinants remain unclear. Patients and Methods: A comprehensive multi-omics analysis was conducted by integrating genome-wide association studies (GWAS) with methylation quantitative trait loci (mQTL), expression quantitative trait loci (eQTL), and protein quantitative trait loci (pQTL) data. To determine the causality between exposures and respiratory traits, Summary Data-Based Mendelian Randomization (SMR) and colocalization analyses were applied. External validation was performed using replication cohorts, along with transcriptome-wide association studies (TWAS), gene-based analysis, and tissue-specific analysis. Additionally, enrichment analysis was carried out to identify biological pathways linked to respiratory traits. To explore potential therapeutic targets, drug prediction and molecular docking analyses were employed to assess the pharmacological feasibility of candidate compounds. Results: Through the integration of multi-omics analysis, we identified six PCD-related genes associated with respiratory traits. ERBB3, SFRP1, and FGFR1 demonstrated tier 1 evidence, linking them to COPD in never-smokers, forced expiratory volume in 1 second (FEV1), and FEV1/forced vital capacity (FVC), respectively. Additionally, HSPA1B and MAPK3 were classified as tier 2 genes, associated with non-allergic asthma risk and overall COPD risk, respectively. IDUA, categorized as a tier 3 gene, was related to overall asthma. These genes play critical roles in apoptotic signaling, mesenchymal development, and molecular binding processes, emphasizing their biological significance. Additionally, molecular docking demonstrated stable binding for candidate drugs and proteins encoded by identified genes. Conclusion: Our study offers critical insights into the genetic basis of asthma, COPD, and lung function by identifying six genes as potential biomarkers and therapeutic targets, contributing to the development of more effective interventions for these respiratory traits.

Indexed as

ApoptosisAsthmaLungPulmonary Disease, Chronic ObstructiveDNA MethylationForced Expiratory VolumeGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMendelian Randomization AnalysisMultiomicsPhenotypePolymorphism, Single NucleotideQuantitative Trait LociRisk FactorsTranscriptomegeneticsmulti-omicsquantitative trait locirespiratory diseases

Identifiers

PMID41788971
PMCPMC12958982

What Socratic holds

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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 Socratic graph.