Evidence map›Paper›PMID 36330414›Full record

ArticleAnnals of translational medicine2022

Exploration of immune infiltration and feature genes in viral hepatitis-associated liver fibrosis using transcriptome data.

Jiali Pan, Yu Tian, Fengling Hu, Jinghang Xu, Ning Tan, Yifan Han, Qian Kang, Hongyu Chen, Yuqing Yang, Xiaoyuan Xu

Abstract read
In one paragraph

Article in Annals of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Jiali Pan *Department of Infectious Diseases, Peking University First Hospital, Beijing, China.
Yu Tian *Department of Gastroenterology, Peking University First Hospital, Beijing, China.
Fengling HuDepartment of Thoracic Surgery, Peking University Third Hospital, Beijing, China.
Jinghang XuDepartment of Infectious Diseases, Peking University First Hospital, Beijing, China.
Ning TanDepartment of Infectious Diseases, Peking University First Hospital, Beijing, China.
Yifan HanDepartment of Infectious Diseases, Peking University First Hospital, Beijing, China.
Qian KangDepartment of Infectious Diseases, Peking University First Hospital, Beijing, China.
Hongyu ChenDepartment of Infectious Diseases, Peking University First Hospital, Beijing, China.
Yuqing YangDepartment of Infectious Diseases, Peking University First Hospital, Beijing, China.
Xiaoyuan XuDepartment of Gastroenterology, Peking University First Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Immune cells play an essential role in virus-induced liver fibrosis. However, the underlying mechanisms remain unclear. In this study, we systematically explored immune cell infiltration and feature genes to provide new insights into viral hepatitis-associated liver fibrosis. Methods: The expression datasets GSE14323, GSE33650, GSE6764 (for testing), and GSE84044 (for validation) were downloaded from the Gene Expression Omnibus (GEO) database. Immune cell infiltration was assessed using the CIBERSORT algorithm, and characteristic subgroups were obtained using least absolute shrinkage and selection operator (LASSO) regression and Wilcoxon test. The association between feature genes and immune-infiltrating cells was explored using Spearman's correlation analysis. R software and IBM SPSS Statistics were utilized for data analysis and visualization. Results: We identified 10 differential immune cells between viral hepatitis-associated liver fibrosis and non-fibrosis, including naive B cells, plasma cells, resting CD4 Conclusions: The six feature genes may be involved in viral hepatitis-associated liver fibrosis by promoting the polarization of macrophages from M0 to M1 and inhibiting their conversion to M2. Thus, these genes may serve as potential therapeutic targets.

Indexed as

immune infiltrationLiver fibrosistranscriptome data

Identifiers

PMID36330414
PMCPMC9622482

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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.