Evidence map›Paper›PMID 41795086›Full record

ArticleJournal of neuroinflammation2026

CSF microtubule-associated protein 1 light chain 3A and 3B levels are associated with tau pathology and Alzheimer's disease risk through amyloid deposition and microglial signaling.

Hai-Hua Guo, Dan Su, Bo Song, Zhi Geng, Lu Wang, Wen Wang, Wenjie Hu, Xiaoxue Li, Weiqiang Li, Gu Zhang and 7 more

Abstract read
In one paragraph

Article in Journal of neuroinflammation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hai-Hua Guo *Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.ORCID http://orcid.org/0009-0003-9383-4361
Dan Su *Department of Geriatrics, Liangxiang Hospital of Beijing Fangshan District, Beijing, 102400, China.ORCID http://orcid.org/0000-0002-6090-5990
Bo Song *Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.ORCID http://orcid.org/0009-0001-0236-1446
Zhi GengDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.ORCID http://orcid.org/0000-0002-5948-6215
Lu WangDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.ORCID http://orcid.org/0000-0002-0184-9570
Wen WangDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.ORCID http://orcid.org/0000-0003-0986-8853
Wenjie HuDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.ORCID http://orcid.org/0000-0003-1795-1710
Xiaoxue LiSchool of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230032, China.
Weiqiang LiDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
Gu ZhangDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.ORCID http://orcid.org/0009-0007-9952-6027
Miao FangDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.ORCID http://orcid.org/0009-0003-0109-8695
Yulong DaiDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.ORCID http://orcid.org/0009-0009-9633-4614
Panpan HuDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.ORCID http://orcid.org/0000-0002-1683-2739
Xingqi WuDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China. wuxq@fy.ahmu.edu.cn.ORCID http://orcid.org/0000-0003-0646-1353
Kai WangDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China. kwang@ahmu.edu.cn.ORCID http://orcid.org/0000-0002-6197-914X
Ling WeiDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China. weil@fy.ahmu.edu.cn.ORCID http://orcid.org/0000-0001-5794-8749
Alzheimer’s Disease Neuroimaging Initiative

Funding

2021 Youth Foundation training program of the First Affiliated Hospital of Anhui Medical University 2021kj19Anhui Province Clinical Medical Research Transformation Special Project 202204295107020006Anhui Provincial Department of Education Scientific Research Project for Doctoral Students 2025AHGXZK50040Natural Science Foundation of China 82090034Natural Science Foundation of China 82101498Natural Science Foundation of China 82371201Natural Science Foundation of the Xizang Autonomous Region Group Medical Aid Project to Xizang XZZR202402048Research Fund of Anhui Institute of Translational Medicine 2022zhyx-B11
6 · The paper itself

Abstract

backgroundAutophagy has recently attracted increasing attention for its critical involvement in Alzheimer’s Disease (AD) pathogenesis. However, the role of microtubule-associated protein 1 light chain 3 A (LC3A) and B (LC3B), key autophagic-associated proteins in cognitive decline, AD risk, and underlying pathology remain unclear.

methodsThis study included 568 participants from the Alzheimer’s Disease Neuroimaging Initiative with cerebrospinal fluid (CSF) measurements of LC3A and LC3B. We systematically assessed the associations of LC3A and LC3B with cognition, dementia risk, AD biomarkers, microglial activity, brain volume, and metabolism through both cross-sectional and longitudinal analyses. Additionally, subgroup analyses based on ATN classification were conducted to evaluate stage-specific effects, and Receiver operating characteristic (ROC) analyses were employed to explore the clinical predictive value of LC3A and LC3B. Finally, mediation models were used to investigate the potential mechanisms by which LC3A and LC3B affect AD pathology and cognition.

resultsElevated CSF LC3A and LC3B levels were negatively associated with cognition, while positively associated with amyloid deposition, total tau (t-tau), phosphorylated tau (p-tau), progranulin (PGRN), and soluble Triggering Receptor Expressed on Myeloid Cells-2 (sTREM2) at baseline. Higher CSF LC3A and LC3B concentrations were linked to an increased risk of dementia, accelerated longitudinal cognitive decline, greater brain atrophy, faster accumulation of t-tau, and longitudinal associations with sTREM2. Individuals with TN+ exhibited significantly higher CSF LC3A and LC3B levels compared to those with TN−. Moreover, CSF LC3A alone could predict TN−/TN+ status with an area under the curve (AUC) of 0.903, which increased to 0.939 when combined with amyloid PET. Similarly, CSF LC3B alone yielded an AUC of 0.876, rising to 0.913 when combined with amyloid PET. Finally, amyloid deposition and microglial activation individually or jointly, mediated the effects of LC3A and LC3B on tau pathology and cognitive decline.

conclusionsCSF LC3A and LC3B, reflecting autophagic activation, are linked to elevated tau pathology and an increased risk of AD. They may jointly contribute to AD pathological progression alongside amyloid deposition and microglial activation. LC3A and LC3B as robust candidate biomarkers for monitoring pathological burden, stratifying disease risk, and informing clinical evaluation in AD.

Indexed as

Alzheimer DiseaseMicrogliaMicrotubule-Associated Proteinstau ProteinsAgedAged, 80 and overAmyloid beta-PeptidesBiomarkersCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleSignal TransductionAmyloid beta-PeptidesBiomarkersMAP1LC3A protein, humanMAP1LC3B protein, humanMicrotubule-Associated Proteinstau ProteinsAlzheimer’s diseaseAmyloid beta-PeptidesAutophagyMicrogliaTau Proteins

Identifiers

PMID41795086
PMCPMC13001367

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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.