# Exploratory Metabolomic and Lipidomic Profiling in a Manganese-Exposed Parkinsonism-Affected Population in Northern Italy

**Authors:** Freeman Lewis, Daniel Shoieb, Somaiyeh Azmoun, Elena Colicino, Yan Jin, Jinhua Chi, Hari Krishnamurthy, Donatella Placidi, Alessandro Padovani, Andrea Pilotto, Fulvio Pepe, Marinella Tula, Patrizia Crippa, Xuexia Wang, Haiwei Gu, Roberto Lucchini

PMC · DOI: 10.3390/metabo15070487 · 2025-07-20

## TL;DR

This study finds that manganese exposure and Parkinsonism are linked to specific changes in blood metabolites and lipids, suggesting potential biomarkers for environmentally caused Parkinsonism.

## Contribution

The study identifies novel metabolomic and lipidomic biomarkers associated with manganese exposure and Parkinsonism in a population-based setting.

## Key findings

- Whole-blood manganese levels were significantly higher in Parkinsonism cases compared to controls.
- Metabolomic changes included elevated 3-sulfoxy-L-tyrosine and disrupted glutamate metabolism in Parkinsonism cases.
- Lipidomic profiles showed altered triacylglycerols and phosphatidylethanolamines, with enriched ferroptosis and endocannabinoid signaling.

## Abstract

Background/Objectives: Chronic manganese (Mn) exposure is a recognized environmental contributor to Parkinsonian syndromes, including Mn-induced Parkinsonism (MnIP). This study aimed to evaluate whole-blood Mn levels and investigate disease/exposure-status-related alterations in metabolomic and lipidomic profiles. Methods: A case–control study (N = 97) was conducted in Brescia, Italy, stratifying participants by Parkinsonism diagnosis and residential Mn exposure. Whole-blood Mn was quantified using ICP-MS. Untargeted metabolomic and lipidomic profiling was conducted using LC-MS. Statistical analyses included Mann–Whitney U tests, conditional logistic regression, ANCOVA, and pathway analysis. Results: Whole-blood Mn levels were significantly elevated in Parkinsonism cases vs. controls (median: 1.55 µg/dL [IQR: 0.75] vs. 1.02 µg/dL [IQR: 0.37]; p = 0.001), with Mn associated with increased odds of Parkinsonism (OR = 2.42, 95% CI: 1.13–5.17; p = 0.022). The disease effect metabolites included 3-sulfoxy-L-tyrosine (β = 1.12), formiminoglutamic acid (β = 0.99), and glyoxylic acid (β = 0.83); all FDR p < 0.001. The exposure effect was associated with elevated glycocholic acid (β = 0.51; FDR p = 0.006) and disrupted butanoate (Impact = 0.03; p = 0.004) and glutamate metabolism (p = 0.03). Additionally, SLC-mediated transmembrane transport was enriched (p = 0.003). The interaction effect identified palmitelaidic acid (β = 0.30; FDR p < 0.001), vitamin B6 metabolism (Impact = 0.08; p = 0.03), and glucose homeostasis pathways. In lipidomics, triacylglycerols and phosphatidylethanolamines were associated with the disease effect (e.g., TG(16:0_10:0_18:1), β = 0.79; FDR p < 0.01). Ferroptosis and endocannabinoid signaling were enriched in both disease and interaction effects, while sphingolipid metabolism was specific to the interaction effect. Conclusions: Mn exposure and Parkinsonism are associated with distinct metabolic and lipidomic perturbations. These findings support the utility of omics in identifying environmentally linked Parkinsonism biomarkers and mechanisms.

## Linked entities

- **Chemicals:** manganese (PubChem CID 23930), formiminoglutamic acid (PubChem CID 439233), glyoxylic acid (PubChem CID 760), glycocholic acid (PubChem CID 10140), palmitelaidic acid (PubChem CID 5282745), triacylglycerols (PubChem CID 5460048)

## Full-text entities

- **Diseases:** Parkinsonian syndromes (MESH:D020734), MnIP (MESH:D010302)
- **Chemicals:** glutamate (MESH:D018698), TG (MESH:D013866), triacylglycerols (MESH:D014280), glyoxylic acid (MESH:C031150), palmitelaidic acid (MESH:C008757), endocannabinoid (MESH:D063388), vitamin B6 (MESH:D025101), glycocholic acid (MESH:D006000), glucose (MESH:D005947), phosphatidylethanolamines (MESH:D010714), sphingolipid (MESH:D013107), formiminoglutamic acid (MESH:D005565), Manganese (MESH:D008345), 3-sulfoxy-L-tyrosine (-)

## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12299838/full.md

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Source: https://tomesphere.com/paper/PMC12299838