RESUMO
Massive testing is a cornerstone in efforts to effectively track infections and stop COVID-19 transmission, including places with good vaccination coverage. However, SARS-CoV-2 testing by RT-qPCR requires specialized personnel, protection equipment, commercial kits, and dedicated facilities, which represent significant challenges for massive testing in resource-limited settings. It is therefore important to develop testing protocols that are inexpensive, fast, and sufficiently sensitive. Here, we optimized the composition of a buffer (PKTP), containing a protease, a detergent, and an RNase inhibitor, which is compatible with the RT-qPCR chemistry, allowing for direct SARS-CoV-2 detection from saliva without extracting RNA. PKTP is compatible with heat inactivation, reducing the biohazard risk of handling samples. We assessed the PKTP buffer performance in comparison to the RNA-extraction-based protocol of the US Centers for Disease Control and Prevention in saliva samples from 70 COVID-19 patients finding a good sensitivity (85.7% for the N1 and 87.1% for the N2 target) and correlations (R = 0.77, p < 0.001 for N1, and R = 0.78, p < 0.001 for N2). We also propose an auto-collection protocol for saliva samples and a multiplex reaction to minimize the PCR reaction number per patient and further reduce costs and processing time of several samples, while maintaining diagnostic standards in favor of massive testing.
RESUMO
BACKGROUND: Persistence of latent, replication-competent provirus in CD4+ T cells of human immunodeficiency virus (HIV)-infected individuals on antiretroviral treatment (ART) is the main obstacle for virus eradication. Methylation of the proviral 5' long terminal repeat (LTR) promoter region has been proposed as a possible mechanism contributing to HIV latency; however, conflicting observations exist regarding its relevance. We assessed 5'-LTR methylation profiles in total CD4+ T cells from blood of 12 participants on short-term ART (30 months) followed up for 2 years, and a cross-sectional group of participants with long-term ART (6-15 years), using next generation sequencing. We then looked for associations between specific 5'-LTR methylation patterns and baseline and follow-up clinical characteristics. RESULTS: 5'-LTR methylation was observed in all participants and behaved dynamically. The number of 5'-LTR variants found per sample ranged from 1 to 13, with median sequencing depth of 16270× (IQR 4107×-46760×). An overall significant 5'-LTR methylation increase was observed at month 42 compared to month 30 (median CpG Methylation Index: 74.7% vs. 0%, p = 0.025). This methylation increase was evident in a subset of participants (methylation increase group), while the rest maintained fairly high and constant methylation (constant methylation group). Persons in the methylation increase group were younger, had higher CD4+ T cell gain, larger CD8% decrease, and larger CD4/CD8 ratio change after 48 months on ART (all p < 0.001). Using principal component analysis, the constant methylation and methylation increase groups showed low evidence of separation along time (factor 2: p = 0.04). Variance was largely explained (21%) by age, CD4+/CD8+ T cell change, and CD4+ T cell subpopulation proportions. Persons with long-term ART showed overall high methylation (median CpG Methylation Index: 78%; IQR 71-87%). No differences were observed in residual plasma viral load or proviral load comparing individuals on short-term (both at 30 or 42 months) and long-term ART. CONCLUSIONS: Our study shows evidence that HIV 5'-LTR methylation in total CD4+ T cells is dynamic along time and that it can follow different temporal patterns that are associated with a combination of baseline and follow-up clinical characteristics. These observations may account for differences observed between previous contrasting studies.