Related Experiment Video

Updated: Apr 3, 2026

Gene-environment Interaction Models to Unmask Susceptibility Mechanisms in Parkinson's Disease
08:09

Gene-environment Interaction Models to Unmask Susceptibility Mechanisms in Parkinson's Disease

Published on: January 7, 2014

8.0K

Prognostic Relevance of Gene-Environment Interactions in Patients With Dilated Cardiomyopathy: Applying the MOGE(S)

Mark R Hazebroek1, Suzanne Moors1, Robert Dennert1

  • 1Department of Cardiology, Maastricht University Medical Centre, Maastricht, the Netherlands.

Journal of the American College of Cardiology
|September 19, 2015
PubMed

Insights

The MOGE(S) classification effectively stratifies dilated cardiomyopathy (DCM) patients. Multiple MOGE(S) attributes indicate a higher risk of adverse outcomes, guiding personalized treatment strategies.

Area of Science:

  • Cardiology
  • Genetics
  • Pathophysiology

Background:

  • Dilated cardiomyopathy (DCM) presents complex multifactorial pathogenesis, hindering patient stratification.
  • The MOGE(S) (morphofunctional, organ involvement, genetic or familial, etiology, stage) classification offers a structured approach to DCM assessment.

Purpose of the Study:

  • To evaluate the clinical applicability of the MOGE(S) classification in DCM patients.
  • To determine the prognostic relevance of the MOGE(S) classification in predicting outcomes for DCM patients.

Main Methods:

  • Utilized data from the Maastricht Cardiomyopathy Registry, excluding specific heart disease types.
  • Conducted comprehensive diagnostic work-up, including genetic evaluation and endomyocardial biopsy.
  • Included 213 consecutive DCM patients in the analysis.

Main Results:

  • Organ involvement (16%) and genetic/familial DCM (33%) were identified. A cause was found in 73% of patients, with 23% having multiple etiologies.
  • Left ventricular reverse remodeling was more frequent in non-genetic/non-familial DCM.
  • Higher MOGE(S) attribute counts (≥2) and organ involvement predicted adverse outcomes (p=0.007 and p<0.001, respectively). Gene-environment interactions also correlated with worse prognosis (p=0.03).

Conclusions:

  • The MOGE(S) classification is applicable and prognostic in DCM.
  • Each MOGE(S) attribute and gene-environment interactions are linked to patient outcomes.
  • The presence of multiple MOGE(S) attributes strongly predicts adverse outcomes, supporting classification adaptation for multiple etiologies.
Abstract

Keywords:
autoimmuneetiologytoxicvirus

More Related Videos

Investigating the Pathogenesis of MYH7 Mutation Gly823Glu in Familial Hypertrophic Cardiomyopathy using a Mouse Model03:45

Investigating the Pathogenesis of MYH7 Mutation Gly823Glu in Familial Hypertrophic Cardiomyopathy using a Mouse Model

Published on: August 8, 2022

4.4K
A Doxorubicin-Induced Murine Model of Dilated Cardiomyopathy In Vivo05:14

A Doxorubicin-Induced Murine Model of Dilated Cardiomyopathy In Vivo

Published on: May 16, 2020

5.5K

Related Concept Videos

Gene-Environment Interactions01:20

Gene-Environment Interactions

Gene expression is a dynamic process that is significantly influenced by environmental factors. This interaction underlies the complex nature of biological development and the phenotypic differences observed among individuals, even among those with identical genetic makeups. Factors such as radiation, temperature, behavior, nutrition, and stress play pivotal roles in determining how genes are expressed. The concept of the reaction range is central to understanding this interaction. It posits...
1.6K
Cardiomyopathy II: Dilated Cardiomyopathy01:30

Cardiomyopathy II: Dilated Cardiomyopathy

Dilated cardiomyopathy, or DCM, is a progressive myocardial disorder characterized by ventricular chamber dilation and contractile dysfunction.EtiologyVarious factors can cause DCM, including hypertension and heavy alcohol intake, which contribute to the weakening and enlargement of the heart muscle. Viral infections, such as Coxsackievirus B, adenoviruses, and influenza, can lead to DCM by causing inflammation and damage to heart tissue. Certain chemotherapeutic agents, including daunorubicin,...
769
Background and Environment Affect Phenotype02:27

Background and Environment Affect Phenotype

Although the genetic makeup of an organism plays a major role in determining the phenotype, there are also several environmental factors, such as temperature, oxygen availability, presence of mutagens, that can alter an organism’s phenotype.
An example of how genetic background affects phenotype can be seen in horses. The Extension gene in horses is responsible for their coat color. A wild-type gene (EE) produces black pigment in the coat, while a mutant gene (ee) produces red pigment. A...
8.1K
Cardiomyopathy V: Interprofessional Care01:29

Cardiomyopathy V: Interprofessional Care

Managing cardiomyopathy involves addressing underlying or precipitating causes, treating heart failure with medications, and implementing dietary changes and a balanced exercise and rest regimen.Lifestyle ModificationsCardiomyopathy patients should adopt a low-sodium diet to reduce fluid retention and manage heart failure. A personalized exercise and rest plan helps maintain physical fitness without overstraining the heart. Avoiding alcohol and tobacco is essential to prevent further damage to...
647
Cardiomyopathy III: Hypertrophic Cardiomyopathy01:29

Cardiomyopathy III: Hypertrophic Cardiomyopathy

Hypertrophic cardiomyopathy, or HCM, is an autosomal dominant genetic disorder characterized by asymmetric left ventricular hypertrophy without ventricular dilation. It is more common in men and is typically diagnosed in young, athletic adults.EtiologyHCM is primarily genetic and is caused by mutations in genes encoding sarcomeric proteins. Researchers have identified over 1400 mutations across at least 11 different genes. Among these, the most frequently occurring mutations are found in the...
718
Pharmacogenetic Phenotypes: Alterations in Pharmacokinetics, Drug Targets and Biologic Milieu01:29

Pharmacogenetic Phenotypes: Alterations in Pharmacokinetics, Drug Targets and Biologic Milieu

Genetic variations significantly influence drug response through pharmacokinetics, receptor interactions, and biologic milieu modifications. Pharmacokinetic alterations impact drug metabolism and clearance, affecting efficacy and toxicity. Variants in drug-metabolizing enzymes, such as CYP2C9 and CYP2C19, alter drug activation and elimination. For example, CYP2C9 loss-of-function variants require lower warfarin doses to prevent excessive bleeding, while CYP2C19 variants reduce clopidogrel...
112