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: Pain: Joint pain_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  piperacillin-tazobactam (antibiotic)s 0.852
๐Ÿ•ฎ  gentamicin (antibiotic)s 0.719
๐Ÿ•ฎ  ofloxacin (antibiotic)s 0.663
๐Ÿ•ฎ  ciprofloxacin (antibiotic)s[CFS] 0.652
fluoroquinolone (antibiotic)s 0.633
๐Ÿ•ฎ  amikacin (antibiotic)s 0.565
๐Ÿ•ฎ  amoxicillin (antibiotic)s[CFS] 0.455
๐Ÿ•ฎ  cefotaxime sodium salt (antibiotic) 0.446
๐Ÿ•ฎ  benzylpenicillin sodium (antibiotic) 0.445
๐Ÿ•ฎ  trimethoprim (antibiotic)s 0.395
๐Ÿ•ฎ  ceftriaxone (antibiotic)s 0.373
๐Ÿ•ฎ  meropenem (antibiotic)s 0.364
๐Ÿ•ฎ  vancomycin (antibiotic)[CFS] 0.354
๐Ÿ•ฎ  tobramycin (antibiotic)s 0.323
foeniculum vulgare,fennel 0.298
๐Ÿ•ฎ  norfloxacin (antibiotic)s 0.285
๐Ÿ•ฎ  sparfloxacin (antibiotic) 0.272
๐Ÿ•ฎ  chloramphenicol (antibiotic)s 0.263
๐Ÿ•ฎ  ceftazidime (antibiotic)s 0.227
๐Ÿ•ฎ  ampicillin (antibiotic)s[CFS] 0.226
neem 0.21  ๐Ÿ“
Curcumin 0.207  ๐Ÿ“
clostridium butyricum (probiotics),Miya,Miyarisan 0.201  ๐Ÿ“
๐Ÿ•ฎ  clindamycin (antibiotic)s[CFS] 0.2
๐Ÿ•ฎ  thyme (thymol, thyme oil) 0.199
๐Ÿ•ฎ  vitamin d 0.19  ๐Ÿ“
๐Ÿ•ฎ  garlic (allium sativum) 0.189  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus rhamnosus gg (probiotics) 0.188  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus casei (probiotics) 0.185  ๐Ÿ“
๐Ÿ•ฎ  minocycline (antibiotic)s[CFS] 0.173
syzygium aromaticum (clove) 0.173
๐Ÿ•ฎ  azithromycin,(antibiotic)s[CFS] 0.165  ๐Ÿ“
oregano (origanum vulgare, oil) | 0.16
๐Ÿ•ฎ  lactobacillus reuteri (probiotics) 0.154  ๐Ÿ“
๐Ÿ•ฎ  rifaximin (antibiotic)s 0.153  ๐Ÿ“
cinnamon (oil. spice) 0.151  ๐Ÿ“
rosmarinus officinalis,rosemary 0.147
schinus molle (herb) 0.135
triphala 0.135  ๐Ÿ“
intesti-bacteriophage 0.128
๐Ÿ•ฎ  clarithromycin (antibiotic)s[CFS] 0.127
coriander oil 0.12
sucralose 0.116  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus paracasei (probiotics) 0.115  ๐Ÿ“
peppermint (spice, oil) 0.113
tea 0.113
whey 0.111  ๐Ÿ“
chitosan,(sugar) 0.109  ๐Ÿ“
๐Ÿ•ฎ  rifampicin (antibiotic)s 0.106
๐Ÿ•ฎ  nitrofurantoin (antibiotic) 0.103
Bismuth Salts 0.102
laser trilobum l.,kefe cumin 0.1
๐Ÿ•ฎ  moxifloxacin (antibiotic) 0.098
whole-grain barley 0.096  ๐Ÿ“
๐Ÿ•ฎ  aztreonam (antibiotic) 0.096
๐Ÿ•ฎ  Vitamin B-12 0.095  ๐Ÿ“
๐Ÿ•ฎ  metronidazole (antibiotic)s[CFS] 0.095
choline 0.093  ๐Ÿ“
barley 0.092  ๐Ÿ“

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
aspartame (sweetner) 0.379
proton-pump inhibitors (prescription) 0.296
blueberry 0.274
navy bean 0.207
๐Ÿ•ฎ  Reduce choline (Beef, Chicken Eggs) 0.181
arabinogalactan (prebiotic) 0.173
๐Ÿ•ฎ  resveratrol (grape seed/polyphenols/red wine) 0.168
๐Ÿ•ฎ  inulin (prebiotic) 0.156
Slippery Elm 0.154
fasting 0.137
๐Ÿ•ฎ  metformin (prescription) 0.132
๐Ÿ•ฎ  high-fat diets 0.131
resistant starch 0.124
๐Ÿ•ฎ  berberine 0.123
macrolide ((antibiotic)s) 0.118
red wine 0.117
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.113
๐Ÿ•ฎ  fructo-oligosaccharides (prebiotic) 0.11
non-starch polysaccharides 0.097
xylan (prebiotic) 0.096
๐Ÿ•ฎ  pectin 0.089
๐Ÿ•ฎ  Pulses 0.088
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.088
penicillin-moxalactam (antibiotic)s 0.086
sesame cake/meal 0.084
raffinose(sugar beet) 0.084
ku ding cha tea 0.082
levan 0.081
mediterranean diet 0.079
๐Ÿ•ฎ  iron 0.079
wheat bran 0.077
almonds/ almond skins 0.077
๐Ÿ•ฎ  lactulose 0.077
sulfonamide (antibiotic)s 0.076
๐Ÿ•ฎ  galacto-oligosaccharides (prebiotic) 0.075
carboxymethyl cellulose (prebiotic) 0.074
๐Ÿ•ฎ  Bofutsushosan 0.074
l-citrulline 0.073
carob 0.073
vitamin a 0.069
jerusalem artichoke (prebiotic) 0.068
pea (fiber, protein) 0.066
symbioflor 2 e.coli probiotics 0.066
Conjugated Linoleic Acid 0.066
๐Ÿ•ฎ  galactose (milk sugar) 0.065
sodium butyrate 0.064
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.063
plantago asiatica l. 0.06
apple 0.059
green-lipped mussel 0.058
๐Ÿ•ฎ  Prescript Assist (2018 Formula) 0.058
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.057
๐Ÿ•ฎ  Moringa Oleifera 0.055
magnesium 0.055
daesiho-tang 0.052
๐Ÿ•ฎ  kanamycin (antibiotic)s 0.05
General Biotics Equilibrium 0.05
high sugar diet 0.049
polysorbate 80 0.048
๐Ÿ•ฎ  Bile Acid Sequestrant 0.048
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.