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Xu H, Gu M, Zheng X, Xia Y, Qian Y, Guan J, Yi H, Li X, Jia W, Yin S. An integrated meta-omics based approach in pediatric obstructive sleep apnea syndrome. Sleep Med 2017. [DOI: 10.1016/j.sleep.2017.11.1032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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52
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Jia W, Addison A, Al-Omari B. The Funky Grommet Trainer. Int J Surg 2017. [DOI: 10.1016/j.ijsu.2017.08.233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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Bucher T, Weltert M, Rollo ME, Smith SP, Jia W, Collins CE, Sun M. The international food unit: a new measurement aid that can improve portion size estimation. Int J Behav Nutr Phys Act 2017; 14:124. [PMID: 28899402 PMCID: PMC5596841 DOI: 10.1186/s12966-017-0583-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2017] [Accepted: 09/05/2017] [Indexed: 02/08/2023] Open
Abstract
Background Portion size education tools, aids and interventions can be effective in helping prevent weight gain. However consumers have difficulties in estimating food portion sizes and are confused by inconsistencies in measurement units and terminologies currently used. Visual cues are an important mediator of portion size estimation, but standardized measurement units are required. In the current study, we present a new food volume estimation tool and test the ability of young adults to accurately quantify food volumes. The International Food Unit™ (IFU™) is a 4x4x4 cm cube (64cm3), subdivided into eight 2 cm sub-cubes for estimating smaller food volumes. Compared with currently used measures such as cups and spoons, the IFU™ standardizes estimation of food volumes with metric measures. The IFU™ design is based on binary dimensional increments and the cubic shape facilitates portion size education and training, memory and recall, and computer processing which is binary in nature. Methods The performance of the IFU™ was tested in a randomized between-subject experiment (n = 128 adults, 66 men) that estimated volumes of 17 foods using four methods; the IFU™ cube, a deformable modelling clay cube, a household measuring cup or no aid (weight estimation). Estimation errors were compared between groups using Kruskall-Wallis tests and post-hoc comparisons. Results Estimation errors differed significantly between groups (H(3) = 28.48, p < .001). The volume estimations were most accurate in the group using the IFU™ cube (Mdn = 18.9%, IQR = 50.2) and least accurate using the measuring cup (Mdn = 87.7%, IQR = 56.1). The modelling clay cube led to a median error of 44.8% (IQR = 41.9). Compared with the measuring cup, the estimation errors using the IFU™ were significantly smaller for 12 food portions and similar for 5 food portions. Weight estimation was associated with a median error of 23.5% (IQR = 79.8). Conclusions The IFU™ improves volume estimation accuracy compared to other methods. The cubic shape was perceived as favourable, with subdivision and multiplication facilitating volume estimation. Further studies should investigate whether the IFU™ can facilitate portion size training and whether portion size education using the IFU™ is effective and sustainable without the aid. A 3-dimensional IFU™ could serve as a reference object for estimating food volume. Electronic supplementary material The online version of this article (10.1186/s12966-017-0583-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- T Bucher
- Department of Health Sciences and Technology, ETH Zurich, Universitätsrasse 16, 8092, Zurich, Switzerland. .,Priority Research Centre for Physical Activity and Nutrition, Faculty of Health and medicine, The University of Newcastle, Newcastle, Australia.
| | - M Weltert
- Department of Health Sciences and Technology, ETH Zurich, Universitätsrasse 16, 8092, Zurich, Switzerland.,Priority Research Centre for Physical Activity and Nutrition, Faculty of Health and medicine, The University of Newcastle, Newcastle, Australia
| | - M E Rollo
- Priority Research Centre for Physical Activity and Nutrition, Faculty of Health and medicine, The University of Newcastle, Newcastle, Australia
| | - S P Smith
- School of Electrical Engineering and Computing, The University of Newcastle, Newcastle, Australia
| | - W Jia
- Departments of Neurosurgery, University of Pittsburgh, Pittsburgh, USA
| | - C E Collins
- Priority Research Centre for Physical Activity and Nutrition, Faculty of Health and medicine, The University of Newcastle, Newcastle, Australia
| | - M Sun
- Departments of Neurosurgery, University of Pittsburgh, Pittsburgh, USA
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Wang J, Yan D, Hou X, Chen P, Sun Q, Bao Y, Hu C, Zhang Z, Jia W. Association of adiposity indices with bone density and bone turnover in the Chinese population. Osteoporos Int 2017; 28:2645-2652. [PMID: 28555285 DOI: 10.1007/s00198-017-4081-5] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2016] [Accepted: 05/04/2017] [Indexed: 11/28/2022]
Abstract
UNLABELLED Associations of adiposity indices with bone mineral density (BMD) and bone turnover markers were evaluated in Chinese participants. Body mass index, fat mass, and lean mass are positively related to BMD in both genders. Subcutaneous fat area was proved to be negatively associated with BMD and positively correlated with osteocalcin in postmenopausal females. INTRODUCTION Obesity is highly associated with osteoporosis, but the effect of adipose tissue on bone is contradictory. Our study aimed to assess the associations of adiposity indices with bone mineral density (BMD) and bone turnover markers (BTMs) in the Chinese population. METHODS Our study recruited 5215 participants from the Shanghai area, evaluated related anthropometric and biochemical traits in all participants, tested serum BTMs, calculated fat distribution using magnetic resonance imaging (MRI) images and image analysis software, and tested BMD with dual-energy X-ray absorptiometry. RESULTS When controlled for age, all adiposity indices were positively correlated with BMD of all sites for both genders. As for the stepwise regression analysis, body mass index (BMI), fat mass, and lean mass were protective for BMD in both genders. However, subcutaneous fat area (SFA) was detrimental for BMD of the L1-4 and femoral neck (β ± SE -0.0742 ± 0.0174; p = 2.11E-05; β ± SE -0.0612 ± 0.0147; p = 3.07E-05). Adiposity indices showed a negative correlation with BTMs adjusting for age, especially with osteocalcin. In the stepwise regression analysis, fat mass was negatively correlated with osteocalcin (β ± SE -8.8712 ± 1.4902; p = 4.17E-09) and lean mass showed a negative correlation with N-terminal procollagen of type I collagen (PINP) for males (β ± SE -0.3169 ± 0.0917; p = 0.0006). In females, BMI and visceral fat area (VFA) were all negatively associated with osteocalcin (β ± SE -0.4423 ± 0.0663; p = 2.85E-11; β ± SE -7.1982 ± 1.1094; p = 9.95E-11), while SFA showed a positive correlation with osteocalcin (β ± SE: 5.5993 ± 1.1753; p = 1.98E-06). CONCLUSION BMI, fat mass, and lean mass are proved to be beneficial for BMD in both males and postmenopausal females. SFA is negatively associated with BMD and positively correlated with osteocalcin in postmenopausal females.
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Affiliation(s)
- J Wang
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China
- Department of Osteoporosis, Metabolic Bone Disease and Genetic Research Unit, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China
| | - D Yan
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China
| | - X Hou
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China
| | - P Chen
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China
| | - Q Sun
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China
| | - Y Bao
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China
| | - C Hu
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China.
- Shanghai Jiao Tong University Affiliated Sixth People's Hospital, South Campus, Shanghai, 201499, China.
| | - Z Zhang
- Department of Osteoporosis, Metabolic Bone Disease and Genetic Research Unit, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China.
| | - W Jia
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China
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Yang X, Sun L, Zhao A, Hu X, Qing Y, Jiang J, Yang C, Xu T, Wang P, Liu J, Zhang J, He L, Jia W, Wan C. Serum fatty acid patterns in patients with schizophrenia: a targeted metabonomics study. Transl Psychiatry 2017; 7:e1176. [PMID: 28742081 PMCID: PMC5538128 DOI: 10.1038/tp.2017.152] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2017] [Revised: 04/25/2017] [Accepted: 06/07/2017] [Indexed: 12/21/2022] Open
Abstract
Previous studies have indicated that schizophrenia is linked to abnormal lipid metabolism. Free fatty acids (FFAs) in peripheral blood can reflect the status of lipid metabolism in human body. The purpose of this study was to scan the FFA pattern and elucidate the characteristics of lipid metabolic abnormality in schizophrenia patients. One hundred and ten patients with schizophrenia (SCZs) and 109 healthy controls (HCs) were included in the study and divided into a discovery set and a validation set. Forty-seven serum FFAs were detected by UPLC-QTOF-MS and 39 of them were absolutely quantified by establishing standard curves. Monounsaturated fatty acids (MUFAs) and ω-6 polyunsaturated fatty acids (ω-6 PUFAs) were significantly increased in SCZs compared with HCs. Desaturation from saturated fatty acids to MUFAs and β-oxidation were enhanced, as estimated by the ratios of products to precursors. These results suggest that lipolysis and β-oxidation are upregulated in SCZ, presumably resulting from insufficient brain energy supply.
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Affiliation(s)
- X Yang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Key Laboratory of Translational Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University, Shanghai, China
| | - L Sun
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Key Laboratory of Translational Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University, Shanghai, China
| | - A Zhao
- Center for Translational Medicine and Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - X Hu
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Key Laboratory of Translational Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University, Shanghai, China
| | - Y Qing
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Key Laboratory of Translational Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University, Shanghai, China
| | - J Jiang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Key Laboratory of Translational Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University, Shanghai, China
| | - C Yang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Key Laboratory of Translational Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University, Shanghai, China
| | - T Xu
- Discipline of Neuroscience, Department of Anatomy, Histology and Embryology, Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - P Wang
- The Fourth People’s Hospital of Wuhu, Wuhu, China
| | - J Liu
- Center for Translational Medicine and Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - J Zhang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Key Laboratory of Translational Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University, Shanghai, China
| | - L He
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Key Laboratory of Translational Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University, Shanghai, China
| | - W Jia
- Center for Translational Medicine and Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China,Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China E-mail:
| | - C Wan
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Key Laboratory of Translational Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University, Shanghai, China,Collaborative Innovation Center of Genetics and Development, Shanghai, China,Bio-X Institutes, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China. E-mail:
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Dang Z, Zhang X, Luo X, Gao Z, Jia W, Xiao N, Huang F, Zhao Y, Xu S, Hu W, Zheng Y. Limited fertility of the subcutaneous cysts of Echinococcus multilocularis. Trop Biomed 2017; 34:491-493. [PMID: 33593034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Echinococcus multilocularis is a tiny devastating worm that causes alveolar echinococcosis in humans. This disease mainly occurs in the liver but rarely in other organs. We report the subcutaneous encystment of E. multilocularis metacestodes in experimentally infected mice. Subcutaneous cysts had remarkably fewer protoscoleces (2.05 ± 1.47, n = 20) and small irregular-shape vesicles (ISVs) in the lumen as compared to liver cysts (69.6 ± 55.65, n = 10). Moreover, abnormal development of a protoscolex was also observed in a subcutaneous cyst. The results suggest that subcutaneous encystment may have potential adverse effects on the reproductivity and development of protoscoleces, providing potential explanations for high tissue preference of metacestode encystment.
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Affiliation(s)
- Z Dang
- Key Laboratory on Biology of Parasite and Vector, Ministry of Health, Shanghai, China; National Center for International Research on Tropical Diseases, Shanghai, China; WHO Collaborating Center for Tropical Diseases, Shanghai, China; National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai 200025, China
| | - X Zhang
- State Key Laboratory of Veterinary Etiological Biology, Key Laboratory of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, CAAS, Lanzhou, Gansu 730046, China
| | - X Luo
- State Key Laboratory of Veterinary Etiological Biology, Key Laboratory of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, CAAS, Lanzhou, Gansu 730046, China
| | - Z Gao
- State Key Laboratory of Veterinary Etiological Biology, Key Laboratory of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, CAAS, Lanzhou, Gansu 730046, China
| | | | - N Xiao
- Key Laboratory on Biology of Parasite and Vector, Ministry of Health, Shanghai, China; National Center for International Research on Tropical Diseases, Shanghai, China; WHO Collaborating Center for Tropical Diseases, Shanghai, China; National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai 200025, China
| | - F Huang
- Parasitology Laboratory, School of Veterinary Medicine, Faculty of Agriculture, Tottori University, Tottori 680-8553, Japan
| | - Y Zhao
- Department of Biomedical Engineering, College of Biotechnology, Guilin Medical University, Guilin, Guangxi 541004, China
| | - S Xu
- Key Laboratory on Biology of Parasite and Vector, Ministry of Health, Shanghai, China; National Center for International Research on Tropical Diseases, Shanghai, China; WHO Collaborating Center for Tropical Diseases, Shanghai, China; National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai 200025, China
- Department of Biomedical Engineering, College of Biotechnology, Guilin Medical University, Guilin, Guangxi 541004, China
| | - W Hu
- Key Laboratory on Biology of Parasite and Vector, Ministry of Health, Shanghai, China; National Center for International Research on Tropical Diseases, Shanghai, China; WHO Collaborating Center for Tropical Diseases, Shanghai, China; National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai 200025, China
| | - Y Zheng
- State Key Laboratory of Veterinary Etiological Biology, Key Laboratory of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, CAAS, Lanzhou, Gansu 730046, China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou 225009, China
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Wang T, Ma X, Tang T, Higuchi K, Peng D, Zhang R, Chen M, Yan J, Wang S, Yan D, He Z, Jiang F, Bao Y, Jia W, Ishida K, Hu C. The effect of glucose-dependent insulinotropic polypeptide (GIP) variants on visceral fat accumulation in Han Chinese populations. Nutr Diabetes 2017; 7:e278. [PMID: 28530680 PMCID: PMC5518809 DOI: 10.1038/nutd.2017.28] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2017] [Revised: 04/05/2017] [Accepted: 04/06/2017] [Indexed: 11/09/2022] Open
Abstract
Objectives: We aim to validate the effects of glucose-dependent insulinotropic polypeptide (GIP) on fat distribution and glucose metabolism in Han Chinese populations. Methods: We genotyped six tag single-nucleotide polymorphisms (SNPs) of GIP and four tag SNPs of glucose-dependent insulinotropic polypeptide receptor (GIPR) among 2884 community-based individuals from Han Chinese populations. Linear analysis was applied to test the associations of these variants with visceral fat area (VFA) and subcutaneous fat area (SFA) quantified by magnetic resonance imaging as well as glucose-related traits. Results: We found that the C allele of rs4794008 of GIP tended to increase the VFA and the VFA/SFA ratio in all subjects (P=0.050 and P=0.054, respectively), and rs4794008 was associated with the VFA/SFA ratio in males (P=0.041) after adjusting for the BMI. The VFA-increasing allele of rs4794008 was not related to any glucose metabolism traits. However, rs9904288 of GIP was associated with the SFA in males as well as glucose-related traits in all subjects (P range, 0.004–0.049), and the GIPR variants displayed associations with both fat- and glucose-related traits. Conclusions: The results could provide the evidence that GIP might modulate visceral fat accumulation via incretin function or independent of incretin.
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Affiliation(s)
- T Wang
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - X Ma
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - T Tang
- Laboratory of Cardiovascular Immunology, Institute of Cardiology, Union Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China
| | - K Higuchi
- Kao (China) Research &Development Center Company Limited, Shanghai, China
| | - D Peng
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - R Zhang
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - M Chen
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - J Yan
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - S Wang
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - D Yan
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Z He
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - F Jiang
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Y Bao
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - W Jia
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - K Ishida
- Kao (China) Research &Development Center Company Limited, Shanghai, China
| | - C Hu
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Institute for Metabolic Diseases, Department of Endocrinology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital South Campus, Shanghai, China
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Han J, Yu H, Tu Y, Pang J, Liu F, Bao Y, Yang W, Jia W. Different clinical prognostic factors are associated with improved glycaemic control: findings from MARCH randomized trial. Diabet Med 2017; 34:490-499. [PMID: 27151271 DOI: 10.1111/dme.13154] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/03/2016] [Indexed: 12/25/2022]
Abstract
AIMS Metformin and acarbose have comparable efficacy as initial therapy for HbA1c reduction in Chinese patients with newly diagnosed Type 2 diabetes. However, not all participants achieved glycaemic control. Our aim was to discover a monotherapy predictor for therapeutic response in Type 2 diabetes on the basis of baseline features. METHODS Data from the MARCH trial were collected, resulting in 698 individuals being available for longitudinal analyses. All participants were divided into subgroups based on successful and unsuccessful achievement of the glycaemic target according to primary endpoints at week 24 (HbA1c < 53 mmol/mol; 7.0%). Logistic regression analysis with stepwise variable selection was performed to assess the independent risk factors for good glycaemic control of monotherapy with metformin or acarbose. RESULTS Median HbA1c was 66 ± 1 mmol/mol (8.2 ± 0.07%) in the metformin group at baseline, and 66 ± 1 mmol/mol (8.2 ± 0.07%) in the acarbose group. After 24 weeks of monotherapy, 79.8% of participants in the metformin group achieved glycaemic targets compared with 78.7% of those in the acarbose group. Multivariate regression analysis showed that BMI and fasting blood glucose were significant independent predictors for the maintenance of good glycaemic control in the metformin group, whereas phase I insulin secretion (Insulin/Glucose at 30 min, I30/G30) and duration of diabetes were associated with good glycaemic control in the acarbose group. CONCLUSIONS For newly diagnosed Type 2 diabetes, some clinical features and laboratory parameters are important prognostic factors for predicting drug responsiveness. Participants with a higher BMI and lower fasting blood glucose achieved good glycaemic control when metformin was selected as the initial treatment. Acarbose was best for participants with higher phase I insulin secretion (I30/G30) and shorter duration of Type 2 diabetes.
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Affiliation(s)
- J Han
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai
| | - H Yu
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai
| | - Y Tu
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai
| | - J Pang
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai
| | - F Liu
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai
| | - Y Bao
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai
| | - W Yang
- Department of Endocrinology, China-Japan Friendship Hospital, Beijing, China
| | - W Jia
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai
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Hu X, Ma X, Luo Y, Xu Y, Xiong Q, Pan X, Bao Y, Jia W. Contribution of fibroblast growth factor 23 to Framingham risk score for identifying subclinical atherosclerosis in Chinese men. Nutr Metab Cardiovasc Dis 2017; 27:147-153. [PMID: 28017526 DOI: 10.1016/j.numecd.2016.11.009] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2016] [Revised: 10/11/2016] [Accepted: 11/14/2016] [Indexed: 11/30/2022]
Abstract
BACKGROUND AND AIMS Fibroblast growth factor 23 (FGF23) was demonstrated to be involved in the occurrence and development of cardiovascular disease (CVD). The goal of the present study was to investigate the relationship between serum FGF23 levels and carotid intima-media thickness (C-IMT) in men with a low-to-moderate CVD risk. METHODS AND RESULTS Subjects with normal kidney function were selected from the Shanghai Obesity Study. Serum FGF23 levels were determined by sandwich enzyme-linked immunosorbent assay. C-IMT was measured by ultrasonography. The Framingham risk score (FRS) was used to assess CVD risk. A total of 392 men with low CVD risk and 372 men with moderate CVD risk were enrolled. The recognition rate of an elevated C-IMT was 85.66% with the combination of a moderate CVD risk and high serum FGF23 levels, which was greater than that with either parameter alone (65.44% and 61.03%, respectively). Subjects with high serum FGF23 levels, and either low or moderate CVD risk, were more likely to have elevated C-IMT than those with low serum FGF23 levels and low CVD risk (P = 0.014 and 0.001, respectively). The serum FGF23 levels were independently and positively associated with C-IMT in subjects with low or moderate CVD risk (both P = 0.007). CONCLUSION In men with low-to-moderate CVD risk, serum FGF23 levels were associated independently and positively with C-IMT. As a complementary index, serum FGF23 levels strengthen the capacity of the FRS to identify subclinical atherosclerosis.
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Affiliation(s)
- X Hu
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China; Shanghai Clinical Center for Diabetes, Shanghai 200233, China; Shanghai Key Clinical Center for Metabolic Disease, Shanghai 200233, China; Shanghai Diabetes Institute, Shanghai 200233, China; Shanghai Key Laboratory of Diabetes Mellitus, Shanghai 200233, China
| | - X Ma
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China; Shanghai Clinical Center for Diabetes, Shanghai 200233, China; Shanghai Key Clinical Center for Metabolic Disease, Shanghai 200233, China; Shanghai Diabetes Institute, Shanghai 200233, China; Shanghai Key Laboratory of Diabetes Mellitus, Shanghai 200233, China
| | - Y Luo
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China; Shanghai Clinical Center for Diabetes, Shanghai 200233, China; Shanghai Key Clinical Center for Metabolic Disease, Shanghai 200233, China; Shanghai Diabetes Institute, Shanghai 200233, China; Shanghai Key Laboratory of Diabetes Mellitus, Shanghai 200233, China
| | - Y Xu
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China; Shanghai Clinical Center for Diabetes, Shanghai 200233, China; Shanghai Key Clinical Center for Metabolic Disease, Shanghai 200233, China; Shanghai Diabetes Institute, Shanghai 200233, China; Shanghai Key Laboratory of Diabetes Mellitus, Shanghai 200233, China
| | - Q Xiong
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China; Shanghai Clinical Center for Diabetes, Shanghai 200233, China; Shanghai Key Clinical Center for Metabolic Disease, Shanghai 200233, China; Shanghai Diabetes Institute, Shanghai 200233, China; Shanghai Key Laboratory of Diabetes Mellitus, Shanghai 200233, China
| | - X Pan
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China; Shanghai Clinical Center for Diabetes, Shanghai 200233, China; Shanghai Key Clinical Center for Metabolic Disease, Shanghai 200233, China; Shanghai Diabetes Institute, Shanghai 200233, China; Shanghai Key Laboratory of Diabetes Mellitus, Shanghai 200233, China
| | - Y Bao
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China; Shanghai Clinical Center for Diabetes, Shanghai 200233, China; Shanghai Key Clinical Center for Metabolic Disease, Shanghai 200233, China; Shanghai Diabetes Institute, Shanghai 200233, China; Shanghai Key Laboratory of Diabetes Mellitus, Shanghai 200233, China.
| | - W Jia
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China; Shanghai Clinical Center for Diabetes, Shanghai 200233, China; Shanghai Key Clinical Center for Metabolic Disease, Shanghai 200233, China; Shanghai Diabetes Institute, Shanghai 200233, China; Shanghai Key Laboratory of Diabetes Mellitus, Shanghai 200233, China
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Qin X, Shi Z, Xie Y, Wang L, Rong X, Jia W, Zhang W, Du J. An integrated device with high performance multi-function generators and time-to-digital convertors. Rev Sci Instrum 2017; 88:014702. [PMID: 28147660 DOI: 10.1063/1.4973725] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
A highly integrated, high performance, and re-configurable device, which is designed for the Nitrogen-Vacancy (N-V) center based quantum applications, is reported. The digital compartment of the device is fully implemented in a Field-Programmable-Gate-Array (FPGA). The digital compartment is designed to manage the multi-function digital waveform generation and the time-to-digital convertors. The device provides two arbitrary-waveform-generator channels which operate at a 1 Gsps sampling rate with a maximum bandwidth of 500 MHz. There are twelve pulse channels integrated in the device with a 50 ps time resolution in both duration and delay. The pulse channels operate with the 3.3 V transistor-transistor logic. The FPGA-based time-to-digital convertor provides a 23-ps time measurement precision. A data accumulation module, which can record the input count rate and the distributions of the time measurement, is also available. A digital-to-analog convertor board is implemented as the analog compartment, which converts the digital waveforms to analog signals with 500 MHz lowpass filters. All the input and output channels of the device are equipped with 50 Ω SubMiniature version A termination. The hardware design is modularized thus it can be easily upgraded with compatible components. The device is suitable to be applied in the quantum technologies based on the N-V centers, as well as in other quantum solid state systems, such as quantum dots, phosphorus doped in silicon, and defect spins in silicon carbide.
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Affiliation(s)
- X Qin
- CAS Key Laboratory of Microscale Magnetic Resonance and Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - Z Shi
- CAS Key Laboratory of Microscale Magnetic Resonance and Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - Y Xie
- CAS Key Laboratory of Microscale Magnetic Resonance and Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - L Wang
- CAS Key Laboratory of Microscale Magnetic Resonance and Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - X Rong
- CAS Key Laboratory of Microscale Magnetic Resonance and Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - W Jia
- CAS Key Laboratory of Microscale Magnetic Resonance and Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - W Zhang
- CAS Key Laboratory of Microscale Magnetic Resonance and Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - J Du
- CAS Key Laboratory of Microscale Magnetic Resonance and Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
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Zhang Y, Chen H, Lu H, Shen Y, Chen R, Fang P, Du X, Bao Y, Wang C, Jia W. Prevalence and risk of diabetes based on family history in the Shanghai High-Risk Diabetic Screen (SHiDS) study. Diabet Med 2016; 33:1705-1711. [PMID: 26511673 DOI: 10.1111/dme.13013] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2015] [Revised: 09/08/2015] [Accepted: 10/26/2015] [Indexed: 12/26/2022]
Abstract
AIMS To evaluate the prevalence and risk of diabetes based on family history in high-risk subjects and also to evaluate insulin sensitivity and insulin secretion in these subjects. METHODS Data were analysed from 9756 participants in the Shanghai High-Risk Diabetic Screen (SHiDS) Project. Family history of diabetes was classified according to parental and sibling diabetes status. The prevalence and odds ratios were calculated for each grouping after adjusting for other risk factors. Insulin resistance and sensitivity were evaluated using oral glucose tolerance test-derived indices that were validated by hyperinsulinaemic-euglycaemic and hyperglycaemic clamps. RESULTS A total of 30.4% of the subjects had a family history of diabetes in a first-degree relative. The proportions of subjects with a father, mother or sibling with diabetes were 7.5, 11.9 and 5.5%, respectively. The prevalence rates of diabetes in subjects with sibling history, maternal history or paternal history of diabetes were 39.3, 38.3 and 36.4%, respectively. Sibling history was a strong risk factor for diabetes (odds ratio 1.53, 95% CI 1.27-1.84; P < 0.05). Insulin secretion was significantly lower in those with a maternal or sibling history of diabetes; however, insulin sensitivity was not significantly different among subjects with a family history of diabetes. CONCLUSIONS Sibling history of diabetes was more strongly associated with diabetes risk than parental history among high-risk subjects. Subjects with a sibling or maternal history of diabetes had significantly lower insulin secretion. Sibling history is an important and independent risk factor for diabetes even among multi-risk populations. Those with a sibling history of diabetes warrant intensive care and follow-up screening.
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Affiliation(s)
- Y Zhang
- Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Key Laboratory of Diabetes, Shanghai, China
- Center for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
- The Metabolic Diseases Biobank, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - H Chen
- Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Key Laboratory of Diabetes, Shanghai, China
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Medical Center of Diabetes, Shanghai Key Clinical Centre of Diabetes, Shanghai Diabetes Institute, Shanghai, China
| | - H Lu
- Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Key Laboratory of Diabetes, Shanghai, China
- The Metabolic Diseases Biobank, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Y Shen
- Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Key Laboratory of Diabetes, Shanghai, China
- The Metabolic Diseases Biobank, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - R Chen
- Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Key Laboratory of Diabetes, Shanghai, China
- The Metabolic Diseases Biobank, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - P Fang
- Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Key Laboratory of Diabetes, Shanghai, China
- The Metabolic Diseases Biobank, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - X Du
- Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Key Laboratory of Diabetes, Shanghai, China
- The Metabolic Diseases Biobank, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Y Bao
- Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Key Laboratory of Diabetes, Shanghai, China
- The Metabolic Diseases Biobank, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - C Wang
- Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Key Laboratory of Diabetes, Shanghai, China
- The Metabolic Diseases Biobank, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - W Jia
- Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Key Laboratory of Diabetes, Shanghai, China
- The Metabolic Diseases Biobank, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Medical Center of Diabetes, Shanghai Key Clinical Centre of Diabetes, Shanghai Diabetes Institute, Shanghai, China
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Yuan C, Tang L, Zhang Q, Jia W, Chen M. Contrast-enhanced ultrasound for evaluating the response of breast cancer to neoadjuvant chemotherapy: Time-intensity curve analysis and texture analysis. Ann Oncol 2016. [DOI: 10.1093/annonc/mdw365.86] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Jia W, Sun JY, Jia KY, Liu XC. Role of GSTM1, GSTT1, and GSTP1 IIe105Val gene polymorphisms in the response to chemotherapy and overall survival of advanced non-small cell lung cancer. Genet Mol Res 2016; 15:gmr7668. [PMID: 27706763 DOI: 10.4238/gmr.15037668] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
We evaluated the association between GSTM1, GSTT1, and GSTP1 IIe105Val gene polymorphisms and treatment outcomes of advanced non-small cell lung carcinoma. Between January 2010 and December 2012, a total of 244 patients with non-small cell lung carcinoma were recruited from Yiwu Central Hospital. The GSTM1, GSTT1, and GSTP1 IIe105Val gene polymorphisms were analyzed by polymerase chain reaction-restriction fragment length polymorphism and the results were statistically analyzed. Conditional regression analysis, showed that individuals carrying the null GSTM1 were associated with an increased risk of response to chemotherapy when compared to the present GSTM1 (odds ratio = 1.88, 95% confidence interval (CI) = 1.01-3.47). Moreover, the GG genotype of GSTP1 IIe105Val was associated with a better response to chemotherapy compared to the AA genotype (odds ratio = 2.77, 95%CI = 1.14-6.64). The null GSTM1 genotype was associated with a lower risk of death from all causes when compared with the present GSTM1 genotype (hazard ratio = 2.16, 95%CI = 1.10-4.38). Moreover, the GG genotype of GSTP1 IIe105Val was correlated with a reduced risk of death from all causes compared with the AA genotype (hazard ratio = 2.94, 95%CI = 1.11-8.68). In conclusion, we found that the null GSTM1 and the GG genotype of GSTP1 IIe105Val were correlated with a good response to chemotherapy and improved overall survival of advanced non-small cell lung carcinoma patients.
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Affiliation(s)
- W Jia
- Pulmonary Department, Yiwu Central Hospital, Zhejiang, China
| | - J Y Sun
- Departments of Endoscopy and Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - K Y Jia
- Wannan Medical College, Wuhu, Anhui, China
| | - X C Liu
- Pulmonary Department, Chizhou People's Hospital, Anhui, China
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Luk AO, Li X, Zhang Y, Guo X, Jia W, Li W, Weng J, Yang W, Chan WB, Ozaki R, Tsang CC, Mukhopadhyay M, Ojha AK, Hong EG, Yoon KH, Sobrepena L, Toledo RM, Duran M, Sheu W, Q Do T, Nguyen TK, Ma RC, Kong AP, Chow CC, Tong PC, So WY, Chan JC. Quality of care in patients with diabetic kidney disease in Asia: The Joint Asia Diabetes Evaluation (JADE) Registry. Diabet Med 2016; 33:1230-9. [PMID: 26511783 DOI: 10.1111/dme.13014] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/26/2015] [Indexed: 12/18/2022]
Abstract
AIMS Diabetic kidney disease independently predicts cardiovascular disease and premature death. We examined the burden of chronic kidney disease (CKD, defined as an estimated GFR < 60 ml/min/1.73 m(2) ) and quality of care in a cross-sectional survey of adults (age ≥ 18 years) with Type 2 diabetes across Asia. METHODS The Joint Asia Diabetes Evaluation programme is a disease-management programme implemented using an electronic portal that systematically captures clinical characteristics of all patients enrolled. Between July 2007 and December 2012, data on 28 110 consecutively enrolled patients (China: 3415, Hong Kong: 15 196, India: 3714, Korea: 1651, Philippines: 3364, Vietnam: 692, Taiwan: 78) were analysed. RESULTS In this survey, 15.9% of patients had CKD, 25.0% had microalbuminuria and 12.5% had macroalbuminuria. Patients with CKD were less likely to achieve HbA1c < 53 mmol/mol (7.0%) (36.0% vs. 42.3%) and blood pressure < 130/80 mmHg (20.8% vs. 35.3%), and were more likely to have retinopathy (26.2% vs. 8.7%), sensory neuropathy (29.0% vs. 7.7%), cardiovascular disease (26.6% vs. 8.7%) and self-reported hypoglycaemia (18.9% vs. 8.2%). Despite high frequencies of albuminuria (74.8%) and dyslipidaemia (93.0%) among CKD patients, only 49.0% were using renin-angiotensin system inhibitors and 53.6% were on statins. On logistic regression, old age, male gender, tobacco use, long disease duration, high HbA1c , blood pressure and BMI, and low LDL cholesterol were independently associated with CKD (all P < 0.05). CONCLUSIONS The poor control of risk factors, suboptimal use of organ-protective drugs and high frequencies of hypoglycaemia highlight major treatment gaps in patients with diabetic kidney disease in Asia.
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Affiliation(s)
- A O Luk
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - X Li
- Asia Diabetes Foundation, Prince of Wales Hospital, Hong Kong SAR, China
| | - Y Zhang
- Asia Diabetes Foundation, Prince of Wales Hospital, Hong Kong SAR, China
| | - X Guo
- Department of Endocrinology, Peking University First Hospital, Beijing, China
| | - W Jia
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - W Li
- Peking Union Medical College Hospital, Beijing, China
| | - J Weng
- The Third Affiliated Hospital of Sun Yat-Sen University, Guangdong, Beijing, China
| | - W Yang
- Department of Endocrinology, China-Japan Friendship Hospital, Beijing, China
| | - W B Chan
- Qualigenics Diabetes Centre, Hong Kong SAR, China
| | - R Ozaki
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - C C Tsang
- Alice Ho Nethersole Hospital, Hong Kong SAR, China
| | | | | | - E G Hong
- Hallym University College of Medicine, Gangwon-do, Korea
| | - K H Yoon
- The Catholic University of Korea, Seocho-gu, Korea
| | - L Sobrepena
- Heart of Jesus Hospital, San Jose City, Philippines
| | - R M Toledo
- Senor Sto. Nino Hospital, Tarlac, Philippines
| | - M Duran
- New Bilibid Prison Hospital, Bureau of Corrections, Muntinlupa, Philippines
| | - W Sheu
- Taichung Veterans General Hospital, Taichung, Taiwan
| | - T Q Do
- Bach Mai Hospital, Hanoi, Vietnam
| | - T K Nguyen
- HCMC University of Pharmaceutical and Medicine, Ho Chi Minh City, Vietnam
| | - R C Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - A P Kong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - C C Chow
- Department of Medicine and Therapeutics, Prince of Wales Hospital, Hong Kong SAR, China
| | - P C Tong
- Qualigenics Diabetes Centre, Hong Kong SAR, China
| | - W Y So
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - J C Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
- Asia Diabetes Foundation, Prince of Wales Hospital, Hong Kong SAR, China
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Walton C, Montoya MPB, Fowler DP, Turner C, Jia W, Whitehead RN, Griffiths L, Waring RH, Ramsden DB, Cole JA, Cauchi M, Bessant C, Naylor SJ, Hunter JO. Enteral feeding reduces metabolic activity of the intestinal microbiome in Crohn's disease: an observational study. Eur J Clin Nutr 2016; 70:1052-6. [PMID: 27167669 DOI: 10.1038/ejcn.2016.74] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2015] [Revised: 03/21/2016] [Accepted: 03/23/2016] [Indexed: 02/06/2023]
Abstract
BACKGROUND/OBJECTIVES Enteral feeding will induce remission in as many as 80-90% of compliant patients with active Crohn's disease (CD), but its method of action remains uncertain. This study was designed to examine its effects on the colonic microbiome. METHODS/SUBJECTS Healthy volunteers and patients with CD followed a regimen confined to enteral feeds alone for 1 or 2 weeks, respectively. Chemicals excreted on breath or in faeces were characterised at the start and at the end of the feeding period by gas chromatography/mass spectrometry. RESULTS One week of feeding in healthy volunteers caused significant changes in stool colour and deterioration in breath odour, together with increased excretion of phenol and indoles on the breath. Feeding for 2 weeks in patients with CD produced significant improvements in symptoms and a decrease in the concentration of C-reactive protein. The faecal concentrations of microbial products, including short-chain fatty acids (SCFAs), and potentially toxic substances, including 1-propanol, 1-butanol and the methyl and ethyl esters of SCFAs, showed significant falls. CONCLUSIONS A significant change occurs in the production of microbial metabolites after enteral feeding in both healthy volunteers and patients with CD. Many of those detected in CD are toxic and may feasibly lead to the immunological attack on the gut microbiota, which is characteristic of inflammatory bowel disease. The reduction in the production of such metabolites after enteral feeding may be the reason for its effectiveness in CD.
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Affiliation(s)
- C Walton
- School of Water, Energy and Environment, Cranfield University, Cranfield, UK
| | - M P B Montoya
- School of Water, Energy and Environment, Cranfield University, Cranfield, UK
| | - D P Fowler
- School of Water, Energy and Environment, Cranfield University, Cranfield, UK
| | - C Turner
- School of Life, Health and Chemical Sciences, The Open University, Milton Keynes, UK
| | - W Jia
- School of Biosciences, University of Birmingham, Birmingham, UK
| | - R N Whitehead
- School of Biosciences, University of Birmingham, Birmingham, UK
| | - L Griffiths
- School of Biosciences, University of Birmingham, Birmingham, UK
| | - R H Waring
- School of Biosciences, University of Birmingham, Birmingham, UK
| | - D B Ramsden
- School of Biosciences, University of Birmingham, Birmingham, UK
| | - J A Cole
- School of Biosciences, University of Birmingham, Birmingham, UK
| | - M Cauchi
- School of Water, Energy and Environment, Cranfield University, Cranfield, UK
| | - C Bessant
- School of Water, Energy and Environment, Cranfield University, Cranfield, UK
| | | | - J O Hunter
- School of Water, Energy and Environment, Cranfield University, Cranfield, UK.,Addenbrooke's Hospital, Cambridge, UK
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Beltran A, Dadabhoy H, Chen TA, Lin C, Jia W, Baranowski J, Yan G, Sun M, Baranowski T. Adapting the eButton to the Abilities of Children for Diet Assessment. Proc Meas Behav 2016 (2016) 2016; 2016:72-81. [PMID: 31742257 PMCID: PMC6859905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Affiliation(s)
- A Beltran
- Department of Pediatrics, USDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, USA.
| | - H Dadabhoy
- Department of Pediatrics, USDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, USA.
| | - T A Chen
- Department of Pediatrics, USDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, USA.
| | - C Lin
- Department of Pediatrics, USDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, USA.
| | - W Jia
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA
| | - J Baranowski
- Department of Pediatrics, USDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, USA.
| | - G Yan
- Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA
| | - M Sun
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA
| | - T Baranowski
- Department of Pediatrics, USDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, USA.
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Lu L, Li J, Jia W, Zhao C, Lu T. A Prognostic Analysis on Using the Combination of Tumor Volume and Epstein-Barr Virus DNA in Patients With Nasopharyngeal Carcinoma Treated With IMRT. Int J Radiat Oncol Biol Phys 2016. [DOI: 10.1016/j.ijrobp.2015.10.042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Liu X, Zhang X, Zhang Z, Chang J, Wu Z, Wang C, Sun Z, Ge X, Geng R, Tang W, Dai C, Lin Y, Sun M, Jia W, Xue W, Hu Y, Li J. 27PD Plasma miRNA-based signatures to predict 3-year postoperative recurrence risk for patients with stage II and III gastric cancer. Ann Oncol 2015. [DOI: 10.1093/annonc/mdv518.02] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Beltran A, Dadhaboy H, Lin C, Jia W, Baranowski J, Baranowski T. Minimizing Memory Errors in Child Dietary Assessment with a Wearable Camera: Formative Research. J Acad Nutr Diet 2015. [DOI: 10.1016/j.jand.2015.06.310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Owen S, Jia W, Sanders A, Martin T, Yang X, Cheng S, Yu H, Jiang W. 2869 An investigation of Amphiphysin II transcript expression in pituitary adenomas. Eur J Cancer 2015. [DOI: 10.1016/s0959-8049(16)31607-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Ferslew BC, Johnston CK, Tsakalozou E, Bridges AS, Paine MF, Jia W, Stewart PW, Barritt AS, Brouwer KLR. Altered morphine glucuronide and bile acid disposition in patients with nonalcoholic steatohepatitis. Clin Pharmacol Ther 2015; 97:419-27. [PMID: 25669174 DOI: 10.1002/cpt.66] [Citation(s) in RCA: 64] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2014] [Accepted: 12/06/2014] [Indexed: 12/13/2022]
Abstract
The functional impact of altered drug transport protein expression on the systemic pharmacokinetics of morphine, hepatically derived morphine glucuronide (morphine-3- and morphine-6-glucuronide), and fasting bile acids was evaluated in patients with biopsy-confirmed nonalcoholic steatohepatitis (NASH) compared to healthy subjects. The maximum concentration (Cmax ) and area under the concentration-time curve (AUC0-last ) of morphine glucuronide in serum were increased in NASH patients (343 vs. 225 nM and 58.8 vs. 37.2 µM*min, respectively; P ≤ 0.005); morphine pharmacokinetics did not differ between groups. Linear regression analyses detected an association of NASH severity with increased morphine glucuronide Cmax and AUC0-last (P < 0.001). Fasting serum glycocholate, taurocholate, and total bile acid concentrations were associated with NASH severity (P < 0.006). Increased hepatic basolateral efflux of morphine glucuronide and bile acids is consistent with altered hepatic transport protein expression in patients with NASH and may partially explain differences in efficacy and/or toxicity of some highly transported anionic drugs/metabolites in this patient population.
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Affiliation(s)
- B C Ferslew
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
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Yan J, Hu C, Jiang F, Zhang R, Wang J, Tang S, Peng D, Chen M, Bao Y, Jia W. Genetic variants of PLA2G6 are associated with Type 2 diabetes mellitus and triglyceride levels in a Chinese population. Diabet Med 2015; 32:280-6. [PMID: 25207958 DOI: 10.1111/dme.12587] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2014] [Revised: 07/15/2014] [Accepted: 09/01/2014] [Indexed: 01/24/2023]
Abstract
AIM To test the association of PLA2G6 variants with Type 2 diabetes and clinical characteristics in large Chinese population-based samples. METHODS A total of 6822 people were recruited. In the first stage, 15 single nucleotide polymorphisms within the PLA2G6 region were selected and genotyped in 3700 Chinese Han people. In the second stage, the single nucleotide polymorphisms that showed a significant association were genotyped in an additional 3122 samples for replication. Genotype-phenotype association studies and meta-analyses were performed after combining data from the two stages. RESULTS In the first stage, we detected rs132984 and rs2284060 as significantly associated with Type 2 diabetes with odds ratios of 1.247 (95% CI 1.074-1.449, P = 0.004, empirical P = 0.047) and 1.173 (95% CI 1.059-1.299, P = 0.002, empirical P = 0.029), respectively. In the second stage, a similar effect of rs132984 on Type 2 diabetes was observed (odds ratio 1.280, 95% CI 1.094-1.497, P = 0.002). The meta-analysis showed a significant effect of the two single nucleotide polymorphisms on Type 2 diabetes (odds ratio 1.254, 95% CI 1.104-1.451, P = 4.85 × 10⁻⁵ for rs132984; odds ratio 1.120, 95% CI 1.046-1.195, P = 0.003 for rs2284060). Moreover, genotype-phenotype association analysis showed that rs132984 was associated with triglyceride levels (P = 0.022, empirical P = 0.044) and area under the curve for glucose (P = 0.015, empirical P = 0.030). CONCLUSIONS Our data imply that common single nucleotide polymorphisms within the PLA2G6 region are associated with Type 2 diabetes and triglyceride levels in the Chinese population.
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Affiliation(s)
- J Yan
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Centre for Metabolic Diseases, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
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Gao L, Nadora DM, Phan S, Chernova M, Sun V, Preciado SMO, Jia W, Wang G, Mihm MC, Nelson JS, Tan W. Topical axitinib suppresses angiogenesis pathways induced by pulsed dye laser. Br J Dermatol 2014; 172:669-76. [PMID: 25283693 DOI: 10.1111/bjd.13439] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/22/2014] [Indexed: 12/01/2022]
Abstract
BACKGROUND The recurrence of port-wine stain (PWS) blood vessels by pulsed dye laser (PDL)-induced angiogenesis is a critical barrier that must be overcome to achieve a better therapeutic outcome. OBJECTIVES To determine whether PDL-induced angiogenesis can be suppressed by topical axitinib. METHODS The mRNA expression profiles of 86 angiogenic genes and phosphorylation levels of extracellular signal regulated kinases (ERKs), phosphorylated protein kinase B (AKT) and ribosomal protein S6 kinase (p70S6K) in rodent skin were examined with or without topical axitinib administration after PDL exposure. RESULTS The PDL-induced increased transcriptional levels of angiogenic genes peaked at days 3-7 post-PDL exposure. Topical application of 0·5% axitinib effectively suppressed the PDL-induced increase in mRNA levels of the examined angiogenic genes and activation of AKT, P70S6K and ERK from days 1 to 7 post-PDL exposure. After topical administration, axitinib penetrated into rodent skin to an approximate depth of 929·5 μm. CONCLUSIONS Topical application of 0·5% axitinib can systematically suppress the PDL-induced early stages of angiogenesis via inhibition of the AKT/mammalian target of rapamycin/p70S6K and Src homology 2 domain containing transforming protein-1/mitogen-activated protein kinase kinase/ERK pathway cascades.
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Affiliation(s)
- L Gao
- Department of Surgery and Biomedical Engineering, Beckman Laser Institute and Medical Clinic, University of California, Irvine, CA, 92617, U.S.A; Department of Dermatology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China
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74
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He R, Shen J, Liu F, Zeng H, Li L, Yu H, Lu H, Lu F, Wu Q, Jia W. Vitamin D deficiency increases the risk of retinopathy in Chinese patients with type 2 diabetes. Diabet Med 2014; 31:1657-64. [PMID: 25186653 DOI: 10.1111/dme.12581] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2014] [Revised: 06/26/2014] [Accepted: 08/27/2014] [Indexed: 12/29/2022]
Abstract
AIMS To investigate the relationship between vitamin D deficiency and diabetic retinopathy. METHODS In total, 1520 patients with Type 2 diabetes were recruited and divided into three groups according to their fundus oculi results: no diabetic retinopathy (n = 625, 41.12%); non-sight-threatening diabetic retinopathy (n = 562, 36.97%); and sight-threatening diabetic retinopathy (n = 333, 21.91%). Vitamin D deficiency was defined as a serum circulating 25-hydroxyvitamin D level < 20 ng/ml. Clinical characteristics and biochemical parameters were detected and compared. RESULTS The patients with sight-threatening diabetic retinopathy had significantly lower serum 25-hydroxyvitamin D concentrations and higher prevalence of vitamin D deficiency than other two groups (all P < 0.05). In addition, there was a downward trend in average 25-hydroxyvitamin D level with the increased stages of diabetic retinopathy (P < 0.01). The prevalence of diabetic retinopathy and sight-threatening diabetic retinopathy in patients with vitamin D deficiency was also higher than in those without vitamin D deficiency (both P < 0.01). After adjusting for all potential confounders, vitamin D deficiency was still associated with increased risk of diabetic retinopathy (odds ratio 1.93) and sight-threatening diabetic retinopathy (odds ratio 2.42) (both P < 0.01). Logistical regression analysis further revealed that vitamin D deficiency was an independent risk factor for diabetic retinopathy (β = 0.66) and sight-threatening diabetic retinopathy (β = 0.93) (both P < 0.01). ROC analysis indicated that a serum 25-hydroxyvitamin D level < 15.57 ng/ml suggested the occurrence of sight-threatening diabetic retinopathy (odds ratio 2.38, P < 0.01). CONCLUSIONS Vitamin D deficiency is an independent risk factor for diabetic retinopathy and sight-threatening diabetic retinopathy. The prevalence of sight-threatening diabetic retinopathy doubles when the serum 25-hydroxyvitamin D level is < 15.57 ng/ml.
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Affiliation(s)
- R He
- Department of Endocrinology and Metabolism
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75
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Chen M, Hu C, Zhang R, Jiang F, Wang J, Peng D, Tang S, Sun X, Yan J, Luo Y, Bao Y, Jia W. Association of PAX4 genetic variants with oral antidiabetic drugs efficacy in Chinese type 2 diabetes patients. Pharmacogenomics J 2014; 14:488-92. [PMID: 24752311 DOI: 10.1038/tpj.2014.18] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/02/2014] [Revised: 02/14/2014] [Accepted: 02/26/2014] [Indexed: 11/09/2022]
Abstract
The aim of this study was to investigate the association of PAX4 variants with therapeutic effect of oral antidiabetic drugs in Chinese type 2 diabtes mellitus (T2DM) patients. A total of 209 newly diagnosed T2DM patients were randomly assigned to treatment with repaglinide or rosiglitazone for 48 weeks, and the therapeutic effects were compared. In the rosiglitazone cohort, rs6467136 GA+AA carriers showed greater decrease in 2-h glucose levels (P=0.0063) and higher cumulative attainment rates of target 2-h glucose levels (Plog rank=0.0093) than GG homozygotes. In the subgroup with defective β-cell function, rs6467136 GA+AA carriers exhibited greater decrements of 2-h glucose level and improvement of homeostasis model assessment of insulin resistance (P=0.0143). Moreover, GA+AA carriers were more likely to attain the target fasting and 2-h glucose level (Plog rank=0.0091 and 0.007, respectively). However, these single-nucleotide polymorphisms showed no effect on repaglinide efficacy. In conclusion, PAX4 variant rs6467136 was associated with the therapeutic effect of rosiglitazone in Chinese T2DM patients.
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Affiliation(s)
- M Chen
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai, China
| | - C Hu
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai, China
| | - R Zhang
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai, China
| | - F Jiang
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai, China
| | - J Wang
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai, China
| | - D Peng
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai, China
| | - S Tang
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai, China
| | - X Sun
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai, China
| | - J Yan
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai, China
| | - Y Luo
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai, China
| | - Y Bao
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai, China
| | - W Jia
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai, China
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76
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Yu X, Chen P, Wang H, Jin H, Jia W, Wang L. Clinical study of exercise on improvement of β-cell function and insulin resistance in non-diabetic young offsprings of diabetic patients. J Endocrinol Invest 2014; 37:353-8. [PMID: 24682911 DOI: 10.1007/s40618-013-0033-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2013] [Accepted: 11/17/2013] [Indexed: 11/30/2022]
Abstract
BACKGROUND Previous studies have shown that exercise could improve β-cell function in humans or animal models of type 2 diabetes. However, whether it can prevent the progression of pre-diabetes to diabetes remains unclear. AIM To study the effects of exercise on glycolipid metabolism, β-cell function, and insulin resistance in the non-diabetic young offsprings of diabetic patients. METHODS One hundred and eighty-two normal glucose tolerance young offsprings of type 2 diabetic parents were enrolled. Individuals with fasting insulin ≥ 12.0 mU/L were assigned to hyperinsulinemia group (n = 72) and those with fasting insulin <12.0 mU/L were assigned to normal group (n = 110). The subjects in hyperinsulinemia group received 12-week exercise intervention. A 75-g oral glucose tolerance test and insulin release test were conducted before and after intervention. The area under curve of glucose (AUCglu), area under curve of insulin (AUCINS), HOMA insulin resistance index (HOMA-IR), HOMA β-cell function (HOMA-β), and early insulin secretion index (ΔI 30/ΔG 30) were calculated. Body composition was measured by dual energy X-ray absorptiometry. RESULTS At baseline, AUCINS and HOMA-β in hyperinsulinemia group were significantly higher compared with the normal group (P < 0.05). After the 12-week exercise intervention, no significant changes in blood pressure, body mass index, blood glucose, serum lipids, and percentage of body fat were found in hyperinsulinemia group; however, AUCINS, HOMA-β, HOMA-IR (P < 0.05) and ΔI 30/ΔG 30 (P < 0.01) were significantly decreased. CONCLUSIONS Exercise is effective for preventing pre-diabetic insulin resistance and β-cell dysfunction in non-diabetic young offsprings of diabetic patients.
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Affiliation(s)
- X Yu
- Department of Endocrinology, Fengxian Central Hospital, No. 9588 Nanfeng Road, Nanqiao, Fengxian, Shanghai, 201400, China,
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77
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Li H, Zhou Y, Zhao A, Qiu Y, Xie G, Jiang Q, Zheng X, Zhong W, Sun X, Zhou Z, Jia W. Asymmetric dimethylarginine attenuates serum starvation-induced apoptosis via suppression of the Fas (APO-1/CD95)/JNK (SAPK) pathway. Cell Death Dis 2013; 4:e830. [PMID: 24091673 PMCID: PMC3824655 DOI: 10.1038/cddis.2013.345] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2013] [Revised: 08/06/2013] [Accepted: 08/07/2013] [Indexed: 12/21/2022]
Abstract
Asymmetric dimethylarginine (ADMA) is synthesized by protein arginine methyltransferases during methylation of protein arginine residues and released into blood upon proteolysis. Higher concentrations of ADMA in blood have been observed in patients with metabolic diseases and certain cancers. However, the role of ADMA in colon cancer has not been well investigated. ADMA serum levels in human patients diagnosed with colon cancer were found to be higher than those present in healthy subjects. ADMA treatment of LoVo cells, a human colon adenocarcinoma cell line, attenuated serum starvation-induced apoptosis and suppressed the activation of the Fas (APO-1/CD95)/JNK (SAPK) (c-Jun N terminal protein kinase/stress-activated protein kinase)pathway. ADMA also suppressed the activation of JNK triggered by death receptor ligand anti-Fas mAb and exogenous C2-ceramide. Moreover, we demonstrated that ADMA pretreatment protected LoVo cells from doxorubicin hydrochloride-induced cell death and activation of the Fas/JNK pathway. In summary, our results suggest that the elevated ADMA in colon cancer patients may contribute to the blocking of apoptosis of cancer cells in response to stress and chemotherapy.
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Affiliation(s)
- H Li
- 1] Center for Translational Medicine, Shanghai Jiao Tong University, Affiliated Sixth People's Hospital, Shanghai 200233, China [2] Center for Translational Biomedical Research, University of North Carolina at Greensboro, North Carolina Research Campus, Kannapolis, NC 28081, USA
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78
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Yu W, Zhang F, Hu W, Zhang R, Wang C, Lu J, Jiang F, Tang S, Peng D, Chen M, Bao Y, Xiang K, Hu C, Jia W. Association between KCNQ1 genetic variants and QT interval in a Chinese population. Diabet Med 2013; 30:1225-9. [PMID: 23692438 DOI: 10.1111/dme.12237] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2012] [Revised: 04/12/2013] [Accepted: 05/15/2013] [Indexed: 12/14/2022]
Abstract
AIM There is a close link between electrocardiographic ventricular repolarization QT parameters and Type 2 diabetes. The aim of the present study was to assess the effects of QT-related and diabetes-related variants in KCNQ1 on QT interval in a Chinese population. METHODS We recruited 2415 patients with Type 2 diabetes and 1163 subjects with normal glucose regulation in the present study. QT interval was obtained and the heart rate-corrected QT interval (QTc) was calculated using Bazett's formula. Four single nucleotide polymorphisms in KCNQ1 were selected (rs12296050, rs12576239, rs2237892 and rs2237895) and genotyped. RESULTS In participants with normal glucose regulation, the minor allele T of rs12296050 was associated with a 3.46-ms QTc prolongation under an additive model (P = 0.0109, empirical P = 0.0498). In patients with Type 2 diabetes, we did not find any association for the single nucleotide polymorphisms. CONCLUSIONS Our findings indicate that KCNQ1 is associated with QT interval in a Chinese population with normal glucose regulation.
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Affiliation(s)
- W Yu
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai, China
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Xiao J, Weng J, Ji L, Jia W, Lu J, Shan Z, Liu J, Tian H, Ji Q, Yang Z, Yang W. Worse Pancreatic -cell Function and Better Insulin Sensitivity in Older Chinese Without Diabetes. J Gerontol A Biol Sci Med Sci 2013; 69:463-70. [DOI: 10.1093/gerona/glt104] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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80
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Li H, Jia W. Cometabolism of microbes and host: implications for drug metabolism and drug-induced toxicity. Clin Pharmacol Ther 2013; 94:574-81. [PMID: 23933971 DOI: 10.1038/clpt.2013.157] [Citation(s) in RCA: 69] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2013] [Accepted: 07/29/2013] [Indexed: 01/16/2023]
Abstract
The recognition of the gut microbial-mammalian metabolic axis and its implications in human metabolic disease opens a new window to understanding the contribution of the gut microbiome to drug metabolism and drug-induced toxicity. The integrative omics approaches, including pharmacometabonomics and metagenomics, have demonstrated great promise for characterizing xenobiotic interventions that are associated with wide variation in efficacy or toxicity in humans, as well as for predicting individual response and susceptibility to toxicity.
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Affiliation(s)
- H Li
- Center for Chinese Medical Therapy and Systems Biology, E-Institute of Shanghai Municipal Education Committee, Shanghai University of Traditional Chinese Medicine, Shanghai, China
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81
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Yang G, Zhou X, Zhu J, Liu R, Zhang S, Coquinco A, Chen Y, Wen Y, Kojic L, Jia W, Cynader MS. JNK3 Couples the Neuronal Stress Response to Inhibition of Secretory Trafficking. Sci Signal 2013; 6:ra57. [DOI: 10.1126/scisignal.2003727] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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Bae-Jump V, Zong Y, Du X, Makowski L, Jia W, Zhou C. Diet-induced obesity increases tumor aggressiveness in a genetically engineered mouse model of serous ovarian cancer. Gynecol Oncol 2013. [DOI: 10.1016/j.ygyno.2013.04.102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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83
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Jia W, Gao XJ, Zhang ZD, Yang ZX, Zhang G. S100A4 silencing suppresses proliferation, angiogenesis and invasion of thyroid cancer cells through downregulation of MMP-9 and VEGF. Eur Rev Med Pharmacol Sci 2013; 17:1495-1508. [PMID: 23771538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
BACKGROUND AND AIM It is well documented that S100A4 is upregulated in many cancers and plays a pivotal role in tumor proliferation, invasion, metastasis and angiogenesis. However, the precise role and mechanism S100A4 exerts in the thyroid cancer have not been fully elucidated to date. In the present study, we investigated the effect of S100A4 on proliferation, invasion, metastasis and angiogenesis in thyroid cancer cells. MATERIALS AND METHODS A plasmid construct was made that expressed full long S100A4 cDNA. The construct was stably transfected into BCPAP and ML-1 thyroid cancer cells (BCPAP/ S100A4 cDNA, ML-1/S100A4 cDNA). S100A4 siRNA was transiently transfected into the DRO cells (DRO/S100A4 siRNA). MMP-9 siRNA or VEGF siRNA was transiently transfected into the BCPAP/ S100A4 cDNA, ML-1/S100A4 cDNA cells (BCPAP/ S100A4 cDNA/VEGF siRNA, ML-1/S100A4 cDNA/ MMP-9 siRNA). RESULTS We found that the down-regulation of S100A4 by small interfering RNA decreased cell invasion, metastasis, and angiogenesis by using chicken chorioallantoic membrane (CAM), whereas S100A4 overexpression by cDNA transfection led to increased tumor cell invasion, metastasis, and angiogenesis. Consistent with these results, we found that the down-regulation of S100A4 reduced VEGF and MMP-9 expression. Furthermore, Knockdown of MMP-9 by MMP-9 siRNA inhibited cell invasion and metastasis in the BCPAP/S100A4 cDNA, ML-1/S100A4 cDNA cells. Knockdown of VEGF by VEGF siRNA inhibited cell angiogenesis in the BCPAP/ S100A4 cDNA, ML-1/S100A4 cDNA cells.We also found that downregulation of S100A4 by small interfering RNA resulted in enhanced cell growth inhibition and apoptosis, and vice versa. Our data suggest S100A4 could be an effective approach for the regulation of proliferation, invasion and angiogenesis. Downregulation of S100A4 could inhibit angiogenesis, proliferation and invasion by regulating the expression of MMP-9 and VEGF. CONCLUSIONS Our results provide evidence that the downregulation of S100A4 using RNAi technology may provide an effective tool for thyroid cancer therapy.
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Affiliation(s)
- W Jia
- Department of Hepatobiliary and Pancreatic Surgery, Huaxi Hispital Sichuan University, Chengdu, Sichuan, China
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84
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Ma RCW, Hu C, Tam CH, Zhang R, Kwan P, Leung TF, Thomas GN, Go MJ, Hara K, Sim X, Ho JSK, Wang C, Li H, Lu L, Wang Y, Li JW, Wang Y, Lam VKL, Wang J, Yu W, Kim YJ, Ng DP, Fujita H, Panoutsopoulou K, Day-Williams AG, Lee HM, Ng ACW, Fang YJ, Kong APS, Jiang F, Ma X, Hou X, Tang S, Lu J, Yamauchi T, Tsui SKW, Woo J, Leung PC, Zhang X, Tang NLS, Sy HY, Liu J, Wong TY, Lee JY, Maeda S, Xu G, Cherny SS, Chan TF, Ng MCY, Xiang K, Morris AP, Keildson S, Hu R, Ji L, Lin X, Cho YS, Kadowaki T, Tai ES, Zeggini E, McCarthy MI, Hon KL, Baum L, Tomlinson B, So WY, Bao Y, Chan JCN, Jia W. Genome-wide association study in a Chinese population identifies a susceptibility locus for type 2 diabetes at 7q32 near PAX4. Diabetologia 2013; 56:1291-305. [PMID: 23532257 PMCID: PMC3648687 DOI: 10.1007/s00125-013-2874-4] [Citation(s) in RCA: 66] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2012] [Accepted: 01/31/2013] [Indexed: 12/18/2022]
Abstract
AIMS/HYPOTHESIS Most genetic variants identified for type 2 diabetes have been discovered in European populations. We performed genome-wide association studies (GWAS) in a Chinese population with the aim of identifying novel variants for type 2 diabetes in Asians. METHODS We performed a meta-analysis of three GWAS comprising 684 patients with type 2 diabetes and 955 controls of Southern Han Chinese descent. We followed up the top signals in two independent Southern Han Chinese cohorts (totalling 10,383 cases and 6,974 controls), and performed in silico replication in multiple populations. RESULTS We identified CDKN2A/B and four novel type 2 diabetes association signals with p < 1 × 10(-5) from the meta-analysis. Thirteen variants within these four loci were followed up in two independent Chinese cohorts, and rs10229583 at 7q32 was found to be associated with type 2 diabetes in a combined analysis of 11,067 cases and 7,929 controls (p meta = 2.6 × 10(-8); OR [95% CI] 1.18 [1.11, 1.25]). In silico replication revealed consistent associations across multiethnic groups, including five East Asian populations (p meta = 2.3 × 10(-10)) and a population of European descent (p = 8.6 × 10(-3)). The rs10229583 risk variant was associated with elevated fasting plasma glucose, impaired beta cell function in controls, and an earlier age at diagnosis for the cases. The novel variant lies within an islet-selective cluster of open regulatory elements. There was significant heterogeneity of effect between Han Chinese and individuals of European descent, Malaysians and Indians. CONCLUSIONS/INTERPRETATION Our study identifies rs10229583 near PAX4 as a novel locus for type 2 diabetes in Chinese and other populations and provides new insights into the pathogenesis of type 2 diabetes.
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Affiliation(s)
- R. C. W. Ma
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, SAR People’s Republic of China
- Hong Kong Institute of Diabetes and Obesity, Chinese University of Hong Kong, Hong Kong, SAR People’s Republic of China
- Li Ka Shing Institute of Life Sciences, Chinese University of Hong Kong, Hong Kong, SAR People’s Republic of China
| | - C. Hu
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233 People’s Republic of China
- Shanghai Jiao Tong University Affiliated Sixth People’s Hospital South Campus, Shanghai, People’s Republic of China
| | - C. H. Tam
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, SAR People’s Republic of China
| | - R. Zhang
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233 People’s Republic of China
| | - P. Kwan
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, SAR People’s Republic of China
| | - T. F. Leung
- Department of Paediatrics, Chinese University of Hong Kong, Hong Kong, People’s Republic of China
| | - G. N. Thomas
- Department of Public Health, Epidemiology and Biostatistics, University of Birmingham, Birmingham, UK
| | - M. J. Go
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Gangoe-myeon, Yeonje-ri, Cheongwon-gun, Chungcheongbuk-do Republic of Korea
| | - K. Hara
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
- Department of Integrated Molecular Science on Metabolic Diseases, University of Tokyo Hospital, Tokyo, Japan
| | - X. Sim
- Centre for Molecular Epidemiology, Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Republic of Singapore
- Center for Statistical Genetics and Department of Biostatistics, University of Michigan, Ann Arbor, MI USA
| | - J. S. K. Ho
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, SAR People’s Republic of China
| | - C. Wang
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233 People’s Republic of China
| | - H. Li
- Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences and Graduate School of the Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - L. Lu
- Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences and Graduate School of the Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - Y. Wang
- Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences and Graduate School of the Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - J. W. Li
- School of Life Sciences, Chinese University of Hong Kong, Hong Kong, SAR People’s Republic of China
| | - Y. Wang
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, SAR People’s Republic of China
| | - V. K. L. Lam
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, SAR People’s Republic of China
| | - J. Wang
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233 People’s Republic of China
| | - W. Yu
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233 People’s Republic of China
| | - Y. J. Kim
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Gangoe-myeon, Yeonje-ri, Cheongwon-gun, Chungcheongbuk-do Republic of Korea
| | - D. P. Ng
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Republic of Singapore
| | - H. Fujita
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - K. Panoutsopoulou
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - A. G. Day-Williams
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - H. M. Lee
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, SAR People’s Republic of China
| | - A. C. W. Ng
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, SAR People’s Republic of China
| | - Y-J. Fang
- Department of Colorectal Surgery, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, People’s Republic of China
| | - A. P. S. Kong
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, SAR People’s Republic of China
| | - F. Jiang
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233 People’s Republic of China
| | - X. Ma
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233 People’s Republic of China
| | - X. Hou
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233 People’s Republic of China
| | - S. Tang
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233 People’s Republic of China
| | - J. Lu
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233 People’s Republic of China
| | - T. Yamauchi
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - S. K. W. Tsui
- School of Biomedical Sciences, Chinese University of Hong Kong, Hong Kong, SAR People’s Republic of China
| | - J. Woo
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, SAR People’s Republic of China
| | - P. C. Leung
- Department of Orthopaedics, Chinese University of Hong Kong, Hong Kong, SAR People’s Republic of China
| | - X. Zhang
- Shanghai Jiao Tong University Affiliated Sixth People’s Hospital South Campus, Shanghai, People’s Republic of China
| | - N. L. S. Tang
- Department of Chemical Pathology, Chinese University of Hong Kong, Hong Kong, SAR People’s Republic of China
| | - H. Y. Sy
- Department of Paediatrics, Chinese University of Hong Kong, Hong Kong, People’s Republic of China
| | - J. Liu
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Republic of Singapore
| | - T. Y. Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Republic of Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore
- Centre for Eye Research Australia, University of Melbourne, East Melbourne, VIC Australia
| | - J. Y. Lee
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Gangoe-myeon, Yeonje-ri, Cheongwon-gun, Chungcheongbuk-do Republic of Korea
| | - S. Maeda
- Laboratory for Endocrinology and Metabolism, RIKEN Center for Genomic Medicine, Yokohama, Japan
| | - G. Xu
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, SAR People’s Republic of China
| | - S. S. Cherny
- Department of Psychiatry and State Key Laboratory of Brain and Cognitive Sciences, University of Hong Kong, Hong Kong, SAR People’s Republic of China
| | - T. F. Chan
- School of Life Sciences, Chinese University of Hong Kong, Hong Kong, SAR People’s Republic of China
| | - M. C. Y. Ng
- Center for Genomics and Personalized Medicine Research, Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC USA
| | - K. Xiang
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233 People’s Republic of China
| | - A. P. Morris
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | | | - S. Keildson
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | | | - R. Hu
- Institute of Endocrinology and Diabetology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People’s Republic of China
| | - L. Ji
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Beijing, People’s Republic of China
| | - X. Lin
- Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences and Graduate School of the Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - Y. S. Cho
- Department of Biomedical Science, Hallym University, Chuncheon, Gangwon-do Republic of Korea
| | - T. Kadowaki
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - E. S. Tai
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore
- Graduate Medical School, Duke-National University of Singapore, Singapore, Republic of Singapore
| | - E. Zeggini
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - M. I. McCarthy
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford, UK
| | - K. L. Hon
- Department of Paediatrics, Chinese University of Hong Kong, Hong Kong, People’s Republic of China
| | - L. Baum
- School of Pharmacy, Chinese University of Hong Kong, Hong Kong, SAR People’s Republic of China
| | - B. Tomlinson
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, SAR People’s Republic of China
| | - W. Y. So
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, SAR People’s Republic of China
| | - Y. Bao
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233 People’s Republic of China
| | - J. C. N. Chan
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, SAR People’s Republic of China
- Hong Kong Institute of Diabetes and Obesity, Chinese University of Hong Kong, Hong Kong, SAR People’s Republic of China
- Li Ka Shing Institute of Life Sciences, Chinese University of Hong Kong, Hong Kong, SAR People’s Republic of China
| | - W. Jia
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233 People’s Republic of China
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85
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Liu YY, Jia W, Wanke IE, Muruve DA, Xiao HP, Wong NCW. Glucose regulates secretion of exogenously expressed insulin from HepG2 cells in vitro and in a mouse model of diabetes mellitus in vivo. J Mol Endocrinol 2013; 50:337-46. [PMID: 23475748 DOI: 10.1530/jme-12-0239] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Glucose-controlled insulin secretion is a key component of its regulation. Here, we examined whether liver cell secretion of insulin derived from an engineered construct can be regulated by glucose. Adenovirus constructs were designed to express proinsulin or mature insulin containing the conditional binding domain (CBD). This motif binds GRP78 (HSPA5), an endoplasmic reticulum (ER) protein that enables the chimeric hormone to enter into and stay within the ER until glucose regulates its release from the organelle. Infected HepG2 cells expressed proinsulin mRNA and the protein containing the CBD. Immunocytochemistry studies suggested that GRP78 and proinsulin appeared together in the ER of the cell. The amount of hormone released from infected cells varied directly with the ambient concentration of glucose in the media. Glucose-regulated release of the hormone from infected cells was rapid and sustained. Removal of glucose from the cells decreased release of the hormone. In streptozotocin-induced diabetic mice, when infected with adenovirus expressing mature insulin, glucose levels declined. Our data show that glucose regulates release of exogenously expressed insulin from the ER of liver cells. This approach may be useful in devising new ways to treat diabetes mellitus.
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Affiliation(s)
- Y Y Liu
- Department of Endocrinology, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510080, People's Republic of China
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86
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Yang Z, Xing X, Xiao J, Lu J, Weng J, Jia W, Ji L, Shan Z, Liu J, Tian H, Ji Q, Zhu D, Ge J, Lin L, Chen L, Guo X, Zhao Z, Li Q, Zhou Z, Shan G, Yang W. Prevalence of cardiovascular disease and risk factors in the Chinese population with impaired glucose regulation: the 2007-2008 China national diabetes and metabolic disorders study. Exp Clin Endocrinol Diabetes 2013; 121:372-4. [PMID: 23616189 DOI: 10.1055/s-0033-1341520] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Cardiovascular disease (CVD) is one of the most common chronic diseases in China. This aim of this study is to determine the prevalence of CVDs and risk factors in Chinese impaired glucose regulation subjects.We used a multistage, stratified sampling method to select subjects from the general Chinese population aged 20 years and older. Subjects underwent an oral glucose tolerance test to identify normal glucose tolerance (NGT) and impaired glucose regulation including isolated impaired fasting glucose (i-IFG), impaired glucose tolerance (i-IGT), and combined IFG/IGT and diabetic mellitus (DM). A logistic regression analysis was performed to examine the association between glucose abnormalities and CVD events.We identified that 34 293 subjects had NGT, 1 469 i-IFG, 4 571 i-IGT, 957 IFG/IGT and 4 949 DM. The age-sex standardized prevalence rate of cardiovascular disease was 1.06% (95% CI 0.87-1.28), 1.79% (95% CI 1.37-2.33) and 3.83% (95% CI 2.79-5.24) in NGT, impaired glucose regulation and DM, respectively. Among impaired glucose subjects, prevalence of defined CVD risk factors (smoking, overweight, obesity, hypertension and dyslipidemia) was 29.52% (95% CI: 27.8-31.21), 36.25% (95% CI: 34.29-38.26), 10.05% (95% CI: 8.86-11.37), 36.43% (95% CI: 34.53-38.36) and 69.96% (95% CI: 67.87-71.98), respectively. Compared to 1 risk factor, the odds ratios (ORs) of CVDs with 2, 3 or 4 risk factors were 1.94 (95% CI: 0.74-5.09), 2.76 (95% CI: 1.06-7.21) and 5.84 (95% CI: 1.68-20.26), respectively. Additionally, compared to i-IFGs, ORs of CVDs with i-IGT and IFG/IGT were 2.88 (95%CI 1.36-6.01) and 2.12 (95% CI 0.83-5.44), respectively.The prevalence of cardiovascular risk factors was high in the Chinese impaired glucose regulation population. The postprandial hyperglycemia is more associated with CVD than isolated fasting hyperglycemia.
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Affiliation(s)
- Z Yang
- China-Japan Friendship Hospital, Beijing
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87
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Zhang R, Jiang F, Hu C, Yu W, Wang J, Wang C, Ma X, Tang S, Bao Y, Xiang K, Jia W. Genetic variants of LPIN1 indicate an association with Type 2 diabetes mellitus in a Chinese population. Diabet Med 2013; 30:118-22. [PMID: 22853689 DOI: 10.1111/j.1464-5491.2012.03758.x] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
AIMS Metabolic disorders are independent risk factors for the development of Type 2 diabetes. The aim of the study is to test the association of LPIN1 variants with Type 2 diabetes and clinical characteristics in large samples of the Chinese population. METHODS In the first stage, 15 single nucleotide polymorphisms within the LPIN1 region were selected and genotyped in 3700 Chinese Han participants. In the second stage, the single nucleotide polymorphisms showing significant association or trends towards association were genotyped in an additional 3122 samples for replication. Meta-analyses and genotype-phenotype association studies were performed after combining the data from the two stages. RESULTS In the first stage, we detected that rs16857876 was significantly associated with Type 2 diabetes with an odds ratio of 0.806 (95% CI 0.677-0.958, P = 0.015), while rs11695610 showed a trend with Type 2 diabetes (odds ratio 0.846, 95% CI 0.709-1.009, P = 0.062). In the second stage, a similar effect of rs11695610 on Type 2 diabetes was observed (odds ratio 0.849, 95% CI 0.700-1.030, P = 0.096). The meta-analyses combining the information from the two stages showed a significant effect of rs11695610 on Type 2 diabetes with an odds ratio of 0.847 (95% CI 0.744-0.965, P = 0.012). Finally, the phenotype-genotype association analyses showed that rs11695610 was associated with 2-h plasma glucose (P = 0.040) and triglyceride levels (P = 0.034). CONCLUSIONS Our data implied that common single nucleotide polymorphisms within the LPIN1 region were associated with Type 2 diabetes and metabolic traits in the Chinese population.
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Affiliation(s)
- R Zhang
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
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88
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Liu HR, Shao GX, Jia W, Zhang ZX, Zhang Y, Liang J, Liu XG, Jia HS, Xu BS. Morphological evolution of ZnO microspheres from Zn5(OH)8Ac2·2H2O by ultrasonic irradiation method. CrystEngComm 2013. [DOI: 10.1039/c2ce26247a] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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89
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Yang J, Chen T, Sun L, Zhao Z, Qi X, Zhou K, Cao Y, Wang X, Qiu Y, Su M, Zhao A, Wang P, Yang P, Wu J, Feng G, He L, Jia W, Wan C. Potential metabolite markers of schizophrenia. Mol Psychiatry 2013; 18:67-78. [PMID: 22024767 PMCID: PMC3526727 DOI: 10.1038/mp.2011.131] [Citation(s) in RCA: 185] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Schizophrenia is a severe mental disorder that affects 0.5-1% of the population worldwide. Current diagnostic methods are based on psychiatric interviews, which are subjective in nature. The lack of disease biomarkers to support objective laboratory tests has been a long-standing bottleneck in the clinical diagnosis and evaluation of schizophrenia. Here we report a global metabolic profiling study involving 112 schizophrenic patients and 110 healthy subjects, who were divided into a training set and a test set, designed to identify metabolite markers. A panel of serum markers consisting of glycerate, eicosenoic acid, β-hydroxybutyrate, pyruvate and cystine was identified as an effective diagnostic tool, achieving an area under the receiver operating characteristic curve (AUC) of 0.945 in the training samples (62 patients and 62 controls) and 0.895 in the test samples (50 patients and 48 controls). Furthermore, a composite panel by the addition of urine β-hydroxybutyrate to the serum panel achieved a more satisfactory accuracy, which reached an AUC of 1 in both the training set and the test set. Multiple fatty acids and ketone bodies were found significantly (P<0.01) elevated in both the serum and urine of patients, suggesting an upregulated fatty acid catabolism, presumably resulting from an insufficiency of glucose supply in the brains of schizophrenia patients.
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Affiliation(s)
- J Yang
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Bio-X Center, Shanghai Jiao Tong University, Shanghai, China,Institutes for Nutritional Sciences, Shanghai Institute of Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - T Chen
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China
| | - L Sun
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Bio-X Center, Shanghai Jiao Tong University, Shanghai, China,Institutes for Nutritional Sciences, Shanghai Institute of Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Z Zhao
- Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA,Department of Psychiatry, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - X Qi
- School of Pharmacy, Shanghai Jiao Tong University, Shanghai, China
| | - K Zhou
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Bio-X Center, Shanghai Jiao Tong University, Shanghai, China,Institutes for Nutritional Sciences, Shanghai Institute of Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Y Cao
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China
| | - X Wang
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China
| | - Y Qiu
- Department of Nutrition, University of North Carolina at Greensboro, North Carolina Research Campus, Kannapolis, NC, USA
| | - M Su
- Department of Nutrition, University of North Carolina at Greensboro, North Carolina Research Campus, Kannapolis, NC, USA
| | - A Zhao
- School of Pharmacy, Shanghai Jiao Tong University, Shanghai, China
| | - P Wang
- Wuhu No. 4 People's Hospital, Wuhu, China
| | - P Yang
- Wuhu No. 4 People's Hospital, Wuhu, China
| | - J Wu
- Instrumental Analysis Center, Shanghai Jiao Tong University, Shanghai, China
| | - G Feng
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Bio-X Center, Shanghai Jiao Tong University, Shanghai, China,Institutes for Nutritional Sciences, Shanghai Institute of Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - L He
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Bio-X Center, Shanghai Jiao Tong University, Shanghai, China,Institutes for Nutritional Sciences, Shanghai Institute of Biological Sciences, Chinese Academy of Sciences, Shanghai, China,Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - W Jia
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China,Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China. E-mail:
| | - C Wan
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Bio-X Center, Shanghai Jiao Tong University, Shanghai, China,Institutes for Nutritional Sciences, Shanghai Institute of Biological Sciences, Chinese Academy of Sciences, Shanghai, China,Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Bio-X Center, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China. E-mail:
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90
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Fang Q, Chen S, Wang Y, Jiang S, Zhang R, Hu C, Wang C, Liu F, Xiang K, Jia W. Functional analyses of the mutation nt-128 T→G in the hepatocyte nuclear factor-1α promoter region in Chinese diabetes pedigrees. Diabet Med 2012; 29:1456-64. [PMID: 22413961 PMCID: PMC3570122 DOI: 10.1111/j.1464-5491.2012.03626.x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
AIMS Hepatocyte nuclear factor-1α (HNF-1α) regulates the expression of genes encoding proteins involved in glucose metabolism and insulin secretion. Mutations in the HNF-1α gene cause maturity-onset diabetes of the young Type 3. However, the mechanism leading to this disease has not been completely ascertained. Previously, we found a novel mutation in the regulatory element of the human HNF-1α gene in two Chinese diabetes pedigrees. The nucleotide at position -128 T was substituted by G (nt-128 T→G). In this study, we analysed the functional defect of nt-128 T→G in HNF-1α transcription activity. METHODS Luciferase reporter gene assays were carried out to examine the functional characteristics of this mutant. Electrophoretic mobility shift assays and chromatin immunoprecipitation were performed to confirm the binding of nuclear proteins to oligonucleotides. RESULTS The variant construct (nt-128 T→G) had a 1.65-fold increase in promoter activity compared with that of the wild-type construct in HepG2 cells and a 1.33-fold increase in MIN6 cells, respectively. The variant resided at a FOXA/HNF-3 binding site identified by a series of competitive electrophoretic mobility shift assays and antibody supershift analyses. The assays showed a differential binding affinity in the wild-type and the nt-128 T→G mutant fragments by FOXA/HNF-3. Chromatin immunoprecipitation indicated that FOXA/HNF-3 bound to this region in vivo. One nucleotide substitution in the FOXA/HNF-3 site in the human HNF-1α regulatory element caused an increase of HNF-1α transcriptional activity. CONCLUSIONS Our data suggested that this substitution in the promoter region affects DNA-protein interaction and HNF-1α gene transcription. The mutant may contribute to the development of diabetes in these two nt-128 T→G pedigrees of Chinese.
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Affiliation(s)
- Q Fang
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
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91
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Shao C, Jia W, Chang X. Analysis of child injury surveillance in Tongzhou district of Beijing from 2006 to 2010. Inj Prev 2012. [DOI: 10.1136/injuryprev-2012-040590d.10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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92
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Yu W, Ma RC, Hu C, So WY, Zhang R, Wang C, Tam CH, Ho JS, Lu J, Jiang F, Tang S, Ng MC, Bao Y, Xiang K, Jia W, Chan JCN. Association between KCNQ1 genetic variants and obesity in Chinese patients with type 2 diabetes. Diabetologia 2012; 55:2655-2659. [PMID: 22790062 DOI: 10.1007/s00125-012-2636-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2012] [Accepted: 06/08/2012] [Indexed: 01/24/2023]
Abstract
AIMS/HYPOTHESIS There is evidence of overlap between susceptibility loci for type 2 diabetes and obesity. The aim of this study is to explore the association between the established type 2 diabetes locus KCNQ1 and obesity in Han Chinese. METHODS We recruited 6,667 and 6,606 diabetic case-control samples from Shanghai and Hong Kong, respectively. Of the samples, 7.5% and 6.3% were excluded because of genotyping failure or data missing in the association analyses of rs2237892 and rs2237895 with obesity/BMI, respectively. RESULTS We found that rs2237892 was associated with lower BMI and lower incidence of overweight/obesity in diabetic patients from Hong Kong (BMI, β = -0.0060 per diabetes risk C allele for log(10)BMI [95% CI -0.0088, -0.0032; p = 2.83 × 10(-5)]; overweight/obesity, OR 0.880 for C allele [95% CI 0.807, 0.960; p = 0.004]) and in the meta-analysis of cases from the two regions (BMI, combined β = -0.0048 per C allele for log(10)BMI [95% CI -0.0070, -0.0026; p = 2.20 × 10(-5)]; overweight/obesity, combined OR 0.890 for C allele [95% CI 0.830, 0.955; p = 0.001]). rs2237895 was also related to decreased BMI (combined β = -0.0042 per diabetes risk C allele for log(10)BMI [95% CI -0.0062, -0.0022; p = 4.30 × 10(-5)]). A significant association with waist circumference was detected for rs2237892 in the pooled analyses (β = -0.0026 per C allele for log(10)[waist circumference] [95% CI -0.0045, -0.0007; p = 0.007]). However, neither an association with the risk of being overweight or obese nor associations with quantitive traits were detected for rs2237892 or rs2237895 in controls. CONCLUSION Our findings indicate that KCNQ1 is associated with obesity in Chinese patients with type 2 diabetes.
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Affiliation(s)
- W Yu
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, People's Republic of China
| | - R C Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, People's Republic of China
| | - C Hu
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, People's Republic of China
| | - W Y So
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, People's Republic of China
| | - R Zhang
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, People's Republic of China
| | - C Wang
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, People's Republic of China
| | - C H Tam
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, People's Republic of China
| | - J S Ho
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, People's Republic of China
| | - J Lu
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, People's Republic of China
| | - F Jiang
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, People's Republic of China
| | - S Tang
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, People's Republic of China
| | - M C Ng
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, People's Republic of China
- Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Y Bao
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, People's Republic of China
| | - K Xiang
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, People's Republic of China
| | - W Jia
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, People's Republic of China.
| | - J C N Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, People's Republic of China.
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Holmes E, Kinross J, Gibson GR, Burcelin R, Jia W, Pettersson S, Nicholson JK. Therapeutic Modulation of Microbiota-Host Metabolic Interactions. Sci Transl Med 2012; 4:137rv6. [DOI: 10.1126/scitranslmed.3004244] [Citation(s) in RCA: 181] [Impact Index Per Article: 15.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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94
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Jia G, Jia W, Ni M, Wan W, Zhou D, Liu W, Zhang J. Microsurgical Strategy and Technique for Preservation of Pituitary Stalk in Giant Pituitary Adenoma. Skull Base Surg 2012. [DOI: 10.1055/s-0032-1314038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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95
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Jia W, Jia G. Surgical Strategy for the Treatment of Prolactinomas. Skull Base Surg 2012. [DOI: 10.1055/s-0032-1314052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Abstract
AIM To describe the status of glycaemic control, self-reported adherence to treatments, psychological well-being and quality of life in Chinese patients with Type 2 diabetes in 2006. METHODS Subjects having registered for care for > 12 months at a diabetes clinic were enrolled in this study. Glycaemic control was determined by HbA(1c) and plasma glucose levels; information about self-reported adherence to treatments was obtained by questionnaire; psychological well-being was assessed by use of a modified World Health Organization-5 Well-being Index; and quality of life was measured by use of a modified Diabetes Attitudes, Wishes and Needs (DAWN) survey. All data were tabulated and statistical analyses were performed. RESULTS A total of 2702 patients were enrolled during 2006. Only 23% of patients achieved an HbA(1c) level of < 48 mmol/mol (6.5%) as per the 2007 China guideline for Type 2 diabetes and only 16.2% followed all treatment recommendations from healthcare providers. Of the patients, 46.0-68.6% of the patients showed positive psychological well-being. A quality-of-life survey showed that 28.5-50.6% of the patients experienced various diabetes-related emotional problems. Large percentages (approximately 50%) of patients were experiencing psychological insulin resistance. CONCLUSIONS Although in China therapies for Type 2 diabetes are more effective and available than ever before, the patient outcomes remain disappointing. Problems with glycaemic control, self-reported adherence to treatments, psychological well-being and quality of life, all of which are key to diabetes control, are common among Chinese patients with Type 2 diabetes.
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Affiliation(s)
- C Pan
- Department of Endocrinology, Chinese PLA General Hospital, Beijing, China.
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97
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Li H, Kilpeläinen TO, Liu C, Zhu J, Liu Y, Hu C, Yang Z, Zhang W, Bao W, Cha S, Wu Y, Yang T, Sekine A, Choi BY, Yajnik CS, Zhou D, Takeuchi F, Yamamoto K, Chan JC, Mani KR, Been LF, Imamura M, Nakashima E, Lee N, Fujisawa T, Karasawa S, Wen W, Joglekar CV, Lu W, Chang Y, Xiang Y, Gao Y, Liu S, Song Y, Kwak SH, Shin HD, Park KS, Fall CHD, Kim JY, Sham PC, Lam KSL, Zheng W, Shu X, Deng H, Ikegami H, Krishnaveni GV, Sanghera DK, Chuang L, Liu L, Hu R, Kim Y, Daimon M, Hotta K, Jia W, Kooner JS, Chambers JC, Chandak GR, Ma RC, Maeda S, Dorajoo R, Yokota M, Takayanagi R, Kato N, Lin X, Loos RJF. Association of genetic variation in FTO with risk of obesity and type 2 diabetes with data from 96,551 East and South Asians. Diabetologia 2012; 55:981-95. [PMID: 22109280 PMCID: PMC3296006 DOI: 10.1007/s00125-011-2370-7] [Citation(s) in RCA: 146] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2011] [Accepted: 10/10/2011] [Indexed: 12/18/2022]
Abstract
AIMS/HYPOTHESIS FTO harbours the strongest known obesity-susceptibility locus in Europeans. While there is growing evidence for a role for FTO in obesity risk in Asians, its association with type 2 diabetes, independently of BMI, remains inconsistent. To test whether there is an association of the FTO locus with obesity and type 2 diabetes, we conducted a meta-analysis of 32 populations including 96,551 East and South Asians. METHODS All studies published on the association between FTO-rs9939609 (or proxy [r (2) > 0.98]) and BMI, obesity or type 2 diabetes in East or South Asians were invited. Each study group analysed their data according to a standardised analysis plan. Association with type 2 diabetes was also adjusted for BMI. Random-effects meta-analyses were performed to pool all effect sizes. RESULTS The FTO-rs9939609 minor allele increased risk of obesity by 1.25-fold/allele (p = 9.0 × 10(-19)), overweight by 1.13-fold/allele (p = 1.0 × 10(-11)) and type 2 diabetes by 1.15-fold/allele (p = 5.5 × 10(-8)). The association with type 2 diabetes was attenuated after adjustment for BMI (OR 1.10-fold/allele, p = 6.6 × 10(-5)). The FTO-rs9939609 minor allele increased BMI by 0.26 kg/m(2) per allele (p = 2.8 × 10(-17)), WHR by 0.003/allele (p = 1.2 × 10(-6)), and body fat percentage by 0.31%/allele (p = 0.0005). Associations were similar using dominant models. While the minor allele is less common in East Asians (12-20%) than South Asians (30-33%), the effect of FTO variation on obesity-related traits and type 2 diabetes was similar in the two populations. CONCLUSIONS/INTERPRETATION FTO is associated with increased risk of obesity and type 2 diabetes, with effect sizes similar in East and South Asians and similar to those observed in Europeans. Furthermore, FTO is also associated with type 2 diabetes independently of BMI.
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Affiliation(s)
- H. Li
- Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 294 Tai-Yuan Road, Shanghai, 200031 People’s Republic of China
| | - T. O. Kilpeläinen
- MRC Epidemiology Unit, Institute of Metabolic Science Box 285, Addenbrooke’s Hospital, Hills Road, Cambridge, CB2 0QQ UK
| | - C. Liu
- Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 294 Tai-Yuan Road, Shanghai, 200031 People’s Republic of China
| | - J. Zhu
- Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 294 Tai-Yuan Road, Shanghai, 200031 People’s Republic of China
| | - Y. Liu
- Institutes of Biomedical Sciences, Fudan University, Shanghai, People’s Republic of China
| | - C. Hu
- Shanghai Diabetes Institute, Department of Endocrinology and Metabolism, Shanghai Clinical Center of Diabetes, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, People’s Republic of China
| | - Z. Yang
- Department of Endocrinology and Metabolism, Huashan Hospital, Institute of Endocrinology and Diabetology at Fudan University, Shanghai Medical School, Fudan University, Shanghai, People’s Republic of China
| | - W. Zhang
- Department Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - W. Bao
- Department of Nutrition and Food Hygiene and MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of China
| | - S. Cha
- Division of Constitutional Medicine Research, Korea Institute of Oriental Medicine, Daejeon, South Korea
| | - Y. Wu
- Department of Genetics, University of North Carolina, Chapel Hill, NC USA
| | - T. Yang
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, and Institute of Molecular Genetics, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an, People’s Republic of China
| | - A. Sekine
- EBM Research Center, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - B. Y. Choi
- Department of Preventive Medicine, HanYang University College of Medicine, Seoul, South Korea
| | - C. S. Yajnik
- Diabetology Research Centre, KEM Hospital and Research Centre, Pune, India
| | - D. Zhou
- Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 294 Tai-Yuan Road, Shanghai, 200031 People’s Republic of China
| | - F. Takeuchi
- National Center for Global Health and Medicine, Tokyo, Japan
| | - K. Yamamoto
- Division of Genome Analysis, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan
| | - J. C. Chan
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region People’s Republic of China
| | - K. R. Mani
- Centre for Cellular and Molecular Biology (CCMB-CSIR), Hyderabad, India
| | - L. F. Been
- University of Oklahoma Health Sciences Center, Oklahoma City, OK USA
| | - M. Imamura
- Laboratory for Endocrinology and Metabolism, RIKEN Center for Genomic Medicine, Yokohama, Japan
| | - E. Nakashima
- Department of Diabetes and Endocrinology, Chubu Rosai Hospital, Nagoya, Japan
| | - N. Lee
- USC Office of Population Studies Foundation, University of San Carlos, Cebu, Philippines
| | - T. Fujisawa
- Department of Geriatric Medicine and Nephrology, Osaka University Graduate School of Medicine, Suita, Japan
| | - S. Karasawa
- Third Department of Internal Medicine, and Global Center of Excellence Program Study Group, Yamagata University School of Medicine, Yamagata, Japan
| | - W. Wen
- Division of Epidemiology, Department of Medicine, Vanderbilt School of Medicine, Nashville, TN USA
| | - C. V. Joglekar
- Diabetology Research Centre, KEM Hospital and Research Centre, Pune, India
| | - W. Lu
- Shanghai Institute of Preventive Medicine, Shanghai, People’s Republic of China
| | - Y. Chang
- National Taiwan University Hospital Bei-Hu branch, Taipei, Taiwan
| | - Y. Xiang
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, People’s Republic of China
| | - Y. Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, People’s Republic of China
| | - S. Liu
- Center for Metabolic Disease Prevention, School of Public Health and David Geffen School of Medicine, UCLA, Los Angeles, CA USA
| | - Y. Song
- Division of Preventive Medicine, Brigham & Women’s Hospital, Harvard Medical School, Boston, MA USA
| | - S. H. Kwak
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - H. D. Shin
- Department of Life Science, Sogang University, Seoul, South Korea
| | - K. S. Park
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - C. H. D. Fall
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, Hampshire UK
| | - J. Y. Kim
- Division of Constitutional Medicine Research, Korea Institute of Oriental Medicine, Daejeon, South Korea
| | - P. C. Sham
- Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region People’s Republic of China
| | - K. S. L. Lam
- Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region People’s Republic of China
| | - W. Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt School of Medicine, Nashville, TN USA
| | - X. Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt School of Medicine, Nashville, TN USA
| | - H. Deng
- School of Medicine, University of Missouri, Kansas City, MO USA
- Center of Systematic Biomedical Research, University of Shanghai for Science and Technology, Shanghai, People’s Republic of China
- Institute of Bioscience and Biotechnology, School of Science, Beijing Jiaotong University, Beijing, People’s Republic of China
| | - H. Ikegami
- Department of Endocrinology, Metabolism and Diabetes, Kinki University School of Medicine, Osaka, Japan
| | - G. V. Krishnaveni
- Epidemiology Research Unit, Holdsworth Memorial Hospital, Mysore, India
| | - D. K. Sanghera
- University of Oklahoma Health Sciences Center, Oklahoma City, OK USA
| | - L. Chuang
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - L. Liu
- Department of Nutrition and Food Hygiene and MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of China
| | - R. Hu
- Department of Endocrinology and Metabolism, Huashan Hospital, Institute of Endocrinology and Diabetology at Fudan University, Shanghai Medical School, Fudan University, Shanghai, People’s Republic of China
| | - Y. Kim
- Department of Preventive Medicine, Dong-A University College of Medicine, Busan, South Korea
| | - M. Daimon
- Third Department of Internal Medicine, and Global Center of Excellence Program Study Group, Yamagata University School of Medicine, Yamagata, Japan
| | - K. Hotta
- EBM Research Center, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - W. Jia
- Shanghai Diabetes Institute, Department of Endocrinology and Metabolism, Shanghai Clinical Center of Diabetes, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, People’s Republic of China
| | - J. S. Kooner
- National Heart & Lung Institute, Hammersmith Hospital, Hammersmith Campus, Faculty of Medicine, Imperial College London, London, UK
| | - J. C. Chambers
- Department Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - G. R. Chandak
- Centre for Cellular and Molecular Biology (CCMB-CSIR), Hyderabad, India
| | - R. C. Ma
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region People’s Republic of China
| | - S. Maeda
- Laboratory for Endocrinology and Metabolism, RIKEN Center for Genomic Medicine, Yokohama, Japan
| | - R. Dorajoo
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Republic of Singapore
- Department of Genomics of Common Disease, School of Public Health, Hammersmith Hospital, Imperial College London, London, UK
| | - M. Yokota
- Department of Genome Science, School of Dentistry, Aichi-Gakuin University, Nagoya, Japan
| | - R. Takayanagi
- Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - N. Kato
- National Center for Global Health and Medicine, Tokyo, Japan
| | - X. Lin
- Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 294 Tai-Yuan Road, Shanghai, 200031 People’s Republic of China
| | - R. J. F. Loos
- MRC Epidemiology Unit, Institute of Metabolic Science Box 285, Addenbrooke’s Hospital, Hills Road, Cambridge, CB2 0QQ UK
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Chen K, Jia W, Zeng Y, Fan M, Su F, Li S. P3-07-13: Validation and Comparison of Models To Predict Nonsentinel Lymph Node Metastasis in Chinese Breast Cancer Patients with Positive Sentinel Lymph Nodes. Cancer Res 2011. [DOI: 10.1158/0008-5472.sabcs11-p3-07-13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Several models for predicting the risk of nonsentinel lymph node (NSLN) metastasis in breast cancer patients with positive sentinel lymph nodes (SLNs) have been developed. Independent validation of these models in different populations is necessary before clinical application. This study aimed to validate and compare these models in Chinese patients.
Patients and Methods: A total of 159 breast cancer patients with positive SLNs treated at our institution were included. Chi-squared tests, RP-ROC, CART and multivariate logistic regression were used to analyze the risk factors for NSLN involvement in our population. ROC curves, calibration plots and false-negative (FN) rates were evaluated for 11 reported models. The threshold of each model for classifying patients into the low-risk group was adjusted to render the FN rate close to 10%.
Results: In total, 81 (50.9%) patients had at least one NSLN involvement. Univariate and multivariate analyses revealed that the number of negative SLNs (P<0.01, HR=0.63) and the metastasis size of the positive SLNs (P<0.01, HR=1.15) independently predicted the NSLN status in our population. The Cambridge and Mou models outperformed the others, both with AUCs of 0.73. The other models performed as follows: the Mayo, Tenon, MDA, MSKCC, Ljubljana, SNUH and Louisville models had AUCs of 0.68, 0.66, 0.66, 0.64, 0.62, 0.61 and 0.60, respectively. The Stanford and Saidi models did not present any discriminative capabilities, with AUCs of 0.54 and 0.50, respectively. The Cambridge, MSKCC and Mayo models were well calibrated. The Ljubljana model did not calibrate well.
With adjusted thresholds, the Mayo model outperformed the others by classifying the highest proportion of patients (20%) into the low-risk group. The Cambridge, Mou and MDA models defined 17.0%, 14.5% and 15.1% of patients as low-risk, respectively.
Conclusion: The Cambridge and Mou models performed well in Chinese patients. ROC curves, calibration plots and FN rates should be used together for the accurate evaluation of prediction models. The analysis of the clinicopathological features of the targeted population is critical for the selection of the most appropriate model. The models specifically designed for patients with micrometastases or macrometastases of SLNs are needed in the future.
Citation Information: Cancer Res 2011;71(24 Suppl):Abstract nr P3-07-13.
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Affiliation(s)
- K Chen
- 1Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - W Jia
- 1Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Y Zeng
- 1Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - M Fan
- 1Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - F Su
- 1Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - S Li
- 1Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
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99
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Wang Y, Ma X, Zhou M, Zong W, Zhang L, Hao Y, Zhu J, Xiao Y, Li D, Bao Y, Jia W. Contribution of visceral fat accumulation to carotid intima-media thickness in a Chinese population. Int J Obes (Lond) 2011; 36:1203-8. [PMID: 22124446 PMCID: PMC3448043 DOI: 10.1038/ijo.2011.222] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Objective: Recent observational studies have reported that body fat distribution might be differentially associated with subclinical atherosclerosis. We previously reported that visceral fat area (VFA) ⩾80 cm2 is the optimal cutoff for identifying abdominal obesity in Chinese subjects. We examined whether VFA ⩾80 cm2 reflects the association between abdominal obesity and subclinical atherosclerosis, and if determination of the visceral fat quantity is useful for assessing subclinical atherosclerosis in asymptomatic individuals. Methods and results: Participants (N=1005, men 515, women 490, 34–66 years) free of cardiovascular disease underwent magnetic resonance imaging and carotid ultrasound assessment to quantify VFA and carotid intima–media thickness (C-IMT). Overweight/obese subjects (body mass index (BMI) ⩾25.0 kg m−2) had a higher C-IMT than lean subjects (BMI <25.0 kg m−2) (P<0.01). Subjects with VFA ⩾80 cm2 had significantly higher C-IMT than those without abdominal obesity regardless of BMI (P<0.01). By multivariate regression analysis adjusted for anthropometric measurements and cardiovascular risk factors, waist circumference but not BMI was independently correlated with C-IMT in men (P<0.001). Similar findings were observed with an accurate obesity indices adjusted model, which showed that VFA was an independent risk factor for increased C-IMT in men but not in women. Conclusions: VFA ⩾80 cm2 effectively identified carotid atherosclerosis for both lean and obese individuals in middle-aged Chinese men.
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Affiliation(s)
- Y Wang
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, China
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100
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Li D, Hou X, Ma X, Zong W, Shao X, Lu H, Xiang K, Jia W. Increment of 30-min post-challenge plasma glucose is associated with urine albumin excretion in men with normal glucose regulation. Diabet Med 2011; 28:1323-9. [PMID: 21658124 DOI: 10.1111/j.1464-5491.2011.03350.x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
AIMS The overwhelming majority of subjects with normal glucose regulation have the highest plasma glucose concentration at 30 minutes during oral glucose tolerance. We aimed to examine the association between increment of 30-min post-challenge glucose and albuminuria in participants with normal glucose regulation. METHODS A population-based cross-sectional study was conducted in six communities in Shanghai between 2007 and 2008. A total of 3508 subjects with normal glucose regulation had complete data and were enrolled into the analysis. Among the selected subjects, only 1525 individuals (581 men, 944 women) were examined for their serum insulin levels. We assessed post-challenge blood glucose and insulin at 0, 30 and 120 min, urinary albumin and creatinine. The 30-min post-challenge glucose increment (Δ) was calculated as 30-min post-challenge glucose minus fasting plasma glucose, and albumin/creatinine ratio was used to reflect urinary albumin excretion. RESULTS Multivariable logistic regression analysis revealed that the Δ30-min post-challenge glucose was independently associated with increased albumin/creatinine ratio in men with normal glucose regulation (OR = 1.08, P = 0.025), but not in women. Furthermore, multivariable linear regression analysis revealed that early-phase glucose disposition index was the main factor responsible for Δ30-min post-challenge glucose and explained 14-20% of the variance of Δ30-min post-challenge glucose in the two subgroups (P < 0.05). Notably, men had higher Δ30-min post-challenge glucose and lower early-phase glucose disposition index than women (all P < 0.001). CONCLUSIONS The 30-min post-challenge plasma glucose increment is associated with urine albumin excretion in men with normal glucose regulation.
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Affiliation(s)
- D Li
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
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