'IMAX Movie of Body' Allows Stanford Geneticist To Stop Diabetes In Its Tracks
sciencehabit writes "Michael Snyder has taken 'know thyself' to the next level. Over a 14-month period, the molecular geneticist analyzed his blood 20 different times to pluck out a wide variety of biochemical data depicting the status of his body's immune system, metabolism, and gene activity. In yesterday's issue of Cell (abstract), Snyder and a team of 40 other researchers present the results of this extraordinarily detailed look at his body, which they call an integrative personal omics profile (iPOP) because it combines cutting-edge scientific fields such as genomics (study of one's DNA), metabolomics (study of metabolism), and proteomics (study of proteins). Instead of seeing a snapshot of the body taken during the typical visit to a doctor's office, iPOP effectively offers an IMAX movie, which in Snyder's case had the added drama of charting his response to two viral infections and the emergence of type 2 diabetes."
Let me know when they can stop, and reverse, Type 1.
Cell is published by Elsevier which has been in the news recently because of a boycott. A search provides http://www.guardian.co.uk/science/2012/feb/02/academics-boycott-publisher-elsevier I support the boycott.
It goes further than that, medical insurers will be required to spend 85% of revenues collected as premiums on the care of insured members. With a potential profit margin narrowed to 15% of revenue minus operating costs the US medical insurance industry will likely no longer be the darling of the investment community.
Constant monitoring could be the next big thing in medicine.
We currently diagnose based on discrete measurements compared with cutoffs - "averages" and numbers which are rounded to easily-remembered values. For example, Type-II diabetes is indicated when glucose is over 200mg/dl 2 hours after an oral glucose test. ...that seems like an awfully contrived number, simply because it's so easy to remember.
Instead of single point cutoff measurements, maybe we could get better diagnoses if we could see the change in values over time. Perhaps a more accurate diagnosis of diabetes would come from characterizing the slope of several months worth of glucose measurements.
With the rise of cheap microprocessors, I think there's a lot of opportunity for medical monitoring. Something like a wristwatch which records 10 types of measurements every hour. Of course I don't know how this could be done - perhaps spectroscopic measurements of reflected light through the skin, or terahertz wave reflections.
I've often wondered if it's possible to make a USB peripheral that records to a TI Chronos wristwatch for later display.
I bet there's lots of interesting features there just waiting to be discovered.
"eyelet transplantation" (ie, from a healthy donor, into a Type 1 Diabetes sufferer)
For the sake of helping any searchers not miss a load of references through searching on "eyelets" ....
These are "islets", not "eyelets", i.e. "Islets of Langerhans" (named for the scientist who first described them), they are little islands of special tissue in the pancreas gland, and they contain the beta-cells that normally make insulin, and in Type-1 diabetes they fail after attack by autoimmune processes. Their transplantation has been both promising and problematic, and as the parent post noted, tissue rejection problems have been met by immunosuppression.
-wb-