Evidence map›Paper›PMID 40989794›Full record

ArticleMolecular therapy. Nucleic acids2025

Single-cell multi-omics data reveal heterogeneity in liver tissue microenvironment induced by hypertension.

Hongfei Li, Lingyu Cui, Murong Zhou, Quan Zou, Yuming Zhao, Hao Lin, Yingjian Liang, Alfred Wei Chieh Kow, Guohua Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecular therapy. Nucleic acids, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

9 authors.

Hongfei LiYangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou 324003, China.
Lingyu CuiCollege of Computer and Control Engineering, Northeast Forestry University, Harbin 150040, China.
Murong ZhouCollege of Computer and Control Engineering, Northeast Forestry University, Harbin 150040, China.
Quan ZouYangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou 324003, China.
Yuming ZhaoCollege of Computer and Control Engineering, Northeast Forestry University, Harbin 150040, China.
Hao LinSchool of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China.
Yingjian LiangKey Laboratory of Hepatosplenic Surgery, Ministry of Education, Department of General Surgery, the First Affiliated Hospital of Harbin Medical University, Harbin 150007, China.
Alfred Wei Chieh KowDivision of Hepatobiliary & Pancreatic Surgery, Department of Surgery, National University Hospital Singapore, Singapore 119074, Singapore.
Guohua WangCollege of Computer and Control Engineering, Northeast Forestry University, Harbin 150040, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertension (HTN) may induce liver damage; however, the effects on liver cell subpopulations remain obscure. Understanding these microenvironmental changes could offer early HTN and liver disease indicators. We employed single-cell multi-omics and histone chromatin immunoprecipitation sequencing (ChIP-seq) to scrutinize microenvironmental alterations between normal and HTN liver tissues. Our analysis revealed an HTN-related hepatocyte subpopulation, termed "Hepatocytes_1," via single-cell RNA sequencing (scRNA-seq). Five potential pathogenic genes (UPB1, SDS, PCCA, CYP3A4, and PPARGC1A) were identified in Hepatocytes_1. Additionally, the regulatory network of

Indexed as

enhancerhepatocytehypertensionMT: bioinformaticspromotersingle celltranscription factor

Identifiers

PMID40989794
PMCPMC12450633

What OpenQuestion holds

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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.