Using Stepwise Pharmacogenomics and Proteomics to Predict Hepatitis C Treatment Response in Difficult to Treat Patient Populations.
Susanna NaggieMeredith ClementSam LuskAnu OsinusiTiffany HimmelJoseph E LucasWill J ThompsonLaura DuboisM Arthur MoseleyPaul J ClarkShyam KottililKeyur PatelPublished in: Proteomics. Clinical applications (2018)
In HIV/HCV-coinfected patients, three human CBG peptides that accurately predict treatment response with interferon-based therapy are identified. This study suggests that a stepwise approach combining a genetic predictor followed by targeted proteomics can improve the accuracy of clinical decision-making.
Keyphrases
- hepatitis c virus
- end stage renal disease
- decision making
- mass spectrometry
- human immunodeficiency virus
- ejection fraction
- newly diagnosed
- endothelial cells
- chronic kidney disease
- antiretroviral therapy
- hiv infected
- hiv positive
- stem cells
- dendritic cells
- hiv aids
- hiv testing
- gene expression
- genome wide
- dna methylation
- immune response
- copy number
- drug delivery
- cell therapy