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: Short-term memory issues_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

Suggestions

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 1
๐Ÿ•ฎ  imipenem (antibiotic)s 0.824
๐Ÿ•ฎ  piperacillin-tazobactam (antibiotic)s 0.745
๐Ÿ•ฎ  thyme (thymol, thyme oil) 0.694
foeniculum vulgare,fennel 0.661
๐Ÿ•ฎ  amoxicillin (antibiotic)s[CFS] 0.657
๐Ÿ•ฎ  ciprofloxacin (antibiotic)s[CFS] 0.653
๐Ÿ•ฎ  vancomycin (antibiotic)[CFS] 0.652
๐Ÿ•ฎ  meropenem (antibiotic)s 0.646
๐Ÿ•ฎ  benzylpenicillin sodium (antibiotic) 0.644
cinnamon (oil. spice) 0.568  ๐Ÿ“
๐Ÿ•ฎ  ampicillin (antibiotic)s[CFS] 0.547
intesti-bacteriophage 0.535
๐Ÿ•ฎ  tobramycin (antibiotic)s 0.526
๐Ÿ•ฎ  garlic (allium sativum) 0.505  ๐Ÿ“
syzygium aromaticum (clove) 0.496
๐Ÿ•ฎ  hyoscyamine (l),(prescription) 0.496
๐Ÿ•ฎ  Hesperidin (polyphenol) 0.485  ๐Ÿ“
laser trilobum l.,kefe cumin 0.483
๐Ÿ•ฎ  amikacin (antibiotic)s 0.469
๐Ÿ•ฎ  Vitamin B-12 0.461  ๐Ÿ“
neem 0.426  ๐Ÿ“
๐Ÿ•ฎ  hypericin, St. John's Wort 0.401
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.4  ๐Ÿ“
vitamin B3,niacin 0.394  ๐Ÿ“
Curcumin 0.388  ๐Ÿ“
๐Ÿ•ฎ  naproxen,(prescription) 0.387
๐Ÿ•ฎ  reserpine,(prescription) 0.385
oregano (origanum vulgare, oil) | 0.385
๐Ÿ•ฎ  sulfamethoxazole (antibiotic) 0.372
๐Ÿ•ฎ  loperamide hydrochloride,(prescription) 0.363
๐Ÿ•ฎ  itraconazole,(prescription) 0.362
Caffeine 0.359
๐Ÿ•ฎ  ofloxacin (antibiotic)s 0.359
peppermint (spice, oil) 0.356
๐Ÿ•ฎ  alverine citrate salt,(prescription) 0.355
๐Ÿ•ฎ  ketoconazole,(prescription) 0.352
prednisone,(prescription) 0.35
oxalamine citrate salt,(prescription) 0.347
aminocaproic acid,(prescription) 0.347
๐Ÿ•ฎ  perindopril,(prescription) 0.347
๐Ÿ•ฎ  zopiclone,(prescription) 0.347
antipyrine,(prescription) 0.347
๐Ÿ•ฎ  norgestrel-(-)-d,(prescription) 0.347
๐Ÿ•ฎ  memantine hydrochloride,(prescription) 0.347
mephenytoin,(prescription) 0.347
cortisone,(prescription) 0.347
๐Ÿ•ฎ  sulfamerazine (antibiotic) 0.347
butylscopolammonium (n-) bromide,(prescription) 0.347
๐Ÿ•ฎ  carisoprodol,(prescription) 0.347
๐Ÿ•ฎ  flunixin meglumine,(prescription) 0.347
oxantel pamoate,(prescription) 0.347
๐Ÿ•ฎ  carbarsone non-drug 0.347
๐Ÿ•ฎ  (-)-emtricitabine,(prescription) 0.347
๐Ÿ•ฎ  spironolactone,(prescription) 0.347
๐Ÿ•ฎ  pranoprofen,(prescription) 0.347
dimethadione,(prescription) 0.347
๐Ÿ•ฎ  benzonatate,(prescription) 0.347
isosorbide mononitrate,(prescription) 0.347
๐Ÿ•ฎ  topiramate,(prescription) 0.347

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
๐Ÿ•ฎ  inulin (prebiotic) 0.74
proton-pump inhibitors (prescription) 0.722
๐Ÿ•ฎ  resveratrol (grape seed/polyphenols/red wine) 0.66
๐Ÿ•ฎ  fructo-oligosaccharides (prebiotic) 0.631
arabinogalactan (prebiotic) 0.624
raffinose(sugar beet) 0.616
๐Ÿ•ฎ  lactulose 0.551
sesame cake/meal 0.449
wheat bran 0.438
aspartame (sweetner) 0.394
๐Ÿ•ฎ  Burdock Root 0.386
jerusalem artichoke (prebiotic) 0.365
almonds/ almond skins 0.356
navy bean 0.348
soy 0.332
Slippery Elm 0.33
apple 0.32
๐Ÿ•ฎ  galacto-oligosaccharides (prebiotic) 0.32
macrolide ((antibiotic)s) 0.314
red wine 0.311
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.307
๐Ÿ•ฎ  Reduce choline (Beef, Chicken Eggs) 0.299
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.297
green-lipped mussel 0.285
barley,oat 0.28
bacillus subtilis (probiotics) 0.278
blueberry 0.25
vsl#3 (probiotics) 0.246
๐Ÿ•ฎ  gum arabic (prebiotic) 0.245
magnesium 0.245
Conjugated Linoleic Acid 0.238
๐Ÿ•ฎ  lactobacillus acidophilus (probiotics) 0.237
resistant starch 0.237
ku ding cha tea 0.236
daesiho-tang 0.229
๐Ÿ•ฎ  noni 0.229
๐Ÿ•ฎ  Pulses 0.223
high fiber diet 0.222
chondrus crispus,red sea weed 0.207
l-proline 0.203
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.196
lividomycin (antibiotic)s 0.194
๐Ÿ•ฎ  isepamicin (antibiotic)s 0.194
mediterranean diet 0.194
penicillin-moxalactam (antibiotic)s 0.187
pea (fiber, protein) 0.186
๐Ÿ•ฎ  galactose (milk sugar) 0.184
carob 0.175
non-starch polysaccharides 0.172
๐Ÿ•ฎ  pectin 0.172
๐Ÿ•ฎ  netilmicin (antibiotic)s 0.167
๐Ÿ•ฎ  Glucomannan 0.165
grape polyphenols 0.16
fasting 0.16
a-glucosidase inhibitors 0.157
sodium butyrate 0.156
lincosamide (antibiotic)s 0.152
dietary phytoestrogens (isoflavones) 0.15
fat 0.15
vitamin a 0.149
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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Use of data on this site is prohibited except under written license. There is no charge for individual personal use. Use for any commercial applications or research requires a written license.
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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