Evidence map›Paper›PMID 40550877›Full record

ArticleNature aging2025

Comprehensive evaluation of plasma tau biomarkers for detecting and monitoring Alzheimer's disease in a multicenter and multiethnic aging population.

Guoyu Lan, Mengjie Wang, Fernando Gonzalez-Ortiz, Laihong Zhang, Anqi Li, Binyin Li, Mingxing Jiang, Jie Yang, Xuhui Chen, Dai Shi and 25 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Nature aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Diagnostic accuracy of plasma p-tau217 against amyloid PET: A meta-analysis of technical platform variability and ratio versus single marker comparisons.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Pooled it
  2. Exploring longitudinal relationships among Alzheimer's disease biomarkers.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
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  9. Associations ofAlzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  10. Article
  11. Head-to-head comparison of brain-derived pTau217 and total pTau217 for brain amyloid and tau pathology classification.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  12. Association of plasma p-tau and p-tau/Aβ ratio with Alzheimer's pathology.The journal of prevention of Alzheimer's disease · 2026
    Article
  13. A novel eye-tracking digital marker outperforms plasma biomarkers in detecting cognitive impairment.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Detecting Alzheimer's disease using digital virtual reality cognitive tests.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  19. Article
  20. 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

35 authors.

Guoyu Lan *Institute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.ORCID http://orcid.org/0000-0003-2925-1738
Mengjie Wang *Department of Nuclear Medicine and PET Center, Huashan Hospital, Fudan University, Shanghai, China.
Fernando Gonzalez-Ortiz *Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden.ORCID http://orcid.org/0000-0001-7897-9456
Laihong Zhang *Institute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.
Anqi LiInstitute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.ORCID http://orcid.org/0000-0002-7793-224X
Binyin LiDepartment of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Mingxing JiangInstitute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.
Jie YangInstitute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.
Xuhui ChenDepartment of Neurology, Peking University Shenzhen Hospital, Shenzhen, China.
Dai ShiNeurology Medicine Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Xiang FanDepartment of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, China.
Yue CaiInstitute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.
Pan SunInstitute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.ORCID http://orcid.org/0000-0002-7135-2631
Lin LiuInstitute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.
Jieyin LiInstitute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.
Zhengbo HeInstitute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.
Lili FangInstitute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.
Xin ZhouInstitute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.ORCID http://orcid.org/0009-0001-9321-3632
Linting ChenInstitute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.
Yiying WangInstitute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.
Mingxu LiInstitute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.
Zhen LiuInstitute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.
Qingyong WangDepartment of Neurology, Shenzhen Guangming District People's Hospital, Shenzhen, China.
Linsen XuDepartment of Medical Imaging, Shenzhen Guangming District People's Hospital, Shenzhen, China.
Liemin ZhouNeurology Medicine Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Guanxun ChengDepartment of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, China.
Xinlu WangDepartment of Nuclear Medicine, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Pengcheng RanDepartment of Nuclear Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China.
Lu WangDepartment of Nuclear Medicine, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Kun SunInstitute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen, China.ORCID http://orcid.org/0000-0002-9883-1616
Ying HanInstitute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China.
Yihui GuanDepartment of Nuclear Medicine and PET Center, Huashan Hospital, Fudan University, Shanghai, China.
Kaj BlennowInstitute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden. kaj.blennow@neuro.gu.se.ORCID http://orcid.org/0000-0002-1890-4193
Fang XieDepartment of Nuclear Medicine and PET Center, Huashan Hospital, Fudan University, Shanghai, China. fangxie@fudan.edu.cn.ORCID http://orcid.org/0000-0003-2667-281X
Tengfei GuoInstitute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, China. tengfei.guo@szbl.ac.cn.ORCID http://orcid.org/0000-0003-2982-0865

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82171197National Natural Science Foundation of China (National Science Foundation of China) 82301380National Natural Science Foundation of China (National Science Foundation of China) U24A20340
6 · The paper itself

Abstract

Over 20% of patients with Alzheimer's disease (AD) worldwide are Chinese, although the efficacy of existing blood-based measures of AD biomarkers is largely unknown in Asian cohorts. Here we explored how plasma tau biomarkers correlated with cross-sectional and longitudinal AD-related outcomes and their diagnostic performance in 1,085 participants from three independent studies, including two Chinese cohorts, Greater-Bay-Area Healthy Aging Brain Study (n = 425) and Huashan (n = 297), and the North American Alzheimer's Disease Neuroimaging Initiative cohort (n = 363). Plasma p-tau217 performed best in classifying Aβ-positron emission tomography (PET) and tau-PET positivity throughout the AD continuum and correlated with all AD-related outcomes. A two-cutoff approach suggested that participants with intermediate plasma p-tau217 levels experienced rapid accumulation of Aβ-PET and entorhinal tau-PET, as well as accelerated hypometabolism and cognitive decline. Increased plasma p-tau217 was also associated with rapid longitudinal changes in Aβ-PET, tau-PET and neurodegeneration. These results suggest that plasma p-tau217 is superior in detecting multiple aspects of AD-related pathological changes and tracking disease progression.

Indexed as

AgingAlzheimer Diseasetau ProteinsAgedAged, 80 and overAmyloid beta-PeptidesBiomarkersBrainCognitive DysfunctionCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedPositron-Emission TomographyAmyloid beta-PeptidesBiomarkerstau Proteins

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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.