No overall impact on rate of weight gain with integrase inhibitor-containing regimens in antiretroviral-naïve adults

Metabolic Complications Associated with Use of Integrase Strand Transfer Inhibitors (InSTI) for the Treatment of HIV-1 Infection: Focus on Weight Changes, Lipids, Glucose and Bone Metabolism

PURPOSE OF REVIEW

This review aims to summarize recently published peer reviewed papers on the influence of treatment with Integrase Strand Transfer Inhibitors (InSTI) in people with HIV (HIV) on metabolic health, including weight gain, lipid parameters, glucose homeostasis, and bone health.

RECENT FINDINGS

InSTI have a mild/moderate effect on weight gain in both antiretroviral (ART) naïve and ART experienced PWH, which is more pronounced in certain groups (i.e. women, people of Black African ethnicity, those with lower socioeconomic status, and older people). The effect on weight is also driven by other components of the ART regimen as well as previous exposure to certain ART. InSTI have a relatively safe profile in terms of lipid parameters and bone health, compared to other ART classes, although some studies suggest a greater risk of insulin resistance and diabetes in PWH using InSTI, especially 2nd generation InSTI. While there is some evidence suggesting a negative impact of InSTI on some aspects of metabolic health (weight gain and glucose homeostasis), they remain the preferred treatment option for most PWH, due to their high efficacy and tolerability. However, an individualised approach to ART choice in PWH should be used in order to avoid negative outcomes in populations at higher risks of metabolic complications.

Weight gain in patients starting Dolutegravir-based ART according to baseline CD4 count after 48 weeks of follow up

BACKGROUND

Excessive weight gain is a current concern among People Living with HIV (PLHIV) starting ART.

OBJECTIVES

To evaluate the weight gain after 48-weeks of ART in naive patients, according with baseline CD4 count.

METHODS

PLHIV starting 3TC + TDF + DTG with at least 48-weeks of follow up in two AIDS referral centers were stratified by baseline CD4 count (lower or higher than 200 cells/mm3). Data on CD4 count, HIV viral load, weight/Body Mass Index (BMI), lipids and glucose levels were collected at baseline, 24 and 48 weeks of treatment. For analysis purpose, patients were categorized according to their BMI progression.

RESULTS

A total of 270 patients were included in the study. Mean CD4 count were 78.3 ± 61.7 and 536.7 ± 273 cells/mm3 for low and high CD4 count groups, respectively (p < 0.001). Baseline BMI was significantly lower in low CD4 group (21.7 vs. 23.6 Kg/m2, p < 0.001). Patients in low CD4 group gained more weight than those in high CD4 group (11.2 ± 8.5 kg vs. 2.2 ± 4.2 Kg, p = 0.004). Overall weight gain was higher in women, regardless group (13.1 ± 7.9 Kg vs. 1.4 ± 3.6 Kg for women and men, respectively, p < 0.001). The proportion of overweight/obesity significantly increased in low CD4 group. Viral suppression rate was high for both groups. At week 48 the overall proportion of overweight/obesity was like that reported for the Brazilian population.

CONCLUSIONS

Weight gain in the present study indicates a "return to health" phenomenon. Excessive weight gain was more frequent in women.

Weight Changes With Integrase Strand Transfer Inhibitor Therapy in the Management of HIV Infection: A Systematic Review

OBJECTIVE

To describe weight changes with integrase strand transfer inhibitor (INSTI) therapy.

DATA SOURCES

A literature search was performed (through December 15, 2021) using the PubMed and CINAHL databases using the search terms: "integrase inhibitors," "integrase strand transfer inhibitors," and "weight."

STUDY SELECTION AND DATA EXTRACTION

Studies were included that provided relevant information on weight or body mass index (BMI) changes on INSTI therapy. Controlled or observational studies comparing different INSTI therapies or compared INSTI therapy to another class of antiretroviral therapy were included.

DATA SYNTHESIS

Forty-three articles met criteria for inclusion, and data are presented. Although some trials have observed similar weight gains between INSTI, protease inhibitor, and non-nucleoside inhibitor therapies, the increase appears to be greater with INSTI therapy, particularly during initiation of therapy. Risk factors for weight gain with INSTI therapy include female gender, lower CD4 count, and combined use of tenofovir alafenamide. Within the INSTI class, dolutegravir and bictegravir appear to have the greatest propensity for weight gain.

RELEVANCE TO PATIENT CARE AND CLINICAL PRACTICE

INSTI-based therapies are the preferred initial management of HIV infection. Discerning the factors contributing to weight changes on INSTI therapy and risks of associated health-related outcomes is important to both the management of weight gain and HIV medical management.

CONCLUSIONS

Within the INSTI class, dolutegravir and bictegravir may be associated with the greatest risk for weight gain particularly when combined with tenofovir alafenamide. Further research is needed to determine mechanisms for observed weight changes and any contributions to clinically significant metabolic and cardiovascular adverse outcomes associated with INSTI therapy.

Impact of Combined Antiretroviral Therapy on Metabolic Syndrome Components in Adult People Living with HIV: A Literature Review

The development of metabolic derangements as a result of HIV treatment has been an important area of research since the introduction of zidovudine in the 1980's. Antiretroviral therapy has intensely evolved in the last three decades, with new drugs gradually incorporated into everyday clinical practice. With the life expectancy of people living with HIV rapidly approaching that of their HIV-negative counterparts, the influence of these antiretrovirals on the development of the components of the metabolic syndrome remains of major interest to clinicians and their patients. In this review, we aimed to discuss the impact of cART on components of the metabolic syndrome, i.e., weight, plasma lipid levels, plasma glucose levels, and blood pressure, describing the influence of cART classes and of individual antiretrovirals. We also aimed to outline the limitations of the research conducted to date and the remaining knowledge gaps in this area.