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Metabolic profiling is a valuable tool for elucidating the biochemical pathways and key metabolites involved in the health benefits associated with microbial fermentation. In this study, we investigated the metabolic changes occurring during the fermentation of lettuce leaves by , a widely studied bacterium known for its diverse metabolic capabilities. Through non-targeted metabolic profiling, we identified and characterized metabolites that may contribute to the beneficial effects of fermented lettuce. Using gas chromatography-mass spectrometry (GC/MS), we identified 54 metabolites in the fermented lettuce samples. Additionally, we elucidated the alterations in metabolite profiles during the bioconversion of lettuce using . Notably, 11,14-eicosadienoic acid, 13-docosenoic acid, and oleic acid were either produced or enriched during bioconversion, were identified as potential contributors to the enhanced nutritional and bioactive properties of fermented lettuce. This study underscores the potential of metabolic profiling to uncover the metabolic pathways and specific metabolites associated with health benefits in fermented foods. These findings pave the way for developing functional foods with improved nutritional value and bioactivity.
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http://dx.doi.org/10.4014/jmb.2501.01026 | DOI Listing |
J Clin Invest
September 2025
The University of Texas at Austin, Austin, United States of America.
Background: Following SARS-CoV-2 infection, ~10-35% of COVID-19 patients experience long COVID (LC), in which debilitating symptoms persist for at least three months. Elucidating biologic underpinnings of LC could identify therapeutic opportunities.
Methods: We utilized machine learning methods on biologic analytes provided over 12-months after hospital discharge from >500 COVID-19 patients in the IMPACC cohort to identify a multi-omics "recovery factor", trained on patient-reported physical function survey scores.
Metabolomics
September 2025
Laboratoire de Biochimie et Biologie Moléculaire, Centre Hospitalier Universitaire, Angers, France.
Introduction: The definition of Leber's hereditary optic neuropathy (LHON) does not take into account a preclinical phase during which the thickness of retinal nerve fiber layer (RNFL) is increased, prior to optic nerve atrophy, reducing the chances of visual recovery.
Objectives: Search for a metabolomic signature characterizing this preclinical phase and identify biomarkers predicting the risk of LHON onset.
Methods And Results: The blood and tear metabolomic profiles of 90 asymptomatic LHON mutation carriers followed for one year will be explored as a function of RNFL thickness and compared to those of a healthy control.
Metabolomics
September 2025
Department of Biochemistry, University of Oxford, South Parks Road, Oxford, OX1 3QU, UK.
Introduction: Knockout of the Fmo5 gene in mice led to a lean, slow-ageing phenotype characterised by the presence of 2,3-butanediol isomers in their urine and plasma. Oral treatment of wildtype mice with 2,3-butanediol led to a low cholesterol, low epididymal fat phenotype.
Objectives: Determine if significant, heterozygous coding variations in human FMO5 would give rise to similar clinical and metabolic phenotypes in humans, as in C57BL/6J mice with knockout of the Fmo5 gene and in particular, increased excretion of 2,3-butanediol.
Curr Microbiol
September 2025
Department of Health Sciences, Università del Piemonte Orientale UPO, Corso Trieste 15/A, 28100, Novara, Italy.
A Python-scripted software tool has been developed to help study the heterogeneity of gene changes, markedly or moderately expressed, when several experimental conditions are compared. The analysis workflow encloses a scorecard that groups genes based on relative fold-change and statistical significance, providing additional functions that facilitate knowledge extraction. The scorecard reports highlight unique patterns of gene regulation, such as genes whose expression is consistently up- or down-regulated across experiments, all of which are supported by graphs and summaries to characterize the dataset under investigation.
View Article and Find Full Text PDFNaunyn Schmiedebergs Arch Pharmacol
September 2025
Department of Hematology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, China.
Immune checkpoint inhibitors (ICIs) have revolutionized cancer therapy but are increasingly linked to immune-related kidney injury (irKI). This study presents the first bibliometric analysis of irKI research (2000-2025), aiming to identify key trends, mechanistic insights, and pharmacological risk factors. We analyzed 2,179 publications to understand the evolution of irKI research, focusing on areas like T cell-mediated tubular injury, immune system-driven inflammation, and changes in metabolism.
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