Evidence map›Paper›PMID 42207457›Full record

ArticleMolecular diversity2026

Design, synthesis, and biological evaluation of glycyrrhetinic acid-cinnamamide derivatives as HMGB1/TLR4 pathway inhibitors for sepsis-induced liver injury.

Jiao Wang, Tian Guo, Zhe Zheng, Yaping Zhang, Zhian Zha, Xiaohan Zhang, Jie Song, Dongyi Wei, Jianbin Yang

Abstract read
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In one paragraph

Article in Molecular diversity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Jiao Wang *Department of Stomatology, The First Affiliated Hospital of Henan Medical University, Xinxiang, 453000, China.
Tian Guo *Department of Stomatology, The First Affiliated Hospital of Henan Medical University, Xinxiang, 453000, China.
Zhe ZhengDepartment of Stomatology, The First Affiliated Hospital of Henan Medical University, Xinxiang, 453000, China.
Yaping ZhangDepartment of Stomatology, The First Affiliated Hospital of Henan Medical University, Xinxiang, 453000, China.
Zhian ZhaDepartment of Stomatology, The First Affiliated Hospital of Henan Medical University, Xinxiang, 453000, China.
Xiaohan ZhangDepartment of Stomatology, The First Affiliated Hospital of Henan Medical University, Xinxiang, 453000, China.
Jie SongDepartment of Stomatology, The First Affiliated Hospital of Henan Medical University, Xinxiang, 453000, China.
Dongyi WeiDepartment of Stomatology, The First Affiliated Hospital of Henan Medical University, Xinxiang, 453000, China. 2376336019@qq.com.
Jianbin YangDepartment of Stomatology, The First Affiliated Hospital of Henan Medical University, Xinxiang, 453000, China. 13283738840@163.com.

Funding

Henan Province Medical Science and Technology Key Research Program - Joint Youth Project with Provincial and Ministry Support SBGJ202403042
6 · The paper itself

Abstract

Sepsis-associated systemic inflammation represents a predominant etiology of acute liver injury, with the high-mobility group box 1(HMGB1)-mediated late-phase inflammatory response playing a central pathogenic role. As a key damage-associated molecular pattern molecule, HMGB1 activates downstream pro-inflammatory cascades through binding to Toll-like receptor 4(TLR4), triggering early-phase cytokine release (TNF-α, IL-1β) and upregulating inflammatory effectors(iNOS, COX-2), thereby establishing a self-amplifying cycle of inflammatory signaling and oxidative stress. Guided by this pathological framework, we developed a series of novel 3-aminoglycyrrhetinic acid derivatives through rational drug design targeting the HMGB1/TLR4 axis. Structural optimization of glycyrrhetinic acid involved C-30 benzyl esterification, C-3 amination, and subsequent conjugation with differentially substituted cinnamic acids, yielding 18 novel analogs. Through systematic pharmacological screening, compound 18 (featuring a 3',4'-dihydroxycinnamamide pharmacophore) emerged as a superior multi-target therapeutic candidate in LPS-challenged RAW264.7 and HepG2 models. It demonstrated concentration-dependent suppression of the upstream mediators TNF-α, IL-1β, HMGB1, and TLR4, while concurrently inhibiting downstream effectors iNOS and COX-2, achieving potent NO reduction (IC

Indexed as

Drug DesignGlycyrrhetinic AcidHMGB1 ProteinSepsisToll-Like Receptor 4AnimalsHep G2 CellsHumansLipopolysaccharidesLiverMaleMiceRAW 264.7 CellsSignal TransductionGlycyrrhetinic AcidHMGB1 ProteinLipopolysaccharidesToll-Like Receptor 4Acute liver injuryAnti-inflammatoryGlycyrrhetinic acid derivativesHMGB1/TLR4 pathwaySepsis

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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.