Integrative Multi-omics and Machine Learning Reveal the Therapeutic Mechanisms of Juanyu-Xiaozhi Formula in Metabolic Dysfunction-associated Steatotic Liver Disease and Hepatic Fibrosis via the AP-1/PPARγ/SCD1 Axis

Zhiqiang Jin; Yi Huang; Cheng Zeng; Yueting Zhang; Yu Qiu; Yang Yang; Huabao Liu

doi:10.14218/jcth.2026.00106

August 7, 2026Journal of Clinical and Translational HepatologyOpen Access

Integrative Multi-omics and Machine Learning Reveal the Therapeutic Mechanisms of Juanyu-Xiaozhi Formula in Metabolic Dysfunction-associated Steatotic Liver Disease and Hepatic Fibrosis via the AP-1/PPARγ/SCD1 Axis

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Key Points

This study seeks to explore the therapeutic effects of Juanyu-Xiaozhi Formula (JYXZF) on metabolic dysfunction-associated liver disease and to identify its mechanisms of action.
Utilized integrative multi-omics approaches and machine learning techniques.
Investigated the bioactive components of Juanyu-Xiaozhi Formula and their interactions within metabolic pathways.
Demonstrated significant therapeutic effects of JYXZF on metabolic dysfunction-associated steatotic liver disease (MASLD).
Revealed the AP-1/PPARγ/SCD1 signaling axis as crucial in mediating therapeutic responses.

Implication

Investigates Juanyu-Xiaozhi Formula's therapeutic effects in metabolic liver disease, indicating its potential benefits.

Abstract

Despite the surging global prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) and related liver fibrosis, effective treatments remain limited. While the traditional Chinese medicine Juanyu-Xiaozhi Formula (JYXZF) is used against MASLD, its bioactive components and mechanisms are poorly understood. This study aimed to investigate the therapeutic effects of JYXZF and elucidate its underlying mechanisms of action.

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Cite This Study

Jin et al. (2026) studied this question.

synapsesocial.com/papers/6a782d862e1896536c840be0 https://doi.org/10.14218/jcth.2026.00106

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Integrative Multi-omics and Machine Learning Reveal the Therapeutic Mechanisms of Juanyu-Xiaozhi Formula in Metabolic Dysfunction-associated Steatotic Liver Disease and Hepatic Fibrosis via the AP-1/PPARγ/SCD1 Axis

Key Points

Implication

Abstract

Discussion

Cite This Study

Integrative Multi-omics and Machine Learning Reveal the Therapeutic Mechanisms of Juanyu-Xiaozhi Formula in Metabolic Dysfunction-associated Steatotic Liver Disease and Hepatic Fibrosis via the AP-1/PPARγ/SCD1 Axis

Key Points

Implication

Abstract

Discussion

Cite This Study

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