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: Neuroendocrine:%20Cold%20limbs%20(e.g.%20arms,%20legs%20hands)_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
🕮  vancomycin (antibiotic)[CFS] 0.987
🕮  piperacillin-tazobactam (antibiotic)s 0.954
🕮  imipenem (antibiotic)s 0.888
🕮  benzylpenicillin sodium (antibiotic) 0.848
🕮  amoxicillin (antibiotic)s[CFS] 0.759
🕮  ciprofloxacin (antibiotic)s[CFS] 0.731
🕮  thyme (thymol, thyme oil) 0.723
🕮  meropenem (antibiotic)s 0.702
🕮  minocycline (antibiotic)s[CFS] 0.588
🕮  garlic (allium sativum) 0.581  📏
🕮  clindamycin (antibiotic)s[CFS] 0.579
cinnamon (oil. spice) 0.549  📏
🕮  ampicillin (antibiotic)s[CFS] 0.548
fluoroquinolone (antibiotic)s 0.511
🕮  tobramycin (antibiotic)s 0.502
syzygium aromaticum (clove) 0.492
🕮  chloramphenicol (antibiotic)s 0.458
foeniculum vulgare,fennel 0.427
🕮  tetracycline (antibiotic)s 0.426
🕮  trimethoprim (antibiotic)s 0.423
neem 0.419  📏
🕮  erythromycin (antibiotic)s[CFS] 0.416
🕮  tigecycline (antibiotic)s 0.376
rosmarinus officinalis,rosemary 0.375
peppermint (spice, oil) 0.371
🕮  doxycycline (antibiotic)s[CFS] 0.37
🕮  metronidazole (antibiotic)s[CFS] 0.349
salvia officinalis (sage) 0.347
sucralose 0.345  📏
🕮  azithromycin,(antibiotic)s[CFS] 0.341  📏
oregano (origanum vulgare, oil) | 0.334
🕮  cefotaxime sodium salt (antibiotic) 0.325
momordia charantia(bitter melon, karela, balsam pear, or bitter gourd) 0.318
trachyspermum ammi, Ajwain 0.31
lemongrass oil 0.309
whole-grain barley 0.308  📏
🕮  clarithromycin (antibiotic)s[CFS] 0.306
Curcumin 0.306  📏
🕮  ofloxacin (antibiotic)s 0.293
galla chinensis (herb) 0.284
🕮  sparfloxacin (antibiotic) 0.282
🕮  norfloxacin (antibiotic)s 0.269
🕮  moxifloxacin (antibiotic) 0.26
🕮  ceftriaxone (antibiotic)s 0.25
olea europaea,olive leaf 0.25  📏
🕮  hyoscyamine (l),(prescription) [Can cause cognitive issues] 0.248
triphala 0.247  📏
🕮  glycerol monolaurate (Monolaurin) 0.247
🕮  amikacin (antibiotic)s 0.237
🕮  nitrofurantoin (antibiotic) 0.221
🕮  lactobacillus paracasei (probiotics) 0.219  📏
peganum harmala (rue) 0.219
coleus forskohlii 0.218
larrea tridentata( creosote bush, greasewood) 0.218
eucalyptus globulus,Tasmanian blue gum 0.218
🕮  lactobacillus casei (probiotics) 0.215  📏
🕮  lactobacillus salivarius (probiotics) 0.212  📏
aloe vera 0.21
Sumac(Rhus coriaria) 0.208

To Remove or Decrease

Modifier Confidence 📹
🕮  inulin (prebiotic) 0.687
arabinogalactan (prebiotic) 0.548
Slippery Elm 0.52
red wine 0.497
resistant starch 0.489
proton-pump inhibitors (prescription) 0.41
🕮  berberine 0.351
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.345
apple 0.341
non-starch polysaccharides 0.335
🕮  fructo-oligosaccharides (prebiotic) 0.323
🕮  lactulose 0.313
ketogenic diet 0.285
l-citrulline 0.279
xylan (prebiotic) 0.267
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.266
🕮  Pulses 0.26
high red meat 0.254
🕮  oligosaccharides (prebiotic) 0.253
🕮  Bofutsushosan 0.245
🕮  Astragalus 0.238
mediterranean diet 0.235
wheat bran 0.234
🕮  pectin 0.23
Conjugated Linoleic Acid 0.228
bacillus subtilis (probiotics) 0.227
🕮  galacto-oligosaccharides (prebiotic) 0.206
🕮  metformin (prescription) 0.205
fish oil 0.196
resistant maltodextrin 0.192
chemotherapy (prescription) 0.192
low-fat diets 0.192
vsl#3 (probiotics) 0.188
🕮  saccharomyces boulardii (probiotics) 0.184
raffinose(sugar beet) 0.183
gynostemma pentaphyllum (Jiaogulan) 0.173
fasting 0.164
pea (fiber, protein) 0.162
Guaiacol (polyphenol) 0.161
fat 0.157
blueberry 0.155
almonds/ almond skins 0.153
barley,oat 0.151
🕮  Moringa Oleifera 0.147
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.145
gallic acid (food additive) 0.137
cholic acid (bile acid) 0.136
Alpha-Ketoglutarate 0.134
tannic acid 0.128
macrolide ((antibiotic)s) 0.126
🕮  bifidobacterium lactis bb12 (probiotics) 0.124
wheat 0.124
🕮  Bile Acid Sequestrant 0.124
sesame cake/meal 0.123
🕮  chestnut tannins 0.123
🕮  bifidobacterium bifidum (probiotics) 0.123
levan 0.123
Lactobacillus Johnsonii (probiotic) 0.12
🕮  banana 0.119
dairy 0.119
NOTE: (Heparin, hyaluronan, or chondroitin sulfate) and Lactobacillus probiotics should not be taken concurrently.

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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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