Evidence map›Paper›PMID 34616287›Full record

ArticleFrontiers in aging neuroscience2021

Microglia Mediate the Occurrence and Development of Alzheimer's Disease Through Ligand-Receptor Axis Communication.

Chongdong Jian, Lei Wei, Ruikang Mo, Rongjie Li, Lucong Liang, Liechun Chen, Chun Zou, Youshi Meng, Ying Liu, Donghua Zou

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Chongdong JianDepartment of Neurology, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Lei WeiDepartment of Neurology, The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, China.
Ruikang MoDepartment of Neurology, The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, China.
Rongjie LiDepartment of Neurology, The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, China.
Lucong LiangDepartment of Neurology, The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, China.
Liechun ChenDepartment of Neurology, The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, China.
Chun ZouDepartment of Neurology, The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, China.
Youshi MengDepartment of Neurology, The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, China.
Ying LiuDepartment of General Medicine, The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, China.
Donghua ZouDepartment of Neurology, The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, China.
Guangxi Medical University · CNAffiliated Hospital of Youjiang Medical University for Nationalities · CNFirst People's Hospital of Nanning · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is a common neurodegenerative disease. Its onset is insidious and its progression is slow, making diagnosis difficult. In addition, its underlying molecular and cellular mechanisms remain unclear. In this study, clustering analysis was performed on single-cell RNA sequencing (scRNA-seq) data from the prefrontal cortex of 48 AD patients. Each sample module was identified to be a specific AD cell type, eight main brain cell types were identified, and the dysfunctional evolution of each cell type was further explored by pseudo-time analysis. Correlation analysis was then used to explore the relationship between AD cell types and pathological characteristics. In particular, intercellular communication between neurons and glial cells in AD patients was investigated by cell communication analysis. In patients, neuronal cells and glial cells significantly correlated with pathological features, and glial cells appear to play a key role in the development of AD through ligand-receptor axis communication. Marker genes involved in communication between these two cell types were identified using five types of modeling: logistic regression, multivariate logistic regression, least absolute shrinkage and selection operator (LASSO) and support vector machine (SVM). LASSO modeling identified CXCR4, EGFR, MAP4K4, and IGF1R as key genes in this communication. Our results support the idea that microglia play a role in the occurrence and development of AD through ligand-receptor axis communication. In particular, our analyses identify CXCR4, EGFR, MAP4K4, and IGF1R as potential biomarkers and therapeutic targets in AD.

Indexed as

Alzheimer’s diseaseintercellular communicationLASSOreceptor ligand axissupport vector machine

Identifiers

PMID34616287
PMCPMC8488208
OpenAlexW3201232760

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.