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: Neurological:%20Seasonal%20Affective%20Disorder%20(SAD)_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 📹
🕮  clindamycin (antibiotic)s[CFS] 0.436
🕮  imipenem (antibiotic)s 0.411
🕮  benzylpenicillin sodium (antibiotic) 0.406
🕮  amoxicillin (antibiotic)s[CFS] 0.401
🕮  chloramphenicol (antibiotic)s 0.397
🕮  doxycycline (antibiotic)s[CFS] 0.389
🕮  rifampicin (antibiotic)s 0.364
🕮  minocycline (antibiotic)s[CFS] 0.347
🕮  piperacillin-tazobactam (antibiotic)s 0.34
🕮  azithromycin,(antibiotic)s[CFS] 0.335  📏
🕮  erythromycin (antibiotic)s[CFS] 0.33
🕮  meropenem (antibiotic)s 0.311
🕮  nitrofurantoin (antibiotic) 0.293
🕮  ampicillin (antibiotic)s[CFS] 0.285
🕮  vancomycin (antibiotic)[CFS] 0.281
🕮  moxifloxacin (antibiotic) 0.273
🕮  clarithromycin (antibiotic)s[CFS] 0.272
🕮  ciprofloxacin (antibiotic)s[CFS] 0.27
🕮  tobramycin (antibiotic)s 0.269
galla chinensis (herb) 0.241
🕮  cefotaxime sodium salt (antibiotic) 0.241
🕮  gatifloxacin (antibiotic) 0.232
cephalothin sodium salt (antibiotic) 0.231
sucralose 0.225  📏
🕮  thyme (thymol, thyme oil) 0.218
🕮  bacitracin (antibiotic) 0.216
neem 0.214  📏
🕮  cefuroxime sodium salt (antibiotic) 0.208
🕮  sparfloxacin (antibiotic) 0.207
florfenicol 0.204
tea 0.203
🕮  chlorhexidine 0.201
🕮  spiramycin (antibiotic) 0.195
🕮  metronidazole (antibiotic)s[CFS] 0.195
🕮  cefdinir (antibiotic) 0.194
🕮  high-fat diets 0.191
🕮  monensin sodium salt,(prescription) 0.19
Chlortetracycline hydrochloride 0.186
🕮  josamycin (antibiotic) 0.186
🕮  tylosin,(prescription) 0.186
Demeclocycline hydrochloride 0.186
🕮  rifapentine (antibiotic) 0.186
🕮  roxithromycin (antibiotic)s 0.186
alexidine dihydrochloride 0.186
phenethicillin potassium salt (antibiotic) 0.186
Tosufloxacin hydrochloride 0.186
Rifabutin 0.186
🕮  closantel,(prescription) 0.186
clinafloxacin (antibiotic) 0.186
🕮  thiamphenicol (antibiotic) 0.186
🕮  niclosamide,(prescription) 0.186
🕮  nadifloxacin (antibiotic) 0.186
oxytetracycline dihydrate (antibiotic) 0.186
thiostrepton,(prescription) 0.186
Meclocycline sulfosalicylate 0.186
🕮  hexachlorophene 0.186
sarafloxacin (antibiotic) 0.186
Methacycline hydrochloride 0.186
benzathine benzylpenicillin (antibiotic) 0.186
🕮  ticarcillin sodium (antibiotic) 0.186

To Remove or Decrease
Modifier Confidence 📹
🕮  inulin (prebiotic) 1
🕮  fructo-oligosaccharides (prebiotic) 0.694
arabinogalactan (prebiotic) 0.62
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.606
🕮  lactulose 0.51
🕮  lactobacillus plantarum (probiotics) 0.51
🕮  resveratrol (grape seed/polyphenols/red wine) 0.508
proton-pump inhibitors (prescription) 0.446
apple 0.429
soy 0.42
resistant starch 0.413
bacillus subtilis (probiotics) 0.398
raffinose(sugar beet) 0.388
🕮  lactobacillus acidophilus (probiotics) 0.359
wheat bran 0.357
jerusalem artichoke (prebiotic) 0.32
Slippery Elm 0.308
almonds/ almond skins 0.302
sesame cake/meal 0.301
🕮  Glucomannan 0.297
🕮  metformin (prescription) 0.28
fasting 0.249
🕮  galacto-oligosaccharides (prebiotic) 0.247
barley,oat 0.247
🕮  pectin 0.246
barley 0.236
🕮  gum arabic (prebiotic) 0.221
blueberry 0.218
🕮  oligosaccharides (prebiotic) 0.212
Conjugated Linoleic Acid 0.211
red wine 0.21
🕮  lactobacillus reuteri (probiotics) 0.21
🕮  Dangshen 0.204
🕮  Moringa Oleifera 0.201
magnesium 0.198
whey 0.195
clostridium butyricum (probiotics),Miya,Miyarisan 0.192
daesiho-tang 0.191
mediterranean diet 0.185
🕮  bifidobacterium bifidum (probiotics) 0.185
pomegranate 0.183
🕮  lactobacillus plantarum,xylooligosaccharides,(prebiotic) (probiotics) 0.183
plantago asiatica l. 0.181
high fiber diet 0.176
fish oil 0.175
pea (fiber, protein) 0.174
🕮  Limosilactobacillus fermentum (probiotic) 0.172
🕮  Pulses 0.17
🕮  bifidobacterium lactis bb12 (probiotics) 0.17
quercetin 0.168
oats 0.167
chondrus crispus,red sea weed 0.167
Lactobacillus Johnsonii (probiotic) 0.167
🕮  zinc 0.167
partially hydrolysed guar gum,fructo-oligosaccharides (prebiotic) 0.166
walnuts 0.164
wheat 0.163
🕮  partially hydrolyzed guar gum 0.163
ku ding cha tea 0.161
vsl#3 (probiotics) 0.159
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.