biocrates blog
Applications of metabolomics
Kynurenine metabolites mediate neuromuscular dysfunction
Accumulation of neurotoxic kynurenine metabolites with aging represents the mechanism of neuromuscular defects linking chronic inflammation to physical frailty.
Metabolic interaction of COVID-19 and metabolic diseases
It is well established that within the context of infectious diseases, both host and pathogen impact each other’s metabolism. Viral diseases, such as COVID-19, perfectly exemplify this, as the virus hijacks host cells in order to survive and replicate.
Kynurenine – Metabolite of the month
Kynurenine is a tryptophan-derived metabolite at the crossroads between neurology, immunology and cancer
Machine learning for ALS progression biomarker discovery
How to combine targeted metabolomics and machine learning algorithms to identify biomarkers associated with ALS disease progression.
Bile acids and newborn’s gut microbiota maturation
The maturation of the newborn´s microbiome is critically dependent on bile acids from liver and can be manipulated by administration of bile acids in mice.
Circulating metabolites predict coronary heart disease risk
Serum metabolites were associated with risk of coronary heart disease in a population-based cohort, with a comparable strength to classic risk factors.
Carnitine – Metabolite of the month
Metabolite of the month is your sneak peek into the world of metabolomics. This month we look at carnitine #loveyourmetabolites
Elevated serum bile acid levels contribute to NASH-HCC
Higher serum bile acid levels and an altered gut microbiome contribute to fibrogenesis, liver injury, and tumorigenesis in cirrhotic and noncirrhotic NASH-HCC.
Mitochondria’s role in clinical depression
What does brain activity look like after anti-depressant treatment and what is the basis for prescribing serotonin re-uptake inhibitors in the first place?
Gut microbiota and statins
Metabolomics and 16S rRNA profiling uncover the crosstalk between gut microbiota and statins efficacy that can hide behind inter-individual variability.