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_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
๐Ÿ•ฎ  Hesperidin (polyphenol) 0.604  ๐Ÿ“
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.592  ๐Ÿ“
Caffeine 0.579
๐Ÿ•ฎ  Vitamin B-12 0.566  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.565  ๐Ÿ“
Vitamin C (ascorbic acid) 0.519  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B6,pyridoxine hydrochloride 0.515  ๐Ÿ“
Theobromine (in food) 0.515
luteolin (flavonoid) 0.515  ๐Ÿ“
retinoic acid,(Vitamin A derivative) 0.515
diosmin,(polyphenol) 0.515  ๐Ÿ“
Arbutin (polyphenol) 0.515  ๐Ÿ“
vitamin B3,niacin 0.502  ๐Ÿ“
๐Ÿ•ฎ  vitamin B7, biotin 0.5  ๐Ÿ“
๐Ÿ•ฎ  garlic (allium sativum) 0.5  ๐Ÿ“
๐Ÿ•ฎ  melatonin supplement 0.497  ๐Ÿ“
Vitamin B9,folic acid 0.397  ๐Ÿ“
Guaiacol (polyphenol) 0.359
cinnamon (oil. spice) 0.33  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus casei (probiotics) 0.314  ๐Ÿ“
neem 0.288  ๐Ÿ“
sucralose 0.281  ๐Ÿ“
peppermint (spice, oil) 0.281
๐Ÿ•ฎ  lactobacillus paracasei (probiotics) 0.24  ๐Ÿ“
๐Ÿ•ฎ  thyme (thymol, thyme oil) 0.234
whole-grain barley 0.23  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus reuteri (probiotics) 0.22  ๐Ÿ“
galla chinensis (herb) 0.217
foeniculum vulgare,fennel 0.203
Curcumin 0.203  ๐Ÿ“
whey 0.202  ๐Ÿ“
chitosan,(sugar) 0.195  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus kefiri (NOT KEFIR) 0.188
rosmarinus officinalis,rosemary 0.173
๐Ÿ•ฎ  lauric acid(fatty acid in coconut oil,in palm kernel oil,) 0.169
momordia charantia(bitter melon, karela, balsam pear, or bitter gourd) 0.163
glycyrrhizic acid (licorice) 0.149  ๐Ÿ“
๐Ÿ•ฎ  enterococcus faecium (probiotic) 0.148  ๐Ÿ“
Cranberry 0.146
tea 0.143
clostridium butyricum (probiotics),Miya,Miyarisan 0.142  ๐Ÿ“
aloe vera 0.137
lemongrass oil 0.137
laminaria hyperborea( tangle/cuvie - seaweed) 0.134
laser trilobum l.,kefe cumin 0.133
vegetable/fruit juice-based diets 0.13
๐Ÿ•ฎ  tulsi 0.128  ๐Ÿ“
๐Ÿ•ฎ  cannabinoids 0.125
๐Ÿ•ฎ  lactobacillus salivarius (probiotics) 0.124  ๐Ÿ“
๐Ÿ•ฎ  bifidobacterium longum bb536 (probiotics) 0.123
pediococcus acidilactic (probiotic) 0.12
high animal protein diet 0.116
rosa rugosa 0.116
mutaflor escherichia coli nissle 1917 (probiotics) 0.115  ๐Ÿ“
๐Ÿ•ฎ  bifidobacterium animalis lactis (probiotics) 0.11  ๐Ÿ“
trachyspermum ammi, Ajwain 0.109
Sumac(Rhus coriaria) 0.109
syzygium aromaticum (clove) 0.109
pomegranate 0.109  ๐Ÿ“
oregano (origanum vulgare, oil) | 0.109

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
wheat bran 0.293
๐Ÿ•ฎ  lactulose 0.265
saccharin 0.254
๐Ÿ•ฎ  zinc 0.253
l-citrulline 0.24
mediterranean diet 0.238
gallic acid (food additive) 0.229
resistant maltodextrin 0.217
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
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.163
levan 0.154
barley,oat 0.151
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  bifidobacterium longum (probiotics) 0.105
vegetarians 0.104
amaranth 0.103
red alga Laurencia tristicha 0.103
symbioflor 2 e.coli probiotics 0.102
slow digestible carbohydrates 0.102
chondrus crispus,red sea weed 0.101
๐Ÿ•ฎ  galactose (milk sugar) 0.101
walnuts 0.097
propionate 0.096
coptis chinensis, Chinese goldthread 0.096
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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