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Zhou J, Xu B, He F, Shu Y, Chen X, Liu Z, Sun B, Zhang W. Association of RASGRP1 polymorphism with vascular complications in Chinese diabetic patients with glycemic control and antihypertensive treatment. Cardiovasc Diabetol 2024; 23:166. [PMID: 38730425 PMCID: PMC11088008 DOI: 10.1186/s12933-024-02267-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 05/06/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND Studies have shown that RASGRP1 was potently associated with the onset of type 2 diabetes mellitus (T2DM), and RASGRP1 rs7403531 was significantly correlated with islet function in T2DM patients. However, the effect of RASGRP1 polymorphism on blood glucose and blood pressure in T2DM patients after continuous treatment has yet to be fully elucidated. OBJECTIVE This study aimed to explore the association between RASGRP1 genetic polymorphism and cardiovascular complications in T2DM patients, so as to provide more evidence for the individualized treatment of T2DM patients. METHODS We retrospectively analyzed a large-scale multicenter drug clinical study cohort that based on a 2 × 2 factorial (glucose control axis and blood pressure lowering axis) randomized controlled design, with follow-up for 5 years. The major vascular endpoint events included cardiovascular death, non-fatal stroke, coronary heart disease, new-onset or worsening renal disease, and diabetic retinopathy. RASGRP1 rs12593201, rs56254815 and rs7403531 were finally selected as candidate single nucleotide polymorphisms. Mixed linear model and Cox hazard ratio (HR) model were used for data analysis with IBM SPSS (version 20.0 for windows; Chicago, IL). RESULTS Our study enrolled 1357 patients with high-risk diabetes, with a mean follow-up duration of 4.8 years. RASGRP1 rs7403531 was associated with vascular events in hypoglycemic and antihypertensive therapy. Specifically, compared with CC carriers, patients with CT/TT genotype had fewer major microvascular events (HR = 0.41, 95% confidence interval (CI) 0.21-0.80, P = 0.009), and reduced the risk of major eye disease events (HR = 0.44, 95% CI 0.20-0.94, P = 0.03). For glucose lowering axis, CT/TT carriers had a lower risk of secondary nephropathy (HR = 0.48, 95% CI 0.25-0.92, P = 0.03) in patients with standard glycemic control. For blood pressure lowering axis, all cerebrovascular events (HR = 2.24, 95% CI 1.11-4.51, P = 0.025) and stroke events (HR = 2.07, 95% CI 1.03-4.15, P = 0.04) were increased in patients with CC genotype compared to those with CT/TT genotype in the placebo group, respectively. Furthermore, patients with CC genotype showed a reduced risk of major cerebrovascular events in antihypertensive group (HR = 0.36, 95% CI 0.15-0.86, P = 0.021). For RASGRP1 rs56254815, compared with the AA genotype carriers, the systolic blood pressure of AG/GG carriers in the antihypertensive group decreased by 1.5mmhg on average (P = 0.04). In the placebo group, the blood pressure of AG/GG carriers was 1.7mmHg higher than that of AA carriers (P = 0.02). CONCLUSION We found that patients with G allele of RASGRP1 (rs56254815) showed a better antihypertensive therapy efficacy in T2DM patients. The rs7403531 T allele could reduce the risk of major microvascular events and major eye diseases in T2DM patients receiving either hypoglycemic or antihypertensive therapy. Our findings suggest that RASGRP1 genetic polymorphism might predict the cardiovascular complications in T2DM patients.
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Affiliation(s)
- Jiecan Zhou
- The First Affiliated Hospital, Hunan Provincial Clinical Medical Research Center for Drug Evaluation of Major Chronic Diseases, Hengyang Medical School, University of South China, 421001, Hengyang, Hunan, China.
- The First Affiliated Hospital, Hengyang Clinical Pharmacology Research Center, Hengyang Medical School, University of South China, 421001, Hengyang, Hunan, China.
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 110 Xiangya Rode, Kaifu district, 410008, Changsha, Hunan, P.R. China.
| | - Bo Xu
- The First Affiliated Hospital, Hunan Provincial Clinical Medical Research Center for Drug Evaluation of Major Chronic Diseases, Hengyang Medical School, University of South China, 421001, Hengyang, Hunan, China
- The First Affiliated Hospital, Hengyang Clinical Pharmacology Research Center, Hengyang Medical School, University of South China, 421001, Hengyang, Hunan, China
| | - Fazhong He
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 110 Xiangya Rode, Kaifu district, 410008, Changsha, Hunan, P.R. China
- Pharmacogenetics Research Institute, Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, 410078, Changsha, Hunan, China
- Department of Pharmacy-Quality control section of medical department, Zhuhai People's Hospital, Zhuhai Hospital Affiliated with Jinan University, Zhuhai, Guangdong, China
| | - Yan Shu
- Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, MD, USA
| | - Xiaoping Chen
- The First Affiliated Hospital, Hunan Provincial Clinical Medical Research Center for Drug Evaluation of Major Chronic Diseases, Hengyang Medical School, University of South China, 421001, Hengyang, Hunan, China
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 110 Xiangya Rode, Kaifu district, 410008, Changsha, Hunan, P.R. China
- Pharmacogenetics Research Institute, Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, 410078, Changsha, Hunan, China
| | - Zhaoqian Liu
- The First Affiliated Hospital, Hunan Provincial Clinical Medical Research Center for Drug Evaluation of Major Chronic Diseases, Hengyang Medical School, University of South China, 421001, Hengyang, Hunan, China
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 110 Xiangya Rode, Kaifu district, 410008, Changsha, Hunan, P.R. China
- Pharmacogenetics Research Institute, Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, 410078, Changsha, Hunan, China
| | - Bao Sun
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 110 Xiangya Rode, Kaifu district, 410008, Changsha, Hunan, P.R. China.
- Pharmacogenetics Research Institute, Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, 410078, Changsha, Hunan, China.
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, People's Middle Street, Changsha, 410011, Hunan , P. R. China.
| | - Wei Zhang
- The First Affiliated Hospital, Hunan Provincial Clinical Medical Research Center for Drug Evaluation of Major Chronic Diseases, Hengyang Medical School, University of South China, 421001, Hengyang, Hunan, China.
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 110 Xiangya Rode, Kaifu district, 410008, Changsha, Hunan, P.R. China.
- Pharmacogenetics Research Institute, Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, 410078, Changsha, Hunan, China.
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Popovic R, Yu Y, Leal NS, Fedele G, Loh SHY, Martins LM. Upregulation of Tribbles decreases body weight and increases sleep duration. Dis Model Mech 2023; 16:dmm049942. [PMID: 37083954 PMCID: PMC10151826 DOI: 10.1242/dmm.049942] [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: 10/12/2022] [Accepted: 03/16/2023] [Indexed: 04/22/2023] Open
Abstract
Eukaryotic Tribbles proteins are pseudoenzymes that regulate multiple aspects of intracellular signalling. Both Drosophila melanogaster and mammalian members of this family of pseudokinases act as negative regulators of insulin signalling. Mammalian tribbles pseudokinase (TRIB) genes have also been linked to insulin resistance and type 2 diabetes mellitus. Type 2 diabetes mellitus is associated with increased body weight, sleep problems and increased long-term mortality. Here, we investigated how manipulating the expression of Tribbles impacts body weight, sleep and mortality. We showed that the overexpression of Drosophila tribbles (trbl) in the fly fat body reduces both body weight and lifespan in adult flies without affecting food intake. Furthermore, it decreases the levels of Drosophila insulin-like peptide 2 (DILP2; ILP2) and increases night-time sleep. The three genes encoding TRIBs of mammals, TRIB1, TRIB2 and TRIB3, show both common and unique features. As the three human TRIB genes share features with Drosophila trbl, we further explored the links between TRIB genetic variants and both body weight and sleep in the human population. We identified associations between the polymorphisms and expression levels of the pseudokinases and markers of body weight and sleep duration. We conclude that Tribbles pseudokinases are involved in the control of body weight, lifespan and sleep.
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Affiliation(s)
- Rebeka Popovic
- MRC Toxicology Unit, University of Cambridge, Gleeson Building, Tennis Court Road, Cambridge CB2 1QR, UK
| | - Yizhou Yu
- MRC Toxicology Unit, University of Cambridge, Gleeson Building, Tennis Court Road, Cambridge CB2 1QR, UK
| | - Nuno Santos Leal
- MRC Toxicology Unit, University of Cambridge, Gleeson Building, Tennis Court Road, Cambridge CB2 1QR, UK
| | - Giorgio Fedele
- MRC Toxicology Unit, University of Cambridge, Gleeson Building, Tennis Court Road, Cambridge CB2 1QR, UK
| | - Samantha H. Y. Loh
- MRC Toxicology Unit, University of Cambridge, Gleeson Building, Tennis Court Road, Cambridge CB2 1QR, UK
| | - L. Miguel Martins
- MRC Toxicology Unit, University of Cambridge, Gleeson Building, Tennis Court Road, Cambridge CB2 1QR, UK
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Sun B, Gao Y, He F, Liu Z, Zhou J, Wang X, Zhang W. Association of visit-to-visit HbA1c variability with cardiovascular diseases in type 2 diabetes within or outside the target range of HbA1c. Front Public Health 2022; 10:1052485. [PMID: 36438253 PMCID: PMC9686379 DOI: 10.3389/fpubh.2022.1052485] [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: 09/24/2022] [Accepted: 10/27/2022] [Indexed: 11/11/2022] Open
Abstract
Background Although a growing attention has been recently paid to the role of HbA1c variability in the risk of diabetic complications, the impact of HbA1c variability on cardiovascular diseases (CVD) in type 2 diabetes is still debated. The aim of the study is to investigate the association of HbA1c variability with CVD in individuals within or outside the target range of HbA1c. Methods Using data from Action in Diabetes and Vascular disease: preterAx and diamicroN-MR Controlled Evaluation (ADVANCE), we enrolled 855 patients with type 2 diabetes in China. The primary outcomes included major macrovascular events and major microvascular events. Visit-to-visit HbA1c variability was expressed as the coefficient of variation (CV) of five measurements of HbA1c taken 3-24 months after treatment. Cox proportional hazard models were used to estimate adjusted hazard ratios (aHR). Results Among 855 patients in the intensive glucose treatment group, 563 and 292 patients were assigned to the group of "within the target range of HbA1c" (WTH) (updated mean HbA1c ≤ 7.0%) and "outside the target range of HbA1c" (OTH) (updated mean HbA1c > 7.0%), respectively. HbA1c variability was positively associated with the risk of major microvascular events in all patients and both the subgroups during a median follow-up period of 4.8 years. Particularly, the risk related to HbA1c variability was higher in patients in WTH group for the new or worsening nephropathy [aHR: 3.35; 95% confidence interval (CI): 1.05-10.74; P = 0.042]. Conclusions This retrospective cohort study confirmed the positive correlation between HbA1c variability and major microvascular events, especially in subjects in WTH or OTH.
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Affiliation(s)
- Bao Sun
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China,Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, China,Institute of Clinical Pharmacy, Central South University, Changsha, China
| | - Yongchao Gao
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China,Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha, China,Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha, China,National Clinical Research Center for Geriatric Disorders, Changsha, China
| | - Fazhong He
- Department of Pharmacy, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, China
| | - Zhaoqian Liu
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China,Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha, China,Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha, China,National Clinical Research Center for Geriatric Disorders, Changsha, China
| | - Jiecan Zhou
- The First Affiliated Hospital, Clinical Medical Research Center, Hengyang Medical School, University of South China, Hengyang, China,The First Affiliated Hospital, Hengyang Clinical Pharmacology Research Center, Hengyang Medical School, University of South China, Hengyang, China,Jiecan Zhou
| | - Xingyu Wang
- Beijing Hypertension League Institute, Beijing, China,Xingyu Wang
| | - Wei Zhang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China,Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha, China,Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha, China,National Clinical Research Center for Geriatric Disorders, Changsha, China,*Correspondence: Wei Zhang
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Lai J, Ouyang J, Lin W, Liu M, Yang Y, Wang R, Yang H, Meng Q, Dong J, Zhang J, Li L, He F. TRIB3 promoter 33 bp VNTR is associated with the risk of cerebrovascular disease in type 2 diabetic patients. Front Genet 2022; 13:916281. [PMID: 36105108 PMCID: PMC9464918 DOI: 10.3389/fgene.2022.916281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 07/12/2022] [Indexed: 11/24/2022] Open
Abstract
Previous studies have demonstrated that TRIB3 is closely related to insulin resistance, metabolic disorders and vascular diseases. Recently, it was reported that a 33 bp variable number of tandem repeats (VNTR) located in the TRIB3 promoter could considerably alter its transcriptional activity. Nonetheless, whether the shift of TRIB3 transcriptional activity has the effect of inducing diabetic vascular complications is still unclear. Therefore, in our study, we aimed to explore the relationship between the TRIB3 33bp VNTR and diabetic vascular complications. The TRIB3 33bp VNTR polymorphisms were determined by PCR and Sanger sequencing, a total of 798 eligible Chinese patients with type 2 diabetes (T2DM) were included in our study and then evaluated with clinical data. After adjusting for age, gender, BMI, smoking history, drinking history and duration of diabetes, we found that the high number of 33 bp tandem repeats (repeats>8) was significantly associated with an increase in the risk of cerebrovascular diseases compared with the low number of 33 bp tandem repeats (repeats≤6) in patients with T2DM(OR 2.66, 95% CI 1.29–5.47, p = 0.008). The intermediate number of 33bp tandem repeats (6 < repeat≤8) was markedly associated with a decreased risk of diabetic retinopathy compared with the low number of tandem repeats (OR 0.65, 95% CI 0.46–0.91, p = 0.012). Adjusting for gender, age and BMI, there was a significant difference in DBP levels among patients with the number of different 33 bp tandem repeats (Low vs. Intermediate vs. High, 81.6 ± 12.8 vs. 79.8 ± 12.4 vs. 78.7 ± 12.6 mmHg; p = 0.045). Subgroup analysis found that TRIB3 VNTR was significantly correlated with the difference in systolic blood pressure (SBP) in T2DM patients taking ACEI/ARB drugs (Low vs. Intermediate vs. High, 146.27 ± 18.23 vs. 140.01 ± 19.91 vs. 140.77 ± 18.64 mmHg; p = 0.018). Our results indicated that TRIB3 promoter 33bp VNTR is related to vascular diseases in T2DM patients, and may serve as a new biomarker for individualized prevention and therapy of T2DM.
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Affiliation(s)
- Jiaqi Lai
- Department of Pharmacy, Zhuhai People’s Hospital, Zhuhai Hospital Affiliated with Jinan University, Zhuhai, China
- College of Pharmacy, Jinan University, Guangzhou, China
| | - Jiaying Ouyang
- Department of Pharmacy, Zhuhai People’s Hospital, Zhuhai Hospital Affiliated with Jinan University, Zhuhai, China
- College of Pharmacy, Jinan University, Guangzhou, China
| | - Weijie Lin
- Department of Pharmacy, Zhuhai People’s Hospital, Zhuhai Hospital Affiliated with Jinan University, Zhuhai, China
| | - Mouze Liu
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Yang Yang
- Department of Pharmacy, Zhuhai People’s Hospital, Zhuhai Hospital Affiliated with Jinan University, Zhuhai, China
| | - Ruiqi Wang
- Department of Pharmacy, Zhuhai People’s Hospital, Zhuhai Hospital Affiliated with Jinan University, Zhuhai, China
| | - Haikui Yang
- Department of Pharmacy, Zhuhai People’s Hospital, Zhuhai Hospital Affiliated with Jinan University, Zhuhai, China
| | - Qian Meng
- Department of Pharmacy, Zhuhai People’s Hospital, Zhuhai Hospital Affiliated with Jinan University, Zhuhai, China
| | - Jiamei Dong
- Department of Pharmacy, Zhuhai People’s Hospital, Zhuhai Hospital Affiliated with Jinan University, Zhuhai, China
| | - Jianping Zhang
- College of Pharmacy, Jinan University, Guangzhou, China
- *Correspondence: Fazhong He, ; Ling Li, ; Jianping Zhang,
| | - Ling Li
- Department of Pharmacy, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China
- *Correspondence: Fazhong He, ; Ling Li, ; Jianping Zhang,
| | - Fazhong He
- *Correspondence: Fazhong He, ; Ling Li, ; Jianping Zhang,
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He F, Sun B, Li L, Liu M, Lin W, Liu L, Sun Y, Luo Y, Wu L, Lu L, Zhang W, Zhou Z. TRIB3 rs6037475 is a potential biomarker for predicting felodipine drug response in Chinese patients with hypertension. ANNALS OF TRANSLATIONAL MEDICINE 2020; 8:437. [PMID: 32395481 PMCID: PMC7210142 DOI: 10.21037/atm.2020.03.176] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Background Our previous studies have found that single nucleotide polymorphisms (SNPs) of tribbles homolog 3 (TRIB3) are related to the hypotensive effects of calcium-channel blockers (CCBs) and angiotensin-converting enzyme (ACE) inhibitors. In this study, we aimed at exploring and validating the effect of TRIB3 polymorphism on antihypertensive drugs responses. Methods A total of 830 hypertensive patients, who were administered with open-labeled hydrochlorothiazide (12.5 mg once daily) and randomly assigned to off-labeled felodipine (5 mg) or a matched placebo combination treatment (1:1), were selected from the Felodipine Event Reduction (FEVER) study. A strategy of screening 259 samples and validating the remaining 531 samples was implemented. Four functional SNPs were selected (rs2295490, rs11470129, rs4815567 and rs6037475 in TRIB3). A mixed linear model was performed to analyze the effects of TRIB3 SNPs on antihypertensive drugs responses. Results We found that TRIB3 rs6037475 CC genotype was associated with a reduction of diastolic blood pressure (DBP) (P=6.3×10−3) in the felodipine treatment group of screening set, and was also associated with a reduction of systolic blood pressure (SBP) (P=0.021), DBP (P=6.0×10−3) and mean arterial pressure (MAP) (P=0.021) in the felodipine treatment group of the validation set. As for the reductions influenced by the rs2295490, rs11470129 and rs4815567 genetic variations, however, the adjusted P-value did not reach statistical significance. Combined screening and validation set analysis found that patients with TRIB3 rs6037475 CC genotype had a significant higher mean SBP, DBP and MAP than those with TT genotype in the felodipine treatment group (CC vs. TT −10.2±0.74 vs. −17.8±0.21, P=7.8×10−3; −4.6±0.50 vs. −10.2±0.23, P=3.0×10−4; −6.5±0.54 vs. −12.7±0.14, P=3.0×10−4, respectively). Conclusions These results suggest that TRIB3 rs6037475 genetic variation can be useful as a bio-marker for predicting felodipine drug response in Chinese patients with hypertension.
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Affiliation(s)
- Fazhong He
- Zhuhai People's Hospital (Zhuhai hospital affiliated with Jinan University), Zhuhai 519000, China
| | - Bao Sun
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410078, China
| | - Ling Li
- Department of Pharmacy, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai 519000, China
| | - Mouze Liu
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410078, China
| | - Weijie Lin
- Zhuhai People's Hospital (Zhuhai hospital affiliated with Jinan University), Zhuhai 519000, China
| | - Lin Liu
- Zhuhai People's Hospital (Zhuhai hospital affiliated with Jinan University), Zhuhai 519000, China
| | - Yinxiang Sun
- Zhuhai People's Hospital (Zhuhai hospital affiliated with Jinan University), Zhuhai 519000, China
| | - Yuhong Luo
- Zhuhai People's Hospital (Zhuhai hospital affiliated with Jinan University), Zhuhai 519000, China
| | - Lin Wu
- Department II of Thoracic Medicine, Hunan Cancer Hospital, Changsha 519000, China
| | - Ligong Lu
- Zhuhai People's Hospital (Zhuhai hospital affiliated with Jinan University), Zhuhai 519000, China
| | - Wei Zhang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410078, China
| | - Zhiling Zhou
- Zhuhai People's Hospital (Zhuhai hospital affiliated with Jinan University), Zhuhai 519000, China
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O’Mara TA, Batra J, Glubb D. Editorial: Establishing Genetic Pleiotropy to Identify Common Pharmacological Agents for Common Diseases. Front Pharmacol 2019; 10:1038. [PMID: 31572202 PMCID: PMC6753863 DOI: 10.3389/fphar.2019.01038] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Accepted: 08/16/2019] [Indexed: 11/13/2022] Open
Affiliation(s)
- Tracy A. O’Mara
- Molecular Cancer Epidemiology Laboratory, Genetics and Computational Biology Department, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Jyotsna Batra
- Cancer Program, School of Biomedical Sciences, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia
| | - Dylan Glubb
- Molecular Cancer Epidemiology Laboratory, Genetics and Computational Biology Department, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
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Sun B, He F, Gao Y, Zhou J, Sun L, Liu R, Xu H, Chen X, Zhou H, Liu Z, Zhang W. Prognostic impact of visit-to-visit glycemic variability on the risks of major adverse cardiovascular outcomes and hypoglycemia in patients with different glycemic control and type 2 diabetes. Endocrine 2019; 64:536-543. [PMID: 30868413 DOI: 10.1007/s12020-019-01893-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Accepted: 03/05/2019] [Indexed: 02/05/2023]
Abstract
PURPOSE The prognostic impact of visit-to-visit glycemic variability on clinical outcomes in patients with different glycemic control and type 2 diabetes remains obscure. We investigated glucose variability and clinical outcomes for patients in the groups of Good glycemic control (GC), Insufficient glycemic control (IC), and Poor glycemic control (PC) in a prospective cohort study. METHODS By using data from Action in Diabetes and Vascular disease: preterAx and diamicroN-MR Controlled Evaluation (ADVANCE), 930 patients were enrolled from 61 centers in China and grouped into GC, IC, and PC according to their glycated hemoglobin A1c (HbA1c) and fasting plasma glucose (FPG). Visit-to-visit glycemic variability was defined using the coefficient of variation (CV) of five measurements of HbA1c and FPG taken 3-24 months after treatment. Multivariable Cox proportional hazards models were employed to estimate adjusted hazard ratio (aHR). RESULTS Among 930 patients in the intensive glucose control, 82, 538, and 310 patients were assigned to GC, IC, and PC, respectively. During the median of 4.8 years of follow-up, 322 patients were observed hypoglycemia and 244 patients experienced major adverse cardiovascular events (MACE). The CV of HbA1c and FPG was significantly lower for GC (6.0 ± 3.8, 11.2 ± 6.2) than IC (8.3 ± 5.6, 17.9 ± 10.6) and PC (9.5 ± 6.3, 19.3 ± 10.8). High glycemic variability was associated with a greater risk of MACE (aHR: 2.21; 95% confidence interval (CI): 1.61-3.03; p < 0.001) and hypoglycemia (aHR: 1.36; 95% CI: 1.04-1.79; p = 0.025) than low glycemic variability in total patients. The consistent trend was also found in subgroups of GC, IC, and PC. CONCLUSIONS This prospective cohort study showed that glycemic variability was significantly lower for GC than IC and PC. Furthermore, glycemic variability was associated with the risk of MACE and hypoglycemia in total patients and subgroups of different glycemic control.
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Affiliation(s)
- Bao Sun
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 410078, Changsha, People's Republic of China
- Hunan Key Laboratory of Pharmacogenetics, Department of Clinical Pharmacology, Institute of Clinical Pharmacology, Central South University, 410078, Changsha, People's Republic of China
| | - Fazhong He
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 410078, Changsha, People's Republic of China
- Hunan Key Laboratory of Pharmacogenetics, Department of Clinical Pharmacology, Institute of Clinical Pharmacology, Central South University, 410078, Changsha, People's Republic of China
| | - Yongchao Gao
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 410078, Changsha, People's Republic of China
- Hunan Key Laboratory of Pharmacogenetics, Department of Clinical Pharmacology, Institute of Clinical Pharmacology, Central South University, 410078, Changsha, People's Republic of China
| | - Jiecan Zhou
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 410078, Changsha, People's Republic of China
- Hunan Key Laboratory of Pharmacogenetics, Department of Clinical Pharmacology, Institute of Clinical Pharmacology, Central South University, 410078, Changsha, People's Republic of China
| | - Lei Sun
- Data Analysis Technology Lab, School of Mathematics and Statistics, Henan University, 475004, Kaifeng, People's Republic of China
| | - Rong Liu
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 410078, Changsha, People's Republic of China
- Hunan Key Laboratory of Pharmacogenetics, Department of Clinical Pharmacology, Institute of Clinical Pharmacology, Central South University, 410078, Changsha, People's Republic of China
| | - Heng Xu
- Department of Laboratory Medicine, National Key Laboratory of Biotherapy/Collaborative Innovation Center of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Xiaoping Chen
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 410078, Changsha, People's Republic of China
- Hunan Key Laboratory of Pharmacogenetics, Department of Clinical Pharmacology, Institute of Clinical Pharmacology, Central South University, 410078, Changsha, People's Republic of China
| | - Honghao Zhou
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 410078, Changsha, People's Republic of China
- Hunan Key Laboratory of Pharmacogenetics, Department of Clinical Pharmacology, Institute of Clinical Pharmacology, Central South University, 410078, Changsha, People's Republic of China
| | - Zhaoqian Liu
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 410078, Changsha, People's Republic of China
- Hunan Key Laboratory of Pharmacogenetics, Department of Clinical Pharmacology, Institute of Clinical Pharmacology, Central South University, 410078, Changsha, People's Republic of China
| | - Wei Zhang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 410078, Changsha, People's Republic of China.
- Hunan Key Laboratory of Pharmacogenetics, Department of Clinical Pharmacology, Institute of Clinical Pharmacology, Central South University, 410078, Changsha, People's Republic of China.
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Zhou J, He F, Sun B, Liu R, Gao Y, Ren H, Shu Y, Chen X, Liu Z, Zhou H, Deng S, Xu H, Li J, Xu L, Zhang W. Polytropic Influence of TRIB3 rs2295490 Genetic Polymorphism on Response to Antihypertensive Agents in Patients With Essential Hypertension. Front Pharmacol 2019; 10:236. [PMID: 30971918 PMCID: PMC6445854 DOI: 10.3389/fphar.2019.00236] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Accepted: 02/26/2019] [Indexed: 02/05/2023] Open
Abstract
Tribbles homolog 3 (TRIB3) mediating signaling pathways are closely related to blood pressure regulation. Our previous findings suggested a greater benefit on vascular outcomes in patients carrying TRIB3 (251, A > G, rs2295490) G allele with good glucose and blood pressure control. And TRIB3 (rs2295490) AG/GG genotypes were found to reduce primary vascular events in type 2 diabetic patients who received intensive glucose treatment as compared to those receiving standard glucose treatment. However, the effect of TRIB3 genetic variation on antihypertensives was not clear in essential hypertension patients. A total of 368 patients treated with conventional dosage of antihypertensives (6 groups, grouped by atenolol/bisoprolol, celiprolol, doxazosin, azelnidipine/nitrendipine, imidapril, and candesartan/irbesartan) were enrolled in our study. Genetic variations were successfully identified by sanger sequencing. A linear mixed model analysis was performed to evaluate blood pressures among TRIB3 (251, A > G) genotypes and adjusted for baseline age, gender, body mass index, systolic blood pressure (SBP), diastolic blood pressure (DBP), total cholesterol and other biochemical factors appropriately. Our data suggested that TRIB3 (251, A > G) AA genotype carriers showed better antihypertensive effect than the AG/GG genotype carriers [P = 0.014 for DBP and P = 0.042 for mean arterial pressure (MAP)], with a maximal reduction of DBP by 4.2 mmHg and MAP by 3.56 mmHg after azelnidipine or nitrendipine treatment at the 4th week. Similar tendency of DBP-change and MAP-change was found for imidapril (ACEI) treatment, in which marginally significances were achieved (P = 0.073 and 0.075, respectively). Against that, we found that TRIB3 (251, A > G) AG/GG genotype carriers benefited from antihypertensive therapy of ARBs with a larger DBP-change during the period of observation (P = 0.036). Additionally, stratified analysis revealed an obvious difference of the maximal blood pressure change (13 mmHg for the MAP between male and female patients with AA genotype who took ARBs). Although no significant difference in antihypertensive effect between TRIB3 (251, A > G) genotypes in patients treated with α, β-ADRs was observed, we found significant difference in age-, sex-dependent manner related to α, β-ADRs. In conclusion, our data supported that TRIB3 (251, A > G) genetic polymorphism may serve as a useful biomarker in the treatment of hypertension.
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Affiliation(s)
- Jiecan Zhou
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China.,Pharmacogenetics Research Institute, Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha, China.,National Clinical Research Center for Geriatrics, Xiangya Hospital, Central South University, Changsha, China.,Pharmacy Department, The First Affiliated Hospital, University of South China, Hengyang, China
| | - Fazhong He
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China.,Pharmacogenetics Research Institute, Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha, China.,National Clinical Research Center for Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Bao Sun
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China.,Pharmacogenetics Research Institute, Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha, China.,National Clinical Research Center for Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Rong Liu
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China.,Pharmacogenetics Research Institute, Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha, China.,National Clinical Research Center for Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Yongchao Gao
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China.,Pharmacogenetics Research Institute, Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha, China.,National Clinical Research Center for Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Huan Ren
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China.,Pharmacogenetics Research Institute, Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha, China.,National Clinical Research Center for Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Yan Shu
- Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, MD, United States
| | - Xiaoping Chen
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China.,Pharmacogenetics Research Institute, Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha, China.,National Clinical Research Center for Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Zhaoqian Liu
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China.,Pharmacogenetics Research Institute, Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha, China.,National Clinical Research Center for Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Honghao Zhou
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China.,Pharmacogenetics Research Institute, Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha, China.,National Clinical Research Center for Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Sheng Deng
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, China
| | - Heng Xu
- Department of Laboratory Medicine, Precision Medicine Center, and Precision Medicine Key Laboratory of Sichuan Province, Collaborative Innovation Center, West China Hospital, Sichuan University, Chengdu, China
| | - Jianmin Li
- Department of Respiratory Medicine, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, China
| | - Linyong Xu
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
| | - Wei Zhang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China.,Pharmacogenetics Research Institute, Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha, China.,National Clinical Research Center for Geriatrics, Xiangya Hospital, Central South University, Changsha, China
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9
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Sun B, He F, Sun L, Zhou J, Shen J, Xu J, Wu B, Liu R, Wang X, Xu H, Chen X, Zhou H, Liu Z, Zhang W. Cause-specific risk of major adverse cardiovascular outcomes and hypoglycemic in patients with type 2 diabetes: a multicenter prospective cohort study. Endocrine 2019; 63:44-51. [PMID: 30121774 DOI: 10.1007/s12020-018-1715-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2018] [Accepted: 08/09/2018] [Indexed: 02/05/2023]
Abstract
PURPOSE Glycated hemoglobin A1c (HbA1c) and fasting plasma glucose (FPG) was identified to account for the risk of cardiovascular diseases in type 2 diabetic patients, but no study evaluated the risk based on both HbA1c and FPG levels. We described the risk of major adverse cardiovascular events (MACE) and hypoglycemic in type 2 diabetic patients according to both HbA1c and FPG levels. METHODS With the usage of databases of Action in Diabetes and Vascular disease: preterAx and diamicroN-MR Controlled Evaluation (ADVANCE), 1815 patients from 61 centers in China was identified and grouped according to the criterion value of HbA1c and FPG: Good glycemic control (HbA1c < 6.5%, FPG < 6.1 mmol/L); Insufficient glycemic control (HbA1c < 6.5%, FPG ≥ 6.1 mmol/L or HbA1c ≥ 6.5%, FPG < 6.1 mmol/L); Poor glycemic control (HbA1c ≥ 6.5%, FPG ≥ 6.1 mmol/L). Time-varying multivariable Cox proportional hazards models were employed. RESULTS Average age was 64.8 ± 5.8 years, with a median of 4.8 years of follow-up. Overall, the incidence rates of MACE were 20.6 per 1000-person-years in Good glycemic control compared with 45.9 per 1000-person-years in Insufficient glycemic control (adjusted hazard ratio (aHR): 1.99; 95% CI 1.11-3.56; p = 0.02) and 54.7 per 1000-person-years in Poor glycemic control (aHR: 2.46; 95% CI 1.38-4.40; p = 0.002), respectively. The risk of hypoglycemic was highest in Insufficient glycemic control; 67.3 per 1000-person-years compared with 46.3 per 1000-person-years in Good glycemic control (aHR: 1.62; 95% CI 1.03-2.56; p = 0.04). Apart from this, we also observed that both MACE (aHR:1.41; 95% CI 1.13-1.77; p = 0.003) and hypoglycemic episodes (aHR: 1.82; 95% CI 1.48-2.24; p < 0.001) were sufficiently more frequent in the insulin-exposed group than the non-exposed group. In a post-hoc analysis, the risk of MACE (aHR:1.43; 95% CI 1.09-1.86; p = 0.01) and hypoglycemic (aHR: 1.99; 95% CI 1.46-2.69; p < 0.001) were more pronounced in Insufficient glycemic control with insulin exposure. CONCLUSIONS We observed a significant association of cause-specific risk of MACE and hypoglycemic with Insufficient glycemic control, particularly with insulin exposure.
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Affiliation(s)
- Bao Sun
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078, China
- Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of pharmacogenetics, Changsha, 410078, China
| | - Fazhong He
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078, China
- Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of pharmacogenetics, Changsha, 410078, China
| | - Lei Sun
- Data Analysis Technology Lab, School of Mathematics and Statistics, Henan University, Kaifeng, 475004, China
| | - Jiecan Zhou
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078, China
- Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of pharmacogenetics, Changsha, 410078, China
| | - Jiayi Shen
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078, China
- Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of pharmacogenetics, Changsha, 410078, China
| | - Jing Xu
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078, China
- Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of pharmacogenetics, Changsha, 410078, China
| | - Bin Wu
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078, China
- Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of pharmacogenetics, Changsha, 410078, China
| | - Rong Liu
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078, China
- Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of pharmacogenetics, Changsha, 410078, China
| | - Xingyu Wang
- Beijing Hypertension League Institute, 24 Shijingshan Road, Beijing, 100043, China
| | - Heng Xu
- Department of Laboratory Medicine, National Key Laboratory of Biotherapy/Collaborative Innovation Center of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaoping Chen
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078, China
- Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of pharmacogenetics, Changsha, 410078, China
| | - Honghao Zhou
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078, China
- Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of pharmacogenetics, Changsha, 410078, China
| | - Zhaoqian Liu
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078, China
- Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of pharmacogenetics, Changsha, 410078, China
| | - Wei Zhang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410078, China.
- Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of pharmacogenetics, Changsha, 410078, China.
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10
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He F, Shu Y, Wang X, Liu X, Liu G, Chen Z, Wang Z, Li L, Liu R, Zhou H, Xu H, Zhang W, Zhou G. Intensive Glucose Control Reduces the Risk Effect of TRIB3, SMARCD3, and ATF6 Genetic Variation on Diabetic Vascular Complications. Front Pharmacol 2018; 9:1422. [PMID: 30618737 PMCID: PMC6297143 DOI: 10.3389/fphar.2018.01422] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2018] [Accepted: 11/19/2018] [Indexed: 02/05/2023] Open
Abstract
Type 2 diabetes mellitus is a complex disease. Our previous study revealed that TRIB3 genetic variations were strongly associated with diabetic vascular complications, although TRIB3 regulation pathways remain poorly understood. We used two extreme treatment groups from a 2 × 2 factorial randomized controlled trial to identify a positive association, which was further validated in patients receiving cross treatment to test the effect of genetic polymorphisms among the different treatment groups. A gene-centric score (GS)-weighted model including the three associated genetic variations TRIB3 rs2295490, ATF6 rs12086247, and SMARCD3 rs58125572 was used. The results of the GS model indicated a 46% reduction in the risk of primary vascular complications in patients bearing more than two risk alleles [hazard ratio (HR) 0.54, 95% confidence interval (CI) 0.38-0.76, p < 0.001], following intensive glucose control treatment when compared with patients who received standard glucose control treatment. Furthermore, these patients benefited from active blood pressure-lowering treatment (HR 0.39, 95% CI 0.24-0.64, p < 0.001). However, no significant difference was observed between the two interventions in patients with fewer than two risk alleles (HR 1.09, 95% CI 0.86-1.39, p = 0.47). These results indicate that genetic variants in these three genes may be useful biomarkers for individualized drug therapy in diabetic patients.
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Affiliation(s)
- Fazhong He
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Pharmacogenetics, Pharmacogenetics Research Institute – Institute of Clinical Pharmacology, Central South University, Changsha, China
- National Clinical Research Center for Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Yan Shu
- Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, MD, United States
| | - Xingyu Wang
- Beijing Hypertension League Institute, Beijing, China
| | - Xin Liu
- Beijing Hypertension League Institute, Beijing, China
| | - Guojing Liu
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Pharmacogenetics, Pharmacogenetics Research Institute – Institute of Clinical Pharmacology, Central South University, Changsha, China
- National Clinical Research Center for Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Zhangren Chen
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Pharmacogenetics, Pharmacogenetics Research Institute – Institute of Clinical Pharmacology, Central South University, Changsha, China
- National Clinical Research Center for Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Zhenmin Wang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Pharmacogenetics, Pharmacogenetics Research Institute – Institute of Clinical Pharmacology, Central South University, Changsha, China
- National Clinical Research Center for Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Ling Li
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Pharmacogenetics, Pharmacogenetics Research Institute – Institute of Clinical Pharmacology, Central South University, Changsha, China
- National Clinical Research Center for Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Rong Liu
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Pharmacogenetics, Pharmacogenetics Research Institute – Institute of Clinical Pharmacology, Central South University, Changsha, China
- National Clinical Research Center for Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Honghao Zhou
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Pharmacogenetics, Pharmacogenetics Research Institute – Institute of Clinical Pharmacology, Central South University, Changsha, China
- National Clinical Research Center for Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Heng Xu
- Department of Laboratory Medicine, Precision Medicine Center, and Precision Medicine Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
- Sichuan and Collaborative Innovation Center, Chengdu, China
| | - Wei Zhang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Pharmacogenetics, Pharmacogenetics Research Institute – Institute of Clinical Pharmacology, Central South University, Changsha, China
- National Clinical Research Center for Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Gan Zhou
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China
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11
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Harrison TG, Tam-Tham H, Hemmelgarn BR, Elliott M, James MT, Ronksley PE, Jun M. Change in Proteinuria or Albuminuria as a Surrogate for Cardiovascular and Other Major Clinical Outcomes: A Systematic Review and Meta-analysis. Can J Cardiol 2018; 35:77-91. [PMID: 30595186 DOI: 10.1016/j.cjca.2018.10.014] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2018] [Revised: 10/04/2018] [Accepted: 10/25/2018] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND There is ongoing controversy around the surrogacy of proteinuria or albuminuria, particularly for cardiovascular (CV) outcomes, which remain the leading cause of morbidity and mortality among patients with chronic kidney disease. We performed a systematic review and meta-analysis of the literature to assess the surrogacy of changing proteinuria or albuminuria for CV events, end-stage renal disease (ESRD), and all-cause mortality. METHODS CENTRAL, EMBASE, and MEDLINE were searched (from inception to October 2017). All randomized controlled trials in adults that reported change in proteinuria or albuminuria and ≥ 10 CV, ESRD, or all-cause mortality events were included. We calculated treatment effect ratios (TERs), defined as the ratio of the treatment effect on a clinical outcome and the effect on the change in the surrogate outcome. TERs close to 1 indicate greater agreement between the clinical outcome and changing proteinuria or albuminuria. RESULTS Thirty-six trials were included in the meta-analysis. We observed inconsistent treatment effects for proteinuria and CV events (20 trials; TER 1.11 [95% confidence interval (CI), 1.01-1.22]) with moderate heterogeneity (I2 = 51%, P = 0.005). Treatment effects on proteinuria or albuminuria were also inconsistent with the effects on all-cause mortality (21 trials; TER 1.17 [95% CI, 1.07-1.28]; I2 = 35%, P for heterogeneity = 0.06), although they were similar with the effects on ESRD (23 trials; TER 0.99 [95% CI, 0.88-1.13]; I2 = 9%, P for heterogeneity = 0.337). CONCLUSIONS Change in proteinuria or albuminuria might be a suitable surrogate outcome for ESRD. However, overall treatment effects on these potential surrogates are inconsistent and overestimate the treatment effects on CV events and all-cause mortality.
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Affiliation(s)
- Tyrone G Harrison
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Helen Tam-Tham
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Brenda R Hemmelgarn
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; O'Brien Institute for Public Health, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Libin Cardiovascular Institute of Alberta, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Meghan Elliott
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Matthew T James
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; O'Brien Institute for Public Health, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Libin Cardiovascular Institute of Alberta, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Paul E Ronksley
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Min Jun
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada; The George Institute for Global Health, University of New South Wales, Sydney, Australia.
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12
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Ding CZ, Guo XF, Wang GL, Wang HT, Xu GH, Liu YY, Wu ZJ, Chen YH, Wang J, Wang WG. High glucose contributes to the proliferation and migration of non-small cell lung cancer cells via GAS5-TRIB3 axis. Biosci Rep 2018; 38:BSR20171014. [PMID: 29367413 PMCID: PMC5857909 DOI: 10.1042/bsr20171014] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2017] [Revised: 11/29/2017] [Accepted: 01/23/2018] [Indexed: 01/01/2023] Open
Abstract
Despite the growing number of studies exhibited an association of diabetes mellitus (DM) and lung cancer progression, the concrete mechanism of DM aggravating lung cancer has not been elucidated. This study was to investigate whether and how high glucose (HG) contribute to the proliferation and migration of non-small cell lung cancer (NSCLC) cells in vitro. In the present study, we confirmed that HG promoted the proliferation and migration of NSCLC cells, and also induced an anti-apoptosis effect on NSCLC cells. Moreover, HG inhibited the expression of GAS5 in NSCLC cells but elevated the protein level of TRIB3. GAS5 overexpression promoted the degradation of TRIB3 protein by ubiquitination and inhibited the HG induced-proliferation, anti-apoptosis and migration of NSCLC cells. Importantly, TRIB3 overexpression reversed the effects of GAS5 on the HG-treated NSCLC cells. Taken together, down-regulated GAS5 by HG significantly enhanced the proliferation, anti-apoptosis and migration in NSCLC cells through TRIB3, thus promoting the carcinogenesis of NSCLC.
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Affiliation(s)
- Cheng-Zhi Ding
- Department of Thoracic Oncology, Henan Provincial Chest Hospital, Zhengzhou, China
| | - Xu-Feng Guo
- Department of Thoracic Surgery, Shanghai Chest Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Guo-Lei Wang
- Department of Thoracic Oncology, Henan Provincial Chest Hospital, Zhengzhou, China
| | - Hong-Tao Wang
- Department of Thoracic Oncology, Henan Provincial Chest Hospital, Zhengzhou, China
| | - Guang-Hui Xu
- Department of Thoracic Oncology, Henan Provincial Chest Hospital, Zhengzhou, China
| | - Yuan-Yuan Liu
- Department of Thoracic Surgery, Henan Provincial Chest Hospital, Zhengzhou, China
| | - Zhen-Jiang Wu
- Department of Thoracic Oncology, Henan Provincial Chest Hospital, Zhengzhou, China
| | - Yu-Hang Chen
- Department of Thoracic Oncology, Henan Provincial Chest Hospital, Zhengzhou, China
| | - Jiao Wang
- Division of Endocrinology, Department of Internal Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Wen-Guang Wang
- Department of Thoracic Oncology, Henan Provincial Chest Hospital, Zhengzhou, China
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