Evidence map›Paper›PMID 38190023›Full record

ArticleMolecular neurobiology2024

Integrative Analysis of the Age-Related Dysregulated Genes Reveals an Inflammation and Immunity-Associated Regulatory Network in Alzheimer's Disease.

Zhuoze Wu, Lei Dong, Zhixiao Tian, Chenhui Yu, Qingrong Shu, Wei Chen, Hao Li

Abstract read
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In one paragraph

Article in Molecular neurobiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. The plasma miRNAome in ADNI: Signatures to aid the detection of at-risk individuals.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
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

7 authors at 2 institutions in 1 country.

Zhuoze WuInstitute of Basic Medicine and Forensic Medicine, North Sichuan Medical College, Nanchong, 637100, China.
Lei DongSchool of Medical Imaging, North Sichuan Medical College, Nanchong, 637100, China.
Zhixiao TianSchool of Medical Imaging, North Sichuan Medical College, Nanchong, 637100, China.
Chenhui YuSchool of Medical Imaging, North Sichuan Medical College, Nanchong, 637100, China.
Qingrong ShuSchool of Medical Imaging, North Sichuan Medical College, Nanchong, 637100, China.
Wei ChenInstitute of Basic Medicine and Forensic Medicine, North Sichuan Medical College, Nanchong, 637100, China.
Hao LiDepartment of Pathophysiology, School of Basic Medicine and Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. lihaochn@hust.edu.cn.ORCID http://orcid.org/0000-0003-3559-8965
North Sichuan Medical University · CNHuazhong University of Science and Technology · CN

Funding

Cooperation Project of Nanchong Science and Technology 22SXZRKX0016National Natural Science Foundation of China 32200795Natural Science Foundation of Hubei Province 2022CFB608Research Development Fund of North Sichuan Medical College CBY21-QD24Sichuan Province Science and Technology Support Program 2022NSFSC1472
6 · The paper itself

Abstract

Alzheimer's disease (AD) is a neurodegenerative disease with a long incubation period. While extensive research has led to the construction of long non-coding RNA (lncRNA)-associated competing endogenous RNA (ceRNA) regulatory networks, which primarily derived from differential analyses between clinical AD patients and control individuals or mice, there remains a critical knowledge gap pertaining to the dynamic alterations in transcript expression profiles that occur with age, spanning from the pre-symptomatic stage to the onset of AD. In the present study, we examined the transcriptomic changes in AD model mice at three distinct stages: the unaffected (un-) stage, the pre-onset stage, and the late-onset stage, and identified 14, 57, and 99 differentially expressed mRNAs (DEmRs) in AD model mice at 3, 6, and 12 months, respectively. Among these, we pinpointed 16 mRNAs closely associated with inflammation and immunity and excavated their lncRNA-mRNA regulatory network based on a comprehensive analysis. Notably, our preliminary analysis suggested that four lncRNAs (NONMMUT102943, ENSMUST00000160309, NONMMUT083044, and NONMMUT126468), eight miRNAs (miR-34a-5p, miR-22-5p, miR-302a/b-3p, miR-340-5p, miR-376a/b-5p, and miR-487b-5p), and four mRNAs (C1qa, Cd68, Ctss, and Slc11a1) may play pivotal roles in orchestrating immune and inflammatory responses during the early stages of AD. Our study has unveiled age-related AD risk genes, and provided an analytical framework for constructing lncRNA-mRNA networks using time series data and correlation analysis. Most notably, we have successfully constructed a comprehensive regulatory ceRNA network comprising genes intricately linked to inflammatory and immune functions in AD.

Indexed as

AgingAlzheimer DiseaseGene Regulatory NetworksInflammationMicroRNAsRNA, Long NoncodingRNA, MessengerAnimalsGene Expression ProfilingGene Expression RegulationHumansImmunityMiceMice, TransgenicMicroRNAsRNA, Long NoncodingRNA, MessengerAlzheimer’s diseaseDifferently expressed genesInflammation and immunitylncRNARegulatory network construct

Identifiers

PMID38190023
OpenAlexW4390670739

What Socratic holds

Textmetadata
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 Socratic graph.