Evidence map›Paper›PMID 32269721›Full record

ArticleAmerican journal of translational research2020

CD19

Qiannan Fang, Yanan Deng, Rongzhen Liang, Yongyu Mei, Zhaoxia Hu, Julie Wang, Jianbo Sun, Xiaohong Zhang, Joseph A Bellanti, Song Guo Zheng

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
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

10 authors at 4 institutions in 2 countries.

Qiannan FangDepartment of Clinical Immunology, The Third Affiliated Hospital of Sun Yat-Sen University Guangzhou 510060, Guangdong, China.
Yanan DengDepartment of Clinical Immunology, The Third Affiliated Hospital of Sun Yat-Sen University Guangzhou 510060, Guangdong, China.
Rongzhen LiangDepartment of Clinical Immunology, The Third Affiliated Hospital of Sun Yat-Sen University Guangzhou 510060, Guangdong, China.
Yongyu MeiDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University Guangzhou 510060, Guangdong, China.
Zhaoxia HuDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University Guangzhou 510060, Guangdong, China.
Julie WangDepartment of Internal Medicine, Ohio State University College of Medicine and Wexner Medical Center Columbus, OH 43210, United States.
Jianbo SunGuanghua School of Stomatology, Hospital of Stomatology, Sun Yat-Sen University Guangzhou 510060, Guangdong, China.
Xiaohong ZhangDepartment of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University Guangzhou 510060, Guangdong, China.
Joseph A BellantiDepartment of Pediatrics and Microbiology-Immunology, Georgetown University Medical Center Washington, DC, United States.
Song Guo ZhengDepartment of Internal Medicine, Ohio State University College of Medicine and Wexner Medical Center Columbus, OH 43210, United States.
Sun Yat-sen University · CNThe Ohio State University Wexner Medical Center · USGeorgetown University · USStomatology Hospital · CN

Funding

Therapeutic immunoregulation mediated by TGF-??-induced iTregs in autoimmune arthR01AR059103 · NIAMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JARJOUR, WAEL N · 2010 to 2020
$3.9M
NIAMS NIH HHS R01 AR059103
6 · The paper itself

Abstract

objectivesHepatitis C virus (HCV) infection is associated with abnormal immune responses. Since regulatory T (Tregs) and B (Bregs) cells modulate the progression of infectious diseases, this study aimed at examining how these cells are involved with the development of HCV infection.

methodsThe frequencies of circulating Bregs and Tregs were characterized using flow cytometry. Both the association and dynamic changes of these cells with related clinical parameters were analyzed after Direct-Acting Antiviral (DAA) agent treatments. Additionally, both regulatory B and T and naïve B and T cells were sorted and stimulated with healthy or HCV sera in vitro.

resultsBregs frequency in HCV-infected patients increased significantly and were positively correlated with levels of sera HCV RNA load, Alanine aminotransferase (AST) and total bilirubin (TBILI). Additionally, the increased Bregs returned to normal levels after DAA treatment. However, Tregs increased markedly in patients with HCV-cirrhosis and were significantly associated with Aspartate aminotransferase to Platelet Ratio Index (APRI) and Fibrosis 4 (FIB-4) scores. Furthermore, HCV sera doesn't expand either Tregs or Bregs, however, it does induce the IL-10 expression in B cells although it fails to induce FOXP3 expression in CD4

conclusionsIncreased Bregs not only may be associated with poor viral eradication and liver injury but also may provide a predictive marker of HCV disease therapeutic efficacy following DAA-treatment. HCV sera may selectively induce Bregs. Tregs probably do not control disease status in the early stages but may contribute to the progression of liver fibrosis in the late stages of HCV infection.

Indexed as

DAAHCV infectionRegulatory B cellsregulatory T cells

Identifiers

PMID32269721
PMCPMC7137049
OpenAlexW3026038958

What OpenQuestion 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 OpenQuestion graph.