Evidence map›Paper›PMID 41174000›Full record

ArticleScientific reports2025

Combined multi-omics and brain pathology reveal novel biomarkers for alzheimer's disease.

Qingqing Zhao, Chen Gou, Guoshuai Luo, Shujuan Dai, Dan Wang, Shifei Zhang, Feng Wang, Hui Xu, Yanbing Han, Shitao Wang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Qingqing ZhaoFirst Department of Neurology, First Affiliated Hospital, Kunming Medical University, Kunming, China.
Chen GouFirst Department of Neurology, First Affiliated Hospital, Kunming Medical University, Kunming, China.
Guoshuai LuoInstitute of Mental Health, Tianjin Mental Health Center, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China.
Shujuan DaiFirst Department of Neurology, First Affiliated Hospital, Kunming Medical University, Kunming, China.
Dan WangFirst Department of Neurology, First Affiliated Hospital, Kunming Medical University, Kunming, China.
Shifei ZhangDepartment of Intervention, First Affiliated Hospital, Kunming Medical University, Kunming, China.
Feng WangFirst Department of Neurology, First Affiliated Hospital, Kunming Medical University, Kunming, China.
Hui XuDepartment of Neurology, Affiliated Fuyang People's Hospital of Anhui Medical University, Fuyang, China.
Yanbing HanFirst Department of Neurology, First Affiliated Hospital, Kunming Medical University, Kunming, China. ynhyb@163.com.
Shitao WangDepartment of Neurology, Affiliated Fuyang People's Hospital of Anhui Medical University, Fuyang, China. wangshitaomd@163.com.

Funding

Kunming Medical University Joint Special Key Project 202401AY070001-008National Natural Science Foundation of China 81260199, 81660228, and 82160261Yunnan High-Level Talent Training Support Program Famous Doctor Special Project RLMY20200005Yunnan Province Key Research and Development Program 202303AC100026Yunnan Province Talent Training Program L-2019019
6 · The paper itself

Abstract

Alzheimer's disease (AD) is a complex disorder with significant genetic contributions, yet only a limited number of risk loci have been conclusively identified. This research aimed to discover novel potential biomarkers for AD through multi-omics and brain pathology analysis. In this study, we investigated hippocampal molecular alterations in APP/PS1 mouse using transcriptomics and data-independent acquisition (DIA) proteomics. To further validate the involvement of differentially expressed genes (DEGs) and differentially expressed proteins (DEPs) in AD pathology and potential drug treatment, we performed an integrative analysis incorporating pathological data and protein-protein interaction networks. We identified 263 DEGs and 448 DEPs. Integrative transcriptomic and proteomic analyses revealed five co-upregulated DEGs/DEPs and one co-downregulated DEG/DEP. Comparison of KEGG pathway enrichment between the two datasets showed significant involvement in the complement and coagulation cascade, as well as neurodegeneration-multiple diseases. Furthermore, mRNA levels of LY86, CD180, and C1QB were strongly associated with amyloid-β plaque load in the AD mouse hippocampus. Protein-protein interaction analysis suggested that APP, LY86, CD180, and C1QB could serve as potential therapeutic targets for AD. The study identified three novel AD loci (EGFL8, ERMN, and CD180), with CD180 showing association with AD at both the expression and pathological levels, highlighting their potential roles in disease progression and therapeutic intervention.

Indexed as

Alzheimer DiseaseBiomarkersBrainHippocampusAmyloid beta-Protein PrecursorAnimalsDisease Models, AnimalGene Expression ProfilingMiceMice, TransgenicMultiomicsProtein Interaction MapsProteomicsTranscriptomeAmyloid beta-Protein PrecursorBiomarkers

Identifiers

PMID41174000
PMCPMC12578835

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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.