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

Bacteria Selection:Outside of Range
Filter: From Symptom Studies [2024]: Autonomic: Shortness of breath_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


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 0.837
๐Ÿ•ฎ  gentamicin (antibiotic)s 0.752
๐Ÿ•ฎ  ciprofloxacin (antibiotic)s[CFS] 0.748
fluoroquinolone (antibiotic)s 0.586
๐Ÿ•ฎ  ofloxacin (antibiotic)s 0.581
๐Ÿ•ฎ  amoxicillin (antibiotic)s[CFS] 0.468
๐Ÿ•ฎ  benzylpenicillin sodium (antibiotic) 0.442
๐Ÿ•ฎ  vancomycin (antibiotic)[CFS] 0.433
๐Ÿ•ฎ  amikacin (antibiotic)s 0.419
๐Ÿ•ฎ  cefotaxime sodium salt (antibiotic) 0.402
๐Ÿ•ฎ  ceftriaxone (antibiotic)s 0.394
๐Ÿ•ฎ  meropenem (antibiotic)s 0.385
๐Ÿ•ฎ  tobramycin (antibiotic)s 0.369
๐Ÿ•ฎ  trimethoprim (antibiotic)s 0.353
foeniculum vulgare,fennel 0.32
๐Ÿ•ฎ  garlic (allium sativum) 0.31  ๐Ÿ“
๐Ÿ•ฎ  ampicillin (antibiotic)s[CFS] 0.31
๐Ÿ•ฎ  norfloxacin (antibiotic)s 0.288
cinnamon (oil. spice) 0.285  ๐Ÿ“
clostridium butyricum (probiotics),Miya,Miyarisan 0.278  ๐Ÿ“
๐Ÿ•ฎ  minocycline (antibiotic)s[CFS] 0.273
๐Ÿ•ฎ  thyme (thymol, thyme oil) 0.273
๐Ÿ•ฎ  sparfloxacin (antibiotic) 0.256
๐Ÿ•ฎ  clindamycin (antibiotic)s[CFS] 0.255
๐Ÿ•ฎ  chloramphenicol (antibiotic)s 0.242
๐Ÿ•ฎ  vitamin d 0.23  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus casei (probiotics) 0.227  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.22  ๐Ÿ“
triphala 0.211  ๐Ÿ“
whey 0.209  ๐Ÿ“
๐Ÿ•ฎ  azithromycin,(antibiotic)s[CFS] 0.197  ๐Ÿ“
neem 0.196  ๐Ÿ“
oregano (origanum vulgare, oil) | 0.193
๐Ÿ•ฎ  lactobacillus paracasei (probiotics) 0.192  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus reuteri (probiotics) 0.183  ๐Ÿ“
syzygium aromaticum (clove) 0.182
๐Ÿ•ฎ  clarithromycin (antibiotic)s[CFS] 0.179
๐Ÿ•ฎ  ceftazidime (antibiotic)s 0.176
peppermint (spice, oil) 0.173
๐Ÿ•ฎ  metronidazole (antibiotic)s[CFS] 0.172
Curcumin 0.17  ๐Ÿ“
๐Ÿ•ฎ  erythromycin (antibiotic)s[CFS] 0.165
bacillus subtilis (probiotics) 0.157  ๐Ÿ“
coriander oil 0.151
rosmarinus officinalis,rosemary 0.151
intesti-bacteriophage 0.151
๐Ÿ•ฎ  lactobacillus rhamnosus gg (probiotics) 0.142  ๐Ÿ“
chitosan,(sugar) 0.137  ๐Ÿ“
propyl gallate(corn) 0.136
Bismuth Salts 0.129
๐Ÿ•ฎ  moxifloxacin (antibiotic) 0.128
๐Ÿ•ฎ  lactobacillus kefiri (NOT KEFIR) 0.122
quercetin 0.12  ๐Ÿ“
๐Ÿ•ฎ  doxycycline (antibiotic)s[CFS] 0.118
tannic acid 0.118
lemongrass oil 0.114
luteolin (flavonoid) 0.114  ๐Ÿ“
๐Ÿ•ฎ  nitrofurantoin (antibiotic) 0.114
florfenicol 0.114

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
aspartame (sweetner) 0.39
proton-pump inhibitors (prescription) 0.388
Slippery Elm 0.345
๐Ÿ•ฎ  berberine 0.332
blueberry 0.28
arabinogalactan (prebiotic) 0.22
๐Ÿ•ฎ  Reduce choline (Beef, Chicken Eggs) 0.19
resistant starch 0.172
macrolide ((antibiotic)s) 0.169
red wine 0.162
non-starch polysaccharides 0.144
ku ding cha tea 0.143
๐Ÿ•ฎ  high-fat diets 0.139
๐Ÿ•ฎ  Prescript Assist (2018 Formula) 0.132
levan 0.126
๐Ÿ•ฎ  Pulses 0.126
๐Ÿ•ฎ  metformin (prescription) 0.118
๐Ÿ•ฎ  inulin (prebiotic) 0.111
apple 0.102
fasting 0.102
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.099
resistant maltodextrin 0.095
symbioflor 2 e.coli probiotics 0.094
penicillin-moxalactam (antibiotic)s 0.092
xylan (prebiotic) 0.088
๐Ÿ•ฎ  bifidobacterium bifidum (probiotics) 0.084
๐Ÿ•ฎ  Bofutsushosan 0.083
l-citrulline 0.083
green-lipped mussel 0.081
๐Ÿ•ฎ  Pistachio 0.079
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.078
๐Ÿ•ฎ  Nicotine, Nicotine Patch 0.076
๐Ÿ•ฎ  pectin 0.074
oats 0.073
red alga Laurencia tristicha 0.071
l-proline 0.071
mediterranean diet 0.071
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.069
๐Ÿ•ฎ  ß-glucan 0.066
vegetarians 0.065
๐Ÿ•ฎ  iron 0.065
Guaiacol (polyphenol) 0.063
๐Ÿ•ฎ  Methylene blue 0.063
๐Ÿ•ฎ  galacto-oligosaccharides (prebiotic) 0.063
๐Ÿ•ฎ  saccharomyces boulardii (probiotics) 0.062
raw potato starch 0.062
gluten-free diet 0.061
๐Ÿ•ฎ  chestnut tannins 0.061
sulfonamide (antibiotic)s 0.061
๐Ÿ•ฎ  alcoholic beverages 0.06
rice bran 0.06
carob 0.06
๐Ÿ•ฎ  ibuprofen 0.06
๐Ÿ•ฎ  Rutin 0.058
high resistant starch 0.057
๐Ÿ•ฎ  lactulose 0.057
helminth infection (prescription) 0.056
๐Ÿ•ฎ  partially hydrolysed guar gum (prebiotic) 0.056
saccharin 0.055
cvs maximum strength probiotic 0.053
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 or equivalent EU laws. [34.239.170 ]

Due to AI drones slamming this site, we have added IP blocking on excessive calls. Email us if you get blocked and send this [34.239.170 ]