Adding Common Name to Drugs and anti-viral reflection

From medical literature I have added several hundred drugs and their likely impact on the microbiome. A common problem with CFS patients is that they are only aware of some trademark name and not the standard scientific name.

I have started (it’s a long process) adding the common or trademark names to various drugs — for example Antivirals:

Before

Now becomes

after

This process will likely take a few weeks to complete.

Antivirals and CFS

I have posted about this in the past ,”Valganciclovir antiviral and CFS[2016]” and  “Valacyclovir, EBV and CFS [2016]”.

I decided to look at the microbiome shifts seen with the valacyclovir hydrochloride  antiviral,  And was quite surprise to see a high number of bacteria taxonomy are reduced — which may account for the success reported in the above post “All patients were treated subsequently with valacyclovir, with 93% having a positive response” [2014]. The other antiviral, Valcyte or Valganciclovir, is not in my sources.

So, the question must be asked — was it’s antiviral nature OR microbiome modification nature that causes the reported improvement?

Taxonomy Rank Effect
Bacteroidaceae family Decreases
Bifidobacteriaceae family Decreases
Clostridiaceae family Decreases
Coriobacteriaceae family Decreases
Desulfovibrionaceae family Decreases
Enterobacteriaceae family Decreases
Eubacteriaceae family Decreases
Fusobacteriaceae family Decreases
Lachnospiraceae family Decreases
Peptostreptococcaceae family Decreases
Porphyromonadaceae family Decreases
Prevotellaceae family Decreases
Ruminococcaceae family Decreases
Streptococcaceae family Decreases
Veillonellaceae family Decreases
Verrucomicrobiaceae family Decreases
Akkermansia genus Decreases
Bacteroides genus Decreases
Bifidobacterium genus Decreases
Bilophila genus Decreases
Blautia genus Decreases
Clostridium genus Decreases
Collinsella genus Decreases
Coprococcus genus Decreases
Dorea genus Decreases
Eggerthella genus Decreases
Escherichia genus Decreases
Eubacterium genus Decreases
Fusobacterium genus Decreases
Odoribacter genus Decreases
Parabacteroides genus Decreases
Peptoclostridium genus Decreases
Prevotella genus Decreases
Roseburia genus Decreases
Ruminococcus genus Decreases
Streptococcus genus Decreases
Veillonella genus Decreases
Akkermansia muciniphila species Decreases
Bacteroides caccae species Decreases
Bacteroides fragilis species Decreases
Bacteroides ovatus species Decreases
Bacteroides thetaiotaomicron species Decreases
Bacteroides uniformis species Decreases
Bacteroides vulgatus species Decreases
Bacteroides xylanisolvens species Decreases
Bifidobacterium adolescentis species Decreases
Bifidobacterium longum species Decreases
Bilophila wadsworthia species Decreases
Clostridium perfringens species Decreases
Collinsella aerofaciens species Decreases
Dorea formicigenerans species Decreases
Eggerthella lenta species Decreases
Escherichia coli species Decreases
Fusobacterium nucleatum species Decreases
Lactobacillus paracasei species Decreases
Odoribacter splanchnicus species Decreases
Parabacteroides distasonis species Decreases
Parabacteroides merdae species Decreases
Peptoclostridium difficile species Decreases
Roseburia hominis species Decreases
Roseburia intestinalis species Decreases
Streptococcus parasanguinis species Decreases
Streptococcus salivarius species Decreases
Veillonella parvula species Decreases
Lactobacillus casei group species_group Decreases

Contradicting Antibiotics and Prescription Impact on the Microbiome

I am just finishing a course of high dosage antibiotics for cellulitis that sent me to the hospital last week. With the http://microbiomeprescription.azurewebsites.net website data, I realized that I do not need to do random things to recover from the antibiotics.

First, the antibiotic that I was using was a cephalosporin i antibiotics that antibiotics and many many antibiotics and prescription drugs are listed at http://microbiomeprescription.com/Library/GutModifiers.

Clicking on it showed what changed:

cephalosporin i antibiotics

The following are impacted

Taxonomy Rank Effect Citations Links
Enterobacteriaceae family Increases Studies Also modified by
Pseudomonadaceae family Increases Studies Also modified by
Streptococcaceae family Increases Studies Also modified by
Citrobacter genus Increases Studies Also modified by
Kluyvera genus Increases Studies Also modified by
Pseudomonas genus Increases Studies Also modified by
Streptococcus genus Increases Studies Also modified by

I just added a link below the table:

Recommendations to contradict the shifts

When I click this, it takes me to the recommendations page.

Recommendations from cephalosporin i antibiotics Lab Results

Item    Action    Confidence value
bacillus probiotics Take 14.341
herb Take 8.041
gallic acid and tannins Take 3.507
fruit Take 3.396
antiseptics Take 2.911
triphala herb mixture Take 2.842
vitamin d cholecalciferol Take 2.773
lactobacillus casei probiotics Take 2.585
fungus Take 2.585
lactobacillus rhamnosus probiotics Take 2.585
low/no meat diet Take 2.495
neem herb Take 2.426
lactobacillus plantarum probiotics Take 2.426

etc,

Bottom Line

I have recommendations of what to take and to avoid that are specific to the antibiotic / prescription drug that I took! No random picking of stuff from the air.

In the near future, I will extend this to allow microbiome information from ubiome to be incorporated (i.e.  if you are low, and the prescription item increases it — then we attempt no correction).

This is an education post to facilitate discussing this approach with your medical professionals. It is not medical advice for the treatment of any medical condition. Always consult with your medical professional before doing any  changes of diet, supplements or activity. Some items cites may interfere with prescription medicines.

 

 

Brain Trauma’s Microbiome

On my commute today I had a conversation with an old colleague whose teenage daughter had a physical brain trauma(included cerebral ischemia) in January. As she described her symptoms, I recognized a lot of symptoms that are often seen with CFS. I also recall reading some articles about gut shifts seen with physical trauma.

Cognitive impairment is common with CFS and other autoimmune conditions.

Bottom Line

The number of bacteria taxonomy identified is lower than with other conditions but it is definitely work creating a profile on. An example with the demo ubiome result is shown below.

BT

Analysis Web Site:  http://microbiomeprescription.azurewebsites.net

This is an education post to facilitate discussing this approach with your medical professionals. It is not medical advice for the treatment of any medical condition. Always consult with your medical professional before doing any  changes of diet, supplements or activity. Some items cites may interfere with prescription medicines.

Hashimoto’s thyroiditis Microbiome Profile Added

Today I got a comment from someone with Hashimoto’s thyroiditis, often co-morbid with CFS, IBS etc.  I thought that I would check to see if there had been any microbiome work done on this condition. I was delighted to see a February, 2018 article, “Alterations of the Gut Microbiota in Hashimoto’s Thyroiditis Patients.”  and converted it results into a profile that can be applied to uBiome results.

ht

This is added to the existing series shown below

  • ADHD – Attention-deficit syndrome
  • Alzheimer’s Disease
  • Autism
  • Autoimmune Disease
  • Chronic Fatigue Syndrome
  • Diabetes Type 2
  • Crohn’s Disease
  • Depression
  • Fibromyalgia
  • Gout (Arthritis)
  • Hashimoto’s thyroiditis
  • High Blood Pressure
  • Histamine Issues
  • Inflammatory Bowel Disease
  • Irritable Bowel Syndrome
  • Metabolic Syndrome
  • Mood Disorders
  • Rheumatoid arthritis
  • Schizophrenia
  • Systemic Lupus Erythematosus
  • Ulcerative colitis

 

Analysis Web Site:  http://microbiomeprescription.azurewebsites.net

 

Reader’s microbiome changes following suggestions.

A reader wrote gave me access to their latest uBiome

“I’ve been following your probiotics protocol. I’ve been taking L. Reuterii, a mix of bifidobacterium and symbioflor 2.

I get an improvement in my brain fog and cognition, my bowel movements have become much smaller and I’m over all way more constipated. Any theories on why this might be happening? I have been taking them for months, so it’s not an adjustment period. 
I’ve tried taking them on their own. Symbioflor on it’s own doesn’t do much for me. L. Reuterii on it’s own still gives me constipation, same with the bifidobacterium.” 
The older recommendations he followed was focused on reducing high bacteria only.

Comparing the Before and Now Samples

Overall, there have been a significant improvement is the all profiles with Gout being the sole item with significant increase.

All Profiles 125 104
Allergies 6 5
ADHD 6 7
Alzheimer’s disease 5 5
Autism 9 9
Autoimmune Disease 3 3
Chronic Fatigue Syndrome 10 10
Crohn’s Disease 9 4
Depression 8 8
Fibromyalgia 1 1
Gout 3 7
High Blood Pressure 3 2
Histamine Issues 0 0
Histamine Issues From Ubiome 4 4
Inflammatory Bowel Disease 10 4
Irritable Bowel Syndrome 6 4
Metabolic Syndrome 7 4
Mood Disorders 4 3
Rheumatoid arthritis 7 7
Schizophrenia 0 0
Systemic Lupus Erythematosus 11 9
Type 2 Diabetes 8 6
Ulcerative colitis 5 2

Bacteria Shifts

Apart from two phylum (small populations usually), things have improved. As I have mentioned before — recovery is not a straight line recovery. It is moving from one island to the next until you back to your original harbor.

(phylum)Actinobacteria 0 % 0 %
(phylum)Bacteroidetes -25 % 0 %
(phylum)Euryarchaeota -44 % 104979 %
(phylum)Fibrobacteres 0 % -99 %
(phylum)Firmicutes 7 % 0 %
(phylum)Lentisphaerae 0 % 3 %
(phylum)Proteobacteria 35 % 0 %
(phylum)Synergistetes 0 % -3 %
(phylum)Tenericutes 0 % 0 %
(phylum)Verrucomicrobia -35 % -33 %

Class

Moving down to the class level, we see better clarity. Remember the criteria was to focus on items > 150%.  All of them went down

(class)Actinobacteria 0 % 0 %
(class)Alphaproteobacteria -88 % -30 %
(class)Bacilli 0 % 0 %
(class)Bacteroidia -26 % 0 %
(class)Betaproteobacteria 202 % -65 %
(class)Clostridia 9 % 0 %
(class)Deltaproteobacteria 48 % 271 %
(class)Epsilonproteobacteria 0 % -98 %
(class)Erysipelotrichia 0 % 0 %
(class)Fibrobacteria 0 % -99 %
(class)Flavobacteriia 0 % 0 %
(class)Gammaproteobacteria -96 % -90 %
(class)Lentisphaeria 0 % 9 %
(class)Methanobacteria -43 % 104979 %
(class)Mollicutes 0 % 0 %
(class)Negativicutes 0 % 59 %
(class)Synergistia 0 % 35 %

Looking at High Family items we see that we succeed in reducing them.

(family)Clostridiaceae 180 % 96 %
(family)Oscillospiraceae 96 % 0 %
(family)Sutterellaceae 203 % -83 %

So where do we go next?

The latest result have good list of changes:

Item    Action    Confidence value
coconut products Take 8.372
antiseptics Take 5.107
resveratrol Take 4.764
gallic acid and tannins Take 4.242
inulin prebiotics Take 3.764
bacillus probiotics Take 3.606
raffinose foods Take 3.376
fodmap diet Take 3.276
fruit Take 3.162
lactobacillus kefiri probiotics Take 3.106
bile supplements Take 2.983
vitamin b3 niacin Take 2.517
gluten free diet Take 2.373
vitamin b7 biotin Take 1.815
cranberry juice, flour or raw Take 1.811
lactobacillus plantarum probiotics Take 1.684
flaxseed Take 1.631
enterococcus faecium probiotics Take 1.539
gynostemma pentaphyllum herb Take 1.497
whole grains Take 1.416
glutamine amino acid Take 1.293
chitosan supplements Take 1.078
garlic Take 1.042

As well as avoids

high fat diet Avoid -1.026
olive oil Avoid -1.163
bacillus subtilis probiotic Avoid -1.177
high fiber diet Avoid -1.177
black raspberries fruit Avoid -1.177
aspirin Avoid -1.236
dairy milk fats Avoid -1.301
saccharin sugar Avoid -1.434
low glycemic/sugar diet Avoid -1.508
bifidobacterium pseudocatenulatum probiotic Avoid -1.737
saccharomyces probiotics Avoid -1.748
mediterranean diet Avoid -1.811
nonsteroidal anti-inflammatory drug Avoid -2.013
iron supplements Avoid -2.301
barley Avoid -2.345
berberine supplement Avoid -2.365
walnuts nuts Avoid -2.719
beta-glucan foods Avoid -2.786
bisphenol a (bpa) plastic Avoid -2.944
ethinylestradiol prescription Avoid -2.944
no carbohydrate diet Avoid -4.604

It is interesting to note that bacillus probiotics is on the take list, but one specific one is on the avoid list: bacillus subtilis probiotic

Some concerns

Candidatus Saccharibacteria: 31x normal only (14.49% of Samples) phylum have this

Candidatus Saccharimonas 22x normal only (0.97% of Samples) genus

The only known item to reduce this are macrolides, for example azithromycin.

For the very high Methanobacteriaceae (35.75% of Samples) family, we see coconut (lauric acid and myristic acid) and bile are items that will decrease it

 

Bottom Line

It was nice to see objective improvement in the microbiome by following earlier suggestions. The suggestions were successful for reducing high bacteria (the specific goal sought).

The new analysis sight allows both high and low to be adjusted for. We will likely see in a few months what the latest recommendations caused to change.

REMEMBER: Adjust for one shift may induce other shifts.

This is an education post to facilitate discussing this approach with your medical professionals. It is not medical advice for the treatment of any medical condition. Always consult with your medical professional before doing any  changes of diet, supplements or activity. Some items cites may interfere with prescription medicines.