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: Blurred or tunnel vision after standing_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  vancomycin (antibiotic)[CFS] 1
๐Ÿ•ฎ  gentamicin (antibiotic)s 0.924
๐Ÿ•ฎ  piperacillin-tazobactam (antibiotic)s 0.917
๐Ÿ•ฎ  ciprofloxacin (antibiotic)s[CFS] 0.779
๐Ÿ•ฎ  thyme (thymol, thyme oil) 0.774
๐Ÿ•ฎ  benzylpenicillin sodium (antibiotic) 0.767
๐Ÿ•ฎ  amoxicillin (antibiotic)s[CFS] 0.707
๐Ÿ•ฎ  imipenem (antibiotic)s 0.696
๐Ÿ•ฎ  meropenem (antibiotic)s 0.646
cinnamon (oil. spice) 0.627  ๐Ÿ“
๐Ÿ•ฎ  tetracycline (antibiotic)s 0.607
๐Ÿ•ฎ  ampicillin (antibiotic)s[CFS] 0.599
syzygium aromaticum (clove) 0.582
fluoroquinolone (antibiotic)s 0.507
๐Ÿ•ฎ  chloramphenicol (antibiotic)s 0.486
๐Ÿ•ฎ  minocycline (antibiotic)s[CFS] 0.48
neem 0.466  ๐Ÿ“
๐Ÿ•ฎ  azithromycin,(antibiotic)s[CFS] 0.465  ๐Ÿ“
๐Ÿ•ฎ  clindamycin (antibiotic)s[CFS] 0.449
foeniculum vulgare,fennel 0.444
๐Ÿ•ฎ  trimethoprim (antibiotic)s 0.412
๐Ÿ•ฎ  tigecycline (antibiotic)s 0.405
salvia officinalis (sage) 0.402
green tea 0.354
๐Ÿ•ฎ  erythromycin (antibiotic)s[CFS] 0.351
oregano (origanum vulgare, oil) | 0.341
sucralose 0.337  ๐Ÿ“
๐Ÿ•ฎ  amikacin (antibiotic)s 0.327
๐Ÿ•ฎ  doxycycline (antibiotic)s[CFS] 0.326
๐Ÿ•ฎ  tobramycin (antibiotic)s 0.325
๐Ÿ•ฎ  ceftriaxone (antibiotic)s 0.324
trachyspermum ammi, Ajwain 0.323
triphala 0.304  ๐Ÿ“
Curcumin 0.301  ๐Ÿ“
saccharin 0.3  ๐Ÿ“
๐Ÿ•ฎ  cefotaxime sodium salt (antibiotic) 0.284
๐Ÿ•ฎ  ofloxacin (antibiotic)s 0.282
eucalyptus globulus,Tasmanian blue gum 0.278
coleus forskohlii 0.278
larrea tridentata( creosote bush, greasewood) 0.278
olea europaea,olive leaf 0.256  ๐Ÿ“
momordia charantia(bitter melon, karela, balsam pear, or bitter gourd) 0.254
lemongrass oil 0.253
๐Ÿ•ฎ  berberine 0.252  ๐Ÿ“
nigella sativa seed (black cumin) 0.25  ๐Ÿ“
rosa rugosa 0.248
rosmarinus officinalis,rosemary 0.243
๐Ÿ•ฎ  clarithromycin (antibiotic)s[CFS] 0.243
๐Ÿ•ฎ  rifampicin (antibiotic)s 0.237
tea 0.237
bacopa monnieri 0.236  ๐Ÿ“
galla chinensis (herb) 0.233
coptis chinensis, Chinese goldthread 0.233
๐Ÿ•ฎ  nitrofurantoin (antibiotic) 0.231
peppermint (spice, oil) 0.218
aloe vera 0.214
peganum harmala (rue) 0.207
carbapenem (antibiotic)s 0.207
๐Ÿ•ฎ  glycerol monolaurate (Monolaurin) 0.196
gluten-free diet 0.195

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
๐Ÿ•ฎ  inulin (prebiotic) 0.796
๐Ÿ•ฎ  fructo-oligosaccharides (prebiotic) 0.695
๐Ÿ•ฎ  resveratrol (grape seed/polyphenols/red wine) 0.652
bacillus subtilis (probiotics) 0.602
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.565
arabinogalactan (prebiotic) 0.531
resistant starch 0.499
apple 0.463
proton-pump inhibitors (prescription) 0.453
๐Ÿ•ฎ  lactulose 0.428
Lactobacillus Johnsonii (probiotic) 0.413
wheat bran 0.407
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.396
๐Ÿ•ฎ  metformin (prescription) 0.383
raffinose(sugar beet) 0.381
navy bean 0.367
Slippery Elm 0.351
xylan (prebiotic) 0.338
mediterranean diet 0.335
pea (fiber, protein) 0.333
soy 0.327
๐Ÿ•ฎ  partially hydrolysed guar gum (prebiotic) 0.318
๐Ÿ•ฎ  Astragalus 0.296
๐Ÿ•ฎ  pectin 0.291
๐Ÿ•ฎ  Pulses 0.286
barley 0.284
๐Ÿ•ฎ  lactobacillus reuteri (probiotics) 0.281
fat 0.274
non-starch polysaccharides 0.267
๐Ÿ•ฎ  Burdock Root 0.264
๐Ÿ•ฎ  gum arabic (prebiotic) 0.263
Conjugated Linoleic Acid 0.26
ketogenic diet 0.256
fasting 0.252
๐Ÿ•ฎ  Ginseng 0.237
red wine 0.237
almonds/ almond skins 0.235
sesame cake/meal 0.232
๐Ÿ•ฎ  galacto-oligosaccharides (prebiotic) 0.231
jerusalem artichoke (prebiotic) 0.231
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.209
fish oil 0.205
๐Ÿ•ฎ  bifidobacterium lactis bb12 (probiotics) 0.203
๐Ÿ•ฎ  banana 0.201
๐Ÿ•ฎ  spirulina(cyanobacteria) 0.193
๐Ÿ•ฎ  Dangshen 0.192
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.186
blueberry 0.181
๐Ÿ•ฎ  noni 0.18
barley,oat 0.177
xylooligosaccharide (prebiotic) 0.172
high sugar diet 0.168
laminaria digitata,oarweed - seaweed 0.164
high red meat 0.164
๐Ÿ•ฎ  lactobacillus plantarum,xylooligosaccharides,(prebiotic) (probiotics) 0.161
๐Ÿ•ฎ  quebracho 0.16
๐Ÿ•ฎ  black raspberries 0.158
๐Ÿ•ฎ  Pistachio 0.157
๐Ÿ•ฎ  Prescript Assist (2018 Formula) 0.153
magnesium 0.153
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. [44.222.64 ]

Due to AI drones slamming this site, we have added IP blocking on excessive calls. Email us if you get blocked and send this [44.222.64 ]