| Literature DB >> 25285165 |
Weiming Yang1, Oliver Laeyendecker2, Sarah K Wendel3, Bai Zhang1, Shisheng Sun1, Jian-Ying Zhou1, Minghui Ao1, Richard D Moore4, J Brooks Jackson1, Hui Zhang1.
Abstract
HIV elite suppressors (ES) or controllers are individuals achieving control of viremia by their natural immunological mechanisms without highly active antiretroviral therapy (HAART). Study of the mechanisms responsible for the immunological suppression of viremia in ES may lead to the detection of individuals with ES and the effective control of HIV infection. We hypothesize that plasma glycoproteins play essential roles in the immune system of ES since plasma proteins are critical and highly relevant in anti-viral immunity and most plasma proteins are glycoproteins. To examine glycoproteins associated with ES, plasma samples from ES individuals (n=20), and from individuals on HAART (n=20), with AIDS (n=20), and no HIV infection (n=10) were analyzed by quantitative glycoproteomics. We found that a number of glycoproteins changed between ES versus HAART, AIDS and HIV- individuals. In sharp contrast, the level of plasma glycoproteins in the HAART cohort showed fewer changes compared with AIDS and HIV- individuals. These results showed that although both ES and HAART effectively suppress viremia, ES appeared to profoundly affect immunologically relevant glycoproteins in plasma as consequence of or support for anti-viral immunity. Bioinformatic analysis revealed that altered proteins in ES plasma were mainly associated with inflammation. This analysis suggests that overlapping, while distinguishable, glycoprotein profiles for inflammation and immune activation appeared to be present between ES and non-ES (HAART+AIDS) cohorts, indicating different triggers for inflammation and immune activation between natural and treatment-related viral suppression.Entities:
Keywords: AIDS; HAART; HIV; elite suppressor; glycoprotein; glycoproteomics; immune activation; inflammation
Mesh:
Substances:
Year: 2014 PMID: 25285165 PMCID: PMC4183994 DOI: 10.7150/thno.9510
Source DB: PubMed Journal: Theranostics ISSN: 1838-7640 Impact factor: 11.556
Clinical information of patients in normal and disease cohorts. (NA-not applicable)
Figure 1Separation of ES from other cohorts. (A) Unsupervised hierarchical clustering using relative intensity of peptides for individuals. Euclidean Distance and Spearman Rand were used for individuals and peptides respectively. (B) Principal component analysis using relative intensity of peptides from individuals. Red circle highlighted ES in segregation from other groups. (C) Venn diagram showing the number of significantly changed proteins with a cut off ratio of 1.5-fold and p-value ≤ 0.05 among cohorts.
Heat map and differentially expressed glycoproteins among cohorts.
Log2 fold change and p-value were calculated using relative intensity of peptides described in Materials and Methods. Proteins with p-value ≤ 0.05, at least 1.5-fold change and two spectral counts were shown. Euclidian distance and city-block distance were used to cluster cohorts and proteins respectively. Minus (-) indicated not significant.
Figure 2Altered glycosite-containing peptides for each cohort. Glycosite-containing peptides from six up-regulated and five down-regulated proteins specific for ES cohort were plotted. The sites for N-linked glycosylation were highlighted in red.
Figure 3Changed proteins in ES associated with inflammation, coagulation and complement. Proteins with p-value ≤ 0.05 and fold change ≥ 1.5 were considered significantly different and coloured in red or green.