ArticleNature medicine2025
A plasma proteomics-based candidate biomarker panel predictive of amyotrophic lateral sclerosis.
Article in Nature medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Cerebrospinal fluid inflammatory proteomic profiling identifies biomarkers linked to disease progression in amyotrophic lateral sclerosis.Journal of neurology · 2026Article
- Advancement in therapeutic application of quantum dots in amyotrophic lateral sclerosis: current opportunities and challenges.Drug delivery and translational research · 2026Review
- Artificial Intelligence in Neuromuscular Diseases: Opportunities for a Data-Scarce Field.Neurology and therapy · 2026Review
- Explainable Plasma Proteomics-Based Machine Learning for Osteoporosis Diagnosis, Prognosis, and Protein Biomarker Discovery in the UK Biobank.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026Article
- Protein Biomarkers in Risk and Prognosis of Amyotrophic Lateral Sclerosis.European journal of neurology · 2026Article
- Longitudinal plasma proteomics predict phenoconversion to clinically manifest ALS.Nature medicine · 2026Article
- Aptamer-Based Platforms for Human Aging Biomarkers: Multiplexed Proteomics, Biosensors and Translational Perspectives.International journal of molecular sciences · 2026Review
- Proteogenomics in human populations.Nature reviews. Genetics · 2026Review
- Troponin T and Neurofilament Light Chain Levels as Complementary Biomarkers of Disease Accumulation and Aggressiveness in Amyotrophic Lateral Sclerosis.Annals of clinical and translational neurology · 2026Article
- Metabolomic analyses of amyotrophic lateral sclerosis, muscle cramps, and TJ-68 treatment.Metabolomics : Official journal of the Metabolomic Society · 2026Article
- Identification of a 10-protein plasma signature for preclinical gout risk beyond serum urate: a robustness-first proteomic study in 33,147 normouricaemic individuals.Journal of translational medicine · 2026Article
- The Target ALS Global Natural History Study: Cross-platform proteomics to accelerate biofluid biomarker and drug target discovery in amyotrophic lateral sclerosis.medRxiv : the preprint server for health sciences · 2026Article
- TDP-43: [GU]-ardian of the transcriptome.Molecular neurodegeneration · 2026Review
- The hypothalamus is an early site of mitochondrial failure and neuro-immune circuit disruption in amyotrophic lateral sclerosis.Molecular metabolism · 2026Article
- Predicting amyotrophic lateral sclerosis stage based on multi-parameter ultrasound: development and validation of an interpretable machine learning model.BMC medicine · 2026Article
- Longitudinal plasma proteomics identifies diagnostic and response-associated inflammatory and immune biomarkers in psoriasis following secukinumab therapy.Frontiers in immunology · 2026Article
- Strenuous physical activity is associated with a younger age of amyotrophic lateral sclerosis onset in two independent cohorts.Brain communications · 2026Article
- Beyond neurofilaments: a multidimensional blood signature for amyotrophic lateral sclerosis.Brain communications · 2026Article
- Establishing Diagnostic and Differential Diagnostic Criteria for Amyotrophic Lateral Sclerosis.Journal of clinical medicine · 2025Review
- Mapping the circulating proteome across neurodegeneration: A harmonized, consortium-scale framework for uncovering molecular pathophysiology.bioRxiv : the preprint server for biology · 2025Article
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Authors and funding
41 authors.
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Abstract
Identifying a reliable biomarker for amyotrophic lateral sclerosis (ALS) is crucial for clinical practice. Here, in this cross-sectional study, we used the Olink Explore 3072 platform to investigate plasma proteomics as a biomarker tool for this neurodegenerative condition. Thirty-three proteins were differentially abundant in the plasma of patients with ALS (n = 183) versus controls (n = 309). We replicated our findings in an independent cohort (n = 48 patients with ALS and n = 75 controls). We then applied machine learning to create a model that diagnosed ALS with high accuracy (area under the curve, 98.3%). By analyzing plasma samples from individuals before ALS symptoms emerged, we estimated the age of clinical onset and showed that the disease process-impacting skeletal muscle, nerves and energy metabolism-occurs years before symptoms appear. Our research suggests that plasma proteins can be a biomarker for this fatal disease and offers molecular insights into its prodromal phase.
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