LENÁRT, Peter, Martin SCHERINGER and Julie DOBROVOLNÁ. The Pathosome: A Dynamic Three-Dimensional View of Disease-Environment Interaction. BIOESSAYS. HOBOKEN: WILEY, 2019, vol. 41, No 6, p. 1-6. ISSN 0265-9247. Available from: https://dx.doi.org/10.1002/bies.201900014.
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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
Original language English
Type of outcome Article in a journal
Field of Study 10602 Biology , Evolutionary biology
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW Full Text
Impact factor Impact factor: 4.631
RIV identification code RIV/00216224:14310/19:00110768
Organization unit Faculty of Science
Doi http://dx.doi.org/10.1002/bies.201900014
UT WoS 000474783900008
Keywords in English disease; environment; health; pathosome; phenotype; preconditioning
Tags 14110518, podil, rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Marie Šípková, DiS., učo 437722. Changed: 24/3/2020 14:32.
Abstract
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 projectName: Cetocoen Plus
EF16_013/0001761, research and development projectName: RECETOX RI
LM2015051, research and development projectName: 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 MUName: Genetické, environmentální a tkáňové charakteristiky vybraných patologických stavů a nemocí (Acronym: genetika; stres; biomateriály; tkáňové kultury)
Investor: Masaryk University, Category A
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