In the context of scientists' reflections on genomics, we examine some fundamental issues in the emerging postgenomic discipline of systems biology. Systems biology is best understood as consisting of two streams. One, which we shall call ‘pragmatic systems biology’, emphasises large‐scale molecular interactions; the other, which we shall refer to as ‘systems‐theoretic biology’, emphasises system principles. Both are committed to mathematical modelling, and both lack a clear account of what biological systems are. We discuss the underlying issues in identifying systems (...) and how causality operates at different levels of organisation. We suggest that resolving such basic problems is a key task for successful systems biology, and that philosophers could contribute to its realisation. We conclude with an argument for more sociologically informed collaboration between scientists and philosophers. BioEssays 27:1270–1276, 2005. © 2005 Wiley Periodicals, Inc. (shrink)

This article compares two different bodies of theories concerning the role of the genome in life processes. The first group of theories can be indicated as referring to the gene-centric paradigm. Dominated by an informational myth and a mechanistic Cartesian body/mind and form/substance dualism, this considers the genome as an ensemble of discrete units of information governing human body and behavior, and remains hegemonic in life sciences and in the public imagination. The second body of theories employs the principle of (...) the extraordinary plasticity of the (body-)organism and emphasizes the value of the (body-)organism-environment mutual interchange, known as ‘the epigenetic approach’. This approach is outlined, showing a gradual, paradigmatic shift from the genecentric towards an epigenetic approach can be observed in the ‘scientific landscape’ over the last 20 years. The article concludes by formulating the argument that this ‘epigenetic turn’ in life sciences has some important implication for renewing epistemological basis of social sciences. (shrink)

The comprehension of living organisms in all their complexity poses a major challenge to the biological sciences. Recently, systems biology has been proposed as a new candidate in the development of such a comprehension. The main objective of this paper is to address what systems biology is and how it is practised. To this end, the basic tools of a systems biological approach are explored and illustrated. In addition, it is questioned whether systems biology ‘revolutionizes’ molecular biology and ‘transcends’ its (...) assumed reductionism. The strength of this claim appears to depend on how molecular and systems biology are characterised and on how reductionism is interpreted. Doing credit to molecular biology and to methodological reductionism, it is argued that the distinction between molecular and systems biology is gradual rather than sharp. As such, the classical challenge in biology to manage, interpret and integrate biological data into functional wholes is further intensified by systems biology’s use of modelling and bioinformatics, and by its scale enlargement. (shrink)

The convergence of biomedical sciences with nanotechnology as well as ICT has created a new wave of biomedical technologies, resulting in visions of a ‘molecular medicine’. Since novel technologies tend to shift concepts of disease and health, this paper investigates how the emerging field of molecular medicine may shift the meaning of ‘disease’ as well as the boundary between health and disease. It gives a brief overview of the development towards and the often very speculative visions of molecular medicine. Subsequently (...) three views of disease often used in the philosophy of medicine are briefly discussed: the ontological or neo-ontological, the physiological and the normative/holistic concepts of disease. Against this background two tendencies in the field of molecular medicine are highlighted: (1) the use of a cascade model of disease and (2) the notion of disease as a deviation from an individual pattern of functioning. It becomes clear that molecular medicine pulls conceptualizations of disease and health in several, partly opposed directions. However, the resulting tensions may also offer opportunities to steer the future of medicine in more desirable directions. (shrink)

The comprehension of living organisms in all their complexity poses a major challenge to the biological sciences. Recently, systems biology has been proposed as a new candidate in the development of such a comprehension. The main objective of this paper is to address what systems biology is and how it is practised. To this end, the basic tools of a systems biological approach are explored and illustrated. In addition, it is questioned whether systems biology ‘revolutionizes’ molecular biology and ‘transcends’ its (...) assumed reductionism. The strength of this claim appears to depend on how molecular and systems biology are characterised and on how reductionism is interpreted. Doing credit to molecular biology and to methodological reductionism, it is argued that the distinction between molecular and systems biology is gradual rather than sharp. As such, the classical challenge in biology to manage, interpret and integrate biological data into functional wholes is further intensified by systems biology’s use of modelling and bioinformatics, and by its scale enlargement. (shrink)

"The medical establishment has become a major threat to health. The disabling impact of professional control over medicine has reached the proportions of an epidemic. Iatrogenesis, the name for this new epidemic, comes from iatros, the Greek word for physician, and genesis, meaning origin. Discussion of the disease of medical progress has moved up on the agendas of medical conferences, researchers concentrate on the sick-making powers of diagnosis and therapy, and reports on paradoxical damage caused by cures for sickness take (...) up increasing space in medical dope-sheets [...] The public has been alerted to the perplexity and uncertainty of the best among its hygienic caretakers [...] This book argues that panic is out of place. Thoughtful public discussion of the iatrogenic pandemic, beginning with an insistence upon demystification of all medical matters, will not be dangerous to the commonweal."-- from Introduction. (shrink)

According to the traditional nomological-deductive methodology of physics and chemistry [Hempel and Oppenheim, 1948], explaining a phenomenon means subsuming it under a law. Logic becomes then the glue of explanation and laws the primary explainers. Thus, the scientific study of a system would consist in the development of a logically sound model of it, once the relevant observables (state variables) are identified and the general laws governing their change (expressed as differential equations, state transition rules, maximization/minimization principles,. . . ) (...) are well determined, together with the initial or boundary conditions for each particular case. Often this also involves making a set of assumptions about the elementary components of the system (e.g., their structural and dynamic properties) and modes of local interaction. In this framework, predictability becomes the main goal and that is why research is carried out through the construction of accurate mathematical models. Thus, physics and chemistry have made most progress so far by focusing on systems that, either due to their intrinsic properties or to the conditions in which they are investigated, allow for very strong simplifying assumptions, under which, nevertheless, those highly idealized models of reality are deemed to be in good correspondence with reality itself. Despite the enormous success that this methodology has had, the study of living and cognitive phenomena had to follow a very different road, because these phenomena are produced by systems whose underlying material structure and organization do not permit such crude approximations. Seen from the perspective of physics or chemistry, biological and cognitive systems are made of an enormous number of parts or elements interacting in non-linear and selective ways, which makes very difficult their tractability through mathematical models. In addition, many of those interacting elements are hierarchically organized, in a way that the “macroscopic” (observable) parts behave according to rules that cannot be, in practice, derived from simple principles at the level of their “microscopic” dynamics.. (shrink)