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Record W4414979676 · doi:10.1016/j.jhepr.2025.101619

From model to man: Understanding Tregs' dual role in MASLD

2025· article· en· W4414979676 on OpenAlexaff
Janine Dywicki, Laura Elisa Buitrago‐Molina, Anna Baumann, Ana Clara Marques Davalos‐Misslitz, Celina M. Hendriks, Katharina Luise Hupa‐Breier, Maren Lieber, Jérôme Schlué, Matthias Blüher, Heike Bantel, Christine S. Falk, Christian Koenecke, Freya Wellhöner, Benjamin Heidrich, Michael P. Manns, Fatih Noyan, Heiner Wedemeyer, Richard Taubert, Elmar Jaeckel, Matthias Hardtke‐Wolenski

Bibliographic record

VenueJHEP Reports · 2025
Typearticle
Languageen
FieldMedicine
TopicLiver Disease Diagnosis and Treatment
Canadian institutionsUniversity Health Network
FundersHorizon 2020 Framework ProgrammeBundesministerium für Bildung und ForschungDeutsche Forschungsgemeinschaft
KeywordsImmune systemComplement (music)SteatohepatitisAcquired immune systemTranslation (biology)Dual (grammatical number)Constraint (computer-aided design)Complement system

Abstract

fetched live from OpenAlex

Background & Aims: Metabolic Dysfunction-associated Steatotic Liver Disease (MASLD) affects around 30% of the world's population and is often associated with metabolic conditions such as obesity, diabetes and hypertension. Approximately 10-20% of metabolic dysfunction-associated steatotic liver disease cases progress to metabolic dysfunction-associated steatohepatitis (MASH), which significantly increases the risk of liver cancer. While intrahepatic immune responses involving CD4+ and CD8+ T cells are potential therapeutic targets, their role in the pathogenesis of MASH is not fully understood. Regulatory T cells (Tregs), whose involvement has been controversial, require further investigation. Methods: -deficient C57BL/6 mice, supplemented with human liver samples. Results: Our results showed that HF-HCD induced glucose intolerance and MASH, independent of adaptive immunity. Surprisingly, HF-HCD increased intrahepatic Treg numbers and the Treg/Teff ratio but did not alleviate the disease; instead, this increase correlated with greater disease severity. With progressing metabolic inflammation, an increased proportion of Tregs also expressed IL-17, which correlated with more severe liver pathology. Conclusions: 17-skewed) cells. These findings highlight the complex role of adaptive immunity in MASH progression and provide potential targets for future immunomodulatory therapies. Impact and implications: T cells markedly amplify hepatocellular injury and fibrosis. By separating initiating (macrophage-driven) from amplifying (adaptive) immune signals, our study refines current pathogenic models and provides hepatologists and immunologists with stage-specific therapeutic targets. For clinicians and trial designers, the data indicate that stabilizing Tregs or selectively dampening pro-inflammatory T-cell subsets could complement metabolic interventions in metabolic dysfunction-associated steatotic liver disease/steatohepatitis, whereas indiscriminate Treg expansion might be counter-productive. Because the conclusions are drawn from a murine model, translation to humans will require validation in patient-derived tissues and non-invasive immune biomarkers.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.099
Threshold uncertainty score0.390

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.035
GPT teacher head0.302
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2025
Admission routes1
Has abstractyes

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