AUTHOR=te Velde Anje A. , Bezema Tjitske , van Kampen Antoine H. C. , Kraneveld Aletta D. , 't Hart Bert A. , van Middendorp Henriët , Hack Erik C. , van Montfrans Joris M. , Belzer Clara , Jans-Beken Lilian , Pieters Raymond H. , Knipping Karen , Huber Machteld , Boots Annemieke M. H. , Garssen Johan , Radstake Tim R. , Evers Andrea W. M. , Prakken Berent J. , Joosten Irma TITLE=Embracing Complexity beyond Systems Medicine: A New Approach to Chronic Immune Disorders JOURNAL=Frontiers in Immunology VOLUME=7 YEAR=2016 URL=https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2016.00587 DOI=10.3389/fimmu.2016.00587 ISSN=1664-3224 ABSTRACT=

In order to combat chronic immune disorders (CIDs), it is an absolute necessity to understand the bigger picture, one that goes beyond insights at a one-disease, molecular, cellular, and static level. To unravel this bigger picture we advocate an integral, cross-disciplinary approach capable of embracing the complexity of the field. This paper discusses the current knowledge on common pathways in CIDs including general psychosocial and lifestyle factors associated with immune functioning. We demonstrate the lack of more in-depth psychosocial and lifestyle factors in current research cohorts and most importantly the need for an all-encompassing analysis of these factors. The second part of the paper discusses the challenges of understanding immune system dynamics and effectively integrating all key perspectives on immune functioning, including the patient’s perspective itself. This paper suggests the use of techniques from complex systems science in describing and simulating healthy or deviating behavior of the immune system in its biopsychosocial surroundings. The patient’s perspective data are suggested to be generated by using specific narrative techniques. We conclude that to gain more insight into the behavior of the whole system and to acquire new ways of combatting CIDs, we need to construct and apply new techniques in the field of computational and complexity science, to an even wider variety of dynamic data than used in today’s systems medicine.