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: DePaul University Fatigue Questionnaire : Difficulty reasoning things out_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) 0.525  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.398  ๐Ÿ“
Caffeine 0.381
Vitamin C (ascorbic acid) 0.377  ๐Ÿ“
Vitamin B9,folic acid 0.367  ๐Ÿ“
Arbutin (polyphenol) 0.357  ๐Ÿ“
๐Ÿ•ฎ  melatonin supplement 0.357  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B-12 0.357  ๐Ÿ“
Theobromine (in food) 0.357
luteolin (flavonoid) 0.357  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B6,pyridoxine hydrochloride 0.357  ๐Ÿ“
retinoic acid,(Vitamin A derivative) 0.357
diosmin,(polyphenol) 0.357  ๐Ÿ“
chitosan,(sugar) 0.357  ๐Ÿ“
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.349  ๐Ÿ“
๐Ÿ•ฎ  vitamin B7, biotin 0.327  ๐Ÿ“
vitamin B3,niacin 0.297  ๐Ÿ“
sucralose 0.29  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus casei (probiotics) 0.25  ๐Ÿ“
๐Ÿ•ฎ  garlic (allium sativum) 0.225  ๐Ÿ“
linseed(flaxseed) 0.217  ๐Ÿ“
low fodmap diet 0.215
Guaiacol (polyphenol) 0.194
low carbohydrate diet 0.176
๐Ÿ•ฎ  high-fat diets 0.172
magnesium-deficient diet 0.166
tea 0.15
peppermint (spice, oil) 0.15
gluten-free diet 0.146
Curcumin 0.138  ๐Ÿ“
ascophyllum nodosum (sea weed) 0.136
laminaria hyperborea( tangle/cuvie - seaweed) 0.133
๐Ÿ•ฎ  thyme (thymol, thyme oil) 0.127
๐Ÿ•ฎ  naringenin(grapefruit) (Flavonoid) 0.123
๐Ÿ•ฎ  bifidobacterium lactis,streptococcus thermophilus probiotic 0.119
Cranberry 0.117
cinnamon (oil. spice) 0.116  ๐Ÿ“
chitooligosaccharides (prebiotic) 0.115  ๐Ÿ“
Kimchi 0.115
๐Ÿ•ฎ  Tributyrin 0.112
๐Ÿ•ฎ  cannabinoids 0.112
broccoli 0.112
high-protein diet 0.108
galla rhois 0.106
๐Ÿ•ฎ  lauric acid(fatty acid in coconut oil,in palm kernel oil,) 0.101
momordia charantia(bitter melon, karela, balsam pear, or bitter gourd) 0.099
foeniculum vulgare,fennel 0.096
๐Ÿ•ฎ  high-saturated fat diet 0.094
๐Ÿ•ฎ  lactobacillus kefiri (NOT KEFIR) 0.093
๐Ÿ•ฎ  lactobacillus gasseri (probiotics) 0.091  ๐Ÿ“
๐Ÿ•ฎ  bifidobacterium longum bb536 (probiotics) 0.089
galla chinensis (herb) 0.089
red wine polyphenols 0.086  ๐Ÿ“
๐Ÿ•ฎ  Turmeric 0.083  ๐Ÿ“
anise 0.083  ๐Ÿ“
mastic gum (prebiotic) 0.083  ๐Ÿ“
๐Ÿ•ฎ  quebracho 0.078
l-glutamine 0.072  ๐Ÿ“
sorghum 0.07
Grapefruit seed extract 0.069

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
๐Ÿ•ฎ  inulin (prebiotic) 1
resistant starch 0.818
arabinogalactan (prebiotic) 0.633
Slippery Elm 0.584
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.526
red wine 0.501
soy 0.454
๐Ÿ•ฎ  fructo-oligosaccharides (prebiotic) 0.416
๐Ÿ•ฎ  resveratrol (grape seed/polyphenols/red wine) 0.357
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.355
๐Ÿ•ฎ  lactobacillus acidophilus (probiotics) 0.34
๐Ÿ•ฎ  Pulses 0.337
barley 0.337
resistant maltodextrin 0.301
wheat 0.301
jerusalem artichoke (prebiotic) 0.296
๐Ÿ•ฎ  berberine 0.291
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.281
triphala 0.271
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.265
๐Ÿ•ฎ  saccharomyces boulardii (probiotics) 0.256
๐Ÿ•ฎ  iron 0.255
๐Ÿ•ฎ  pectin 0.251
ketogenic diet 0.249
high fiber diet 0.246
sesame cake/meal 0.23
green tea 0.226
๐Ÿ•ฎ  Burdock Root 0.223
๐Ÿ•ฎ  lactulose 0.221
barley,oat 0.22
apple 0.22
almonds/ almond skins 0.219
wheat bran 0.218
blueberry 0.211
l-proline 0.209
non-starch polysaccharides 0.202
saccharin 0.199
clostridium butyricum (probiotics),Miya,Miyarisan 0.198
๐Ÿ•ฎ  Glucomannan 0.196
vegetarians 0.189
fish oil 0.187
raffinose(sugar beet) 0.184
chicory (prebiotic) 0.184
Conjugated Linoleic Acid 0.181
levan 0.179
partially hydrolysed guar gum,fructo-oligosaccharides (prebiotic) 0.177
๐Ÿ•ฎ  enterococcus faecium (probiotic) 0.175
chondrus crispus,red sea weed 0.173
bacillus subtilis (probiotics) 0.172
walnuts 0.172
dietary phytoestrogens (isoflavones) 0.171
gynostemma pentaphyllum (Jiaogulan) 0.168
๐Ÿ•ฎ  galacto-oligosaccharides (prebiotic) 0.165
mediterranean diet 0.161
fasting 0.16
oats 0.158
magnesium 0.158
navy bean 0.156
๐Ÿ•ฎ  lactobacillus rhamnosus gg (probiotics) 0.156
๐Ÿ•ฎ  ß-glucan 0.149
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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