Evidence map›Paper›PMID 38508241›Full record

ArticleJournal of hepatology2024

Phenotypes and ontogeny of senescent hepatic stellate cells in metabolic dysfunction-associated steatohepatitis.

Chittampalli N Yashaswini, Tianyue Qin, Dipankar Bhattacharya, Corina Amor, Scott Lowe, Amaia Lujambio, Shuang Wang, Scott L Friedman

Abstract read
In one paragraph

Article in Journal of hepatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. Article
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  9. Mechanisms and therapeutic insights into MASH-associated fibrosis.Trends in endocrinology and metabolism: TEM · 2026
    Review
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  11. Article
  12. Article
  13. Article
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  15. Integrating senotherapeutics into transplantation: liver reconditioning in an aging donor pool.Transplant international : official journal of the European Society for Organ Transplantation · 2026
    Review
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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

8 authors.

Chittampalli N YashaswiniDivision of Liver Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States; The Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Medical Scientist Training Program, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Tianyue QinDivision of Liver Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Dipankar BhattacharyaDivision of Liver Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Corina AmorCold Spring Harbor Laboratory. Cold Spring Harbor, NY, United States.
Scott LoweCancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, United States; Howard Hughes Medical Institute, Chevy Chase, MD, United States.
Amaia LujambioDivision of Liver Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Shuang WangDivision of Liver Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Scott L FriedmanDivision of Liver Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States. Electronic address: Scott.Friedman@mssm.edu.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Single-Cell Biology Shared ResourceP30CA045508 · NCI · COLD SPRING HARBOR LABORATORY · PI John Edward Moses · 1987 to 2026
$118.9M
Conduits: Mount Sinai Health System Translational Science HubUL1TR004419 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Rosalind J Wright · 2022 to 2026
$46.4M
THE TISCH CANCER INSTITUTE - CANCER CENTER SUPPORT GRANTP30CA196521 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Ramon E Parsons · 2015 to 2026
$35.4M
The Role of Focal Oncogene Amplifications in Lung CancerP01CA129243 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Andrea Ventura · 2007 to 2026
$31.2M
MOUNT SINAI MEDICAL SCIENTIST TRAINING PROGRAMT32GM007280 · NIGMS · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI BARON, MARGARET H · 1985 to 2021
$22.8M
The Memorial Sloan Kettering Cancer Center SPORE in LeukemiaP50CA254838 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Eytan Stein · 2021 to 2026
$16.8M
TRAINING PROGRAM IN CANCER THERAPYT32CA078207 · NCI · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI James J Manfredi · 1999 to 2026
$11.6M
Mount Sinai Medical Scientist Training ProgramT32GM146636 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Talia H Swartz · 2022 to 2026
$6.8M
The Role of KLF6 in Hepatic FibrosisR01DK056621 · NIDDK · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI FRIEDMAN, SCOTT L. · 2000 to 2019
$6.2M
AN INTEGRATED PLATFORM FOR NOVEL PERSONALIZED LIVER CANCER THERAPEUTICSR01CA256480 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DAR, ARVIN, GUCCIONE, ERNESTO · 2021 to 2025
$3.3M
Targeting tumor metabolism and immune environment via beta-catenin: Towards precision medicine in HCCR01CA251155 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LUJAMBIO, AMAIA, MONGA, SATDARSHAN SINGH · 2020 to 2024
$3.1M
NCATS NIH HHS UL1 TR004419NCI NIH HHS P01 CA129243NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA045508NCI NIH HHS P30 CA196521NCI NIH HHS P50 CA254838NCI NIH HHS R01 CA233944NCI NIH HHS R01 CA251155NCI NIH HHS R01 CA256480NCI NIH HHS R01 CA283378NCI NIH HHS R33 CA267221NCI NIH HHS R37 CA230636NCI NIH HHS T32 CA078207NIA NIH HHS R01 AG065396NIA NIH HHS U01 AG077921NIDDK NIH HHS R01 DK056621NIDDK NIH HHS R01 DK121154NIDDK NIH HHS R01 DK128289NIDDK NIH HHS R01 DK136016NIGMS NIH HHS T32 GM007280NIGMS NIH HHS T32 GM146636NIH HHS DP5 OD033055NIH HHS S10 OD026880NIH HHS S10 OD030463
6 · The paper itself

Abstract

BACKGROUND &

aimsHepatic stellate cells (HSCs) are the key drivers of fibrosis in metabolic dysfunction-associated steatohepatitis (MASH), the fastest growing cause of hepatocellular carcinoma (HCC) worldwide. HSCs are heterogenous, and a senescent subset of HSCs is implicated in hepatic fibrosis and HCC. Administration of anti-uPAR (urokinase-type plasminogen activator receptor) CAR T cells has been shown to deplete senescent HSCs and attenuate fibrosis in murine models. However, the comprehensive features of senescent HSCs in MASH, as well as their cellular ontogeny have not been characterized; hence, we aimed to comprehensively characterize and define the origin of HSCs in human and murine MASH.

methodsTo comprehensively characterize the phenotype and ontogeny of senescent HSCs in human and murine MASH, we integrated senescence-associated beta galactosidase activity with immunostaining, flow cytometry and single-nucleus RNA sequencing (snRNAseq). We integrated the immunohistochemical profile with a senescence score applied to snRNAseq data to characterize senescent HSCs and mapped the evolution of uPAR expression in MASH.

resultsUsing pseudotime trajectory analysis, we establish that senescent HSCs arise from activated HSCs. While uPAR is expressed in MASH, the magnitude and cell-specificity of its expression evolve with disease stage. In early disease, uPAR is more specific to activated and senescent HSCs, while it is also expressed by myeloid-lineage cells, including Trem2

conclusionsThese data define features of HSC senescence in human and murine MASH, establishing an important blueprint to target these cells as part of future antifibrotic therapies. IMPACT AND IMPLICATIONS: Hepatic stellate cells (HSCs) are the primary drivers of scarring in chronic liver diseases. As injury develops, a subset of HSCs become senescent; these cells are non-proliferative and pro-inflammatory, thereby contributing to worsening liver injury. Here we show that senescent HSCs are expanded in MASH (metabolic dysfunction-associated steatohepatitis) in humans and mice, and we trace their cellular origin from the activated HSC subset. We further characterize expression of uPAR (urokinase plasminogen activated receptor), a protein that marks senescent HSCs, and report that uPAR is also expressed by activated HSCs in early injury, and in immune cells as liver injury advances. We have integrated high-resolution single-nucleus RNA sequencing with immunostaining and flow cytometry to identify five other novel proteins expressed by senescent HSCs, including mannose receptor CD206, which will facilitate future therapeutic development.

Indexed as

Cellular SenescenceHepatic Stellate CellsPhenotypeAnimalsDisease Models, AnimalFatty LiverHumansLiver CirrhosisMaleMiceMice, Inbred C57BLReceptors, Urokinase Plasminogen ActivatorReceptors, Urokinase Plasminogen ActivatorCD206hepatic stellate cellsmetabolic dysfunction-associated steatohepatitissenescencesenolyticuPAR

Identifiers

PMID38508241
PMCPMC11269047

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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.