Evidence map›Paper›PMID 32286339›Full record

ArticleScientific reports2020

Serum biomarkers from cell-based assays for AhRL and MIS strongly predicted the future development of diabetes in a large community-based prospective study in Korea.

Hong Kyu Lee, Wook Ha Park, Young Cheol Kang, Sora Kang, Suyeol Im, Sol Park, Jin Taek Kim, Minhyeok Lee, Junhee Seok, Man-Suk Oh and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

13 citing papers in PubMed, 14 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

12 authors at 5 institutions in 1 country.

Hong Kyu LeeDepartment of Internal Medicine, Eulji University College of Medicine, Seoul, Korea.
Wook Ha ParkDepartment of Physiology, College of Medicine, Kyung Hee University, Seoul, Korea.
Young Cheol KangDepartment of Neuroscience, Medical Research Center for Bioreaction to Reactive Oxygen Species and Biomedical Science Institute, School of Medicine, Graduate School, Kyung Hee University, Seoul, Korea.
Sora KangDepartment of Neuroscience, Medical Research Center for Bioreaction to Reactive Oxygen Species and Biomedical Science Institute, School of Medicine, Graduate School, Kyung Hee University, Seoul, Korea.
Suyeol ImDepartment of Neuroscience, Medical Research Center for Bioreaction to Reactive Oxygen Species and Biomedical Science Institute, School of Medicine, Graduate School, Kyung Hee University, Seoul, Korea.
Sol ParkDepartment of Statistics, College of Natural Science, Ewha Womans University, Seoul, Korea.
Jin Taek KimDepartment of Internal Medicine, Eulji University College of Medicine, Seoul, Korea.
Minhyeok LeeSchool of Electrical Engineering, Korea University, Seoul, Korea.
Junhee SeokSchool of Electrical Engineering, Korea University, Seoul, Korea.
Man-Suk OhDepartment of Statistics, College of Natural Science, Ewha Womans University, Seoul, Korea.
Hoon Sung ChoiDepartment of Internal Medicine, Kangwon National University School of Medicine, Chuncheon-si, Korea.
Youngmi Kim PakDepartment of Physiology, College of Medicine, Kyung Hee University, Seoul, Korea. ykpak@khu.ac.kr.
Kyung Hee University · KREulji University · KREwha Womans University · KRKorea University · KRKangwon National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exposure to environment-polluting chemicals (EPC) is associated with the development of diabetes. Many EPCs exert toxic effects via aryl hydrocarbon receptor (AhR) and/or mitochondrial inhibition. Here we investigated if the levels of human exposure to a mixture of EPC and/or mitochondrial inhibitors could predict the development of diabetes in a prospective study, the Korean Genome and Epidemiological Study (KoGES). We analysed AhR ligands (AhRL) and mitochondria-inhibiting substances (MIS) in serum samples (n = 1,537), collected during the 2008 Ansung KoGES survey with a 4-year-follow-up. Serum AhRL, determined by the AhR-dependent luciferase reporter assay, represents the contamination level of AhR ligand mixture in serum. Serum levels of MIS, analysed indirectly by MIS-ATP or MIS-ROS, are the serum MIS-induced mitochondria inhibiting effects on ATP content or reactive oxygen species (ROS) production in the cultured cells. Among 919 normal subjects at baseline, 7.1% developed impaired glucose tolerance (IGT) and 1.6% diabetes after 4 years. At the baseline, diabetic and IGT sera displayed higher AhRL and MIS than normal sera, which correlated with indices of insulin resistance. When the subjects were classified according to ROC cut-off values, fully adjusted relative risks of diabetes development within 4 years were 7.60 (95% CI, 4.23-13.64), 4.27 (95% CI, 2.38-7.64), and 21.11 (95% CI, 8.46-52.67) for AhRL ≥ 2.70 pM, MIS-ATP ≤ 88.1%, and both, respectively. Gender analysis revealed that male subjects with AhRL ≥ 2.70 pM or MIS-ATP ≤ 88.1% showed higher risk than female subjects. High serum levels of AhRL and/or MIS strongly predict the future development of diabetes, suggesting that the accumulation of AhR ligands and/or mitochondrial inhibitors in body may play an important role in the pathogenesis of diabetes.

Indexed as

AgedAir PollutantsBasic Helix-Loop-Helix ProteinsBiomarkersDiabetes MellitusEnvironmental BiomarkersFemaleGlucose IntoleranceGlucose Tolerance TestHumansInsulin ResistanceLigandsMaleMiddle AgedMitochondriaReactive Oxygen SpeciesAHR protein, humanAir PollutantsBasic Helix-Loop-Helix ProteinsBiomarkersEnvironmental BiomarkersLigandsReactive Oxygen SpeciesReceptors, Aryl Hydrocarbon

Identifiers

PMID32286339
PMCPMC7156500
OpenAlexW3015943484

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.