Unveiling the anticancer potential of flavonoids in hepatocellular carcinoma through microbiome and spatially resolved metabolomics analysis

Abstract Background Hepatocellular carcinoma (HCC) causes a large worldwide health burden, needing novel ways to prevention and treatment. Traditional Chinese medicine, which is rich in bioactive substances, has emerged as a viable approach to tackling HCC difficulties. Artemisia rupestris L. (AR),...

Full description

Saved in:
Bibliographic Details
Main Authors: Lina You, WuKui Huang, ShuYing Chen
Format: Article
Language:English
Published: Springer 2025-07-01
Series:Discover Oncology
Subjects:
Online Access:https://doi.org/10.1007/s12672-025-03159-x
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849342964189364224
author Lina You
WuKui Huang
ShuYing Chen
author_facet Lina You
WuKui Huang
ShuYing Chen
author_sort Lina You
collection DOAJ
description Abstract Background Hepatocellular carcinoma (HCC) causes a large worldwide health burden, needing novel ways to prevention and treatment. Traditional Chinese medicine, which is rich in bioactive substances, has emerged as a viable approach to tackling HCC difficulties. Artemisia rupestris L. (AR), a perennial plant, has received interest for its immunoregulatory qualities and potential protection against viral influenza and hepatocellular cancer. Methods In this work, we looked at the pharmacological effects of Artemisia rupestris L. extract (ARE) on HCC mice. We used 16 S rRNA sequencing and computational biology approaches to investigate ARE-induced changes in bacterial composition inside HCC mouse tissues. Furthermore, we used liquid chromatography tandem mass spectrometry (UPLC-MS/MS) to identify metabolic changes caused by ARE. Results Our data indicate that ARE affects hepatocellular cancer via several pathways. AR offers a multi-faceted strategy to combating HCC by influencing critical metabolic pathways such α-linolenic acid and glycerophospholipid metabolism. Conclusions This research sheds new light on Artemisia rupestris L.‘s anticancer potential, setting the platform for a more in-depth knowledge of its influence on hepatocellular carcinoma using a multi-omics approach.
format Article
id doaj-art-29a6bdcd32fd4be8872128018020b777
institution Kabale University
issn 2730-6011
language English
publishDate 2025-07-01
publisher Springer
record_format Article
series Discover Oncology
spelling doaj-art-29a6bdcd32fd4be8872128018020b7772025-08-20T03:43:11ZengSpringerDiscover Oncology2730-60112025-07-0116111110.1007/s12672-025-03159-xUnveiling the anticancer potential of flavonoids in hepatocellular carcinoma through microbiome and spatially resolved metabolomics analysisLina You0WuKui Huang1ShuYing Chen2Traditional Chinese Medicine Oncology Department, The Affiliated Cancer Hospital of Xinjiang Medical UniversityInterventional Diagnosis and Treatment Department, The Affiliated Cancer Hospital of Xinjiang Medical UniversityThird Clinical Medical College of Xinjiang Medical University (Affiliated Cancer Hospital)Abstract Background Hepatocellular carcinoma (HCC) causes a large worldwide health burden, needing novel ways to prevention and treatment. Traditional Chinese medicine, which is rich in bioactive substances, has emerged as a viable approach to tackling HCC difficulties. Artemisia rupestris L. (AR), a perennial plant, has received interest for its immunoregulatory qualities and potential protection against viral influenza and hepatocellular cancer. Methods In this work, we looked at the pharmacological effects of Artemisia rupestris L. extract (ARE) on HCC mice. We used 16 S rRNA sequencing and computational biology approaches to investigate ARE-induced changes in bacterial composition inside HCC mouse tissues. Furthermore, we used liquid chromatography tandem mass spectrometry (UPLC-MS/MS) to identify metabolic changes caused by ARE. Results Our data indicate that ARE affects hepatocellular cancer via several pathways. AR offers a multi-faceted strategy to combating HCC by influencing critical metabolic pathways such α-linolenic acid and glycerophospholipid metabolism. Conclusions This research sheds new light on Artemisia rupestris L.‘s anticancer potential, setting the platform for a more in-depth knowledge of its influence on hepatocellular carcinoma using a multi-omics approach.https://doi.org/10.1007/s12672-025-03159-xFlavonoidsHepatocellular carcinomaMicrobiome
spellingShingle Lina You
WuKui Huang
ShuYing Chen
Unveiling the anticancer potential of flavonoids in hepatocellular carcinoma through microbiome and spatially resolved metabolomics analysis
Discover Oncology
Flavonoids
Hepatocellular carcinoma
Microbiome
title Unveiling the anticancer potential of flavonoids in hepatocellular carcinoma through microbiome and spatially resolved metabolomics analysis
title_full Unveiling the anticancer potential of flavonoids in hepatocellular carcinoma through microbiome and spatially resolved metabolomics analysis
title_fullStr Unveiling the anticancer potential of flavonoids in hepatocellular carcinoma through microbiome and spatially resolved metabolomics analysis
title_full_unstemmed Unveiling the anticancer potential of flavonoids in hepatocellular carcinoma through microbiome and spatially resolved metabolomics analysis
title_short Unveiling the anticancer potential of flavonoids in hepatocellular carcinoma through microbiome and spatially resolved metabolomics analysis
title_sort unveiling the anticancer potential of flavonoids in hepatocellular carcinoma through microbiome and spatially resolved metabolomics analysis
topic Flavonoids
Hepatocellular carcinoma
Microbiome
url https://doi.org/10.1007/s12672-025-03159-x
work_keys_str_mv AT linayou unveilingtheanticancerpotentialofflavonoidsinhepatocellularcarcinomathroughmicrobiomeandspatiallyresolvedmetabolomicsanalysis
AT wukuihuang unveilingtheanticancerpotentialofflavonoidsinhepatocellularcarcinomathroughmicrobiomeandspatiallyresolvedmetabolomicsanalysis
AT shuyingchen unveilingtheanticancerpotentialofflavonoidsinhepatocellularcarcinomathroughmicrobiomeandspatiallyresolvedmetabolomicsanalysis