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:
Bacteria Selection:Outside of Range
Filter: From Special Studies V2: DePaul%20University%20Fatigue%20Questionnaire%20:%20Difficulty%20following%20things_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

Summary of health impacts of top 15 suggestions
Modifier (Alt Names on Hover) Confidence 📹
🕮  imipenem (antibiotic)s 1
🕮  gentamicin (antibiotic)s 0.887
🕮  ciprofloxacin (antibiotic)s[CFS] 0.803
🕮  amoxicillin (antibiotic)s[CFS] 0.797
🕮  piperacillin-tazobactam (antibiotic)s 0.72
🕮  meropenem (antibiotic)s 0.681
🕮  chloramphenicol (antibiotic)s 0.675
🕮  cefotaxime sodium salt (antibiotic) 0.639
🕮  ofloxacin (antibiotic)s 0.599
🕮  benzylpenicillin sodium (antibiotic) 0.597
🕮  amikacin (antibiotic)s 0.59
🕮  clindamycin (antibiotic)s[CFS] 0.579
🕮  lactobacillus casei (probiotics) 0.565  📏
🕮  trimethoprim (antibiotic)s 0.542
🕮  garlic (allium sativum) 0.519  📏
🕮  ampicillin (antibiotic)s[CFS] 0.512
foeniculum vulgare,fennel 0.502
oregano (origanum vulgare, oil) | 0.491
🕮  lactobacillus reuteri (probiotics) 0.481  📏
🕮  metronidazole (antibiotic)s[CFS] 0.468
whey 0.433  📏
🕮  norfloxacin (antibiotic)s 0.416
clostridium butyricum (probiotics),Miya,Miyarisan 0.416  📏
Curcumin 0.414  📏
🕮  moxifloxacin (antibiotic) 0.372
fluoroquinolone (antibiotic)s 0.364
🕮  lactobacillus rhamnosus gg (probiotics) 0.363  📏
🕮  azithromycin,(antibiotic)s[CFS] 0.359  📏
triphala 0.358  📏
🕮  ceftazidime (antibiotic)s 0.355
🕮  tobramycin (antibiotic)s 0.348
cinnamon (oil. spice) 0.345  📏
neem 0.336  📏
🕮  nitrofurantoin (antibiotic) 0.333
🕮  sparfloxacin (antibiotic) 0.332
intesti-bacteriophage 0.332
chitosan,(sugar) 0.303  📏
🕮  vitamin d 0.302  📏
Bismuth Salts 0.301
🕮  clarithromycin (antibiotic)s[CFS] 0.291
🕮  erythromycin (antibiotic)s[CFS] 0.289
🕮  lactobacillus paracasei (probiotics) 0.269  📏
syzygium aromaticum (clove) 0.265
sucralose 0.264  📏
🕮  Vitamin B-12 0.263  📏
🕮  ceftriaxone (antibiotic)s 0.26
schinus molle (herb) 0.259
🕮  rifampicin (antibiotic)s 0.247
🕮  ornidazole (antibiotic)s 0.247
propyl gallate(corn) 0.244
🕮  lactobacillus plantarum (probiotics) 0.243  📏
mutaflor escherichia coli nissle 1917 (probiotics) 0.235  📏
🕮  aztreonam (antibiotic) 0.235
🕮  thyme (thymol, thyme oil) 0.231
pediococcus acidilactic (probiotic) 0.231
🕮  monensin sodium salt,(prescription) 0.227
tannic acid 0.217
🕮  selenium 0.217  📏
florfenicol 0.216
salvia officinalis (sage) 0.212

To Remove or Decrease
Modifier Confidence 📹
aspartame (sweetner) 0.68
🕮  inulin (prebiotic) 0.653
blueberry 0.635
Slippery Elm 0.601
resistant starch 0.568
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.544
arabinogalactan (prebiotic) 0.508
red wine 0.401
🕮  Reduce choline (Beef, Chicken Eggs) 0.4
🕮  berberine 0.38
non-starch polysaccharides 0.364
fasting 0.339
🕮  metformin (prescription) 0.326
macrolide ((antibiotic)s) 0.3
🕮  fructo-oligosaccharides (prebiotic) 0.295
ku ding cha tea 0.289
🕮  high-fat diets 0.27
navy bean 0.269
levan 0.268
🕮  pectin 0.267
saccharin 0.264
l-proline 0.263
🕮  Pulses 0.262
resistant maltodextrin 0.253
penicillin-moxalactam (antibiotic)s 0.242
proton-pump inhibitors (prescription) 0.237
xylan (prebiotic) 0.233
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.232
🕮  Bofutsushosan 0.22
symbioflor 2 e.coli probiotics 0.206
wheat bran 0.203
🕮  oligosaccharides (prebiotic) 0.203
🕮  Bile Acid Sequestrant 0.192
vegetarians 0.187
🕮  galacto-oligosaccharides (prebiotic) 0.178
🕮  Moringa Oleifera 0.177
apple 0.17
🕮  Rutin 0.167
sulfonamide (antibiotic)s 0.166
partially hydrolysed guar gum,fructo-oligosaccharides (prebiotic) 0.164
oats 0.164
wheat 0.16
barley,oat 0.159
🕮  resveratrol (grape seed/polyphenols/red wine) 0.149
🕮  banana 0.145
carob 0.143
l-citrulline 0.141
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.141
Conjugated Linoleic Acid 0.138
bile (acid/salts) 0.137
green-lipped mussel 0.135
🕮  Olive Oil 0.134
stevia 0.132
🕮  emblica officinalis 0.131
bacillus coagulans (probiotics) 0.131
mediterranean diet 0.131
Guaiacol (polyphenol) 0.13
🕮  lactulose 0.128
🕮  galactose (milk sugar) 0.128
plantago asiatica l. 0.128
NOTE: (Heparin, hyaluronan, or chondroitin sulfate) and Lactobacillus probiotics should not be taken concurrently.

This is an Academic site. It generates theoretical models of what may benefit a specific microbiome results.

Explanations/Info/Descriptions are influenced by Large Language Models and may not be accurate and include some hallucinations. Please report any to us for correction.

Copyright 2016-2024 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.