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: High Anxiety_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) 0.393  📏
🕮  garlic (allium sativum) 0.356  📏
🕮  N-Acetyl Cysteine (NAC), 0.313  📏
Caffeine 0.292
vitamin B3,niacin 0.285  📏
🕮  thyme (thymol, thyme oil) 0.281
tea 0.279
diosmin,(polyphenol) 0.278  📏
🕮  Vitamin B6,pyridoxine hydrochloride 0.278  📏
luteolin (flavonoid) 0.278  📏
Theobromine (in food) 0.278
retinoic acid,(Vitamin A derivative) 0.278
Arbutin (polyphenol) 0.278  📏
🕮  Vitamin B-12 0.274  📏
sucralose 0.272  📏
🕮  Vitamin B1,thiamine hydrochloride 0.272  📏
🕮  melatonin supplement 0.264  📏
🕮  vitamin B7, biotin 0.262  📏
peppermint (spice, oil) 0.231
galla chinensis (herb) 0.22
Guaiacol (polyphenol) 0.214
neem 0.213  📏
Vitamin B9,folic acid 0.209  📏
laminaria hyperborea( tangle/cuvie - seaweed) 0.207
chitosan,(sugar) 0.196  📏
🕮  high-fat diets 0.193
cinnamon (oil. spice) 0.178  📏
aloe vera 0.176
lemongrass oil 0.159
magnesium-deficient diet 0.155
low fodmap diet 0.154
Vitamin C (ascorbic acid) 0.15  📏
🕮  lactobacillus kefiri (NOT KEFIR) 0.15
low carbohydrate diet 0.135
mastic gum (prebiotic) 0.126  📏
Sumac(Rhus coriaria) 0.124
Curcumin 0.121  📏
syzygium aromaticum (clove) 0.12
🕮  Perilla frutescens(shiso) 0.119  📏
trachyspermum ammi, Ajwain 0.119
🕮  bifidobacterium lactis,streptococcus thermophilus probiotic 0.111
Umeboshi (Japanese Apricot or Prunus mume ) 0.108
🕮  high-saturated fat diet 0.1
🕮  fluorine 0.099
coriander oil 0.098
glycyrrhizic acid (licorice) 0.094  📏
🕮  hypericin, St. John's Wort 0.093
ascophyllum nodosum (sea weed) 0.093
sorghum 0.089
momordia charantia(bitter melon, karela, balsam pear, or bitter gourd) 0.087
high-protein diet 0.085
rice 0.083
🕮  lactobacillus salivarius (probiotics) 0.078  📏
saccharin 0.077  📏
nigella sativa seed (black cumin) 0.076  📏
laser trilobum l.,kefe cumin 0.076
foeniculum vulgare,fennel 0.075
epicatechin 0.074
wormwood(artemisia) 0.073
xylaria hypoxylon (fungi) 0.073

To Remove or Decrease
Modifier Confidence 📹
🕮  inulin (prebiotic) 1
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.795
🕮  fructo-oligosaccharides (prebiotic) 0.783
arabinogalactan (prebiotic) 0.745
🕮  lactulose 0.596
resistant starch 0.543
soy 0.524
raffinose(sugar beet) 0.492
apple 0.439
wheat bran 0.427
🕮  resveratrol (grape seed/polyphenols/red wine) 0.397
🕮  lactobacillus acidophilus (probiotics) 0.397
🕮  lactobacillus plantarum (probiotics) 0.38
bacillus subtilis (probiotics) 0.368
🕮  galacto-oligosaccharides (prebiotic) 0.364
jerusalem artichoke (prebiotic) 0.351
🕮  Glucomannan 0.346
Slippery Elm 0.345
red wine 0.305
almonds/ almond skins 0.304
mediterranean diet 0.302
🕮  pectin 0.296
barley,oat 0.294
sesame cake/meal 0.294
chondrus crispus,red sea weed 0.276
🕮  oligosaccharides (prebiotic) 0.271
🕮  gum arabic (prebiotic) 0.269
🕮  Pulses 0.255
blueberry 0.253
fish oil 0.244
clostridium butyricum (probiotics),Miya,Miyarisan 0.243
Conjugated Linoleic Acid 0.239
wheat 0.238
ku ding cha tea 0.23
ketogenic diet 0.229
green tea 0.223
🕮  lactobacillus plantarum,xylooligosaccharides,(prebiotic) (probiotics) 0.222
🕮  bifidobacterium bifidum (probiotics) 0.219
fasting 0.218
pea (fiber, protein) 0.216
vsl#3 (probiotics) 0.214
oats 0.211
🕮  bifidobacterium lactis bb12 (probiotics) 0.203
🕮  Burdock Root 0.203
non-starch polysaccharides 0.202
high fiber diet 0.201
partially hydrolysed guar gum,fructo-oligosaccharides (prebiotic) 0.201
l-proline 0.193
daesiho-tang 0.191
plantago asiatica l. 0.185
magnesium 0.184
🕮  zinc 0.184
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.178
fat 0.177
whey 0.173
xylan (prebiotic) 0.164
green-lipped mussel 0.164
🕮  lactobacillus fermentum (probiotics) 0.163
resistant maltodextrin 0.163
🕮  saccharomyces boulardii (probiotics) 0.158
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.
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