Evidence map›Paper›PMID 36904137›Full record

ArticleNutrients2023

The Associations between Multiple Essential Metal(loid)s and Gut Microbiota in Chinese Community-Dwelling Older Adults.

Jianghui Zhang, Yuan Wang, Guimei Chen, Hongli Wang, Liang Sun, Dongmei Zhang, Fangbiao Tao, Zhihua Zhang, Linsheng Yang

Full text read
In one paragraph

Article in Nutrients, 2023. 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

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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. The Microbiota in Cancer: A Secondary Player or a Protagonist?Current issues in molecular biology · 2024
    Review
  4. 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

9 authors.

Jianghui ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei 230032, China.
Yuan WangDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei 230032, China.
Guimei ChenAnhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei 230032, China.
Hongli WangDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei 230032, China.
Liang SunFuyang Center for Disease Control and Prevention, Fuyang 236069, China.
Dongmei ZhangAnhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei 230032, China.
Fangbiao TaoAnhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei 230032, China.
Zhihua ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei 230032, China.
Linsheng YangDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei 230032, China.

Funding

Key Scientific Research Fund of Anhui Provincial Education Department KJ2017A189Major Projects on College Leading Talent Team Introduced of Anhui 0303011224National Natural Science Foundation of China 81973064
6 · The paper itself

Abstract

Several experimental studies have suggested that individual essential metal(loid)s (EMs) could regulate the gut microbiota. However, human studies assessing the associations between EMs and gut microbiota are limited. This study aimed to examine the associations of individual and multiple EMs with the compositions of the gut microbiota in older adults. A total of 270 Chinese community-dwelling people over 60 years old were included in this study. Urinary concentrations of selected EMs, including vanadium (V), cobalt (Co), selenium (Se), strontium (Sr), magnesium (Mg), calcium (Ca), and molybdenum (Mo), were examined by inductively coupled plasma mass spectrometry. The gut microbiome was assessed using the 16S rRNA gene sequencing analysis. The zero-inflated probabilistic principal components analysis PCA (ZIPPCA) model was performed to denoise substantial noise in microbiome data. Linear regression and the Bayesian Kernel Machine Regression (BKMR) models were utilized to determine the associations between urine EMs and gut microbiota. No significant association between urine EMs and gut microbiota was found in the total sample, whereas some significant associations were found in subgroup analyses: Co was negatively associated with the microbial Shannon (

Indexed as

Gastrointestinal MicrobiomeAgedBayes TheoremCobaltEast Asian PeopleFemaleHumansMiddle AgedMolybdenumRNA, Ribosomal, 16SStrontiumCobaltMolybdenumRNA, Ribosomal, 16SStrontium16S rRNA geneBKMRepidemiologyessential metal(loid)sgut microbiota

Identifiers

PMID36904137
PMCPMC10005492

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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.