Rx For Medical Research

Most biomedical research is framed by an outdated view of disease, a linear mind-set that focuses on simple causes rather than complex relationships within dynamic systems. If we are to achieve President Obama’s audacious goal of “a cure for cancer in our time,” we must radically alter the way we think about biology and disease.

Physicians and medical researchers are traditionally taught to consider disease in terms of simple causes and isolated linear pathways. This one-gene-one-disease approach also informs the way most animal models of disease are developed. Technology readily enables researchers to engineer mice with specific molecular defects in one or a small number of genes as an experimental proxy for human disease. While some of these models are informative and reasonably predictive, most are not.

The limitations of animal models are highlighted by results emerging from powerful genomic studies of human diseases ranging from Type 2 diabetes to pancreatic cancer. For these and many other conditions, the cause is not a single defect, or even a handful of defects, but rather, combinations of hundreds of possible defects, each contributing slightly to the overall risk of disease.

To fully understand complex diseases, and to develop innovative, effective therapies, it is now clear that we must consider not just a single “disease gene” or molecular pathway, but instead to recognize that most diseases result from a disturbance of large interacting networks of molecules. Viewing disease in this context not only provides a more complete description of the underlying biology, it also enables new levels of analysis and insight.

For example, most conventional approaches seek to identify drug targets by looking for a defective link in a chain. All too often, however, drugs developed in this way turn out to be far less effective than anticipated – the molecular networks underlying the disease easily adapt to the drug, minimizing its impact. However, if we adopt a more integrative view of disease etiology, and select therapeutic compounds by assessing their impact on networks and network interactions, then perhaps we can develop more effective drugs and drug combinations that precisely target key vulnerabilities of the disease process, minimize undesirable side effects, and work at comparatively low doses.

One key challenge in developing useful biological networks is the need for better data that reveal associations between DNA mutations and clinical consequence. Properly constructed and securitized electronic medical records would contribute enormously to this effort.

The process of developing useful new networks is also hampered by the sequential nature and long time frame of traditional scientific communication. Missing is the opportunity to effectively harness the aggregate capabilities and creativity of the community of scientists, and to enable real-time coordination and more rapid progress in refining the representations of biology and disease. The success of a range of innovations, from Wikipedia to InnoCentive (originally developed at Eli Lilly) to Procter & Gamble’s “Connect and Develop” program, highlight both the power of collective imagination and the need to ensure appropriate monitoring.

Though the field of network biology is only in its infancy, the recent application of network-based approaches to drug discovery has already started to yield results. For instance, more than a third of the metabolism drugs in Merck’s current pipeline were derived using this methodology.

The difficulty of transitioning science from a linear to a network mind-set is matched only by the urgent need for success. By both shifting our focus from individual molecules to the complex systems in which these molecules interact, and by developing ways for scientists to share insights earlier and more often, we may achieve real therapeutic breakthroughs that finally provide our patients with the novel, effective medications they have been awaiting for far too long.

Dr. David Shaywitz is a founding adviser of Sage, and a management consultant in New Jersey, and Drs. Stephen Friend and Eric Schadt are co-founders of Sage, a nonprofit medical research organization focused on harnessing the power of networks. All authors are past employees of Merck & Co. Inc. This article first appeared in the pages of the San Francisco Chronicle.

5 replies »

  1. Medical research has shed light on many useful and rescue solutions that have led to the eradication of certain diseases. This has also helped reduce the fear that once the people delighted to certain diseases that were far from being treated.

  2. Appreciate your post, and heard Dr. Friend’s similar remarks at the caBIG annual meeting last month. I agree that a systems view of disease that takes into account multiple causal pathways and interactions is urgently needed.
    Along with transforming the biomedical research paradigm, there must be accompanying transformation in the overall grant development pipeline and academic system of career development and promotion. Scientists are still mostly rewarded for studying a singular topic, and working in isolation (“the R01 mentality,”) but multidisciplinary collaboration, data sharing and receiving academic rewards, i.e., tenure for taking these roads less traveled. Accelerating discovery, development and delivery requires nothing less.

  3. This interactive complex of multipathological pathways to disease,or health, certainly seems to fit kidney disease, my current work focus. Interesting submission.

  4. I am so glad for your thought on this. I think solution for cancer is possible in less than our life times. The key is to have a concerted effort.
    10 years ago, I wanted to quit my job and do research in this field..with 70% in salary cut. Why did I want to do that? I just felt that I can find the solution and wanted something to give. I could not convince the leadership at John Hopkins….
    I think medical research has not spend enough time on the basics and correlating to outcomes. And going to the fundamentals with strong analytical models will provide more insight. I am fully aware of the complexities of the human body. But now a days, since we are talking about personalized care, I think there is more confidence in the community.
    Another basic belief that I hold is the basic falacy of western medicine culture. While the approach has value in certain scope, but overall I think the approach of treating disease as enemy is wrong. We try to kill the viruses, bacteria, etc. I think the cure will come from the fundamental change in the way we approach.
    Here is the analogy that I use. We have been fighting terrorism and every year it becomes worse and worse. Trust me, we used to go to airport with 15 minutes to spare and still catch a flight. Now, everyone is realizing is that you can not cure of terrorism from military action. What we are doing in medicine is equivalent of military action. We have to differentiate between the disease as bad not the agents of cause.
    With that approach, and more encompassing model, I believe cure is possible and in shorter time frame.
    This is the vision I hold. Even though the reality is alot more difficult, but I hold true to this belief. Hey, going to moon was impossible and it took just 10 years to achieve the impossible.
    PS: I am not a MD but I do advise MDs and providers on how to excel in care delivery – clinical and non-clinical. Just wanted to disclose that.

  5. To whom is many concern,
    There is a serious disease called hidadenitis suppurativa that causes painful abscess in the the groin and axilla that many people do not know about perhaps you should like to do a story about this. There is new hope as companies and finally doing clinical research on this if you are interested in discussing this or meeting patients can you call me at 212 991-6490 my ADDRESS is 150 West 55th Street.
    This disease would benefit from interdisciplary care
    Noah Scheinfeld MD Dermatologist