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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
immunology and microbiology
Use of principal components analysis and protein microarray to explore the association of HIV-1-specific IgG responses with disease progression
AIDS Research and Human Retroviruses, Volume 30, No. 1, Year 2014
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Description
The role of HIV-1-specific antibody responses in HIV disease progression is complex and would benefit from analysis techniques that examine clusterings of responses. Protein microarray platforms facilitate the simultaneous evaluation of numerous protein-specific antibody responses, though excessive data are cumbersome in analyses. Principal components analysis (PCA) reduces data dimensionality by generating fewer composite variables that maximally account for variance in a dataset. To identify clusters of antibody responses involved in disease control, we investigated the association of HIV-1-specific antibody responses by protein microarray, and assessed their association with disease progression using PCA in a nested cohort design. Associations observed among collections of antibody responses paralleled protein-specific responses. At baseline, greater antibody responses to the transmembrane glycoprotein (TM) and reverse transcriptase (RT) were associated with higher viral loads, while responses to the surface glycoprotein (SU), capsid (CA), matrix (MA), and integrase (IN) proteins were associated with lower viral loads. Over 12 months greater antibody responses were associated with smaller decreases in CD4 count (CA, MA, IN), and reduced likelihood of disease progression (CA, IN). PCA and protein microarray analyses highlighted a collection of HIV-specific antibody responses that together were associated with reduced disease progression, and may not have been identified by examining individual antibody responses. This technique may be useful to explore multifaceted host-disease interactions, such as HIV coinfections. © 2014, Mary Ann Liebert, Inc.
Available Materials
https://efashare.b-cdn.net/share/pmc/articles/PMC3931433/bin/Supp_Table1.zip
Authors & Co-Authors
Gerns Storey, Helen L.
United States, Seattle
University of Washington
Richardson, Barbra Ann
United States, Seattle
University of Washington
Singa, Benson O.
Kenya, Nairobi
Kenya Medical Research Institute
Naulikha, Jacqueline Mulongo
Kenya, Nairobi
Kenya Medical Research Institute
Prindle, Vivian C.
United States, Irvine
University of California, Irvine
Diaz-Ochoa, Vladimir E.
United States, Irvine
University of California, Irvine
Felgner, Philip Louis
United States, Irvine
University of California, Irvine
Camerini, David
United States, Irvine
University of California, Irvine
Horton, Helen
United States, Seattle
Seattle Biomedical Research Institute
John-Stewart, Grace C.
United States, Seattle
University of Washington
Walson, Judd L.
United States, Seattle
University of Washington
Statistics
Citations: 11
Authors: 11
Affiliations: 4
Identifiers
Doi:
10.1089/aid.2013.0088
ISSN:
08892229
e-ISSN:
19318405
Research Areas
Infectious Diseases
Study Design
Cohort Study