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Alshawaf E, Abu-Farha M, Mohammad A, Devarajan S, Al-Khairi I, Cherian P, Ali H, Al-Matrouk H, Al-Mulla F, Al Attar A, Abubaker J. Angiopoietin-2 and Angiopoietin-like Proteins with a Prospective Role in Predicting Diabetic Nephropathy. Biomedicines 2024; 12:949. [PMID: 38790911 PMCID: PMC11118931 DOI: 10.3390/biomedicines12050949] [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: 03/26/2024] [Revised: 04/14/2024] [Accepted: 04/20/2024] [Indexed: 05/26/2024] Open
Abstract
Angiopoietins are crucial growth factors for maintaining a healthy, functional endothelium. Patients with type 2 diabetes (T2D) exhibit significant levels of angiogenic markers, particularly Angiopoietin-2, which compromises endothelial integrity and is connected to symptoms of endothelial injury and failure. This report examines the levels of circulating angiopoietins in people with T2D and diabetic nephropathy (DN) and explores its link with ANGPTL proteins. We quantified circulating ANGPTL3, ANGPTL4, ANGPTL8, Ang1, and Ang2 in the fasting plasma of 117 Kuwaiti participants, of which 50 had T2D and 67 participants had DN. The Ang2 levels increased with DN (4.34 ± 0.32 ng/mL) compared with T2D (3.42 ± 0.29 ng/mL). This increase correlated with clinical parameters including the albumin-to-creatinine ratio (ACR) (r = 0.244, p = 0.047), eGFR (r = -0.282, p = 0.021), and SBP (r = -0.28, p = 0.024). Furthermore, Ang2 correlated positively to both ANGPTL4 (r = 0.541, p < 0.001) and ANGPTL8 (r = 0.41, p = 0.001). Multiple regression analysis presented elevated ANGPTL8 and ACRs as predictors for Ang2's increase in people with DN. In people with T2D, ANGPTL4 positively predicted an Ang2 increase. The area under the curve (AUC) in receiver operating characteristic (ROC) analysis of the combination of Ang2 and ANGPTL8 was 0.77 with 80.7% specificity. In conclusion, significantly elevated Ang2 in people with DN correlated with clinical markers such as the ACR, eGFR, and SBP, ANGPTL4, and ANGPTL8 levels. Collectively, this study highlights a close association between Ang2 and ANGPTL8 in a population with DN, suggesting them as DN risk predictors.
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Affiliation(s)
- Eman Alshawaf
- Department of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Dasman 15462, Kuwait; (E.A.); (M.A.-F.); (A.M.); (I.A.-K.); (P.C.)
| | - Mohamed Abu-Farha
- Department of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Dasman 15462, Kuwait; (E.A.); (M.A.-F.); (A.M.); (I.A.-K.); (P.C.)
- Diabetology Unit, Amiri Hospital, Dasman Diabetes Institute, Dasman 15462, Kuwait
| | - Anwar Mohammad
- Department of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Dasman 15462, Kuwait; (E.A.); (M.A.-F.); (A.M.); (I.A.-K.); (P.C.)
| | - Sriraman Devarajan
- National Dasman Diabetes Biobank, Dasman Diabetes Institute, Dasman 15462, Kuwait;
| | - Irina Al-Khairi
- Department of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Dasman 15462, Kuwait; (E.A.); (M.A.-F.); (A.M.); (I.A.-K.); (P.C.)
| | - Preethi Cherian
- Department of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Dasman 15462, Kuwait; (E.A.); (M.A.-F.); (A.M.); (I.A.-K.); (P.C.)
| | - Hamad Ali
- Functional Genomic Unit, Dasman Diabetes Institute, Dasman 15462, Kuwait; (H.A.); (F.A.-M.)
- Department of Medical Laboratory Sciences, Faculty of Allied Health Sciences, Health Sciences Center, Kuwait University, Kuwait 15462, Kuwait
| | - Hawra Al-Matrouk
- Medical Department, Amiri Hospital, Ministry of Health, Kuwait 15462, Kuwait;
| | - Fahd Al-Mulla
- Functional Genomic Unit, Dasman Diabetes Institute, Dasman 15462, Kuwait; (H.A.); (F.A.-M.)
- Department of Translational Research, Dasman Diabetes Institute, Dasman 15462, Kuwait
| | - Abdulnabi Al Attar
- Diabetology Unit, Amiri Hospital, Dasman Diabetes Institute, Dasman 15462, Kuwait
| | - Jehad Abubaker
- National Dasman Diabetes Biobank, Dasman Diabetes Institute, Dasman 15462, Kuwait;
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Momiyama Y, Kishimoto Y, Saita E, Ohmori R, Kondo K. High plasma levels of angiopoietin-like protein 8 and cardiovascular events in patients undergoing coronary angiography. Atherosclerosis 2023; 386:117309. [PMID: 37813750 DOI: 10.1016/j.atherosclerosis.2023.117309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 09/14/2023] [Accepted: 09/21/2023] [Indexed: 10/11/2023]
Affiliation(s)
| | - Yoshimi Kishimoto
- Department of Food Science and Human Nutrition, Setsunan University, Osaka, Japan
| | - Emi Saita
- Research Institute of Environmental Medicine, Nagoya University, Aichi, Japan
| | - Reiko Ohmori
- Faculty of Regional Design, Utsunomiya University, Tochigi, Japan
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Ye H, Zong Q, Zou H, Zhang R. Emerging insights into the roles of ANGPTL8 beyond glucose and lipid metabolism. Front Physiol 2023; 14:1275485. [PMID: 38107478 PMCID: PMC10722441 DOI: 10.3389/fphys.2023.1275485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Accepted: 11/15/2023] [Indexed: 12/19/2023] Open
Abstract
Angiopoietin-like protein 8 (ANGPTL8) is a secreted protein predominantly expressed in liver and adipose tissue. ANGPTL8 modulates the clearance of triglycerides (TGs) by suppressing the activity of lipoprotein lipase (LPL) within the plasma. Previous studies found that circulating ANGPTL8 levels were significantly increased in metabolic disorder-related diseases, such as type 2 diabetes mellitus (T2DM), obesity, metabolic syndrome and nonalcoholic fatty liver disease (NAFLD). Whether ANGPTL8 has a direct pathogenic role in these diseases remains to be determined. In this review, we summarize the emerging roles of ANGPTL8 in the regulation of inflammation, tumours, circulatory system-related diseases, and ectopic lipid deposition, which may provide new insights into the diverse functions of ANGPTL8 in various diseases beyond its well-established functions in glucose and lipid metabolism.
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Affiliation(s)
- Huimin Ye
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qinghai University, Xining, China
| | - Qunchuan Zong
- Department of Traumatology and Orthopaedics, The Affiliated Hospital of Qinghai University, Xining, China
| | - Huajie Zou
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qinghai University, Xining, China
| | - Ruixia Zhang
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qinghai University, Xining, China
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4
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Lőrincz H, Csiha S, Ratku B, Somodi S, Sztanek F, Seres I, Paragh G, Harangi M. Gender-Dependent Associations between Serum Betatrophin Levels and Lipoprotein Subfractions in Diabetic and Nondiabetic Obese Patients. Int J Mol Sci 2023; 24:16504. [PMID: 38003693 PMCID: PMC10671489 DOI: 10.3390/ijms242216504] [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: 11/03/2023] [Revised: 11/15/2023] [Accepted: 11/17/2023] [Indexed: 11/26/2023] Open
Abstract
Betatrophin, also known as angiopoietin-like protein 8 (ANGPTL8), mainly plays a role in lipid metabolism. To date, associations between betatrophin and lipoprotein subfractions are poorly investigated. For this study, 50 obese patients with type 2 diabetes (T2D) and 70 nondiabetic obese (NDO) subjects matched in gender, age, and body mass index (BMI) as well as 49 gender- and age-matched healthy, normal-weight controls were enrolled. Serum betatrophin levels were measured with ELISA, and lipoprotein subfractions were analyzed using Lipoprint gel electrophoresis. Betatrophin concentrations were found to be significantly higher in the T2D and NDO groups compared to the controls in all subjects and in females, but not in males. We found significant positive correlations between triglyceride, very low density lipoprotein (VLDL), large LDL (low density lipoprotein), small LDL, high density lipoprotein (HDL) -6-10 subfractions, and betatrophin, while negative correlations were detected between betatrophin and IDL, mean LDL size, and HDL-1-5. Proportion of small HDL was the best predictor of betatrophin in all subjects. Small LDL and large HDL subfractions were found to be the best predictors in females, while in males, VLDL was found to be the best predictor of betatrophin. Our results underline the significance of serum betatrophin measurement in the cardiovascular risk assessment of obese patients with and without T2D, but gender differences might be taken into consideration.
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Affiliation(s)
- Hajnalka Lőrincz
- Division of Metabolism, Department of Internal Medicine, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
| | - Sára Csiha
- Division of Metabolism, Department of Internal Medicine, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
- Doctoral School of Health Sciences, University of Debrecen, 4032 Debrecen, Hungary
| | - Balázs Ratku
- Doctoral School of Health Sciences, University of Debrecen, 4032 Debrecen, Hungary
- Department of Emergency Medicine, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
- Institute of Health Studies, Faculty of Health Sciences, University of Debrecen, 4032 Debrecen, Hungary
| | - Sándor Somodi
- Department of Emergency Medicine, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
| | - Ferenc Sztanek
- Division of Metabolism, Department of Internal Medicine, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
| | - Ildikó Seres
- Division of Metabolism, Department of Internal Medicine, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
| | - György Paragh
- Division of Metabolism, Department of Internal Medicine, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
| | - Mariann Harangi
- Division of Metabolism, Department of Internal Medicine, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
- Institute of Health Studies, Faculty of Health Sciences, University of Debrecen, 4032 Debrecen, Hungary
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AlMajed HT, Abu-Farha M, Alshawaf E, Devarajan S, Alsairafi Z, Elhelaly A, Cherian P, Al-Khairi I, Ali H, Jose RM, Thanaraj TA, Al-Ozairi E, Al-Mulla F, Al Attar A, Abubaker J. Increased Levels of Circulating IGFBP4 and ANGPTL8 with a Prospective Role in Diabetic Nephropathy. Int J Mol Sci 2023; 24:14244. [PMID: 37762544 PMCID: PMC10531667 DOI: 10.3390/ijms241814244] [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: 07/27/2023] [Revised: 08/17/2023] [Accepted: 09/14/2023] [Indexed: 09/29/2023] Open
Abstract
Diabetic nephropathy (DN) is a complicated condition related to type 2 diabetes mellitus (T2D). ANGPTL8 is a hepatic protein highlighted as a risk factor for DN in patients with T2D; additionally, recent evidence from DN studies supports the involvement of growth hormone/IGF/IGF-binding protein axis constituents. The potential link between ANGPTL8 and IGFBPs in DN has not been explored before. Here, we assessed changes in the circulating ANGPTL8 levels in patients with DN and its association with IGFBP-1, -3, and -4. Our data revealed a significant rise in circulating ANGPTL8 in people with DN, 4443.35 ± 396 ng/mL compared to 2059.73 ± 216 ng/mL in people with T2D (p < 0.001). Similarly, levels of IGFBP-3 and -4 were significantly higher in people with DN compared to the T2D group. Interestingly, the rise in ANGPTL8 levels correlated positively with IGFBP-4 levels in T2DM patients with DN (p < 0.001) and this significant correlation disappeared in T2DM patients without DN. It also correlated positively with serum creatinine and negatively with the estimated glomerular filtration rate (eGFR, All < 0.05). The area under the curve (AUC) on receiver operating characteristic (ROC) analysis of the combination of ANGPTL8 and IGFBP4 was 0.76 (0.69-0.84), p < 0.001, and the specificity was 85.9%. In conclusion, our results showed a significant increase in ANGPTL8 in patients with DN that correlated exclusively with IGFBP-4, implicating a potential role of both proteins in the pathophysiology of DN. Our findings highlight the significance of these biomarkers, suggesting them as promising diagnostic molecules for the detection of diabetic nephropathy.
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Affiliation(s)
- Hana Th. AlMajed
- Applied Health Science Department, College of Health Sciences, Kuwait 15462, Kuwait;
| | - Mohamed Abu-Farha
- Biochemistry and Molecular Biology, Dasman Diabetes Institute, Kuwait 15462, Kuwait; (E.A.); (P.C.); (I.A.-K.)
| | - Eman Alshawaf
- Biochemistry and Molecular Biology, Dasman Diabetes Institute, Kuwait 15462, Kuwait; (E.A.); (P.C.); (I.A.-K.)
| | - Sriraman Devarajan
- National Dasman Diabetes Biobank, Dasman Diabetes Institute, Kuwait 15462, Kuwait; (S.D.); (R.M.J.)
| | - Zahra Alsairafi
- Department of Pharmacy Practice, Faculty of Pharmacy, Kuwait 15462, Kuwait;
| | - Ashraf Elhelaly
- Clinical Laboratory, Amiri Hospital Kuwait, Kuwait 15462, Kuwait;
| | - Preethi Cherian
- Biochemistry and Molecular Biology, Dasman Diabetes Institute, Kuwait 15462, Kuwait; (E.A.); (P.C.); (I.A.-K.)
| | - Irina Al-Khairi
- Biochemistry and Molecular Biology, Dasman Diabetes Institute, Kuwait 15462, Kuwait; (E.A.); (P.C.); (I.A.-K.)
| | - Hamad Ali
- Genetics and Bioinformatics, Dasman Diabetes Institute, Kuwait 15462, Kuwait; (H.A.); (T.A.T.); (F.A.-M.)
- Department of Medical Laboratory Sciences, Faculty of Allied Health Sciences, Health Sciences Center, Kuwait University, Kuwait 15462, Kuwait
| | - Rose Mol Jose
- National Dasman Diabetes Biobank, Dasman Diabetes Institute, Kuwait 15462, Kuwait; (S.D.); (R.M.J.)
| | | | - Ebaa Al-Ozairi
- Medical Division, Dasman Diabetes Institute, Kuwait 15462, Kuwait;
| | - Fahd Al-Mulla
- Genetics and Bioinformatics, Dasman Diabetes Institute, Kuwait 15462, Kuwait; (H.A.); (T.A.T.); (F.A.-M.)
| | - Abdulnabi Al Attar
- Diabetology Unit, Amiri Hospital, Dasman Diabetes Institute, Kuwait 15462, Kuwait;
| | - Jehad Abubaker
- Biochemistry and Molecular Biology, Dasman Diabetes Institute, Kuwait 15462, Kuwait; (E.A.); (P.C.); (I.A.-K.)
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6
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Li DP, Huang L, Kan RR, Meng XY, Wang SY, Zou HJ, Guo YM, Luo PQ, Pan LM, Xiang YX, Mao BB, Xie YY, Wang ZH, Yang M, He R, Yang Y, Liu ZL, Xie JH, Ma DL, Zhang BP, Shao SY, Chen X, Xu SM, He WT, Li WJ, Chen Y, Yu XF. LILRB2/PirB mediates macrophage recruitment in fibrogenesis of nonalcoholic steatohepatitis. Nat Commun 2023; 14:4436. [PMID: 37481670 PMCID: PMC10363120 DOI: 10.1038/s41467-023-40183-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 07/18/2023] [Indexed: 07/24/2023] Open
Abstract
Inhibition of immunocyte infiltration and activation has been suggested to effectively ameliorate nonalcoholic steatohepatitis (NASH). Paired immunoglobulin-like receptor B (PirB) and its human ortholog receptor, leukocyte immunoglobulin-like receptor B (LILRB2), are immune-inhibitory receptors. However, their role in NASH pathogenesis is still unclear. Here, we demonstrate that PirB/LILRB2 regulates the migration of macrophages during NASH by binding with its ligand angiopoietin-like protein 8 (ANGPTL8). Hepatocyte-specific ANGPTL8 knockout reduces MDM infiltration and resolves lipid accumulation and fibrosis progression in the livers of NASH mice. In addition, PirB-/- bone marrow (BM) chimeras abrogate ANGPTL8-induced MDM migration to the liver. And yet, PirB ectodomain protein could ameliorate NASH by sequestering ANGPTL8. Furthermore, LILRB2-ANGPTL8 binding-promoted MDM migration and inflammatory activation are also observed in human peripheral blood monocytes. Taken together, our findings reveal the role of PirB/LILRB2 in NASH pathogenesis and identify PirB/LILRB2-ANGPTL8 signaling as a potential target for the management or treatment of NASH.
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Affiliation(s)
- Dan-Pei Li
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Li Huang
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Ran-Ran Kan
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Xiao-Yu Meng
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Shu-Yun Wang
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Hua-Jie Zou
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Ya-Ming Guo
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Pei-Qiong Luo
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Li-Meng Pan
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Yu-Xi Xiang
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Bei-Bei Mao
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Yu-Yu Xie
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Zhi-Han Wang
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Min Yang
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Rui He
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Yan Yang
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Zhe-Long Liu
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Jun-Hui Xie
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - De-Lin Ma
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Ben-Ping Zhang
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Shi-Ying Shao
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Xi Chen
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Si-Miao Xu
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Wen-Tao He
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Wen-Jun Li
- Computer Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yong Chen
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
- Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China.
| | - Xue-Feng Yu
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
- Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China.
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7
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Energy Homeostasis Gene Nucleotide Variants and Survival of Hemodialysis Patients-A Genetic Cohort Study. J Clin Med 2022; 11:jcm11185477. [PMID: 36143124 PMCID: PMC9501434 DOI: 10.3390/jcm11185477] [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: 06/28/2022] [Revised: 09/11/2022] [Accepted: 09/13/2022] [Indexed: 11/17/2022] Open
Abstract
Background: Patients undergoing hemodialysis (HD) therapy have an increased risk of death compared to the general population. We investigated whether selected single nucleotide variants (SNVs) involved in glucose and lipid metabolism are associated with mortality risk in HD patients. Methods: The study included 805 HD patients tested for 11 SNVs in FOXO3, IGFBP3, FABP1, PCSK9, ANGPTL6, and DOCK6 using HRM analysis and TaqMan assays. FOXO3, IGFBP3, L-FABP, PCSK9, ANGPTL6, and ANGPTL8 plasma concentrations were measured by ELISA in 86 individuals. The Kaplan–Meier method and Cox proportional hazards models were used for survival analyses. Results: We found out that the carriers of a C allele in ANGPTL6 rs8112063 had an increased risk of all-cause, cardiovascular, and cardiac mortality. In addition, the C allele of DOCK6 rs737337 was associated with all-cause and cardiac mortality. The G allele of DOCK6 rs17699089 was correlated with the mortality risk of patients initiating HD therapy. The T allele of FOXO3 rs4946936 was negatively associated with cardiac and cardiovascular mortality in HD patients. We observed no association between the tested proteins’ circulating levels and the survival of HD patients. Conclusions: The ANGPTL6 rs8112063, FOXO3 rs4946936, DOCK6 rs737337, and rs17699089 nucleotide variants are predictors of survival in patients undergoing HD.
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Zou H, Huang L, Zhao Z, Meng X, Li D, Chen X, Guo Y, Yang Y, Liu Z, He W, Li W, Yu X. Dose-response association between sedentary time and incident of diabetes in Chinese middle-aged and older adults: The 4C study. Diabetes Res Clin Pract 2022; 191:110044. [PMID: 35985425 DOI: 10.1016/j.diabres.2022.110044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 06/30/2022] [Accepted: 08/15/2022] [Indexed: 11/21/2022]
Abstract
AIMS To investigate the dose-response relationship of total sedentary time with incident diabetes in Chinese middle-aged and older adults. METHODS The present study followed 100,525 participants aged ≥ 40 years old from the China Cardiometabolic Disease and Cancer Cohort (4C) Study, which was a prospective study conducted in 25 communities across mainland China. Associations between sedentary time and incident diabetes were assessed with Cox regression and restricted cubic splines. RESULTS During a median follow-up of 3.8 years, 7,529 participants developed diabetes. After adjustment for multiple variables, high levels of sedentary time (≥ 30 h/week) was associated with increased risk for developing diabetes (hazards ratio, 1.08; 95 % confidence intervals 1.02, 1.14) compared with low levels of sedentary time (<20 h/week). Restricted cubic spline analyses revealed an inverted U-shaped relation between sedentary time with diabetes. Subgroup analyses found that the observed association remained significant in subgroup of individuals with body mass index (BMI) ≥ 25 kg/cm2 or diastolic blood pressure (DBP) ≥ 90 mm Hg. However, the significant association was diminished in participants with sufficient physical activity (PA) (P = 0.22). CONCLUSIONS The multicenter, population-based, prospective study suggested an inverted U-shaped relation between sedentary time with diabetes. PA alleviated the deleterious effects associated with sedentary time.
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Affiliation(s)
- Huajie Zou
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Branch of National Clinical Research Center for Metabolic Diseases, Wuhan 430030, China; Division of Endocrinology, Department of Internal Medicine, The Affiliated Hospital of Qinghai University, Xining 810001, China
| | - Li Huang
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Branch of National Clinical Research Center for Metabolic Diseases, Wuhan 430030, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaoyu Meng
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Branch of National Clinical Research Center for Metabolic Diseases, Wuhan 430030, China
| | - Danpei Li
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Branch of National Clinical Research Center for Metabolic Diseases, Wuhan 430030, China
| | - Xi Chen
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Branch of National Clinical Research Center for Metabolic Diseases, Wuhan 430030, China
| | - Yaming Guo
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Branch of National Clinical Research Center for Metabolic Diseases, Wuhan 430030, China
| | - Yan Yang
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Branch of National Clinical Research Center for Metabolic Diseases, Wuhan 430030, China
| | - Zhelong Liu
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Branch of National Clinical Research Center for Metabolic Diseases, Wuhan 430030, China
| | - Wentao He
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Branch of National Clinical Research Center for Metabolic Diseases, Wuhan 430030, China
| | - Wenjun Li
- Computer Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xuefeng Yu
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Branch of National Clinical Research Center for Metabolic Diseases, Wuhan 430030, China.
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9
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Meng X, Zou H, Li D, Yu P, Huang L, Zhang J, Li W, Yu X. Association of Circulating ANGPTL8 Levels With Renal Dysfunction: A Case-Control Study. Front Public Health 2021; 9:710504. [PMID: 34557469 PMCID: PMC8452901 DOI: 10.3389/fpubh.2021.710504] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2021] [Accepted: 08/09/2021] [Indexed: 01/17/2023] Open
Abstract
Background: Chronic kidney disease (CKD) is recognized as a major public health problem with high morbidity and mortality worldwide. Recently, angiopoietin-like protein 8 (ANGPTL8) was found to regulate lipid metabolism. Previous studies suggested that serum ANGPTL8 levels increased in patients with diabetes, especially in diabetic patients with albuminuria. This study aimed to investigate the association between circulating levels of ANGPTL8 and kidney function in the general population. Methods: The subjects were patients with renal dysfunction [estimated glomerular filtration rate (eGFR) <60/min/1.73 m2] from Risk Evaluation of cAncers in Chinese diabeTic Individuals: a lONgitudinal study (the REACTION study). Each case was matched by age, sex, and body mass index (BMI) with one control whose eGFR was ≥ 90 ml/min/1.73 m2. The case and control groups were compared using a paired t-test. Binary logistic regression analysis was used to calculate the odds ratio (OR) of renal dysfunction (RD). Results: Among 135 case-control pairs, circulating ANGPTL8 levels were elevated in patients with RD compared to control subjects [799.96 (410.12-1086.44) vs. 609.58 (365.13-740.06) pg/ml, p < 0.05]. Partial correlations showed that ANGPTL8 levels were negatively correlated with eGFR (r = -0.26, p < 0.05). Multivariable-adjusted binary logistic regression analysis showed that elevated ANGPTL8 levels were associated with an increased risk of RD (OR in quartile 4 vs. 1, 3.80; 95% CI, 1.71-8.41). Interestingly, the association between ANGPTL8 levels and RD was consistent with the overall findings in both nondiabetic individuals (OR, 1.44; 95% CI, 1.09 to 1.91) and diabetic patients (OR, 2.71; 95% CI, 1.13-6.49) in the subgroup analyses. Furthermore, the estimates for this association were also significant in females (OR, 2.12; 95% CI, 1.33-3.37), individuals aged > 60 years (OR, 1.55; 95% CI, 1.16-2.07), individuals with a BMI <24 (OR, 1.66; 95% CI, 1.16-2.39), and individuals without hyperlipidaemia (OR, 1.61; 95% CI, 1.16-2.23) (all p-values <0.05). Conclusion: Elevated circulating ANGPTL8 levels were associated with increased risk of RD in the general population, especially among females, individuals aged > 60 years, individuals with a BMI < 24, individuals without diabetes mellitus, individuals with diabetes mellitus (DM), and individuals without hyperlipidaemia. This finding implies that ANGPTL8 may play a role in the pathological process of RD.
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Affiliation(s)
- Xiaoyu Meng
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Branch of National Clinical Research Center for Metabolic Diseases, Wuhan, China
| | - Huajie Zou
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Branch of National Clinical Research Center for Metabolic Diseases, Wuhan, China
| | - Danpei Li
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Branch of National Clinical Research Center for Metabolic Diseases, Wuhan, China
| | - Peng Yu
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Branch of National Clinical Research Center for Metabolic Diseases, Wuhan, China
| | - Li Huang
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Branch of National Clinical Research Center for Metabolic Diseases, Wuhan, China
| | - Jianhua Zhang
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Branch of National Clinical Research Center for Metabolic Diseases, Wuhan, China
| | - Wenjun Li
- Computer Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xuefeng Yu
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Branch of National Clinical Research Center for Metabolic Diseases, Wuhan, China
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10
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Abstract
ANGPTL8 is an important cytokine, which is significantly increased in type 2 diabetes mellitus (T2DM), obesity and metabolic syndrome. Many studies have shown that ANGPTL8 can be used as a bio-marker of these metabolic disorders related diseases, and the baseline ANGPTL8 level has also been found to be positively correlated with retinopathy and all-cause mortality in patients with T2DM. This may be related to the inhibition of lipoprotein lipase activity and the reduction of circulating triglyceride (TG) clearance by ANGPTL8. Consistently, inhibition of ANGPTL8 seems to prevent or improve atherosclerosis. However, it is puzzling that ANGPTL8 seems to have a directing function for TG uptake in peripheral tissues; that is, ANGPTL8 specifically enhances the reserve and buffering function of white adipose tissue, which may alleviate the ectopic lipid accumulation to a certain extent. Furthermore, ANGPTL8 can improve insulin sensitivity and inhibit hepatic glucose production. These contradictory results lead to different opinions on the role of ANGPTL8 in metabolic disorders. In this paper, the correlation between ANGPTL8 and metabolic diseases, the regulation of ANGPTL8 and the physiological role of ANGPTL8 in the process of glucose and lipid metabolism were summarized, and the physiological/pathological significance of ANGPTL8 in the process of metabolic disorder was discussed.
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Affiliation(s)
- Chang Guo
- Department of Nephrology, Affiliated Hospital of Jiangsu University, 438 Jiefang Road, Zhenjiang 212001, Jiangsu, People's Republic of China
| | - Chenxi Wang
- Department of Endocrinology, Affiliated Hospital of Jiangsu University, 438 Jiefang Road, Zhenjiang 212001, Jiangsu, People's Republic of China
| | - Xia Deng
- Department of Endocrinology, Affiliated Hospital of Jiangsu University, 438 Jiefang Road, Zhenjiang 212001, Jiangsu, People's Republic of China
| | - Jianqiang He
- Department of Nephrology, Affiliated Hospital of Jiangsu University, 438 Jiefang Road, Zhenjiang 212001, Jiangsu, People's Republic of China
| | - Ling Yang
- Department of Endocrinology, Affiliated Hospital of Jiangsu University, 438 Jiefang Road, Zhenjiang 212001, Jiangsu, People's Republic of China
| | - Guoyue Yuan
- Department of Endocrinology, Affiliated Hospital of Jiangsu University, 438 Jiefang Road, Zhenjiang 212001, Jiangsu, People's Republic of China
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11
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Zou H, Xu Y, Meng X, Li D, Chen X, Du T, Yang Y, Chen Y, Shao S, Yuan G, Zhou X, Hu S, He W, Ma D, Xie J, Zhang B, Zhang J, Li W, Liu Z, Yu X. Circulating ANGPTL8 levels and risk of kidney function decline: Results from the 4C Study. Cardiovasc Diabetol 2021; 20:127. [PMID: 34167540 PMCID: PMC8223309 DOI: 10.1186/s12933-021-01317-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Accepted: 06/07/2021] [Indexed: 12/18/2022] Open
Abstract
Background ANGPTL8, an important regulator of lipid metabolism, was recently proven to have additional intracellular and receptor-mediated functions. This study aimed to investigate circulating levels of ANGPTL8 and its potential association with the risk of kidney function decline in a cohort study. Methods We analysed 2,311 participants aged 40 years old and older from the China Cardiometabolic Disease and Cancer Cohort (4C) Study. Kidney function decline was defined as an estimated glomerular filtration rate (eGFR) less than 60 mL per minute per 1.73 m2 of body surface area, a decrease in eGFR of ≥ 30% from baseline, chronic kidney disease (CKD)-related hospitalization or death, or end-stage renal disease. The association between baseline ANGPTL8 levels and kidney function decline was assessed using multivariable-adjusted Cox proportional hazards models, and inverse possibility of treatment weight (IPTW) was utilized to prevent overfitting. Results There were 136 (5.9%) cases of kidney function decline over a median of 3.8 years of follow-up. We found that serum ANGPTL8 levels at baseline were elevated in individuals with kidney function decline compared to those without kidney function decline during follow-up (718.42 ± 378.17 vs. 522.04 ± 283.07 pg/mL, p < 0.001). Compared with the first quartile, multivariable-adjusted hazard ratio (95% confidence intervals [CIs]) for kidney function decline was 2.59 (95% CI, 1.41–4.77) for the fourth ANGPTL8 quartile. Furthermore, compared with patients in the first ANGPTL8 quartile, those in the fourth ANGPTL8 quartile were more likely to report a higher stage of CKD (relative risk: 1.33; 95% CI, 1.01–1.74). The conclusions of the regression analyses were not altered in the IPTW models. Multivariable-adjusted restricted cubic spline analyses suggested a linear relationship of ANGPTL8 with kidney function decline (p for nonlinear trend = 0.66, p for linear trend < 0.001). Conclusions Participants with higher circulating ANGPTL8 levels were at increased risk for kidney function decline, highlighting the importance of future studies addressing the pathophysiological role of ANGPTL8 in CKD. Supplementary Information The online version contains supplementary material available at 10.1186/s12933-021-01317-3.
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Affiliation(s)
- Huajie Zou
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, China.,Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Yongping Xu
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, China.,Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Xiaoyu Meng
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, China.,Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Danpei Li
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, China.,Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Xi Chen
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, China.,Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Tingting Du
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, China.,Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Yan Yang
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, China.,Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Yong Chen
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, China.,Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Shiying Shao
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, China.,Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Gang Yuan
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, China.,Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Xinrong Zhou
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, China.,Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Shuhong Hu
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, China.,Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Wentao He
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, China.,Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Delin Ma
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, China.,Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Junhui Xie
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, China.,Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Benping Zhang
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, China.,Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Jianhua Zhang
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, China.,Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China
| | - Wenjun Li
- Computer Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhelong Liu
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, China. .,Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China.
| | - Xuefeng Yu
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, China. .,Branch of National Clinical Research Center for Metabolic Diseases, Hubei, China.
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