ArticleNature aging2026
Structural signature of plasma proteins classifies the status of Alzheimer's disease.
Article in Nature aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07516119 (Assessing Tools That Predict and Stage Mild Cognitive Impairment), which is not on this map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Assessing Tools That Predict and Stage Mild Cognitive Impairment
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Authors and funding
10 authors.
Funding
Abstract
Alzheimer's disease (AD) involves proteostasis dysregulation causing protein misfolding, but whether these structural changes manifest as plasma conformational biomarkers remains unclear. We profiled plasma protein structures from 520 participants including individuals with AD, individuals with mild cognitive impairment (MCI) and healthy controls. Using mass spectrometry and machine learning, we systematically characterized the structural proteome changes associated with ApoE variations and neuropsychiatric symptoms to identify AD-specific signatures. We developed a diagnostic panel using peptides from C1QA, CLUS and ApoB representing AD-associated structural changes. This three-marker panel achieved 83.44% accuracy in three-way classification (healthy versus MCI versus AD). Binary classification yielded area under the receiver operating characteristic curves of 0.9343 for healthy versus MCI and 0.9325 for MCI versus AD. Longitudinal samples were classified with 86.0% accuracy. This multi-marker panel based on plasma protein structural alterations represents a promising diagnostic approach that may enhance early AD detection and provide insights for clinical trials, improving therapeutic outcomes.
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