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: Onset: less than 02 years since onset_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

Modifier (Alt Names on Hover) Confidence ๐Ÿ“น
Vitamin B9,folic acid 0.899  ๐Ÿ“
chitosan,(sugar) 0.73  ๐Ÿ“
๐Ÿ•ฎ  carbamazepine,(prescription) 0.722
๐Ÿ•ฎ  hyoscyamine (l),(prescription) 0.71
๐Ÿ•ฎ  reserpine,(prescription) 0.71
๐Ÿ•ฎ  Vitamin B-12 0.71  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.709  ๐Ÿ“
๐Ÿ•ฎ  loperamide hydrochloride,(prescription) 0.7
๐Ÿ•ฎ  Hesperidin (polyphenol) 0.678  ๐Ÿ“
๐Ÿ•ฎ  atorvastatin (prescription) 0.675  ๐Ÿ“
Caffeine 0.668
flurandrenolide,(prescription) 0.666
(+;-)-octopamine hydrochloride,(prescription) 0.666
๐Ÿ•ฎ  probenecid,(prescription) 0.666
๐Ÿ•ฎ  idebenone,(prescription) 0.666
๐Ÿ•ฎ  proguanil hydrochloride,(prescription) 0.666
indomethacin,(prescription) 0.666
๐Ÿ•ฎ  nabumetone,(prescription) 0.666
sulfadoxine,(prescription) 0.666
๐Ÿ•ฎ  vardenafil,(prescription) 0.666
๐Ÿ•ฎ  tenoxicam,(prescription) 0.666
tetraethylenepentamine pentahydrochloride non-drug 0.666
๐Ÿ•ฎ  pizotifen malate,(prescription) 0.666
๐Ÿ•ฎ  stavudine,(prescription) 0.666
๐Ÿ•ฎ  antazoline hydrochloride,(prescription) 0.666
๐Ÿ•ฎ  dihydrostreptomycin sulfate (antibiotic) 0.666
clavulanate potassium salt (antibiotic) 0.666
๐Ÿ•ฎ  sulfapyridine (antibiotic) 0.666
dizocilpine maleate,(prescription) 0.666
mianserine hydrochloride,(prescription) 0.666
๐Ÿ•ฎ  artemisinin,(prescription) 0.666
๐Ÿ•ฎ  imiquimod,(prescription) 0.666
๐Ÿ•ฎ  glafenine hydrochloride,(prescription) 0.666
๐Ÿ•ฎ  naphazoline hydrochloride,(prescription) 0.666
๐Ÿ•ฎ  thiethylperazine dimalate,(prescription) 0.666
๐Ÿ•ฎ  formestane,(prescription) 0.666
๐Ÿ•ฎ  lofexidine,(prescription) 0.666
methylprednisolone; 6-alpha,(prescription) 0.666
๐Ÿ•ฎ  clopamide,(prescription) 0.666
๐Ÿ•ฎ  albendazole,(prescription) 0.666
๐Ÿ•ฎ  chloroquine diphosphate,(prescription)[CFS] 0.666
๐Ÿ•ฎ  valacyclovir hydrochloride,(prescription) 0.666
๐Ÿ•ฎ  piretanide,(prescription) 0.666
norethynodrel,(prescription) 0.666
๐Ÿ•ฎ  gabapentin,(prescription) 0.666
๐Ÿ•ฎ  nadide non-drug 0.666
cyclosporin a,(prescription) 0.666
๐Ÿ•ฎ  ropinirole hcl,(prescription) 0.666
๐Ÿ•ฎ  pergolide mesylate,(prescription) 0.666
๐Ÿ•ฎ  bisoprolol fumarate,(prescription) 0.666
๐Ÿ•ฎ  clebopride maleate,(prescription) 0.666
๐Ÿ•ฎ  progesterone,(prescription) 0.666
๐Ÿ•ฎ  terazosin hydrochloride,(prescription) 0.666
equilin,(prescription) 0.666
๐Ÿ•ฎ  cyproheptadine hydrochloride,(prescription) 0.666
๐Ÿ•ฎ  mirtazapine,(prescription) 0.666
mefexamide hydrochloride,(prescription) 0.666
๐Ÿ•ฎ  proglumide,(prescription) 0.666
๐Ÿ•ฎ  bupivacaine hydrochloride,(prescription) 0.666
๐Ÿ•ฎ  anastrozole,(prescription) 0.666

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
๐Ÿ•ฎ  Reduce choline (Beef, Chicken Eggs) 1
arabinogalactan (prebiotic) 0.861
blueberry 0.826
๐Ÿ•ฎ  inulin (prebiotic) 0.67
resistant starch 0.626
Slippery Elm 0.625
red wine 0.618
levan 0.536
resistant maltodextrin 0.499
high fiber diet 0.485
dietary fiber 0.478
๐Ÿ•ฎ  iron 0.478
refined wheat breads 0.458
l-proline 0.457
๐Ÿ•ฎ  lactobacillus acidophilus (probiotics) 0.442
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.44
plantago asiatica l. 0.436
non-starch polysaccharides 0.432
๐Ÿ•ฎ  ß-glucan 0.383
genistein 0.382
๐Ÿ•ฎ  black raspberries 0.377
green-lipped mussel 0.374
๐Ÿ•ฎ  cruciferous vegetables (broccoli cabbage) 0.364
dietary phytoestrogens (isoflavones) 0.358
๐Ÿ•ฎ  lauric acid(fatty acid in coconut oil,in palm kernel oil,) 0.354
๐Ÿ•ฎ  high-fat diets 0.34
chemotherapy (prescription) 0.34
germinated barley food-stuff 0.339
pomegranate 0.332
vegetarians 0.32
proton-pump inhibitors (prescription) 0.317
๐Ÿ•ฎ  glucose (sugar) 0.31
bacillus,lactobacillus,streptococcus,saccharomyces probiotic 0.295
barley 0.292
๐Ÿ•ฎ  Prescript Assist (2018 Formula) 0.29
๐Ÿ•ฎ  Pulses 0.276
fasting 0.261
๐Ÿ•ฎ  Bofutsushosan 0.256
๐Ÿ•ฎ  pectin 0.255
PreforPro 0.247
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.242
๐Ÿ•ฎ  rifaximin (antibiotic)s 0.241
walnuts 0.24
๐Ÿ•ฎ  alcoholic beverages 0.236
polygonatum kingianum(Orange Flower Solomon's Seal.) 0.219
barley,oat 0.219
๐Ÿ•ฎ  tetracycline (antibiotic)s 0.212
penicillin-moxalactam (antibiotic)s 0.2
Dendrobium officinale 0.195
๐Ÿ•ฎ  Goji (berry,juice) 0.194
๐Ÿ•ฎ  Nicotine, Nicotine Patch 0.183
macrolide ((antibiotic)s) 0.18
๐Ÿ•ฎ  vancomycin (antibiotic)[CFS] 0.175
Grapefruit seed extract 0.174
saccharin 0.172
๐Ÿ•ฎ  Bile Acid Sequestrant 0.171
extra virgin olive oil 0.17
enriched butter diet 0.17
๐Ÿ•ฎ  chestnut tannins 0.167
๐Ÿ•ฎ  quebracho 0.167
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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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.
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