Dataset Information

R_OM_Metapyo_32_CF_patients_HILIC_neg

ABSTRACT: idem R_OM_Metapyo_32_CF_patients_C18_pos we analyzed the metabolome content by untargeted HPLC/HRMS (see supplementary information). Isolates were first grown in synthetic CF medium 2 (SCFM2), a culture medium designed to mimick the nutritional conditions in CF pulmonary mucus (Turner et al. 2014). Intracellular metabolic extracts of mid-log cultures were harvested by fast-filtration and mechanical lysis, and the contents were normalized to a constant colony-forming units over optical density at 595 nm ratio (CFU/DO), as described by Aros-Calt et al. (Aros-Calt et al. 2019). Metabolomics analysis were performed using two complementary HPLC/HRMS methods to optimize chemical coverage, and data were processed and normalized following the most up-to-date methods

INSTRUMENT(S): Q Exactive

ORGANISM(S): Pseudomonas Aeruginosa

SUBMITTER: audrey LE GOUELLEC

PROVIDER: MSV000084791 | MassIVE | Fri Jan 10 12:28:00 GMT 2020

REPOSITORIES: MassIVE

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Publications

Metabotypes of Pseudomonas aeruginosa Correlate with Antibiotic Resistance, Virulence and Clinical Outcome in Cystic Fibrosis Chronic Infections.

Moyne Oriane O Castelli Florence F Bicout Dominique J DJ Boccard Julien J Camara Boubou B Cournoyer Benoit B Faudry Eric E Terrier Samuel S Hannani Dalil D Huot-Marchand Sarah S Léger Claire C Maurin Max M Ngo Tuan-Dung TD Plazy Caroline C Quinn Robert A RA Attree Ina I Fenaille François F Toussaint Bertrand B Le Gouëllec Audrey A

Metabolites 20210121 2

Pseudomonas aeruginosa (P.a) is one of the most critical antibiotic resistant bacteria in the world and is the most prevalent pathogen in cystic fibrosis (CF), causing chronic lung infections that are considered one of the major causes of mortality in CF patients. Although several studies have contributed to understanding P.a within-host adaptive evolution at a genomic level, it is still difficult to establish direct relationships between the observed mutations, expression o ...[more]

PMID: 33494144

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Project description:Advanced Glycation End-Products (AGEs) are a heterogeneous group of compounds resulting from the non-enzymatic condensation between reducing sugars and amino groups, primarily lysine and arginine moieties (Perrone et al., 2020). The in vivo glycation of proteins is part of normal metabolism, but pathological implications, as well as molecular aging (e.g. protein conformation changes, inflammaging), have been associated with its occurrence (Briceno Noriega et al., 2022). In addition to the important deleterious effects of the endogenous formation of AGEs, the amount acquired from the diet is the subject of concern. In industrial or household cooking processes, the development of appealing aromas, flavors, and colors goes hand-in-hand with the formation of dietary AGEs (dAGEs) (Lund & Ray, 2017). It is well documented that thermally processed foods are a key dietary source of these neo-formed compounds, and high exposure to dAGEs has been associated with the pathogenesis of chronic non-communicable diseases (e.g. diabetes, obesity, and heart failure) (Clarke et al., 2016). Endogenous and dAGEs are thought to exert their pro-inflammatory and pro-oxidative effects at least in part through binding with the Receptor for Advanced Glycation End-products (RAGE) (Nogueira Silva Lima et al., 2021). Our goal here was to compare the efficiency of different reducing agents and carbonyl compounds for dCML fortification of bovine serum albumin (BSA) using a novel combination of quantitative and qualitative methods. Isotope-dilution, high-performance liquid chromatography with tandem mass spectrometric detection (HPLC-MS/MS), western-blot, fluorescence, and proteomics analyses using matrix-assisted laser desorption ionization with time-of-flight MS (MALDI-TOF) and LC with high-resolution MS (LC-HRMS) were all employed to provide an extensive characterization of the possible modifications of BSA promoted by different carbonyl compounds. We further studied the efficiency of the incorporation of protein-bound dCML into mouse feed pellets, their stability over different storage periods, as well as clearance of dCML in mouse feces.

Dataset Information

R_OM_Metapyo_32_CF_patients_HILIC_neg

Dataset's files

Publications

Metabotypes of <i>Pseudomonas aeruginosa</i> Correlate with Antibiotic Resistance, Virulence and Clinical Outcome in Cystic Fibrosis Chronic Infections.

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