Evidence map›Paper›PMID 41811176›Full record

ArticleFASEB journal : official publication of the Federation of American Societies for Experimental Biology2026

Single Cell Analysis Reveals the Presence of Novel Intermediate Cells in Both Mice and Patients With Severe MASLD.

Marica Meroni, Paride Pelucchi, Erika Paolini, Miriam Longo, Ada Sula, Michele Battistin, Alice Chiodi, Deborah Mattinzoli, Masami Ikehata, Elena Trombetta and 9 more

Abstract read
In one paragraph

Article in FASEB journal : official publication of the Federation of American Societies for Experimental Biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

19 authors.

Marica MeroniMedicine and Metabolic Diseases, Fondazione IRCCS Cà Granda, Ospedale Maggiore Policlinico, Milan, Italy.ORCID https://orcid.org/0000-0002-4161-4178
Paride PelucchiInstitute of Biomedical Technologies, National Research Council of Italy, Milan, Italy.
Erika PaoliniMedicine and Metabolic Diseases, Fondazione IRCCS Cà Granda, Ospedale Maggiore Policlinico, Milan, Italy.
Miriam LongoMedicine and Metabolic Diseases, Fondazione IRCCS Cà Granda, Ospedale Maggiore Policlinico, Milan, Italy.
Ada SulaInstitute of Biomedical Technologies, National Research Council of Italy, Milan, Italy.
Michele BattistinCenter for Preclinical Research, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Alice ChiodiInstitute of Biomedical Technologies, National Research Council of Italy, Milan, Italy.
Deborah MattinzoliRenal Research Laboratory, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Masami IkehataRenal Research Laboratory, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Elena TrombettaFlow Cytometry Service, Clinical Pathology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Daniele DondossolaDepartment of Pathophysiology and Transplantation, Università Degli Studi di Milano, Milan, Italy.
Alessandra MezzelaniInstitute of Biomedical Technologies, National Research Council of Italy, Milan, Italy.
Gianluca Martino TartagliaDepartment of Biomedical, Surgical and Dental Sciences, Università Degli Studi di Milano, Milan, Italy.
Giuseppe CastellanoRenal Research Laboratory, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.ORCID https://orcid.org/0000-0002-0153-3795
Anna Ludovica FracanzaniMedicine and Metabolic Diseases, Fondazione IRCCS Cà Granda, Ospedale Maggiore Policlinico, Milan, Italy.
Flora PeyvandiDepartment of Pathophysiology and Transplantation, Università Degli Studi di Milano, Milan, Italy.
Stefano GattiCenter for Preclinical Research, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Ettore MoscaInstitute of Biomedical Technologies, National Research Council of Italy, Milan, Italy.
Paola DongiovanniMedicine and Metabolic Diseases, Fondazione IRCCS Cà Granda, Ospedale Maggiore Policlinico, Milan, Italy.ORCID https://orcid.org/0000-0003-4343-7213

Funding

Dipartimenti di EccellenzaMinistero della Salute (Italy Ministry of Health) GR-2019-12370172Ministero della Salute (Italy Ministry of Health) PNC-E3-2022-23683266Ministero della Salute (Italy Ministry of Health) PNRR-MCNT2-2023-12378295Ministero della Salute (Italy Ministry of Health) RF-2021-12374481Ministry of Education 80185250588
6 · The paper itself

Abstract

The landscape of cellular abnormalities occurring during metabolic dysfunction-associated steatotic liver disease (MASLD) is not completely clarified. We investigated cell heterogeneity involved in progressive MASLD at single cell resolution in mice fed AMLN. Single cell RNA sequencing (Sc-RNAseq) and spatial proteomics were applied to decipher cell populations and genes/pathways guiding MASLD progression. We identified 32 clusters, including hepatocytes (HEPs), hepatic stellate cells (HSCs), endothelial cells (ENDOs), Kupffer cells (KCs), and immune cells. HEPs clusters changed across disease severity, acquiring a periportal localization in MASH-fibrosis. The latter conditions were featured by ENDO clusters with higher expression of extracellular matrix (ECM) molecules, resident and recruited KCs/immune clusters with M1 polarization and HSCs with a myofibroblast phenotype. Finally, we highlight 5 hybrid populations named HSCs/ENDOs, HEPs/ENDOs, KCs/ENDOs, and HEPs/KCs which were confirmed by spatial proteomics across disease stages in mice and MASLD patients. In sum, we observed an evolution of cellular heterogeneity during MASLD and identified novel intermediate populations that feature advanced disease.

Indexed as

Fatty LiverHepatic Stellate CellsHepatocytesSingle-Cell AnalysisAnimalsEndothelial CellsHumansKupffer CellsLiverMaleMiceMice, Inbred C57BLProteomicsSingle-Cell Gene Expression Analysisintermediate populationMASLDSc‐RNAseqspatial omics

Identifiers

PMID41811176
PMCPMC12978213

What Socratic 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 Socratic graph.