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:A Priori (from theoretical deduction)
Bacteria Selection:Outside of Range
Filter: From Special Studies V2: Post-exertional malaise: Post-exertional malaise_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

Modifier (Alt Names on Hover) Confidence ๐Ÿ“น
๐Ÿ•ฎ  gentamicin (antibiotic)s 1
๐Ÿ•ฎ  tobramycin (antibiotic)s 0.729
๐Ÿ•ฎ  benzylpenicillin sodium (antibiotic) 0.642
๐Ÿ•ฎ  piperacillin-tazobactam (antibiotic)s 0.611
๐Ÿ•ฎ  hyoscyamine (l),(prescription) 0.596
๐Ÿ•ฎ  dopamine (prescription) 0.544
๐Ÿ•ฎ  streptomycin (antibiotic)s 0.518
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.512  ๐Ÿ“
๐Ÿ•ฎ  meropenem (antibiotic)s 0.502
๐Ÿ•ฎ  risperidone,(prescription) 0.494
๐Ÿ•ฎ  atorvastatin (prescription) 0.48  ๐Ÿ“
๐Ÿ•ฎ  acarbose,(prescription) 0.466
๐Ÿ•ฎ  melatonin supplement 0.466  ๐Ÿ“
๐Ÿ•ฎ  ampicillin (antibiotic)s[CFS] 0.459
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.45  ๐Ÿ“
๐Ÿ•ฎ  Hesperidin (polyphenol) 0.45  ๐Ÿ“
Caffeine 0.443
๐Ÿ•ฎ  imipenem (antibiotic)s 0.438
vitamin B3,niacin 0.436  ๐Ÿ“
๐Ÿ•ฎ  trimethoprim (antibiotic)s 0.432
๐Ÿ•ฎ  amoxicillin (antibiotic)s[CFS] 0.427
๐Ÿ•ฎ  metolazone,(prescription) 0.425
๐Ÿ•ฎ  Vitamin B6,pyridoxine hydrochloride 0.425  ๐Ÿ“
๐Ÿ•ฎ  fluticasone propionate,(prescription) 0.425
fentiazac,(prescription) 0.425
๐Ÿ•ฎ  biperiden hydrochloride,(prescription) 0.425
๐Ÿ•ฎ  benfotiamine,(prescription) 0.425  ๐Ÿ“
flumethasone,(prescription) 0.425
adrenosterone,(prescription) 0.425
๐Ÿ•ฎ  iopromide,(prescription) 0.425
dehydroisoandosterone 3-acetate,(prescription) 0.425
๐Ÿ•ฎ  etilefrine hydrochloride,(prescription) 0.425
flubendazol,(prescription) 0.425
norcyclobenzaprine,(prescription) 0.425
๐Ÿ•ฎ  bromhexine hydrochloride,(prescription) 0.425
etifenin,(prescription) 0.425
๐Ÿ•ฎ  sulfasalazine,(prescription) 0.425
๐Ÿ•ฎ  trimetazidine dihydrochloride,(prescription) 0.425
medrysone,(prescription) 0.425
๐Ÿ•ฎ  diloxanide furoate,(prescription) 0.425
sulfamethazine sodium salt (antibiotic) 0.425
๐Ÿ•ฎ  homatropine hydrobromide (r;s),(prescription) 0.425
gbr 12909 dihydrochloride,(prescription) 0.425
cortisol acetate,(prescription) 0.425
๐Ÿ•ฎ  benperidol,(prescription) 0.425
oxfendazol,(prescription) 0.425
pregnenolone non-drug 0.425
๐Ÿ•ฎ  ketorolac tromethamine,(prescription) 0.425
๐Ÿ•ฎ  nicergoline,(prescription) 0.425
2-chloropyrazine non-drug 0.425
๐Ÿ•ฎ  Vitamin B-12 0.425  ๐Ÿ“
phenacetin,(prescription) 0.425
๐Ÿ•ฎ  aminophylline,(prescription) 0.425
๐Ÿ•ฎ  zidovudine; azt,(prescription) 0.425
๐Ÿ•ฎ  thiocolchicoside,(prescription) 0.425
๐Ÿ•ฎ  oxaprozin,(prescription) 0.425
dicyclomine hydrochloride,(prescription) 0.425
๐Ÿ•ฎ  ivermectin,(prescription) 0.425
๐Ÿ•ฎ  cyproterone acetate,(prescription) 0.425
๐Ÿ•ฎ  ifosfamide,(prescription) 0.425

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
๐Ÿ•ฎ  berberine 0.747
arabinogalactan (prebiotic) 0.637
aspartame (sweetner) 0.535
Slippery Elm 0.52
๐Ÿ•ฎ  Pulses 0.482
red wine 0.473
mediterranean diet 0.465
๐Ÿ•ฎ  saccharomyces boulardii (probiotics) 0.443
proton-pump inhibitors (prescription) 0.419
non-starch polysaccharides 0.342
ketogenic diet 0.335
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.302
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.297
l-citrulline 0.289
๐Ÿ•ฎ  lactulose 0.284
vsl#3 (probiotics) 0.259
xylan (prebiotic) 0.258
๐Ÿ•ฎ  inulin (prebiotic) 0.251
walnuts 0.245
๐Ÿ•ฎ  lactobacillus rhamnosus gg (probiotics) 0.243
๐Ÿ•ฎ  Reduce choline (Beef, Chicken Eggs) 0.238
๐Ÿ•ฎ  epinephrine 0.234
heme 0.228
wheat bran 0.225
๐Ÿ•ฎ  lactobacillus gasseri (probiotics) 0.224
fish oil 0.217
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.214
high carbohydrate diet 0.206
๐Ÿ•ฎ  bifidobacterium longum (probiotics) 0.2
fat 0.197
pea (fiber, protein) 0.194
gynostemma pentaphyllum (Jiaogulan) 0.192
apple 0.191
triphala 0.175
raffinose(sugar beet) 0.174
sarcodiotheca gaudichaudii (red sea weed) 0.163
chondrus crispus,red sea weed 0.163
๐Ÿ•ฎ  Cacao 0.161
l-proline 0.158
๐Ÿ•ฎ  lactobacillus acidophilus (probiotics) 0.149
blueberry 0.147
๐Ÿ•ฎ  glycine 0.145
vegetarians 0.143
barley,oat 0.143
resistant maltodextrin 0.143
low protein diet 0.136
barley 0.136
cranberry bean flour 0.135
palm kernel meal 0.132
amaranth 0.132
macrolide ((antibiotic)s) 0.131
levan 0.127
navy bean 0.123
fasting 0.122
๐Ÿ•ฎ  bifidobacterium adolescentis,(probiotics) 0.122
lincosamide (antibiotic)s 0.119
dairy 0.116
๐Ÿ•ฎ  ß-glucan 0.112
green-lipped mussel 0.108
Conjugated Linoleic Acid 0.104
NOTE: (Heparin, hyaluronan, or chondroitin sulfate) and Lactobacillus probiotics should not be taken concurrently.

All suggestions are computed solely on their predicted microbiome impact. Safety, side-effects etc must be evaluated by your medical professionals before starting. Some items suggests have significant risk of adverse consequences for some people.

Special thanks to David F Morrison and Geert Van Houcke for doing Quality Assurance. Special thanks to Oliver Luk, B.Sc. (Biology) from BiomeSight for spot checking the coding of data from the US National Library of Medicine

This is an Academic site. It generates theoretical models of what may benefit a specific microbiome results.

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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.

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