Evidence map›Paper›PMID 41014384›Full record

ArticleImmunologic research2025

Piceatannol improves autoimmune hepatitis by inhibiting the immune activities of T cells and macrophages through binding with c-Jun.

Cong Xu, Chenqi Lu, Wu Wang, Zhimin Wang, Yang Qiu, Min Han, Jun Yang, Shanglin Li

Abstract read
PubMed Publisher
In one paragraph

Article in Immunologic research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Cong XuInstitute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology; Key Laboratory of Organ Transplantation, Ministry of Education; NHC Key Laboratory of Organ Transplantation; Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, 430030, China.
Chenqi LuInstitute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology; Key Laboratory of Organ Transplantation, Ministry of Education; NHC Key Laboratory of Organ Transplantation; Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, 430030, China.
Wu WangDepartment of General Surgery, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430015, China.
Zhimin WangDepartment of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yang QiuDepartment of Kidney Transplantation, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China.
Min HanDivision of Nephrology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. minhan@tjh.tjmu.edu.cn.
Jun YangInstitute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology; Key Laboratory of Organ Transplantation, Ministry of Education; NHC Key Laboratory of Organ Transplantation; Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, 430030, China. jy@tjh.tjmu.edu.cn.
Shanglin LiDepartment of General Surgery, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430015, China. lishanglin@zgwhfe.com.

Funding

National Natural Science Foundation of China 81873624National Natural Science Foundation of China 82100800Natural Science Foundation of Hubei Province XJ2023002101
6 · The paper itself

Abstract

Autoimmune hepatitis (AIH) is an immune-mediated liver disease that currently lacks viable drug treatment methods. This study is to explore the role of piceatannol (PIC) in ConA-induced AIH and the related mechanisms. A mouse model of AIH was established by injecting ConA (i.v.), and PIC was administered as an intervention. The protective effect of PIC was evaluated by the liver function, liver pathology, and serum levels of inflammatory factors. Subsequently, network pharmacology was used to predict the pathways and targets of PIC in the treatment of AIH, and the predicted results were validated using flow cytometry, molecular docking, surface plasmon resonance (SPR) and so on. Finally, the immunosuppressive effect of PIC was further validated in a mouse heart transplantation model. PIC can improve liver function decline and reduce pathological liver damage, as well as inhibit the increase of serum inflammatory factor levels in mice with AIH induced by ConA. The protective effect is achieved by suppressing the immune activity of T cells and macrophages through binding to c-Jun. PIC can also extend the survival of cardiac allografts and inhibit acute rejection reactions. These results indicated that PIC can significantly improve ConA-induced AIH in mice by inhibiting the immune activity of T cells and macrophages through binding to c-Jun. PIC can also extend the survival of cardiac allografts in mice and inhibit acute rejection responses. The above results indicated that PIC may serve as a promising immunosuppressant and be effective for AIH.

Indexed as

Hepatitis, AutoimmuneImmunosuppressive AgentsJNK Mitogen-Activated Protein KinasesMacrophagesProto-Oncogene Proteins c-junStilbenesT-LymphocytesAnimalsConcanavalin ADisease Models, AnimalHeart TransplantationHumansLiverMaleMiceMice, Inbred BALB C3,3',4,5'-tetrahydroxystilbeneConcanavalin AImmunosuppressive AgentsJNK Mitogen-Activated Protein KinasesProto-Oncogene Proteins c-junStilbenesAutoimmune hepatitisMacrophage differentiationMouse heart transplantationPiceatannolT cell activation

Identifiers

PMID41014384

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.