ArticlemedRxiv : the preprint server for health sciences2026
Plasma Proteomic Networks Reveal Shared Biology with Brain Linked to Alzheimer's Disease Pathology.
Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Alzheimer's disease (AD) drives widespread molecular changes beyond the brain that are increasingly detectable in plasma. To map plasma proteomic signatures of AD in a broadly unbiased manner with high depth and reproducibility, we profiled plasma from 214 individuals spanning cognitively normal controls, mild cognitive impairment, and AD using microbead-based enrichment and data-independent acquisition mass spectrometry (DIA-MS). We reliably quantified 5,823 proteins across samples, and network analysis identified 29 plasma modules enriched for functions related to lipid metabolism, extracellular matrix remodeling, immune signaling, mitochondrial function, and proteostasis. Several modules were associated with cognition, APOE4, sex, race, and cerebrospinal fluid (CSF) amyloid and tau biomarkers. Among 129 individuals with paired CSF and plasma biomarker measurements, over 1,500 proteins differed between CSF biomarker-positive and -negative groups, including amyloid-linked matrisome proteins such as SMOC1, FRZB, SPON1 and CTHRC1. A 10-protein plasma panel classified CSF biomarker positivity with performance similar to plasma pTau217 (AUC = 0.91), and combining both improved accuracy (AUC = 0.99). Integration with a human brain proteomic network revealed that two-thirds of plasma modules were preserved in brain, with many AD-altered modules changing concordantly across compartments. This study establishes a scalable DIA-MS plasma proteomics platform that captures systemic and brain-linked AD biology and identifies complementary biomarkers beyond phosphorylated tau.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.