Skip to main content

Table 3 Ends of Systems Medicine in the literature

From: Applying systems biology to biomedical research and health care: a précising definition of systems medicine

enables the personalization of diagnosis, prognosis and treatment helps to re-define clinical phenotypes to discover new diagnostic and prognostic biomarkers to guide the design of new clinical trials
accurately predict sensitivity of an individual tumor to a drug or drug combination
to generate genomics informed personalized therapeutic regimes with higher efficacy
assist in designing personalized cancer therapy treatments with expected effectiveness significantly higher than current standard of care approaches
to deliver P4 and precision medicine in the future. This will enable introduction of individualized tailored prevention and/or treatment strategies
to understand the critical points of health maintanance and prevent disease development
to aid understanding of the nonpulmonary determinants of heterogeneity in the common and debiliating condition of chronic obstructive pulmonary disease (COPD)
identify clinically important molecular targets for diagnostic and therapeutic measures against such a condition influencing the course of medical conditions to produce exquisite datasets that are employed to generate pathway models and treatment and will hopefully directly contribute to stratified medicine en-route to personalized healthcare
The application of systems biology for more effective and clinically applicable research outcomes
links disease-associated genes to the phenotypes they produce, a key goal within systems medicine.
a particular attention to clinical applications, including clinical Bioinformatics and the discrimination of pathological states and related morbidities and comorbidities
extension of Systems Biology to Clinical-Epidemiological disciplines
identify new patterns in the pathogenesis, diagnosis and prognosis of chronic diseases
to achieve a shift to future healthcare systems with a more proactive and predictive approach to medicine, where the emphasis is on disease prevention rather than the treatment of symptoms. The individualization of treatment for each patient will be at the centre of this approach to facilitate their application [of omics and big data] to healthcare provision
the aim is to treat every patient as an individual case
inform rational therapy design for each patient
thereby facilitating personalized treatment decisions
to derive “actionable possibilities” that can improve wellness or avoid disease for each patient.
predictive, preventive, personalized, and participatory medicine
developing new diagnostic and therapeutic reagents to terminate a disease trajectory for each individual early, returning them to wellness
aims at predicting the course of a disease in a given patient and how far it can be altered by available therapies the prediction of benefit–risk for a single subject, a group, or a population
the application of systems biology to medicine concerned with the complex network interplay of a biological unit and represents injury and illness as a perturbation to the network
aims to offer new approaches for addressing the diagnosis and treatment of major human diseases uniquely, effectively, and with personalized precision
to model and predict disease expression (the pathophenome). Systems medicine integrates basic research and clinical practice, and emphasizes translational and clinical research
highly comprehensive and integrative
aims to offer a powerful set of methodologies to improve our understanding of disease pathogenesis and to design personalized therapies to address the complexity of human diseases
the clinical application of Systems Biology approaches to medicine
to detect and stratify various pathological conditions providing novel insights into the mechanisms of various diseases, such as diabetes and obesity, overcoming the current limitations of disease complexity
a) to generate a mathematical model that describes or predicts the response of the system to individual perturbations
b) interdisciplinary approach that systematically describes the complex interactions between all parts of a biological system, with a view to elucidating new biological rules capable of predicting the behavior of the biological system
adaptation and extension of Systems Biology
aimed at improving risk prediction and individual treatment respecting ethical and legal requirements
to find novel diagnostic markers
to find novel therapeutic targets
innovative approach to complex diseases understanding and drug discovery
enable the understanding of the mechanisms, prognosis, diagnosis and treatment of disease
improving the diagnostic process, disease management, and outcomes
a) gain a translational understanding of the complex mechanisms underlying common diseases
b) to address the problem that a disease is rarely caused by malfunction of one individual gene product, but instead depends on multiple gene products that interact in a complex network
c) natural extension of, or is complementary to, current models for clinical decision-making
a) improve our understanding and treatment of diseases
b) further development of systems biology and bioinformatics towards applications of clinical relevance
c) to derive a mechanistic understanding of pathologies, prophylaxy and support of therapy optimization
d) develop interfaces between the computational and mathematical frameworks used in systems medicine
a) integrate molecular, cellular, tissue, organ, and organism levels of function into computational models that facilitate the identification of general principles. Systems medicine adds a disease focus.
b) to better characterize and understand disease complexity
c) to create disease networks
d) overcome current limitations in drug discovery
e) network-based approaches will be able to explore the effects of various drugs in mathematical models
a better understanding of cellular and molecular networks as key pathogenic elements of human diseases
a) implementation of Systems Biology approaches in medical concepts, research and practice
b) to construct computational models for the dynamic prediction of disease progression or response to treatment at a personal level
application of the systems biology approach to disease-focused or clinically relevant research problems
a) provide a conceptual and theoretical framework
b) practical goal is to provide physicians the tools necessary for harnessing the rapid advances in basic biomedical science into their routine clinical arsenal
c) to provide the tools to take into account the complexity of the human body and disease in the everyday medical practice
to answer clinical questions
a) clinical decision making is supported
b) integrated study of system level metabolic, phenotypic, and physiological changes in response to disease processes or therapies
application of systems biology in a clinical context
not the mere translation of the terminology from computer and life sciences to the medical field
a) dedicated to deciphering the control mechanisms existing within model organisms such as yeast
b) Systems models of disease
more readily identify disease genes
treatment selection and delivery
a) application of a systems biology approach in medical research and clinical practice
b) to intervene at an early stage to prevent the occurrence and reduce the suffering of the effects of disease, in contrast to chiefly targeting reactive measures only following the occurrence of disease
c) embraces and includes programs such as P4 medicine and personalized medicine
d) data integration from omics to the clinic
a) extension of systems biology
b) carries this approach forward into a disease-oriented era
application of systems biology approaches to medical research and medical practice
application of systems biology to the challenge of human disease
a) a systems approach to health and disease
b) to lead to predictive and actionable models for health and disease
predictive, preventive, personalized, and participatory (P4) medicine
translational systems medicine
to integrate a variety of biological/medical data on all relevant levels of cellular organization, to enable an understanding of the pathophysiological mechanisms, prognosis, diagnosis and treatment of disease to represent signs and symptoms of diseases in multi-level computational models of cells, tissues, organs, organ systems and even organisms the application of systems biology approaches to medical research and medical practice molecular) systems biology in medicine
to reconstruct organs and organisms to determine clinical behaviours and interventions
a holistic approach to medicine (systems medicine), that could benefit patients and society
is shaping up a transformational paradigm in medicine we termed predictive, preventive, personalized, and participatory (P4) medicine
to enable bringing this revolution in medicine to patients and to the healthcare system.
The reconstruction of such biological network models, the combination of these models with omics data and their application to specific medical questions are often referred to as systems medicine.
a better understanding of the structure and function of the human genome and its associations
helps to understand the behaviour of the human body at all levels of organization
it offers the prospects of modelling complex diseases, establishing novel diagnostic and therapeutic techniques, identifying new drug targets, developing a system-orientated drug design strategy and eventually achieving effective personalized medicine
not to be caught in the data deluge.
allowing to infer the macro-systems dynamics and produce elements of synthesis such as signatures and profiles
an application of systems biology approaches to biomedical problems in the clinical setting,
to derive personalized assessments of disease risk more effective individualized diagnosis, prognosis, and treatment options the foundation for a practice of systems medicine in the future that will be predictive, personalized, preventive, and participatory
Systems or ‘P4’ medicine offers a grand vision for achieving better population health. The four Ps - predictive, preventive, personalized and participatory - invoke a patient-centered approach that prioritizes health promotion over disease treatment
to tackle NCDs as a common group of diseases. for predictive, preventive, personalized and participatory (P4) medicine designed to allow the results to be used globally, taking into account the needs and specificities of local economies and health systems.
Systems medicine is the application of systems biology to medical research and practice.
to integrate a variety of data at all relevant levels of cellular organization with clinical and patient-reported disease markers.
to enable understanding of the mechanisms, prognosis, diagnosis and treatment of disease.
It involves a transition to predictive, preventive, personalized and participatory (P4) medicine, which is a shift from reactive to prospective medicine that extends far beyond what is usually covered by the term personalized medicine
to tackle all components of the complexity of NCDs so as to understand these various phenotypes and hence enable prevention (Box 2), control through health promotion and personalized medicine, and an efficient use of health service resources
The main goal of systems medicine is to provide predictive models of the pathophysiology of complex diseases as well as define healthy states.
Understanding drugs and their modes of action for improving the accuracy of drug target prediction
new strategies capable of integrating all known information about the elements that make up the reality called asthma, thus offering a detailed mapping of its complexity.
[…] systems medicine, as a translationally relevant extension of systems biology
promise to provide the foundation for such prospective medicine
to derive new disease treatment approaches to reverse the pathology or prevent its progress into a more severe state through the manipulation of network states
This general approach, including diagnostics and therapeutics, is becoming known as systems medicine.
will enable a new medical discipline – systems medicine intervene to halt and reverse the networks progress into an undesired state
to the prevention of, understanding and modulation of, and recovery from developmental disorders and pathologic processes in human health
systems medicine emphasizes that the essential purpose and relevance of models is translational, aimed at diagnostic, predictive, and therapeutic applications.
systems medicine aims to discover and select the key factors at each level and integrate them into models of translational relevance, which include measurable readouts and clinical predictions.
tries to understand perturbed physiological systems and complex pathologies in their entirety
an integrative and systemic approach for the diagnosis, therapy, and prevention of diseases
with four main goals — predictive, preventive, personalized, and participative medicine (P4 medicine).
to understand perturbed physiological systems and complex pathologies in their entirety
geared towards obtaining clinical impact with both diagnostic and therapeutic end points.