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: Neuroendocrine:%20Temperature%20fluctuations%20throughout%20the%20day_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 0.887
🕮  metronidazole (antibiotic)s[CFS] 0.811
🕮  clindamycin (antibiotic)s[CFS] 0.675
🕮  piperacillin-tazobactam (antibiotic)s 0.634
🕮  chloramphenicol (antibiotic)s 0.577
🕮  amoxicillin (antibiotic)s[CFS] 0.572
🕮  benzylpenicillin sodium (antibiotic) 0.545
chitosan,(sugar) 0.506  📏
whole-grain barley 0.497  📏
🕮  ciprofloxacin (antibiotic)s[CFS] 0.492
🕮  vancomycin (antibiotic)[CFS] 0.481
🕮  gentamicin (antibiotic)s 0.463
🕮  meropenem (antibiotic)s 0.436
🕮  norfloxacin (antibiotic)s 0.411
🕮  ornidazole (antibiotic)s 0.411
🕮  doxycycline (antibiotic)s[CFS] 0.397
🕮  sparfloxacin (antibiotic) 0.387
sucralose 0.384  📏
🕮  moxifloxacin (antibiotic) 0.378
🕮  azithromycin,(antibiotic)s[CFS] 0.377  📏
momordia charantia(bitter melon, karela, balsam pear, or bitter gourd) 0.374
🕮  erythromycin (antibiotic)s[CFS] 0.366
🕮  trimethoprim (antibiotic)s 0.363
🕮  ampicillin (antibiotic)s[CFS] 0.359
florfenicol 0.343
🕮  minocycline (antibiotic)s[CFS] 0.332
🕮  garlic (allium sativum) 0.331  📏
🕮  cefotaxime sodium salt (antibiotic) 0.31
🕮  cefoxitin (antibiotic)s 0.297
linseed(flaxseed) 0.295  📏
🕮  thyme (thymol, thyme oil) 0.293
🕮  ofloxacin (antibiotic)s 0.291
🕮  lactobacillus casei (probiotics) 0.291  📏
fluoroquinolone (antibiotic)s 0.288
🕮  chlorhexidine 0.282
🕮  bacitracin (antibiotic) 0.28
🕮  tobramycin (antibiotic)s 0.272
foeniculum vulgare,fennel 0.261
🕮  lactobacillus salivarius (probiotics) 0.261  📏
🕮  lactobacillus kefiri (NOT KEFIR) 0.26
🕮  nitrofurantoin (antibiotic) 0.257
cinnamon (oil. spice) 0.254  📏
🕮  bifidobacterium longum bb536 (probiotics) 0.251
🕮  spiramycin (antibiotic) 0.247
🕮  linezolid (antibiotic) 0.247
🕮  gatifloxacin (antibiotic) 0.247
🕮  colistin sulfate (antibiotic) 0.246
🕮  ketoconazole,(prescription) 0.236
🕮  Vitamin B1,thiamine hydrochloride 0.233  📏
polymannuronic acid 0.23
🕮  monensin sodium salt,(prescription) 0.23
salvia officinalis (sage) 0.23
🕮  furazolidone (antibiotic) 0.225
🕮  josamycin (antibiotic) 0.225
Demeclocycline hydrochloride 0.225
Chlortetracycline hydrochloride 0.225
🕮  roxithromycin (antibiotic)s 0.225
phenethicillin potassium salt (antibiotic) 0.225
🕮  novobiocin sodium salt,(prescription) 0.225
alexidine dihydrochloride 0.225

To Remove or Decrease
Modifier Confidence 📹
Slippery Elm 1
🕮  inulin (prebiotic) 0.833
🕮  berberine 0.78
resistant starch 0.769
arabinogalactan (prebiotic) 0.735
red wine 0.56
saccharin 0.549
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.508
resistant maltodextrin 0.413
🕮  Pulses 0.358
non-starch polysaccharides 0.354
apple 0.353
l-citrulline 0.352
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.352
🕮  saccharomyces boulardii (probiotics) 0.35
gallic acid (food additive) 0.342
Guaiacol (polyphenol) 0.33
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.323
levan 0.322
wheat bran 0.321
soy 0.313
xylan (prebiotic) 0.304
🕮  bifidobacterium longum (probiotics) 0.296
stevia 0.293
mediterranean diet 0.287
🕮  pectin 0.286
vegetarians 0.283
🕮  lactobacillus plantarum (probiotics) 0.273
plantago asiatica l. 0.25
🕮  galacto-oligosaccharides (prebiotic) 0.249
animal-based diet 0.248
🕮  lactobacillus acidophilus (probiotics) 0.236
🕮  Moringa Oleifera 0.236
low-fat diets 0.235
fibre-rich macrobiotic ma-pi 2 diet 0.233
🕮  oligosaccharides (prebiotic) 0.226
bacillus subtilis (probiotics) 0.226
hypocaloric hyperproteic diet 0.226
high red meat 0.223
🕮  bifidobacterium bifidum (probiotics) 0.218
🕮  black raspberries 0.217
barley 0.216
🕮  metformin (prescription) 0.215
bacillus licheniformis,(probiotics) 0.213
🕮  acetylsalicylic acid,aspirin 0.208
🕮  lactobacillus rhamnosus gg (probiotics) 0.205
🕮  Olive Oil 0.199
chemotherapy (prescription) 0.195
tannic acid 0.192
pea (fiber, protein) 0.188
🕮  Goji (berry,juice) 0.185
🕮  bifidobacterium pseudocatenulatum,(probiotics) 0.181
Alpha-Ketoglutarate 0.18
🕮  chestnut tannins 0.18
fasting 0.178
ketogenic diet 0.178
🕮  Bile Acid Sequestrant 0.172
genistein 0.171
🕮  galactose (milk sugar) 0.169
cholic acid (bile acid) 0.167
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.