Publications by authors named "Jayson M Antonio"

The human gut microbiome plays a crucial role in regulating intestinal and systemic health, impacting host immune response and metabolic function. Dysbiosis of the gut microbiome is linked to various diseases, including steatotic liver diseases. Metabolic dysfunction-associated steatotic liver disease (MASLD), a chronic liver disease characterized by excess hepatic lipid content and impaired metabolism, is the leading cause of liver disease worldwide.

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Ruminococcus gnavus is a mucolytic commensal bacterium whose increased gut colonization has been associated with chronic inflammatory and metabolic diseases in humans. Whether R. gnavus metabolites can modulate host intestinal physiology remains largely understudied.

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Background & Aims: Lacticaseibacillus rhamnosus GG (LGG) is the world's most consumed probiotic but its mechanism of action on intestinal permeability and differentiation along with its interactions with an essential source of signaling metabolites, dietary tryptophan (trp), are unclear.

Methods: Untargeted metabolomic and transcriptomic analyses were performed in LGG monocolonized germ-free mice fed trp-free or -sufficient diets. LGG-derived metabolites were profiled in vitro under anaerobic and aerobic conditions.

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Article Synopsis
  • The study explores how the intestinal microbiota influences susceptibility to obesity, particularly focusing on the probiotic Lacticaseibacillus rhamnosus GG (LGG) and its relationship with tryptophan (trp) in diet-induced weight gain.
  • Researchers used germ-free mice to investigate the effects of LGG in trp-free and trp-sufficient diets, finding that LGG enhances fatty acid metabolism and β-oxidation when trp is present.
  • Utilizing advanced techniques like metabolomics and RNA sequencing, the study developed a correlation analysis tool to identify metabolites related to LGG and trp that influence metabolic gene expression, paving the way for future research on microbiota interactions.
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Glioblastomas (GBMs) are characterized by four subtypes, proneural (PN), neural, classical, and mesenchymal (MES) GBMs, and they all have distinct activated signaling pathways. Among the subtypes, PN and MES GBMs show mutually exclusive genetic signatures, and the MES phenotype is, in general, believed to be associated with more aggressive features of GBM: tumor recurrence and drug resistance. Therefore, targeting MES GBMs would improve the overall prognosis of patients with fatal tumors.

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