Your new experience awaits. Try the new design now and help us make it even better

ORIGINAL RESEARCH article

Front. Virol., 06 January 2026

Sec. Antivirals and Vaccines

Volume 5 - 2025 | https://doi.org/10.3389/fviro.2025.1717896

Dolutegravir-based antiretroviral therapy-associated hyperglycemia in persons living with human immunodeficiency virus in Niger: a multicentric cross-sectional study

Abdourahamane Yacouba*Abdourahamane Yacouba1*Ramatou SidibeRamatou Sidibe2Aboubacar-Sidick Chegou Sonouchi DallaAboubacar-Sidick Chegou Sonouchi Dalla1Ali Inoussa IssaAli Inoussa Issa2Sahada Moussa SaleySahada Moussa Saley3Ounoussa TaphaOunoussa Tapha4Abdou Natali BassirouAbdou Natali Bassirou4Mahamadou DoutchiMahamadou Doutchi5Souleymane BrahSouleymane Brah2Idrissa Massi Abdoul-WahabIdrissa Massi Abdoul-Wahab2Yacouba NouhouYacouba Nouhou6Oumi-Ramatou Amidou GandaOumi-Ramatou Amidou Ganda6Saidou Mamadou,Saidou Mamadou1,4
  • 1Faculty of Health Sciences, Abdou Moumouni University, Niamey, Niger
  • 2Department of Medicine, Hôpital National Amirou Boubacar Diallo, Niamey, Niger
  • 3Department of Medicine, Hôpital National de Niamey, Niamey, Niger
  • 4National Reference Laboratory for HIV, Hôpital National Amirou Boubacar Diallo, Niamey, Niger
  • 5Department of Medicine, Hôpital National de Zinder, Zinder, Niger
  • 6Ministry of Public Health and Hygiene, Niamey, Niger

Background: Growing evidence from clinical and experimental research suggests that dolutegravir is associated with hyperglycemia. This study aimed to determine the prevalence of hyperglycemia and its associated factors among persons living with human immunodeficiency virus (PLWH) on dolutegravir-based antiretroviral therapy in Niger.

Methodology: This was a retrospective multicentric cross-sectional study carried out using data from PLWH who had been examined between January 2022 and June 2024. Data were collected from July to September 2024. PLWH aged 18 years or older who had been on dolutegravir-based antiretroviral therapy for more than three months were enrolled in the study. Hyperglycemia was defined as a fasting plasma glucose level ≥7.0 mmol/L. A multivariable logistic regression analysis was conducted in RStudio version 4.4.1 to identify factors associated with hyperglycemia. Variables with a p-value less than 0.05 were considered statistically significant.

Results: A total of 633 records were reviewed during the study period, of which 39.0% (n = 247) had baseline blood glucose levels and were included in this analysis. The mean age of patients was 38.9 ± 11.8 years. More than half of the patients (60.5%; n = 101) had a normal body mass index. The mean duration of the dolutegravir-based regimen was 13.9 ± 7.05 months. The prevalence of hyperglycemia was 36.4% (n = 51). In multivariate analysis, patients with primary (adjusted Odds ratio (aOR): 8.26; 95% CI: 1.47-62.00, p=0.024), secondary (aOR: 6.29; 95%CI: 1.12-48.28; p=0.051), and tertiary (aOR: 9.39; 95%CI: 1.34-89.92; p=0.034) educational levels, patients with a history of personal hypertension (aOR: 4.24; 95% CI: 1.17-17.18; p = 0.033) were significantly associated with hyperglycemia among PLWH on dolutegravir-based ART regimens.

Conclusion: The prevalence of hyperglycemia among PLWH on dolutegravir-based antiretroviral therapy regimens was relatively high in Niger. Educated PLWH and hypertension were identified as risk factors for hyperglycemia. Baseline and periodic monitoring of plasma glucose might be required in antiretroviral therapy containing dolutegravir care in Niger.

Introduction

The advent of antiretroviral therapy (ART) has significantly improved the prognosis of persons living with HIV (PLWH), transforming it from a fatal illness into a manageable chronic condition (1). Among widely used ART regimens, dolutegravir (DTG), an integrase strand transfer inhibitor (INSTI), has gained prominence for its potent antiviral activity, favorable safety profile, and high barrier to resistance (2). The World Health Organization (WHO) has endorsed DTG as the preferred first-line and second-line treatment for HIV, including for pregnant women and those of childbearing potential (3). This recommendation is based on evidence evaluating the benefits and risks of DTG, and it has been adopted by many countries in sub-Saharan Africa, including Niger (4).

However, several studies have investigated the relationship between people with HIV’s use of DTG and weight gain (57). DTG induces considerable weight gain in ART-naive individuals initiating DTG for the first time, according to recent studies including randomized trials conducted in sub-Saharan Africa (4, 8, 9). Additionally, ART-experienced patients tend to gain weight when transitioning from a protease inhibitor or non-nucleoside reverse transcriptase inhibitor-based regimen to a DTG-based regimen (7, 10). The exact mechanism of hyperglycemia in DTG-based therapy is not fully understood. One proposed mechanism involves magnesium interference, which could affect glucose transport and insulin signaling (11). Adiponectin expression was reduced in subcutaneous adipose tissue of macaques (12, 13). Despite DTG’s proadipogenic effect in vitro, it can impair adipocyte function, leading to insulin resistance and decreased secretion of leptin and adiponectin (14). Long-term DTG exposure can also reduce insulin-stimulated glucose transport and induce insulin resistance in adipocyte-differentiated adipose stem cells (12). DTG increases reactive oxygen species production, leading to mitochondrial dysfunction characterized by increased mitochondrial mass and decreased membrane potential in proliferating adipose stem cells and adipocytes (12). Elevated oxidative stress levels have been associated with insulin resistance in vitro and in obese individuals (15, 16).

According to a study performed in Uganda, more than 1 in 10 PLWH on DTG-based ART developed hyperglycemia (17). Hyperglycemia is a significant concern in PLWH, as it increases the risk of cardiovascular disease, diabetes mellitus, and other metabolic complications (18, 19). Hyperglycemia risk factors among PLWH on DTG-based ART were widely described in the literature. It has been reported that age (20), duration of DTG-based ART (21), hypertension (17), and obesity (22) were significantly associated with hyperglycemia among PLWH on DTG-based ART.

In Niger, where approximately 0,20% of adults live with HIV (23), DTG-based regimens have been widely used since 2020. However, to the best of our knowledge, no data are available concerning the effect of DTG-based ART regimens on hyperglycemia and its associated factors in the Nigerien population.

Thus, this study aimed to determine the prevalence of hyperglycemia and its associated factors among PLWH on DTG-based ART at four different HIV treatment centers in Niamey, Niger.

Methods and materials

Study design, period, and setting

This was a retrospective multicentric cross-sectional study carried out using data of PLWH who had been examined between January 2022 and June 2024. There are six public tertiary care hospitals in Niger. These public tertiary hospitals include general, national, and specialist hospitals. Tertiary hospitals provide comprehensive and specialized healthcare to the general population, serving as centers for postgraduate medical training and health research. Niamey is the capital and largest city of Niger, with a population of about 1.4 million inhabitants. The city of Niamey alone has five of the country’s seven HIV treatment centers. The study was carried out in four HIV treatment centers, including two tertiary care hospitals (Hôpital National de Niamey and Hôpital National Amirou Boubacar Diallo), and two regional centers (Centre de Traitement Ambulatoire and Mieux Vivre avec le SIDA). These centers have been serving 6515 PLWH in 2023.

Study population and sampling technique

The study’s target population consisted of all patients acquiring HIV who received DTG-based ART, since its introduction in 2020 in Niger. The source population included patients acquiring HIV who received DTG-based ART for at least three months in four HIV care centers in Niamey from 2022 to 2024.

Purposive sampling was used to collect exhaustive data of PLWH under treatment seen in consultation in the four HIV treatment centers in Niamey. Participants were enrolled from centers serving PLWH as follows: 109 at Hôpital National de Niamey, 35 at Hôpital National Amirou Boubacar Diallo, 57 at Centre de Traitement Ambulatoire, and 46 at Mieux Vivre avec le SIDA.

Inclusion and exclusion criteria

PLWH aged 18 years or older who had been on DTG-based ART for more than three months were included in this study. PLWH with known diabetes mellitus, thyroid dysfunction, renal damage, and chronic liver disease were excluded (Figure 1).

Figure 1
Flowchart depicting a study of dolutegravir-based therapy in people living with HIV. Inclusion criteria include last glucose level, age over 18, no diabetes history, and sampling from four HIV care centers in Niamey. The timeline spans zero to three months for follow-up.

Figure 1. Study design.

Treatment protocol

During the period of this study, two DTG-based regimens were in use in Niger: Tenofovir/Lamivudine/Dolutegravir and Abacavir/Lamivudine/Dolutegravir.

Study variables

The dependent variable was hyperglycemia in PLWH receiving DTG-based ART, with the modalities coded as 1 (Yes) and 0 (No). Independent variables were sociodemographic data such as age, sex, marital status, level of education, socioeconomic level, place of residence and occupational status. Using a survey form, clinical and biological data including duration of being HIV-positive, WHO clinical stage of AIDS, body mass index, comorbidities, history of personal hypertension, history of hyperglycemia, viral load, lipid profile, current ART regimen type and duration of treatment, were also collected from the patient’s medical record.

Data collection and analysis

Data were collected from July to September 2024 using a pre-established individual survey form and entered into KoboToolbox v2021.2.4, and then exported to RStudio version 4.4.0 for analysis. Descriptive analysis was conducted, and the results were presented in tables. Categorical and discrete variables were described using frequencies and percentages. Continuous variables were described using means and standard deviation if normally distributed, and median and interquartile range (IQR) if not normally distributed. Using the chi-square test, categorical variables were compared. The independent t-test was used to assess differences between groups for continuous variables that met normality assumptions. In contrast, the Mann-Whitney U test was used for continuous variables that did not meet the normality assumptions. The normality of the data distribution was assessed using the Shapiro–Wilk test. The relationships between outcome variables and potential associated factors were investigated using bivariable and multivariable binary logistic regression models. Variables with p-values ≤ 0.2 in the univariate analysis were included in a multivariable logistic regression model. The results are presented as odds ratios, along with 95% confidence intervals. A p-value < 0.05 was considered statistically significant. Multicollinearity among selected independent variables was checked, and the variance inflation factor was found to be acceptable (less than 5). The Hosmer-Lemeshow test was used to assess the model’s goodness-of-fit.

Definition of terms

Hyperglycemia was defined as a fasting plasma glucose level (FPG) ≥7.0 mmol/L or a random plasma glucose ≥11.1 mmol/L in an individual with classic symptoms of hyperglycemia. Hyperglycemia thresholds were based on the 2024 American Diabetes Association (ADA) guidelines (24). Hypertension was defined as systolic blood pressure ≥ 140 mmHg and/or diastolic blood pressure ≥ 90 mmHg. BMI was classified as underweight (<18.5 kg/m²), normal weight (18.5–24.9 kg/m²), overweight (25–29.9 kg/m²), and obese (≥ 30 kg/m²). Dyslipidemia was defined according to the National Cholesterol Education Program Adult Treatment Panel III guidelines as having total cholesterol (TC) levels of ≥ 5.2 mmol/L, low-density lipoprotein cholesterol (LDL-C) levels of ≥ 3.4 mmol/L, triglycerides (TG) of ≥ 1.7 mmol/L, and high-density lipoprotein cholesterol (HDL-C) levels of < 1.03 mmol/L for men and < 1.29 mmol/L for women, either in isolation or in combination (25).

Results

Baseline characteristics of patients enrolled

The mean age of patients was 38.9 ± 11.8 years, with a range of 18–75 years. The majority of patients were female (53.0%; n = 131), with an age range of 18 to 40 years (58.0%; n = 142). More than half of the patients (60.5%; n = 101) had a normal body mass index, while 65.7% (n = 130) and 34.5% (n = 69) had a history of familial and personal hypertension, respectively. Patients at the WHO clinical stage 3 were more represented (38.9%; n = 63). The mean duration of DTG-based regimen was 13.9 ± 7.05 months, with 52.6% (n=130) of patients using DTG-based ART for 12–24 months (Table 1).

Table 1
www.frontiersin.org

Table 1. Socio-demographic and clinical characteristics of patients.

Prevalence of hyperglycemia among PLWH on DTG-based ART

Between January 1st, 2022, and June 30th, 2024, 633 individuals were screened for inclusion, of which 247 (39.0%) were enrolled. Among patients with baseline blood glucose levels (n=247), 56.7% (n = 140) had a last blood glucose level. Among patients with a last blood glucose level, 36.4% (n = 51; 95% CI: 24.50–44.40) had hyperglycemia (Figure 2).

Figure 2
Flowchart showing records reviewed for blood glucose levels. Of 633 records, 247 had baseline glucose measured, while 386 did not. Among those measured, 56.7% had their last glucose recorded, resulting in 36.4% with hyperglycemia and 63.6% with normoglycemia.

Figure 2. Flow diagram of inclusions.

Factors associated with hyperglycemia among PLWH on DTG-based ART

In the univariate analysis, age over 40 years (OR = 3.06; 95%CI=1.50-6.39; p=0.002), primary educational level (OR = 3.13; 95%CI=1.11-9.56; p=0.036), and a history of personal hypertension (OR = 2.67; 95%CI=1.22-5.94; p=0.015) were significantly associated with hyperglycemia (Table 2).

Table 2
www.frontiersin.org

Table 2. Univariate analysis of factors predicting hyperglycemia in PLWH.

In the multivariate analysis, patients with primary, secondary, and tertiary educational levels had 8.26 (95%CI=1.47– 62.00), 6.29 (95%CI=1.12– 48.28), and 9.39 (95%CI=1.34– 89.92) times higher risk of hyperglycemia, respectively, compared to individuals with an informal educational level. Patients with a history of personal hypertension had a 4.24 (95%CI=1.17– 17.18)-fold increased risk of hyperglycemia compared to those without such a history (Figure 3).

Figure 3
Forest plot showing odds ratios (ORs) with 95% confidence intervals and p-values for various factors. Categories include gender, age groups, educational level, profession, history of hypertension, WHO stages, and DTG-based regimen duration. Significant associations are observed in educational levels and hypertension history. The x-axis represents the odds ratio on a log scale.

Figure 3. Predictors of hyperglycemia in persons living with HIV using multivariate logistic regression analysis. The blue square indicates the adjusted odds ratio (OR) for the listed variable, and the black lines indicate 95% confidence intervals (95% CI). The vertical dotted line indicates the limit of no effect; that is, the OR of the factors that overlap this line has no effect. To the right of it are the factors that increase the OR, and to the left, the factors that reduce the OR. DTG = Dolutegravir; WHO= World health organization.

Discussion

Hyperglycemia poses a considerable risk for PLHIV, as it heightens the likelihood of developing cardiovascular disease, diabetes mellitus, and various other metabolic complications (18, 19). The DTG-based ART regimen was adopted as the preferred treatment option in sub-Saharan Africa, including Niger. Recently, growing evidence from clinical and experimental research suggests that INSTIs are associated with hyperglycemia (2629). This study aimed to determine the prevalence of hyperglycemia and its associated factors among PLWH on DTG-based ART in Niger. To the best of our knowledge, this is the first-ever study to assess this issue in Niger.

Diabetes may be diagnosed based on glycated hemoglobin (A1C) or plasma glucose criteria. Plasma glucose criteria include either the FPG, 2-h plasma glucose during a 75-g oral glucose tolerance test, or random glucose accompanied by classic hyperglycemic symptoms (e.g., polyuria, polydipsia, and unexplained weight loss) or hyperglycemic crises (i.e., diabetic ketoacidosis and/or hyperglycemic hyperosmolar state) (30). PLWH are at higher risk for developing prediabetes and diabetes, with certain ART potentially exacerbating the risk. Therefore, a screening protocol for prediabetes and type 2 diabetes is recommended (31). As the glycated hemoglobin test may not accurately reflect blood glucose levels in PLWH, plasma glucose criteria are preferred for diagnosing hyperglycemia in PLWH (32).

In the present study, the proportion of hyperglycemia (FPG ≥ 7.0 mmol/L (126 mg/dL)) found among DTG-based PLWH (36.4%) was higher than that reported in studies conducted in other parts of Africa, 12.8% (17), and 26.5% (33) in Uganda, 12.1% (20), and 17,2% (34) in Ethiopia. However, our finding was lower than that of a study conducted in Kenya (22), which showed a higher prevalence of FPG ≥ 126 mg/dL in patients treated with DTG-based ART (55.9%). Differences in sample collection state (fasting in our study vs. random), ART exposure (ART-naïve vs. ART-experienced), sample size, study design, and participants’ sociodemographic characteristics may contribute to these incongruous findings. The effect of DTG on insulin sensitivity remains a topic of debate (35). Some studies have not shown any influence of DTG on insulin resistance or blood sugar levels (36, 37). However, other studies (38, 39) have reported that DTG can lead to insulin resistance and reduced adiponectin levels.

Our finding suggests that hyperglycemia is relatively prevalent among PLWH in Niger. At present, the number of PLWH on DTG-based treatment is still on the rise in Niger. With the growing number of PLWH on DTG-based therapy, the number of persons with hyperglycemia is expected to increase. Therefore, baseline and periodic monitoring of plasma glucose might be required in ART treatment containing DTG care in Niger.

In this study, risk factors associated with hyperglycemia in DTG-based ART regimens include primary, secondary, and tertiary educational levels, and a history of personal hypertension. Regionally, reports of the determinants of hyperglycemia among PLWH on DTG–based regimen are summarized in Table 3. Age (17, 2022, 33), hypertension (17, 33), duration of DTG-based ART (21), study site (21), triglyceride level (20), prior DTG use, male sex (27), abnormal waist-hip ratio (27), abnormal total serum cholesterol (27), being overweight (22), obesity (22) were significant factors for hyperglycemia in Africa. In this study, age >40 years was associated with hyperglycemia at univariate analysis, but this association lost significance after adjustment for confounders.

Table 3
www.frontiersin.org

Table 3. Predictors of hyperglycemia among PLWH on DTG-based ART regimen in Africa.

Regarding educational level, the strong association between education and hyperglycemia observed in this study is intriguing. This association is unexpected and may reflect residual confounding (e.g., urbanization, diet, socioeconomic differences). Education serves as a reliable indicator of health-related knowledge and behaviors, which may influence the observed relationship. Previous studies have indicated that HIV prevalence is higher among more educated individuals (40). In HIV and AIDS patients, the level of schooling influences protective behaviors like condom usage, seeking counseling and testing, discussing AIDS with partners, and understanding HIV and AIDS. However, it also correlates with an increased likelihood of infidelity and a decreased likelihood of abstaining from sexual activity (41). Accordingly, educational attainment is a significant predictor of HIV risk in Africa, in part because of risk behaviors and other characteristics among better-educated individuals (42). More interestingly, there is a strong association between years of education and diabetes self-management behaviors in low - and middle-income countries (43). Preventive interventions should focus on diabetes risk in educated PLWH and school-aged populations on DTG-based ART regimens.

This study also revealed an increased risk of hyperglycemia with a history of personal hypertension. Apart from HIV, hypertension is a known risk factor for developing type 2 diabetes, with individuals with hypertension having a significantly higher likelihood of developing diabetes compared to those with normal blood pressure (44, 45).

Several limitations of our study should be acknowledged. First, the cross-sectional design of the study limits our ability to establish causality between DTG exposure and hyperglycemia. Second, we did not assess factors such as physical activity, dietary habits, use of any other medicines, lifestyle, and abnormal waist-to-hip ratio, which could have been associated with hyperglycemia in PLWH on DTG-based regimens. Third, our sample may not be representative of the general population. In Niger, HIV prevalence is disproportionately concentrated among key populations, such as men who have sex with men, people who inject drugs, sex workers, and transgender individuals (46). Variations in demographic characteristics and lifestyle factors across these groups could influence the prevalence of hyperglycemia. Finally, impaired glucose tolerance (IGT) (47) and insulin resistance (48) are commonly observed in PLWH. However, we did not perform oral glucose tolerance tests in this study, which limits our ability to assess the prevalence of IGT in this population. Additionally, hyperglycemia was diagnosed based on a single fasting glucose measurement, which may have led to an overestimation of its actual prevalence. Future longitudinal studies are warranted to clarify the temporal relationships between DTG exposure and the development of hyperglycemia.

Conclusion

The prevalence of hyperglycemia among PLWH on DTG-based ART regimens was high in Niger. Educated HIV-positive patients and hypertension were identified as risk factors for hyperglycemia. Screening for hyperglycemia should be considered for PLWH, especially those with primary, secondary, and tertiary educational levels, and hypertension, to prevent diabetes. Therapeutic education for HIV patients on DTG-based therapy may focus on the risk of diabetes and the importance of careful dietary management. Future studies should assess the association between hyperglycemia and impaired glucose tolerance in this population.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.

Ethics statement

The studies involving humans were approved by Faculty of Health Sciences, Abdou Moumouni University ethical review committee. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

Author contributions

AY: Conceptualization, Formal Analysis, Methodology, Software, Writing – original draft. RS: Methodology, Writing – original draft. A-SD: Data curation, Formal Analysis, Investigation, Writing – original draft. AI: Supervision, Validation, Visualization, Writing – review & editing. SS: Supervision, Validation, Writing – review & editing. OT: Formal Analysis, Writing – review & editing. AB: Writing – review & editing. MD: Conceptualization, Supervision, Validation, Writing – review & editing. SB: Conceptualization, Supervision, Validation, Writing – review & editing. IA: Investigation, Methodology, Writing – review & editing. YN: Writing – review & editing. O-RA: Writing – review & editing. SM: Project administration, Supervision, Validation, Writing – review & editing.

Funding

The author(s) declared that financial support was not received for this work and/or its publication.

Conflict of interest

The authors declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declared that generative AI was not used in the creation of this manuscript.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Forsythe SS, McGreevey W, Whiteside A, Shah M, Cohen J, Hecht R, et al. Twenty years of antiretroviral therapy for people living with HIV: Global costs, health achievements, economic benefits. Health Aff. (Millwood). (2019) 38:1163–72. doi: 10.1377/hlthaff.2018.05391

PubMed Abstract | Crossref Full Text | Google Scholar

2. Loosli T, Hossmann S, Ingle SM, Okhai H, Kusejko K, Mouton J, et al. HIV-1 drug resistance in people on dolutegravir-based antiretroviral therapy: a collaborative cohort analysis. Lancet HIV. (2023) 10:e733–41. doi: 10.1016/S2352-3018(23)00228-X

PubMed Abstract | Crossref Full Text | Google Scholar

3. WHO. WHO recommends dolutegravir as preferred HIV treatment option in all populations (2019). Available online at: https://www.who.int/news/item/22-07-2019-who-recommends-dolutegravir-as-preferred-hiv-treatment-option-in-all-populations (Accessed August 5, 2025).

Google Scholar

4. Phillips AN, Venter F, Havlir D, Pozniak A, Kuritzkes D, Wensing A, et al. Risks and benefits of dolutegravir-based antiretroviral drug regimens in sub-Saharan Africa: a modelling study. Lancet HIV. (2019) 6:e116–27. doi: 10.1016/S2352-3018(18)30317-5

PubMed Abstract | Crossref Full Text | Google Scholar

5. Kouanfack C, Mpoudi-Etame M, Omgba Bassega P, Eymard-Duvernay S, Leroy S, Boyer S, et al. Dolutegravir-based or low-dose efavirenz-based regimen for the treatment of HIV-1. N Engl J Med. (2019) 381:816–26. doi: 10.1056/NEJMoa1904340

PubMed Abstract | Crossref Full Text | Google Scholar

6. Ando N, Nishijima T, Mizushima D, Inaba Y, Kawasaki Y, Kikuchi Y, et al. Long-term weight gain after initiating combination antiretroviral therapy in treatment-naïve Asian people living with human immunodeficiency virus. Int J Infect Dis. (2021) 110:21–8. doi: 10.1016/j.ijid.2021.07.030

PubMed Abstract | Crossref Full Text | Google Scholar

7. Tse J, Prajapati G, Zhao X, Near AM, and Kumar PN. Weight gain following switch to integrase inhibitors from non-nucleoside reverse transcriptase or protease inhibitors in people living with HIV in the United States: analyses of electronic medical records and prescription claims. Curr Med Res Opin. (2023) 39:1237–46. doi: 10.1080/03007995.2023.2239661

PubMed Abstract | Crossref Full Text | Google Scholar

8. Calmy A, Tovar Sanchez T, Kouanfack C, Mpoudi-Etame M, Leroy S, Perrineau S, et al. Dolutegravir-based and low-dose efavirenz-based regimen for the initial treatment of HIV-1 infection (NAMSAL): week 96 results from a two-group, multicentre, randomised, open label, phase 3 non-inferiority trial in Cameroon. Lancet HIV. (2020) 7:e677–87. doi: 10.1016/S2352-3018(20)30238-1

PubMed Abstract | Crossref Full Text | Google Scholar

9. Mulindwa F, Castelnuovo B, Brusselaers N, Bollinger R, Rhein J, Edrisa M, et al. Blood glucose trajectories and incidence of diabetes mellitus in Ugandan people living with HIV initiated on dolutegravir. AIDS Res Ther. (2023) 20:1–11. doi: 10.1186/s12981-023-00510-6

PubMed Abstract | Crossref Full Text | Google Scholar

10. Norwood J, Turner M, Bofill C, Rebeiro P, Shepherd B, Bebawy S, et al. Brief report: weight gain in persons with HIV switched from efavirenz-based to integrase strand transfer inhibitor-based regimens. J Acquir Immune Defic Syndr. (2017) 76:527–31. doi: 10.1097/QAI.0000000000001525

PubMed Abstract | Crossref Full Text | Google Scholar

11. Cattaneo D, Ridolfo AL, Giacomelli A, Calvagna N, Dolci A, Gori A, et al. The drug-drug interaction between dolutegravir and magnesium: not all salts are the same. Eur J Clin Pharmacol. (2025) 81:1097–8. doi: 10.1007/s00228-025-03843-5

PubMed Abstract | Crossref Full Text | Google Scholar

12. Gorwood J, Bourgeois C, Pourcher V, Pourcher G, Charlotte F, Mantecon M, et al. The integrase inhibitors dolutegravir and raltegravir exert proadipogenic and profibrotic effects and induce insulin resistance in human/simian adipose tissue and human adipocytes. Clin Infect Dis. (2020) 71:e549–60. doi: 10.1093/cid/ciaa259

PubMed Abstract | Crossref Full Text | Google Scholar

13. Ngono Ayissi K, Gorwood J, Le Pelletier L, Bourgeois C, Beaupère C, Auclair M, et al. Inhibition of adipose tissue beiging by HIV integrase inhibitors, dolutegravir and bictegravir, is associated with adipocyte hypertrophy, hypoxia, elevated fibrosis, and insulin resistance in simian adipose tissue and human adipocytes. Cells. (2022) 11:1841. doi: 10.3390/cells11111841

PubMed Abstract | Crossref Full Text | Google Scholar

14. Domingo P, Quesada-López T, Villarroya J, Cairó M, Gutierrez MDM, Mateo MG, et al. Differential effects of dolutegravir, bictegravir and raltegravir in adipokines and inflammation markers on human adipocytes. Life Sci. (2022) 308:120948. doi: 10.1016/j.lfs.2022.120948

PubMed Abstract | Crossref Full Text | Google Scholar

15. Matsuda M and Shimomura I. Increased oxidative stress in obesity: implications for metabolic syndrome, diabetes, hypertension, dyslipidemia, atherosclerosis, and cancer. Obes Res Clin Pract. (2013) 7:e330–341. doi: 10.1016/j.orcp.2013.05.004

PubMed Abstract | Crossref Full Text | Google Scholar

16. Okuno Y, Fukuhara A, Hashimoto E, Kobayashi H, Kobayashi S, Otsuki M, et al. Oxidative stress inhibits healthy adipose expansion through suppression of SREBF1-mediated lipogenic pathway. Diabetes. (2018) 67:1113–27. doi: 10.2337/db17-1032

PubMed Abstract | Crossref Full Text | Google Scholar

17. Byereta LH, Olum R, Mutebi EI, Kalyesubula R, Kagimu M, Meya DB, et al. Prevalence and factors associated with hyperglycemia among persons living with HIV/AIDS on dolutegravir-based antiretroviral therapy in Uganda. Ther Adv Infect Dis. (2024) 11:20499361241272630. doi: 10.1177/20499361241272630

PubMed Abstract | Crossref Full Text | Google Scholar

18. Haldane V, Legido-Quigley H, Chuah FLH, Sigfrid L, Murphy G, Ong SE, et al. Integrating cardiovascular diseases, hypertension, and diabetes with HIV services: a systematic review. AIDS Care. (2018) 30:103–115. Available online at: https://www.tandfonline.com/doi/abs/10.1080/09540121.2017.1344350 (August 5, 2025).

PubMed Abstract | Google Scholar

19. So-Armah K, Benjamin LA, Bloomfield GS, Feinstein MJ, Hsue P, Njuguna B, et al. HIV and cardiovascular disease. Lancet HIV. (2020) 7:e279–93. doi: 10.1016/S2352-3018(20)30036-9

PubMed Abstract | Crossref Full Text | Google Scholar

20. Mengistu EF, Adugna A, Getinet M, Amare GA, Ashenef B, Baye G, et al. Hyperglycemia and its associated factors among people living with HIV on dolutegravir-based antiretroviral therapy in Ethiopia: a cross-sectional study. Ther Adv Infect Dis. (2025) 12:20499361251332031. doi: 10.1177/20499361251332031

PubMed Abstract | Crossref Full Text | Google Scholar

21. Ankunda C, Agolor C, Karamagi Y, Nakubulwa S, Namasambi S, Kasamba I, et al. Evaluating the glycemic effects of dolutegravir and its predictors among people with human immunodeficiency virus in Uganda: A prospective cohort study. Open Forum Infect Dis. (2024) 11. doi: 10.1093/ofid/ofae596

PubMed Abstract | Crossref Full Text | Google Scholar

22. Odenyo JA, Mugendi GA, Nyamu DG, and Okiko AA. Dolutegravir Associated glycaemia Among Persons with HIV on Treatment at a Kenyan Referral Hospital. East Afr. Health Res J. (2024) 8:387–93. doi: 10.24248/eahrj.v8i3.808

PubMed Abstract | Crossref Full Text | Google Scholar

23. WHO. Health Topics (Niger). World Health Organ (2025). Available online at: https://www.afro.who.int/fr/countries/niger/topic/health-topics-niger.

Google Scholar

24. ADA. Diagnosis and classification of diabetes: standards of care in diabetes—2024. Diabetes Care. (2024) 47:S20–42. doi: 10.2337/dc24-S002

PubMed Abstract | Crossref Full Text | Google Scholar

25. Lorenzo C, Williams K, Hunt KJ, and Haffner SM. The national cholesterol education program–adult treatment panel III, international diabetes federation, and world health organization definitions of the metabolic syndrome as predictors of incident cardiovascular disease and diabetes. Diabetes Care. (2007) 30:8–13. doi: 10.2337/dc06-1414

PubMed Abstract | Crossref Full Text | Google Scholar

26. Kajogoo VD, Amogne W, and Medhin G. New onset type 2 diabetes mellitus risks with integrase strand transfer inhibitors-based regimens: A systematic review and meta-analysis. Metab Open. (2023) 17:100235. doi: 10.1016/j.metop.2023.100235

PubMed Abstract | Crossref Full Text | Google Scholar

27. Lartey M, Kenu E, Ganu V, Addo SA, Agyabeng K, Bandoh D, et al. Incidence of type 2 diabetes mellitus in persons living with HIV initiated on dolutegravir-based antiretroviral regimen in Ghana: an observational longitudinal study. J Health Popul. Nutr. (2024) 43:199. doi: 10.1186/s41043-024-00695-0

PubMed Abstract | Crossref Full Text | Google Scholar

28. Dias da Costa S, Bichança E, Cruz F, Guimarães AR, Piñeiro C, Santos-Sousa H, et al. Diabetes mellitus in patients with HIV naïve to antiretroviral therapy initiating integrase inhibitors therapy. Sci Rep. (2025) 15:20439. doi: 10.1038/s41598-025-02688-3

PubMed Abstract | Crossref Full Text | Google Scholar

29. Dontsova V, Mohan H, Yee A, Nguyen J, Fahmida M, Greene NDE, et al. Effect of dolutegravir-based antiretroviral therapy on glycemic control in female mice. Sci Rep. (2025) 15:19601. doi: 10.1038/s41598-025-02130-8

PubMed Abstract | Crossref Full Text | Google Scholar

30. American Diabetes Association. Diagnosis and classification of diabetes: standards of care in diabetes-2025. Diabetes Care. (2025) 48:S27–49. doi: 10.2337/dc25-S002

PubMed Abstract | Crossref Full Text | Google Scholar

31. Schambelan M, Benson CA, Carr A, Currier JS, Dubé MP, Gerber JG, et al. Management of metabolic complications associated with antiretroviral therapy for HIV-1 infection: recommendations of an International AIDS Society-USA panel. J Acquir Immune Defic Syndr. (2002) 31:257–75. doi: 10.1097/00126334-200211010-00001

PubMed Abstract | Crossref Full Text | Google Scholar

32. Kim PS, Woods C, Georgoff P, Crum D, Rosenberg A, Smith M, et al. A1C underestimates glycemia in HIV infection. Diabetes Care. (2009) 32:1591–3. doi: 10.2337/dc09-0177

PubMed Abstract | Crossref Full Text | Google Scholar

33. Namara D, Schwartz JI, Tusubira AK, McFarland W, Birungi C, Semitala FC, et al. The risk of hyperglycemia associated with use of dolutegravir among adults living with HIV in Kampala, Uganda: A case-control study. Int J STD AIDS. (2022) 33:1158–64. doi: 10.1177/09564624221129410

PubMed Abstract | Crossref Full Text | Google Scholar

34. Jemal M, Shibabaw Molla T, Tiruneh G Medhin M, Chekol Abebe E, and Asmamaw Dejenie T. Blood glucose level and serum lipid profiles among people living with HIV on dolutegravir-based versus efavirenz-based cART; a comparative cross-sectional study. Ann Med. (2023) 55:2295435. doi: 10.1080/07853890.2023.2295435

PubMed Abstract | Crossref Full Text | Google Scholar

35. Jemal M. A review of dolutegravir-associated weight gain and secondary metabolic comorbidities. SAGE Open Med. (2024) 12:20503121241260613. doi: 10.1177/20503121241260613

PubMed Abstract | Crossref Full Text | Google Scholar

36. Raffi F, Rachlis A, Stellbrink H-J, Hardy WD, Torti C, Orkin C, et al. Once-daily dolutegravir versus raltegravir in antiretroviral-naive adults with HIV-1 infection: 48 week results from the randomised, double-blind, non-inferiority SPRING-2 study. Lancet. (2013) 381:735–43. doi: 10.1016/S0140-6736(12)61853-4

PubMed Abstract | Crossref Full Text | Google Scholar

37. Bahamdain F. Effect of dolutegravir on plasma glucose among human immunodeficiency virus patients in a community health center setting. Cureus. (2022) 14:387–393. doi: 10.7759/cureus.30556

PubMed Abstract | Crossref Full Text | Google Scholar

38. McLaughlin M, Walsh S, and Galvin S. Dolutegravir-induced hyperglycaemia in a patient living with HIV. J Antimicrob Chemother. (2018) 73:258–60. doi: 10.1093/jac/dkx365

PubMed Abstract | Crossref Full Text | Google Scholar

39. Hailu W, Tesfaye T, and Tadesse A. Hyperglycemia after dolutegravir-based antiretroviral therapy. Int Med Case Rep J. (2021) 14:503–7. doi: 10.2147/IMCRJ.S323233

PubMed Abstract | Crossref Full Text | Google Scholar

40. Mutai CK, McSharry PE, Ngaruye I, and Musabanganji E. Use of machine learning techniques to identify HIV predictors for screening in sub-Saharan Africa. BMC Med Res Methodol. (2021) 21:159. doi: 10.1186/s12874-021-01346-2

PubMed Abstract | Crossref Full Text | Google Scholar

41. de Walque D. Does education affect HIV status? Evidence from five african countries. World Bank Econ Rev. (2009) 23:209–33. doi: 10.1093/wber/lhp005

Crossref Full Text | Google Scholar

42. Smith J, Nalagoda F, Wawer MJ, Serwadda D, Sewankambo N, Konde-Lule J, et al. Education attainment as a predictor of HIV risk in rural Uganda: results from a population-based study. Int J STD AIDS. (1999) 10:452–9. doi: 10.1258/0956462991914456

PubMed Abstract | Crossref Full Text | Google Scholar

43. Lamb KE, Crawford D, Thornton LE, Shariful Islam SM, Maddison R, and Ball K. Educational differences in diabetes and diabetes self-management behaviours in WHO SAGE countries. BMC Public Health. (2021) 21:2108. doi: 10.1186/s12889-021-12131-7

PubMed Abstract | Crossref Full Text | Google Scholar

44. Diawara A, Coulibaly DM, Hussain TYA, Cisse C, Li J, Wele M, et al. Type 2 diabetes prevalence, awareness, and risk factors in rural Mali: a cross-sectional study. Sci Rep. (2023) 13:3718. doi: 10.1038/s41598-023-29743-1

PubMed Abstract | Crossref Full Text | Google Scholar

45. Olamoyegun MA, Alare K, Afolabi SA, Aderinto N, and Adeyemi T. A systematic review and meta-analysis of the prevalence and risk factors of type 2 diabetes mellitus in Nigeria. Clin Diabetes Endocrinol. (2024) 10:43. doi: 10.1186/s40842-024-00209-1

PubMed Abstract | Crossref Full Text | Google Scholar

46. UNAIDS. Niger: Results and transparency portal (2024). Available online at: http://open.unaids.org/countries/niger (Accessed September 16, 2025).

Google Scholar

47. Maganga E, Smart LR, Kalluvya S, Kataraihya JB, Saleh AM, Obeid L, et al. Glucose metabolism disorders, HIV and antiretroviral therapy among Tanzanian adults. PLoS One. (2015) 10:e0134410. doi: 10.1371/journal.pone.0134410

PubMed Abstract | Crossref Full Text | Google Scholar

48. Bratt G, Brännström J, Missalidis C, and Nyström T. Development of type 2 diabetes and insulin resistance in people with HIV infection: Prevalence, incidence and associated factors. PLoS One. (2021) 16:e0254079. doi: 10.1371/journal.pone.0254079

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: diabetes, dolutegravir, educational level, hypertension, Niger, person living with HIV, sub-Saharan Africa

Citation: Yacouba A, Sidibe R, Dalla A-SCS, Issa AI, Saley SM, Tapha O, Bassirou AN, Doutchi M, Brah S, Abdoul-Wahab IM, Nouhou Y, Amidou Ganda O-R and Mamadou S (2026) Dolutegravir-based antiretroviral therapy-associated hyperglycemia in persons living with human immunodeficiency virus in Niger: a multicentric cross-sectional study. Front. Virol. 5:1717896. doi: 10.3389/fviro.2025.1717896

Received: 02 October 2025; Accepted: 11 December 2025; Revised: 05 December 2025;
Published: 06 January 2026.

Edited by:

Arif Nur Muhammad Ansori, Universitas Airlangga, Indonesia

Reviewed by:

Befekadu Tesfaye Oyato, Salale University, Ethiopia
Elsa Janneth Anaya Ambriz, University of Guadalajara, Mexico
Enyew Fenta, Debre Markos University, Ethiopia

Copyright © 2026 Yacouba, Sidibe, Dalla, Issa, Saley, Tapha, Bassirou, Doutchi, Brah, Abdoul-Wahab, Nouhou, Amidou Ganda and Mamadou. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Abdourahamane Yacouba, YWJkb3VyYWhhbWFuZXlhY291YmFAeWFob28uZnI=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.