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Liu Q, Qin L, Liang Y, Xu M, Zhang J, Mo X, Tang X, Lu Y, Wang X, Cao J, Huang C, Rong J, Teng K, Zhao L, Wu S, Luo L, Guan Q, Zhang T, Jin W, Qin J, Cai J, Zhang Z. Correlations between growth differentiation factor 15 (GDF-15) serum levels and gene polymorphism with type 2 diabetes mellitus. Heliyon 2024; 10:e33044. [PMID: 38988547 PMCID: PMC11234026 DOI: 10.1016/j.heliyon.2024.e33044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 06/11/2024] [Accepted: 06/13/2024] [Indexed: 07/12/2024] Open
Abstract
Purpose To date, the relationship between Growth Differentiation Factor 15 (GDF-15) gene polymorphism and the risk of type 2 diabetes mellitus (T2DM) has not been clarified. Our study aims to explore the association between serum GDF-15 levels and related gene polymorphism with the risk of T2DM in a Chinese rural Yao population. Methods This was a 1:1 case-control study with 179 T2DM patients and 179 age- and sex-matched control participants. Serum GDF-15 levels were measured by enzyme-linked immunosorbent assay, and polymorphisms (rs1059519, rs1059369, rs1804826 and rs1054564) were genotyped by MassArray mass spectrometry. Results Serum GDF-15 (sGDF-15) levels were higher in patients with T2DM and glycosylated hemoglobin (HbA1c) ≥ 6.5 % compared to that in controls (p < 0.001). The area under the curve (AUC) corresponding to sGDF-15 levels was 0.626. Serum GDF-15 was positively correlated with fasting plasma glucose (FPG) (rs = 0.150, p < 0.001) and HbA1c (rs = 0.160, p < 0.001). The frequency of GDF-15 gene rs1054564 GC + CC genotype was significantly associated with increased risk of T2DM compared to GG genotype (OR = 1.724, 95CI: 1.046-2.841, p = 0.033). Frequencies of rs1804826 T allele (β additive = 113.318, p = 0.026) and rs1054564 C allele (β additive = 247.282, p = 0.001, β dominant = 286.109, p = 0.001) was significantly correlated with higher sGDF-15. The rs1059519 C allele was negatively correlated with FPG (β recessive = -0.607, p = 0.047) and HbA1c (β recessive = -0.456, p = 0.020). Conclusion Serum GDF-15 levels were positively correlated with FPG and HbA1c. The GDF-15 rs1054564 GC + CC genotype was associated with a significantly higher T2DM risk. The rs1059519 C allele was negatively correlated with FPG and HbA1c.
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Affiliation(s)
- Qiumei Liu
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, China
| | - Lidong Qin
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, China
| | - Yujian Liang
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, China
| | - Min Xu
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, China
| | - Junling Zhang
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, China
| | - Xiaoting Mo
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, China
| | - Xu Tang
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, China
| | - Yufu Lu
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, China
| | - Xuexiu Wang
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, China
| | - Jiejing Cao
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, China
| | - Chuwu Huang
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, China
| | - Jiahui Rong
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, China
| | - Kaisheng Teng
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, China
| | - Linhai Zhao
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, China
| | - Songju Wu
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, China
| | - Lei Luo
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, China
| | - Qinyi Guan
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, China
| | - TianTian Zhang
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, China
| | - Wenjia Jin
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, China
| | - Jian Qin
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, China
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, China
- Guangxi Key Laboratory of Environment and Health Research, Guangxi Medical University, Nanning, China
- Key Laboratory of Longevity and Aging-related Diseases of Chinese Ministry of Education, Guangxi Medical University, Nanning, China
| | - Jiansheng Cai
- Key Laboratory of Tumor Immunology and Microenvironmental Regulation, Guilin Medical University, Guilin, China
| | - Zhiyong Zhang
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, China
- Department of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, Guilin, China
- Guangxi Health Commission Key Laboratory of Entire Lifecycle Health and Care, Guilin Medical University, Guilin, China
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Tang Y, Liu T, Sun S, Peng Y, Huang X, Wang S, Zhou Z. Role and Mechanism of Growth Differentiation Factor 15 in Chronic Kidney Disease. J Inflamm Res 2024; 17:2861-2871. [PMID: 38741613 PMCID: PMC11090192 DOI: 10.2147/jir.s451398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 04/25/2024] [Indexed: 05/16/2024] Open
Abstract
GDF-15 is an essential member of the transforming growth factor-beta superfamily. Its functions mainly involve in tissue injury, inflammation, fibrosis, regulation of appetite and weight, development of tumor, and cardiovascular disease. GDF-15 is involved in various signaling pathways, such as MAPK pathway, PI3K/AKT pathway, STAT3 pathway, RET pathway, and SMAD pathway. In addition, several factors such as p53, ROS, and TNF-α participate the regulation of GDF-15. However, the specific mechanism of these factors regulating GDF-15 is still unclear and more research is needed to explore them. GDF-15 mainly improves the function of kidneys in CKD and plays an important role in the prediction of CKD progression and cardiovascular complications. In addition, the role of GDF-15 in the kidney may be related to the SMAD and MAPK pathways. However, the specific mechanism of these pathways remains unclear. Accordingly, more research on the specific mechanism of GDF-15 affecting kidney disease is needed in the future. In conclusion, GDF-15 may be a therapeutic target for kidney disease.
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Affiliation(s)
- Yifang Tang
- Department of Nephrology, the First Affiliated Hospital, Kunming Medical University, Kunming, People’s Republic of China
| | - Tao Liu
- Organ Transplantation Center, the First Affiliated Hospital, Kunming Medical University, Kunming, People’s Republic of China
| | - Shibo Sun
- Department of Pulmonary and Critical Care Medicine, First Affiliated Hospital, Kunming Medical University, Kunming, People’s Republic of China
| | - Youbo Peng
- Department of Nephrology, the First Affiliated Hospital, Kunming Medical University, Kunming, People’s Republic of China
| | - Xiaoxiao Huang
- Department of Nephrology, Xishuangbanna Dai Autonomous Prefecture People’s Hospital, Xishuangbanna, People’s Republic of China
| | - Shuangquan Wang
- Department of Nephrology, Xishuangbanna Dai Autonomous Prefecture People’s Hospital, Xishuangbanna, People’s Republic of China
| | - Zhu Zhou
- Department of Nephrology, the First Affiliated Hospital, Kunming Medical University, Kunming, People’s Republic of China
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Li X, Liu W, Wang Y, Zhao C, Zhu Q, Dong Z, Ma C. Incremental values of AOPP, IL-6, and GDF15 for identifying arteriosclerosis in patients with obstructive sleep apnea. Eur J Med Res 2024; 29:137. [PMID: 38378599 PMCID: PMC10877854 DOI: 10.1186/s40001-024-01723-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 02/10/2024] [Indexed: 02/22/2024] Open
Abstract
BACKGROUND The objective of this study was to determine the independent and incremental values of advanced oxidative protein product (AOPP), interleukin 6 (IL-6), and growth differentiation factor 15 (GDF15) in identifying arteriosclerosis in patients with obstructive sleep apnea (OSA). METHODS A total of 104 individuals diagnosed with OSA by polysomnography were recruited in our study. Arteriosclerosis was defined by measuring the ultrafast pulse wave velocity of the carotid artery. Peripheral venous blood samples were collected to analyze the levels of AOPP, IL-6, and GDF15 utilizing commercially available enzyme-linked immunosorbent assays. RESULTS Compared to OSA patients without arteriosclerosis, those with arteriosclerosis exhibited significantly higher levels of AOPP, IL-6, and GDF15. GDF15 remained significantly associated with arteriosclerosis even after accounting for clinical factors such as age, gender, body mass index, systolic blood pressure, fasting blood glucose, smoking, and the apnea-hypoxia index (AHI). GDF15 demonstrated the largest area under the curve (AUC) for identifying arteriosclerosis in OSA patients (AUC, 0.85 [0.77-0.94]). The logistic regression model, combining clinical factors and AHI, was enhanced by the inclusion of AOPP and IL-6 (Chi-square = 25.06), and even further improved when GDF15 was added (Chi-square = 50.74). The integrated discrimination index increased by 0.06 to 0.16 when GDF15 was added to the models including clinical factors, AOPP, and IL-6. CONCLUSIONS This study verified the independent and incremental value of GDF15 in identifying arteriosclerosis in OSA patients, surpassing clinical risk factors and other serum biomarkers such as AOPP and IL-6.
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Affiliation(s)
- Xinxin Li
- Department of Cardiovascular Ultrasound, The First Hospital of China Medical University, No. 155 Nanjingbei Street, Shenyang, 110001, Liaoning, China
- Key Laboratory of Diagnostic Imaging and Interventional Radiology, Shenyang, Liaoning, China
- Clinical Medical Research Center of Imaging in Liaoning Province, Shenyang, Liaoning, China
| | - Wen Liu
- Department of Cardiovascular Ultrasound, The First Hospital of China Medical University, No. 155 Nanjingbei Street, Shenyang, 110001, Liaoning, China
- Key Laboratory of Diagnostic Imaging and Interventional Radiology, Shenyang, Liaoning, China
- Clinical Medical Research Center of Imaging in Liaoning Province, Shenyang, Liaoning, China
| | - Yonghuai Wang
- Department of Cardiovascular Ultrasound, The First Hospital of China Medical University, No. 155 Nanjingbei Street, Shenyang, 110001, Liaoning, China
- Key Laboratory of Diagnostic Imaging and Interventional Radiology, Shenyang, Liaoning, China
- Clinical Medical Research Center of Imaging in Liaoning Province, Shenyang, Liaoning, China
| | - Cuiting Zhao
- Department of Cardiovascular Ultrasound, The First Hospital of China Medical University, No. 155 Nanjingbei Street, Shenyang, 110001, Liaoning, China
- Key Laboratory of Diagnostic Imaging and Interventional Radiology, Shenyang, Liaoning, China
- Clinical Medical Research Center of Imaging in Liaoning Province, Shenyang, Liaoning, China
| | - Qing Zhu
- Department of Cardiovascular Ultrasound, The First Hospital of China Medical University, No. 155 Nanjingbei Street, Shenyang, 110001, Liaoning, China
- Key Laboratory of Diagnostic Imaging and Interventional Radiology, Shenyang, Liaoning, China
- Clinical Medical Research Center of Imaging in Liaoning Province, Shenyang, Liaoning, China
| | - Zhishuang Dong
- Department of Cardiovascular Ultrasound, The First Hospital of China Medical University, No. 155 Nanjingbei Street, Shenyang, 110001, Liaoning, China
- Key Laboratory of Diagnostic Imaging and Interventional Radiology, Shenyang, Liaoning, China
- Clinical Medical Research Center of Imaging in Liaoning Province, Shenyang, Liaoning, China
| | - Chunyan Ma
- Department of Cardiovascular Ultrasound, The First Hospital of China Medical University, No. 155 Nanjingbei Street, Shenyang, 110001, Liaoning, China.
- Key Laboratory of Diagnostic Imaging and Interventional Radiology, Shenyang, Liaoning, China.
- Clinical Medical Research Center of Imaging in Liaoning Province, Shenyang, Liaoning, China.
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