Launch HN: Iollo (YC S22) – At-home metabolomics test to extend healthy lifespan
Today’s healthcare system is reactive, meaning diseases are treated only after symptoms are present. By the time they are detected, they’re often already serious issues that require irreversible interventions, like taking lifelong medications and living with their side effects. Collectively, we end up spending trillions of dollars treating diseases reactively that can often be prevented with good health monitoring and management. Also, a lot of age-related diseases develop as a result of molecular imbalances that accumulate over years.
One scientific field where many of these molecules can be measured is called metabolomics. Having worked in this field for more than a decade, we know that the technology exists to detect potential signs of chronic conditions at the earliest stages, when they are most actionable. Dan has a PhD and did his postdoctoral research at Stanford in computational biology and metabolomics. His work covers healthspan extension, lifespan extension and machine learning-based tools for drug repurposing. Jan, who was Dan’s PhD thesis supervisor, is a professor of computational biomedicine and metabolomics at Cornell. He has published over 90 metabolomics-related papers, with a focus on age-related chronic diseases, such as cancer, type 2 diabetes, and Alzheimer’s disease. Brent was the co-founder of Circle Medical, a primary care provider via video and in-person.
The “metabolome” is defined as the complete set of small molecules found in biological organisms with a size of <1,500 Dalton, also known as metabolites [1][2]. This comprises biochemical substances such as amino acids, nucleic acids, fatty acids, vitamins, and hormones, as well as external chemicals like drugs, environmental contaminants, food additives, toxins [3][4] and metabolites produced by the gut microbiome. As of 2022, over 200,000 metabolites have been identified in nature, 40,000 of which are in blood, and over 1,500,000 are expected to still be identified (what we call the dark metabolome) [5].
The same way that fasting glucose has a baseline, other metabolites in blood, like the ~600 that we measure, also have their own baseline and deviations from these baselines have implications for your overall health and aging [6]. Compared to genetic testing, which tells people what might happen to their health, metabolomics tells us exactly what is happening in a body right now. Recent studies have shown links between blood metabolites and the risk or presence of various systemic diseases, including diabetes, heart disease, and Alzheimer’s disease; see for example [7].
Here are a few examples of what the first generation of iollo reports will include:
(1) The food a person eats and what actually ends up in their blood are not always the same thing. This is related to the concept of “bioavailability”, which differs from person to person. For example, people with impaired sugar transporters in the gut will not experience the same spike of blood sugar as people with a normal receptor (side note: this is not always a good thing, since sugars that remain in the gut lead to IBD-like problems). Our technology measures various markers of food intake, for example of red meat and plant-based diets, that can show what actually ended up in your blood. This can help guide dietary recommendations and healthy lifestyles.
(2) Your personal rate of aging. Research has shown that there is a “biological age”, which might differ from a person’s actual, chronological age. People who are...
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[ 3.0 ms ] story [ 258 ms ] thread[1] Wishart DS. Metabolomics for Investigating Physiological and Pathophysiological Processes. Physiol Rev. 2019 Oct 1;99(4):1819–75. https://journals.physiology.org/doi/full/10.1152/physrev.000...
[2] Wishart DS, Tzur D, Knox C, Eisner R, Guo AC, Young N, et al. HMDB: the Human Metabolome Database. Nucleic Acids Res. 2007 Jan;35(Database issue):D521-526. https://academic.oup.com/nar/article/35/suppl_1/D521/1109186
[3] Wishart DS. Current progress in computational metabolomics. Brief Bioinform. 2007 Sep;8(5):279–93. https://academic.oup.com/bib/article/8/5/279/217981
[4] Nordström A, O’Maille G, Qin C, Siuzdak G. Nonlinear data alignment for UPLC-MS and HPLC-MS based metabolomics: quantitative analysis of endogenous and exogenous metabolites in human serum. Anal Chem. 2006 May 15;78(10):3289–95. https://pubs.acs.org/doi/10.1021/ac060245f
[5] Wishart DS, Guo A, Oler E, Wang F, Anjum A, Peters H, et al. HMDB 5.0: the Human Metabolome Database for 2022. Nucleic Acids Research. 2022 Jan 7;50(D1):D622–31. https://academic.oup.com/nar/article/50/D1/D622/6431815
[6] Ahadi, Sara, et al. "Personal aging markers and ageotypes revealed by deep longitudinal profiling." Nature Medicine 26.1 (2020): 83-90. https://www.nature.com/articles/s41591-019-0719-5
[7] Pietzner, Maik, et al. "Plasma metabolites to profile pathways in noncommunicable disease multimorbidity." Nature medicine 27.3 (2021): 471-479. https://www.nature.com/articles/s41591-021-01266-0
[8] Merino, Jordi, et al. "Metabolomics insights into early type 2 diabetes pathogenesis and detection in individuals with normal fasting glucose." Diabetologia 61.6 (2018): 1315-1324. https://pubmed.ncbi.nlm.nih.gov/29626220/
[9] Wang, Thomas J., et al. "Metabolite profiles and the risk of developing diabetes." Nature medicine 17.4 (2011): 448-453. https://www.nature.com/articles/nm.2307
References:
[1] https://academic.oup.com/ajcn/article/108/2/243/5038205
[2] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412259/
[3] https://pubmed.ncbi.nlm.nih.gov/32931723/
[4] https://www.cell.com/cell/fulltext/S0092-8674(20)30508-0
[5] https://www.ahajournals.org/doi/10.1161/CIRCGENETICS.117.001...
[6] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8508882/
Just for my own clarification, when you say at-home do you mean that the kit will diagnose the patient at home, or that they will gather samples at home and mail them to you?
How it works: We send you a blood collection device ... and it gets express-shipped directly to the metabolomics lab.
(Interested in purchasing your service and sending in a sample from my physical)
You'd be able to download different programs that analyze your current health state from blood, or any other marker. The device would be able to tell if you are at risk for any disease just from a common set of samples.
I know this is kind of unrealistic, because to make better programs you need data from people. But who knows. Maybe one day we'll get there.
There's so much fluff and scams in this industry, YC isn't exactly above it either. ex) coinbase
Maybe this is legitimate maybe its not. We have no way of knowing.
Will it be possible to contact people with similar profiles to create new scientific evidence? E.g. if some marker is too low, it would be nice to work with others with the same problem to figure out how to increase the value.
For all the privacy concerns, I'd love to be able to opt to waive them / opt in to groups of people with similar results and exchange notes / personal findings.
And would love to contribute to medical research in a way that's less onerous on researchers.
And of course there'd be some misunderstandings - consumer beware...
I question whether it's emotionally healthy for all users to have a direct measure of their aging to this degree. If I were a customer, I'd prefer to receive the actionable advice (the "how to decrease this rate of aging") without knowing the exact rate or my rate relative to the average. Especially if there were aspects outside of my control. If some other thing shows up as actionable but there's not really much in the metabolite data relevant to aging rate, cool - show me that stuff instead. If the data does show there are actions that I should take to reduce rate of aging, cool - recommend me those actions.
Certainly not saying one shouldn't be able to get at this data from your service, but that perhaps it should be an onboarding option to not receive that level of granularity.
The idea of masking certain aspects with different levels of granularity during onboarding and according to each person's comfort level is excellent. We will take this into consideration.
I'll just say, that even IF you can provide actionable advice to improve things, I still wouldn't want a number or quantifiable thing regarding aging rate. Something like sleep quality or weight change is more indirect and I feel fine knowing the stats. But with actual aging, not even sure I'd want the boolean 'you are experiencing accelerated aging' vs 'you are no longer experiencing accelerated aging' or 'you aren't experiencing accelerated aging'.
Like, look at something like Apple Health that prompts the user to try to get in their daily steps. Or an app reminding an elderly person to stand up every hour. Or to look away from their screen.
Those reminders could secretly be informed by the patient's health markers, but the patient need not think about that or their raw score.
I think the value I'd find in a service like Iollo is getting targeted advice/actions dependent on my own metabolically problematic markers - maybe Iollo's advice changes whether I have sleep issues or hormone problems or eating too much or am smoking cigarettes - and to have those actions/advice change over time dynamically as new input / measurements are received by your systems, as opposed to seeing a line graph showing me just how much I fucked up my body in April when I was grieving a loss of a parent with sleepness nights and hitting the whiskey a bit too hard, just yielding more anxiety and self-recrimination.
On the other hand - I wouldn't mind seeing congratulations or seeing Iollo prove that positive steps I took are resulting in improvements. So maybe Iollo telling me that I did a stellar job in improving measures of cardiovascular health over the last 30-90 trailing days, allowing me to feel like I accomplished something by improving habits.
We understand it's not for everyone! https://news.ycombinator.com/item?id=32285242
Do you think this is a risk to you? How will you deal with the FDA?
Does this mean you other medical professionals can't get the data / records of these tests?
If you want to have your data, you can download them at any time and share them with anyone you want.
If you want us to delete the data, we will do that.
If you don't say anything, we will never share your data with anyone.
> The resulting data is then securely sent over to us (we’re HIPAA compliant)
So the material is considered and under the protection of HIPAA.
> At no time shall your Personal Information, including blood or metabolomic data collected from you in accordance with this Privacy Policy be deemed to be an electronic health record or an electronic medical record for any purpose, including without limitation for the purpose of compliance with the Health Insurance Portability and Accountability Act of 1996.
This reads like 'because we do not consider your data to be PHI, therefore it is not under HIPAA.' ergo, lose all HIPAA protection.
Might want to re-write this if that is not what you meant.
The thing you need to remember with consumer protection is that a failing company will abandon everything including ethics in order to pay the piper. Especially after they have laid you off.
There’s a reason some capital E ethical companies put poison pills or time bombs in their charter. Booby traps of this sort actually instill trust in people who have heard a line of bullshit so often they can see it a mile away.
I'd be specifically interested in exactly how you "delete" data after the user requests this, and how you ensure that any data breach could not reveal identifying information. Perhaps HIPAA covers some or all of this, I'm not sure. But personally I'd want extremely detailed reassurance about these items.
https://www.healthit.gov/topic/interoperability/how-hipaa-su...
Without specific explanations, you could always weasel out of vague promises.
Sorry to sound negative. I'd love a service like this, but there's a very high bar for responsible implementation (in my opinion) and VC seems very unlikely to be compatible with responsibility.
Basically, what is your business model? Are you only making money from subscriptions, or through other means? What are the VC's expectations?
I think you need to stop for a bit and think about what ethical behavior is.
Right now you want me to pay $1308 (!!!) just to see if your "action plans" are any good. Since literally every other personalized health action plan I have ever seen has been useless, I am not inclined to dump $1308 to find out if you are telling the truth or not.
I would maybe be willing to pay $250 for a single premium result, but I am not going to risk paying $1.3k and end up disappointed.
- Do you have an example of what a report looks like?
- What's your turnaround time?
- Do you have an option to do one test if we're unsure we want to commit to a year?
- Can we do anonymized user information from the start, ie not providing name, address, etc (given recent supreme court decisions, it's not off the table that one day insurance companies would be allowed to access this data)
To answer your questions:
- Thanks for the suggestion, we're currently working on the example reports with our pilot users and will publish some of them soon.
- Our turnaround time is currently 2-3 weeks, but we're working to significantly reduce that.
- Given this feedback we're receiving, we'll implement that option shortly. For now if you want to try it, you can get the one test plan and I'll cancel the subscription for you.
- This is a good question, and we have to look into this. Data privacy is a big topic for many people. We have to mail the package somewhere, but maybe there are options.
Also, Jan and I are from Germany, and Brent lives in Switzerland. Those countries will definitely be on the top of our list!
Because it's far from obvious that dietary supplementation of X is going to have a causal link to a reduction in problem Y, where Y is associated with low levels of X.
For example, a low ferritin isn't always best treated with iron supplements - certainly they won't treat the bowel cancer that could be the underlying cause.
> one of our participants had a high level of phthalic acid, which can be found in plastics and cosmetics and is a chemical known to disrupt hormones in the body
Does this mean that if elevated levels of some weird metabolite are found in my blood, you'll let me know? You say you measure 600 of them - does that mean you check for weird/high levels of all 600, and if you find some, they'll be in the report?
I see you mention Theranos, but to be honest, this won't be the last time you get asked these questions. Every partner, news interview, and many potential customers will bring it up. So much so, that I would create a page specifically addressing these issues (in more detail than the FAQ).
https://arthritis-research.biomedcentral.com/articles/10.118... https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8340475/
Specifications by an academic metabolomics facilty: https://www.embl.org/groups/metabolomics/faq/
Regarding your Theranos comment: You are absolutely right. This is something we will have to deal with, and where are actively working on our messaging.
I feel like during my lifetime overall nutritional guidance has swung on plenty of things. One example would be eggs - "those are good for you, no wait they're bad and drive up your cholesterol, no wait, the cholesterol in eggs doesn't seem to raise cholesterol in humans who consume eggs".
I can see where you'd feel you have an edge by measuring each individual's blood over time and you can see how test results change after making changes in diet or behavior - except maybe you aren't factoring in so many other changes. Maybe I moved somewhere colder and I'm getting less sunlight. Maybe I got COVID. Maybe I took up swimming. Ok, so now a blood test is showing that I'm at a slightly higher risk for a disease - do I follow Iollo's dietary guidance? Do I try to get more Vitamin D? Do I just write it off as noise?
I feel like the major trend is acknowledging that there aren't many singular things which are bad enough for you to materially move the needle. Health (especially as you age) has a lot luck involved.
Sure, you're not going to fare very well if you're constantly stressed, never exercise, eat terribly, do a ton of drugs, and have an awful sleep schedule.
But whether or not you put kale or romaine in your green smoothie is not going to move the needle in a way that matters. Just like whether or not you have some eggs for breakfast most days or not is not going to materially move the needle.
It seemed like the "health craze" really started somewhere around the early 90s, when people started thinking about all these different vitamins they should be taking and foods they should be eating. I'm guessing this is just when people really started to market and push these products. It probably took 30 years to undo that and convince people they can settle down and there's way more important health decisions one can make than whether or not you eat eggs.
In the 1700's people were literally blowing smoke up their asses. In the 1800's the Kellogg brothers invented the consumer packaged health-foods market. There's nothing new about health crazes. Maybe the 90's is when you entered the demo of "possible health craze customer" and you started see it?
Regarding your discussion of potential confounding factors due to changes in lifestyle parameters (swimming, sunlight etc.). That's an excellent question and important topic. For some metabolites, this does not matter. For example, if your glucose or Hba1c levels go above a certain value, you have diabetes, and it doesn't matter how it got there. For other metabolites, there might indeed be some external factors that influence the results. As you said, maybe you move somewhere cold, your metabolite levels suddenly switch, and the report says "warning". We have two answers for this: (1) For a lot of metabolites, these types of environmental factors and whether or not they play a role have been investigated in research studies and we thus know them. (2) Prior to each test, we will ask for as many lifestyle parameters as possible so we know that a certain change occurred and we can account for those in our analyses. Also over time, as we build our database, we will be able to automatically detect these changes for you and account for them (similar to Apple Watch's movement detector).