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: DePaul%20University%20Fatigue%20Questionnaire%20:%20Slowness%20of%20thought_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 1
๐Ÿ•ฎ  gentamicin (antibiotic)s 0.892
๐Ÿ•ฎ  amoxicillin (antibiotic)s[CFS] 0.834
๐Ÿ•ฎ  ciprofloxacin (antibiotic)s[CFS] 0.825
๐Ÿ•ฎ  piperacillin-tazobactam (antibiotic)s 0.798
๐Ÿ•ฎ  amikacin (antibiotic)s 0.735
๐Ÿ•ฎ  trimethoprim (antibiotic)s 0.652
๐Ÿ•ฎ  ofloxacin (antibiotic)s 0.64
๐Ÿ•ฎ  cefotaxime sodium salt (antibiotic) 0.611
๐Ÿ•ฎ  meropenem (antibiotic)s 0.601
clostridium butyricum (probiotics),Miya,Miyarisan 0.539  ๐Ÿ“
๐Ÿ•ฎ  chloramphenicol (antibiotic)s 0.494
foeniculum vulgare,fennel 0.478
๐Ÿ•ฎ  benzylpenicillin sodium (antibiotic) 0.47
oregano (origanum vulgare, oil) | 0.464
cinnamon (oil. spice) 0.449  ๐Ÿ“
๐Ÿ•ฎ  vitamin d 0.43  ๐Ÿ“
๐Ÿ•ฎ  ceftazidime (antibiotic)s 0.426
๐Ÿ•ฎ  lactobacillus reuteri (probiotics) 0.418  ๐Ÿ“
๐Ÿ•ฎ  ampicillin (antibiotic)s[CFS] 0.416
syzygium aromaticum (clove) 0.416
๐Ÿ•ฎ  clindamycin (antibiotic)s[CFS] 0.393
Curcumin 0.391  ๐Ÿ“
๐Ÿ•ฎ  thyme (thymol, thyme oil) 0.388
๐Ÿ•ฎ  norfloxacin (antibiotic)s 0.384
๐Ÿ•ฎ  garlic (allium sativum) 0.375  ๐Ÿ“
whey 0.372  ๐Ÿ“
triphala 0.371  ๐Ÿ“
neem 0.36  ๐Ÿ“
fluoroquinolone (antibiotic)s 0.352
๐Ÿ•ฎ  lactobacillus rhamnosus gg (probiotics) 0.343  ๐Ÿ“
๐Ÿ•ฎ  metronidazole (antibiotic)s[CFS] 0.326
๐Ÿ•ฎ  azithromycin,(antibiotic)s[CFS] 0.315  ๐Ÿ“
๐Ÿ•ฎ  tobramycin (antibiotic)s 0.309
barley 0.307  ๐Ÿ“
intesti-bacteriophage 0.306
๐Ÿ•ฎ  sparfloxacin (antibiotic) 0.297
๐Ÿ•ฎ  lactobacillus casei (probiotics) 0.289  ๐Ÿ“
๐Ÿ•ฎ  ceftriaxone (antibiotic)s 0.288
whole-grain barley 0.279  ๐Ÿ“
rosmarinus officinalis,rosemary 0.278
๐Ÿ•ฎ  nitrofurantoin (antibiotic) 0.273
coriander oil 0.266
๐Ÿ•ฎ  Vitamin B-12 0.245  ๐Ÿ“
๐Ÿ•ฎ  clarithromycin (antibiotic)s[CFS] 0.242
polymannuronic acid 0.24
๐Ÿ•ฎ  moxifloxacin (antibiotic) 0.24
๐Ÿ•ฎ  gatifloxacin (antibiotic) 0.233
laser trilobum l.,kefe cumin 0.23
choline 0.224  ๐Ÿ“
๐Ÿ•ฎ  erythromycin (antibiotic)s[CFS] 0.223
chitosan,(sugar) 0.22  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.217  ๐Ÿ“
Bismuth Salts 0.215
bacillus subtilis (probiotics) 0.213  ๐Ÿ“
๐Ÿ•ฎ  ornidazole (antibiotic)s 0.209
salvia officinalis (sage) 0.204
pediococcus acidilactic (probiotic) 0.202
๐Ÿ•ฎ  aztreonam (antibiotic) 0.199
๐Ÿ•ฎ  rifampicin (antibiotic)s 0.194

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
Slippery Elm 0.815
blueberry 0.658
๐Ÿ•ฎ  Reduce choline (Beef, Chicken Eggs) 0.446
๐Ÿ•ฎ  berberine 0.412
aspartame (sweetner) 0.402
resistant starch 0.394
navy bean 0.389
arabinogalactan (prebiotic) 0.37
๐Ÿ•ฎ  inulin (prebiotic) 0.367
red wine 0.354
non-starch polysaccharides 0.283
๐Ÿ•ฎ  iron 0.266
fasting 0.259
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.251
proton-pump inhibitors (prescription) 0.248
penicillin-moxalactam (antibiotic)s 0.248
๐Ÿ•ฎ  high-fat diets 0.231
๐Ÿ•ฎ  fructo-oligosaccharides (prebiotic) 0.231
saccharin 0.229
macrolide ((antibiotic)s) 0.226
๐Ÿ•ฎ  Pulses 0.224
๐Ÿ•ฎ  metformin (prescription) 0.209
wheat bran 0.206
l-proline 0.204
sulfonamide (antibiotic)s 0.2
levan 0.198
ku ding cha tea 0.185
carboxymethyl cellulose (prebiotic) 0.181
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.169
resistant maltodextrin 0.167
polysorbate 80 0.16
symbioflor 2 e.coli probiotics 0.159
l-citrulline 0.156
๐Ÿ•ฎ  Rutin 0.156
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.149
General Biotics Equilibrium 0.141
vitamin a 0.14
xylan (prebiotic) 0.138
mediterranean diet 0.136
๐Ÿ•ฎ  galacto-oligosaccharides (prebiotic) 0.134
๐Ÿ•ฎ  saccharomyces boulardii (probiotics) 0.133
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.13
๐Ÿ•ฎ  Prescript Assist (2018 Formula) 0.13
๐Ÿ•ฎ  pectin 0.127
green-lipped mussel 0.125
Guaiacol (polyphenol) 0.12
red alga Laurencia tristicha 0.12
๐Ÿ•ฎ  acetylsalicylic acid,aspirin 0.117
almonds/ almond skins 0.115
๐Ÿ•ฎ  streptomycin (antibiotic)s 0.111
๐Ÿ•ฎ  Methylene blue 0.109
Ferric citrate 0.105
๐Ÿ•ฎ  chestnut tannins 0.105
salt (sodium chloride) 0.103
apple 0.103
๐Ÿ•ฎ  Bile Acid Sequestrant 0.103
๐Ÿ•ฎ  Moringa Oleifera 0.102
๐Ÿ•ฎ  Bofutsushosan 0.101
cvs maximum strength probiotic 0.101
plantago asiatica l. 0.099
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.