Factors influencing metabolite profiles in global Arabica green coffee beans: Impact of continent, altitude, post-harvest processing, and variety.

The metabolites of green coffee beans can be influenced by various factors, including species, variety, geographical origin, and post-harvest processing methods. However, previous studies often focused on limited factors separately and were not comprehensive in scope, utilizing only green coffee beans from a restricted area. To fill the gap, we simultaneously analyzed 176 global green coffee beans (C.

Fecal Microbiome and Urine Metabolome Profiling of Type 2 Diabetes.

Type 2 diabetes is a prevalent metabolic disorder with serious health consequences, necessitating both enhanced diagnostic methodologies and comprehensive elucidation of its pathophysiological mechanisms. We compared fecal microbiome and urine metabolome profiles in type 2 diabetes patients versus healthy controls to evaluate their respective diagnostic potential. Using a cohort of 94 subjects (48 diabetics, 46 controls), this study employed 16S rRNA amplicon sequencing for fecal microbiome analysis and GC-MS for urinary metabolomics.

Effects of total microbiota-containing backslop from 450-day-fermented kimchi on microbe and metabolite dynamics.

This study examines the impact of the complex microbiota from long-term fermented kimchi, used as a backslop, on fermentation dynamics. The fermentation was conducted with autoclaved (group A) and non-autoclaved (NA) starter cultures. Bacterial and fungal communities were analyzed with 16S rRNA gene V4 and ITS2 region, respectively, and metabolites were profiled using gas chromatography-mass spectrometry.

Exploring the Characteristics of Gut Microbiota Associated with Depression via the Depression Assessment Scales.

Depression is a prevalent mental disorder with an increasing economic burden, and its pathogenesis remains poorly understood. Given the emerging evidence linking the gut microbiota to mental health, a better understanding of microbial profiles associated with depression is necessary. Here, we explore the association between gut microbiota and depression by utilizing 16S rRNA amplicon sequencing and depression assessment scales, including the Hamilton Depression Rating Scale (HDRS) and the Beck Depression Inventory (BDI).