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Duan F, Wu J, Chang J, Peng H, Liu Z, Liu P, Han X, Sun T, Shang D, Yang Y, Li Z, Li P, Liu Y, Zhu Y, Lv Y, Guo X, Zhao Y, An Y. Deciphering endocrine function of adipose tissue and its significant influences in obesity-related diseases caused by its dysfunction. Differentiation 2025; 141:100832. [PMID: 39709882 DOI: 10.1016/j.diff.2024.100832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2024] [Revised: 12/15/2024] [Accepted: 12/16/2024] [Indexed: 12/24/2024]
Abstract
Current research has found that adipose tissue is not only involved in energy metabolism, but also a highly active endocrine organ that secretes various adipokines, including adiponectin, leptin, resistin and apelin, which are involved in the regulation of physiology and pathology of tissues and organs throughout the body. With the yearly increasing incidence, obesity has become a risk factor for a variety of pathological changes, including inflammation and metabolic syndrome in various system (endocrine, circulatory, locomotor and central nervous system). Thus these symptoms lead to multi-organ dysfunctions, including the heart, liver, kidneys, brain and joints. An in-depth summary of the roles of adipokines in the regulation of other tissues and organs can help to provide more effective therapeutic strategies for obesity-related diseases and explore potential therapeutic targets. Therefore, this review has retrospected the endocrine function of adipose tissue under obesity and the role of dysregulated adipokine secretion in related diseases and the underlying mechanisms, in order to provide a theoretical basis for targeting adipokine-mediated systemic dysregulation.
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Affiliation(s)
- Feiyi Duan
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China; Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, Henan University, Kaifeng, 475004, China
| | - Jiaoyan Wu
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China; Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, Henan University, Kaifeng, 475004, China
| | - Jiayi Chang
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China; Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, Henan University, Kaifeng, 475004, China
| | - Haoyuan Peng
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China; Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, Henan University, Kaifeng, 475004, China
| | - Zitao Liu
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China; Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, Henan University, Kaifeng, 475004, China
| | - Pengfei Liu
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China; Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, Henan University, Kaifeng, 475004, China
| | - Xu Han
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China; School of Stomatology, Henan University, Kaifeng, 475004, China
| | - Tiantian Sun
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China; School of Stomatology, Henan University, Kaifeng, 475004, China
| | - Dandan Shang
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China; Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, Henan University, Kaifeng, 475004, China
| | - Yutian Yang
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China; Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, Henan University, Kaifeng, 475004, China
| | - Zhihao Li
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China; Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, Henan University, Kaifeng, 475004, China
| | - Pengkun Li
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China; Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, Henan University, Kaifeng, 475004, China
| | - Yixuan Liu
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China; Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, Henan University, Kaifeng, 475004, China
| | - Yonghao Zhu
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China; School of Stomatology, Henan University, Kaifeng, 475004, China
| | - Yunzhi Lv
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China; School of Stomatology, Henan University, Kaifeng, 475004, China
| | - Xiumei Guo
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China; Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, Henan University, Kaifeng, 475004, China
| | - Ying Zhao
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China; Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, Henan University, Kaifeng, 475004, China
| | - Yang An
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China; Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, Henan University, Kaifeng, 475004, China.
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Shingu Y, Yokota I, Shichinohe T, Murakami S, Ebihara Y, Kurashima Y, Hirano S, Wakasa S. Incidence of atrial fibrillation after esophageal cancer surgery with L-carnitine use: a preliminary single-group interventional study. Surg Today 2024; 54:892-898. [PMID: 38388906 DOI: 10.1007/s00595-024-02802-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 12/22/2023] [Indexed: 02/24/2024]
Abstract
PURPOSE We aimed to investigate the POAF rate and blood FABP4 levels after perioperative L-carnitine administration in patients with esophageal cancer. METHODS L-carnitine (3 g in three divided doses) was administered to 15 patients 2 days before and 3 days after surgery. POAF during the study period and blood FABP4 levels (ELISA) before and after L-carnitine administration were evaluated. Accurate 95% confidence intervals (CI) for POAF incidence and changes in blood FABP4 levels were calculated. The preoperative predicted POAF rate was calculated using an application for esophageal cancer. The correlation between FABP4 levels and the predicted POAF rate was analyzed using Pearson's coefficient (r). RESULTS Thirteen patients completed this study. The predicted POAF rate was 24% (17%, 34%) (median; interquartile range). The actual incidence of POAF was 7.7% (95% CI: 0.2-36%). Blood FABP4 levels changed from 10.3 to 7.0 ng/mL; the average change was - 3.3 (95% CI: - 6.6 to - 0.1). A positive correlation was found between preoperative FABP4 levels and the predicted POAF rates (r = 0.564). CONCLUSIONS The POAF rate after esophageal surgery was 7.7% for L-carnitine. L-carnitine may reduce blood FABP4 levels. This preliminary study will contribute to the planning of sample sizes in future randomized trials.
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Affiliation(s)
- Yasushige Shingu
- Department of Cardiovascular Surgery, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Kita-15, Nishi-7, Kita-ku, Sapporo, Japan.
| | - Isao Yokota
- Department of Biostatistics, Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Toshiaki Shichinohe
- Department of Gastroenterology Surgery II, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Soichi Murakami
- Department of Gastroenterology Surgery II, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Yuma Ebihara
- Department of Gastroenterology Surgery II, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Yo Kurashima
- Department of Gastroenterology Surgery II, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Satoshi Hirano
- Department of Gastroenterology Surgery II, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Satoru Wakasa
- Department of Cardiovascular Surgery, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Kita-15, Nishi-7, Kita-ku, Sapporo, Japan
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Wang J, Sun L, You J, Peng H, Yan H, Wang J, Sun F, Cui M, Wang S, Zhang Z, Fan X, Liu D, Liu C, Qiu C, Chen C, Xu Z, Chen J, Li W, Liu B. Role and mechanism of PVN-sympathetic-adipose circuit in depression and insulin resistance induced by chronic stress. EMBO Rep 2023; 24:e57176. [PMID: 37870400 DOI: 10.15252/embr.202357176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 09/29/2023] [Accepted: 10/09/2023] [Indexed: 10/24/2023] Open
Abstract
Chronic stress induces depression and insulin resistance, between which there is a bidirectional relationship. However, the mechanisms underlying this comorbidity remain unclear. White adipose tissue (WAT), innervated by sympathetic nerves, serves as a central node in the interorgan crosstalk through adipokines. Abnormal secretion of adipokines is involved in mood disorders and metabolic morbidities. We describe here a brain-sympathetic nerve-adipose circuit originating in the hypothalamic paraventricular nucleus (PVN) with a role in depression and insulin resistance induced by chronic stress. PVN neurons are labelled after inoculation of pseudorabies virus (PRV) into WAT and are activated under restraint stress. Chemogenetic manipulations suggest a role for the PVN in depression and insulin resistance. Chronic stress increases the sympathetic innervation of WAT and downregulates several antidepressant and insulin-sensitizing adipokines, including leptin, adiponectin, Angptl4 and Sfrp5. Chronic activation of the PVN has similar effects. β-adrenergic receptors translate sympathetic tone into an adipose response, inducing downregulation of those adipokines and depressive-like behaviours and insulin resistance. We finally show that AP-1 has a role in the regulation of adipokine expression under chronic stress.
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Affiliation(s)
- Jing Wang
- Department of Rehabilitation, Binzhou Medical University Hospital, Binzhou, China
- Department of Neurology, Binzhou Medical University Hospital, Binzhou, China
- Medical Research Center, Binzhou Medical University Hospital, Binzhou, China
| | - Linshan Sun
- Department of Neurology, Binzhou Medical University Hospital, Binzhou, China
| | - Jingjing You
- Department of Rehabilitation, Binzhou Medical University Hospital, Binzhou, China
- Department of Neurology, Binzhou Medical University Hospital, Binzhou, China
- Medical Research Center, Binzhou Medical University Hospital, Binzhou, China
| | - Honghai Peng
- Department of Neurosurgery, Central Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Haijing Yan
- Medical Research Center, Binzhou Medical University Hospital, Binzhou, China
- Department of Pharmacology, College of Basic Medicine, Binzhou Medical University, Yantai, China
| | - Jiangong Wang
- Department of Rehabilitation, Binzhou Medical University Hospital, Binzhou, China
- Department of Neurology, Binzhou Medical University Hospital, Binzhou, China
- Medical Research Center, Binzhou Medical University Hospital, Binzhou, China
| | - Fengjiao Sun
- Department of Rehabilitation, Binzhou Medical University Hospital, Binzhou, China
- Department of Neurology, Binzhou Medical University Hospital, Binzhou, China
- Medical Research Center, Binzhou Medical University Hospital, Binzhou, China
| | - Minghu Cui
- Department of Psychiatry, Binzhou Medical University Hospital, Binzhou, China
| | - Sanwang Wang
- Department of Psychiatry, Binzhou Medical University Hospital, Binzhou, China
| | - Zheng Zhang
- Department of Psychiatry, Binzhou Youfu Hospital, Binzhou, China
| | - Xueli Fan
- Department of Neurology, Binzhou Medical University Hospital, Binzhou, China
| | - Dunjiang Liu
- Medical Research Center, Binzhou Medical University Hospital, Binzhou, China
| | - Cuilan Liu
- Medical Research Center, Binzhou Medical University Hospital, Binzhou, China
| | - Changyun Qiu
- Medical Research Center, Binzhou Medical University Hospital, Binzhou, China
| | - Chao Chen
- Department of Neurology, Binzhou Medical University Hospital, Binzhou, China
| | - Zhicheng Xu
- Medical Research Center, Binzhou Medical University Hospital, Binzhou, China
| | - Jinbo Chen
- Department of Neurology, Binzhou Medical University Hospital, Binzhou, China
| | - Wei Li
- Department of Rehabilitation, Binzhou Medical University Hospital, Binzhou, China
| | - Bin Liu
- Department of Rehabilitation, Binzhou Medical University Hospital, Binzhou, China
- Department of Neurology, Binzhou Medical University Hospital, Binzhou, China
- Medical Research Center, Binzhou Medical University Hospital, Binzhou, China
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Li Y, Xie Y, Qiu C, Yu B, Yang F, Cheng Y, Zhong W, Yuan J. Effects of L-carnitine supplementation on glucolipid metabolism: a systematic review and meta-analysis. Food Funct 2023; 14:2502-2517. [PMID: 36815696 DOI: 10.1039/d2fo02930h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Background: L-carnitine supplementation has been utilized against glucolipid metabolism disruption. However, to the best of our knowledge, no meta-analysis process has analyzed the effects of L-carnitine supplementation on insulin resistance, fasting blood glucose, lipid metabolism, and liver enzyme levels in adults. Methods: Through the analysis and screening of 12 221 studies, 15 studies were selected from eligible trials for meta-analysis. Meta-analysis was performed in a random effect model with heterogeneity determined by I2, and subgroup analyses were used to further identify the source of heterogeneity. Result: The results showed significant effects of L-carnitine on FBG (MD = -4.94 mg dL-1, 95% CI: -7.07 to -2.82), insulin (MD = -0.99 μU mL-1, 95% CI: -1.41 to -0.56), HOMA-IR (MD = -0.58, 95% CI: -0.77 to -0.38), TG (MD = -11.22 mg dL-1, 95% CI: -19.21 to -3.22), TC (MD = -6.45 mg dL-1, 95% CI: -9.95 to -2.95, LDLc (MD = -8.28 mg dL-1, 95% CI: -11.08 to -5.47), and ALT (MD = -19.71 IU L-1, 95% CI: -36.45 to -2.96). However, no significant effect of L-carnitine supplementation was observed in HDLc (MD = -0.77 mg dL-1, 95% CI: -0.10 to -1.63) or AST (MD = -11.05 IU L-1, 95% CI: -23.08 to 0.99). The duration of carnitine supplementation was negatively associated with mean differences in FBG, as assessed by meta-regression. Conclusion: The current meta-analysis revealed that L-carnitine may have favorable effects on glucolipid profile, especially insulin, FBG, HOMA-IR, TG, TC, LDLc, and ALT levels.
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Affiliation(s)
- Yanfei Li
- Department of Special Medicine, School of Basic Medicine, Qingdao University, Qingdao, China.
| | - Yuchen Xie
- Department of Special Medicine, School of Basic Medicine, Qingdao University, Qingdao, China.
| | - Chensheng Qiu
- Department of Orthopedic Surgery, Qingdao Municipal Hospital Group, Qingdao, China
| | - Bowen Yu
- Department of Special Medicine, School of Basic Medicine, Qingdao University, Qingdao, China.
| | - Fangzheng Yang
- Department of Special Medicine, School of Basic Medicine, Qingdao University, Qingdao, China.
| | - Yuanchao Cheng
- Department of Special Medicine, School of Basic Medicine, Qingdao University, Qingdao, China.
| | - Weizhen Zhong
- Human functional laboratory, School of Basic Medicine, Qingdao University, Qingdao, China
| | - Junhua Yuan
- Department of Special Medicine, School of Basic Medicine, Qingdao University, Qingdao, China.
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Zamani M, Pahlavani N, Nikbaf-Shandiz M, Rasaei N, Ghaffarian-Ensaf R, Asbaghi O, Shiraseb F, Rastgoo S. The effects of L-carnitine supplementation on glycemic markers in adults: A systematic review and dose-response meta-analysis. Front Nutr 2023; 9:1082097. [PMID: 36704801 PMCID: PMC9871499 DOI: 10.3389/fnut.2022.1082097] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 12/21/2022] [Indexed: 01/11/2023] Open
Abstract
Background and aims Hyperglycemia and insulin resistance are concerns today worldwide. Recently, L-carnitine supplementation has been suggested as an effective adjunctive therapy in glycemic control. Therefore, it seems important to investigate its effect on glycemic markers. Methods PubMed, Scopus, Web of Science, and the Cochrane databases were searched in October 2022 for prospective studies on the effects of L-carnitine supplementation on glycemic markers. Inclusion criteria included adult participants and taking oral L-carnitine supplements for at least seven days. The pooled weighted mean difference (WMD) was calculated using a random-effects model. Results We included the 41 randomized controlled trials (RCTs) (n = 2900) with 44 effect sizes in this study. In the pooled analysis; L-carnitine supplementation had a significant effect on fasting blood glucose (FBG) (mg/dl) [WMD = -3.22 mg/dl; 95% CI, -5.21 to -1.23; p = 0.002; I 2 = 88.6%, p < 0.001], hemoglobin A1c (HbA1c) (%) [WMD = -0.27%; 95% CI, -0.47 to -0.07; p = 0.007; I 2 = 90.1%, p < 0.001] and homeostasis model assessment-estimate insulin resistance (HOMA-IR) [WMD = -0.73; 95% CI, -1.21 to -0.25; p = 0.003; I 2 = 98.2%, p < 0.001] in the intervention compared to the control group. L-carnitine supplementation had a reducing effect on baseline FBG ≥100 mg/dl, trial duration ≥12 weeks, intervention dose ≥2 g/day, participants with overweight and obesity (baseline BMI 25-29.9 and >30 kg/m2), and diabetic patients. Also, L-carnitine significantly affected insulin (pmol/l), HOMA-IR (%), and HbA1c (%) in trial duration ≥12 weeks, intervention dose ≥2 g/day, and participants with obesity (baseline BMI >30 kg/m2). It also had a reducing effect on HOMA-IR in diabetic patients, non-diabetic patients, and just diabetic patients for insulin, and HbA1c. There was a significant nonlinear relationship between the duration of intervention and changes in FBG, HbA1c, and HOMA-IR. In addition, there was a significant nonlinear relationship between dose (≥2 g/day) and changes in insulin, as well as a significant linear relationship between the duration (weeks) (coefficients = -16.45, p = 0.004) of intervention and changes in HbA1C. Conclusions L-carnitine could reduce the levels of FBG, HbA1c, and HOMA-IR. Systematic review registration https://www.crd.york.ac.uk/prospero/, identifier: CRD42022358692.
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Affiliation(s)
- Mohammad Zamani
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Naseh Pahlavani
- Health Sciences Research Center, Torbat Heydariyeh University of Medical Sciences, Torbat-e Heydariyeh, Iran,Behbahan Faculty of Medical Sciences, Behbahan, Iran
| | | | - Niloufar Rasaei
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | | | - Omid Asbaghi
- Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran,Student Research Committee, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farideh Shiraseb
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran,*Correspondence: Farideh Shiraseb ✉
| | - Samira Rastgoo
- Student Research Committee, Shahid Beheshti University of Medical Sciences, Tehran, Iran,Department of Cellular and Molecular Nutrition, Faculty of Nutrition Science and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran,Samira Rastgoo ✉
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The regulatory role of SFRP5/WNT5A axis in allergic rhinitis through inhibiting JNK pathway activation and lowering mucin generation in human nasal epithelial cells. Exp Mol Pathol 2020; 118:104591. [PMID: 33285209 DOI: 10.1016/j.yexmp.2020.104591] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2020] [Revised: 09/17/2020] [Accepted: 12/01/2020] [Indexed: 12/29/2022]
Abstract
Allergic rhinitis (AR) is tightly associated with type 2 inflammation. SFRP5 combined with WNT5A mainly inhibits chronic inflammatory response, atherosclerosis, and other metabolic disorders. However, the effect of SFRP5/WNT5A axis on recombinant human interleukin-13 (rhIL-13)-induced inflammation has not been studied. In this study, we aimed to investigate whether secreted frizzled-related protein 5 (SFRP5) could modulate the production of cytokines relevant to eosinophil infiltration and mucin secretion through blocking the activation of Wnt family 5A (WNT5A) signaling pathway. A mouse model of AR demonstrated low expression of SFRP5 and high expression of WNT5A, and indicated that the number of eosinophil and goblet cells was increased, concomitant with elevated IL-13, colony stimulating factor 2 (CSF2), chemokine ligand 11 (CCL11), Mucin 4, and Mucin 5AC levels. Furthermore, lentivirus-SFRP5 overexpression up-regulated the expression of SFRP5 but down-regulated WNT5A level, and inhibited the activation of JNK pathway via decreasing p-JNK1/2 (Thr183/Tyr185) and p-c-Jun (Ser73) protein expressions in rhIL-13-treated human nasal epithelial cells (HNEpCs). Noticeably, SFRP5 overexpression markedly reduced rhIL-13-induced inflammatory protein and mucin generation through lowered CSF2, CCL11, Mucin 4, as well as Mucin 5AC levels. Taken together, these findings confirmed the regulatory role of SFRP5/WNT5A axis in rhIL-13-mediated inflammatory response in HNEpCs.
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