Why some suggestions may contradict

RECOMMENDED READING Caveats on using the contents of this page. ๐Ÿ‘จโ€โš•๏ธ

If you need help with this information, here is a list of consultants ๐Ÿ‘จโ€โš•๏ธ๐Ÿ‘ฉโ€โš•๏ธ that are available.

Suggestion Parameters

Sample:A Priori (from theoretical deduction)
Bacteria Selection:Outside of Range
Filter: From Special Studies V2: Joint: Redness_Drugs
Rank Used: All Ranks
Shifts Used:High and Low Levels
Citations Used:

How do we know if the suggestions are reasonable/valid?

๐Ÿฑ Food Menu Planner ๐Ÿฝ๏ธ ๐Ÿ“น How are suggestions determined


The following will shift items that are too high to lower values and values that are too low to higher values.
Items will feed or starve specific bacteria.

With antibiotics, if there is no significant response, there may be antibiotic resistance. Bacteria do share resistance genes between themselves. Consider moving on to a different one, ideally a different family.

The recommended process to obtain a persistent shift of the microbiome is:
 Generate 4 lists from the suggestions with nothing repeated on another list
  Emphasize one list each week
  After 8 weeks (2 cycles), retest the microbiome to obtains the next set of course corrections
This approach allows the microbiome to stablize towards normal.

To Add or Increase Intake

Modifier (Alt Names on Hover) Confidence ๐Ÿ“น
๐Ÿ•ฎ  gentamicin (antibiotic)s 0.796
๐Ÿ•ฎ  risperidone,(prescription) 0.587
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.538  ๐Ÿ“
Caffeine 0.538
๐Ÿ•ฎ  loperamide hydrochloride,(prescription) 0.537
๐Ÿ•ฎ  acarbose,(prescription) 0.529
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.524  ๐Ÿ“
๐Ÿ•ฎ  Hesperidin (polyphenol) 0.513  ๐Ÿ“
๐Ÿ•ฎ  hyoscyamine (l),(prescription) 0.509
Vitamin C (ascorbic acid) 0.479  ๐Ÿ“
Vitamin B9,folic acid 0.478  ๐Ÿ“
๐Ÿ•ฎ  alverine citrate salt,(prescription) 0.47
๐Ÿ•ฎ  aztreonam (antibiotic) 0.47
๐Ÿ•ฎ  Vitamin B-12 0.459  ๐Ÿ“
prednisone,(prescription) 0.456
๐Ÿ•ฎ  atorvastatin (prescription) 0.456  ๐Ÿ“
๐Ÿ•ฎ  metformin (prescription) 0.444
๐Ÿ•ฎ  scopolamine hydrochloride,(prescription) 0.444
scopolamin-n-oxide hydrobromide,(prescription) 0.444
๐Ÿ•ฎ  selegiline hydrochloride,(prescription) 0.444
serotonin hydrochloride non-drug 0.444
๐Ÿ•ฎ  sotalol hydrochloride,(prescription) 0.444
spaglumic acid,(prescription) 0.444
๐Ÿ•ฎ  sulfamethoxazole (antibiotic) 0.444
๐Ÿ•ฎ  sulfamethoxypyridazine (antibiotic) 0.444
๐Ÿ•ฎ  sulfamonomethoxine,(prescription) 0.444
๐Ÿ•ฎ  sulfanilamide (antibiotic) 0.444
๐Ÿ•ฎ  sulfaphenazole (antibiotic) 0.444
๐Ÿ•ฎ  sulfapyridine (antibiotic) 0.444
๐Ÿ•ฎ  spironolactone,(prescription) 0.444
๐Ÿ•ฎ  sibutramine hcl,(prescription) 0.444
๐Ÿ•ฎ  sildenafil,(prescription) 0.444
๐Ÿ•ฎ  simvastatin,(prescription) 0.444
๐Ÿ•ฎ  sisomicin sulfate (antibiotic) 0.444
๐Ÿ•ฎ  stavudine,(prescription) 0.444
๐Ÿ•ฎ  ropinirole hcl,(prescription) 0.444
๐Ÿ•ฎ  roxatidine acetate hcl,(prescription) 0.444
s(-)eticlopride hydrochloride non-drug 0.444
๐Ÿ•ฎ  salbutamol,(prescription) 0.444
๐Ÿ•ฎ  salmeterol,(prescription) 0.444
๐Ÿ•ฎ  rosiglitazone hydrochloride,(prescription) 0.444
๐Ÿ•ฎ  spectinomycin dihydrochloride (antibiotic) 0.444
spiperone,(prescription) 0.444
sulfabenzamide 0.444
๐Ÿ•ฎ  sulfacetamide sodic hydrate (antibiotic) 0.444
sulfachloropyridazine,(prescription) 0.444
๐Ÿ•ฎ  sulfadiazine (antibiotic) 0.444
๐Ÿ•ฎ  sulfadimethoxine (antibiotic) 0.444
sulfadoxine,(prescription) 0.444
๐Ÿ•ฎ  sulfaguanidine (antibiotic) 0.444
๐Ÿ•ฎ  sulfamerazine (antibiotic) 0.444
sulfameter (antibiotic) 0.444
sulfamethazine sodium salt (antibiotic) 0.444
๐Ÿ•ฎ  sulfamethizole (antibiotic) 0.444
๐Ÿ•ฎ  sulpiride,(prescription) 0.444
๐Ÿ•ฎ  succinylsulfathiazole (antibiotic) 0.444
๐Ÿ•ฎ  norgestimate,(prescription) 0.444
๐Ÿ•ฎ  norgestrel-(-)-d,(prescription) 0.444
๐Ÿ•ฎ  olopatadine hydrochloride,(prescription) 0.444
๐Ÿ•ฎ  ondansetron hydrochloride,(prescription) 0.444

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
๐Ÿ•ฎ  inulin (prebiotic) 1
arabinogalactan (prebiotic) 0.693
resistant starch 0.522
red wine 0.453
๐Ÿ•ฎ  vitamin d 0.41
saccharin 0.403
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.379
๐Ÿ•ฎ  berberine 0.338
๐Ÿ•ฎ  lactobacillus rhamnosus gg (probiotics) 0.327
resistant maltodextrin 0.322
Slippery Elm 0.316
non-starch polysaccharides 0.315
chemotherapy (prescription) 0.312
saccharomyces boulardii (probiotics) 0.309
๐Ÿ•ฎ  Pulses 0.306
bile (acid/salts) 0.274
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.267
pomegranate 0.258
plantago asiatica l. 0.254
walnuts 0.253
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.245
wheat bran 0.242
๐Ÿ•ฎ  lactobacillus reuteri (probiotics) 0.24
barley,oat 0.237
barley 0.235
wheat 0.232
๐Ÿ•ฎ  lactobacillus rhamnosus (probiotics) 0.231
๐Ÿ•ฎ  iron 0.222
sodium butyrate 0.222
dietary fiber 0.218
stevia 0.213
๐Ÿ•ฎ  pectin 0.204
๐Ÿ•ฎ  cruciferous vegetables (broccoli cabbage) 0.194
vegetarians 0.187
genistein 0.185
apple 0.179
l-proline 0.176
levan 0.174
๐Ÿ•ฎ  bifidobacterium longum (probiotics) 0.171
salt (sodium chloride) 0.171
l-citrulline 0.171
cholic acid (bile acid) 0.171
fibre-rich macrobiotic ma-pi 2 diet 0.161
pea (fiber, protein) 0.161
gallic acid (food additive) 0.16
high salt 0.159
๐Ÿ•ฎ  Fisetin 0.159
starch-fed 0.157
Prescript Assist (2018 Formula) 0.153
xylan (prebiotic) 0.151
ganoderma lucidum mycelium 0.151
animal-based diet 0.148
Alpha-Ketoglutarate 0.148
fasting 0.148
ku ding cha tea 0.148
๐Ÿ•ฎ  omega-3 fatty acids 0.147
๐Ÿ•ฎ  black raspberries 0.146
๐Ÿ•ฎ  Goji (berry,juice) 0.143
gynostemma pentaphyllum (Jiaogulan) 0.143
polygonatum kingianum(Orange Flower Solomon's Seal.) 0.135
NOTE: (Heparin, hyaluronan, or chondroitin sulfate) and Lactobacillus probiotics should not be taken concurrently.

All suggestions are computed solely on their predicted microbiome impact. Safety, side-effects etc must be evaluated by your medical professionals before starting. Some items suggests have significant risk of adverse consequences for some people.

Special thanks to David F Morrison and Geert Van Houcke for doing Quality Assurance. Special thanks to Oliver Luk, B.Sc. (Biology) from BiomeSight for spot checking the coding of data from the US National Library of Medicine

This is an Academic site. It generates theoretical models of what may benefit a specific microbiome results.

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Caveat emptor: Analysis and suggestions are based on modelling (and thus infererence) based on studies. The data sources are usually given for those that wish to consider alternative inferences. theories and models.

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