Cited by 139Liver Disease Diagnosis and TreatmentLiver physiology and pathologyLiver Diseases and Immunity

The bidirectional immune crosstalk in metabolic dysfunction-associated steatotic liver disease

Open access
Sawada, Keisuke, Chung, Hak, Softic, Samir, Moreno-Fernandez, Maria E., Divanovic, Senad·2023·Cell Metabolism

Abstract

Metabolic dysfunction-associated steatotic liver disease (MASLD) is an unabated risk factor for end-stage liver diseases with no available therapies. Dysregulated immune responses are critical culprits of MASLD pathogenesis. Independent contributions from either the innate or adaptive arms of the immune system or their unidirectional interplay are commonly studied in MASLD. However, the bidirectional communication between innate and adaptive immune systems and its impact on MASLD remain insufficiently understood. Given that both innate and adaptive immune cells are indispensable for the development and progression of inflammation in MASLD, elucidating pathogenic contributions stemming from the bidirectional interplay between these two arms holds potential for development of novel therapeutics for MASLD. Here, we review the immune cell types and bidirectional pathways that influence the pathogenesis of MASLD and highlight potential pharmacologic approaches to combat MASLD based on current knowledge of this bidirectional crosstalk.

Integrity signals

Registry

Crossref · 10.1016/j.cmet.2023.10.009

Cites

0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The roles of Tregs in MASLD and MASH remain unclear, with hepatic accumulation and functional relevance varying depending on the disease model.

    “The roles of Tregs in MASLD and MASH remain unclear, with emerging evidence suggesting that their hepatic accumulation and functional relevance may vary depending on the disease model employed (Sawada et al. 2023).”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Sawada, K., Chung, H., Softic, S., Moreno-Fernandez, M. E., & Divanovic, S.
Affiliations
  • Cincinnati Children's Hospital Medical Center (US)
  • University of Kentucky (US)
Corresponding author
Divanovic, Senad
Venue
Cell Metabolism
Publisher
Elsevier BV
Published
2023-11
Volume
35
Issue
11
Pages
1852-1871
ISSN
1550-4131 (ISSN-L)
OpenAlex
W4388452323
Cited by
139
References
316
Citations by year
2026: 56 · 2025: 51 · 2024: 32
FWCI
5.43
Type
journal article
Language
en
Open access
Locations
  • Cell Metabolism (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • American Heart Association (17POST33650045)
  • CCHMC
  • Cincinnati Children’s Research Foundation
  • National Institutes of Health (R01DK099222)
  • U.S. Department of Defense (W81XWH2010392)
  • American Diabetes Association (1-18-IBS-100)
Topics
  • Health Sciences › Medicine › Epidemiology › Liver Disease Diagnosis and Treatment
  • Health Sciences › Medicine › Hepatology › Liver physiology and pathology
  • Health Sciences › Medicine › Hepatology › Liver Diseases and Immunity
Keywords
non-alcoholic fatty liver disease, innate immunity, adaptive immunity, liver inflammation, immune cell types, therapeutic target
MeSH terms
Fatty Liver, Humans, Inflammation, Metabolic Diseases, Pancreas, Risk Factors

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review