HIV Antibody Profiles in HIV Controllers and Persons With Treatment-Induced Viral Suppression

Medical Interns' Knowledge, Attitude, and Practice Toward People Living with HIV: Multicenter Experience from Saudi Arabia

Background

Discrimination by some healthcare providers toward people living with HIV/AIDS has been documented. Differences in cultural backgrounds make it harder for future doctors, who need a lot of knowledge and a positive attitude to treat patients. In conservative countries like Saudi Arabia, not enough is known about how much medical interns know about HIV and how they feel about people living with HIV/AIDS.

Methods

From April to September 2021, this cross-sectional study use non-probability random sampling and utilized a self-administered questionnaire to collected the data from 346 medical interns who had graduated from five different medical schools.

Results

Most of the subjects correctly identified the main transmission routes, such as unprotected sex (94.57%), blood and body fluid exchange (94.19%), and sharing needles or syringes (91.47%). But they did not know what the most common co-infections were for HIV patients or how to protect themselves after exposure. This paper showed that medical interns have some stigmatizing behaviors toward patients living with HIV, as 31.1% and 22.9% agreed, respectively, that they would feel more sympathetic toward people who get AIDS from blood transfusions compared to IV drug users (IDU).

Conclusion

Medical interns also showed some positive attitudes, as more than half of the sample (56.2%) would not isolate beds for people living with HIV/AIDS. The study's conclusion is that HIV education and training programs should be added for medical interns, which might have a significant positive impact on their attitude.

Comprehensive profiling of pre-infection antibodies identifies HIV targets associated with viremic control and viral load

Background

High HIV viral load (VL) is associated with increased transmission risk and faster disease progression. HIV controllers achieve viral suppression without antiretroviral (ARV) treatment. We evaluated viremic control in a community-randomized trial with >48,000 participants.

Methods

A massively multiplexed antibody profiling system, VirScan, was used to quantify pre- and post-infection antibody reactivity to HIV peptides in 664 samples from 429 participants (13 controllers, 135 viremic non-controllers, 64 other non-controllers, 217 uninfected persons). Controllers had VLs <2,000 copies/mL with no ARV drugs detected at the first HIV-positive visit and one year later. Viremic non-controllers had VLs 2,000 copies/mL with no ARV drugs detected at the first HIV-positive visit. Other non-controllers had either ARV drugs detected at the first HIV-positive visit (n=47) or VLs <2,000 copies/mL with no ARV drugs detected at only one HIV-positive visit (n=17).

Results

We identified pre-infection HIV antibody reactivities that correlated with post-infection VL. Pre-infection reactivity to an epitope in the HR2 domain of gp41 was associated with controller status and lower VL. Pre-infection reactivity to an epitope in the C2 domain of gp120 was associated with non-controller status and higher VL. Different patterns of antibody reactivity were observed over time for these two epitopes.

Conclusion

These studies suggest that pre-infection HIV antibodies are associated with controller status and modulation of HIV VL. These findings may inform research on antibody-based interventions for HIV treatment.

Protective HLA-B57: T cell and natural killer cell recognition in HIV infection

Understanding the basis of the immune determinants controlling disease outcome is critical to provide better care to patients and could be exploited for therapeutics and vaccine design. The discovery of the human immunodeficiency virus (HIV) virus as the causing agent of acquired immunodeficiency syndrome (AIDS) decades ago, led to a tremendous amount of research. Among the findings, it was discovered that some rare HIV+ individuals, called HIV controllers (HICs), had the ability to control the virus and keep a low viral load without the need of treatment. This ability allows HICs to delay or avoid progression to AIDS. HIV control is strongly associated with the expression of human leukocyte antigen (HLA) alleles in HICs. From the HIV protective HLAs described, HLA-B57 is the most frequent in HIC patients. HLA-B57 can present a large range of highly conserved Gag-derived HIV peptides to CD8+ T cells and natural killer (NK) cells, both the focus of this review. So far there are limited differences in the immune response strength, magnitude, or receptor repertoire towards HIV epitopes that could explain viral control in HICs. Interestingly, some studies revealed that during early infection the large breadth of the immune response towards HIV mutants in HLA-B57+ HIC patients, might in turn influence the disease outcome.

Detecting antibody reactivities in Phage ImmunoPrecipitation Sequencing data

Phage ImmunoPrecipitation Sequencing (PhIP-Seq) is a recently developed technology to assess antibody reactivity, quantifying antibody binding towards hundreds of thousands of candidate epitopes. The output from PhIP-Seq experiments are read count matrices, similar to RNA-Seq data; however some important differences do exist. In this manuscript we investigated whether the publicly available method edgeR (Robinson et al., Bioinformatics 26(1):139-140, 2010) for normalization and analysis of RNA-Seq data is also suitable for PhIP-Seq data. We find that edgeR is remarkably effective, but improvements can be made and introduce a Bayesian framework specifically tailored for data from PhIP-Seq experiments (Bayesian Enrichment Estimation in R, BEER).