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Abstract

Rates of cognitive decline in Alzheimers disease (AD) are extremely heterogeneous, with ages of symptom onset ranging from age 40-100 years and conversion from mild cognitive impairment to AD dementia taking 2-20 years. Development of biomarkers for amyloid-beta (A{beta}) and tau protein aggregates, the hallmark pathologies of AD, have improved patient monitoring/stratification and drug development, but they still only explain 20-40% of the variance in cognitive impairment (CI) in AD. To discover additional molecular drivers and biomarkers of AD dementia, we perform cerebrospinal fluid (CSF) proteomics on 3,416 individuals from six deeply phenotyped prospective AD case-control cohorts. We identify synapse proteins as the strongest correlates of CI, independent of A{beta} and tau. Using machine learning we derive the CSF YWHAG:NPTX2 synapse protein ratio, a robust correlate of CI, which explains 27% of the variance in CI beyond CSF PTau181:A{beta}42, 10% beyond tau PET, and 50% beyond CSF NfL in A{beta} positive individuals. We find YWHAG:NPTX2 also increases with normal aging as early as age 20 and increases at a faster rate in APOE4 carriers and autosomal dominant-AD mutation carriers. Most notably, YWHAG:NPTX2+ individuals (top 25th percentile) are 15-times (HR=15.4 [10.6-22.2]) more likely to experience cognitive decline over 15 years compared to YWHAG:NPTX2- individuals (bottom 25th percentile), and this rises to 19-times (HR=18.9 [10.83-32.9]) with additional stratification by A{beta} and phosphorylated tau status. Lastly, we perform plasma proteomics on 4,245 individuals to develop a plasma-based signature of CI which partly recapitulates CSF YWHAG:NPTX2. Overall, our findings underscore CSF YWHAG:NPTX2 and the corresponding plasma signature as robust prognostic biomarkers for AD onset and progression beyond gold-standard biomarkers of A{beta}, tau, and neurodegeneration and implicate synapse dysfunction as a core driver of AD dementia.

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Claude Opus 5.5 · xhigh effort · 8 Nov 2026 · from the full text of version 1 (23 Jul 2024) · CC BY 4.0

CSF YWHAG:NPTX2 synapse protein ratio, from proteomics of 3,416 individuals across six cohorts, explains cognitive impairment beyond amyloid and tau and predicts decline (hazard ratio 15.4).

Amyloid-beta and tau biomarkers account for only 20-40% of variance in cognitive impairment in Alzheimer's disease (AD), and current neurodegeneration markers such as NfL add little beyond them. This work finds synapse proteins that track impairment independently of amyloid and tau, then reduces them to a two-protein CSF ratio and a plasma surrogate that both carry prognostic value.

Key results

  1. ShownAfter adjusting for PTau181:Aβ42, synapse proteins were the strongest CSF correlates of cognitive impairment (CI). LASSO with recursive feature elimination reduced 214 synapse proteins to a normalized YWHAG minus NPTX2 ratio, which replicated in cohorts not used for discovery.

    Discovery in Knight-ADRC and ADNI (7,289 SomaScan measurements): 675 up and 721 down proteins at BH q<0.05, with SynGO synapse enrichment; 2 proteins retained 83% of full model performance; the ratio correlated with CI at r=0.54 (ADNI), 0.55 (Knight-ADRC), 0.62 (Stanford) and 0.66 (DIAN). · CSF YWHAG:NPTX2 ratio explains a substantial…; Linear regression; Derivation of CSF YWHAG:NPTX2 ratio; Figure legends

  2. ShownThe ratio explains CI variance beyond the standard amyloid, tau and neurodegeneration markers. This includes tau PET (tested with the closely correlated YWHAZ:NPTX2 in BioFINDER2) and CSF neurofilament light (NfL).

    A+T1+ individuals: PTau181:Aβ42 explains 10% of CI variance and the ratio adds 27%; BioFINDER2 Aβ+: Aβ42:Aβ40 plus tau PET explain 35% and YWHAZ:NPTX2 adds 10% (YWHAZ vs YWHAG r=0.94); Stanford A+T1+ (n=31): ratio adds 50% beyond NfL (ratio vs NfL r=0.65); 62% of low-ratio vs 4% of high-ratio A+T1+ cases were cognitively normal. · CSF YWHAG:NPTX2 ratio explains a substantial…; Figure legends

  3. ShownBaseline CSF YWHAG:NPTX2 predicts later cognitive decline and dementia onset beyond amyloid/tau status in three longitudinal cohorts. Stratifying by the ratio separates risk far better than AT1 status alone.

    ADNI, Knight-ADRC and Stanford (n=1,365): per-SD meta hazard ratio (HR) 2.34 for stage progression in A+T1+ MCI-mild dementia; 1.92 for normal-to-dementia conversion in A+T1+ cognitively normal people (Stanford excluded for few events); top vs bottom 25th percentile HR 15.36, rising to 18.87 when combined with A+T1+ status, vs 3.96 for A+T1+ vs A–T1– alone (no covariates). · CSF YWHAG:NPTX2 ratio predicts future tau…; Abstract; Cox proportional hazards regression

  4. ShownA LASSO plasma signature built on 745 preselected proteins was developed after plasma YWHAG:NPTX2 itself showed no significant correlation with CI. The signature partly mirrors the CSF ratio, explains CI independently of autopsy pathology, and predicts both decline and dementia onset.

    Stanford test r=0.51 with CI (training: Knight-ADRC 0.66, ROSMAP 0.62); r=0.58 and 0.53 with the CSF ratio in 503 paired samples; in 126 ROSMAP autopsy-confirmed AD cases it explains 30% of CI variance, matching plaque plus tangle load (30%); per-SD meta HR 1.49 (progression) and 2.03 (conversion); extreme-quartile HR 4.51. · Plasma proteomic signature of cognitive…; Derivation of plasma signature of cognitive…; CODE AVAILABILITY

  5. ShownIn cognitively normal people the ratio rises with age from early adulthood, long before PTau181:Aβ42 changes. It rises faster in autosomal dominant AD (ADAD) mutation carriers and in APOE4 carriers, and the slope scales with mutation severity.

    DIAN cognitively normal participants under 55: carriers higher (p=7.21×10^−13) with a steeper age slope (interaction p=0.032); slope vs estimated onset age across onset bins Spearman r=–0.9, p=0.037; APOE4 dose by age interaction p=0.016, with APOE4 carriers rising 33% faster than APOE3/3; rise of 1.9 SD over 60 years of aging vs 2.7 SD from aged to dementia. · CSF YWHAG:NPTX2 ratio increases with normal…

Methods, data and reproducibility

Proteome-wide OLS regression of CDR-Global (clinical dementia rating) on CSF SomaScan proteins, adjusted for PTau181:Aβ42, age, sex, APOE4, cohort and proteome PC1, followed by LassoCV plus recursive feature elimination on 214 synapse proteins to derive YWHAG:NPTX2. Validation used linear models, Cox regression meta-analysis and a plasma LASSO surrogate.

  • Knight-ADRC CSF SomaScan (discovery) and plasma SomaScan (signature training) with CDR and Lumipulse amyloid/tau measures · human · n = 927 CSF; 2,112 plasma samples
  • ADNI CSF SomaScan (discovery and LASSO training) with later amyloid/tau PET and ADAS13 follow-up · human · n = 725 CSF samples
  • Stanford cohorts (ADRC, SAMS, BPD, SCMD): CSF SomaScan v4.0, plasma SomaScan (plasma test cohort), Olink NfL · human · n = 371 CSF; 1160 plasma samples (738 participants)
  • DIAN autosomal dominant AD family cohort, data freeze 15, CSF SomaScan · human · n = 455 CSF samples
  • BioFINDER2 Swedish cohort: targeted CSF LC-MS/MS synapse proteomics, tau PET, Elecsys amyloid and p-tau assays · human · n = 848 participants (480 unimpaired, 213 MCI, 155 AD dementia) · NCT03174938
  • Kuopio normal pressure hydrocephalus and AD registry: CSF TMT mass spectrometry with CERAD cognitive scores · human · n = 90 subjects
  • ROSMAP plasma SomaScan with neuropathology; autopsy-confirmed AD subset with blood drawn within 2 years of death · human · n = 973 plasma samples (890 participants); 126 autopsy subset
  • Pooled longitudinal cognitive follow-up (ADNI, Knight-ADRC, Stanford) used for Cox models · human · n = 1,365 subjects
Methods & tools
SomaScan aptamer assay v4.1 (~7,000 proteins) and v4.0 (~5,000 proteins), LC-MS/MS targeted CSF synapse proteomics (BioFINDER2), TMT-labelling mass spectrometry (Kuopio), Olink proteomics (CSF NfL), Lumipulse G1200 immunoassay (Aβ42, Aβ40, pTau181), Roche Elecsys assays (BioFINDER2), 18F-RO948 tau PET, statsmodels OLS, lifelines CoxPHFitter, scikit-learn LassoCV, RFECV and RFE, SynGO database, plasmaCI Python package
Reagents & environment
Python: statsmodels OLS, lifelines CoxPHFitter, scikit-learn LassoCV/RFECV/RFE (versions not stated); SomaScan v4.1 (v4.0 for Stanford CSF); the plasma signature exists in v4 and v4.1 versions (r=0.97).
Reproducibility gaps
No code repository URL; the plasma signature is said to ship in a 'plasmaCI' Python package (no link), with weights in Supplementary Table 7. Cohort data are request-only or controlled access (Stanford, NIAGADS, ADNI, DIAN, BioFINDER2 under EU GDPR).
Limitations (6)
  • APOE2 carriers showed no significantly different age slope from APOE3/3 homozygotes; the authors suggest this may reflect limited sample size. · stated by the authors
  • The authors call the biological meaning of CSF YWHAG:NPTX2 unclear (synapse dysfunction is a literature-based speculation) and leave its behaviour in non-AD dementias such as FTD and ALS untested. · stated by the authors
  • The claim that AD progression compresses about 84 years of normal-aging increase (about 4.3x slope) rests on an assumed 20-year interval from amyloid-positive normal cognition to dementia, because case and control groups are age-matched. · stated by the authors
  • CSF collection is invasive, which the authors note restricts its prognostic utility and broad clinical use, and their plasma-based replacement only partly recapitulates the CSF ratio. · stated by the authors
  • The headline hazard ratio of 15.36 compares the top and bottom 25th percentiles, drops the middle half and uses no covariates; the continuous per-SD estimate (2.35) is a more conservative measure of effect size. · noted in this summary
  • Outcome harmonization relies on proxies (MMSE terciles in BioFINDER2, global cognition z-scores in ROSMAP, CERAD in Kuopio), YWHAZ stands in for YWHAG in BioFINDER2, and the NfL comparison rests on only 31 individuals. · noted in this summary

Who should read:Read this if you work on Alzheimer's fluid biomarkers, cognitive resilience or proteomic prognostic models and want a synapse-based marker that adds information beyond amyloid, tau and NfL measures.

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