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Fan B, Wu Y, Guo H, Yu F, Liu LE, Yu S, Wang J, Wang Y. Self-assembly of cascade nanoenzyme glucose oxidase encapsulated in copper benzenedicarboxylate for wearable sweat-glucose colorimetric sensors with smartphone readout. Anal Chim Acta 2024; 1316:342852. [PMID: 38969409 DOI: 10.1016/j.aca.2024.342852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 06/06/2024] [Accepted: 06/07/2024] [Indexed: 07/07/2024]
Abstract
BACKGROUND With the advent of personalized medical approaches, precise and tailored treatments are expected to become widely accepted for the prevention and treatment of diabetes. Paper-based colorimetric sensors that function in combination with smartphones have been rapidly developed in recent years because it does not require additional equipment and is inexpensive and easy to perform. In this study, we developed a portable, low-cost, and wearable sweat-glucose detection device for in situ detection. RESULTS The sensor adopted an integrated biomimetic nanoenzyme of glucose oxidase (GOx) encapsulated in copper 1, 4-benzenedicarboxylate (CuBDC) (GOx@CuBDC) through a biomimetic mineralization process. CuBDC exhibited a peroxide-like effect, cascade catalytic effect with the encapsulated GOx, and increased the enzyme stability. GOx@CuBDC and 3,3,5,5-tetramethylbenzidine were combined to form a hybrid membrane that achieved single-step paper-based glucose detection. SIGNIFICANCE AND NOVELTY This GOx@CuBDC-based colorimetric glucose sensor was used to quantitatively analyze the sweat-glucose concentration with smartphone readings. The sensor exhibited a good linear relationship over the concentration range of 40-900 μM and a limit of detection of 20.7 μM (S/N = 3). Moreover, the sensor performed well in situ monitoring and in evaluating variations based on the consumption of foods with different glycemic indices. Therefore, the fabricated wearable sweat-glucose sensors exhibited optimal practical application performance.
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Affiliation(s)
- Binghua Fan
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, China
| | - Yongjun Wu
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, China; The Key Laboratory of Nanomedicine and Health Inspection of Zhengzhou, Zhengzhou, Henan, 450001, China
| | - Hongchao Guo
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, China
| | - Fei Yu
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, China
| | - Li-E Liu
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, China
| | - Songcheng Yu
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, China
| | - Jia Wang
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, China
| | - Yilin Wang
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, China.
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Seo S, Kim YA, Lee Y, Kim YJ, Kim BJ, An JH, Jin H, Do AR, Park K, Won S, Seo JH. Epigenetic link between Agent Orange exposure and type 2 diabetes in Korean veterans. Front Endocrinol (Lausanne) 2024; 15:1375459. [PMID: 39072272 PMCID: PMC11272593 DOI: 10.3389/fendo.2024.1375459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 06/24/2024] [Indexed: 07/30/2024] Open
Abstract
Conflicting findings have been reported regarding the association between Agent Orange (AO) exposure and type 2 diabetes. This study aimed to examine whether AO exposure is associated with the development of type 2 diabetes and to verify the causal relationship between AO exposure and type 2 diabetes by combining DNA methylation with DNA genotype analyses. An epigenome-wide association study and DNA genotype analyses of the blood of AO-exposed and AO-unexposed individuals with type 2 diabetes and that of healthy controls were performed. Methylation quantitative trait locus and Mendelian randomisation analyses were performed to evaluate the causal effect of AO-exposure-identified CpGs on type 2 diabetes. AO-exposed individuals with type 2 diabetes were associated with six hypermethylated CpG sites (cg20075319, cg21757266, cg05203217, cg20102280, cg26081717, and cg21878650) and one hypo-methylated CpG site (cg07553761). Methylation quantitative trait locus analysis showed the methylation levels of some CpG sites (cg20075319, cg20102280, and cg26081717) to be significantly different. Mendelian randomisation analysis showed that CpG sites that were differentially methylated in AO-exposed individuals were causally associated with type 2 diabetes; the reverse causal effect was not significant. These findings reflect the need for further epigenetic studies on the causal relationship between AO exposure and type 2 diabetes.
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Affiliation(s)
- Sujin Seo
- Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea
| | - Ye An Kim
- Division of Endocrinology, Department of Internal Medicine, Veterans Health Service Medical Center, Seoul, Republic of Korea
| | - Young Lee
- Veterans Medical Research Institute, Veterans Health Service Medical Center, Seoul, Republic of Korea
| | - Young Jin Kim
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Republic of Korea
| | - Bong-Jo Kim
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Republic of Korea
| | - Jae Hoon An
- Institute of Health and Environment, Seoul National University, Seoul, Republic of Korea
| | - Heejin Jin
- Institute of Health and Environment, Seoul National University, Seoul, Republic of Korea
| | - Ah Ra Do
- Interdisciplinary Program of Bioinformatics, College of National Sciences, Seoul National University, Seoul, Republic of Korea
| | - Kyungtaek Park
- Institute of Health and Environment, Seoul National University, Seoul, Republic of Korea
| | - Sungho Won
- Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea
- Institute of Health and Environment, Seoul National University, Seoul, Republic of Korea
- Interdisciplinary Program of Bioinformatics, College of National Sciences, Seoul National University, Seoul, Republic of Korea
| | - Je Hyun Seo
- Veterans Medical Research Institute, Veterans Health Service Medical Center, Seoul, Republic of Korea
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Li Y, Xu M, Chen J, Huang J, Cao J, Chen H, Zhang J, Luo Y, Wang Y, Sun J. Ameliorating and refining islet organoids to illuminate treatment and pathogenesis of diabetes mellitus. Stem Cell Res Ther 2024; 15:188. [PMID: 38937834 PMCID: PMC11210168 DOI: 10.1186/s13287-024-03780-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Accepted: 06/01/2024] [Indexed: 06/29/2024] Open
Abstract
Diabetes mellitus, a significant global public health challenge, severely impacts human health worldwide. The organoid, an innovative in vitro three-dimensional (3D) culture model, closely mimics tissues or organs in vivo. Insulin-secreting islet organoid, derived from stem cells induced in vitro with 3D structures, has emerged as a potential alternative for islet transplantation and as a possible disease model that mirrors the human body's in vivo environment, eliminating species difference. This technology has gained considerable attention for its potential in diabetes treatment. Despite advances, the process of stem cell differentiation into islet organoid and its cultivation demonstrates deficiencies, prompting ongoing efforts to develop more efficient differentiation protocols and 3D biomimetic materials. At present, the constructed islet organoid exhibit limitations in their composition, structure, and functionality when compared to natural islets. Consequently, further research is imperative to achieve a multi-tissue system composition and improved insulin secretion functionality in islet organoid, while addressing transplantation-related safety concerns, such as tumorigenicity, immune rejection, infection, and thrombosis. This review delves into the methodologies and strategies for constructing the islet organoid, its application in diabetes treatment, and the pivotal scientific challenges within organoid research, offering fresh perspectives for a deeper understanding of diabetes pathogenesis and the development of therapeutic interventions.
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Affiliation(s)
- Yushan Li
- Department of Endocrinology, Zhujiang Hospital, The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Meiqi Xu
- Department of Biomedical Engineering, Shanxi Medical University, Taiyuan, Shanxi, 030001, China
| | - Jiali Chen
- Department of Endocrinology, Zhujiang Hospital, The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Jiansong Huang
- Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Jiaying Cao
- Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Huajing Chen
- Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Jiayi Zhang
- Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Yukun Luo
- Department of Endocrinology, Zhujiang Hospital, The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Yazhuo Wang
- Tsinghua-Peking Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing, China.
| | - Jia Sun
- Department of Endocrinology, Zhujiang Hospital, The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.
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Silva L, Pacheco T, Araújo E, Duarte RJ, Ribeiro-Vaz I, Ferreira-da-Silva R. Unveiling the future: precision pharmacovigilance in the era of personalized medicine. Int J Clin Pharm 2024; 46:755-760. [PMID: 38416349 PMCID: PMC11133017 DOI: 10.1007/s11096-024-01709-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Accepted: 01/30/2024] [Indexed: 02/29/2024]
Abstract
In the era of personalized medicine, pharmacovigilance faces new challenges and opportunities, demanding a shift from traditional approaches. This article delves into the evolving landscape of drug safety monitoring in the context of personalized treatments. We aim to provide a succinct reflection on the intersection of tailored therapeutic strategies and vigilant pharmacovigilance practices. We discuss the integration of pharmacogenetics in enhancing drug safety, illustrating how genetic profiling aids in predicting drug responses and adverse reactions. Emphasizing the importance of phase IV-post-marketing surveillance, we explore the limitations of pre-marketing trials and the necessity for a comprehensive approach to drug safety. The article discusses the pivotal role of pharmacogenetics in pre-exposure risk management and the redefinition of pharmacoepidemiological methods for post-exposure surveillance. We highlight the significance of integrating patient-specific genetic profiles in creating personalized medication leaflets and the use of advanced computational methods in data analysis. Additionally, we examine the ethical, privacy, and data security challenges inherent in precision medicine, emphasizing their implications for patient consent and data management.
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Affiliation(s)
- Lurdes Silva
- Faculty of Pharmacy of the University of Porto, Porto, Portugal
| | - Teresa Pacheco
- Faculty of Pharmacy of the University of Porto, Porto, Portugal
| | - Emília Araújo
- Palliative Care Service, Portuguese Oncology Institute of Porto (IPO Porto), Porto, Portugal
- Center for Health Technology and Services Research, Associate Laboratory RISE - Health Research Network (CINTESIS@RISE), Porto, Portugal
| | | | - Inês Ribeiro-Vaz
- Center for Health Technology and Services Research, Associate Laboratory RISE - Health Research Network (CINTESIS@RISE), Porto, Portugal
- Porto Pharmacovigilance Centre, Faculty of Medicine of the University of Porto, Porto, Portugal
- Department of Community Medicine, Health Information and Decision, Faculty of Medicine of the University of Porto, Porto, Portugal
| | - Renato Ferreira-da-Silva
- Center for Health Technology and Services Research, Associate Laboratory RISE - Health Research Network (CINTESIS@RISE), Porto, Portugal.
- Porto Pharmacovigilance Centre, Faculty of Medicine of the University of Porto, Porto, Portugal.
- Department of Community Medicine, Health Information and Decision, Faculty of Medicine of the University of Porto, Porto, Portugal.
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Hu T, Zhang W, Han F, Zhao R, Liu H, An Z. Machine learning reveals serum myristic acid, palmitic acid and heptanoylcarnitine as biomarkers of coronary artery disease risk in patients with type 2 diabetes mellitus. Clin Chim Acta 2024; 556:117852. [PMID: 38438006 DOI: 10.1016/j.cca.2024.117852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 01/25/2024] [Accepted: 03/01/2024] [Indexed: 03/06/2024]
Abstract
BACKGROUND Coronary heart disease (CHD) is the most important complication of type 2 diabetes mellitus (T2DM) and the leading cause of death. Identifying the risk of CHD in T2DM patients is important for early clinical intervention. METHODS A total of 213 participants, including 81 healthy controls (HCs), 69 T2DM patients and 63 T2DM patients complicated with CHD were recruited in this study. Serum metabolomics were conducted by using ultra-high performance liquid chromatography coupled with tandem mass spectrometry (UHPLC-MS/MS). Demographic information and clinical laboratory test results were also collected. RESULTS Metabolic phenotypes were significantly altered among HC, T2DM and T2DM-CHD. Acylcarnitines were the most disturbed metabolites between T2DM patients and HCs. Lower levels of bile acids and higher levels of fatty acids in serum were closely associated with CHD risk in T2DM patients. Artificial neural network model was constructed for the discrimination of T2DM and T2DM complicated with CHD based on myristic acid, palmitic acid and heptanoylcarnitine, with accuracy larger than 0.95 in both training set and testing set. CONCLUSION Altogether, these findings suggest that myristic acid, palmitic acid and heptanoylcarnitine have a good prospect for the warning of CHD complications in T2DM patients, and are superior to traditional lipid, blood glucose and blood pressure indicators.
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Affiliation(s)
- Ting Hu
- Beijing Chao-Yang Hospital, Capital Medical University, No.8 Gongti South Road, Chaoyang District, Beijing 100020, PR China.
| | - Wen Zhang
- Beijing Chao-Yang Hospital, Capital Medical University, No.8 Gongti South Road, Chaoyang District, Beijing 100020, PR China
| | - Feifei Han
- Beijing Chao-Yang Hospital, Capital Medical University, No.8 Gongti South Road, Chaoyang District, Beijing 100020, PR China
| | - Rui Zhao
- Beijing Chao-Yang Hospital, Capital Medical University, No.8 Gongti South Road, Chaoyang District, Beijing 100020, PR China
| | - Hongchuan Liu
- Beijing Chao-Yang Hospital, Capital Medical University, No.8 Gongti South Road, Chaoyang District, Beijing 100020, PR China
| | - Zhuoling An
- Beijing Chao-Yang Hospital, Capital Medical University, No.8 Gongti South Road, Chaoyang District, Beijing 100020, PR China.
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Yuan L, Zhao J, Liu Y, Zhao J, Olnood CG, Xu YJ, Liu Y. Multiomics analysis revealed the mechanism of the anti-diabetic effect of Salecan. Carbohydr Polym 2024; 327:121694. [PMID: 38171651 DOI: 10.1016/j.carbpol.2023.121694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 12/07/2023] [Accepted: 12/12/2023] [Indexed: 01/05/2024]
Abstract
Salecan, a natural β-glucan compromising nine residues connected by β-(1 → 3)/α-(1 → 3) glycosidic bonds, is one of the newly approved food ingredients. Salecan has multiple health-improving effects, yet its mechanism against Type 2 diabetes mellitus (T2DM) remains poorly understood. In this study, the hypoglycemic effect and underlying mechanism of Salecan intervention on STZ-induced diabetic model mice were investigated. After 8 weeks of gavage, Salecan attenuated insulin resistance and repaired pancreatic β cells in a dose-dependent manner. In addition, Salecan supplement remodel the structure of the gut microbiota and altered the level of intestinal metabolites. Serum metabolites, especially unsaturated fatty acids, were also affected significantly. In addition, tight junction proteins in the colon and autophagy-related proteins in the pancreas were upregulated. Multiomics analysis indicated that Lactobacillus johnsonii, Muribaculaceae, and Lachnoclostridium were highly associated with fatty acid esters of hydroxy fatty acids (FAHFA) levels in the colon, accordingly enhancing arachidonic acid and linoleic acid in serum, and promoting GLP-1 release in the intestine and insulin secretion in the pancreas, thus relieving insulin resistance and exhibiting hypoglycemic effects. These findings provide a novel understanding of the anti-diabetic effect of Salecan in mice from a molecular perspective, paving the way for the wide use of Salecan.
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Affiliation(s)
- Liyang Yuan
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, National Engineering Research Center for Functional Food, National Engineering Laboratory for Cereal Fermentation Technology, Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, 1800 Lihu Road, Wuxi 214122, Jiangsu, China
| | - Juan Zhao
- Sichuan Synlight Biotech Ltd, 88 Keyuan South Road, Chengdu 610000, Sichuan, China
| | - Yanjun Liu
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, National Engineering Research Center for Functional Food, National Engineering Laboratory for Cereal Fermentation Technology, Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, 1800 Lihu Road, Wuxi 214122, Jiangsu, China
| | - Jialiang Zhao
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, National Engineering Research Center for Functional Food, National Engineering Laboratory for Cereal Fermentation Technology, Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, 1800 Lihu Road, Wuxi 214122, Jiangsu, China
| | - Chen Guang Olnood
- Sichuan Synlight Biotech Ltd, 88 Keyuan South Road, Chengdu 610000, Sichuan, China
| | - Yong-Jiang Xu
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, National Engineering Research Center for Functional Food, National Engineering Laboratory for Cereal Fermentation Technology, Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, 1800 Lihu Road, Wuxi 214122, Jiangsu, China.
| | - Yuanfa Liu
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, National Engineering Research Center for Functional Food, National Engineering Laboratory for Cereal Fermentation Technology, Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, 1800 Lihu Road, Wuxi 214122, Jiangsu, China.
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Wang X, Wang Y, Hou J, Liu H, Zeng R, Li X, Han M, Li Q, Ji L, Pan D, Jia W, Zhong W, Xu T. Plasma proteome profiling reveals the therapeutic effects of the PPAR pan-agonist chiglitazar on insulin sensitivity, lipid metabolism, and inflammation in type 2 diabetes. Sci Rep 2024; 14:638. [PMID: 38182717 PMCID: PMC10770401 DOI: 10.1038/s41598-024-51210-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 01/02/2024] [Indexed: 01/07/2024] Open
Abstract
Chiglitazar is a novel peroxisome proliferator-activated receptor (PPAR) pan-agonist, which passed phase III clinical trials and was newly approved in China for use as an adjunct to diet and exercise in glycemic control in adult patients with Type 2 Diabetes (T2D). To explore the circulating protein signatures associated with the administration of chiglitazar in T2D patients, we conducted a comparative longitudinal study using plasma proteome profiling. Of the 157 T2D patients included in the study, we administered chiglitazar to a specific group, while the controls were given either placebo or sitagliptin. The plasma proteomes were profiled at baseline and 12 and 24 weeks post-treatment using data-independent acquisition mass spectrometry (DIA-MS). Our study indicated that 13 proteins were associated with chiglitazar treatment in T2D patients, including 10 up-regulated proteins (SHBG, TF, APOA2, APOD, GSN, MBL2, CFD, PGLYRP2, A2M, and APOA1) and 3 down-regulated proteins (PRG4, FETUB, and C2) after treatment, which were implicated in the regulation of insulin sensitivity, lipid metabolism, and inflammation response. Our study provides insight into the response of chiglitazar treatment from a proteome perspective and demonstrates the multi-faceted effects of chiglitazar in T2D patients, which will help the clinical application of chiglitazar and further study of its action mechanism.
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Affiliation(s)
- Xingyue Wang
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing, China
| | - You Wang
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Junjie Hou
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Hongyang Liu
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Rong Zeng
- CAS Key Laboratory of Systems Biology, CAS Center for Excellence in Molecular Cell Sciences, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, China
| | - Xiangyu Li
- Guangzhou National Laboratory, Guangzhou, China
| | - Mei Han
- Guangzhou National Laboratory, Guangzhou, China
| | - Qingrun Li
- CAS Key Laboratory of Systems Biology, CAS Center for Excellence in Molecular Cell Sciences, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, China
| | - Linong Ji
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China
| | - Desi Pan
- Shenzhen Chipscreen Biosciences Co., Ltd, Shenzhen, China
| | - Weiping Jia
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Wen Zhong
- Guangzhou National Laboratory, Guangzhou, China.
| | - Tao Xu
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
- Guangzhou National Laboratory, Guangzhou, China.
- Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China.
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Galiero R, Caturano A, Vetrano E, Monda M, Marfella R, Sardu C, Salvatore T, Rinaldi L, Sasso FC. Precision Medicine in Type 2 Diabetes Mellitus: Utility and Limitations. Diabetes Metab Syndr Obes 2023; 16:3669-3689. [PMID: 38028995 PMCID: PMC10658811 DOI: 10.2147/dmso.s390752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 10/27/2023] [Indexed: 12/01/2023] Open
Abstract
Type 2 diabetes mellitus (T2DM) is one of the most widespread diseases in Western countries, and its incidence is constantly increasing. Epidemiological studies have shown that in the next 20 years. The number of subjects affected by T2DM will double. In recent years, owing to the development and improvement in methods for studying the genome, several authors have evaluated the association between monogenic or polygenic genetic alterations and the development of metabolic diseases and complications. In addition, sedentary lifestyle and socio-economic and pandemic factors have a great impact on the habits of the population and have significantly contributed to the increase in the incidence of metabolic disorders, obesity, T2DM, metabolic syndrome, and liver steatosis. Moreover, patients with type 2 diabetes appear to respond to antihyperglycemic drugs. Only a minority of patients could be considered true non-responders. Thus, it appears clear that the main aim of precision medicine in T2DM is to identify patients who can benefit most from a specific drug class more than from the others. Precision medicine is a discipline that evaluates the applicability of genetic, lifestyle, and environmental factors to disease development. In particular, it evaluated whether these factors could affect the development of diseases and their complications, response to diet, lifestyle, and use of drugs. Thus, the objective is to find prevention models aimed at reducing the incidence of pathology and mortality and therapeutic personalized approaches, to obtain a greater probability of response and efficacy. This review aims to evaluate the applicability of precision medicine for T2DM, a healthcare burden in many countries.
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Affiliation(s)
- Raffaele Galiero
- Department of Advanced Medical and Surgical Sciences, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Alfredo Caturano
- Department of Advanced Medical and Surgical Sciences, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Erica Vetrano
- Department of Advanced Medical and Surgical Sciences, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Marcellino Monda
- Department of Experimental Medicine, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Raffaele Marfella
- Department of Advanced Medical and Surgical Sciences, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Celestino Sardu
- Department of Advanced Medical and Surgical Sciences, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Teresa Salvatore
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Luca Rinaldi
- Department of Advanced Medical and Surgical Sciences, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Ferdinando Carlo Sasso
- Department of Advanced Medical and Surgical Sciences, University of Campania “Luigi Vanvitelli”, Naples, Italy
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Zhuang M, Rao L, Chen Y, Xiao S, Xia H, Yang J, Lv X, Qin D, Zhu C. Controlled SPION-Exosomes Loaded with Quercetin Preserves Pancreatic Beta Cell Survival and Function in Type 2 Diabetes Mellitus. Int J Nanomedicine 2023; 18:5733-5748. [PMID: 37849640 PMCID: PMC10578181 DOI: 10.2147/ijn.s422416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 09/23/2023] [Indexed: 10/19/2023] Open
Abstract
Introduction Quercetin has an ideal therapeutic effect on islet function improvement in type 2 diabetes mellitus (T2DM). However, the therapeutic benefit of quercetin is hindered by its poor bioavailability and limited concentration in pancreatic islets. In this study, superparamagnetic iron oxide nanoparticle (SPION)-modified exosomes were prepared to load quercetin, hoping to endow quercetin with enhanced water solubility and active targeting capacity with the help of magnetic force (MF). Methods Transferrin-modified SPIONs (Tf-SPIONs) were synthesized by exploiting N-hydroxysuccinimidyl (NHS) conjugation chemistry, and quercetin-loaded exosomes (Qu-exosomes) were acquired by electroporation. Tf-SPION-modified quercetin-loaded exosomes (Qu-exosome-SPIONs) were generated by the self-assembly of transferrin (Tf) and the transferrin receptor (TfR). The solubility of quercetin was determined by high-performance liquid chromatography (HPLC) analysis. The pancreatic islet targeting capacity and insulin secretagogue and antiapoptotic activities of Qu-exosome-SPIONs/MF were evaluated both in vitro and in vivo. Results The Qu-exosome-SPIONs were well constructed and harvested by magnetic separation with a uniform size and shape in a diameter of approximately 86.2 nm. The water solubility of quercetin increased 1.97-fold when loaded into the SPION-modified exosomes. The application of SPIONs/MF endowed the Qu-exosomes with favorable targeting capacity. In vitro studies showed that Qu-exosome-SPIONs/MF more effectively inhibited or attenuated β cell apoptosis and promoted insulin secretion in response to elevated glucose (GLC) compared with quercetin or Qu-exosome-SPIONs. In vivo studies demonstrated that Qu-exosome-SPIONs/MF displayed an ideal pancreatic islet targeting capacity, thereby leading to the restoration of islet function. Conclusion The Qu-exosome-SPIONs/MF nano-delivery system significantly enhanced the quercetin concentration in pancreatic islets and thereby improved pancreatic islet protection.
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Affiliation(s)
- Manjiao Zhuang
- Guangdong Provincial Key Laboratory of Research and Development of Natural Drugs, and School of Pharmacy, Guangdong Medical University, Dongguan, 523808, People’s Republic of China
| | - Lei Rao
- Medical College, Shaoguan University, Shaoguan, 512026, People’s Republic of China
- Department of Biomedicine, Chengdu Medical College, Chengdu, 610500, People’s Republic of China
| | - Yadi Chen
- Guangdong Provincial Key Laboratory of Research and Development of Natural Drugs, and School of Pharmacy, Guangdong Medical University, Dongguan, 523808, People’s Republic of China
| | - Shangying Xiao
- Guangdong Provincial Key Laboratory of Research and Development of Natural Drugs, and School of Pharmacy, Guangdong Medical University, Dongguan, 523808, People’s Republic of China
| | - Haishan Xia
- Guangdong Provincial Key Laboratory of Research and Development of Natural Drugs, and School of Pharmacy, Guangdong Medical University, Dongguan, 523808, People’s Republic of China
| | - Jiangyong Yang
- Medical College, Shaoguan University, Shaoguan, 512026, People’s Republic of China
| | - Xiaohua Lv
- Guangdong Provincial Key Laboratory of Research and Development of Natural Drugs, and School of Pharmacy, Guangdong Medical University, Dongguan, 523808, People’s Republic of China
| | - Dongyun Qin
- Guangdong Provincial Key Laboratory of Research and Development of Natural Drugs, and School of Pharmacy, Guangdong Medical University, Dongguan, 523808, People’s Republic of China
| | - Chunjie Zhu
- Guangdong Provincial Key Laboratory of Research and Development of Natural Drugs, and School of Pharmacy, Guangdong Medical University, Dongguan, 523808, People’s Republic of China
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10
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Murphy R, Colclough K, Pollin TI, Ikle JM, Svalastoga P, Maloney KA, Saint-Martin C, Molnes J, Misra S, Aukrust I, de Franco E, Flanagan SE, Njølstad PR, Billings LK, Owen KR, Gloyn AL. The use of precision diagnostics for monogenic diabetes: a systematic review and expert opinion. COMMUNICATIONS MEDICINE 2023; 3:136. [PMID: 37794142 PMCID: PMC10550998 DOI: 10.1038/s43856-023-00369-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 09/21/2023] [Indexed: 10/06/2023] Open
Abstract
BACKGROUND Monogenic diabetes presents opportunities for precision medicine but is underdiagnosed. This review systematically assessed the evidence for (1) clinical criteria and (2) methods for genetic testing for monogenic diabetes, summarized resources for (3) considering a gene or (4) variant as causal for monogenic diabetes, provided expert recommendations for (5) reporting of results; and reviewed (6) next steps after monogenic diabetes diagnosis and (7) challenges in precision medicine field. METHODS Pubmed and Embase databases were searched (1990-2022) using inclusion/exclusion criteria for studies that sequenced one or more monogenic diabetes genes in at least 100 probands (Question 1), evaluated a non-obsolete genetic testing method to diagnose monogenic diabetes (Question 2). The risk of bias was assessed using the revised QUADAS-2 tool. Existing guidelines were summarized for questions 3-5, and review of studies for questions 6-7, supplemented by expert recommendations. Results were summarized in tables and informed recommendations for clinical practice. RESULTS There are 100, 32, 36, and 14 studies included for questions 1, 2, 6, and 7 respectively. On this basis, four recommendations for who to test and five on how to test for monogenic diabetes are provided. Existing guidelines for variant curation and gene-disease validity curation are summarized. Reporting by gene names is recommended as an alternative to the term MODY. Key steps after making a genetic diagnosis and major gaps in our current knowledge are highlighted. CONCLUSIONS We provide a synthesis of current evidence and expert opinion on how to use precision diagnostics to identify individuals with monogenic diabetes.
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Affiliation(s)
- Rinki Murphy
- Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.
- Auckland Diabetes Centre, Te Whatu Ora Health New Zealand, Te Tokai Tumai, Auckland, New Zealand.
| | - Kevin Colclough
- Exeter Genomics Laboratory, Royal Devon University Healthcare NHS Foundation Trust, Exeter, United Kingdom
| | - Toni I Pollin
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Jennifer M Ikle
- Department of Pediatrics, Division of Endocrinology & Diabetes, Stanford School of Medicine, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford School of Medicine, Stanford, CA, USA
| | - Pernille Svalastoga
- Children and Youth Clinic, Haukeland University Hospital, Bergen, Norway
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Kristin A Maloney
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Cécile Saint-Martin
- Department of Medical Genetics, AP-HP Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France
| | - Janne Molnes
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Shivani Misra
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- Department of Diabetes and Endocrinology, Imperial College Healthcare NHS Trust, London, UK
| | - Ingvild Aukrust
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Elisa de Franco
- Department of Clinical and Biomedical Science, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Sarah E Flanagan
- Department of Clinical and Biomedical Science, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Pål R Njølstad
- Children and Youth Clinic, Haukeland University Hospital, Bergen, Norway
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Liana K Billings
- Division of Endocrinology, NorthShore University HealthSystem, Skokie, IL, USA
- Department of Medicine, Pritzker School of Medicine, University of Chicago, Chicago, IL, USA
| | - Katharine R Owen
- Oxford Center for Diabetes, Endocrinology & Metabolism, University of Oxford, Oxford, UK
- NIHR Oxford Biomedical Research Centre, Oxford, UK
| | - Anna L Gloyn
- Department of Pediatrics, Division of Endocrinology & Diabetes, Stanford School of Medicine, Stanford, CA, USA.
- Stanford Diabetes Research Center, Stanford School of Medicine, Stanford, CA, USA.
- Department of Genetics, Stanford School of Medicine, Stanford, CA, USA.
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11
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Xue Q, Li X, Wang X, Ma H, Heianza Y, Qi L. Subtypes of Type 2 Diabetes and Incident Cardiovascular Disease Risk: UK Biobank and All of Us Cohorts. Mayo Clin Proc 2023; 98:1192-1204. [PMID: 37422735 DOI: 10.1016/j.mayocp.2023.01.024] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 12/02/2022] [Accepted: 01/31/2023] [Indexed: 07/10/2023]
Abstract
OBJECTIVE To characterize and validate the subtypes of type 2 diabetes (T2D) using a novel clustering algorithm and to further assess their associations with the risk of incident cardiovascular disease (CVD) events. METHODS Unsupervised k-means clustering based on glycated hemoglobin level, age at onset of T2D, body mass index, and estimated glomerular filtration rate was conducted among participants with T2D from the UK Biobank (March 13, 2006, to October 1, 2010) and replicated in the All of Us cohort (May 30, 2017, to April 1, 2021). RESULTS Five distinct T2D clusters were identified in the UK Biobank and validated in the All of Us cohort, characterizing the phenotypically heterogeneous subtypes. With a median follow-up of 11.69 years for patients with T2D in the UK Biobank, risks of incident CVD events varied considerably between the clusters after adjustment for potential confounders and multiple testing (all P<.001). With cluster 1 characterized by early onset of T2D and mild abnormalities of other variables as the reference, patients in cluster 5 characterized by poor renal function had the highest risk of CVD events (hazard ratio [95% CI], 1.72 [1.45 to 2.03], 2.41 [1.93 to 3.02], and 1.62 [1.35 to 1.94] for composite CVD event, CVD mortality, and CVD incidence, respectively; all P<.001), followed by cluster 4 characterized by poor glycemic control and cluster 3 characterized by severe obesity. No consistently significant difference was found between cluster 2 characterized by late onset of T2D and cluster 1. CONCLUSION Our study, using a novel clustering algorithm to identify robust subtypes of T2D, found heterogeneous associations with incident CVD risk among patients with diabetes.
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Affiliation(s)
- Qiaochu Xue
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Xiang Li
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Xuan Wang
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Hao Ma
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Yoriko Heianza
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.
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12
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Liu Z, Jia X, Wu P, Wu B, Pan Y, Zhong S, Xiao L, Song Y, Hu J, Zhou K. PMAT variant rs3889348 is associated with metformin-induced gastrointestinal among Chinese Type 2 diabetes patients. Pharmacogenomics 2023; 24:551-560. [PMID: 37458617 DOI: 10.2217/pgs-2023-0078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/22/2023] Open
Abstract
Aim: This study examined intronic gene variants for their association with metformin intolerance in a Chinese population, focusing on the plasma monoamine transporter (PMAT) cis-protein expression quantitative trait loci (cis-eQTL) variant rs3889348. Methods: We recruited Type 2 diabetes patients from two hospitals and identified 111 metformin-intolerant patients using a questionnaire, and selected 206 metformin-tolerant patients from 2180 Type 2 diabetes mellitus patients. Genetic testing revealed an association between adverse gastrointestinal (GI) effects and SLC22A1 and PMAT. Results: The single-nucleotide polymorphism rs3889348 is associated with metformin-induced adverse GI effects. Each additional copy of the G allele increases the score by 5.23 (95% CI: 1.82-8.64; p = 0.003). Patients taking more transporter inhibitors were more likely to respond to metformin-induced GI intolerance (p = 0.042). Conclusion: PMAT cis-eQTL rs3889348 was significantly associated with metformin-induced adverse GI effects.
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Affiliation(s)
- Ziqing Liu
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 10140, China
| | - Xiao Jia
- State Key Laboratory of Medicinal Chemical Biology, College of Pharmacy & Tianjin Key Laboratory of Molecular Drug Research, Nankai University, Tianjin, 300000, China
| | - Peng Wu
- Guangzhou Laboratory, Guangdong Province, China
| | - Benrui Wu
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 10140, China
- National Laboratory of Biomacromolecules, Institute of Biophysics Chinese Academy of Sciences, Beijing, 100101, China
| | - Ying Pan
- The first people's hospital of Kunshan, Jiangsu Province, China
| | - Shao Zhong
- The first people's hospital of Kunshan, Jiangsu Province, China
| | - Luhua Xiao
- Kunshan community health service center in Bailu, Jiangsu Province, China
| | - Yuehong Song
- Kunshan community health service center in Zhenchuan, Jiangsu Province, China
| | - Jinbo Hu
- Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Kaixin Zhou
- Guangzhou Laboratory, Guangdong Province, China
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13
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Goyal S, Rani J, Bhat MA, Vanita V. Genetics of diabetes. World J Diabetes 2023; 14:656-679. [PMID: 37383588 PMCID: PMC10294065 DOI: 10.4239/wjd.v14.i6.656] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 03/13/2023] [Accepted: 04/17/2023] [Indexed: 06/14/2023] Open
Abstract
Diabetes mellitus is a complicated disease characterized by a complex interplay of genetic, epigenetic, and environmental variables. It is one of the world's fastest-growing diseases, with 783 million adults expected to be affected by 2045. Devastating macrovascular consequences (cerebrovascular disease, cardiovascular disease, and peripheral vascular disease) and microvascular complications (like retinopathy, nephropathy, and neuropathy) increase mortality, blindness, kidney failure, and overall quality of life in individuals with diabetes. Clinical risk factors and glycemic management alone cannot predict the development of vascular problems; multiple genetic investigations have revealed a clear hereditary component to both diabetes and its related complications. In the twenty-first century, technological advancements (genome-wide association studies, next-generation sequencing, and exome-sequencing) have led to the identification of genetic variants associated with diabetes, however, these variants can only explain a small proportion of the total heritability of the condition. In this review, we address some of the likely explanations for this "missing heritability", for diabetes such as the significance of uncommon variants, gene-environment interactions, and epigenetics. Current discoveries clinical value, management of diabetes, and future research directions are also discussed.
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Affiliation(s)
- Shiwali Goyal
- Department of Ophthalmic Genetics and Visual Function Branch, National Eye Institute, Rockville, MD 20852, United States
| | - Jyoti Rani
- Department of Human Genetics, Guru Nanak Dev University, Amritsar 143005, Punjab, India
| | - Mohd Akbar Bhat
- Department of Ophthalmology, Georgetown University Medical Center, Washington DC, DC 20057, United States
| | - Vanita Vanita
- Department of Human Genetics, Guru Nanak Dev University, Amritsar 143005, Punjab, India
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14
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Murphy R, Colclough K, Pollin TI, Ikle JM, Svalastoga P, Maloney KA, Saint-Martin C, Molnes J, Misra S, Aukrust I, de Franco A, Flanagan SE, Njølstad PR, Billings LK, Owen KR, Gloyn AL. A Systematic Review of the use of Precision Diagnostics in Monogenic Diabetes. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.04.15.23288269. [PMID: 37131594 PMCID: PMC10153302 DOI: 10.1101/2023.04.15.23288269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Monogenic forms of diabetes present opportunities for precision medicine as identification of the underlying genetic cause has implications for treatment and prognosis. However, genetic testing remains inconsistent across countries and health providers, often resulting in both missed diagnosis and misclassification of diabetes type. One of the barriers to deploying genetic testing is uncertainty over whom to test as the clinical features for monogenic diabetes overlap with those for both type 1 and type 2 diabetes. In this review, we perform a systematic evaluation of the evidence for the clinical and biochemical criteria used to guide selection of individuals with diabetes for genetic testing and review the evidence for the optimal methods for variant detection in genes involved in monogenic diabetes. In parallel we revisit the current clinical guidelines for genetic testing for monogenic diabetes and provide expert opinion on the interpretation and reporting of genetic tests. We provide a series of recommendations for the field informed by our systematic review, synthesizing evidence, and expert opinion. Finally, we identify major challenges for the field and highlight areas for future research and investment to support wider implementation of precision diagnostics for monogenic diabetes.
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Affiliation(s)
- Rinki Murphy
- Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
- Auckland Diabetes Centre, Te Whatu Ora Health New Zealand, Te Tokai Tumai, Auckland, New Zealand
| | - Kevin Colclough
- Exeter Genomics Laboratory, Royal Devon University Healthcare NHS Foundation Trust, Exeter, United Kingdom
| | - Toni I Pollin
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Jennifer M Ikle
- Department of Pediatrics, Division of Endocrinology & Diabetes, Stanford School of Medicine, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford School of Medicine, Stanford, CA, USA
| | - Pernille Svalastoga
- Children and Youth Clinic, Haukeland University Hospital, Bergen, Norway
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Kristin A Maloney
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Cécile Saint-Martin
- Department of Medical Genetics, AP-HP Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France
| | - Janne Molnes
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Shivani Misra
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- Department of Diabetes and Endocrinology, Imperial College Healthcare NHS Trust, London, UK
| | - Ingvild Aukrust
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - aiElisa de Franco
- Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Sarah E Flanagan
- Department of Clinical and Biomedical Science, Faculty of Health and Life Sciences, University of Exeter, UK
| | - Pål R Njølstad
- Children and Youth Clinic, Haukeland University Hospital, Bergen, Norway
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Liana K Billings
- Division of Endocrinology, NorthShore University HealthSystem, Skokie, IL, USA; Department of Medicine, Pritzker School of Medicine, University of Chicago, Chicago, IL, USA
| | - Katharine R Owen
- Oxford Center for Diabetes, Endocrinology & Metabolism, University of Oxford, UK
- NIHR Oxford Biomedical Research Centre, Oxford, UK
| | - Anna L Gloyn
- Department of Pediatrics, Division of Endocrinology & Diabetes, Stanford School of Medicine, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford School of Medicine, Stanford, CA, USA
- Department of Genetics, Stanford School of Medicine, Stanford, CA, USA
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15
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The neuroprotective and antidiabetic effects of trigonelline: A review of signaling pathways and molecular mechanisms. Biochimie 2023; 206:93-104. [PMID: 36257493 DOI: 10.1016/j.biochi.2022.10.009] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 08/07/2022] [Accepted: 10/12/2022] [Indexed: 11/23/2022]
Abstract
The global epidemic of diabetes has brought heavy pressure on public health. New effective anti-diabetes strategies are urgently needed. Trigonelline is the main component of fenugreek, which has been proved to have a good therapeutic effect on diabetes and diabetic complications. Trigonelline achieves amelioration of diabetes, the mechanisms of which include the modulation of insulin secretion, a reduction in oxidative stress, and the improvement of glucose tolerance and insulin resistance. Besides, trigonelline has been reported to be a neuroprotective agent against many neurologic diseases including Alzheimer's disease, Parkinson's disease, stroke, and depression. Concerning the potential therapeutic effects of trigonelline, comprehensive clinical trials are warranted to evaluate this valuable molecule.
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16
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Cardoso JDS, Cardoso Teixeira F, De Mello JE, Soares De Aguiar MS, Souto Oliveira P, Torchelsen Saraiva J, Vizzotto M, Borelli Grecco F, Lencina CL, Spanevello RM, Tavares RG, Stefanello FM, Stefanello FM. Psidium cattleianum fruit extract prevents systemic alterations in an animal model of type 2 diabetes mellitus: comparison with metformin effects. Biomarkers 2023; 28:238-248. [PMID: 36576409 DOI: 10.1080/1354750x.2022.2163695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Objective: In this study, we aimed to determine the role of Psidium cattleianum extract (PCE) and compare its effects with those of metformin (Met) in an animal model with type 2 diabetes mellitus (T2DM).Methods: T2DM was induced in rats using a high-fat diet (HFD), followed by a single dose of streptozotocin (STZ). Met and PCE were administered intragastrically once a day throughout the experiment, and their effects on biochemical, inflammatory, oxidative, and histological parameters were evaluated.Results: Met and PCE prevented the increase in serum levels of glucose, total cholesterol (TC), triacylglycerol (TG), very low-density lipoprotein (VLDL) and interleukin-6 (IL-6) induced by T2DM, and restored redox homeostasis in the liver and brain. Met increased the serum levels of anti-inflammatory cytokine and interleukin-10 (IL-10). Furthermore, both treatments restored the liver and pancreas from marked cellular disorganisation, vacuolisation, and necrosis, with PCE being more effective than Met in recovering histological changes.Conclusion: PCE is a promising agent for the prevention of T2DM complications.
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Affiliation(s)
- Juliane De Souza Cardoso
- Laboratório de Biomarcadores, Centro de Ciências Químicas, Farmacêuticas e de Alimentos, Universidade Federal de Pelotas, Pelotas, Brazil
| | - Fernanda Cardoso Teixeira
- Laboratório de Neuroquímica, Inflamação e Câncer, Centro de Ciências Químicas, Farmacêuticas e de Alimentos, Universidade Federal de Pelotas, Pelotas, Brazil
| | - Julia Eisenhardt De Mello
- Laboratório de Neuroquímica, Inflamação e Câncer, Centro de Ciências Químicas, Farmacêuticas e de Alimentos, Universidade Federal de Pelotas, Pelotas, Brazil
| | - Mayara Sandrielly Soares De Aguiar
- Laboratório de Neuroquímica, Inflamação e Câncer, Centro de Ciências Químicas, Farmacêuticas e de Alimentos, Universidade Federal de Pelotas, Pelotas, Brazil
| | | | - Juliane Torchelsen Saraiva
- Laboratório de Biomarcadores, Centro de Ciências Químicas, Farmacêuticas e de Alimentos, Universidade Federal de Pelotas, Pelotas, Brazil
| | - Marcia Vizzotto
- Empresa Brasileira de Pesquisa Agropecuária, Centro de Pesquisa Agropecuária de Clima Temperado, Pelotas, Brazil
| | - Fabiane Borelli Grecco
- Laboratório de Patologia Animal, Programa de Pós-Graduação em Veterinária, Universidade Federal de Pelotas, Pelotas, Brazil
| | - Claiton Leoneti Lencina
- Laboratório de Biomarcadores, Centro de Ciências Químicas, Farmacêuticas e de Alimentos, Universidade Federal de Pelotas, Pelotas, Brazil
| | | | - Rejane Giacomelli Tavares
- Laboratório de Biomarcadores, Centro de Ciências Químicas, Farmacêuticas e de Alimentos, Universidade Federal de Pelotas, Pelotas, Brazil.,Centro de Investigação em Biociências e Tecnologias da Saúde (CBIOS), Universidade Lusófona de Humanidades e Tecnologias, Lisboa, Portugal
| | - Francieli Moro Stefanello
- Laboratório de Biomarcadores, Centro de Ciências Químicas, Farmacêuticas e de Alimentos, Universidade Federal de Pelotas, Pelotas, Brazil
| | - Francieli Moro Stefanello
- Laboratório de Biomarcadores, Centro de Ciências Químicas, Farmacêuticas e de Alimentos, Universidade Federal de Pelotas, Campus Universitário Capão do Leão s/n, Pelotas, RS, Brazil
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17
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Shields BM, Dennis JM, Angwin CD, Warren F, Henley WE, Farmer AJ, Sattar N, Holman RR, Jones AG, Pearson ER, Hattersley AT. Patient stratification for determining optimal second-line and third-line therapy for type 2 diabetes: the TriMaster study. Nat Med 2023; 29:376-383. [PMID: 36477733 PMCID: PMC7614216 DOI: 10.1038/s41591-022-02120-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 11/07/2022] [Indexed: 12/13/2022]
Abstract
Precision medicine aims to treat an individual based on their clinical characteristics. A differential drug response, critical to using these features for therapy selection, has never been examined directly in type 2 diabetes. In this study, we tested two hypotheses: (1) individuals with body mass index (BMI) > 30 kg/m2, compared to BMI ≤ 30 kg/m2, have greater glucose lowering with thiazolidinediones than with DPP4 inhibitors, and (2) individuals with estimated glomerular filtration rate (eGFR) 60-90 ml/min/1.73 m2, compared to eGFR >90 ml/min/1.73 m2, have greater glucose lowering with DPP4 inhibitors than with SGLT2 inhibitors. The primary endpoint for both hypotheses was the achieved HbA1c difference between strata for the two drugs. In total, 525 people with type 2 diabetes participated in this UK-based randomized, double-blind, three-way crossover trial of 16 weeks of treatment with each of sitagliptin 100 mg once daily, canagliflozin 100 mg once daily and pioglitazone 30 mg once daily added to metformin alone or metformin plus sulfonylurea. Overall, the achieved HbA1c was similar for the three drugs: pioglitazone 59.6 mmol/mol, sitagliptin 60.0 mmol/mol and canagliflozin 60.6 mmol/mol (P = 0.2). Participants with BMI > 30 kg/m2, compared to BMI ≤ 30 kg/m2, had a 2.88 mmol/mol (95% confidence interval (CI): 0.98, 4.79) lower HbA1c on pioglitazone than on sitagliptin (n = 356, P = 0.003). Participants with eGFR 60-90 ml/min/1.73 m2, compared to eGFR >90 ml/min/1.73 m2, had a 2.90 mmol/mol (95% CI: 1.19, 4.61) lower HbA1c on sitagliptin than on canagliflozin (n = 342, P = 0.001). There were 2,201 adverse events reported, and 447/525 (85%) randomized participants experienced an adverse event on at least one of the study drugs. In this precision medicine trial in type 2 diabetes, our findings support the use of simple, routinely available clinical measures to identify the drug class most likely to deliver the greatest glycemic reduction for a given patient. (ClinicalTrials.gov registration: NCT02653209 ; ISRCTN registration: 12039221 .).
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Affiliation(s)
- Beverley M Shields
- Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK
| | - John M Dennis
- Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK
| | - Catherine D Angwin
- Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK
| | - Fiona Warren
- Clinical Trials Unit, University of Exeter Medical School, Exeter, UK
- Institute of Health Research, University of Exeter Medical School, Exeter, UK
| | - William E Henley
- Institute of Health Research, University of Exeter Medical School, Exeter, UK
| | - Andrew J Farmer
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Naveed Sattar
- School of Cardiovascular & Metabolic Health, University of Glasgow, Glasgow, UK
| | - Rury R Holman
- Diabetes Trials Unit, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Angus G Jones
- Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK
| | - Ewan R Pearson
- Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Andrew T Hattersley
- Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK.
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18
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Gomułka K, Ruta M. The Role of Inflammation and Therapeutic Concepts in Diabetic Retinopathy-A Short Review. Int J Mol Sci 2023; 24:ijms24021024. [PMID: 36674535 PMCID: PMC9864095 DOI: 10.3390/ijms24021024] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 12/20/2022] [Accepted: 01/03/2023] [Indexed: 01/07/2023] Open
Abstract
Diabetic retinopathy (DR) as a microangiopathy is the most common complication in patients with diabetes mellitus (DM) and remains the leading cause of blindness among adult population. DM in its complicated pathomechanism relates to chronic hyperglycemia, hypoinsulinemia, dyslipidemia and hypertension-all these components in molecular pathways maintain oxidative stress, formation of advanced glycation end-products, microvascular changes, inflammation, and retinal neurodegeneration as one of the key players in diabetes-associated retinal perturbations. In this current review, we discuss the natural history of DR with special emphasis on ongoing inflammation and the key role of vascular endothelial growth factor (VEGF). Additionally, we provide an overview of the principles of diabetic retinopathy treatments, i.e., in laser therapy, anti-VEGF and steroid options.
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Affiliation(s)
- Krzysztof Gomułka
- Clinical Department of Internal Medicine, Pneumology and Allergology, Wroclaw Medical University, ul. M. Curie-Skłodowskiej 66, 50-369 Wrocław, Poland
- Correspondence:
| | - Michał Ruta
- Clinical Department of Ophthalmology, 4th Military Clinical Hospital with Polyclinic, ul. Rudolfa Weigla 5, 50-981 Wrocław, Poland
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Dai Z, Jing S, Liu X, Zhang H, Wu Y, Wang H, Xiao W, Huang Y, Fu J, Chen X, Gao L, Su X. Development and validation of the diabetic self-management scale based on information-motivation-behavioral skills theory. Front Public Health 2023; 11:1109158. [PMID: 36908406 PMCID: PMC9998917 DOI: 10.3389/fpubh.2023.1109158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Accepted: 02/07/2023] [Indexed: 03/14/2023] Open
Abstract
Background Self-management is important for the blood sugar control of middle-aged and elderly Type 2 diabetes mellitus (T2DM) patients, of which diet, exercise, and drug compliance are the most common components. The Information-Motivation-Behavioral Skills Model (IMB) has been widely used in health behavior management and intervention. Objective The purpose of this study is to develop and validate the Diabetic Self-Management Scale (DSMS) based on the IMB model. Methods Self-report survey data was collected from middle-aged and elderly T2DM patients in Zhongmu City, Henan Province, China in November 2021 using convenience sampling. The original DSMS was developed through a literature review and summary of previous similar scales using an inductive approach. Item modification was finished by a panel of specialists. Exploratory factor analysis and confirmatory factor analysis were used to evaluate the reliability, convergent validity, discriminant validity, and criterion validity of DSMS. Results Four hundred and sixty nine T2DM patients completed the questionnaire survey. The final DSMS consists of 22 items with three dimensions, including information (five items), motivation (eight items), and behavior skills (nine items). The results of simple factor analysis showed that the KMO value was 0.839, Bartlett spherical test 2 = 3254.872, P < 0.001. The results of confirmatory factor analysis showed that 2/df = 2.261, RMSEA = 0.073, CFI = 0.937, TLI = 0.930, and SRMR = 0.096. The standardized factor loadings of 22 DSMS items were all above 0.6, and the CR values of 3 dimensions were all higher than 0.9. In addition, DSMS also showed good discriminant and criterion validity. Conclusion The 22-item DSMS has good reliability and validity, and can be used to make diabetic self-management assessment regarding diet, physical activity, and medication among middle-aged and elderly Chinese T2DM patients. DSMS is of moderate length and easy to understand. It can be promoted in China in the future to understand the self-management status of middle-aged and elderly T2DM patients in China.
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Affiliation(s)
- Zhenwei Dai
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shu Jing
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaoyang Liu
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Haoran Zhang
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Yijin Wu
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hao Wang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Weijun Xiao
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yiman Huang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jiaqi Fu
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xu Chen
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lei Gao
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Xiaoyou Su
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Zeng Y, Wen S, Huan L, Xiong L, Zhong B, Wang P. Association of ApoE gene polymorphisms with serum lipid levels and the risk of type 2 diabetes mellitus in the Chinese Han population of central China. PeerJ 2023; 11:e15226. [PMID: 37123009 PMCID: PMC10135405 DOI: 10.7717/peerj.15226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Accepted: 03/23/2023] [Indexed: 05/02/2023] Open
Abstract
Background Apolipoprotein E (ApoE) is involved in lipid transformation and metabolism. Although some studies have examined the association between ApoE polymorphisms and the risk of type 2 diabetes mellitus (T2DM), the findings differ depending on the location and population. Methods A total of 1,738 participants, including 743 patients with T2DM and 995 controls without T2DM, were enrolled from central China, and ApoE polymorphisms, 388T > C (rs429358) and 526C > T (rs7412), were genotyped. The association between ApoE alleles and T2DM and blood lipid levels was analyzed. Logistic regression analysis was performed to evaluate the interactions between ApoE polymorphisms and various factors, such as age, sex, and prevalence of hypertension in patients with T2DM. Results The genotype ɛ3/ɛ4 and ɛ4 alleles of ApoE were associated with T2DM risk in the Chinese Han population in central China. Moreover, in patients with T2DM, participants in the E4 (ɛ3/ɛ4, ɛ4/ɛ4) group had significantly higher lipid profiles than those in the E3 (ɛ3/ɛ3) group, whereas participants in the E2 group (ɛ2/ɛ2, ɛ2/ɛ3) showed lower total cholesterol, low-density lipoprotein cholesterol, and ApoE-A1 levels than those in the E3 (ɛ3/ɛ3) group. The results from the current study may help in understanding ApoE polymorphisms and lipid profiles in the Chinese Han population.
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Affiliation(s)
- Yali Zeng
- Department of Clinical Laboratory, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shuang Wen
- Department of Clinical Laboratory, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lijun Huan
- Department of Clinical Laboratory, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Liang Xiong
- Department of Clinical Laboratory, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Botao Zhong
- Department of Clinical Laboratory, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Pengyun Wang
- Department of Clinical Laboratory, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Impact of Type 2 Diabetes Mellitus on the Prognosis of Non-Small Cell Lung Cancer. J Clin Med 2022; 12:jcm12010321. [PMID: 36615124 PMCID: PMC9821111 DOI: 10.3390/jcm12010321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 12/24/2022] [Accepted: 12/28/2022] [Indexed: 01/03/2023] Open
Abstract
OBJECTIVE Type 2 diabetes mellitus (T2DM) is the most common metabolic disease and is characterized by sustained hyperglycemia. The impact of T2DM on the survival of lung cancer patients remains controversial. The aim of this study was to investigate the associations of type 2 diabetes with lung cancer mortality. METHODS From January 2019 to January 2020, 228 patients with non-small cell lung cancer (NSCLC) staging earlier than IIIA were included. RESULTS In our study, we found that the overall survival (OS) and progression-free survival (PFS) of lung cancer patients with diabetes was longer than non-diabetes group. Diagnosed T2DM was associated with the prognosis of lung cancer after adjusting for age and covariates. The association between T2DM and OS was influenced by age, stage of cancer and cancer treatment, as well as whether taking metformin was associated with the OS of lung cancer. However, with the adjustment for age and covariates, the relation trended to lose statistical significance. CONCLUSION T2DM is an independent prognostic factor for patients with NSCLC staging before IIIA. The patients with both NSCLC and T2DM trended to having a longer OS, possibly due to metformin.
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Salvatore T, Galiero R, Caturano A, Rinaldi L, Criscuolo L, Di Martino A, Albanese G, Vetrano E, Catalini C, Sardu C, Docimo G, Marfella R, Sasso FC. Current Knowledge on the Pathophysiology of Lean/Normal-Weight Type 2 Diabetes. Int J Mol Sci 2022; 24:ijms24010658. [PMID: 36614099 PMCID: PMC9820420 DOI: 10.3390/ijms24010658] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 12/21/2022] [Accepted: 12/27/2022] [Indexed: 01/03/2023] Open
Abstract
Since early times, being overweight and obesity have been associated with impaired glucose metabolism and type 2 diabetes (T2D). Similarly, a less frequent adult-onset diabetes in low body mass index (BMI) people has been known for many decades. This form is mainly found in developing countries, whereby the largest increase in diabetes incidence is expected in coming years. The number of non-obese patients with T2D is also on the rise among non-white ethnic minorities living in high-income Western countries due to growing migratory flows. A great deal of energy has been spent on understanding the mechanisms that bind obesity to T2D. Conversely, the pathophysiologic features and factors driving the risk of T2D development in non-obese people are still much debated. To reduce the global burden of diabetes, we need to understand why not all obese people develop T2D and not all those with T2D are obese. Moreover, through both an effective prevention and the implementation of an individualized clinical management in all people with diabetes, it is hoped that this will help to reduce this global burden. The purpose of this review is to take stock of current knowledge about the pathophysiology of diabetes not associated to obesity and to highlight which aspects are worthy of future studies.
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Affiliation(s)
- Teresa Salvatore
- Department of Precision Medicine, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
| | - Raffaele Galiero
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
| | - Alfredo Caturano
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
| | - Luca Rinaldi
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
| | - Livio Criscuolo
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
| | - Anna Di Martino
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
| | - Gaetana Albanese
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
| | - Erica Vetrano
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
| | - Christian Catalini
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
| | - Celestino Sardu
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
| | - Giovanni Docimo
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
| | - Raffaele Marfella
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
- Mediterrannea Cardiocentro, I–80122 Napoli, Italy
| | - Ferdinando Carlo Sasso
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, I–80138 Naples, Italy
- Correspondence:
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Nakka S, Katari NK, Babu MSS, Muchakayala SK. An effective ultra‐performance liquid chromatography and derivatization method for the quantification of potential genotoxic impurity Hydrazine in Gliclazide and its formulation – Robustness study by the design of experiments. SEPARATION SCIENCE PLUS 2022. [DOI: 10.1002/sscp.202200147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Affiliation(s)
- Srinivas Nakka
- Department of Chemistry School of Science GITAM Deemed to be University Hyderabad India
| | - Naresh Kumar Katari
- Department of Chemistry School of Science GITAM Deemed to be University Hyderabad India
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Li J, Sun L. The effects of curcumin supplementation on high-sensitivity C-reactive protein, serum adiponectin, and lipid profile in patients with type 2 diabetes: A protocol for systematic review and meta-analysis. Medicine (Baltimore) 2022; 101:e31942. [PMID: 36626493 PMCID: PMC9750569 DOI: 10.1097/md.0000000000031942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) is an ensemble of metabolic diseases that has reached pandemic dimensions all over the world. There is a lack of evidence on the contribution of curcumin in the treatment of T2DM. We conducted a protocol for systematic review and meta-analysis to evaluate whether curcumin supplementation is effective and safe in T2DM patients. METHODS The systematic review will follow the guidelines of Preferred Reporting Items for Systematic Reviews and Meta-analyses Protocols (PRISMA-P). We will obtain studies through PubMed, Cochrane Library, Embase, Web of Science, and Medline databases. In addition, we will also collect 4 databases of China: China National Knowledge Infrastructure, China Biomedical Literature Database, China Science Journal Database, and Wan-fang Database. Eligible study conference abstracts and reference lists of manuscripts will be searched. The data collection and analysis will be conducted independently by 2 reviewers. Meta-analysis will be performed using Review Manager software, version 5.3 (Update Software Ltd, Oxford, Oxon, UK). RESULTS The results of this systematic review and meta-analysis will be published in a peer-reviewed journal. CONCLUSION The findings of this systematic review may encourage supplementation of curcumin and its preparation specifically in T2DM patients. Nevertheless, the application of curcumin supplementation in clinical practice should be taken with individual's contributing factors.
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Affiliation(s)
- Jie Li
- Department of Clinical Laboratory, First People’s Hospital of Tianshui, Gansu, China
| | - Lifang Sun
- Department of Blood Transfusion, First People’s Hospital of Tianshui, Gansu, China
- * Correspondence: Lifang Sun, Department of Blood Transfusion, First People’s Hospital of Tianshui, Gansu, China (e-mail: )
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Zhang Y, Xu G, Huang B, Chen D, Ye R. Astragaloside IV Regulates Insulin Resistance and Inflammatory Response of Adipocytes via Modulating CTRP3 and PI3K/AKT Signaling. Diabetes Ther 2022; 13:1823-1834. [PMID: 36103112 PMCID: PMC9663774 DOI: 10.1007/s13300-022-01312-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 08/03/2022] [Indexed: 11/29/2022] Open
Abstract
INTRODUCTION Emerging evidence showed that adipocytes are important regulators in controlling insulin resistance in type 2 diabetes mellitus (T2DM). So far, compounds isolated from natural plants have been widely studied for their roles in alleviating T2DM-associated complications. This work evaluated the actions of astragaloside IV (AS-IV) on insulin resistance and inflammatory biomarker expression in adipocytes and explored the potential mechanisms. METHODS Glucose consumption of the adipocytes was determined by a glucose assay kit; the mRNA expression levels of glucose transporter type 4 (GLUT-4), interleukin-6 (IL-6), TNF-α and C1q tumor necrosis factor-related protein 3 (CTRP3) were measured by quantitative real-time PCR (qRT-PCR); the protein levels were determined by western blot assay and enzyme-linked immunosorbent assay. RESULTS AS-IV concentration-dependently increased glucose consumption in the insulin resistance adipocytes. Further qRT-PCR results showed that AS-IV concentration-dependently reduced adipocyte IL-6 and TNF-α expression. Moreover, GLUT-4 expression in adipocytes was also significantly upregulated by AS-IV. Furthermore, we found that AS-IV concentration-dependently increased CTRP3 expression in adipocytes. CTRP3 silence decreased glucose consumption, upregulated IL-6 and TNF-α expression and downregulated GLUT-4 mRNA expression in 200 µM AS-IV-treated adipocytes. Moreover, AS-IV treatment enhanced the activity of phosphoinositide 3-kinase (PI3K)/AKT signaling in adipocytes, which was markedly attenuated by CTRP3 silencing. Importantly, inhibition of PI3K/AKT signaling also attenuated AS-IV induced an increase in glucose consumption and GLUT-4 expression and a decrease in IL-6 and TNF-α expression of adipocytes. CONCLUSIONS Collectively, our data indicated that AS-IV attenuated insulin resistance and inflammation in adipocytes via targeting CTRP3/PI3K/Akt signaling.
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Affiliation(s)
- Yue Zhang
- Department of Endocriology, Shenzhen Bao’an Traditional Chinese Medicine Hospital, the Affiliated Hospital of Guangzhou University of Chinese Medicine, Shenzhen, 518100 China
| | - Guangning Xu
- Department of Traditional Chinese Medicine, Shenzhen Shekou People’s Hospital, Shenzhen, China
| | - Baoyi Huang
- Department of Endocriology, Shenzhen Bao’an Traditional Chinese Medicine Hospital, the Affiliated Hospital of Guangzhou University of Chinese Medicine, Shenzhen, 518100 China
| | - Dongni Chen
- Department of Endocriology, Shenzhen Bao’an Traditional Chinese Medicine Hospital, the Affiliated Hospital of Guangzhou University of Chinese Medicine, Shenzhen, 518100 China
| | - Renqun Ye
- Department of Endocriology, Shenzhen Bao’an Traditional Chinese Medicine Hospital, the Affiliated Hospital of Guangzhou University of Chinese Medicine, Shenzhen, 518100 China
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Xu Y, Song D, Wang X. 3D Bioprinting for Pancreas Engineering/Manufacturing. Polymers (Basel) 2022; 14:polym14235143. [PMID: 36501537 PMCID: PMC9741443 DOI: 10.3390/polym14235143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 10/29/2022] [Accepted: 11/22/2022] [Indexed: 11/30/2022] Open
Abstract
Diabetes is the most common chronic disease in the world, and it brings a heavy burden to people's health. Against this background, diabetic research, including islet functionalization has become a hot topic in medical institutions all over the world. Especially with the rapid development of microencapsulation and three-dimensional (3D) bioprinting technologies, organ engineering and manufacturing have become the main trends for disease modeling and drug screening. Especially the advanced 3D models of pancreatic islets have shown better physiological functions than monolayer cultures, suggesting their potential in elucidating the behaviors of cells under different growth environments. This review mainly summarizes the latest progress of islet capsules and 3D printed pancreatic organs and introduces the activities of islet cells in the constructs with different encapsulation technologies and polymeric materials, as well as the vascularization and blood glucose control capabilities of these constructs after implantation. The challenges and perspectives of the pancreatic organ engineering/manufacturing technologies have also been demonstrated.
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Zaghlool SB, Halama A, Stephan N, Gudmundsdottir V, Gudnason V, Jennings LL, Thangam M, Ahlqvist E, Malik RA, Albagha OME, Abou-Samra AB, Suhre K. Metabolic and proteomic signatures of type 2 diabetes subtypes in an Arab population. Nat Commun 2022; 13:7121. [PMID: 36402758 PMCID: PMC9675829 DOI: 10.1038/s41467-022-34754-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 11/07/2022] [Indexed: 11/20/2022] Open
Abstract
Type 2 diabetes (T2D) has a heterogeneous etiology influencing its progression, treatment, and complications. A data driven cluster analysis in European individuals with T2D previously identified four subtypes: severe insulin deficient (SIDD), severe insulin resistant (SIRD), mild obesity-related (MOD), and mild age-related (MARD) diabetes. Here, the clustering approach was applied to individuals with T2D from the Qatar Biobank and validated in an independent set. Cluster-specific signatures of circulating metabolites and proteins were established, revealing subtype-specific molecular mechanisms, including activation of the complement system with features of autoimmune diabetes and reduced 1,5-anhydroglucitol in SIDD, impaired insulin signaling in SIRD, and elevated leptin and fatty acid binding protein levels in MOD. The MARD cluster was the healthiest with metabolomic and proteomic profiles most similar to the controls. We have translated the T2D subtypes to an Arab population and identified distinct molecular signatures to further our understanding of the etiology of these subtypes.
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Affiliation(s)
- Shaza B Zaghlool
- Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Anna Halama
- Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Nisha Stephan
- Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Valborg Gudmundsdottir
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
- Icelandic Heart Association, Kopavogur, Iceland
| | - Vilmundur Gudnason
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
- Icelandic Heart Association, Kopavogur, Iceland
| | - Lori L Jennings
- Novartis Institutes for Biomedical Research, Cambridge, MA, USA
| | | | - Emma Ahlqvist
- Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | | | - Omar M E Albagha
- College of Health and Life Sciences, Hamad Bin Khalifa University, Education City, Doha, Qatar
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | | | - Karsten Suhre
- Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Doha, Qatar.
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Herder C, Roden M. A novel diabetes typology: towards precision diabetology from pathogenesis to treatment. Diabetologia 2022; 65:1770-1781. [PMID: 34981134 PMCID: PMC9522691 DOI: 10.1007/s00125-021-05625-x] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 10/04/2021] [Indexed: 02/07/2023]
Abstract
The current classification of diabetes, based on hyperglycaemia, islet-directed antibodies and some insufficiently defined clinical features, does not reflect differences in aetiological mechanisms and in the clinical course of people with diabetes. This review discusses evidence from recent studies addressing the complexity of diabetes by proposing novel subgroups (subtypes) of diabetes. The most widely replicated and validated approach identified, in addition to severe autoimmune diabetes, four subgroups designated severe insulin-deficient diabetes, severe insulin-resistant diabetes, mild obesity-related diabetes and mild age-related diabetes subgroups. These subgroups display distinct patterns of clinical features, disease progression and onset of comorbidities and complications, with severe insulin-resistant diabetes showing the highest risk for cardiovascular, kidney and fatty liver diseases. While it has been suggested that people in these subgroups would benefit from stratified treatments, RCTs are required to assess the clinical utility of any reclassification effort. Several methodological and practical issues also need further study: the statistical approach used to define subgroups and derive recommendations for diabetes care; the stability of subgroups over time; the optimal dataset (e.g. phenotypic vs genotypic) for reclassification; the transethnic generalisability of findings; and the applicability in clinical routine care. Despite these open questions, the concept of a new classification of diabetes has already allowed researchers to gain more insight into the colourful picture of diabetes and has stimulated progress in this field so that precision diabetology may become reality in the future.
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Affiliation(s)
- Christian Herder
- Institute for Clinical Diabetology, German Diabetes Center (Deutsches Diabetes-Zentrum/DDZ), Leibniz Center for Diabetes Research at Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany.
- Department of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany.
- German Center for Diabetes Research (DZD), Partner Düsseldorf, München-Neuherberg, Germany.
| | - Michael Roden
- Institute for Clinical Diabetology, German Diabetes Center (Deutsches Diabetes-Zentrum/DDZ), Leibniz Center for Diabetes Research at Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany.
- Department of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany.
- German Center for Diabetes Research (DZD), Partner Düsseldorf, München-Neuherberg, Germany.
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Manzini E, Vlacho B, Franch-Nadal J, Escudero J, Génova A, Reixach E, Andrés E, Pizarro I, Portero JL, Mauricio D, Perera-Lluna A. Longitudinal deep learning clustering of Type 2 Diabetes Mellitus trajectories using routinely collected health records. J Biomed Inform 2022; 135:104218. [DOI: 10.1016/j.jbi.2022.104218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 09/08/2022] [Accepted: 10/03/2022] [Indexed: 10/31/2022]
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Wang S, Sun W, Zhou X. Bone Metabolism Discrepancy in Type 2 Diabetes Mellitus Patients With and Without Non-Alcoholic Fatty Liver Disease. J Clin Densitom 2022; 25:553-558. [PMID: 35918271 DOI: 10.1016/j.jocd.2022.07.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 07/13/2022] [Indexed: 11/19/2022]
Abstract
To explore the distribution of several bone metabolic indicators in type 2 diabetes patients (T2DM) with and without non-alcoholic fatty liver disease (NAFLD) and to preliminarily evaluate the relationship of bone metabolism with NAFLD in patients with T2DM. The hospitalized patients with T2DM were divided into the group of T2DM complicated with NAFLD and the group of T2DM alone according to the results of ultrasonic diagnosis. The general information and laboratory test data such as bone metabolism indexes of these patients were collected and the differences of the indexes between the 2 groups were compared. Furthermore, the independent influencing factors of NAFLD in patients with T2DM were analyzed. A total of 186 patients were included in the study. Compared with patients with T2DM only, patients with T2DM combined with NAFLD were characterized with younger age (p < 0.001), higher BMI (p = 0.016), ALT (p = 0.001), TG (p = 0.005), HOMA-IR (p = 0.005), and lower HDL-C (p = 0.031). Significant discrepancy of age (OR 1.052, p = 0.001), ALT (OR 0.964, p = 0.047), HOMA-IR (OR 0.801, p = 0.005), and T-PINP (OR 1.022, p = 0.008) was found using multivariate logistic regression model. Significant discrepancy of T-PINP was found in T2DM patients with and without NAFLD. Further studies are needed to explore whether T-PINP could be used as a predictor of fatty liver disease, osteoporosis, and other related complications in patients with T2DM.
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Affiliation(s)
- Sichao Wang
- Department of Infectious Diseases and Hepatology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China; Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Weixia Sun
- Department of Endocrinology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China; Shandong Clinical Medical Center of Endocrinology and Metabolism, Institute of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, China
| | - Xinli Zhou
- Department of Endocrinology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China; Shandong Clinical Medical Center of Endocrinology and Metabolism, Institute of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, China.
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Grieco GE, Besharat ZM, Licata G, Fignani D, Brusco N, Nigi L, Formichi C, Po A, Sabato C, Dardano A, Natali A, Dotta F, Sebastiani G, Ferretti E. Circulating microRNAs as clinically useful biomarkers for Type 2 Diabetes Mellitus: miRNomics from bench to bedside. Transl Res 2022; 247:137-157. [PMID: 35351622 DOI: 10.1016/j.trsl.2022.03.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 02/21/2022] [Accepted: 03/22/2022] [Indexed: 12/16/2022]
Abstract
Type 2 diabetes (T2D), a chronic metabolic disease, has attained the status of a global epidemic with steadily increasing incidence worldwide. Improved diagnosis, stratification and prognosis of T2D patients and the development of more effective treatments are needed. In this era of personalized medicine, the discovery and evaluation of innovative circulating biomarkers can be an effective tool for better stratification, prognosis and therapeutic selection/management of T2D patients. MicroRNAs (miRNAs), a class of small non-coding RNAs that modulate gene expression, have been investigated as potential circulating biomarkers in T2D. Several studies have investigated the expression of circulating miRNAs in T2D patients from various biological fluids, including plasma and serum, and have demonstrated their potential as diagnostic and prognostic biomarkers, as well as biomarkers of response to therapy. In this review, we provide an overview of the current state of knowledge, focusing on circulating miRNAs that have been consistently expressed in at least two independent studies, in order to identify a set of consistent biomarker candidates in T2D. The expression levels of miRNAs, correlation with clinical parameters, functional roles of miRNAs and their potential as biomarkers are reported. A systematic literature search and assessment of studies led to the selection and review of 10 miRNAs (miR-126-3p, miR-223-3p, miR-21-5p, miR-15a-5p, miR-24-3p, miR-34a-5p, miR-146a-5p, miR-148a-3p, miR-30d-5p and miR-30c-5p). We also present technical challenges and our thoughts on the potential validation of circulating miRNAs and their application as biomarkers in the context of T2D.
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Affiliation(s)
- Giuseppina Emanuela Grieco
- Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy; Fondazione Umberto Di Mario ONLUS c/o Toscana Life Science, 53100 Siena, Italy
| | | | - Giada Licata
- Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy; Fondazione Umberto Di Mario ONLUS c/o Toscana Life Science, 53100 Siena, Italy
| | - Daniela Fignani
- Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy; Fondazione Umberto Di Mario ONLUS c/o Toscana Life Science, 53100 Siena, Italy
| | - Noemi Brusco
- Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy; Fondazione Umberto Di Mario ONLUS c/o Toscana Life Science, 53100 Siena, Italy
| | - Laura Nigi
- Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy; Fondazione Umberto Di Mario ONLUS c/o Toscana Life Science, 53100 Siena, Italy
| | - Caterina Formichi
- Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy; Fondazione Umberto Di Mario ONLUS c/o Toscana Life Science, 53100 Siena, Italy
| | - Agnese Po
- Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | - Claudia Sabato
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
| | - Angela Dardano
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Andrea Natali
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Francesco Dotta
- Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy; Fondazione Umberto Di Mario ONLUS c/o Toscana Life Science, 53100 Siena, Italy; Tuscany Centre for Precision Medicine (CReMeP), Siena, Italy
| | - Guido Sebastiani
- Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy; Fondazione Umberto Di Mario ONLUS c/o Toscana Life Science, 53100 Siena, Italy.
| | - Elisabetta Ferretti
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy.
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Schrader S, Perfilyev A, Ahlqvist E, Groop L, Vaag A, Martinell M, García-Calzón S, Ling C. Novel Subgroups of Type 2 Diabetes Display Different Epigenetic Patterns That Associate With Future Diabetic Complications. Diabetes Care 2022; 45:1621-1630. [PMID: 35607770 PMCID: PMC9274219 DOI: 10.2337/dc21-2489] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 04/05/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Type 2 diabetes (T2D) was recently reclassified into severe insulin-deficient diabetes (SIDD), severe insulin-resistant diabetes (SIRD), mild obesity-related diabetes (MOD), and mild age-related diabetes (MARD), which have different risk of complications. We explored whether DNA methylation differs between these subgroups and whether subgroup-unique methylation risk scores (MRSs) predict diabetic complications. RESEARCH DESIGN AND METHODS Genome-wide DNA methylation was analyzed in blood from subjects with newly diagnosed T2D in discovery and replication cohorts. Subgroup-unique MRSs were built, including top subgroup-unique DNA methylation sites. Regression models examined whether MRSs associated with subgroups and future complications. RESULTS We found epigenetic differences between the T2D subgroups. Subgroup-unique MRSs were significantly different in those patients allocated to each respective subgroup compared with the combined group of all other subgroups. These associations were validated in an independent replication cohort, showing that subgroup-unique MRSs associate with individual subgroups (odds ratios 1.6-6.1 per 1-SD increase, P < 0.01). Subgroup-unique MRSs were also associated with future complications. Higher MOD-MRS was associated with lower risk of cardiovascular (hazard ratio [HR] 0.65, P = 0.001) and renal (HR 0.50, P < 0.001) disease, whereas higher SIRD-MRS and MARD-MRS were associated with an increased risk of these complications (HR 1.4-1.9 per 1-SD increase, P < 0.01). Of 95 methylation sites included in subgroup-unique MRSs, 39 were annotated to genes previously linked to diabetes-related traits, including TXNIP and ELOVL2. Methylation in the blood of 18 subgroup-unique sites mirrors epigenetic patterns in tissues relevant for T2D, muscle and adipose tissue. CONCLUSIONS We identified differential epigenetic patterns between T2D subgroups that associated with future diabetic complications. These data support a reclassification of diabetes and the need for precision medicine in T2D subgroups.
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Affiliation(s)
- Silja Schrader
- Epigenetics and Diabetes Unit, Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Scania University Hospital, Malmö, Sweden
| | - Alexander Perfilyev
- Epigenetics and Diabetes Unit, Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Scania University Hospital, Malmö, Sweden
| | - Emma Ahlqvist
- Genomics, Diabetes and Endocrinology Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Leif Groop
- Genomics, Diabetes and Endocrinology Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Allan Vaag
- Type 2 Diabetes Biology Research, Steno Diabetes Center, Copenhagen, Denmark
| | - Mats Martinell
- Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden.,Academic Primary Care Centre, Uppsala, Sweden
| | - Sonia García-Calzón
- Epigenetics and Diabetes Unit, Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Scania University Hospital, Malmö, Sweden.,Department of Food Science and Physiology, University of Navarra, Pamplona, Spain
| | - Charlotte Ling
- Epigenetics and Diabetes Unit, Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Scania University Hospital, Malmö, Sweden
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33
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Ke C, Narayan KMV, Chan JCN, Jha P, Shah BR. Pathophysiology, phenotypes and management of type 2 diabetes mellitus in Indian and Chinese populations. Nat Rev Endocrinol 2022; 18:413-432. [PMID: 35508700 PMCID: PMC9067000 DOI: 10.1038/s41574-022-00669-4] [Citation(s) in RCA: 71] [Impact Index Per Article: 35.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/24/2022] [Indexed: 02/08/2023]
Abstract
Nearly half of all adults with type 2 diabetes mellitus (T2DM) live in India and China. These populations have an underlying predisposition to deficient insulin secretion, which has a key role in the pathogenesis of T2DM. Indian and Chinese people might be more susceptible to hepatic or skeletal muscle insulin resistance, respectively, than other populations, resulting in specific forms of insulin deficiency. Cluster-based phenotypic analyses demonstrate a higher frequency of severe insulin-deficient diabetes mellitus and younger ages at diagnosis, lower β-cell function, lower insulin resistance and lower BMI among Indian and Chinese people compared with European people. Individuals diagnosed earliest in life have the most aggressive course of disease and the highest risk of complications. These characteristics might contribute to distinctive responses to glucose-lowering medications. Incretin-based agents are particularly effective for lowering glucose levels in these populations; they enhance incretin-augmented insulin secretion and suppress glucagon secretion. Sodium-glucose cotransporter 2 inhibitors might also lower blood levels of glucose especially effectively among Asian people, while α-glucosidase inhibitors are better tolerated in east Asian populations versus other populations. Further research is needed to better characterize and address the pathophysiology and phenotypes of T2DM in Indian and Chinese populations, and to further develop individualized treatment strategies.
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Affiliation(s)
- Calvin Ke
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
- Department of Medicine, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
- Centre for Global Health Research, Unity Health Toronto, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
- Asia Diabetes Foundation, Shatin, Hong Kong SAR, China.
| | - K M Venkat Narayan
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
- Nutrition and Health Sciences Program, Graduate Division of Biological and Biomedical Sciences, Laney Graduate School, Emory University, Atlanta, GA, USA
- Department of Medicine, School of Medicine, Emory University, Atlanta, GA, USA
| | - Juliana C N Chan
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
- Asia Diabetes Foundation, Shatin, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Prabhat Jha
- Centre for Global Health Research, Unity Health Toronto, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Baiju R Shah
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
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Rao PV, Bean E, Nair-Schaef D, Chen S, Kazmierczak SC, Roberts CT, Nagalla SR. Rapid Point-of-Care Test for Determination of C-Peptide Levels. J Diabetes Sci Technol 2022; 16:976-981. [PMID: 33729032 PMCID: PMC9264426 DOI: 10.1177/1932296821995557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
C-peptide is co-secreted with insulin and is not subject to hepatic clearance and thus reflects functional β-cell mass. Assessment of C-peptide levels can identify individuals at risk for or with type 1 diabetes with residual β-cell function in whom β cell-sparing interventions can be evaluated, and can aid in distinguishing type 2 diabetes from Latent Autoimmune Diabetes in Adults and late-onset type 1 diabetes. To facilitate C-peptide testing, we describe a quantitative point-of-care C-peptide test. C-peptide levels as low as 0.2 ng/ml were measurable in a fingerstick sample, and the test was accurate over a range of 0.17 to 12.0 ng/ml. This test exhibited a correlation of r = 0.98 with a high-sensitivity commercial ELISA assay and a correlation of r = 0.90 between matched serum and fingerstick samples.
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Affiliation(s)
| | - Eric Bean
- Diabetomics, Inc., Hillsboro, OR,
USA
| | | | - Siting Chen
- School of Public Health, Oregon Health
& Science University, Portland, OR, USA
| | | | | | - Srinivasa R. Nagalla
- Diabetomics, Inc., Hillsboro, OR,
USA
- Srinivasa R. Nagalla, MD, Diabetomics, Inc.,
2345 NE Overlook Dr., Hillsboro, OR 97006, USA.
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35
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Role of Sodium-Glucose Co-Transporter 2 Inhibitors in the Regulation of Inflammatory Processes in Animal Models. Int J Mol Sci 2022; 23:ijms23105634. [PMID: 35628443 PMCID: PMC9144929 DOI: 10.3390/ijms23105634] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 05/14/2022] [Accepted: 05/16/2022] [Indexed: 12/12/2022] Open
Abstract
Sodium-glucose co-transporter 2 inhibitors, also known as gliflozins, were developed as a novel class of anti-diabetic agents that promote glycosuria through the prevention of glucose reabsorption in the proximal tubule by sodium-glucose co-transporter 2. Beyond the regulation of glucose homeostasis, they resulted as being effective in different clinical trials in patients with heart failure, showing a strong cardio-renal protective effect in diabetic, but also in non-diabetic patients, which highlights the possible existence of other mechanisms through which gliflozins could be exerting their action. So far, different gliflozins have been approved for their therapeutic use in T2DM, heart failure, and diabetic kidney disease in different countries, all of them being diseases that have in common a deregulation of the inflammatory process associated with the pathology, which perpetuates and worsens the disease. This inflammatory deregulation has been observed in many other diseases, which led the scientific community to have a growing interest in the understanding of the biological processes that lead to or control inflammation deregulation in order to be able to identify potential therapeutic targets that could revert this situation and contribute to the amelioration of the disease. In this line, recent studies showed that gliflozins also act as an anti-inflammatory drug, and have been proposed as a useful strategy to treat other diseases linked to inflammation in addition to cardio-renal diseases, such as diabetes, obesity, atherosclerosis, or non-alcoholic fatty liver disease. In this work, we will review recent studies regarding the role of the main sodium-glucose co-transporter 2 inhibitors in the control of inflammation.
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36
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Lei X, Huo P, Xie Y, Wang Y, Liu G, Tu H, Shi Q, Mo Z, Zhang S. Dendrobium nobile Lindl polysaccharides improve testicular spermatogenic function in streptozotocin‐induced diabetic rats. Mol Reprod Dev 2022; 89:202-213. [DOI: 10.1002/mrd.23556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 11/27/2021] [Accepted: 12/01/2021] [Indexed: 11/06/2022]
Affiliation(s)
- Xiaocan Lei
- Department of Histology and Embryology, Clinical Anatomy & Reproductive Medicine Application Institute University of South China Hengyang China
| | - Peng Huo
- School of Public and Health Guilin Medical University Guilin China
| | - Yuan‐jie Xie
- Department of Histology and Embryology, Clinical Anatomy & Reproductive Medicine Application Institute University of South China Hengyang China
| | - Yaohui Wang
- School of Basic Medical Sciences Zunyi Medical University Zunyi China
| | - Guanghai Liu
- School of Basic Medical Sciences Zunyi Medical University Zunyi China
| | - Haoyan Tu
- Department of Reproductive Medical Center The Affiliated Hospital of Guilin Medical University Guilin China
| | - Qingxiang Shi
- School of Basic Medical Sciences Zunyi Medical University Zunyi China
| | - Zhong‐cheng Mo
- Department of Histology and Embryology, Clinical Anatomy & Reproductive Medicine Application Institute University of South China Hengyang China
| | - Shun Zhang
- Department of Reproductive Medical Center The Affiliated Hospital of Guilin Medical University Guilin China
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37
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Flannick J. Data-driven type 2 diabetes patient clusters predict metabolic surgery outcomes. Lancet Diabetes Endocrinol 2022; 10:150-151. [PMID: 35148817 PMCID: PMC9173087 DOI: 10.1016/s2213-8587(22)00034-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 01/17/2022] [Indexed: 10/19/2022]
Affiliation(s)
- Jason Flannick
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA; Department of Pediatrics, Harvard Medical School, Boston, MA, USA; Programs in Metabolism and Medical & Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA 02132, USA.
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38
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Le Collen L, Delemer B, Spodenkiewicz M, Cornillet Lefebvre P, Durand E, Vaillant E, Badreddine A, Derhourhi M, Mouhoub TA, Jouret G, Juttet P, Souchon PF, Vaxillaire M, Froguel P, Bonnefond A, Doco Fenzy M. Compound genetic etiology in a patient with a syndrome including diabetes, intellectual deficiency and distichiasis. Orphanet J Rare Dis 2022; 17:86. [PMID: 35227307 PMCID: PMC8887189 DOI: 10.1186/s13023-022-02248-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 02/13/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND We studied a young woman with atypical diabetes associated with mild intellectual disability, lymphedema distichiasis syndrome (LDS) and polymalformative syndrome including distichiasis. We used different genetic tools to identify causative pathogenic mutations and/or copy number variations. RESULTS Although proband's, diabetes mellitus occurred during childhood, type 1 diabetes was unlikely due to the absence of detectable autoimmunity. DNA microarray analysis first identified a de novo, heterozygous deletion at the chr16q24.2 locus. Previously, thirty-three pathogenic or likely pathogenic deletions encompassing this locus have been reported in patients presenting with intellectual deficiency, obesity and/or lymphedema but not with diabetes. Of note, the deletion encompassed two topological association domains, whose one included FOXC2 that is known to be linked with LDS. Via whole-exome sequencing, we found a heterozygous, likely pathogenic variant in WFS1 (encoding wolframin endoplasmic reticulum [ER] transmembrane glycoprotein) which was inherited from her father who also had diabetes. WFS1 is known to be involved in monogenic diabetes. We also found a likely pathogenic variant in USP9X (encoding ubiquitin specific peptidase 9 X-linked) that is involved in X-linked intellectual disability, which was inherited from her mother who had dyscalculia and dyspraxia. CONCLUSIONS Our comprehensive genetic analysis suggested that the peculiar phenotypes of our patient were possibly due to the combination of multiple genetic causes including chr16q24.2 deletion, and two likely pathogenic variants in WFS1 and USP9X.
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Affiliation(s)
- Lauriane Le Collen
- Department of Endocrinology Diabetology, University Hospital Center of Reims, Reims, France. .,Inserm/CNRS UMR 1283/8199, Pasteur Institute of Lille, EGID, Lille, France. .,University of Lille, Lille, France. .,Department of Genetic, University Hospital Center of Reims, Reims, France.
| | - Brigitte Delemer
- Department of Endocrinology Diabetology, University Hospital Center of Reims, Reims, France. .,Faculty of Medicine of Reims, CRESTIC EA 3804, University of Reims Champagne Ardenne, Moulin de La Housse, BP 1039, 51687, Reims Cedex 2, France.
| | | | | | - Emmanuelle Durand
- Inserm/CNRS UMR 1283/8199, Pasteur Institute of Lille, EGID, Lille, France.,University of Lille, Lille, France
| | - Emmanuel Vaillant
- Inserm/CNRS UMR 1283/8199, Pasteur Institute of Lille, EGID, Lille, France.,University of Lille, Lille, France
| | - Alaa Badreddine
- Inserm/CNRS UMR 1283/8199, Pasteur Institute of Lille, EGID, Lille, France.,University of Lille, Lille, France
| | - Mehdi Derhourhi
- Inserm/CNRS UMR 1283/8199, Pasteur Institute of Lille, EGID, Lille, France.,University of Lille, Lille, France
| | - Tarik Ait Mouhoub
- Department of Genetic, University Hospital Center of Reims, Reims, France
| | - Guillaume Jouret
- Department of Genetic, University Hospital Center of Reims, Reims, France.,Departement of Genetic, 1 rue Louis Rech Dudelange, 3555, Luxembourg, Luxembourg
| | | | | | - Martine Vaxillaire
- Inserm/CNRS UMR 1283/8199, Pasteur Institute of Lille, EGID, Lille, France.,University of Lille, Lille, France
| | - Philippe Froguel
- Inserm/CNRS UMR 1283/8199, Pasteur Institute of Lille, EGID, Lille, France. .,University of Lille, Lille, France.
| | - Amélie Bonnefond
- Inserm/CNRS UMR 1283/8199, Pasteur Institute of Lille, EGID, Lille, France. .,University of Lille, Lille, France.
| | - Martine Doco Fenzy
- Department of Genetic, University Hospital Center of Reims, Reims, France. .,Faculty of Medicine of Reims, EA 3801, URCA, Reims, France.
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Tian JL, Si X, Shu C, Wang YH, Tan H, Zang ZH, Zhang WJ, Xie X, Chen Y, Li B. Synergistic Effects of Combined Anthocyanin and Metformin Treatment for Hyperglycemia In Vitro and In Vivo. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2022; 70:1182-1195. [PMID: 35044756 DOI: 10.1021/acs.jafc.1c07799] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
The mechanism underlying the hypoglycemic effect of the simultaneous use of metformin and anthocyanin-rich foods is not yet clear. Hence, the effects and possible mechanisms of action of these substances, alone and in combination, were evaluated in insulin-resistant HepG2 cells and a diabetic mouse model. The results indicated that anthocyanin and metformin had a significant synergistic effect on glucose consumption (CI < 0.9) compared with metformin alone in HepG2 cells. In the mouse model, combined treatment (50 and 100 mg/kg metformin + anthocyanin groups) demonstrated synergistic restorative effects on the blood glucose level, insulin resistance, and organ damage in the liver, pancreas, and ileum. Additionally, combined metformin and anthocyanin treatment suppressed protein tyrosine phosphatase 1B expression and regulated the PI3K/AKT/GSK3β pathway. Combined treatment also altered the gut microbial composition and structure by increasing the relative abundance of beneficial bacteria and the short-chain fatty acid content. These results suggest that the use of anthocyanins can enhance the efficacy of metformin treatment for hyperglycemia and provide a reference for further clinical research regarding nutrition and supplementary treatment.
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Affiliation(s)
- Jin-Long Tian
- College of Food Science, Shenyang Agricultural University, Shenyang 110866, Liaoning, People's Republic of China
- Key Laboratory of Healthy Food Nutrition and Innovative Manufacturing of Liaoning Province, Shenyang Agricultural University, Shenyang 110866, Liaoning, People's Republic of China
| | - Xu Si
- College of Food Science, Shenyang Agricultural University, Shenyang 110866, Liaoning, People's Republic of China
- Key Laboratory of Healthy Food Nutrition and Innovative Manufacturing of Liaoning Province, Shenyang Agricultural University, Shenyang 110866, Liaoning, People's Republic of China
| | - Chi Shu
- College of Food Science, Shenyang Agricultural University, Shenyang 110866, Liaoning, People's Republic of China
- Key Laboratory of Healthy Food Nutrition and Innovative Manufacturing of Liaoning Province, Shenyang Agricultural University, Shenyang 110866, Liaoning, People's Republic of China
| | - Yue-Hua Wang
- College of Food Science, Shenyang Agricultural University, Shenyang 110866, Liaoning, People's Republic of China
- Key Laboratory of Healthy Food Nutrition and Innovative Manufacturing of Liaoning Province, Shenyang Agricultural University, Shenyang 110866, Liaoning, People's Republic of China
| | - Hui Tan
- College of Food Science, Shenyang Agricultural University, Shenyang 110866, Liaoning, People's Republic of China
- Key Laboratory of Healthy Food Nutrition and Innovative Manufacturing of Liaoning Province, Shenyang Agricultural University, Shenyang 110866, Liaoning, People's Republic of China
| | - Zhi-Huan Zang
- College of Food Science, Shenyang Agricultural University, Shenyang 110866, Liaoning, People's Republic of China
- Key Laboratory of Healthy Food Nutrition and Innovative Manufacturing of Liaoning Province, Shenyang Agricultural University, Shenyang 110866, Liaoning, People's Republic of China
| | - Wei-Jia Zhang
- College of Food Science, Shenyang Agricultural University, Shenyang 110866, Liaoning, People's Republic of China
- Key Laboratory of Healthy Food Nutrition and Innovative Manufacturing of Liaoning Province, Shenyang Agricultural University, Shenyang 110866, Liaoning, People's Republic of China
| | - Xu Xie
- College of Food Science, Shenyang Agricultural University, Shenyang 110866, Liaoning, People's Republic of China
- Key Laboratory of Healthy Food Nutrition and Innovative Manufacturing of Liaoning Province, Shenyang Agricultural University, Shenyang 110866, Liaoning, People's Republic of China
| | - Yi Chen
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, People's Republic of China
| | - Bin Li
- College of Food Science, Shenyang Agricultural University, Shenyang 110866, Liaoning, People's Republic of China
- Key Laboratory of Healthy Food Nutrition and Innovative Manufacturing of Liaoning Province, Shenyang Agricultural University, Shenyang 110866, Liaoning, People's Republic of China
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Aravindakshan MR, Maity SK, Paul A, Chakrabarti P, Mandal C, Sarkar J. Distinct pathoclinical clusters among patients with uncontrolled type 2 diabetes: results from a prospective study in rural India. BMJ Open Diabetes Res Care 2022; 10:10/1/e002654. [PMID: 35144941 PMCID: PMC8845217 DOI: 10.1136/bmjdrc-2021-002654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 01/15/2022] [Indexed: 11/30/2022] Open
Abstract
INTRODUCTION Inadequate glycemic control among patients with type 2 diabetes mellitus (T2DM) poses an enormous challenge. Whether this uncontrolled T2DM population is a heterogenous mix of disease subtypes remains unknown. Identification of these subtypes would result in a customized T2DM management protocol thereby paving the way toward personalized therapy. RESEARCH DESIGN AND METHODS Electronic health records of 339 patients with uncontrolled T2DM patients followed up for a median period of 14 months were analyzed using Uniform Manifold Approximation and Projection followed by density-based spatial clustering of applications with noise. Baseline clinical features and final diagnoses with drug combinations were selected in the analysis. A 30 min oral glucose tolerance test was next performed for assessing the underlying insulin resistance and β cell dysfunction. RESULTS Three major clusters were identified. The first cluster characterized by recent onset T2DM had moderately preserved β cell function. The second cluster with a longer duration of T2DM and associated hypertension showed the best glycemic control with dual antidiabetic therapy. The third cluster with the longest history of T2DM and no history of hypertension had the worst glycemic control in spite of the highest percentage of patients on triple therapy (34.58%) and quadruple therapy (8.41%). CONCLUSIONS Uncontrolled T2DM comprises a heterogeneous population with respect to disease duration, presence of co-morbidities and β cell function without significant difference in insulin resistance. Stratifying them on the basis of pathoclinical features is the first step toward a personalized management in T2DM.
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Affiliation(s)
| | - Sujay Krishna Maity
- Department of Cell Biology and Physiology, Indian Institute of Chemical Biology CSIR, Kolkata, West Bengal, India
| | - Avishek Paul
- Department of Cell Biology and Physiology, Indian Institute of Chemical Biology CSIR, Kolkata, West Bengal, India
| | - Partha Chakrabarti
- Department of Cell Biology and Physiology, Indian Institute of Chemical Biology CSIR, Kolkata, West Bengal, India
- Academy of Scientific and Innovative Research, Ghaziabad, Uttar Pradesh, India
| | - Chittaranjan Mandal
- Department of Computer Science & Engineering, Indian Institute of Technology Kharagpur, Kharagpur, India
| | - Jit Sarkar
- Department of Cell Biology and Physiology, Indian Institute of Chemical Biology CSIR, Kolkata, West Bengal, India
- Academy of Scientific and Innovative Research, Ghaziabad, Uttar Pradesh, India
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Lou W, Cheng Q, Liang Y, Xia D. Urinary N-Acetyl-β-d-Glucosaminidase (NAG) Levels and Risk of Cardiovascular Events in Diabetic Patients. Int J Gen Med 2022; 14:10495-10502. [PMID: 35002305 PMCID: PMC8722575 DOI: 10.2147/ijgm.s337874] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2021] [Accepted: 10/04/2021] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Cardiovascular diseases (CVDs) have a high incidence rate in population with diabetic patients. Studies on the association between urinary N-acetyl-β-d-glucosaminidase (NAG) levels, the biomarker of renal tubular damage, with cardiovascular (CV) events diabetic patients was still few. METHODS The relationship between urinary NAG levels and CV events was analyzed in a prospective cohort including 357 patients with type 2 diabetes mellitus at a follow-up of 5 years. RESULTS Twenty-six (7.3%) patients have CV events. Kaplan-Meier analysis suggested that diabetic patients with urine NAG levels ≥37.5 IU/L had a higher rate of CV events than those with urine NAG levels <37.5 IU/L (Log rank test, P = 0.021). Cox analysis revealed that elevated urine NAG levels significantly contributed to increased risk of CV events (HR = 1.43, 95% CI 1.23-1.93, P < 0.001) after adjusting for clinical confounding factors. Interestingly, we also found that "abnormal renal function" has an effect modification on the association between urine NAG levels and CV events. ROC-AUC analysis suggested that the urine NAG (AUC = 0.81, P < 0.001) had a better predictive value than eGFR (AUC = 0.74, P = 0.012). CONCLUSION Elevated urine NAG levels are associated with higher risk of CV events in patients with type 2 diabetes. These results might further suggested that urinary NAG is a value urinary biomarker for early detecting CV events among diabetic patients.
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Affiliation(s)
- Weiwei Lou
- Department of Rehabilitation, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, People's Republic of China
| | - Qun Cheng
- Department of Rehabilitation, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, People's Republic of China
| | - Yanqiu Liang
- Department of Rehabilitation, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, People's Republic of China
| | - Ding Xia
- Urology Surgery, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, 430030, People's Republic of China
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Song J, Li N, Hu R, Yu Y, Xu K, Ling H, Lu Q, Yang T, Wang T, Yin X. Effects of PPARD gene variants on the therapeutic responses to exenatide in chinese patients with type 2 diabetes mellitus. Front Endocrinol (Lausanne) 2022; 13:949990. [PMID: 36051387 PMCID: PMC9424689 DOI: 10.3389/fendo.2022.949990] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Accepted: 07/22/2022] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Exenatide is a GLP-1R agonist that often exhibits considerable interindividual variability in therapeutic efficacy. However, there is no evidence about the impact of genetic variants in the PPARD on the therapeutic efficacy of exenatide. This research was aimed to explore the influence of PPARD gene polymorphism on the therapeutic effect of exenatide, and to identify the potential mechanism futher. METHODS A total of 300 patients with T2DM and 200 control subjects were enrolled to identify PPARD rs2016520 and rs3777744 genotypes. A prospective clinical study was used to collect clinical indicators and peripheral blood of T2DM patients treated with exenatide monotherapy for 6 months. The SNaPshot method was used to identify PPARD rs2016520 and rs3777744 genotypes, and then we performed correlation analysis between PPARD gene variants and the efficacy of exenatide, and conducted multiple linear regression analysis of factors affecting the therapeutic effect of exenatide. HepG2 cells were incubated with exenatide in the absence or presence of a PPARδ agonist or the siPPARδ plasmid, after which the levels of GLP-1R and the ratio of glucose uptake were determined. RESULTS After 6 months exenatide monotherapy, we observed that homeostasis model assessment for insulin resistance (HOMA-IR) levels of the subjects with at least one C allele of the PPARD rs2016520 were significantly lower than those with the TT genotype, which suggested that the PPARD rs2016520 TT genotype conferred the poor exenatide response through a reduction of insulin resistance, as measured by HOMA-IR. The carriers of G alleles at rs3777744 exhibited higher levels of in waist to hip ratio (WHR), fasting plasma glucose (FPG), hemoglobin A1c (HbA1c) and HOMA-IR compared to individuals with the AA genotype following 6 months of exenatide treatment, potentially accounting for the lower failure rate of exenatide therapy among the AA homozygotes. In an insulin resistant HepG2 cell model, the PPARδ agonists enhanced exenatide efficacy on insulin resistance, with the expression of GLP-1R being up-regulated markedly. CONCLUSION These data suggest that the PPARD rs2016520 and rs3777744 polymorphisms are associated with exenatide monotherapy efficacy, due to the pivotal role of PPARδ in regulating insulin resistance through affecting the expression of GLP-1R. This study was registered in the Chinese Clinical Trial Register (No. ChiCTR-CCC13003536).
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Affiliation(s)
- Jinfang Song
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, Xuzhou, China
- Department of Pharmacy, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Na Li
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, Xuzhou, China
| | - Ruonan Hu
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, Xuzhou, China
| | - Yanan Yu
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, Xuzhou, China
| | - Ke Xu
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, Xuzhou, China
| | - Hongwei Ling
- Department of Endocrinology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Qian Lu
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, Xuzhou, China
| | - Tingting Yang
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, Xuzhou, China
| | - Tao Wang
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, Xuzhou, China
- Department of Pharmacy, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
- *Correspondence: Tao Wang, ; Xiaoxing Yin,
| | - Xiaoxing Yin
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, Xuzhou, China
- *Correspondence: Tao Wang, ; Xiaoxing Yin,
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Gao H, Wang K, Zhao W, Zhuang J, Jiang Y, Zhang L, Liu Q, Ahmadizar F. Cardiorenal Risk Profiles Among Data-Driven Type 2 Diabetes Sub-Phenotypes: A Post-Hoc Analysis of the China Health and Nutrition Survey. Front Endocrinol (Lausanne) 2022; 13:828403. [PMID: 35464070 PMCID: PMC9019482 DOI: 10.3389/fendo.2022.828403] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 03/04/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND AND AIM Evidence about recently proposed data-driven clusters of type 2 diabetes (T2D) is mainly about its prognostic effects and Western populations. We tested the applicability of this clustering approach among the Chinese population. We further investigated the cardiorenal risk profiles among different T2D sub-phenotypes cross-sectionally and before diabetes diagnosis. METHODS With the use of data from the China Health and Nutrition Survey (1989-2009), 6,728 participants with available fasting blood samples and completed questionnaires in the 2009 survey were included. Glycemic statuses (normoglycemia, prediabetes, and new-onset T2D) were defined according to the 2020 American Diabetes Association criteria. Data-driven cluster analysis was conducted among new-onset T2D based on five variables: age at onset, body mass index (BMI), hemoglobin A1c, homeostasis model estimates of β-cell function, and insulin resistance. Linear regression models were used to cross-sectionally examine the differences of cardiorenal risk factors (body fat distribution, blood pressure, lipid profiles, and kidney function) between glycemic statuses. Mixed-effects models were used to explore a maximum of 20-year trajectories of cardiovascular risk factors (body fat distribution and blood pressure) before diabetes diagnosis. RESULTS Among 557 (8.3%) new-onset T2D, four sub-phenotypes were found, with 57 (10.2%) assigned to the severe insulin-resistant diabetes (SIRD), 72 (12.9%) to the severe insulin-deficient diabetes (SIDD), 167 (30.0%) to the mild obesity-related diabetes (MOD), and 261 (46.9%) to the mild age-related diabetes (MARD). People clustered within different T2D sub-phenotypes had different cardiorenal risk profiles. Three T2D sub-phenotypes (SIRD, SIDD, and MOD) had worse cardiorenal abnormalities, while the risk burden in the MARD sub-phenotype was similar to that in prediabetes. Compared with people with other T2D sub-phenotypes, people in the MOD sub-phenotype had a faster increment in BMI, waist, upper arm circumference, and triceps skinfold up to 10 years before diagnosis. Blood pressure was less distinct in different T2D sub-phenotypes; however, SIDD and MOD clusters had higher blood pressure levels before diabetes diagnosis. CONCLUSIONS Data-driven T2D sub-phenotyping is applicable in the Chinese population. Certain sub-phenotypes such as MARD only have a minor cardiorenal risk burden, and distinct cardiovascular risk development occurs long before diabetes diagnosis. Our findings can help improve early prevention and targeted treatment for diabetes.
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Affiliation(s)
- Hui Gao
- Changning Center for Disease Control and Prevention, Shanghai, China
| | - Kan Wang
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands
| | - Wensui Zhao
- Changning Center for Disease Control and Prevention, Shanghai, China
| | - Jianlin Zhuang
- Changning Center for Disease Control and Prevention, Shanghai, China
| | - Yu Jiang
- Changning Center for Disease Control and Prevention, Shanghai, China
| | - Lei Zhang
- Changning Center for Disease Control and Prevention, Shanghai, China
| | - Qingping Liu
- PuDong New Area Center for Disease Control and Prevention, Shanghai, China
| | - Fariba Ahmadizar
- Julius Global Health, University Utrecht Medical Center, Utrecht, Netherlands
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Demirtürk N, Bilensoy E. Nanocarriers targeting the diseases of the pancreas. Eur J Pharm Biopharm 2022; 170:10-23. [PMID: 34852262 DOI: 10.1016/j.ejpb.2021.11.006] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Revised: 11/20/2021] [Accepted: 11/25/2021] [Indexed: 02/08/2023]
Abstract
Diseases of the pancreas include acute and chronic pancreatitis, exocrine pancreatic insufficiency, diabetes and pancreatic cancer. These pathologies can be difficult to treat due to the innate properties of the pancreas, its structure and localization. The need for effective targeting of the pancreatic tissue by means of nanoparticles delivering therapeutics is a major focus area covered and discussed in this review. Most common diseases of the pancreas do not have specific and direct medical treatment option, and existing treatment options are generally aimed at relieving symptoms. Diabetes has different treatment options for different subtypes based on insulin having stability problems and requiring injections reducing patient compliance. Pancreatic cancer progresses silently and can only be diagnosed in advanced stages. Therefore, survival rate of patients is very low. Gemcitabine and FOLFIRINOX treatment regimens, the most commonly used clinical standard treatments, are generally insufficient due to the chemoresistance that develops in cancer cells and also various side effects. Therefore new treatment options for pancreatic cancer are also under focus. Overcoming drug resistance and pancreatic targeting can be achieved with active and passive targeting methods, and a more effective and safer treatment regimen can be provided at lower drug doses. This review covers the current literature and clinical trials concerning pancreatic drug delivery systems in the nanoscale focusing on the challenges and opportunities provided by these smart delivery systems.
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Affiliation(s)
- Nurbanu Demirtürk
- Hacettepe University, Faculty of Pharmacy, Department of Pharmaceutical Technology, 06100 Ankara, Turkey
| | - Erem Bilensoy
- Hacettepe University, Faculty of Pharmacy, Department of Pharmaceutical Technology, 06100 Ankara, Turkey.
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Zhang J, Deng Y, Wan Y, Wang J, Xu J. Diabetes duration and types of diabetes treatment in data-driven clusters of patients with diabetes. Front Endocrinol (Lausanne) 2022; 13:994836. [PMID: 36457559 PMCID: PMC9705576 DOI: 10.3389/fendo.2022.994836] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 10/26/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND This study aimed to cluster patients with diabetes and explore the association between duration of diabetes and diabetes treatment choices in each cluster. METHODS A Two-Step cluster analysis was performed on 1332 Chinese patients with diabetes based on six parameters (glutamate decarboxylase antibodies, age at disease onset, body mass index, glycosylated hemoglobin, homeostatic model assessment 2 to estimate β-cell function and insulin resistance). Associations between the duration of diabetes and diabetes treatment choices in each cluster of patients were analyzed using Kaplan-Meier survival curves and logistic regression models. RESULTS The following five replicable clusters were identified: severe autoimmune diabetes (SAID), severe insulin-deficient diabetes (SIDD), severe insulin-resistant diabetes (SIRD), mild obesity-related diabetes (MOD), and mild age-related diabetes (MARD). There were significant differences in blood pressure, blood lipids, and diabetes-related complications among the clusters (all P < 0.05). Early in the course of disease (≤5 years), compared with the other subgroups, the SIRD, MOD, and MARD populations were more likely to receive non-insulin hypoglycemic agents for glycemic control. Among the non-insulin hypoglycemic drug options, SIRD had higher rates of receiving metformin, alpha-glucosidase inhibitor (AGI), and glucagon-like peptide-1 drug; the MOD and MARD groups both received metformin, AGI and sodium-glucose cotransporter 2 inhibitor (SGLT-2i) drug ratio was higher. While the SAID and SIDD groups were more inclined to receive insulin therapy than the other subgroups, with SAID being more pronounced. With prolonged disease course (>5 years), only the MOD group was able to accept non-insulin hypoglycemic drugs to control the blood sugar levels, and most of them are still treated with metformin, AGI, and SGLT-2i drugs. While the other four groups required insulin therapy, with SIDD being the most pronounced. CONCLUSIONS Clustering of patients with diabetes with a data-driven approach yields consistent results. Each diabetes cluster has significantly different disease characteristics and risk of diabetes complications. With the development of the disease course, each cluster receives different hypoglycemic treatments.
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Affiliation(s)
- Jie Zhang
- Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Yuanyuan Deng
- Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Yang Wan
- Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Jiao Wang
- Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
- Jiangxi Clinical Research Center for Endocrine and Metabolic Disease, Nanchang, Jiangxi, China
- Jiangxi Branch of National Clinical Research Center for Metabolic Disease, Nanchang, Jiangxi, China
| | - Jixiong Xu
- Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
- Jiangxi Clinical Research Center for Endocrine and Metabolic Disease, Nanchang, Jiangxi, China
- Jiangxi Branch of National Clinical Research Center for Metabolic Disease, Nanchang, Jiangxi, China
- *Correspondence: Jixiong Xu,
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Hodgson S, Cheema S, Rani Z, Olaniyan D, O'Leary E, Price H, Dambha-Miller H. Population stratification in type 2 diabetes mellitus: A systematic review. Diabet Med 2022; 39:e14688. [PMID: 34519086 DOI: 10.1111/dme.14688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 09/11/2021] [Indexed: 12/01/2022]
Abstract
AIMS There is increasing interest in using stratification in type 2 diabetes to target resources, individualise care and improve outcomes. We aim to systematically review and collate literature that has utilised population stratification methods in the study of adults with type 2 diabetes; and to describe and compare stratification methodologies, population characteristics, variables used to stratify and outcome variables. METHODS The MEDLINE, EMBASE, CINAHL and Cochrane databases were searched from inception to July 2020. Studies included adults with type 2 diabetes using population stratification methods. The review protocol was registered on PROSPERO (ID: CRD42020206604) and conducted in line with PRISMA guidance. Extracted data included study aims; study setting (primary or secondary care); population characteristics; stratification variables and outcomes; and methodological approach to stratification. RESULTS Across 348 included studies, there were a total of 10,776,009 participants with a mean age of 61.0 years (SD 5.94). 6.7% of studies used data-driven methods and the rest employed expert-driven approaches using pre-defined stratification criteria. The commonest variable used to stratify populations was HbA1c (n = 57, 16.4%); few studies stratified using clinically important non-traditional variables such as health behaviours and beliefs. CONCLUSIONS Most studies performing population stratification in type 2 diabetes used expert-driven approaches with the aim of predicting outcomes in glycaemic control, mortality and cardiovascular complications. We identified relatively few studies using data-driven approaches, which offer opportunities generate hypotheses beyond current expert knowledge. We describe important research gaps including stratification with regard to disease remission.
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Affiliation(s)
- Sam Hodgson
- NIHR Academic Clinical Fellow, Primary Care Research Centre, University of Southampton, Southampton, UK
| | | | - Zareena Rani
- Medical Student, University of Southampton, Southampton, UK
| | - Doyinsola Olaniyan
- General Medicine Department, Hinchingbrooke Hospital, North West Anglia NHS Trust, Huntingdon, UK
| | - Ellen O'Leary
- Medical Student, St. George's University of London, London, UK
| | - Hermione Price
- Honorary Senior Lecturer, Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Hajira Dambha-Miller
- NIHR Clinical Lecturer, Primary Care Research Centre, University of Southampton, Southampton, UK
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Savelieff MG, Noureldein MH, Feldman EL. Systems Biology to Address Unmet Medical Needs in Neurological Disorders. Methods Mol Biol 2022; 2486:247-276. [PMID: 35437727 PMCID: PMC9446424 DOI: 10.1007/978-1-0716-2265-0_13] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Neurological diseases are highly prevalent and constitute a significant cause of mortality and disability. Neurological disorders encompass a heterogeneous group of neurodegenerative conditions, broadly characterized by injury to the peripheral and/or central nervous system. Although the etiology of neurological diseases varies greatly, they share several characteristics, such as heterogeneity of clinical presentation, non-cell autonomous nature, and diversity of cellular, subcellular, and molecular pathways. Systems biology has emerged as a valuable platform for addressing the challenges of studying heterogeneous neurological diseases. Systems biology has manifold applications to address unmet medical needs for neurological illness, including integrating and correlating different large datasets covering the transcriptome, epigenome, proteome, and metabolome associated with a specific condition. This is particularly useful for disentangling the heterogeneity and complexity of neurological conditions. Hence, systems biology can help in uncovering pathophysiology to develop novel therapeutic targets and assessing the impact of known treatments on disease progression. Additionally, systems biology can identify early diagnostic biomarkers, to help diagnose neurological disease preceded by a long subclinical phase, as well as define the exposome, the collection of environmental toxicants that increase risk of certain neurological diseases. In addition to these current applications, there are numerous potential emergent uses, such as precision medicine.
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Affiliation(s)
- Masha G Savelieff
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI, USA
| | - Mohamed H Noureldein
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI, USA
- Department of Neurology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Eva L Feldman
- NeuroNetwork for Emerging Therapies, University of Michigan, Ann Arbor, MI, USA.
- Department of Neurology, University of Michigan Medical School, Ann Arbor, MI, USA.
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Zhang Y, Zhang Z, Li C, Tang D, Dai Y. Metabolomics Study Reveals the Alteration of Fatty Acid Oxidation in the Heart of Diabetic Mice by Empagliflozin. Mol Omics 2022; 18:643-651. [PMID: 35587588 DOI: 10.1039/d2mo00036a] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Empagliflozin (Empa, SGLT2 inhibitor), is widely used in clinical situation for the management of diabetes. It has beneficial effects in reducing cardiac dysfunction and heart failure. However, rare studies had...
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Affiliation(s)
- Yingwei Zhang
- Department of Neurology, Shenzhen Longhua District Central Hospital, Shenzhen 518000, China.
| | - Zeyu Zhang
- The Clinical Medical Research Center, Guangdong Provincial Engineering Research Center of Autoimmune Disease Precision Medicine, Shenzhen Engineering Research Center of Autoimmune Disease, The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen 518020, China.
| | - Chundi Li
- Department of Neurology, Shenzhen Longhua District Central Hospital, Shenzhen 518000, China.
| | - Donge Tang
- The Clinical Medical Research Center, Guangdong Provincial Engineering Research Center of Autoimmune Disease Precision Medicine, Shenzhen Engineering Research Center of Autoimmune Disease, The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen 518020, China.
| | - Yong Dai
- The Clinical Medical Research Center, Guangdong Provincial Engineering Research Center of Autoimmune Disease Precision Medicine, Shenzhen Engineering Research Center of Autoimmune Disease, The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen 518020, China.
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Walker JT, Saunders DC, Brissova M, Powers AC. The Human Islet: Mini-Organ With Mega-Impact. Endocr Rev 2021; 42:605-657. [PMID: 33844836 PMCID: PMC8476939 DOI: 10.1210/endrev/bnab010] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Indexed: 02/08/2023]
Abstract
This review focuses on the human pancreatic islet-including its structure, cell composition, development, function, and dysfunction. After providing a historical timeline of key discoveries about human islets over the past century, we describe new research approaches and technologies that are being used to study human islets and how these are providing insight into human islet physiology and pathophysiology. We also describe changes or adaptations in human islets in response to physiologic challenges such as pregnancy, aging, and insulin resistance and discuss islet changes in human diabetes of many forms. We outline current and future interventions being developed to protect, restore, or replace human islets. The review also highlights unresolved questions about human islets and proposes areas where additional research on human islets is needed.
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Affiliation(s)
- John T Walker
- Department of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Diane C Saunders
- Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Marcela Brissova
- Department of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Alvin C Powers
- Department of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.,Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.,VA Tennessee Valley Healthcare System, Nashville, Tennessee, USA
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Naithani N, Atal AT, Tilak T, Vasudevan B, Misra P, Sinha S. Precision medicine: Uses and challenges. Med J Armed Forces India 2021; 77:258-265. [PMID: 34305277 PMCID: PMC8282516 DOI: 10.1016/j.mjafi.2021.06.020] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
Abstract
Precision medicine has brought in many changes to the practise of medicine. The omics-based development of biomarkers and pharmaco-omics-based drug development programmes are evidences for the advancement. However, the field where it has proved to be most useful is in the development of various modalities of treatment in oncology. Various drugs targeting vascular endothelial growth factor, epidermal growth factor, tyrosine kinase receptor and rat sarcoma mutations have come to the forefront proving to be beneficial in many cancers. Some of the classic drugs developed using this concept include trastuzumab, bevacizumab, cetuximab and panitumumab among others. Precision medicine has been put to best use in the COVID-19 pandemic through use of various biomarkers such as IL-6 and c-reactive protein in assessing severity of disease, for development of various therapies and also to judge efficacy of vaccines. Precision medicine is also finding its place in management of infectious diseases, chronic diseases such as asthma, connective tissue diseases, cardiovascular diseases, diabetes and obesity. India has also made its presence felt in the field by launching various initiatives such as the Indian genome project and Indian cancer genome atlas. Numerous challenges still exist to the future of precision medicine such as cost involved, ethics, security of the Big data, merger of various platforms to integrate data and also availability of trained manpower to manage the data and algorithms. This new age medicine is a big step forward for mankind and hopefully it will bring more benefits for both patients and the caregivers in the near future.
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Affiliation(s)
- Nardeep Naithani
- Director & Commandant, Armed Forces Medical College, Pune, India
| | - Amar Tej Atal
- Associate Professor & Rheumatologist, Department of Internal Medicine, Armed Forces Medical College, Pune, India
| | - T.V.S.V.G.K. Tilak
- Professor & Medical Oncologist, Department of Internal Medicine, Armed Forces Medical College, Pune, India
| | - Biju Vasudevan
- Professor & Head, Department of Dermatology, Armed Forces Medical College, Pune, India
| | - Pratibha Misra
- Professor & Head, Department of Biochemistry, Armed Forces Medical College, Pune, India
| | - Sharmila Sinha
- Professor & Head, Department of Pharmacology, Armed Forces Medical College, Pune, India
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