Evidence map›Paper›PMID 42437399›Full record

ArticleBiometals : an international journal on the role of metal ions in biology, biochemistry, and medicine2026

Association between metal co-exposure and frailty: exploring the potential explanatory pathway of inflammation.

Dongmei Yu, Yue Wei, Yan-Feng Zhou, Junxiu He, Yu Bao, Lun Liang, Dongyi Feng, Yujin Li, Hong Cheng, Haiqing Cai and 2 more

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Article in Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Dongmei Yu *School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China.
Yue Wei *School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China.
Yan-Feng Zhou *School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China.
Junxiu HeSchool of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China.
Yu BaoSchool of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China.
Lun LiangSchool of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China.
Dongyi FengSchool of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China.
Yujin LiSchool of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China.
Hong ChengSchool of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China.
Haiqing CaiSchool of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China.
Xing ChenSchool of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China.
Xiaobo YangSchool of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China. yangx@gxmu.edu.cn.ORCID https://orcid.org/0000-0001-9866-7724

Funding

the Guangxi Natural Science Foundation 2024GXNSFBA010214the National Key Research and Development Program of China 2023YFC3606300the National Natural Science Foundation of China 82304091the National Natural Science Foundation of China 82404393
6 · The paper itself

Abstract

Frailty is a critical geriatric syndrome associated with disability and mortality, yet the associations and mechanisms between environmental metal co-exposure with frailty remain unclear. This cross-sectional study included 4484 adults aged ≥ 60 years from China. Metal concentrations were measured by inductively coupled plasma mass spectrometry (ICP-MS), and frailty was assessed using a frailty index (FI). Single-metal analyses used generalized linear models (GLMs). For multi-metal analyses, we applied machine-learning-based variable selection, followed by Bayesian kernel machine regression (BKMR) and quantile g-computation (qg-comp) model. Potential explanatory pathways involving inflammatory markers, as well as interactions with age, sex, and lifestyle, were also explored. Positive associations were observed for magnesium (Mg), molybdenum (Mo), and vanadium (V) with FI, whereas rubidium (Rb) showed an inverse association (P < 0.001). Significant effect modification by age, sex, and lifestyle was identified. Positive metal‑FI associations were stronger in older females, while the inverse Rb‑FI correlation was more evident in participants with unhealthy lifestyles (P for interaction < 0.05). Multi-metal models showed overall positive co-exposure effects on frailty, with Mo (positive) and Rb (negative) contributing the largest weights. In exploratory mediation analyses, the neutrophil-to-high-density lipoprotein ratio (NHR) accounted for 2.09% of the Rb-FI association and 1.81% of the Mo-FI association. The platelet-to-albumin ratio (PAR) accounted for 1.52% of the Mo-FI association and 5.30% of the Mg-FI association (P < 0.05). These findings suggest that metal co-exposure is positively associated with frailty, with inflammation as a potential explanatory pathway. Metal‑frailty associations vary by age, sex and lifestyle, with distinct patterns for different metals. Although longitudinal studies are needed to establish temporality and causal pathways, these findings identify high-risk subgroups for future investigation.

Indexed as

FrailtyInflammationMetalsAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHumansMagnesiumMaleMiddle AgedMolybdenumVanadiumMagnesiumMetalsMolybdenumVanadiumFrailtyInflammationMediating roleMetal co-exposure

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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 Socratic graph.