Evidence map›Paper›PMID 35929619›Full record

ArticleCurrent Alzheimer research2022

Human microRNA-4433 (hsa-miR-4443) Targets 18 Genes to be a Risk Factor of Neurodegenerative Diseases.

Xing Ge, Tingting Yao, Chaoran Zhang, Qingqing Wang, Xuxu Wang, Li-Chun Xu

Open access · hybridAbstract read
In one paragraph

Article in Current Alzheimer research, 2022. 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
0.5field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Role and Dysregulation of miRNA in Patients with Parkinson's Disease.International journal of molecular sciences · 2022
    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

6 authors at 2 institutions in 1 country.

Xing GeDepartment of Pathogen Biology and Immunology, Xuzhou Medical University, Xuzhou, Jiangsu 221002, China.
Tingting YaoSchool of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu 221002, China.
Chaoran ZhangSchool of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu 221002, China.
Qingqing WangNephrology Department, Xuzhou Children's Hospital, Xuzhou, Jiangsu 221000, China.
Xuxu WangSchool of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu 221002, China.
Li-Chun XuSchool of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu 221002, China.
Xuzhou Medical College · CNXuzhou Children Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeurodegenerative diseases, such as Alzheimer's disease patients (AD), Huntington's disease (HD) and Parkinson's disease (PD), are common causes of morbidity, mortality, and cognitive impairment in older adults.

objectiveWe aimed to understand the transcriptome characteristics of the cortex of neurodegenerative diseases and to provide an insight into the target genes of differently expressed microRNAs in the occurrence and development of neurodegenerative diseases.

methodsThe Limma package of R software was used to analyze GSE33000, GSE157239, GSE64977 and GSE72962 datasets to identify the differentially expressed genes (DEGs) and microRNAs in the cortex of neurodegenerative diseases. Bioinformatics methods, such as GO enrichment analysis, KEGG enrichment analysis and gene interaction network analysis, were used to explore the biological functions of DEGs. Weighted gene co-expression network analysis (WGCNA) was used to cluster DEGs into modules. RNA22, miRDB, miRNet 2.0 and TargetScan7 databases were performed to predict the target genes of microRNAs.

resultsAmong 310 Alzheimer's disease (AD) patients, 157 Huntington's disease (HD) patients and 157 non-demented control (Con) individuals, 214 co-DEGs were identified. Those co-DEGs were filtered into 2 different interaction network complexes, representing immune-related genes and synapserelated genes. The WGCNA results identified five modules: yellow, blue, green, turquoise, and brown. Most of the co-DEGs were clustered into the turquoise module and blue module, which respectively regulated synapse-related function and immune-related function. In addition, human microRNA-4433 (hsa-miR-4443), which targets 18 co-DEGs, was the only 1 co-up-regulated microRNA identified in the cortex of neurodegenerative diseases.

conclusion214 DEGs and 5 modules regulate the immune-related and synapse-related function of the cortex in neurodegenerative diseases. Hsa-miR-4443 targets 18 co-DEGs and may be a potential molecular mechanism in neurodegenerative diseases' occurrence and development.

Indexed as

Alzheimer DiseaseHuntington DiseaseMicroRNAsNeurodegenerative DiseasesAgedComputational BiologyGene Expression ProfilingGene Regulatory NetworksHumansRisk FactorsMicroRNAsMIRN-4443 microRNA, humanbioinformatics analysisdifferentially expressed genesdifferentially expressed microRNANeurodegenerative diseasesrisk factorweighted gene co-expression network analysis

Identifiers

PMID35929619
PMCPMC9906632
OpenAlexW4289878920

What OpenQuestion holds

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LicenceCC BY-NC
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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.