Absence of Proviral Human Immunodeficiency Virus (HIV) Type 1 Evolution in Early-Treated Individuals With HIV Switching to Dolutegravir Monotherapy During 48 Weeks

Human immunodeficiency virus type 1 (HIV-1) infection is treated with antiretroviral therapy (ART), usually consisting of 2-3 different drugs, referred to as combination ART (cART). Our recent randomized clinical trial comparing a switch to dolutegravir monotherapy with continuation of cART in early-treated individuals demonstrated sustained virological suppression over 48 weeks. Here, we characterize the longitudinal landscape of the HIV-1 reservoir in these participants, with particular attention to potential differences between treatment groups regarding evidence of evolution as a proxy for low-level replication. Near full-length HIV-1 proviral polymerase chain reaction and next-generation sequencing was applied to longitudinal peripheral blood mononuclear cell samples to assess proviral evolution and the potential emergence of drug resistance mutations (DRMs). Neither an increase in genetic distance nor diversity over time was detected in participants of both treatment groups. Single proviral analysis showed high proportions of defective proviruses and low DRM numbers. No evidence for evolution during dolutegravir monotherapy was found in these early-treated individuals

Comparison of major depression diagnostic classification probability using the SCID, CIDI, and MINI diagnostic interviews among women in pregnancy or postpartum: An individual participant data meta‐analysis

OBJECTIVES: A previous individual participant data meta-analysis (IPDMA) identified differences in major depression classification rates between different diagnostic interviews, controlling for depressive symptoms on the basis of the Patient Health Questionnaire-9. We aimed to determine whether similar results would be seen in a different population, using studies that administered the Edinburgh Postnatal Depression Scale (EPDS) in pregnancy or postpartum. METHODS: Data accrued for an EPDS diagnostic accuracy IPDMA were analysed. Binomial generalised linear mixed models were fit to compare depression classification odds for the Mini International Neuropsychiatric Interview (MINI), Composite International Diagnostic Interview (CIDI), and Structured Clinical Interview for DSM (SCID), controlling for EPDS scores and participant characteristics. RESULTS: Among fully structured interviews, the MINI (15 studies, 2,532 participants, 342 major depression cases) classified depression more often than the CIDI (3 studies, 2,948 participants, 194 major depression cases; adjusted odds ratio [aOR] = 3.72, 95% confidence interval [CI] [1.21, 11.43]). Compared with the semistructured SCID (28 studies, 7,403 participants, 1,027 major depression cases), odds with the CIDI (interaction aOR = 0.88, 95% CI [0.85, 0.92]) and MINI (interaction aOR = 0.95, 95% CI [0.92, 0.99]) increased less as EPDS scores increased. CONCLUSION: Different interviews may not classify major depression equivalently

Impact of an electronic alert on prescription patterns of meropenem, voriconazole and caspofungin

BACKGROUND Antimicrobial stewardship programs promote the appropriate use of antimicrobial substances through the implementation of evidence-based, active and passive interventions. We analyzed the effect of a computer-assisted intervention on antimicrobial use in a tertiary care hospital. METHODS Between 2011 and 2016 we introduced an electronic alert for patients being prescribed meropenem, voriconazole and caspofungin. At prescription and at day 3 of treatment, physicians were informed about the risk related to these antimicrobial substances by an electronic alert in the medical records. Physicians were invited to revoke or confirm the prescription and to contact the infectious disease (ID) team. Using interrupted time series regression, the days of therapy (DOTs) and the number of prescriptions before and after the intervention were compared. RESULTS We counted 64,281 DOTs for 5549 prescriptions during 4100 hospital stays. Overall, the DOTs decreased continuously over time. An additional benefit of the alert could not be observed. Similarly, the number of prescriptions decreased over time, without significant effect of the intervention. When considering the three drugs separately, the alert impacted the duration (change in slope of DOTs/1000 bed days; P = 0.0017) as well as the number of prescriptions (change in slope of prescriptions/1000 bed days; P < 0.001) of voriconazole only. CONCLUSIONS The introduction of the alert lowered prescriptions of voriconazole only. Thus, self-stewardship alone seems to have a limited impact on electronic prescriptions of anti-infective substances. Additional measures such as face-to-face prompting with ID physicians or audit and feedback are indispensable to optimize antimicrobial use

The Interplay Between Replication Capacity of HIV-1 and Surrogate Markers of Disease

BACKGROUND HIV-1 replication capacity (RC) of transmitted/founder viruses may influence the further course of HIV-1 infection. METHODS RCs of 355 whole-genome primary HIV-1 isolates derived from samples acquired during acute and recent primary HIV-1 infection (PHI) were determined using a novel high-throughput infection assay in primary cells. The RCs were used to elucidate potential factors that could be associated with RC during PHI. RESULTS Increased RC was found to be associated with increased set point viral load (VL), and significant differences in RCs among 13 different HIV-1 subtypes were discerned. Notably, we observed an increase in RCs for primary HIV-1 isolates of HIV-1 subtype B over a 17-year period. Associations were not observed between RC and CD4 count at sample date of RC measurement, CD4 recovery after initiation of antiretroviral treatment, CD4 decline in untreated individuals, and acute retroviral syndrome severity scores. CONCLUSIONS These findings highlight that RCs of primary HIV-1 isolates acquired during the acute and recent phase of infection are more associated with viral factors, that is set point VL, than with host factors. Furthermore, we observed a temporal increase in RC for HIV-1 subtype B viruses over a period of 17 years. CLINICAL TRIALS REGISTRATION NCT00537966

Phylogenetic Cluster Analysis Identifies Virological and Behavioral Drivers of HIV Transmission in MSM.

BACKGROUND Identifying local outbreaks and their drivers is a key step towards curbing HIV transmission and potentially achieving HIV elimination. Such outbreaks can be identified as transmission clusters extracted from phylogenetic trees constructed of densely sampled viral sequences. In this study, we combined phylogenetic transmission clusters with extensive data on virological suppression and behavioral risk of cluster members to quantify the drivers of ongoing transmission over ten years. METHODS Using the comprehensive Swiss HIV Cohort Study and its drug-resistance database, we reconstructed phylogenetic trees for each year between 2007-2017. We identified HIV transmission clusters dominated by men who have sex with men(MSM) and determined their annual growth. We used Poisson regression to assess if cluster-growth was associated with a per-cluster-infectivity and behavioral-risk score. RESULTS Both infectivity and behavioral risk scores were significantly higher in growing MSM transmission clusters compared to non-growing clusters (p≤0.01). The fraction of transmission clusters without infectious members acquiring new infections increased significantly over the study period. The infectivity score was significantly associated with per-capita incidence of MSM transmission clusters in eight years, while the behavioral risk score was significantly associated with per-capita incidence of MSM transmission clusters in three years. CONCLUSIONS We present a phylogenetic method to identify hotspots of ongoing transmission among MSM. Our results demonstrate the effectiveness of treatment as prevention at the population level. However, the significantly increasing number of new infections among transmission clusters without infectious members highlight a relative shift from diagnosed to undiagnosed individuals as drivers of HIV transmission in Swiss MSM

HIV transmission chains exhibit greater HLA-B homogeneity than randomly expected.

BACKGROUND HIV's capacity to escape immune recognition by Human Leukocyte Antigen (HLA) is a core component of HIV pathogenesis. A better understanding of the distribution of HLA Class I in HIV-infected patients would improve our knowledge of pathogenesis in relation to host HLA type, and could better improve therapeutic strategies against HIV. MATERIALS AND METHODS 301-325 transmission pairs and 469-496 clusters were identified for analysis among Swiss HIV Cohort Study (SHCS) participants using HIV pol sequences from the drug resistance database. HLA Class I data was compiled at three specificity levels: four-digit, two-digit alleles, and HLA-B supertype. The analysis tabulated HLA-I homogeneity as two measures: the proportion of transmission pairs which are HLA-concordant as well as the average percentage of allele matches within all clusters. These measures were compared to the mean value across randomizations with randomly assorted individuals. RESULTS We repeated the analysis for different HLA classification levels and separately for HLA-A, -B, and -C. Subanalyses by risk group were performed for HLA-B. HLA-B showed significantly greater homogeneity in the transmission chains (2-digit clusters: 0.291 vs.0.251, p-value=0.009; supertype clusters: 0.659 vs. 0.611, p-value=0.002; supertype pairs: 0.655 vs. 0.608, p-value=0.014). Risk group restriction caused the effect to disappear for men-who-have-sex-with-men (MSM) but not other risk groups. We also examined if protective HLA alleles B27 and B57 were under- or overrepresented in the transmission chains, though this yielded no significant pattern. CONCLUSIONS The HLA-B alleles of patients within HIV-1 transmission chains segregate in homogenous clusters/pairs, potentially indicating preferential transmission among HLA-B concordant individuals

HIV-1 integration sites in CD4+ T cells during primary, chronic, and late presentation of HIV-1 infection

HIV-1 is capable of integrating its genome into that of its host cell. We examined the influence of the activation state of CD4+ T cells, the effect of antiretroviral therapy (ART), and the clinical stage of HIV-1 infection on HIV-1 integration site features and selection. HIV-1 integration sites were sequenced from longitudinally sampled resting and activated CD4+ T cells from 12 HIV-1–infected individuals. In total, 589 unique HIV-1 integration sites were analyzed: 147, 391, and 51 during primary, chronic, and late presentation of HIV-1 infection, respectively. As early as during primary HIV-1 infection and independent of the activation state of CD4+ T cells collected on and off ART, HIV-1 integration sites were preferentially detected in recurrent integration genes, genes associated with clonal expansion of latently HIV-1–infected CD4+ T cells, cancer-related genes, and highly expressed genes. The preference for cancer-related genes was more pronounced at late stages of HIV-1 infection. Host genomic features of HIV-1 integration site selection remained stable during HIV-1 infection in both resting and activated CD4+ T cells. In summary, characteristic HIV-1 integration site features are preestablished as early as during primary HIV-1 infection and are found in both resting and activated CD4+ T cells

HIV-1 integration sites in CD4+ T cells during primary, chronic, and late presentation of HIV-1 infection

HIV-1 is capable of integrating its genome into that of its host cell. We examined the influence of the activation state of CD4+ T cells, the effect of antiretroviral therapy (ART), and the clinical stage of HIV-1 infection on HIV-1 integration site features and selection. HIV-1 integration sites were sequenced from longitudinally sampled resting and activated CD4+ T cells from 12 HIV-1–infected individuals. In total, 589 unique HIV-1 integration sites were analyzed: 147, 391, and 51 during primary, chronic, and late presentation of HIV-1 infection, respectively. As early as during primary HIV-1 infection and independent of the activation state of CD4+ T cells collected on and off ART, HIV-1 integration sites were preferentially detected in recurrent integration genes, genes associated with clonal expansion of latently HIV-1–infected CD4+ T cells, cancer-related genes, and highly expressed genes. The preference for cancer-related genes was more pronounced at late stages of HIV-1 infection. Host genomic features of HIV-1 integration site selection remained stable during HIV-1 infection in both resting and activated CD4+ T cells. In summary, characteristic HIV-1 integration site features are preestablished as early as during primary HIV-1 infection and are found in both resting and activated CD4+ T cells

A Systematic Phylogenetic Approach to Study the Interaction of HIV-1 With Coinfections, Noncommunicable Diseases, and Opportunistic Diseases.

To systematically test whether coinfections spread along the HIV-1 transmission network and whether similarities in HIV-1 genomes predict AIDS-defining illnesses and comorbidities, we analyzed the distribution of these variables on the HIV phylogeny of the densely sampled Swiss HIV Cohort Study. By combining different statistical methods, we could detect, quantify, and explain the clustering of diseases. Infectious conditions such as hepatitis C, but also Kaposi sarcoma, clustered significantly, suggesting transmission of these infections along the HIV-1 transmission network. The clustering of patients with neurocognitive complaints could not be completely explained by the clustering of patients with similar demographic risk factors, which suggests a potential impact of viral genetics. In summary, the consistent and robust signal for coinfections and comorbidities highlights the strong interaction of HIV-1 and other infections and shows the potential of combining phylogenetic methods to identify disease traits that are likely to be related to virus genetic factors

Increasing Frequency and Transmission of HIV-1 Non-B Subtypes among Men Who Have Sex with Men in the Swiss HIV Cohort Study

BACKGROUND In Switzerland, HIV-1 transmission among men who have sex with men (MSM) has been dominated by subtype B, whilst non-B subtypes are commonly attributed to infections acquired abroad among heterosexuals. Here, we evaluated the temporal trends of non-B subtypes and the characteristics of molecular transmission clusters (MTCs) among MSM. METHODS Sociodemographic and clinical data and partial pol sequences were obtained from participants enrolled in the Swiss HIV Cohort Study (SHCS). For non-B subtypes, maximum likelihood trees were constructed, from which Swiss MTCs were identified and analysed by transmission group. RESULTS Non-B subtypes were identified in 8.1% (416/5,116) of MSM participants. CRF01_AE was the most prevalent strain (3.5%), followed by A (1.2%), F (1.1%), CRF02_AG (1.1%), C (0.9%), and G (0.3%). Between 1990 and 2019, an increase in the proportion of newly diagnosed individuals (0/123[0%] to 11/32 [34%]) with non-B subtypes in MSM was found. Across all non-B subtypes, the majority of MSM MTCs were European. Larger MTCs were observed for MSM than heterosexuals. CONCLUSIONS We found a substantial increase in HIV-1 non-B subtypes among MSM in Switzerland and the occurrence of large MTCs, highlighting the importance of molecular surveillance in guiding public health strategies targeting the HIV-1 epidemic