Relationship between weight gain and insulin resistance in people living with HIV switching to integrase strand transfer inhibitors-based regimens

Weight Gain and Antiretroviral Therapy

Antiretroviral therapy (ART) agents as a determinant of body weight in ART-naïve and ART-experienced persons with human immunodeficiency virus (HIV) (PWH) has become a major focus area in research and clinical settings. Recent studies demonstrating weight-suppressing properties of efavirenz and tenofovir disoproxil fumarate led to re-evaluation of weight gain studies, and a reassessment of whether other agents are weight promoting versus weight neutral. In this review, the authors synthesize recent literature on factors related to obesity, clinical measurements of adiposity, weight gain in ART-naïve and ART-experienced PWH, metabolic consequences of ART and weight gain, and the clinical management of weight gain in PWH.

Contemporary Treatment Approaches for Human Immunodeficiency Virus Infection: Association of Antiretrovirals with Weight Gain and Potential Solutions

Integrase inhibitors and tenofovir alafenamide have become a mainstay in modern antiretroviral therapy; more recently, they have been implicated as causing increased weight gain beyond what may be expected with the "return to health" phenomenon. Some patients, namely those assigned female at birth, of the black race, or with lower baseline CD4 counts, may be more likely to experience weight gain. This review outlines existing evidence linking the agents to excessive weight as well as ongoing efforts to combat these effects.

HIV and adipose tissue: A long history linked to therapeutic classes of antiretrovirals

HIV infection has been controlled only since the introduction of triple therapy in 1996, combining, as antiretroviral agents, two nucleoside reverse transcriptase inhibitors (NRTIs) and one protease inhibitor (PI). However, among the NRTIs, the thymidine analogues stavudine and zidovudine led to lipoatrophy, either generalized or associated with visceral fat hypertrophy and buffalo hump. These molecules also increased insulin resistance and the prevalence of diabetes. They were replaced by other NRTIs or non-NRTIs (NNRTIs) that were considered to be free of adipose tissue (AT) toxicity. More recently, the NRTI tenofovir disoproxyfumarate (TDF) and the NNRTI efavirenz have been associated with inhibition of fat gain but not with clear lipoatrophy. Otherwise, the use of PIs led to a phenotype of trunk fat hypertrophy associated with cardiometabolic complications. To avoid their adverse effects, PIs have recently been replaced by a new class of antiretrovirals, the integrase inhibitors (INSTIs), which are well tolerated and effective in controlling HIV. However, this class has been associated with global weight gain, which may be important and concerning for some people living with HIV (PWH). Also, in the NRTI class, TDF has often been replaced by tenofovir alafenamide (TAF) due to bone and renal toxicities, and TAF has been associated with global fat gain. The cardiometabolic consequences of INTIs and TAF are primarily related to the associated weight gain. In the global obesogenic worldwide context, PWH are gaining weight as well in relation to poor health life conditions. Taking in charge obesity uses the same strategies as those used in the general population.

Risk of Cardiovascular Events in People with HIV (PWH) Treated with Integrase Strand-Transfer Inhibitors: The Debate Is Not Over; Results of the SCOLTA Study

Cardiovascular disease (CVD) is common in people with HIV (PWH), and has great impact in terms of morbidity and mortality. Several intertwined mechanisms are believed to play a role in determining the increased risk of CVD, including the effect of certain antiretrovirals; among these, the role of integrase strand-transfer inhibitors (INSTIs) is yet to be fully elucidated. We conducted a multicenter, observational study comprising 4984 PWH evaluating the antiretroviral therapy (ART)-related nature of CVD in real life settings, both in naïve vs. treatment-experienced people. A comparison was conducted between INSTIs vs. either protease inhibitors (PIs) or non-nucleoside reverse transcriptase inhibitors (NNRTIs) considering demographic, baseline clinical characteristics, incidence of CVD in both 2-year and complete follow-up periods. Among 2357 PWH exposed to INSTIs, 24 people experienced CVD; the corresponding figure was 12 cases out of 2599 PWH exposed to other ART classes. At univariate and multivariate analysis, a tendency towards an increased risk of CVD was observed in the 2-year follow-up period in PWH exposed to INSTIs in the absence, however, of statistical significance. These findings leave open the hypothesis that INSTIs may play a role, albeit minimal, in determining an increased risk of CVD in PWH.

Improvement in insulin sensitivity after switching from an integrase inhibitor-based regimen to doravirine/tenofovir disoproxil fumarate/lamivudine in people with significant weight gain

OBJECTIVES

We performed an observational, retrospective, cohort study to assess changes in insulin sensitivity after a switch from dolutegravir/lamivudine (DOL/3TC) or bictegravir/emtricitabine/tenofovir alafenamide (BIC/F/TAF) to doravirine/tenofovir disoproxil fumarate/3TC (DOR/TDF/3TC) in virologically suppressed people living with HIV with recent significant weight gain.

METHODS

All non-diabetic patients with HIV treated with DOL/3TC or BIC/F/TAF for ≥12 months, with HIV RNA <20 copies/mL, and with a weight increase ≥3 kg in the last year, who underwent a switch to DOR/TDF/3TC were enrolled into the study. Serum levels of glucose, insulin, and homeostasis model assessment of insulin resistance (HOMA-IR) index were evaluated every 6 months during a 12-month follow-up.

RESULTS

Overall, 81 patients were enrolled: 41 were treated with DOL/3TC and 40 with BIC/F/TAF. At baseline, median HOMA-IR index was 3.18 and insulin resistance (HOMA-IR index >2.5) was present in 49 subjects (60%). At 12 months after the switch to DOR/TDF/3TC, change in mean serum glucose concentration was not significant, but the reduction in median concentration of insulin was significant (-3.54 mcrUI/L [interquartile range -4.22 to -2.87]; p = 0.012), associated with a significant reduction in mean HOMA-IR index (-0.54 [interquartile range -0.91 to -0.18]; p = 0.021). A significant reduction in total and low-density lipoprotein cholesterol was also reported, whereas decreases in mean body weight and mean body mass index were not significant.

CONCLUSIONS

In our retrospective study in virologically suppressed people living with HIV treated with DOL/3TC or BIC/F/TAF and with recent weight gain, the switch to DOR/TDF/3TC led to a significant improvement in insulin sensitivity and plasma lipids, with a trend to decreased body weight.

Weight Gain in Overweight and Obese People with HIV-The OBHIV Cohort

BACKGROUND

HIV and non-HIV-related factors have been related to weight gain (WG); however, their specific impact on people with HIV (PWH) who are overweight or obese remains unclear.

METHODS

This is a single-center observational study enrolling PWH with a BMI > 25 kg/m2. A generalized linear model was used to assess variables related to greater WG during 12 years of observation.

RESULTS

A total of 321 PWH were enrolled, 67% overweight and 33% obese, who gained an average of 0.2 ± 1.3 and 1.7 ± 1.5 kg/year, respectively (p < 0.0001). Years since HIV infection were the only variable significantly associated with WG (β -0.048, 95% CI -0.083; -0.013) during the study period, while type of ART did not influence the outcome. Narrowing the observation to the period of the SARS-CoV-2 pandemic, PWH with a longer duration of infection (β 0.075, 95% CI 0.033; 0.117) and a greater increase in triglycerides (β 0.005; 95% CI 0.000; 0.011) gained more weight, while higher BMI (β -0.256, 95% CI -0.352; -0.160), obesity (β -1.363, 95% CI -2.319; -0.408), diabetes mellitus (β -1.538, 95% CI -2.797; -0.278), and greater abdominal circumference (β -0.086, 95% CI -0.142; -0.030) resulted in protection.

CONCLUSION

Among overweight and obese PWH, the amount of WG was higher in the first years after diagnosis of HIV and decreased thereafter, despite aging, regardless of the type of ART.

The effect of a treatment switch to integrase Strand transfer inhibitor-based regimens on weight gain and other metabolic syndrome-related conditions

OBJECTIVE

This study aimed to assess weight gain associated with treatment switching to INSTI-based regimens in people living with HIV (PLWH) and to determine whether it is accompanied by worsening features of hypertension, dyslipidemia, or hyperglycemia.

METHODS

In this two-center retrospective observational study, we assessed weight gain and metabolic features in PLWH who switched to an INSTI-based regimen (study group) as compared to patients who remained on a non-INSTI regimen (control group) over a 24-month follow-up period.

RESULTS

One-hundred seventy-four PLWH were included in the study group, and 175 were included in the control group. The study group gained 2.51 kg ± 0.31 (mean ± standard deviation) over the 2 years of follow-up, while the control group gained 1.1 ± 0.31 kg over the same time course (p < 0.001). INSTI treatment, Caucasian origin, and lower BMI were risk factors associated with excessive weight gain during the 2 years of follow-up. Among metabolic parameters, only glucose levels increased after initiating INSTI-based regimens, although limited to males of African origin (p = 0.009).

CONCLUSIONS

We observed a mild weight gain after switching to INSTI-based regimens, with no major impact on metabolic parameters over 2 years of follow-up. Longer follow-up might be needed to observe the adverse metabolic effects of INSTI-based regimens. The impact on weight gain should be discussed with every patient before the treatment switch to ensure a balanced diet and physical activity to prevent excessive weight gain that might hamper compliance with ART.

Perceptions of Health, Body Size, and Nutritional Risk Factors for Obesity in People with HIV in South Africa

Metabolic disease is increasing in people with HIV (PWH) in South Africa, but little is known about self-perceptions of body size, health, and nutritional behavior in this population. We performed a cross-sectional analysis of individual-level data from the 2016 South Africa Demographic and Health Survey. This survey measured HIV serostatus and body mass index (BMI). We categorized participants into six BMI groups: 18.5-22 kg/m2, 22-25 kg/m2, 25-27.5 kg/m2, 27.5-30 kg/m2, 30-35 kg/m2, and ≥ 35 kg/m2 and stratified them by HIV serostatus. Our outcomes were self-reported (1) body size and (2) health status among all participants, and intake of (3) chips and (4) sugar-sweetened beverages (SSB) in PWH. We described these metrics and used multivariable regression to evaluate the relationship between the nutritional behaviors and BMI ≥ 25 kg/m2 in PWH only, adjusting for age, sex, educational attainment, and household wealth quintile. Of 6138 participants, 1163 (19.7%) were PWH. Among PWH, < 10% with a BMI 25-30 kg/m2, < 20% with a BMI 30-35 kg/m2 and < 50% with a BMI ≥ 35 kg/m2 self-reported as overweight or obese. PWH reported being in poor health at higher rates than those without HIV at each BMI category except ≥ 35 kg/m2. In adjusted models, SSB consumption was associated with BMI ≥ 25 kg/m2 (1.13 [1.01-1.25], t-statistic = 2.14, p = 0.033) in PWH. Perceptions of body size may challenge efforts to prevent weight gain in PWH in South Africa. SSB intake reduction should be further explored as a modifiable risk factor for obesity.

A Machine Learning Approach to Predict Weight Change in ART-Experienced People Living With HIV

INTRODUCTION

The objective of the study was to develop machine learning (ML) models that predict the percentage weight change in each interval of time in antiretroviral therapy-experienced people living with HIV.

METHODS

This was an observational study that comprised consecutive people living with HIV attending Modena HIV Metabolic Clinic with at least 2 visits. Data were partitioned in an 80/20 training/test set to generate 10 progressively parsimonious predictive ML models. Weight gain was defined as any weight change >5%, at the next visit. SHapley Additive exPlanations values were used to quantify the positive or negative impact of any single variable included in each model on the predicted weight changes.

RESULTS

A total of 3,321 patients generated 18,322 observations. At the last observation, the median age was 50 years and 69% patients were male. Model 1 (the only 1 including body composition assessed with dual-energy x-ray absorptiometry) had an accuracy greater than 90%. This model could predict weight at the next visit with an error of <5%.

CONCLUSIONS

ML models with the inclusion of body composition and metabolic and endocrinological variables had an excellent performance. The parsimonious models available in standard clinical evaluation are insufficient to obtain reliable prediction, but are good enough to predict who will not experience weight gain.

Impact of weight gain with dolutegravir on antiretroviral adherence and viral suppression in four African countries

OBJECTIVE

We hypothesized that total body weight (TBW) gain after switching antiretroviral therapy (ART) regimen to tenofovir disoproxil fumarate/lamivudine/dolutegravir (TLD) may negatively impact ART adherence and viral load (VL) and therefore sought to examine these associations.

METHODS

The ongoing African Cohort Study (AFRICOS) enrols people with HIV at 12 facilities in Kenya, Nigeria, Tanzania and Uganda supported by The US President's Emergency Plan for AIDS Relief. Among ART-experienced participants who switched to TLD, we used multivariable multinomial logistic regression to examine associations between pre-/post-TLD changes in percentage TBW (≥5% gain, <5% change, ≥5% loss) and changes in self-reported ART adherence (0, 1-2, ≥3 days missed doses in past 30 days) and VL [(<50 copies/mL (undetectable), 50-999 copies/mL (detectable, but suppressed), ≥1000 copies/mL (unsuppressed)].

RESULTS

Among 1508 participants, median time from starting TLD to follow-up was 9 months (interquartile range: 7-11). Overall, 438 (29.1%) participants experienced a TBW gain ≥5%, which was more common among females than among males (32.2% vs 25.2%, p = 0.005) and participants switching from efavirenz [32.0% vs nevirapine (19.9%) and boosted protease inhibitor (20.0%); p < 0.001]. Compared with a TBW change <5% [950 (63.0%) participants], TBW gain ≥5% was not significantly associated with more days with missed ART doses [adjusted odds ratio (aOR) = 0.77, 95% confidence interval (CI): 0.48-1.23] or VL becoming detectable and/or unsuppressed (aOR = 0.69, 95% CI: 0.41-1.16).

CONCLUSIONS

Although a substantial proportion of participants experienced weight gain after switching to TLD, we did not identify a significant impact on adherence or virological outcomes.

Long-term effects on subclinical cardiovascular disease of switching from boosted protease inhibitors to dolutegravir

BACKGROUND

In the NEAT022 trial, switching from boosted PIs (PI/r) to dolutegravir in people with HIV (PWH) with high cardiovascular risk decreased plasma lipids, soluble CD14 and adiponectin, and showed consistent favourable, although non-significant, effects on carotid intima-media thickness (CIMT) progression at 48 weeks. We hereby communicate planned final 96 week results on biomarker changes and CIMT progression.

METHODS

PWH on a PI/r-based triple therapy regimen were randomly assigned (1:1) to switch the PI/r component to dolutegravir either immediately (DTG-I group) or after 48 weeks (DTG-D group) and were followed up to 96 weeks. We assessed changes in biomarkers associated with inflammation, endothelial dysfunction, monocyte immune activation, oxidation, insulin resistance, hypercoagulability, heart failure, myocardial injury and glomerular and tubular kidney injury, and right and left CIMT progression at 48 and 96 weeks.

RESULTS

Of 415 PWH randomized, 287 (69%) and 143 (34%) contributed to the biomarker and CIMT substudies respectively. There were significant 96 week changes in biomarkers associated with inflammation, immune activation, oxidation, insulin resistance and myocardial injury. Most changes were favourable, except for adiponectin reduction, which may suggest higher insulin resistance. We were unable to detect significant changes in the progression of CIMT between arms or within arms at 96 weeks.

DISCUSSION

After 96 weeks, switching from PI/r to dolutegravir in PWH with high cardiovascular risk led to significant changes in several biomarkers associated with cardiovascular disease. Although most changes were favourable, adiponectin reduction was not. There were non-significant changes in CIMT progression.

Fibroscan-Aspartate Aminotransferase Score Predicts Liver-Related Outcomes, but Not Extrahepatic Events, in a Multicenter Cohort of People With Human Immunodeficiency Virus

BACKGROUND

Nonalcoholic fatty liver disease (NAFLD) is frequent in people with human immunodeficiency virus (PWH). The Fibroscan-aspartate aminotransferase (FAST) score was developed to identify patients with nonalcoholic steatohepatitis (NASH) and significant fibrosis. We investigated prevalence of NASH with fibrosis and the value of FAST score in predicting clinical outcomes in PWH.

METHODS

Transient elastography (Fibroscan) was performed in PWH without viral hepatitis coinfection from 4 prospective cohorts. We used FAST >0.35 to diagnose NASH with fibrosis. Incidence and predictors of liver-related outcomes (hepatic decompensation, hepatocellular carcinoma) and extrahepatic events (cancer, cardiovascular disease) were evaluated through survival analysis.

RESULTS

Of the 1472 PWH included, 8% had FAST >0.35. Higher body mass index (adjusted odds ratio [aOR], 1.21 [95% confidence interval {CI}, 1.14-1.29]), hypertension (aOR, 2.24 [95% CI, 1.16-4.34]), longer time since HIV diagnosis (aOR, 1.82 [95% CI, 1.20-2.76]), and detectable HIV RNA (aOR, 2.22 [95% CI, 1.02-4.85]) were associated with FAST >0.35. A total of 882 patients were followed for a median of 3.8 years (interquartile range, 2.5-4.2 years). Overall, 2.9% and 11.1% developed liver-related and extrahepatic outcomes, respectively. Incidence of liver-related outcomes was higher in patients with FAST >0.35 versus FAST ≤0.35 (45.1 [95% CI, 26.2-77.7] vs 5.0 [95% CI, 2.9-8.6] per 1000 person-years). FAST >0.35 remained an independent predictor of liver-related outcomes (adjusted hazard ratio, 4.97 [95% CI, 1.97-12.51]). Conversely, FAST did not predict extrahepatic events.

CONCLUSIONS

A significant proportion of PWH may have NASH with significant liver fibrosis. FAST score predicts liver-related outcomes and can help management of this high-risk population.

Incident diabetes in course of antiretroviral therapy

OBJECTIVE

Recent reports of excessive weight gain in people with HIV (PWH) have raised increasing concerns on the possible increase of diabetes mellitus (DM) risk in course of integrase inhibitors (INSTIs) treatment. In this study, we aimed at describing DM incidence in course of antiretroviral therapy (ART) and identifying the factors associated with new DM onset.

DESIGN

Observational prospective SCOLTA (Surveillance Cohort Long-Term Toxicity Antiretrovirals) cohort.

METHODS

All people enrolled in SCOLTA between January 2003 and November 2021 were included. Multivariable Cox regression yielded adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) for incident DM.

RESULTS

4366 PWH were included, 72.6% male, with mean age 45.6 years, and median CD4 + 460 [interquartile range (IQR) 256-710] cells/mm 3 cells/mm 3 . During the follow up, 120 incident cases of DM occurred (1.26 cases/100 person year-follow up, 95% CI 1.05-1.50).Baseline weight, but not the amount of weight gain, resulted significantly correlated to diabetes incidence (aHR by 1 kg 1.03; 95% CI 1.01-1.04), as well as older age (aHR 1.03 by 1 year; 95% CI 1.01-1.06), being ART-experienced with detectable HIV RNA at study entry (aHR 2.27, 95% CI 1.48-3.49), having untreated high blood pressure (aHR 2.90; 95% CI 1.30-6.45) and baseline blood glucose >100 mg/dl (aHR 5.47; 95% CI 3.82-7.85). Neither the INSTI class nor individual antiretrovirals were associated with an increased risk of DM.

CONCLUSIONS

Baseline weight, but not weight gain or the ART class, was associated with incident DM in this observational cohort.

Evidence gaps on weight gain in people living with HIV: a scoping review to define a research agenda

BACKGROUND

Combined antiretroviral therapy (cART) dramatically improved survival in people living with HIV (PLWH) but is associated with weight gain (WG), raising concern for a possible obesity epidemic in PLWH. This scoping review aims to identify the gaps in the existing evidence on WG in PLWH and generate a future research agenda.

METHODS

This review was conducted according to the methodology for scoping studies and reported according to the PRISMA Extension for Scoping Review checklist. Articles published in English in the last 10 years indexed in Pubmed, WHO Global Index Medicus, or Embase were searched using specific queries focused on WG in PLWH.

RESULTS

Following the selection process, 175 included articles were reviewed to search for the available evidence on four specific topics: (I) definition of WG in PLWH, (II) pathogenesis of WG in PLWH, (III) impact of ART on WG, (IV) correlation of WG with clinical outcomes. A summary of the data enabled us to identify gaps and clearly define the following research agenda: (I) develop a data-driven definition of WG in PLWH and define noninvasive assessment methods for body weight and fat composition; (II) further investigate the interaction between HIV/cART and immunity, metabolism, and adipose tissue; (III) establish the specific role of individual drugs on WG; (IV) clarify the independent role of WG, cART, HIV, and metabolic factors on clinical events.

CONCLUSIONS

The proposed research agenda may help define future research and fill the knowledge gaps that have emerged from this review.

Changes in body mass index, weight, and waist-to-hip ratio over five years in HIV-positive individuals in the HIV Heart Aging Study compared to the general population

PURPOSE

Overweight and obesity have increased in people living with HIV (PLH). Our study evaluated weight, body-mass-index (BMI), and waist-to-hip ratio (WHR) change over 5 years of follow-up in PLH compared to the general population.

METHODS

HIV-positive participants in the HIV Heart Aging (HIVH) study were matched 1:2 by age and sex with HIV-negative controls of the population-based Heinz Nixdorf Recall (HNR) study. Both studies were recruited in the German Ruhr area. The association between HIV and weight, BMI, and WHR changes was examined using linear regression. Regression models were adjusted for parameters potentially affecting weight gain.

RESULTS

The matched HIVH and HNR participants (N = 585 and N = 1170, respectively; 14.7% females) had a mean age of 55 years at baseline. Despite the lower baseline weight (- 6 kg, 95% CI - 7.46 to - 4.59), the linear regression showed greater absolute and relative weight and BMI increases after 5 years in HIVH compared to HNR. Adjusting the linear regression models for smoking amplified that HIVH had a higher absolute and relative weight difference of 0.7 kg or ~ 1% compared to HNR after 5 years (95% Cl 0.1 to 1.3 and 0.2 to 1.6, respectively). Adjusting for HDL, LDL, systolic blood pressure, and diabetes mellitus did not affect the results.

CONCLUSIONS

PLH had lower weight than the general population at baseline and after 5 years, but experienced greater increases in body weight after 5 years. WHR change after 5 years was lower in PLH compared to the general population, despite a higher WHR at baseline.

Limited Weight Impact After Switching From Boosted Protease Inhibitors to Dolutegravir in Persons With Human Immunodeficiency Virus With High Cardiovascular Risk: A Post Hoc Analysis of the 96-Week NEAT-022 Randomized Trial

BACKGROUND

In the NEAT022 trial, virologically suppressed persons with human immunodeficiency virus (HIV) at high cardiovascular risk switching from protease inhibitors to dolutegravir either immediately (DTG-I) or after 48 weeks (DTG-D) showed noninferior virological suppression and significant lipid and cardiovascular disease risk reductions on switching to dolutegravir relative to continuing protease inhibitors.

METHODS

In post hoc analysis, major endpoints were 48-week and 96-week weight and body mass index (BMI) changes. Factors associated with weight/BMI changes within the first 48 weeks of DTG exposure, proportion of participants by category of percentage weight change, proportions of BMI categories over time, and impact on metabolic outcomes were also assessed.

RESULTS

Between May 2014 and November 2015, 204 (DTG-I) and 208 (DTG-D) participants were included. Weight significantly increased (mean, +0.810 kg DTG-I arm, and +0.979 kg DTG-D arm) in the first 48 weeks postswitch, but remained stable from 48 to 96 weeks in DTG-I arm. Switching from darunavir, White race, total to high-density lipoprotein cholesterol ratio <3.7, and normal/underweight BMI were independently associated with higher weight/BMI gains. The proportion of participants with ≥5% weight change increased similarly in both arms over time. The proportions of BMI categories, use of lipid-lowering drugs, diabetes and/or use of antidiabetic agents, and hypertension and/or use of antihypertensive agents did not change within or between arms at 48 and 96 weeks.

CONCLUSIONS

Switching from protease inhibitors to dolutegravir in persons with HIV with high cardiovascular risk led to modest weight gain limited to the first 48 weeks, which involved preferentially normal-weight or underweight persons and was not associated with negative metabolic outcomes.

CLINICAL TRIALS REGISTRATION

NCT02098837 and EudraCT 2013-003704-39.

Striking differences in weight gain after cART initiation depending on early or advanced presentation: results from the ANRS CO4 FHDH cohort

BACKGROUND

Many studies have reported weight gain in ART-naive people living with HIV (PWH) initiating an integrase strand-transfer inhibitor-based regimen. We studied the impact of early or advanced presentation and that of individual drugs in PWH initiating combined ART (cART) between 2012 and 2018.

METHODS

From the French Hospital Database HIV cohort, we assessed factors associated with a weight gain  ≥10%, weight change after cART initiation or BMI increase  ≥5 kg/m2 up to 30 months. The analyses were conducted overall, and among PWH with early (primary infection or CD4 >350/mm3 and viral load  <100 000 copies/mL, without AIDS) and advanced presentation (AIDS or CD4 <200/mm3, not during primary infection).

RESULTS

At 30 months, 34.5% (95% CI: 33.5-35.6) of the 12 773 PWH had a weight gain ≥10%, with 20.9% (95% CI: 19.6-22.2) among the 5794 with early presentation and 63.1% (95% CI: 60.9-65.3) among the 3106 with advanced presentation. Weight gain was 2.8 kg (95% CI: 2.0-3.7) for those with early presentation and 9.7 kg (95% CI: 8.4-11.1) for those with advanced presentation. Most weight gain occurred in the first 12 months. Underweight and obese PWH were at significantly higher risk of a BMI increase  ≥5 kg/m2 than normal-weight PWH. Results differed within classes and by outcome. Raltegravir and dolutegravir were consistently associated with greater weight gain than the other third agents. Tenofovir alafenamide was also associated with higher weight gain than tenofovir disoproxil or abacavir.

CONCLUSIONS

After initiating cART, PWH with early presentation exhibited a small weight gain, whereas it was large among those with advanced presentation. The choice of ART should account for the risk of weight gain, especially for PWH who present with advanced disease and/or are obese.

The Effects of Viruses on Insulin Sensitivity and Blood-Brain Barrier Function

In this review manuscript, we discuss the effects of select common viruses on insulin sensitivity and blood-brain barrier (BBB) function and the potential overlapping and distinct mechanisms involved in these effects. More specifically, we discuss the effects of human immunodeficiency virus (HIV), herpes, hepatitis, influenza, respiratory syncytial virus (RSV), and SARS-CoV-2 viruses on insulin sensitivity and BBB function and the proposed underlying mechanisms. These viruses differ in their ability to be transported across the BBB, disrupt the BBB, and/or alter the function of the BBB. For RSV and SARS-CoV-2, diabetes increases the risk of infection with the virus, in addition to viral infection increasing the risk for development of diabetes. For HIV and hepatitis C and E, enhanced TNF-a levels play a role in the detrimental effects. The winter of 2022-2023 has been labeled as a tridemic as influenza, RSV, and COVID-19 are all of concern during this flu season. There is an ongoing discussion about whether combined viral exposures of influenza, RSV, and COVID-19 have additive, synergistic, or interference effects. Therefore, increased efforts are warranted to determine how combined viral exposures affect insulin sensitivity and BBB function.