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May 31, 20260 citationsOpen Access

Cold induced pain elicits reproducible breath metabolomic responses across geographically distinct populations.

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MRMélina RichardKSKapil Dev SinghDSDilan Sezer

Key Points

  • This study investigates whether measuring breath metabolites can indicate pain responses in individuals who cannot communicate their pain.
  • Proof-of-concept study using secondary electrospray ionization high-resolution mass spectrometry (SESI-HRMS).
  • Forty healthy adults underwent breath measurements before and after the cold pressor test (CPT).
  • Pathway enrichment and correlation analyses were performed on mass spectral data.
  • Over 400 upregulated breath features identified consistently across both Swiss and Chinese cohorts.
  • A neural network classifier achieved an area under the curve (AUC) of 0.856 with 78% accuracy in distinguishing pre- and post-CPT states.
  • Metabolic pathways implicated included amino acid metabolism and stress-related pathways.

Abstract

Observer-independent assessment of nociceptive states is particularly important in non-communicative or vulnerable patient populations, where self-report is unavailable. In this proof-of-concept study, we explored whether exhaled breath metabolomics, measured in real time using secondary electrospray ionization high-resolution mass spectrometry (SESI-HRMS), can capture rapid physiological responses to the cold pressor test (CPT), a standardized model of acute sympathetic and nociceptive activation. Forty healthy adults (n = 19 in Switzerland, n = 21 in China) underwent four breath measurements: two pre- and two post-CPT intervention. Mass spectral data revealed a reproducible and rapid metabolic shift, with over 400 upregulated features consistently observed across both cohorts. Pathway enrichment and correlation analyses implicated amino acid metabolism (e.g., glutamate, arginine, and threonine) and stress-related pathways (e.g., creatine, butanoate, and citric acid cycle intermediates). A neural network classifier distinguished pre-vs. post-CPT states (AUC = 0.856, 78% accuracy). Our findings support real-time breath analysis as a non-invasive method for detecting short-term physiological responses.

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Cite This Study

Richard et al. (2026) studied this question.

synapsesocial.com/papers/6a1bd12d5783ba022b6fcb96https://doi.org/10.48620/98000
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