There are strong evidences that probiotics influence the immune status of the host, in a strain-specific manner, acting in the gastrointestinal tract. On the hypothesis that certain extracellular proteins and peptides from gut bacteria may mediate part of this immunomodulation and assuming they are able to diffuse through the mucus layer and interact with immune cells we have developed this work. Our study attempts to understand the immunomodulatory mechanisms of (i) Pext, the extracellular protein fraction of DSM20079, (ii) HM14, a peptide encrypted in an extracellular glycoside hydrolase from NCIMB 8809 and (iii) O111:B4 lipopolysaccharide (LPS), a well-known pro-inflammatory molecule, over human peripheral blood mononuclear cells (PBMCs). An untargeted LC-ESI-QTOF-MS metabolomics approach was applied to reveal intracellular changes in treated-PBMCs isolated from healthy donors. Differences in NADH arrest, NAD concentration reduction, as well as increases in palmitic acid and methanephrin were observed in HM14 and Pext treated-cells compared to those stimulated with LPS. This would support an anti-inflammatory molecular mechanism of action of such proteinaceous molecules. Moreover, this methodology has confirms the importance of metabolomics approaches to better understanding immune cell responses to gut bacterial-derived molecules.
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http://dx.doi.org/10.3389/fmicb.2018.02701 | DOI Listing |
The oleaginous yeast is recognized for its remarkable lipid accumulation under nitrogen-limited conditions. However, precise control of microbial lipid production in remains challenging due to the complexity of nutrient media. We developed a two-stage fed-batch fermentation process using a well-defined synthetic medium in a 5-L bioreactor.
View Article and Find Full Text PDFToxicol Rep
June 2025
National Research Center, Therapeutic Chemistry Department, Al Bohouth Street, Egypt.
Resistance of cancer cells, especially breast cancer, to therapeutic medicines represents a major clinical obstacle that impedes the stages of treatment. Carcinoma cells that acquire resistance to therapeutic drugs can reprogram their own metabolic processes as a way to overcome the effectiveness of treatment and continue their reproduction processes. Despite the recent developments in medical research in the field of drug resistance, which showed some explanations for this phenomenon, the real explanation, along with the ability to precisely predict the possibility of its occurrence in breast cancer cells, still necessitates a deep consideration of the dynamics of the tumor's response to treatment.
View Article and Find Full Text PDFJ Transl Med
January 2025
Department of Endocrinology, Diabetology and Metabolism, Lausanne University Hospital, Avenue de la Sallaz 8, CH-1011, Lausanne, Switzerland.
Background: Obesity is associated with varying degrees of metabolic dysfunction. In this study, we aimed to discover markers of the severity of metabolic impairment in men with obesity via a multiomics approach.
Methods: Thirty-two morbidly men with obesity who were candidates for Roux-en-Y gastric bypass (RYGB) surgery were prospectively followed.
BMC Pregnancy Childbirth
January 2025
Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetrics and Gynecology, Peking University Third Hospital, Peking University Third Hospital), National Center for Healthcare Quality Management in Obstetrics, Beijing, 100191, China.
Background: Postpartum hemorrhage (PPH) is the leading cause of maternal mortality worldwide, with uterine atony accounting for approximately 70% of PPH cases. However, there is currently no effective prediction method to promote early management of PPH. In this study, we aimed to screen for potential predictive biomarkers for atonic PPH using combined omics approaches.
View Article and Find Full Text PDFMethods Mol Biol
January 2025
Natural Products Lab, Institute of Biology, Leiden University, Leiden, The Netherlands.
Identifying metabolites in NMR-based plant metabolomics is challenging due to the complexity of plant metabolites. This complexity stems from the abundance and diverse chemical properties of compounds, which vary in concentration across plant specimens. Additionally, the lack of automated identification software complicates the analysis process.
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