Prediction of microbial metabolism of phytochemicals using an in vitro colon model

Research output: Contribution to journalOther journal contributionScientific

Abstract

Human colon contains 1.5kg of microbiota, which actively takes part in the degradation and decomposition of the non-absorbable intake. Colonic microbiota changes by age, diet, intestinal diseases and medication causing intra-individual variation in the metabolite pool in addition to the inter-individual variation between subjects. However, a good correlation has been found for dietary phenolic microbial metabolites between the in vitro colon model1 and corresponding metabolite profiles from human body fluids. Traditional prediction of drug metabolism includes several in vitro test systems and animal trials. However, microbial metabolism in the colon is not generally used in the pre-clinical stage. To address these challenges, the developed batch in vitro colon mode can be coupled with an advanced metabolomics and bioinformatics platform that provide complementary pre-clinical data on the metabolites circulating in the human body.
Original languageEnglish
JournalPlanta Medica
Volume72
Issue number11
DOIs
Publication statusPublished - 2006
MoE publication typeNot Eligible
Event54th Annual Congress on Medicinal Plant Research - Helsinki, Finland
Duration: 29 Aug 20062 Sep 2006

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Phytochemicals
Metabolites
Metabolism
Colon
Microbiota
Human Body
Intestinal Diseases
Metabolomics
Body fluids
Body Fluids
Bioinformatics
Nutrition
Computational Biology
Animals
Diet
Decomposition
Degradation
In Vitro Techniques
Pharmaceutical Preparations

Cite this

@article{e368580cfc6c4237bef70066f74079a9,
title = "Prediction of microbial metabolism of phytochemicals using an in vitro colon model",
abstract = "Human colon contains 1.5kg of microbiota, which actively takes part in the degradation and decomposition of the non-absorbable intake. Colonic microbiota changes by age, diet, intestinal diseases and medication causing intra-individual variation in the metabolite pool in addition to the inter-individual variation between subjects. However, a good correlation has been found for dietary phenolic microbial metabolites between the in vitro colon model1 and corresponding metabolite profiles from human body fluids. Traditional prediction of drug metabolism includes several in vitro test systems and animal trials. However, microbial metabolism in the colon is not generally used in the pre-clinical stage. To address these challenges, the developed batch in vitro colon mode can be coupled with an advanced metabolomics and bioinformatics platform that provide complementary pre-clinical data on the metabolites circulating in the human body.",
author = "Anna-Marja Aura and Tuulikki Sepp{\"a}nen-Laakso and Catherine Bounsaythip and Matej Oresic and Kirsi-Marja Oksman-Caldentey",
note = "Only abstract published",
year = "2006",
doi = "10.1055/s-2006-950139",
language = "English",
volume = "72",
journal = "Planta Medica",
issn = "0032-0943",
publisher = "Georg Thieme Verlag",
number = "11",

}

Prediction of microbial metabolism of phytochemicals using an in vitro colon model. / Aura, Anna-Marja; Seppänen-Laakso, Tuulikki; Bounsaythip, Catherine; Oresic, Matej; Oksman-Caldentey, Kirsi-Marja.

In: Planta Medica, Vol. 72, No. 11, 2006.

Research output: Contribution to journalOther journal contributionScientific

TY - JOUR

T1 - Prediction of microbial metabolism of phytochemicals using an in vitro colon model

AU - Aura, Anna-Marja

AU - Seppänen-Laakso, Tuulikki

AU - Bounsaythip, Catherine

AU - Oresic, Matej

AU - Oksman-Caldentey, Kirsi-Marja

N1 - Only abstract published

PY - 2006

Y1 - 2006

N2 - Human colon contains 1.5kg of microbiota, which actively takes part in the degradation and decomposition of the non-absorbable intake. Colonic microbiota changes by age, diet, intestinal diseases and medication causing intra-individual variation in the metabolite pool in addition to the inter-individual variation between subjects. However, a good correlation has been found for dietary phenolic microbial metabolites between the in vitro colon model1 and corresponding metabolite profiles from human body fluids. Traditional prediction of drug metabolism includes several in vitro test systems and animal trials. However, microbial metabolism in the colon is not generally used in the pre-clinical stage. To address these challenges, the developed batch in vitro colon mode can be coupled with an advanced metabolomics and bioinformatics platform that provide complementary pre-clinical data on the metabolites circulating in the human body.

AB - Human colon contains 1.5kg of microbiota, which actively takes part in the degradation and decomposition of the non-absorbable intake. Colonic microbiota changes by age, diet, intestinal diseases and medication causing intra-individual variation in the metabolite pool in addition to the inter-individual variation between subjects. However, a good correlation has been found for dietary phenolic microbial metabolites between the in vitro colon model1 and corresponding metabolite profiles from human body fluids. Traditional prediction of drug metabolism includes several in vitro test systems and animal trials. However, microbial metabolism in the colon is not generally used in the pre-clinical stage. To address these challenges, the developed batch in vitro colon mode can be coupled with an advanced metabolomics and bioinformatics platform that provide complementary pre-clinical data on the metabolites circulating in the human body.

U2 - 10.1055/s-2006-950139

DO - 10.1055/s-2006-950139

M3 - Other journal contribution

VL - 72

JO - Planta Medica

JF - Planta Medica

SN - 0032-0943

IS - 11

ER -