RNAi as a treatment for HIV-1 infection

Human immunodeficiency virus type 1 (HIV-1) was the first primate virus shown to be inhibited by RNA interference (RNAi). Early studies used both synthetic and promoter expressed small interfering RNAs (siRNAs) or expressed short hairpin RNAs (shRNAs) to demonstrate that this virus was susceptible to RNAi. In addition to targeting the virus itself RNAi-mediated down-regulation of cellular targets that encode receptors required for viral entry also proved to be effective. The power of RNAi as an anti-HIV agent has propelled development of RNAi-based gene therapy approaches for the treatment of HIV infection in humans. Nevertheless, extensive in vitro experimentation has revealed potential problems of viral escape mutants and other toxicities caused by the si/shRNAs. This review covers the progress and problems in the development of RNAi for the treatment of HIV infection. Potential modalities for clinical application of RNAi in the treatment of HIV-1 infection are also described.     

RNA interference as a tool for exploring HIV-1 robustness

Short interfering RNAs (siRNAs) that target viral genes can efficiently inhibit human immunodeficiency virus type 1 (HIV-1) replication. Nevertheless, there is the potential for viral escape, particularly with a highly mutable target such as HIV-1. We present a novel strategy for anticipating and preventing viral escape using second-generation siRNAs. The evolutionary capacity of HIV-1 was tested by exerting strong selective pressure on a highly conserved sequence in the HIV-1 genome. We assayed the antiviral efficacy of five overlapping siRNAs directed against an essential region of the HIV-1 protease. Serial viral transfers in U87-CD4-CXCR4 cells were performed using four of the siRNAs. This procedure was repeated until virus breakthrough was detected. After several serial culture passages, resistant virus with a single point mutation in the targeted region was detected in the culture supernatants. The emergence of resistant virus was confirmed by molecular cloning and DNA sequencing of viral RNA. The most common escape route was the D30N mutation. Importantly, the addition of a second-generation siRNA that matched the D30N mutation restored viral inhibition and delayed development of escape variants. Passages performed with both siRNAs prevented the emergence of the D30N escape mutant and forced the virus to develop new escape routes. Thus, second-generation siRNAs can be used to block escape from RNA interference (RNAi) and to search for new RNAi escape routes. The protocol described here may be useful for exploring the sequence space available for HIV-1 evolution and for producing attenuated or deleterious viruses.     

CD4-gp120 interaction interface - a gateway for HIV-1 infection in human: molecular network,modeling and docking studies

The major causative agent for Acquired Immune Deficiency Syndrome (AIDS) is Human Immunodeficiency Virus-1 (HIV-1). HIV-1 is a predominant subtype of HIV which counts on human cellular mechanism virtually in every aspect of its life cycle. Binding of viral envelope glycoprotein-gp120 with human cell surface CD4 receptor triggers the early infection stage of HIV-1. This study focuses on the interaction interface between these two proteins that play a crucial role for viral infectivity. The CD4–gp120 interaction interface has been studied through a comprehensive protein–protein interaction network (PPIN) analysis and highlighted as a useful step towards identifying potential therapeutic drug targets against HIV-1 infection. We prioritized gp41, Nef and Tat proteins of HIV-1 as valuable drug targets at early stage of viral infection. Lack of crystal structure has made it difficult to understand the biological implication of these proteins during disease progression. Here, computational protein modeling techniques and molecular dynamics simulations were performed to generate three-dimensional models of these targets. Besides, molecular docking was initiated to determine the desirability of these target proteins for already available HIV-1 specific drugs which indicates the usefulness of these protein structures to identify an effective drug combination therapy against AIDS.     

靶向HIV-1 vif的高效siRNA的筛选及慢病毒介导的体外抗病毒研究

RNAi技术在艾滋病治疗研究中已展现出巨大的潜力,兼具高效抑制特性和保守性的siRNA靶位是其获得成功应用的重要基础.本研究选择以HIV-1 vif基因为靶区筛选高效保守的RNAi序列,共选择设计了30个识别不同位点的siRNA序列,以pSUPER为载体构建了相应的shRNA表达质粒.通过与pNL4-3质粒在293FT细胞中进行共转染抑制实验,以及对初筛获得的高效序列进行保守性分析显示siRNA-vif37序列具有高效抑制效率和较好的保守性特征.通过与pGL3-vif报告质粒的共转染实验证明siRNA-vif37具有vif基因抑制特异性.带有shRNA-vif37表达元件的重组慢病毒转导后的MT-4细胞在HIV-1NL4-3体外攻毒实验中可显示出较有效的抑制病毒复制的能力,本研究进一步对转导后细胞进行克隆化筛选,获得稳定整合shRNA-vif37表达元件的MT-4-vif37细胞克隆,该细胞具有显著的抑制病毒复制的能力,在高攻毒剂量下仍可获得良好的抑制效果.本研究为进一步应用RNAi技术进行新型艾滋病治疗方法研究提供了重要基础.     

Updates on CRISPR-based gene editing in HIV-1/AIDS therapy

Although tremendous efforts have been made to prevent and treat HIV-1 infection, HIV-1/AIDS remains a major threat to global human health. The combination antiretroviral therapy (cART), although able to suppress HIV-1 replication, cannot eliminate the proviral DNA integrated into the human genome and thus requires lifelong treatment that may lead to various side effects. In recent years, clustered regularly interspaced short palindromic repeat (CRISPR)-associated nuclease 9 (Cas9) related gene-editing systems have been developed and designed as effective ways to treat HIV-1 infection. However, new gene-targeting tools derived from or functioning like CRISPR/Cas9, including base editor, prime editing, SHERLOCK, DETECTR, PAC-MAN, ABACAS, pfAGO, have been developed and optimized for pathogens detection and diseases correction. Here, we summarize recent studies on HIV-1/AIDS gene therapy and provide more gene-editing targets based on studies relating to the molecular mechanism of HIV-1 infection. We also identify the strategies and potential applications of these new gene-editing technologies for HIV-1/AIDS treatment in the future. Moreover, we discuss the caveats and problems that should be addressed before the clinical use of these versatile CRISPR-based gene targeting tools. Finally, we offer alternative solutions to improve the practice of gene targeting in HIV-1/AIDS gene therapy.     

Computational analysis of HIV-1 resistance based on gene expression profiles and the virus-host interaction network

A very small proportion of people remain negative for HIV infection after repeated HIV-1 viral exposure, which is called HIV-1 resistance. Understanding the mechanism of HIV-1 resistance is important for the development of HIV-1 vaccines and Acquired Immune Deficiency Syndrome (AIDS) therapies. In this study, we analyzed the gene expression profiles of CD4+ T cells from HIV-1-resistant individuals and HIV-susceptible individuals. One hundred eighty-five discriminative HIV-1 resistance genes were identified using the Minimum Redundancy-Maximum Relevance (mRMR) and Incremental Feature Selection (IFS) methods. The virus protein target enrichment analysis of the 185 HIV-1 resistance genes suggested that the HIV-1 protein nef might play an important role in HIV-1 infection. Moreover, we identified 29 infection information exchanger genes from the 185 HIV-1 resistance genes based on a virus-host interaction network analysis. The infection information exchanger genes are located on the shortest paths between virus-targeted proteins and are important for the coordination of virus infection. These proteins may be useful targets for AIDS prevention or therapy, as intervention in these pathways could disrupt communication with virus-targeted proteins and HIV-1 infection.     

Substrate shape determines specificity of recognition for HIV-1 protease: analysis of crystal structures of six substrate complexes

The homodimeric HIV-1 protease is the target of some of the most effective antiviral AIDS therapy, as it facilitates viral maturation by cleaving ten asymmetric and nonhomologous sequences in the Gag and Pol polyproteins. Since the specificity of this enzyme is not easily determined from the sequences of these cleavage sites alone, we solved the crystal structures of complexes of an inactive variant (D25N) of HIV-1 protease with six peptides that correspond to the natural substrate cleavage sites. When the protease binds to its substrate and buries nearly 1000 A2 of surface area, the symmetry of the protease is broken, yet most internal hydrogen bonds and waters are conserved. However, no substrate side chain hydrogen bond is conserved. Specificity of HIV-1 protease appears to be determined by an asymmetric shape rather than a particular amino acid sequence.     

Effective suppression of HIV-1 by artificial bispecific miRNA targeting conserved sequences with tolerance for wobble base-pairing

The high genetic diversity and mutability of HIV pose a major problem for RNAi-mediated antiviral therapy. Simultaneous targeting of multiple highly conserved viral sequences has been suggested for durable cross-clade inhibition. Here we validate the approach of co-targeting two conserved sequences in the Tat and Vif genes. When coexpressed as artificial microRNA from a PolII driven miR-155-based vector, the sequences together mediated effective and sustained inhibition of HIV replication without virus breakout. To understand the nature of this efficient control, we analyzed genome sequences of 625 HIV-1 isolates in the Los Alamos Sequence database. Interestingly most natural variants were capable of wobble binding with the Tat/Vif siRNAs. Efficient silencing of reporter luciferase constructs bearing these variants residues verified that the Tat/Vif sequences together tolerated wobble binding and mediated functional RNAi. We propose the rationale of targeting highly conserved HIV sequences where wobble substitutions permit functional RNAi for global HIV repression.     

Modeling the short-, middle- and long-term viral load responses for comparing estimated dynamic parameters

A virologic marker, the number of HIV RNA copies or viral load, is currently used to evaluate antiviral therapies in AIDS clinical trials. This marker can be used to assess the antiviral potency of therapies, but is easily affected by drug exposures, drug resistance and other factors during the long-term treatment evaluation process. The study of HIV dynamics is one of the most important development in recent AIDS research for understanding the pathogenesis of HIV-1 infection and antiviral treatment strategies. Although many HIV dynamic models have been proposed by AIDS researchers in the last decade, they have only been used to quantify short-term viral dynamics and do not correctly describe long-term virologic responses to antiretroviral treatment. In other words, these simple viral dynamic models can only be used to fit short-term viral load data for estimating dynamic parameters. In this paper, a mechanism-based differential equation models is introduced for characterizing the long-term viral dynamics with antiretroviral therapy. We applied this model to fit different segments of the viral load trajectory data from a simulation experiment and an AIDS clinical trial study, and found that the estimates of dynamic parameters from our modeling approach are very consistent. We may conclude that our model can not only characterize long-term viral dynamics, but can also quantify short- and middle-term viral dynamics. It suggests that if there are enough data in the early stage of the treatment, the results from our modeling based on short-term information can be used to capture the performance of long-term care with HIV-1 infected patients.     

Human immunodeficiency virus type 1 escape from RNA interference

Sequence-specific degradation of mRNA by short interfering RNA (siRNA) allows the selective inhibition of viral proteins that are critical for human immunodeficiency virus type 1 (HIV-1) replication. The aim of this study was to characterize the potency and durability of virus-specific RNA interference (RNAi) in cell lines that stably express short hairpin RNA (shRNA) targeting the HIV-1 transactivator protein gene tat. We found that the antiviral activity of tat shRNA was abolished due to the emergence of viral quasispecies harboring a point mutation in the shRNA target region. Our results suggest that, in order for RNAi to durably suppress HIV-1 replication, it may be necessary to target highly conserved regions of the viral genome. Alternatively, similar to present antiviral drug therapy paradigms, DNA constructs expressing multiple siRNAs need to be developed that target different regions of the viral genome, thereby reducing the probability of generating escape mutants.     

Knockdown of Cellular RNA Helicase DDX3 by Short Hairpin RNAs Suppresses HIV-1 Viral Replication Without Inducing Apoptosis

The targeting of a cellular co-factor, rather than the HIV-1-specific RNAs, by small interfering RNAs holds promise as the rapid mutational ability of the HIV-1 genome may obviate the potential clinical use of RNAi against this virus. The DEAD-box RNA helicase DDX3 is an essential Rev co-factor in the CRM1-Rev-RRE complex that promotes the export of unspliced and single-spliced HIV-1 RNAs from the nucleus to cytoplasm. In this report, human DDX3 was targeted by specific short hairpin RNAs, and the down-regulation of cell's endogenous DDX3 suppressed the nuclear export of unspliced HIV-1 RNAs but did not affect the cell viability. We further showed that the knockdown of cellular DDX3 could effectively inhibit the replication of HIV-1. Therefore, the current results suggest that the RNA helicase DDX3 may become a potential target by RNAi for future genetic therapy of HIV/AIDS.     

Human immunodeficiency virus type 1 escape is restricted when conserved genome sequences are targeted by RNA interference

RNA interference (RNAi) is a cellular mechanism in which small interfering RNAs (siRNAs) mediate sequence-specific gene silencing by cleaving the targeted mRNA. RNAi can be used as an antiviral approach to silence the human immunodeficiency virus type 1 (HIV-1) through stable expression of short-hairpin RNAs (shRNAs). We previously reported efficient HIV-1 inhibition by an shRNA against the nonessential nef gene but also described viral escape by mutation or deletion of the nef target sequence. The objective of this study was to obtain insight in the viral escape routes when essential and highly conserved sequences are targeted in the Gag, protease, integrase, and Tat-Rev regions of HIV-1. Target sequences were analyzed of more than 500 escape viruses that were selected in T cells expressing individual shRNAs. Viruses acquired single point mutations, occasionally secondary mutations, but—in contrast to what is observed with nef—no deletions were detected. Mutations occurred predominantly at target positions 6, 8, 9, 14, and 15, whereas none were selected at positions 1, 2, 5, 18, and 19. We also analyzed the type of mismatch in the siRNA-target RNA duplex, and G-U base pairs were frequently selected. These results provide insight into the sequence requirements for optimal RNAi inhibition. This knowledge on RNAi escape may guide the design and selection of shRNAs for the development of an effective RNAi therapy for HIV-1 infections.     

Fighting a virus with a virus: a dynamic model for HIV-1 therapy

A mathematical model examined a potential therapy for controlling viral infections using genetically modified viruses. The control of the infection is an indirect effect of the selective elimination by an engineered virus of infected cells that are the source of the pathogens. Therefore, this engineered virus could greatly compensate for a dysfunctional immune system compromised by AIDS. In vitro studies using engineered viruses have been shown to decrease the HIV-1 load about 1000-fold. However, the efficacy of this potential treatment for reducing the viral load in AIDS patients is unknown. The present model studied the interactions among the HIV-1 virus, its main host cell (activated CD4+ T cells), and a therapeutic engineered virus in an in vivo context; and it examined the conditions for controlling the pathogen. This model predicted a significant drop in the HIV-1 load, but the treatment does not eradicate HIV. A basic estimation using a currently engineered virus indicated an HIV-1 load reduction of 92% and a recovery of host cells to 17% of their normal level. Greater success (98% HIV reduction, 44% host cells recovery) is expected as more competent engineered viruses are designed. These results suggest that therapy using viruses could be an alternative to extend the survival of AIDS patients.     

Bioinformatics studies on drug resistance against anti-HIV-1 drugs

More than 20 drugs have been available for anti-HIV-1 treatment in Japan. Combination therapy with these drugs dramatically decreases in morbidity and mortality of AIDS. However, due to high mutation rate of HIV-1, treatment with ineffective drugs toward patients infected with HIV-1 causes accumulation of mutations in the virus, and emergence of drug resistant viruses. Thus, to achieve appropriate application of the drugs toward the respective patients living with HIV-1, methods for predicting the level of drug-resistance using viral sequence information has been developed on the basis of bioinformatics. Furthermore, ultra-deep sequencing by next-generation sequencer whose data analysis is also based on bioinformatics, or in silico structural modeling have been achieved to understand drug resistant mechanisms. In this review, I overview the bioinformatics studies about drug resistance against anti-HIV-1 drugs.