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Related Concept Videos

Obesity01:24

Obesity

The Body Mass Index (BMI) is a numerical value derived from a person's weight and height, used to categorize individuals into weight ranges. It is calculated using the formula: weight in kilograms divided by height in meters squared. Obesity is a health condition characterized by excessive accumulation of adipose tissue that poses health risks, often diagnosed with a BMI ≥ 30. This excess fat storage occurs when surplus dietary calories are converted into triglycerides and stored in adipocytes...
Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
Human Genetics01:28

Human Genetics

Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...
Pharmacokinetics in Obese Patients: Drug Metabolism and Excretion01:20

Pharmacokinetics in Obese Patients: Drug Metabolism and Excretion

Drug metabolism, a critical process in the liver, involves two primary phases: Phase I reactions and Phase II conjugation. Obesity introduces significant alterations in this metabolic process, primarily due to fatty infiltration of the liver, leading to conditions such as nonalcoholic fatty liver disease (NAFLD). This condition can modify the activities of both Phase I and II enzymes, impacting how drugs are metabolized in obese patients.Phase I metabolism sees variable effects across...
Pharmacokinetics in Obese Patients: Drug Absorption and Distribution01:25

Pharmacokinetics in Obese Patients: Drug Absorption and Distribution

Obesity significantly alters the pharmacokinetic processes of drug absorption and distribution, presenting unique challenges in medical treatment. The increased fat tissue and decreased lean muscle in obese individuals can significantly affect how drugs are absorbed into the body and distributed across different tissues. This alteration can lead to variances in the effectiveness and safety of medications, necessitating adjustments in dosing or drug selection for obese patients.One notable...

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Related Experiment Video

Updated: Jul 18, 2026

Development and Validation of a Methodology for Establishing Obese Rat Models with Typical Fatty Pancreas
03:07

Development and Validation of a Methodology for Establishing Obese Rat Models with Typical Fatty Pancreas

Published on: November 11, 2025

[Human obesity: toward functional genomics].

Karine Clément1

  • 1Inserm, Nutriomique U755, 75004 Paris, France. karine.clement@htd.aphp.fr

Journal De La Societe De Biologie
|December 6, 2006
PubMed
Summary

Understanding obesity requires studying both genetic and environmental factors. Advances in genetic tools and biocomputing are improving our ability to analyze complex gene-environment interactions in obesity research.

Area of Science:

  • Genetics and genomics
  • Metabolic disorders
  • Environmental health

Context:

  • Obesity is a complex multifactorial disease influenced by both genetic predisposition and environmental factors.
  • While monogenic obesity offers clear genetic targets, common obesity involves intricate gene-environment interactions.
  • Current research faces challenges with sample size and sophisticated biocomputing for analyzing multiple interactions.

Purpose:

  • To review current knowledge in obesity genetics.
  • To highlight emerging tools and developments for studying gene contributions to obesity.
  • To explore how genetic factors respond to environmental changes.

Summary:

  • Elucidates the interplay between genetic and environmental factors in obesity.

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Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
14:56

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies

Published on: May 6, 2022

Related Experiment Videos

Last Updated: Jul 18, 2026

Development and Validation of a Methodology for Establishing Obese Rat Models with Typical Fatty Pancreas
03:07

Development and Validation of a Methodology for Establishing Obese Rat Models with Typical Fatty Pancreas

Published on: November 11, 2025

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
14:56

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies

Published on: May 6, 2022

  • Discusses advancements in genetic tools for identifying obesity-related genes and syndromes.
  • Explores the challenges and future directions in analyzing complex gene-environment interactions using large-scale data and advanced biocomputing.

    • Impact:

    • Enhances understanding of obesity's complex etiology.
    • Provides insights into potential therapeutic targets for obesity management.
    • Paves the way for personalized approaches to obesity prevention and treatment by integrating genetic and environmental data.