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: Worsening of symptoms after mild physical activity_No_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.

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
foeniculum vulgare,fennel 1
cinnamon (oil. spice) 0.962  ๐Ÿ“
๐Ÿ•ฎ  garlic (allium sativum) 0.809  ๐Ÿ“
syzygium aromaticum (clove) 0.786
๐Ÿ•ฎ  Vitamin B-12 0.725  ๐Ÿ“
neem 0.717  ๐Ÿ“
๐Ÿ•ฎ  thyme (thymol, thyme oil) 0.698
๐Ÿ•ฎ  Hesperidin (polyphenol) 0.675  ๐Ÿ“
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.671  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.666  ๐Ÿ“
Caffeine 0.637
oregano (origanum vulgare, oil) | 0.625
๐Ÿ•ฎ  lactobacillus paracasei (probiotics) 0.606  ๐Ÿ“
vitamin B3,niacin 0.605  ๐Ÿ“
aloe vera 0.592
Curcumin 0.591  ๐Ÿ“
retinoic acid,(Vitamin A derivative) 0.591
diosmin,(polyphenol) 0.591  ๐Ÿ“
๐Ÿ•ฎ  vitamin B7, biotin 0.591  ๐Ÿ“
Arbutin (polyphenol) 0.591  ๐Ÿ“
luteolin (flavonoid) 0.591  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B6,pyridoxine hydrochloride 0.591  ๐Ÿ“
Theobromine (in food) 0.591
๐Ÿ•ฎ  lactobacillus reuteri (probiotics) 0.574  ๐Ÿ“
๐Ÿ•ฎ  melatonin supplement 0.563  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus casei (probiotics) 0.552  ๐Ÿ“
peppermint (spice, oil) 0.519
rosmarinus officinalis,rosemary 0.518
Guaiacol (polyphenol) 0.495
clostridium butyricum (probiotics),Miya,Miyarisan 0.493  ๐Ÿ“
soy 0.484  ๐Ÿ“
whey 0.483  ๐Ÿ“
nigella sativa seed (black cumin) 0.473  ๐Ÿ“
mastic gum (prebiotic) 0.466  ๐Ÿ“
epicatechin 0.461
๐Ÿ•ฎ  resveratrol (grape seed/polyphenols/red wine) 0.458  ๐Ÿ“
trachyspermum ammi, Ajwain 0.448
laser trilobum l.,kefe cumin 0.432
Sumac(Rhus coriaria) 0.421
galla chinensis (herb) 0.37
๐Ÿ•ฎ  lactobacillus kefiri (NOT KEFIR) 0.356
barley 0.349  ๐Ÿ“
๐Ÿ•ฎ  enterococcus faecium (probiotic) 0.343  ๐Ÿ“
triphala 0.336  ๐Ÿ“
(+)-catechin 0.325
๐Ÿ•ฎ  hypericin, St. John's Wort 0.321
Vitamin C (ascorbic acid) 0.31  ๐Ÿ“
tea 0.297
coriander oil 0.296
xylaria hypoxylon (fungi) 0.289
lemongrass oil 0.288
olea europaea,olive leaf 0.286  ๐Ÿ“
whole-grain barley 0.275  ๐Ÿ“
salvia officinalis (sage) 0.263
๐Ÿ•ฎ  lactobacillus casei shirota (probiotics) 0.262  ๐Ÿ“
Umeboshi (Japanese Apricot or Prunus mume ) 0.261
cinnamomum zeylanicum 0.252
allium cepa 0.252
cinnamomum tamala 0.252
papaya 0.248

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
๐Ÿ•ฎ  berberine 0.864
๐Ÿ•ฎ  lactulose 0.68
arabinogalactan (prebiotic) 0.671
Slippery Elm 0.647
non-starch polysaccharides 0.582
mediterranean diet 0.501
๐Ÿ•ฎ  Pulses 0.48
red wine 0.46
vsl#3 (probiotics) 0.391
l-citrulline 0.386
xylan (prebiotic) 0.346
๐Ÿ•ฎ  Reduce choline (Beef, Chicken Eggs) 0.341
๐Ÿ•ฎ  lactobacillus gasseri (probiotics) 0.34
pea (fiber, protein) 0.339
ketogenic diet 0.328
raffinose(sugar beet) 0.311
๐Ÿ•ฎ  alcoholic beverages 0.301
๐Ÿ•ฎ  saccharomyces boulardii (probiotics) 0.295
wheat bran 0.287
gynostemma pentaphyllum (Jiaogulan) 0.273
high sugar diet 0.272
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.265
๐Ÿ•ฎ  high-fat diets 0.263
green-lipped mussel 0.26
๐Ÿ•ฎ  Exercise 0.253
ku ding cha tea 0.253
apple 0.251
barley,oat 0.244
chondrus crispus,red sea weed 0.237
fat 0.231
navy bean 0.231
aspartame (sweetner) 0.226
palm kernel meal 0.223
symbioflor 2 e.coli probiotics 0.215
๐Ÿ•ฎ  galacto-oligosaccharides (prebiotic) 0.215
levan 0.203
๐Ÿ•ฎ  inulin (prebiotic) 0.203
๐Ÿ•ฎ  lactobacillus fermentum (probiotics) 0.183
high carbohydrate diet 0.182
l-proline 0.176
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.17
Sijunzi decoction 0.17
blueberry 0.164
amaranth 0.164
Ferric citrate 0.163
bacillus coagulans (probiotics) 0.157
moderate-protein moderate-carbohydrate 0.155
๐Ÿ•ฎ  pectin 0.148
resistant maltodextrin 0.144
fish oil 0.143
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.143
๐Ÿ•ฎ  glucose (sugar) 0.141
red alga Laurencia tristicha 0.139
carob 0.134
blackcurrant 0.131
coptis chinensis, Chinese goldthread 0.13
sarcodiotheca gaudichaudii (red sea weed) 0.129
๐Ÿ•ฎ  fruit 0.124
propionate 0.124
dairy 0.122
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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