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:
Bacteria Selection:Outside of Range
Filter: From Special Studies V2: Neurocognitive:%20Brain%20Fog_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

Summary of health impacts of top 15 suggestions
Modifier (Alt Names on Hover) Confidence ๐Ÿ“น
๐Ÿ•ฎ  imipenem (antibiotic)s 0.859
๐Ÿ•ฎ  piperacillin-tazobactam (antibiotic)s 0.824
๐Ÿ•ฎ  ciprofloxacin (antibiotic)s[CFS] 0.669
๐Ÿ•ฎ  clindamycin (antibiotic)s[CFS] 0.654
๐Ÿ•ฎ  meropenem (antibiotic)s 0.598
๐Ÿ•ฎ  vancomycin (antibiotic)[CFS] 0.571
๐Ÿ•ฎ  gentamicin (antibiotic)s 0.537
๐Ÿ•ฎ  metronidazole (antibiotic)s[CFS] 0.537
๐Ÿ•ฎ  amoxicillin (antibiotic)s[CFS] 0.504
๐Ÿ•ฎ  minocycline (antibiotic)s[CFS] 0.493
๐Ÿ•ฎ  chloramphenicol (antibiotic)s 0.484
๐Ÿ•ฎ  ampicillin (antibiotic)s[CFS] 0.474
๐Ÿ•ฎ  thyme (thymol, thyme oil) 0.464
๐Ÿ•ฎ  benzylpenicillin sodium (antibiotic) 0.456
๐Ÿ•ฎ  doxycycline (antibiotic)s[CFS] 0.406
๐Ÿ•ฎ  tobramycin (antibiotic)s 0.403
๐Ÿ•ฎ  erythromycin (antibiotic)s[CFS] 0.393
whole-grain barley 0.382  ๐Ÿ“
๐Ÿ•ฎ  azithromycin,(antibiotic)s[CFS] 0.382  ๐Ÿ“
sucralose 0.381  ๐Ÿ“
๐Ÿ•ฎ  cefotaxime sodium salt (antibiotic) 0.365
walnuts 0.365  ๐Ÿ“
fluoroquinolone (antibiotic)s 0.337
๐Ÿ•ฎ  lactobacillus kefiri (NOT KEFIR) 0.332
๐Ÿ•ฎ  moxifloxacin (antibiotic) 0.322
๐Ÿ•ฎ  ofloxacin (antibiotic)s 0.292
๐Ÿ•ฎ  clarithromycin (antibiotic)s[CFS] 0.288
peppermint (spice, oil) 0.278
๐Ÿ•ฎ  sparfloxacin (antibiotic) 0.256
๐Ÿ•ฎ  rifampicin (antibiotic)s 0.254
๐Ÿ•ฎ  nitrofurantoin (antibiotic) 0.254
polymannuronic acid 0.251
๐Ÿ•ฎ  garlic (allium sativum) 0.241  ๐Ÿ“
๐Ÿ•ฎ  gatifloxacin (antibiotic) 0.236
๐Ÿ•ฎ  ornidazole (antibiotic)s 0.232
low carbohydrate diet 0.231
coriander oil 0.231
๐Ÿ•ฎ  norfloxacin (antibiotic)s 0.23
mastic gum (prebiotic) 0.23  ๐Ÿ“
๐Ÿ•ฎ  bacitracin (antibiotic) 0.216
๐Ÿ•ฎ  Nicotine, Nicotine Patch 0.216
lemongrass oil 0.207
๐Ÿ•ฎ  trimethoprim (antibiotic)s 0.205
๐Ÿ•ฎ  spiramycin (antibiotic) 0.2
๐Ÿ•ฎ  cannabinoids 0.197
momordia charantia(bitter melon, karela, balsam pear, or bitter gourd) 0.191
๐Ÿ•ฎ  amikacin (antibiotic)s 0.19
florfenicol 0.185
lavender 0.183
cinnamon (oil. spice) 0.181  ๐Ÿ“
๐Ÿ•ฎ  cefoxitin (antibiotic)s 0.179
vitamin a 0.175  ๐Ÿ“
cephalothin sodium salt (antibiotic) 0.174
๐Ÿ•ฎ  lauric acid(fatty acid in coconut oil,in palm kernel oil,) 0.173
๐Ÿ•ฎ  cefuroxime sodium salt (antibiotic) 0.173
beta lactam (antibiotic)s 0.172
๐Ÿ•ฎ  ceftazidime (antibiotic)s 0.171
๐Ÿ•ฎ  ketoconazole,(prescription) 0.162
๐Ÿ•ฎ  Perilla frutescens(shiso) 0.16  ๐Ÿ“
๐Ÿ•ฎ  colistin sulfate (antibiotic) 0.159

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 1
resistant starch 0.806
arabinogalactan (prebiotic) 0.761
๐Ÿ•ฎ  inulin (prebiotic) 0.755
Slippery Elm 0.716
๐Ÿ•ฎ  berberine 0.698
red wine 0.606
ketogenic diet 0.57
๐Ÿ•ฎ  fructo-oligosaccharides (prebiotic) 0.52
mediterranean diet 0.507
๐Ÿ•ฎ  Pulses 0.474
๐Ÿ•ฎ  galacto-oligosaccharides (prebiotic) 0.426
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.418
proton-pump inhibitors (prescription) 0.409
xylan (prebiotic) 0.398
l-citrulline 0.379
apple 0.369
wheat bran 0.367
navy bean 0.363
๐Ÿ•ฎ  pectin 0.358
blueberry 0.355
saccharin 0.345
๐Ÿ•ฎ  iron 0.336
non-starch polysaccharides 0.331
resistant maltodextrin 0.326
๐Ÿ•ฎ  metformin (prescription) 0.318
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.302
๐Ÿ•ฎ  lactobacillus acidophilus (probiotics) 0.294
soy 0.29
๐Ÿ•ฎ  Bofutsushosan 0.288
cranberry bean flour 0.268
stevia 0.264
fasting 0.259
๐Ÿ•ฎ  Moringa Oleifera 0.256
ku ding cha tea 0.255
๐Ÿ•ฎ  partially hydrolyzed guar gum 0.253
๐Ÿ•ฎ  lactobacillus rhamnosus (probiotics) 0.236
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.231
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.229
๐Ÿ•ฎ  Limosilactobacillus fermentum (probiotic) 0.227
vegetarians 0.224
gynostemma pentaphyllum (Jiaogulan) 0.209
high red meat 0.208
Guaiacol (polyphenol) 0.207
๐Ÿ•ฎ  emblica officinalis 0.205
plantago asiatica l. 0.199
daesiho-tang 0.198
๐Ÿ•ฎ  epinephrine 0.198
๐Ÿ•ฎ  Bile Acid Sequestrant 0.197
๐Ÿ•ฎ  banana 0.192
oats 0.19
partially hydrolysed guar gum,fructo-oligosaccharides (prebiotic) 0.186
๐Ÿ•ฎ  Astragalus 0.184
wheat 0.184
๐Ÿ•ฎ  lactulose 0.183
levan 0.18
macrolide ((antibiotic)s) 0.18
๐Ÿ•ฎ  saccharomyces boulardii (probiotics) 0.178
bacillus subtilis (probiotics) 0.177
๐Ÿ•ฎ  glycerol monolaurate (Monolaurin) 0.177
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.

Explanations/Info/Descriptions are influenced by Large Language Models and may not be accurate and include some hallucinations. Please report any to us for correction.

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.