Monoacylglycerols (MAGs) are active mediators involved in multiple biological processes closely related to the pathological development of diabetes, obesity, and cancers. Sensitive and unambiguous detection of MAGs is thus essential; however, previous methods are both indirect and labor-intensive. Herein, we developed a straightforward approach by derivatization of MAGs with 3-nitrophenylboronic acid (3-NPB) for sensitive and selective analysis in cell lysates, tissues, and serums by mass spectrometry (MS). Reaction occurring between boronic acid and cis-diol moiety of MAGs blocked the formation of multiple adduct ions and tuned MAGs to negatively charged carrying species. In addition, the characteristic isotopic distribution of boron specialized the presence of modified MAGs in MS and led to distinctive identification. To eliminate endogenous interferences, we further introduced isotopic labeled d-NPB equivalently premixed with d-NPB to perform MAG derivatization, which resulted in rapid identification of modified MAGs in biofluids by displaying doublet peak characteristics. A comparative quantification approach was thereafter evoluted to reveal the amount variation of MAGs by d-NPB and d-NPB separately derivatized in different pathological tissue and serum samples. The presently developed NPB-based derivatization approach is expected to be essential in the metabolic study of MAG-related diseases.
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http://dx.doi.org/10.1021/acs.analchem.9b00805 | DOI Listing |
Phytopathology
January 2025
Virginia Polytechnic Institute and State University, School of Plant and Environmental Science, Blacksburg, Virginia, United States;
Brief Bioinform
November 2024
Department of Biosciences, Biotechnology and Environment, University of Bari Aldo Moro, Via E. Orabona 4, 70126, Bari, Italy.
The advent of high-throughput sequencing (HTS) technologies unlocked the complexity of the microbial world through the development of metagenomics, which now provides an unprecedented and comprehensive overview of its taxonomic and functional contribution in a huge variety of macro- and micro-ecosystems. In particular, shotgun metagenomics allows the reconstruction of microbial genomes, through the assembly of reads into MAGs (metagenome-assembled genomes). In fact, MAGs represent an information-rich proxy for inferring the taxonomic composition and the functional contribution of microbiomes, even if the relevant analytical approaches are not trivial and still improvable.
View Article and Find Full Text PDFNat Microbiol
January 2025
River Ecosystems Laboratory, Alpine and Polar Environmental Research Center, ENAC, Ecole Polytechnique Fédérale de Lausanne, Sion, Switzerland.
Understanding the community structure of the lower respiratory tract microbiome is crucial for elucidating its roles in respiratory tract diseases. However, there are few studies about this topic due to the difficulty in obtaining microbial samples from both healthy and disease individuals. Here, using 744 high-depth metagenomic sequencing data of lower respiratory tract microbial samples from 675 well-phenotyped pigs, we constructed a lung microbial gene catalog containing the largest scale of 10,031,593 nonredundant genes to date, 44.
View Article and Find Full Text PDFMicrobiome Res Rep
July 2024
Teagasc Food Research Centre, Moorepark, Fermoy, Cork P61 C996, Ireland.
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