Key role of human leukocyte antigen in modulating human immunodeficiency virus progression: An overview of the possible applications

Host and viral factors deeply influence the human immunodeficiency virus (HIV) disease progression. Among them human leukocyte antigen (HLA) locus plays a key role at different levels. In fact, genes of the HLA locus have shown the peculiar capability to modulate both innate and adaptive immune responses. In particular, HLA class I molecules are recognized by CD8⁺ T-cells and natural killers (NK) cells towards the interaction with T cell receptor (TCR) and Killer Immunoglobulin Receptor (KIR) 3DL1 respectively. Polymorphisms within the different HLA alleles generate structural changes in HLA class I peptide-binding pockets. Amino acid changes in the peptide-binding pocket lead to the presentation of a different set of peptides to T and NK cells. This review summarizes the role of HLA in HIV progression toward acquired immunodeficiency disease syndrome and its receptors. Recently, many studies have been focused on determining the HLA binding-peptides. The novel use of immune-informatics tools, from the prediction of the HLA-bound peptides to the modification of the HLA-receptor complexes, is considered. A better knowledge of HLA peptide presentation and recognition are allowing new strategies for immune response manipulation to be applied against HIV virus.

Higher Expression of Activated CD8+ T Lymphocytes (CD8+CD25+, CD8+CD69+ and CD8+CD95+) Mediate Early Post-Transplant Acute Tubular Injury in Kidney Recipients

BACKGROUND

Acute kidney injury (AKI) is a leading cause of early post-transplant kidney damage. Furthermore, acute tubular necrosis (ATN) is appointed as the most prevalent form of AKI, a frequent multifactorial process associated with high morbidity and mortality, yet giving rise to delayed graft function (DGF) and, ultimately, allograft dysfunction. Common factors such as prolonged cold ischemia time, advanced donor age, cadaveric versus living donor, donor history of hypertension, as well as donation after cardiac death have all been deemed risk factors for ATN. With the increasing number of older cadaveric and cardiac donors in the donation process, ATN could have a detrimental impact on patient welfare. Therefore understanding the underlying process would benefit the transplant outcome. We aimed to prospectively monitor several T cell subsets in a cohort of kidney transplant recipients (KTrs) to investigate whether there is an adaptive immune-mediated involvement in the ATN process.

METHODS

Peripheral blood was collected from 31 KTrs at different time points within the first-year post-transplantation for in vitro stimulation with Concanavalin-A (Con-A) in a humidified 5% CO2 incubator at 37 °C for 72 hours. Upon cell stimulation, flow cytometry was applied to quantify the surface expression through the median fluorescence intensity (MFI) of CD4+CD25+, CD8+CD25+, CD4+CD38+, CD8+CD38+, CD4+CD154+, CD8+CD154+, CD4+CD69+, CD8+CD69+, CD4+CD95+, and CD8+CD95+ T cells. Statistical analysis was carried out with SPSS Statistics IBM v.25 (IBM Corp, Armonk, NY, USA). MFIs values were compared using a univariate analysis by a nonparametric U-Mann Whitney test. ROC analysis was applied to define cut-off values most capable of stratifying patients at high risk of ATN. Spearman's rank-order coefficient test was applied to correlate biomarkers with allograft function. Multivariate regression independently validated CD8+ T lymphocytes as surrogate biomarkers of ATN. A p-value < 0.05 was considered statistically significant.

RESULTS

KTrs who developed ATN upon transplantation had significantly higher expression of CD25, CD69, and CD95 on CD8+ and lower expression of CD95 on CD4+ T lymphocytes than patients with stable graft function. ROC curve analysis showed that MFIs ≥1015.20 for CD8+CD25+, ≥2489.05 for CD8+CD69+, ≥4257.28 for CD8+CD95+, and ≤1581.98 for CD4+CD95+ were capable of stratifying KTrs at high risk of ATN. Furthermore, patients with an MFI below any cut-off were significantly less likely to develop ATN than those with other values. The allograft function was correlated with the CD4+CD95+/CD8+CD95+ ratio in KTrs who developed ATN. The multivariate analysis confirmed that, within the first-month post-transplant, MFI values of CD8+CD25+, CD4+CD95+, and CD8+CD95+ T lymphocytes, along with donor age, serum creatinine, and GFR were independent risk factors to ATN. Moreover, we were also able to corroborate previous immune factors of importance in immune-mediated response to the allograft, such as the patient's maximum panel reactive antibody (PRA) or the maintenance immunosuppression therapy.

CONCLUSIONS

Our results demonstrate evidence for the implication of CD8+ T lymphocytes in the development of ATN early in the post-transplant phase. Post-transplant monitoring of activated CD8+ T lymphocytes may help identify which patients require further clinical intervention to prevent graft damage.