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Review Article Mechanism of GLP-1 Receptor Agonists-Mediated Attenuation of Palmitic Acid-Induced Lipotoxicity in L6 Myoblasts Mo-wei Kong ,1 Yu Gao ,1 Yu-yu Xie,2 En-hong Xing,1 Li-xin Sun,1 Hui-juan Ma ,3 and Han-ying Xing3 1Department of Endocrinology, Affiliated Hospital of Chengde Medical University, 36 Nanyingzi Street, Shuangqiao District, Chengde City, Hebei Province, China 2Department of Dermatology, Chengdu Fifth People’s Hospital, 33 Ma Shi Street, Wenjiang District, Chengdu City, Sichuan Province, China 3Department of Endocrinology, Hebei Provincial People’s Hospitall, No. 348, Heping West Road, Xinhua District, Shijiazhuang City, Hebei Province, China Correspondence should be addressed to Yu Gao; yugao815@163.com Received 16 June 2022; Revised 8 October 2022; Accepted 2 December 2022; Published 28 December 2022 Academic Editor: Richard K.D. Ephraim Copyright © 2022 Mo-wei Kong et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Object. L6 cells were cultured to explore the possible mechanism underlying the improvement of insulin resistance by Liraglutide (LR). Methods. Cells were divided into 5 groups—control, high-fat, 10 nmol/L LR + 0:6mmol/L palmitic acid (PA) (10LR), 100 nmol/L LR + 0:6mmol/L PA (100LR), and 1000 nmol/L LR + 0:6mmol/L PA (1000LR). CCK-8 method to detect cell viability, GPO-PAP enzymatic method to detect intracellular triglyceride content, and reverse transcription quantitative real- time polymerase chain reaction (RT-qPCR) and western blotting methods to detect fatty acid translocase CD36 (FAT/CD36) and fatty acid binding protein 4 (FABP4) in L6 cells, glucose-regulated protein 78 (GRP78), glucose transporter 4 (GLUT4) expression at the mRNA and protein levels, respectively, were performed. Results. We found that after PA intervention for 24 h, the cell viability decreased significantly; the cell viability of the LR group was higher than that of the high-fat group (Pto a density of 9 × 104 cells/mL and transferred into wells of 96-well plates, 100μL per well, and incubated at 37°C for 48 h. Following interventions, 10μL of CCK-8 reagent was added to each well, and the plates were placed at 37°C for 1 h. The optical density (OD) was measured at 450nm using a microplate reader (BD680 type automatic microplate reader Bio Rad company, USA). Stimulation index SI = ðODvalue of each stimulated well −ODvalue of mediumÞ/ðODvalue of unstimulated well −ODvalue of mediumÞ. 2.6. Lipid Deposition. Lipid deposition was measured using an Oil Red O Staining Kit (Solarbio Life Sciences; Beijing, China). Cells were washed twice with PBS, fixed with 4% paraformaldehyde for 15min; washed twice with PBS, pre- treated with 60% isopropanol for 20 s, and washed twice with PBS after 30min shading, and separated with 60% iso- propanol for 5 s, and then washed twice with PBS. After the staining area was calibrated and normalized using Image J image processing software, the data were counted. Stained cells were photographed with an inverted microscope (Tu Ming Company, Shanghai, China) within 2 h of staining. 2.7. Triglyceride Content. Intracellular triglyceride content was quantified using a Triglyceride (TG) Content Assay Kit (Solarbio Life Sciences; Beijing, China) according to the manufacturer’s protocol. 2.8. mRNA Expression. Total RNA was extracted from treated cells using kit (TIANGEN Biochemical Technology Company, Beijing, China) according to the manufacturer’s protocol. The gene expression levels were measured by reverse transcription quantitative real-time PCR using Load- ing Buffer PCR Master Mix (TIANGEN Biochemical Tech- nology Company). Primers were synthesized by GeneCopoeia (Rockville MD, USA; Table 1). Cycling condi- tions were as follows: 95°C for 10min; 40 cycles of 60°C for 20 s, and 70°C for 10 s. Amplification was carried out on a Cobasz 480 (Roche Company, Switzerland) to confirm the amplification curve, dissolution curve, and Ct value using 2-ΔΔCt to calculate the mRNA expression of the target gene. 2.9. Protein Expression. Protein expression was quantified using western blotting with GAPDH as the internal refer- ence. Protein samples were separated by polyacrylamide gel 2 BioMed Research International electrophoresis, transferred to a nitrocellulose membrane, and the membranes blocked with milk for 1 h and probed overnight at 4°C with primary antibodies. The antibodies used were as follows: The immunoreactive bands were separated by polyacryl- amide gel electrophoresis, transferred to a nitrocellulose membrane, and blocking repeated. Membranes were washed, probed overnight at 4°C with sheep anti-rabbit (GRP78, FAT/CD36, FABP4, and GLUT4) or sheep anti- rat (GAPDH) secondary antibodies. Immunoreactive bands were detected using chemiluminescence reagent (TIANGEN Biochemical Technology Company) according to the manu- facturer’s instructions. Protein expression was quantified using an enzyme labeling instrument (BD 680 automatic microplate reader) at 570nm. 2.10. Statistical Analyses. All data are expressed as means ± standard deviation (n = 3). Statistical significance was assessed using Fisher LSD t-tests, and single factor ANOVA; correlations were determined using linear correlation. SPSS 20.0 (IBM Corp; Armonk NY, USA) was used for statistical analysis, and GraphPad Prism 6.01 (GraphPad Software; La Jolla CA, USA) was used for graphic analysis. Statistical sig- nificance was set at P 0:05), but both the 100LR (average SI = 2:64) and 1000LR (average SI = 2:50) groups had higher cell viability (PGroup GRP78 mRNA FABP4 mRNA FAT/CD36 mRNA GLUT4 mRNA Contol group 1 ± 0:00 1 ± 0:00 1 ± 0:00 1 ± 0:00 High fat group 8:15 ± 0:35a 2:46 ± 0:08a 8:29 ± 0:52a 0:34 ± 0:03a 10LR group 6:83 ± 0:11b 2:28 ± 0:06 3:23 ± 0:11b 0:47 ± 0:06b 100LR group 5:52 ± 0:48bc 1:24 ± 0:06bc 2:42 ± 0:11b 0:50 ± 0:04b 1000LR group 4:36 ± 0:32bd 1:00 ± 0:04bd 2:88 ± 0:55b 0:75 ± 0:04b aPsummary, LR reduced the ERS response and intracel- lular lipid deposition, improved lipid metabolism, and downregulated the expression of GRP78, FAT/CD36, and FABP4 mRNA and protein in muscle cells with PA- induced lipotoxicity. In addition, LR improved the state of IR by regulating the expression of GLUT4 in the insulin transduction pathway. This study gives insight into how LR improves IR and provides theoretical support for its clin- ical application. 5. Limitation There are also some limitations in our experiments. Some experiments can be added as proof of the result: (1) cell via- bility assays have been performed but apoptosis assays like Annexin V assay or Hoechst assay can be performed to visu- alize the percent of cells undergoing apoptosis with palmitic acid and liraglutide treatment [31–33]. (2) ORO staining has been performed to measure the lipid deposition but semi- quantification of the lipid droplets in ORO staining or counting the ORO positive cells in each group can be per- formed to determine the differences between each group [34]. (3) Lipid deposition could be verified at mRNA and protein levels using perilipin as a marker to provide addi- tional support to the results [35]. Data Availability All data are fully available without restriction. Conflicts of Interest The authors declare that there are no conflicts of interest. Authors’ Contributions This article involves cooperation between multiple depart- ments. 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Yang et al., “Liraglutide improves hepatic insulin resistance via the canonical Wnt signaling pathway,” Molecular Medicine Reports, vol. 17, no. 5, pp. 7372–7380, 2018. 8 BioMed Research International Mechanism of GLP-1 Receptor Agonists-Mediated Attenuation of Palmitic Acid-Induced Lipotoxicity in L6 Myoblasts 1. Introduction 2. Materials and Methods 2.1. Materials 2.2. Cell Culture 2.3. Palmitic Acid-Supplemented Culture Medium 2.4. Interventions 2.5. Cell Viability 2.6. Lipid Deposition 2.7. Triglyceride Content 2.8. mRNA Expression 2.9. Protein Expression 2.10. Statistical Analyses 3. Results 3.1. Cell Viability 3.2. Triglyceride Content 3.3. Lipid Deposition 3.4. mRNA Expression 3.5. Protein Expression 3.6. Correlations 4. Discussion 5. Limitation Data Availability Conflicts of Interest Authors’ Contributions Acknowledgments