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: Mood Disorders_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
Vitamin B9,folic acid 0.624  ๐Ÿ“
๐Ÿ•ฎ  acarbose,(prescription) 0.588
๐Ÿ•ฎ  metronidazole (antibiotic)s[CFS] 0.528
๐Ÿ•ฎ  gentamicin (antibiotic)s 0.526
๐Ÿ•ฎ  Hesperidin (polyphenol) 0.526  ๐Ÿ“
Caffeine 0.526
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.506  ๐Ÿ“
๐Ÿ•ฎ  atorvastatin (prescription) 0.496  ๐Ÿ“
๐Ÿ•ฎ  amoxicillin (antibiotic)s[CFS] 0.476
๐Ÿ•ฎ  risperidone,(prescription) 0.458
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.444  ๐Ÿ“
๐Ÿ•ฎ  sulfamethoxazole (antibiotic) 0.441
๐Ÿ•ฎ  loperamide hydrochloride,(prescription) 0.433
vitamin B3,niacin 0.428  ๐Ÿ“
๐Ÿ•ฎ  norfloxacin (antibiotic)s 0.425
๐Ÿ•ฎ  ofloxacin (antibiotic)s 0.425
๐Ÿ•ฎ  imipenem (antibiotic)s 0.415
๐Ÿ•ฎ  triamcinolone,(prescription) 0.404
๐Ÿ•ฎ  triamterene,(prescription) 0.404
๐Ÿ•ฎ  tribenoside,(prescription) 0.404
trichlorfon,(prescription) 0.404
๐Ÿ•ฎ  trichlormethiazide,(prescription) 0.404
torsemide,(prescription) 0.404
tracazolate hydrochloride non-drug 0.404
๐Ÿ•ฎ  tramadol hydrochloride,(prescription) 0.404
๐Ÿ•ฎ  tizanidine hcl,(prescription) 0.404
triflupromazine hydrochloride,(prescription) 0.404
๐Ÿ•ฎ  triflusal,(prescription) 0.404
๐Ÿ•ฎ  tiletamine hydrochloride,(prescription) 0.404
๐Ÿ•ฎ  timolol maleate salt,(prescription) 0.404
๐Ÿ•ฎ  tocainide hydrochloride,(prescription) 0.404
todralazine hydrochloride non-drug 0.404
๐Ÿ•ฎ  tolazamide,(prescription) 0.404
๐Ÿ•ฎ  tolazoline hydrochloride,(prescription) 0.404
๐Ÿ•ฎ  topiramate,(prescription) 0.404
๐Ÿ•ฎ  topotecan,(prescription) 0.404
tranexamic acid,(prescription) 0.404
๐Ÿ•ฎ  tranilast,(prescription) 0.404
๐Ÿ•ฎ  tranylcypromine hydrochloride,(prescription) 0.404
๐Ÿ•ฎ  trapidil,(prescription) 0.404
๐Ÿ•ฎ  trazodone hydrochloride,(prescription) 0.404
tremorine dihydrochloride non-drug 0.404
๐Ÿ•ฎ  trimipramine maleate salt,(prescription) 0.404
trioxsalen,(prescription) 0.404
๐Ÿ•ฎ  tripelennamine hydrochloride,(prescription) 0.404
๐Ÿ•ฎ  trimetazidine dihydrochloride,(prescription) 0.404
trimethadione,(prescription) 0.404
๐Ÿ•ฎ  trimethobenzamide hydrochloride,(prescription) 0.404
valproic acid,(prescription) 0.404
zimelidine dihydrochloride monohydrate,(prescription) 0.404
๐Ÿ•ฎ  triprolidine hydrochloride,(prescription) 0.404
trolox non-drug 0.404
๐Ÿ•ฎ  tropicamide,(prescription) 0.404
๐Ÿ•ฎ  tropisetron hcl,(prescription) 0.404
๐Ÿ•ฎ  tulobuterol,(prescription) 0.404
๐Ÿ•ฎ  tyloxapol,(prescription) 0.404
๐Ÿ•ฎ  urapidil hydrochloride,(prescription) 0.404
urosiol,(prescription) 0.404
๐Ÿ•ฎ  trihexyphenidyl-d;l hydrochloride,(prescription) 0.404
๐Ÿ•ฎ  valacyclovir hydrochloride,(prescription) 0.404

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
๐Ÿ•ฎ  inulin (prebiotic) 1
Slippery Elm 0.858
๐Ÿ•ฎ  berberine 0.741
red wine 0.686
arabinogalactan (prebiotic) 0.666
resistant starch 0.637
triphala 0.455
saccharin 0.433
non-starch polysaccharides 0.426
xylan (prebiotic) 0.424
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.42
stevia 0.384
resistant maltodextrin 0.38
๐Ÿ•ฎ  pectin 0.365
๐Ÿ•ฎ  Pulses 0.36
gallic acid (food additive) 0.349
l-citrulline 0.326
apple 0.315
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.303
vegetarians 0.297
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.285
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.26
low-fat diets 0.255
๐Ÿ•ฎ  enterococcus faecium (probiotic) 0.243
๐Ÿ•ฎ  vitamin d 0.231
wheat bran 0.229
bile (acid/salts) 0.225
levan 0.223
high red meat 0.213
๐Ÿ•ฎ  lactobacillus rhamnosus gg (probiotics) 0.213
bacillus amyloliquefaciens (probiotic) 0.21
Psyllium (Plantago Ovata Husk) 0.203
animal-based diet 0.201
plantago asiatica l. 0.197
pea (fiber, protein) 0.196
fasting 0.188
ku ding cha tea 0.183
macrolide ((antibiotic)s) 0.183
Alpha-Ketoglutarate 0.181
๐Ÿ•ฎ  galacto-oligosaccharides (prebiotic) 0.178
๐Ÿ•ฎ  lactobacillus acidophilus (probiotics) 0.172
๐Ÿ•ฎ  lactobacillus fermentum (probiotics) 0.169
hypocaloric hyperproteic diet 0.169
gynostemma pentaphyllum (Jiaogulan) 0.167
chemotherapy (prescription) 0.163
fibre-rich macrobiotic ma-pi 2 diet 0.162
๐Ÿ•ฎ  cruciferous vegetables (broccoli cabbage) 0.16
๐Ÿ•ฎ  Reduce choline (Beef, Chicken Eggs) 0.158
๐Ÿ•ฎ  lactobacillus reuteri (probiotics) 0.157
barley,oat 0.153
carboxymethyl cellulose (prebiotic) 0.152
bacillus licheniformis,(probiotics) 0.149
Miso 0.145
mediterranean diet 0.144
slow digestible carbohydrates 0.14
Pork 0.133
l-proline 0.13
๐Ÿ•ฎ  glycerol monolaurate (Monolaurin) 0.13
๐Ÿ•ฎ  Burdock Root 0.129
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.128
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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