Systems medicine

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Systems medicine is an interdisciplinary field of study that looks at the systems of the human body as part of an integrated whole, incorporating biochemical, physiological, and environment interactions. Systems medicine draws on systems science and systems biology, and considers complex interactions within the human body in light of a patient's genomics, behavior and environment. [1]

Contents

The earliest uses of the term systems medicine appeared in 1992, in an article on systems medicine and pharmacology by T. Kamada. [2]

An important topic in systems medicine and systems biomedicine is the development of computational models that describe disease progression and the effect of therapeutic interventions. [3] [4]

More recent approaches include the redefinition of disease phenotypes based on common mechanisms rather than symptoms. These provide then therapeutic targets including network pharmacology [5] and drug repurposing. [6] Since 2018, there is a dedicated scientific journal, Systems Medicine. [7]

Fundamental schools of systems medicine

Essentially, the issues dealt with by systems medicine can be addressed in two basic ways, molecular (MSM) and organismal systems medicine (OSM): [8] [9]

Molecular systems medicine (MSM)

This approach relies on omics technologies (genomics, proteomics, transcriptomics, phenomics, metabolomics etc.) and tries to understand physiological processes and the evolution of disease in a bottom-up strategy, i.e. by simulating, synthesising and integrating the description of molecular processes to deliver an explanation of an organ system or even the organism in its whole.

Organismal systems medicine (OSM)

This branch of systems medicine, going back to the traditions of Ludwig von Bertalanffy's systems theory and biological cybernetics is a top-down strategy that starts with the description of large, complex processing structures (i.e. neural networks, feedback loops and other motifs) and tries to find sufficient and necessary conditions for the corresponding functional organisation on a molecular level.

A common challenge for both schools is the translation between the molecular and the organismal level. This can be achieved e.g. by affine subspace mapping and sensitivity analysis, but also requires some preparative steps on both ends of the epistemic gap. [9]

=== Systems Medicine Education ===

Georgetown University is the first in the Nation to launch a MS program in Systems Medicine. It has developed a rigorous curriculum, The programs have been developed and led by Dr. Sona Vasudevan, PhD.

https://systemsmedicine.georgetown.edu/

List of research groups

CountryUniversity / InstituteDepartment / Center / Program / NetworkParticipants
Austria University of Vienna Centre for Organismal Systems Biology (COSB) [10]
Ireland Royal College of Surgeons in Ireland Medical Systems Biology [11]
Luxembourg Luxembourg Centre for Systems Biomedicine Computational Biology group [12]
Netherlands Eindhoven University of Technology (TU/e)Department of Biomedical Engineering, Computational Biology Group (CBio) [13] Natal van Riel
USA Institute for Systems Biology (ISB) Leroy Hood, Alan Aderem, Ruedi Aebersold
Germany Helmholtz Association of German Research Centres Department of Systems Immunology [14] Esteban Hernandez-Vargas
Netherlands Utrecht University

University Medical Center Utrecht

Maastricht University

Laboratory of Translational Immunology [15]

Utrecht Center for Quantitative Immunology [16]

Pharmacology and Personalised Medicine [17]

Prof. Timothy Radstake,

Dr. Aridaman Pandit

Prof. Harald H.H.W. Schmidt

Israel Weizmann Institute of Science Department of Molecular Cell Biology [18]

Systems Medicine course [19]

Uri Alon [20] [21]
NorwayHaukeland University HospitalNeuro-SysMed [22] Kjell-Morten Myhr, Charalampos Tzoulis

See also

Related Research Articles

<i>In vitro</i> Latin term meaning outside a natural biological environment

In vitro studies are performed with microorganisms, cells, or biological molecules outside their normal biological context. Colloquially called "test-tube experiments", these studies in biology and its subdisciplines are traditionally done in labware such as test tubes, flasks, Petri dishes, and microtiter plates. Studies conducted using components of an organism that have been isolated from their usual biological surroundings permit a more detailed or more convenient analysis than can be done with whole organisms; however, results obtained from in vitro experiments may not fully or accurately predict the effects on a whole organism. In contrast to in vitro experiments, in vivo studies are those conducted in living organisms, including humans, known as clinical trials, and whole plants.

<span class="mw-page-title-main">Physiology</span> Science regarding function of organisms or living systems

Physiology is the scientific study of functions and mechanisms in a living system. As a subdiscipline of biology, physiology focuses on how organisms, organ systems, individual organs, cells, and biomolecules carry out chemical and physical functions in a living system. According to the classes of organisms, the field can be divided into medical physiology, animal physiology, plant physiology, cell physiology, and comparative physiology.

<span class="mw-page-title-main">Pharmacology</span> Branch of biology concerning drugs

Pharmacology is the science of medical drugs and medications, including a substance's origin, composition, pharmacokinetics, therapeutic use, and toxicology. More specifically, it is the study of the interactions that occur between a living organism and chemicals that affect normal or abnormal biochemical function. If substances have medicinal properties, they are considered pharmaceuticals.

<span class="mw-page-title-main">Biophysics</span> Study of biological systems using methods from the physical sciences

Biophysics is an interdisciplinary science that applies approaches and methods traditionally used in physics to study biological phenomena. Biophysics covers all scales of biological organization, from molecular to organismic and populations. Biophysical research shares significant overlap with biochemistry, molecular biology, physical chemistry, physiology, nanotechnology, bioengineering, computational biology, biomechanics, developmental biology and systems biology.

<span class="mw-page-title-main">Computational biology</span> Branch of biology

Computational biology refers to the use of data analysis, mathematical modeling and computational simulations to understand biological systems and relationships. An intersection of computer science, biology, and big data, the field also has foundations in applied mathematics, chemistry, and genetics. It differs from biological computing, a subfield of computer science and engineering which uses bioengineering to build computers.

<span class="mw-page-title-main">Systems biology</span> Computational and mathematical modeling of complex biological systems

Systems biology is the computational and mathematical analysis and modeling of complex biological systems. It is a biology-based interdisciplinary field of study that focuses on complex interactions within biological systems, using a holistic approach to biological research.

Pathophysiology is a branch of study, at the intersection of pathology and physiology, concerning disordered physiological processes that cause, result from, or are otherwise associated with a disease or injury. Pathology is the medical discipline that describes conditions typically observed during a disease state, whereas physiology is the biological discipline that describes processes or mechanisms operating within an organism. Pathology describes the abnormal or undesired condition, whereas pathophysiology seeks to explain the functional changes that are occurring within an individual due to a disease or pathologic state.

Medical cybernetics is a branch of cybernetics which has been heavily affected by the development of the computer, which applies the concepts of cybernetics to medical research and practice. At the intersection of systems biology, systems medicine and clinical applications it covers an emerging working program for the application of systems- and communication theory, connectionism and decision theory on biomedical research and health related questions.

Biomedicine is a branch of medical science that applies biological and physiological principles to clinical practice. Biomedicine stresses standardized, evidence-based treatment validated through biological research, with treatment administered via formally trained doctors, nurses, and other such licensed practitioners.

Systems biomedicine, also called systems biomedical science, is the application of systems biology to the understanding and modulation of developmental and pathological processes in humans, and in animal and cellular models. Whereas systems biology aims at modeling exhaustive networks of interactions, mainly at intra-cellular level, systems biomedicine emphasizes the multilevel, hierarchical nature of the models by discovering and selecting the key factors at each level and integrating them into models that reveal the global, emergent behavior of the biological process under consideration.

<span class="mw-page-title-main">Biological engineering</span> Application of biology and engineering to create useful products

Biological engineering or bioengineering is the application of principles of biology and the tools of engineering to create usable, tangible, economically viable products. Biological engineering employs knowledge and expertise from a number of pure and applied sciences, such as mass and heat transfer, kinetics, biocatalysts, biomechanics, bioinformatics, separation and purification processes, bioreactor design, surface science, fluid mechanics, thermodynamics, and polymer science. It is used in the design of medical devices, diagnostic equipment, biocompatible materials, renewable energy, ecological engineering, agricultural engineering, process engineering and catalysis, and other areas that improve the living standards of societies.

<span class="mw-page-title-main">Lawrence Hunter</span>

Lawrence E. Hunter is a Professor and Director of the Center for Computational Pharmacology and of the Computational Bioscience Program at the University of Colorado School of Medicine and Professor of Computer Science at the University of Colorado Boulder. He is an internationally known scholar, focused on computational biology, knowledge-driven extraction of information from the primary biomedical literature, the semantic integration of knowledge resources in molecular biology, and the use of knowledge in the analysis of high-throughput data, as well as for his foundational work in computational biology, which led to the genesis of the major professional organization in the field and two international conferences.

<span class="mw-page-title-main">Uri Alon</span> Israeli biologist and academic

Uri Alon is a Professor and Systems Biologist at the Weizmann Institute of Science. His highly cited research investigates gene expression, network motifs and the design principles of biological networks in Escherichia coli and other organisms using both computational biology and traditional experimental wet laboratory techniques.

Akhilesh Reddy is a British physician-scientist. He completed the MB/PhD program at the University of Cambridge where he received a PhD from the MRC Laboratory of Molecular Biology. He previously was a Wellcome Trust Senior Fellow in Clinical Sciences at the University of Cambridge and Fellow of St John's College, Cambridge. He is currently an associate professor of pharmacology at the University of Pennsylvania.

Felix Tretter is an Austrian psychologist and psychiatrist. From 1992 to 2014 he was head of the addiction department of the Isar-Amper-Klinikum München-Ost, formerly known as Bezirkskrankenhaus Haar, Bavaria, Germany. His scientific work has emphasis on modelling of psychophysical scenarios in schizophrenia and addiction research with methods of systems science.

<span class="mw-page-title-main">Galit Lahav</span> Israeli-American systems biologist

Galit Lahav is an Israeli-American systems biologist and Professor of Systems Biology at Harvard Medical School. In 2018 she became Chair of the Department of Systems Biology at Harvard Medical School. She is known for discovering the pulsatile behavior of the tumor suppressor protein p53 and uncovering its significance for cell fate, and for her contributions to the culture of mentoring in science. She lives in Boston, Massachusetts.

<span class="mw-page-title-main">M. Madan Babu</span> Indian-American computational biologist

M. Madan Babu is an Indian-American computational biologist and bioinformatician. He is the endowed chair in biological data science and director of the center of excellence for data-driven discovery at St. Jude Children’s Research Hospital. Previously, he served as a programme leader at the MRC Laboratory of Molecular Biology (LMB).

<span class="mw-page-title-main">Konstantinos Drosatos</span> Greek American molecular biologist

Konstantinos Drosatos, born in Athens, Greece, is a Greek-American molecular biologist, who is the Ohio Eminent Scholar and Professor of Pharmacology and Systems Physiology at the University of Cincinnati College of Medicine in Cincinnati, Ohio, U.S. His parents were Georgios Drosatos and Sofia Drosatou; his family originates in Partheni, Euboea, Greece.

<span class="mw-page-title-main">Peter Karl Sorger</span> American cancer biologist (born 1961)

Peter Karl Sorger is a systems and cancer biologist and Otto Krayer Professor of Systems Pharmacology in the Department of Systems Biology at Harvard Medical School. Sorger is the founding head of the Harvard Program in Therapeutic Science (HiTS), director of its Laboratory of Systems Pharmacology (LSP), and co-director of the Harvard MIT Center for Regulatory Science. He was previously a Professor of Biology and Biological Engineering at the Massachusetts Institute of Technology where he co-founded its program on Computational and Systems Biology (CSBi). Sorger is known for his work in the field of systems biology and for having helped launch the field of computational and systems pharmacology. His research focuses on the molecular origins of cancer and approaches to accelerate the development of new medicines. Sorger teaches Principles and Practice of Drug Development at Massachusetts Institute of Technology and Harvard University.

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