Evidence map›Paper›PMID 40883192›Full record

ReviewTrends in endocrinology and metabolism: TEM2026

Redefining senescence through hepatocyte fate changes in liver diseases.

David S Umbaugh, Anna Mae Diehl, Kuo Du

Abstract readReview
In one paragraph

Review in Trends in endocrinology and metabolism: TEM, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

3 authors.

David S UmbaughDepartment of Medicine, Duke University, Durham, NC 27705, USA.
Anna Mae DiehlDepartment of Medicine, Duke University, Durham, NC 27705, USA.
Kuo DuDepartment of Medicine, Duke University, Durham, NC 27705, USA. Electronic address: kuo.du@duke.edu.

Funding

TNF ALPHA AND RECOVERY FROM ALCOHOLIC LIVER INJURYR01AA010154 · NIAAA · JOHNS HOPKINS UNIVERSITY · PI ANNA MAE ELIZABETH DIEHL, Auinash Kalsotra · 1994 to 2026
$6.1M
Hedgehog Signaling and Adult Liver RegenerationR01DK077794 · NIDDK · DUKE UNIVERSITY · PI DIEHL, ANNA MAE ELIZABETH · 2008 to 2020
$4.6M
Hepatic Lipotoxicity, Metabolic Homeostasis and NAFLD PathogenesisR56DK134334 · NIDDK · DUKE UNIVERSITY · PI DIEHL, ANNA MAE ELIZABETH · 2023 to 2023
$493k
Targeting Hepatocyte Senescence to Improve NAFLDK01DK135793 · NIDDK · DUKE UNIVERSITY · PI Kuo Du · 2024 to 2026
$433k
NIAAA NIH HHS R01 AA010154NIDDK NIH HHS K01 DK135793NIDDK NIH HHS R01 DK077794NIDDK NIH HHS R56 DK134334
6 · The paper itself

Abstract

Hepatocyte senescence is increasingly recognized as a key contributor to liver pathophysiology. While traditionally viewed as a state of permanent growth arrest, hepatocyte senescence is now understood to be more dynamic and potentially reversible, particularly during liver repair. In this opinion article, we propose reframing senescence as a continuum rather than a terminal fate. We focus on early stress-responsive states, especially those marked by p21 expression, which may be adaptive or pro-regenerative depending on the context. We highlight the roles of p21-associated secretory phenotypes (PASPs), senescence-associated secretory phenotypes (SASPs), epithelial plasticity, and partial epithelial-to-mesenchymal transition (EMT) in modulating hepatocyte behavior, immune surveillance, and cancer risk. Viewing hepatocyte senescence as a trajectory opens new opportunities for context-specific and temporally targeted therapeutic strategies in liver disease.

Indexed as

Cellular SenescenceHepatocytesLiver DiseasesAnimalsEpithelial-Mesenchymal TransitionHumansLiverSenescence-Associated Secretory Phenotypehepatocyte senescenceliver pathophysiologyMASLDp21SASP

Identifiers

PMID40883192
PMCPMC12404671

What Socratic holds

Textmetadata
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.