Evidence map›Paper›PMID 40801051›Full record

ArticleFood science & nutrition2025

Human Trace Elements, Gut Microbiota, and Alzheimer's Disease: Insights From Multistage Mendelian Randomization Analysis.

Yujian Li, Hao Lin, Kexin Liu, Xuan Kan

Abstract read
In one paragraph

Article in Food science & nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
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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

4 authors.

Yujian LiSchool of Public Health Tianjin Medical University Tianjin China.
Hao LinGeneral Hospital of Tianjin Medical University Tianjin China.ORCID https://orcid.org/0009-0000-5759-2447
Kexin LiuMedical School of Tianjin University Tianjin China.
Xuan KanGeneral Hospital of Tianjin Medical University Tianjin China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is a prevalent neurodegenerative disorder characterized by progressive cognitive decline that ultimately impairs independent living. Previous studies have identified associations between certain trace elements or gut microbiota and AD, but few have explored the interplay among all three. This study aimed to elucidate the relationship between 17 human trace elements and AD using Mendelian randomization (MR) and multivariate MR (MVMR) analysis. In addition, the potential mediating role of 412 gut microbiota in the relationship between trace elements and AD was investigated using mediation MR analysis. MR analysis revealed the genetic causal associations of copper (Odds Ratio [OR] = 1.291, 95% Confidence Interval [CI]: 1.075-1.551) and carotene (OR = 2.805, 95% CI: 1.054-7.466) with AD. MVMR analysis further supported that copper (OR = 1.262, 95% CI: 1.084-1.468) and carotene (OR = 4.550, 95% CI: 1.245-16.631) were independent risk factors for AD. Mediation MR analysis indicated that increased copper levels enhance lipid biosynthesis pathways (OR = 1.125, 95% CI: 1.046-1.210), contributing to a higher AD risk (OR = 1.822, 95% CI: 1.036-3.206), with a mediation effect of 27.636%. Elevated carotene levels were associated with reduced pentose phosphate pathway activity and decreased abundance of f_Prevotellaceae.g_Paraprevotella, both of which were linked to increased AD risk, with mediation effects of 25.527% and 32.140%, respectively. This study highlights copper and carotene as potential targets for novel AD interventions and underscores the complex interplay between trace elements, gut microbiota, and neurodegenerative diseases.

Indexed as

Alzheimer's diseasegut microbiotamediation effectMendelian randomizationtrace elements

Identifiers

PMID40801051
PMCPMC12340980

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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.