Personalized medicine beyond genomics: alternative futures in big data-proteomics, environtome and the social proteome.

作者: Vural Özdemir , Edward S Dove , Ulvi K Gürsoy , Semra Şardaş , Arif Yıldırım

DOI: 10.1007/S00702-015-1489-Y

关键词:

摘要: No field in science and medicine today remains untouched by Big Data, psychiatry is no exception. Proteomics a Data technology next generation biomarker, supporting novel system diagnostics therapeutics psychiatry. is, fact, much older than genomics dates to the 1970s, well before launch of international Human Genome Project. While genome has long been framed as master or "elite" executive molecule cell biology, proteome contrast humble. Yet critical for life-it ensures daily functioning cells whole organisms. In short, proteins are blue-collar workers down-to-earth molecules that we cannot live without. Since 2010, proteomics found renewed meaning attention with Proteome Project growing interest technologies such proteomics. This article presents an interdisciplinary foresight analysis conceptualizes terms "environtome" "social proteome". We define entire complement elements external human host, from microbiome, ambient temperature weather conditions government innovation policies, stock market dynamics, values, political power social norms collectively shape host spatially temporally. The proteome" subset environtome influences transition innovative applications society. encompasses, example, new reimbursement schemes business models depart "once-a-life-time" genotypic tests anticipated hype attendant context time sensitive tests. Building on "nesting principle" governance complex systems discussed Elinor Ostrom, propose here 3-tiered organizational architecture proposed nested structure comprised (a) scientists, (b) ethicists, (c) scholars nascent "ethics-of-ethics", aims cultivate robust personalized medicine. Ostrom often noted designs offer assurance embedded processes distributed evenly not concentrated disproportionately single overbearing stakeholder person. agree this assessment conclude underscoring synergistic value biological proteomes realize full potentials present era Data.

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