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: Pain: Sensitivity to pain_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


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) 0.424  ๐Ÿ“
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.327  ๐Ÿ“
๐Ÿ•ฎ  melatonin supplement 0.31  ๐Ÿ“
luteolin (flavonoid) 0.308  ๐Ÿ“
retinoic acid,(Vitamin A derivative) 0.308
Theobromine (in food) 0.308
vitamin B3,niacin 0.308  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B6,pyridoxine hydrochloride 0.308  ๐Ÿ“
Arbutin (polyphenol) 0.308  ๐Ÿ“
diosmin,(polyphenol) 0.308  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B-12 0.299  ๐Ÿ“
๐Ÿ•ฎ  vitamin B7, biotin 0.291  ๐Ÿ“
Caffeine 0.286
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.271  ๐Ÿ“
Vitamin B9,folic acid 0.259  ๐Ÿ“
tea 0.251
sucralose 0.241  ๐Ÿ“
Guaiacol (polyphenol) 0.233
๐Ÿ•ฎ  garlic (allium sativum) 0.231  ๐Ÿ“
๐Ÿ•ฎ  thyme (thymol, thyme oil) 0.223
๐Ÿ•ฎ  high-fat diets 0.221
laminaria hyperborea( tangle/cuvie - seaweed) 0.219
chitosan,(sugar) 0.205  ๐Ÿ“
galla chinensis (herb) 0.192
neem 0.184  ๐Ÿ“
peppermint (spice, oil) 0.18
๐Ÿ•ฎ  hypericin, St. John's Wort 0.175
magnesium-deficient diet 0.175
Vitamin C (ascorbic acid) 0.167  ๐Ÿ“
Curcumin 0.136  ๐Ÿ“
laser trilobum l.,kefe cumin 0.136
low fodmap diet 0.134
trachyspermum ammi, Ajwain 0.133
glycyrrhizic acid (licorice) 0.129  ๐Ÿ“
low carbohydrate diet 0.126
๐Ÿ•ฎ  lactobacillus kefiri (NOT KEFIR) 0.122
foeniculum vulgare,fennel 0.122
syzygium aromaticum (clove) 0.119
Sumac(Rhus coriaria) 0.118
lemongrass oil 0.116
Umeboshi (Japanese Apricot or Prunus mume ) 0.114
Hawthorn [Crataegus monogyna Jacq.,Crataegus oxyacantha L] 0.113
mastic gum (prebiotic) 0.109  ๐Ÿ“
๐Ÿ•ฎ  vitamin d 0.108  ๐Ÿ“
salt (sodium chloride) 0.104
quercetin,resveratrol 0.103
carboxymethyl cellulose (prebiotic) 0.101
cinnamon (oil. spice) 0.098  ๐Ÿ“
nigella sativa seed (black cumin) 0.096  ๐Ÿ“
ascophyllum nodosum (sea weed) 0.094
linseed(flaxseed) 0.094  ๐Ÿ“
๐Ÿ•ฎ  high-saturated fat diet 0.091
high-protein diet 0.09
aloe vera 0.088
gluten-free diet 0.087
๐Ÿ•ฎ  jatropha curcas [can be poisonous] 0.086
oplopanax horridus(Devil's Club) 0.086
๐Ÿ•ฎ  Perilla frutescens(shiso) 0.085  ๐Ÿ“
annatto 0.084
bacillus laterosporus (probiotic) 0.084

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
๐Ÿ•ฎ  inulin (prebiotic) 1
arabinogalactan (prebiotic) 0.726
๐Ÿ•ฎ  fructo-oligosaccharides (prebiotic) 0.719
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.67
๐Ÿ•ฎ  lactulose 0.551
soy 0.532
raffinose(sugar beet) 0.503
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.501
๐Ÿ•ฎ  resveratrol (grape seed/polyphenols/red wine) 0.491
resistant starch 0.455
bacillus subtilis (probiotics) 0.449
apple 0.416
wheat bran 0.414
๐Ÿ•ฎ  Cacao 0.388
jerusalem artichoke (prebiotic) 0.382
๐Ÿ•ฎ  Burdock Root 0.372
๐Ÿ•ฎ  galacto-oligosaccharides (prebiotic) 0.35
almonds/ almond skins 0.337
sesame cake/meal 0.33
๐Ÿ•ฎ  Glucomannan 0.322
barley,oat 0.319
๐Ÿ•ฎ  lactobacillus acidophilus (probiotics) 0.298
red wine 0.297
๐Ÿ•ฎ  gum arabic (prebiotic) 0.292
clostridium butyricum (probiotics),Miya,Miyarisan 0.284
๐Ÿ•ฎ  pectin 0.269
Conjugated Linoleic Acid 0.262
mediterranean diet 0.26
Lactobacillus Johnsonii (probiotic) 0.256
fish oil 0.246
pomegranate 0.243
๐Ÿ•ฎ  lactobacillus plantarum,xylooligosaccharides,(prebiotic) (probiotics) 0.241
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.24
blueberry 0.238
๐Ÿ•ฎ  zinc 0.236
high fiber diet 0.233
Slippery Elm 0.228
magnesium 0.225
chondrus crispus,red sea weed 0.225
๐Ÿ•ฎ  noni 0.223
pea (fiber, protein) 0.222
plantago asiatica l. 0.214
daesiho-tang 0.211
๐Ÿ•ฎ  bifidobacterium lactis bb12 (probiotics) 0.209
green tea 0.209
barley 0.204
whey 0.199
wheat 0.195
walnuts 0.193
fasting 0.191
l-proline 0.191
ketogenic diet 0.19
๐Ÿ•ฎ  Pulses 0.189
vsl#3 (probiotics) 0.189
green-lipped mussel 0.188
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.183
๐Ÿ•ฎ  lactobacillus reuteri (probiotics) 0.179
quercetin 0.177
oats 0.169
๐Ÿ•ฎ  bifidobacterium bifidum (probiotics) 0.168
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.

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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