Evidence map›Paper›PMID 39206312›Full record

ArticleFrontiers in nutrition2024

Genetic information supports a causal relationship between trace elements, inflammatory proteins, and COPD: evidence from a Mendelian randomization analysis.

Zhenghua Cao, Shengkun Zhao, Tong Wu, Feng Sun, Huan Ding, Shaodan Hu, Li Shi

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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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

7 authors.

Zhenghua CaoGraduate School, Changchun University of Traditional Chinese Medicine, Changchun, Jilin, China.
Shengkun ZhaoGraduate School, Changchun University of Traditional Chinese Medicine, Changchun, Jilin, China.
Tong WuGeriatric Department, Suzhou Hospital of Integrated Traditional Chinese and Western Medicine, Suzhou, Jiangsu, China.
Feng SunRespiratory Disease Department, Affiliated Hospital of Changchun University of Traditional Chinese Medicine, Changchun, Jilin, China.
Huan DingRespiratory Disease Department, Affiliated Hospital of Changchun University of Traditional Chinese Medicine, Changchun, Jilin, China.
Shaodan HuRespiratory Disease Department, Affiliated Hospital of Changchun University of Traditional Chinese Medicine, Changchun, Jilin, China.
Li ShiRespiratory Disease Department, Affiliated Hospital of Changchun University of Traditional Chinese Medicine, Changchun, Jilin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Dietary factors and nutritional status may be among the risk factors for Chronic Obstructive Pulmonary Disease (COPD). There exists a certain correlation between trace elements and COPD. Through Mendelian Randomization (MR) analysis, we investigated the causal relationships between trace elements, inflammatory proteins, and COPD. Methods: We employed MR, multivariable MR (MVMR), and two-step MR (TSMR) approaches to assess the causal links between 15 trace elements and COPD, with 91 inflammatory proteins serving as mediators to further elucidate the tripartite causal relationships. Results: Trace elements such as Folate (OR = 1.293, 95%CI 1.027-1.628; Conclusion: Trace elements such as Folate, Vitamin D, Vitamin B12, and Iron have causal relationships with COPD. After BMI adjustment, Folate, Vitamin D, and Iron emerge as independent risk factors. Furthermore, the inflammatory protein CDCP1 may partially mediate the causal relationship between Iron and COPD, offering a scientific basis for dietary recommendations that could benefit COPD patients. The supplementation of trace elements may be advantageous for individuals suffering from COPD.

Indexed as

COPDinflammatory proteinsmediation analysisMendelian randomizationtrace elements

Identifiers

PMID39206312
PMCPMC11349556

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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.