Evidence map›Paper›PMID 34993913›Full record

ArticleBiological trace element research2022

Association Between Essential and Non-essential Metals, Body Composition, and Metabolic Syndrome in Adults.

Yi Jing Ngu, Anatoly V Skalny, Alexey A Tinkov, Chien-Sung Tsai, Chun-Chao Chang, Yung-Kun Chuang, Vladimir N Nikolenko, Dmitry A Zotkin, Ching-Feng Chiu, Jung-Su Chang

Abstract read
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In one paragraph

Article in Biological trace element research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
3.4field-weighted citation impact, top 7% 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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 33 citations in OpenAlex.

  1. Pooled it
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  11. Copper biomarkers and their relationship with dyslipidemia in women with obesity.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2025
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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

10 authors at 4 institutions in 2 countries.

Yi Jing NguGraduate Institute of Metabolism and Obesity Sciences, College of Nutrition, Taipei Medical University, Taipei, Taiwan.
Anatoly V SkalnyIM Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.
Alexey A TinkovIM Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.
Chien-Sung TsaiDivision of Cardiovascular Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Chun-Chao ChangDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Taipei Medical University Hospital, Taipei, Taiwan.
Yung-Kun ChuangCollege of Nutrition, Master Program in Food Safety, Taipei Medical University, Taipei, Taiwan.
Vladimir N NikolenkoIM Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.
Dmitry A ZotkinIM Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.
Ching-Feng ChiuGraduate Institute of Metabolism and Obesity Sciences, College of Nutrition, Taipei Medical University, Taipei, Taiwan.
Jung-Su ChangGraduate Institute of Metabolism and Obesity Sciences, College of Nutrition, Taipei Medical University, Taipei, Taiwan. susanchang@tmu.edu.tw.ORCID http://orcid.org/0000-0001-8608-9349
Sechenov University · RUTaipei Medical University · TWTaipei Medical University Hospital · TWTri-Service General Hospital · TW

Funding

Ministry of Science and Technology, Taiwan MOST109-2923-B-038-001-MY3Ministry of Science and Technology, Taiwan MOST 110-2320-B-038-046Taipei Medical University Hospital 110TMU-TMUH-109
6 · The paper itself

Abstract

Growing evidence indicates that metal exposure is associated with metabolic syndrome (MetS); however, mixed results have been reported. The aim of this study was to clarify associations of exposure to essential and non-essential metals with body composition and risks of obesity and MetS. Anthropometry and blood biochemistry of metabolic parameters were obtained from 150 middle-aged Taiwanese adults. Plasma metals were assessed using inductively coupled plasma mass spectrometry, and body compositions were measured by a bioelectrical impedance analysis (BIA). The essential metals of copper (Cu), manganese (Mn), and chromium (Cr) were positively correlated with the body fat mass but inversely correlated with the skeletal muscle mass (all p < 0.05). An adjusted logistic regression showed that Mn [odds ratio (OR) = 1.624 (95% confidence interval 1.072, 2.462), p = 0.02] and, to a lesser extent, Cu [OR = 1.501 (0.985, 2.292), p = 0.059] predicted abdominal obesity, while plasma Cu [OR = 2.211 (1.146, 4.266), p = 0.02] and zinc (Zn) [OR = 2.228 (1.048, 4.736) p = 0.04] predicted MetS. Significant correlations between dyslipidemia and lithium [OR = 1.716 (1.080, 2.726)], Cu [OR = 2.210 (1.415, 3.454)], Mn [OR = 2.200 (1.320, 3.666)], molybdenum [OR = 1.853 (1.160, 2.958)], and Zn [OR = 1.993 (1.186, 3.349)], and between boron [OR = 2.583 (1.137, 5.868)] and hyperglycemia were observed (all p < 0.05). Exposure to essential metals may affect the body composition and metabolic profiles, exacerbating the risk of MetS.

Indexed as

Metabolic SyndromeMetals, HeavyAdultBody CompositionBoronChromiumCopperHumansLithiumManganeseMetalsMiddle AgedMolybdenumObesityZincBoronChromiumCopperLithiumManganeseMetalsMetals, HeavyMolybdenumZincAbdominal obesityBody compositionDiabetesDyslipidemiaEssential elementsMetabolic syndromeNon-essential metalsToxic heavy metals

Identifiers

PMID34993913
OpenAlexW4205729582

What OpenQuestion holds

Textmetadata
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.