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Yan P, Li J, Zhang Y, Dan X, Wu X, Zhang X, Yang Y, Chen X, Li S, Chen P, Wan Q, Xu Y. Association of Circulating Carbohydrate Antigen 19-9 Level with Type 2 Diabetic Kidney Disease in Chinese Adults: A Cross-Sectional Study. Diabetes Metab Syndr Obes 2024; 17:467-477. [PMID: 38312210 PMCID: PMC10838495 DOI: 10.2147/dmso.s434972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 01/16/2024] [Indexed: 02/06/2024] Open
Abstract
Objective Very few and conflicting data are available regarding the correlation between circulating carbohydrate antigen 19-9 (CA19-9) levels and diabetic kidney disease (DKD) and its components including albuminuria and a low estimated glomerular filtration rate (eGFR). This study aimed to examine the association of circulating CA19-9 and DKD in Chinese patients with type 2 diabetes mellitus (T2DM). Methods A total of 402 hospitalized T2DM patients between September 2017 and December 2021 were included in this cross-sectional study. There were 224 and 178 subjects in non-DKD and DKD groups, respectively. Serum CA19-9 was measured by chemiluminescence method, and its potential relationship with DKD was evaluated by multivariate logistic regression and correlation analyses, and receiver operating characteristic (ROC) curve analysis. Results T2DM patients with DKD had significantly higher serum CA19-9 levels than those without, and serum CA19-9 levels were positively related to urinary albumin-to-creatinine ratio and negatively to eGFR (P<0.01). Multivariate regression analysis revealed that serum CA 19-9 was an independent factor of DKD [odds ratio (OR), 1.018; 95% confidence interval (CI), 1.002-1.035; P<0.05]. Moreover, an increased progressively risk of DKD with an increase in serum CA19-9 quartiles was observed (P for trend <0.001), and T2DM patients in the highest serum CA19-9 quartile were associated with an increased likelihood of DKD when compared to those in the lowest quartile (OR: 2.936, 95% CI 1.129-7.633, P<0.05). Last, the analysis of ROC curves suggested that serum CA 19-9 at a cut of 25.09 U/mL resulted in the highest Youden index with sensitivity 43.8% and 75.4% specificity to predict the presence of DKD. Conclusion These results showed that high circulating CA19-9 was related to DKD and may serve as a useful biomarker of DKD in hospitalized Chinese T2DM patients.
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Affiliation(s)
- Pijun Yan
- Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, People's Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, People's Republic of China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, People's Republic of China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, People's Republic of China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, People's Republic of China
| | - Jia Li
- Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, People's Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, People's Republic of China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, People's Republic of China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, People's Republic of China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, People's Republic of China
| | - Yi Zhang
- Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, People's Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, People's Republic of China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, People's Republic of China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, People's Republic of China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, People's Republic of China
| | - Xiaofang Dan
- Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, People's Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, People's Republic of China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, People's Republic of China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, People's Republic of China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, People's Republic of China
| | - Xian Wu
- Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, People's Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, People's Republic of China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, People's Republic of China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, People's Republic of China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, People's Republic of China
| | - Xing Zhang
- Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, People's Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, People's Republic of China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, People's Republic of China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, People's Republic of China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, People's Republic of China
| | - Yuxia Yang
- Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, People's Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, People's Republic of China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, People's Republic of China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, People's Republic of China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, People's Republic of China
| | - Xiping Chen
- Clinical medical College, Southwest Medical University, Luzhou, People's Republic of China
| | - Shengxi Li
- Clinical medical College, Southwest Medical University, Luzhou, People's Republic of China
| | - Pan Chen
- Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, People's Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, People's Republic of China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, People's Republic of China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, People's Republic of China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, People's Republic of China
| | - Qin Wan
- Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, People's Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, People's Republic of China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, People's Republic of China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, People's Republic of China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, People's Republic of China
| | - Yong Xu
- Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, People's Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, People's Republic of China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, People's Republic of China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, People's Republic of China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, People's Republic of China
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Li Z, Wang J, Han X, Wang F, Hu H, Yuan J, Yao P, Wei S, Guo H, Zheng D, Tang Y, Yang H, He M. Association between cancer antigen 19-9 and diabetes risk: A prospective and Mendelian randomization study. J Diabetes Investig 2020; 11:585-593. [PMID: 31661606 PMCID: PMC7232271 DOI: 10.1111/jdi.13166] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Revised: 10/23/2019] [Accepted: 10/25/2019] [Indexed: 12/21/2022] Open
Abstract
AIMS/INTRODUCTION Elevated serum cancer antigen 19-9 (CA19-9) levels have been found in diabetes patients in most observational studies; however, whether there is a causal association between CA19-9 and diabetes mellitus is unclear. MATERIALS AND METHODS Our study was carried out based on the Dongfeng-Tongji cohort comprising 27,009 individuals. We first investigated the associations between serum CA19-9 levels and incident diabetes mellitus risk in a prospective cohort study (12,700 individuals). Then, we explored the potential causal relationship between CA19-9 and diabetes mellitus risk in a cross-sectional study (3,349 diabetes mellitus patients and 8,341 controls) using Mendelian randomization analysis. A weighted genetic risk score was calculated by adding the CA19-9 increasing alleles in five single-nucleotide polymorphisms (rs17271883, rs3760776 and rs3760775 in FUT6, rs11880333 in CA11, rs265548 in B3GNT3, and rs1047781 in FUT2), which were identified in a previous genome-wide association study on serum CA19-9 levels. RESULTS In the prospective study, a total of 1,004 incident diabetes mellitus patients were diagnosed during a mean 4.54-year follow-up period. Elevated serum CA19-9 level was associated with a higher incident diabetes risk after adjustment for confounders, with a hazard ratio of 1.20 (95% confidence interval 1.11-1.30) per standard deviation (12.17 U/mL) CA19-9 increase. Using the genetic score to estimate the unconfounded effect, we did not find a causal association of CA19-9 with diabetes risk (odds ratio per weighted CA19-9-increasing allele: 0.99, 95% confidence interval 0.94-1.04; P = 0.61). CONCLUSIONS The present study did not support a causal association of serum CA19-9 with diabetes risk. CA19-9 might be a potential biomarker of incident diabetes mellitus risk.
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Affiliation(s)
- Zhaoyang Li
- Department of Occupational and Environmental HealthState Key Laboratory of Environmental Health for IncubatingSchool of Public HealthTongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Jing Wang
- Department of Occupational and Environmental HealthState Key Laboratory of Environmental Health for IncubatingSchool of Public HealthTongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Xu Han
- Department of Occupational and Environmental HealthState Key Laboratory of Environmental Health for IncubatingSchool of Public HealthTongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Fei Wang
- Department of Occupational and Environmental HealthState Key Laboratory of Environmental Health for IncubatingSchool of Public HealthTongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Hua Hu
- Department of Occupational and Environmental HealthState Key Laboratory of Environmental Health for IncubatingSchool of Public HealthTongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Jing Yuan
- Department of Occupational and Environmental HealthState Key Laboratory of Environmental Health for IncubatingSchool of Public HealthTongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Ping Yao
- Department of Occupational and Environmental HealthState Key Laboratory of Environmental Health for IncubatingSchool of Public HealthTongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Sheng Wei
- Department of Epidemiology and BiostatisticsSchool of Public HealthTongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Huan Guo
- Department of Occupational and Environmental HealthState Key Laboratory of Environmental Health for IncubatingSchool of Public HealthTongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Dan Zheng
- Department of Occupational and Environmental HealthState Key Laboratory of Environmental Health for IncubatingSchool of Public HealthTongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Yuhan Tang
- Department of Occupational and Environmental HealthState Key Laboratory of Environmental Health for IncubatingSchool of Public HealthTongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Handong Yang
- Dongfeng Central HospitalDongfeng Motor Corporation and Hubei University of MedicineShiyanHubeiChina
| | - Meian He
- Department of Occupational and Environmental HealthState Key Laboratory of Environmental Health for IncubatingSchool of Public HealthTongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
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Du R, Cheng D, Lin L, Sun J, Peng K, Xu Y, Xu M, Chen Y, Bi Y, Wang W, Lu J, Ning G. Association between serum CA 19-9 and metabolic syndrome: A cross-sectional study. J Diabetes 2017; 9:1040-1047. [PMID: 28067474 DOI: 10.1111/1753-0407.12523] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2016] [Revised: 01/01/2017] [Accepted: 01/03/2017] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND Increasing evidence suggests that serum CA 19-9 is associated with abnormal glucose metabolism. However, data on the association between CA 19-9 and metabolic syndrome is limited. The aim of the present study was to investigate the association between serum CA 19-9 and metabolic syndrome. METHODS A cross-sectional study was conducted on 3641 participants aged ≥40 years from the Songnan Community, Baoshan District in Shanghai, China. Logistic regression analysis was used to evaluate the association between serum CA 19-9 and metabolic syndrome. RESULTS Multivariate logistic regression analysis showed that compared with participants in the first tertile of serum CA 19-9, those in the second and third tertiles had increased odds ratios (OR) for prevalent metabolic syndrome (multivariate adjusted OR 1.46 [95% confidence interval {CI} 1.11-1.92] and 1.51 [95% CI 1.14-1.98]; P trend = 0.005). In addition, participants with elevated serum CA 19-9 (≥37 U/mL) had an increased risk of prevalent metabolic syndrome compared with those with serum CA 19-9 < 37 U/mL (multivariate adjusted OR 2.10; 95% CI 1.21-3.65). CONCLUSION Serum CA 19-9 is associated with an increased risk of prevalent metabolic syndrome. In order to confirm this association and identify potential mechanisms, prospective cohort and mechanic studies should be performed.
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Affiliation(s)
- Rui Du
- National Clinical Research Center for Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Di Cheng
- National Clinical Research Center for Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lin Lin
- National Clinical Research Center for Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jichao Sun
- National Clinical Research Center for Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Kui Peng
- National Clinical Research Center for Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Xu
- National Clinical Research Center for Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Min Xu
- National Clinical Research Center for Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuhong Chen
- National Clinical Research Center for Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yufang Bi
- National Clinical Research Center for Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- National Clinical Research Center for Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jieli Lu
- National Clinical Research Center for Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guang Ning
- National Clinical Research Center for Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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