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 Symptom Studies [2024]: General: Heavy feeling in arms and legs_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 0.95
๐Ÿ•ฎ  amoxicillin (antibiotic)s[CFS] 0.947
๐Ÿ•ฎ  piperacillin-tazobactam (antibiotic)s 0.928
๐Ÿ•ฎ  benzylpenicillin sodium (antibiotic) 0.852
๐Ÿ•ฎ  vancomycin (antibiotic)[CFS] 0.785
๐Ÿ•ฎ  clindamycin (antibiotic)s[CFS] 0.76
๐Ÿ•ฎ  meropenem (antibiotic)s 0.7
๐Ÿ•ฎ  doxycycline (antibiotic)s[CFS] 0.684
๐Ÿ•ฎ  metronidazole (antibiotic)s[CFS] 0.67
๐Ÿ•ฎ  ampicillin (antibiotic)s[CFS] 0.631
๐Ÿ•ฎ  chloramphenicol (antibiotic)s 0.613
๐Ÿ•ฎ  ciprofloxacin (antibiotic)s[CFS] 0.604
๐Ÿ•ฎ  erythromycin (antibiotic)s[CFS] 0.566
๐Ÿ•ฎ  tobramycin (antibiotic)s 0.564
๐Ÿ•ฎ  gentamicin (antibiotic)s 0.561
๐Ÿ•ฎ  clarithromycin (antibiotic)s[CFS] 0.497
๐Ÿ•ฎ  rifaximin (antibiotic)s 0.489  ๐Ÿ“
๐Ÿ•ฎ  azithromycin,(antibiotic)s[CFS] 0.476  ๐Ÿ“
๐Ÿ•ฎ  cefotaxime sodium salt (antibiotic) 0.469
florfenicol 0.436
๐Ÿ•ฎ  moxifloxacin (antibiotic) 0.409
๐Ÿ•ฎ  spiramycin (antibiotic) 0.398
๐Ÿ•ฎ  minocycline (antibiotic)s[CFS] 0.397
oxytetracycline dihydrate (antibiotic) 0.382
๐Ÿ•ฎ  chlorhexidine 0.37
๐Ÿ•ฎ  rifampicin (antibiotic)s 0.365
๐Ÿ•ฎ  thyme (thymol, thyme oil) 0.362
๐Ÿ•ฎ  sparfloxacin (antibiotic) 0.358
Methacycline hydrochloride 0.357
Chlortetracycline hydrochloride 0.357
๐Ÿ•ฎ  josamycin (antibiotic) 0.357
๐Ÿ•ฎ  roxithromycin (antibiotic)s 0.357
Demeclocycline hydrochloride 0.357
alexidine dihydrochloride 0.357
๐Ÿ•ฎ  rifapentine (antibiotic) 0.357
thiostrepton,(prescription) 0.357
๐Ÿ•ฎ  hexachlorophene 0.357
Rifabutin 0.357
niridazole,(prescription) 0.357
๐Ÿ•ฎ  furazolidone (antibiotic) 0.357
๐Ÿ•ฎ  niclosamide,(prescription) 0.357
Meclocycline sulfosalicylate 0.357
๐Ÿ•ฎ  thiamphenicol (antibiotic) 0.357
๐Ÿ•ฎ  tylosin,(prescription) 0.357
๐Ÿ•ฎ  carbadox,(prescription) 0.357
Tosufloxacin hydrochloride 0.357
furaltadone hydrochloride,(prescription) 0.357
๐Ÿ•ฎ  dirithromycin (antibiotic) 0.356
๐Ÿ•ฎ  linezolid (antibiotic) 0.356
๐Ÿ•ฎ  ticarcillin sodium (antibiotic) 0.356
๐Ÿ•ฎ  cefazolin sodium salt (antibiotic) 0.355
๐Ÿ•ฎ  auranofin,(prescription) 0.354
๐Ÿ•ฎ  cefoperazone dihydrate (antibiotic) 0.354
๐Ÿ•ฎ  garlic (allium sativum) 0.353  ๐Ÿ“
๐Ÿ•ฎ  trimethoprim (antibiotic)s 0.352
๐Ÿ•ฎ  monensin sodium salt,(prescription) 0.352
๐Ÿ•ฎ  novobiocin sodium salt,(prescription) 0.352
๐Ÿ•ฎ  troleandomycin (antibiotic) 0.351
benzathine benzylpenicillin (antibiotic) 0.349
๐Ÿ•ฎ  diacerein,(prescription) 0.349

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
Slippery Elm 1
๐Ÿ•ฎ  berberine 0.945
๐Ÿ•ฎ  metformin (prescription) 0.893
๐Ÿ•ฎ  inulin (prebiotic) 0.883
arabinogalactan (prebiotic) 0.693
red wine 0.516
fasting 0.48
๐Ÿ•ฎ  fructo-oligosaccharides (prebiotic) 0.456
๐Ÿ•ฎ  Bofutsushosan 0.447
๐Ÿ•ฎ  saccharomyces boulardii (probiotics) 0.432
ketogenic diet 0.387
๐Ÿ•ฎ  lactulose 0.384
cranberry bean flour 0.381
apple 0.375
wheat 0.369
barley 0.343
non-starch polysaccharides 0.333
chemotherapy (prescription) 0.332
pomegranate 0.322
๐Ÿ•ฎ  Pulses 0.313
vsl#3 (probiotics) 0.307
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.304
๐Ÿ•ฎ  Astragalus 0.294
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.294
macrolide ((antibiotic)s) 0.294
๐Ÿ•ฎ  lactobacillus rhamnosus gg (probiotics) 0.288
resistant starch 0.278
๐Ÿ•ฎ  Moringa Oleifera 0.274
fish oil 0.273
low-fat diets 0.273
bacillus licheniformis,(probiotics) 0.27
ku ding cha tea 0.267
bacillus subtilis (probiotics) 0.266
wheat bran 0.265
๐Ÿ•ฎ  grapes 0.254
proton-pump inhibitors (prescription) 0.251
๐Ÿ•ฎ  vitamin d 0.241
gallic acid (food additive) 0.236
resistant maltodextrin 0.236
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.235
xylan (prebiotic) 0.234
Vitamin C (ascorbic acid) 0.229
๐Ÿ•ฎ  bifidobacterium longum (probiotics) 0.229
๐Ÿ•ฎ  black raspberries 0.225
๐Ÿ•ฎ  chestnut tannins 0.221
l-citrulline 0.216
๐Ÿ•ฎ  Akkermansia muciniphila (probiotic) 0.215
Conjugated Linoleic Acid 0.206
๐Ÿ•ฎ  quebracho 0.205
walnuts 0.199
rhubarb 0.198
rice bran 0.198
grape seed extract 0.197
๐Ÿ•ฎ  pectin 0.197
bacillus coagulans (probiotics) 0.197
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.196
๐Ÿ•ฎ  lactobacillus acidophilus (probiotics) 0.194
๐Ÿ•ฎ  resveratrol (grape seed/polyphenols/red wine) 0.193
raffinose(sugar beet) 0.192
barley,oat 0.19
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 ]