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Integrated metabolomics and 16S rRNA sequencing reveal the mechanism of total flavones of Abelmoschus manihot (L.) Medic against liver fibrosis
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  • Published: 05 February 2026

Integrated metabolomics and 16S rRNA sequencing reveal the mechanism of total flavones of Abelmoschus manihot (L.) Medic against liver fibrosis

  • Dengya Li1,2,
  • Haitao Ge1,3,
  • Yan Zhang3,
  • Shuying Song3,
  • Luwan Xing2,
  • Emily Heya Tang4 &
  • …
  • Fujiang Wang1 

Scientific Reports , Article number:  (2026) Cite this article

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Diseases
  • Drug discovery

Abstract

To investigate the therapeutic effect of total flavones of Abelmoschus manihot (L.) Medic (TFA) on CCl4-induced liver fibrosis in mice, and to clarify the mechanism of action of TFA in ameliorating liver fibrosis by untargeted metabolomics and intestinal microbiota 16S rRNA sequencing, in order to provide an experimental basis for the clinical application of TFA in the treatment of liver fibrosis. To establish a mice model of CCl4-induced liver fibrosis, and liver injury was assessed through histopathology, liver function markers (ALT, AST), inflammatory cytokines, and oxidative stress indicators. Serum untargeted metabolomics was conducted via LC-MS/MS, and intestinal microbiota profiles were analyzed by 16S rRNA sequencing. TFA treatment significantly reduced ALT and AST levels by approximately 55% and 40%, respectively, and markedly ameliorated histopathological changes. It also attenuated oxidative stress and inflammation. Metabolomic analysis identified 83 differential metabolites, indicating that TFA restored disruptions in glycerophospholipid, tryptophan, and arachidonic acid metabolism. Gut microbiota sequencing showed that TFA increased beneficial bacteria and decreased harmful bacteria. Furthermore, TFA downregulated the expression of CYP1A1, CYP2E1, and ALOX15 in liver tissue, suggesting modulation of arachidonic acid metabolism. TFA alleviated CCl4-induced liver fibrosis in mice by reducing oxidative stress and inflammation, improving gut microbiota dysbiosis, and regulating host metabolism. These findings suggest that TFA may hold potential as a multi-target agent for liver fibrosis, although further studies are required to confirm its efficacy in other models and females.

Data availability

The data reported in this paper have been deposited in the OMIX, China National Center for Bioinformation / Beijing Institute of Genomics, Chinese Academy of Sciences (https://ngdc.cncb.ac.cn/omix: accession no.OMIX010404 and accession no.OMIX010405).

References

  1. Aydin, M. M. & Akcali, K. C. Liver fibrosis. Turk. J. Gastroenterol. 29, 14–21 (2018).

    Google Scholar 

  2. Higashi, T., Friedman, S. L. & Hoshida, Y. Hepatic stellate cells as key target in liver fibrosis. Adv. Drug Deliv Rev. 121, 27–42 (2017).

    Google Scholar 

  3. Pinzani, M. Pathophysiology of liver fibrosis. Dig. Dis. 33, 492–497 (2015).

    Google Scholar 

  4. Nafees, S. et al. Rutin ameliorates cyclophosphamide induced oxidative stress and inflammation in Wistar rats: Role of NFkappaB/MAPK pathway. Chem. Biol. Interact. 231, 98–107 (2015).

    Google Scholar 

  5. Jung, Y. K. & Yim, H. J. Reversal of liver cirrhosis: Current evidence and expectations. Korean J. Intern. Med. 32, 213–228 (2017).

    Google Scholar 

  6. Commission, N. P. Pharmacopoeia of the People’s Republic of China (China Medical Science, 2020).

  7. Zhang, L. et al. Efficacy and safety of Abelmoschus manihot for primary glomerular disease: A prospective, multicenter randomized controlled clinical trial. Am. J. Kidney Dis. 64, 57–65 (2014).

    Google Scholar 

  8. Trendafilova, A. et al. Flavonoid constituents and free radical scavenging activity of alchemilla mollis. Nat. Prod. Commun. 6, 1851–1854 (2011).

    Google Scholar 

  9. Li, N. et al. Chemical constituents, clinical efficacy and molecular mechanisms of the ethanol extract of Abelmoschus manihot flowers in treatment of kidney diseases. Phytother Res. 35, 198–206 (2021).

    Google Scholar 

  10. Yan, J. Y. et al. Investigations of the total flavonoids extracted from flowers of Abelmoschus manihot (L.) medic against alpha-naphthylisothiocyanate-induced cholestatic liver injury in rats. J. Ethnopharmacol. 172, 202–213 (2015).

    Google Scholar 

  11. Wei, Y. et al. Metagenomic comparison of intestinal microbiota between normal and liver fibrotic rhesus macaques (Macaca mulatta). Sci. Rep. 14, 15677 (2024).

    Google Scholar 

  12. Fan, Y. et al. Lactiplantibacillus plantarum Lp05 protects against ethanol-induced liver injury in zebrafish through metabolic and microbiota modulation. Sci. Rep. 15, 22584 (2025).

    Google Scholar 

  13. Glenwright, A. J. et al. Structural basis for nutrient acquisition by dominant members of the human gut microbiota. Nature 541, 407–411 (2017).

    Google Scholar 

  14. Sonnenburg, J. L. & Backhed, F. Diet-microbiota interactions as moderators of human metabolism. Nature 535, 56–64 (2016).

    Google Scholar 

  15. Geva-Zatorsky, N. et al. Mining the human gut microbiota for immunomodulatory organisms. Cell 168, 928–943 e911 (2017).

    Google Scholar 

  16. Wang, X., Zhang, A. & Sun, H. Power of metabolomics in diagnosis and biomarker discovery of hepatocellular carcinoma. Hepatology 57, 2072–2077 (2013).

    Google Scholar 

  17. Zhang, Y. et al. Serum metabonomics study of the hepatoprotective effect of Amarogentin on CCl(4)-induced liver fibrosis in mice by GC-TOF-MS analysis. J. Pharm. Biomed. Anal. 149, 120–127 (2018).

    Google Scholar 

  18. Wishart, D. S. Emerging applications of metabolomics in drug discovery and precision medicine. Nat. Rev. Drug Discov. 15, 473–484 (2016).

    Google Scholar 

  19. Han, J. et al. Integrative analysis of the gut microbiota and metabolome in rats treated with rice straw Biochar by 16S rRNA gene sequencing and LC/MS-based metabolomics. Sci. Rep. 9, 17860 (2019).

    Google Scholar 

  20. Hu, Y. et al. Predicting diabetic kidney disease with serum metabolomics and gut microbiota. Sci. Rep. 15, 12179 (2025).

    Google Scholar 

  21. Yanguas, S. C. et al. Experimental models of liver fibrosis. Arch. Toxicol. 90, 1025–1048 (2016).

    Google Scholar 

  22. Want, E. J. et al. Solvent-dependent metabolite distribution, clustering, and protein extraction for serum profiling with mass spectrometry. Anal. Chem. 78, 743–752 (2006).

    Google Scholar 

  23. Barri, T. & Dragsted, L. O. UPLC-ESI-QTOF/MS and multivariate data analysis for blood plasma and serum metabolomics: Effect of experimental artefacts and anticoagulant. Anal. Chim. Acta. 768, 118–128 (2013).

    Google Scholar 

  24. Kanehisa, M. et al. KEGG: New perspectives on genomes, pathways, diseases and drugs. Nucleic Acids Res. 45, D353–D361 (2017).

    Google Scholar 

  25. Kanehisa, M. et al. KEGG for taxonomy-based analysis of pathways and genomes. Nucleic Acids Res. 51, D587–D592 (2023).

    Google Scholar 

  26. Callahan, B. J. et al. DADA2: High-resolution sample inference from illumina amplicon data. Nat. Methods. 13, 581–583 (2016).

    Google Scholar 

  27. Callahan, B. J., McMurdie, P. J. & Holmes, S. P. Exact sequence variants should replace operational taxonomic units in marker-gene data analysis. ISME J. 11, 2639–2643 (2017).

    Google Scholar 

  28. Nearing, J. T. et al. Microbiome differential abundance methods produce different results across 38 datasets. Nat. Commun. 13, 342 (2022).

    Google Scholar 

  29. Edgar, R. C. Updating the 97% identity threshold for 16S ribosomal RNA OTUs. Bioinformatics 34, 2371–2375 (2018).

    Google Scholar 

  30. Ishizuka, T. et al. 20-Hydroxyeicosatetraenoic acid stimulates nuclear factor-kappaB activation and the production of inflammatory cytokines in human endothelial cells. J. Pharmacol. Exp. Ther. 324, 103–110 (2008).

    Google Scholar 

  31. Quintas, G. et al. Metabolomic analysis to discriminate drug-induced liver injury (DILI) phenotypes. Arch. Toxicol. 95, 3049–3062 (2021).

    Google Scholar 

  32. Mao, Y. et al. Ergothioneine ameliorates liver fibrosis by inhibiting glycerophospholipids metabolism and TGF-beta/Smads signaling pathway: Based on metabonomics and network Pharmacology. J. Appl. Toxicol. 45, 514–530 (2025).

    Google Scholar 

  33. Wan, S. et al. Gut microbial dysbiosis is associated with profibrotic factors in liver fibrosis mice. Front. Cell. Infect. Microbiol. 10, 18 (2020).

    Google Scholar 

  34. Lee, G. et al. Distinct signatures of gut Microbiome and metabolites associated with significant fibrosis in non-obese NAFLD. Nat. Commun. 11, 4982 (2020).

    Google Scholar 

  35. Hu, Y. et al. Gegen Qinlian Decoction ameliorates TNBS-induced ulcerative colitis by regulating Th2/Th1 and Tregs/Th17 cells balance, inhibiting NLRP3 inflammasome activation and reshaping gut microbiota. J. Ethnopharmacol. 328, 117956 (2024).

    Google Scholar 

  36. Wang, Z. et al. Flavonoid-rich extracts of Nelumbo nucifera leaves alleviate obesity in HFD-fed mice via microbiota-dependent modulation of brown fat thermogenesis. J. Ethnopharmacol. 354, 120513 (2025).

    Google Scholar 

  37. den Besten, G. et al. The role of short-chain fatty acids in the interplay between diet, gut microbiota, and host energy metabolism. J. Lipid Res. 54, 2325–2340 (2013).

    Google Scholar 

  38. Tang, M. G. et al. Theaflavin-3,3’-digallate prevents alcoholic liver injury by suppressing hepatic TLR4/NF-kappaB signaling and modulating the gut-liver axis in mice. J. Nutr. Biochem. 145, 110031 (2025).

    Google Scholar 

  39. He, Y. et al. Preventive effects of l-Glutamine on High-Fat Diet-Induced metabolic disorders linking with regulation of intestinal barrier Integrity, hepatic lipid Metabolism, and gut microbiota in rats. J. Agric. Food Chem. 70, 11923–11934 (2022).

    Google Scholar 

  40. Aja, E. et al. Health effects and therapeutic potential of the gut microbe Akkermansia Muciniphila. Nutrients 17, 562 (2025).

    Google Scholar 

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Acknowledgements

Sequencing service and data analysis service were provided by Wekemo Tech Group Co., Ltd. Shenzhen China.

Funding

This research did not receive any specific grant from any funding agency in the public, commercial or not-for-profit sector.

Author information

Authors and Affiliations

  1. Department of Clinical Medicine and Pharmacology, Jiangsu Suzhong Pharmaceutical R&D Institute Co., Ltd, Nanjing, China

    Dengya Li, Haitao Ge & Fujiang Wang

  2. School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China

    Dengya Li & Luwan Xing

  3. College of pharmacy, Nanjing University of Chinese Medicine, Nanjing, China

    Haitao Ge, Yan Zhang & Shuying Song

  4. Basis International School Nanjing, Nanjing, China

    Emily Heya Tang

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Contributions

Dengya Li drafted the manuscript. Emily Heya Tang performed the data processing. Yan Zhang, Shuying Song and Luwan Xing performed Western blot experiments and conducted data analysis. Haitao Ge and Fujiang Wang critically appraised the paper and gave final suggestions. All authors contributed to the final approval of the manuscript.

Corresponding author

Correspondence to Fujiang Wang.

Ethics declarations

Competing interests

The authors declare that they have no competing interests.

Ethics approval and consent to participate

This study was approved by the Animal Ethics Committee of Suzhong Pharmaceutical Group Co., Ltd. (Approval Code: SZSW-2023082401). All methods are reported in accordance with ARRIVE guidelines.

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Not applicable.

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Cite this article

Li, D., Ge, H., Zhang, Y. et al. Integrated metabolomics and 16S rRNA sequencing reveal the mechanism of total flavones of Abelmoschus manihot (L.) Medic against liver fibrosis. Sci Rep (2026). https://doi.org/10.1038/s41598-026-38192-5

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  • Received: 02 June 2025

  • Accepted: 29 January 2026

  • Published: 05 February 2026

  • DOI: https://doi.org/10.1038/s41598-026-38192-5

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Keywords

  • Total flavones of Abelmoschus manihot (L.) Medic
  • Liver fibrosis
  • Serum metabolomics
  • Gut microbiota
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