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August 19, 2025Nature MedicineOpen Access

A plasma proteomics-based candidate biomarker panel predictive of amyotrophic lateral sclerosis

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Authors

RCRuth ChiaRMRuin MoaddelJKJustin Kwan

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Overview

Cross-sectional analysis revealed plasma protein biomarkers for amyotrophic lateral sclerosis, indicating early diagnosis potential.

Key Points

  • The machine learning model diagnosed ALS with 98.3% accuracy, pointing to promising early detection.
  • Thirty-three proteins were found to be differentially abundant in ALS patients compared to controls.
  • This cross-sectional study utilized the Olink Explore 3072 platform for proteomics analysis.
  • Identifying biomarkers in the prodromal phase may highlight early interventions for ALS.

Cite This Study

Chia et al. (2025) studied this question.

synapsesocial.com/papers/68af33ddcf1dd9ea359e8992https://doi.org/10.1038/s41591-025-03890-6
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