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: Official Diagnosis: COVID19 (Long Hauler)_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 0.817  ๐Ÿ“
๐Ÿ•ฎ  Exercise 0.81
๐Ÿ•ฎ  Goji (berry,juice) 0.716
walnuts 0.711  ๐Ÿ“
๐Ÿ•ฎ  thyme (thymol, thyme oil) 0.709
Curcumin 0.691  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus casei (probiotics) 0.688  ๐Ÿ“
rosmarinus officinalis,rosemary 0.682
๐Ÿ•ฎ  Hesperidin (polyphenol) 0.617  ๐Ÿ“
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.611  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B-12 0.611  ๐Ÿ“
tea 0.596
๐Ÿ•ฎ  melatonin supplement 0.533  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B6,pyridoxine hydrochloride 0.533  ๐Ÿ“
retinoic acid,(Vitamin A derivative) 0.533
diosmin,(polyphenol) 0.533  ๐Ÿ“
Theobromine (in food) 0.533
luteolin (flavonoid) 0.533  ๐Ÿ“
Arbutin (polyphenol) 0.533  ๐Ÿ“
Guaiacol (polyphenol) 0.533
saccharin 0.508  ๐Ÿ“
๐Ÿ•ฎ  Astragalus polysaccharide 0.486
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.45  ๐Ÿ“
Vitamin C (ascorbic acid) 0.45  ๐Ÿ“
bacillus amyloliquefaciens (probiotic) 0.447  ๐Ÿ“
๐Ÿ•ฎ  lauric acid(fatty acid in coconut oil,in palm kernel oil,) 0.445
mastic gum (prebiotic) 0.427  ๐Ÿ“
gluten-free diet 0.403
syzygium aromaticum (clove) 0.396
resistant starch 0.393
Vitamin B9,folic acid 0.376  ๐Ÿ“
Caffeine 0.37
bacillus laterosporus (probiotic) 0.344
aloe vera 0.341
foeniculum vulgare,fennel 0.339
chitosan,(sugar) 0.336  ๐Ÿ“
trachyspermum ammi, Ajwain 0.318
green tea 0.315
anise 0.314  ๐Ÿ“
peppermint (spice, oil) 0.314
cinnamon (oil. spice) 0.308  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus brevis (probiotics) 0.299  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus kefiri (NOT KEFIR) 0.299
๐Ÿ•ฎ  bifidobacterium bifidum (probiotics) 0.299  ๐Ÿ“
quercetin,resveratrol 0.28
๐Ÿ•ฎ  lactobacillus paracasei (probiotics) 0.243  ๐Ÿ“
lactose 0.241
red alga Laurencia tristicha 0.241
sorghum 0.241
neem 0.24  ๐Ÿ“
brassica juncea 0.236
schinus molle (herb) 0.236
marjoram 0.236
Mangosteen 0.236
basil 0.236
trametes versicolor(Turkey tail mushroom) 0.232
olea europaea,olive leaf 0.22  ๐Ÿ“
whole-grain wheat 0.216
low carbohydrate diet 0.193
triphala 0.183  ๐Ÿ“

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
mediterranean diet 1
๐Ÿ•ฎ  Pulses 0.939
non-starch polysaccharides 0.933
arabinogalactan (prebiotic) 0.799
red wine 0.782
๐Ÿ•ฎ  inulin (prebiotic) 0.738
vegetarians 0.704
๐Ÿ•ฎ  Burdock Root 0.695
ketogenic diet 0.672
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.585
fat 0.534
high carbohydrate diet 0.512
navy bean 0.505
xylan (prebiotic) 0.493
๐Ÿ•ฎ  lactobacillus reuteri (probiotics) 0.487
๐Ÿ•ฎ  Pistachio 0.486
๐Ÿ•ฎ  lactobacillus acidophilus (probiotics) 0.484
๐Ÿ•ฎ  pectin 0.464
pea (fiber, protein) 0.452
linseed(flaxseed) 0.44
๐Ÿ•ฎ  resveratrol (grape seed/polyphenols/red wine) 0.438
Lactobacillus Johnsonii (probiotic) 0.417
rhubarb 0.397
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.396
bacillus subtilis (probiotics) 0.396
Conjugated Linoleic Acid 0.392
๐Ÿ•ฎ  ß-glucan 0.383
wheat bran 0.376
๐Ÿ•ฎ  berberine 0.366
l-citrulline 0.354
pomegranate 0.328
raffinose(sugar beet) 0.327
l-proline 0.325
๐Ÿ•ฎ  Ginseng 0.324
๐Ÿ•ฎ  bifidobacterium adolescentis,(probiotics) 0.313
magnesium 0.313
vitamin a 0.313
fruit/legume fibre 0.299
dietary phytoestrogens (isoflavones) 0.292
๐Ÿ•ฎ  lactulose 0.25
carob 0.241
๐Ÿ•ฎ  Agavins (agave sugar) 0.241
high red meat 0.241
amaranth 0.241
๐Ÿ•ฎ  galactose (milk sugar) 0.241
fish oil 0.234
๐Ÿ•ฎ  camellia 0.234
๐Ÿ•ฎ  bifidobacterium animalis lactis (probiotics) 0.234
๐Ÿ•ฎ  lactobacillus rhamnosus (probiotics) 0.234
๐Ÿ•ฎ  saccharomyces boulardii (probiotics) 0.233
General Biotics Equilibrium 0.233
bacillus coagulans (probiotics) 0.23
wheat 0.209
๐Ÿ•ฎ  cruciferous vegetables (broccoli cabbage) 0.202
barley 0.188
fasting 0.187
ginger 0.185
clostridium butyricum (probiotics),Miya,Miyarisan 0.182
grape polyphenols 0.182
levan 0.171
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.
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