Search Results (193)

Background/Objectives: Despite medical advances, stigma remains a major challenge for people living with HIV (PLWH). This study examined clinical, sociodemographic, and psychological predictors of HIV-related stigma, and explored whether affective temperament moderates the impact of depression on stigma. Methods: This cross-sectional observational study included 97 PLWH attending a tertiary infectious disease unit in Rome, Italy. Participants completed a battery of validated psychometric instruments assessing depressive symptoms, anxiety, manic symptoms, mixed affective states, general psychopathology, impulsivity, and affective temperament. HIV-related stigma was evaluated using the Berger HIV Stigma Scale, which measures personalized stigma, disclosure concerns, negative self-image, and concerns with public attitudes. Descriptive statistics were used to characterize the sample. Univariate linear regressions were conducted to explore associations between clinical, psychometric, and sociodemographic variables and each stigma subdimension, as well as the total stigma score. Variables significant at p < 0.05 were included in five multivariate linear regression models. Moderation analyses were subsequently performed to assess whether affective temperaments moderated the relationship between significant psychopathological predictors and stigma. Bonferroni correction was applied where appropriate. Results: Higher depressive symptom scores are significantly associated with greater internalized stigma (B = 0.902, p = 0.006) and total stigma (B = 2.603, p = 0.008). Furthermore, moderation analyses showed that anxious temperament significantly intensified the relationship between depressive symptoms and both negative self-image (interaction term B = 0.125, p = 0.001) and total stigma (B = 0.336, p = 0.002). Conclusions: Depressive symptoms and anxious temperament are associated with HIV-related stigma. Integrating psychological screening and targeted interventions for mood and temperament vulnerabilities may help reduce stigma burden in PLWH and improve psychosocial outcomes. Full article

Improved antiretroviral therapy (ART) has significantly increased the life expectancy of people living with HIV (PLWH). At the same time, other complications like metabolic syndrome (MetS) are coming up as new challenges to handle. This review aims to explore the emerging evidence of gut microbiome and virome alterations in human immunodeficiency virus-1 (HIV-1) infection and associated metabolic disorders, such as type-2 diabetes (T2DM) and cardiovascular disease (CVD), with a focus on their interplay, contribution to immune dysfunction, and potential as therapeutic targets. We conducted a comprehensive review of the current literature on gut bacteriome and virome changes in HIV-1-infected individuals and those with metabolic comorbidities emphasizing their complex interplay and potential as biomarkers or therapeutic targets. HIV-1 infection disrupts gut microbial homeostasis, promoting bacterial translocation, systemic inflammation, and metabolic dysregulation. Similarly, metabolic disorders are marked by reduced beneficial short-chain fatty acid-producing bacteria and an increase in pro-inflammatory taxa. Alterations in the gut virome, particularly involving bacteriophages, may exacerbate bacterial dysbiosis and immune dysfunction. Conversely, some viral populations have been associated with immune restoration post-ART. These findings point toward a dynamic and bidirectional relationship between the gut virome, bacteriome, and host immunity. Targeted interventions such as microbiome modulation and fecal virome transplantation (FVT) offer promising avenues for restoring gut homeostasis and improving long-term outcomes in PLWH. Full article

Treatment for HIV infection has become more manageable due to advances in combination antiretroviral therapy (cART). However, HIV still significantly affects the central nervous system (CNS) in infected individuals, even with effective plasma viral suppression, due to persistent viral reservoirs and chronic neuroinflammation. This ongoing inflammation contributes to the development of HIV-associated neurocognitive disorders (HANDs), including dementia and Alzheimer’s disease-like pathology. These complications are particularly prevalent among the aging population with HIV. This review aims to provide a comprehensive overview of HAND, with a focus on the contribution of oxidative stress induced by HIV-mediated reactive oxygen species (ROS) production through viral proteins such as gp120, Tat, Nef, Vpr, and reverse transcriptase. In addition, we discuss current and emerging therapeutic interventions targeting HAND, including antioxidant strategies and poly (ADP-ribose) polymerase (PARP) inhibitors. These are potential adjunctive approaches to mitigate neuroinflammation and oxidative damage in the CNS. Full article

Background: Zoonotic infection with Mycobacterium bovis continues to occur, particularly in regions lacking bovine tuberculosis surveillance and where the consumption of unpasteurized dairy products, including artisanal cheeses, is common. We describe the clinical and microbiological characteristics, diagnostic procedures, and treatment outcomes of individuals with HIV with M. bovis infection. Methods: We conducted a retrospective study analyzing sociodemographic, clinical, microbiological, and computed tomography (CT) data, as well as treatment outcomes, in 12 patients with HIV with confirmed M. bovis infection. These findings were compared with those of 14 individuals with HIV diagnosed with Mycobacterium tuberculosis infection during the same period. Results: Consumption of unpasteurized dairy products was significantly associated with M. bovis. Patients with M. bovis infection had higher CD4+ T-cell counts compared to those with M. tuberculosis infection (p = 0.01, r = 0.45). All M. bovis cases presented with extrapulmonary disease. CT imaging in M. bovis infection more frequently demonstrated retroperitoneal lymphadenopathy, hepatosplenomegaly, and splenic abscesses compared to M. tuberculosis infection. Microbiological identification was exclusively from extrapulmonary sites in all M. bovis cases. Surgical interventions, including abscess drainage or splenectomy, were significantly more common among M. bovis patients. Conclusions: M. bovis infection in individuals with HIV is characterized by consistent extrapulmonary, often abdominal, involvement. Surgical procedures are frequently required for both diagnosis and management. Targeted efforts to identify M. bovis are warranted, particularly in high-burden regions where unpasteurized dairy consumption remains prevalent. Full article

Background/Objectives: An optimal approach to addressing oral antiretroviral therapy (ART) adherence remains unclear in the research literature. This review aimed to identify definitions and thresholds of adherence, proposed methods and frequencies of evaluating adherence levels, barriers to adherence, and interventions to address adherence problems. Methods: A scoping review of HIV guidelines drew on guidance from the Joanna Briggs Institute. Eligible English and French guidelines and their updates concerned adults with HIV and oral ART from developed countries and international health organizations from 2017 to May 2023. Three databases were systematically searched, along with the gray literature. Then, a targeted search for omitted developed countries was conducted. Document selection and data charting were performed with two reviewers for 20% of records and full texts, followed by an independent review. Inductive–deductive content analysis of extracted data was performed using NVivo 14 software. Results: Twenty-four guidelines were identified from seven countries and two international health organizations. Only two defined ART adherence, and none offered a threshold for adequate adherence. Most guidelines (n = 22/24) reported adherence interventions, 20 guidelines (83%) identified adherence barriers, 20 guidelines (83%) noted variable methods to evaluate adherence, and 17 guidelines (71%) proposed a range of frequencies for assessing adherence. Conclusions: This review underscored a lack of consensus around adherence and its management. Very few guidelines defined adherence, none proposed an optimal threshold, and there was no agreement on how to gauge adherence. These gaps and variability raise questions about how clinicians manage adherence in practice. More systematic and preventative approaches to monitoring adherence may be needed. Full article

This study examines the trends, impacts, and challenges of HIV in Bangladesh from 2000 to 2024, with a focus on its epidemiology, demographic distribution, and socioeconomic determinants. Despite maintaining one of the lowest HIV prevalence rates globally (<0.1%), Bangladesh faces a concentrated epidemic among high-risk populations, including people who inject drugs (PWID), men who have sex with men (MSM), sex workers, transgender individuals, and migrant workers. Analysis reveals a steady increase in reported infections, attributed to enhanced diagnostic capacities and public awareness. The 25–49 year age group remains the most affected, accounting for over 65% of cases, underscoring the vulnerability of the economically active population. Gender disparities persist, with males representing the majority of infections but lower ART coverage among females and transgender individuals. While interventions such as PMTCT programs, ART expansion, and targeted awareness campaigns have contributed to improved outcomes, barriers such as stigma, healthcare inequities, and limited rural access hinder progress. The study also evaluates Bangladesh’s progress toward the 95-95-95 targets, highlighting significant strides in treatment and viral suppression but gaps in diagnosis. Future research must address behavioral trends, stigma reduction, and integration of HIV services for marginalized populations. This paper emphasizes the need for evidence-based strategies to ensure equitable healthcare delivery and sustainable progress in combating HIV. Full article

HIV-1 Tat acts as a central molecular switch governing the transition between viral latency and active replication, making it a pivotal target for HIV-1 functional cure strategies. By binding to the viral long terminal repeat (LTR) and hijacking host transcriptional machinery, Tat dynamically regulates RNA polymerase II processivity to alter viral transcription states. Recent studies reveal its context-dependent variability: while Tat recruits chromatin modifiers and scaffolds non-coding RNAs to stabilize epigenetic silencing in latently infected cells, it also triggers rapid transcriptional amplification upon cellular activation. This review systematically analyzes the bistable regulatory mechanism of Tat and investigates advanced technologies for reprogramming this switch to eliminateviral reservoirs and achieve functional cures. Conventional approaches targeting Tat are limited by compensatory viral evolution and poor bioavailability. Next-generation interventions will employ precision-engineered tools, such as AI-optimized small molecules blocking Tat-P-TEFb interfaces and CRISPR-dCas9/Tat chimeric systems, for locus-specific LTR silencing or reactivation (“block and lock” or “shock and kill”). Advanced delivery platforms, including brain-penetrant lipid nanoparticles (LNPs), enable the targeted delivery of Tat-editing mRNA or base editors to microglial reservoirs. Single-cell multiomics elucidates Tat-mediated clonal heterogeneity, identifying “switchable” subpopulations for timed interventions. By integrating systems-level Tat interactomics, epigenetic engineering, and spatiotemporally controlled delivery, this review proposes a roadmap to disrupt HIV-1 persistence by hijacking the Tat switch, ultimately bridging mechanistic insights to clinical applications. Full article

Trichomonas vaginalis, a prevalent sexually transmitted protozoan parasite, is associated with adverse birth outcomes, increased risk of HIV and other sexually transmitted infections, infertility, and cervical cancer. Despite its widespread impact, trichomoniasis remains underdiagnosed and underreported globally. Trichomonas vaginalis virus (TVV), a double-stranded RNA (dsRNA) virus infecting T. vaginalis, could impact T. vaginalis pathogenicity. We provide an overview of TVV, including its genomic structure, transmission, impact on protein expression, role in 5-nitroimidazole drug susceptibility, and clinical significance. TVV is a ~5 kbp dsRNA virus enclosed within a viral capsid closely associated with the Golgi complex and plasma membrane of infected parasites. Hypothetical mechanisms of TVV transmission have been proposed. TVV affects protein expression in T. vaginalis, including cysteine proteases and surface antigens, thus impacting its virulence and ability to evade the immune system. Additionally, TVV may influence the sensitivity of T. vaginalis to treatment; clinical isolates of T. vaginalis not harboring TVV are more likely to be resistant to metronidazole. Clinically, TVV-positive T. vaginalis infections have been associated with a range in severity of genital signs and symptoms. Further research into interactions between T. vaginalis and TVV is essential in improving diagnosis, treatment, and the development of targeted interventions. Full article

Despite having the world’s largest HIV burden, South Africa has yet to attain the 95-95-95 targets. Accurate, complete, and timely data are critical for monitoring a country’s HIV progress. The integration of unique identifier codes (UICs) for key populations (KPs) into routine health information management systems (RHIMS) strengthens data accuracy and completeness, facilitating more targeted HIV interventions and greater accountability. This systematic review assessed how Sub-Saharan African (SSA) countries have integrated KPs’ UICs into RHIMS, highlighting key enablers, challenges, and opportunities. A comprehensive search was conducted across PubMed, Scopus, Google Scholar, MEDLINE, PLOS ONE, and various government and non-government websites to identify the published and grey literature relevant to the study objective from June 2013 to December 2024. References were managed using Zotero version 6.0.36. Two authors independently screened studies using Covidence software. The review was done in accordance with the “Preferred Reporting Items for Systematic Reviews and Meta-Analyses” (PRISMA) guidelines and was registered with the “International Prospective Register of PROSPERO) Systematic Reviews” with the registration number CRD42023440656. Out of 1735 studies screened, 361 duplicates were removed. The review found that only nine of the fifty-three SSA countries have incorporated UICs for KPs into their RHIMS through alphanumeric codes. They include Burundi, Burkina Faso, Ghana, Mali, Kenya, Uganda, Togo, Malawi, and Liberia. Facilitators for KPs’ UIC adoption included strong data security and political will, whereas barriers encompassed compromised privacy, stigma and discrimination. In South Africa, the UIC for KPs can be integrated into the new electronic medical record (EMR) system. Full article

Background and Objectives: This study explores the immunogenetic associations of human leukocyte antigens (HLAs) and cytokine levels in people living with HIV/AIDS (PLWH) who exhibit HIV-related skin disorders. HIV-related skin disorders, including inflammatory eruptions, atopic and seborrheic dermatitis, psoriasis, and pruritic papular eruption, are common among PLWH. These conditions may be influenced by genetic and immunological factors. This study aims to investigate the associations between HLA class II alleles, cytokine levels, and the presence of HIV-related dermatoses, providing insights into genetic susceptibility and immune mechanisms. Materials and Methods: This study included 115 PLWH with HIV-related skin disorders and a control group of 80 healthy individuals. HLA allele frequencies were analyzed, and cytokine levels (IL-1β, IL-10, IFN-y) were measured in blood samples. Statistical analyses were performed to identify significant differences in allele frequencies and cytokine responses between the groups. Results: Risk alleles (DQB1*0201:0301, OR = 19.4 and DQA1*0101:0501, OR = 4.2) and protective alleles (DRB1*07:13, OR = 0.19, DRB1*01:13, OR = 0.09, DRB1*04:11, OR = 0.07, and DQA1*0501:0501, OR = 0.24) showed statistically significant differences in frequency (p < 0.05) between PLWH and healthy controls. The protective DQA1*0501:0501 allele was associated with elevated levels of IL-1β (p < 0.001, r = 0.79) and IL-10 (p = 0.010, r = 0.63). Increased IL-1β levels may enhance immune responses, while higher IL-10 levels may exert anti-inflammatory effects, potentially reducing susceptibility to HIV-related dermatoses. Regression analysis revealed that IL-1β (Exp(B) = 0.76, p < 0.001) and IFN-γ (Exp(B) = 1.06, p = 0.043) are significant predictors for the likelihood of developing HIV-related dermatoses. An increase in IL-1β levels reduced this likelihood by 24%, while an increase in IFN-γ levels increased it by 6%. Conclusions: The findings emphasize the interaction between HLA class II alleles and cytokine profiles in determining genetic risk and clinical outcomes in PLWH with HIV-related skin disorders. Protective alleles, such as DQA1*0501:0501, may contribute to immune regulation, offering potential targets for therapeutic interventions in PLWH with dermatoses. Our results highlight the importance of IL-1β and IFN-γ as key modulators in the progression of HIV infection and the development of HIV-related dermatoses. Further research is needed to explore the mechanisms underlying these associations, particularly in the Latvian population, to inform targeted therapeutic strategies. Full article

Despite the availability of pre-exposure prophylaxis (PrEP) in the United Kingdom (UK), uptake among men who have sex with men (MSM) remains inconsistent, signalling a persistent ‘PrEP Gap’. Empirical studies show the important role of psychosocial factors (e.g., stigma, identity, trust in science, and sexual behaviours) in PrEP acceptability and uptake. This study aimed to identify subgroups of MSM in the UK based on psychosocial predictors of PrEP acceptability. A cross-sectional survey of MSM (N = 500) was conducted between June and September 2023. Participants completed validated measures assessing identity resilience, internalised homonegativity, LGBTQ+ connectedness, trust in science, NHS perceptions, HIV stigma, PrEP self-efficacy, condom self-efficacy, sociosexual orientation, perceived HIV risk, and PrEP acceptability. Latent Profile Analysis (LPA) was used to identify distinct subgroups based on these psychosocial dimensions. Four psychosocial profiles were defined: (1) PrEP Ambivalent (15%); (2) PrEP Accepting (36.2%); (3) PrEP Hesitant (37%); and (4) PrEP Rejecting (11.8%). These profiles provide evidence for varied combinations of personal and structural factors influencing PrEP acceptability. PrEP acceptability among MSM in the UK is shaped by distinct psychosocial configurations, influenced by identity, stigma, trust, and perceived risk. These findings highlight the need for differentiated and targeted interventions for enhancing PrEP acceptability based on psychosocial profile. Audience segmentation strategies offer a promising pathway to bridge the awareness-to-engagement gap and address the nuanced barriers facing diverse subgroups within the MSM community. Full article

There is a significant portion of the South African population with unknown HIV status, which slows down epidemic control despite the progress made in HIV testing. Machine learning (ML) has been effective in identifying individuals at higher risk of HIV infection, for whom testing is strongly recommended. However, there are insufficient predictive models to inform targeted HIV testing interventions in South Africa. By harnessing the power of supervised ML (SML) algorithms, this study aimed to identify the most consistent predictors of HIV testing in repeated adult population-based surveys in South Africa. The study employed four SML algorithms, namely, decision trees, random forest, support vector machines (SVM), and logistic regression, across the five cross-sectional cycles of the South African National HIV Prevalence, Incidence, and Behavior and Communication Survey (SABSSM) datasets. The Human Science Research Council (HSRC) conducted the SABSSM surveys and made the datasets available for this study. Each dataset was split into 80% training and 20% testing sets with a 5-fold cross-validation technique. The random forest outperformed the other models across all five datasets with the highest accuracy (80.98%), precision (81.51%), F₁-score (80.30%), area under the curve (AUC) (88.31%), and cross-validation average (79.10%) in the 2002 data. Random forest achieved the highest classification performance across all the dates, especially in the 2017 survey. SVM had a high recall (89.12% in 2005, 86.28% in 2008) but lower precision, leading to a suboptimal F₁-score in the initial analysis. We applied a soft margin to the SVM to improve its classification robustness and generalization, but the accuracy and precision were still low in most surveys, increasing the chances of misclassifying individuals who tested for HIV. Logistic regression performed well in terms of accuracy = 72.75, precision = 73.64, and AUC = 81.41 in 2002, and the F₁-score = 73.83 in 2017, but its performance was somewhat lower than that of the random forest. Decision trees demonstrated moderate accuracy (73.80% in 2002) but were prone to overfitting. The topmost consistent predictors of HIV testing are knowledge of HIV testing sites, being a female, being a younger adult, having high socioeconomic status, and being well-informed about HIV through digital platforms. Random forest’s ability to analyze complex datasets makes it a valuable tool for informing data-driven policy initiatives, such as raising awareness, engaging the media, improving employment outcomes, enhancing accessibility, and targeting high-risk individuals. By addressing the identified gaps in the existing healthcare framework, South Africa can enhance the efficacy of HIV testing and progress towards achieving the UNAIDS 2030 goal of eradicating AIDS. Full article

Background: This study examines disparities in HIV-related healthcare access, support, and treatment adherence between rural and urban Black/African American populations in Georgia, USA, emphasizing structural, socioeconomic, and stigma-related barriers affecting health outcomes. Methods: A cross-sectional quantitative study was conducted using structured surveys administered via RedCap from August to December 2023. Participants (n = 55) were recruited through community-based HIV organizations, healthcare providers, and advocacy networks. The survey assessed demographic factors, healthcare access, adherence to treatment, support systems, and experiences with stigma. Data were analyzed using IBM SPSS Statistics, version 28.0 (IBM Corp., Armonk, NY, USA), with chi-square tests examining associations between geographic location and HIV-related outcomes. Results: Findings indicate significant disparities in HIV care access and support. Urban participants were more likely to receive family and friend support (p < 0.01), financial assistance through the Ryan White Program (p = 0.01), and timely linkage to care within one week of diagnosis (p < 0.05). Rural participants reported lower educational attainment, income levels, and limited healthcare access, contributing to poorer health outcomes. No significant differences were observed in PrEP or condom use. Conclusions: The study underscores the need for targeted interventions. Expanding telehealth, enhancing community outreach, and reducing stigma through policy reforms are critical to improving HIV-related health outcomes in rural Georgia. Full article

Wastewater-based epidemiology (WBE) offers a promising tool for sexually transmitted infection (STI) surveillance, especially in settings where underdiagnosis or social stigma complicates conventional reporting. To assess its utility, we conducted a year-long study examining six STIs, Chlamydia trachomatis, Treponema pallidum, Neisseria gonorrhoeae, human immunodeficiency virus (HIV), hepatitis C virus (HCV), and herpes simplex virus (HSV), in weekly composite samples from the primary influent of a small-sized Midwestern wastewater treatment plant. Pathogen detection and quantification were performed via digital PCR. Among the tested targets, Gonorrhea, HIV, HCV, and HSV were detected at the highest frequencies, often in 40–50% of the samples, while Chlamydia and Syphilis appeared less frequently. Despite the variability in detection patterns, this study demonstrates that even infrequent signals can reveal community-level shedding of poorly reported or asymptomatic infections. Although month-to-month wastewater data were not strongly correlated with corresponding clinical records, which could potentially reflect delayed healthcare seeking and pathogen-specific shedding dynamics, the overall findings underscore WBE’s ability to complement existing surveillance by capturing infections outside traditional healthcare channels. These results not only advance our understanding of STI prevalence and population shedding but also highlight the practical benefits of WBE as an early warning and targeted intervention tool. Full article

Background: This study investigates the survival outcomes of individuals with HIV receiving different treatment regimens compared to a control group. Utilizing a cohort dataset with demographic and clinical information, this research aims to assess the impact of various factors, including age, education, and travel time, on survival while controlling for confounding effects using propensity score adjustment. Methods: A total of 380 patients with HIV were included in this study, categorized into an intervention group receiving a specific treatment regimen and a control group. The primary outcome measured was the time to death or censoring. Survival analysis was performed using the Cox proportional hazards model, adjusted for potential confounders, including treatment (intervention and control), age, education, travel time, and gestational age at enrollment. Propensity scores were also incorporated to adjust for treatment selection bias. Results: The Cox model revealed a significant protective effect of the intervention on survival (hazard ratio (HR) = 0.583, p = 0.045), indicating that the treatment improved survival outcomes compared to the control group. After adjusting for propensity scores, the relationship between the intervention and survival remained significant (HR = 0.631, p = 0.106), suggesting the robustness of the treatment’s effect even after accounting for confounding variables. Other covariates, such as age, education, and travel time, did not show significant independent effects on survival, likely due to their correlation with the treatment variable. Conclusions: This study highlights the crucial role of the intervention in enhancing survival among individuals with HIV. The use of propensity score adjustment improves the validity of these findings by mitigating confounding bias in observational data. These results highlight the importance of ART (antiretroviral therapy) in HIV management and demonstrate the utility of statistical methods like propensity scores in clinical research. Further studies with diverse populations and advanced methodologies are recommended to validate these findings across different settings. Full article