Evidence map›Paper›PMID 35428200›Full record

ArticleBMC cardiovascular disorders2022

MicroRNA profile of circulating CD4

Siwen Wang, Suiting Jiang, Ruijia Feng, Jiawei Liu, Longshan Liu, Jin Cui, Yi Shi, Junjie Ning, Benyuan Jia, Zuojun Hu and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC cardiovascular disorders, 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
0.3field-weighted citation impact, top 51% 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, 3 citations in OpenAlex.

  1. Article
  2. γδ T cells: origin and fate, subsets, diseases and immunotherapy.Signal transduction and targeted therapy · 2023
    Review
  3. MicroRNA and Hemostasis Profile of Carotid Atherosclerosis.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

11 authors at 2 institutions in 1 country.

Siwen Wang *Division of Vascular Surgery, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan 2nd Road, Yuexiu District, Guangzhou, 510080, Guangdong, China.
Suiting Jiang *Guangdong Engineering Laboratory for Diagnosis and Treatment of Vascular Diseases, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China.
Ruijia Feng *The 8-Year Program, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China.
Jiawei LiuGuangdong Engineering Laboratory for Diagnosis and Treatment of Vascular Diseases, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China.
Longshan LiuOrgan Transplant Center, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China.
Jin CuiDivision of Vascular Surgery, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan 2nd Road, Yuexiu District, Guangzhou, 510080, Guangdong, China.
Yi ShiDivision of Vascular Surgery, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan 2nd Road, Yuexiu District, Guangzhou, 510080, Guangdong, China.
Junjie NingDivision of Vascular Surgery, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan 2nd Road, Yuexiu District, Guangzhou, 510080, Guangdong, China.
Benyuan JiaDivision of Vascular Surgery, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan 2nd Road, Yuexiu District, Guangzhou, 510080, Guangdong, China.
Zuojun HuDivision of Vascular Surgery, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan 2nd Road, Yuexiu District, Guangzhou, 510080, Guangdong, China. huzuojun@mail.sysu.edu.cn.
Shenming WangDivision of Vascular Surgery, The First Affiliated Hospital, Sun Yat-Sen University, No.58, Zhongshan 2nd Road, Yuexiu District, Guangzhou, 510080, Guangdong, China. shenming_wang@126.com.
Sun Yat-sen University · CNThe First Affiliated Hospital, Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo evaluate the specificity of the expression patterns of microRNAs (miRNAs) in circulating CD4

methodsA comprehensive miRNA expression study was conducted using a miRNA microarray of CD4

resultsWe identified 44 miRNAs based on a cutoff value of a 1.3-fold change in expression between the two groups, with 18 miRNAs showing a false discovery rate (FDR) p value < 0.05. The qRT-PCR analysis validated differences in 12 miRNAs, and 6 miRNAs were proven to be differentially expressed among three age groups (age: 35-55 years; 56-75 years; 76-95 years): the miRNAs miR-21 (p: 0.0008; 0.0009; 0.0022), miR-29b (p: 0.453; < 0.0001; < 0.0001), and miR-374b (p: < 0.0001; < 0.0001; 0.2493) showed upregulated expression in patients with ASO, while miR-142-3p (p: < 0.0001; < 0.0001; < 0.0001), miR-142-5p (p: < 0.0001; < 0.0001; < 0.0001), and miR-150 (p: < 0.0001; < 0.0001; 0.0001) showed downregulated expression in patients with ASO. The validated miRNAs participated in CD4

conclusionsCirculating CD4

Indexed as

AtherosclerosisMicroRNAsAdultAgedCD4-Positive T-LymphocytesGene Expression ProfilingHumansLeukocytes, MononuclearMiddle AgedT-LymphocytesMicroRNAsAtherosclerosisAtherosclerosis obliteransCirculating CD4+ T cellsMicroRNAsMolecular signature

Identifiers

PMID35428200
PMCPMC9013077
OpenAlexW4223949038

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.