VTechWorks staff will be away for the Thanksgiving holiday beginning at noon on Wednesday, November 27, through Friday, November 29. We will resume normal operations on Monday, December 2. Thank you for your patience.
 

Gene Expression Profiling of Human Vaginal Cells In Vitro Discriminates Compounds with Pro-Inflammatory and Mucosa-Altering Properties: Novel Biomarkers for Preclinical Testing of HIV Microbicide Candidates

dc.contributor.authorZalenskaya, Irina A.en
dc.contributor.authorJoseph, Theresaen
dc.contributor.authorBavarva, Jasmin H.en
dc.contributor.authorYousefieh, Nazitaen
dc.contributor.authorJackson, Suzanne S.en
dc.contributor.authorFashemi, Titilayoen
dc.contributor.authorYamamoto, Hidemi S.en
dc.contributor.authorSettlage, Robert E.en
dc.contributor.authorFichorova, Raina N.en
dc.contributor.authorDoncel, Gustavo F.en
dc.date.accessioned2017-11-02T13:02:25Zen
dc.date.available2017-11-02T13:02:25Zen
dc.date.issued2015-06-08en
dc.description.abstractBackground Inflammation and immune activation of the cervicovaginal mucosa are considered factors that increase susceptibility to HIV infection. Therefore, it is essential to screen candidate anti-HIV microbicides for potential mucosal immunomodulatory/inflammatory effects prior to further clinical development. The goal of this study was to develop an in vitro method for preclinical evaluation of the inflammatory potential of new candidate microbicides using a microarray gene expression profiling strategy. Methods To this end, we compared transcriptomes of human vaginal cells (Vk2/E6E7) treated with well-characterized pro-inflammatory (PIC) and non-inflammatory (NIC) compounds. PICs included compounds with different mechanisms of action. Gene expression was analyzed using Affymetrix U133 Plus 2 arrays. Data processing was performed using GeneSpring 11.5 (Agilent Technologies, Santa Clara, CA). Results Microarraray comparative analysis allowed us to generate a panel of 20 genes that were consistently deregulated by PICs compared to NICs, thus distinguishing between these two groups. Functional analysis mapped 14 of these genes to immune and inflammatory responses. This was confirmed by the fact that PICs induced NFkB pathway activation in Vk2 cells. By testing microbicide candidates previously characterized in clinical trials we demonstrated that the selected PIC-associated genes properly identified compounds with mucosa-altering effects. The discriminatory power of these genes was further demonstrated after culturing vaginal cells with vaginal bacteria. Prevotella bivia, prevalent bacteria in the disturbed microbiota of bacterial vaginosis, induced strong upregulation of seven selected PIC-associated genes, while a commensal Lactobacillus gasseri associated to vaginal health did not cause any changes. Conclusions In vitro evaluation of the immunoinflammatory potential of microbicides using the PIC-associated genes defined in this study could help in the initial screening of candidates prior to entering clinical trials. Additional characterization of these genes can provide further insight into the cervicovaginal immunoinflammatory and mucosal-altering processes that facilitate or limit HIV transmission with implications for the design of prevention strategies.en
dc.description.sponsorshipThis work was supported by CONRAD funds from a cooperative agreement with USAID GPO-A-00-08-00005-00 with additional funds from an interagency agreement with NIH/NIAID YI-AI-1756-01 (GFD), and grant 41266 from the Bill and Melinda Gates Foundation(GFD).en
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0128557en
dc.identifier.issue6en
dc.identifier.urihttp://hdl.handle.net/10919/79913en
dc.identifier.volume10en
dc.language.isoen_USen
dc.publisherPLOSen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.titleGene Expression Profiling of Human Vaginal Cells In Vitro Discriminates Compounds with Pro-Inflammatory and Mucosa-Altering Properties: Novel Biomarkers for Preclinical Testing of HIV Microbicide Candidatesen
dc.title.serialPLoS ONEen
dc.typeArticle - Refereeden

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
SettlageGeneExpression2015.pdf
Size:
3.88 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
Name:
license.txt
Size:
1.5 KB
Format:
Item-specific license agreed upon to submission
Description: