The Clinical Trials Core will conduct phase I and II vaccine trials initiated by CHAVI in a rapid, efficient and coordinated manner. The Core will provide the following functions: (1) design of phase I and II clinical protocols; (2) recruit and retain volunteer subject populations; (3) assess safety and immunogenicity of vaccine candidates; (4) collect data and clinical samples; (5) provide quality control; (6) analyze data. The Clinical Trials Core will interact at early stages in the development of vaccine candidates through membership in Vaccine Discovery Teams, and through active interaction in the development process leading up to and involving clinical trials. In the U.S., the Core will carry out vaccine trials at the clinical studies facility based at Brigham and Women's Hospital, which is the site used for the Harvard HIV Vaccine Trials Unit (HVTU). Studies will be conducted by a highly experienced vaccine trials team led by Dr. Raphael Dolin, which has had a high level of performance in HVTN studies. The Clinical Trials Core will also work closely with the CHAVI Acute HIV Infection Network described in Core B to prepare, train, and coordinate those clinical sites to conduct phase I and II vaccine trials as needed. The Clinical Trials Core will also assist the investigators in Core B to provide support for the conduct of acute HIV infection studies as needed, particularly during the first year of the award. The Clinical Trials Core will have the capability to conduct two phase I or one phase II study annually, likely beginning in year 2 of the award. The Core will closely coordinate its activities with those of the HIV Vaccine Trials Network (HVTN) to take advantage of its infrastructure and data analysis capabilities and to expand the size of the clinical trials as warranted.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Program--Cooperative Agreements (U19)
Project #
5U19AI067854-02
Application #
7310458
Study Section
Special Emphasis Panel (ZAI1)
Project Start
Project End
Budget Start
2006-07-01
Budget End
2007-06-30
Support Year
2
Fiscal Year
2006
Total Cost
$684,090
Indirect Cost
Name
Duke University
Department
Type
DUNS #
044387793
City
Durham
State
NC
Country
United States
Zip Code
27705
Song, Hongshuo; Giorgi, Elena E; Ganusov, Vitaly V et al. (2018) Tracking HIV-1 recombination to resolve its contribution to HIV-1 evolution in natural infection. Nat Commun 9:1928
Boelen, Lies; Debebe, Bisrat; Silveira, Marcos et al. (2018) Inhibitory killer cell immunoglobulin-like receptors strengthen CD8+ T cell-mediated control of HIV-1, HCV, and HTLV-1. Sci Immunol 3:
Winawer, Melodie R; Griffin, Nicole G; Samanamud, Jorge et al. (2018) Somatic SLC35A2 variants in the brain are associated with intractable neocortical epilepsy. Ann Neurol 83:1133-1146
Pacheco, Beatriz; Alsahafi, Nirmin; Debbeche, Olfa et al. (2017) Residues in the gp41 Ectodomain Regulate HIV-1 Envelope Glycoprotein Conformational Transitions Induced by gp120-Directed Inhibitors. J Virol 91:
Fouda, Genevieve G; Eudailey, Joshua; Kunz, Erika L et al. (2017) Systemic administration of an HIV-1 broadly neutralizing dimeric IgA yields mucosal secretory IgA and virus neutralization. Mucosal Immunol 10:228-237
Shen, Xiaoying; Bogers, Willy M; Yates, Nicole L et al. (2017) Cross-Linking of a CD4-Mimetic Miniprotein with HIV-1 Env gp140 Alters Kinetics and Specificities of Antibody Responses against HIV-1 Env in Macaques. J Virol 91:
Fischetti, Lucia; Zhong, Ziyun; Pinder, Christopher L et al. (2017) The synergistic effects of combining TLR ligand based adjuvants on the cytokine response are dependent upon p38/JNK signalling. Cytokine 99:287-296
Gelfman, Sahar; Wang, Quanli; McSweeney, K Melodi et al. (2017) Annotating pathogenic non-coding variants in genic regions. Nat Commun 8:236
Mori, Mari; Haskell, Gloria; Kazi, Zoheb et al. (2017) Sensitivity of whole exome sequencing in detecting infantile- and late-onset Pompe disease. Mol Genet Metab 122:189-197
Seaton, Kelly E; Vandergrift, Nathan A; Deal, Aaron W et al. (2017) Computational analysis of antibody dynamics identifies recent HIV-1 infection. JCI Insight 2:

Showing the most recent 10 out of 395 publications