A Novel Unsupervised Method to Identify Genes Important in the Anti-viral Response: Application to Interferon/Ribavirin in Hepatitis C Patients
2007

Identifying Genes Linked to Hepatitis C Treatment Response

Sample size: 52 publication 10 minutes Evidence: high

Author Information

Author(s): Brodsky Leonid I., Wahed Abdus S., Li Jia, Tavis John E., Tsukahara Takuma, Taylor Milton W.

Hypothesis

The study aims to link viral levels with gene expression to identify genes responsible for early decrease in viral titer during hepatitis C treatment.

Conclusion

The identified genes play a major role in reducing hepatitis C virus during the early phase of treatment.

Supporting Evidence

  • 36 unique genes were detected that cluster patients similarly to viral titer.
  • The method can analyze responses to various biological factors.
  • Gene expression variability correlates with treatment response.

Takeaway

Researchers found specific genes that help fight the hepatitis C virus when patients are treated with certain medications.

Methodology

Microarrays were performed on RNA from patients undergoing interferon/ribavirin therapy, with samples collected at various time points.

Limitations

The study did not account for A/P filtering, which may include genes not involved in the anti-viral response.

Participant Demographics

Participants included 401 patients with chronic hepatitis C from 8 U.S. clinical centers.

Statistical Information

P-Value

<1.0E-08

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1371/journal.pone.0000584

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