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: Condition: ME/CFS with IBS_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
๐Ÿ•ฎ  gentamicin (antibiotic)s 1
๐Ÿ•ฎ  piperacillin-tazobactam (antibiotic)s 0.68
๐Ÿ•ฎ  imipenem (antibiotic)s 0.6
๐Ÿ•ฎ  tobramycin (antibiotic)s 0.576
๐Ÿ•ฎ  hyoscyamine (l),(prescription) 0.572
๐Ÿ•ฎ  amikacin (antibiotic)s 0.547
๐Ÿ•ฎ  benzylpenicillin sodium (antibiotic) 0.543
๐Ÿ•ฎ  amoxicillin (antibiotic)s[CFS] 0.521
๐Ÿ•ฎ  meropenem (antibiotic)s 0.494
๐Ÿ•ฎ  Vitamin B-12 0.44  ๐Ÿ“
๐Ÿ•ฎ  Hesperidin (polyphenol) 0.436  ๐Ÿ“
๐Ÿ•ฎ  acarbose,(prescription) 0.422
๐Ÿ•ฎ  risperidone,(prescription) 0.418
๐Ÿ•ฎ  estradiol valerate,(prescription) 0.417
๐Ÿ•ฎ  streptomycin (antibiotic)s 0.414
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.411  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.411  ๐Ÿ“
Caffeine 0.41
๐Ÿ•ฎ  loperamide hydrochloride,(prescription) 0.409
๐Ÿ•ฎ  melatonin supplement 0.409  ๐Ÿ“
๐Ÿ•ฎ  reserpine,(prescription) 0.406
๐Ÿ•ฎ  naproxen,(prescription) 0.406
๐Ÿ•ฎ  garlic (allium sativum) 0.405  ๐Ÿ“
๐Ÿ•ฎ  vancomycin (antibiotic)[CFS] 0.399
๐Ÿ•ฎ  atorvastatin (prescription) 0.397  ๐Ÿ“
๐Ÿ•ฎ  prochlorperazine dimaleate,(prescription) 0.396
๐Ÿ•ฎ  tiabendazole,(prescription) 0.396
๐Ÿ•ฎ  carbachol,(prescription) 0.396
๐Ÿ•ฎ  procarbazine hydrochloride,(prescription) 0.396
bephenium hydroxynaphthoate,(prescription) 0.396
๐Ÿ•ฎ  oxymetazoline hydrochloride,(prescription) 0.396
Theobromine (in food) 0.396
torsemide,(prescription) 0.396
debrisoquin sulfate,(prescription) 0.396
๐Ÿ•ฎ  papaverine hydrochloride,(prescription) 0.396
๐Ÿ•ฎ  desloratadine,(prescription) 0.396
๐Ÿ•ฎ  amifostine,(prescription) 0.396
๐Ÿ•ฎ  ioversol,(prescription) 0.396
meclofenamic acid sodium salt monohydrate,(prescription) 0.396
eburnamonine (-),(prescription) 0.396
tomoxetine hydrochloride,(prescription) 0.396
butylscopolammonium (n-) bromide,(prescription) 0.396
๐Ÿ•ฎ  carisoprodol,(prescription) 0.396
iproniazide phosphate,(prescription) 0.396
๐Ÿ•ฎ  meloxicam,(prescription) 0.396
fosfosal,(prescription) 0.396
๐Ÿ•ฎ  nadolol,(prescription) 0.396
๐Ÿ•ฎ  bemegride,(prescription) 0.396
๐Ÿ•ฎ  tiletamine hydrochloride,(prescription) 0.396
๐Ÿ•ฎ  isotretinoin,(prescription) 0.396
atracurium besylate,(prescription) 0.396
๐Ÿ•ฎ  iodixanol,(prescription) 0.396
urosiol,(prescription) 0.396
ioxaglic acid,(prescription) 0.396
๐Ÿ•ฎ  acitretin,(prescription) 0.396
๐Ÿ•ฎ  oxandrolone,(prescription) 0.396
fipexide hydrochloride,(prescription) 0.396
๐Ÿ•ฎ  glimepiride,(prescription) 0.396
๐Ÿ•ฎ  argatroban,(prescription) 0.396
๐Ÿ•ฎ  dimenhydrinate,(prescription) 0.396

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
Slippery Elm 0.512
proton-pump inhibitors (prescription) 0.407
arabinogalactan (prebiotic) 0.392
aspartame (sweetner) 0.381
๐Ÿ•ฎ  Reduce choline (Beef, Chicken Eggs) 0.311
๐Ÿ•ฎ  inulin (prebiotic) 0.296
๐Ÿ•ฎ  lactulose 0.293
๐Ÿ•ฎ  berberine 0.265
vsl#3 (probiotics) 0.234
raffinose(sugar beet) 0.23
red wine 0.22
macrolide ((antibiotic)s) 0.217
๐Ÿ•ฎ  saccharomyces boulardii (probiotics) 0.212
๐Ÿ•ฎ  zinc 0.204
gynostemma pentaphyllum (Jiaogulan) 0.183
non-starch polysaccharides 0.18
green-lipped mussel 0.177
ku ding cha tea 0.174
barley,oat 0.17
๐Ÿ•ฎ  Pulses 0.17
apple 0.169
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.168
blueberry 0.163
levan 0.156
resistant starch 0.145
resistant maltodextrin 0.14
lividomycin (antibiotic)s 0.13
๐Ÿ•ฎ  isepamicin (antibiotic)s 0.13
fasting 0.129
helminth infection (prescription) 0.129
palm kernel meal 0.122
๐Ÿ•ฎ  fructo-oligosaccharides (prebiotic) 0.116
fish oil 0.116
cholic acid (bile acid) 0.112
sodium butyrate 0.111
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.107
๐Ÿ•ฎ  lactobacillus fermentum (probiotics) 0.106
amaranth 0.101
l-proline 0.1
chondrus crispus,red sea weed 0.1
๐Ÿ•ฎ  lactobacillus acidophilus (probiotics) 0.098
xylan (prebiotic) 0.097
genistein 0.096
plantago asiatica l. 0.095
wheat bran 0.095
butirosin 0.094
Sijunzi decoction 0.094
lincosamide (antibiotic)s 0.094
bile (acid/salts) 0.091
๐Ÿ•ฎ  pectin 0.089
dairy 0.086
pea (fiber, protein) 0.078
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.078
๐Ÿ•ฎ  alcoholic beverages 0.077
fat 0.076
whole grain diet 0.075
๐Ÿ•ฎ  Bofutsushosan 0.074
๐Ÿ•ฎ  bifidobacterium catenulatum,(probiotics) 0.073
hypocaloric hyperproteic diet 0.073
penicillin-moxalactam (antibiotic)s 0.072
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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