Some 3 years ago, in this post I update my earlier post from 2013 and cited “, it is my hypothesis that this alters the microbiome — how, has still to be reported. “. There has been no objective impact on the human microbiome reported yet :-(.
Assuming that depression is partially microbiome caused (see this list of bacteria shifts seen with depression) then we have circumstantial evidence that they are changes (but do not know the details in humans). We do have information from one study on mice (see bottom of post)
” FIR requires modulations of janus kinase 2 / signal transducer and activator of transcription 3 (JAK2/STAT3), nuclear factor E2- related factor 2 (Nrf-2), muscarinic M1 acetylcholine receptor (M1 mAChR), dopamine D1 receptor, protein kinase C δ gene, and glutathione peroxidase-1 gene for exerting the protective potentials in response to neuropsychotoxic conditions.”
A reader of that page presented me with a challenging question: “Which probiotic would reduce ….. ?” I checked the US National Library of Medicine studies — nothing. I am a lateral thinker (read Edward de Bono since I was a teenager) and it occurred to me that, theoretically, we can use data from KEGG: Kyoto Encyclopedia of Genes and Genomes because they have the gene sequence of many probiotics and thus their enzymes. Enzymes are mini-factories that consumes some metabolites and produces other metabolites. There are 5200+ different compounds reported on KEGG.
Since I have all of the data in a friendly (to me) datastore, it was just a matter of constructing a few complex queries and creating some web pages. The result was this page: Probiotics to Change KEGG Compounds
In the video below, I walk thru how we use OATS result and this page. Other test results can be used. OATS happened to be inspiration for this feature.
I am a 26 year old male living in Germany. I have a M. Sc. iIn 2018, I did a semester abroad in St. Petersburg, Russia, and during the exam period got IBS. I think stress and/ or vegan diet, which I only tried for a few months, played a role. Extremely low Vitamin D was found, but nothing else.
I developed a lot of food intolerances since then.
In April 2021 I got a Biontech vaccination, and in the following days, noticed that I was tired all the time. It did not get better. I was barely able to finish my Masters Thesis as it was almost finished, but could not start working. Long story short, I now have a lot of the common CFS symptoms, additionally my hair fell out and low testosterone was found.
From a reader
Some technical notes: It cannot be diagnosed as CFS because it has not lasted long enough. It can be viewed as post-immune reaction syndrome. Second, I too have concerns about post-immune reaction syndrome this year, to explain why:
Three COVID 19 vaccinations
Two Singles vaccinations
After each, I saw my system “act up”, Some measurable — such as a jump in blood pressure that took a couple of weeks to calm down. More often, i was dragging for a couple of weeks. Night Sweats. skin inflammation, etc.
To Vac or Not to Vac — that is really not the question. It is equivalent to saying “I will not wear a seat belt in case the car plunges into a lake and traps me in the car” The risk of that happening is very low compare to the risk of not wearing a seat belt. There is no rationality that can supported by rational analysis.
Some studies showing that vaccination does alter the microbiome.
Human studies have likely not been done because they will be misused by “anti-vaccination” people. We can be confident that changes will happen. The nature of the change will depend on the prior state of the microbiome – an unstudied area. The change from each vaccine will likely be different.
I should mention that I have read several personal reports of major improvement of microbiome conditions as a result of vaccination. A percentage may go either way.
Where do we go from here?
We have 3 sets of microbiome changers – stress, IBS and vaccination. Food intolerance was something of interest — alas, I could not find anything on PubMed that identifies bacteria associated with it. Doing a quick scan of my Biome View, nothing really stood out.
In terms of consumers, the highest percentile was 75.3%ile, In fact most of the consumed items appear ‘balanced’
Because events were recent, we have high volatility in the microbiome’s bacteria. I saw similar at the start of my relapse… the various clans of bacteria are fighting each other with short term victors of one group and then a reversal.
The apparent issue is massive overproduction of compounds!!! How to address that may mean that I need to add more code to identify the key bacteria responsible and thus the page changed as shown below. This is a logical but experimental novel approach.
The result is shown below:
The result is show below. None were very high by themselves, Five were around 75%ile
From this hand pick selection, we proceed to get suggestions. The results are shown below
and the to-avoid
This looks similar to what I often see with ME/CFS people. That is, breakfast porridge made from barley with inulin and wheat bran with walnuts (which is my own regular breakfast!) with yogurt containing lactobacillus plantarum. There are some interesting studies in this area:
After getting to this point, the reader reported some recent lab results. Some are of interest:
Vitamin D was just 28% into the normal range, so the vitamin D suggestion above is reasonable
His coagulation factor II (G20210A/G) was at the high end of normal — I have the same coagulation issue and found that turmeric with black pepper or piracetam helps greatly — especially with brain fog and slowness.
Issues causing hypercoagulation (thick blood) was shown to be common with ME/CFS by David Berg back in 1999, for articles and townhall transcripts (hosted by me!) see this page. This appears of part of this person’s causality.
Neither G20210A nor Protein S are likely to be deemed clinically significant, thus my personal preference (regular heparin taken sublingual, held for 1 minute and then spitted out) is unlikely to be prescribed.
Prior to my getting my first COVID vaccine, I had concerns about it triggering coagulation – an ongoing ME/CFS risk. The reason was simple, vaccines triggers an immune reaction — milder than having COVID — but still an immune reaction. COVID was at that time, well known to produce coagulation issues (Abnormal coagulation parameters are associated with poor prognosis in patients with novel coronavirus pneumonia April 2020) so they was a risk. The severity would likely be far less than that of COVID, but still enough to push someone with borderline coagulation issue across into ME/CFS. This appears to be correct as shown by some studies, a few are:
The microbiome is just a part of a health analysis, a significant part but far from being complete. We have a model for the tiredness. IMHO, non-prescription anti-coagulation treatments may eliminate it over a few months.
We are going to do two approaches that are connected.
Coagulation — which appears to be caused by the bacteria of concern (a topic that I cover on CFS Remission)
Bacteria — the ones that appear to be causing over production of many compounds
Reducing some of the bacteria cited above will likely also help, since many are known to cause coagulation:
“These results indicated that Bacteroides sp. and F. mortiferum can accelerate blood coagulation in vivo ” 
“Bacteroides fragilis, Bacteroides vulgatus, and Fusobacterium mortiferum …. demonstrate that LPS of selected gram-negative anaerobes activate HF and thereby initiate the intrinsic pathway of coagulation.” 
Interaction of Bacteroides fragilis and Bacteroides thetaiotaomicron with the kallikrein-kinin system 
“Bacteroides fragilis and Bacteroides thetaiotaomicron, were found to bind HK and fibrinogen, the major clotting protein, “
Unhappy Triad: Infection with Leptospira spp. Escherichia coli and Bacteroides uniformis Associated with an Unusual Manifestation of Portal Vein Thrombosis 
Some questions from reader:
“The only probiotic I will add is lactobacillus plantarum. (Or also lactobacillus rhamnosus gg?) I will have to rotate that. Here is the question: I would also like to address IBS. I read on cfsremission that some probiotics, like Prescript Assist, could lead to IBS remission. Prescript Assist was also 2nd place on the KEGG recommendations, although you said the weights were marginal. Would it be not unreasonable to try Prescript Assist at some point, to address IBS?“
Yes, I would suggest two-four weeks on a probiotic and then rotate to the other
PubMed was searched from April to July of 2019 using predefined search terms “dehydration,” “exercise,” and “allergy responses.” Based on the reference search, more than one-hundred articles were identified Also, numerous mast cells and eosinophils were recruited, therefore isotype switching to IgE antibodies occur, this hypersensitivity activates mast cell degranulation. After degranulation, proteases, leukotrienes, prostaglandins, and histamine lead to many kinds of allergy symptoms.
The event that caused me to start looking at hydration, was a cheap home hydration device — a modern blue tooth scale, the one below. Currently $20.
As a result, because I was definitely dehydrated (but did not feel dehydrated — because that had been my new norm!) and proceeded to work on increasing hydration. At the start, I was 45.4% and have slowly worked it up to the current 47.2%. My goal is at least 57%, the middle of the normal range (ideally over 65%). My significant other has mast cell issues and was sitting well below 45% and is working on this change. One of the challenges is finding alternatives for items she takes that are known to cause dehydration — including antihistamines.
Antihistamines, Blood pressure medicines, Chemotherapy, Diuretics, Laxatives. (U of Michigan)
So there is the appearance of a feedback loop: dehydration triggers mast cells, which result in the need for antihistamines, which then causes dehydration. The person is trapped!
In terms of the microbiome environment, we can see the impact from this study
Dehydration was accompanied by cell changes in solitary lymphoid nodules and Peyer’s patches. The proportion between lymphocytes, macrophages, and mast cells in lymphoid organs depended on the stage of dehydration. The inhibition of cell mitoses, disappearance of mature plasma cells and mast cells (per field of view), significant decrease in lymphocyte count, 4-5-fold increase in the number of destructive cells, and low density of cells and lymphatic network of the small intestine (per unit area) were observed on days 6 and 10 of dehydration. Severe morphological changes were also revealed in other layers of the small intestinal wall (mucosa, submucosa, lamina propria, etc.).
Hydration plays a very important role for health. Drinking 6 liters of water/day is the classic health advice. This may be a over simplification. This area is still being studied. “As the most effective sports nutrition supplement, sports beverage has different ingredients and formulas, and also has various effects. To provide clues for the development of sports beverage, this article reviews the types, components, effects, and mechanisms of sports beverage currently used in post-exercise fluid restoration.”[Research Progress on Application of Sports Beverage to Post-exercise Fluid Restoration, 2021] So some sports drink may help, some may have little effect.
An unexpected side effect, I did not change my diet habits but with the shift of hydration, I also lost 12 lbs (6 kilos) over 7 weeks.
This page will search over 3000 studies on the US National Library of Medicine for studies that:
Used probiotic strains that are available as retail products
Mentions the word you search for in the study
We then add the name of the product containing it, with a link to a site selling it. There may be other products that also include it.
Why I react to one probiotic but not the other
This does a cascade, from the probiotic mixture we look at all of the species/strains in it, then we go over to the KEGG: Kyoto Encyclopedia of Genes and Genomes and lookup the enzymes being produced by these bacteria. From these enzymes, we look up the products being produced.
When you compare two probiotics mixtures, you may not that one produces a lot more of some products than the other. These are likely candidates for why you have a different response.
This is a special, off topic post resulting from some readers request. It is particularly important in the face of Omicron.
As always, I use gold standard sources:
Off-Label use of some Prescription Medicine
Bacillus calmette-guerin [Tuberculosis] vaccination.  decrease risk by 50%
“Despite some controversies, numerous studies have reported a significant association between the use of ACE inhibitors and reduced risk of COVID-19″ 
“The results obtained from this study showed that Ramipril, Delapril and Lisinopril could bind with ACE2 receptor and [SARS-CoV-2/ACE2] complex better”  – these are often prescribed for high blood pressure and appear to drop the levels of ACE2 significantly within a week.
“The findings from our study suggest that zinc supplementation in all three doses (10, 25, and 50 mg) may be an effective prophylaxis of symptomatic COVID-19 and may mitigate the severity of COVID-19 infection. “
“This meta-analysis indicates a beneficial role of vitamin D supplementation on ICU admission, but not on mortality, of COVID-19 patients.” 
” There is no data from interventional trials clearly indicating that vitamin-D supplementation may prevent against COVID-19.” [Dec 2021]
“Evidence supporting the therapeutic use of HDICV(high-dose intravenous vitamin C) in COVID-19 patients is lacking.” 
Withania somnifera [Ashwagandha] showed the highest binding affinity and best fit … may reduce the glycosylation of SARS-CoV-2 via interacting with Asn343 and inhibit viral replication. 
Withania somnifera as a safer option to hydroxychloroquine in the chemoprophylaxis of COVID-19: Results of interim analysis 
“. Overall, the simulation run confirms the stability and rigidity of the interactions of Withanolide R and 2,3‐Dihydrowithaferin A from Withania somnifera to be the most potent phytochemical inhibitor for the main protease and the spike protein respectively. ” 
Health problems started at 16 years(possible overtrainig).
Every night my body collapses,
my nose gets extremely red (rosacea),
pulse rises and it feels strange in my body.
Delayed if does not eat dinner.
Feel very tired and can’t work out or even go short walks without getting tired (
mild CFS – diagnosed by a healthcare practitioner at 25 years
Frozen/poor circulation in the body.
My body feels stressed,
Always feel and hear my pulse in the ears/head.
Problem with allergies/hypersensitivity to pollen, animals, strong fragrances, and against a lot of foods that I find difficult to identify.
Starting to get a lot of grey hair (none of my parents got grey hair in such a young age).
Diagnosed with SIBO 2 years ago.
Diagnosed with Epstein-Barr virus 4 years ago.
I have done a lot of different protocols but it none really help. Most beneficial for the red nose (rosacea) is eating a diet is consuming low meat, low fat, low starch and eat a lot of fruits, juices and smoothies.
Comment: My own experience dealing with a ME/CFS relapse was that they first test-change-retest cycles had little/slow progress (See my progress reports). He reported some positive change from the first cycle,
“, mast cells (MCs) have emerged as key players in the pathogenesis of rosacea through the release of pro-inflammatory cytokines, chemokines, proteases, and antimicrobial peptides’  – hints at DAO and mast cell stabilizers
“Only 17% of those with rosacea were impaired by sunlight, whereas 26% improved. In the rosacea group, “ – hints at Vitamin D
“Serum vitaminD was lower in patients with rosacea” 
“The present study suggests that an increase in vitamin D levels may contribute to the development of rosacea. ApaI and TaqI polymorphisms, and heterozygous Cdx2, wildtype ApaI and mutant TaqI alleles were significantly associated with rosacea.” 
SHORT FORM: Positive or negative response to sunlight/vitamin D depends on DNA
Looking at Suggestions from 1st Analysis
For a starting point, I used Advanced Suggestions. NOTE: The database is constantly being updated so suggestions on the same sample may change over time.
The results include some high weight items that was not included in his protocol. I checked if there was any results from clinical studies for Rosacea that used probiotics — I could not find any, thus the use of probiotics in a novel treatment approach. mutaflor escherichia coli nissle 1917 (probiotics) was included in take (so Symbioflor-2 is a valid substitution)
It is interesting that Lactobacillus casei and L. paracasei degrades histamines [Post 2021] which should improve allergies/hypersensitivity reported.
Please note that some probiotics are on the to-avoid list, including:
The suspected cause being overtraining lead me to the shifts know to occur. The literature is below
Intensive, prolonged exercise seemingly causes gut dysbiosis in female endurance runners. Journal of clinical biochemistry and nutrition (J Clin Biochem Nutr ) Vol: 68 Issue 3 Pages: 253-258 Pub: 2021 May Epub: 2020 Oct 31 Authors Morishima S , Aoi W , Kawamura A , Kawase T , Takagi T , Naito Y , Tsukahara T , Inoue R , SummaryHtml ArticlePublication
Rapid gut microbiome changes in a world-class ultramarathon runner. Physiological reports (Physiol Rep ) Vol: 7 Issue 24 Pages: e14313 Pub: 2019 Dec Epub: Authors Grosicki GJ , Durk RP , Bagley JR , SummaryHtml ArticlePublication
Physiological and Biochemical Effects of Intrinsically High and Low Exercise Capacities Through Multiomics Approaches. Frontiers in physiology (Front Physiol ) Vol: 10 Issue Pages: 1201 Pub: 2019 Epub: 2019 Sep 18 Authors Tung YT , Hsu YJ , Liao CC , Ho ST , Huang CC , Huang WC , SummaryHtml ArticlePublication
Improvement of non-invasive markers of NAFLD from an individualised, web-based exercise program. Alimentary pharmacology & therapeutics (Aliment Pharmacol Ther ) Vol: 50 Issue 8 Pages: 930-939 Pub: 2019 Oct Epub: 2019 Jul 25 Authors Huber Y , Pfirrmann D , Gebhardt I , Labenz C , Gehrke N , Straub BK , Ruckes C , Bantel H , Belda E , Clément K , Leeming DJ , Karsdal MA , Galle PR , Simon P , Schattenberg JM , SummaryPublicationPublication
Home-based exercise training influences gut bacterial levels in multiple sclerosis. Complementary therapies in clinical practice (Complement Ther Clin Pract ) Vol: 45 Issue Pages: 101463 Pub: 2021 Jul 30 Epub: 2021 Jul 30 Authors Mokhtarzade M , Molanouri Shamsi M , Abolhasani M , Bakhshi B , Sahraian MA , Quinn LS , Negaresh R , SummaryPublication
Are nutrition and physical activity associated with gut microbiota? A pilot study on a sample of healthy young adults. Annali di igiene : medicina preventiva e di comunita (Ann Ig ) Vol: 32 Issue 5 Pages: 521-527 Pub: 2020 Sep-Oct Epub: Authors Valeriani F , Gallè F , Cattaruzza MS , Antinozzi M , Gianfranceschi G , Postiglione N , Romano Spica V , Liguori G , SummaryPublication
Effect of an 8-week Exercise Training on Gut Microbiota in Physically Inactive Older Women. International journal of sports medicine (Int J Sports Med ) Vol: Issue Pages: Pub: 2020 Dec 15 Epub: 2020 Dec 15 Authors Zhong F , Wen X , Yang M , Lai HY , Momma H , Cheng L , Sun X , Nagatomi R , Huang C , SummaryPublicationPublication
The influence of exercise training volume alterations on the gut microbiome in highly-trained middle-distance runners. European journal of sport science (Eur J Sport Sci ) Vol: Issue Pages: 1-0 Pub: 2021 May 26 Epub: 2021 May 26 Authors Craven J , Cox AJ , Bellinger P , Desbrow B , Irwin C , Buchan J , McCartney D , Sabapathy S , SummaryPublication
Although it was a long time ago for the over-exercising, I decided to see if some of the changes may have the appearance of long term persistence. Running the known shifts against the two samples, I was actually surprised to see the earlier test had far more matches to the literature than the last test. Some items dropped off and only one item was added. Given that he had been implementing suggestions between the two samples, the improvement is nice to see.
Early Test Percentile
Last Test Percentile
Eubacteriales Family XIII. Incertae Sedis
Continuing this logical exercise, “What would be suggested if I keep my scope to counteracting only the shifts that may be ascribed to over-exercising?” This assumes that the over-exercised shift created a stable dysfunctional microbiome that persisted. To do this, I used my Biome View and hand picked the above items. Many of the items are also on the list above.
With one probiotic being well suggested (but likely difficult to get except by mail order). I included prescription items in the choices — none made it on the to add list, many appear on the to avoid list.
In terms of Flavonoids, Apples (I recall that at least 2 a day were needed from a study that I read recently) and Almonds (perhaps marzipan could work similarly… no studies, but given where he is, marzipan is definitely available)
Evaluating things tried
I recently added the ability to compare two samples in the light of taking some microbiome modifier (see this post for more details)
Week 1-2: Rifaximin (as I understand you are not a fan of Rifaximin, but it was one of my top modifiers and I am also diagnosed with SIBO and have huge issues with rosacea on the nose). Results: AGREES 25, DIFFERS:23
Week 3-4: HMO Week AGREES: 62 DIFFERS:58
Resveratrol, AGREES: 45 DIFFERS:40
D-ribose (which I’m going to continue taking) AGREES: 6.2 DIFFERS:2.4
DAO (Nothing in database)
Week 7-8: Symbioflor 2. AGREES 0.5 DIFFERS:4.6
I decided to checked Mutaflor (it’s siblings) AGREES 4.1 DIFFERS 2.4
The goal of this website has always been “Better suggestions than random suggestions”. In our review above, we found that AGREES > DIFFERS except for Symbioflor-2. The shifts seen more typical for Mutaflor (E.Coli Nissle 1917 probiotic). What I found most interesting was that the modifier that the reader has decided to continue, d-ribose, was also the one with the best ratio between Agrees/Differ. D-ribose has been documented to improve ME/CFS and FM (see this post for study links)
I was pleased to see almost every modifier had positive impact, but wish the amount was more.
There is a tendency to try to fix everything at one time. My preference is to focus always on one to two items between tests. We have two threads — Rosacea and Over-exercising. Suggestions are similar and I would say run with it for 2-3 months and then retest.
As illustrated here (and in this prior review), we have some objectivity in evaluating the effectiveness of microbiome modifiers between samples — it should be helpful in improved picks over a series of samples.
If we review genus as an ethnic groups, we find over 3,365+ groups – each distinctive
Species are the equivalent of small business, community groups – we have 10,567+
Strains could be viewed as the individuals.
Some strains (people) are criminals and some community leaders
To understand what is happening in the cities, we need to get data / characteristics
What foods are sent to the city
What products are exported from the city
What are the sources of energy for the city
How may people come in or leave by ethnic groups
What type of waste is produced by the city
What types of crimes happen in the city
From this information, we may gain insight into how to administer and change the city.
All of the above, except for End Products(Obsolete). This information is obtained from lab studies cultivating bacteria. Data is really hit and miss.
All of the other statistics is done using gene data from KEGG: Kyoto Encyclopedia of Genes and Genomes. Once the bacteria has been sequenced, all of this information can be computed. This works for both bacteria that can be cultured and those (most) that cannot be cultured in a lab.
Where do you find this data on Microbiome Prescription?
Seeing changes between Samples
When you have multiple samples, this line will appear. Multiple Samples Comparison is the button
These reports are the same as above – except you have numbers from different samples side by side
What is the difference between Outliers and Full Report?
Outliers ( AKA out of range) gives you the ability to filter by percentile OR use the Kaltoft-Moldrup Limits
The full range gives a much larger list (often hundreds) with filtering limited to the Search box on the page.
Above is for an individual sample — so you are given a list of your samples and the page will automatically update when you change samples.
For the multiple sample compare, you have already selected the samples and cannot change them from the page. You can go back to the selection page and pick different samples.
For multiple sample outliers — if one sample has an outlier, then the values of other samples will also be shown. The outliers are color coded:
The reader provide the following history (shortened)
Sample BiomeSight:2021-02-24 In addition to my usual CFS symptoms I had a lot of trouble with gastritis. I was taking Slippery Elm, Marshmallow root, DGL, melatonin, magnesium, probiotic Bio.me Femme UT. I mostly avoided other supplements due to gastric issues. When the results came back I was only able to eat a few foods, so I couldn’t really follow the suggestions. I decided to wait until my stomach got better and retest.
Sample BiomeSight:2021-08-23 Taken after I’ve been on PPIs for 3 months. I haven’t been eating dairy for months which decreased B. Wadsworthia somewhat. I ate a lot of soy milk and soy yogurt. Mostly gluten-free, but eating lots of oatmeal. The combination of PPIs and yogurt made Streptococcus Thermophilus very high. The supplements at the time were melatonin, magnesium, zinc carnosine, d3 & k2, vit A, Omega 3, probiotic Bio.me Femme UT, occasional Slippery Elm to calm the stomach.
After I got results back I started taking: – Miyarisan (Kegg AI Computed Probiotics), – glycine (Kegg AI Computed Supplements), – inulin, burdock root, L. Rhamnosus, L.Reuterii, almonds, oregano tea (suggestions from Targeted bacteria based on symptom Impaired memory & concentration). I alternated modifiers so I wasn’t taking all of them all of the time.
I stopped: – vit A and Slippery Elm (suggestions from Targeted bacteria based on symptom Impaired memory & concentration) – yogurt (high S. Thermophilus)- oatmeal (it seemed to cause hypoglycemia. Replaced with tsampa – roasted barley flour)
Interestingly, Kegg AI Computed Supplements at level <15% reported Iron and 6 weeks later I was found to be anemic. That was an excellent prediction! I wish I would have gone and tested my iron status right away.
Sample BiomeSight:2021-11-28 Still on PPIs. Taken one month after I started taking prescription iron pills and lactulose to help with resulting constipation. Still eating soy milk daily, but no dairy, no yogurt. Taking more supplements at this point.
Reading the history, my first question is to see if the predicted shifts from doing PPI (Proton Pump Inhibitors) is reflected between samples. Keep in mind that there are other microbiome compounders (i.e. other eating pattern changes). To this end, I’ve created a new page where you can pick a before, after and a modifier.
What is interesting to note is that the impact diminished overtime (80 -> 65). This agrees with my base model that rotation and re-testing is essential.
We can do combinations, for example PPI and melatonin between first and second sample. We lack studies on combinations and thus have to resort to this experiential approach to see how well predictions agree with actuals.
At the bottom of the pages, you get the details:
If a substance did not cause more improvements(Agrees versus Differs), then they are possible items to drop. Remember, the suggestions are theoretical prediction looking at many hundreds of bacteria. This allows you to objectively measure whether they worked well for you! They will not work for every one because of differences in DNA, diet, gender, age etc. I spot checked items like Slippery Elm (46.8 Agrees, 27 Differs), Miyarisan (KEGG Suggestion) (40.8 Agrees, 15 Differs) and was pleased with the results.
Looking at the next Step
Above, we (to my delight) verify that the suggestions are causing changes in the predicted direction for this person (based on their microbiome samples). Looking at predicting symptoms, we had 72% correct for the top 11 items ( So where do we go from here? Remember, the goal is to focus on the bacteria that likely contributed the most to the dysfunction (often high ones)
From KEGG, the best probiotic is Sun Wave Pharma/Bio Sun Instant, if it is available. It has several species suggested in it.
Looking at KEGG Products out of range — 7 were too low and 190 were too high. We are looking at an overproduction scenario.
I looked thru the predicted symptoms bacteria and there were a lot of secondary matches(shown with a # but very few direct matches. When we moved on to KM outliers, we had 25 items listed — 2 families and 5 genus with these items of considerable note — both for high percentile and high numbers:
So I did a hand picked with just these more extreme values. I tossed in everything we had. No prescription items showed up on the to take, but many (and a few b-vitamins) showed up on the to avoid list.
We also note that the Unhealth Bacteria page, was full of Streptococcus
I tossed all of these into our hand-picked list and ask for new suggestions — the suggestions did not change expect for minor shifts of confidence.
Two probiotics: lactobacillus plantarum (probiotics) and the mixture Sun Wave Pharma/Bio Sun Instant. I see the recommendation leads to the same type of breakfast that is regular for me: Barley/Oats with inulin and wheat bran. For all of the items, make sure you check the dosage links (where available)
The Microbiome is like a city full for billions of bacteria (people).
Some items produced in the city are consumed in the city – for example, Bakery products
Some items are imported into the city – for example, Wheat to make bread
Some items are exported from the city – for example, factory goods
Similarly there are compounds / chemicals in the microbiome. Some imports may be coming from food or cells in the body, products out to be going to cells or into urine, some products are consumed by other bacteria
The intent of this new page is to attempt to get estimates of these flows. These are crude estimates because they depend on two things — the bacteria species identified by the lab (different labs detect different species) and whether the full genes of each species is in KEGG.
The flow is simple as illustrated below
The Stool sample is sent to a lab
The lab process it and produces a data file (“Fastq”)
The lab runs it thru software that produces a list of bacteria and their count
We then take all of the species reported that are found in KEGG and compute the count of enzymes. We assume one bacteria produces one enzyme.
From the totals of each enzymes, we go back to KEGG to find what is consumed (Substrate) by the enzyme, and what is produced by the enzymes. Again, we assume 1 unit of compound is produced for 1 unit of enzyme.
We total all of the compound being produced and consumed.
We then get the distribution over all samples and compute a percentile value for each.
Needless to say, that is a lot of calculations — a lot!
The New Page
The page is under Component Analysis as shown below
When the page for a sample loads, you may be missing the percentiles. This is done because of the amount of calculation involved, it is not done automatically.
At the top of the page is a button, just click it and wait a little while and the percentiles will appear
Use the search button to find items that you are interested in, For example, in how much of D-Lactic and L-Lactic acid is being produced and consumed. High D-Lactic acid is associated with brain fog. Remember that comparison must be done with the same lab software identifying.
This is likely a useful tool for tracking changes between samples. Go to it and add comments when you find interesting things.