Evidence map›Paper›PMID 39135557›Full record

ReviewFrontiers in nutrition2024

Toxic and essential metals: metabolic interactions with the gut microbiota and health implications.

Qinheng Zhu, Boyan Chen, Fu Zhang, Baodan Zhang, Yujie Guo, Mengtao Pang, Liang Huang, Tianjiao Wang

Abstract readReview
In one paragraph

Review in Frontiers in nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 pooled it
–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

44 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Neurodevelopmental Outcomes Associated with Early-Life Exposure to Heavy Metals: A Systematic Review.International journal of environmental research and public health · 2025
    Pooled it
  3. Review
  4. Article
  5. Review
  6. A review of the iron requirements and its determination in commercial poultry.Animal nutrition (Zhongguo xu mu shou yi xue hui) · 2026
    Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Co-exposure to arsenic and nickel induces oxidative stress and mineral imbalance, impairing male reproductive parameters in Wistar rats.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2026
    Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

8 authors.

Qinheng ZhuDepartment of Personnel Management, Zhejiang Center for Disease Control and Prevention, Hangzhou, China.
Boyan ChenDepartment of Personnel Management, Zhejiang Center for Disease Control and Prevention, Hangzhou, China.
Fu ZhangDepartment of Personnel Management, Zhejiang Center for Disease Control and Prevention, Hangzhou, China.
Baodan ZhangDepartment of Personnel Management, Zhejiang Center for Disease Control and Prevention, Hangzhou, China.
Yujie GuoDepartment of Personnel Management, Zhejiang Center for Disease Control and Prevention, Hangzhou, China.
Mengtao PangDepartment of Personnel Management, Zhejiang Center for Disease Control and Prevention, Hangzhou, China.
Liang HuangDepartment of Personnel Management, Zhejiang Center for Disease Control and Prevention, Hangzhou, China.
Tianjiao WangDepartment of Personnel Management, Zhejiang Center for Disease Control and Prevention, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human exposure to heavy metals, which encompasses both essential and toxic varieties, is widespread. The intestine functions as a critical organ for absorption and metabolism of heavy metals. Gut microbiota plays a crucial role in heavy metal absorption, metabolism, and related processes. Toxic heavy metals (THMs), such as arsenic (As), mercury (Hg), lead (Pb), and cadmium (Cd), can cause damage to multiple organs even at low levels of exposure, and it is crucial to emphasize their potential high toxicity. Nevertheless, certain essential trace elements, including iron (Fe), copper (Cu), and manganese (Mn), play vital roles in the biochemical and physiological functions of organisms at low concentrations but can exert toxic effects on the gut microbiota at higher levels. Some potentially essential micronutrients, such as chromium (Cr), silicon (Si), and nickel (Ni), which were considered to be intermediate in terms of their essentiality and toxicity, had different effects on the gut microbiota and their metabolites. Bidirectional relationships between heavy metals and gut microbiota have been found. Heavy metal exposure disrupts gut microbiota and influences its metabolism and physiological functions, potentially contributing to metabolic and other disorders. Furthermore, gut microbiota influences the absorption and metabolism of heavy metals by serving as a physical barrier against heavy metal absorption and modulating the pH, oxidative balance, and concentrations of detoxification enzymes or proteins involved in heavy metal metabolism. The interactions between heavy metals and gut microbiota might be positive or negative according to different valence states, concentrations, and forms of the same heavy metal. This paper reviews the metabolic interactions of 10 common heavy metals with the gut microbiota and their health implications. This collated information could provide novel insights into the disruption of the intestinal microbiota caused by heavy metals as a potential contributing factor to human diseases.

Indexed as

essential trace elementsgut microbiotahealth implicationsmetabolitestoxic heavy metals

Identifiers

PMID39135557
PMCPMC11317476

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.