-
Microbiome Jun 2024Although the microbiota has been extensively associated with HIV pathogenesis, the majority of studies, particularly those using omics techniques, are largely... (Review)
Review
BACKGROUND
Although the microbiota has been extensively associated with HIV pathogenesis, the majority of studies, particularly those using omics techniques, are largely correlative and serve primarily as a basis for hypothesis generation. Furthermore, most have focused on characterizing the taxonomic composition of the bacterial component, often overlooking other levels of the microbiome. The intricate mechanisms by which the microbiota influences immune responses to HIV are still poorly understood. Interventional studies on gut microbiota provide a powerful tool to test the hypothesis of whether we can harness the microbiota to improve health outcomes in people with HIV.
RESULTS
Here, we review the multifaceted role of the gut microbiome in HIV/SIV disease progression and its potential as a therapeutic target. We explore the complex interplay between gut microbial dysbiosis and systemic inflammation, highlighting the potential for microbiome-based therapeutics to open new avenues in HIV management. These include exploring the efficacy of probiotics, prebiotics, fecal microbiota transplantation, and targeted dietary modifications. We also address the challenges inherent in this research area, such as the difficulty in inducing long-lasting microbiome alterations and the complexities of study designs, including variations in probiotic strains, donor selection for FMT, antibiotic conditioning regimens, and the hurdles in translating findings into clinical practice. Finally, we speculate on future directions for this rapidly evolving field, emphasizing the need for a more granular understanding of microbiome-immune interactions, the development of personalized microbiome-based therapies, and the application of novel technologies to identify potential therapeutic agents.
CONCLUSIONS
Our review underscores the importance of the gut microbiome in HIV/SIV disease and its potential as a target for innovative therapeutic strategies.
Topics: Gastrointestinal Microbiome; Dysbiosis; Humans; HIV Infections; Simian Acquired Immunodeficiency Syndrome; Probiotics; Fecal Microbiota Transplantation; Animals; Simian Immunodeficiency Virus; Prebiotics; HIV
PubMed: 38907315
DOI: 10.1186/s40168-024-01825-w -
Scientific Reports Jun 2024Diabetic retinopathy (DR) is a multifactorial disease displaying vascular-associated pathologies, including vascular leakage and neovascularization, ultimately leading...
Diabetic retinopathy (DR) is a multifactorial disease displaying vascular-associated pathologies, including vascular leakage and neovascularization, ultimately leading to visual impairment. However, animal models accurately reflecting these pathologies are lacking. Vascular endothelial growth factor A (VEGF-A) is an important factor in the development of micro- and macro-vascular pathology in DR. In this study, we evaluated the feasibility of using a cumate-inducible lentivirus (LV) mediated expression of vegf-a to understand DR pathology in vitro and in vivo. Retinal pigment epithelial cells (ARPE-19) were transduced with cumate-inducible LV expressing vegf-a, with subsequent analysis of vegf-a expression and its impact on cell proliferation, viability, motility, and permeability. Cumate tolerability in adult Wistar rat eyes was assessed as an initial step towards a potential DR animal model development, by administering cumate via intravitreal injections (IVT) and evaluating consequent effects by spectral domain optical coherence tomography (SD-OCT), flash electroretinography (fERG), ophthalmic examination (OE), and immunohistochemistry. Transduction of ARPE-19 cells with cumate-inducible LV resulted in ~ 2.5-fold increase in vegf-a mRNA and ~ threefold increase in VEGF-A protein secretion. Transduced cells displayed enhanced cell proliferation, viability, permeability, and migration in tube-like structures. However, IVT cumate injections led to apparent retinal toxicity, manifesting as retinal layer abnormalities, haemorrhage, vitreous opacities, and significant reductions in a- and b-wave amplitudes, along with increased microglial activation and reactive gliosis. In summary, while cumate-inducible LV-mediated vegf-a expression is valuable for in vitro mechanistic studies in cellular drug discovery, its use is not a feasible approach to model DR in in vivo studies due to cumate-induced retinal toxicity.
Topics: Animals; Vascular Endothelial Growth Factor A; Diabetic Retinopathy; Lentivirus; Rats; Retinal Pigment Epithelium; Humans; Rats, Wistar; Cell Proliferation; Disease Models, Animal; Cell Line; Intravitreal Injections; Male; Cell Movement; Cell Survival; Tomography, Optical Coherence; Genetic Vectors
PubMed: 38906906
DOI: 10.1038/s41598-024-63590-y -
Nature Communications Jun 2024Long-term non-progressors (LTNPs) of HIV-1 infection may provide important insights into mechanisms involved in viral control and pathogenesis. Here, our results suggest...
Long-term non-progressors (LTNPs) of HIV-1 infection may provide important insights into mechanisms involved in viral control and pathogenesis. Here, our results suggest that the ribosomal protein lateral stalk subunit P1 (RPLP1) is expressed at higher levels in LTNPs compared to regular progressors (RPs). Functionally, RPLP1 inhibits transcription of clade B HIV-1 strains by occupying the C/EBPβ binding sites in the viral long terminal repeat (LTR). This interaction requires the α-helixes 2 and 4 domains of RPLP1 and is evaded by HIV-1 group M subtype C and group N, O and P strains that do not require C/EBPβ for transcription. We further demonstrate that HIV-1-induced translocation of RPLP1 from the cytoplasm to the nucleus is essential for antiviral activity. Finally, knock-down of RPLP1 promotes reactivation of latent HIV-1 proviruses. Thus, RPLP1 may play a role in the maintenance of HIV-1 latency and resistance to RPLP1 restriction may contribute to the effective spread of clade C HIV-1 strains.
Topics: HIV-1; Humans; Ribosomal Proteins; HIV Long Terminal Repeat; CCAAT-Enhancer-Binding Protein-beta; HIV Infections; Transcription, Genetic; Protein Binding; Virus Latency; Binding Sites; Gene Expression Regulation, Viral; HEK293 Cells; Cell Nucleus
PubMed: 38906865
DOI: 10.1038/s41467-024-49622-1 -
PloS One 2024The battle against viral drug resistance highlights the need for innovative approaches to replace time-consuming and costly traditional methods. Deep generative models...
The battle against viral drug resistance highlights the need for innovative approaches to replace time-consuming and costly traditional methods. Deep generative models offer automation potential, especially in the fight against Human immunodeficiency virus (HIV), as they can synthesize diverse molecules effectively. In this paper, an application of an LSTM-based deep generative model named "LSTM-ProGen" is proposed to be tailored explicitly for the de novo design of drug candidate molecules that interact with a specific target protein (HIV-1 protease). LSTM-ProGen distinguishes itself by employing a long-short-term memory (LSTM) architecture, to generate novel molecules target specificity against the HIV-1 protease. Following a thorough training process involves fine-tuning LSTM-ProGen on a diverse range of compounds sourced from the ChEMBL database. The model was optimized to meet specific requirements, with multiple iterations to enhance its predictive capabilities and ensure it generates molecules that exhibit favorable target interactions. The training process encompasses an array of performance evaluation metrics, such as drug-likeness properties. Our evaluation includes extensive silico analysis using molecular docking and PCA-based visualization to explore the chemical space that the new molecules cover compared to those in the training set. These evaluations reveal that a subset of 12 de novo molecules generated by LSTM-ProGen exhibit a striking ability to interact with the target protein, rivaling or even surpassing the efficacy of native ligands. Extended versions with further refinement of LSTM-ProGen hold promise as versatile tools for designing efficacious and customized drug candidates tailored to specific targets, thus accelerating drug development and facilitating the discovery of new therapies for various diseases.
Topics: HIV Protease Inhibitors; Drug Design; Humans; HIV Protease; HIV-1; Acquired Immunodeficiency Syndrome; Molecular Docking Simulation
PubMed: 38905197
DOI: 10.1371/journal.pone.0303597 -
Frontiers in Public Health 2024To comprehensively investigate the molecular transmission patterns of HIV-1 genotypes among men who have sex with men (MSM) in Chongqing, we employed 392 pol sequences...
To comprehensively investigate the molecular transmission patterns of HIV-1 genotypes among men who have sex with men (MSM) in Chongqing, we employed 392 pol sequences of MSM to construct a phylogenetic tree and gene transmission network. Among the viral subtypes, CRF07_BC accounted for 73.2% (287/392) and CRF01_AE accounted for 20.7% (81/392), emerging as the predominant subtypes in this investigation. Additionally, we observed the presence of CRF55_01B, subtype B, CRF08_BC and other circulating recombinant forms. The HIV-1 molecular network was constructed with a gene distance threshold of 1.5%, resulting in an entry rate of 61.4% (241/392). Within the network, we identified a total of 23 molecular clusters, with the largest cluster being the CRF07_BC molecular cluster comprising 148 node values. Transmitted drug-resistance (TDR) mutations were found in 4.34% of the cases, with 1.79% associated with protease inhibitors (PIs), 0.51% with nucleoside reverse transcriptase inhibitors (NRTIs), and 2.55% with non-nucleoside reverse transcriptase inhibitors (NNRTIs). Statistical analysis indicated a higher enrollment rate in the HIV-1 molecular network among infected individuals with the CRF07_BC subtype, those identifying with same-sex sexual roles as "vers," and individuals with higher education levels. This suggests the need for strengthened investigation and intervention in this population to prevent the formation of larger transmission clusters. Furthermore, continuous monitoring of the HIV-1 molecular dynamics network is necessary to promptly and accurately track changes in molecular epidemic characteristics.
Topics: Humans; Male; China; Homosexuality, Male; HIV-1; Drug Resistance, Viral; Adult; Phylogeny; HIV Infections; Genotype; Acquired Immunodeficiency Syndrome; Middle Aged; Mutation
PubMed: 38903589
DOI: 10.3389/fpubh.2024.1308784 -
Frontiers in Public Health 2024Molecular epidemiology techniques allow us to track the HIV-1 transmission dynamics. Herein, we combined genetic, clinical and epidemiological data collected during...
BACKGROUND
Molecular epidemiology techniques allow us to track the HIV-1 transmission dynamics. Herein, we combined genetic, clinical and epidemiological data collected during routine clinical treatment to evaluate the dynamics and characteristics of transmission clusters of the most prevalent HIV-1 subtypes in the state of São Paulo, Brazil.
METHODS
This was a cross-sectional study conducted with 2,518 persons living with HIV (PLWH) from 53 cities in São Paulo state between Jan 2004 to Feb 2015. The phylogenetic tree of protease/reverse transcriptase (PR/RT) regions was reconstructed by PhyML and ClusterPicker used to infer the transmission clusters based on Shimodaira-Hasegawa (SH) greater than 90% (phylogenetic support) and genetic distance less than 6%.
RESULTS
Of a total of 2,518 sequences, 2,260 were pure subtypes at the PR/RT region, being B (88%), F1 (8.1%), and C (4%). About 21.2% were naïve with a transmitted drug resistance (TDR) rate of 11.8%. A total of 414 (18.3%) of the sequences clustered. These clusters were less evident in subtype B (17.7%) and F1 (15.1%) than in subtype C (40.2%). Clustered sequences were from PLWH at least 5 years younger than non-clustered among subtypes B ( < 0.001) and C ( = 0.037). Men who have sex with men (MSM) predominated the cluster in subtype B (51%), C (85.7%), and F1 (63.6%; < 0.05). The TDR rate in clustered patients was 15.4, 13.6, and 3.1% for subtypes B, F1, and C, respectively. Most of the infections in subtypes B (80%), C (64%), and F1 (59%) occurred within the state of São Paulo. The metropolitan area of São Paulo presented a high level of endogenous clustering for subtypes B and C. The São Paulo city had 46% endogenous clusters of subtype C.
CONCLUSION
Our findings showed that MSM, antiretroviral therapy in Treatment-Naive (ART-naïve) patients, and HIV1-C, played an important role in the HIV epidemic in the São Paulo state. Further studies in transmission clusters are needed to guide the prevention intervention.
Topics: Humans; Brazil; HIV-1; Male; Cross-Sectional Studies; HIV Infections; Adult; Female; Middle Aged; Phylogeny; Molecular Epidemiology; Cluster Analysis; Young Adult; Adolescent; Drug Resistance, Viral
PubMed: 38903572
DOI: 10.3389/fpubh.2024.1384512 -
Frontiers in Immunology 2024The HVTN 105 vaccine clinical trial tested four combinations of two immunogens - the DNA vaccine DNA-HIV-PT123, and the protein vaccine AIDSVAX B/E. All combinations...
SWIFT clustering analysis of intracellular cytokine staining flow cytometry data of the HVTN 105 vaccine trial reveals high frequencies of HIV-specific CD4+ T cell responses and associations with humoral responses.
INTRODUCTION
The HVTN 105 vaccine clinical trial tested four combinations of two immunogens - the DNA vaccine DNA-HIV-PT123, and the protein vaccine AIDSVAX B/E. All combinations induced substantial antibody and CD4+ T cell responses in many participants. We have now re-examined the intracellular cytokine staining flow cytometry data using the high-resolution SWIFT clustering algorithm, which is very effective for enumerating rare populations such as antigen-responsive T cells, and also determined correlations between the antibody and T cell responses.
METHODS
Flow cytometry samples across all the analysis batches were registered using the swiftReg registration tool, which reduces batch variation without compromising biological variation. Registered data were clustered using the SWIFT algorithm, and cluster template competition was used to identify clusters of antigen-responsive T cells and to separate these from constitutive cytokine producing cell clusters.
RESULTS
Registration strongly reduced batch variation among batches analyzed across several months. This in-depth clustering analysis identified a greater proportion of responders than the original analysis. A subset of antigen-responsive clusters producing IL-21 was identified. The cytokine patterns in each vaccine group were related to the type of vaccine - protein antigens tended to induce more cells producing IL-2 but not IFN-γ, whereas DNA vaccines tended to induce more IL-2+ IFN-γ+ CD4 T cells. Several significant correlations were identified between specific antibody responses and antigen-responsive T cell clusters. The best correlations were not necessarily observed with the strongest antibody or T cell responses.
CONCLUSION
In the complex HVTN105 dataset, alternative analysis methods increased sensitivity of the detection of antigen-specific T cells; increased the number of identified vaccine responders; identified a small IL-21-producing T cell population; and demonstrated significant correlations between specific T cell populations and serum antibody responses. Multiple analysis strategies may be valuable for extracting the most information from large, complex studies.
Topics: Humans; AIDS Vaccines; CD4-Positive T-Lymphocytes; Flow Cytometry; Cluster Analysis; HIV Infections; Cytokines; Immunity, Humoral; HIV Antibodies; HIV-1; Vaccines, DNA; Interleukins
PubMed: 38903517
DOI: 10.3389/fimmu.2024.1347926 -
Frontiers in Immunology 2024Heart transplantation is associated with major hurdles, including the limited number of available organs for transplantation, the risk of rejection due to genetic...
Heart transplantation is associated with major hurdles, including the limited number of available organs for transplantation, the risk of rejection due to genetic discrepancies, and the burden of immunosuppression. In this study, we demonstrated the feasibility of permanent genetic engineering of the heart during perfusion. Lentiviral vectors encoding for short hairpin RNAs targeting beta2-microglobulin (shβ2m) and class II transactivator (shCIITA) were delivered to the graft during two hours of normothermic EVHP. Highly efficient genetic engineering was indicated by stable reporter gene expression in endothelial cells and cardiomyocytes. Remarkably, swine leucocyte antigen (SLA) class I and SLA class II expression levels were decreased by 66% and 76%, respectively, in the vascular endothelium. Evaluation of lactate, troponin T, and LDH levels in the perfusate and histological analysis showed no additional cell injury or tissue damage caused by lentiviral vectors. Moreover, cytokine secretion profiles (IL-6, IL-8, and TNF-α) of non-transduced and lentiviral vector-transduced hearts were comparable. This study demonstrated the generation of genetically engineered hearts without compromising tissue integrity. Downregulation of SLA expression may contribute to reduce the immunogenicity of the heart and support graft survival after allogeneic or xenogeneic transplantation.
Topics: Animals; Lentivirus; Heart Transplantation; Genetic Vectors; Swine; Histocompatibility Antigens Class I; Perfusion; Histocompatibility Antigens Class II; beta 2-Microglobulin; Cytokines; Genetic Engineering; Myocytes, Cardiac; Humans; RNA, Small Interfering; Graft Survival; Endothelial Cells; Nuclear Proteins; Trans-Activators
PubMed: 38903492
DOI: 10.3389/fimmu.2024.1404668 -
Genomics, Proteomics & Bioinformatics May 2024Despite the success of antiretroviral therapy, human immunodeficiency virus (HIV) cannot be cured because of a reservoir of latently infected cells that evades therapy....
Despite the success of antiretroviral therapy, human immunodeficiency virus (HIV) cannot be cured because of a reservoir of latently infected cells that evades therapy. To understand the mechanisms of HIV latency, we employed an integrated single-cell RNA sequencing (scRNA-seq) and single-cell assay for transposase-accessible chromatin with sequencing (scATAC-seq) approach to simultaneously profile the transcriptomic and epigenomic characteristics of ∼ 125,000 latently infected primary CD4+ T cells after reactivation using three different latency reversing agents. Differentially expressed genes and differentially accessible motifs were used to examine transcriptional pathways and transcription factor (TF) activities across the cell population. We identified cellular transcripts and TFs whose expression/activity was correlated with viral reactivation and demonstrated that a machine learning model trained on these data was 75%-79% accurate at predicting viral reactivation. Finally, we validated the role of two candidate HIV-regulating factors, FOXP1 and GATA3, in viral transcription. These data demonstrate the power of integrated multimodal single-cell analysis to uncover novel relationships between host cell factors and HIV latency.
Topics: Virus Latency; Humans; Virus Activation; Single-Cell Analysis; HIV-1; CD4-Positive T-Lymphocytes; GATA3 Transcription Factor; Forkhead Transcription Factors; HIV Infections; Repressor Proteins; Transcriptome; Gene Expression Regulation, Viral
PubMed: 38902848
DOI: 10.1093/gpbjnl/qzae003 -
AIDS Research and Therapy Jun 2024The World Health Organisation has implemented multiple HIV prevention policies and strived to achieve the 90-90-90 goal by 2020, achieving the 95-95-95 goal by 2030,...
INTRODUCTION
The World Health Organisation has implemented multiple HIV prevention policies and strived to achieve the 90-90-90 goal by 2020, achieving the 95-95-95 goal by 2030, which refers to 95% of patients living with HIV knowing their HIV status, 95% of patients living with HIV receiving continual care and medication, and 95% of patients living with HIV exhibiting viral suppression. However, how to measure the status of viral suppression varies, and it is hard to indicate the quality of HIV care. The study aimed to examine the long-term viral load suppression in these cases and explore potential factors affecting the control of long-term viral load.
METHODS
This study analyzed viral load testing data from HIV patients who are still alive during the period from notification up to 2019-2020. Three indicators were calculated, including durable viral suppression, Viremia copy-years, and Viral load > 1,500 copies/ml, to assess the differences between them.
RESULTS
Among the 27,706 cases included in the study, the proportion of persistent viral load suppression was 87%, with 4% having viral loads exceeding 1,500 copies/ml. The average duration from notification to viral load suppression was 154 days, and the geometric mean of annual viral replication was 90 copies*years/ml. Regarding the last available viral load measurement, 96% of cases had an undetectable viral load. However, we observed that 9.3% of cases, while having an undetectable viral load for their last measurement, did not show consistent long-term viral load suppression. An analysis of factors associated with non-persistent viral load suppression revealed higher risk in younger age groups, individuals with an educational level of high school or below, injection drug users, cases from the eastern region, those seeking care at regional hospitals, cases with drug resistance data, individuals with lower healthcare continuity, and those with an initial CD4 count below 350 during the study period.
CONCLUSIONS
The recommendation is to combine it with the indicator of sustained viral load suppression for a more accurate assessment of the risk of HIV transmission within the infected community.
Topics: Humans; Viral Load; HIV Infections; Male; Female; Adult; Taiwan; Middle Aged; Anti-HIV Agents; Young Adult; Aged; Adolescent; HIV-1; Sustained Virologic Response
PubMed: 38902777
DOI: 10.1186/s12981-024-00626-3