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Skip to main content TOP BAR NAVIGATION Frontiers in Endocrinology About us About us * Who we are * Mission * Values * History * Leadership * Awards * Impact and progress * Frontiers' impact * Progress Report 2022 * All progress reports * Publishing model * How we publish * Open access * Fee policy * Peer review * Research integrity * Research Topics * Services * Societies * National consortia * Institutional partnerships * Collaborators * More from Frontiers * Frontiers Forum * Frontiers Planet Prize * Press office * Carbon footprint * Career opportunities * Contact us All journalsAll articles Submit your research Search Login Frontiers in Endocrinology Sections Sections * Adrenal Endocrinology * Bone Research * Cancer Endocrinology * Cardiovascular Endocrinology * Cellular Endocrinology * Clinical Diabetes * Developmental Endocrinology * Diabetes: Molecular Mechanisms * Endocrinology of Aging * Experimental Endocrinology * Gut Endocrinology * Molecular and Structural Endocrinology * Neuroendocrine Science * Obesity * Pediatric Endocrinology * Pituitary Endocrinology * Renal Endocrinology * Reproduction * Systems Endocrinology * Thyroid Endocrinology * Translational and Clinical Endocrinology ArticlesResearch TopicsEditorial board About journal About journal * Scope * Field chief editors * Mission & scope * Facts * Journal sections * Open access statement * Copyright statement * Quality * For authors * Why submit? * Article types * Author guidelines * Editor guidelines * Publishing fees * Submission checklist * Contact editorial office About us About us * Who we are * Mission * Values * History * Leadership * Awards * Impact and progress * Frontiers' impact * Progress Report 2022 * All progress reports * Publishing model * How we publish * Open access * Fee policy * Peer review * Research integrity * Research Topics * Services * Societies * National consortia * Institutional partnerships * Collaborators * More from Frontiers * Frontiers Forum * Frontiers Planet Prize * Press office * Carbon footprint * Career opportunities * Contact us All journalsAll articles Submit your research Frontiers in Endocrinology Sections Sections * Adrenal Endocrinology * Bone Research * Cancer Endocrinology * Cardiovascular Endocrinology * Cellular Endocrinology * Clinical Diabetes * Developmental Endocrinology * Diabetes: Molecular Mechanisms * Endocrinology of Aging * Experimental Endocrinology * Gut Endocrinology * Molecular and Structural Endocrinology * Neuroendocrine Science * Obesity * Pediatric Endocrinology * Pituitary Endocrinology * Renal Endocrinology * Reproduction * Systems Endocrinology * Thyroid Endocrinology * Translational and Clinical Endocrinology ArticlesResearch TopicsEditorial board About journal About journal * Scope * Field chief editors * Mission & scope * Facts * Journal sections * Open access statement * Copyright statement * Quality * For authors * Why submit? * Article types * Author guidelines * Editor guidelines * Publishing fees * Submission checklist * Contact editorial office Frontiers in Endocrinology Sections Sections * Adrenal Endocrinology * Bone Research * Cancer Endocrinology * Cardiovascular Endocrinology * Cellular Endocrinology * Clinical Diabetes * Developmental Endocrinology * Diabetes: Molecular Mechanisms * Endocrinology of Aging * Experimental Endocrinology * Gut Endocrinology * Molecular and Structural Endocrinology * Neuroendocrine Science * Obesity * Pediatric Endocrinology * Pituitary Endocrinology * Renal Endocrinology * Reproduction * Systems Endocrinology * Thyroid Endocrinology * Translational and Clinical Endocrinology ArticlesResearch TopicsEditorial board About journal About journal * Scope * Field chief editors * Mission & scope * Facts * Journal sections * Open access statement * Copyright statement * Quality * For authors * Why submit? * Article types * Author guidelines * Editor guidelines * Publishing fees * Submission checklist * Contact editorial office Submit your research Search Login Download article * Download PDF * ReadCube * EPUB * XML (NLM) Supplemental data SHARE ON * * * Export citation * EndNote * Reference Manager * Simple Text file * BibTex 17,2K Total views 5,7K Downloads 62 Citations Citation numbers are available from Dimensions View article impact View altmetric score SHARE ON * * * Edited by Luigi Santacroce University of Bari Aldo Moro, Italy Reviewed by Xin Hai Department of Pharmacy, First Affiliated Hospital of Harbin Medical University, China Marialetizia RASTELLI Université de Lille, France Wang Zhiyuan Peking University, China Table of contents * Abstract * Introduction * Methods * Results * Discussion * Conclusion * Data availability statement * Ethics statement * Author contributions * Funding * Acknowledgments * Conflict of interest * Publisher’s note * Supplementary material * References Supplemental data Export citation * EndNote * Reference Manager * Simple Text file * BibTex Check for updates PEOPLE ALSO LOOKED AT GASTROINTESTINAL ADVERSE EVENTS ASSOCIATED WITH SEMAGLUTIDE: A PHARMACOVIGILANCE STUDY BASED ON FDA ADVERSE EVENT REPORTING SYSTEM Yamin Shu, Xucheng He, Pan Wu, Yanxin Liu, Yufeng Ding and Qilin Zhang GLP-1 RECEPTOR AGONIST-ASSOCIATED TUMOR ADVERSE EVENTS: A REAL-WORLD STUDY FROM 2004 TO 2021 BASED ON FAERS Zheng Yang, Yuhuan Lv, Meng Yu, Mei Mei, Linyu Xiang, Subei Zhao and Rong Li THE POTENTIAL ANTIDEPRESSANT EFFECT OF ANTIDIABETIC AGENTS: NEW INSIGHTS FROM A PHARMACOVIGILANCE STUDY BASED ON DATA FROM THE REPORTING SYSTEM DATABASES FAERS AND VIGIBASE Vera Battini, Robbert P. Van Manen, Michele Gringeri, Giulia Mosini, Greta Guarnieri, Anna Bombelli, Marco Pozzi, Maria Nobile, Sonia Radice, Emilio Clementi and Carla Carnovale ASSOCIATIONS OF METAL EXPOSURE WITH HYPERURICEMIA AND GOUT IN GENERAL ADULTS Jing Xu, Xu Zhu, Rutai Hui, Yujie Xing, Junkui Wang, Shuang Shi, Yong Zhang and Ling Zhu PANCREATIC ADVERSE EVENTS ASSOCIATED WITH IMMUNE CHECKPOINT INHIBITORS: A LARGE-SCALE PHARMACOVIGILANCE ANALYSIS Yue Zhang, Yisheng Fang, Jianhua Wu, Genjie Huang, Jianping Bin, Yulin Liao, Min Shi, Wangjun Liao and Na Huang SUPPLEMENTARY MATERIAL * Table 1.DOCX ORIGINAL RESEARCH ARTICLE Front. Endocrinol., 06 December 2022 Sec. Gut Endocrinology Volume 13 - 2022 | https://doi.org/10.3389/fendo.2022.1043789 This article is part of the Research Topic Endocrine Disruptors in Gut Endocrinology View all 4 articles ASSOCIATION BETWEEN DIFFERENT GLP-1 RECEPTOR AGONISTS AND GASTROINTESTINAL ADVERSE REACTIONS: A REAL-WORLD DISPROPORTIONALITY STUDY BASED ON FDA ADVERSE EVENT REPORTING SYSTEM DATABASE Lulu Liu1,2Jia Chen1,3Lei Wang2Chen Chen4Li Chen1,5* * 1Department of Pharmacy and Evidence-Based Pharmacy Center, West China Second University Hospital, Sichuan University, Chengdu, China * 2School of Pharmaceutical Science and Technology, Tianjin University, Tianjin, China * 3Department of Pharmacy, Sichuan Provincial People’s Hospital Jinniu Hospital, Chengdu, China * 4West China School of Pharmacy, Sichuan University, Chengdu, China * 5Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Chengdu, China Objective: Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) have significantly improved clinical effects on glycemic control. However, real-world data concerning the difference in gastrointestinal adverse events (AEs) among different GLP-1 RAs are still lacking. Our study aimed to characterize and compare gastrointestinal AEs among different marketed GLP-1 RAs (exenatide, liraglutide, dulaglutide, lixisenatide, and semaglutide) based on real-world data. Methods: Disproportionality analysis was used to evaluate the association between GLP-1 RAs and gastrointestinal adverse events. Data were extracted from the US FDA Adverse Event Reporting System (FAERS) database between January 2018 and September 2022. Clinical characteristics, the time-to-onset, and the severe proportion of GLP-1 RAs-associated gastrointestinal AEs were further analyzed. Results: A total of 21,281 reports of gastrointestinal toxicity were analyzed out of 81,752 adverse event reports, and the median age of the included patients was 62 (interquartile range [IQR] 54–70) years old. Overall GLP-1 RAs were associated with increased risk of gastrointestinal system disorders (ROR, 1.46; 95% CI, 1.44–1.49), which were further attributed to liraglutide (ROR, 2.39; 95% CI, 2.28–2.51), dulaglutide (ROR, 1.39; 95% CI, 1.36-1.42), and semaglutide (ROR, 3.00; 95% CI, 2.89–3.11). Adverse events uncovered in the labels included gastroesophageal reflux disease, gastritis, bezoar, breath odor, intra-abdominal hematoma, etc. Furthermore, it was observed that semaglutide had the greatest risk of nausea (ROR, 7.41; 95% CI, 7.10–7.74), diarrhea (ROR, 3.55; 95% CI, 3.35–3.77), vomiting (ROR, 6.67; 95% CI, 6.32–7.05), and constipation (ROR, 6.17; 95% CI, 5.72–6.66); liraglutide had the greatest risk of abdominal pain upper (ROR, 4.63; 95% CI, 4.12–5.21) and pancreatitis (ROR, 32.67; 95% CI, 29.44–36.25). Most gastrointestinal AEs tended to occur within one month. Liraglutide had the highest severe rate of gastrointestinal AEs (23.31%), while dulaglutide had the lowest, with a severe rate of 12.29%. Conclusion: GLP-1 RA were significantly associated with gastrointestinal AEs, and the association was further attributed to liraglutide, dulaglutide, and semaglutide. In addition, semaglutide had the greatest risk of nausea, diarrhea, vomiting, constipation, and pancreatitis, while liraglutide had the greatest risk of upper abdominal pain. Our study provided valuable evidence for selecting appropriate GLP-1 RAs to avoid the occurrence of GLP-1 RA-induced gastrointestinal AEs. INTRODUCTION According to the reports of the International Diabetes Federation, there were 537 million patients with diabetes worldwide in 2021, and the prevalence of diabetes was estimated at 10.5% (1). Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) have been increasingly recommended in the treatment of type 2 diabetes (T2DM) due to their favorable effects on improving glycemic control and reducing the risk of cardiovascular events (2, 3). GLP-1RAs lower the blood glucose of patients with diabetes through transient glucose-dependent stimulation of insulin, and suppression of glucagon secretion and gastric emptying (4, 5). So far, a total of seven GLP-1 RAs, including exenatide, liraglutide, albiglutide, dulaglutide, lixisenatide, semaglutide, and tirzepatide, have been approved by the US Food and Drug Administration (FDA) for treatment of T2DM. With the extensive use of GLP-1 RAs, adverse drug reaction (ADR) reports are increasing gradually, which has attracted the attention of clinicians and drug administrations. The most frequently reported adverse events (AEs) of GLP-1 RAs were gastrointestinal adverse drug reactions, including nausea, vomiting, and abdominal pain, which were closely related to activation of central and peripheral GLP-1 receptors (6, 7). In a recent network meta-analysis, overall GLP-1 RAs significantly increased the incidence of gastrointestinal AEs compared with placebo or conventional treatment, and the odds ratios for nausea, vomiting and diarrhea from GLP-1 RAs were 11.8 (95% CI, 2.89–46.9), 51.7 (95% CI, 7.07–415), and 4.93 (95% CI, 1.75–14.7), respectively (8). Other meta-analyses have also reported similar results (6, 9–11). Moreover, some gastrointestinal adverse reactions with low incidence but severe consequences are also notable. Some observational studies showed that treatment with GLP-1 RAs was associated with an increased OR value (2.24–29.4) of pancreatitis (12–14). However, the differences in gastrointestinal toxicities among different GLP-1 RAs are still not known. These problems pose concerns for physician about how to choose the safest and most appropriate medication therapy. In addition, there have been no recent systematic review updates, and further research on the seriousness and time-to-onset of various GLP-1-related gastrointestinal AEs is needed. Thus, this study aimed to characterize and compare gastrointestinal AEs of different marketed GLP-1RAs based on real-world data to provide evidence for physicians on the safety profiles of various GLP-1 RAs and how to choose the most appropriate GLP-1 RA medication. METHODS DATA SOURCES This retrospective pharmacovigilance study was conducted based on the FDA Adverse Event Reporting System (FAERS) database. FAERS is a publicly available post-marketing safety surveillance database that contains adverse event reports, medication error reports, and product quality complaints reported by health professionals, pharmaceutical manufacturers, lawyers, and individual patients (15, 16). Although FAERS is a US database, it receives AEs reports from all over the world. Therefore, the large size and global coverage of this open database make it particularly suitable for the analysis of spontaneous data reporting (15). FAERS database includes the following eight types of files: demographic and administrative information (DEMO), drug information (DRUG), adverse events (REAC), patient outcomes (OUTC), report sources (RPSR), start and end dates for reported drugs (THER), indications for use (INDI), and invalid reports (DELETED). All files recorded “primaryid” and “caseid” variables; therefore, the information about patients and AEs could be obtained by linking these variables in all files. DRUG and THER files recorded “drug_seq” variables; therefore, information about drug use and therapy could be obtained by linking “drug_seq” variables in these two files. All files are available at the FDA website (https://fis.fda.gov/extensions/FPDQDE-FAERS/FPD-QDE-FAERS.html). All reports between 1 January 2018 and 30 June 2022 were extracted for this analysis. We chose 2018 as the starting year because the most recent approved GLP-1 RA (semaglutide) except for tirzepatide was marketed in 2017, and the ending date was set as the most recent quarter when data were available. The study period was also the data analysis period, given that our research was a cross-sectional study. During the study period, a total of 7,927,000 reports were retrieved from the FAERS database. According to FDA’s recommendations, a two-step deduplication process was used to ensure the unique report: 1) selecting the higher “primaryid” when the “caseid” and “fda_dt” were the same, 2) selecting the latest “fda_dt” when “caseid” were the same, where “primaryid” was an unique number for identifying a AE report, “caseid” was an unique number for identifying a case, and “fda_dt” was the date when FDA received a case (17). Then, the expurgated data from the DELETED file was downloaded from FAERS to delete the invalid reports, finally reducing the number of reports to 6,803,529 (Figure 1). FIGURE 1 Figure 1 The flow diagram of selecting GLP-1 RA-associated AEs from FAERS database. FAERS is a publicly available and anonymous database. Therefore, approval and written informed consent were waived by the ethics review board of the Ethical Committee of West China Second University Hospital of Sichuan University. DATA EXTRACTION The generic and brand names of GLP-1 RAs approved by the FDA were used to identify adverse events of GLP-1 RAs in the DRUG files, including exenatide (BYETTA, BYDUREON), liraglutide (VICTOZA, SAXENDA), dulaglutide (TRULICITY), lixisenatide (ADLYXIN, SOLIQUA), and semaglutide (OZEMPIC, RYBELSUS, WEGOVY). Of note, albiglutide (TANZEUM) and tirzepatide (MOUNJARO) were not included in our study, given that albiglutide has been discontinued in the United States market since 26 July 2017, and tirzepatide was approved by the FDA in May 2022. The data for tirzepatide were too immature to support the analysis. The summary of approval dates for these GLP-1RAs is listed in Supplementary Table 1. The AEs in REAC files are encoded by the preferred terms (PTs) in the Medical Dictionary for Regulatory Activities (MedDRA) terminology, which is comprised of 27 system organ classes (SOCs) (16). The structural hierarchy of MedDRA terminology has five levels: SOC (system organ class), HLGT (high level group term), HLT (high level term), PT (preferred term), and LLT (lowest level term) (17). Accordingly, the latest version of MedDRA 25.0 was used to classify AEs in reports at the relevant SOC level. In our study, all GLP-1 RA-induced PTs were analyzed, and we found that gastrointestinal AEs were most frequently reported in GLP-1 RAs. Therefore, the PTs of GLP-1 RAs below the SOC for gastrointestinal system disorders (SOC: 10017947) were analyzed. Gastrointestinal-related AEs were defined by 905 PTs, including nausea, vomiting, etc. The role codes for AEs had been assigned by reporters, including primary suspected (PS), secondary suspected drug (SS), concomitant (C), and interacting (I). To guarantee GLP-1 RAs were most likely to cause AEs during drug use, analysis reports were limited to those in which the “role_cod” of the drug was “PS” (primary suspected) in the DRUG files (18). Demographics (gender, age), reporting characteristics (reporting region, year, occupation of reporters), and indications of reports of GLP-1 RA-associated gastrointestinal toxicities were analyzed. In addition, we calculated the time-to-onset of gastrointestinal AEs and the proportion of AE outcomes that were caused by different GLP-1 RAs. The calculation method of time-to-onset is the interval between the start time of GLP-1 RAs’ utilization and the time of AE occurrence (19). Reports with date errors (drug use time later than event occurrence time) and missing date data were excluded. Severe outcomes included death (grade 5), life-threatening conditions (grade 4), and outcomes causing hospitalization, disability, or a congenital anomaly (grade 3) (20). The proportion of reports with severe outcomes was calculated by dividing the number of reports with severe outcomes by the total number of reports. DATA MINING AND STATISTICAL ANALYSIS All characteristics and outcome measures of AE reports regarding GLP-1 RAs were evaluated descriptively. Categorical variables were reported as frequencies and percentages, and continuous variables were summarized as means and standard deviations or medians with interquartile ranges depending on the data distribution. A disproportionality analysis model was performed to detect the potential signals of gastrointestinal AEs caused by GLP-1 RAs at both the class level and the drug generic name level (21). When a target drug is more likely to induce a target AE than all other drugs, it will typically get a higher score due to higher disproportionality (e.g., when semaglutide causes more gastrointestinal AEs than other drugs, it will get a higher disproportionality score) (21). Both frequentist methods (reporting odds ratio [ROR] (22) and proportional reporting ratio [PRR] (23)) and Bayesian methods (information component [IC] (24) and empirical Bayes geometric mean [EBGM] (25)) of disproportionality analysis were applied to investigate the association between a gastrointestinal AE and GLP-1 RAs. The equations and corresponding criteria of the four disproportionality algorithms are listed in Supplementary Table 2. To improve the reliability of signals and avoid occurring false positive signals, a signal was regarded as positive only when it met all criteria of four algorithms simultaneously (26). Then, the signal strength of the top six most frequently reported gastrointestinal AEs of overall GLP-1 RAs in the FAERS database was ranked among different GLP-A RAs, and the top six AEs are nausea, vomiting, diarrhea, upper abdominal pain, constipation, and pancreatitis, respectively. A Kruskal–Wallis test was performed to compare the time-to-onset of gastrointestinal outcomes in different GLP-1 RAs. The severe proportion of gastrointestinal events in different GLP-1 RAs was compared using Fisher’s exact test or Pearson’s chi-squared test. Two-sided P-values of <0.05 were considered statistically significant. Data extraction was conducted by MySQL 8.0, and statistical analyses were performed using R 4.10. RESULTS DESCRIPTIVE ANALYSIS From January 2018 to June 2022, a total of 231,730 GLP-1 RA-associated AEs reports were recorded, of which 21,281 reports of gastrointestinal AEs were identified. Of these, 1,956 gastrointestinal reports were for exenatide (9.19%), 2,891 for liraglutide (13.58%), 10,757 for dulaglutide (50.55%), 182 for lixisenatide (0.86%), and 5,567 (26.16%) for semaglutide (Figure 1). The characteristics of AE reports for different GLP-1 RAs are presented in Table 1. More male patients reported gastrointestinal AEs from GLP-1 RAs (54.19%). The median age (interquartile range) of patients was 62 (54–70) years. The region with the highest number of reports was North America (91.40%), followed by Europe (4.10%), and Asia (2.55%). The number of gastrointestinal AEs steadily increased from 4,163 in 2018 to 5,048 in 2021, which reflected the increasingly clinical application of GLP-1 RAs. These AEs were mainly reported by consumers (74.28%) and physicians (11.04%). Gastrointestinal AEs were most frequently reported for unknown indications (50.37%) and diabetes mellitus (41.07%). The median time-to-onset of gastrointestinal AEs was 1 (IQR 0–24) days, and 77.44% of the AEs occurred within 30 days after excluding invalid reports. Outcomes causing hospitalization, disability, or a congenital anomaly (2,933, 13.78%) account for the most frequent outcomes in all cases. TABLE 1 Table 1 The characteristics of GLP-1 RAs-associated gastrointestinal reports. AE SIGNALS ASSOCIATED WITH DIFFERENT GLP-1 RAS All adverse events signals of GLP-1 RAs were detected by using four algorithms and their corresponding criteria. A total of 619 positive signal for GLP-1 RAs were observed, and the most AEs of positive signal were distributed in gastrointestinal system (Figure 2). FIGURE 2 Figure 2 Proportion of positive signal for different GLP-1 RAs in system organ level. Within the SOC level, gastrointestinal system disorders in overall GLP-1 RAs were overreported compared with the background frequency (ROR 1.46, PRR 1.33, IC 0.41, EBGM 1.33), which were further attributed to liraglutide (ROR 2.39, PRR 1.84, IC 0.88, EBGM 1.33), dulaglutide (ROR 1.39, PRR 1.28, IC 0.36, EBGM 1.25), and semaglutide (ROR 3.00, PRR 2.10, IC 1.07, EBGM 2.10), while exenatide (ROR 0.57, PRR 0.63, IC −0.68, EBGM 0.63) and lixisenatide (ROR 0.51, PRR 0.57, IC −0.81, EBGM 0.57) did not show the association with gastrointestinal AEs (Table 2). TABLE 2 Table 2 Signal detection for GLP-1 RAs-associated gastrointestinal adverse events. Furthermore, the positive signals of gastrointestinal AEs were classified as PT level (Supplementary Table 3). The top six most common gastrointestinal reports were nausea (8,988, 42.23%), diarrhea (4,666, 21.93%), vomiting (4,660, 21.90%), upper abdominal pain (2,082, 9.78%), constipation (1,790, 8.41%), and pancreatitis (1,752, 8.23%). All gastrointestinal AEs in the label of GLP-1 RAs were found in our study, which confirmed the reliability of this study. However, there were five disproportional signals that were not covered on the label that were detected for liraglutide (gastroesophageal reflux disease, gastritis, bezoar, breath odor, and intra-abdominal hematoma), one for dulaglutide (duodenogastric reflux), and three for semaglutide (breath odor, pancreatic failure, and mesenteric panniculitis). Simultaneously, the signals of the top six common gastrointestinal AEs (nausea, diarrhea, vomiting, upper abdominal pain, constipation, and pancreatitis) for different GLP-1 RAs were detected and compared (Table 3). The results showed that semaglutide had the greatest risk of nausea (ROR, 7.41; 95% CI, 7.10–7.74), diarrhea (ROR, 3.55; 95% CI, 3.35–3.77), vomiting (ROR, 6.67; 95% CI, 6.32–7.05), and constipation (ROR, 6.17; 95% CI, 5.72–6.66); liraglutide had the greatest risk of upper abdominal pain (ROR, 4.63; 95% CI, 4.12–5.21). In addition, it was observed that use of any GLP-1 RA was associated with the risk of pancreatitis, and the signal strength of pancreatitis was ranked as follows: liraglutide (ROR, 32.67; 95% CI, 29.44–36.25) > semaglutide (ROR, 19.10, 95% CI, 17.26–21.13) > dulaglutide (ROR, 12.63; 95% CI, 11.76–13.56) > lixisenatide (ROR, 6.78; 95% CI 4.26–10.80) > exenatide (ROR, 4.91; 95% CI, 4.12–5.85). TABLE 3 Table 3 The difference of signal strength in the top six most frequently reported gastrointestinal adverse events among different GLP-1 RAs. TIME-TO-ONSET AND SEVERE PROPORTION The time-to-onset of gastrointestinal system disorders for each GLP-1 RA regimen is shown in Table 4. The result showed the time-to-onset of GLP-1 RAs had a statistical difference (p <0.001, Kruskal–Wallis χ2 = 109.90). The longest median time-to-onset was 4 (IQR 0–40) days for semaglutide, while the shortest was 0 (IQR 0–11) day for lixisenatide, 1 (IQR 0–19.75) day for exenatide, 1 (IQR 0–7) day for dulaglutide, and 3 (IQR 0–36.75) days for liraglutide, respectively. TABLE 4 Table 4 Time-to-onset of GLP-1 RA-associated gastrointestinal AEs. To explore the prognosis of patients with gastrointestinal AEs after using GLP-1 RAs, this study evaluated the outcome of reports by severe proportions of outcomes. The corresponding results were presented in Table 1 and Figure 3, and they showed a statistical difference in the severe proportions of GLP-1 RA-related gastrointestinal AEs among different GLP-1 RAs (p <0.001, Pearson’s χ2 = 11,227). In all GLP-1 RAs, liraglutide (23.31%, 657 severe outcomes out of 2,819 cases) had the highest severe proportion of GLP-1 RA-associated gastrointestinal AEs, and the lowest for dulaglutide (12.29%, 1,322 severe outcomes out of 9,435 cases). FIGURE 3 Figure 3 The case severe rate for GLP-1 RA-related gastrointestinal AEs. DISCUSSION In this large real-world study, we found that GLP-1RAs are associated with an increased risk of gastrointestinal AEs, which were mainly attributed to liraglutide, dulaglutide, and semaglutide. The most frequently reported GLP-1 RA-induced gastrointestinal AE was nausea (8,988, 42.23%), diarrhea (4,666, 21.93%), and vomiting (4,660, 21.90%) in FAERS. This is consistent with prior studies, and a system review reported that ADRs of GLP-1 RAs tend to arise from the gastrointestinal system, with nausea, diarrhea, and vomiting occurring in up to 51%, 20%, and 19% of patients, respectively (27). These gastrointestinal AEs are related to the inhibition effect of GLP1-RAs on delay in gastric emptying and stimulation of neural circuitry (9, 28, 29). In our study, semaglutide had the highest risk for nausea (ROR, 7.41; 95% CI, 7.10–7.74), vomiting (ROR, 6.67; 95% CI, 6.32–7.05), diarrhea (ROR, 3.55; 95% CI, 3.35–3.77), and constipation (ROR, 6.17; 95% CI, 5.72–6.66) when compared with background drugs. Semaglutide is a new generation of long-acting GLP-1RAs with a longer half-life than liraglutide after subcutaneous administration (183 vs 11–15 h) (30). Hence, the effects of gastrointestinal motility and neural circuitry of semaglutide may be more significant compared with those using other GLP-1 RAs. Our results were similar to those of previous studies, which reported that semagulutide had a higher risk of nausea, vomiting, diarrhea, and constipation compared with liraglutide (15). Physician and patients have been expressed the concerns regarding a possible association of GLP-1 RAs treatment with pancreatitis. In our study, pancreatitis were the same disproportionality signals for all different GLP-1 RAs. These results were similar with prior studies. A cohort study revealed an increased risk of pancreatitis, and 36% of patients who used GLP-1 RAs or DPP- 4 inhibitors had elevated serum amylase or lipase (or both) levels compared with 18% of patients not taking these agents (31). Another case-control study showed that the use of incretin-mimetic therapies within 30 days (OR: 2.24, 95% CI: 1.36–3.68), or ranging from 30 days to 2 years was associated with an increased risk of acute pancreatitis (OR: 2.01, 95% CI: 1.37–3.18) compared with nonusers. Our study found that the signal strength of pancreatitis for different GLP-1 RA was ranked as following: liraglutide (ROR = 32.67) > semaglutide (ROR = 19.10) > dulaglutide (ROR = 12.63) > lixisenatide (ROR = 6.78) > exenatide (ROR = 4.91). It is suggested that patients being at risk of pancreatitis should not use any GLP-1 RAs, especially for liraglutide and semaglutide. Our studies showed GLP-1 RA-associated gastrointestinal toxicities occurred 30 days (3,234, 77.44%) after the initiation of GLP-1RAs, and the median time-to-onset was 1 (IQR 0–24) days with a significant difference between different GLP-1 RA regimens. A systematic review was consistent with our results: gastrointestinal toxicities tended to occur early after treatment initiation with fluctuation over time, both in a type 2 diabetic population and a more general population (9). Time-to-onset analysis of gastrointestinal AEs may have been dependent upon the pharmacokinetic and pharmacodynamic properties of different GLP-1RAs. A “start low, go slow” strategy when initiating GLP-1 receptor agonists may reduce the likelihood of patients experiencing these events (32). To further assess the severity of gastrointestinal AEs related to different GLP-1RAs, the severe proportion was compared among different GLP-1RA treatments. We observed that the severe rates had statistical significance in different GLP1- RAs. It was worth noting that liraglutide had the highest severe rate (23.31%, 657/2,819). Therefore, physicians should pay close attention to the health status of patients after AEs to avoid the progression to severe outcomes. LEADER trial showed that 32.2% patients experienced severe AEs in the liraglutide group for 4.5 years follow-up period, while these AE not only limited to gastrointestinal (33). Although our study had significant advantages based on the FAERS database and data mining technology, there were also some limitations inherent to its observational design. First, the FAERS database is a self-reporting system with reporting randomness (e.g., existing selective, incomplete, inaccurate, untimely, and unverified reporting) and massive missing data (e.g., age and dosage). It is difficult to consider some confounders (such as dosage, duration of use, comorbidities, and drug combinations) that may influence the occurrence of gastrointestinal toxicity. Second, because the FAERS only contains cases with adverse events, the total number of patients receiving GLP-1RA treatment was low. Hence, the incidence rate of gastrointestinal AEs associated with GLP-1RA use cannot be estimated. Third, we focus only on gastrointestinal toxicity, and the deep relationship between GLP-1RAs and other system organ classes remains unknown. Further clinical trials or observational studies are needed to confirm our results. Finally, disproportionality analysis based on FAERS showed neither causality nor quantified risk due to the lack of pharmacological mechanism study but only showed an evaluation of the signal strength, which was just a statistical association (34). Like other pharmacovigilance studies, Frequentist and Bayesian are indexes of increased risk in AE reports, whether a causality exists and needs to be further validated by basic research. CONCLUSION We explored the relationship between GLP-1 RAs and gastrointestinal AEs from various perspectives and quantified the potential risks based on a comprehensive and systematic retrospective analysis of the FAERS database. GLP-1 RAs were significantly associated with gastrointestinal AEs, and the association was further attributed to liraglutide, dulaglutide, and semaglutide. In addition, semaglutide had the greatest risk of nausea, diarrhea, vomiting, constipation, and pancreatitis, while liraglutide had the greatest risk when it came to upper abdominal pain. Furthermore, the time-to-onset and severe outcomes of GLP-1 RAs-induced gastrointestinal AEs were also discussed, which was helpful for clinical practice and drug monitoring to a certain extent. Our study provided valuable evidence for early clinical interventions and the identification of the risk of gastrointestinal toxicities. DATA AVAILABILITY STATEMENT The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation. ETHICS STATEMENT Ethical approval was not provided for this study on human participants because FAERS (FDA Adverse Event Reporting System) is publicly available and anonymous database, so approval and written informed consent were waived by the ethics review board of the Ethical Committee of West China Second University Hospital of Sichuan University. Written informed consent from the participants’ legal guardian/next of kin was not required to participate in this study in accordance with the national legislation and the institutional requirements. AUTHOR CONTRIBUTIONS LC and LL contributed to conception and study design, and took responsibility for the collection, integrity, and accuracy of the data. All authors drafted the manuscript, participated in data analyses and interpretation, and revisions of the manuscript and approved the final version. FUNDING This study was supported by a grant from the National Natural Science Foundation of China (No. 82073921). ACKNOWLEDGMENTS All authors thank the US Food and Drug Administration Adverse Event Reporting System for using their database. 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. PUBLISHER’S NOTE All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher. SUPPLEMENTARY MATERIAL The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fendo.2022.1043789/full#supplementary-material REFERENCES 1. Sun H, Saeedi P, Karuranga S, Pinkepank M, Ogurtsova K, Duncan BB, et al. Idf diabetes atlas: Global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045. Diabetes Res Clin Pract (2022) 183:109119. doi: 10.1016/j.diabres.2021.109119 PubMed Abstract | CrossRef Full Text | Google Scholar 2. Nauck MA, Quast DR, Wefers J, Meier JJ. Glp-1 receptor agonists in the treatment of type 2 diabetes - state-of-the-Art. Mol Metab (2021) 46:101102. doi: 10.1016/j.molmet.2020.101102 PubMed Abstract | CrossRef Full Text | Google Scholar 3. Sheahan KH, Wahlberg EA, Gilbert MP. An overview of glp-1 agonists and recent cardiovascular outcomes trials. Postgrad Med J (2020) 96(1133):156–61. doi: 10.1136/postgradmedj-2019-137186 PubMed Abstract | CrossRef Full Text | Google Scholar 4. Gupta V. Glucagon-like peptide-1 analogues: An overview. Indian J Endocrinol Metab (2013) 17(3):413–21. doi: 10.4103/2230-8210.111625 PubMed Abstract | CrossRef Full Text | Google Scholar 5. Drucker DJ, Nauck MA. The incretin system: Glucagon-like peptide-1 receptor agonists and dipeptidyl peptidase-4 inhibitors in type 2 diabetes. Lancet (2006) 368(9548):1696–705. doi: 10.1016/s0140-6736(06)69705-5 PubMed Abstract | CrossRef Full Text | Google Scholar 6. Rayner CK, Wu T, Aroda VR, Whittington C, Kanters S, Guyot P, et al. Gastrointestinal adverse events with insulin Glargine/Lixisenatide fixed-ratio combination versus glucagon-like peptide-1 receptor agonists in people with type 2 diabetes mellitus: A network meta-analysis. Diabetes Obes Metab (2021) 23(1):136–46. doi: 10.1111/dom.14202 PubMed Abstract | CrossRef Full Text | Google Scholar 7. Horowitz M, Aroda VR, Han J, Hardy E, Rayner CK. Upper and/or lower gastrointestinal adverse events with glucagon-like peptide-1 receptor agonists: Incidence and consequences. Diabetes Obes Metab (2017) 19(5):672–81. doi: 10.1111/dom.12872 PubMed Abstract | CrossRef Full Text | Google Scholar 8. Sun F, Chai S, Yu K, Quan X, Yang Z, Wu S, et al. Gastrointestinal adverse events of glucagon-like peptide-1 receptor agonists in patients with type 2 diabetes: A systematic review and network meta-analysis. Diabetes Technol Ther (2015) 17(1):35–42. doi: 10.1089/dia.2014.0188 PubMed Abstract | CrossRef Full Text | Google Scholar 9. Bettge K, Kahle M, Abd El Aziz MS, Meier JJ, Nauck MA. Occurrence of nausea, vomiting and diarrhoea reported as adverse events in clinical trials studying glucagon-like peptide-1 receptor agonists: A systematic analysis of published clinical trials. Diabetes Obes Metab (2017) 19(3):336–47. doi: 10.1111/dom.12824 PubMed Abstract | CrossRef Full Text | Google Scholar 10. Zaazouee MS, Hamdallah A, Helmy SK, Hasabo EA, Sayed AK, Gbreel MI, et al. Semaglutide for the treatment of type 2 diabetes mellitus: A systematic review and network meta-analysis of safety and efficacy outcomes. Diabetes Metab Syndr (2022) 16(6):102511. doi: 10.1016/j.dsx.2022.102511 PubMed Abstract | CrossRef Full Text | Google Scholar 11. Wu S, Chai S, Yang J, Cai T, Xu Y, Yang Z, et al. Gastrointestinal adverse events of dipeptidyl peptidase 4 inhibitors in type 2 diabetes: A systematic review and network meta-analysis. Clin Ther (2017) 39(9):1780–9.e33. doi: 10.1016/j.clinthera.2017.07.036 PubMed Abstract | CrossRef Full Text | Google Scholar 12. Chis BA, Fodor D. Acute pancreatitis during glp-1 receptor agonist treatment. A case report. Clujul Med (2018) 91(1):117–9. doi: 10.15386/cjmed-804 PubMed Abstract | CrossRef Full Text | Google Scholar 13. Li L, Shen J, Bala MM, Busse JW, Ebrahim S, Vandvik PO, et al. Incretin treatment and risk of pancreatitis in patients with type 2 diabetes mellitus: Systematic review and meta-analysis of randomised and non-randomised studies. Bmj (2014) 348:g2366. doi: 10.1136/bmj.g2366 PubMed Abstract | CrossRef Full Text | Google Scholar 14. Faillie JL, Babai S, Crépin S, Bres V, Laroche ML, Le Louet H, et al. Pancreatitis associated with the use of glp-1 analogs and dpp-4 inhibitors: A Case/Non-case study from the French pharmacovigilance database. Acta Diabetol (2014) 51(3):491–7. doi: 10.1007/s00592-013-0544-0 PubMed Abstract | CrossRef Full Text | Google Scholar 15. Zhou Y, Chen M, Liu L, Chen Z. Difference in gastrointestinal risk associated with use of glp-1 receptor agonists: A real-world pharmacovigilance study. Diabetes Metab Syndr Obes (2022) 15:155–63. doi: 10.2147/dmso.S348025 PubMed Abstract | CrossRef Full Text | Google Scholar 16. Omar NE, Fahmy Soliman AI, Eshra M, Saeed T, Hamad A, Abou-Ali A. Postmarketing safety of anaplastic lymphoma kinase (Alk) inhibitors: An analysis of the fda adverse event reporting system (Faers). ESMO Open (2021) 6(6):100315. doi: 10.1016/j.esmoop.2021.100315 PubMed Abstract | CrossRef Full Text | Google Scholar 17. Mascolo A, Scavone C, Ferrajolo C, Rafaniello C, Danesi R, Del Re M, et al. Immune checkpoint inhibitors and cardiotoxicity: An analysis of spontaneous reports in eudravigilance. Drug Saf (2021) 44(9):957–71. doi: 10.1007/s40264-021-01086-8 PubMed Abstract | CrossRef Full Text | Google Scholar 18. Moore DC, Elmes JB, Arnall JR, Strassels SA, Patel JN. Acquired thrombotic thrombocytopenic purpura associated with immune checkpoint inhibitors: A real-world study of the fda adverse event reporting system. Int Immunopharmacol (2022) 110:109015. doi: 10.1016/j.intimp.2022.109015 PubMed Abstract | CrossRef Full Text | Google Scholar 19. Al-Yafeai Z, Ghoweba M, Ananthaneni A, Abduljabar H, Aziz D. Cardiovascular complications of modern multiple myeloma therapy: A pharmacovigilance study. Br J Clin Pharmacol (2022). doi: 10.1111/bcp.15499 PubMed Abstract | CrossRef Full Text | Google Scholar 20. Huang J, Zhao Y, Cao Y, Zhang Q, Ran D, Li J, et al. Anaplastic lymphoma kinase tyrosine kinase inhibitors associated gastrointestinal obstruction, perforation, and ulceration: An analysis of the fda adverse event reporting system database (Faers). Int J Clin Pharm (2022) 44(4):993–1003. doi: 10.1007/s11096-022-01425-4 PubMed Abstract | CrossRef Full Text | Google Scholar 21. Ye X, Hu F, Zhai Y, Qin Y, Xu J, Guo X, et al. Hematological toxicities in immune checkpoint inhibitors: A pharmacovigilance study from 2014 to 2019. Hematol Oncol (2020) 38(4):565–75. doi: 10.1002/hon.2743 PubMed Abstract | CrossRef Full Text | Google Scholar 22. van Puijenbroek EP, Bate A, Leufkens HG, Lindquist M, Orre R, Egberts AC. A comparison of measures of disproportionality for signal detection in spontaneous reporting systems for adverse drug reactions. Pharmacoepidemiol Drug Saf (2002) 11(1):3–10. doi: 10.1002/pds.668 PubMed Abstract | CrossRef Full Text | Google Scholar 23. Evans SJ, Waller PC, Davis S. Use of proportional reporting ratios (Prrs) for signal generation from spontaneous adverse drug reaction reports. Pharmacoepidemiol Drug Saf (2001) 10(6):483–6. doi: 10.1002/pds.677 PubMed Abstract | CrossRef Full Text | Google Scholar 24. Bate A, Lindquist M, Edwards IR, Olsson S, Orre R, Lansner A, et al. A Bayesian neural network method for adverse drug reaction signal generation. Eur J Clin Pharmacol (1998) 54(4):315–21. doi: 10.1007/s002280050466 PubMed Abstract | CrossRef Full Text | Google Scholar 25. Szarfman A, Machado SG, O'Neill RT. Use of screening algorithms and computer systems to efficiently signal higher-Than-Expected combinations of drugs and events in the us fda's spontaneous reports database. Drug Saf (2002) 25(6):381–92. doi: 10.2165/00002018-200225060-00001 PubMed Abstract | CrossRef Full Text | Google Scholar 26. Shu Y, Ding Y, He X, Liu Y, Wu P, Zhang Q. Hematological toxicities in parp inhibitors: A real-world study using fda adverse event reporting system (Faers) database. Cancer Med (2022). doi: 10.1002/cam4.5062 CrossRef Full Text | Google Scholar 27. Filippatos TD, Panagiotopoulou TV, Elisaf MS. Adverse effects of glp-1 receptor agonists. Rev Diabetes Stud (2014) 11(3-4):202–30. doi: 10.1900/rds.2014.11.202 CrossRef Full Text | Google Scholar 28. Kanoski SE, Hayes MR, Skibicka KP. Glp-1 and weight loss: Unraveling the diverse neural circuitry. Am J Physiol Regul Integr Comp Physiol (2016) 310(10):R885–95. doi: 10.1152/ajpregu.00520.2015 PubMed Abstract | CrossRef Full Text | Google Scholar 29. Rehfeld JF, Knop FK, Asmar M. Gastrin secretion in normal subjects and diabetes patients is inhibited by glucagon-like peptide 1: A role in the gastric side effects of glp-1-Derived drugs? Scand J Gastroenterol (2019) 54(12):1448–51. doi: 10.1080/00365521.2019.1690673 PubMed Abstract | CrossRef Full Text | Google Scholar 30. Christou GA, Katsiki N, Blundell J, Fruhbeck G, Kiortsis DN. Semaglutide as a promising antiobesity drug. Obes Rev (2019) 20(6):805–15. doi: 10.1111/obr.12839 PubMed Abstract | CrossRef Full Text | Google Scholar 31. Lando HM, Alattar M, Dua AP. Elevated amylase and lipase levels in patients using glucagonlike peptide-1 receptor agonists or dipeptidyl-Peptidase-4 inhibitors in the outpatient setting. Endocr Pract (2012) 18(4):472–7. doi: 10.4158/ep11290.Or PubMed Abstract | CrossRef Full Text | Google Scholar 32. Li S, Vandvik PO, Lytvyn L, Guyatt GH, Palmer SC, Rodriguez-Gutierrez R, et al. Sglt-2 inhibitors or glp-1 receptor agonists for adults with type 2 diabetes: A clinical practice guideline. Bmj (2021) 373:n1091. doi: 10.1136/bmj.n1091 PubMed Abstract | CrossRef Full Text | Google Scholar 33. Marso SP, Daniels GH, Brown-Frandsen K, Kristensen P, Mann JF, Nauck MA, et al. Liraglutide and cardiovascular outcomes in type 2 diabetes. N Engl J Med (2016) 375(4):311–22. doi: 10.1056/NEJMoa1603827 PubMed Abstract | CrossRef Full Text | Google Scholar 34. Abdel-Wahab N, Shah M, Suarez-Almazor ME. Adverse events associated with immune checkpoint blockade in patients with cancer: A systematic review of case reports. PLoS One (2016) 11(7):e0160221. doi: 10.1371/journal.pone.0160221 PubMed Abstract | CrossRef Full Text | Google Scholar Keywords: GLP-1 receptor agonists, gastrointestinal toxicities, adverse drug reactions, pharmacovigilance, data mining Citation: Liu L, Chen J, Wang L, Chen C and Chen L (2022) Association between different GLP-1 receptor agonists and gastrointestinal adverse reactions: A real-world disproportionality study based on FDA adverse event reporting system database. Front. Endocrinol. 13:1043789. doi: 10.3389/fendo.2022.1043789 Received: 14 September 2022; Accepted: 21 November 2022; Published: 07 December 2022. Edited by: Luigi Santacroce, University of Bari Aldo Moro, Italy Reviewed by: Marialetizia Rastelli, Université de Lille, France Wang Zhiyuan, Peking University, China Xin Hai, First Affiliated Hospital of Harbin Medical University, China Copyright © 2022 Liu, Chen, Wang, Chen and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. *Correspondence: Li Chen, chenl_hxey@scu.edu.cn Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. 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