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The global impact of the SARS-CoV-2 pandemic has underscored the need for a deeper understanding of viral evolution to anticipate new viruses or variants. Genetic recombination is a fundamental mechanism in viral evolution, yet it remains poorly understood. In this study, we conducted a comprehensive research on the genetic regions associated with genetic recombination features in SARS-CoV-2. With this aim, we implemented a two-phase transfer learning approach using genomic spectrograms of complete SARS-CoV-2 sequences. In the first phase, we utilized a pre-trained VGG-16 model with genomic spectrograms of HIV-1, and in the second phase, we applied HIV-1 VGG-16 model to SARS-CoV-2 spectrograms. The identification of key recombination hot zones was achieved using the Grad-CAM interpretability tool, and the results were analyzed by mathematical and image processing techniques. Our findings unequivocally identify the SARS-CoV-2 Spike protein (S protein) as the pivotal region in the genetic recombination feature. For non-recombinant sequences, the relevant frequencies clustered around 1/6 and 1/12. In recombinant sequences, the sharp prominence of the main hot zone in the Spike protein prominently indicated a frequency of 1/6. These findings suggest that in the arithmetic series, every 6 nucleotides (two triplets) in S may encode crucial information, potentially concealing essential details about viral characteristics, in this case, recombinant feature of a SARS-CoV-2 genetic sequence. This insight further underscores the potential presence of multifaceted information within the genome, including mathematical signatures that define an organism's unique attributes. [ABSTRACT FROM AUTHOR]

INTRODUCTION HIV?controllers are a small group of subjects ( On the other hand, HIV?controllers as a whole seem to have a higher capacity to spontaneously clear hepatitis C virus (HCV) [...], : Introduction: HIV?controllers have the ability to spontaneously maintain viraemia at low or undetectable levels in the absence of antiretroviral treatment. Furthermore, HIV?controllers seem to have a superior capacity to spontaneously clear hepatitis C virus (HCV) compared to non HIV?controllers. Some of these subjects eventually lose HIV?controller status (transient controllers), whereas some HIV?controllers show a persistent natural HIV control (persistent controllers). We aimed to analyse whether persistent controllers have superior capacity to spontaneously clear HCV compared to transient controllers. Methods: We recruited HIV?controllers from January 1981 up to October 2016 with available antibodies to HCV (anti?HCV) data (n = 744). Factors associated with HIV spontaneous control in relation to HCV status were analysed in persistent and transient HIV?controllers with anti?HCV positive (n = 202 and n = 138 respectively) in comparison with 1700 HCV positive non HIV?controllers recruited from January 1981 up to March 2018, bivariate and multivariate analyses, following a logistic regression model, were applied. In addition, the factors related to the loss and time to lose HIV?controller status were explored (n = 744) using Log rank test and Kaplan?Meier curves, in this case the multivariate analysis consisted in a Cox regression model. Results: A higher frequency of HCV spontaneous clearance was found in persistent HIV?controllers (25.5%) compared to non?controllers (10.2%). After adjusting for potential confounders, as sex, age, HIV transmission risk, CD4[sup.+] T?cell nadir and time of follow?up, HCV clearance was independently associated with persistent HIV spontaneous control (p = 0.002; OR (95% CI) = 2.573 (1.428 to 4.633)), but not with transient spontaneous control (p = 0.119; 1.589 (0.888 to 2.845)). Furthermore, persistent HIV?controllers were more likely to spontaneously clear the HCV in comparison with transient controllers (p = 0.027; 0.377 (0.159 to 0.893). Finally, not to lose or lengthen the time of losing this control was independently associated with HCV spontaneous clearance (p = 0.010; 0.503 (0.297 to 0.850). Conclusions: This study shows an association between spontaneous persistent HIV?control and HCV spontaneous clearance. The study findings support the idea of preserved immune mechanisms in persistent HIV control implicated in HCV spontaneous clearance. These results highlight persistent HIV?controllers but not transient controllers as a good model of functional HIV cure.

Introduction: HIV‐controllers have the ability to spontaneously maintain viraemia at low or undetectable levels in the absence of antiretroviral treatment. Furthermore, HIV‐controllers seem to have a superior capacity to spontaneously clear hepatitis C virus (HCV) compared to non HIV‐controllers. Some of these subjects eventually lose HIV‐controller status (transient controllers), whereas some HIV‐controllers show a persistent natural HIV control (persistent controllers). We aimed to analyse whether persistent controllers have superior capacity to spontaneously clear HCV compared to transient controllers. Methods: We recruited HIV‐controllers from January 1981 up to October 2016 with available antibodies to HCV (anti‐HCV) data (n = 744). Factors associated with HIV spontaneous control in relation to HCV status were analysed in persistent and transient HIV‐controllers with anti‐HCV positive (n = 202 and n = 138 respectively) in comparison with 1700 HCV positive non HIV‐controllers recruited from January 1981 up to March 2018, bivariate and multivariate analyses, following a logistic regression model, were applied. In addition, the factors related to the loss and time to lose HIV‐controller status were explored (n = 744) using Log rank test and Kaplan–Meier curves, in this case the multivariate analysis consisted in a Cox regression model. Results: A higher frequency of HCV spontaneous clearance was found in persistent HIV‐controllers (25.5%) compared to non‐controllers (10.2%). After adjusting for potential confounders, as sex, age, HIV transmission risk, CD4+ T‐cell nadir and time of follow‐up, HCV clearance was independently associated with persistent HIV spontaneous control (p = 0.002; OR (95% CI) = 2.573 (1.428 to 4.633)), but not with transient spontaneous control (p = 0.119; 1.589 (0.888 to 2.845)). Furthermore, persistent HIV‐controllers were more likely to spontaneously clear the HCV in comparison with transient controllers (p = 0.027; 0.377 (0.159 to 0.893). Finally, not to lose or lengthen the time of losing this control was independently associated with HCV spontaneous clearance (p = 0.010; 0.503 (0.297 to 0.850). Conclusions: This study shows an association between spontaneous persistent HIV‐control and HCV spontaneous clearance. The study findings support the idea of preserved immune mechanisms in persistent HIV control implicated in HCV spontaneous clearance. These results highlight persistent HIV‐controllers but not transient controllers as a good model of functional HIV cure. [ABSTRACT FROM AUTHOR]

HIV-1 infections are characterized by the integration of the reverse transcribed genomic RNA into the host chromosomes making up the provirus. In addition to the integrated proviral DNA, there are other forms of linear and circular unintegrated viral DNA in HIV-1-infected cells. One of these forms, known as two-long terminal repeat circles, has been extensively studied and characterized both in in vitro infected cells and in cells from patients. Detection of two-long terminal repeat circles has been proposed as a marker of antiretroviral treatment efficacy or ongoing replication in patients with undetectable viral load. But not all authors agree with this use because of the uncertainty about the lifespan of the two-long terminal repeat circles. We review the major studies estimating the half-life of the two-long terminal repeat circles as well as those proposing its detection as a marker of ongoing replication or therapeutic efficacy. We also review the characteristic of these circular forms and the difficulties in its detection and quantification. The variety of approaches and methods used in the two-long terminal repeat quantification as well as the low reliability of some methods make the comparison between results difficult. We conclude that it is not possible to draw a clear supposition about the lifespan of two-long terminal repeat circles and consequently they should not be used as a marker of ongoing replication without a careful analysis of the methods and results [ABSTRACT FROM AUTHOR]

To analyze superinfection in an HIV-1-infected patient showing high-risk practices, viral quasispecies were analyzed in pol and env genes in several plasma samples. Phylogenetic analysis in the reverse transcriptase fragment in pol gene identified a single virus in the first 3 samples analyzed, but 12 years after primoinfection, 3 different viral strains were detected in the patient quasispecies. This result suggests a superinfection with 2 HIV-1 strains, one of which showed the T215Y + M184V resistance mutations. The analysis in the env gene confirmed the existence of 3 different strains in the viral population, one of them a recombinant. This study illustrates that events of superinfection and recombination contribute to the viral genetic variability observed in HIV-1-infected individuals.