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. [2021] 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″ [2021]
“The results obtained from this study showed that Ramipril, Delapril and Lisinopril could bind with ACE2 receptor and [SARS-CoV-2/ACE2] complex better” [2021] – 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. “[2021]
“This meta-analysis indicates a beneficial role of vitamin D supplementation on ICU admission, but not on mortality, of COVID-19 patients.” [2021]
” 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.” [2021]
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. [2021]
Withania somnifera as a safer option to hydroxychloroquine in the chemoprophylaxis of COVID-19: Results of interim analysis [2021]
“. 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. ” [2020]
This search gives other interesting leads for substance that may help based on Network Pharmacology, many of them are herbs used in Chinese medicine. Some candidates are:
Health problems started at 16 years(possible overtrainig).
Symptoms:
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
Brain fog.
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,
Microbiome Tests
First microbiome test in late August, 2021. Upload to Microbiome Prescription resulted in the following protocol:
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).
Week 3-4: HMOWeek
5-6: Resveratrol, D-ribose (which I’m going to continue taking) and DAO.
Week 7-8: Symbioflor 2.
From this changes, he reported a little more energy, but no real progress with my rosacea. Biomesight is processing his second test – will be ready in 1-3 weeks.
He is able to get antibiotics prescribed and He is also willing to take antibiotics.
Analysis
Rosacea
Rosacea is one of the conditions that I maintain in my US National Library of Medicine microbiome shifts list [rosacea]. The number of studies is few. In keeping with best practices (combining clinical studies with microbiome results) I checked Clinical Studies, I found Rosacea: Treatment targets based on new physiopathology data[Dec 7, 2021] lists “treatment targets and possible treatments:
permanent vascular changes (medical and instrumental treatments);
flushing (betablockers, botulinum toxin);
innate immunity (antibiotics, nonspecific antioxidants and anti-inflammatory molecules);
a neurovascular component (analgesics, antidepressants);
Demodex (antiparasitic drugs);
microbiome;
skin barrier impairment (cosmetics and certain systemic drugs);
So, approaching it via the microbiome is in agreement with latest clinical practice. We should be aware that “Frozen/poor circulation” and “vascular changes” hints at a possible co-factor.
“there is a lack of well-designed and controlled studies evaluating the causal relationship between rosacea and dietary factors.” [2021]
“Rosacea is triggered by hot and spicy food” [2021]
Reviewing literatures for Treatments and Clinical Studies
“, 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’ [2021] – hints at DAO and mast cell stabilizers
silymarin/methylsulfonilmethane [2008]
“Only 17% of those with rosacea were impaired by sunlight, whereas 26% improved. In the rosacea group, “[1989] – hints at Vitamin D
“Serum vitaminD was lower in patients with rosacea” [2018]
“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.” [2018]
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
Citation
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.
tax_name
tax_rank
Early Test Percentile
Last Test Percentile
Acidobacteria
phylum
2.18
Actinobacteria
phylum
7.85
3.91
Akkermansia
genus
0.71
Akkermansia muciniphila
species
0.85
Burkholderiales
order
26.90
Chroococcales
order
3.24
26.00
Clostridiaceae
family
97.81
98.68
Deferribacterales
order
86.6
Eubacteriales Family XIII. Incertae Sedis
family
14.75
6.56
Hyphomicrobiales
order
2.53
Moorella group
no rank
2.54
Prevotella bivia
species
75.47
Proteobacteria
phylum
13.97
14.64
Ruminococcaceae
family
21.02
8.95
Streptococcus australis
species
87.87
83.60
Streptococcus thermophilus
species
83.16
Streptococcus vestibularis
species
75.94
Sutterellaceae
family
18.94
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
5-6:
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.
Other Threads?
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.
The statistics available about the Microbiome 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?
Outliers are grouped to help analysis by bringing out items of probable significanceTo see ALL of the data go here
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
All of the choices available above are listed here.
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)
Person’s Narrative
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.
Analysis
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.
New page shows when you have multiple samples. It will be there after an upload (regardless of membership status)Before sample vs first sample after PPI startedbefore sample until latest sample
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.
Bottom Line
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)
Click on the rulers to see what dosages have been used in clinical studies (thus can be assumed to be safe)
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
This page will be restricted in 2022, at present, all may use it.
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.
On First Load
At the top of the page is a button, just click it and wait a little while and the percentiles will appear
After clicking
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 similar to Kombucha, see my prior post from 2017 here. Every species (and strains) have different impacts and I prefer to reduce the risk of adverse outcomes.
“Similarly to milk-derived kefir, the exact microbial composition of kombucha cannot be given because it varies. “
Great good can come from Kefir, for example, the probiotic Lactobacillus Kefiri LKF01 (DSM 32079) LKEF. It was discovered after investigating dozens of different Kefirs. See this 2017 post on this probiotic.
Kefir can contain many different species and families — including [2008] [2021] [2015] [2011] [2006]
The grains used, the processes and environment, all contribute to variable outcomes.
Bottom Line
I have a strong bias in wanting to know precisely what bacteria are being taken. “Fermented drinks are good” is gospel for many…. for me, it is randomness… some people will do good and some will not – often dependent on the brand, or how it was fermented….. I am risk adverse…
Kefir grains could come salted with specific bacteria (to increase the odds) — but I would expect that the provider would provide information on the strains and links to the literature for each.
This list (with live time updates as data is added) on Microbiome Prescription web site. All suggestions from this page should be reviewed by your medical professionals. These are based on modelling and not clinical studies. These are based on family and lower taxonomy ranks (genus,species,strains) reported in studies on US National Library of Medicine.
In general, people report improvements from at least half of the items on the top of the list for other conditions. Many items listed have been reports in clinical studies to help a significant percentage of patients.
Reversion of Gut Microbiota during the Recovery Phase in Patients with Asymptomatic or Mild COVID-19: Longitudinal Study. Microorganisms (Microorganisms ) Vol: 9 Issue 6 Pages: Pub: 2021 Jun 7 Epub: 2021 Jun 7 Authors Kim HN , Joo EJ , Lee CW , Ahn KS , Kim HL , Park DI , Park SK , if(open==true){ } SummaryHtml ArticlePublication
The gut microbiome of COVID-19 recovered patients returns to uninfected status in a minority-dominated United States cohort. Gut microbes (Gut Microbes ) Vol: 13 Issue 1 Pages: 1-15 Pub: 2021 Jan-Dec Epub: Authors Newsome RC , Gauthier J , Hernandez MC , Abraham GE , Robinson TO , Williams HB , Sloan M , Owings A , Laird H , Christian T , Pride Y , Wilson KJ , Hasan M , Parker A , Senitko M , Glover SC , Gharaibeh RZ , Jobin C , if(open==true){ } SummaryHtml ArticlePublication
Gut Microbiota May Not Be Fully Restored in Recovered COVID-19 Patients After 3-Month Recovery. Frontiers in nutrition (Front Nutr ) Vol: 8 Issue Pages: 638825 Pub: 2021 Epub: 2021 May 13 Authors Tian Y , Sun KY , Meng TQ , Ye Z , Guo SM , Li ZM , Xiong CL , Yin Y , Li HG , Zhou LQ , if(open==true){ } SummaryHtml ArticlePublication
Gut Microbiota Interplay With COVID-19 Reveals Links to Host Lipid Metabolism Among Middle Eastern Populations. Frontiers in microbiology (Front Microbiol ) Vol: 12 Issue Pages: 761067 Pub: 2021 Epub: 2021 Nov 5 Authors Al Bataineh MT , Henschel A , Mousa M , Daou M , Waasia F , Kannout H , Khalili M , Kayasseh MA , Alkhajeh A , Uddin M , Alkaabi N , Tay GK , Feng SF , Yousef AF , Alsafar HS , if(open==true){ } SummaryPublication
The sources used for microbiome shifts
Best prediction is done when using a 16s microbiome result for the patient
This is a part of an ongoing series of posts that are intended for microbiome testing labs, or those interested in starting one. I am downstream from all of the microbiome labs and will gladly work with any of them — my main concern is making people better — not the financial bottom line.
This post looks at issues involved with selecting studies to use for giving suggestions to consumers of microbiome result. These are questions that I have looked at and have made my own choices (a.k.a. technically trade secrets).
Method of microbiome detection used
There are three main types, listed below. Do you restrict to only one? Do you give a weight to different methods, for example the values suggested after each below?
Different studies report things differently. For example some may report the % change of a bacteria average, others may provide the actual distribution, others may just report that the control or the cohort average was higher with (P < 0.5). It is like trying to buy gas – one person is offering it by the gallon in US$, another in litres in Euro, a third “sufficient fuel to drive 200 miles in a 1958 Land Rover” for 3 oz of silver.
I have my own magic in combining a multitude of studies and resolving the many many issues cited above. I encourage labs to do their own resolutions and then let people compare results (if they are in agreement, everyone should be happy). The real test is whether the suggestions work. So far, for my own experience and for a reasonable number of people that have provided feedback – they have. The suggestions may not be perfect, but my goal is to give suggestions that are more likely to help.
My short form would be to use Symbioflor-1 (to address sinus issues) and make sure that you rotate through different active ingredients in mouthwashes (and I would include my dad’s favorite: rinse your mouth with Scotch Whisky [or similar] – I will leave it to you if you spit out or not 🙂 ). I would suggest reading some of the above earlier posts.
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