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: 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?

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) 0.524  ๐Ÿ“
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.438  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B-12 0.427  ๐Ÿ“
Caffeine 0.421
Theobromine (in food) 0.418
๐Ÿ•ฎ  Vitamin B6,pyridoxine hydrochloride 0.418  ๐Ÿ“
retinoic acid,(Vitamin A derivative) 0.418
diosmin,(polyphenol) 0.418  ๐Ÿ“
Arbutin (polyphenol) 0.418  ๐Ÿ“
vitamin B3,niacin 0.411  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.408  ๐Ÿ“
๐Ÿ•ฎ  vitamin B7, biotin 0.38  ๐Ÿ“
Guaiacol (polyphenol) 0.375
๐Ÿ•ฎ  melatonin supplement 0.368  ๐Ÿ“
luteolin (flavonoid) 0.361  ๐Ÿ“
Vitamin C (ascorbic acid) 0.318  ๐Ÿ“
๐Ÿ•ฎ  garlic (allium sativum) 0.281  ๐Ÿ“
tea 0.281
Vitamin B9,folic acid 0.277  ๐Ÿ“
sucralose 0.254  ๐Ÿ“
neem 0.223  ๐Ÿ“
laminaria hyperborea( tangle/cuvie - seaweed) 0.205
galla chinensis (herb) 0.205
๐Ÿ•ฎ  thyme (thymol, thyme oil) 0.205
magnesium-deficient diet 0.167
chitosan,(sugar) 0.154  ๐Ÿ“
๐Ÿ•ฎ  high-fat diets 0.148
gluten-free diet 0.141
๐Ÿ•ฎ  vitamin d 0.138  ๐Ÿ“
mastic gum (prebiotic) 0.137  ๐Ÿ“
peppermint (spice, oil) 0.134
low fodmap diet 0.134
๐Ÿ•ฎ  hypericin, St. John's Wort 0.133
schinus molle (herb) 0.13
cinnamon (oil. spice) 0.123  ๐Ÿ“
Curcumin 0.121  ๐Ÿ“
foeniculum vulgare,fennel 0.119
laser trilobum l.,kefe cumin 0.119
๐Ÿ•ฎ  lactobacillus kefiri (NOT KEFIR) 0.116
๐Ÿ•ฎ  high-saturated fat diet 0.108
๐Ÿ•ฎ  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  ๐Ÿ“
๐Ÿ•ฎ  bifidobacterium lactis,streptococcus thermophilus probiotic 0.092
trachyspermum ammi, Ajwain 0.088
rice 0.088
๐Ÿ•ฎ  lactobacillus salivarius (probiotics) 0.086  ๐Ÿ“
Umeboshi (Japanese Apricot or Prunus mume ) 0.085
lemongrass oil 0.084
๐Ÿ•ฎ  fluorine 0.082
sorghum 0.079
Krill Oil 0.078  ๐Ÿ“
Sumac(Rhus coriaria) 0.078
lacto-ovo-vegetarian diet 0.075
peganum harmala (rue) 0.069
๐Ÿ•ฎ  Dextrin 0.067  ๐Ÿ“

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
๐Ÿ•ฎ  inulin (prebiotic) 1
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.881
๐Ÿ•ฎ  fructo-oligosaccharides (prebiotic) 0.842
arabinogalactan (prebiotic) 0.67
soy 0.585
๐Ÿ•ฎ  lactulose 0.552
๐Ÿ•ฎ  resveratrol (grape seed/polyphenols/red wine) 0.527
raffinose(sugar beet) 0.477
resistant starch 0.459
๐Ÿ•ฎ  lactobacillus acidophilus (probiotics) 0.448
๐Ÿ•ฎ  Glucomannan 0.4
wheat bran 0.385
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.374
jerusalem artichoke (prebiotic) 0.373
๐Ÿ•ฎ  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
๐Ÿ•ฎ  pectin 0.285
Slippery Elm 0.277
๐Ÿ•ฎ  gum arabic (prebiotic) 0.277
red wine 0.266
barley,oat 0.259
mediterranean diet 0.257
๐Ÿ•ฎ  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
๐Ÿ•ฎ  Burdock Root 0.221
๐Ÿ•ฎ  lactobacillus plantarum,xylooligosaccharides,(prebiotic) (probiotics) 0.22
ketogenic diet 0.218
๐Ÿ•ฎ  Pulses 0.209
๐Ÿ•ฎ  zinc 0.208
green tea 0.206
๐Ÿ•ฎ  bifidobacterium bifidum (probiotics) 0.203
๐Ÿ•ฎ  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
๐Ÿ•ฎ  galactose (milk sugar) 0.18
vsl#3 (probiotics) 0.175
๐Ÿ•ฎ  Reduce choline (Beef, Chicken Eggs) 0.169
plantago asiatica l. 0.167
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.164
๐Ÿ•ฎ  lactobacillus paracasei (probiotics) 0.163
d-ribose 0.161
๐Ÿ•ฎ  lactobacillus rhamnosus (probiotics) 0.16
๐Ÿ•ฎ  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.
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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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