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Related Concept Videos

Introduction to Epidemiology01:26

Introduction to Epidemiology

Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
Infectious Diseases and Their Occurrence01:28

Infectious Diseases and Their Occurrence

Infectious diseases appear in populations through various transmission patterns, influenced by pathogen characteristics, population immunity, environmental conditions, and social behavior. Understanding these patterns is essential for effective public health surveillance and intervention. These categories—sporadic, outbreak, epidemic, pandemic, and endemic—help frame the nature and scope of disease events.Sporadic diseases occur irregularly and infrequently, without a predictable temporal or...
Investigation of Disease Outbreaks01:23

Investigation of Disease Outbreaks

Multistate foodborne outbreaks pose significant public health risks and require meticulous investigation to identify sources and implement control measures. The Centers for Disease Control and Prevention (CDC) utilizes a dynamic seven-step process for these investigations, integrating data from laboratories, interviews, and environmental assessments to protect public health.Outbreak Detection: The detection of multistate outbreaks typically begins with PulseNet, the CDC's national laboratory...
Prevalence and Incidence01:08

Prevalence and Incidence

In statistical epidemiology and health sciences, two essential metrics—prevalence and incidence—are fundamental for understanding disease dynamics within a population. These measures enable public health officials, epidemiologists, and researchers to assess the burden of diseases, allocate resources effectively, and design impactful public health policies and interventions.
Prevalence indicates the proportion of individuals in a population who have a specific disease or health condition at a...
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
Initiation of Translation02:33

Initiation of Translation

Initiating translation is complex because it involves multiple molecules. Initiator tRNA, ribosomal subunits, and eukaryotic initiation factors (eIFs) are all required to assemble on the initiation codon of mRNA. This process consists of several steps that are mediated by different eIFs.
First, the initiator tRNA must be selected from the pool of elongator tRNAs by eukaryotic initiation factor 2 (eIF2). The initiator tRNA (Met-tRNAi) has conserved sequence elements including modified bases at...

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Analysis of Translation Initiation During Stress Conditions by Polysome Profiling
10:59

Analysis of Translation Initiation During Stress Conditions by Polysome Profiling

Published on: May 19, 2014

Epidemiology--found in translation.

Margaret R Spitz1, Neil E Caporaso, Andrew N Freedman

  • 1The University of Texas MD Anderson Cancer Center, Box 1340, 1155 Pressler, Houston, TX 77030, USA. mspitz@mdanderson.org

Cancer Discovery
|May 16, 2012
PubMed
Summary
This summary is machine-generated.

Observational epidemiologic studies bridge basic science and clinical practice. Combining epidemiology with in vitro drug screening can reveal new therapeutic uses for existing medications.

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Area of Science:

  • Epidemiology
  • Translational Science
  • Pharmacology

Background:

  • Translating basic science discoveries into clinical applications requires robust methodologies.
  • Observational epidemiologic analyses are crucial for identifying potential clinical applications and guiding further research.
  • Understanding the mechanisms behind observed associations is essential for therapeutic development.

Purpose of the Study:

  • To emphasize the significance of well-designed observational epidemiologic studies.
  • To demonstrate how combining epidemiologic data with in vitro screening can uncover novel therapeutic strategies.
  • To highlight the potential for identifying new uses for existing drugs.

Main Methods:

  • Designing and conducting careful observational epidemiologic analyses.
  • Coupling collected epidemiologic data with in vitro screening assays.
  • Utilizing commonly used therapeutic agents in the in vitro screen.

Main Results:

  • Demonstrated the value of observational epidemiology in clinical translation.
  • Identified a synergistic approach combining epidemiologic data and in vitro drug screening.
  • Showcased the potential for discovering novel therapeutic applications.

Conclusions:

  • Well-designed observational epidemiologic studies are invaluable for clinical application of basic science.
  • Integrating epidemiologic insights with in vitro drug screening accelerates the identification of new therapeutic uses.
  • This combined approach provides a strong foundation for future clinical testing and drug repurposing.