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. 2026 Oct 1. Online ahead of print. doi: 10.1159/ofa/adzag002

The Effect of Submaximal Doses of Semaglutide on the Expression of Microribonucleic Acid in Patients with Obesity: A Pilot Study

Jakub Jurica a, Zuzana Miertová a, Martin Jozef Péč a, Boris Focko a, Andrej Miert a, Peter Tudík a, Nórbert Nagy a, Ivana Ságová a, Monika Péčová a, Tomáš Bolek a, Peter Galajda a, Miroslava Šarlinová b, Dana Dvorská b, Dušan Braný b, Ivana Baranová c,d, Andrea Kapinová b, Zuzana Danková b,d, Erika Halašová b, Marián Mokáň a, Matej Samoš a,✉,✉
PMCID: PMC13685717  PMID: 42821500

Abstract

Introduction

Glucagon-like peptide 1 receptor agonists (GLP-1RAs) including semaglutide have emerged as some of the most potent drugs in the treatment of obesity. This effect can be mediated by changes in the regulation of microribonucleic acid (miRNA) expression. However, currently, there are no data regarding the effect of GLP-1RA on the expression of miRNA in patients with obesity. The aim of this study was to investigate the effect of semaglutide therapy administered at submaximal doses on changes of miRNA in obese patients.

Methods

This was a pilot, prospective, observational, post-marketing study enrolling 31 adult individuals with obesity treated with semaglutide at submaximal doses. Blood samples were taken prior to and after 6 months of semaglutide administration for plasma miRNA levels. All patients received submaximal doses of semaglutide ranging from 0.25 mg to 1.5 mg once weekly.

Results

We observed a nominally significant increase in the expression of hsa-miR-151b (Homo sapiens microRNA), hsa-miR-223-3p, hsa-miR-27b-3p, hsa-miR-29c-3p, hsa-miR-4284 and a nominally significant decrease in the expression of hsa-miR-1273f, hsa-miR-4644, hsa-miR-6071 after 6 months of semaglutide treatment. However, none of the associations remained significant after FDR correction.

Conclusion

Our study demonstrated a nominally significant change in the expression of 8 miRNAs after the 6-month treatment with submaximal doses of semaglutide in patients with obesity.

Keywords: Obesity, Glucagon-like peptide 1 receptor agonist, Semaglutide, Microribonucleic acid

Introduction

Obesity is considered a chronic metabolic multisystemic disease, with excessive accumulation and/or improper distribution of body fat [1]. Obesity is a multifactorial disease caused by a combination of endogenous (genetic) and exogenous factors such as excessive energy intake and lack of exercise [1]. In clinical practice, it is usually defined by BMI over 30 kg/m2 [2]. The prevalence and incidence of obesity are increasing in both developed and developing countries. In 2022, the World Health Organization (WHO) reported that 890 million (16%) of adults over the age of 18 were obese [2]. The number of obese individuals has more than doubled since 1990, and it is predicted that the prevalence of obesity will continue to grow in the following decade [3]. Overweight and obesity cause nearly 2.8 million deaths worldwide each year while being responsible for 35.8 million (2.3%) of all disability-adjusted life years [4, 5]. Those affected require multidisciplinary treatment including non-pharmacological methods, pharmacotherapy, surgical and endoscopic procedures [1].

Glucagon-like peptide 1 receptor agonists (GLP-1RAs), which were initially developed for the treatment of type 2 diabetes mellitus (T2DM), have been identified as one of the most promising therapeutic agents in the treatment of obesity [6]. GLP-1RAs have several effects on various organ systems, combining central and peripheral actions that promote satiety, decrease hunger, decrease appetite, and ultimately lead to reduced food intake [7]. Long-acting GLP-1RA semaglutide has proven to be the most effective GLP-1RA regarding weight loss [8]. A meta-analysis of randomized controlled trials showed that the use of once-weekly 2.4 mg semaglutide, compared with placebo, was associated with a substantial long-term relative (−12.1%) and absolute (−12.3 kg) weight loss [9]. A third of participants randomized to semaglutide achieved at least a 20% reduction in their body weight by the end of the treatment period compared with 2.2% of participants randomized to placebo [9]. However, high (maximal) doses of semaglutide might be connected with increased risk of side effects and treatment intolerance, which might lead to premature treatment discontinuation and treatment failure [9].

Furthermore, studies have also shown other beneficial properties of GLP-1RA such as their cardioprotective and nephroprotective effects, which seem to be independent of weight loss [10, 11]. Research is being conducted in several other areas such as metabolic dysfunction-associated steatotic liver disease (MASLD), polycystic ovary syndrome, addictions, and neurodegenerative diseases [12, 13]. However, the exact molecular mechanisms for the listed GLP-1RA effects remain unclear. It has been speculated that weight loss independent effects of GLP-1RA are mediated through the regulation of microribonucleic acid (miRNA) expression [14].

miRNAs (miRs) are small non-coding ribonucleic acids (RNAs) consisting of 21–25 nucleotides (most commonly 22), which serve as key modulators of protein expression [15]. It is estimated that more than 45,000 miRNA target sites are present in the human deoxyribonucleic acid, affecting nearly 60% of coding genes [15]. Research suggests that miRNAs play a role in numerous metabolic diseases such as T2DM and lipid spectrum disorders [16]. It has been found that miR-126 (miRNA) expression is significantly reduced in both impaired fasting glucose and T2DM individuals, miR-375 has been proposed as an important regulator of pancreatic β-cell function, and miRNA miR-1249, miR-320b, and miR-527 have been identified as biomarkers of T2DM susceptibility [16–18]. Furthermore, obesity increases the expression of miR-132 and miR-212 in the islets of diabetes-resistant and diabetes-susceptible mice suggesting that the mentioned miRNAs may have a role in the pathogenesis of T2DM [19]. It has been suggested that miR-122, which is most abundantly expressed in the liver-regulating triacylglycerol (TAG) and cholesterol metabolism, plays a pivotal role in nonalcoholic fatty liver disease (NAFLD) progression providing, perhaps, a novel therapeutic target [20]. Higher levels of miR-34a were found in patients with NAFLD and mice models, while its inhibition in mice and tissue cultures significantly improved steatosis and TAG plasma levels suggesting that miR-34a may be a novel pharmaceutical target for NAFLD [21, 22]. It has been found that naturally occurring GLP-1 and also synthetic GLP-1RA can modulate the expression of different miRNAs. In the pancreas, GLP-1 agonists increase the expression of miRNA-212 and miRNA-132, stimulating insulin secretion [23]. GLP-1RA also decreases miRNA-338 levels leading to an increase of promoter factor 1 insulin (PDX1) gene expression, followed by increased insulin secretion and an improvement of pancreatic β-cell function [24]. A short-acting GLP-1RA liraglutide has been shown to have protective effects against pancreatic β-cell apoptosis by downregulating miR-139-5p [25]. GLP-1RAs also enhance β-cell responsiveness by promoting GLP-1 receptor expression through the suppression of miR-204 [25]. With respect to MASLD, GLP-1RAs are able to downregulate miRNA-34a and miRNA-21 and upregulate miRNA-200b and miRNA-200c expression in the liver, reducing intrahepatic lipid accumulation and liver steatosis [24]. It has been suggested that cardiovascular (CV) protective effect of GLP-1RA in coronary artery disease is mediated via modulation of miRNA expression, since miR-203a-3p and miR-429 have shown significantly decreased expression after treatment with GLP-1RA [14]. Semaglutide, liraglutide, and dulaglutide have been reported to reduce systolic and diastolic blood pressure, and exenatide-induced miR-29b-3p has demonstrated a protective effect against diabetic cardiomyopathy as well [25–27]. Moreover, liraglutide modulates critical regulators of endothelial cell function and atherosclerosis, including miR-93-5p, miR-26a-5p, and miR-181a-5p [25]. GLP-1RAs also participate in the regulation of exosomal miRNAs, such as miR-192, which take part in the development of fibrosis and inflammation in T2DM microvascular complications such as diabetic kidney disease and diabetic retinopathy [25]. MiRNAs have also been shown to predict response to GLP-1RA therapy in patients with T2DM. Higher miR-378-3p and miR-126-3p levels are related to better glycemic control and lower glycosylated hemoglobin after 1 year of treatment. MiR-375-5p was also reported to be a predictor of glycosylated hemoglobin levels. The highly expressed miR-375 in pancreatic islets can be considered a biomarker for assessing the cytoprotective action of GLP-1RAs on β-cells. Lastly, baseline miR-15a-5p can predict weight loss using GLP-1RA [25, 28]. However, in spite of all the aforementioned findings, there is still a lack of studies examining the effect of semaglutide on the expression levels of miRNA in nondiabetic individuals with obesity. Therefore, in this study we aimed to investigate the effect of semaglutide therapy administered at submaximal doses on changes in the expression of plasma miRNA in patients with obesity.

Based on the data described above, we hypothesized that the administration of submaximal doses of semaglutide (together with standard non-pharmacological care) would lead to changes in expression of miRNA. We wanted to describe the changes in known metabolism-related miRNA, as well as the changes of those miRNAs which were not previously described, and therefore performed the descriptive analysis using a novel microarray assay for miRNA analysis. The specific objectives of our study were set as follows:

  • 1.

    To identify and describe the changed miRNA after the course of the submaximal semaglutide administration;

  • 2.

    To quantify the changes in miRNA;

  • 3.

    To try to perform pathway analysis of the identified miRNA which levels changed after the therapy.

Materials and Methods

Study Design and Patients

We conducted a pilot, prospective, observational, and post-marketing study investigating the effect of long-acting GLP-1RA therapy semaglutide administered at submaximal doses on changes in the expression of plasma miRNA in patients with obesity. Our study included 34 individuals with obesity, who were followed up and treated at an outpatient cardio-obesity clinic operated by our Department of Internal Medicine between October 2022 and February 2024. Patients were eligible for enrolment if they met the study inclusion criteria: the age ≥18, baseline BMI ≥30 kg/m2, a written informed letter of consent with study participation, no concomitant pharmacological therapy for obesity, and no history of bariatric/metabolic surgery or prior endoscopic weight loss procedures. Furthermore, only individuals with primary (exogenous) obesity were included and every patient underwent a thorough diagnostic examination involving an endocrinologist that ruled out secondary causes of obesity. The exclusion criteria were in line with known contraindications to semaglutide treatment: i.e., family history of medullary thyroid carcinoma or multiple endocrine neoplasia 2 syndrome, pregnancy, history of severe/recurring pancreatitis, severe liver damage (Child Pugh C cirrhosis), and terminal stage of chronic kidney disease. Patients taking any chronic therapy that may have potentially led to weight gain (i.e., corticosteroids, antipsychotics) were excluded from the study as well. The management of obesity followed the guidelines recommended by the European Association for the Study of Obesity (EASO) [1]. All patients underwent an initial examination with diagnostic work-up that consisted of a thorough medical history with a particular focus on the prevalence of obesity in the family as well as the individual’s history of obesity, its duration, precipitating factors, past attempts at weight reduction, daily lifestyle choices, dietary patterns, extent of physical activity, etc. In addition, a physical examination was performed by a physician trained in internal medicine, which involved measurements of baseline anthropometric parameters: body height, weight, waist and hip circumference. These parameters were then used to calculate BMI and waist-to-height ratio. Furthermore, a 12-lead electrocardiogram was recorded, and blood tests including full blood count, coagulation parameters, electrolyte panel, serum urea, creatinine, unconjugated and conjugated bilirubin, hepatic aminotransferases, lipid panel, total serum protein, serum cortisol, and thyroid function tests were obtained. Treatment adhered to the EASO guidelines, and non-pharmacological interventions were advised and communicated to all patients. All the enrolled patients were eligible to receive pharmacological therapy as the study inclusion criteria suggest. Semaglutide was chosen as the treatment option for these patients due to its well-established safety profile and effectiveness in weight reduction as demonstrated in the STEP trial [6].

Since this was a pilot study, no sample size was calculated, and the size of the study group was determined by the duration of the study. The patients were enrolled if they fulfilled the inclusion criteria and did not meet the mentioned exclusion criteria. All enrolled patients signed a written informed consent prior to blood sampling. After obtaining the written informed consent for study participation, blood samples were taken prior to the initiation of GLP-1RA treatment (sample 1) and subsequently after 6 months of treatment (sample 2) for the assessment of plasma miRNA levels. Blood sampling was carried out using standard Vacutainer blood collection tubes with EDTA as an anticoagulant agent. The primary endpoint was to assess the effect of semaglutide administered at submaximal doses on changes in the expression of miRNA in patients with obesity. Due to the nature of this study, no control group was required as the study aimed at observing and comparing changes in the expression of miRNA exclusively in the selected group of patients with obesity before and 6 months after the initiation of GLP-1RA therapy.

All investigated patients were treated with semaglutide at an initial dose of 0.25 mg subcutaneously once weekly, with dose up-titration over the course of 6 months as recommended by the drug manufacturer’s while adjusting for side effects and tolerance. Hence, the dose was increased by 0.25 mg every month to a final dose ranging from 0.25 mg to 1.5 mg once weekly after 6 months. Some patients did not tolerate doses greater than 0.25 mg; therefore, no further up-titration was possible, which explains the variability in dosing. During the course of this study, the patients went through regular follow-up appointments at the outpatient cardio-obesity clinic on a monthly basis. These examinations focused on observing changes in their anthropometric parameters (weight, waist circumference), the calculation of waist-to-height ratio, BMI. Blood tests were obtained to analyze selected laboratory parameters as described above prior to and 6 months after the initiation of therapy. The patients were also recommended to have a low-calorie diet (500 kcal/day deficit relative to estimated energy expenditure) and increased physical activity: at least 150 min of aerobic activity and 2–3 resistance trainings per week. All patients reached a follow-up period of at least 6 months from the start of semaglutide treatment. The visits also enabled the physician to monitor for potential side effects of semaglutide treatment such as diarrhea, nausea, constipation, abdominal pain, acute pancreatitis, fatigue, and headache. Even though some patients developed mild-to-moderate side effects, all of them completed the designated 6-month period of treatment, and no patient paused or ended the treatment prematurely.

Laboratory Assessment of miRNA

Isolation of Total RNA

Total RNA was isolated from 1 mL of non-hemolyzed blood plasma using the exoRNeasy Midi Kit (Qiagen, Hilden, Germany) according to the manufacturer’s protocol. The total RNA concentration and the percentage of the miRNA subfraction were determined using the Agilent Bioanalyzer 2100 with the Small RNA Kit (Agilent Technologies, Santa Clara, CA, USA). This kit allows for the detection of RNA ranging from 6 to 150 bp at a concentration as low as 50 pg/µL. Samples with significant visible degradation were excluded from the study. After isolation, the RNA was stored at −80°C.

Microarray Analyses

For microarray analyses, 2 μL of total RNA was used. According to the application note by Coco and Vanni [29], using this sample volume without prior adjustment to a specific concentration is suitable for microarray analyses. The authors demonstrated that, regardless of the sample volume – 2 μL, 6 μL, or 10 μL, miRNAs could be reliably detected. They also reported consistency between the sample volume and the number of miRNAs detected, with at least 15 out of 20 replicated probes showing consistent results.

Sample preparation for microarray analysis was performed according to the instructions provided in the manual “miRNA Microarray System with miRNA Complete Labelling and Hyb Kit” (version 4.1, October 2021, Agilent Technologies). Briefly, control spike-in RNAs were added to each sample to ensure normalization and verify the accuracy of each step. The samples were then labeled with pCp-Cy3 fluorescent dye and prepared for hybridization using the Agilent miRNA Labelling and Hybridization Kit (Agilent Technologies). To enhance the sensitivity and efficiency of hybridization, 1 μL of HPLC-purified commercial synthetic deoxyribonucleic acid poly-A oligonucleotide (3′ labeled with pCp-Cy3, TIB Molbiol, Genoa, Italy) was added to the hybridization mix at a concentration of 50 amol/μL, following the instructions of the application note [29]. The labeled samples were applied to a gasket slide, paired with the SurePrint G3 Human miRNA Microarray, 8 × 60K (Agilent Technologies). The gasket slide and microarray assembly were placed in a hybridization oven for 20 h at 20 rpm and 55°C. After hybridization, the slides were thoroughly washed using two types of wash buffers (Agilent Technologies, USA) and dried.

Scanning and Data Analysis

The microarray slides were then scanned at a resolution of 3 µm using the Agilent SureScan Dx Microarray Scanner (Agilent Technologies). The scanning process output consists of TIFF image data, which were subsequently processed using the Agilent Feature Extraction 12.2.0.7 software (Agilent Technologies). This software allows for the extraction and conversion of image data into a text format and provides a quality control report for each sample. For the biostatistical analysis in the GeneSpring Multi-Omic Analysis program (Agilent Technologies), only the samples that met all the qualitative and quantitative criteria specified in the quality report were selected.

Lastly, putative target genes of deregulated miRNAs were identified using miRTargetLink 2.0 [30], restricting analysis to strongly validated miRNA-mRNA interactions. The resulting gene set was subsequently analyzed for functional enrichment using the STRING interactive web tool [31], which integrates known protein-protein interactions to identify overrepresented biological processes, molecular functions, and signaling pathways among targeted genes.

Statistical Analysis

The data were first normalized to the 75th percentile, which is considered a more robust intensity value for data normalization. Using an intensity value from a higher percentile effectively captures the median of probes with reliable intensity values, while probes with low intensity are excluded.

The normality of the data distribution was assessed using the Shapiro-Wilk test. Since the data did not follow a Gaussian distribution, the Mann-Whitney paired test was employed to evaluate statistical differences in the expression between the two groups (patients before treatment vs. patients after treatment). This nonparametric test, implemented in the GeneSpring software, is designed to determine the significance of differences between two dependent groups. It combines the principles of the Wilcoxon signed-rank test with selected attributes of the Mann-Whitney U test. Expression differences were considered statistically significant if the p value <0.05. Moreover, a Benjamini-Hochberg correction for false discovery rate (FDR) was also applied to the obtained data.

In addition, a nonparametric Spearman’s rank correlation coefficient was calculated between the differences in both the anthropometric and laboratory parameters and miRNA expression levels before and after semaglutide treatment to detect whether changes in miRNA expression would correlate with changes in the observed parameters. A correlation was deemed statistically significant if it produced a ρ (rho) value of +/− 0.3 and a p value <0.05. Lastly, the laboratory parameters themselves were also checked for normality via the Shapiro-Wilk test, distribution and then analyzed accordingly by either the Student t test when symmetrically distributed or the Wilcoxon signed-rank test when asymmetrically distributed to detect any statistically significant differences between the baseline and posttreatment values on suboptimally dosed semaglutide therapy. The value of p < 0.05 was used as a level of statistical significance.

Results

Patients

Initially, the studied group consisted of 34 patients meeting the study enrolment criteria and each patient had two samples of blood plasma taken – the first sample prior to initiating GLP-1RA therapy and the second sample after 6 months of this therapy. After processing the material and evaluating all the necessary parameters and data, 62 samples from 31 patients (22 women and 9 men) in total were included in the final group. The remaining 3 patients had their samples excluded due to poor quality or quantity of the isolated miRNA, or based on the recommendation of a statistician, respectively. The baseline and posttreatment demographic, anthropometric, and laboratory parameters as well as comorbidities of the enrolled patients are reported as either mean ± standard deviation values or median with interquartile ranges Q1 and Q3 in Table 1. Based on our statistical analysis, the levels of aspartate aminotransferase (AST) (0.42 [0.34, 0.51] vs. 0.40 [0.32, 0.50], p = 0.01), alanine aminotransferase (ALT) (0.48 [0.37, 0.66] vs. 0.40 [0.27, 0.54], p = 0.0004), total cholesterol (5.43 ± 1.17 vs. 4.68 ± 1.09, p < 0.0001) ,and low-density lipoprotein (LDL) (3.44 ± 1.03 vs. 3.05 ± 0.95, p = 0.0023) were significantly reduced with 6-month semaglutide therapy at submaximal doses.

Table 1.

Basic review of selected anthropometric, laboratory parameters and comorbidities of the study group

​ Baseline parameters Posttreatment parameters
Patients (women/men), n 31 (22/9) 31 (22/9)
Age 48 (25–70) N/A
Height, cm 170.7±10.9 N/A
Weight, kg 115.9±22.3 104.9±22.2
BMI, kg/m2 39.7±6.1 36.1±6.4
Waist circumference, cm 119.9±13.1 112.7±14.4
Waist-to-height ratio 0.70±0.08 0.66±0.08
Serum creatinine, µmol/L 69.50 [61.00, 82.00] 69.00 [64.25, 85.00]
Calculated GFR – Cockcroft-Gault, mL/min/1.73 m2 93.4±15.4 89.3±17.5
ALT, µkat/L 0.48 [0.37, 0.66] 0.40 [0.27, 0.54]
AST, µkat/L 0.42 [0.34, 0.51] 0.40 [0.32, 0.50]
Hemoglobin, g/L 142.8±12.6 141.4±12.9
Total serum protein, g/L 74.3±2.7 73.4±3.4
Total cholesterol, mmol/L 5.4±1.2 4.7±1.1
LDL cholesterol, mmol/L 3.4±1.0 3.1±1.0
HDL cholesterol, mmol/L 1.17 [0.95, 1.33] 1.07 [0.92, 1.21]
TAGs, mmol/L 1.58 [1.33, 2.15] 1.42 [1.20, 1.72]
Type 2 diabetes, % 38.7 N/A
Hyperlipidemia, % 77.4 N/A
MASLD, % 29.0 N/A
Active oncological disease, % 0 N/A
Chronic kidney disease, % 6.5 N/A
Coronary artery disease, % 16.1 N/A
Atrial fibrillation, % 22.6 N/A
Arterial hypertension, % 29.0 N/A
Bariatric surgery – gastric sleeve resection, % 9.7 N/A
Gastroesophageal reflux disease, % 22.6 N/A
Hypothyroidism, % 19.4 N/A
Bronchial asthma, % 9.7 N/A
Hyperandrogenic syndrome, % 6.5 N/A
Valve disease – moderate to severe, % 6.5 N/A

BMI, body mass index; GFR, glomerular filtration rate; ALT, alanine aminotransferase; AST, aspartate aminotransferase; LDL, low-density lipoprotein; HDL, high-density lipoprotein; GLP-1RA, glucagon-like peptide 1 receptor agonist.

MiRNA Analysis

Subsequently, the miRNA analysis was performed. Based on the aforementioned statistical methods and analyses, which enabled the observation of alterations in the expression of as many as 2,549 miRNAs, 8 miRNAs were determined to have their expression levels changed with nominal significance when comparing samples obtained prior to GLP-1RA treatment with samples taken after 6 months of therapy. Out of the miRNAs in question, 3 miRNAs (Homo sapiens [hsa]-miR-1273f, hsa-miR-4644, and hsa-miR-6071) showed nominally decreased expression after treatment, while 5 miRNAs (hsa-miR-151b, hsa-miR-223-3p, hsa-miR-27b-3p, hsa-miR-29c-3p, and hsa-miR-4284) demonstrated nominally increased expression as shown in the volcano plot graph (Fig. 1). Table 2 lists all deregulated miRNAs accompanied by the values of averaged normalized intensities with respective p values. The results are also depicted in the form of a box plot graph highlighting normalized intensity values of miRNAs with nominally significant expression before and after treatment (Fig. 2). However, when applying the Benjamini-Hochberg correction across all tested miRNAs, none of the observed associations remained statistically significant. No statistically significant correlation was observed between the anthropometric parameters and miRNA expression levels either. On the other hand, Spearman’s rank correlation coefficient showed a significant correlation between hsa-miR-1273f with ALT (ρ = 0.40, p < 0.0241) and AST (ρ = 0.46, p = 0.0086). Additionally, hsa-miR-1273f showed an interesting correlation with LDL (ρ = 0.33, p = 0.0687) and high-density lipoprotein (ρ = 0.32, p = 0.0807), but it did not reach statistical significance. Lastly, several miRNAs significantly correlated with TAG, namely, hsa-miR-151b (ρ = 0.39, p = 0.0320), hsa-miR-27b-3p (ρ = 0.38, p = 0.0358), hsa-miR-29c-3p (ρ = 0.37, p = 0.0397), and hsa-miR-4644 (ρ = −0.42, p = 0.0176).

Fig. 1.

The plot is showing a changes (log2 fold change) of upregulated and downregulated miRNAs after semaglutide therapy

A volcano plot showing a log2 fold change on the x-axis and a log10 p value on the y-axis, highlighting significantly upregulated (red and orange boxes) and downregulated miRNAs (blue and light blue boxes).

Table 2.

The list of miRNAs with a change in their expression at baseline and after 6 months of GLP-1RA therapy

miRNA Averaged normalized intensities p value Regulation Fold change
before treatment after treatment absolute difference
miR-1273f 1.63 0.43 −1.20 0.0416 ↓ −2.30
miR-151b 0.01 1.12 1.11 0.0417 ↑ 2.18
miR-223-3p 7.10 8.07 0.97 0.0415 ↑ 1.96
miR-27b-3p 0.01 1.15 1.14 0.0417 ↑ 2.22
miR-29c-3p 0.14 1.28 1.14 0.0480 ↑ 2.20
miR-4284 0.33 1.70 1.37 0.0379 ↑ 2.59
miR-4644 3.82 3.01 −0.81 0.0333 ↓ −1.75
miR-6071 2.23 1.01 −1.22 0.0466 ↓ −2.32

Fig. 2.

Boxplots showing the normalized intensity values of 8 miRNAs which had differential expression after semaglutide therapy.

Boxplots visualizing the normalized intensity values of 8 miRNAs with statistically significant differential expression between the analyzed patient groups before and after treatment.

Additionally, of the eight analyzed miRNAs, miR-1273f was not present in the miRTargetLink database, and miR-4644, miR-6071, and miR-151b did not have any strongly validated targets. The remaining miRNAs collectively yielded 159 strongly validated targets. Among these targets, FOXO and SP1 were the only genes targeted by more than one miRNA, each by two distinct miRNAs. STRING analysis of the target genes revealed a highly interconnected protein-protein interaction network comprising 1,410 edges, substantially exceeding the expected 533 edges (PPI enrichment p < 1.0 × 10−16), indicating significant functional connectivity among targets. Pathway analysis further revealed significant enrichment of 128 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. The most significantly enriched KEGG pathways are summarized in Figure 3.

Fig. 3.

Figure is showing the pathway and functional enrichment analysis of the miRNA target genes.

Pathway and functional enrichment analysis of the miRNA target genes.

Discussion

Our study observed trends in the expression of 8 miRNAs 6 months after the initiation of semaglutide therapy dosed sub-maximally (with standard non-pharmacological therapy of obesity) compared to pretreatment levels. Three miRNAs (hsa-miR-1273f, hsa-miR-4644, and hsa-miR-6071) had nominally decreased levels of expression (downregulation), while 5 miRNAs (hsa-miR-151b, hsa-miR-223-3p, hsa-miR-27b-3p, hsa-miR-29c-3p, and hsa-miR-4284) showed nominally increased expression (upregulation). The lack of FDR-significant findings presumably reflects the limited sample size and the stringent correction required for high-dimensional data. However, the primary objective of the present study was not biomarker discovery but to provide an initial, hypothesis-generating characterization of miRNA expression changes in this clinical context. The 6-month duration of semaglutide treatment in this study was deemed sufficient to show any potential significant changes based on the experience of investigators and improvements observed in the anthropometric parameters of the study group. As already mentioned, submaximal doses of semaglutide were used. The rationale behind this relied on the fact that greater doses of semaglutide were difficult to obtain due to the country’s drug administration policy as only 0.25 mg, 0.5 mg, and 1.0 mg injection pens were at disposal while a 2.4-mg injection pen was not available at all. Nevertheless, the patients did achieve significant weight reduction (defined as a loss of at least 5% of the initial body weight over the first 3 months of treatment) [1], represented by an 11-kg difference between the mean baseline weight and the mean weight after 6 months of GLP-1RA therapy as shown in Table 1.

With respect to the basic demographic, anthropometric, laboratory parameters and comorbidities of the study group, the mean BMI of the investigated patients corresponded to class 2 obesity according to the WHO. In fact, the anthropometric parameters were all improved after 6 months of GLP-1RA treatment as expected (see Table 1). Regarding the baseline laboratory parameters, the patients had, on average, normal kidney function, normal blood count, minerals, and no significant elevation in hepatic enzymes despite the fact that nearly a third of all participants presented with MASLD. A mild elevation in serum total cholesterol and serum TAG was detected as well. With respect to the posttreatment parameters, a statistically significant reduction was observed in AST, ALT, total cholesterol, and LDL levels during 6 months of semaglutide treatment at submaximal doses suggesting a potential effect of semaglutide on hepatic function as well as on the lipid profile even at lower doses than those reported in major clinical trials [10]. However, it is still unclear whether this metabolic effect is a function of the GLP-1RA itself or the weight reduction achieved due to the complex treatment of obesity.

Upon reviewing data in the current literature, to the best of our knowledge, currently, there are no studies analyzing the effect of semaglutide on expression levels of miRNA in individuals with obesity, and therefore the results of this study cannot be compared or validated with any other study. When analyzing the available data, we identified some studies, which attempted to determine the effect of GLP-1RA treatment on the expression of miRNA, but predominantly in patients with T2DM and additional CV or metabolic diseases [24, 25, 28]. However, no study examined such an effect on miRNA expression levels in patients with obesity in particular, in whom GLP-1RA semaglutide was the cornerstone of pharmacotherapy. The rationale for performing such a study stems from the fact that semaglutide showed a reduction in CV risk and mortality in obese patients even in the absence of T2DM [10]. But the exact mechanism, which can explain this GLP-1RA-induced effect, has yet to be elucidated. Additionally, despite the well-known positive effect of GLP-1RA on weight reduction and CV benefits in obese patients, there are still some patients, who do not respond to treatment. Identifying such individuals prior to or shortly after the initiation of GLP-1RA therapy could minimize the cost of treatment and enable physicians to tailor obesity treatment more effectively. As a matter of fact, certain studies showed that GLP-1 and GLP-1RA can modulate the expression of different miRNAs, which might potentially mediate cardioprotective effects of GLP-1RA in obese patients [24]. Our study also showed that changes in the expression of several miRNAs significantly correlated with changes in certain laboratory parameters during the 6-month semaglutide therapy. However, there are no other studies for comparison, and these findings should lay out the foundation for further research into this area providing potential pathways, in which semaglutide acts on metabolism and important metabolic sites via miRNA modulation. Our study showed a direct correlation between hsa-miR-1273f and AST, ALT as well as a number of miRNAs correlating with TAG as mentioned above. Furthermore, miRNAs have been extensively studied as novel biomarkers of disease progression and/or of therapeutic response to various drugs as well. However, the role of these miRNAs as predictors of treatment responsiveness to GLP-1RA in patients with obesity has not yet been investigated, which makes our study unique and a first of its kind in this regard.

Liu et al. [14] studied the effect of GLP-1RA on miRNA expression in patients with T2DM and coronary artery disease with an aim to determine whether specific miRNA mediates cardioprotective effects of GLP-1RA. Two miRNAs were identified with significantly decreased expression, miR-203a-3p and miR-429, with the study concluding that the cardioprotective effects of GLP-1RA are mediated via the suppression of the aforementioned miRNA. However, the study did not focus specifically on patients with obesity, and the miRNAs identified were not found to have significant changes of expression in our study. Although semaglutide was reported to upregulate miR-5120 in the blood as well as the liver of mice while suppressing the expression of ABHD6’s mRNA and protein related to miR-5120, which was observed in several metabolic diseases including obesity [32], our study did not find any significant changes in the expression of this particular miRNA. Lastly, Formichi et al. [28] identified miR-223-3p as a potential predictor of treatment effectiveness of GLP-1RA therapy in 26 patients with T2DM and demonstrated that patients with higher baseline levels of miR-223-3p had a more favorable glycemic outcome after a year-long GLP-1RA therapy. miR-223-3p has also been associated with adipocyte tissue dysfunction [33], which often develops prior to the onset of T2DM and is exacerbated by systemic inflammation, commonly observed in obesity. Indeed, our study found this particular miRNA to be upregulated by GLP-1RA after 6 months, which might open the discussion whether, to some extent, the metabolic and cardioprotective effects of GLP-1RA might be mediated via this biomarker. On the other hand, these two studies used different GLP-1RA agents, because while we administered semaglutide alone at submaximal doses, Formichi et al. [28] utilized liraglutide or dulaglutide in combination with metformin. Even so, it could be argued that there is a potential class effect of GLP-1RA on the expression levels of miR-223-3p in patients with T2DM and obesity, which could be explored further by studying the effects of GLP-1RA alone on the expression changes in T2DM and obesity in a larger sample of patients. Regarding the origin of this particular miRNA, it was found in hepatic and cardiac tissues in animal models of hyperlipidemia in addition to adipose tissue, particularly in preadipocytes exerting the abovementioned effects [33]. This observation is further supported by the KEGG pathway analysis of the miRNAs examined in this study (Fig. 3), which identifies the AGE-RAGE signaling pathway in diabetic complications as one of the most significantly enriched pathways [31]. These findings suggest that GLP-1RAs may exert favorable cardiometabolic effects, at least in part, by modulating the expression of miRNAs implicated in microvascular complications of T2DM, including miR-223-3p. In addition, the hepatic miR-223-3p was shown to be involved in cholesterol synthesis and release [34]. miR-27b-3p was shown to be present across various human tissues such as liver, adipocytes, or kidney; additionally, numerous studies have described its role as a tumor suppressor in the pathogenesis of hepatocellular carcinoma by inhibiting the NF-кB activity [35], suggesting a potential protective effect of GLP-1RA against carcinogenesis. miR-29c-3p is another miRNA, which showed increased expression with semaglutide therapy in our study and was shown to possess a critical role in oncogenesis, particularly as a potent tumor suppressor gene as well as having antifibrotic properties, since miR-29c-3p was found to be downregulated in conditions such as cardiac hypertrophy, congestive heart failure, diabetic nephropathy, and chronic hepatic injury [36, 37]. Interestingly, miR-29c-3p also regulates insulin signaling, thereby interacting with lipid and glucose metabolism and potentially T2DM [37]. miR-4284 has not been attributed to a particular human tissue or organ system so far; instead, it has been found in various cancer types; for example, it was upregulated in non-small cell lung carcinoma [38]. One study focused on miR-151b as a potential biomarker in acute ischemic stroke, and it was found to have significantly greater expression in the blood of the affected patients compared to healthy controls [39]. However, current literature does not offer evidence for any other specific human tissues to express miR-151b. Likewise, much less is known about the origin of other significantly altered miRNAs in our study such as miR-1273f or miR-6071, though the latter has been detected in human glioblastoma tissues [40, 41]. Furthermore, miR-4644 has been reported in plasma exosomes obtained from patients with bladder cancer with increased levels of expression compared to control subjects, providing yet another example of a potential use of miRNAs as biomarkers of cancer formation and progression, which could theoretically be impacted by semaglutide treatment [42]. Indeed, as far as we know, we have conducted the first study to demonstrate a possible function of miRNAs as biomarkers of treatment response to semaglutide in individuals with obesity; however, our findings need to be validated in further studies with larger samples of patients.

Limitations

There were a number of limitations in our study that need to be addressed. First, the sample size was relatively small. This can be explained to some extent by the fact that our study had to respect its financial limitations with regard to materials such as diagnostic kits for miRNA analysis and processing, which were expensive, and frankly, did not allow for the examination of a larger sample size. The limited sample size likely led to the aforementioned lack of FDR-significant findings. On the other hand, the aim of this study was to provide an initial, hypothesis-generating characterization of miRNA expression changes in the clinical context of possible weight-independent GLP-1RA effects and not to discover any new biomarkers. Second, some patients followed at our clinic had to be excluded due to the history of bariatric/metabolic surgery or endoscopic weight loss procedures in the past. Third, submaximal doses of semaglutide were used, and the titration protocol could not achieve the target doses of semaglutide as recommended in the literature due to the aforementioned reasons, the lack of a 2.4-mg dose in the country above all. Nonetheless, the real-world data as well as our clinical practice and experience suggest that the submaximal doses are effective at reducing weight and additional anthropometric parameters, which is certainly underlined by the results achieved in this study. Fourth, in our study, standard non-pharmacological therapy of obesity (reduced daily caloric intake by 500 kcal and increased physical activity) was recommended to all enrolled patients, which is in line with the current practice for the treatment of obesity. Unfortunately, we were unable to create a control sample of individuals with non-pharmacological approaches alone, as the patients enrolled in our study were unable to reduce their weight with non-pharmacological approaches alone and wanted to start the pharmacological therapy. As previously published studies showed possible effect of caloric restriction and exercise on both metabolic parameters and circulating miRNAs [43–46], one cannot determine whether the described changes in miRNA expression were achieved by semaglutide therapy alone, by non-pharmacological interventions alone, or by a combination of these. Although it is not likely that the observed changes were not determined by semaglutide administration, due to the lack of the control group, the effect of non-pharmacological intervention cannot be excluded. To answer this question, a study specifically examining the changes in miRNA expression (specifically those which tended to be changed) in these three subgroups needs to be performed.

Fifth, this study did not account for the impact of concomitant medications on possible changes in the expression of miRNA. But as already mentioned, patients with other pharmacological therapies for obesity were not included, and no patients with active oncological disease requiring cytostatic or any other gene-based therapy were studied either. In addition, most patients did not present with polypharmacy, generally taking treatment for common CV diseases such as arterial hypertension, hyperlipidemia, ischemic heart disease. Sixth, one could question the biological relevance of our observation, as none of the identified microRNAs correlate with anthropometric parameters, and only weak associations were observed with selected hepatic markers. As mentioned, our study was designed as a preliminary descriptive one. Thus, the real biological relevance of our observation remains, at this time, unexplained. Right now it remains unclear, whether the identified miRNA would be useful as diagnostic markers of optimal/in-optimal response on submaximal semaglutide administration. Further studies with larger patient samples and larger treatment duration would be needed for the clarification of this issue. Therefore, our study and our results should be still interpreted as primarily descriptive and associative, and all upper mentioned facts/limitations should be taken into consideration when the results of our study are interpreted.

Conclusion

This study demonstrated a nominally significant increase in the expression of hsa-miR-151b, hsa-miR-223-3p, hsa-miR-27b-3p, hsa-miR-29c-3p, and hsa-miR-4284 and a nominally significant decrease in the expression of hsa-miR-1273f, hsa-miR-4644, hsa-miR-6071 in patients with obesity after 6 months of semaglutide therapy at submaximal doses and standard non-pharmacological therapy (reduced daily caloric intake by 500 kcal and increased physical activity). However, these observations come from a pilot study, and the implications of these findings remain unclear. Nevertheless, the results advocate further research to elucidate the role of miRNA in predicting treatment responsiveness to GLP-1RA in patients with obesity.

Acknowledgments

The first two authors (Jakub Jurica and Zuzana Miertová) share their first authorship as they contributed equally to this work and manuscript preparation.

Statement of Ethics

This research was conducted according to ethical standards. The study protocol was formally reviewed and approved by the Ethics Committee of Jessenius Faculty of Medicine in Martin, ethical approval code EK 17/2019, date of approval April 24, 2019. All enrolled participants agreed with the study participation, and a written informed consent was obtained from participants to participate in the study.

Conflict of Interest Statement

The authors have no conflicts of interest to declare.

Funding Sources

The study was funded and conducted as part of the long-term strategic research of prevention, intervention, and mechanisms of obesity and its comorbidities (project code in ITMS 2014+: 313011V344); sources from this project were used for study design and for laboratory equipment, laboratory reagents, and researcher salaries. The study was also supported by the Scientific Grant Agency of the Ministry of Education, Research, Development and Youth of the Slovak Republic and the Slovak Academy of Sciences (VEGA) (Grant Nos. 1/0549/19; 1/0090/20; 1/0145/22); sources from these projects were used for study indirect costs, statistical evaluation, data interpretation, and manuscript preparation.

Author Contributions

J.J., Z.M., M.S., T.B., P.G., M.Š., and E.H. designed the study; J.J., Z.M., and D.B. drafted the manuscript; J.J., Z.M., M.J.P., B.F., A.M., P.T., N.N., I.S., and M.P. collected, analyzed, and interpreted the clinical data, and performed the search of the literature; M.Š., D.D., D.B., I.B., A.K., and Z.D. performed the miRNA analysis, and collected, analyzed, and interpreted the laboratory data; T.B., P.G., M.M., E.H., and M.S. supervised the study and acquired the funding; T.B., M.M., E.H., and M.S. revised the manuscript critically. J.J. and Z.M. share first authorship, and their contribution to this work was equal. All the authors have read and approved the final version of the manuscript.

Funding Statement

The study was funded and conducted as part of the long-term strategic research of prevention, intervention, and mechanisms of obesity and its comorbidities (project code in ITMS 2014+: 313011V344); sources from this project were used for study design and for laboratory equipment, laboratory reagents, and researcher salaries. The study was also supported by the Scientific Grant Agency of the Ministry of Education, Research, Development and Youth of the Slovak Republic and the Slovak Academy of Sciences (VEGA) (Grant Nos. 1/0549/19; 1/0090/20; 1/0145/22); sources from these projects were used for study indirect costs, statistical evaluation, data interpretation, and manuscript preparation.

Data Availability Statement

The data that support the findings of this study are not publicly available due to legal and privacy restrictions; but these data are available from the corresponding author upon reasonable request.

References

  • 1. Yumuk V, Tsigos C, Fried M, Schindler K, Busetto L, Micic D, et al. Obesity management task force of the European association for the study of obesity. European guidelines for obesity management in adults. Obes Facts. 2015;8(6):402–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. World Health Organization . Obesity and Overweight. WHO fact sheet. Geneva: WHO; 2025. https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight (accessed September 23, 2025). [Google Scholar]
  • 3. Kelly T, Yang W, Chen CS, Reynolds K, He J. Global burden of obesity in 2005 and projections to 2030. Int J Obes. 2008;32(9):1431–7. [DOI] [PubMed] [Google Scholar]
  • 4. Tsapepas D, Sandra V, Dale LA, Drexler Y, King KL, Yu M, et al. Retrospective analysis of the impact of severe obesity on kidney transplant outcomes. Nephrol Dial Transpl. 2023;38(2):472–80. [DOI] [PubMed] [Google Scholar]
  • 5. Islam ANMS, Sultana H, Nazmul Hassan Refat M, Farhana Z, Abdulbasah Kamil A, Meshbahur Rahman M. The global burden of overweight-obesity and its association with economic status, benefiting from STEPs survey of WHO member states: a meta-analysis. Prev Med Rep. 2024;46:102882. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Wilding JPH, Batterham RL, Calanna S, Davies M, Van Gaal LF, Lingvay I, et al. Once-weekly semaglutide in adults with overweight or obesity. N Engl J Med. 2021;384(11):989–1002. [DOI] [PubMed] [Google Scholar]
  • 7. Popoviciu MS, Păduraru L, Yahya G, Metwally K, Cavalu S. Emerging role of GLP-1 agonists in obesity: a comprehensive review of randomised controlled trials. Int J Mol Sci. 2023;24(13):10449. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Rubino DM, Greenway FL, Khalid U, O’Neil PM, Rosenstock J, Sørrig R, et al. STEP 8 investigators. Effect of weekly subcutaneous semaglutide vs daily liraglutide on body weight in adults with overweight or obesity without diabetes: the STEP 8 randomized clinical trial. JAMA. 2022;327(2):138–50. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Moiz A, Levett JY, Filion KB, Peri K, Reynier P, Eisenberg MJ. Long-term efficacy and safety of once-weekly semaglutide for weight loss in patients without diabetes: a systematic review and meta-analysis of randomized controlled trials. Am J Cardiol. 2024;222:121–30. [DOI] [PubMed] [Google Scholar]
  • 10. Lincoff AM, Brown-Frandsen K, Colhoun HM, Deanfield J, Emerson SS, Esbjerg S, et al. SELECT trial investigators. Semaglutide and cardiovascular outcomes in obesity without diabetes. N Engl J Med. 2023;389(24):2221–32. [DOI] [PubMed] [Google Scholar]
  • 11. Perkovic V, Tuttle KR, Rossing P, Mahaffey KW, Mann JFE, Bakris G, et al. FLOW trial committees and investigators. Effects of semaglutide on chronic kidney disease in patients with type 2 diabetes. N Engl J Med. 2024;391(2):109–21. [DOI] [PubMed] [Google Scholar]
  • 12. Sanyal AJ, Newsome PN, Kliers I, Østergaard LH, Long MT, Kjær MS, et al. Phase 3 trial of semaglutide in metabolic dysfunction-associated steatohepatitis. N Engl J Med. 2025;392(21):2089–99. [DOI] [PubMed] [Google Scholar]
  • 13. Carmina E, Longo RA. Semaglutide treatment of excessive body weight in obese PCOS patients unresponsive to lifestyle programs. J Clin Med. 2023;12(18):5921. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Liu Y, Nie D, Lou X. The cardiovascular benefits of glucagon-like Peptide-1 receptor agonists as novel diabetes drugs are mediated via the suppression of miR-203a-3p and miR-429 expression. DNA Cell Biol. 2024;43(8):387–94. [DOI] [PubMed] [Google Scholar]
  • 15. Friedman RC, Farh KK, Burge CB, Bartel DP. Most Mammalian mRNAs are conserved targets of microRNAs. Genome Res. 2009;19(1):92–105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Zhang T, Lv C, Li L, Chen S, Liu S, Wang C, et al. Plasma miR-126 is a potential biomarker for early prediction of type 2 diabetes mellitus in susceptible individuals. Biomed Res Int. 2013;2013:761617. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Yan S, Wang T, Huang S, Di Y, Huang Y, Liu X, et al. Differential expression of microRNAs in plasma of patients with prediabetes and newly diagnosed type 2 diabetes. Acta Diabetol. 2016;53(5):693–702. [DOI] [PubMed] [Google Scholar]
  • 18. Poy MN, Hausser J, Trajkovski M, Braun M, Collins S, Rorsman P, et al. miR-375 maintains normal pancreatic alpha-and beta-cell mass. Proc Natl Acad Sci U S A. 2009;106(14):5813–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Zhao E, Keller MP, Rabaglia ME, Oler AT, Stapleton DS, Schueler KL, et al. Obesity and genetics regulate microRNAs in islets, liver, and adipose of diabetic mice. Mamm Genome. 2009;20(8):476–85. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Tsai WC, Hsu SD, Hsu CS, Lai TC, Chen SJ, Shen R, et al. MicroRNA-122 plays a critical role in liver homeostasis and hepatocarcinogenesis. J Clin Investig. 2012;122(8):2884–97. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Ding J, Li M, Wan X, Jin X, Chen S, Yu C, et al. Effect of miR-34a in regulating steatosis by targeting PPARα expression in nonalcoholic fatty liver disease. Sci Rep. 2015;5:13729. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. He Z, Hu C, Jia W. miRNAs in non-alcoholic fatty liver disease. Front Med. 2016;10(4):389–96. [DOI] [PubMed] [Google Scholar]
  • 23. Shang J, Li J, Keller MP, Hohmeier HE, Wang Y, Feng Y, et al. Induction of miR-132 and miR-212 expression by glucagon-like peptide 1 (GLP-1) in rodent and human pancreatic β-Cells. Mol Endocrinol. 2015;29(9):1243–53. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Capuani B, Pacifici F, Della-Morte D, Lauro D. Glucagon like peptide 1 and MicroRNA in metabolic diseases: focusing on GLP1 action on miRNAs. Front Endocrinol. 2018;9:719. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Miao X, Davoudi M, Alitotonchi Z, Ahmadi ES, Amraee F, Alemi A, et al. Managing cardiovascular events, hyperglycemia, and obesity in type 2 diabetes through microRNA regulation linked to glucagon-like peptide-1 receptor agonists. Diabetol Metab Syndr. 2025;17(1):13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Ruseva A, Michalak W, Zhao Z, Fabricatore A, Hartaigh BÓ, Umashanker D, et al. Semaglutide 2.4 mg clinical outcomes in patients with obesity or overweight in a real-world setting: a 6-month retrospective study in the United States (SCOPE). Obes Sci Pract. 2024;10(1):e737. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Wang B, Zhong J, Lin H, Zhao Z, Yan Z, He H, et al. Blood pressure-lowering effects of GLP-1 receptor agonists exenatide and liraglutide: a meta-analysis of clinical trials. Diabetes Obes Metab. 2013;15(8):737–49. [DOI] [PubMed] [Google Scholar]
  • 28. Formichi C, Fignani D, Nigi L, Grieco GE, Brusco N, Licata G, et al. Circulating microRNAs signature for predicting response to GLP1-RA therapy in type 2 diabetic patients: a pilot study. Int J Mol Sci. 2021;22(17):9454. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Coco E, Vanni I. Exosome miRNA profiling with the agilent miRNA microarray platform (application note). 2019. Retrieved from Agilent website: https://www.agilent.com/cs/library/applications/5994-0777EN.pdf
  • 30. Kern F, Aparicio-Puerta E, Li Y, Fehlmann T, Kehl T, Wagner V, et al. miRTargetLink 2.0—interactive miRNA target gene and target pathway networks. Nucleic Acids Res. 2021;49(W1):W409–16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Szklarczyk D, Gable AL, Lyon D, Junge A, Wyder S, Huerta-Cepas J, et al. STRING v11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets. Nucleic Acids Res. 2019;47(D1):D607–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Li R, Ye Z, She D, Fang P, Zong G, Hu K, et al. Semaglutide may alleviate hepatic steatosis in T2DM combined with NFALD mice via miR-5120/ABHD6. Drug Des Devel Ther. 2022;16:3557–72. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Sánchez-Ceinos J, Rangel-Zuñiga OA, Clemente-Postigo M, Podadera-Herreros A, Camargo A, Alcalá-Diaz JF, et al. miR-223-3p as a potential biomarker and player for adipose tissue dysfunction preceding type 2 diabetes onset. Mol Ther Nucleic Acids. 2021;23:1035–52. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Willeit P, Skroblin P, Kiechl S, Fernández-Hernando C, Mayr M. Liver microRNAs: potential mediators and biomarkers for metabolic and cardiovascular disease? Eur Heart J. 2016;37(43):3260–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Wen J, Huang Z, Wei Y, Xue L, Wang Y, Liao J, et al. Hsa-microRNA-27b-3p inhibits hepatocellular carcinoma progression by inactivating transforming growth factor-activated kinase-binding protein 3/nuclear factor kappa B signalling. Cell Mol Biol Lett. 2022;27(1):79. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Sassi Y, Avramopoulos P, Ramanujam D, Grüter L, Werfel S, Giosele S, et al. Cardiac myocyte miR-29 promotes pathological remodeling of the heart by activating Wnt signaling. Nat Commun. 2017;8(1):1614. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Kwon JJ, Factora TD, Dey S, Kota J. A systematic review of miR-29 in cancer. Mol Ther Oncolytics. 2019;12:173–94. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Yang H, Zhang W, Luan Q, Liu Y. miR-4284 promotes cell proliferation, migration, and invasion in non-small cell lung cancer cells and is associated with postoperative prognosis. Cancer Manag Res. 2021;13:5865–72. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Cheng X, Kan P, Ma Z, Wang Y, Song W, Huang C, et al. Exploring the potential value of miR-148b-3p, miR-151b and miR-27b-3p as biomarkers in acute ischemic stroke. Biosci Rep. 2018;38(6):BSR20181033. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Ivashchenko A, Berillo O, Pyrkova A, Niyazova R. Binding sites of miR-1273 family on the mRNA of target genes. Biomed Res Int. 2014;2014:620530. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Zhou Y, An H, Wu G. MicroRNA-6071 suppresses glioblastoma progression through the inhibition of PI3K/AKT/mTOR pathway by binding to ULBP2. Onco Targets Ther. 2020;13:9429–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Yan L, Li Q, Sun K, Jiang F. MiR-4644 is upregulated in plasma exosomes of bladder cancer patients and promotes bladder cancer progression by targeting UBIAD1. Am J Transl Res. 2020;12(10):6277–89. [PMC free article] [PubMed] [Google Scholar]
  • 43. Veie CHB, Nielsen IMT, Frisk NLS, Dalgaard LT. Extracellular microRNAs in relation to weight Loss-A systematic review and meta-analysis. Noncoding RNA. 2023;9(5):53. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Jayasooriya V, Johnson N, Bradley A, Kotarsky C, Jepng’etich L, Friesner D, et al. A miniaturized MicroRNA sensor identifies targets associated with weight loss in a diet and exercise intervention among healthy overweight individuals. Sensors. 2022;22(18):6758. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. Wang M, Xue Q, Li X, Krohn K, Ziesche S, Ceglarek U, et al. Circulating levels of microRNA-122 and hepatic fat change in response to weight-loss interventions: CENTRAL trial. J Clin Endocrinol Metab. 2022;107(5):e1899–906. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Parr EB, Camera DM, Burke LM, Phillips SM, Coffey VG, Hawley JA. Circulating MicroRNA responses between ‘High’ and ‘Low’ responders to a 16-Wk diet and exercise weight loss intervention. PLoS One. 2016;11(4):e0152545. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

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

Data Availability Statement

The data that support the findings of this study are not publicly available due to legal and privacy restrictions; but these data are available from the corresponding author upon reasonable request.


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