Glucagon-Like Peptide-1 Receptor Agonists for Non-Alcoholic Fatty Liver Disease in Type 2 Diabetes: A Meta-Analysis.

Objective: Non-alcoholic fatty liver disease is highly prevalent in patients with type 2 diabetes mellitus. Studies on glucagon-like peptide-1 receptor agonists for the treatment of non-alcoholic fatty liver disease have reported promising results. Despite this, there has been limited evidence of its efficacy in non-alcoholic fatty liver disease patients with type 2 diabetes mellitus. This meta-analysis examined existing evidence on the efficacy of glucagon-like peptide-1 receptor agonists on the management of non-alcoholic fatty liver disease in patients with type 2 diabetes mellitus.
Methods: Medline, Embase and Cochrane Central Register of Controlled Trials (CENTRAL) were searched for articles discussing the efficacy of glucagon-like peptide-1 receptor agonists on non-alcoholic fatty liver disease in patients with type 2 diabetes mellitus. Values of standardized mean differences (SMD) and risk ratio (RR) were determined for continuous outcomes and dichotomous outcomes respectively.
Results: 8 studies involving 1,454 patients from 5 randomized controlled trials and 3 cohort studies were included in the analysis. Our analysis found significant improvements in hepatic fat content, liver biochemistry, body composition, glucose parameters, lipid parameters, insulin sensitivity and inflammatory markers following glucagon-like peptide-1 receptor agonist treatment. Glucagon-like peptide-1 receptor agonists significantly decreased hepatic fat content compared to metformin and insulin-based therapies. Glucagon-like peptide-1 receptor agonists also improved fibrosis markers, but this did not reach statistical significance.
Conclusion: With a high prevalence of obesity and non-alcoholic fatty liver disease among patients with type 2 diabetes mellitus, glucagon-like peptide-1 receptor agonist treatment shows promise in improving both diabetes and non-alcoholic fatty liver disease phenotype.

Introduction

Non-alcoholic fatty liver disease (NAFLD) is a condition characterized by hepatic steatosis and may be categorized into non-alcoholic fatty liver (NAFL) or non-alcoholic steatohepatitis (NASH). The global prevalence rate of NAFLD has been estimated to be 25% (1). The pathogenesis of NAFLD is a complex interplay of genetic, dietary and hormonal factors, with hyperinsulinemia and insulin resistance playing critical roles in NAFLD development (2, 3). NAFLD is a commonly found among patients with type 2 diabetes mellitus (T2DM), affecting as high as 60% of them (4).

T2DM and NAFLD share a bilateral pathogenic relationship. T2DM is a risk factor for the progression of NAFLD and its associated complications (5, 6), such as cirrhosis and hepatocellular carcinoma (7, 8). NAFLD increases the risk of T2DM, with higher risk among those NAFLD patients with advanced fibrosis (5). This mutual relationship would need a treatment that addresses both NAFLD and T2DM. Currently, there is no FDA-approved pharmacological therapy for NAFLD among patients with T2DM. While thiazolidinediones (TZD) have been used to treat patients with NASH (9, 10), there are concerns on its side effects such as weight gain, bone fractures and heart failure (11–13). The use of other pharmaceutical agents such as Sodium-glucose Co-transporter-2 inhibitors (SGLT2i) have also demonstrated a reduction in the hepatic fat content in some studies, however, more clinical trials are still needed to determine the efficacy of SGLT2i on NAFLD, including NASH (14).

Glucagon-like peptide-1 receptor agonists (GLP-1RA) are analogues of GLP-1 and fall under the class of incretin mimetics (15). GLP-1RA potentiate glucose-stimulated insulin secretion and inhibition of glucagon secretion, in addition to their effects on gastric satiety (15). GLP-1RA are one of the few glucose-lowering agents that results in weight loss (15), which have strong associations with improvements of hepatic steatosis (16). Apart from its effects on weight loss, GLP-1RA might play a direct role in improving hepatic steatosis through upregulations of insulin signaling pathways and fatty acid metabolism (17). Studies have shown a decrease in endogenous GLP-1 secretion in patients with NAFLD (18). Thus, the use of GLP-1RA in patients with NAFLD may be beneficial, and this is supported by the recent phase 2 LEAN study which reported histological improvements in steatohepatitis for patients with NASH (19). Recently, the GLP-1RA cardiovascular outcomes trials (CVOTs) have also reported cardiovascular protection among patients with diabetes mellitus, and this offers an attractive treatment option for patients with NAFLD (20). However, existing guidelines have cautioned against the use of GLP-1RA in patients with NAFLD due to limited evidence on its efficacy (16, 21, 22). This meta-analysis thus aims to examine the existing evidence on the efficacy of GLP1-RA in the management of NAFLD in patients with T2DM.

Material and Methods

Search Strategy

This meta-analysis was performed following the guidelines set by the Preferred Reporting Items for Systematic Reviews and Meta-analyses (23). Medline, Embase and Cochrane Central Register of Controlled Trials (CENTRAL) were searched for articles which reported the efficacy of GLP-1RA on NAFLD among patients with T2DM from inception to 21 June 2020. The terms “non-alcoholic fatty liver disease”, “type 2 diabetes mellitus” and “glucagon-like peptide-1” were included in the search strategy. The search strategy is detailed in the .

Eligibility and Selection Criteria

Articles were included if they examined the efficacy of GLP-1RA in the management of patients with T2DM and NAFLD in comparison with other treatment methods. Only original articles were included, while commentaries, editorials and reviews were excluded. The title-abstract sieve and full-text reviews were conducted by two independent authors and discrepancies were resolved through consensus or following discussion with a third independent author.

Data Extraction

Relevant data was extracted by two independent authors onto a predefined template, which contained information relating to the study characteristics (sample size, country of origin and study design), therapeutic regimen of the treatment methods, as well as treatment outcomes (changes in body composition, metabolic parameters, adipokines and inflammatory markers, steatosis markers, fibrosis markers and liver biomarkers). Estimated values of the mean and standard deviation for continuous variables were derived through formulas when they were not provided (24, 25). Blinded checking of the data was performed by an independent third author and disparities were resolved through consensus.

Statistical Analysis and Quality Assessment

Values of standardized mean differences (SMD) were determined for continuous outcomes to account for the different units of analysis (26). Risk ratio (RR) was determined for dichotomous outcomes. The analyses of continuous outcomes were conducted using STATA 16.1, with p<0.05 considered as statistically significant. The Newcastle Ottawa Scale (NOS) and Cochrane’s Risk of Bias (RoB2) tool were used in the quality assessment of cohort studies and randomized controlled trials respectively. The NOS assesses quality across the three domains of selection, comparability and outcome (27), while the RoB2 tool assesses quality across five domains including the randomization process, deviations from intended interventions, missing outcome data, outcome measurements and reporting (28).

Results

Baseline Characteristics

A total of 1,372 articles were obtained from the search strategy following duplicate removal. 93 articles subsequently underwent full-text review, of which 8 studies (29–36), including 5 randomized controlled trials (RCTs), fulfilled our eligibility criteria to be included in the final analysis ( ).

Figure 1

PRISMA flow diagram.

There was a total of 1,454 patients included in our analysis, with all patients being clinically diagnosed with NAFLD and T2DM. This included 669 patients on GLP-1RA, 172 patients on metformin, 119 patients on insulin-based therapies (includes insulin secretagogues and insulin), 63 patients on DPP-4 inhibitors, 20 patients on TZD and 411 patients on conventional diabetic drug therapies (mainly metformin). GLP-1RA treatment comprised of liraglutide and exenatide, and the duration of treatment ranged between 12 to 52 weeks. All studied comparators will be classified under controls in the results. The glycated hemoglobin (HbA1c) ranged between 7.68% to 11.04%. The characteristics of patients are presented in and the quality assessment of included articles are found in for cohort studies and for RCTs.

Table 1

Summary of included articles.

Author, Year	Country	Study Design	GLP-1RA	Comparison	GLP-1RA (n)	Control (n)	Male (%)		Age		BMI (kg/m^2)		HbA1c (%)		Diagnosis Method
			Drug				GLP-1RA	Control	GLP-1RA	Control	GLP-1RA	Control	GLP-1RA	Control
Ohki et al. (29)	Japan	RetrospectiveStudy	Liraglutide	GLP-1RA vs. DPP-4 Inhibitors	26	36	69.23	80.56	56.07 ± 8.96	53.67 ± 16.00	29.67 ± 3.93	28.60 ± 4.59	8.40 ± 1.48	8.47 ± 1.48	Ultrasonography
Ohki et al. (29)	Japan	RetrospectiveStudy	Liraglutide	GLP-1RA vs. TZD	26	20	69.23	70.00	56.07 ± 8.96	52.87 ± 9.85	29.67 ± 3.93	28.30 ± 5.11	8.40 ± 1.48	7.70 ± 1.19	Ultrasonography
Fan et al. (30)	China	RCT	Exenatide	GLP-1RA vs. Metformin	49	68	57.14	55.88	51.02 ± 10.10	54.68 ± 12.14	28.18 ± 1.86	27.61 ± 1.77	8.14 ± 0.51	8.09 ± 0.59	Ultrasonography
Shao et al. (31)	China	RCT	Exenatide	GLP-1RA vs. Insulin-based therapy	30	30	50.00	46.67	43.00 ± 4.10	42.00 ± 3.20	30.59 ± 1.09	30.29 ± 0.95	7.68 ± 0.57	7.59 ± 0.57	Guidelines for Diagnosis and Treatment of NAFLD, published in the Chinese Journal of Hepatology
Feng et al. (32)	China	RCT	Liraglutide	GLP-1RA vs. Insulin-based therapy	29	29	72.41	68.97	46.79 ± 9.69	48.07 ± 12.60	28.12 ± 3.02	27.85 ± 3.02	8.91 ± 1.72	9.03 ± 1.24	Ultrasonography
Feng et al. (32)	China	RCT	Liraglutide	GLP-1RA vs. Metformin	29	29	72.41	65.52	46.79 ± 9.69	46.31 ± 12.33	28.12 ± 3.02	26.82 ± 3.66	8.91 ± 1.72	9.36 ± 1.78	Ultrasonography
Tian et al. (33)	China	ProspectiveStudy	Liraglutide	GLP-1RA vs. Metformin	52	75	59.62	57.33	58.50 ± 7.60	56.40 ± 8.40	28.18 ± 1.86	27.61 ± 1.77	8.14 ± 0.51	8.09 ± 0.59	B-mode Ultrasonic Scanning and according to Guidelines by the Fatty Liver and Alcoholic Liver Disease Group of the Chinese Medical Association in 2010
Zhang et al. (34)	China	RetrospectiveStudy	Liraglutide	GLP-1RA vs. Conventional Drug Therapy	424	411	62.50	63.70	51.27 ± 8.16	52.05 ± 7.84	–	–	11.04 ± 1.08	11.53 ± 0.82	–
Yan et al. (35)	China	RCT	Liraglutide	GLP-1RA vs. DPP-4 Inhibitors	24	27	70.83	77.78	43.10 ± 9.70	45.70 ± 9.20	30.10 ± 3.30	29.70 ± 2.80	7.80 ± 1.40	7.60 ± 0.90	Practice guidelines by the AmericanAssociation for the Study of Liver Diseases, AmericanCollege of Gastroenterology, and the AmericanGastroenterological Association MRI-PDFF
Yan et al. (35)	China	RCT	Liraglutide	GLP-1RA vs. Insulin-based therapy	24	24	70.83	58.33	43.10 ± 9.70	45.6 ± 7.6	30.10 ± 3.30	29.60 ± 3.50	7.80 ± 1.40	7.70 ± 0.90	Practice guidelines by the AmericanAssociation for the Study of Liver Diseases, AmericanCollege of Gastroenterology, and the AmericanGastroenterological Association MRI-PDFF
Liu et al. (36)	China	RCT	Exenatide	GLP-1RA vs. Insulin-based therapy	35	36	54.29	52.78	47.63 ± 10.14	50.56 ± 11.78	28.49 ± 3.02	27.84 ± 3.10	8.32 ± 0.94	8.58 ± 0.91	Proton MRS ([1H] MRS]

BMI, Body Mass Index; HbA1c, Glycated hemoglobin; GLP-1RA, Glucagon-Like Peptide-1 Receptor Agonist; NA, Not Applicable; RCT, Randomized Controlled Trials.

Figure 2

Risk of bias assessment.

Changes in Hepatic Steatosis Markers

Hepatic fat content, which was measured using magnetic resonance spectroscopy (MRS), magnetic resonance imaging proton density fat fraction (MRI-PDFF) and ultrasonography, was significantly reduced after GLP-1RA (SMD: -1.05; CI: -1.62 to -0.48; p<0.001, ), and when compared to controls (SMD: -0.54; CI: -0.79 to -0.29; p<0.001, ), metformin (SMD: -0.63, CI: -1.16 to -0.10; p=0.02) and insulin-based therapies (SMD: -0.66, CI: -0.97 to -0.36; p<0.001) (see ).

Figure 3

Hepatic fat content after GLP-1RA treatment.

Figure 4

Hepatic fat content comparisons between GLP-1RA and controls.

Changes in Hepatic Fibrosis Markers

Information on the effect of GLP-1RA on hepatic fibrosis markers is less complete. Overall, GLP-1RA significantly reduced AST-to-Platelet Ratio Index (APRI) (SMD: -0.68; CI: -1.24 to -0.18; p=0.02), and when compared to DPP-4 inhibitors (SMD: -0.62; CI: -1.14 to -0.10; p=0.02). The AST/ALT ratio was significantly higher after GLP-1RA treatment (SMD: 1.65; CI: 1.33 to 1.97; p<0.001) and when compared to controls (SMD: 1.40; CI: 1.11 to 1.68; p<0.001) or metformin (SMD: 1.40; CI: 1.11 to 1.68; p<0.001) (see ).

Changes in Liver Function Test

GLP-1RA significantly reduced total bilirubin (SMD: -5.83; CI: -7.01 to -4.66; p<0.001), aspartate aminotransferase (AST) (SMD: -1.46; CI: -2.22 to -0.79; p<0.001), alanine aminotransferase (ALT) (SMD: -1.69; CI: -2.32 to -1.07; p<0.001) and gamma-glutamyl transferase (GGT) (SMD: -2.10; CI: -3.16 to -1.04; p<0.001) (See ).

Compared to metformin, GLP-1RA resulted in significant decreases in ALT (SMD: -0.66; CI: -1.24 to -0.08; p=0.03) and GGT (SMD: -1.04; CI: -1.44 to -0.65; p<0.001). GLP-1RA also resulted in significantly lower ALT (SMD: -0.96; CI: -1.79 to -0.14; p=0.02) when compared to insulin-based therapies. On the contrary, TZD was more superior in the improvement in AST, ALT and GGT compared to GLP-1RA.

Changes in Body Composition

GLP-1RA significantly reduced body mass index (BMI) (SMD: -0.98; CI: -1.45 to -0.51; p<0.001, ), waist circumference (SMD: -1.31; CI: -2.47 to -0.15; p=0.03) and hip circumference (SMD: -2.39; CI: -3.06 to -1.73; p<0.001), waist-to-hip ratio (SMD: -0.69; CI: -1.23 to -0.16; p=0.01) and visceral adipose tissue (SMD: -0.57; CI: -0.94 to -0.20; p<0.01) (see ). Compared to controls, GLP-1RA significantly reduced BMI (SMD: -1.01, CI: -1.49 to -0.52; p<0.001), waist circumference (SMD: -1.22; CI: -2.22 to -0.22; p=0.02), hip circumference (SMD: -3.71; CI: -4.55 to -2.87; p<0.001), subcutaneous adipose tissue (SMD: -0.76; CI: -1.21 to -0.32; p<0.01) and visceral adipose tissue (SMD: -0.66; CI: -1.03 to -0.28; p<0.01). GLP-1RA was also more effective in reducing BMI compared to metformin (SMD: -0.58; CI: -0.81 to -0.34; p<0.001), TZD (SMD: -0.92; CI: -1.54 to -0.31; p<0.01), DPP-4 inhibitors (SMD: -0.44; CI: -0.82 to -0.07; p=0.02), or insulin-based therapies (SMD: -1.93; CI: -3.37 to -0.48; p<0.01). Compared to insulin-based therapies, GLP-1RA significantly reduced waist circumference (SMD: -1.84; CI: -3.43 to -0.25; p=0.02), subcutaneous adipose tissue (SMD: -0.90; CI: -1.58 to -0.22; p<0.01) and visceral adipose tissue (SMD: -0.80; CI: -1.19 to -0.41; p<0.001).

Figure 5

BMI after GLP-1RA treatment.

Changes in Metabolic Parameters

GLP-1RA treatment resulted in a significant reduction in fasting glucose (SMD: -2.03; CI: -3.40 to -0.65; p<0.01), 2-hour postprandial glucose (SMD: -2.15; CI: -3.31 to -0.98; p<0.001) and HbA1c levels (SMD: -2.17; CI: -3.39 to -0.94; p<0.01). Compared to controls, GLP-1RA significantly reduced fasting glucose (SMD: -0.20; CI: -0.39 to -0.01; p=0.04), and 2-hour postprandial glucose (SMD: -0.56; CI: -0.75 to -0.38; p<0.001). Fasting glucose was significantly lower with GLP-1RA when compared to other DPP-4 inhibitors (SMD: -0.51; CI: -1.00 to -0.02; p=0.04). Compared to metformin, GLP-1RA had lower 2h-postprandial glucose (SMD: -0.62; CI: -0.85 to -0.38; p<0.001). GLP-1RA treatment also significantly decreased HOMA-IR (SMD: -1.04; CI: -1.35 to -0.73; p<0.001).

GLP-1RA treatment also significantly reduced total cholesterol (SMD: -0.70; CI: -1.38 to -0.02; p=0.04), triglycerides (SMD: -0.84; CI: -1.44 to -0.24; p<0.01, ) and free fatty acid (FFA) levels (SMD: -0.62; CI: -1.10 to -0.14; p=0.01) (see ). GLP-1RA also resulted in significant reduction in systolic blood pressure (SMD: -0.66; CI: -0.96 to -0.35; p<0.001) and diastolic blood pressure (SMD: -0.33; CI: -0.59 to -0.07; p=0.01). Compared to controls, GLP-1RA had significantly lower systolic blood pressure (SMD: -0.25; CI: -0.46 to -0.04; p=0.02).

Figure 6

Triglycerides after GLP-1RA treatment.

Changes in Adipokines and Inflammatory Markers

GLP-1RA treatment significantly increased adiponectin levels (SMD: 0.84; CI: 0.58 to 1.09; p<0.001), and when compared to controls (SMD: 0.75; CI: 0.49 to 1.01; p<0.001), DPP-4 inhibitors (SMD: 0.61; CI: 0.04 to 1.17; p=0.04), insulin-based therapies (SMD: 1.32; CI: 0.69 to 1.95; p<0.001) or metformin (SMD: 0.66; CI: 0.40 to 0.93; p<0.001). GLP-1RA significantly decreased inflammatory biomarkers, cytokeratin-18 (CK-18) (SMD: -1.28; CI: -1.70 to -0.86; p<0.001), interleukin-6 (IL-6) (SMD: -0.74; CI: -1.33 to -0.16; p=0.01) and C-reactive protein (CRP) levels (SMD: -2.02; CI: -2.36 to -1.68; p<0.001) (see ). Compared to controls or metformin, GLP-1RA significantly reduced CRP levels (Controls, SMD: -0.50; CI: -0.76 to -0.24; p<0.001, Metformin, SMD: -0.50; CI: -0.76 to -0.24; p<0.001). Compared to insulin-based therapies, GLP-1RA significantly decreased IL-6 levels (SMD: -0.75; CI: -1.34 to -0.17; p=0.01).

Discussion

This meta-analysis demonstrated that GLP1-RA treatment improved hepatic steatosis, liver function, lipid, glucose, inflammatory and insulin sensitivity markers, which indicates a synergistic treatment approach for patients with T2DM and NAFLD. NAFLD is frequently asymptomatic until late stages of the disease (37), which may lead to a delay in the diagnosis of NAFLD. Upon diagnosis of NAFLD, there are no clear therapeutic guidelines or management recommendations for these patients besides weight loss and dietary recommendations (16, 21). A previous meta-analysis found that GLP1-RA treatment could potentially improve liver histology in NAFLD patients (38). Hence, the results of this meta-analysis add to this knowledge by demonstrating the efficacy of GLP-1RA on improving NAFLD and liver fibrosis in patients with T2DM.

In our analysis, GLP-1RA treatment had favorable outcomes in the improvement of hepatic steatosis, as measured by magnetic resonance spectroscopy, magnetic resonance imaging proton density fat fraction and ultrasonography. GLP-1RA also demonstrated better efficacy in lowering hepatic fat content than metformin or insulin-based therapies. It has been shown that GLP-1RA improve β-cell function, enhances hepatic insulin sensitivity and modulates genes involved in fatty acid oxidation and de novo lipogenesis in the liver (17, 39–42). GLP-1RA may also reduce hepatic fat content through its effect on weight loss (39, 43). Sulfonylureas and insulin treatment are known to be associated with weight gain (44), while GLP-1RA induce weight loss (45), which could explain the advantage of GLP-1RA over insulin-based therapies as treatment for NAFLD.

Weight loss is the cornerstone therapy for NAFLD, and weight management is strongly recommended for all patients with NAFLD (46). The association between weight loss and reduction in hepatic fat and improvement in liver histology is one of the key reasons for the recommendation of weight loss across various guidelines in the management of NAFLD (16, 21, 38, 47, 48). Weight loss has also been significantly associated with enhanced insulin sensitivity (49), which has been demonstrated in our findings with a observed reduction of HOMA-IR and elevation of adiponectin with the use of GLP-1RA. As strong associations have been established between NAFLD, T2DM and insulin resistance (5, 41), the increase in insulin sensitivity with the use of GLP-1RA can have a valuable synergistic effect on improvement of both NAFLD and T2DM. However, the efficacy of weight loss via lifestyle and diet interventions may be limited in the case of poor patient adherence and weight rebound in the long-term (16, 21). In this meta-analysis, GLP-1RA treatment leads to significant improvements in body composition such as reduction in body weight, BMI, waist and hip circumference, which reinforces the advantage of using GLP-1RA as part of the treatment strategy for patients with NAFLD. Of the eight included studies, three assessed changes in hepatic fat content following GLP1-RA treatment, of which all reported correlations between weight loss and decreases in hepatic fat content (32, 35, 36), lending support for the role of weight loss on hepatic steatosis. It has yet to be determined whether GLP-1RA-induced weight loss or the direct effects of GLP-1RA on the hepatocytes plays the major role in the reduction of hepatic steatosis.

The FIB-4 index, NAFLD Fibrosis Score (NFS) and APRI could be used to indicate severity of hepatic fibrosis. These biomarkers have been shown to predict the prognosis of liver fibrosis with varying degrees of sensitivity and specificity (50). This study showed that there was improvement in APRI and FIB-4 index after GLP-1RA treatment, although the changes in FIB-4 index did not reach statistical significance. The mechanism of GLP-1RA on hepatic fibrosis can be attributed partly to the decrease in pro-inflammatory adipokines such as leptin, (monocyte chemoattractant protein-1and resistin, which are associated with the progression to NASH and fibrosis (51). In addition, the LEAN trial also suggested that liraglutide should be started early to prevent progression of NAFLD, and might not be useful in NASH patients with advanced fibrosis (19). Consistent with the improvement in the liver fat content, steatosis and fibrosis biomarkers, we also found that GLP-1RA treatment improved liver function markers such as AST, ALT and GGT. Apart from fibrosis markers and liver function tests, the observed reductions in inflammatory markers such as CRP and CK-18 could be attributed to downregulation of proinflammatory responses and hepatic inflammation (52). Additionally, considering CK-18 as a marker of severity in NASH, GLP-1RA could possibly benefit patients with NASH (53, 54).

Despite the benefits of GLP-1RA on the treatment of NAFLD, we are also cognizant of the adverse effects of GLP-1RA treatment, and in particular, the gastrointestinal side effects such as nausea, vomiting and diarrhea and hypoglycemia. GLP-1RA should be avoided in patients at risk for pancreatitis or with previous history of pancreatitis (55). GLP1-RA are also contraindicated in patients with a personal or family history of medullary thyroid cancer and in patients with Multiple Endocrine Neoplasia syndrome type 2 (MEN 2) as they have been shown to cause thyroid C-cell tumors in rodents (56, 57).

Limitations

There are several limitations in this analysis. The included studies utilized magnetic resonance spectroscopy, magnetic resonance imaging proton density fat fraction and ultrasonography in the assessment and quantification of hepatic steatosis, rather than liver biopsy which is a more accurate reflection of liver histology as defined by regulatory agencies from the United States and Europe and is currently required for phase 2B and phase 3 clinical trials for NAFLD (58, 59). In addition, the criteria for the ultrasonography diagnosis of fatty liver were different for studies included in this meta-analysis. Fan et al. mentioned that the fatty liver was diagnosed based on the criteria of: 1) enlarged liver, together with the increase and intensification in echoes and bright spots, 2) unclear or absent intrahepatic blood vessels and 3) reduced or attenuated deep echoes. Feng et al. however, mentioned that the intrahepatic fat was quantified using a quantitative assessment method and standardized US hepatic/renal ratio and hepatic attenuation rate. While the methodology of ultrasonography may vary, liver ultrasonography generally correlated well with steatosis at liver biopsy, but less so for fibrosis and NASH (60). In addition, the lack of sufficient trials reporting biopsy-proven efficacy of GLP-1RA could be a potential contributing factor for why GLP-1RA have not been recommended as a therapy of choice by the regulatory agencies (16). Despite this, magnetic resonance imaging proton density fat fraction and magnetic resonance spectroscopy technologies have been proven to be accurate substitutions for liver biopsy (61), and can accurately quantify hepatic steatosis. Furthermore, due to the lack of placebo-controlled studies which fit the inclusion criteria, the study did not include placebo-controlled studies. Another limitation in our analysis is that we were unable to account for the duration of NAFLD in patients, which may have influenced treatment response, as reported by the LEAN trial (19). The lack of statistical significance observed in the fibrosis markers could be partially attributed to the insufficient follow-up time, as the long disease progression for liver fibrosis may require longer treatment durations for observations of clinically significant fibrosis reversal (62). Lastly, only four studies reported on adverse events from GLP1-RA treatment. The long-term safety profile of GLP-1RA need to be verified in further studies.

Conclusion

Among patients with T2DM and NAFLD, GLP-1RA treatment improves body composition, glycemic control, insulin sensitivity, and biomarkers of inflammation and hepatic steatosis. The beneficial effects of GLP-1RA on NAFLD is likely to be contributed indirectly by weight loss and directly by its effect on liver hepatocytes and hepatic lipid metabolism. Longer term studies are needed to determine the effects of GLP-1RA on liver fibrosis in patients with NAFLD and T2DM.

Data Availability Statement

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

Author Contributions

CW – literature search, data extraction, data analysis and interpretation, drafting and critical revisions of the manuscript. ML - literature search, data extraction, data analysis and interpretation, drafting and critical revisions of the manuscript. CY – literature search, data extraction, and data analysis and interpretation. YC – data analysis and interpretation, critical revision of article and final approval. XG – drafting of article and critical revision of article. CN – study conception, literature search, methodology, data analysis and interpretation, critical revision of article and final approval. AL – critical revision of the article and final approval. MM – data interpretation, critical revision of the article and final approval. CK – study conception, methodology, data interpretation, critical revision of article and final approval. All authors contributed to the article and approved the submitted version.

Conflict of Interest

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