Evidence map›Paper›PMID 40809208›Full record

ArticleJournal of thoracic disease2025

Risk of remnant cholesterol and chronic obstructive pulmonary disease: a mendelian randomization study.

Wei-Yi Feng, Jun-Huang Zheng, Jia-Qi Xiao, Zi-Xun Wang, Ya-Fang Zheng, Xiao-Nao Jin, Jia-Yi Xie, Wan-Zhe Liao, Xu-Guang Guo, Wei-Jie Guan

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Wei-Yi FengDepartment of Allergy and Clinical Immunology, Department of Respiratory and Critical Care Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Jun-Huang ZhengDepartment of Allergy and Clinical Immunology, Department of Respiratory and Critical Care Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Jia-Qi XiaoDepartment of Allergy and Clinical Immunology, Department of Respiratory and Critical Care Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Zi-Xun WangDepartment of Allergy and Clinical Immunology, Department of Respiratory and Critical Care Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Ya-Fang ZhengDepartment of Allergy and Clinical Immunology, Department of Respiratory and Critical Care Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Xiao-Nao JinDepartment of Allergy and Clinical Immunology, Department of Respiratory and Critical Care Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Jia-Yi XieDepartment of Allergy and Clinical Immunology, Department of Respiratory and Critical Care Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Wan-Zhe LiaoDepartment of Allergy and Clinical Immunology, Department of Respiratory and Critical Care Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Xu-Guang GuoInstitute of Gerontology, Guangzhou Geriatric Hospital, Guangzhou Medical University, Guangzhou, China.
Wei-Jie GuanDepartment of Allergy and Clinical Immunology, Department of Respiratory and Critical Care Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Remnant cholesterol (RC) represents the cholesterol of triglyceride (TG)-rich lipoproteins and is the portion of cholesterol other than both high-density (HDL-C) and low-density lipoprotein cholesterol (LDL-C). Higher RC levels have been associated with heightened inflammation. Chronic obstructive pulmonary disease (COPD) has been attributed mostly to cigarette smoking or environmental pollution. Disorders of lipid metabolism contribute to inflammation, but no studies have shown an association between RC and COPD. We aimed to investigate the association between RC levels and the pathogenesis of COPD. Methods: Pooled statistics for the associations between RC and COPD were obtained from published data of individuals of European ancestry, primarily sourced from the Integrative Epidemiology Unit (IEU) Open Genome-Wide Association Studies (OpenGWAS) project (including 115,078 European populations) and the FinnGen Biobank (including 16,410 COPD cases and 283,589 controls). To evaluate the causal relationship between RC and COPD, a two-sample Mendelian randomization (MR) analysis was employed. The primary MR method was inverse variance weighting (IVW). Statistical analysis and data visualization were performed using R software. Results: RC levels were positively associated with COPD risk according to MR analysis [IVW, odds ratio (OR): 1.222, 95% confidence interval (CI): 1.092-1.368; P<0.001; MR-Egger, OR: 1.279, 95% CI: 1.065-1.536; P=0.01; weighted median, OR: 1.208, 95% CI: 1.048-1.393; P=0.008]. No significant heterogeneity or horizontal pleiotropy was detected. Conclusions: High RC levels might increase the risk of developing COPD. Whether reducing RC levels among the population contributes to a lower risk of COPD remains to be investigated.

Indexed as

chronic obstructive pulmonary disease (COPD)Mendelian randomization (MR)Remnant cholesterol (RC)triglycerides (TGs)

Identifiers

PMID40809208
PMCPMC12340308

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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.