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: DePaul%20University%20Fatigue%20Questionnaire%20:%20Does%20physical%20activity%20make%20you%20feel%20worse_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 📹
🕮  gentamicin (antibiotic)s 1
🕮  imipenem (antibiotic)s 0.897
🕮  amoxicillin (antibiotic)s[CFS] 0.812
🕮  piperacillin-tazobactam (antibiotic)s 0.79
🕮  ciprofloxacin (antibiotic)s[CFS] 0.759
🕮  meropenem (antibiotic)s 0.675
🕮  benzylpenicillin sodium (antibiotic) 0.662
clostridium butyricum (probiotics),Miya,Miyarisan 0.612  📏
🕮  lactobacillus reuteri (probiotics) 0.608  📏
🕮  garlic (allium sativum) 0.605  📏
🕮  cefotaxime sodium salt (antibiotic) 0.557
🕮  chloramphenicol (antibiotic)s 0.555
cinnamon (oil. spice) 0.539  📏
🕮  ofloxacin (antibiotic)s 0.51
triphala 0.492  📏
whey 0.486  📏
🕮  amikacin (antibiotic)s 0.476
oregano (origanum vulgare, oil) | 0.475
🕮  lactobacillus casei (probiotics) 0.474  📏
🕮  ampicillin (antibiotic)s[CFS] 0.464
foeniculum vulgare,fennel 0.458
Curcumin 0.444  📏
🕮  tobramycin (antibiotic)s 0.443
neem 0.435  📏
🕮  vitamin d 0.431  📏
🕮  lactobacillus paracasei (probiotics) 0.43  📏
🕮  clindamycin (antibiotic)s[CFS] 0.424
🕮  lactobacillus plantarum (probiotics) 0.423  📏
🕮  thyme (thymol, thyme oil) 0.395
syzygium aromaticum (clove) 0.392
intesti-bacteriophage 0.389
🕮  trimethoprim (antibiotic)s 0.378
fluoroquinolone (antibiotic)s 0.372
🕮  lactobacillus rhamnosus gg (probiotics) 0.32  📏
Bismuth Salts 0.318
barley 0.311  📏
🕮  metronidazole (antibiotic)s[CFS] 0.293
chitosan,(sugar) 0.277  📏
🕮  selenium 0.271  📏
whole-grain barley 0.257  📏
🕮  norfloxacin (antibiotic)s 0.255
galla chinensis (herb) 0.254
🕮  azithromycin,(antibiotic)s[CFS] 0.251  📏
🕮  erythromycin (antibiotic)s[CFS] 0.25
bacillus subtilis (probiotics) 0.247  📏
🕮  lactobacillus rhamnosus (probiotics) 0.237  📏
🕮  vancomycin (antibiotic)[CFS] 0.23
peppermint (spice, oil) 0.228
mutaflor escherichia coli nissle 1917 (probiotics) 0.227  📏
🕮  moxifloxacin (antibiotic) 0.226
nigella sativa seed (black cumin) 0.226  📏
Lactobacillus Johnsonii (probiotic) 0.225  📏
pediococcus acidilactic (probiotic) 0.225
polymannuronic acid 0.225
Enko Bacteriophage 0.224
🕮  clarithromycin (antibiotic)s[CFS] 0.224
sucralose 0.219  📏
🕮  Vitamin B-12 0.218  📏
Umeboshi (Japanese Apricot or Prunus mume ) 0.217
🕮  sparfloxacin (antibiotic) 0.217

To Remove or Decrease

Modifier Confidence 📹
aspartame (sweetner) 0.976
blueberry 0.559
proton-pump inhibitors (prescription) 0.523
Slippery Elm 0.481
arabinogalactan (prebiotic) 0.474
🕮  Reduce choline (Beef, Chicken Eggs) 0.47
red wine 0.44
🕮  berberine 0.379
non-starch polysaccharides 0.353
navy bean 0.343
resistant starch 0.342
macrolide ((antibiotic)s) 0.296
🕮  high-fat diets 0.294
🕮  Pulses 0.293
🕮  metformin (prescription) 0.292
ku ding cha tea 0.292
mediterranean diet 0.289
fasting 0.277
l-citrulline 0.272
🕮  inulin (prebiotic) 0.264
xylan (prebiotic) 0.248
levan 0.245
🕮  saccharomyces boulardii (probiotics) 0.243
🕮  lactulose 0.222
symbioflor 2 e.coli probiotics 0.222
l-proline 0.219
wheat bran 0.212
green-lipped mussel 0.209
penicillin-moxalactam (antibiotic)s 0.205
apple 0.199
🕮  fructo-oligosaccharides (prebiotic) 0.193
resistant maltodextrin 0.19
🕮  oligosaccharides (prebiotic) 0.187
🕮  Bofutsushosan 0.184
🕮  pectin 0.183
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.178
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.177
saccharin 0.174
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.172
🕮  galacto-oligosaccharides (prebiotic) 0.169
red alga Laurencia tristicha 0.167
pea (fiber, protein) 0.154
🕮  Moringa Oleifera 0.153
Vitamin B9,folic acid 0.151
sulfonamide (antibiotic)s 0.151
🕮  kanamycin (antibiotic)s 0.148
vsl#3 (probiotics) 0.143
🕮  alcoholic beverages 0.14
carob 0.138
Ferric citrate 0.137
lividomycin (antibiotic)s 0.135
🕮  isepamicin (antibiotic)s 0.135
🕮  paromomycin (antibiotic)s 0.135
🕮  zinc 0.133
chondrus crispus,red sea weed 0.131
🕮  banana 0.131
Guaiacol (polyphenol) 0.131
🕮  Rutin 0.13
low protein diet 0.13
barley,oat 0.129
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.

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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.
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