Evidence map›Paper›PMID 39135698›Full record

ArticleiMeta2024

Cell-type-specific expression analysis of liver transcriptomics with clinical parameters to decipher the cause of intrahepatic inflammation in chronic hepatitis B.

Jun Wang, Qian Li, Yuanwang Qiu, Simo Kitanovski, Chen Wang, Chenxia Zhang, Fahong Li, Xiaoguang Li, Zhenfeng Zhang, Lihua Huang and 4 more

Abstract read
In one paragraph

Article in iMeta, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Advances in Single-Cell Sequencing for Infectious Diseases: Progress and Perspectives.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  5. Unveiling low level viremia in chronic hepatitis B: challenges and new horizons.Frontiers in cellular and infection microbiology · 2025
    Review
  6. Article
  7. Article
  8. 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

14 authors.

Jun WangNational Clinical Research Center for Infectious Diseases The Third People's Hospital of Shenzhen and The Second Affiliated Hospital of Southern University of Science and Technology Shenzhen China.
Qian LiNational Clinical Research Center for Infectious Diseases The Third People's Hospital of Shenzhen and The Second Affiliated Hospital of Southern University of Science and Technology Shenzhen China.
Yuanwang QiuClinical Medical Research Center, The Fifth People's Hospital of Wuxi Jiangnan University Wuxi China.
Simo KitanovskiBioinformatics and Computational Biophysics, Faculty of Biology and Center for Medical Biotechnology (ZMB) University of Duisburg-Essen Essen Germany.
Chen WangNational Clinical Research Center for Infectious Diseases The Third People's Hospital of Shenzhen and The Second Affiliated Hospital of Southern University of Science and Technology Shenzhen China.
Chenxia ZhangClinical Medical Research Center, The Fifth People's Hospital of Wuxi Jiangnan University Wuxi China.
Fahong LiShanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, Department of Infectious Diseases National Medical Center for Infectious Diseases, Shanghai Institute of Infectious Diseases and Biosecurity, Huashan Hospital Fudan University Shanghai China.
Xiaoguang LiClinical Medical Research Center, The Fifth People's Hospital of Wuxi Jiangnan University Wuxi China.
Zhenfeng ZhangSchool of Public Health and Emergency Management Southern University of Science and Technology Shenzhen China.
Lihua HuangClinical Medical Research Center, The Fifth People's Hospital of Wuxi Jiangnan University Wuxi China.
Jiming ZhangShanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, Department of Infectious Diseases National Medical Center for Infectious Diseases, Shanghai Institute of Infectious Diseases and Biosecurity, Huashan Hospital Fudan University Shanghai China.
Daniel HoffmannBioinformatics and Computational Biophysics, Faculty of Biology and Center for Medical Biotechnology (ZMB) University of Duisburg-Essen Essen Germany.
Mengji LuNational Clinical Research Center for Infectious Diseases The Third People's Hospital of Shenzhen and The Second Affiliated Hospital of Southern University of Science and Technology Shenzhen China.
Hongzhou LuNational Clinical Research Center for Infectious Diseases The Third People's Hospital of Shenzhen and The Second Affiliated Hospital of Southern University of Science and Technology Shenzhen China.ORCID https://orcid.org/0000-0002-4278-8815

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Functional cure for chronic hepatitis B (CHB) remains challenging due to the lack of direct intervention methods for hepatic inflammation. Multi-omics research offers a promising approach to understand hepatic inflammation mechanisms in CHB. A Bayesian linear model linked gene expression with clinical parameters, and population-specific expression analysis (PSEA) refined bulk gene expression into specific cell types across different clinical phases. These models were integrated into our analysis of key factors like inflammatory cells, immune activation, T cell exhaustion, chemokines, receptors, and interferon-stimulated genes (ISGs). Validation through multi-immune staining in liver specimens from CHB patients bolstered our findings. In CHB patients, increased gene expression related to immune cell activation and migration was noted. Marker genes of macrophages, T cells, immune-negative regulators, chemokines, and ISGs showed a positive correlation with serum alanine aminotransferase (ALT) levels but not hepatitis B virus DNA levels. The PSEA model confirmed T cells as the source of exhausted regulators, while macrophages primarily contributed to chemokine expression. Upregulated ISGs (

Indexed as

chronic hepatitis Bimmune infiltrationinnate immunitypopulation‐specific expression analysis

Identifiers

PMID39135698
PMCPMC11316924

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Registered trials

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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.