Evidence map›Paper›PMID 35420349›Full record

ArticleArchives of toxicology2022

Research for type 2 diabetes mellitus in endemic arsenism areas in central China: role of low level of arsenic exposure and KEAP1 rs11545829 polymorphism.

Chenlu Fan, Zaihong Zhan, Xin Zhang, Qun Lou, Ning Guo, Mengyao Su, Yue Gao, Ming Qin, Liaowei Wu, Wei Huang and 7 more

Abstract read
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In one paragraph

Article in Archives of toxicology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 20 citations in OpenAlex.

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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

17 authors at 3 institutions in 1 country.

Chenlu FanCenter for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150081, Heilongjiang Province, China.
Zaihong ZhanCenter for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150081, Heilongjiang Province, China.
Xin ZhangCenter for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150081, Heilongjiang Province, China.
Qun LouCenter for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150081, Heilongjiang Province, China.
Ning GuoCenter for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150081, Heilongjiang Province, China.
Mengyao SuCenter for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150081, Heilongjiang Province, China.
Yue GaoCenter for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150081, Heilongjiang Province, China.
Ming QinCenter for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150081, Heilongjiang Province, China.
Liaowei WuCenter for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150081, Heilongjiang Province, China.
Wei HuangCenter for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150081, Heilongjiang Province, China.
Meichen ZhangCenter for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150081, Heilongjiang Province, China.
Fanshuo YinCenter for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150081, Heilongjiang Province, China.
Yanhui WuXiang'an Hospital of Xiamen University, Xiamen, 361101, Fujian Province, China.
Jingbo PiProgram of Environmental Toxicology, School of Public Health, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning Province, China.
Yuanyuan XuProgram of Environmental Toxicology, School of Public Health, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning Province, China.
Yanmei YangCenter for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150081, Heilongjiang Province, China. yangyanmei@hrbmu.edu.cn.
Yanhui GaoCenter for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150081, Heilongjiang Province, China. gaoyanhui@hrbmu.edu.cn.ORCID http://orcid.org/0000-0001-9244-7579
Harbin Medical University · CNChina Medical University · CNXiamen University · CN

Funding

Key Programme 81830099
6 · The paper itself

Abstract

Type 2 diabetes mellitus (T2DM) is one of the major public health problems worldwide; both genetic and environmental factors are its risk factors. Arsenic, an environmental pollutant, might be a risk factor for T2DM, but the association of low-to-moderate level arsenic exposure with the risk of T2DM is still inconsistent. Single nucleotide polymorphisms (SNPs) can affect the development of T2DM, but the study on KEAP1 rs11545829 (G>A) SNP is few. In this paper, we explored the effect of KEAP1 rs11545829 (G>A) SNP and low-to-moderate level arsenic exposure on risk of T2DM in a cross-sectional case-control study conducted in Shanxi, China. Total of 938 participants, including 318 T2DM cases and 618 controls, were enrolled. Blood glycosylated haemoglobin (HbA1c) was detected by Automatic Biochemical Analyzer, and participants with HbA1c≧6.5% were diagnosed as T2DM. Urinary total arsenic (tAs, mg/L), as the indicator of arsenic exposure, was detected by liquid chromatography-atomic fluorescence spectrometry (LC-AFS). Genomic DNA was extracted and the genotypes of KEAP1 rs11545829 SNP were examined by multiplex polymerase chain reaction (PCR). The urinary tAs concentration in recruited participants was 0.075 (0.03-0.15) mg/L, and was associated with an increased risk of T2DM (OR = 8.45, 95% CI 2.63-27.17); rs11545829 mutation homozygote AA genotype had a protective effect on risk of T2DM (OR = 0.42, 95 % CI 0.25-0.73). Although this protective effect of AA genotype was found in participants with higher urinary tAs level (>0.032 mg/L) (OR = 0.48, 95% CI 0.26-0.86), there was no interaction effect for arsenic exposure and rs11545829 SNP on risk of T2DM. In addition, BMI modified the association between rs11545829 SNP and the risk of T2DM (RERI = -1.11, 95% CI -2.18-0.04). The present study suggest that low-to-moderate level arsenic exposure may be a risk factor, while KEAP1 rs11545829 SNP mutation homozygote AA genotype may be a protective factor for risk of T2DM, especially for T2DM patients with urinary tAs level>0.032 mg/L.

Indexed as

ArsenicDiabetes Mellitus, Type 2Kelch-Like ECH-Associated Protein 1Case-Control StudiesChinaCross-Sectional StudiesGenetic Predisposition to DiseaseGenotypeHumansPolymorphism, Single NucleotideArsenicKEAP1 protein, humanKelch-Like ECH-Associated Protein 1ArsenicKEAP1Single nucleotide polymorphismsT2DM

Identifiers

PMID35420349
OpenAlexW4223937264

What OpenQuestion holds

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Registered trials

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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.