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:
Bacteria Selection:Outside of Range
Filter: From Special Studies V2: General:%20Fatigue_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.

With antibiotics, if there is no significant response, there may be antibiotic resistance. Bacteria do share resistance genes between themselves. Consider moving on to a different one, ideally a different family.

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

Summary of health impacts of top 15 suggestions
Modifier (Alt Names on Hover) Confidence ๐Ÿ“น
๐Ÿ•ฎ  metronidazole (antibiotic)s[CFS] 0.47
whole-grain barley 0.384  ๐Ÿ“
๐Ÿ•ฎ  imipenem (antibiotic)s 0.378
๐Ÿ•ฎ  lactobacillus kefiri (NOT KEFIR) 0.28
chitosan,(sugar) 0.278  ๐Ÿ“
๐Ÿ•ฎ  azithromycin,(antibiotic)s[CFS] 0.271  ๐Ÿ“
๐Ÿ•ฎ  amoxicillin (antibiotic)s[CFS] 0.27
๐Ÿ•ฎ  clindamycin (antibiotic)s[CFS] 0.262
๐Ÿ•ฎ  chloramphenicol (antibiotic)s 0.245
vitamin a 0.209  ๐Ÿ“
chicory (prebiotic) 0.196  ๐Ÿ“
๐Ÿ•ฎ  piperacillin-tazobactam (antibiotic)s 0.196
polymannuronic acid 0.193
mastic gum (prebiotic) 0.184  ๐Ÿ“
florfenicol 0.183
sucralose 0.177  ๐Ÿ“
๐Ÿ•ฎ  ofloxacin (antibiotic)s 0.175
๐Ÿ•ฎ  cannabinoids 0.173
๐Ÿ•ฎ  garlic (allium sativum) 0.169  ๐Ÿ“
fluoroquinolone (antibiotic)s 0.168
grape polyphenols 0.168
jerusalem artichoke (prebiotic) 0.159  ๐Ÿ“
๐Ÿ•ฎ  ornidazole (antibiotic)s 0.157
๐Ÿ•ฎ  benzylpenicillin sodium (antibiotic) 0.157
๐Ÿ•ฎ  moxifloxacin (antibiotic) 0.157
๐Ÿ•ฎ  sparfloxacin (antibiotic) 0.157
๐Ÿ•ฎ  lauric acid(fatty acid in coconut oil,in palm kernel oil,) 0.155
๐Ÿ•ฎ  norfloxacin (antibiotic)s 0.152
low carbohydrate diet 0.151
๐Ÿ•ฎ  resveratrol (grape seed/polyphenols/red wine) 0.15  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus reuteri (probiotics) 0.148  ๐Ÿ“
momordia charantia(bitter melon, karela, balsam pear, or bitter gourd) 0.146
clostridium butyricum (probiotics),Miya,Miyarisan 0.143  ๐Ÿ“
refined wheat breads 0.134
๐Ÿ•ฎ  cefoxitin (antibiotic)s 0.133
๐Ÿ•ฎ  dopamine (prescription) 0.131
polyphenols 0.128  ๐Ÿ“
epicatechin 0.127
(+)-catechin 0.127
๐Ÿ•ฎ  Nicotine, Nicotine Patch 0.126
quercetin 0.125  ๐Ÿ“
gluten-free diet 0.124
chitooligosaccharides (prebiotic) 0.121  ๐Ÿ“
ß-lactam (antibiotic)s 0.118
rare meat 0.118
high-protein diet 0.115
๐Ÿ•ฎ  florfenicol (antibiotic)s 0.113
๐Ÿ•ฎ  ß-glucan 0.112  ๐Ÿ“
๐Ÿ•ฎ  gentamicin (antibiotic)s 0.109
๐Ÿ•ฎ  doxycycline (antibiotic)s[CFS] 0.108
galla rhois 0.107
brown rice 0.106
๐Ÿ•ฎ  bifidobacterium longum bb536 (probiotics) 0.105
whey 0.103  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.099  ๐Ÿ“
๐Ÿ•ฎ  naringenin(grapefruit) (Flavonoid) 0.098
๐Ÿ•ฎ  Hesperidin (polyphenol) 0.098  ๐Ÿ“
sorghum 0.098
Curcumin 0.097  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus casei (probiotics) 0.095  ๐Ÿ“

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
๐Ÿ•ฎ  berberine 1
red wine 0.656
Slippery Elm 0.578
mediterranean diet 0.56
๐Ÿ•ฎ  Pulses 0.544
arabinogalactan (prebiotic) 0.51
l-citrulline 0.471
ketogenic diet 0.443
non-starch polysaccharides 0.4
resistant starch 0.395
navy bean 0.39
saccharin 0.384
๐Ÿ•ฎ  saccharomyces boulardii (probiotics) 0.364
xylan (prebiotic) 0.355
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.306
wheat bran 0.298
๐Ÿ•ฎ  pectin 0.269
cranberry bean flour 0.268
high red meat 0.256
stevia 0.251
apple 0.251
high carbohydrate diet 0.241
heme 0.241
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.24
gallic acid (food additive) 0.235
๐Ÿ•ฎ  galacto-oligosaccharides (prebiotic) 0.232
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.23
๐Ÿ•ฎ  Pumpkin 0.229
๐Ÿ•ฎ  acetylsalicylic acid,aspirin 0.229
๐Ÿ•ฎ  epinephrine 0.227
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.226
bacillus subtilis (probiotics) 0.216
๐Ÿ•ฎ  metformin (prescription) 0.216
Guaiacol (polyphenol) 0.211
animal-based diet 0.206
๐Ÿ•ฎ  bifidobacterium longum (probiotics) 0.198
๐Ÿ•ฎ  vitamin d 0.194
resistant maltodextrin 0.192
blackcurrant 0.191
vegetarians 0.188
low-fat diets 0.187
bile (acid/salts) 0.182
๐Ÿ•ฎ  lactobacillus acidophilus (probiotics) 0.175
pea (fiber, protein) 0.175
propionate 0.168
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.16
๐Ÿ•ฎ  Bofutsushosan 0.157
levan 0.155
l-proline 0.153
Alpha-Ketoglutarate 0.152
hydrogenated palm oil 0.143
tannic acid 0.142
hypocaloric hyperproteic diet 0.138
๐Ÿ•ฎ  Tributyrin 0.137
fibre-rich macrobiotic ma-pi 2 diet 0.131
๐Ÿ•ฎ  Bile Acid Sequestrant 0.13
soy 0.126
low protein diet 0.124
plantago asiatica l. 0.122
bacillus licheniformis,(probiotics) 0.121
NOTE: (Heparin, hyaluronan, or chondroitin sulfate) and Lactobacillus probiotics should not be taken concurrently.

This is an Academic site. It generates theoretical models of what may benefit a specific microbiome results.

Explanations/Info/Descriptions are influenced by Large Language Models and may not be accurate and include some hallucinations. Please report any to us for correction.

Copyright 2016-2024 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.