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: Neuropathy _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

Modifier (Alt Names on Hover) Confidence ๐Ÿ“น
๐Ÿ•ฎ  gentamicin (antibiotic)s 1
๐Ÿ•ฎ  amikacin (antibiotic)s 0.914
๐Ÿ•ฎ  imipenem (antibiotic)s 0.689
Vitamin B9,folic acid 0.682  ๐Ÿ“
๐Ÿ•ฎ  metronidazole (antibiotic)s[CFS] 0.679
fluoroquinolone (antibiotic)s 0.654
Vitamin C (ascorbic acid) 0.645  ๐Ÿ“
๐Ÿ•ฎ  rifaximin (antibiotic)s 0.612  ๐Ÿ“
๐Ÿ•ฎ  trimethoprim (antibiotic)s 0.599
๐Ÿ•ฎ  acarbose,(prescription) 0.591
๐Ÿ•ฎ  piperacillin-tazobactam (antibiotic)s 0.586
๐Ÿ•ฎ  neomycin (antibiotic)s[CFS] 0.548
๐Ÿ•ฎ  benzylpenicillin sodium (antibiotic) 0.541
๐Ÿ•ฎ  Hesperidin (polyphenol) 0.538  ๐Ÿ“
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.506  ๐Ÿ“
neem 0.494  ๐Ÿ“
๐Ÿ•ฎ  ofloxacin (antibiotic)s 0.492
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.492  ๐Ÿ“
๐Ÿ•ฎ  dopamine (prescription) 0.486
๐Ÿ•ฎ  tobramycin (antibiotic)s 0.48
๐Ÿ•ฎ  thyme (thymol, thyme oil) 0.479
๐Ÿ•ฎ  norfloxacin (antibiotic)s 0.476
๐Ÿ•ฎ  azithromycin,(antibiotic)s[CFS] 0.476  ๐Ÿ“
Bismuth Salts 0.474
๐Ÿ•ฎ  risperidone,(prescription) 0.472
Caffeine 0.47
prednisone,(prescription) 0.46
๐Ÿ•ฎ  cefoxitin (antibiotic)s 0.459
๐Ÿ•ฎ  loperamide hydrochloride,(prescription) 0.454
๐Ÿ•ฎ  lactobacillus casei (probiotics) 0.444  ๐Ÿ“
๐Ÿ•ฎ  reboxetine mesylate,(prescription) 0.438
๐Ÿ•ฎ  streptomycin (antibiotic)s 0.438
whole-grain barley 0.436  ๐Ÿ“
๐Ÿ•ฎ  atorvastatin (prescription) 0.435  ๐Ÿ“
๐Ÿ•ฎ  itraconazole,(prescription) 0.426
๐Ÿ•ฎ  sulfamethoxazole (antibiotic) 0.425
๐Ÿ•ฎ  celecoxib,(prescription) 0.422
๐Ÿ•ฎ  hydrochlorothiazide,(prescription) 0.422
lorglumide sodium salt non-drug 0.422
famprofazone,(prescription) 0.422
๐Ÿ•ฎ  nicardipine hydrochloride,(prescription) 0.422
๐Ÿ•ฎ  cilostazol,(prescription) 0.422
๐Ÿ•ฎ  montelukast,(prescription) 0.422
thyroxine (l),(prescription) 0.422
๐Ÿ•ฎ  methazolamide,(prescription) 0.422
๐Ÿ•ฎ  metyrapone,(prescription) 0.422
ampyrone non-drug 0.422
๐Ÿ•ฎ  alprenolol hydrochloride,(prescription) 0.422
๐Ÿ•ฎ  gabexate mesilate non-drug 0.422
๐Ÿ•ฎ  dacarbazine,(prescription) 0.422
๐Ÿ•ฎ  levodopa,(prescription) 0.422
๐Ÿ•ฎ  ranolazine,(prescription) 0.422
diphenidol hydrochloride,(prescription) 0.422
tetrahydrozoline hydrochloride,(prescription) 0.422
๐Ÿ•ฎ  mitotane,(prescription) 0.422
๐Ÿ•ฎ  Racetams 0.422  ๐Ÿ“
pirenperone non-drug 0.422
๐Ÿ•ฎ  aceclidine hydrochloride,(prescription) 0.422
๐Ÿ•ฎ  hymecromone,(prescription) 0.422
๐Ÿ•ฎ  primidone,(prescription) 0.422

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
๐Ÿ•ฎ  berberine 0.82
๐Ÿ•ฎ  inulin (prebiotic) 0.818
arabinogalactan (prebiotic) 0.636
xylan (prebiotic) 0.522
wheat bran 0.52
Slippery Elm 0.491
red wine 0.458
๐Ÿ•ฎ  pectin 0.458
non-starch polysaccharides 0.457
๐Ÿ•ฎ  Pumpkin 0.407
resistant starch 0.404
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.382
gallic acid (food additive) 0.37
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.369
apple 0.361
๐Ÿ•ฎ  Bile Acid Sequestrant 0.359
๐Ÿ•ฎ  Pulses 0.335
๐Ÿ•ฎ  galacto-oligosaccharides (prebiotic) 0.331
๐Ÿ•ฎ  Bofutsushosan 0.311
vegetarians 0.292
fish oil 0.282
bacillus amyloliquefaciens (probiotic) 0.281
l-citrulline 0.279
fasting 0.261
stevia 0.261
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.252
low-fat diets 0.252
๐Ÿ•ฎ  Moringa Oleifera 0.246
resistant maltodextrin 0.244
bacillus licheniformis,(probiotics) 0.227
๐Ÿ•ฎ  bifidobacterium longum (probiotics) 0.223
high red meat 0.223
๐Ÿ•ฎ  Olive Oil 0.221
low protein diet 0.215
๐Ÿ•ฎ  banana 0.205
barley 0.196
moderate-protein moderate-carbohydrate 0.195
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.189
๐Ÿ•ฎ  glycerol monolaurate (Monolaurin) 0.185
rice bran 0.184
saccharin 0.183
ginko 0.182
Alpha-Ketoglutarate 0.18
ketogenic diet 0.175
nuts 0.174
levan 0.17
๐Ÿ•ฎ  galactose (milk sugar) 0.165
๐Ÿ•ฎ  owning pet 0.164
fibre-rich macrobiotic ma-pi 2 diet 0.16
almonds/ almond skins 0.154
hypocaloric hyperproteic diet 0.152
mediterranean diet 0.149
๐Ÿ•ฎ  lactobacillus rhamnosus (probiotics) 0.148
๐Ÿ•ฎ  partially hydrolyzed guar gum 0.145
plantago asiatica l. 0.144
propionate 0.144
๐Ÿ•ฎ  Glucomannan 0.144
๐Ÿ•ฎ  emblica officinalis 0.143
camelina seed 0.141
๐Ÿ•ฎ  lactobacillus acidophilus (probiotics) 0.14
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.

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)