Evidence map›Paper›PMID 35822054›Full record

ArticleFrontiers in aging2021

Gene Expression Analysis Reveals Age and Ethnicity Signatures Between Young and Old Adults in Human PBMC.

Yang Hu, Yudai Xu, Lipeng Mao, Wen Lei, Jian Xiang, Lijuan Gao, Junxing Jiang, Li An Huang, Oscar Junhong Luo, Jinhai Duan and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Age-related changes of human brain metabolism.European journal of nuclear medicine and molecular imaging · 2025
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  8. Reliable Hallmarks and Biomarkers of Senescent Lymphocytes.International journal of molecular sciences · 2023
    Review
  9. 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

11 authors at 4 institutions in 1 country.

Yang HuInstitute of Geriatric Immunology, Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, China.
Yudai XuInstitute of Geriatric Immunology, Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, China.
Lipeng MaoInstitute of Geriatric Immunology, Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, China.
Wen LeiInstitute of Geriatric Immunology, Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, China.
Jian XiangInstitute of Geriatric Immunology, Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, China.
Lijuan GaoInstitute of Geriatric Immunology, Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, China.
Junxing JiangNanfang Hospital, Southern Medical University, Guangzhou, China.
Li An HuangDepartment of Neurology, the First Affiliated Hospital, Jinan University, Guangzhou, China.
Oscar Junhong LuoInstitute of Geriatric Immunology, Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, China.
Jinhai DuanEastern Department of Neurology of Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guandong, China.
Guobing ChenInstitute of Geriatric Immunology, Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, China.
Jinan University · CNFirst Affiliated Hospital of Jinan University · CNGuangdong General Hospital · CNNanfang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human immune system functions over an entire lifetime, yet how and why the immune system becomes less effective with age are not well understood. Here, we characterize peripheral blood mononuclear cell transcriptome from 132 healthy adults with 21-90 years of age using the weighted gene correlation network analyses. In our study, 113 Caucasian from the 10KIP database and RNA-seq data of 19 Asian (Chinese) are used to explore the differential co-expression genes in PBMC aging. These two dataset reveal a set of insightful gene expression modules and representative gene biomarkers for human immune system aging from Asian and Caucasian ancestry, respectively. Among them, the aging-specific modules may show an age-related gene expression variation spike around early-seventies. In addition, we find the top hub genes including NUDT7, CLPB, OXNAD1, and MLLT3 are shared between Asian and Caucasian aging related modules and further validated in human PBMCs from different age groups. Overall, the impact of age and race on transcriptional variation elucidated from this study may provide insights into the transcriptional driver of immune aging.

Indexed as

biomarkersimmune agingPBMCrace and ethnicityWGCNA

Identifiers

PMID35822054
PMCPMC9261324
OpenAlexW4225755148

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.