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: Neurological: fasciculations _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) 0.524  📏
🕮  N-Acetyl Cysteine (NAC), 0.438  📏
🕮  Vitamin B-12 0.427  📏
Caffeine 0.421
Theobromine (in food) 0.418
🕮  Vitamin B6,pyridoxine hydrochloride 0.418  📏
retinoic acid,(Vitamin A derivative) 0.418
diosmin,(polyphenol) 0.418  📏
Arbutin (polyphenol) 0.418  📏
vitamin B3,niacin 0.411  📏
🕮  Vitamin B1,thiamine hydrochloride 0.408  📏
🕮  vitamin B7, biotin 0.38  📏
Guaiacol (polyphenol) 0.375
🕮  melatonin supplement 0.368  📏
luteolin (flavonoid) 0.361  📏
Vitamin C (ascorbic acid) 0.318  📏
🕮  garlic (allium sativum) 0.281  📏
tea 0.281
Vitamin B9,folic acid 0.277  📏
sucralose 0.254  📏
neem 0.223  📏
laminaria hyperborea( tangle/cuvie - seaweed) 0.205
galla chinensis (herb) 0.205
🕮  thyme (thymol, thyme oil) 0.205
magnesium-deficient diet 0.167
chitosan,(sugar) 0.154  📏
🕮  high-fat diets 0.148
gluten-free diet 0.141
🕮  vitamin d 0.138  📏
mastic gum (prebiotic) 0.137  📏
peppermint (spice, oil) 0.134
low fodmap diet 0.134
🕮  hypericin, St. John's Wort 0.133
schinus molle (herb) 0.13
cinnamon (oil. spice) 0.123  📏
Curcumin 0.121  📏
foeniculum vulgare,fennel 0.119
laser trilobum l.,kefe cumin 0.119
🕮  lactobacillus kefiri (NOT KEFIR) 0.116
🕮  high-saturated fat diet 0.108
🕮  jatropha curcas [can be poisonous] 0.106
oplopanax horridus(Devil's Club) 0.106
low carbohydrate diet 0.101
ascophyllum nodosum (sea weed) 0.1
vegetarians 0.097
syzygium aromaticum (clove) 0.094
nigella sativa seed (black cumin) 0.093  📏
🕮  bifidobacterium lactis,streptococcus thermophilus probiotic 0.092
trachyspermum ammi, Ajwain 0.088
rice 0.088
🕮  lactobacillus salivarius (probiotics) 0.086  📏
Umeboshi (Japanese Apricot or Prunus mume ) 0.085
lemongrass oil 0.084
🕮  fluorine 0.082
sorghum 0.079
Krill Oil 0.078  📏
Sumac(Rhus coriaria) 0.078
lacto-ovo-vegetarian diet 0.075
peganum harmala (rue) 0.069
🕮  Dextrin 0.067  📏

To Remove or Decrease
Modifier Confidence 📹
🕮  inulin (prebiotic) 1
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.881
🕮  fructo-oligosaccharides (prebiotic) 0.842
arabinogalactan (prebiotic) 0.67
soy 0.585
🕮  lactulose 0.552
🕮  resveratrol (grape seed/polyphenols/red wine) 0.527
raffinose(sugar beet) 0.477
resistant starch 0.459
🕮  lactobacillus acidophilus (probiotics) 0.448
🕮  Glucomannan 0.4
wheat bran 0.385
🕮  lactobacillus plantarum (probiotics) 0.374
jerusalem artichoke (prebiotic) 0.373
🕮  galacto-oligosaccharides (prebiotic) 0.364
bacillus subtilis (probiotics) 0.359
blueberry 0.354
apple 0.337
almonds/ almond skins 0.323
sesame cake/meal 0.303
fasting 0.296
🕮  pectin 0.285
Slippery Elm 0.277
🕮  gum arabic (prebiotic) 0.277
red wine 0.266
barley,oat 0.259
mediterranean diet 0.257
🕮  oligosaccharides (prebiotic) 0.245
chondrus crispus,red sea weed 0.244
whey 0.241
fish oil 0.24
wheat 0.233
Conjugated Linoleic Acid 0.232
ku ding cha tea 0.231
🕮  Burdock Root 0.221
🕮  lactobacillus plantarum,xylooligosaccharides,(prebiotic) (probiotics) 0.22
ketogenic diet 0.218
🕮  Pulses 0.209
🕮  zinc 0.208
green tea 0.206
🕮  bifidobacterium bifidum (probiotics) 0.203
🕮  bifidobacterium lactis bb12 (probiotics) 0.202
daesiho-tang 0.201
clostridium butyricum (probiotics),Miya,Miyarisan 0.198
high fiber diet 0.198
magnesium 0.196
oats 0.194
pomegranate 0.187
partially hydrolysed guar gum,fructo-oligosaccharides (prebiotic) 0.187
pea (fiber, protein) 0.18
🕮  galactose (milk sugar) 0.18
vsl#3 (probiotics) 0.175
🕮  Reduce choline (Beef, Chicken Eggs) 0.169
plantago asiatica l. 0.167
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.164
🕮  lactobacillus paracasei (probiotics) 0.163
d-ribose 0.161
🕮  lactobacillus rhamnosus (probiotics) 0.16
🕮  lactobacillus fermentum (probiotics) 0.16
aspartame (sweetner) 0.159
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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