Why some suggestions may contradict

RECOMMENDED READING Caveats on using the contents of this page. ๐Ÿ‘จโ€โš•๏ธ

If you need help with this information, here is a list of consultants ๐Ÿ‘จโ€โš•๏ธ๐Ÿ‘ฉโ€โš•๏ธ that are available.

Suggestion Parameters

Sample:A Priori (from theoretical deduction)
Bacteria Selection:Outside of Range
Filter: From Special Studies V2: Pain:%20Eye%20pain_Drugs
Rank Used: All Ranks
Shifts Used:High and Low Levels
Citations Used:

How do we know if the suggestions are reasonable/valid?

๐Ÿฑ Food Menu Planner ๐Ÿฝ๏ธ ๐Ÿ“น 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 ๐Ÿ“น
๐Ÿ•ฎ  azithromycin,(antibiotic)s[CFS] 1  ๐Ÿ“
๐Ÿ•ฎ  metronidazole (antibiotic)s[CFS] 0.716
๐Ÿ•ฎ  clindamycin (antibiotic)s[CFS] 0.575
๐Ÿ•ฎ  amoxicillin (antibiotic)s[CFS] 0.539
๐Ÿ•ฎ  rifaximin (antibiotic)s 0.484  ๐Ÿ“
mastic gum (prebiotic) 0.47  ๐Ÿ“
๐Ÿ•ฎ  doxycycline (antibiotic)s[CFS] 0.45
neem 0.411  ๐Ÿ“
galla chinensis (herb) 0.4
๐Ÿ•ฎ  imipenem (antibiotic)s 0.4
๐Ÿ•ฎ  minocycline (antibiotic)s[CFS] 0.372
๐Ÿ•ฎ  benzylpenicillin sodium (antibiotic) 0.363
๐Ÿ•ฎ  erythromycin (antibiotic)s[CFS] 0.358
๐Ÿ•ฎ  moxifloxacin (antibiotic) 0.347
Bismuth Salts 0.345
๐Ÿ•ฎ  chloramphenicol (antibiotic)s 0.332
๐Ÿ•ฎ  bifidobacterium longum,lactobacillus helveticus (probiotics) 0.325
๐Ÿ•ฎ  thyme (thymol, thyme oil) 0.306
cinnamon (oil. spice) 0.296  ๐Ÿ“
๐Ÿ•ฎ  piperacillin-tazobactam (antibiotic)s 0.292
rosmarinus officinalis,rosemary 0.285
sucralose 0.276  ๐Ÿ“
๐Ÿ•ฎ  Shen Ling Bai Zhu San 0.242
๐Ÿ•ฎ  rifampicin (antibiotic)s 0.23
tea 0.215
gluten-free diet 0.213
fluoroquinolone (antibiotic)s 0.202
๐Ÿ•ฎ  ornidazole (antibiotic)s 0.202
๐Ÿ•ฎ  ciprofloxacin (antibiotic)s[CFS] 0.201
๐Ÿ•ฎ  sparfloxacin (antibiotic) 0.199
๐Ÿ•ฎ  meropenem (antibiotic)s 0.183
๐Ÿ•ฎ  nitrofurantoin (antibiotic) 0.181
bacillus coagulans (probiotics) 0.176  ๐Ÿ“
๐Ÿ•ฎ  chlorhexidine 0.174
๐Ÿ•ฎ  lactobacillus salivarius (probiotics) 0.168  ๐Ÿ“
whole-grain barley 0.167  ๐Ÿ“
quercetin 0.166  ๐Ÿ“
๐Ÿ•ฎ  risperidone,(prescription) 0.162
๐Ÿ•ฎ  Hesperidin (polyphenol) 0.161  ๐Ÿ“
clostridium butyricum (probiotics),Miya,Miyarisan 0.156  ๐Ÿ“
inula viscosa,false yellowhead 0.154
olea europaea,olive leaf 0.154  ๐Ÿ“
quercetin,resveratrol 0.151
๐Ÿ•ฎ  cefoxitin (antibiotic)s 0.151
florfenicol 0.15
๐Ÿ•ฎ  spectinomycin dihydrochloride (antibiotic) 0.145
๐Ÿ•ฎ  tylosin,(prescription) 0.143
cephalothin sodium salt (antibiotic) 0.143
๐Ÿ•ฎ  hexachlorophene 0.143
๐Ÿ•ฎ  cefuroxime sodium salt (antibiotic) 0.143
๐Ÿ•ฎ  ticarcillin sodium (antibiotic) 0.143
oxytetracycline dihydrate (antibiotic) 0.143
๐Ÿ•ฎ  thiamphenicol (antibiotic) 0.143
๐Ÿ•ฎ  clarithromycin (antibiotic)s[CFS] 0.143
Demeclocycline hydrochloride 0.143
๐Ÿ•ฎ  lincomycin (antibiotic)s 0.143
๐Ÿ•ฎ  cefdinir (antibiotic) 0.143
๐Ÿ•ฎ  cefotaxime sodium salt (antibiotic) 0.143
๐Ÿ•ฎ  pentamidine isethionate,(prescription) 0.143
๐Ÿ•ฎ  closantel,(prescription) 0.143

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
๐Ÿ•ฎ  inulin (prebiotic) 0.972
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.7
resistant starch 0.662
arabinogalactan (prebiotic) 0.54
proton-pump inhibitors (prescription) 0.472
๐Ÿ•ฎ  berberine 0.426
๐Ÿ•ฎ  metformin (prescription) 0.363
bacillus amyloliquefaciens (probiotic) 0.33
๐Ÿ•ฎ  fructo-oligosaccharides (prebiotic) 0.325
๐Ÿ•ฎ  Pulses 0.324
๐Ÿ•ฎ  pectin 0.32
barley 0.311
Slippery Elm 0.305
red wine 0.298
vitamin a 0.289
fasting 0.285
๐Ÿ•ฎ  Moringa Oleifera 0.274
๐Ÿ•ฎ  Prescript Assist (2018 Formula) 0.258
๐Ÿ•ฎ  enterococcus faecium (probiotic) 0.255
gallic acid (food additive) 0.255
high red meat 0.254
๐Ÿ•ฎ  lactobacillus acidophilus (probiotics) 0.252
๐Ÿ•ฎ  resveratrol (grape seed/polyphenols/red wine) 0.239
rare meat 0.237
๐Ÿ•ฎ  lactobacillus gasseri (probiotics) 0.234
bile (acid/salts) 0.233
soy 0.227
almonds/ almond skins 0.224
๐Ÿ•ฎ  Bile Acid Sequestrant 0.223
๐Ÿ•ฎ  banana 0.222
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.219
pea (fiber, protein) 0.218
๐Ÿ•ฎ  zinc 0.217
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.208
wheat bran 0.206
carboxymethyl cellulose (prebiotic) 0.205
๐Ÿ•ฎ  l-arginine 0.197
resistant maltodextrin 0.195
chemotherapy (prescription) 0.192
non-starch polysaccharides 0.188
๐Ÿ•ฎ  lactobacillus paracasei (probiotics) 0.187
l-citrulline 0.183
Tryptophan 0.18
๐Ÿ•ฎ  Glucomannan 0.177
saccharin 0.177
๐Ÿ•ฎ  lactobacillus reuteri (probiotics) 0.177
sesame cake/meal 0.175
l-histidine 0.172
๐Ÿ•ฎ  bifidobacterium longum (probiotics) 0.17
blueberry 0.17
magnesium 0.169
cholic acid (bile acid) 0.169
barley,oat 0.168
Alpha-Ketoglutarate 0.167
๐Ÿ•ฎ  lactobacillus rhamnosus (probiotics) 0.165
๐Ÿ•ฎ  Bofutsushosan 0.162
Conjugated Linoleic Acid 0.16
vegetarians 0.156
plantago asiatica l. 0.156
๐Ÿ•ฎ  Burdock Root 0.149
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.

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 ยงโ€ฏ1030, 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.


The awesome web hosting site that we use. Try it if you need to host (or unhappy with current provider)