Evidence map›Paper›PMID 35694256›Full record

ArticleFrontiers in pharmacology2022

Comparative Metabolomics Analysis Reveals Key Metabolic Mechanisms and Protein Biomarkers in Alzheimer's Disease.

Zhao Dai, Tian Hu, Shijie Su, Jinman Liu, Yinzhong Ma, Yue Zhuo, Shuhuan Fang, Qi Wang, Zhizhun Mo, Huafeng Pan and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Zhao DaiScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Tian HuScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Shijie SuScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Jinman LiuScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Yinzhong MaInstitute of Biomedicine and Biotechnology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Yue ZhuoInstitute of Biomedicine and Biotechnology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Shuhuan FangScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Qi WangScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Zhizhun MoEmergency Department, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China.
Huafeng PanScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Jiansong FangScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Guangzhou University of Chinese Medicine · CNChinese Academy of Sciences · CNShenzhen Pingle Orthopedic Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is one of the most common progressive neurodegenerative diseases, accompanied by global alterations in metabolic profiles. In the past 10 years, over hundreds of metabolomics studies have been conducted to unravel metabolic changes in AD, which provides insight into the identification of potential biomarkers for diagnosis, treatment, and prognostic assessment. However, since different species may lead to systemic abnormalities in metabolomic profiles, it is urgently needed to perform a comparative metabolomics analysis between AD animal models and human patients. In this study, we integrated 78 metabolic profiles from public literatures, including 11 metabolomics studies in different AD mouse models and 67 metabolomics studies from AD patients. Metabolites and enrichment analysis were further conducted to reveal key metabolic pathways and metabolites in AD. We totally identified 14 key metabolites and 16 pathways that are both differentially significant in AD mouse models and patients. Moreover, we built a metabolite-target network to predict potential protein markers in AD. Finally, we validated HER2 and NDF2 as key protein markers in APP/PS1 mice. Overall, this study provides a comprehensive strategy for AD metabolomics research, contributing to understanding the pathological mechanism of AD.

Indexed as

Alzheimer’s diseasebiomarkerHER2metabolomeNDF2

Identifiers

PMID35694256
PMCPMC9174950
OpenAlexW4281484713

What OpenQuestion holds

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Registered trials

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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.