Multiomics Analyses of Citrus aurantium L. Var. Amara and Ginger Reveals Lipid Metabolism, Bile Acid Biosynthesis, and Gut Microbiome Rebalance Supporting Their Anti-Obesity Effects

IF 1.8 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
Ying Yang, Wentao Shao, Huiyun Shu, Ping Wang, Yi Tao
{"title":"Multiomics Analyses of Citrus aurantium L. Var. Amara and Ginger Reveals Lipid Metabolism, Bile Acid Biosynthesis, and Gut Microbiome Rebalance Supporting Their Anti-Obesity Effects","authors":"Ying Yang,&nbsp;Wentao Shao,&nbsp;Huiyun Shu,&nbsp;Ping Wang,&nbsp;Yi Tao","doi":"10.1002/bmc.70034","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Both the flower of <i>Citrus aurantium</i> L. var. amara (CAVA) and rhizome of <i>Zingiber officinale Roscoe</i> (ginger) are food and medicinal homologous plants that have been used in China for aiding gastric digestion and preventing obesity. However, the combinatorial use of the two plants on obesity remains elusive. Our endeavor aimed to identify the optimal synergistic ratio between CAVA and ginger and to explore the underlying mechanism of their anti-obesity effects. Aqueous CAVA and ginger extracts were prepared separately and then combined into nine different ratios. The constituents of CAVA and ginger were unambiguously characterized by employing LC–MS. High-fat diet (HFD)–induced obese C57BL/6J mice were established and then administered with the nine combinations of CAVA-G extracts for 6 weeks. The trajectory of mice's body weights was analyzed. Besides, hematoxylin and eosin (HE) staining of the liver and oil red O staining of adipose tissue were performed. ELISA assay was employed to measure serum levels of total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C). Moreover, serum metabolic profiling was conducted through UPLC-Q-TOF/MS analysis. Gut microbiota analysis was performed via 16S rRNA gene sequencing. Pattern recognition and Pearson correlation analysis were used to pinpoint the key endogenous metabolites and microbiota. Two groups of CAVA-G combination treatment (C3 and A1) significantly prevented the increase of weight in mice. According to our analysis, the best anti-obesity effect was achieved when the ratio between CAVA and ginger was 37:63. The levels of TC and LDL-C were dramatically decreased in the C3 group, whereas the level of TG was significantly reduced in the A1 group. Interestingly, HDL-C level was increased dramatically in the C3 group. Compared with the model group, a total of 16 and 25 biomarkers were identified for groups C3 and A1, respectively. These biomarkers are mainly implicated in lipid metabolism and primary bile acid biosynthesis. Interestingly, the abnormal diversity of gut microbiota was induced by HFD feeding. Treatment with C3 or A1 significantly increased the relative abundance of <i>Akkermansia</i> and <i>Novosphingobium</i>, while reducing the relative abundance of <i>Dorea</i>, <i>Bacteroides</i> and <i>Roseburia</i>. Of note, this is the first report that <i>Novosphingobium</i> is involved in preventing obesity. These findings will layer a foundation for the usage of CAVA-G for preventing obesity.</p>\n </div>","PeriodicalId":8861,"journal":{"name":"Biomedical Chromatography","volume":"39 5","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomedical Chromatography","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/bmc.70034","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0

Abstract

Both the flower of Citrus aurantium L. var. amara (CAVA) and rhizome of Zingiber officinale Roscoe (ginger) are food and medicinal homologous plants that have been used in China for aiding gastric digestion and preventing obesity. However, the combinatorial use of the two plants on obesity remains elusive. Our endeavor aimed to identify the optimal synergistic ratio between CAVA and ginger and to explore the underlying mechanism of their anti-obesity effects. Aqueous CAVA and ginger extracts were prepared separately and then combined into nine different ratios. The constituents of CAVA and ginger were unambiguously characterized by employing LC–MS. High-fat diet (HFD)–induced obese C57BL/6J mice were established and then administered with the nine combinations of CAVA-G extracts for 6 weeks. The trajectory of mice's body weights was analyzed. Besides, hematoxylin and eosin (HE) staining of the liver and oil red O staining of adipose tissue were performed. ELISA assay was employed to measure serum levels of total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C). Moreover, serum metabolic profiling was conducted through UPLC-Q-TOF/MS analysis. Gut microbiota analysis was performed via 16S rRNA gene sequencing. Pattern recognition and Pearson correlation analysis were used to pinpoint the key endogenous metabolites and microbiota. Two groups of CAVA-G combination treatment (C3 and A1) significantly prevented the increase of weight in mice. According to our analysis, the best anti-obesity effect was achieved when the ratio between CAVA and ginger was 37:63. The levels of TC and LDL-C were dramatically decreased in the C3 group, whereas the level of TG was significantly reduced in the A1 group. Interestingly, HDL-C level was increased dramatically in the C3 group. Compared with the model group, a total of 16 and 25 biomarkers were identified for groups C3 and A1, respectively. These biomarkers are mainly implicated in lipid metabolism and primary bile acid biosynthesis. Interestingly, the abnormal diversity of gut microbiota was induced by HFD feeding. Treatment with C3 or A1 significantly increased the relative abundance of Akkermansia and Novosphingobium, while reducing the relative abundance of Dorea, Bacteroides and Roseburia. Of note, this is the first report that Novosphingobium is involved in preventing obesity. These findings will layer a foundation for the usage of CAVA-G for preventing obesity.

求助全文
约1分钟内获得全文 求助全文
来源期刊
Biomedical Chromatography
Biomedical Chromatography 生物-分析化学
CiteScore
3.60
自引率
5.60%
发文量
268
审稿时长
2.3 months
期刊介绍: Biomedical Chromatography is devoted to the publication of original papers on the applications of chromatography and allied techniques in the biological and medical sciences. Research papers and review articles cover the methods and techniques relevant to the separation, identification and determination of substances in biochemistry, biotechnology, molecular biology, cell biology, clinical chemistry, pharmacology and related disciplines. These include the analysis of body fluids, cells and tissues, purification of biologically important compounds, pharmaco-kinetics and sequencing methods using HPLC, GC, HPLC-MS, TLC, paper chromatography, affinity chromatography, gel filtration, electrophoresis and related techniques.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信