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June 4, 2026Ecotoxicology and Environmental Safety0 citationsOpen Access

Machine learning–driven proteomic profiling reveals seminal plasma biomarkers linking trihalomethane exposure to impaired sperm quality

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SXSong XuXiamen UniversityHZHaixia ZhouXiamen UniversityYCYing-Jun ChenGuangdong Pharmaceutical University

Key Points

  • This study aims to identify biomarkers in seminal plasma associated with sperm quality impairment due to trihalomethane exposure.
  • Propensity score-matched case-control study design with Chinese sperm donors.
  • Used deep data-independent acquisition (DIA) proteomics to quantify 1666 seminal plasma proteins.
  • Applied an XGBoost machine learning algorithm to find optimal biomarkers with an AUC of 0.95.
  • Ten oligospermia biomarkers were found to be inversely associated with blood THM concentrations.
  • Identified proteins regulate pathways related to oxidative stress and energy metabolism.
  • Proposed mechanism indicates THM disrupts metabolism, impairing sperm motility and spermatogenesis.

Abstract

The decline in sperm quality has emerged as a major public health concern with significant implications for male fertility and population sustainability. However, high-accuracy biomarkers for sperm quality are lacking, and the environmental drivers remain obscure. Trihalomethanes (THMs), ubiquitous disinfection by-products in drinking water, have been linked to declining semen quality worldwide, yet the molecular mechanisms underlying THM-induced reproductive toxicity remain underexplored. In this propensity score-matched case-control study designed to maximize internal validity, we identified SP biomarkers of oligospermia and teratospermia among Chinese sperm donors and investigated their associations with THM exposure. Using deep data-independent acquisition (DIA) proteomics, we quantified 1666 SP proteins, including 73 proteins enriched in male reproductive tissues. A robust XGBoost machine learning algorithm, validated to mitigate overfitting, determined the optimal biomarker combination, achieving an AUC of 0.95. Ten oligospermia biomarkers-including five testis- or epididymis-specific proteins-were inversely associated with blood THM concentrations. These proteins regulate interconnected pathways related to oxidative stress and energy metabolism. We propose that THM-induced disruption of these fundamental metabolic machineries not only impairs sperm motility but also arrests spermatogenesis, leading to reduced sperm count. This study provides the first evidence linking SP proteomic signatures to THM exposure, offering novel insights into the mechanistic pathways of environmental reproductive toxicity.

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Cite This Study

Xu et al. (2026) studied this question.

synapsesocial.com/papers/6a211549d499ed480b16e7a6https://doi.org/10.1016/j.ecoenv.2026.120319
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