Why some suggestions may contradict

RECOMMENDED READING Caveats on using the contents of this page. 👨‍⚕️

If you need help with this information, here is a list of consultants 👨‍⚕️👩‍⚕️ that are available.

Suggestion Parameters
Sample:A Priori (from theoretical deduction)
Bacteria Selection:Outside of Range
Filter: From Special Studies V2: Comorbid: Constipation and Explosions (not diarrohea)_No_Drugs
Rank Used: All Ranks
Shifts Used:High and Low Levels
Citations Used:

How do we know if the suggestions are reasonable/valid?

🍱 Food Menu Planner 🍽️ 📹 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 📹
🕮  Hesperidin (polyphenol) 0.463  📏
🕮  N-Acetyl Cysteine (NAC), 0.387  📏
🕮  garlic (allium sativum) 0.373  📏
Caffeine 0.369
🕮  Vitamin B1,thiamine hydrochloride 0.365  📏
retinoic acid,(Vitamin A derivative) 0.353
Arbutin (polyphenol) 0.353  📏
Theobromine (in food) 0.353
🕮  Vitamin B6,pyridoxine hydrochloride 0.353  📏
luteolin (flavonoid) 0.353  📏
diosmin,(polyphenol) 0.353  📏
🕮  Vitamin B-12 0.347  📏
🕮  melatonin supplement 0.346  📏
🕮  vitamin B7, biotin 0.331  📏
vitamin B3,niacin 0.305  📏
sucralose 0.279  📏
🕮  thyme (thymol, thyme oil) 0.278
Guaiacol (polyphenol) 0.262
neem 0.252  📏
tea 0.25
Vitamin B9,folic acid 0.243  📏
peppermint (spice, oil) 0.233
galla chinensis (herb) 0.225
cinnamon (oil. spice) 0.22  📏
Vitamin C (ascorbic acid) 0.218  📏
chitosan,(sugar) 0.204  📏
laminaria hyperborea( tangle/cuvie - seaweed) 0.193
🕮  lactobacillus kefiri (NOT KEFIR) 0.181
lemongrass oil 0.163
low fodmap diet 0.151
🕮  high-fat diets 0.15
magnesium-deficient diet 0.147
foeniculum vulgare,fennel 0.146
🕮  hypericin, St. John's Wort 0.146
laser trilobum l.,kefe cumin 0.127
🕮  Perilla frutescens(shiso) 0.126  📏
mastic gum (prebiotic) 0.117  📏
syzygium aromaticum (clove) 0.117
Curcumin 0.116  📏
🕮  bifidobacterium lactis,streptococcus thermophilus probiotic 0.11
low carbohydrate diet 0.108
trachyspermum ammi, Ajwain 0.106
momordia charantia(bitter melon, karela, balsam pear, or bitter gourd) 0.103
Hawthorn [Crataegus monogyna Jacq.,Crataegus oxyacantha L] 0.103
Sumac(Rhus coriaria) 0.102
gluten-free diet 0.102
🕮  lactobacillus salivarius (probiotics) 0.099  📏
nigella sativa seed (black cumin) 0.098  📏
aloe vera 0.097
coriander oil 0.095
sorghum 0.095
🕮  vitamin d 0.093  📏
glycyrrhizic acid (licorice) 0.093  📏
Umeboshi (Japanese Apricot or Prunus mume ) 0.092
🕮  fluorine 0.089
chitooligosaccharides (prebiotic) 0.086  📏
🕮  high-saturated fat diet 0.083
ascophyllum nodosum (sea weed) 0.082
high-protein diet 0.082
vegetable/fruit juice-based diets 0.08

To Remove or Decrease
Modifier Confidence 📹
🕮  inulin (prebiotic) 1
arabinogalactan (prebiotic) 0.718
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.707
🕮  fructo-oligosaccharides (prebiotic) 0.7
🕮  lactulose 0.567
resistant starch 0.548
soy 0.541
apple 0.435
raffinose(sugar beet) 0.427
wheat bran 0.412
bacillus subtilis (probiotics) 0.398
🕮  lactobacillus plantarum (probiotics) 0.394
🕮  lactobacillus acidophilus (probiotics) 0.389
Slippery Elm 0.378
🕮  resveratrol (grape seed/polyphenols/red wine) 0.362
🕮  galacto-oligosaccharides (prebiotic) 0.336
jerusalem artichoke (prebiotic) 0.332
red wine 0.304
almonds/ almond skins 0.303
🕮  Glucomannan 0.299
🕮  pectin 0.292
mediterranean diet 0.29
🕮  Pulses 0.289
🕮  oligosaccharides (prebiotic) 0.287
sesame cake/meal 0.268
barley,oat 0.264
🕮  saccharomyces boulardii (probiotics) 0.254
fasting 0.245
🕮  gum arabic (prebiotic) 0.237
fish oil 0.235
chondrus crispus,red sea weed 0.234
🕮  Burdock Root 0.228
blueberry 0.22
ku ding cha tea 0.217
pea (fiber, protein) 0.216
ketogenic diet 0.214
Conjugated Linoleic Acid 0.214
🕮  bifidobacterium bifidum (probiotics) 0.213
vsl#3 (probiotics) 0.211
high fiber diet 0.207
clostridium butyricum (probiotics),Miya,Miyarisan 0.207
wheat 0.206
🕮  lactobacillus plantarum,xylooligosaccharides,(prebiotic) (probiotics) 0.204
🕮  berberine 0.191
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.191
🕮  bifidobacterium lactis bb12 (probiotics) 0.188
oats 0.185
magnesium 0.183
partially hydrolysed guar gum,fructo-oligosaccharides (prebiotic) 0.181
🕮  zinc 0.18
daesiho-tang 0.177
green tea 0.177
resistant maltodextrin 0.174
plantago asiatica l. 0.174
fat 0.172
whey 0.167
🕮  galactose (milk sugar) 0.166
l-proline 0.163
non-starch polysaccharides 0.162
xylan (prebiotic) 0.161
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 § 1030, 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.


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