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: Neurological:%20Word-finding%20problems_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 📹
🕮  piperacillin-tazobactam (antibiotic)s 1
🕮  imipenem (antibiotic)s 0.965
🕮  gentamicin (antibiotic)s 0.877
🕮  vancomycin (antibiotic)[CFS] 0.732
🕮  benzylpenicillin sodium (antibiotic) 0.692
🕮  amoxicillin (antibiotic)s[CFS] 0.691
🕮  meropenem (antibiotic)s 0.623
🕮  ciprofloxacin (antibiotic)s[CFS] 0.59
🕮  ampicillin (antibiotic)s[CFS] 0.534
fluoroquinolone (antibiotic)s 0.528
cinnamon (oil. spice) 0.499  📏
syzygium aromaticum (clove) 0.499
🕮  ceftriaxone (antibiotic)s 0.498
🕮  thyme (thymol, thyme oil) 0.451
🕮  trimethoprim (antibiotic)s 0.392
🕮  tobramycin (antibiotic)s 0.391
🕮  cefotaxime sodium salt (antibiotic) 0.371
foeniculum vulgare,fennel 0.342
🕮  clarithromycin (antibiotic)s[CFS] 0.307
🕮  amikacin (antibiotic)s 0.288
🕮  minocycline (antibiotic)s[CFS] 0.286
🕮  ofloxacin (antibiotic)s 0.276
triphala 0.271  📏
peppermint (spice, oil) 0.267
neem 0.26  📏
🕮  clindamycin (antibiotic)s[CFS] 0.26
rosmarinus officinalis,rosemary 0.254
🕮  garlic (allium sativum) 0.254  📏
🕮  erythromycin (antibiotic)s[CFS] 0.247
Curcumin 0.229  📏
🕮  chloramphenicol (antibiotic)s 0.229
trachyspermum ammi, Ajwain 0.228
intesti-bacteriophage 0.228
🕮  tigecycline (antibiotic)s 0.226
🕮  rifaximin (antibiotic)s 0.225  📏
Sumac(Rhus coriaria) 0.223
🕮  doxycycline (antibiotic)s[CFS] 0.222
oregano (origanum vulgare, oil) | 0.214
🕮  norfloxacin (antibiotic)s 0.2
🕮  sparfloxacin (antibiotic) 0.197
stevia 0.195  📏
coriander oil 0.191
aloe vera 0.187
mastic gum (prebiotic) 0.187  📏
🕮  azithromycin,(antibiotic)s[CFS] 0.185  📏
🕮  nitrofurantoin (antibiotic) 0.182
🕮  metronidazole (antibiotic)s[CFS] 0.178
PYO Bacteriophage 0.176
🕮  lactobacillus kefiri (NOT KEFIR) 0.175
glycyrrhizic acid (licorice) 0.164  📏
olea europaea,olive leaf 0.16  📏
Umeboshi (Japanese Apricot or Prunus mume ) 0.159
galla chinensis (herb) 0.141
🕮  hyoscyamine (l),(prescription) [Can cause cognitive issues] 0.139
lemongrass oil 0.137
bacillus laterosporus (probiotic) 0.135
🕮  tetracycline (antibiotic)s 0.134
🕮  ceftazidime (antibiotic)s 0.134
laser trilobum l.,kefe cumin 0.131
atropine (prescription) [Can cause cognitive issues] 0.131

To Remove or Decrease

Modifier Confidence 📹
proton-pump inhibitors (prescription) 0.42
🕮  lactulose 0.396
🕮  berberine 0.349
arabinogalactan (prebiotic) 0.303
🕮  saccharomyces boulardii (probiotics) 0.282
🕮  Pulses 0.266
red wine 0.259
mediterranean diet 0.25
Slippery Elm 0.234
non-starch polysaccharides 0.215
vsl#3 (probiotics) 0.213
raffinose(sugar beet) 0.212
apple 0.209
l-citrulline 0.18
🕮  oligosaccharides (prebiotic) 0.18
ketogenic diet 0.179
🕮  inulin (prebiotic) 0.173
Vitamin C (ascorbic acid) 0.169
navy bean 0.154
wheat bran 0.15
macrolide ((antibiotic)s) 0.147
🕮  lactobacillus plantarum (probiotics) 0.144
🕮  metformin (prescription) 0.142
chemotherapy (prescription) 0.136
🕮  fructo-oligosaccharides (prebiotic) 0.134
gynostemma pentaphyllum (Jiaogulan) 0.134
blueberry 0.131
🕮  lactobacillus gasseri (probiotics) 0.13
high carbohydrate diet 0.128
xylan (prebiotic) 0.127
heme 0.122
fish oil 0.117
barley,oat 0.117
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.115
sesame cake/meal 0.113
🕮  alcoholic beverages 0.11
🕮  epinephrine 0.108
🕮  Bofutsushosan 0.107
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.107
pea (fiber, protein) 0.106
dairy 0.102
amaranth 0.101
🕮  chestnut tannins 0.1
palm kernel meal 0.099
green-lipped mussel 0.098
cranberry bean flour 0.097
🕮  galacto-oligosaccharides (prebiotic) 0.095
🕮  lactobacillus rhamnosus gg (probiotics) 0.095
Sijunzi decoction 0.095
🕮  lactobacillus acidophilus (probiotics) 0.093
chondrus crispus,red sea weed 0.093
sarcodiotheca gaudichaudii (red sea weed) 0.093
🕮  kanamycin (antibiotic)s 0.091
fasting 0.089
🕮  bifidobacterium longum (probiotics) 0.086
lincosamide (antibiotic)s 0.085
bacillus subtilis (probiotics) 0.082
🕮  pectin 0.081
🕮  paromomycin (antibiotic)s 0.08
lividomycin (antibiotic)s 0.08
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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