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%20Manifestations:%20cold%20extremities_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 📹
🕮  benzylpenicillin sodium (antibiotic) 0.426
🕮  imipenem (antibiotic)s 0.42
🕮  chloramphenicol (antibiotic)s 0.412
🕮  amoxicillin (antibiotic)s[CFS] 0.404
🕮  piperacillin-tazobactam (antibiotic)s 0.402
🕮  clindamycin (antibiotic)s[CFS] 0.393
🕮  vancomycin (antibiotic)[CFS] 0.385
🕮  meropenem (antibiotic)s 0.345
🕮  minocycline (antibiotic)s[CFS] 0.339
🕮  ciprofloxacin (antibiotic)s[CFS] 0.338
🕮  azithromycin,(antibiotic)s[CFS] 0.32  📏
🕮  rifampicin (antibiotic)s 0.314
🕮  doxycycline (antibiotic)s[CFS] 0.296
🕮  thyme (thymol, thyme oil) 0.29
sucralose 0.269  📏
🕮  nitrofurantoin (antibiotic) 0.261
🕮  tetracycline (antibiotic)s 0.242
galla chinensis (herb) 0.236
🕮  erythromycin (antibiotic)s[CFS] 0.235
🕮  tobramycin (antibiotic)s 0.234
🕮  high-fat diets 0.23
tea 0.223
🕮  moxifloxacin (antibiotic) 0.215
neem 0.21  📏
🕮  clarithromycin (antibiotic)s[CFS] 0.206
🕮  cefotaxime sodium salt (antibiotic) 0.204
laminaria hyperborea( tangle/cuvie - seaweed) 0.201
🕮  trimethoprim (antibiotic)s 0.196
syzygium aromaticum (clove) 0.196
magnesium-deficient diet 0.191
glyphosphate 0.191
fluoroquinolone (antibiotic)s 0.183
🕮  bacitracin (antibiotic) 0.182
Curcumin 0.178  📏
cephalothin sodium salt (antibiotic) 0.174
🕮  sparfloxacin (antibiotic) 0.168
🕮  garlic (allium sativum) 0.166  📏
🕮  ampicillin (antibiotic)s[CFS] 0.165
🕮  gatifloxacin (antibiotic) 0.165
🕮  gentamicin (antibiotic)s 0.163
🕮  cefuroxime sodium salt (antibiotic) 0.16
trachyspermum ammi, Ajwain 0.149
chitosan,(sugar) 0.147  📏
chemotherapy (prescription) 0.145
🕮  neomycin (antibiotic)s[CFS] 0.144
salvia officinalis (sage) 0.14
cinnamon (oil. spice) 0.135  📏
🕮  cefaclor hydrate (antibiotic) 0.131
🕮  chlorhexidine 0.131
sulfites food additives 0.13
🕮  spiramycin (antibiotic) 0.13
triphala 0.129  📏
sorghum 0.129
florfenicol 0.128
salt (sodium chloride) 0.128
🕮  cefazolin sodium salt (antibiotic) 0.127
🕮  cefdinir (antibiotic) 0.127
🕮  ofloxacin (antibiotic)s 0.125
bacillus laterosporus (probiotic) 0.124
saccharin 0.124  📏

To Remove or Decrease

Modifier Confidence 📹
🕮  inulin (prebiotic) 1
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.815
🕮  fructo-oligosaccharides (prebiotic) 0.787
🕮  resveratrol (grape seed/polyphenols/red wine) 0.655
arabinogalactan (prebiotic) 0.562
🕮  lactulose 0.556
bacillus subtilis (probiotics) 0.515
soy 0.513
apple 0.451
resistant starch 0.439
raffinose(sugar beet) 0.422
wheat bran 0.403
🕮  lactobacillus plantarum (probiotics) 0.39
jerusalem artichoke (prebiotic) 0.378
almonds/ almond skins 0.377
sesame cake/meal 0.373
proton-pump inhibitors (prescription) 0.356
🕮  lactobacillus acidophilus (probiotics) 0.327
🕮  galacto-oligosaccharides (prebiotic) 0.326
navy bean 0.324
🕮  metformin (prescription) 0.321
blueberry 0.265
ketogenic diet 0.258
magnesium 0.256
🕮  Glucomannan 0.254
🕮  gum arabic (prebiotic) 0.251
mediterranean diet 0.249
🕮  pectin 0.242
daesiho-tang 0.241
fasting 0.235
Conjugated Linoleic Acid 0.234
barley,oat 0.227
whey 0.225
clostridium butyricum (probiotics),Miya,Miyarisan 0.211
🕮  oligosaccharides (prebiotic) 0.209
red wine 0.204
🕮  Pulses 0.196
🕮  lactobacillus plantarum,xylooligosaccharides,(prebiotic) (probiotics) 0.195
chondrus crispus,red sea weed 0.195
Lactobacillus Johnsonii (probiotic) 0.194
🕮  bifidobacterium lactis bb12 (probiotics) 0.189
pea (fiber, protein) 0.188
high fiber diet 0.186
🕮  lactobacillus reuteri (probiotics) 0.182
🕮  Dangshen 0.182
Slippery Elm 0.179
barley 0.173
fish oil 0.17
plantago asiatica l. 0.169
walnuts 0.168
🕮  zinc 0.163
🕮  Burdock Root 0.16
partially hydrolysed guar gum,fructo-oligosaccharides (prebiotic) 0.159
oats 0.158
🕮  acarbose,(prescription) 0.156
🕮  Olive Oil 0.154
pomegranate 0.154
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.153
🕮  partially hydrolyzed guar gum 0.153
🕮  Limosilactobacillus fermentum (probiotic) 0.15
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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