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: Autoimmune Disease_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
๐Ÿ•ฎ  Hesperidin (polyphenol) 0.373  ๐Ÿ“
๐Ÿ•ฎ  garlic (allium sativum) 0.299  ๐Ÿ“
Caffeine 0.28
vitamin B3,niacin 0.272  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.271  ๐Ÿ“
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.266  ๐Ÿ“
luteolin (flavonoid) 0.265  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B6,pyridoxine hydrochloride 0.265  ๐Ÿ“
retinoic acid,(Vitamin A derivative) 0.265
Theobromine (in food) 0.265
diosmin,(polyphenol) 0.265  ๐Ÿ“
Arbutin (polyphenol) 0.265  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B-12 0.265  ๐Ÿ“
๐Ÿ•ฎ  melatonin supplement 0.263  ๐Ÿ“
๐Ÿ•ฎ  thyme (thymol, thyme oil) 0.263
๐Ÿ•ฎ  vitamin B7, biotin 0.254  ๐Ÿ“
chitosan,(sugar) 0.241  ๐Ÿ“
๐Ÿ•ฎ  high-fat diets 0.24
galla chinensis (herb) 0.238
Guaiacol (polyphenol) 0.228
sucralose 0.209  ๐Ÿ“
peppermint (spice, oil) 0.207
low fodmap diet 0.205
tea 0.191
laminaria hyperborea( tangle/cuvie - seaweed) 0.186
Vitamin C (ascorbic acid) 0.184  ๐Ÿ“
neem 0.177  ๐Ÿ“
carboxymethyl cellulose (prebiotic) 0.174
Curcumin 0.16  ๐Ÿ“
magnesium-deficient diet 0.147
Vitamin B9,folic acid 0.141  ๐Ÿ“
low carbohydrate diet 0.138
lemongrass oil 0.134
๐Ÿ•ฎ  lactobacillus kefiri (NOT KEFIR) 0.134
๐Ÿ•ฎ  bifidobacterium lactis,streptococcus thermophilus probiotic 0.122
ascophyllum nodosum (sea weed) 0.115
gluten-free diet 0.115
high-protein diet 0.104
aloe vera 0.104
rice 0.104
๐Ÿ•ฎ  high-saturated fat diet 0.102
cinnamon (oil. spice) 0.098  ๐Ÿ“
lacto-ovo-vegetarian diet 0.096
Sumac(Rhus coriaria) 0.094
red wine polyphenols 0.093  ๐Ÿ“
mastic gum (prebiotic) 0.093  ๐Ÿ“
syzygium aromaticum (clove) 0.091
red alga Laurencia tristicha 0.091
trachyspermum ammi, Ajwain 0.091
coriander oil 0.09
๐Ÿ•ฎ  Fisetin 0.086  ๐Ÿ“
foeniculum vulgare,fennel 0.084
vegetarians 0.08
๐Ÿ•ฎ  Dextrin 0.079  ๐Ÿ“
glycyrrhizic acid (licorice) 0.079  ๐Ÿ“
high beef diet 0.078
๐Ÿ•ฎ  bifidobacterium longum,lactobacillus helveticus (probiotics) 0.077
๐Ÿ•ฎ  Perilla frutescens(shiso) 0.077  ๐Ÿ“
oplopanax horridus(Devil's Club) 0.076
nigella sativa seed (black cumin) 0.076  ๐Ÿ“

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
๐Ÿ•ฎ  inulin (prebiotic) 1
๐Ÿ•ฎ  fructo-oligosaccharides (prebiotic) 0.785
arabinogalactan (prebiotic) 0.745
soy 0.709
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.691
๐Ÿ•ฎ  lactulose 0.564
resistant starch 0.554
raffinose(sugar beet) 0.483
๐Ÿ•ฎ  lactobacillus acidophilus (probiotics) 0.43
wheat bran 0.417
๐Ÿ•ฎ  galacto-oligosaccharides (prebiotic) 0.414
๐Ÿ•ฎ  Glucomannan 0.403
jerusalem artichoke (prebiotic) 0.398
green tea 0.386
wheat 0.375
๐Ÿ•ฎ  resveratrol (grape seed/polyphenols/red wine) 0.361
chondrus crispus,red sea weed 0.354
apple 0.354
bacillus subtilis (probiotics) 0.341
barley,oat 0.339
sesame cake/meal 0.333
clostridium butyricum (probiotics),Miya,Miyarisan 0.33
ketogenic diet 0.328
almonds/ almond skins 0.326
๐Ÿ•ฎ  Cacao 0.298
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.295
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.289
high fiber diet 0.289
red wine 0.287
๐Ÿ•ฎ  gum arabic (prebiotic) 0.285
fish oil 0.268
๐Ÿ•ฎ  lactobacillus plantarum,xylooligosaccharides,(prebiotic) (probiotics) 0.266
mediterranean diet 0.265
blueberry 0.253
๐Ÿ•ฎ  enterococcus faecium (probiotic) 0.248
๐Ÿ•ฎ  pectin 0.247
oats 0.233
magnesium 0.229
daesiho-tang 0.221
๐Ÿ•ฎ  Burdock Root 0.22
Conjugated Linoleic Acid 0.22
partially hydrolysed guar gum,fructo-oligosaccharides (prebiotic) 0.214
vsl#3 (probiotics) 0.211
๐Ÿ•ฎ  bifidobacterium lactis bb12 (probiotics) 0.209
๐Ÿ•ฎ  Pulses 0.208
ku ding cha tea 0.203
l-proline 0.196
whey 0.196
quercetin 0.195
grape seed extract 0.192
fruit/legume fibre 0.188
chicory (prebiotic) 0.187
Slippery Elm 0.182
pomegranate 0.18
barley 0.178
๐Ÿ•ฎ  noni 0.168
๐Ÿ•ฎ  zinc 0.168
resistant maltodextrin 0.158
sarcodiotheca gaudichaudii (red sea weed) 0.155
fasting 0.154
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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