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Predictive efficacy of SCID-hu mouse models for treatment of human cytomegalovirus infections.

Author: BidansetD J, HartlineC B, KernE R, RybakR J

Journal ArticleAn article published in an academic or professional journal that reports original research or scholarly analysis.
Research Support, U.S. Gov't, P.H.S.Research funding provided by the Public Health Service (PHS).

Overview

This study developed two animal models using SCID mice implanted with human tissue to evaluate the in vivo activity of new compounds against human cytomegalovirus (HCMV) infections. The models were validated by demonstrating the efficacy of ganciclovir (GCV) and cidofovir (CDV) in reducing HCMV replication in both ocular and visceral tissue implants.
Paper Details　
Original Abstract of the Article :
There are few animal models to evaluate the in vivo activity of new compounds against human cytomegalovirus (HCMV) infections, as virus replication is largely limited to human cells. In our studies, we have utilized SCID mice implanted with human tissue (SCID-hu) and inoculated with HCMV as models f...See full text at original site
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引用元：
https://pubmed.ncbi.nlm.nih.gov/11594682

データ提供：米国国立医学図書館（NLM）

Predicting the Efficacy of Antiviral Treatments for Human Cytomegalovirus

This research explores the use of SCID-hu mouse models as a valuable tool for predicting the in vivo efficacy of antiviral treatments against human cytomegalovirus (HCMV) infections. The study utilizes [methodology] to evaluate the effectiveness of [treatment] in [research subject] . The findings suggest that [treatment] is [benefit] for [research subject] . The researchers identified [discovery] , suggesting that [treatment] is [benefit] for [research subject] .

SCID-hu Mouse Models: A Window into HCMV Infections

The study highlights the importance of developing reliable animal models to study HCMV infections and evaluate potential antiviral therapies. The findings suggest that [treatment] can [benefit] . This research underscores the need for [benefit] for [research subject] .

Advancing Antiviral Drug Development

This research emphasizes the importance of utilizing preclinical models to guide antiviral drug development and ensure the translation of promising therapies into clinical practice. The study's findings suggest that [treatment] can [benefit] . This research is [benefit] for [research subject] .

Dr.Camel's Conclusion

This study provides valuable insights into the predictive power of SCID-hu mouse models for evaluating antiviral treatments against human cytomegalovirus infections. The findings highlight the importance of using these models to guide drug development and ensure the translation of promising therapies into clinical practice. As Dr. Camel always says, "Just like a camel can adapt to its surroundings, researchers must be adaptable in their use of research tools to advance the field of medicine."
Date :
  1. Date Completed 2002-02-27
  2. Date Revised 2018-11-30
Further Info :

Pubmed ID

11594682

DOI: Digital Object Identifier

11594682

SNS
PICO Info
in preparation
Languages

English

Positive IndicatorAn AI analysis index that serves as a benchmark for how positive the results of the study are. Note that it is a benchmark and requires careful interpretation and consideration of different perspectives.

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