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Cheryl M Isherwood Section of Chronobiology, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom

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M Denise Robertson Section of Metabolic Medicine, Food and Macronutrients, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom

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Debra J Skene Section of Chronobiology, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom

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Jonathan D Johnston Section of Chronobiology, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom

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Obesity is a major cause of type 2 diabetes. Transition from obesity to type 2 diabetes manifests in the dysregulation of hormones controlling glucose homeostasis and inflammation. As metabolism is a dynamic process that changes across 24 h, we assessed diurnal rhythmicity in a panel of 10 diabetes-related hormones. Plasma hormones were analysed every 2 h over 24 h in a controlled laboratory study with hourly isocaloric drinks during wake. To separate effects of body mass from type 2 diabetes, we recruited three groups of middle-aged men: an overweight (OW) group with type 2 diabetes and two control groups (lean and OW). Average daily concentrations of glucose, triacylglycerol and all the hormones except visfatin were significantly higher in the OW group compared to the lean group (P < 0.001). In type 2 diabetes, glucose, insulin, C-peptide, glucose-dependent insulinotropic peptide and glucagon-like peptide-1 increased further (P < 0.05), whereas triacylglycerol, ghrelin and plasminogen activator inhibitor-1 concentrations were significantly lower compared to the OW group (P < 0.001). Insulin, C-peptide, glucose-dependent insulinotropic peptide and leptin exhibited significant diurnal rhythms in all study groups (P < 0.05). Other hormones were only rhythmic in 1 or 2 groups. In every group, hormones associated with glucose regulation (insulin, C-peptide, glucose-dependent insulinotropic peptide, ghrelin and plasminogen activator inhibitor-1), triacylglycerol and glucose peaked in the afternoon, whereas glucagon and hormones associated with appetite and inflammation peaked at night. Thus being OW with or without type 2 diabetes significantly affected hormone concentrations but did not affect the timing of the hormonal rhythms.

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Huiyuan Zhai Department of Pharmacy, Nanjing Integrated Traditional Chinese and Western Medicine Hospital, Affiliated with Nanjing University of Chinese Medicine, Nanjing, China

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Dongxu Wang Department of Geriatrics, Nanjing Integrated Traditional Chinese and Western Medicine Hospital, Affiliated with Nanjing University of Chinese Medicine, Nanjing, China

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Yong Wang Department of Pharmacy, Nanjing Integrated Traditional Chinese and Western Medicine Hospital, Affiliated with Nanjing University of Chinese Medicine, Nanjing, China

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Hongwei Gu Central Laboratory, Nanjing Integrated Traditional Chinese and Western Medicine Hospital, Affiliated with Nanjing University of Chinese Medicine, Nanjing, China

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Juan Jv Department of Cardiology, Nanjing Integrated Traditional Chinese and Western Medicine Hospital, Affiliated with Nanjing University of Chinese Medicine, Nanjing, China

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Liangliang Yuan Department of Pharmacy, Nanjing Integrated Traditional Chinese and Western Medicine Hospital, Affiliated with Nanjing University of Chinese Medicine, Nanjing, China

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Chao Wang Department of Pharmacy, Nanjing Integrated Traditional Chinese and Western Medicine Hospital, Affiliated with Nanjing University of Chinese Medicine, Nanjing, China

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Leiyao Chen Department of Pharmacy, Nanjing Integrated Traditional Chinese and Western Medicine Hospital, Affiliated with Nanjing University of Chinese Medicine, Nanjing, China

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Chronic inflammation induced by obesity plays a crucial role in the pathogenesis of insulin resistance. The infiltration of macrophages into adipose tissues contributes to adipose tissue inflammation and insulin resistance. Kaempferol, a flavonoid present in various vegetables and fruits, has been shown to possess remarkable anti-inflammatory properties. In this study, we used leptin receptor-deficient obese mice (db/db) as an insulin-resistant model and investigated the effects of kaempferol treatment on obesity-induced insulin resistance. Our findings revealed that the administration of kaempferol (50 mg/kg/day, for 6 weeks) significantly reduced body weight, fat mass, and adipocyte size. Moreover, it effectively ameliorated abnormal glucose tolerance and insulin resistance in db/db mice. In the adipose tissue of obese mice treated with kaempferol, we observed a reduction in macrophage infiltration and a downregulation of mRNA expression of M1 marker genes TNF-α and IL-1β, accompanied by an upregulation of Arg1 and IL-10 mRNA expression. Additionally, kaempferol treatment significantly inhibited the STING/NLRP3 signaling pathway in adipose tissue. In vitro experiments, we further discovered that kaempferol treatment suppressed LPS-induced inflammation through the activation of NLRP3/caspase 1 signaling in RAW 264.7 macrophages. Our results suggest that kaempferol may effectively alleviate inflammation and insulin resistance in the adipose tissue of db/db mice by modulating the STING/NLRP3 signaling pathway.

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Shaomin Shi Division of Nephrology, The First Affiliated Hospital of Yangtze University, Jingzhou, China

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Xinghua Chen Division of Nephrology, Renmin Hospital of Wuhan University, Wuhan, China

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Wen Yu Department of Immunology, School of Medicine, Yangtze University, Jingzhou, China

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Xiaolan Ke Division of Nephrology, The First Affiliated Hospital of Yangtze University, Jingzhou, China

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Tean Ma Division of Nephrology, The First Affiliated Hospital of Yangtze University, Jingzhou, China

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Protection of podocytes is one of the important means to delay the progression of diabetic nephropathy (DN), and glucagon-like peptide-1 (GLP-1) has been shown to have a protective effect on the kidney in DN models, but whether it has a protective effect on podocytes and the potential mechanisms of action remain largely unknown. In the present study, we established a type 2 diabetes mellitus (T2DM) mouse model by high-fat diet feeding combined with streptozotocin (STZ) induction and administered the intervention for 14 weeks. We found that liraglutide significantly ameliorated podocyte injury in DN mice. Mechanistically, we detected glucagon-like peptide-1 receptor (GLP-1R) protein expression levels in kidney tissues by immunohistochemical staining, immunofluorescence staining, and western blotting and found that podocytes could express GLP-1R and liraglutide treatment could restore GLP-1R expression in the kidney tissues of DN mice. Furthermore, we found that NLRP3-induced inflammation and pyroptosis were positively correlated with podocyte injury in DN mice, and liraglutide inhibited the expression of NLRP3-induced inflammation and pyroptosis-related proteins. Our results suggest that liraglutide protects DN mouse podocytes by regulating GLP-1R in renal tissues and by regulating NLRP3-induced inflammation and pyroptosis.

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Sarantis Livadas Endocrine Unit, Athens Medical Centre, Athens, Greece

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Christina Bothou Department of Endocrinology, Diabetology and Clinical Nutrition, University Hospital of Zurich, Zurich, Switzerland

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Justyna Kuliczkowska-Płaksej Department of Endocrinology, Diabetology and Isotope Therapy, University of Medicine, Wrocław, Poland

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Ralitsa Robeva Ushate ‘acad. IV. Penchev’, Department of Endocrinology, Faculty of Medicine, Medical University-Sofia, Sofia, Bulgaria

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Andromahi Vryonidou Department of Endocrinology and Diabetes, Hellenic Red Cross Hospital, Athens, Greece

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Jelica Bjekic Macut Department of Endocrinology, UMC Bežanijska Kosa, Faculty of Medicine, University of Belgrade, Belgrade, Serbia

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Ioannis Androulakis Endocrine Unit, Athens Medical Centre, Athens, Greece

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Milica Opalic Clinic of Endocrinology, Diabetes and Metabolic Diseases, Faculty of Medicine, University of Belgrade, Belgrade, Serbia

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Zadalla Mouslech 1st Medical Propedeutic, Department of Internal Medicine, AHEPA University Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece

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Andrej Milewicz Department of Endocrinology, Diabetology and Isotope Therapy, University of Medicine, Wrocław, Poland

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Alessandra Gambineri Department of Medical and Surgical Science-DIMEC Endocrinology Unit, University of Bologna – S. Orsola-Mapighi Hospital, Italy

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Dimitrios Panidis Gynaecological Endocrinology Infirmary of the Second Department of Obstetrics and Gynaecology, Aristotle University of Thessaloniki, Thessaloniki, Greece

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Djuro Macut Clinic of Endocrinology, Diabetes and Metabolic Diseases, Faculty of Medicine, University of Belgrade, Belgrade, Serbia

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Background

Polycystic ovary syndrome (PCOS) is considered a risk factor for the development of type 2 diabetes mellitus (T2DM). However, which is the most appropriate way to evaluate dysglycemia in women with PCOS and who are at increased risk are as yet unclear.

Aim of the study

To determine the prevalence of T2DM, impaired glucose tolerance (IGT), and impaired fasting glucose (IFG) in PCOS women and potential factors to identify those at risk.

Subjects and methods

The oral glucose tolerance test (OGTT), biochemical/hormonal profile, and ovarian ultrasound data from 1614 Caucasian women with PCOS and 362 controls were analyzed in this cross-sectional multicenter study. The data were categorized according to age and BMI.

Results

Dysglycemia (T2DM, IGT, and IFG according to World Health Organization criteria) was more frequent in the PCOS group compared to controls: 2.2% vs 0.8%, P = 0.04; 9.5% vs 7.4%, P = 0.038; 14.2% vs 9.1%, P = 0.002, respectively. OGTT was essential for T2DM diagnosis, since in 88% of them basal glucose values were inconclusive for diagnosis. The presence of either T2DM or IFG was irrespective of age (P = 0.54) and BMI (P = 0.32), although the latter was associated with IGT (P = 0.021). There was no impact of age and BMI status on the prevalence of T2DM or IFG. Regression analysis revealed a role for age, BMI, fat deposition, androgens, and insulin resistance for dysglycemia. However, none of the factors prevailed as a useful marker employed in clinical practice.

Conclusions

One-third of our cohort of PCOS women with either T2DM or IGT displayed normal fasting glucose values but without confirming any specific predictor for dysglycemic condition. Hence, the evaluation of glycemic status using OGTT in all women with PCOS is strongly supported.

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Marie Auzanneau Institute of Epidemiology and Medical Biometry, ZIBMT, Medical Faculty of Ulm University, Ulm, Germany
German Center for Diabetes Research (DZD), Neuherberg, Germany

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Alexander J Eckert Institute of Epidemiology and Medical Biometry, ZIBMT, Medical Faculty of Ulm University, Ulm, Germany
German Center for Diabetes Research (DZD), Neuherberg, Germany

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Andreas Fritsche German Center for Diabetes Research (DZD), Neuherberg, Germany
Department of Internal Medicine IV, University Hospital Tübingen, Germany
Institute of Diabetes Research and Metabolic Diseases (IDM) of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany

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Martin Heni Institute of Diabetes Research and Metabolic Diseases (IDM) of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany
Division of Endocrinology and Diabetology, Department of Internal Medicine 1, University Hospital Ulm, Ulm, Germany
Institute for Clinical Chemistry and Pathobiochemistry, Department for Diagnostic Laboratory Medicine, University Hospital Tübingen, Tübingen, Germany

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Andrea Icks German Center for Diabetes Research (DZD), Neuherberg, Germany
Institute of Health Services Research and Health Economics, Center for Health and Society, Faculty of Medicine, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
Institute of Health Services Research and Health Economics, German Diabetes Center (DDZ), Leibniz Centre for Diabetes Research at Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany

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Annabel S Mueller-Stierlin Department of General Practice and Primary Care, University Hospital Ulm, Um, Germany
Department of Psychiatry and Psychotherapy II, University Hospital Ulm, Um, Germany

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Ana Dugic Department of Gastroenterology, Klinikum Bayreuth, Medizincampus Oberfranken der Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Bayreuth, Germany

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Alexander Risse Diabetes Center at Sophie-Charlotte-Platz, Diabetes Foot Unit, Berlin, Germany

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Stefanie Lanzinger Institute of Epidemiology and Medical Biometry, ZIBMT, Medical Faculty of Ulm University, Ulm, Germany
German Center for Diabetes Research (DZD), Neuherberg, Germany

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Reinhard W Holl Institute of Epidemiology and Medical Biometry, ZIBMT, Medical Faculty of Ulm University, Ulm, Germany
German Center for Diabetes Research (DZD), Neuherberg, Germany

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Objective

To analyze the proportion of diabetes among all hospitalized cases in Germany between 2015 and 2020.

Methods

Using the nationwide Diagnosis-Related-Groups statistics, we identified among all inpatient cases aged ≥ 20 years all types of diabetes in the main or secondary diagnoses based on ICD-10 codes, as well all COVID-19 diagnoses for 2020.

Results

From 2015 to 2019, the proportion of cases with diabetes among all hospitalizations increased from 18.3% (3.01 of 16.45 million) to 18.5% (3.07 of 16.64 million). Although the total number of hospitalizations decreased in 2020, the proportion of cases with diabetes increased to 18.8% (2.73 of 14.50 million). The proportion of COVID-19 diagnosis was higher in cases with diabetes than in those without in all sex and age subgroups. The relative risk (RR) for a COVID-19 diagnosis in cases with vs without diabetes was highest in age group 40–49 years (RR in females: 1.51; in males: 1.41).

Conclusions

The prevalence of diabetes in the hospital is twice as high as the prevalence in the general population and has increased further with the COVID-19 pandemic, underscoring the increased morbidity in this high-risk patient group. This study provides essential information that should help to better estimate the need for diabetological expertise in inpatient care settings.

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Zhaoxiang Liu Department of Endocrinology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China

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Mingqiang Zhang Department of Respiratory and Critical Care Medicine, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China

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Xiaohu Shi Department of Traditional Chinese Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China

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Wenhui Zhao Department of Endocrinology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China

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Chenxiang Cao Department of Endocrinology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China

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Lixia Jin Department of Endocrinology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China

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Yanlei Wang Department of Endocrinology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China

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Jianzhong Xiao Department of Endocrinology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China

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Objectives

The activation of immune cells plays a significant role in the progression of type 2 diabetes. This study aimed to investigate the potential role of myeloid-derived suppressor cells (MDSCs) and T-regulatory cells (Tregs) in type 2 diabetes.

Methods

A total of 61 patients diagnosed with type 2 diabetes were recruited. Clinical characteristics were reviewed and peripheral blood samples were collected. We calculated the percentage of different cells. Frequencies of MDSC subsets refered to the percentage of G-MDSCs (CD15+CD33+CD11b+CD14-HLA-DR-/low) in CD45 positive cells and the percentage of M-MDSCs (CD14+CD15-CD11b+CD33+HLA-DR-/low) in lymphocytes plus monocytes.

Results

Frequencies of programmed cell death ligand 1-positive granulocytic MDSCs (PD-L1+ G-MDSCs), programmed cell death ligand 2-positive monocytic MDSCs (PD-L2+ M-MDSCs), PD-L2+ G-MDSC, and programmed cell death protein 1-positive Tregs (PD-1+Tregs) were decreased in patients with type 2 diabetes. The frequency of PD-1+ Tregs was positively related to PD-L2+ M-MDSCs (r= 0.357, P = 0.009) and negatively related to HbA1c (r = -0.265, P = 0.042), fasting insulin level (r = −0.260, P = 0.047), and waist circumference (r = −0.373, P = 0.005).

Conclusions

Decreased PD-L2+ M-MDSCs and PD-1+ Tregs may promote effector T cell activation, leading to chronic low-grade inflammation in type 2 diabetes. These findings highlight the contribution of MDSCs and Tregs to the immunopathogenesis of type 2 diabetes and suggest their potential as targets for new therapeutic approaches.

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Chaiho Jeong Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea

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Bongseong Kim Department of Medical Statistics, Soongsil University of Korea, Seoul, Republic of Korea

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Jinyoung Kim Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea

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Hansang Baek Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea

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Mee Kyoung Kim Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea

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Tae-Seo Sohn Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea

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Ki-Hyun Baek Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea

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Ki-Ho Song Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea

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Hyun-Shik Son Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea

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Kyungdo Han Department of Medical Statistics, Soongsil University of Korea, Seoul, Republic of Korea

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Hyuk-Sang Kwon Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea

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Objective

Real-world-based population data about the optimal low-density lipoprotein cholesterol (LDL-C) level for preventing cardiovascular disease in very high-risk populations is scarce.

Methods

From 2009 to 2012, 26,922 people aged ≥ 40 years with type 2 diabetes mellitus (T2DM) who had a history of percutaneous coronary intervention (PCI) were analyzed. Data from the Korean National Health Insurance System were used. They were followed up to the date of a cardiovascular event or the time to death, or until December 31, 2018. Endpoints were recurrent PCI, newly stroke or heart failure, cardiovascular death, and all-cause death. Participants were divided into the following categories according to LDL-C level: <55 mg/dL, 55–69 mg/dL, 70–99 mg/dL, 100–129 mg/dL, 130–159 mg/dL, and ≥ 160 mg/dL.

Results

Compared to LDL-C < 55 mg/dL, the hazard ratios (HR) for re-PCI and stroke increased linearly with increasing LDL-C level in the population < 65 years. However, in ≥ 65 years old, HRs for re-PCI and stroke in LDL-C = 55–69 mg/dL were 0.97 (95% CI: 0.85–1.11) and 0.96 (95% CI: 0.79–2.23), respectively. The optimal range with the lowest HR for heart failure and all-cause mortality were LDL-C = 70–99 mg/dL and LDL-C = 55–69 mg/dL, respectively, in all age groups (HR: 0.99, 95% CI: 0.91–1.08 and HR: 0.91, 95% CI: 0.81–1.01).

Conclusion

LDL-C level below 55 mg/dL appears to be optimal in T2DM patients with established cardiovascular disease aged < 65 years, while an LDL-C level of 55–69 mg/dL may be optimal for preventing recurrent PCI and stroke in patients over 65 years old.

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Yanmei Lou Department of Health Management, Beijing Xiaotangshan Hospital, Beijing, People’s Republic of China

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Yanyan Zhang Department of Epidemiology and Health Statistics, Shenzhen University Health Science Center, Shenzhen, Guangdong, People’s Republic of China

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Ping Zhao Department of Health Management, Beijing Xiaotangshan Hospital, Beijing, People’s Republic of China

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Pei Qin Department of Epidemiology and Health Statistics, Shenzhen University Health Science Center, Shenzhen, Guangdong, People’s Republic of China

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Changyi Wang Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, Guangdong, People’s Republic of China

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Jianping Ma Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, Guangdong, People’s Republic of China

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Xiaolin Peng Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, Guangdong, People’s Republic of China

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Hongen Chen Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, Guangdong, People’s Republic of China

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Dan Zhao Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, Guangdong, People’s Republic of China

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Shan Xu Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, Guangdong, People’s Republic of China

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Li Wang Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, Guangdong, People’s Republic of China

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Ming Zhang Department of Epidemiology and Health Statistics, Shenzhen University Health Science Center, Shenzhen, Guangdong, People’s Republic of China

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Dongsheng Hu Department of Epidemiology and Health Statistics, Shenzhen University Health Science Center, Shenzhen, Guangdong, People’s Republic of China

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Fulan Hu Department of Epidemiology and Health Statistics, Shenzhen University Health Science Center, Shenzhen, Guangdong, People’s Republic of China

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We aimed to assess the association between fasting plasma glucose (FPG) change trajectory and incident hypertension among Chinese population. This cohort study included 11,791 adults aged 18–80 years without hypertension at first entry and who completed at least four follow-ups between 2009 and 2016. Logistic regression was used to estimate odds ratios (ORs) and 95% CIs for the association between FPG change trajectory and probability of hypertension. During a median follow-up of 5.10 years (total person–years 61,887.76), hypertension developed in 2177 participants. After adjusting for baseline potential confounders, the probability of hypertension increased with the increasing FPG change trajectory (adjusted OR (aOR) 1.22, 95% CI 1.07–1.40), bell-shape trajectory (aOR 1.15, 95% CI 1.02–1.30) and other-shape trajectory (aOR 1.13, 95% CI 1.02–1.25) which showed a higher variability of FPG compared to the decreasing group. In addition, the increasing FPG change trajectory was associated with a higher probability of hypertension compared with the decreasing group regardless of age and BMI but was only significant in males and in those with normal FPG at baseline. Our study indicates that the increasing FPG change trajectory determines the highest risk of hypertension, demonstrating the importance of maintaining low and stable levels of FPG, especially in males and in those with normal FPG.

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Xinge Tao Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China

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Yanbin Xue Computer Net Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Rui Niu Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China

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Wenjing Lu Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China

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Huayan Yao Computer Net Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Chunmei He Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China

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Bin Cui Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Changqin Liu Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
Xiamen Key Laboratory for Clinical Efficacy and Evidence-Based Research of Traditional Chinese Medicine, the First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
Fujian Province Key Laboratory of Diabetes Translational Medicine, The First Affiliated Hospital of Xiamen University, School of medicine, Xiamen University, Xiamen, China

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Objective

The aim of this study was to compare the differences in incident population, comorbidities, and glucose-lowering drug prescriptions between newly diagnosed patients with early-onset type 2 diabetes mellitus (T2DM) and those with late-onset T2DM to provide real-world evidence for clinical practice.

Methods

This study was based on the Shanghai Hospital Link Database (SHLD). Anonymized electronic medical record (EHR) data from 2013 to 2021 were included in this study. Newly diagnosed patients with T2DM were defined as those without related diagnostic records or glucose-lowering medicine prescriptions in the past 3 years. Early-onset T2DM was defined as patients who were aged 18–40 years old at the first visit for T2DM to represent those who were born after the 1980s. And late-onset T2DM was defined as those aged 65–80 years old to represent those who were born in a relatively undeveloped period. Descriptive statistical analyses were performed to describe their incidence number, glucose-lowering drug prescriptions, and comorbidities at the first visit to the hospital between two T2DM groups.

Results

There were a total of 35,457 newly diagnosed patients with early-onset T2DM and 149,108 newly diagnosed patients with late-onset T2DM included in this study. Patients with late-onset T2DM constituted the majority and their number increased by 2.5% on average by years, while the number of patients with early-onset T2DM remained stable each year. Compared with late-onset T2DM patients, more early-onset T2DM patients had dyslipidemia at the first visit to hospitals (9.5% vs 7.7%, P < 0.01) despite their significant age differences. Patients with early-onset T2DM were more likely to use metformin (74.8% vs 46.5, P < 0.01), dipeptidyl peptidase-4 inhibitors (DDP-4i) (16.7% vs 11.2%, P < 0.01), thiazolidinediones (TZD) (14.9% vs 8.4%, P < 0.01), sodium glucose cotransporter 2 inhibitors (SGLT2-i) (0.8% vs 0.3%, P < 0.01), and glucagon-like peptide 1 receptor agonists (GLP-1 RA) (3.7% vs 0.5%, P < 0.01) at their first visit to the hospital.

Conclusions

Different characteristics were observed between patients with early-onset T2DM and those with late-onset T2DM. Compared with patients with late-onset T2DM, those with early-onset T2DM were more prone to dyslipidemia and had novel organ-protective drugs prescribed.

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Chan Yang School of Nursing, Ningxia Medical University, Yinchuan, Ningxia, China
School of Public Health, Ningxia Medical University, Yinchuan, Ningxia, China

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Yadi Zhang School of Public Health, Ningxia Medical University, Yinchuan, Ningxia, China

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Juan Li School of Public Health, Ningxia Medical University, Yinchuan, Ningxia, China

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Xiaowei Liu School of Public Health, Ningxia Medical University, Yinchuan, Ningxia, China

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Jiangwei Qiu School of Public Health, Ningxia Medical University, Yinchuan, Ningxia, China

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Jiaxing Zhang School of Public Health, Ningxia Medical University, Yinchuan, Ningxia, China

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Xiuying Liu School of Public Health, Ningxia Medical University, Yinchuan, Ningxia, China
Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, Ningxia, China

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Yuhong Zhang School of Public Health, Ningxia Medical University, Yinchuan, Ningxia, China
Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, Ningxia, China

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Yi Zhao School of Public Health, Ningxia Medical University, Yinchuan, Ningxia, China
Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, Ningxia, China

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In the last 40 years, there has been a notable rise in the occurrence of diabetes within China, leading to the country now having the highest number of individuals affected by this condition globally. This prospective observational study examined the effect of different baseline relative leukocyte telomere length (RTL) and the combined effect of baseline RTL and plasma phospholipid fatty acid (PPFA) on the risk of developing diabetes. Adults from Ningxia Province who underwent baseline and follow-up surveys were included in the study. The correlation between the baseline RTL and PPFA was investigated using a multiple linear regression model. The combined effects of baseline RTL and PPFA levels on the risk of developing type 2 diabetes mellitus (T2DM) were investigated using a Cox regression model with time as the covariate. A total of 1461 study subjects were included in this study. According to the diagnostic criteria of the Chinese Diabetes Society, 141 subjects developed T2DM during the follow-up period. The baseline age was negatively correlated with RTL. After adjustment for age, C16:0, C18:1 n-9, C20:4 n-6, C20:3 n-3, and monounsaturated fatty acid (MUFA) concentrations were negatively correlated with RTL. Multiple linear regression analysis showed that C16:0 and MUFA concentrations influenced RTL. Subjects with shorter RTL at baseline had a higher risk of developing diabetes than those with longer RTL. Subjects with shorter RTL and higher C16:0 and MUFA concentrations at baseline had a higher risk of developing T2DM than those with longer RTL and lower C16:0 and MUFA concentrations. Our findings indicated that PPFA affects changes in RTL. In addition, RTL and PPFA are associated with the occurrence of T2DM.

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