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: Short-term memory issues_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  thyme (thymol, thyme oil) 0.938
foeniculum vulgare,fennel 0.894
cinnamon (oil. spice) 0.768  ๐Ÿ“
๐Ÿ•ฎ  garlic (allium sativum) 0.683  ๐Ÿ“
syzygium aromaticum (clove) 0.67
๐Ÿ•ฎ  Hesperidin (polyphenol) 0.655  ๐Ÿ“
laser trilobum l.,kefe cumin 0.652
๐Ÿ•ฎ  Vitamin B-12 0.623  ๐Ÿ“
neem 0.575  ๐Ÿ“
๐Ÿ•ฎ  hypericin, St. John's Wort 0.542
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.54  ๐Ÿ“
vitamin B3,niacin 0.533  ๐Ÿ“
Curcumin 0.525  ๐Ÿ“
oregano (origanum vulgare, oil) | 0.52
Caffeine 0.485
peppermint (spice, oil) 0.481
diosmin,(polyphenol) 0.469  ๐Ÿ“
retinoic acid,(Vitamin A derivative) 0.469
Arbutin (polyphenol) 0.469  ๐Ÿ“
Theobromine (in food) 0.469
๐Ÿ•ฎ  Vitamin B6,pyridoxine hydrochloride 0.469  ๐Ÿ“
luteolin (flavonoid) 0.469  ๐Ÿ“
rosmarinus officinalis,rosemary 0.447
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.441  ๐Ÿ“
Sumac(Rhus coriaria) 0.425
๐Ÿ•ฎ  vitamin B7, biotin 0.424  ๐Ÿ“
nigella sativa seed (black cumin) 0.424  ๐Ÿ“
oplopanax horridus(Devil's Club) 0.414
Guaiacol (polyphenol) 0.404
triphala 0.392  ๐Ÿ“
๐Ÿ•ฎ  jatropha curcas [can be poisonous] 0.385
Vitamin C (ascorbic acid) 0.366  ๐Ÿ“
salvia officinalis (sage) 0.363
๐Ÿ•ฎ  melatonin supplement 0.357  ๐Ÿ“
coriander oil 0.35
trachyspermum ammi, Ajwain 0.337
laminaria hyperborea( tangle/cuvie - seaweed) 0.328
galla chinensis (herb) 0.327
xylaria hypoxylon (fungi) 0.325
๐Ÿ•ฎ  lactobacillus rhamnosus gg (probiotics) 0.324  ๐Ÿ“
chitosan,(sugar) 0.31  ๐Ÿ“
tea 0.304
Umeboshi (Japanese Apricot or Prunus mume ) 0.293
kefir 0.292
bacillus laterosporus (probiotic) 0.286
glycyrrhizic acid (licorice) 0.253  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus casei (probiotics) 0.253  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.25  ๐Ÿ“
annatto 0.228
saccharin 0.22  ๐Ÿ“
lemongrass oil 0.215
๐Ÿ•ฎ  lactobacillus kefiri (NOT KEFIR) 0.214
๐Ÿ•ฎ  lactobacillus reuteri (probiotics) 0.213  ๐Ÿ“
schinus molle (herb) 0.207
๐Ÿ•ฎ  tulsi 0.206  ๐Ÿ“
olea europaea,olive leaf 0.206  ๐Ÿ“
๐Ÿ•ฎ  vitamin d 0.199  ๐Ÿ“
papaya 0.198
micromeria fruticosa,White-leaved Savory 0.197
sucralose 0.192  ๐Ÿ“

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
๐Ÿ•ฎ  inulin (prebiotic) 1
๐Ÿ•ฎ  resveratrol (grape seed/polyphenols/red wine) 0.892
๐Ÿ•ฎ  fructo-oligosaccharides (prebiotic) 0.852
arabinogalactan (prebiotic) 0.844
raffinose(sugar beet) 0.833
๐Ÿ•ฎ  lactulose 0.744
sesame cake/meal 0.607
wheat bran 0.592
aspartame (sweetner) 0.532
๐Ÿ•ฎ  Burdock Root 0.521
jerusalem artichoke (prebiotic) 0.493
almonds/ almond skins 0.481
navy bean 0.471
soy 0.449
Slippery Elm 0.447
apple 0.433
๐Ÿ•ฎ  galacto-oligosaccharides (prebiotic) 0.432
red wine 0.42
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.415
๐Ÿ•ฎ  Reduce choline (Beef, Chicken Eggs) 0.404
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.402
green-lipped mussel 0.385
barley,oat 0.379
bacillus subtilis (probiotics) 0.376
blueberry 0.338
vsl#3 (probiotics) 0.333
๐Ÿ•ฎ  gum arabic (prebiotic) 0.331
magnesium 0.331
Conjugated Linoleic Acid 0.321
๐Ÿ•ฎ  lactobacillus acidophilus (probiotics) 0.321
resistant starch 0.321
ku ding cha tea 0.319
daesiho-tang 0.309
๐Ÿ•ฎ  noni 0.309
๐Ÿ•ฎ  Pulses 0.301
high fiber diet 0.3
chondrus crispus,red sea weed 0.28
l-proline 0.274
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.265
mediterranean diet 0.262
pea (fiber, protein) 0.252
๐Ÿ•ฎ  galactose (milk sugar) 0.249
carob 0.236
non-starch polysaccharides 0.233
๐Ÿ•ฎ  pectin 0.232
๐Ÿ•ฎ  Glucomannan 0.223
grape polyphenols 0.216
fasting 0.216
sodium butyrate 0.211
dietary phytoestrogens (isoflavones) 0.203
fat 0.203
vitamin a 0.201
amaranth 0.201
fish oil 0.199
palm kernel meal 0.185
ketogenic diet 0.184
symbioflor 2 e.coli probiotics 0.18
plantago asiatica l. 0.175
๐Ÿ•ฎ  omega-3 fatty acids 0.174
Sijunzi decoction 0.174
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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