The goals of the Virology Core are to enhance the research capacity of the UNC CFAR research community by providing access to state-of-the-art tools for diagnosis and monitoring HIV+ patients in clinical trials, and providing leadership to promote HIV/AIDS research in this area through collaboration, training, and mentoring.
The specific aims are to 1) provide quality viral assays and services, 2) provide training and mentorship to the domestic and international CFAR community and build capacity at international sites, 3) provide leadership through activities locally, nationally, and internationally, 4) support NIH networks and CFAR-CFAR collaborations by participating in CHAVI, HPTN, IMPAACT, and ACTG, 5) support new CFAR initiatives through collaborations with UNC CFAR members, and 6) engage in evaluation and strategic planning, using input from user surveys, an Internal Advisory Board, and the CFAR External Advisory Board. Through these activities, the Virology Core will continue to provide key infrastructure support for the HIV/AIDS research activity of the CFAR membership. These activities will have a significant impact on the future of the epidemic by providing HIV, HCV, and HPV viral assays, including ultra-low copy number and POC assays, training and mentoring new US and international scientists, and providing leadership locally, nationally, and globally.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Center Core Grants (P30)
Project #
5P30AI050410-16
Application #
8531835
Study Section
Special Emphasis Panel (ZAI1-ELB-A)
Project Start
2013-08-01
Project End
2016-07-31
Budget Start
2013-08-01
Budget End
2014-07-31
Support Year
16
Fiscal Year
2013
Total Cost
$166,875
Indirect Cost
$46,373
Name
University of North Carolina Chapel Hill
Department
Type
DUNS #
608195277
City
Chapel Hill
State
NC
Country
United States
Zip Code
27599
Evon, Donna M; Stewart, Paul W; Amador, Jipcy et al. (2018) A comprehensive assessment of patient reported symptom burden, medical comorbidities, and functional well being in patients initiating direct acting antiviral therapy for chronic hepatitis C: Results from a large US multi-center observational study. PLoS One 13:e0196908
Gausi, Blessings; Chagomerana, Maganizo B; Tang, Jennifer H et al. (2018) Human Immunodeficiency Virus Serodiscordance and Dual Contraceptive Method Use Among Human Immunodeficiency Virus-infected Men and Women in Lilongwe, Malawi. Sex Transm Dis 45:747-753
Kalayjian, Robert C; Albert, Jeffrey M; Cremers, Serge et al. (2018) Women have enhanced bone loss associated with phosphaturia and CD4+ cell restoration during initial antiretroviral therapy. AIDS 32:2517-2524
Altekruse, Sean F; Shiels, Meredith S; Modur, Sharada P et al. (2018) Cancer burden attributable to cigarette smoking among HIV-infected people in North America. AIDS 32:513-521
Cheng, Weibin; Xu, Huifang; Zhong, Fei et al. (2018) Can HIV service data be used for surveillance purposes?: a case study in Guangzhou, China. BMC Public Health 18:1268
Gradissimo, Ana; Lam, Jessica; Attonito, John D et al. (2018) Methylation of High-Risk Human Papillomavirus Genomes Are Associated with Cervical Precancer in HIV-Positive Women. Cancer Epidemiol Biomarkers Prev 27:1407-1415
AIDS-defining Cancer Project Working Group of IeDEA, COHERE in EuroCoord (2018) Non-Hodgkin lymphoma risk in adults living with HIV across five continents. AIDS 32:2777-2786
Price, Joan T; Mollan, Katie R; Fuseini, Nurain M et al. (2018) Vaginal progesterone to reduce preterm birth among HIV-infected pregnant women in Zambia: a feasibility study protocol. Pilot Feasibility Stud 4:21
Davy-Mendez, Thibaut; Napravnik, Sonia; Zakharova, Oksana et al. (2018) Acute HIV Infection and CD4/CD8 Ratio Normalization After Antiretroviral Therapy Initiation. J Acquir Immune Defic Syndr 79:510-518
Cole, Stephen R; Edwards, Jessie K; Westreich, Daniel et al. (2018) Estimating multiple time-fixed treatment effects using a semi-Bayes semiparametric marginal structural Cox proportional hazards regression model. Biom J 60:100-114

Showing the most recent 10 out of 1688 publications