Evidence map›Paper›PMID 35572136›Full record

ArticleFrontiers in aging neuroscience2022

Platelet Activating Factor Receptor Exaggerates Microglia-Mediated Microenvironment by IL10-STAT3 Signaling: A Novel Potential Biomarker and Target for Diagnosis and Treatment of Alzheimer's Disease.

Junxiu Liu, Linchi Jiao, Xin Zhong, Weifan Yao, Ke Du, Senxu Lu, Yuqiang Wu, Tianxin Ma, Junhui Tong, Mingyue Xu and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 31 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

15 authors at 2 institutions in 1 country.

Junxiu LiuDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Linchi JiaoDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Xin ZhongDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Weifan YaoDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Ke DuDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Senxu LuDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Yuqiang WuDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Tianxin MaDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Junhui TongDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Mingyue XuDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Wenjuan JiangDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Yubao WangLiaoning Medical Diagnosis and Treatment Center, Shenyang, China.
Miao HeDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Wei XinDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Mingyan LiuDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
China Medical University · CNShenyang Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Early diagnosis and effective intervention are the keys to delaying the progression of Alzheimer's Disease (AD). Therefore, we aimed to identify new biomarkers for the early diagnosis of AD through bioinformatic analysis and elucidate the possible underlying mechanisms. Methods and Results: GSE1297, GSE63063, and GSE110226 datasets from the GEO database were used to screen the highly differentially expressed genes. We identified a potential biomarker, Platelet activating factor receptor (PTAFR), significantly upregulated in the brain tissue, peripheral blood, and cerebrospinal fluid of AD patients. Furthermore, PTAFR levels in the plasma and brain tissues of APP/PS1 mice were significantly elevated. Simultaneously, PTAFR could mediate the inflammatory responses to exaggerate the microenvironment, particularly mediated by the microglia through the IL10-STAT3 pathway. In addition, PTAFR was a putative target of anti-AD compounds, including EGCG, donepezil, curcumin, memantine, and Huperzine A. Conclusion: PTAFR was a potential biomarker for early AD diagnosis and treatment which correlated with the microglia-mediated microenvironment. It is an important putative target for the development of a novel strategy for clinical treatment and drug discovery for AD.

Indexed as

Alzheimer’s DiseasebiomarkersmicroenvironmentmicrogliaPTAFR

Identifiers

PMID35572136
PMCPMC9096237
OpenAlexW4285744095

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.