Why some suggestions may contradict

RECOMMENDED READING Caveats on using the contents of this page. 👨‍⚕️

If you need help with this information, here is a list of consultants 👨‍⚕️👩‍⚕️ 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?

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

To Remove or Decrease
Modifier Confidence 📹
🕮  inulin (prebiotic) 1
Slippery Elm 0.858
🕮  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
🕮  lactobacillus plantarum (probiotics) 0.42
stevia 0.384
resistant maltodextrin 0.38
🕮  pectin 0.365
🕮  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
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.285
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.26
low-fat diets 0.255
🕮  enterococcus faecium (probiotic) 0.243
🕮  vitamin d 0.231
wheat bran 0.229
bile (acid/salts) 0.225
levan 0.223
high red meat 0.213
🕮  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
🕮  galacto-oligosaccharides (prebiotic) 0.178
🕮  lactobacillus acidophilus (probiotics) 0.172
🕮  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
🕮  cruciferous vegetables (broccoli cabbage) 0.16
🕮  Reduce choline (Beef, Chicken Eggs) 0.158
🕮  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
🕮  glycerol monolaurate (Monolaurin) 0.13
🕮  Burdock Root 0.129
🕮  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.

Copyright 2016-2023 Lassesen Consulting, LLC [2007], DBA, Microbiome Prescription. All rights served.
Permission to data scrap or reverse engineer is explicitly denied to all users. U.S. Code Title 18 PART I CHAPTER 47 § 1030, CETS No.185, CFAA
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.

Microbiome Prescription do not make any representations that data or analyses available on this site is suitable for human diagnostic purposes, for informing treatment decisions, or for any other purposes and accept no responsibility or liability whatsoever for such use.
This site is not Health Insurance Portability and Accountability Act of 1996 (HIPAA) compliant.


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