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: Neurological-Sleep: Insomnia_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 0.981
๐Ÿ•ฎ  metronidazole (antibiotic)s[CFS] 0.855
๐Ÿ•ฎ  acarbose,(prescription) 0.854
๐Ÿ•ฎ  amikacin (antibiotic)s 0.836
๐Ÿ•ฎ  Hesperidin (polyphenol) 0.834  ๐Ÿ“
๐Ÿ•ฎ  imipenem (antibiotic)s 0.831
๐Ÿ•ฎ  Vitamin B-12 0.806  ๐Ÿ“
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.795  ๐Ÿ“
๐Ÿ•ฎ  atorvastatin (prescription) 0.794  ๐Ÿ“
Caffeine 0.787
๐Ÿ•ฎ  hyoscyamine (l),(prescription) 0.768
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.749  ๐Ÿ“
๐Ÿ•ฎ  ofloxacin (antibiotic)s 0.743
๐Ÿ•ฎ  sulfamethoxazole (antibiotic) 0.738
๐Ÿ•ฎ  itraconazole,(prescription) 0.738
๐Ÿ•ฎ  reserpine,(prescription) 0.736
๐Ÿ•ฎ  loperamide hydrochloride,(prescription) 0.735
๐Ÿ•ฎ  tobramycin (antibiotic)s 0.715
๐Ÿ•ฎ  norfloxacin (antibiotic)s 0.704
๐Ÿ•ฎ  amoxicillin (antibiotic)s[CFS] 0.696
๐Ÿ•ฎ  alverine citrate salt,(prescription) 0.678
๐Ÿ•ฎ  phentermine hydrochloride,(prescription) 0.659
raclopride non-drug 0.659
ioxaglic acid,(prescription) 0.659
๐Ÿ•ฎ  acitretin,(prescription) 0.659
๐Ÿ•ฎ  oxandrolone,(prescription) 0.659
fipexide hydrochloride,(prescription) 0.659
๐Ÿ•ฎ  glimepiride,(prescription) 0.659
๐Ÿ•ฎ  benzydamine hydrochloride,(prescription) 0.659
๐Ÿ•ฎ  argatroban,(prescription) 0.659
๐Ÿ•ฎ  dimenhydrinate,(prescription) 0.659
๐Ÿ•ฎ  lisinopril,(prescription) 0.659
pentetic acid non-drug 0.659
๐Ÿ•ฎ  procainamide hydrochloride,(prescription) 0.659
๐Ÿ•ฎ  adenosine 5`-monophosphate monohydrate non-drug 0.659
alfadolone acetate,(prescription) 0.659
๐Ÿ•ฎ  miglitol,(prescription) 0.659
๐Ÿ•ฎ  mepivacaine hydrochloride,(prescription) 0.659
๐Ÿ•ฎ  zaleplon,(prescription) 0.659
๐Ÿ•ฎ  phenazopyridine hydrochloride,(prescription) 0.659
๐Ÿ•ฎ  sulfapyridine (antibiotic) 0.659
dizocilpine maleate,(prescription) 0.659
mianserine hydrochloride,(prescription) 0.659
๐Ÿ•ฎ  procarbazine hydrochloride,(prescription) 0.659
๐Ÿ•ฎ  oxymetazoline hydrochloride,(prescription) 0.659
Theobromine (in food) 0.659
iproniazide phosphate,(prescription) 0.659
๐Ÿ•ฎ  meloxicam,(prescription) 0.659
fosfosal,(prescription) 0.659
๐Ÿ•ฎ  nadolol,(prescription) 0.659
๐Ÿ•ฎ  bemegride,(prescription) 0.659
๐Ÿ•ฎ  tiletamine hydrochloride,(prescription) 0.659
torsemide,(prescription) 0.659
debrisoquin sulfate,(prescription) 0.659
๐Ÿ•ฎ  papaverine hydrochloride,(prescription) 0.659
๐Ÿ•ฎ  isotretinoin,(prescription) 0.659
atracurium besylate,(prescription) 0.659
๐Ÿ•ฎ  iodixanol,(prescription) 0.659
urosiol,(prescription) 0.659
๐Ÿ•ฎ  tiabendazole,(prescription) 0.659

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
Slippery Elm 1
arabinogalactan (prebiotic) 0.979
๐Ÿ•ฎ  inulin (prebiotic) 0.945
resistant starch 0.92
๐Ÿ•ฎ  berberine 0.844
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.799
red wine 0.743
saccharin 0.651
๐Ÿ•ฎ  Pulses 0.64
non-starch polysaccharides 0.518
resistant maltodextrin 0.498
xylan (prebiotic) 0.497
vegetarians 0.453
levan 0.424
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.422
macrolide ((antibiotic)s) 0.409
l-citrulline 0.406
๐Ÿ•ฎ  iron 0.402
l-proline 0.401
stevia 0.4
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.399
wheat bran 0.376
๐Ÿ•ฎ  pectin 0.369
gallic acid (food additive) 0.335
๐Ÿ•ฎ  saccharomyces boulardii (probiotics) 0.334
mediterranean diet 0.329
fasting 0.324
ku ding cha tea 0.306
gynostemma pentaphyllum (Jiaogulan) 0.306
penicillin-moxalactam (antibiotic)s 0.305
pea (fiber, protein) 0.294
bile (acid/salts) 0.276
๐Ÿ•ฎ  galacto-oligosaccharides (prebiotic) 0.27
plantago asiatica l. 0.266
๐Ÿ•ฎ  vitamin d 0.262
hypocaloric hyperproteic diet 0.261
symbioflor 2 e.coli probiotics 0.257
๐Ÿ•ฎ  Burdock Root 0.256
๐Ÿ•ฎ  lactulose 0.253
low-fat diets 0.25
apple 0.247
aspartame (sweetner) 0.23
fibre-rich macrobiotic ma-pi 2 diet 0.228
navy bean 0.225
animal-based diet 0.224
red alga Laurencia tristicha 0.211
๐Ÿ•ฎ  tetracycline (antibiotic)s 0.211
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.207
๐Ÿ•ฎ  galactose (milk sugar) 0.204
dietary phytoestrogens (isoflavones) 0.199
partially hydrolysed guar gum,fructo-oligosaccharides (prebiotic) 0.196
slow digestible carbohydrates 0.194
๐Ÿ•ฎ  Reduce choline (Beef, Chicken Eggs) 0.193
green-lipped mussel 0.19
Psyllium (Plantago Ovata Husk) 0.183
salt (sodium chloride) 0.18
grape seed extract 0.174
๐Ÿ•ฎ  black raspberries 0.174
genistein 0.171
carob 0.166
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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