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]: DePaul University Fatigue Questionnaire : Confusion/disorientation_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  amoxicillin (antibiotic)s[CFS] 0.802
๐Ÿ•ฎ  piperacillin-tazobactam (antibiotic)s 0.75
๐Ÿ•ฎ  ciprofloxacin (antibiotic)s[CFS] 0.702
๐Ÿ•ฎ  gentamicin (antibiotic)s 0.701
๐Ÿ•ฎ  trimethoprim (antibiotic)s 0.679
๐Ÿ•ฎ  cefotaxime sodium salt (antibiotic) 0.658
๐Ÿ•ฎ  meropenem (antibiotic)s 0.653
๐Ÿ•ฎ  amikacin (antibiotic)s 0.641
๐Ÿ•ฎ  clindamycin (antibiotic)s[CFS] 0.594
๐Ÿ•ฎ  benzylpenicillin sodium (antibiotic) 0.588
๐Ÿ•ฎ  chloramphenicol (antibiotic)s 0.579
๐Ÿ•ฎ  azithromycin,(antibiotic)s[CFS] 0.575  ๐Ÿ“
๐Ÿ•ฎ  ampicillin (antibiotic)s[CFS] 0.537
๐Ÿ•ฎ  metronidazole (antibiotic)s[CFS] 0.508
๐Ÿ•ฎ  lactobacillus reuteri (probiotics) 0.46  ๐Ÿ“
clostridium butyricum (probiotics),Miya,Miyarisan 0.435  ๐Ÿ“
๐Ÿ•ฎ  norfloxacin (antibiotic)s 0.426
๐Ÿ•ฎ  erythromycin (antibiotic)s[CFS] 0.419
๐Ÿ•ฎ  ofloxacin (antibiotic)s 0.392
๐Ÿ•ฎ  ceftazidime (antibiotic)s 0.385
๐Ÿ•ฎ  tobramycin (antibiotic)s 0.369
๐Ÿ•ฎ  rifaximin (antibiotic)s 0.367  ๐Ÿ“
๐Ÿ•ฎ  clarithromycin (antibiotic)s[CFS] 0.366
foeniculum vulgare,fennel 0.351
๐Ÿ•ฎ  sparfloxacin (antibiotic) 0.35
florfenicol 0.349
๐Ÿ•ฎ  nitrofurantoin (antibiotic) 0.345
๐Ÿ•ฎ  ornidazole (antibiotic)s 0.343
๐Ÿ•ฎ  moxifloxacin (antibiotic) 0.339
fluoroquinolone (antibiotic)s 0.337
๐Ÿ•ฎ  linezolid (antibiotic) 0.33
๐Ÿ•ฎ  rifampicin (antibiotic)s 0.329
๐Ÿ•ฎ  chlorhexidine 0.326
triphala 0.321  ๐Ÿ“
Demeclocycline hydrochloride 0.311
๐Ÿ•ฎ  hexachlorophene 0.311
๐Ÿ•ฎ  josamycin (antibiotic) 0.311
oxytetracycline dihydrate (antibiotic) 0.311
Methacycline hydrochloride 0.311
๐Ÿ•ฎ  lincomycin (antibiotic)s 0.311
Chlortetracycline hydrochloride 0.311
๐Ÿ•ฎ  carbadox,(prescription) 0.311
๐Ÿ•ฎ  roxithromycin (antibiotic)s 0.311
๐Ÿ•ฎ  furazolidone (antibiotic) 0.311
niridazole,(prescription) 0.311
๐Ÿ•ฎ  rifapentine (antibiotic) 0.311
Rifabutin 0.311
๐Ÿ•ฎ  tylosin,(prescription) 0.311
Meclocycline sulfosalicylate 0.311
๐Ÿ•ฎ  thiamphenicol (antibiotic) 0.311
๐Ÿ•ฎ  flucloxacillin sodium (antibiotic) 0.311
furaltadone hydrochloride,(prescription) 0.311
๐Ÿ•ฎ  cefoperazone dihydrate (antibiotic) 0.311
Tosufloxacin hydrochloride 0.311
๐Ÿ•ฎ  tinidazole (antibiotic) 0.311
๐Ÿ•ฎ  niclosamide,(prescription) 0.311
๐Ÿ•ฎ  dirithromycin (antibiotic) 0.311
nifurtimox,(prescription) 0.311
๐Ÿ•ฎ  secnidazole,(prescription) 0.311

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
๐Ÿ•ฎ  metformin (prescription) 0.683
๐Ÿ•ฎ  inulin (prebiotic) 0.586
๐Ÿ•ฎ  berberine 0.577
blueberry 0.531
Slippery Elm 0.525
arabinogalactan (prebiotic) 0.41
aspartame (sweetner) 0.376
red wine 0.371
๐Ÿ•ฎ  fructo-oligosaccharides (prebiotic) 0.352
non-starch polysaccharides 0.349
wheat bran 0.336
๐Ÿ•ฎ  Reduce choline (Beef, Chicken Eggs) 0.333
fasting 0.317
๐Ÿ•ฎ  bifidobacterium animalis lactis (probiotics) 0.294
๐Ÿ•ฎ  Pulses 0.288
navy bean 0.279
macrolide ((antibiotic)s) 0.241
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.233
proton-pump inhibitors (prescription) 0.209
๐Ÿ•ฎ  high-fat diets 0.209
resistant starch 0.202
๐Ÿ•ฎ  Olive Oil 0.196
wheat 0.189
penicillin-moxalactam (antibiotic)s 0.189
cranberry bean flour 0.186
low protein diet 0.185
๐Ÿ•ฎ  saccharomyces boulardii (probiotics) 0.182
levan 0.175
symbioflor 2 e.coli probiotics 0.173
Ferric citrate 0.171
vitamin a 0.167
ketogenic diet 0.164
๐Ÿ•ฎ  Bofutsushosan 0.163
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.159
๐Ÿ•ฎ  galacto-oligosaccharides (prebiotic) 0.159
l-citrulline 0.157
l-proline 0.155
rhubarb 0.155
rice bran 0.148
bile (acid/salts) 0.147
๐Ÿ•ฎ  Akkermansia muciniphila (probiotic) 0.144
๐Ÿ•ฎ  grapes 0.144
sodium butyrate 0.142
๐Ÿ•ฎ  lactulose 0.141
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.141
๐Ÿ•ฎ  Astragalus 0.14
Conjugated Linoleic Acid 0.135
grape seed extract 0.135
mediterranean diet 0.133
resistant maltodextrin 0.132
ku ding cha tea 0.131
๐Ÿ•ฎ  Rutin 0.13
๐Ÿ•ฎ  Prescript Assist (2018 Formula) 0.127
๐Ÿ•ฎ  Methylene blue 0.126
helminth infection (prescription) 0.124
๐Ÿ•ฎ  Shen Ling Bai Zhu San 0.122
bacillus coagulans (probiotics) 0.122
pomegranate 0.12
๐Ÿ•ฎ  black raspberries 0.12
fibre-rich macrobiotic ma-pi 2 diet 0.119
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 ]