Maybe a bit of a strange take, but after having dealt with chronic illness personally and talked with a lot of others with chronic illness, I don't think classifying chronic illness by symptoms will help with curing, and in fact I don't think categorizing works at all for chronic illness. We've been trying to classify chronic illnesses for so long, and yet in most cases no pattern emerges.
This has led me to conclude that perhaps in most cases chronic illness is an emergent behavior from a complex system, namely our body. Now tbh this is kind of a cheap take, because it's not that hard to conclude. But gosh darn it, we're programmers and we deal with complex systems all the time! What I want to see is a complete quantitative mapping of human metabolism, so that we can see all the in-between steps, not just the surface levels. That way curing chronic illness is more about comparing metabolite levels against known pathways and seeing what's regulated incorrectly. There's just not enough introspective capability currently.
My vision is some day a person who's been chronically ill can walk into a clinic, take a blood test, and with mass spectrometry get the level of the around 1800 different intermediate metabolites. That gets mapped to a known good metabolic graph, and it's optimized to find what in-between step is off kilter. They're then prescribed a drug that resets the bad state, and it 6 weeks they're back to normal.
I also doubt that AI will substantially help either. It still doesn't bring any more introspection capability, and if we can't figure out why someone is sick, I have little faith that a predictive AI can figure it out either.
people are doing this for ME/CFS patients, and trying stuff, and ... it's not easy at all. But the signs at least are pointing toward something coherent.
Yes, it's many variants from a disease, but still, like cancer we can tackle them one by one.
Welcome to alternative health :))) there are many functional doctors, and others who perform this kind of stuff.
For example Organic Acids in Urine Test gives you some 70-80 metabolic markers, which some folks interpret. There's no large scale RCTs or studies on this, so it's a bit dubious. But I did one and the practitioner correctly read the leaves to suggest some things that were missing and which helped me (glutathione and B1).
> For example Organic Acids in Urine Test gives you some 70-80 metabolic markers, which some folks interpret.
The alternative medicine people use these tests because when you measure 80 different things you are almost guaranteed that some of them will come up high or low.
What they don’t explain is that many of them are expected to fluctuate and will show up with very different values on different days or depending on what you’ve eaten or when you’re taking the test.
They like it because they can tell you that you are too low in this thing and therefore you need to take this other supplement, every time someone takes the test.
For someone who isn’t getting answers from regular doctors it feels like a miracle that someone finally tested them, diagnosed them, and gave them something to take with a simple explanation of why it explains everything. This is the perfect recipe for placebo responses, which are common.
The forums are interesting to read because most people who do these and take the supplements will be very positive at first, but then over time they go back and take another test and find the results are completely different because it’s so random.
Organic acids tests are mostly only useful in the context of diagnosing specific genetic deficiencies which produce severe changes in the test results. The minor ups and downs that the alternative medicine people try to use are not diagnostic, especially with only a single test.
This has been my experience. After not getting answers for a long time from conventional doctors, I went to a naturopath out of desperation. I was diagnosed with "mold toxicity", and took a bunch of supplements to boost all the low levels I had (B12 and cortisol). I also took flax seeds to help with "detox". All the stuff helped a bit, but only a bit. It was still just symptom fighting.
Now to be fair, there are people whose lives have been changed by these treatments, because in some cases someone just happens to be low in some essential micronutrient, and seeing a naturopath solves that when a traditional doctor didn't do a broad assay. But it still doesn't help people like me where whatever is happening can't be described by surface level blood tests and treatments. Naturopaths talk about "wholistic health", but if it's so wholistic, why don't they consider intermediate reactions? So it's become a life goal of mine to build a quantitative metabolic reaction database. I'm currently a applied math major with a chemistry minor, so in a couple years I hope to be able to make some headway on this.
Thanks for the link! I looked over it, but I'm not seeing quantitative levels of reactions. That's been my biggest issue with current pathway databases. It's great to know what's connected to what, but very quickly it becomes everything connected to everything. And unfortunately everything doesn't reduce the problem space.
That would be difficult - a metabolic map is a diagram showing the known reactions. At any point in time, only a subset of these will be active. Like a road map - at midnight, only some roads will have traffic.
I think what you are looking for is more like a model of the metabolome, showing the flow through the network under certain conditions (steady-state, growth, cell stress, etc). Not sure if there is a readily available database of such models, or how easy it would be just to run them and get meaningful results.
Yeah, I think that's closer to what I'm looking for. I'm actually looking into scaling up chemical simulation, so hopefully simulating it is feasible in the near future!
This has led me to conclude that perhaps in most cases chronic illness is an emergent behavior from a complex system, namely our body. Now tbh this is kind of a cheap take, because it's not that hard to conclude. But gosh darn it, we're programmers and we deal with complex systems all the time! What I want to see is a complete quantitative mapping of human metabolism, so that we can see all the in-between steps, not just the surface levels. That way curing chronic illness is more about comparing metabolite levels against known pathways and seeing what's regulated incorrectly. There's just not enough introspective capability currently.
My vision is some day a person who's been chronically ill can walk into a clinic, take a blood test, and with mass spectrometry get the level of the around 1800 different intermediate metabolites. That gets mapped to a known good metabolic graph, and it's optimized to find what in-between step is off kilter. They're then prescribed a drug that resets the bad state, and it 6 weeks they're back to normal.
I also doubt that AI will substantially help either. It still doesn't bring any more introspection capability, and if we can't figure out why someone is sick, I have little faith that a predictive AI can figure it out either.