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: Neuroendocrine: Sweating hands_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

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.

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 B3,niacin 0.869  ๐Ÿ“
Vitamin B9,folic acid 0.783  ๐Ÿ“
๐Ÿ•ฎ  Hesperidin (polyphenol) 0.77  ๐Ÿ“
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.737  ๐Ÿ“
Caffeine 0.723
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.692  ๐Ÿ“
Arbutin (polyphenol) 0.637  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B-12 0.637  ๐Ÿ“
Theobromine (in food) 0.637
luteolin (flavonoid) 0.637  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B6,pyridoxine hydrochloride 0.637  ๐Ÿ“
retinoic acid,(Vitamin A derivative) 0.637
diosmin,(polyphenol) 0.637  ๐Ÿ“
Vitamin C (ascorbic acid) 0.631  ๐Ÿ“
๐Ÿ•ฎ  melatonin supplement 0.613  ๐Ÿ“
๐Ÿ•ฎ  vitamin B7, biotin 0.6  ๐Ÿ“
chitosan,(sugar) 0.486  ๐Ÿ“
whole-grain barley 0.475  ๐Ÿ“
sucralose 0.415  ๐Ÿ“
Guaiacol (polyphenol) 0.329
๐Ÿ•ฎ  lactobacillus kefiri (NOT KEFIR) 0.312
momordia charantia(bitter melon, karela, balsam pear, or bitter gourd) 0.298
Curcumin 0.295  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus casei (probiotics) 0.274  ๐Ÿ“
๐Ÿ•ฎ  cannabinoids 0.247
mastic gum (prebiotic) 0.238  ๐Ÿ“
high-protein diet 0.238
๐Ÿ•ฎ  lauric acid(fatty acid in coconut oil,in palm kernel oil,) 0.233
๐Ÿ•ฎ  garlic (allium sativum) 0.229  ๐Ÿ“
foeniculum vulgare,fennel 0.226
gluten-free diet 0.221
brown rice 0.214
nigella sativa seed (black cumin) 0.212  ๐Ÿ“
๐Ÿ•ฎ  hypericin, St. John's Wort 0.21
laser trilobum l.,kefe cumin 0.21
salvia officinalis (sage) 0.203
๐Ÿ•ฎ  jatropha curcas [can be poisonous] 0.196
oplopanax horridus(Devil's Club) 0.196
green tea 0.196
low carbohydrate diet 0.195
rosmarinus officinalis,rosemary 0.189
galla rhois 0.183
sorghum 0.17
grape polyphenols 0.162
๐Ÿ•ฎ  bifidobacterium lactis,streptococcus thermophilus probiotic 0.16
๐Ÿ•ฎ  thyme (thymol, thyme oil) 0.154
Cranberry 0.153
๐Ÿ•ฎ  Cacao 0.151  ๐Ÿ“
refined wheat breads 0.15
๐Ÿ•ฎ  Turmeric 0.148  ๐Ÿ“
anise 0.148  ๐Ÿ“
peppermint (spice, oil) 0.148
pediococcus acidilactic (probiotic) 0.148
polyphenols 0.148  ๐Ÿ“
๐Ÿ•ฎ  bifidobacterium longum bb536 (probiotics) 0.147
๐Ÿ•ฎ  noni 0.147  ๐Ÿ“
Kimchi 0.146
๐Ÿ•ฎ  lactobacillus brevis (probiotics) 0.145  ๐Ÿ“
๐Ÿ•ฎ  resveratrol (grape seed/polyphenols/red wine) 0.143  ๐Ÿ“
quercetin,resveratrol 0.14

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
arabinogalactan (prebiotic) 1
Slippery Elm 0.996
๐Ÿ•ฎ  berberine 0.845
๐Ÿ•ฎ  inulin (prebiotic) 0.845
red wine 0.843
๐Ÿ•ฎ  Pulses 0.763
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.649
saccharin 0.643
non-starch polysaccharides 0.606
resistant starch 0.59
xylan (prebiotic) 0.58
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.559
wheat bran 0.516
vegetarians 0.496
ketogenic diet 0.478
l-citrulline 0.464
resistant maltodextrin 0.458
triphala 0.45
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.428
navy bean 0.405
๐Ÿ•ฎ  vitamin d 0.386
๐Ÿ•ฎ  pectin 0.375
pomegranate 0.35
pea (fiber, protein) 0.343
๐Ÿ•ฎ  lactobacillus rhamnosus gg (probiotics) 0.338
gallic acid (food additive) 0.336
mediterranean diet 0.334
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.306
๐Ÿ•ฎ  iron 0.304
๐Ÿ•ฎ  Reduce choline (Beef, Chicken Eggs) 0.301
apple 0.291
๐Ÿ•ฎ  galacto-oligosaccharides (prebiotic) 0.289
plantago asiatica l. 0.284
stevia 0.276
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.272
l-proline 0.271
levan 0.263
๐Ÿ•ฎ  lactobacillus acidophilus (probiotics) 0.248
low-fat diets 0.242
propionate 0.225
cranberry bean flour 0.222
fasting 0.209
๐Ÿ•ฎ  bifidobacterium longum (probiotics) 0.208
animal-based diet 0.205
blackcurrant 0.204
high carbohydrate diet 0.199
fibre-rich macrobiotic ma-pi 2 diet 0.196
gynostemma pentaphyllum (Jiaogulan) 0.193
coptis chinensis, Chinese goldthread 0.193
nuts 0.189
๐Ÿ•ฎ  Bofutsushosan 0.188
fat 0.183
๐Ÿ•ฎ  saccharomyces boulardii (probiotics) 0.179
high red meat 0.176
walnuts 0.175
Psyllium (Plantago Ovata Husk) 0.172
partially hydrolysed guar gum,fructo-oligosaccharides (prebiotic) 0.171
bacillus licheniformis,(probiotics) 0.171
Miso 0.171
Alpha-Ketoglutarate 0.166
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.

Copyright 2016-2023 Lassesen Consulting, LLC [2007], DBA, Microbiome Prescription. All rights served.
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.
This site is not Health Insurance Portability and Accountability Act of 1996 (HIPAA) compliant.


The awesome web hosting site that we use. Try it if you need to host (or unhappy with current provider)