Evidence map›Paper›PMID 37430371›Full record

ReviewJournal of biomedical science2023

Liver in infections: a single-cell and spatial transcriptomics perspective.

Ju Zou, Jie Li, Xiao Zhong, Daolin Tang, Xuegong Fan, Ruochan Chen

Abstract readReview
In one paragraph

Review in Journal of biomedical science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Characterization of Transcriptional, Epigenetic, and Phenotypic Plasticity and Discovery of Biomarkers in Acute and Chronic Murine Schistosomiasis Infection.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Gene Editing for Enhanced Swine Production: Current Advances and Prospects.Animals : an open access journal from MDPI · 2025
    Review
  9. Article
  10. 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

6 authors.

Ju Zou *Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Jie Li *Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Xiao Zhong *Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Daolin TangDepartment of Surgery, UT Southwestern Medical Center, Dallas, TX, USA.
Xuegong FanHunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Ruochan ChenHunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China. 405031@csu.edu.cn.

Funding

Innovation-Driven Project of Central South University 2020CX044the National Natural Sciences Foundation of China 82070613the National Natural Sciences Foundation of Hunan Province 2023JJ10095the science and technology innovation Program of Hunan Province 2022RC1212
6 · The paper itself

Abstract

The liver is an immune organ that plays a vital role in the detection, capture, and clearance of pathogens and foreign antigens that invade the human body. During acute and chronic infections, the liver transforms from a tolerant to an active immune state. The defence mechanism of the liver mainly depends on a complicated network of intrahepatic and translocated immune cells and non-immune cells. Therefore, a comprehensive liver cell atlas in both healthy and diseased states is needed for new therapeutic target development and disease intervention improvement. With the development of high-throughput single-cell technology, we can now decipher heterogeneity, differentiation, and intercellular communication at the single-cell level in sophisticated organs and complicated diseases. In this concise review, we aimed to summarise the advancement of emerging high-throughput single-cell technologies and re-define our understanding of liver function towards infections, including hepatitis B virus, hepatitis C virus, Plasmodium, schistosomiasis, endotoxemia, and corona virus disease 2019 (COVID-19). We also unravel previously unknown pathogenic pathways and disease mechanisms for the development of new therapeutic targets. As high-throughput single-cell technologies mature, their integration into spatial transcriptomics, multiomics, and clinical data analysis will aid in patient stratification and in developing effective treatment plans for patients with or without liver injury due to infectious diseases.

Indexed as

COVID-19TranscriptomeGene Expression ProfilingHepatocytesHumansLiverInfectionsLiverSingle-cell technologiesSpatial transcriptome

Identifiers

PMID37430371
PMCPMC10332047

What Socratic 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 Socratic graph.