Evidence map›Paper›PMID 38707919›Full record

ArticleJournal of traditional and complementary medicine2024

Dachengqi decoction ameliorates sepsis-induced liver injury by inhibiting the TGF-β1/Smad3 pathways.

Guangtao Pan, Yanran Wu, Yuhan Liu, Fangyuan Zhou, Sen Li, Shenglan Yang

Abstract read
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Article in Journal of traditional and complementary medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Guangtao PanYancheng TCM Hospital Affiliated to Nanjing University of Chinese Medicine, 224000, Yancheng, Jiangsu Province, PR China.
Yanran WuDepartment of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, Hubei Province, PR China.
Yuhan LiuDepartment of Clinical Nutrition, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, Hubei Province, PR China.
Fangyuan ZhouDepartment of Clinical Nutrition, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, Hubei Province, PR China.
Sen LiDepartment of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, Hubei Province, PR China.
Shenglan YangDepartment of Clinical Nutrition, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, Hubei Province, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sepsis-induced acute liver injury (ALI) is a major contributor to mortality in septic patients. Exploring the pathogenesis and developing effective treatment strategies for sepsis-induced ALI is critical for improving patient outcomes. Dachengqi decoction (DCQD), which is a classic Chinese herbal medicine, has been shown to possess potent anti-inflammatory properties. However, the protective effects and underlying mechanisms of DCQD against sepsis-induced ALI remain unclear. This study aimed to investigate the protective effect of DCQD on sepsis-induced ALI and elucidate the involvement of the TGF-1β/Smad3 pathways. Methods: A septic mouse model was established using caecal ligation and puncture (CLP) to evaluate the protective effect of DCQD on sepsis-induced ALI in vivo. An in vitro cellular inflammation model was established using LPS-stimulated LO2 cells to further investigate the underlying mechanism. Results: DCQD (2.5, 5.0, and 10.0 g/kg body weight) was administered twice daily for 2 days and exerted a dose-dependent protective effect against sepsis-induced ALI. DCQD treatment significantly inhibited inappropriate inflammatory responses and oxidative stress in liver tissue. Moreover, DCQD maintained liver homeostasis by inhibiting hepatocyte apoptosis and improving sepsis-induced liver damage. In vivo and in vitro studies indicated that the TGF-β1/Smad3 signalling pathway played an important role in sepsis-induced ALI, and DCQD treatment significantly inhibited the activation of this pathway. Conclusions: DCQD can effectively suppress excessive inflammatory responses and oxidative stress, leading to a substantial reduction in hepatocyte apoptosis in sepsis-induced ALI.

Indexed as

Acute liver injuryDachengqi decoctionHepatocyte apoptosisSepsis

Identifiers

PMID38707919
PMCPMC11068991

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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 OpenQuestion graph.