ArticleAnnals of work exposures and health2017
The Use of Metabolomics to Identify Biological Signatures of Manganese Exposure.
Article in Annals of work exposures and health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- Metabolomics for exposure assessment and toxicity effects of occupational pollutants: current status and future perspectives.Metabolomics : Official journal of the Metabolomic Society · 2022Pooled it
- Manganese Neurotoxicity: A Comprehensive Review of Pathophysiology and Inherited and Acquired Disorders.Journal of xenobiotics · 2025Review
- Metabolomics and proteomics in occupational medicine: a comprehensive systematic review.Journal of occupational medicine and toxicology (London, England) · 2024Review
- A State-of-the-Science Review on High-Resolution Metabolomics Application in Air Pollution Health Research: Current Progress, Analytical Challenges, and Recommendations for Future Direction.Environmental health perspectives · 2023Review
- Developmental programming: Preconceptional and gestational exposure of sheep to a real-life environmental chemical mixture alters maternal metabolome in a fetal sex-specific manner.The Science of the total environment · 2023Article
- Metabolomics as a valid analytical technique in environmental exposure research: application and progress.Metabolomics : Official journal of the Metabolomic Society · 2022Review
- Integration of proteomic and metabolomic analyses: New insights for mapping informal workers exposed to potentially toxic elements.Frontiers in public health · 2022Article
- Review
- Short Report: Using Targeted Urine Metabolomics to Distinguish Between Manganese Exposed and Unexposed Workers in a Small Occupational Cohort.Frontiers in public health · 2021Article
- Application of metabolomics to characterize environmental pollutant toxicity and disease risks.Reviews on environmental health · 2019Review
- Metabolomic Responses to Manganese Dose in SH-SY5Y Human Neuroblastoma Cells.Toxicological sciences : an official journal of the Society of Toxicology · 2019Article
- The reproducibility of urinary ions in manganese exposed workers.Journal of trace elements in medicine and biology : organ of the Society for Minerals and Trace Elements (GMS) · 2019Article
- The metabolome: A key measure for exposome research in epidemiology.Current epidemiology reports · 2019Article
- Determinants of the urinary and serum metabolome in children from six European populations.BMC medicine · 2018Article
- Manganese tolerance in Verbascum olympicum Boiss. affecting elemental uptake and distribution: changes in nicotinic acid levels under stress conditions.Environmental science and pollution research international · 2018Article
- Beyond genomics: understanding exposotypes through metabolomics.Human genomics · 2018Review
- Diagnosis of manganism and manganese neurotoxicity: A workshop report.Medicine internationalArticle
Corrections and comments
- Commented on by
- Erratum issued
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Objectives: Manganese (Mn) is a known neurotoxicant, and given its health effects and ubiquitous nature in metal-working settings, identification of a valid and reproducible biomarker of Mn exposure is of interest. Here, global metabolomics is utilized to determine metabolites that differ between groups defined by Mn exposure status, with the goal being to help inform a potential metabolite biomarker of Mn exposure. Methods: Mn exposed subjects were recruited from a Mn steel foundry and Mn unexposed subjects were recruited from crane operators at a metal recycling facility. Over the course of a work day, each subject wore a personal inhalable dust sampler (IOM), and provided an end of shift urine sample that underwent global metabolomics profiling. Both exposed and unexposed subjects were divided into a training set and demographically similar validation set. Using a two-sided adjusted t-test, relative abundances of all metabolites found were compared between Mn exposed and unexposed training sets, and those with a false discovery rates (FDR) <0.1 were further tested in the validation sets. Results: Fifteen ions were found to be significantly different (FDR < 0.1) between the exposed and unexposed training sets, and nine of these ions remained significantly different between the exposed and unexposed validation set as well. When further dividing exposure status into 'lower exposure' and 'higher exposure', several of these nine ions exhibited an apparent exposure-response relationship. Conclusions: This is the first time that metabolomics has been used to distinguish between Mn exposure status in an occupational cohort, though additional work should be done to replicate these findings with a larger cohort. With metabolite identification by name, empirical formula, or pathway, a better understanding of the relationship between Mn exposure and neurotoxic effects could be elucidated, and a potential metabolite biomarker of Mn exposure could be determined.
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What OpenQuestion holds
Registered trials
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.