Identification and validation of a tear fluid-derived protein biomarker signature in patients with amyotrophic lateral sclerosis

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Exploratory study identifies a six-protein signature in tear fluid, suggesting new ALS biomarkers.

A six-protein signature from tear fluid shows potential to differentiate ALS patients from controls, indicating its diagnostic utility.
Machine learning and biostatistical analysis revealed 106 differentially abundant proteins in tear fluid associated with ALS.
Validation of the protein signature was performed through Western blotting in an independent cohort, confirming its reliability.
Findings highlight dysregulated protein pathways, emphasizing inflammation as a significant feature in amyotrophic lateral sclerosis.

Scholl et al. (2025) studied this question.

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View Full Paper

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Authors

Exploratory study identifies a six-protein signature in tear fluid, suggesting new ALS biomarkers.

A six-protein signature from tear fluid shows potential to differentiate ALS patients from controls, indicating its diagnostic utility.
Machine learning and biostatistical analysis revealed 106 differentially abundant proteins in tear fluid associated with ALS.
Validation of the protein signature was performed through Western blotting in an independent cohort, confirming its reliability.
Findings highlight dysregulated protein pathways, emphasizing inflammation as a significant feature in amyotrophic lateral sclerosis.

Scholl et al. (2025) studied this question.

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