Evidence map›Paper›PMID 37756380›Full record

ArticleScience translational medicine2023

Secreted folate receptor γ drives fibrogenesis in metabolic dysfunction-associated steatohepatitis by amplifying TGFβ signaling in hepatic stellate cells.

Connor Quinn, Mario C Rico, Carmen Merali, Carlos A Barrero, Oscar Perez-Leal, Victoria Mischley, John Karanicolas, Scott L Friedman, Salim Merali

Open access · greenAbstract read
In one paragraph

Article in Science translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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  10. Review
  11. Folate receptor-γ in MASH-related fibrosis.Nature reviews. Gastroenterology & hepatology · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Connor QuinnTemple University School of Pharmacy, Philadelphia, PA 19140 USA.ORCID 0009-0005-6916-5641
Mario C RicoTemple University School of Pharmacy, Philadelphia, PA 19140 USA.ORCID 0000-0002-1356-0416
Carmen MeraliTemple University School of Pharmacy, Philadelphia, PA 19140 USA.ORCID 0000-0003-4679-710X
Carlos A BarreroTemple University School of Pharmacy, Philadelphia, PA 19140 USA.ORCID 0000-0001-5779-6642
Oscar Perez-LealTemple University School of Pharmacy, Philadelphia, PA 19140 USA.ORCID 0000-0002-5641-0311
Victoria MischleyMolecular Therapeutics Program, Fox Chase Cancer Center, Philadelphia, PA 19111, USA.ORCID 0000-0003-4225-6891
John KaranicolasTemple University School of Pharmacy, Philadelphia, PA 19140 USA.ORCID 0000-0003-0300-726X
Scott L FriedmanDivision of Liver Diseases, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0003-1178-6195
Salim MeraliTemple University School of Pharmacy, Philadelphia, PA 19140 USA.ORCID 0000-0002-0280-5289
Temple University · USFox Chase Cancer Center · USIcahn School of Medicine at Mount Sinai · US

Funding

WORD PROCESSING CENTER--COREP30CA006927 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI Eric Andrew Ross · 1985 to 2026
$138.8M
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
Hepatic stellate cells in NASH fibrosis and HCCR01DK128289 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SCOTT L. FRIEDMAN · 2021 to 2026
$2.6M
Mannose metabolism as a regulator of hepatic stellate cell activation and fibrosisR01DK121154 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CHU, JAIME C · 2020 to 2024
$2.3M
CRISPR-based genome tagging of iPS Cells for stain-free multicolor live cell analysisR21HG012241 · NHGRI · TEMPLE UNIV OF THE COMMONWEALTH · PI PEREZ, OSCAR · 2022 to 2024
$594k
Novel 5-HT7 Antagonists for the Treatment of PruritusR43AR081768 · NIAMS · PRAEVENTIX, LLC · PI BARRERO, CARLOS A, CANNEY, DANIEL J · 2022 to 2022
$276k
NCI NIH HHS P30 CA006927NCI NIH HHS P30 CA196521NHGRI NIH HHS R21 HG012241NIAMS NIH HHS R43 AR081768NIDDK NIH HHS R01 DK121154NIDDK NIH HHS R01 DK128289
6 · The paper itself

Abstract

Hepatic fibrosis is the primary determinant of mortality in patients with metabolic dysfunction-associated steatohepatitis (MASH). Transforming growth factor-β (TGFβ), a master profibrogenic cytokine, is a promising therapeutic target that has not yet been translated into an effective therapy in part because of liabilities associated with systemic TGFβ antagonism. We have identified that soluble folate receptor γ (FOLR3), which is expressed in humans but not in rodents, is a secreted protein that is elevated in the livers of patients with MASH but not in those with metabolic dysfunction-associated steatotic liver disease, those with type II diabetes, or healthy individuals. Global proteomics showed that FOLR3 was the most highly significant MASH-specific protein and was positively correlated with increasing fibrosis stage, consistent with stimulation of activated hepatic stellate cells (HSCs), which are the key fibrogenic cells in the liver. Exposure of HSCs to exogenous FOLR3 led to elevated extracellular matrix (ECM) protein production, an effect synergistically potentiated by TGFβ1. We found that FOLR3 interacts with the serine protease HTRA1, a known regulator of TGFBR, and activates TGFβ signaling. Administration of human FOLR3 to mice induced severe bridging fibrosis and an ECM pattern resembling human MASH. Our study thus uncovers a role of FOLR3 in enhancing fibrosis.

Indexed as

Diabetes Mellitus, Type 2Fatty LiverAnimalsFolic AcidHepatic Stellate CellsHumansMiceTransforming Growth Factor betaFolic AcidTransforming Growth Factor beta

Identifiers

PMID37756380
PMCPMC11816833
OpenAlexW4387091677

What OpenQuestion holds

Textmetadata
LicenceTDM
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.