Using different molecular omics data, spanning 2-3 years and 106 healthy individuals a study looked into personal aging markers and pathway enrichment analysis to make suggestions of different ‘ageotypes’ existing at an individual level. omics: transcriptomics on peripheral blood mononuclear cells, proteomics/metabolomics on plasma, cytokine assays on serum, nasal and gut microbiome using 16S RNA […]
Dear AgeCurve Users, We have disabled reporting oral microbiome features within the AgeCurve App due to the following reasons: We have always been focusing on reporting deep proteomic aging patterns using expression levels of human proteins and reporting oral microbiome information next to this core information has been confusing for many users. Basically we have […]
AgeCurve App users know that our application delivers the individual oral microbiome too. We are talking about hundreds of, mostly harmless, bacterial species, the permanent guests of a particular human oral cavity. What’s more, within the AgeCurve App you can even check the actual bacterial proteins those bacteria produce and their relative quantities in your sample. […]
Earlier we have compared the AgeCurve style first-to-market personal proteome kit to personal genome and personal microbiome services. Today we highlight and explain one big difference implicit in those comparisons. For this we need to introduce the term holobiont: holobionts are units of biological organisations composed of the host organism and its associated microbes. The prefix holo- […]
Although AgeCurve is opening a new niche market in digital health by offering age focused personal proteome services with Gen P, it builds upon the decade long progress made by other companies in the personal omics field. Big thank for those companies for creating that market at all and nurturing it with different innovations. In Differences […]
Gen P measures proteins by relative abundance and so far we have talked about the most abundant human proteins and top bacterial proteins in our Private Beta samples. It’s time to name the top detected bacteria to date forming a core part of the oral microbiome.