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: Comorbid: Small intestinal bacterial overgrowth (SIBO)_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 📹
🕮  imipenem (antibiotic)s 1
🕮  gentamicin (antibiotic)s 0.874
🕮  piperacillin-tazobactam (antibiotic)s 0.788
🕮  ofloxacin (antibiotic)s 0.672
🕮  ciprofloxacin (antibiotic)s[CFS] 0.599
🕮  amikacin (antibiotic)s 0.583
fluoroquinolone (antibiotic)s 0.568
foeniculum vulgare,fennel 0.474
🕮  ceftriaxone (antibiotic)s 0.471
🕮  amoxicillin (antibiotic)s[CFS] 0.458
🕮  vancomycin (antibiotic)[CFS] 0.428
🕮  trimethoprim (antibiotic)s 0.414
🕮  benzylpenicillin sodium (antibiotic) 0.409
🕮  cefotaxime sodium salt (antibiotic) 0.405
🕮  tobramycin (antibiotic)s 0.39
🕮  norfloxacin (antibiotic)s 0.348
🕮  meropenem (antibiotic)s 0.323
oregano (origanum vulgare, oil) | 0.3
intesti-bacteriophage 0.27
🕮  ampicillin (antibiotic)s[CFS] 0.244
🕮  sparfloxacin (antibiotic) 0.238
🕮  chloramphenicol (antibiotic)s 0.223
🕮  Vitamin B-12 0.223  📏
syzygium aromaticum (clove) 0.221
🕮  garlic (allium sativum) 0.221  📏
cinnamon (oil. spice) 0.22  📏
clostridium butyricum (probiotics),Miya,Miyarisan 0.206  📏
Curcumin 0.203  📏
🕮  hyoscyamine (l),(prescription) 0.198
🕮  aztreonam (antibiotic) 0.198
🕮  Hesperidin (polyphenol) 0.182  📏
nigella sativa seed (black cumin) 0.179  📏
🕮  ceftazidime (antibiotic)s 0.177
🕮  Vitamin B1,thiamine hydrochloride 0.172  📏
🕮  reserpine,(prescription) 0.168
🕮  atorvastatin (prescription) 0.166  📏
Caffeine 0.164
laser trilobum l.,kefe cumin 0.162
neem 0.161  📏
🕮  itraconazole,(prescription) 0.16
🕮  N-Acetyl Cysteine (NAC), 0.16  📏
🕮  sulfamethoxazole (antibiotic) 0.16
🕮  loperamide hydrochloride,(prescription) 0.159
🕮  clindamycin (antibiotic)s[CFS] 0.156
🕮  lactobacillus casei (probiotics) 0.153  📏
🕮  acarbose,(prescription) 0.152
🕮  alverine citrate salt,(prescription) 0.151
🕮  phentermine hydrochloride,(prescription) 0.146
raclopride non-drug 0.146
🕮  isotretinoin,(prescription) 0.146
atracurium besylate,(prescription) 0.146
🕮  iodixanol,(prescription) 0.146
urosiol,(prescription) 0.146
ioxaglic acid,(prescription) 0.146
🕮  acitretin,(prescription) 0.146
🕮  oxandrolone,(prescription) 0.146
fipexide hydrochloride,(prescription) 0.146
🕮  glimepiride,(prescription) 0.146
🕮  tiabendazole,(prescription) 0.146
🕮  carbachol,(prescription) 0.146

To Remove or Decrease
Modifier Confidence 📹
aspartame (sweetner) 0.33
Slippery Elm 0.271
🕮  inulin (prebiotic) 0.251
arabinogalactan (prebiotic) 0.224
resistant starch 0.212
🕮  berberine 0.207
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.177
🕮  lactulose 0.133
navy bean 0.132
penicillin-moxalactam (antibiotic)s 0.123
red wine 0.12
🕮  fructo-oligosaccharides (prebiotic) 0.12
🕮  Pulses 0.119
🕮  Reduce choline (Beef, Chicken Eggs) 0.118
blueberry 0.116
non-starch polysaccharides 0.113
macrolide ((antibiotic)s) 0.112
🕮  iron 0.109
saccharin 0.106
wheat bran 0.106
levan 0.106
l-proline 0.105
symbioflor 2 e.coli probiotics 0.098
proton-pump inhibitors (prescription) 0.096
resistant maltodextrin 0.096
fasting 0.095
🕮  galacto-oligosaccharides (prebiotic) 0.089
🕮  oligosaccharides (prebiotic) 0.085
🕮  pectin 0.082
mediterranean diet 0.076
soy 0.075
🕮  saccharomyces boulardii (probiotics) 0.072
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.072
🕮  glucose (sugar) 0.071
🕮  Burdock Root 0.07
ku ding cha tea 0.068
xylan (prebiotic) 0.065
green-lipped mussel 0.064
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.064
🕮  netilmicin (antibiotic)s 0.063
jerusalem artichoke (prebiotic) 0.062
bile (acid/salts) 0.061
high fiber diet 0.061
a-glucosidase inhibitors 0.061
barley,oat 0.061
almonds/ almond skins 0.061
l-citrulline 0.059
gynostemma pentaphyllum (Jiaogulan) 0.058
catecholamines (polyphenol) 0.057
red alga Laurencia tristicha 0.056
🕮  tetracycline (antibiotic)s 0.055
sodium butyrate 0.055
pea (fiber, protein) 0.054
🕮  lactobacillus fermentum (probiotics) 0.053
plantago asiatica l. 0.053
carob 0.052
🕮  dibekacin (antibiotic)s 0.051
hypocaloric hyperproteic diet 0.05
salt (sodium chloride) 0.05
colinfant e.coli probiotics 0.049
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.


The awesome web hosting site that we use. Try it if you need to host (or unhappy with current provider)