Shenling Baizhu San Ameliorates MASH and Associated Depression-like Behavior in Mice by Impacting Gut Microbiota and Carbohydrate Enzymes.

IF 1.7 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
Aiping Wu, Wanyi Ou, Dongliang Chen, Yuanfei Wang, Guiru Lin, Jianmei Yang, Yanyan Hong, Minhui Li, Qinhe Yang, Chenli Lin, Yinji Liang
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引用次数: 0

Abstract

Introduction: A major clinical concern of Metabolic Dysfunction-Associated Steatohepatitis (MASH) is its potential to progress to cirrhosis and hepatocellular carcinoma. Although Shenling BaiZhu San (SLBZS) has shown potential in managing MASH, its underlying therapeutic mechanisms remain unclear. This study sought to explore how SLBZS ameliorate MASH, particularly its regulatory effects on gut microbiota and carbohydrate enzymes (CAZymes).

Methods: 15 male C57BL/6 mice were assigned to three groups: control (normal diet, ND), MASH (Western diet combined with CCl₁, WDC), and treatment (WDC plus daily SLBZS, WDC-SLBZS). After 12 weeks, the physiological, biochemical, pathological and behavioral indicators of the mice were assessed, and 16S rRNA gene sequencing was conducted, along with characterization of CAZymes in fecal samples from all experimental groups.

Result: The treated mice showed reduced hepatic steatosis and fibrosis, with significantly lower liver lipids (TC and TG), serum enzymes (AST and ALT), and pro-inflammatory cytokines (IL6, IL-1β, and MCP-1), accompanied by alleviation of depression-like behavior. 16S rRNA gene analysis revealed that beneficial bacteria (Muribaculum, Rikenellaceae, and Prevotellaceae) were significantly decreased in the MASH mice, whereas potentially harmful taxa (Klebsiella, Corynebacterium, and Faecalibaculum) were increased; these trends were reversed in the treatment group, especially for Rikenellaceae (P < 0.05). CAZymes, markedly diminished in MASH (P < 0.05), were partially restored after treatment. Correlation analysis showed that declines in Rikenellaceae and increases in Corynebacterium both positively correlated with depression-like behavior (r ≥ 0.7, P < 0.05).

Discussion: The benefits of SLBZS against MASH and associated depression are not simply in rebuilding the gut microbiota, but in reshaping carbohydrate metabolism through regulated CAZymes, which restores the intestinal barrier and energy balance, thereby attenuating liver lipid accretion and the inflammatory cascade. Although efficacy has been validated, the "microbiotaCAZyme-host metabolism" causal chain at finer taxonomic and functional levels needs further analysis.

Conclusion: SLBZS may relieve liver lipid accumulation, inflammatory damage, and associated depression-like behavior in MASH by partially restoring beneficial bacteria (e.g., Rikenellaceae) and related CAZymes.

参苓白术散通过影响肠道菌群和碳水化合物酶改善小鼠MASH和相关抑郁样行为。
代谢功能障碍相关脂肪性肝炎(MASH)的主要临床问题是其发展为肝硬化和肝细胞癌的可能性。虽然参苓白术散(SLBZS)显示出治疗MASH的潜力,但其潜在的治疗机制尚不清楚。本研究旨在探索SLBZS如何改善MASH,特别是其对肠道微生物群和碳水化合物酶(CAZymes)的调节作用。方法:将15只雄性C57BL/6小鼠分为3组:对照组(正常饮食,ND), MASH(西餐联合CCl 1, WDC)和治疗组(WDC加每日SLBZS, WDC-SLBZS)。12周后,评估小鼠的生理生化、病理和行为指标,并对各实验组粪便样本进行16S rRNA基因测序,并对CAZymes进行表征。结果:治疗后小鼠肝脏脂肪变性和纤维化减轻,肝脂质(TC和TG)、血清酶(AST和ALT)和促炎细胞因子(IL6、IL-1β和MCP-1)显著降低,抑郁样行为减轻。16S rRNA基因分析显示,有益菌群(Muribaculum, Rikenellaceae, Prevotellaceae)在MASH小鼠中显著减少,而潜在有害菌群(Klebsiella,棒状杆菌,Faecalibaculum)增加;这一趋势在治疗组完全逆转,尤以里氏菌科(Rikenellaceae)为显著(P < 0.05)。cazy酶在治疗后部分恢复,显著降低(P < 0.05)。相关分析显示,里氏杆菌科细菌数量减少,棒状杆菌数量增加与抑郁样行为呈正相关(r≥0.7,P < 0.05)。讨论:SLBZS对MASH和相关抑郁症的益处不仅仅在于重建肠道微生物群,还在于通过调节CAZymes重塑碳水化合物代谢,从而恢复肠道屏障和能量平衡,从而减轻肝脏脂质增加和炎症级联反应。虽然有效性已得到验证,但在更精细的分类和功能水平上,“微生物-酵素-宿主代谢”因果链需要进一步分析。结论:SLBZS可能通过部分恢复有益菌(如Rikenellaceae)和相关酶来缓解肝脏脂质积累、炎症损伤和相关抑郁样行为。
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来源期刊
CiteScore
3.10
自引率
5.60%
发文量
327
审稿时长
7.5 months
期刊介绍: Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Target identification and validation Assay design, development, miniaturization and comparison High throughput/high content/in silico screening and associated technologies Label-free detection technologies and applications Stem cell technologies Biomarkers ADMET/PK/PD methodologies and screening Probe discovery and development, hit to lead optimization Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) Chemical library design and chemical diversity Chemo/bio-informatics, data mining Compound management Pharmacognosy Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products) Natural Product Analytical Studies Bipharmaceutical studies of Natural products Drug repurposing Data management and statistical analysis Laboratory automation, robotics, microfluidics, signal detection technologies Current & Future Institutional Research Profile Technology transfer, legal and licensing issues Patents.
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