Evidence map›Paper›PMID 40877465›Full record

ArticleMolecular psychiatry2026

Associations between trajectories of plasma biomarkers for Alzheimer's disease, brain structures, and cognitive function: a prospective cohort study in the UK Biobank.

Xin Huang, Xiaolei Han, Hongli Chang, Tianyu Yu, Yi Dong, Ming Mao, Jiahao Ding, Xuewei Li, Huanjun Liu, Minle Tian and 7 more

Abstract read
In one paragraph

Article in Molecular psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. MethylCog predicts six-year cognitive ability beyond blood-based ADRD biomarkers.medRxiv : the preprint server for health sciences · 2026
    Article
  8. Comparative analyses of Alzheimer's disease blood biomarkers and cognitive domains.medRxiv : the preprint server for health sciences · 2026
    Article
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Xin Huang *Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
Xiaolei Han *Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
Hongli Chang *Shandong Institute of Brain Science and Brain-inspired Research; Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, P.R. China.
Tianyu YuDepartment of Neurology, Shandong Provincial Hospital affiliated to Shandong University, Jinan, Shandong, P.R. China.
Yi DongKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
Ming MaoKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
Jiahao DingShandong Institute of Brain Science and Brain-inspired Research; Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, P.R. China.
Xuewei LiKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
Huanjun LiuKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
Minle TianKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
Xiaomeng LiKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
Yumei WangDepartment of Clinical Psychology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
Yanping BaoNational Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence Research, Peking University, Beijing, P.R. China.ORCID http://orcid.org/0000-0002-1881-0939
Yifeng DuKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
Chengxuan QiuKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China. chengxuan.qiu@ki.se.ORCID http://orcid.org/0000-0003-1922-4912
Lin LuShandong Institute of Brain Science and Brain-inspired Research; Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, P.R. China. linlu@bjmu.edu.cn.ORCID http://orcid.org/0000-0003-0742-9072
Yongxiang WangKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China. yongxiang.wang@ki.se.ORCID http://orcid.org/0000-0002-8832-7301

Funding

Alzheimer's Association AACSFD-22-922844National Natural Science Foundation of China (National Science Foundation of China) 82171175Natural Science Foundation of Shandong Province (Shandong Provincial Natural Science Foundation) ZR2021MH005, ZR2023QH206 and ZR2023QH212
6 · The paper itself

Abstract

Plasma amyloid-β(Aβ)42/40 ratio, glial fibrillary acidic protein (GFAP), neurofilament light (NfL), and phosphorylated tau181(p-tau181) are promising biomarkers for Alzheimer's disease (AD)-related pathology. We aimed to explore the longitudinal trajectories of these biomarkers in association with changes in structural brain markers and cognition, and the impact of cognitive reserve on their associations with cognitive function. This cohort study included 1270 individuals (mean age 59.7 years; 58.9% women) derived from the UK Biobank who had data on plasma biomarkers available at baseline (2014-2020); of these, data were available in 904 individuals for brain MRI scans and in 1183 for cognitive function. In 2021-2022, follow-up brain MRI markers and cognitive function were assessed. Plasma Aβ, GFAP, NfL, and p-tau181 were quantified using single-molecule array technology. Brain MRI scans were used to assess atrophic brain measures and white matter microstructures. Cognitive reserve was indexed by education, with college degree or above being defined as high cognitive reserve. Higher baseline plasma GFAP and NfL were significantly associated with brain atrophy and impaired white matter microstructure. The longitudinal increase in plasma GFAP was correlated with accelerated deterioration in processing speed (β = -0.041, P = 0.002) and visual attention (β = -0.048, P = 0.001), and with impaired white matter microstructure. Importantly, high cognitive reserve significantly mitigated the association between increases in plasma GFAP and NfL and accelerated decline in processing speed. These results indicate that plasma GFAP and NfL are surrogate biomarkers for structural brain health and cognitive health, and that high cognitive reserve may modify the cognitive trajectories associated with Alzheimer's pathology.

Indexed as

Alzheimer DiseaseCognitionAgedAmyloid beta-PeptidesBiological Specimen BanksBiomarkersBrainCognitive ReserveCohort StudiesFemaleGlial Fibrillary Acidic ProteinHumansMagnetic Resonance ImagingMaleMiddle AgedNeurofilament ProteinsAmyloid beta-PeptidesBiomarkersGFAP protein, humanGlial Fibrillary Acidic Proteinneurofilament protein LNeurofilament ProteinsPeptide Fragmentstau Proteins

Identifiers

PMID40877465
PMCPMC12815683

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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.