Evidence map›Paper›PMID 41519815›Full record

ArticleJournal of neuroinflammation2026

Genetically predicted susceptibility to dust-induced lung diseases and risk of autoimmune diseases: a two sample Mendelian randomization study.

Youjin Kim, Maiko Hajime Sumikawa, Wanhyung Lee, Seunghyun Lee

Abstract read
In one paragraph

Article in Journal of neuroinflammation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Youjin KimAsan medical center, Seoul, Republic of Korea.
Maiko Hajime SumikawaThe First Department of Internal Medicine, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan.
Wanhyung Lee *Department of Preventive Medicine, College of Medicine, Chung-Ang University, Seoul, Republic of Korea. wanhyung@gmail.com.
Seunghyun Lee *Department of Convergence Medicine, School of Medicine, Pusan National University, 49, Busandaehak-ro, Mulgeum-eup, Yangsan, Gyeongsangnam-do, Republic of Korea. seunghyunlee0810@gmail.com.

Funding

National Research Foundation of Korea No. RS-2025-00520480
6 · The paper itself

Abstract

backgroundObservational studies have linked occupational and environmental dust exposure to increased risk of autoimmune diseases (AIDs). However, it remains unclear whether genetic susceptibility to dust-induced lung pathology has a causal effect on AID risk. This study aimed to determine whether genetic susceptibility to dust-induced lung diseases causally influences AIDs risk using Mendelian randomization (MR).

methodsWe conducted a two-sample MR analysis using genetic variants associated with lung diseases due to external agents (ICD-10 J60-J70; FinnGen, n = 500,348), and AIDs (UK Biobank, n = 53,831). Analyses included inverse variance weighting (IVW), MR-Egger, and weighted median methods, complemented by sensitivity analyses for heterogeneity and pleiotropy. Bonferroni and false discovery rate (FDR) corrections were applied to account for multiple testing.

resultsGenetically predicted susceptibility to dust-induced lung diseases showed largely null effects for most AIDs. A suggestive association was observed for ankylosing spondylitis (AS) in the primary analysis (IVW OR 1.39, 95% CI 1.05–1.84), but became non-significant after Bonferroni and FDR corrections. Sensitivity analyses did not reveal strong evidence of horizontal pleiotropy. Thus, while a potential signal exists for AS, no robust causal effects were identified for other AIDs.

conclusionsIn our study, susceptibility to dust-induced lung diseases was not robustly associated with most AIDs, but showed a suggestive disease-specific signal for AS, plausibly mediated by lung inflammation and remodeling. Other AIDs may rely on alternative systemic pathways independent of overt lung damage. Our findings highlight the mechanistic heterogeneity in dust-related autoimmunity and should be interpreted as hypothesis-generating, warranting validation in independent, larger cohorts.

Indexed as

Autoimmune DiseasesDustGenetic Predisposition to DiseaseLung DiseasesMendelian Randomization AnalysisHumansDustAutoimmune diseasesDust exposureDust-related lung diseasesExternal airborne agentInflammationLung diseases due to external agentsMendelian randomization

Identifiers

PMID41519815
PMCPMC12908371

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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.