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: Official Diagnosis: Gastroesophageal reflux disease (GERD)_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 1
๐Ÿ•ฎ  amikacin (antibiotic)s 0.704
๐Ÿ•ฎ  imipenem (antibiotic)s 0.698
clostridium butyricum (probiotics),Miya,Miyarisan 0.656  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B-12 0.645  ๐Ÿ“
foeniculum vulgare,fennel 0.642
๐Ÿ•ฎ  acarbose,(prescription) 0.573
๐Ÿ•ฎ  amoxicillin (antibiotic)s[CFS] 0.551
๐Ÿ•ฎ  ciprofloxacin (antibiotic)s[CFS] 0.54
๐Ÿ•ฎ  hyoscyamine (l),(prescription) 0.532
oregano (origanum vulgare, oil) | 0.53
๐Ÿ•ฎ  Hesperidin (polyphenol) 0.527  ๐Ÿ“
๐Ÿ•ฎ  ofloxacin (antibiotic)s 0.527
๐Ÿ•ฎ  reserpine,(prescription) 0.514
Caffeine 0.513
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.497  ๐Ÿ“
Bismuth Salts 0.486
๐Ÿ•ฎ  piperacillin-tazobactam (antibiotic)s 0.485
๐Ÿ•ฎ  garlic (allium sativum) 0.484  ๐Ÿ“
๐Ÿ•ฎ  itraconazole,(prescription) 0.481
๐Ÿ•ฎ  carbamazepine,(prescription) 0.48
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.478  ๐Ÿ“
๐Ÿ•ฎ  atorvastatin (prescription) 0.473  ๐Ÿ“
๐Ÿ•ฎ  loperamide hydrochloride,(prescription) 0.469
intesti-bacteriophage 0.468
๐Ÿ•ฎ  alverine citrate salt,(prescription) 0.467
๐Ÿ•ฎ  sulfamethoxazole (antibiotic) 0.461
๐Ÿ•ฎ  cyclopentolate hydrochloride,(prescription) 0.453
panthenol (d),(prescription) 0.453
metaproterenol sulfate; orciprenaline sulfate,(prescription) 0.453
eserine hemisulfate salt,(prescription) 0.453
remoxipride hydrochloride,(prescription) 0.453
๐Ÿ•ฎ  theophylline monohydrate,(prescription) 0.453
๐Ÿ•ฎ  budesonide,(prescription) 0.453
๐Ÿ•ฎ  flunisolide,(prescription) 0.453
(s)-(-)-atenolol,(prescription) 0.453
imidurea non-drug 0.453
๐Ÿ•ฎ  adenosine 5`-monophosphate monohydrate non-drug 0.453
๐Ÿ•ฎ  phentermine hydrochloride,(prescription) 0.453
raclopride non-drug 0.453
๐Ÿ•ฎ  benzydamine hydrochloride,(prescription) 0.453
๐Ÿ•ฎ  argatroban,(prescription) 0.453
๐Ÿ•ฎ  dimenhydrinate,(prescription) 0.453
๐Ÿ•ฎ  lisinopril,(prescription) 0.453
pentetic acid non-drug 0.453
ioxaglic acid,(prescription) 0.453
๐Ÿ•ฎ  acitretin,(prescription) 0.453
๐Ÿ•ฎ  oxandrolone,(prescription) 0.453
fipexide hydrochloride,(prescription) 0.453
๐Ÿ•ฎ  glimepiride,(prescription) 0.453
๐Ÿ•ฎ  procainamide hydrochloride,(prescription) 0.453
๐Ÿ•ฎ  procarbazine hydrochloride,(prescription) 0.453
๐Ÿ•ฎ  oxymetazoline hydrochloride,(prescription) 0.453
Theobromine (in food) 0.453
torsemide,(prescription) 0.453
debrisoquin sulfate,(prescription) 0.453
๐Ÿ•ฎ  isotretinoin,(prescription) 0.453
atracurium besylate,(prescription) 0.453
๐Ÿ•ฎ  iodixanol,(prescription) 0.453
urosiol,(prescription) 0.453

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
Slippery Elm 0.833
aspartame (sweetner) 0.537
๐Ÿ•ฎ  Reduce choline (Beef, Chicken Eggs) 0.448
proton-pump inhibitors (prescription) 0.373
blueberry 0.331
red wine 0.316
non-starch polysaccharides 0.315
resistant starch 0.31
๐Ÿ•ฎ  inulin (prebiotic) 0.289
๐Ÿ•ฎ  zinc 0.273
carboxymethyl cellulose (prebiotic) 0.256
arabinogalactan (prebiotic) 0.248
macrolide ((antibiotic)s) 0.247
levan 0.232
ku ding cha tea 0.216
xylan (prebiotic) 0.216
saccharin 0.21
triphala 0.186
symbioflor 2 e.coli probiotics 0.184
๐Ÿ•ฎ  Pulses 0.182
๐Ÿ•ฎ  berberine 0.178
penicillin-moxalactam (antibiotic)s 0.177
๐Ÿ•ฎ  pectin 0.176
refined wheat breads 0.175
resistant maltodextrin 0.175
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.172
stevia 0.161
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.159
๐Ÿ•ฎ  Burdock Root 0.159
navy bean 0.156
fat 0.153
red alga Laurencia tristicha 0.152
animal-based diet 0.141
l-citrulline 0.137
๐Ÿ•ฎ  lactulose 0.135
l-proline 0.134
chemotherapy (prescription) 0.133
wheat bran 0.131
sulfonamide (antibiotic)s 0.13
vitamin a 0.13
fasting 0.12
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.114
a-glucosidase inhibitors 0.106
๐Ÿ•ฎ  Goji (berry,juice) 0.104
sodium butyrate 0.103
๐Ÿ•ฎ  resveratrol (grape seed/polyphenols/red wine) 0.102
helminth infection (prescription) 0.101
๐Ÿ•ฎ  lactobacillus fermentum (probiotics) 0.101
plantago asiatica l. 0.098
whole grain diet 0.098
๐Ÿ•ฎ  high-fat diets 0.097
๐Ÿ•ฎ  Methylene blue 0.094
pea (fiber, protein) 0.094
apple 0.093
๐Ÿ•ฎ  tetracycline (antibiotic)s 0.093
๐Ÿ•ฎ  dibekacin (antibiotic)s 0.092
acriflavin (prescription) 0.092
colinfant e.coli probiotics 0.092
glycylcycline (antibiotic)s 0.092
a-glucosidase inhibitors (prescription) 0.092
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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