To be clear, I did not take any action based upon these reports.
In this post, I present some additional measures that you can see compare between my Viome stool collections, under the following categories: i) dietary recommendations and ii) supplement recommendations.
Viome "Foods to Avoid":
|
Stool 1a |
Stool 1b |
Stool 2 |
Stool 3 |
Stool 4 |
Vegetables to Avoid |
Bell Pepper
|
Bell Pepper
|
Bell Pepper
|
Bell Pepper
|
Bell Pepper
|
Proteins and Fats to Avoid |
Almonds
|
Almonds
|
Kefir (Cow Milk)
|
Almonds
|
Shrimp (Domestic) |
Fruits and Grains to Avoid |
None |
None |
Barley
|
None |
Watermelon |
Other Food Items to Avoid |
None |
None |
Coffee |
Turmeric |
None |
I do drink tea instead of coffee, since coffee can irritate my eyes (and, at least to some extent, my stomach).
However, I think these results were problematic overall:
- It looks like the variation for the same stool is at least similar to the variation between stools.
- I drink almond milk every morning, which I believe helps some with digestion (compared to diary milk). I don't think my reaction to dairy is severe, but I am not going to stop drinking almond milk. This was in multiple reports.
- I also think it is helpful for me to eat Activia with lunch. I am not completely sure how much eating regular yogurt helps, but I am certainly not going to stop easing any yogurt.
- Shrimp and watermelon are among my favorite foods. I don't typically encounter serious problems, and I think they might even help a bit with digestion (at least if the shrimp is cooked and fresh). So, again, these are examples of food that I am definitely not going to stop eating.
Viome Supplement Recommendations:
I was not certain the best way to show these results in this blog post.
You can download the full Excel table as "raw" from the GitHub page.
You can also view the table in PDF format here. If you want to see all 5 columns of results, then this is my recommended option.
I think that you can probably only clearly view the full content of the first 3 columns of results below (1a/1b and 2). However, the 2 highlighted columns are for the collections from the same sample (for both this table as well as the "Food to Avoid" table above). So, I think it is particularly useful to note when those are different.
Supplement |
Stool 1a |
Stool 1b |
Stool 2 |
Stool 3 |
Stool 4 |
Acacia Fiber |
|
|
1000 mg |
|
|
Alpha-Lipoic Acid (ALA) |
|
153 mg |
|
|
|
Amylase |
|
|
20 mg |
|
|
Angelica Root Extract |
|
|
87 mg |
|
|
Astaxanthin |
|
|
|
|
149 mg |
B. animalis ssp lactis B420 |
|
270 million CFU |
|
270 million CFU |
500 million CFU |
B. animalis ssp lactis BL-04 |
|
|
1.5 million CFU |
|
|
B. animalis ssp lactis VK2 |
2 billion CFU |
|
|
|
2.5 billion CFU |
B. bifidum Bb-06 |
500 million CFU |
|
|
1.4 billion CFU |
500 million CFU |
B. breve Bb-03 |
2 billion CFU |
1 billion CFU |
|
|
2.5 billion CFU |
Bacillus coagulans SANK
70258 |
500 million CFU |
|
1.3 billion CFU |
|
1 billion CFU |
Bacillus subtillis DE111 |
1 billion CFU |
|
750 million CFU |
|
|
Beet Root Juice |
700 mg |
|
700 mg |
600 mg |
|
Benfotiamine |
|
|
101 mg |
|
122 mg |
Berberine |
|
515 mg |
|
|
|
Beta-Glucan |
|
1000 mg |
250 mg |
750 mg |
|
Bilberry Extract |
|
79 mg |
|
|
|
Boswellia Serrata Gum Extract |
|
|
140 mg |
120 mg |
|
Butterbur Root Extract |
62 mg |
60 mg |
59 mg |
|
59 mg |
Capsicum Extract |
|
24 mg |
|
|
|
Caraway Seed Extract |
|
|
161 mg |
|
|
Cellulase |
|
|
74 mg |
|
|
Chamomile Flower Extract |
|
|
45 mg |
|
|
Chromium |
|
2 mg |
|
|
|
Citicoline |
149 mg |
|
124 mg |
|
149 mg |
Curcumin |
200 mg |
200 mg |
|
|
107 mg |
Dandelion Root Extract |
|
|
454 mg |
|
|
Deglycyrrhizinated Licorice (DGL) Root Extract |
|
|
31 mg |
|
|
Elderberry Extract |
|
|
|
|
208 mg |
Feverfew Extract |
|
|
239 mg |
|
239 mg |
Fisetin |
70 mg |
|
|
60 mg |
|
Forskohilli Root Extract |
|
|
|
21 mg |
|
Fructo-oligosaccharides (FOS) |
|
|
3250 mg |
|
|
Garlic Extract |
|
|
|
|
306 mg |
Greater Celandine |
|
|
76 mg |
|
|
Inulin |
1900 mg |
|
|
|
2400 mg |
L. acidophilus
DDS-1 |
|
|
1.3 billion CFU |
|
|
L. acidophilus NCFM |
|
|
200 million CFU |
|
|
L. casei Lc-11 |
|
|
200 million CFU |
|
|
L. delbrueckii ssp
bulgaricus Lb-87 |
500 million CFU |
|
|
|
|
L. delbrueckii ssp
bulgaricus LE |
500 million CFU |
|
|
|
500 million CFU |
L. fermentum LF61 |
|
|
400 million CFU |
|
|
L. gasseri Lg-36 |
|
|
|
270 million CFU |
500 million CFU |
L. helveticus VPro13 |
|
|
|
1.4 billion CFU |
|
L. paracasei Lpc-37 |
|
|
|
270 million CFU |
|
L. plantarum 299v |
|
|
750 million CFU |
1.4 billion CFU |
|
L. plantarum LM |
500 million CFU |
|
|
270 million CFU |
500 million CFU |
L. plantarum Lp-115 |
500 million CFU |
|
|
|
500 million CFU |
L. reuteri 1E1 |
500 million CFU |
|
|
270 million CFU |
500 million CFU |
L. rhamnosus GG (ATCC 53103) |
|
|
1.4 billion CFU |
|
|
L. rhamnosus LB3 |
500 million CFU |
|
|
|
500 million CFU |
L. rhamnosus Lr-32 |
|
|
200 million CFU |
|
|
L. salivarius Ls-33 |
|
|
200 million CFU |
|
|
Lactase |
|
|
1 mg |
|
|
Lactobacillus acidophilus
La-14 |
500 million CFU |
|
200 million CFU |
|
500 million CFU |
L-Arginine |
|
|
|
124 mg |
|
Lemon Balm Extract |
|
|
76 mg |
|
|
L-Glycine |
152 mg |
|
126 mg |
177 mg |
152 mg |
L-Lysine |
|
|
|
|
406 mg |
L-Tyrosine |
152 mg |
|
126 mg |
177 mg |
152 mg |
Lutein |
59 mg |
|
49 mg |
|
59 mg |
Magnesium |
758 mg |
735 mg |
727 mg |
727 mg |
|
Mastic Gum Extract |
257 mg |
|
|
257 mg |
|
Mulberry Leaf Extract |
|
1000 mg |
|
1000 mg |
|
N-Acetyl-L-Cysteine (NAC) |
509 mg |
|
|
509 mg |
|
Nettle Extract |
|
|
|
|
209 mg |
Olive Leaf Extract |
|
|
299 mg |
|
|
Oregano Leaf |
|
|
|
|
74 mg |
Panax Ginseng Root Extract |
|
|
99 mg |
139 mg |
119 mg |
Phosphatidylcholine |
|
|
304 mg |
|
|
Phosphatidylserine |
92 mg |
|
76 mg |
|
92 mg |
Phygeum Bark Extract |
99 mg |
|
|
|
|
Psyllium Husk Fiber |
2000 mg |
|
|
|
2000 mg |
Pumpkin Seed |
385 mg |
330 mg |
385 mg |
330 mg |
|
Pygeum Bark Extract |
|
|
|
99 mg |
|
Rhodiola Root Extract |
149 mg |
|
124 mg |
174 mg |
149 mg |
Saccharomyces boulardii DBVPG
6763 |
500 million CFU |
|
|
279 million CFU |
500 million CFU |
Sage Leaf Extract |
|
209 mg |
|
|
|
Saw Palmetto Berry Extract |
224 mg |
192 mg |
224 mg |
|
|
Schisandra Berry |
239 mg |
|
199 mg |
279 mg |
239 mg |
Serrapeptase |
|
|
17 mg |
|
|
Spirulina Extract |
|
|
|
34 mg |
|
Streptococcus thermophilus
St-21 |
1 billion CFU |
470 million CFU |
|
470 million CFU |
1 billion CFU |
Thyme Leaf Extract |
|
|
|
|
79 mg |
Tinospora Cordifolia Extract |
|
|
|
|
419 mg |
Tribulus Terrestris Extract |
356 mg |
|
|
356 mg |
|
Turkey Tail Fruit Body Extract |
124 mg |
|
|
124 mg |
|
Vitamin B5 (Panthoenic Acid) |
|
|
|
20 mg |
|
Vitamin B7 (Inositol) |
|
|
|
257 mg |
|
Vitamin B8 (Biotin) |
|
99 mg |
|
|
|
Vitamin C (Ascorbic Acid) |
|
|
|
|
353 mg |
Xylo-oligoaccharides (XOS) |
1550 mg |
|
|
750 mg |
1000 mg |
Zeaxanthin |
59 mg |
|
|
69 mg |
|
Zinc |
|
|
|
|
59 mg |
|
|
|
|
|
|
Total Supplements |
28 |
30 |
37 |
34 |
30 |
Total Probiotics |
19 |
18 |
18 |
18 |
19 |
The units for the supplements above are the dosage per day.
I am manually copying over the information from printed PDF files that I have saved (from the Viome web interface). I think sometimes information might have gotten cut-off (and/or the screenshot did not contain all of the recommendations), since the sum don't exactly match the numbers that I recorded closer to the time when results were returned. However, I did confirm the numbers themselves at the beginning of what was saved (and available on the GitHub page), which is what I report at the bottom of the table above.
If I test any of these recommendations and I have adverse reactions, then I will submit separate FDA MedWatch reports. In my previous experience, when I tested a subset of a much smaller number of recommendations (blog post and MAUDE report for Theanine), I had some adverse reactions to supplements recommended based upon my genotypes. However, I am currently hesitant to test any of these supplement recommendations from Viome.
I believe that I previously got headaches with high doses of zinc, and I noticed some amount of recommended zinc from my 4th stool sample (but not any of the other stool samples). I noticed some other metals (like magnesium and chromium), but I hope somebody with more of a medical background might have more of an ability to guess the chances of causing harm before doing any testing.
Either way, you can certainly see noticeable changes in the recommendations, including the 1st 2 measurements from the same sample.
I believe somewhat more complicated machine-learning methodology is used for these predictions. While I am not 100% certain, results like this wonder if there could be some sort of over-fitting. If that is true, then the helpfulness/utility in independent samples may be lower for the machine learning model than a simpler model. However, the only thing that I can say for certain is that there is noticeable variation without implementing any changes in my diet or medication, and I am hesitant to test any of these predictions.
Please click here to return to the overall summary.
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