A systematic review of GLP-1 on anthropometrics, metabolic and endocrine parameters in patients with PCOS

Salwa Bader; Rahila Bhatti; Bashair Mussa; Salah Abusanana

doi:10.1177/17455057241234530

. 2024 Mar 5;20:17455057241234530. doi: 10.1177/17455057241234530

A systematic review of GLP-1 on anthropometrics, metabolic and endocrine parameters in patients with PCOS

Salwa Bader ¹, Rahila Bhatti ^1,^2,^✉, Bashair Mussa ³, Salah Abusanana ⁴

PMCID: PMC10916466 PMID: 38444070

Abstract

Polycystic ovary syndrome is a common reproductive endocrine condition that affects women of fertile age and is characterized by three main features, including hyperandrogenism, chronic anovulation, and polycystic ovaries. In addition, half of women with polycystic ovary syndrome have insulin resistance, and obesity or overweight, type 2 diabetes, hypertension, and hyperlipidemia are the most common metabolic abnormalities affecting (30%) women with polycystic ovary syndrome. Weight loss is regarded as the first-line treatment as it can potentially improve polycystic ovary syndrome parameters (androgen levels, menstrual cyclicity, lipid and glucose metabolism). However, achieving and maintaining weight loss can be challenging, and pharmacological agents could be essential to achieve optimal glycemic control and improve the endocrine disturbance associated with polycystic ovary syndrome. Glucagon-like peptide-1 receptor agonist has been demonstrated as monotherapy or in combination with metformin for managing obesity and insulin resistance associated with polycystic ovary syndrome. Yet, its effect on endocrine and metabolic parameters remains elusive, and further research is needed to close the gap. The aim is to evaluate the efficacy of glucagon-like peptide-1 receptor agonist monotherapy and/or a combined treatment between glucagon-like peptide-1 receptor agonist and metformin for improving anthropometric measurements, endocrine and metabolic parameters in lean and obese women with polycystic ovary syndrome. A systematic review of longitudinal cohort studies was conducted across databases including Ovid Medline, PubMed Central, and Cochrane Library between 2015 and 2022. Eligible studies included participants with polycystic ovary syndrome diagnosed according to the 2003 Rotterdam or the 1990 National Institutes of Health criteria. A total of eight studies including 486 patients with polycystic ovary syndrome were analyzed. The mean age was between 18 and 45 years with mean follow-up period between 12 and 32 weeks. In all these studies, results were comparable for the reduction in body mass index, waist circumference, fat mass, and visceral fat mass; however, it was more in combination therapy versus comparator. In conclusion, glucagon-like peptide-1 receptor agonists effectively reduce body weight and improve some of the endocrine and metabolic parameters of polycystic ovary syndrome. A combined treatment with glucagon-like peptide-1 receptor agonist and metformin had significant effects on weight loss and favorable results on endocrine and metabolic parameters, yet further research is needed to discover the long-term safety of combined therapy in women diagnosed with polycystic ovary syndrome and obesity or overweight.

Keywords: anthropometrics, GLP-1, obesity, PCOS

Introduction

Polycystic ovary syndrome (PCOS) is the most prevailing reproductive endocrine condition affecting women in their reproductive years, accounting for 10%–20% of all cases.^1
–4 Approximately 50%–70% of women diagnosed with PCOS display pathophysiological changes and clinical manifestations, including insulin resistance, Luteinizing Hormone (LH)/Follicle-Stimulating Hormone (FSH) secretion disorder, metabolic abnormalities, and an increased risk of subfertility, diabetes mellitus, metabolic syndrome, and cardiovascular diseases.⁵ Furthermore, established guidelines for classifying and managing PCOS include Rotterdam, Androgen Excess Society, and the National Institutes of Health (NIH). However, based on international evidence, Rotterdam 2003 criteria have been advocated as the main diagnostic guideline, which identifies the syndrome as the presence of any two out of the following criteria: (1) oligo-anovulation, (2) clinical or biochemical hyperandrogenism, (3) polycystic ovaries on ultrasound.^6-8

PCOS is often underlined by insulin resistance in which 70% of obese/overweight patients with PCOS have decreased insulin sensitivity.⁹ Further studies have shown that the first-line treatment of PCOS is weight loss and lifestyle modifications due to their potential to improve the endocrine and metabolic profile of these patients; however, it is challenging for patients because of their weight regain.^10
–13 Therefore, pharmacological agents could be essential to achieve optimal glycemic control and to improve the endocrine disturbance associated with PCOS. Metformin is frequently used in women with PCOS and insulin resistance as it reduces hepatic glucose production and improves insulin sensitivity in addition to its glucose-lowering effect¹⁴. Metformin in combination with an oral contraceptive pill (OCP) is recommended as a secondary treatment in certain PCOS guidelines, as it improves insulin resistance and reduces hyperandrogenism and the clinical severity of the syndrome; however, its effect on weight loss is frequently unsatisfactory to patients.^15,16 Thus, the identification of innovative, safe, and effective pharmacological-anti-obesity agents must be addressed for the improvement of fertility.

Glucagon-like peptide-1 receptor agonist (GLP-1 RA) is an incretin hormone that shares a similar effect with incretin mimetic.¹⁷ Over the past decade, the incretin modulator has been introduced as a novel treatment for obesity and type 2 diabetes mellitus,^4,18,19 as it promotes insulin biosynthesis and improves insulin resistance without causing hypoglycemia.²⁰ It is also associated with significant weight reduction due to its ability to regulate energy expenditure and delayed gastric emptying. In addition, it has a safe cardiovascular and renal outcome.^18,17,19,20 Long-acting liraglutide and short-acting exenatide have recently been demonstrated for the management of PCOS,^21
–28 as it has significant effect on weight reduction and favorable outcomes on metabolic and endocrine parameters. In addition, some studies revealed that a combination of GLP-1 RA and Metformin (MET) had the potential to improve menstrual cyclicity, insulin sensitivity, glucose metabolism, and anthropometric measurements.^22,23,27,28 However, the effect of these medications on the endocrine parameters of PCOS still needs to be discovered, with a considerable gap in the available data.

The systematic review aims to highlight research conducted during the past 5 years and evaluating the efficacy of GLP-1 RA compared with metformin and/or a combined treatment between liraglutide or exenatide and metformin for improving anthropometric measurements, endocrine and metabolic parameters in lean and obese women with PCOS. It is important to note that this study will focus only on metformin and GLP-1 RA and will not include the other medications for PCOS and weight loss.

Methods

References

Search strategy and databases

Comprehensive exploration criteria combining medical subject headings, Mesh Subheadings, and relevant text words were used to screen the database as appropriate. These terms included: PCOS, ovary syndrome, polycystic syndrome, polycystic ovary, polycystic ovary disease, hyperandrogenic anovulation, Leventhal syndrome, GLP-1 RA, exenatide, lixisenatide, liraglutide, albiglutide, dulaglutide, and randomized controlled trial (RCT) or controlled clinical trial (CCT).

The search was restricted to human studies published from 2015 to 2022 in English language. Electronic databases including Ovid Medline, PubMed Central, and Cochrane Library were searched on 15 November 2022 (updated: 10 June 2023). In addition, all the selected articles were uploaded to endnotes for automatic deduplication screening and reference management. Furthermore, references from included studies were also analyzed for more relevant articles.

Inclusion criteria

The selection of articles for this systematic review was guided by the Participant, Intervention, Comparison, Outcome, and Study Type (PICOS) framework.

Participants: Females aged 18 and above with a diagnosis of PCOS. We included articles that used Rotterdam, NIH, or NICHD criteria for diagnosing PCOS.
Intervention(s): GLP-1 RA.
Comparison: Compared with metformin or placebo.
Outcomes: Changes in anthropometric measurements, insulin resistance, hyperandrogenism, and metabolic and endocrine parameters.
Study design: RCT studies, such as randomized open-label trials, prospective randomized trials, double-blind controlled trials, and single-blind controlled trials.

Exclusion criteria

Study design: Systematic review, meta-analysis, and animal studies were excluded.
Participants: Postmenopausal period, pregnant women, and women with a diagnosis of diabetes mellitus or cardiovascular disease (CVD) and chronic kidney disease (CKD).
Intervention: GLP-1 RA versus dietary interventions or if GLP-1 RA or metformin were with other treatments were excluded.

Study selection and risk-of-bias assessment

Screening of articles on abstracts and the full text was carried out by one independent reviewer (S.B.) to identify eligible studies. Discrepancies were resolved through consensus or by a second reviewer (R.B.). The methodological quality of included studies was assessed by two independent reviewers (S.B. and R.B.) on individual criteria related to external validity (methodology, inclusion/exclusion criteria, and appropriateness of measured outcomes) and internal validity (detection, selection and reporting bias, confounding, statistical analyses, and study power). Risk-of-bias assessment was resolved through discussion between reviewers to reach a consensus.

Data analysis

Information was collected on general details (authors, reference/source, year of publication, and setting), participants (anthropometric measurements, hyperandrogenism, intervention, and endocrine and metabolic parameters.), and results (point estimates and measures of variability/effect). Due to the large number of outcomes, these data were extracted manually using Microsoft Excel. A narrative description of results is presented according to each outcome category.

Results

Search results

A total of 403 articles were selected from the search as illustrated in Figure 1. Following that we excluded 303 duplicates, 29 studies were excluded based on abstracts, and an additional 63 studies were excluded based on full-text assessment. Ultimately, eight studies satisfied our inclusion criteria.

Characteristics of included studies

The features of the selected articles are outlined in Table 1. One study is comparing metformin versus liraglutide, two studies comparing combination treatment of metformin and liraglutide versus liraglutide, two studies comparing between liraglutide and placebo, one study comparing between exenatide and metformin, and one study comparing combination exenatide and metformin versus metformin. These studies were conducted in women with PCOS aged between 18 and 45 years. The mean follow-up time ranged between 12 and 32 weeks.

Table 1.

Characteristics of included studies.

Author	Study design	Period (weeks)	Diagnostic criteria	Number of cases	Mean age (years), BMI (kg/m²)	Intervention
Jensterle et al.²¹	Randomized study	12 weeks	NICHD criteria	N = 32 (28 completed the study)	27.6 ± 7.2, 39.5 ± 6.2	Metformin 1000 mg BID (n = 15) Liraglutide (1.2 mg QD) (n = 17)
Ma et al.²²	Open-label, randomized, prospective trial	12 weeks	Rotterdam 2003 criteria	N = 50 (40 completed the study)	18–40, ⩾25	Metformin 500 mg TID Combination treatment (metformin 500 mg TID, exenatide 2 mg QW)
Jensterle et al.²³	Prospective randomized, open-label design	12 weeks	Rotterdam criteria	N = 44 (43 completed the study)	30.3 ± 4.4, 37.2 ± 4.5	Combination treatment with metformin 1000 mg BID and liraglutide (1.2 mg OD) Liraglutide (1.2 mg)
Elkind-Hirsch et al.²⁴	Randomized, double-blind, placebo-controlled trial	32 weeks	NIH 1990 criteria	N = 92 (69 were included in the analysis N = 44 lira glutide N = 23 placebo)	18–45, at least 30	Liraglutide (3 mg) Placebo
Liu et al.²⁵	Open-label, prospective, randomized, clinical study	24 weeks	Rotterdam criteria	N = 176	18–40, ⩾24	Exenatide (10 μg BID) Metformin (1000 mg BID)
Frøssing et al.²⁶	Double-blind placebo-controlled RCT	26 weeks	Rotterdam criteria	N = 72	BMI ⩾25 kg/m²	Liraglutide (1.8 mg) Placebo
Jensterle et al.²⁷	Pilot prospective, randomized, open-label design	12 weeks	Rotterdam criteria	N = 30	33.1 ± 6.1, 38.3 ± 5.4	Combination of metformin (1000 mg BID) and liraglutide (1.2 mg QD) (N = 15) Liraglutide (3 mg QD) (N = 15)
Salamun et al.²⁸	A prospective randomized open-label study	12 weeks	Rotterdam criteria	N = 28	31.07 ± 4.75, 36.7 ± 3.5	Metformin (1000 mg BID) Metformin (1000 mg BID) combined with low-dose liraglutide (1.2 mg QD)

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BMI: body mass index; BID: twice a day; QD: every day; TID: 3 times daily; QW: once a week; OD: once daily; NIH: National Institutes of Health; RCT: randomized controlled trial; NICHD: National Institute of Child Health and Human Development.

Changes in anthropometrics, and endocrine and metabolic parameters

The role of GLP-1 RAs has been evaluated in several small studies either alone or in combination with metformin in overweight/obese women with PCOS. Table 2 provides a summary of clinical studies that assessed the weight-reducing effects of GLP-1 RAs as one of their outcomes.

Table 2.

A summary of clinical studies with anthropometric outcomes.

Author	Intervention	BMI (kg/m²) Baseline/after treatment	Body weight (kg) Baseline/after treatment	WC (cm) Baseline/after treatment	Fat mass (%) Baseline/after treatment	Visceral fat mass (G) Baseline/after treatment	Weight loss (kg)
Jensterle et al.²¹	Liraglutide (1.2 mg)	41.6 ± 5.3	113.7 ± 18.7	128.5 ± 13.9	42.5 ± 2.8		−3.0 versus −2.3
	Liraglutide (1.2 mg)	40.5 ± 5.1	110.7 ± 18.1	124.1 ± 11.7	40.8 ± 3.2
	Metformin (1000 mg BID)	37.4 ± 6.4	103.6 ± 19.7	121.6 ± 17.1	43.3 ± 6.4
		36.5 ± 6.3	101.3 ± 19.8	119 ± 18	45.2 ± 4.2
		(p < 0.001)	(p < 0.001)	(p < 0.001)	(p < 0.001)
Ma et al.²²	Metformin (500 mg) TID + exenatide (2 mg)	30.8 ± 3.4	82.3 ± 11.42	97.3 ± 9.6			−3.8 ± 2.4versus −2.1 ± 3.0
		29.4 ± 3.3	78.6 ± 10.9	92.7 ± 8.7
		(p < 0.001)	(p < 0.001)	(p < 0.001)
	Metformin (500 mg TID)	30.4 ± 3.2	79.1 ± 10.8	96.6 ± 9.16
		29.6 ± 2.8	77.0 ± 9.7	95.0 ± 8.1
		(p < 0.01)	(p = 0.008)	(p = 0.009)
Jensterle et al.²³	Metformin (1000 mg BID) + liraglutide (1.2 mg)	37.7 ± 4.0	105.8 ± 15.8	117.2 ± 14.5		824.2 ± 254.7	−6.2 ± 2.4 versus −3.8 ± 3.5
		35.5 ± 4.2	99.6 ± 15.9	105.2 ± 27.0		735.3 ± 227.5
		(p < 0.001)	(p < 0.001)	(p < 0.001)
	Liraglutide (1.2 mg)	36.7 ± 5.1	102.6 ± 17.9	113.0 ± 13.9		791.8 ± 271.4
		35.3 ± 5.1	98.8 ± 17.6	107.5 ± 15.4		721.8 ± 275.4
		(p < 0.001)	(p < 0.001)	(p = 0.002)		(p = 0.008)
Elkind-Hirsch et al.²⁴	Liraglutide (3 mg)	41.6 ± 1.1	111 ± 2.8	111 ± 2.2	47.6 ± 0.8		−5.7 ± 0.75 versus −3.8 ± 3.5
	Liraglutide (3 mg)	39.1 ± 1.1	104.7 ± 2.9	101 ± 2.0	46.0 ± 0.9
	Placebo	43.9 ± 1.7	119 ± 4.7	116 ± 3.3	48.2 ± 0.8
		43.4 ± 1.8	117.9 ± 5	110 ± 3.3	47.9 ± 0.9
		(p = 0.001)	(p = 0.002)	(p = 0.011)	(p = 0.028)
Liu et al.²⁵	Exenatide (10 µg)	29.1 ± 3.1	72.9 ± 9.8	92.9 ± 10.1	44.1 ± 3.8		−4.3 ± 1.3 versus −2.3 ± 0.6
	Exenatide (10 µg)	26.0 ± 3.5	68.7 ± 9.7	83.9 ± 9.7	39.4 ± 3.7
	Metformin (1000 mg BID)	28.3 ± 1.8	70.4 ± 4.6	89.4 ± 6.6	41.3 ± 2.7
		27.2 ± 1.8	68.2 ± 4.6	84.4 ± 5.3	40.2 ± 2.9
		(I < 0.001)	(I < 0.001)	(I = 0.026)	(I = 0.011)
Frøssing et al.²⁶	Liraglutide (1.8 mg)	33.3 ± 5.1	94.2 ± 15.4	102.6 ± 10.8	35.9 ± 8.5	115.7 ± 51.4	−5.2 versus 0.2
	Change at follow-up	−1.9 ± 0.3	−5.2 ± 0.7	−4.1 ± 1.1	−2.6 ± 0.5	−17.2 ± 4.3
	Placebo/Change at follow-up	33.3 ± 4.6	91.3 ± 13.6	102.6 ± 11.1	35.7 ± 7.2	120.9 ± 42.3
		0.1 ± 0.3	0.2 ± 0.9	1.1 ± 1.5	0.3 ± 0.7	4.50 ± 7.0
		(p < 0.001)	(p < 0.001)	(p = 0.01)	(p = 0.002)	(p = 0.006)
Jensterle et al.²⁷	Liraglutide (3 mg)	39.2 ± 5.5	111.1 ± 14.8	110.1 ± 12			−6.3 ± 3.7 versus 3.6 ± 2.5
		37.0 ± 5.5	104.7 ± 14.8	105.9 ± 12.8
		(p = 0.001)	(p = 0.001)	(p = 0.003)
	Liraglutide (1.8 mg) + metformin (1000 mg BID)	37.5 ± 5.3	102.5 ± 9	105.2 ± 10.7
		36.2 ± 5.5	98.9 ± 10.3	103.0 ± 8.2
		(p = 0.002)	(p = 0.002)	(p = 0.113)
Salamun et al.²⁸	Metformin (1000 mg BID)	35.5 ± 4.9	99.6 ± 17.8	108.8 ± 14.5		779.4 ± 247.3	−7.0 ± 6.0 versus −7.5 ± 3.9
	Metformin (1000 mg BID)	33.0 ± 3.3	92.6 ± 18.0	97.5 ± 11.0		698.1 ± 292.8
	Metformin (1000 mg) BID + liraglutide (1.8 mg)	37.8 ± 3.0	106.6 ± 11.7	114.5 ± 9.9		833.4 ± 233.9
		35.1 ± 3.5	99.1 ± 13.0	102.8 ± 9.3		692.0 ± 182.6
		(p < 0.001)	(p = 0.001)	(p = 0.001)		(p = 0.02)

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For p values: T: overall effect with both therapies; I: interaction between therapy and time; NS: not significant; BMI: body mass index; WC: waist circumference; BID: twice a day; TID: 3 times daily.

In all these studies, results were comparable for the reduction in body mass index (BMI), waist circumference (WC), fat mass, and visceral fat mass. One study showed that WC reduced by 4.63 ± 4.4 cm (combination group) versus 1.72 ± 3.07 cm (metformin-only group).²² On the contrary, Jensterle et al.²⁷ showed that WC in the liraglutide group exhibited a greater reduction compared with the combination group. Four studies showed weight reduction in nearly 5%. It was seen in 59.1% in the combination group (liraglutide and metformin) versus 42.9% of patients in the liraglutide-only group.²³ It was also seen in about 69.2% in combination group (liraglutide and metformin) versus 57.1% metformin-only group.²⁸ One study showed similar achievement in 55% and 14% of participants in the liraglutide and placebo groups, respectively.²⁶ In addition, 47% of patients achieved more than 5% weight loss with exenatide therapy within the initial 12 weeks, contrasting with the metformin group where a similar weight loss was not observed. Notably, the reduction in WC was more pronounced in patients treated with exenatide compared with those on metformin.²⁵

Table 3 summarizes the endocrine parameters in women with PCOS. Five studies showed the reduction in total testosterone (TT) with improvement in Sex Hormone Binding Globulin (SHBG) levels. This was more with GLP-1 RA versus comparator. Three studies looked at menstrual cycle frequency, and two of these studies showed improvement.

Table 3.

Endocrine parameters.

Author	Intervention	LH (IU/L) Before/after treatment	FSH (IU/L) Before/after treatment	SHBG (nmol/L) Before/after treatment	TT (nmol/L) Before/after treatment	Androstenedione (nmol/L) Before/after treatment	Menstrual cycles (No. of year) Before/after treatment
Jensterle et al.²¹	Liraglutide (1.2 mg)	5.1 ± 4.4	4.6 ± 1.6	30.3 ± 14.5	2.1 ± 1		5.4 ± 4.8
	Liraglutide (1.2 mg)	8.9 ± 5.8	5.2 ± 1.8	31.6 ± 12.4	2 ± 1.1		5.4 ± 4
	Metformin (1000 mg BID)	7.5 ± 4.1	5.4 ± 2.2	24 ± 12	3 ± 0.9		6.7 ± 4.8
		5.6 ± 2.9	4.1 ± 2	26.2 ± 14.3	2.1 ± 0.9		8.9 ± 4.8
		(T = 0.001, I < 0.001)	(T = NS, I = 0.03)	NS	(T = NS, I < 0.001)		NS
Ma et al.²²	Metformin (500 mg TID) + exenatide (2 mg)				0.74 ± 0.29
					0.57 ± 0.25
					(p < 0.001)
	Metformin (500 mg TID)				0.78 ± 0.22
					0.56 ± 0.20
					(p = 0.003)
Jensterle et al.²³	Metformin (1000 mg BID) + liraglutide (1.2 mg)	6.8 ± 3.2	5.3 ± 2.0	26.5 ± 13.7	2.0 ± 0.9	10.8 ± 3.4
		6.8 ± 5.9	5.2 ± 2.5	34.6 ± 17.2	1.6 ± 0.6	8.5 ± 3.0
		(p = 0.375)	(p = 0.945)	(p < 0.001)	(p = 0.037)	(p = 0.003)
	Liraglutide (1.2 mg)	7.4 ± 4.3	5.1 ± 2.0	31 ± 13.9	1.8 ± 0.8	9.0 ± 2.2
		7.8 ± 4.8	5.5 ± 1.9	34 ± 16	1.5 ± 0.8	8.9 ± 3.5
		(p = 0.715)	(p = 0.614)	(p = 0.014)	(p = 0.161)	(p = 0.917)
Elkind-Hirsch et al.²⁴	Liraglutide (3 mg)				49 ± 2.9 ng/dL		4.5 ± 0.3
	Liraglutide (3 mg)				45.4 ± 3.0 ng/dL		8.65 ± 0.4
	Placebo				45 ± 3.3 ng/dL		4.8 ± 0.5
					46.8 ± 4.1 ng/dL		4.8 ± 0.7
					(p = 0.16)		(p = 0.0001)
Liu et al.²⁵	Exenatide (10 µg)			30.42 ± 18.45	1.99 ± 0.50		0.28 ± 0.092
	Exenatide (10 µg)			37.65 ± 18.25	1.88 ± 0.51		0.90 ± 0.13
	Metformin (1000 mg BID)			31.84 ± 18.20	2.01 ± 0.64		0.31 ± 0.037
				37.90 ± 16.86	1.98 ± 0.58		0.68 ± 0.03
				NS	NS		(I < 0.001)
Frøssing et al.²⁶	Liraglutide (1.8 mg) Change at follow-up
	Liraglutide (1.8 mg) Change at follow-up
	Placebo/Change at follow-up


Jensterle et al.²⁷	Liraglutide (3 mg)			39.6 ± 41.4	1.3 ± 0.7	7.0 ± 3.7
				46.9 ± 54.5	1.2 ± 0.5	7.7 ± 3.4
				(p = 0.018)	(p = 0.065)	(p = 0.451)
	Liraglutide (1.8 mg) + metformin (1000 mg BID)			27.7 ± 21.1	1.8 ± 0.9	10.6 ± 6.4
				47.2 ± 90.4	1.5 ± 0.8	8.6 ± 3.5
				(p = 0.43)	(p = 0.023)	(p = 0.53)
Salamun et al.²⁸	Metformin (1000 mg BID)			32.0 ± 2.0	1.6 ± 0.7	9.1 ± 2.1
	Metformin (1000 mg BID)			36.0 ± 13.4	1.3 ± 0.5	8.8 ± 3.1
	Metformin (1000 mg BID) + liraglutide (1.8 mg)			24.8 ± 14.0	1.7 ± 0.6	9.6 ± 2.8
				35.7 ± 19.8	1.5 ± 0.6	9.9 ± 3.6
				p = 0.003	NS	NS

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For p values: T: overall effect with both therapies; I: interaction between therapy and time; NS: not significant; BID: twice a day; TID: 3 times daily.

Information on the metabolic effects evaluating the impact of GLP-1 RA on different metabolites in women with PCOS is summarized in Table 4. Out of eight studies, seven studies showed the reduction in Homeostatic Model Assessment for Insulin Resistance (HOMA-IR)-a measure of insulin resistance with GLP-1 RA either alone or in combination versus its comparator and it reached statistical significance in four of them. Frøssing et al.’s study was the only study that didn’t show any discernible difference between treatment groups were observed concerning markers of insulin resistance. Fasting total, High density Lipoprotein (HDL) and Low density Lipoprotein (LDL) cholesterol, and triglycerides (TG) did not change much in these studies.

Table 4.

Metabolic outcomes.

Author	Intervention	HOMA-IR Before/after treatment	Cholesterol (mmol/L) Before/after treatment	Triglyceride (mmol/L) Before/after treatment	LDL-C (mmol/L) Before/After treatment	HDL-C (mmol/L) Before/after treatment
Jensterle et al.²¹	Liraglutide (1.2 mg)	4 ± 4	4.8 ± 1	1.6 ± 0.7	3.2 ± 0.8	1.1 ± 0.3
	Liraglutide (1.2 mg)	3.9 ± 2.1	4.7 ± 1	1.4 ± 0.6	2.9 ± 0.8	1.2 ± 0.3
	Metformin (1000 mg BID)	2.7 ± 1.7	4.6 ± 0.9	1.4 ± 0.6	2.9 ± 0.8	1.1 ± 0.2
		2.8 ± 1.4	4.3 ± 0.5	1.3 ± 0.6	2.9 ± 0.8	1.2 ± 0.3
		NS	NS	NS	NS
Ma et al.²²	Metformin (500 mg TID) + exenatide (2 mg)	5.29 (3.64–7.77)	4.94 ± 0.78	1.30 (0.92–2.2)	3.22 ± 0.61	1.19 ± 0.24
		4.70 (4.20–6.21)	5.13 ± 0.99	2.0 (1.59–3.2)	2.98 ± 0.83	1.44 ± 0.34
		(p = 0.212)	(p = 0.356)	(p = 0.005)	(p = 0.064)	(p < 0.001)
	Metformin (500 mg TID)	4.49(3.93–5.43)	5.15 ± 0.87	1.70 (1.22–2.97)	3.38 ± 0.71	1.14 ± 0.22
		4.80 (3.47–6.39)	5.64 ± 0.88	2.46 (1.56–3.61)	3.37 ± 0.78	1.45 ± 0.36
		(p = 0.414)	(p = 0.007)	(p = 0.027)	(p = 0.97)	(p < 0.001)
Jensterle et al.²³	Metformin (1000 mg BID) + liraglutide (1.2 mg)	4.1 ± 2.9
		3.7 ± 2.7
		(p = 0.205)
	Liraglutide (1.2 mg)	3.6 ± 3.2
		2.5 ± 2.0
		(p = 0.052)
Elkind-Hirsch et al.²⁴	Liraglutide (3 mg)	4.8 ± 0.6	181 ± 4.9 mg/dL	131 ± 1 mg/dL	113.5 ± 4.5 mg/dL	42.5 ± 17 mg/dL
	Liraglutide (3 mg)	4.1 ± 0.6	176 ± 5.3 mg/dL	109 ± 7.7 mg/dL	113.4 ± 5 mg/dL	41 ± 1.8 mg/dL
	Placebo	5.1 ± 1.0	183 ± 8.7 mg/dL	117 ± 12 mg/dL	117.7 ± 7.2 mg/dL	42.2 ± 1.5 mg/dL
		5.2 ± 1.1	178 ± 8.8 mg/dL	114 ± 11 mg/dL	112.4 ± 8.2 mg/dL	42 ± 2.3 mg/dL
		(p = 0.05)	(p = 0.98)	(p = 0.016)	(p = 0.35)	(p = 0.56)
Liu et al.²⁵	Exenatide (10 µg)	4.21 ± 1.89	4.78 ± 1.02	1.87 ± 0.77	2.88 ± 1.15	1.43 ± 0.55
	Exenatide (10 µg)	2.92 ± 1.31	4.70 ± 0.86	1.78 ± 0.81	2.79 ± 0.97	1.32 ± 0.33
	Metformin (1000 mg BID)	3.89 ± 1.12	4.78 ± 1.19	1.63 ± 0.47	2.70 ± 0.87	1.49 ± 0.27
		3.30 ± 1.00	4.62 ± 0.89	1.34 ± 0.43	2.69 ± 0.83	1.35 ± 0.23
		(I = 0.003)	NS	NS	NS	NS
Frøssing et al.²⁶	Liraglutide (1.8 mg)	2.29 (1.83–2.84)	4.61 ± 0.80	1.23 (0.9–1.63)	2.83 ± 0.71	1.14 ± 0.25
	Change at follow-up	−0.27 ± 0.15	0.03 ± 0.09	−0.22 (−0.36 to −0.09)	0.14 ± 0.09	−0.01 ± 0.02
	Placebo/Change at follow-up	2.42 (1.91–3.20)	4.67 ± 0.57	1.15 (0.9–1.47)	2.99 ± 0.54	1.09 ± 0.28
		−0.28 ± 0.2	0.08 ± 0.09	−0.11 (−0.37 to 0.14)	0.13 ± 0.09	0.01 ± 0.03
		(p = 0.48)	(p = 0.35)	(p = 0.32)	(p = 0.92)	(p = 0.77)
Jensterle et al.²⁷	Liraglutide (3 mg)	5.1 ± 2.9	4.8 ± 0.8	1.5 ± 0.7	2.9 ± 0.8	1.3 ± 0.3
		4.4 ± 2.4	4.8 ± 0.8	1.6 ± 0.6	3.0 ± 0.7	1.2 ± 0.3
		(p = 0.272)	(p = 0.875)	(p = 0.727)	(p = 0.928)	(p = 0.194)
	Liraglutide (1.8 mg) + metformin (1000 mg BID)	5.9 ± 4.3	4.9 ± 1.1	1.4 ± 0.7	3.0 ± 0.9	1.3 ± 0.1
		3.7 ± 3.0	4.5 ± 1.0	1.2 ± 0.5	2.7 ± 0.9	1.3 ± 0.2
		(p = 0.013)	(p = 0.107)	(p = 0.075)	(p = 0.049)	(p = 0.627)
Salamun et al.²⁸	Metformin (1000 mg BID)	3.9 ± 2.6
	Metformin (1000 mg BID)	3.2 ± 2.3
	Metformin (1000 mg BID) + liraglutide (1.8 mg)	4.8 ± 2.6
		3.8 ± 2.8
		p = 0.04

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BID: twice a day; NS: not significant; TID: 3 times daily; BID: twice a day.

Discussion

The systematic review identified 8 RCTs or CCTs encompassing 486 overweight/obese women with PCOS. These trials evaluated the impact of GLP-1 RA alone or in combination with metformin on anthropometrics, and metabolic and endocrine parameters. In all these studies, with mean follow-up of 12–32 weeks’ duration, results were comparable for reduction in BMI, WC, fat mass, and visceral fat mass. Hence, liraglutide was more effective in decreasing body weight, BMI, and WC than metformin, indicating the potential superiority of GLP-1 RAs, particularly liraglutide, over metformin in these specific physical parameters.²¹ Jensterle et al.²¹ showed weight loss of 3 kg versus 2.3 kg with liraglutide compared with metformin. Frossing et al.²⁶ compared liraglutide (3 mg) with placebo and showed weight loss of 5.2 kg versus 0.2 kg with 4.1 cm versus 1.1 cm reduction in WC. Elkind Hirch et al.²⁴ showed the reduction in 5.7 kg versus 3.8 kg comparing liraglutide (3 mg) versus placebo. Another study comparing exenatide to metformin found that both treatments resulted in weight loss, but exenatide significantly affected body weight and BMI. About 47% of patients in exenatide group lost >5% of their initial body weight and body mass compared with the metformin group.²⁵

Combination therapy of metformin and liraglutide was shown to be more effective. Jensterle et al.²³ showed that combining liraglutide (1.2 mg) and metformin versus liraglutide (1.2 mg) only gave significantly more weight loss (6.2 kg versus 3.5 kg) and reduction in WC (p ⩽ 0.001). Another trial by same author showed that liraglutide (3 mg/day) was more effective in reducing BMI and WC.²⁷ On the contrary, Salamun et al.²⁸ demonstrated reduction in weight, BMI, and WC in both arms.

Two studies showed that weight loss of more than 5% was seen in liraglutide and metformin versus liraglutide-only group,²³ and also with combination group (liraglutide and metformin) versus metformin-only group.²⁸

Frossing et al.²⁶ showed similar achievement in 55% and 14% of patients in the liraglutide and placebo arms, respectively.

Overall, several studies demonstrated that a combination of GLP-1 RA and metformin has superior effects on weight loss. This is probably due to each treatment’s complementary mechanism of action, with GLP-1 RA promoting satiety, decreased food intake, and weight loss.¹⁷ At the same time, metformin enhances insulin sensitivity and reduces hepatic glucose uptake.¹⁴ For example, a study by Liu et al. reported that the combination treatment resulted in significantly more extensive weight loss than liraglutide alone (6.2 kg versus 3.8 kg).²⁵

In addition to weight loss and the other anthropometric changes, GLP-1 RA and metformin were evaluated regarding endocrine and metabolic parameters of PCOS. Several studies showed that GLP-1 RA had a superior effect on metformin in improving lipid profile, blood pressure, and insulin sensitivity in women diagnosed with PCOS and obesity or overweight. Jensterle et al.²³ showed that HOMA IR reduced in both arms but liraglutide (1.2 mg) was superior to combination therapy. In 2021, Ma et al.²² showed significant reduction in TG and improvement in HDL.

Different studies noted varying effects of GLP-1 RA and metformin monotherapies on LH, TT, FSH, SHBG levels, and menstrual cyclicity while some studies indicated the superiority of metformin to GLP-1 RA, other trials have found that a combination treatment has a neutral effect. Jensterle et al.²³ compared combination treatment of metformin and 1.2 mg liraglutide versus 1.2 mg liraglutide showed improvement in SHBG and reduction in TT with combination therapy. Elkind-Hirsch et al.²⁴ showed that liraglutide (3 mg) improved the menstrual cyclicity and reduction in TT. In contrast, a study by Liu et al.²⁵ showed that exenatide and metformin both enhanced the level of TT with no significant difference; however, exenatide was found to be more effective than metformin in terms of improving menstrual cyclicity, pregnancy rate, and the level of High-sensitive C-reactive protein (HsCRP). Three studies investigated the use of combined treatment with GLP-1 RA and metformin; results showed that a combined treatment had a promising effect on metabolic and endocrine parameters compared with the individual administration of either medication.

The strength of this systematic review is that it is a comprehensive review including all studies that focused on anthropometrics, endocrine, and metabolic parameters as outcomes in patients with PCOS. The primary limitation lies in the selection of studies with short duration of follow-up and the number of participants in the studies. Another limitation is that all studies didn’t include all the anthropometrics, and endocrine and metabolic parameters.

Conclusion

GLP-1 RA and metformin have emerged as a promising intervention for PCOS, with ongoing database surrounding their comparative effectiveness. Several studies highlighted the potential superiority of GLP-1 RAs, particularly liraglutide, over metformin in reducing body weight, BMI, and WCs. These physical improvements indicate a potential impact for GLP-1 RAs in managing the metabolic outcomes of PCOS. Given that insulin resistance stands as the primary driver for metabolic and endocrine dysfunction in PCOS, the therapeutic advantages of GLP-1 agonist therapy in this population appear logical.

Although the primary effect of GLP-1 is not to stimulate insulin secretion, these agonists may indirectly enhance insulin sensitivity through their weight-reducing effects. This dual mechanism of action positions GLP-1 RAs as potentially advantageous in tackling the intricate interplay of factors contributing to PCOS. By not only addressing physical metrics but also potentially influencing insulin sensitivity, GLP-1 RAs present a multifaceted approach to managing the complexities of PCOS. On the contrary, several articles revealed that the combination treatment of GLP-1 RA and metformin has demonstrated promising results enhancing metabolic and endocrine parameters compared with monotherapy. In conclusion, GLP-1 RAs, especially liraglutide, exhibit potential superiority over metformin in addressing physical and metabolic aspects of PCOS. However, further research is needed to determine the optimal treatment approach and ultimately discover the long-term safety of combined therapy in women with PCOS and obesity.

Supplemental Material

sj-docx-1-whe-10.1177_17455057241234530 – Supplemental material for A systematic review of GLP-1 on anthropometrics, metabolic and endocrine parameters in patients with PCOS

sj-docx-1-whe-10.1177_17455057241234530.docx^{(31.6KB, docx)}

Supplemental material, sj-docx-1-whe-10.1177_17455057241234530 for A systematic review of GLP-1 on anthropometrics, metabolic and endocrine parameters in patients with PCOS by Salwa Bader, Rahila Bhatti, Bashair Mussa and Salah Abusanana in Women’s Health

Acknowledgments

Not applicable.

Footnotes

ORCID iDs: Salwa Bader Inline graphic https://orcid.org/0009-0005-2836-1160

Rahila Bhatti Inline graphic https://orcid.org/0000-0002-0199-8314

Bashair Mussa Inline graphic https://orcid.org/0000-0002-1554-6319

Supplemental material: Supplemental material for this article is available online.

Declarations

Ethics approval and consent to participate: Not applicable.

Consent for publication: Not applicable.

Author contribution(s): Salwa Bader: Conceptualization; Data curation; Investigation; Methodology; Project administration; Resources; Writing—original draft.

Rahila Bhatti: Conceptualization; Formal analysis; Methodology; Supervision; Writing—original draft; Writing—review & editing.

Bashair Mussa: Methodology; Supervision; Writing—review & editing.

Salah Abusanana: Conceptualization; Methodology; Supervision; Writing—review & editing.

Funding: The author(s) received no financial support for the research, authorship, and/or publication of this article.

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Availability of data and materials: All studies included in systematic review are available.

References

1. Xing C, Zhao H, Zhang J, et al. Effect of metformin versus metformin plus liraglutide on gonadal and metabolic profiles in overweight patients with polycystic ovary syndrome. Front Endocrinol (Lausanne) 2022; 13: 945609. [DOI] [PMC free article] [PubMed] [Google Scholar]
2. Azziz R. Polycystic ovary syndrome. Obstet Gynecol 2018; 132(2): 321–336. [DOI] [PubMed] [Google Scholar]
3. Abdalla MA, Deshmukh H, Atkin S, et al. The potential role of incretin-based therapies for polycystic ovary syndrome: a narrative review of the current evidence. Ther Adv Endocrinol Metab 2021; 12: 2042018821989238. [DOI] [PMC free article] [PubMed] [Google Scholar]
4. Niafar M, Pourafkari L, Porhomayon J, et al. A systematic review of GLP-1 agonists on the metabolic syndrome in women with polycystic ovaries. Arch Gynecol Obstet 2016; 293(3): 509–515. [DOI] [PubMed] [Google Scholar]
5. Azziz R, Carmina E, Chen Z, et al. Polycystic ovary syndrome. Nat Rev Dis Primers 2016; 2: 16057. [DOI] [PubMed] [Google Scholar]
6. Azziz R. Controversy in clinical endocrinology: diagnosis of polycystic ovarian syndrome: the Rotterdam criteria are premature. J Clin Endocrinol Metab 2006; 91(3): 781–785. [DOI] [PubMed] [Google Scholar]
7. Azziz R, Carmina E, Dewailly D, et al. Positions statement: criteria for defining polycystic ovary syndrome as a predominantly hyperandrogenic syndrome: an Androgen Excess Society guideline. J Clin Endocrinol Metab 2006; 91(11): 4237–4245. [DOI] [PubMed] [Google Scholar]
8. Teede HJ, Misso ML, Costello MF, et al. Recommendations from the international evidence-based guideline for the assessment and management of polycystic ovary syndrome. Fertil Steril 2018; 110(3): 364–379. [DOI] [PMC free article] [PubMed] [Google Scholar]
9. Ma R, Ding X, Wang Y, et al. The therapeutic effects of glucagon-like peptide-1 receptor agonists and metformin on polycystic ovary syndrome: a protocol for systematic review and meta-analysis. Medicine (Baltimore) 2021; 100(23): e26295. [DOI] [PMC free article] [PubMed] [Google Scholar]
10. Moran LJ, Hutchison SK, Norman RJ, et al. Lifestyle changes in women with polycystic ovary syndrome. Cochrane Database Syst Rev 2011; 2: CD007506. [DOI] [PubMed] [Google Scholar]
11. Moran LJ, Noakes M, Clifton PM, et al. Short-term meal replacements followed by dietary macronutrient restriction enhance weight loss in polycystic ovary syndrome. Am J Clin Nutr 2006; 84(1): 77–87. [DOI] [PubMed] [Google Scholar]
12. Legro RS, Dodson WC, Kris-Etherton PM, et al. Randomized controlled trial of preconception interventions in infertile women with polycystic ovary syndrome. J Clin Endocrinol Metab 2015; 100(11): 4048–4058. [DOI] [PMC free article] [PubMed] [Google Scholar]
13. Glueck CJ, Goldenberg N. Characteristics of obesity in polycystic ovary syndrome: etiology, treatment, and genetics. Metabolism 2019; 92: 108–120. [DOI] [PubMed] [Google Scholar]
14. Dumitrescu R, Mehedintu C, Briceag I, et al. Metformin-clinical pharmacology in PCOs. J Med Life 2015; 8(2): 187–192. [PMC free article] [PubMed] [Google Scholar]
15. Essah PA, Arrowood JA, Cheang KI, et al. Effect of combined metformin and oral contraceptive therapy on metabolic factors and endothelial function in overweight and obese women with polycystic ovary syndrome. Fertil Steril 2011; 96(2): 501–504. [DOI] [PMC free article] [PubMed] [Google Scholar]
16. Panidis D, Tziomalos K, Papadakis E, et al. The guidelines issued by the European Society for Human Reproduction and Embryology and the American Society for Reproductive Medicine regarding the induction of ovulation with metformin in patients with the polycystic ovary syndrome potentially require reconsideration. Hormones (Athens) 2013; 12(2): 192–200. [DOI] [PubMed] [Google Scholar]
17. Boer GA, Holst JJ. Incretin hormones and type 2 diabetes-mechanistic insights and therapeutic approaches. Biology (Basel) 2020; 9(12): 473. [DOI] [PMC free article] [PubMed] [Google Scholar]
18. Cena H, Chiovato L, Nappi RE. Obesity, polycystic ovary syndrome, and infertility: a new avenue for GLP-1 receptor agonists. J Clin Endocrinol Metab 2020; 105(8): e2695–e2709. [DOI] [PMC free article] [PubMed] [Google Scholar]
19. Andreasen CR, Andersen A, Knop FK, et al. How glucagon-like peptide 1 receptor agonists work. Endocr Connect 2021; 10(7): R200–R212. [DOI] [PMC free article] [PubMed] [Google Scholar]
20. Rameshrad M, Razavi BM, Lalau JD, et al. An overview of glucagon-like peptide-1 receptor agonists for the treatment of metabolic syndrome: a drug repositioning. Iran J Basic Med Sci 2020; 23(5): 556–568. [DOI] [PMC free article] [PubMed] [Google Scholar]
21. Jensterle M, Kravos NA, Pfeifer M, et al. A 12-week treatment with the long-acting glucagon-like peptide 1 receptor agonist liraglutide leads to significant weight loss in a subset of obese women with newly diagnosed polycystic ovary syndrome. Hormones (Athens) 2015; 14(1): 81–90. [DOI] [PubMed] [Google Scholar]
22. Ma RL, Deng Y, Wang YF, et al. Short-term combined treatment with exenatide and metformin for overweight/obese women with polycystic ovary syndrome. Chin Med J (England) 2021; 134(23): 2882–2889. [DOI] [PMC free article] [PubMed] [Google Scholar]
23. Jensterle M, Goricar K, Janez A. Metformin as an initial adjunct to low-dose liraglutide enhances the weight-decreasing potential of liraglutide in obese polycystic ovary syndrome: randomized control study. Exp Ther Med 2016; 11(4): 1194–1200. [DOI] [PMC free article] [PubMed] [Google Scholar]
24. Elkind-Hirsch KE, Chappell N, Shaler D, et al. Liraglutide 3 mg on weight, body composition, and hormonal and metabolic parameters in women with obesity and polycystic ovary syndrome: a randomized placebo-controlled-phase 3 study. Fertil Steril 2022; 118(2): 371–381. [DOI] [PubMed] [Google Scholar]
25. Liu X, Zhang Y, Zheng SY, et al. Efficacy of exenatide on weight loss, metabolic parameters and pregnancy in overweight/obese polycystic ovary syndrome. Clin Endocrinol (Oxford) 2017; 87(6): 767–774. [DOI] [PubMed] [Google Scholar]
26. Frøssing S, Nylander M, Kistorp C, et al. Effect of liraglutide on atrial natriuretic peptide, adrenomedullin, and copeptin in PCOS. Endocr Connect 2018; 7(1): 115–123. [DOI] [PMC free article] [PubMed] [Google Scholar]
27. Jensterle M, Kravos NA, Goričar K, et al. Short-term effectiveness of low dose liraglutide in combination with metformin versus high dose liraglutide alone in treatment of obese PCOS: randomized trial. BMC Endocr Disord 2017; 17(1): 5. [DOI] [PMC free article] [PubMed] [Google Scholar]
28. Salamun V, Jensterle M, Janez A, et al. Liraglutide increases IVF pregnancy rates in obese PCOS women with poor response to first-line reproductive treatments: a pilot randomized study. Eur J Endocrinol 2018; 179(1): 1–11. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

sj-docx-1-whe-10.1177_17455057241234530 – Supplemental material for A systematic review of GLP-1 on anthropometrics, metabolic and endocrine parameters in patients with PCOS

sj-docx-1-whe-10.1177_17455057241234530.docx^{(31.6KB, docx)}

[bibr1-17455057241234530] 1. Xing C, Zhao H, Zhang J, et al. Effect of metformin versus metformin plus liraglutide on gonadal and metabolic profiles in overweight patients with polycystic ovary syndrome. Front Endocrinol (Lausanne) 2022; 13: 945609. [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr2-17455057241234530] 2. Azziz R. Polycystic ovary syndrome. Obstet Gynecol 2018; 132(2): 321–336. [DOI] [PubMed] [Google Scholar]

[bibr3-17455057241234530] 3. Abdalla MA, Deshmukh H, Atkin S, et al. The potential role of incretin-based therapies for polycystic ovary syndrome: a narrative review of the current evidence. Ther Adv Endocrinol Metab 2021; 12: 2042018821989238. [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr4-17455057241234530] 4. Niafar M, Pourafkari L, Porhomayon J, et al. A systematic review of GLP-1 agonists on the metabolic syndrome in women with polycystic ovaries. Arch Gynecol Obstet 2016; 293(3): 509–515. [DOI] [PubMed] [Google Scholar]

[bibr5-17455057241234530] 5. Azziz R, Carmina E, Chen Z, et al. Polycystic ovary syndrome. Nat Rev Dis Primers 2016; 2: 16057. [DOI] [PubMed] [Google Scholar]

[bibr6-17455057241234530] 6. Azziz R. Controversy in clinical endocrinology: diagnosis of polycystic ovarian syndrome: the Rotterdam criteria are premature. J Clin Endocrinol Metab 2006; 91(3): 781–785. [DOI] [PubMed] [Google Scholar]

[bibr7-17455057241234530] 7. Azziz R, Carmina E, Dewailly D, et al. Positions statement: criteria for defining polycystic ovary syndrome as a predominantly hyperandrogenic syndrome: an Androgen Excess Society guideline. J Clin Endocrinol Metab 2006; 91(11): 4237–4245. [DOI] [PubMed] [Google Scholar]

[bibr8-17455057241234530] 8. Teede HJ, Misso ML, Costello MF, et al. Recommendations from the international evidence-based guideline for the assessment and management of polycystic ovary syndrome. Fertil Steril 2018; 110(3): 364–379. [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr9-17455057241234530] 9. Ma R, Ding X, Wang Y, et al. The therapeutic effects of glucagon-like peptide-1 receptor agonists and metformin on polycystic ovary syndrome: a protocol for systematic review and meta-analysis. Medicine (Baltimore) 2021; 100(23): e26295. [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr10-17455057241234530] 10. Moran LJ, Hutchison SK, Norman RJ, et al. Lifestyle changes in women with polycystic ovary syndrome. Cochrane Database Syst Rev 2011; 2: CD007506. [DOI] [PubMed] [Google Scholar]

[bibr11-17455057241234530] 11. Moran LJ, Noakes M, Clifton PM, et al. Short-term meal replacements followed by dietary macronutrient restriction enhance weight loss in polycystic ovary syndrome. Am J Clin Nutr 2006; 84(1): 77–87. [DOI] [PubMed] [Google Scholar]

[bibr12-17455057241234530] 12. Legro RS, Dodson WC, Kris-Etherton PM, et al. Randomized controlled trial of preconception interventions in infertile women with polycystic ovary syndrome. J Clin Endocrinol Metab 2015; 100(11): 4048–4058. [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr13-17455057241234530] 13. Glueck CJ, Goldenberg N. Characteristics of obesity in polycystic ovary syndrome: etiology, treatment, and genetics. Metabolism 2019; 92: 108–120. [DOI] [PubMed] [Google Scholar]

[bibr14-17455057241234530] 14. Dumitrescu R, Mehedintu C, Briceag I, et al. Metformin-clinical pharmacology in PCOs. J Med Life 2015; 8(2): 187–192. [PMC free article] [PubMed] [Google Scholar]

[bibr15-17455057241234530] 15. Essah PA, Arrowood JA, Cheang KI, et al. Effect of combined metformin and oral contraceptive therapy on metabolic factors and endothelial function in overweight and obese women with polycystic ovary syndrome. Fertil Steril 2011; 96(2): 501–504. [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr16-17455057241234530] 16. Panidis D, Tziomalos K, Papadakis E, et al. The guidelines issued by the European Society for Human Reproduction and Embryology and the American Society for Reproductive Medicine regarding the induction of ovulation with metformin in patients with the polycystic ovary syndrome potentially require reconsideration. Hormones (Athens) 2013; 12(2): 192–200. [DOI] [PubMed] [Google Scholar]

[bibr17-17455057241234530] 17. Boer GA, Holst JJ. Incretin hormones and type 2 diabetes-mechanistic insights and therapeutic approaches. Biology (Basel) 2020; 9(12): 473. [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr18-17455057241234530] 18. Cena H, Chiovato L, Nappi RE. Obesity, polycystic ovary syndrome, and infertility: a new avenue for GLP-1 receptor agonists. J Clin Endocrinol Metab 2020; 105(8): e2695–e2709. [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr19-17455057241234530] 19. Andreasen CR, Andersen A, Knop FK, et al. How glucagon-like peptide 1 receptor agonists work. Endocr Connect 2021; 10(7): R200–R212. [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr20-17455057241234530] 20. Rameshrad M, Razavi BM, Lalau JD, et al. An overview of glucagon-like peptide-1 receptor agonists for the treatment of metabolic syndrome: a drug repositioning. Iran J Basic Med Sci 2020; 23(5): 556–568. [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr21-17455057241234530] 21. Jensterle M, Kravos NA, Pfeifer M, et al. A 12-week treatment with the long-acting glucagon-like peptide 1 receptor agonist liraglutide leads to significant weight loss in a subset of obese women with newly diagnosed polycystic ovary syndrome. Hormones (Athens) 2015; 14(1): 81–90. [DOI] [PubMed] [Google Scholar]

[bibr22-17455057241234530] 22. Ma RL, Deng Y, Wang YF, et al. Short-term combined treatment with exenatide and metformin for overweight/obese women with polycystic ovary syndrome. Chin Med J (England) 2021; 134(23): 2882–2889. [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr23-17455057241234530] 23. Jensterle M, Goricar K, Janez A. Metformin as an initial adjunct to low-dose liraglutide enhances the weight-decreasing potential of liraglutide in obese polycystic ovary syndrome: randomized control study. Exp Ther Med 2016; 11(4): 1194–1200. [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr24-17455057241234530] 24. Elkind-Hirsch KE, Chappell N, Shaler D, et al. Liraglutide 3 mg on weight, body composition, and hormonal and metabolic parameters in women with obesity and polycystic ovary syndrome: a randomized placebo-controlled-phase 3 study. Fertil Steril 2022; 118(2): 371–381. [DOI] [PubMed] [Google Scholar]

[bibr25-17455057241234530] 25. Liu X, Zhang Y, Zheng SY, et al. Efficacy of exenatide on weight loss, metabolic parameters and pregnancy in overweight/obese polycystic ovary syndrome. Clin Endocrinol (Oxford) 2017; 87(6): 767–774. [DOI] [PubMed] [Google Scholar]

[bibr26-17455057241234530] 26. Frøssing S, Nylander M, Kistorp C, et al. Effect of liraglutide on atrial natriuretic peptide, adrenomedullin, and copeptin in PCOS. Endocr Connect 2018; 7(1): 115–123. [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr27-17455057241234530] 27. Jensterle M, Kravos NA, Goričar K, et al. Short-term effectiveness of low dose liraglutide in combination with metformin versus high dose liraglutide alone in treatment of obese PCOS: randomized trial. BMC Endocr Disord 2017; 17(1): 5. [DOI] [PMC free article] [PubMed] [Google Scholar]

[bibr28-17455057241234530] 28. Salamun V, Jensterle M, Janez A, et al. Liraglutide increases IVF pregnancy rates in obese PCOS women with poor response to first-line reproductive treatments: a pilot randomized study. Eur J Endocrinol 2018; 179(1): 1–11. [DOI] [PubMed] [Google Scholar]

PERMALINK

A systematic review of GLP-1 on anthropometrics, metabolic and endocrine parameters in patients with PCOS

Salwa Bader

Rahila Bhatti

Bashair Mussa

Salah Abusanana

Roles

Abstract

Introduction

Methods

References

Search strategy and databases

Inclusion criteria

Exclusion criteria

Study selection and risk-of-bias assessment

Data analysis

Results

Search results

Figure 1.

Characteristics of included studies

Table 1.

Changes in anthropometrics, and endocrine and metabolic parameters

Table 2.

Table 3.

Table 4.

Discussion

Conclusion

Supplemental Material

Acknowledgments

Footnotes

Declarations

References

Associated Data

Supplementary Materials

ACTIONS

PERMALINK

RESOURCES

Cite

Add to Collections

PERMALINK

A systematic review of GLP-1 on anthropometrics, metabolic and endocrine parameters in patients with PCOS

Salwa Bader

Rahila Bhatti

Bashair Mussa

Salah Abusanana

Roles

Abstract

Introduction

Methods

References

Search strategy and databases

Inclusion criteria

Exclusion criteria

Study selection and risk-of-bias assessment

Data analysis

Results

Search results

Figure 1.

Characteristics of included studies

Table 1.

Changes in anthropometrics, and endocrine and metabolic parameters

Table 2.

Table 3.

Table 4.

Discussion

Conclusion

Supplemental Material

Acknowledgments

Footnotes

Declarations

References

Associated Data

Supplementary Materials

ACTIONS

PERMALINK

RESOURCES

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