Rates and Correlates of Incident Type 2 Diabetes Mellitus Among Persons Living With HIV-1 Infection

Effects of E-Cigarettes on the Lung and Systemic Metabolome in People with HIV

The popularity of e-cigarettes (vaping) has soared, creating a public health crisis among teens and young adults. Chronic vaping can induce gut inflammation and reduce intestinal barrier function through the production of the proinflammatory molecule hydrogen sulfide (H2S). This is particularly concerning for people with HIV (PWH) as they already face impaired immune function and are at a higher risk for metabolic dysregulation, diabetes, and chronic liver disease. Furthermore, PWH experience unhealthy behaviors, making it crucial to understand the systemic metabolic dysregulation and pathophysiological mechanisms associated with vaping in this population. Here, we employed liquid chromatography-mass spectrometry (LC-MS)-based metabolomics to investigate the upper respiratory, circulation, and gut metabolic profiles of PWH who vape (n = 7) and smoke combustible tobacco/marijuana (n = 6) compared to control participants who did not vape or smoke (n = 10). This hypothesis-generating exploratory study revealed systemic alterations in purine, neurotransmitter, and vitamin B metabolisms and tissue-specific changes in inflammatory pathways and cryptic sulfur cycling associated with vaping and combustible tobacco/marijuana smoking in PWH. In addition, this study provides the first link between microbial-derived metabolite 2,3-dihydroxypropane-1-sulfonate (DHPS) and vaping/smoking (tobacco and marijuana)-induced metabolic dyshomeostasis in the gut. These findings highlight the importance of identifying the full biological and clinical significance of the physiological changes and risks associated with vaping.

Examining incidence of diabetes in people with HIV: tracking the shift in traditional and HIV-related risk factors

BACKGROUND AND OBJECTIVE

The risk factors of diabetes mellitus (DM) in people with HIV (PWH) may be dynamic in a life course manner. This study aimed to describe incidence of DM and investigate the trajectory of changes in risk factor associated with DM incidence over around 15 years among a statewide cohort of PWH in South Carolina (SC).

DESIGN

This is a population-based cohort study.

METHODS

Data were retrieved from the integrated statewide electronic health records between 2006 and 2020 in SC. Separate subgroup analysis was conducted according to the patients' different follow up duration (i.e., 5, 10, and 15 years) to observe the evolving risk factors of DM development, using multivariable logistic regressions.

RESULTS

The DM incidence among a total of 9115 PWH was 8.9 per 1000 person-years. In the overall model, being >60 years old, hypertension, and obesity were positively associated with DM while alcohol consumption, years of HIV diagnosis and high percentage days of viral suppression were negatively associated with the outcome. In the subgroup analyses, similar risk factors were observed. The odds of DM increased in a graded fashion with age. Hypertension was positively associated with DM in all groups and retention to care was negatively associated with the outcome in groups 1 and 3.

CONCLUSION

This large-scale population-based study has revealed a relatively lower incidence of DM among PWH than some other US States. The evolving risk factors over time underline the need for maintaining retention to care to prevent the occurrence of DM.

Incidence of Diabetes Mellitus and Associated Factors in the Era of Antiretroviral Drugs With a Low Metabolic Toxicity Profile

Objective

The incidence of type 2 diabetes mellitus (T2DM) has risen dramatically. Among people living with HIV (PLHIV), chronic disease (now >15 cases/1000 in the general population worldwide) and long-term exposure to antiretroviral therapy (ART) can alter metabolic processes early, favoring insulin resistance and T2DM. We retrospectively studied the incidence of T2DM and associated factors in the Cohort of the Spanish AIDS Research Network, a prospective cohort of PLHIV enrolled at diagnosis and before initiation of ART.

Methods

PLHIV were aged >18 years and ART naive at inclusion. The incidence of new diagnoses of T2DM after initiation of ART (per 1000 person-years) was calculated. Predictors of a diagnosis of T2DM were identified by a Cox proportional hazards model adjusted for statistically significant and clinically relevant variables.

Results

Cumulative incidence was 5.9 (95% CI, 5.1-6.7) per 1000 person-years, increasing significantly in persons aged >50 years to 14.4 (95% CI, 10.4-19.3). Median time to diagnosis of T2DM was 27 months. Only age and higher education were significant. Interestingly, higher education was associated with a 33% reduction in the incidence of T2DM. Having received tenofovir disoproxil fumarate + (lamivudine or emtricitabine) + rilpivirine was almost significant as a protective factor (hazard ratio, 0.49; 95% CI, .24-1.01; P = .05).

Conclusions

The incidence of T2DM in PLHIV in Spain was high, especially in persons aged >50 years. Age was the factor most closely associated with onset, and educational level was the factor most associated with reduced risk. We highlight the lack of association between HIV-related factors and T2DM and show that, within nonnucleoside reverse transcriptase inhibitors, rilpivirine could prove more benign for metabolic comorbidities.

Cardiometabolic Diseases and Quality-of-Life Outcomes in Adults With HIV in the Deep South: A Cross-sectional Study

ABSTRACT

The role of cardiometabolic diseases (CMDs) on physical health-related quality of life (P-HRQoL) and quality of sleep was examined among 261 PLWH ≥40 years, recruited from a university-affiliated HIV clinic in the Deep U.S. South. Using a cross-sectional study design, participants completed the Medical Outcomes Study HIV Health Survey (MOS-HIV; P-HRQoL) and Pittsburgh Sleep Quality Index. The overall prevalence of self-reporting ≥1 CMD was 64.4%. P-HRQoL scores were lower in PLWH with ≥1 CMD compared with those with no CMDs (45.53 ± 11.54 vs. 49.67 ± 10.77, p <.01). Poor sleep quality was higher among participants with ≥1 CMD compared with those with no CMDs (9.28 ± 4.42 vs. 7.26 ± 4.17, p <.01). Each additional CMD resulted in a 1.83-point decrease in P-HRQoL and 0.74-point increase in poor sleep quality scores. Interventions that focus on targeting these quality-of-life domains in PLWH with CMDs are needed.

Association Between Weight Gain and the Incidence of Cardiometabolic Conditions Among People Living with HIV-1 at High Risk of Weight Gain Initiated on Antiretroviral Therapy

INTRODUCTION

Antiretroviral therapy (ART) has been associated with weight gain in people living with HIV-1 (PLWH); however, limited research has assessed whether early weight gain post-ART initiation is associated with metabolic or cardiovascular outcomes among PLWH at high risk of weight gain (i.e., female, Black or Hispanic). This study aimed to evaluate the incidence of metabolic and cardiovascular outcomes between PLWH at high risk of weight gain following an observed ≥ 5% or < 5% weight/body mass index (BMI) gain within 6 months following ART initiation.

METHODS

A retrospective longitudinal study using Symphony Health, an ICON plc Company, IDV® electronic medical records (October 1, 2014-March 31, 2021) identified adult female, Black, or Hispanic treatment-naïve PLWH who initiated ART and who had ≥ 1 weight or BMI measurement pre- and within 6 months post-treatment (landmark period). Inverse probability of treatment weighting was used to account for differences between PLWH who experienced ≥ 5% and < 5% weight/BMI gain. The time to each outcome was compared between cohorts using weighted hazard ratios (HRs) after the landmark period.

RESULTS

Weighted ≥ 5% and < 5% cohorts included 620 and 632 patients, respectively; baseline characteristics were similar between the two cohorts (mean age: ~ 48 years, ~ 59% female, ~ 49% Black, ~ 17% Hispanic). During a mean 2-year follow-up, PLWH with ≥ 5% weight/BMI gain were significantly more likely to be diagnosed with type 2 diabetes mellitus (T2DM; HR = 2.19; p = 0.044). There were no significant differences in the incidence of any other outcomes between the study cohorts.

CONCLUSION

Despite a short 2-year follow-up, female, Black or Hispanic PLWH experiencing ≥ 5% weight/BMI increase within 6 months following ART initiation had an increased risk of T2DM, but not other metabolic or cardiovascular outcomes, likely due to the short follow-up period. Further research with longer follow-up and specific ART regimens is warranted to examine the impact of ART-related weight gain on long-term clinical outcomes.

HIV Protease Inhibitors and Insulin Sensitivity: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Background: Protease inhibitors (PIs) are believed to affect insulin sensitivity. We aimed to analyze the effect of PIs on insulin sensitivity and the onset of diabetes mellitus (DM) in patients with HIV. Methodology: We searched PubMed, Google Scholar, ClinicalTrals.gov, and the WHO International Clinical Trials Registry Platform till November 2020 for randomized controlled trials (RCTs) that studied the effects of PIs on insulin sensitivity and DM in patients with HIV. We followed the PRISMA and PICOS frameworks to develop the search strategy. We used the random-effects meta-analysis model to estimate the mean difference (MD), standardized mean difference (SMD), and risk ratios for our outcomes, using Stata 14 software. Results: We included nine RCTs that enrolled 1,000 participants, with their ages ranging from 18 to 69 years. The parameters and investigations used in the studies to determine insulin sensitivity were glucose disposal rates, hyperglycemia, and mean glucose uptake. The majority of results showed an association between PIs and insulin sensitivity. The pooled analysis showed no statistically significant difference in insulin sensitivity with atazanavir, whether the study was performed on healthy individuals for a short term or long term in combination with other drugs like tenofovir or emtricitabine [SMD = 0.375, 95% CI (0.035, 0.714)]. The analysis showed reduced glucose disposal rates and hence reduced insulin sensitivity with lopinavir (heterogeneity chi-squared = 0.68, I-squared [variation in SMD attributable to heterogeneity] = 0.0%, p = 0.031). The heterogeneity with chi-squared was substantial (61-80%), while with I-squared was not significant (0-40%), p = 0.031). Less adverse events were observed with atazanavir than with lopinavir [RR = 0.987, 95% CI (0.849, 1.124)]. Darunavir and indinavir did not demonstrate any significant changes in insulin sensitivity. Most of the studies were found to have a low risk of bias. Conclusions: There are significant variations in the effects of PIs on insulin sensitivity and onsets of DM. Atazanavir, fosamprenavir, and darunavir did not demonstrate any significant changes in insulin sensitivity, compared to the rest of the group. There is a need to assess the benefits of PIs against the long-term risk of impaired insulin sensitivity. All patients newly diagnosed with HIV should have DM investigations before the start of ARVs and routinely. RCTs should focus on sub-Saharan Africa as the region is worst affected by HIV, but limited studies have been documented.