Evidence map›Paper›PMID 42039185›Full record

ArticleFrontiers in immunology2026

Dynamic immune landscape of NAFLD highlights pDCs as predictive biomarkers for disease progression.

Guozhen Huang, Siyi Xing, Zhaojun Long, Wei Gao, Shaolei Kuang, Mingjiang Liu, Yan Zou, Chenyi Zhuo, Xiaofeng Dong

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Guozhen Huang *Department of Hepatobiliary, Pancreas and Spleen Surgery, The People's Hospital of Guangxi Zhuang Autonomous Region (Guangxi Academy of Medical Sciences), Nanning, China.
Siyi Xing *School of Life Science, Hubei University, Wuhan, Hubei, China.
Zhaojun Long *Ultrasound Medicine Department, Jiangbin Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Wei GaoGuangxi Key Laboratory of Immunology and Metabolism for Liver Diseases, Guangxi Medical University, Nanning, China.
Shaolei KuangDepartment of Hepatobiliary, Pancreas and Spleen Surgery, The People's Hospital of Guangxi Zhuang Autonomous Region (Guangxi Academy of Medical Sciences), Nanning, China.
Mingjiang LiuGuangxi Key Laboratory of Immunology and Metabolism for Liver Diseases, Guangxi Medical University, Nanning, China.
Yan ZouDepartment of Hepatobiliary, Pancreas and Spleen Surgery, The People's Hospital of Guangxi Zhuang Autonomous Region (Guangxi Academy of Medical Sciences), Nanning, China.
Chenyi ZhuoGuangxi Key Laboratory of Immunology and Metabolism for Liver Diseases, Guangxi Medical University, Nanning, China.
Xiaofeng DongDepartment of Hepatobiliary, Pancreas and Spleen Surgery, The People's Hospital of Guangxi Zhuang Autonomous Region (Guangxi Academy of Medical Sciences), Nanning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Non-alcoholic fatty liver disease (NAFLD) is associated with profound alterations in the hepatic immune microenvironment; however, a comprehensive understanding of immune cell dynamics across disease stages remains limited. Methods: We performed an integrative reanalysis of publicly available single-cell transcriptomic datasets from the GEO database, encompassing human liver samples spanning the NAFLD continuum. Candidate immune signatures were validated in independent human cohorts and experimentally induced murine NASH models. A diagnostic classifier leveraging pDC associated gene profiles was developed and rigorously evaluated across multiple validation cohorts. Results: Analysis revealed extensive stage-dependent remodeling of hepatic immune composition, with pDCs exhibiting the most pronounced transcriptional and numerical shifts. Specifically, a unique pDC subset coexpressing GZMB and TPM2 was significantly enriched in human NASH samples. This signature was consistently recapitulated in independent human datasets and murine NASH models. The pDC-derived diagnostic model demonstrated robust performance for NASH identification across all validation cohorts. Conclusion: GZMB

Indexed as

Dendritic CellsNon-alcoholic Fatty Liver DiseaseAnimalsBiomarkersDisease Models, AnimalDisease ProgressionGene Expression ProfilingHumansLiverMiceTranscriptomeTropomyosinBiomarkersTropomyosindiagnostic markersimmune landscapemachine learningNAFLDpDCs

Identifiers

PMID42039185
PMCPMC13105974

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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.