Accurate metabolite characterization plays a vital role in targeted metabolomics. Nonetheless, the library of metabolites is still limited, especially for downstream conjugates, and it is time-consuming to synthesize each of these compounds due to high structural diversity. Herein, a green and smart strategy was developed to expand the scope of targeted metabolomics. The reference standards were synthesized in a one-pot microscale reaction, and the analytical method was tailored using the synthetic products. A group of new metabolites, namely bile acid-amino acid conjugates (BA-AAs), was studied as a proof-of-concept. First, in total 160 BA-AAs were synthesized using a small amount (2 mg each) of bile acids and low-toxic reagents within 4 h. Then, an ultra-high-performance liquid chromatography /Orbitrap-MS method was established to comprehensively profile 202 bile acid derivatives in 20 min. Finally, the method was applied to mice with inflammatory bowel disease (IBD) to discover the accumulation of 70 rare BA-AAs in small intestine and liver, where 55 were first reported from biosamples. These BA-AAs are farnesoid X receptor modulators and might contribute to the development of IBD. Our study demonstrated a feasible approach for the broad-spectrum targeted metabolomics of bile acids.
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http://dx.doi.org/10.1021/acs.analchem.2c02086 | DOI Listing |
Biomed Chromatogr
February 2025
School of Pharmaceutical Sciences, Jilin University, Changchun, People's Republic of China.
Previous studies have suggested that ginsenoside Rg glycine ester derivative (RG) exhibits therapeutic potential in mitigating hypoxia. This study aimed to elucidate the potential mechanism of RG in hypoxia injury through a combined approach of metabolomics and network pharmacology. Initially, a CoCl-induced cell hypoxia model was established, and the therapeutic impact of RG on biochemical indices was evaluated.
View Article and Find Full Text PDFBackground: The mechanism underlying chronic drug-induced liver injury (DILI) remains unclear. Immune activation is a common feature of DILI progression and is closely associated with metabolism. We explored the immunometabolic profile of chronic DILI and the potential mechanism of chronic DILI progression.
View Article and Find Full Text PDFAdv Healthc Mater
January 2025
College of Chinese Medicinal Materials, Jilin Agricultural University, Changchun, 130118, China.
Natural plant-derived polysaccharides exhibit substantial potential for treating ulcerative colitis (UC) owing to their anti-inflammatory and antioxidant properties and favorable safety profiles. However, their practical application faces several challenges, including structural instability in gastric acid, imprecise targeting of inflamed regions, and limited intestinal retention times. To address these limitations, pH-responsive, colon-targeting microspheres (pWGPAC MSs) are developed for delivering phosphorylated wild ginseng polysaccharides (pWGP) to alleviate UC.
View Article and Find Full Text PDFNutrients
December 2024
Cryptobiotix, Technologiepark-Zwijnaarde 82, 9052 Gent, Belgium.
Background: The human gut microbiota develops in concordance with its host over a lifetime, resulting in age-related shifts in community structure and metabolic function. Little is known about whether these changes impact the community's response to microbiome-targeted therapeutics. Providing critical information on this subject, faecal microbiomes of subjects from six age groups, spanning from infancy to 70-year-old adults (n = six per age group) were harvested.
View Article and Find Full Text PDFNutrients
December 2024
Functional Gastrointestinal Disorders Research Group, National Institute of Gastroenterology IRCCS "Saverio de Bellis", Castellana Grotte, 70013 Bari, Italy.
Aims: This study explores the link between body mass index (BMI), intestinal permeability, and associated changes in anthropometric and impedance parameters, lipid profiles, inflammatory markers, fecal metabolites, and gut microbiota taxa composition in participants having excessive body mass.
Methods: A cohort of 58 obese individuals with comparable diet, age, and height was divided into three groups based on a priori clustering analyses that fit with BMI class ranges: Group I (25-29.9), Group II (30-39.
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