Patient Profiling and Subtyping
Most diseases have complex and changing phenotypes, complicating patient profiling and disease subtypes, often requiring multi-analytes. The task is more complex when considering the significant number of structural and positional isomers for many metabolites and many more lipids. Human biodiversity, microbial diversity, lifestyles all heavily influence patient profiling. At HMT with our multiple platform analysis, 6 to 7 orders of magnitude analysis, metabolite functional assignment (food intake markers, contaminates, exposome, microbial, endogenous) allows us to take a deep dive into patient diversity and deliver on subtype analysis for disease progression and responding population. The minimum number of patients per cohort depends upon random sampling of the population and factors that may better define the cohort (BMI, co-morbidities, Age, gender etc.). As normal, our statistical analysis starts with a quality assessment for samples that may have platelet contamination, hemolysis, long term storage markers or temperature altered metabolites to flag certain samples or metabolites that may influence results.