Evidence mapPaperPMID 41909758Full record

ReviewActa pharmaceutica Sinica. B2026

Liver-pancreas communication in disease and drug development.

Yan Jia, Qingtian Zhu, Qiong Pan, Guotao Lu, Jia Xiao

Abstract readReview
In one paragraph

Review in Acta pharmaceutica Sinica. B, 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

5 authors.

Yan JiaDepartment of Gastroenterology, Xiangya Hospital, Central South University, Changsha 410008, China.
Qingtian ZhuInstitute of Digestive Diseases, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou 225000, China.
Qiong PanCholestatic Liver Diseases Center, The First Affiliated Hospital (Southwest Hospital) of Third Military Medical University (Army Medical University), Chongqing 400038, China.
Guotao LuInstitute of Digestive Diseases, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou 225000, China.
Jia XiaoSchool of Life and Health Sciences, University of Health and Rehabilitation Sciences, Qingdao 266071, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The liver and pancreas are metabolically intertwined organs whose bidirectional communication is critical for maintaining systemic homeostasis. Dysregulation of this inter-organ crosstalk is a central driver in the pathology of a growing list of prevalent diseases, including metabolic dysfunction-associated steatotic liver disease (MASLD), liver cancer, acute and chronic pancreatitis, and various forms of diabetes. Given the substantial global health burden of these conditions and the lack of effective, Food and Drug Administration (FDA)-approved pharmacological interventions for those diseases, understanding the intricate mechanisms is an urgent and timely endeavor. This review provides a comprehensive synthesis of recent advancements in deciphering the molecular basis of liver-pancreas communication. We explore the multifaceted signaling networks involved, including the roles of liver-derived hepatokines, pancreas-derived hormones, extracellular vesicles, and metabolic exchanges. This axis is further integrated within broader systemic networks involving the gut, neuronal system, adipose tissue, and skeletal muscle. While clinical trials targeting this communication show promise (

Indexed as

CommunicationDrug developmentExtracellular vesiclesHepatokineHormonesLiverOrgan crosstalkPancreas

Identifiers

PMID41909758
PMCPMC13031078

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.