Abstract
No field in science and medicine today remains untouched by Big Data, and psychiatry is no exception. Proteomics is a Big Data technology and a next generation biomarker, supporting novel system diagnostics and therapeutics in psychiatry. Proteomics technology is, in fact, much older than genomics and dates to the 1970s, well before the launch of the international Human Genome Project. While the genome has long been framed as the master or “elite” executive molecule in cell biology, the proteome by contrast is humble. Yet the proteome is critical for life—it ensures the daily functioning of cells and whole organisms. In short, proteins are the blue-collar workers of biology, the down-to-earth molecules that we cannot live without. Since 2010, proteomics has found renewed meaning and international attention with the launch of the Human Proteome Project and the growing interest in Big Data technologies such as proteomics. This article presents an interdisciplinary technology foresight analysis and conceptualizes the terms “environtome” and “social proteome”. We define “environtome” as the entire complement of elements external to the human host, from microbiome, ambient temperature and weather conditions to government innovation policies, stock market dynamics, human values, political power and social norms that collectively shape the human host spatially and temporally. The “social proteome” is the subset of the environtome that influences the transition of proteomics technology to innovative applications in society. The social proteome encompasses, for example, new reimbursement schemes and business innovation models for proteomics diagnostics that depart from the “once-a-life-time” genotypic tests and the anticipated hype attendant to context and time sensitive proteomics tests. Building on the “nesting principle” for governance of complex systems as discussed by Elinor Ostrom, we propose here a 3-tiered organizational architecture for Big Data science such as proteomics. The proposed nested governance structure is comprised of (a) scientists, (b) ethicists, and (c) scholars in the nascent field of “ethics-of-ethics”, and aims to cultivate a robust social proteome for personalized medicine. Ostrom often noted that such nested governance designs offer assurance that political power embedded in innovation processes is distributed evenly and is not concentrated disproportionately in a single overbearing stakeholder or person. We agree with this assessment and conclude by underscoring the synergistic value of social and biological proteomes to realize the full potentials of proteomics science for personalized medicine in psychiatry in the present era of Big Data.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.References
Al Awam K, Haußleiter IS, Dudley E, Donev R, Brüne M, Juckel G, Thome J (2015) Multiplatform metabolome and proteome profiling identifies serum metabolite and protein signatures as prospective biomarkers for schizophrenia. J Neural Transm 122(Suppl 1):S111–S122
Anderson NG, Matheson A, Anderson NL (2001) Back to the future: the human protein index (HPI) and the agenda for post-proteomic biology. Proteomics 1:3–12
Bourdieu P, Wacquant L (1992) Invitation to reflexive sociology. Chicago University Press, Chicago
Calimlioglu B, Karagoz K, Sevimoglu T, Kilic E, Gov E, Arga KY (2015) Tissue-specific molecular biomarker signatures of type 2 diabetes: an integrative analysis of transcriptomics and protein–protein interaction data. OMICS 19(9):563–573
Collingridge D (1980) The social control of technology. St. Martin’s Press, New York
De Vries R (2004) How can we help? From ‘sociology in’ bioethics to ‘sociology of’ bioethics. J Law Med Ethics 32:279–292
Diderot D (1988) Supplément au voyage de Bougainville. Jimack P (trans). Grant & Cutler, London
Dimitrakopoulou K, Dimitrakopoulos GN, Sgarbas KN, Bezerianos A (2014) Tamoxifen integromics and personalized medicine: dynamic modular transformations underpinning response to tamoxifen in breast cancer treatment. OMICS 2014 18:15–33
Domschke K, Müller DJ, Serretti A (2015) Personalized therapies in psychiatry: promises, pitfalls and perspectives. J Neural Transm (Vienna) 122(1):1–3
Dove ES, Özdemir V (2014) The epiknowledge of socially responsible innovation. EMBO Rep 15:462–463
Dove ES, Özdemir V (2015) What role for law, human rights, and bioethics in an age of Big Data, consortia science, and consortia ethics? The importance of trustworthiness. Laws 4(3):515–540. http://www.mdpi.com/2075-471X/4/3/515. Accessed 18 Nov 2015
Ghidoni R, Paterlini A, Benussi L (2013) Translational proteomics in Alzheimer’s disease and related disorders. Clin Biochem 46(6):480–486
Haffeld J, Siem H (2013) The post-2015 agenda: complexity theory-based governance of the global health system in the era of postgenomics and personalized medicine. Curr Pharmacogenomics Person Med 11:309–311
Higdon R, Earl RK, Stanberry L, Hudac CM, Montague E, Stewart E, Janko I, Choiniere J, Broomall W, Kolker N, Bernier RA, Kolker E (2015) The promise of multi-omics and clinical data integration to identify and target personalized healthcare approaches in autism spectrum disorders. OMICS 19(4):197–208
Hogan JM, Higdon R, Kolker E (2006) Experimental standards for high-throughput proteomics. OMICS 10(2):152–157
Jain A, Rakhi NK, Bagler G (2015) Analysis of food pairing in regional cuisines of India. PLoS ONE 10(10):e0139539
Jehmlich N, Dinh KH, Gesell-Salazar M, Hammer E, Steil L, Dhople VM, Schurmann C, Holtfreter B, Kocher T, Völker U (2013) Quantitative analysis of the intra- and inter-subject variability of the whole salivary proteome. J Periodontal Res 48(3):392–403
Kasthuri RS, Verneris MR, Ibrahim HN, Jilma B, Nelsestuen GL (2006) Studying multiple protein profiles over time to assess biomarker validity. Expert Rev Proteomics 3(4):455–464
López JL, Lunau J (2012) ELSIfication in Canada: legal modes of reasoning. Sci Cult 21:77–99
Ma Y, Sun Z, de Matos R, Zhang J, Odunsi K, Lin B (2014) Towards an animal model of ovarian cancer: cataloging chicken blood proteins using combinatorial peptide ligand libraries coupled with shotgun proteomic analysis for translational research. OMICS 18(5):280–297
McCarty MF, Barroso-Aranda J, Contreras F (2009) Regular thermal therapy may promote insulin sensitivity while boosting expression of endothelial nitric oxide synthase—effects comparable to those of exercise training. Med Hypotheses 73(1):103–105
McNally R (2005) Sociomics! Using the IssueCrawler to map, monitor and engage with the global proteomics research network. Proteomics 5(12):3010–3016
Mehta SM, Banerjee SM, Chowdhary AS (2015) Postgenomics biomarkers for rabies—the next decade of proteomics. OMICS 19(2):67–79
Miles I (2010) The development of technology foresight: a review. Technol Forecast Soc Chang 77(9):1448–1456
Ostrom E (1990) Governing the commons: the evolution of institutions for collective action. Cambridge University Press, Cambridge
Ostrom E (1999) Coping with tragedies of the commons. Annu Rev Polit Sci 2:493–535
Özdemir V (2014) Personalized medicine across disciplines and without borders. Vural Özdemir speaks to Hannah Wilson, Commissioning Editor. Per Med 11(7):687–691. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4481090/. Accessed 18 Nov 2015
Ozdemir V, Endrenyi L, Aynacıoğlu S, Bragazzi NL, Dandara C, Dove ES et al (2014) Bernard Lerer: recipient of the 2014 inaugural Werner Kalow responsible innovation prize in global omics and personalized medicine (Pacific Rim Association for clinical pharmacogenetics). OMICS 18(4):211–221
Özdemir V, Faris J, Srivastava S (2015a) Crowdfunding 2.0: the next generation philanthropy. A new approach for philanthropists and citizens to co-fund disruptive innovation in global health. EMBO Rep 16(3):267–271
Özdemir V, Kılıç H, Yıldırım A et al (2015b) A code of ethics for ethicists: what would Pierre Bourdieu say? “Do not misuse social capital in the age of consortia ethics”. Am J Bioethics 15(5):64–67
Patel S (2014) Role of proteomics in biomarker discovery: prognosis and diagnosis of neuropsychiatric disorders. Adv Protein Chem Struct Biol 94:39–75
Pavlidis C, Lanara Z, Balasopoulou A, Nebel JC, Katsila T, Patrinos GP (2015) Meta-analysis of genes in commercially available nutrigenomic tests denotes lack of association with dietary intake and nutrient-related pathologies. OMICS 19(9):512–520
Petersen A (2013) From bioethics to a sociology of bio-knowledge. Soc Sci Med 98:264–270
Ravetz JR (1971) Scientific knowledge and its social problems. Clarendon Press, Oxford
Reddy PJ, Ray S, Srivastava S (2015) The quest of the human proteome and the missing proteins: digging deeper. OMICS 19(5):276–282
Sclove RE (1989) From alchemy to atomic war: Frederick Soddy’s “Technology Assessment” of Atomic Energy, 1900–1915. Sci Technol Human Values 14(2):163–194
Sokolowska I, Ngounou Wetie AG, Wormwood K, Thome J, Darie CC, Woods AG (2015) The potential of biomarkers in psychiatry: focus on proteomics. J Neural Transm (Vienna) 122(Suppl 1):S9–S18
Taleb NN (2010) The black swan: the impact of the highly improbable, 2nd edn. Random House, New York
Thoreau F, Delvenne P (2012) Have STS fallen into a political void? Depoliticisation and engagement in the case of nanotechnologies. Politica Sociedade 11:205–226
Wood SL, Knowles MA, Thompson D, Selby PJ, Banks RE (2013) Proteomic studies of urinary biomarkers for prostate, bladder and kidney cancers. Nat Rev Urol 10(4):206–218
Zhao F, Chen Y, Ge S, Yu X, Shao S, Black M, Wang Y, Zhang J, Song M, Wang W (2014) A quantitative analysis of the mass media coverage of genomics medicine in china: a call for science journalism in the developing world. OMICS 18(4):222–230
Acknowledgments
Supported by an interdisciplinary career investigator award from the Scientific and Technological Research Council of Turkey (TÜBİTAK 2232 Program) to Vural Özdemir. The analysis is independent views of the authors and do not necessarily reflect the position of their affiliated institutions or the funders. The concepts of environtome and social proteome were conceptualized and coined by V.Ö. The authors thank the anonymous peer-reviewers for constructive critique. Edward S. Dove acknowledges the Wellcome Trust Senior Investigator Award entitled “Confronting the Liminal Spaces of Health Research Regulation”, Award No: WT103360MA, PI: Graeme Laurie.
Author information
Authors and Affiliations
Corresponding author
Appendices
BOX 1: The missing concept and examples of the “social proteome” to enable the next generation personalized medicine in psychiatry
The social proteome refers to the societal aspects of proteomics science and technology, including the presence of a highly porous boundary between proteomics technology and society, and the two-way exchange and interaction between proteomics science and social systems.
The social proteome, encompasses, for example, new reimbursement schemes and business innovation models to govern the emerging proteomics diagnostics that depart from the “once-a-life-time” genotypic tests, the biotech industry that may have an enthusiastic uptake for dynamic ongoing proteomics testing instead of the single measure genotype based diagnostics, and the anticipated hype attendant to context and time sensitive proteomics Big Data.
Box 2: The concept of “environtome” for the next generation personalized medicine in psychiatry
The environtome refers to the entire complement of elements external to the human host, from microbiome, ambient temperature and weather conditions to government innovation policies, stock market dynamics, human values, political power and social norms that collectively shape the human host spatially and temporally. The social proteome is a subset of the environtome that enacts on the biological proteome (and vice versa) and thus is critical to translating proteomics technology to innovation in psychiatry.
Rights and permissions
About this article
Cite this article
Özdemir, V., Dove, E.S., Gürsoy, U.K. et al. Personalized medicine beyond genomics: alternative futures in big data—proteomics, environtome and the social proteome. J Neural Transm 124, 25–32 (2017). https://doi.org/10.1007/s00702-015-1489-y
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00702-015-1489-y