Evidence map›Paper›PMID 34564376›Full record

ArticleToxics2021

The Relationship between Metabolic Syndrome and Plasma Metals Modified by EGFR and TNF-α Gene Polymorphisms.

Tzu-Hua Chen, Wei-Shyang Kung, Hung-Yu Sun, Joh-Jong Huang, Jia-Yi Lu, Kuei-Hau Luo, Hung-Yi Chuang

Open access · goldAbstract read
In one paragraph

Article in Toxics, 2021. 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
0.2field-weighted citation impact, top 47% of its field
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, 3 citations in OpenAlex.

  1. Article
  2. Article
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 at 2 institutions in 1 country.

Tzu-Hua ChenDepartment of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung 80708, Taiwan.
Wei-Shyang KungDepartment of Pediatrics, Chien Shin Hospital, Kaohsiung 80143, Taiwan.
Hung-Yu SunDepartment of Family Medicine, Changhua Christian Hospital, Changhua 50006, Taiwan.
Joh-Jong HuangDepartment of Family Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan.
Jia-Yi LuDepartment of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung 80708, Taiwan.
Kuei-Hau LuoGraduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan.
Hung-Yi ChuangDepartment of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung 80708, Taiwan.ORCID 0000-0002-8321-8720
Kaohsiung Medical University · TWChanghua Christian Hospital · TW

Funding

Kaohsiung Medical University KMU-TC109A01-1Kaohsiung Medical University Chung-Ho Memorial Hospital KMUH109-9T05Kaohsiung Municipal Ta-Tung Hospital kmtth-109-003Ministry of Science and Technology, Taiwan MOST 109-2911-I-037-501
6 · The paper itself

Abstract

With the escalating global prevalence of metabolic syndrome (MetS), it is crucial to detect the high-risk population early and to prevent chronic diseases. Exposure to various metals has been indicated to promote MetS, but the findings were controversial, and the effect of genetic modification was not considered. Epidermal growth factor receptor (EGFR) was proposed to be involved in the pathway of metabolic disorders, and tumor necrotic factor-α (TNF-α) was regarded as an early inflammatory biomarker for MetS. This research aimed to analyze the impact of EGFR and TNF-α gene polymorphisms on the prevalence of MetS under environmental or occupational exposure to metals. We gathered data from 376 metal industrial workers and 639 non-metal workers, including physical parameters, biochemical data, and plasma concentrations of six metals. According to the genomic database of Taiwan Biobank, 23 single nucleotide polymorphisms (SNPs) on EGFR gene and 6 SNPs on TNF-α gene were incorporated in our research. We applied multivariable logistic regression to analyze the probability of MetS with various SNPs and metals. Our study revealed some susceptible and protective EGFR and TNF-α genotypes under excessive exposure to cobalt, zinc, selenium, and lead. Thus, we remind the high-risk population of taking measures to prevent MetS.

Indexed as

epidermal growth factor receptor (EGFR)inflammationinsulin resistancemetabolic disordersmetabolic syndromemetalssingle nucleotide polymorphism (SNP)Taiwan biobankTNF-α

Identifiers

PMID34564376
PMCPMC8473312
OpenAlexW3201436238

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.