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Microarray Analysis of HIV Resistant Female Sex Workers Reveal a Gene Expression Signature Pattern Reminiscent of a Lowered Immune Activation State

Overview of attention for article published in PLOS ONE, January 2012
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Title
Microarray Analysis of HIV Resistant Female Sex Workers Reveal a Gene Expression Signature Pattern Reminiscent of a Lowered Immune Activation State
Published in
PLOS ONE, January 2012
DOI 10.1371/journal.pone.0030048
Pubmed ID
Authors

Elijah M. Songok, Ma Luo, Ben Liang, Paul Mclaren, Nadine Kaefer, Winnie Apidi, Genevieve Boucher, Joshua Kimani, Charles Wachihi, Rafick Sekaly, Keith Fowke, Blake T. Ball, Francis A. Plummer

Abstract

To identify novel biomarkers for HIV-1 resistance, including pathways that may be critical in anti-HIV-1 vaccine design, we carried out a gene expression analysis on blood samples obtained from HIV-1 highly exposed seronegatives (HESN) from a commercial sex worker cohort in Nairobi and compared their profiles to HIV-1 negative controls. Whole blood samples were collected from 43 HIV-1 resistant sex workers and a similar number of controls. Total RNA was extracted and hybridized to the Affymetrix HUG 133 Plus 2.0 micro arrays (Affymetrix, Santa Clara CA). Output data was analysed through ArrayAssist software (Agilent, San Jose CA). More than 2,274 probe sets were differentially expressed in the HESN as compared to the control group (fold change ≥1.3; p value ≤0.0001, FDR <0.05). Unsupervised hierarchical clustering of the differentially expressed genes readily distinguished HESNs from controls. Pathway analysis through the KEGG signaling database revealed a majority of the impacted pathways (13 of 15, 87%) had genes that were significantly down regulated. The most down expressed pathways were glycolysis/gluconeogenesis, pentose phosphate, phosphatidyl inositol, natural killer cell cytotoxicity and T-cell receptor signaling. Ribosomal protein synthesis and tight junction genes were up regulated. We infer that the hallmark of HIV-1 resistance is down regulation of genes in key signaling pathways that HIV-1 depends on for infection.

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Geographical breakdown

Country Count As %
Germany 1 1%
Kenya 1 1%
Brazil 1 1%
India 1 1%
Spain 1 1%
United States 1 1%
Unknown 80 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 21%
Student > Ph. D. Student 13 15%
Student > Master 12 14%
Student > Bachelor 10 12%
Professor > Associate Professor 8 9%
Other 15 17%
Unknown 10 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 31%
Medicine and Dentistry 26 30%
Immunology and Microbiology 11 13%
Biochemistry, Genetics and Molecular Biology 5 6%
Social Sciences 3 3%
Other 5 6%
Unknown 9 10%