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: Pain: Myofascial pain_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  imipenem (antibiotic)s 1
๐Ÿ•ฎ  gentamicin (antibiotic)s 0.881
๐Ÿ•ฎ  ofloxacin (antibiotic)s 0.802
๐Ÿ•ฎ  piperacillin-tazobactam (antibiotic)s 0.762
๐Ÿ•ฎ  amikacin (antibiotic)s 0.622
๐Ÿ•ฎ  ciprofloxacin (antibiotic)s[CFS] 0.59
fluoroquinolone (antibiotic)s 0.577
foeniculum vulgare,fennel 0.48
๐Ÿ•ฎ  tobramycin (antibiotic)s 0.445
๐Ÿ•ฎ  amoxicillin (antibiotic)s[CFS] 0.444
๐Ÿ•ฎ  norfloxacin (antibiotic)s 0.386
๐Ÿ•ฎ  ceftriaxone (antibiotic)s 0.383
๐Ÿ•ฎ  vancomycin (antibiotic)[CFS] 0.382
๐Ÿ•ฎ  cefotaxime sodium salt (antibiotic) 0.381
๐Ÿ•ฎ  benzylpenicillin sodium (antibiotic) 0.373
๐Ÿ•ฎ  Vitamin B-12 0.342  ๐Ÿ“
๐Ÿ•ฎ  trimethoprim (antibiotic)s 0.338
clostridium butyricum (probiotics),Miya,Miyarisan 0.325  ๐Ÿ“
๐Ÿ•ฎ  Hesperidin (polyphenol) 0.285  ๐Ÿ“
๐Ÿ•ฎ  hyoscyamine (l),(prescription) 0.284
๐Ÿ•ฎ  reserpine,(prescription) 0.284
๐Ÿ•ฎ  acarbose,(prescription) 0.28
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.278  ๐Ÿ“
Caffeine 0.278
Vitamin B9,folic acid 0.276  ๐Ÿ“
vitamin B3,niacin 0.274  ๐Ÿ“
oregano (origanum vulgare, oil) | 0.271
๐Ÿ•ฎ  itraconazole,(prescription) 0.264
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.263  ๐Ÿ“
๐Ÿ•ฎ  dopamine (prescription) 0.262
๐Ÿ•ฎ  aztreonam (antibiotic) 0.256
๐Ÿ•ฎ  sulfamethoxazole (antibiotic) 0.254
๐Ÿ•ฎ  atorvastatin (prescription) 0.252  ๐Ÿ“
๐Ÿ•ฎ  alverine citrate salt,(prescription) 0.252
๐Ÿ•ฎ  loperamide hydrochloride,(prescription) 0.25
chlorphensin carbamate,(prescription) 0.244
๐Ÿ•ฎ  phentolamine hydrochloride,(prescription) 0.244
๐Ÿ•ฎ  ropinirole hcl,(prescription) 0.244
๐Ÿ•ฎ  pergolide mesylate,(prescription) 0.244
๐Ÿ•ฎ  bisoprolol fumarate,(prescription) 0.244
๐Ÿ•ฎ  clebopride maleate,(prescription) 0.244
๐Ÿ•ฎ  progesterone,(prescription) 0.244
๐Ÿ•ฎ  terazosin hydrochloride,(prescription) 0.244
equilin,(prescription) 0.244
๐Ÿ•ฎ  asenapine maleate,(prescription) 0.244
benoxinate hydrochloride,(prescription) 0.244
dipivefrin hydrochloride,(prescription) 0.244
๐Ÿ•ฎ  praziquantel,(prescription) 0.244
meticrane,(prescription) 0.244
๐Ÿ•ฎ  acetazolamide,(prescription) 0.244
๐Ÿ•ฎ  alclometasone dipropionate,(prescription) 0.244
Arbutin (polyphenol) 0.244  ๐Ÿ“
๐Ÿ•ฎ  benzonatate,(prescription) 0.244
isosorbide mononitrate,(prescription) 0.244
๐Ÿ•ฎ  amcinonide,(prescription) 0.244
๐Ÿ•ฎ  morantel tartrate,(prescription) 0.244
๐Ÿ•ฎ  telmisartan,(prescription) 0.244
๐Ÿ•ฎ  sulfanilamide (antibiotic) 0.244
๐Ÿ•ฎ  isometheptene mucate,(prescription) 0.244
๐Ÿ•ฎ  topiramate,(prescription) 0.244

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
aspartame (sweetner) 0.412
Slippery Elm 0.399
arabinogalactan (prebiotic) 0.314
red wine 0.274
๐Ÿ•ฎ  berberine 0.269
๐Ÿ•ฎ  Reduce choline (Beef, Chicken Eggs) 0.24
resistant starch 0.219
non-starch polysaccharides 0.186
saccharin 0.17
blueberry 0.161
navy bean 0.161
๐Ÿ•ฎ  Pulses 0.146
levan 0.142
๐Ÿ•ฎ  inulin (prebiotic) 0.134
l-proline 0.134
resistant maltodextrin 0.13
๐Ÿ•ฎ  iron 0.128
xylan (prebiotic) 0.125
stevia 0.118
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.115
proton-pump inhibitors (prescription) 0.113
l-citrulline 0.113
๐Ÿ•ฎ  pectin 0.11
macrolide ((antibiotic)s) 0.109
๐Ÿ•ฎ  cruciferous vegetables (broccoli cabbage) 0.105
green-lipped mussel 0.104
wheat bran 0.104
penicillin-moxalactam (antibiotic)s 0.103
carboxymethyl cellulose (prebiotic) 0.099
plantago asiatica l. 0.096
symbioflor 2 e.coli probiotics 0.096
mediterranean diet 0.086
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.084
red alga Laurencia tristicha 0.082
bile (acid/salts) 0.081
vegetarians 0.08
๐Ÿ•ฎ  galacto-oligosaccharides (prebiotic) 0.077
ku ding cha tea 0.071
fasting 0.071
chemotherapy (prescription) 0.069
bacillus licheniformis,(probiotics) 0.069
sodium butyrate 0.068
triphala 0.066
sulfonamide (antibiotic)s 0.066
gallic acid (food additive) 0.064
genistein 0.062
๐Ÿ•ฎ  high-fat diets 0.061
cranberry bean flour 0.06
low-fat diets 0.06
๐Ÿ•ฎ  glucose (sugar) 0.059
apple 0.058
pea (fiber, protein) 0.057
germinated barley food-stuff 0.056
dietary phytoestrogens (isoflavones) 0.056
a-glucosidase inhibitors 0.056
๐Ÿ•ฎ  black raspberries 0.056
Ferric citrate 0.055
animal-based diet 0.054
barley,oat 0.054
๐Ÿ•ฎ  dibekacin (antibiotic)s 0.05
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.
Inventions/Methodologies on this site are Patent Pending.

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