HIV-1 Mutant Assembly, Processing and Infectivity Expresses Pol Independent of Gag

MicroRNAs in HIV infection: dual regulators of viral replication and host immunity

MicroRNAs (miRNAs) are small non-coding RNAs that play a crucial role in regulating gene expression by binding to target messenger RNAs (mRNAs), leading to their degradation or translational repression. Over the past few years, significant progress has been made in understanding the role of miRNAs in various biological processes, including viral infections such as human immunodeficiency virus (HIV). HIV infection is characterized by a complex interaction between the virus and the host's immune system, where miRNAs have emerged as key regulators. MiRNAs influence HIV infection by modulating both viral replication and the host immune response. Researchers have identified several host miRNAs that suppress or enhance HIV replication by targeting viral genes or host factors essential for the virus life cycle. Conversely, HIV has evolved mechanisms to manipulate the host's miRNA machinery to its advantage. The virus can downregulate or upregulate specific host miRNAs to create a more favorable environment for replication and persistence. Moreover, HIV infection can alter the expression profiles of various miRNAs in infected cells, which can contribute to immune dysregulation and disease progression. Dysregulation of miRNAs is associated with HIV-associated complications, such as neurocognitive disorders and cardiovascular diseases. Understanding the specific roles of miRNAs in HIV pathogenesis could lead to the development of novel therapeutic strategies, such as miRNA-based therapies, to control HIV infection and its associated comorbidities. Understanding the role of miRNAs in HIV infection reveals their significant influence on the complex interactions between the virus and the host, impacting the course of infection and disease progression. Also, continued research in miRNA-mediated mechanisms in HIV holds the potential for uncovering new insights into viral pathogenesis and developing innovative therapeutic approaches.

The design of retroviral vectors used in the CAR-T products, risk management, and future perspective

Chimeric antigen receptor T-cell (CAR-T) therapy is a revolutionary approach in cancer treatment. More than 10 CAR-T products have already approved on market worldly wide, and they use either gamma retroviral vectors or lentiviral vectors to deliver the CAR gene. Both vectors have the ability to effectively and persistently integrate the CAR gene into T cells. Despite the advancements in CAR-T therapy, the potential risks associated with the vectors, particularly the risks of the secondary malignancies, still remain as a concern. This article compares the characteristics of gamma retroviral and lentiviral vectors, discusses the development of vector packaging systems, and examines the design of self-inactivating (SIN) vectors. It also addresses the risks of secondary malignancies that might possibly be associated with the retroviral vectors, and the strategies to decrease the risks and increase the safer clinical use of the vectors. This article also discusses the current regulatory landscape and management approaches aiming to mitigate these risks through stringent safety measures and ongoing monitoring. Future perspectives focus on improving the safety profiles of the vectors and broadening their scope of use. The article provides a thorough overview of the most recent research discoveries and regulatory updates in the field of CAR-T therapy, highlighting the significance of a balanced strategy that strikes a balance between innovation and patient safety in the development and implementation of CAR-T therapy.

Web Service for HIV Drug Resistance Prediction Based on Analysis of Amino Acid Substitutions in Main Drug Targets

Predicting viral drug resistance is a significant medical concern. The importance of this problem stimulates the continuous development of experimental and new computational approaches. The use of computational approaches allows researchers to increase therapy effectiveness and reduce the time and expenses involved when the prescribed antiretroviral therapy is ineffective in the treatment of infection caused by the human immunodeficiency virus type 1 (HIV-1). We propose two machine learning methods and the appropriate models for predicting HIV drug resistance related to amino acid substitutions in HIV targets: (i) k-mers utilizing the random forest and the support vector machine algorithms of the scikit-learn library, and (ii) multi-n-grams using the Bayesian approach implemented in MultiPASSR software. Both multi-n-grams and k-mers were computed based on the amino acid sequences of HIV enzymes: reverse transcriptase and protease. The performance of the models was estimated by five-fold cross-validation. The resulting classification models have a relatively high reliability (minimum accuracy for the drugs is 0.82, maximum: 0.94) and were used to create a web application, HVR (HIV drug Resistance), for the prediction of HIV drug resistance to protease inhibitors and nucleoside and non-nucleoside reverse transcriptase inhibitors based on the analysis of the amino acid sequences of the appropriate HIV proteins from clinical samples.

Perturbing HIV-1 Ribosomal Frameshifting Frequency Reveals a cis Preference for Gag-Pol Incorporation into Assembling Virions

HIV-1 virion production is driven by Gag and Gag-Pol (GP) proteins, with Gag forming the bulk of the capsid and driving budding, while GP binds Gag to deliver the essential virion enzymes protease, reverse transcriptase, and integrase. Virion GP levels are traditionally thought to reflect the relative abundances of GP and Gag in cells (∼1:20), dictated by the frequency of a -1 programmed ribosomal frameshifting (PRF) event occurring in gag-pol mRNAs. Here, we exploited a panel of PRF mutant viruses to show that mechanisms in addition to PRF regulate GP incorporation into virions. First, we show that GP is enriched ∼3-fold in virions relative to cells, with viral infectivity being better maintained at subphysiological levels of GP than when GP levels are too high. Second, we report that GP is more efficiently incorporated into virions when Gag and GP are synthesized in cis (i.e., from the same gag-pol mRNA) than in trans, suggesting that Gag/GP translation and assembly are spatially coupled processes. Third, we show that, surprisingly, virions exhibit a strong upper limit to trans-delivered GP incorporation; an adaptation that appears to allow the virus to temper defects to GP/Gag cleavage that may negatively impact reverse transcription. Taking these results together, we propose a "weighted Goldilocks" scenario for HIV-1 GP incorporation, wherein combined mechanisms of GP enrichment and exclusion buffer virion infectivity over a broad range of local GP concentrations. These results provide new insights into the HIV-1 virion assembly pathway relevant to the anticipated efficacy of PRF-targeted antiviral strategies. IMPORTANCE HIV-1 infectivity requires incorporation of the Gag-Pol (GP) precursor polyprotein into virions during the process of virus particle assembly. Mechanisms dictating GP incorporation into assembling virions are poorly defined, with GP levels in virions traditionally thought to solely reflect relative levels of Gag and GP expressed in cells, dictated by the frequency of a -1 programmed ribosomal frameshifting (PRF) event that occurs in gag-pol mRNAs. Herein, we provide experimental support for a "weighted Goldilocks" scenario for GP incorporation, wherein the virus exploits both random and nonrandom mechanisms to buffer infectivity over a wide range of GP expression levels. These mechanistic data are relevant to ongoing efforts to develop antiviral strategies targeting PRF frequency and/or HIV-1 virion maturation.

Lentiviral Vectors for T Cell Engineering: Clinical Applications, Bioprocessing and Future Perspectives

Lentiviral vectors have played a critical role in the emergence of gene-modified cell therapies, specifically T cell therapies. Tisagenlecleucel (Kymriah), axicabtagene ciloleucel (Yescarta) and most recently brexucabtagene autoleucel (Tecartus) are examples of T cell therapies which are now commercially available for distribution after successfully obtaining EMA and FDA approval for the treatment of blood cancers. All three therapies rely on retroviral vectors to transduce the therapeutic chimeric antigen receptor (CAR) into T lymphocytes. Although these innovations represent promising new therapeutic avenues, major obstacles remain in making them readily available tools for medical care. This article reviews the biological principles as well as the bioprocessing of lentiviral (LV) vectors and adoptive T cell therapy. Clinical and engineering successes, shortcomings and future opportunities are also discussed. The development of Good Manufacturing Practice (GMP)-compliant instruments, technologies and protocols will play an essential role in the development of LV-engineered T cell therapies.

From Recoding to Peptides for MHC Class I Immune Display: Enriching Viral Expression, Virus Vulnerability and Virus Evasion

Many viruses, especially RNA viruses, utilize programmed ribosomal frameshifting and/or stop codon readthrough in their expression, and in the decoding of a few a UGA is dynamically redefined to specify selenocysteine. This recoding can effectively increase viral coding capacity and generate a set ratio of products with the same N-terminal domain(s) but different C-terminal domains. Recoding can also be regulatory or generate a product with the non-universal 21st directly encoded amino acid. Selection for translation speed in the expression of many viruses at the expense of fidelity creates host immune defensive opportunities. In contrast to host opportunism, certain viruses, including some persistent viruses, utilize recoding or adventitious frameshifting as part of their strategy to evade an immune response or specific drugs. Several instances of recoding in small intensively studied viruses escaped detection for many years and their identification resolved dilemmas. The fundamental importance of ribosome ratcheting is consistent with the initial strong view of invariant triplet decoding which however did not foresee the possibility of transitory anticodon:codon dissociation. Deep level dynamics and structural understanding of recoding is underway, and a high level structure relevant to the frameshifting required for expression of the SARS CoV-2 genome has just been determined.

Conditional activation of an HIV-1 protease attenuated mutant by a leucine zipper dimerization motif

Mature HIV-1 protease (PR) functions as a dimer. Changes in HIV-1 PR activation can block virus assembly via premature or enhanced Gag cleavage. HIV-1 PR precursor contains N terminal-linked p6*, a possible modulating factor in PR activation. We found that p6* replacement with a leucine zipper (LZ) dimerization motif (creating a DWzPR construct) or an LZ insertion at the PR C-terminus significantly reduced virus yields due to enhanced Gag cleavage, suggesting that an LZ insertion promotes PR activation by facilitating PR dimer formation. However, introducing T26S (a PR activity-attenuated mutation) into DWzPR strongly impaired Gag cleavage, except when the native C-terminal p6* tetrapeptide remained at the LZ/PR junction. LZ insertion at the PR C-terminus still strongly enhanced PR T26S Gag cleavage. Our data suggest that in addition to p6* mutations, a single amino acid substitution within PR can impair PR activation, likely due to conformational changes triggered by the PR precursor.