J 2019

The Pathosome: A Dynamic Three-Dimensional View of Disease-Environment Interaction

LENÁRT, Peter, Martin SCHERINGER and Julie DOBROVOLNÁ

Basic information

Original name

The Pathosome: A Dynamic Three-Dimensional View of Disease-Environment Interaction

Authors

LENÁRT, Peter (703 Slovakia, belonging to the institution), Martin SCHERINGER (756 Switzerland, belonging to the institution) and Julie DOBROVOLNÁ (203 Czech Republic, guarantor, belonging to the institution)

Edition

BIOESSAYS, HOBOKEN, WILEY, 2019, 0265-9247

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10602 Biology , Evolutionary biology

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Impact factor

Impact factor: 4.631

RIV identification code

RIV/00216224:14310/19:00110768

Organization unit

Faculty of Science

UT WoS

000474783900008

Keywords in English

disease; environment; health; pathosome; phenotype; preconditioning

Tags

International impact, Reviewed
Změněno: 24/3/2020 14:32, Mgr. Marie Šípková, DiS.

Abstract

V originále

Most contemporary models of disease development consider the interaction between genotype and environment as static. The authors argue that because time is a key factor in genotype-environment interaction, this approach oversimplifies the pathology analysis and may lead to wrong conclusions. In reviewing the field, the authors suggest that the history of genotype-environment interactions plays an important role in the development of diseases and that this history may be analyzed using the phenotype as a proxy. Furthermore, a theoretical and experimental framework is proposed based on the assumption that phenotypes do not change from one to another randomly but are interconnected and follow certain phenotype trajectories. It then follows that analysis of such phenotype trajectories might be useful to predict the future phenotypes including the onset of disease. In addition, an analysis of phenotype trajectories can be subsequently used to choose better control subjects in comparative studies reducing noise and bias in studies investigating disease mechanisms.

Links

EF15_003/0000469, research and development project
Name: Cetocoen Plus
EF16_013/0001761, research and development project
Name: RECETOX RI
LM2015051, research and development project
Name: Centrum pro výzkum toxických látek v prostředí (Acronym: RECETOX RI)
Investor: Ministry of Education, Youth and Sports of the CR
MUNI/A/1553/2018, interní kód MU
Name: Genetické, environmentální a tkáňové charakteristiky vybraných patologických stavů a nemocí (Acronym: genetika; stres; biomateriály; tkáňové kultury)
Investor: Masaryk University, Category A