Evidence map›Paper›PMID 39257908›Full record

ArticleFrontiers in endocrinology2024

Inflammatory factors and risk of lung adenocarcinoma: a Mendelian randomization study mediated by blood metabolites.

Zheng Ding, Juan Chen, Bohan Li, Xinyu Ji

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Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Zheng Ding *Department of Cardiac Surgery, The First Affiliated Hospital of China Medical University, Liaoning, Shenyang, China.
Juan Chen *Department of Medical Oncology, The First Affiliated Hospital of China Medical University, Liaoning, Shenyang, China.
Bohan LiDepartment of Urinary Surgery, The First Affiliated Hospital of China Medical University, Liaoning, Shenyang, China.
Xinyu JiDepartment of Thoracic Surgery, The First Affiliated Hospital of China Medical University, Liaoning, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lung adenocarcinoma (LUAD) is the most common type of lung cancer, and its pathogenesis remains not fully elucidated. Inflammation and metabolic dysregulation are considered to play crucial roles in LUAD development, but their causal relationships and specific mechanisms remain unclear. Methods: This study employed a two-sample Mendelian randomization (MR) approach to systematically evaluate the causal associations between 91 circulating inflammatory factors, 1,400 serum metabolites, and LUAD. We utilized LUAD genome-wide association studies (GWAS) data from the FinnGen biobank and GWAS data of metabolites and inflammatory factors from the GWAS catalog to conduct two-sample MR analyses. For the identified key metabolites, we further used mediator MR to investigate their mediating effects in the influence of IL-17A on LUAD and explored potential mechanisms through protein-protein interaction and functional enrichment analyses. Results: The MR analyses revealed that IL-17A (OR 0.78, 95%CI 0.62-0.99) was negatively associated with LUAD, while 71 metabolites were significantly associated with LUAD. Among them, ferulic acid 4-sulfate may play a crucial mediating role in the suppression of LUAD by IL-17A (OR 0.87, 95%CI 0.78-0.97). IL-17A may exert its anti-LUAD effects through extensive interactions with genes related to ferulic acid 4-sulfate metabolism (such as SULT1A1, CYP1A1, etc.), inhibiting oxidative stress and inflammatory responses, as well as downstream tumor-related pathways of ferulic acid 4-sulfate (such as MAPK, NF-κB, etc.). Conclusion: This study discovered causal associations between IL-17A, multiple serum metabolites, and LUAD occurrence, revealing the key role of inflammatory and metabolic dysregulation in LUAD pathogenesis. Our findings provide new evidence-based medical support for specific inflammatory factors and metabolites as early predictive and risk assessment biomarkers for LUAD, offering important clues for subsequent mechanistic studies and precision medicine applications.

Indexed as

Adenocarcinoma of LungGenome-Wide Association StudyInflammationLung NeoplasmsMendelian Randomization AnalysisHumansInterleukin-17Polymorphism, Single NucleotideRisk FactorsIL17A protein, humanInterleukin-17blood metabolitescausal inferenceinflammatory factorslung adenocarcinomamediation analysismendelian randomization

Identifiers

PMID39257908
PMCPMC11384989

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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.