Evidence map›Paper›PMID 36647262›Full record

ArticleHuman brain mapping2023

Tau as a biomarker of cognitive impairment and neuropsychiatric symptom in Alzheimer's disease.

Mingxi Dang, Qian Chen, Xiaobin Zhao, Kewei Chen, Xin Li, Junying Zhang, Jie Lu, Lin Ai, Yaojing Chen, Zhanjun Zhang

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
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, 21 citations in OpenAlex.

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  14. Updates and future perspectives on neuropsychiatric symptoms in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
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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

10 authors at 4 institutions in 2 countries.

Mingxi DangState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Qian ChenDepartment of Nuclear Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xiaobin ZhaoDepartment of Nuclear Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Kewei ChenBanner Alzheimer's Institute, Phoenix, Arizona, USA.
Xin LiState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Junying ZhangInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
Jie LuDepartment of Radiology, Xuanwu Hospital of Capital Medical University, Beijing, China.ORCID 0000-0003-0425-3921
Lin AiDepartment of Nuclear Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yaojing ChenState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Zhanjun ZhangState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.ORCID 0000-0001-7266-4218
Beijing Normal University · CNCapital Medical University · CNAlzheimer's Association · USChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

Research Education ComponentP30AG019610 · NIA · SUN HEALTH RESEARCH INSTITUTE · PI REIMAN, ERIC MICHAEL · 2001 to 2020
$32.5M
Research Education ComponentP30AG072980 · NIA · BANNER HEALTH · PI Nicholas Ashton · 2021 to 2026
$24.9M
NIA NIH HHS P30 AG019610NIA NIH HHS P30 AG072980
6 · The paper itself

Abstract

The A/T/N research framework has been proposed for the diagnosis and prognosis of Alzheimer's disease (AD). However, the spatial distribution of ATN biomarkers and their relationship with cognitive impairment and neuropsychiatric symptoms (NPS) need further clarification in patients with AD. We scanned 83 AD patients and 38 cognitively normal controls who independently completed the mini-mental state examination and Neuropsychiatric Inventory scales. Tau, Aβ, and hypometabolism spatial patterns were characterized using Statistical Parametric Mapping together with [18F]flortaucipir, [18F]florbetapir, and [18F]FDG positron emission tomography. Piecewise linear regression, two-sample t-tests, and support vector machine algorithms were used to explore the relationship between tau, Aβ, and hypometabolism and cognition, NPS, and AD diagnosis. The results showed that regions with tau deposition are region-specific and mainly occurred in inferior temporal lobes in AD, which extensively overlaps with the hypometabolic regions. While the deposition regions of Aβ were unique and the regions affected by hypometabolism were widely distributed. Unlike Aβ, tau and hypometabolism build up monotonically with increasing cognitive impairment in the late stages of AD. In addition, NPS in AD were associated with tau deposition closely, followed by hypometabolism, but not with Aβ. Finally, hypometabolism and tau had higher accuracy in differentiating the AD patients from controls (accuracy = 0.88, accuracy = 0.85) than Aβ (accuracy = 0.81), and the combined three were the highest (accuracy = 0.95). These findings suggest tau pathology is superior over Aβ and glucose metabolism to identify cognitive impairment and NPS. Its results support tau accumulation can be used as a biomarker of clinical impairment in AD.

Indexed as

Alzheimer DiseaseCognitive DysfunctionAmyloid beta-PeptidesBiomarkersBrainHumansPositron-Emission Tomographytau ProteinsAmyloid beta-PeptidesBiomarkerstau ProteinsAlzheimer's diseaseamyloid-βcognitive impairmenthypometabolismneuropsychiatric symptomstau

Identifiers

PMID36647262
PMCPMC9842886
OpenAlexW4291378105

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.