From a drop to the ocean: an immersion in individualized medicine

There are currently approximately one hundred biomarkers used in clinical practice, very few (a drop in the ocean) in comparison with the large numbers acclaimed in more than 150,000 scientific papers; intriguingly, most of these promising biomarkers will never become part of routine clinical practice. The ability of high throughput proteomics, metabolomics and other 'omics' platforms to profile a large number of analytes in a single array is increasing the complexity of biomarker validation. This innovation calls for global re-thinking of the role of clinical pathologists in transforming experimental data into clinically available tests. It has become more and more clear that health and disease can only be studied in an outstanding way by using complex systems such as integrative systems biology, systems medicine, and network medicine. In particular metabolomics will contribute to guiding the medicine of the past, towards the medicine of the present and the medicine of the future and perhaps will actually contribute to unveil many mysteries of medicine. The dynamic range of the metabolome is revealed by subjecting the organism to physiological and pathological changes in the state of health: this means that we are quite different from each other and these differences are accentuated when faced with changes, especially if very significant and/or extreme, for example, in cases of fasting or asphyxia. Indeed, in the next few years we will witness a profound change in medicine and healthcare as a result of progresses in technology and the ability to analyze large amounts of data from single patients (Big Data). Only by being aware of complexity and biological variability, by improving our knowledge, by feeding and treating different individuals in different ways, and most of all by better defining the state of health of each individual and his/her resilience, will medicine be in a position to respond in a personalized and customized way (and not approximately and epidemiologically) to the problems of human health. Proceedings of the 9th International Workshop on Neonatology · Cagliari (Italy) · October 23rd-26th, 2013 · Learned lessons, changing practice and cutting-edge research Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Vassilios Fanos [verfasserIn] Michele Mussap [verfasserIn] Antonio Del Vecchio [verfasserIn] Johannes N. Van Den Anker [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch ; Italienisch

Erschienen:	2013

Schlagwörter:	individualized medicine genomics transcriptomics proteomics metabolomics

Übergeordnetes Werk:	In: Journal of Pediatric and Neonatal Individualized Medicine - Hygeia Press di Corridori Marinella, 2014, 2(2013), 2, Seite e020221-e020221
Übergeordnetes Werk:	volume:2 ; year:2013 ; number:2 ; pages:e020221-e020221

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.7363/95

Katalog-ID:	DOAJ056314647

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allfieldsSound	10.7363/95 doi (DE-627)DOAJ056314647 (DE-599)DOAJ98d8388a09944cefb881a7c82167c0cf DE-627 ger DE-627 rakwb eng ita RJ1-570 Vassilios Fanos verfasserin aut From a drop to the ocean: an immersion in individualized medicine 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier There are currently approximately one hundred biomarkers used in clinical practice, very few (a drop in the ocean) in comparison with the large numbers acclaimed in more than 150,000 scientific papers; intriguingly, most of these promising biomarkers will never become part of routine clinical practice. The ability of high throughput proteomics, metabolomics and other 'omics' platforms to profile a large number of analytes in a single array is increasing the complexity of biomarker validation. This innovation calls for global re-thinking of the role of clinical pathologists in transforming experimental data into clinically available tests. It has become more and more clear that health and disease can only be studied in an outstanding way by using complex systems such as integrative systems biology, systems medicine, and network medicine. In particular metabolomics will contribute to guiding the medicine of the past, towards the medicine of the present and the medicine of the future and perhaps will actually contribute to unveil many mysteries of medicine. The dynamic range of the metabolome is revealed by subjecting the organism to physiological and pathological changes in the state of health: this means that we are quite different from each other and these differences are accentuated when faced with changes, especially if very significant and/or extreme, for example, in cases of fasting or asphyxia. Indeed, in the next few years we will witness a profound change in medicine and healthcare as a result of progresses in technology and the ability to analyze large amounts of data from single patients (Big Data). Only by being aware of complexity and biological variability, by improving our knowledge, by feeding and treating different individuals in different ways, and most of all by better defining the state of health of each individual and his/her resilience, will medicine be in a position to respond in a personalized and customized way (and not approximately and epidemiologically) to the problems of human health. Proceedings of the 9th International Workshop on Neonatology · Cagliari (Italy) · October 23rd-26th, 2013 · Learned lessons, changing practice and cutting-edge research individualized medicine genomics transcriptomics proteomics metabolomics Medicine R Pediatrics Michele Mussap verfasserin aut Antonio Del Vecchio verfasserin aut Johannes N. Van Den Anker verfasserin aut In Journal of Pediatric and Neonatal Individualized Medicine Hygeia Press di Corridori Marinella, 2014 2(2013), 2, Seite e020221-e020221 (DE-627)812500520 (DE-600)2803291-3 22810692 nnns volume:2 year:2013 number:2 pages:e020221-e020221 https://doi.org/10.7363/95 kostenfrei https://doaj.org/article/98d8388a09944cefb881a7c82167c0cf kostenfrei https://www.jpnim.com/index.php/jpnim/article/view/95 kostenfrei https://doaj.org/toc/2281-0692 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2 2013 2 e020221-e020221
language	English Italian
source	In Journal of Pediatric and Neonatal Individualized Medicine 2(2013), 2, Seite e020221-e020221 volume:2 year:2013 number:2 pages:e020221-e020221
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abstract	There are currently approximately one hundred biomarkers used in clinical practice, very few (a drop in the ocean) in comparison with the large numbers acclaimed in more than 150,000 scientific papers; intriguingly, most of these promising biomarkers will never become part of routine clinical practice. The ability of high throughput proteomics, metabolomics and other 'omics' platforms to profile a large number of analytes in a single array is increasing the complexity of biomarker validation. This innovation calls for global re-thinking of the role of clinical pathologists in transforming experimental data into clinically available tests. It has become more and more clear that health and disease can only be studied in an outstanding way by using complex systems such as integrative systems biology, systems medicine, and network medicine. In particular metabolomics will contribute to guiding the medicine of the past, towards the medicine of the present and the medicine of the future and perhaps will actually contribute to unveil many mysteries of medicine. The dynamic range of the metabolome is revealed by subjecting the organism to physiological and pathological changes in the state of health: this means that we are quite different from each other and these differences are accentuated when faced with changes, especially if very significant and/or extreme, for example, in cases of fasting or asphyxia. Indeed, in the next few years we will witness a profound change in medicine and healthcare as a result of progresses in technology and the ability to analyze large amounts of data from single patients (Big Data). Only by being aware of complexity and biological variability, by improving our knowledge, by feeding and treating different individuals in different ways, and most of all by better defining the state of health of each individual and his/her resilience, will medicine be in a position to respond in a personalized and customized way (and not approximately and epidemiologically) to the problems of human health. Proceedings of the 9th International Workshop on Neonatology · Cagliari (Italy) · October 23rd-26th, 2013 · Learned lessons, changing practice and cutting-edge research
abstractGer	There are currently approximately one hundred biomarkers used in clinical practice, very few (a drop in the ocean) in comparison with the large numbers acclaimed in more than 150,000 scientific papers; intriguingly, most of these promising biomarkers will never become part of routine clinical practice. The ability of high throughput proteomics, metabolomics and other 'omics' platforms to profile a large number of analytes in a single array is increasing the complexity of biomarker validation. This innovation calls for global re-thinking of the role of clinical pathologists in transforming experimental data into clinically available tests. It has become more and more clear that health and disease can only be studied in an outstanding way by using complex systems such as integrative systems biology, systems medicine, and network medicine. In particular metabolomics will contribute to guiding the medicine of the past, towards the medicine of the present and the medicine of the future and perhaps will actually contribute to unveil many mysteries of medicine. The dynamic range of the metabolome is revealed by subjecting the organism to physiological and pathological changes in the state of health: this means that we are quite different from each other and these differences are accentuated when faced with changes, especially if very significant and/or extreme, for example, in cases of fasting or asphyxia. Indeed, in the next few years we will witness a profound change in medicine and healthcare as a result of progresses in technology and the ability to analyze large amounts of data from single patients (Big Data). Only by being aware of complexity and biological variability, by improving our knowledge, by feeding and treating different individuals in different ways, and most of all by better defining the state of health of each individual and his/her resilience, will medicine be in a position to respond in a personalized and customized way (and not approximately and epidemiologically) to the problems of human health. Proceedings of the 9th International Workshop on Neonatology · Cagliari (Italy) · October 23rd-26th, 2013 · Learned lessons, changing practice and cutting-edge research
abstract_unstemmed	There are currently approximately one hundred biomarkers used in clinical practice, very few (a drop in the ocean) in comparison with the large numbers acclaimed in more than 150,000 scientific papers; intriguingly, most of these promising biomarkers will never become part of routine clinical practice. The ability of high throughput proteomics, metabolomics and other 'omics' platforms to profile a large number of analytes in a single array is increasing the complexity of biomarker validation. This innovation calls for global re-thinking of the role of clinical pathologists in transforming experimental data into clinically available tests. It has become more and more clear that health and disease can only be studied in an outstanding way by using complex systems such as integrative systems biology, systems medicine, and network medicine. In particular metabolomics will contribute to guiding the medicine of the past, towards the medicine of the present and the medicine of the future and perhaps will actually contribute to unveil many mysteries of medicine. The dynamic range of the metabolome is revealed by subjecting the organism to physiological and pathological changes in the state of health: this means that we are quite different from each other and these differences are accentuated when faced with changes, especially if very significant and/or extreme, for example, in cases of fasting or asphyxia. Indeed, in the next few years we will witness a profound change in medicine and healthcare as a result of progresses in technology and the ability to analyze large amounts of data from single patients (Big Data). Only by being aware of complexity and biological variability, by improving our knowledge, by feeding and treating different individuals in different ways, and most of all by better defining the state of health of each individual and his/her resilience, will medicine be in a position to respond in a personalized and customized way (and not approximately and epidemiologically) to the problems of human health. Proceedings of the 9th International Workshop on Neonatology · Cagliari (Italy) · October 23rd-26th, 2013 · Learned lessons, changing practice and cutting-edge research
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The ability of high throughput proteomics, metabolomics and other 'omics' platforms to profile a large number of analytes in a single array is increasing the complexity of biomarker validation. This innovation calls for global re-thinking of the role of clinical pathologists in transforming experimental data into clinically available tests. It has become more and more clear that health and disease can only be studied in an outstanding way by using complex systems such as integrative systems biology, systems medicine, and network medicine. In particular metabolomics will contribute to guiding the medicine of the past, towards the medicine of the present and the medicine of the future and perhaps will actually contribute to unveil many mysteries of medicine. The dynamic range of the metabolome is revealed by subjecting the organism to physiological and pathological changes in the state of health: this means that we are quite different from each other and these differences are accentuated when faced with changes, especially if very significant and/or extreme, for example, in cases of fasting or asphyxia. Indeed, in the next few years we will witness a profound change in medicine and healthcare as a result of progresses in technology and the ability to analyze large amounts of data from single patients (Big Data). Only by being aware of complexity and biological variability, by improving our knowledge, by feeding and treating different individuals in different ways, and most of all by better defining the state of health of each individual and his/her resilience, will medicine be in a position to respond in a personalized and customized way (and not approximately and epidemiologically) to the problems of human health. Proceedings of the 9th International Workshop on Neonatology · Cagliari (Italy) · October 23rd-26th, 2013 · Learned lessons, changing practice and cutting-edge research</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">individualized medicine</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">genomics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">transcriptomics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">proteomics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">metabolomics</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Medicine</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">R</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Pediatrics</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Michele Mussap</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Antonio Del Vecchio</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Johannes N. 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