Evidence map›Paper›PMID 36123690›Full record

ArticleBMC medical genomics2022

Exploring the biological function of immune cell-related genes in human immunodeficiency virus (HIV)-1 infection based on weighted gene co-expression network analysis (WGCNA).

Ruojing Bai, Zhen Li, Shiyun Lv, Wei Hua, Lili Dai, Hao Wu

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Demystifying HIV: academic training for undergraduate nursing students.Revista da Escola de Enfermagem da U S P · 2026
    Article
  3. 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.

Ruojing Bai *Beijing Key Laboratory for HIV/AIDS Research, Sino-French Joint Laboratory for Research On Humoral Immune Response to HIV Infection, Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, China.
Zhen Li *Beijing Key Laboratory for HIV/AIDS Research, Sino-French Joint Laboratory for Research On Humoral Immune Response to HIV Infection, Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, China.
Shiyun LvBeijing Key Laboratory for HIV/AIDS Research, Sino-French Joint Laboratory for Research On Humoral Immune Response to HIV Infection, Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, China.
Wei HuaTravel Clinic, Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China.
Lili DaiTravel Clinic, Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China. lilydaier@ccmu.edu.cn.
Hao WuBeijing Key Laboratory for HIV/AIDS Research, Sino-French Joint Laboratory for Research On Humoral Immune Response to HIV Infection, Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, China. whdoc@ccmu.edu.cn.
Capital Medical University · CNBeijing YouAn Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcquired immunodeficiency syndrome (AIDS) is a chronic infectious disease characterized by consistent immune dysfunction. The objective of this study is to determine whether immune cell-related genes can be used as biomarkers for the occurrence of AIDS and potential molecular mechanisms.

methodsA weighted gene co-expression network analysis was performed using the GSE6740 dataset from the Gene Expression Synthesis Database to identify the Hub gene, which contained microarray data from HIV-1 positive (HIV-1

resultsMEdarkgreen exhibited the strongest correlation with HIV clinical features of any of these modules. As the best model for diagnosing HIV-1

conclusionWe screened four immune cell-related genes, ARRB1, DPEP2, LTBP3, and RGCC, which may be considered as the diagnostic markers for HIV-1/AIDS. Our findings reveal that immune related genes and pathways involved in HIV-1 pathogenesis were regulated on both genetic and epigenetic levels by constructing a ceRNA network associated with lncRNA.

Indexed as

Acquired Immunodeficiency SyndromeHIV InfectionsMicroRNAsRNA, Long NoncodingBiomarkersHIVHumansProspective StudiesBiomarkersMicroRNAsRNA, Long NoncodingAIDSceRNA networkGene co-expression network analysisHIV-1

Identifiers

PMID36123690
PMCPMC9484082
OpenAlexW4296365435

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.