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: Onset: Sudden_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


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  thyme (thymol, thyme oil) 0.763
foeniculum vulgare,fennel 0.67
cinnamon (oil. spice) 0.647  ๐Ÿ“
oregano (origanum vulgare, oil) | 0.532
syzygium aromaticum (clove) 0.493
rosmarinus officinalis,rosemary 0.48
Vitamin B9,folic acid 0.45  ๐Ÿ“
๐Ÿ•ฎ  garlic (allium sativum) 0.41  ๐Ÿ“
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.41  ๐Ÿ“
Caffeine 0.407
peppermint (spice, oil) 0.389
nigella sativa seed (black cumin) 0.381  ๐Ÿ“
๐Ÿ•ฎ  Hesperidin (polyphenol) 0.378  ๐Ÿ“
salvia officinalis (sage) 0.362
neem 0.331  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.313  ๐Ÿ“
trachyspermum ammi, Ajwain 0.296
Curcumin 0.281  ๐Ÿ“
green tea 0.277
sucralose 0.275  ๐Ÿ“
chitosan,(sugar) 0.271  ๐Ÿ“
lemongrass oil 0.271
๐Ÿ•ฎ  lactobacillus kefiri (NOT KEFIR) 0.255
retinoic acid,(Vitamin A derivative) 0.254
๐Ÿ•ฎ  melatonin supplement 0.254  ๐Ÿ“
luteolin (flavonoid) 0.254  ๐Ÿ“
Arbutin (polyphenol) 0.254  ๐Ÿ“
diosmin,(polyphenol) 0.254  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B-12 0.254  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B6,pyridoxine hydrochloride 0.254  ๐Ÿ“
๐Ÿ•ฎ  vitamin B7, biotin 0.254  ๐Ÿ“
Theobromine (in food) 0.254
quercetin 0.248  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus casei (probiotics) 0.246  ๐Ÿ“
๐Ÿ•ฎ  Cacao 0.233  ๐Ÿ“
๐Ÿ•ฎ  jatropha curcas [can be poisonous] 0.228
coriander oil 0.225
olea europaea,olive leaf 0.222  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus salivarius (probiotics) 0.22  ๐Ÿ“
๐Ÿ•ฎ  bifidobacterium animalis lactis (probiotics) 0.209  ๐Ÿ“
rhubarb 0.204
oplopanax horridus(Devil's Club) 0.203
peganum harmala (rue) 0.197
๐Ÿ•ฎ  Glucomannan 0.197  ๐Ÿ“
bacopa monnieri 0.197  ๐Ÿ“
momordia charantia(bitter melon, karela, balsam pear, or bitter gourd) 0.195
laser trilobum l.,kefe cumin 0.176
larrea tridentata( creosote bush, greasewood) 0.172
coleus forskohlii 0.172
eucalyptus globulus,Tasmanian blue gum 0.172
clostridium butyricum (probiotics),Miya,Miyarisan 0.172  ๐Ÿ“
galla chinensis (herb) 0.168
galla rhois 0.168
rosa rugosa 0.168
pediococcus acidilactic (probiotic) 0.168
catechins (from tea/wine) 0.167
vitamin B3,niacin 0.167  ๐Ÿ“
Clove 0.165
Trigonelline (found in Coffee) 0.165
Uva Ursi 0.164

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
Slippery Elm 1
resistant starch 0.815
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.576
๐Ÿ•ฎ  saccharomyces boulardii (probiotics) 0.444
arabinogalactan (prebiotic) 0.435
red wine 0.37
๐Ÿ•ฎ  Pulses 0.366
๐Ÿ•ฎ  inulin (prebiotic) 0.31
saccharin 0.306
triphala 0.303
resistant maltodextrin 0.269
xylan (prebiotic) 0.244
wheat bran 0.221
soy 0.214
๐Ÿ•ฎ  lactobacillus rhamnosus gg (probiotics) 0.206
high red meat 0.193
๐Ÿ•ฎ  Reduce choline (Beef, Chicken Eggs) 0.189
animal-based diet 0.186
๐Ÿ•ฎ  bifidobacterium catenulatum,(probiotics) 0.184
apple 0.183
l-citrulline 0.175
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.175
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.174
๐Ÿ•ฎ  bifidobacterium pseudocatenulatum,(probiotics) 0.174
fasting 0.173
Miso 0.171
๐Ÿ•ฎ  bifidobacterium longum (probiotics) 0.168
high fiber diet 0.165
๐Ÿ•ฎ  bifidobacterium adolescentis,(probiotics) 0.163
stevia 0.161
๐Ÿ•ฎ  chlorine 0.158
vegetarians 0.158
levan 0.158
non-starch polysaccharides 0.156
Cottage Cheese 0.153
Fish Sauce 0.152
bacillus subtilis (probiotics) 0.152
gynostemma pentaphyllum (Jiaogulan) 0.151
Cayenne 0.149
Astragalus 0.149
๐Ÿ•ฎ  galacto-oligosaccharides (prebiotic) 0.148
Pickle juice 0.144
Carrot (juice) 0.144
salt (sodium chloride) 0.144
๐Ÿ•ฎ  Burdock Root 0.143
๐Ÿ•ฎ  pectin 0.14
barley 0.139
๐Ÿ•ฎ  quebracho 0.139
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.136
plantago asiatica l. 0.131
hypocaloric hyperproteic diet 0.13
fibre-rich macrobiotic ma-pi 2 diet 0.13
fish oil 0.13
๐Ÿ•ฎ  mulberry fruit polysaccharide 0.129
low-fat diets 0.128
sodium butyrate 0.123
bacillus coagulans (probiotics) 0.118
high salt 0.117
Pork 0.111
๐Ÿ•ฎ  potatoes 0.111
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.
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)