Evidence map›Paper›PMID 38162144›Full record

ArticleJHEP reports : innovation in hepatology2024

Heterogeneity in intrahepatic macrophage populations and druggable target expression in patients with steatotic liver disease-related fibrosis.

Omar A Saldarriaga, Timothy G Wanninger, Esteban Arroyave, Joseph Gosnell, Santhoshi Krishnan, Morgan Oneka, Daniel Bao, Daniel E Millian, Michael L Kueht, Akshata Moghe and 7 more

Open access · goldAbstract read
In one paragraph

Article in JHEP reports : innovation in hepatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.6field-weighted citation impact, top 6% of its field
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

17 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
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  3. Article
  4. Article
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  8. Conjugated bile acid-driven CD14JHEP reports : innovation in hepatology · 2025
    Article
  9. Review
  10. Article
  11. Article
  12. Integrating Molecular Testing With Clinical Criteria and Histopathology Improves Diagnostic Precision in Immune-Mediated Liver Diseases.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2025
    Article
  13. Review
  14. Macrophage heterogeneity in liver fibrosis.Frontiers in immunology · 2025
    Review
  15. Article
  16. Review
  17. 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

17 authors at 3 institutions in 1 country.

Omar A SaldarriagaDepartment of Pathology, University of Texas Medical Branch, Galveston, TX, USA.
Timothy G WanningerDepartment of Microbiology and Immunology, University of Texas Medical Branch, Galveston, TX, USA.
Esteban ArroyaveDepartment of Pathology, University of Texas Medical Branch, Galveston, TX, USA.
Joseph GosnellDepartment of Pathology, University of Texas Medical Branch, Galveston, TX, USA.
Santhoshi KrishnanDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
Morgan OnekaDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
Daniel BaoSchool of Medicine, University of Texas Medical Branch, Galveston, TX, USA.
Daniel E MillianDepartment of Pathology, University of Texas Medical Branch, Galveston, TX, USA.
Michael L KuehtDepartment of Surgery, University of Texas Medical Branch, Galveston, TX, USA.
Akshata MogheDepartment of Internal Medicine, University of Texas Medical Branch, Galveston, TX, USA.
Jingjing JiaoDepartment of Molecular and Cellular Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Jessica I SanchezDepartment of Molecular and Cellular Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Heidi SprattDepartment of Biostatistics and Data Science, University of Texas Medical Branch, Galveston, TX, USA.
Laura BerettaDepartment of Molecular and Cellular Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Arvind RaoDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
Jared K BurksDepartment of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Heather L StevensonDepartment of Pathology, University of Texas Medical Branch, Galveston, TX, USA.
The University of Texas Medical Branch at Galveston · USThe University of Texas MD Anderson Cancer Center · USUniversity of Michigan · US

Funding

ANALYSIS OF INTRAHEPATIC MACROPHAGE PROFILES FOR PREDICTING RISK OF FIBROSIS DEVELOPMENT IN PATIENTS WITH DIFFERENT TYPES OF CHRONIC LIVER DISEASER01DK125730 · NIDDK · UNIVERSITY OF TEXAS MED BR GALVESTON · PI STEVENSON, HEATHER L · 2021 to 2025
$2.5M
Single Cell Spatial Analysis in TissueR50CA243707 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BURKS, JARED KYLE · 2020 to 2024
$1.3M
NCI NIH HHS R50 CA243707NIDDK NIH HHS R01 DK125730
6 · The paper itself

Abstract

Background & Aims: Clinical trials for reducing fibrosis in steatotic liver disease (SLD) have targeted macrophages with variable results. We evaluated intrahepatic macrophages in patients with SLD to determine if activity scores or fibrosis stages influenced phenotypes and expression of druggable targets, such as CCR2 and galectin-3. Methods: Liver biopsies from controls or patients with minimal or advanced fibrosis were subject to gene expression analysis using nCounter to determine differences in macrophage-related genes (n = 30). To investigate variability among individual patients, we compared additional biopsies by staining them with multiplex antibody panels (CD68/CD14/CD16/CD163/Mac387 or CD163/CCR2/galectin-3/Mac387) followed by spectral imaging and spatial analysis. Algorithms that utilize deep learning/artificial intelligence were applied to create cell cluster plots, phenotype profile maps, and to determine levels of protein expression (n = 34). Results: Several genes known to be pro-fibrotic ( Conclusions: Patients with SLD have markedly varied macrophage- and druggable target-related gene and protein expression in their livers. Several patients had relatively high expression, while others were like controls. Overall, patients with more advanced disease had significantly higher expression of CCR2 and galectin-3 at both the gene and protein levels. Impact and implications: Appreciating individual differences within the hepatic microenvironment of patients with SLD may be paramount to developing effective treatments. These results may explain why such a small percentage of patients have responded to macrophage-targeting therapies and provide additional support for precision medicine-guided treatment of chronic liver diseases.

Indexed as

Cardiometabolic risk factorsChemokinesInfiltrating monocytesInflammationMASLDMultispectral imagingNanoString nCounterVisiopharm

Identifiers

PMID38162144
PMCPMC10757256
OpenAlexW4388304305

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.