Background Initiation of antiretroviral therapy (ART) often leads to weight gain. While some of this weight gain may be an appropriate return-to-health effect, excessive increases in weight may lead to obesity. We sought to explore factors associated with weight gain in several randomized comparative clinical trials of ART initiation. Methods We performed a pooled analysis of weight gain in 8 randomized controlled clinical trials of treatment-naive people living with human immunodeficiency virus (HIV) initiating ART between 2003 and 2015, comprising >5000 participants and 10 000 person-years of follow-up. We used multivariate modeling to explore relationships between demographic factors, HIV disease characteristics, and ART components and weight change following ART initiation. Results Weight gain was greater in more recent trials and with the use of newer ART regimens. Pooled analysis revealed baseline demographic factors associated with weight gain including lower CD4 cell count, higher HIV type 1 RNA, no injection drug use, female sex, and black race. Integrase strand transfer inhibitor use was associated with more weight gain than were protease inhibitors or nonnucleoside reverse transcriptase inhibitors (NNRTIs), with dolutegravir and bictegravir associated with more weight gain than elvitegravir/cobicistat. Among the NNRTIs, rilpivirine was associated with more weight gain than efavirenz. Among nucleoside/nucleotide reverse transcriptase inhibitors, tenofovir alafenamide was associated with more weight gain than tenofovir disoproxil fumarate, abacavir, or zidovudine. Conclusions Weight gain is ubiquitous in clinical trials of ART initiation and is multifactorial in nature, with demographic factors, HIV-related factors, and the composition of ART regimens as contributors. The mechanisms by which certain ART agents differentially contribute to weight gain are unknown.

Introduction: Weight gain following antiretroviral therapy (ART) initiation is common, potentially predisposing some persons with HIV (PWH) to cardio-metabolic disease. We assessed relationships between ART drug class and weight change among treatment-na€ ıve PWH initiating ART in the North American AIDS Cohort Collaboration on Research and Design (NA-ACCORD). Methods: Adult, treatment-na€ ıve PWH in NA-ACCORD initiating integrase strand transfer inhibitor (INSTI), protease inhibitor (PI) or non-nucleoside reverse-transcriptase inhibitor (NNRTI)-based ART on/after 1 January 2007 were followed through 31 December 2016. Multivariate linear mixed effects models estimated weight up to five years after ART initiation, adjusting for age, sex, race, cohort site, HIV acquisition mode, treatment year, and baseline weight, plasma HIV-1 RNA level and CD4 + cell count. Due to shorter follow-up for PWH receiving newer INSTI drugs, weights for specific INSTIs were estimated at two years. Secondary analyses using logistic regression and all covariates from primary analyses assessed factors associated with >10% weight gain at two and five years. Results: Among 22,972 participants, 87% were male, and 41% were white. 49% started NNRTI-, 31% started PI-and 20% started INSTI-based regimens (1624 raltegravir (RAL), 2085 elvitegravir (EVG) and 929 dolutegravir (DTG)). PWH starting INSTI-based regimens had mean estimated five-year weight change of +5.9kg, compared to +3.7kg for NNRTI and +5.5kg for PI. Among PWH starting INSTI drugs, mean estimated two-year weight change was +7.2kg for DTG, +5.8kg for RAL and +4.1kg for EVG. Women, persons with lower baseline CD4 + cell counts, and those initiating INSTI-based regimens had higher odds of >10% body weight increase at two years (adjusted odds ratio = 1.37, 95% confidence interval: 1.20 to 1.56 vs. NNRTI). Conclusions: PWH initiating INSTI-based regimens gained, on average, more weight compared to NNRTI-based regimens. This phenomenon may reflect heterogeneous effects of ART agents on body weight regulation that require further exploration.

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Background Treatment initiation with integrase strand transfer inhibitors (INSTIs) has been associated with excess weight gain. Whether similar gains are seen after switch to INSTIs among virologically suppressed persons is less clear. We assessed pre/post-INSTI weight changes from AIDS Clinical Trials Group participants (A5001 and A5322). Methods Participants who were in follow-up from 1997–2017 and switched to INSTI-based antiretroviral regimens were included. Piecewise linear mixed-effects models adjusting for age, sex, race/ethnicity, baseline BMI, nadir and current CD4+ T-cell count, smoking, diabetes and follow-up time with suppressed HIV-1 RNA examined weight and waist circumference change before and after first switch to INSTIs. Linear spline models with a single knot at time of switch accounted for nonlinear trends. Results The 972 participants who switched to INSTIs were 81% male and 50% nonwhite with a median age at switch of 50 years, CD4+ T-cell count 512 cells/μL, and BMI 26.4 kg/m2. Restricting to persons with suppressed HIV-1 RNA at switch (n = 691), women, blacks, and persons ≥60 years experienced greater weight gain in the 2 years after versus before switch. In adjusted models, white or black race, age ≥60, and BMI ≥30 kg/m2 at switch were associated with greater weight gain following switch among women; age ≥60 was the greatest risk factor among men. Trends for waist circumference were similar. Conclusions Yearly weight gain increased following switch to INSTIs, particularly for women, blacks, and persons aged ≥60. Concomitant increases in waist circumference suggest that this weight gain is associated with an increase in fat mass.

Adipose tissue accounts for ~20-30% of total body weight in non-obese or overweight persons and for up to 50% in individuals with obesity and is a primary energy store with important endocrine and immunomodulatory functions. Most adipose tissue depots are comprised of white fat, which is responsible for energy storage and release in response to food intake and energy demand. In humans, brown and beige fat are minor components of adipose tissue and can dissipate energy as heat. White adipocytes sequester dietary lipids in adipose tissue depots to serve as energy stores during periods of fasting and prevent toxic lipid accumulation in other tissues such as muscle, liver, pancreas and heart 1. In addition, white adipocytes have a role in glucose and lipid metabolism and respond differentially to physiological cues or metabolic stresses by releasing adipokines and lipokines that regulate energy expenditure, appetite control, glucose homeostasis, insulin sensitivity, inflammation, immune function and tissue repair 2. Although adipose tissue is mainly comprised of adipocytes, it also contains mesenchymal stem cells (which can differentiate into adipocytes, myoblasts, osteoblasts and chondroblasts), immune cells (including M1 and M2 phenotype macrophages, CD4 + T cells and CD8 + T cells) and fibroblasts, in addition to blood vessels and nerves. Fat expands owing to excess energy supply either through hypertrophy (increased size of existing adipocytes) or hyperplasia (the formation of new adipocytes from mesenchymal stem cells in adipose tissue). In obesity, hypertrophic adipocytes have different biochemical properties to smaller adipocytes, including increased lipolysis, inflammatory cytokine production and reduced secretion of anti-inflammatory adipokines, such as adiponectin, that are also involved in insulin sensi tivity 1. Such alterations in fat depots predispose to ectopic lipid accumulation and the development of comorbidities, including type 2 diabetes mellitus (T2DM), non-alcoholic fatty liver disease (NAFLD), sarcopenia, atherosclerosis and heart failure 2. During physiological ageing, fat is lost from lower limbs and increases in the trunk, alongside accumulation of senescent adipocytes that have altered adipogenic potential and increased secretion of proinflammatory cytokines 3. Fat alteration became a major concern in Western countries in the mid-1990s, when people living with HIV (PLWH) receiving combination antiretroviral therapy

Obesity following ART initiation is frequent among HIV-infected adults. Key risk factors include female sex, HIV disease severity and INSTI use. Further research regarding the association between INSTIs and the development of obesity is needed.

BackgroundHuman strongyloidiasis varies from a chronic but limited infection in normal hosts to hyperinfection in patients treated with corticosteroids or with HTLV-1 co-infection. Regulatory T cells dampen immune responses to infections. How human strongyloidiasis is controlled and how HTLV-1 infection affects this control are not clear. We hypothesize that HTLV-1 leads to dissemination of Strongyloides stercoralis infection by augmenting regulatory T cell numbers, which in turn down regulate the immune response to the parasite.ObjectiveTo measure peripheral blood T regulatory cells and Strongyloides stercoralis larval antigen-specific cytokine responses in strongyloidiasis patients with or without HTLV-1 co-infection.MethodsPeripheral blood mononuclear cells (PBMCs) were isolated from newly diagnosed strongyloidiasis patients with or without HTLV-1 co-infection. Regulatory T cells were characterized by flow cytometry using intracellular staining for CD4, CD25 and FoxP3. PBMCs were also cultured with and without Strongyloides larval antigens. Supernatants were analyzed for IL-5 production.ResultsPatients with HTLV-1 and Strongyloides co-infection had higher parasite burdens. Eosinophil counts were decreased in the HTLV-1 and Strongyloides co-infected subjects compared to strongyloidiasis-only patients (70.0 vs. 502.5 cells/mm3, p = 0.09, Mann-Whitney test). The proportion of regulatory T cells was increased in HTLV-1 positive subjects co-infected with strongyloidiasis compared to patients with only strongyloidiasis or asymptomatic HTLV-1 carriers (median = 17.9% vs. 4.3% vs. 5.9 p<0.05, One-way ANOVA). Strongyloides antigen-specific IL-5 responses were reduced in strongyloidiasis/HTLV-1 co-infected patients (5.0 vs. 187.5 pg/ml, p = 0.03, Mann-Whitney test). Reduced IL-5 responses and eosinophil counts were inversely correlated to the number of CD4+CD25+FoxP3+ cells.ConclusionsRegulatory T cell counts are increased in patients with HTLV-1 and Strongyloides stercoralis co-infection and correlate with both low circulating eosinophil counts and reduced antigen-driven IL-5 production. These findings suggest a role for regulatory T cells in susceptibility to Strongyloides hyperinfection.

Data demonstrating non-inferiority of switching to ABC/DTG/3TC versus continuing current ART support ABC/DTG/3TC as an option when considering switch regimens in HIV-1-infected adults with stable viral suppression.