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: DePaul University Fatigue Questionnaire : Allergies_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 0.757
๐Ÿ•ฎ  hyoscyamine (l),(prescription) 0.702
๐Ÿ•ฎ  acarbose,(prescription) 0.632
๐Ÿ•ฎ  Hesperidin (polyphenol) 0.604  ๐Ÿ“
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.592  ๐Ÿ“
Caffeine 0.579
๐Ÿ•ฎ  loperamide hydrochloride,(prescription) 0.573
๐Ÿ•ฎ  Vitamin B-12 0.566  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.565  ๐Ÿ“
๐Ÿ•ฎ  risperidone,(prescription) 0.55
๐Ÿ•ฎ  atorvastatin (prescription) 0.534  ๐Ÿ“
Vitamin C (ascorbic acid) 0.519  ๐Ÿ“
๐Ÿ•ฎ  itraconazole,(prescription) 0.518
๐Ÿ•ฎ  sulfamethoxazole (antibiotic) 0.518
๐Ÿ•ฎ  sulfamethoxypyridazine (antibiotic) 0.515
๐Ÿ•ฎ  sulfamonomethoxine,(prescription) 0.515
๐Ÿ•ฎ  sulfanilamide (antibiotic) 0.515
๐Ÿ•ฎ  sulfaphenazole (antibiotic) 0.515
๐Ÿ•ฎ  sulfapyridine (antibiotic) 0.515
๐Ÿ•ฎ  sulfaquinoxaline sodium salt,(prescription) 0.515
๐Ÿ•ฎ  betaxolol hydrochloride,(prescription) 0.515
betazole hydrochloride,(prescription) 0.515
bethanechol chloride,(prescription) 0.515
๐Ÿ•ฎ  bezafibrate,(prescription) 0.515
๐Ÿ•ฎ  bicalutamide,(prescription) 0.515
๐Ÿ•ฎ  procaine hydrochloride,(prescription) 0.515
๐Ÿ•ฎ  procarbazine hydrochloride,(prescription) 0.515
๐Ÿ•ฎ  procyclidine hydrochloride,(prescription) 0.515
๐Ÿ•ฎ  progesterone,(prescription) 0.515
๐Ÿ•ฎ  proglumide,(prescription) 0.515
๐Ÿ•ฎ  proguanil hydrochloride,(prescription) 0.515
promazine hydrochloride,(prescription) 0.515
๐Ÿ•ฎ  idebenone,(prescription) 0.515
๐Ÿ•ฎ  ifenprodil tartrate,(prescription) 0.515
๐Ÿ•ฎ  biperiden hydrochloride,(prescription) 0.515
๐Ÿ•ฎ  olopatadine hydrochloride,(prescription) 0.515
๐Ÿ•ฎ  ondansetron hydrochloride,(prescription) 0.515
bretylium tosylate,(prescription) 0.515
๐Ÿ•ฎ  brinzolamide,(prescription) 0.515
๐Ÿ•ฎ  bromhexine hydrochloride,(prescription) 0.515
bromocryptine mesylate,(prescription) 0.515
๐Ÿ•ฎ  bromopride,(prescription) 0.515
๐Ÿ•ฎ  bromperidol,(prescription) 0.515
๐Ÿ•ฎ  brompheniramine maleate,(prescription) 0.515
๐Ÿ•ฎ  bisacodyl,(prescription) 0.515
๐Ÿ•ฎ  bisoprolol fumarate,(prescription) 0.515
bucladesine sodium salt,(prescription) 0.515
๐Ÿ•ฎ  repaglinide,(prescription) 0.515
๐Ÿ•ฎ  reserpine,(prescription) 0.515
๐Ÿ•ฎ  buflomedil hydrochloride,(prescription) 0.515
๐Ÿ•ฎ  bupivacaine hydrochloride,(prescription) 0.515
๐Ÿ•ฎ  bupropion hydrochloride,(prescription) 0.515
๐Ÿ•ฎ  buspirone hydrochloride,(prescription) 0.515
๐Ÿ•ฎ  busulfan,(prescription) 0.515
butacaine,(prescription) 0.515
๐Ÿ•ฎ  butalbital,(prescription) 0.515
butamben,(prescription) 0.515
๐Ÿ•ฎ  butenafine hydrochloride,(prescription) 0.515
retinoic acid,(Vitamin A derivative) 0.515
๐Ÿ•ฎ  budesonide,(prescription) 0.515

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
Slippery Elm 1
๐Ÿ•ฎ  inulin (prebiotic) 0.753
๐Ÿ•ฎ  berberine 0.583
arabinogalactan (prebiotic) 0.568
red wine 0.515
non-starch polysaccharides 0.352
xylan (prebiotic) 0.338
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.333
๐Ÿ•ฎ  Pulses 0.323
resistant starch 0.319
๐Ÿ•ฎ  saccharomyces boulardii (probiotics) 0.311
triphala 0.295
proton-pump inhibitors (prescription) 0.293
wheat bran 0.293
๐Ÿ•ฎ  lactulose 0.265
saccharin 0.254
๐Ÿ•ฎ  zinc 0.253
macrolide ((antibiotic)s) 0.244
l-citrulline 0.24
gallic acid (food additive) 0.229
resistant maltodextrin 0.217
mediterranean diet 0.207
๐Ÿ•ฎ  galacto-oligosaccharides (prebiotic) 0.2
apple 0.199
๐Ÿ•ฎ  pectin 0.194
๐Ÿ•ฎ  vitamin d 0.193
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.192
ku ding cha tea 0.192
fasting 0.179
gynostemma pentaphyllum (Jiaogulan) 0.179
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.17
bile (acid/salts) 0.17
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.163
levan 0.154
barley,oat 0.151
cholic acid (bile acid) 0.145
high red meat 0.142
hypocaloric hyperproteic diet 0.139
pea (fiber, protein) 0.137
low-fat diets 0.133
ketogenic diet 0.13
vsl#3 (probiotics) 0.128
raffinose(sugar beet) 0.122
plantago asiatica l. 0.116
animal-based diet 0.115
palm kernel meal 0.115
๐Ÿ•ฎ  fructo-oligosaccharides (prebiotic) 0.114
partially hydrolysed guar gum,fructo-oligosaccharides (prebiotic) 0.113
l-proline 0.113
fish oil 0.112
green-lipped mussel 0.107
grape seed extract 0.106
almonds/ almond skins 0.106
๐Ÿ•ฎ  isepamicin (antibiotic)s 0.106
lividomycin (antibiotic)s 0.106
๐Ÿ•ฎ  bifidobacterium longum (probiotics) 0.105
vegetarians 0.104
amaranth 0.103
red alga Laurencia tristicha 0.103
symbioflor 2 e.coli probiotics 0.102
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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