Related Experiment Video
Updated: Jan 20, 2026
09:16
Ex Vivo Organoid Model of Adenovirus-Cre Mediated Gene Deletions in Mouse Urothelial Cells
Published on: May 5, 2022
3.0K
Perspective on Adenoviruses: Epidemiology, Pathogenicity, and Gene Therapy
Brennetta J Crenshaw1, Leandra B Jones1, Courtnee' R Bell1
1Microbiology Program, Department of Biological Sciences, College of Science, Technology, Engineering and Mathematics, Alabama State University, Montgomery, AL 36104, USA.
Biomedicines
|August 22, 2019
Summary
Human adenoviruses cause severe respiratory infections and lack a public vaccine. This review covers adenovirus epidemiology, pathogenicity, gene therapy vector roles, and exosome involvement in infections.
Area of Science:
- Virology
- Immunology
- Gene Therapy
Background:
- Human adenoviruses are large, double-stranded DNA viruses causing significant respiratory illness.
- Pathogenicity affects both healthy and immunocompromised individuals.
- No current vaccine is available for the general population.
Purpose of the Study:
- To review the epidemiology and pathogenicity of human adenoviruses.
- To describe the biological role of adenovirus vectors in gene therapy.
- To explore the potential involvement of exosomes in adenoviral infections.
Main Methods:
- Literature review of epidemiological data.
- Analysis of adenovirus pathogenicity mechanisms.
- Review of studies on adenovirus vectors in gene therapy.
- Examination of research on exosomes and viral infections.
Main Results:
- Adenoviruses exhibit diverse epidemiology and significant pathogenicity.
- Adenovirus vectors are crucial tools in gene therapy.
- Exosomes may play a role in adenoviral infection cycles.
Conclusions:
- Understanding adenovirus epidemiology and pathogenicity is critical.
- Adenovirus vectors hold promise for genetic therapies.
- Further research into the role of exosomes could reveal new therapeutic targets.
Related Concept Videos
00:59Gene Therapy
27.4K
Gene therapy is a technique where a gene is inserted into a person’s cells to prevent or treat a serious disease. The added gene may be a healthy version of the gene that is mutated in the patient, or it could be a different gene that inactivates or compensates for the patient’s disease-causing gene. For example, in patients with severe combined immunodeficiency (SCID) due to a mutation in the gene for the enzyme adenosine deaminase, a functioning version of the gene can be...
27.4K
01:26Introduction to Epidemiology
1.7K
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,...
1.7K
01:21Causality in Epidemiology
1.5K
Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
1.5K
01:20Study Designs in Epidemiology
915
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
915
01:27Confounding in Epidemiological Studies
598
Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This...
598
01:29Bias in Epidemiological Studies
1.3K
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
1.3K