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 : Allergies_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) 0.604  📏
🕮  N-Acetyl Cysteine (NAC), 0.592  📏
Caffeine 0.579
🕮  Vitamin B-12 0.566  📏
🕮  Vitamin B1,thiamine hydrochloride 0.565  📏
Vitamin C (ascorbic acid) 0.519  📏
🕮  Vitamin B6,pyridoxine hydrochloride 0.515  📏
Theobromine (in food) 0.515
luteolin (flavonoid) 0.515  📏
retinoic acid,(Vitamin A derivative) 0.515
diosmin,(polyphenol) 0.515  📏
Arbutin (polyphenol) 0.515  📏
vitamin B3,niacin 0.502  📏
🕮  vitamin B7, biotin 0.5  📏
🕮  garlic (allium sativum) 0.5  📏
🕮  melatonin supplement 0.497  📏
Vitamin B9,folic acid 0.397  📏
Guaiacol (polyphenol) 0.359
cinnamon (oil. spice) 0.33  📏
🕮  lactobacillus casei (probiotics) 0.314  📏
neem 0.288  📏
sucralose 0.281  📏
peppermint (spice, oil) 0.281
🕮  lactobacillus paracasei (probiotics) 0.24  📏
🕮  thyme (thymol, thyme oil) 0.234
whole-grain barley 0.23  📏
🕮  lactobacillus reuteri (probiotics) 0.22  📏
galla chinensis (herb) 0.217
foeniculum vulgare,fennel 0.203
Curcumin 0.203  📏
whey 0.202  📏
chitosan,(sugar) 0.195  📏
🕮  lactobacillus kefiri (NOT KEFIR) 0.188
rosmarinus officinalis,rosemary 0.173
🕮  lauric acid(fatty acid in coconut oil,in palm kernel oil,) 0.169
momordia charantia(bitter melon, karela, balsam pear, or bitter gourd) 0.163
glycyrrhizic acid (licorice) 0.149  📏
🕮  enterococcus faecium (probiotic) 0.148  📏
Cranberry 0.146
tea 0.143
clostridium butyricum (probiotics),Miya,Miyarisan 0.142  📏
aloe vera 0.137
lemongrass oil 0.137
laminaria hyperborea( tangle/cuvie - seaweed) 0.134
laser trilobum l.,kefe cumin 0.133
vegetable/fruit juice-based diets 0.13
🕮  tulsi 0.128  📏
🕮  cannabinoids 0.125
🕮  lactobacillus salivarius (probiotics) 0.124  📏
🕮  bifidobacterium longum bb536 (probiotics) 0.123
pediococcus acidilactic (probiotic) 0.12
high animal protein diet 0.116
rosa rugosa 0.116
mutaflor escherichia coli nissle 1917 (probiotics) 0.115  📏
🕮  bifidobacterium animalis lactis (probiotics) 0.11  📏
trachyspermum ammi, Ajwain 0.109
Sumac(Rhus coriaria) 0.109
syzygium aromaticum (clove) 0.109
pomegranate 0.109  📏
oregano (origanum vulgare, oil) | 0.109

To Remove or Decrease
Modifier Confidence 📹
Slippery Elm 1
🕮  inulin (prebiotic) 0.753
🕮  berberine 0.583
arabinogalactan (prebiotic) 0.568
red wine 0.515
non-starch polysaccharides 0.352
xylan (prebiotic) 0.338
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.333
🕮  Pulses 0.323
resistant starch 0.319
🕮  saccharomyces boulardii (probiotics) 0.311
triphala 0.295
wheat bran 0.293
🕮  lactulose 0.265
saccharin 0.254
🕮  zinc 0.253
l-citrulline 0.24
mediterranean diet 0.238
gallic acid (food additive) 0.229
resistant maltodextrin 0.217
🕮  galacto-oligosaccharides (prebiotic) 0.2
apple 0.199
🕮  pectin 0.194
🕮  vitamin d 0.193
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.192
ku ding cha tea 0.192
fasting 0.179
gynostemma pentaphyllum (Jiaogulan) 0.179
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.17
🕮  oligosaccharides (prebiotic) 0.163
levan 0.154
barley,oat 0.151
high red meat 0.142
hypocaloric hyperproteic diet 0.139
pea (fiber, protein) 0.137
low-fat diets 0.133
ketogenic diet 0.13
vsl#3 (probiotics) 0.128
raffinose(sugar beet) 0.122
plantago asiatica l. 0.116
animal-based diet 0.115
palm kernel meal 0.115
🕮  fructo-oligosaccharides (prebiotic) 0.114
partially hydrolysed guar gum,fructo-oligosaccharides (prebiotic) 0.113
l-proline 0.113
fish oil 0.112
green-lipped mussel 0.107
grape seed extract 0.106
almonds/ almond skins 0.106
🕮  bifidobacterium longum (probiotics) 0.105
vegetarians 0.104
amaranth 0.103
red alga Laurencia tristicha 0.103
symbioflor 2 e.coli probiotics 0.102
slow digestible carbohydrates 0.102
chondrus crispus,red sea weed 0.101
🕮  galactose (milk sugar) 0.101
walnuts 0.097
propionate 0.096
coptis chinensis, Chinese goldthread 0.096
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.
This site is not Health Insurance Portability and Accountability Act of 1996 (HIPAA) compliant.


The awesome web hosting site that we use. Try it if you need to host (or unhappy with current provider)