Systems Biology and Systems Medicine
Presentations by Lee Hood at the Barnett Institute
of Chemical and Biological Analysis

summary by R.Kautz
photo gallery

Think of an organism as layered systems of dynamic networks. Two, for example, are the network of signal transduction proteins, and the network of transcription factors turning genes on and off. Both integrate and modulate the information they receive and transmit. To understand how any system is more than the sum of its parts, it is necessary to study it as a whole: "You could study neurons for 50 years and never get a clue that anything like 'consciousness' existed".

Three defining features of systems biology are:
- Global analysis
- Integrating several data types, e.g. transcript levels and protein levels.
- Reducing millions (or billions) of measurements to a coherent interpretation (diagnosis)

Finding Biomarkers

A significant innovation in Dr. Hood’s method is to first select potential markers that are specific to an organ of interest that may serve as state-reporter for the organ, then look for up- and down-regulation among this set. For example, he found about 300 transcripts that were only expressed in the prostate, and a subset of these showed differences between cell lines representative of early- and late- stage prostate cancer. An antibody was made against one of these, and used to compare its levels in sera of early and late-stage prostate cancer patients, and control patients. Out of 10 patients in each group, the new marker was seen in 5 each of the PC patients, and none of the controls. For comparison, PSA was seen in 0 control, 0 early-stage, and 7 late-stage PC patients. The combination of the two markers had better selectivity and specificity than either alone, and clearly more would be better.

A more detailed example was shown of prion disease. Comparing transcript levels in unaffected, early-stage and late-stage disease, correlating across four strains of mice and using GO analysis, produced a time-series of network diagrams relating the varied pathophysiologic responses. One protein in particular, C3, showed increased transcript levels early in disease development (before onset of symptoms) and is predicted to be available in blood.


Systems Medicine: the Nanolab

Dr. Hood’s vision is to characterize 10 - 50 of these organ-specific “state-reporters” for each of 56 organ systems, then to establish a standard test for the resulting 500 - 2500 serum biomarkers.

Promising results were shown towards a microfluidic device capable of such a test. Jim Heath makes parallel nanowire arrays, functionalized with a capture agent (Ab's or nucleic acids). Ligand binding changes capacitance, proportionally to concentration of ligand. Heath has shown dynamic range of 106, and successful detection in physiologic salt concentrations. Capture agents might be made using “click chemistry”, where good antibodies could not be generated.

The Nanolab is an envisioned TAS chip, which would include microfluidic processing of a drop of blood from a finger-stick, electrophysiology measurements on single cells, and the ability to lyse the cells contents onto a nanowire array, as well as cantilever nanomechanical sensors for studying protein-protein or protein-ligand interactions.

The Four P's of Systems Medicine

Predictive: The 2000-biomarker test, combined with the patient’s genome sequence, would provide early detection for most diseases, or an assurance of health.

Preventive: In addition to therapeutic drugs, we will have preventive drugs for diseases you don't have yet. Drugs may be prescribed not by diseases, but by protein target, including a personal assessment of off-target hits (side effects).

Personalized: Only 6 million nucleotides are different between individuals, easily catalogued in individual’s medical genome record. Treatment will be individualized; and will focus more on maintaining wellness than on ameliorating disease as medicine advances.

Participatory: Because more complete knowledge provides clearer diagnoses, and outcomes are more well-understood, the patient can understand and make medical choices that now require experts.

Predictions of the Future

Looking at a roadmap of the steps necessary to realize this vision, it is clear that it cannot be done by RO1 science alone, but will require strategic partnerships between academic, government, and commercial efforts.

P4 medicine will be cheap, and available to the entire world.


 

 


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