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: DePaul University Fatigue Questionnaire : Post-exertional malaise, feeling worse after doing activities that require either physical or mental exertion_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 📹
foeniculum vulgare,fennel 0.886
🕮  garlic (allium sativum) 0.751  📏
vitamin B3,niacin 0.74  📏
🕮  Hesperidin (polyphenol) 0.701  📏
🕮  N-Acetyl Cysteine (NAC), 0.686  📏
Caffeine 0.682
🕮  Vitamin B-12 0.665  📏
🕮  Vitamin B1,thiamine hydrochloride 0.613  📏
🕮  lactobacillus reuteri (probiotics) 0.603  📏
🕮  vitamin B7, biotin 0.594  📏
Arbutin (polyphenol) 0.594  📏
retinoic acid,(Vitamin A derivative) 0.594
diosmin,(polyphenol) 0.594  📏
Theobromine (in food) 0.594
luteolin (flavonoid) 0.594  📏
🕮  Vitamin B6,pyridoxine hydrochloride 0.594  📏
neem 0.551  📏
cinnamon (oil. spice) 0.55  📏
🕮  melatonin supplement 0.529  📏
Guaiacol (polyphenol) 0.474
whey 0.463  📏
peppermint (spice, oil) 0.46
Curcumin 0.439  📏
🕮  lactobacillus paracasei (probiotics) 0.438  📏
🕮  thyme (thymol, thyme oil) 0.435
🕮  lactobacillus casei (probiotics) 0.426  📏
rosmarinus officinalis,rosemary 0.424
Vitamin B9,folic acid 0.415  📏
galla chinensis (herb) 0.38
🕮  lactobacillus kefiri (NOT KEFIR) 0.376
Vitamin C (ascorbic acid) 0.34  📏
sucralose 0.336  📏
nigella sativa seed (black cumin) 0.324  📏
barley 0.321  📏
mastic gum (prebiotic) 0.319  📏
whole-grain barley 0.313  📏
🕮  hypericin, St. John's Wort 0.308
epicatechin 0.294
(+)-catechin 0.287
syzygium aromaticum (clove) 0.285
laser trilobum l.,kefe cumin 0.279
soy 0.275  📏
glycyrrhizic acid (licorice) 0.264  📏
clostridium butyricum (probiotics),Miya,Miyarisan 0.26  📏
aloe vera 0.258
Sumac(Rhus coriaria) 0.258
trachyspermum ammi, Ajwain 0.258
🕮  lauric acid(fatty acid in coconut oil,in palm kernel oil,) 0.251
🕮  bifidobacterium longum bb536 (probiotics) 0.251
oplopanax horridus(Devil's Club) 0.24
xylaria hypoxylon (fungi) 0.237
tea 0.237
lemongrass oil 0.236
olea europaea,olive leaf 0.232  📏
🕮  jatropha curcas [can be poisonous] 0.23
chitosan,(sugar) 0.23  📏
laminaria hyperborea( tangle/cuvie - seaweed) 0.226
🕮  lactobacillus casei shirota (probiotics) 0.226  📏
momordia charantia(bitter melon, karela, balsam pear, or bitter gourd) 0.217
🕮  enterococcus faecium (probiotic) 0.214  📏

To Remove or Decrease
Modifier Confidence 📹
🕮  berberine 1
arabinogalactan (prebiotic) 0.823
aspartame (sweetner) 0.735
red wine 0.668
Slippery Elm 0.63
🕮  Pulses 0.614
🕮  lactulose 0.537
xylan (prebiotic) 0.498
mediterranean diet 0.492
non-starch polysaccharides 0.491
l-citrulline 0.418
🕮  saccharomyces boulardii (probiotics) 0.374
vsl#3 (probiotics) 0.367
wheat bran 0.359
🕮  inulin (prebiotic) 0.357
ketogenic diet 0.345
raffinose(sugar beet) 0.329
🕮  oligosaccharides (prebiotic) 0.316
gynostemma pentaphyllum (Jiaogulan) 0.309
🕮  Reduce choline (Beef, Chicken Eggs) 0.303
apple 0.292
🕮  galacto-oligosaccharides (prebiotic) 0.291
ku ding cha tea 0.272
chondrus crispus,red sea weed 0.267
fat 0.254
pea (fiber, protein) 0.234
barley,oat 0.233
🕮  pectin 0.233
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.225
resistant maltodextrin 0.223
green-lipped mussel 0.221
cranberry bean flour 0.218
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.217
low protein diet 0.213
resistant starch 0.211
🕮  Exercise 0.206
gallic acid (food additive) 0.205
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.205
fish oil 0.204
high carbohydrate diet 0.201
levan 0.2
l-proline 0.198
palm kernel meal 0.196
navy bean 0.192
low-fat diets 0.181
saccharin 0.18
propionate 0.168
sarcodiotheca gaudichaudii (red sea weed) 0.166
linseed(flaxseed) 0.164
high red meat 0.163
coptis chinensis, Chinese goldthread 0.163
🕮  alcoholic beverages 0.163
blueberry 0.16
amaranth 0.16
Ferric citrate 0.157
Sijunzi decoction 0.156
blackcurrant 0.151
🕮  lactobacillus gasseri (probiotics) 0.149
fasting 0.147
symbioflor 2 e.coli probiotics 0.142
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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