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David Q Pham Western University of Health Sciences, College of Pharmacy, Pomona, California, USA
Mary & Dick Allen Diabetes Center at Hoag Hospital, Newport Beach, California, USA

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Ashley Thorsell Sansum Diabetes Research Institute, Santa Barbara, California, USA

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Kristin Castorino Sansum Diabetes Research Institute, Santa Barbara, California, USA

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Brandon Cobb Sansum Diabetes Research Institute, Santa Barbara, California, USA

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The main objective of this article is to provide a comprehensive review of continuous glucose monitor (CGM) use in pregnant women with type 1 diabetes (T1D) from the CONCEPTT study including subanalyses. Literature search was accessed through MEDLINE (1966–September 2023) using the key terms: CONCEPTT, pregnancy, women, T1D, and CGM with limitations set to distinguish human subjects written in English. A total of 17 publications including one main clinical trial and 15 subanalyses have been published to date regarding the use of CGM in pregnant women with T1D which were conducted by a research group identified as the CONCEPTT Collaborative Group. While advances in maternal care have resulted in safer pregnancy for both the mother and child, women with preexisting T1D and pregnancy still experience higher rates of complications both in the short and long term. The use of CGM in pregnancy has not been studied extensively until more recently. The CONCEPTT clinical trial was a landmark study that involved several subanalyses. The main trial proved that CGM use in T1D pregnancy resulted in less hyperglycemia in the third trimester, reduced large for gestational age (LGA, >90th percentile), reduced neonatal intensive care unit admissions lasting longer than 24 h, and reduced neonatal hypoglycemia. Although subanalyses showed a variety of results including ‘inconclusive’ due to lack of prespecification, it is believed that CGM in T1D during pregnancy is to be recommended and used for overall improved outcomes.

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Robert Maidstone Oxford Centre for Diabetes, Endocrinology and Metabolism, and Oxford Kavli Centre for Nanoscience Discovery, University of Oxford, Oxford, UK
Centre for Biological Timing, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK

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Martin K Rutter Centre for Biological Timing, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester, UK

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Thomas Marjot Oxford Centre for Diabetes, Endocrinology and Metabolism, and Oxford Kavli Centre for Nanoscience Discovery, University of Oxford, Oxford, UK
Oxford Liver Unit, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, UK

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David W Ray Oxford Centre for Diabetes, Endocrinology and Metabolism, and Oxford Kavli Centre for Nanoscience Discovery, University of Oxford, Oxford, UK
NIHR Oxford Health Biomedical Research Centre, and NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK

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Matthew Baxter Oxford Centre for Diabetes, Endocrinology and Metabolism, and Oxford Kavli Centre for Nanoscience Discovery, University of Oxford, Oxford, UK
NIHR Oxford Health Biomedical Research Centre, and NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK

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Background and aims

Non-alcoholic fatty liver disease (NAFLD) has rapidly become the most common liver disease worldwide. Modern lifestyles have been linked to this rise in prevalence with changes in rhythmic human behaviour emerging as a possible mechanism. We investigated how shift working patterns and chronotype were associated with hepatic fat fraction and NAFLD in 282,303 UK Biobank participants.

Methods

We stratified participants into day, irregular-shift, and permanent night-shift workers. We then utilised multiple methods of disease identification including (i) Dallas steatosis index (DSI), (ii) ICD10 codes, and (iii) hepatic proton density fat fraction (PDFF) and examined how shift work exposure impacted these variables. We further assessed the relationship of baseline chronotype with liver phenotypes using these same outcome measures.

Results

Compared to day workers, irregular-shift workers were more likely to have a high DSI (OR 1.29 (1.2–1.4)) after adjusting for major covariates with some attenuation after additional adjustment for BMI (OR 1.12 (1.03–1.22)). Likelihood of high DSI was also increased in permanent night-shift workers (OR 1.08 (0.9–1.29)) in the fully adjusted model. Mediator analysis revealed that BMI was a significant mediator of the shift work effect. Compared to participants with intermediate chronotype, those with extreme late chronotype had a higher likelihood of high DSI defined NAFLD (OR 1.45 (1.34–1.56)) and a higher likelihood of NAFLD/NASH by ICD10 code (OR 1.23 (1.09–1.39)). Hepatic PDFF was elevated in irregular shift workers, but not permanent night-shift workers.

Conclusions

Irregular-shift work and extreme late chronotype are associated with pathological liver fat accumulation, suggesting circadian misalignment may have an underlying pathogenic role. These findings have implications for health interventions to mitigate the detrimental effect of shift work.

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Iben Rix Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
Zealand Pharma A/S, Søborg, Denmark

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Marie L Johansen Department of Medicine, Herlev Hospital, University of Copenhagen, Herlev, Denmark

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Asger Lund Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark

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Malte P Suppli Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark

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Elizaveta Chabanova Department of Radiology, Herlev Hospital, University of Copenhagen, Herlev, Denmark

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Gerrit van Hall Clinical Metabolomics Core Facility, Department of Clinical Biochemistry, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark

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Jens J Holst Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark

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Nicolai J Wewer Albrechtsen Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
Department of Clinical Biochemistry, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark

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Caroline Kistorp Department of Endocrinology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark

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Filip K Knop Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
Steno Diabetes Center Copenhagen, Herlev, Denmark

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Aims

Hyperglucagonaemia contributes to the pathophysiology in type 2 diabetes (T2D), but the mechanisms behind the inappropriate glucagon secretion are not fully understood. Glucagon and amino acids are regulated in a feedback loop referred to as the liver–α cell axis. Individuals with non-alcoholic fatty liver disease (NAFLD) appear to be glucagon resistant, disrupting the liver–α cell axis resulting in hyperglucagonaemia and hyperaminoacidaemia. We investigated the associations between circulating glucagon, amino acids, and liver fat content in a cohort of individuals with T2D.

Methods

We included 110 individuals with T2D in this cross-sectional study. Liver fat content was quantified using 1H magnetic resonance spectroscopy (MRS). Associations between liver fat content and plasma glucagon and amino acids, respectively, were estimated in multivariate linear regression analyses.

Results

Individuals with NAFLD (n = 52) had higher plasma glucagon concentrations than individuals without NAFLD (n = 58). The positive association between plasma glucagon concentrations and liver fat content was confirmed in the multivariable regression analyses. Plasma concentrations of isoleucine and glutamate were increased, and glycine and serine concentrations were decreased in individuals with NAFLD. Concentrations of other amino acids were similar between individuals with and without NAFLD, and no clear association was seen between liver fat content and amino acids in the regression analyses.

Conclusion

MRS-diagnosed NAFLD in T2D is associated with hyperglucagonaemia and elevated plasma concentrations of isoleucine and glutamate and low plasma concentrations of glycine and serine. Whether NAFLD and glucagon resistance per se induce these changes remains to be elucidated.

Open access
Feifei Shao Department of Endocrinology, Gansu Provincial Hospital, Lanzhou, Gansu, China
Clinical Research Center for Metabolic Disease, Gansu Province, Lanzhou, Gansu, China
The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China

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Xinxin Hu Clinical Research Center for Metabolic Disease, Gansu Province, Lanzhou, Gansu, China
The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China

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Jiayu Li Clinical Research Center for Metabolic Disease, Gansu Province, Lanzhou, Gansu, China
The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China

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Bona Bai Clinical Research Center for Metabolic Disease, Gansu Province, Lanzhou, Gansu, China
The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China

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Limin Tian Department of Endocrinology, Gansu Provincial Hospital, Lanzhou, Gansu, China
Clinical Research Center for Metabolic Disease, Gansu Province, Lanzhou, Gansu, China
The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China

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Aims

Aging, obesity, and type 2 diabetes mellitus (T2DM) form a metabolic disease continuum that has a continuously increasing prevalence. Lipidomics explains the complex interactions between lipid metabolism and metabolic diseases. We aimed to systematically investigate the plasma lipidome changes induced by newly diagnosed impaired glucose tolerance (IGT) and T2DM in overweight/obese elderly individuals and to identify potential biomarkers to differentiate between the IGT, T2DM, and control groups.

Methods

Plasma samples from 148 overweight/obese elderly individuals, including 52 patients with IGT, 47 patients with T2DM, and 49 euglycemic controls, were analyzed using a high-coverage nontargeted absolute quantitative lipidomics approach.

Results

We quantified 1840 lipids from thirty-eight classes and seven lipid categories. Among overweight/obese elderly individuals, the lipidomic profiles of IGT and T2DM patients were significantly different from those of controls, while they were similar in the IGT and T2DM groups. The concentrations of diglycerides, triglycerides, phosphatidylcholines, and ceramides were obviously altered in the IGT and T2DM groups. Particularly, IGT and T2DM induced the accumulation of triglycerides with longer carbon atom numbers (C44–50) and saturated or lower double bond numbers (n (C=C) = 0–2). Furthermore, a total of 17 potential lipidic biomarkers were identified to successfully differentiate between the IGT, T2DM, and control groups.

Conclusions

In overweight/obese elderly patients, IGT and T2DM induced apparent lipidome-wide changes. This study’s results may contribute to explaining the complex dysfunctional lipid metabolism in aging, obesity, and diabetes.

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Kathryn Lingen Close Concerns, San Francisco, California, USA

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Talia Pikounis Close Concerns, San Francisco, California, USA

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Natalie Bellini University Hospitals, Cleveland, Ohio, USA

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Diana Isaacs Cleveland Clinic, Cleveland, Ohio, USA

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Insulin administration remains vital to the treatment of diabetes and although there have been advances in insulin delivery, evidence suggests that many people with diabetes on insulin therapy have suboptimal glycemic management. Recent advancements in insulin administration techniques include connected insulin devices, such as connected insulin pens and pen caps. In this review, we provide an overview of the literature on the use of connected insulin pens and pen caps to further elucidate the clinical benefits and drawbacks of these devices. We discuss the development of these devices, outlining the characteristics of insulin pens and pen caps with regulatory approvals. These devices have different features that can ease the burden of diabetes management, including automatic recording of insulin dose information, tracking of insulin-on-board, bolus calculators, and missed dose alerts. Despite the advantages of connected pens and pen caps, a small percentage of insulin users are currently using these devices, due to many factors, including lack of health-care professional awareness, initial training for prescribers, and setup of the device. Overcoming these barriers and publishing more data demonstrating the glycemic outcomes associated with these systems could improve diabetes management for people living with diabetes. As health-care systems become increasingly digital, connected insulin pens have the potential to allow a data-driven approach to diabetes management for people who are not interested in, cannot afford, or do not have intensive insulin regimens that might warrant use of insulin pumps or automated insulin delivery systems.

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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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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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Yuan Huang Department of Cardiology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China

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Yunyun Hu The First Affiliated Hospital, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China

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Bingshu Bao The Second People’s Hospital, Luqiao, Taizhou, Zhejiang, China

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Background

Obesity and arterial stiffness are strongly associated with cardiovascular disease; however, their relationship remains controversial.

Methods

Body mass index was measured using anthropometric evaluation, and visceral fat area was calculated using an absorptiometry scan.

Results

The data of 5309 participants were collected from NHANES (National Health and Nutrition Examination Survey) (2011–2018). Based on the normal-weight normal visceral fat group that was considered as a reference, ePWV increased in all other groups, with the obese grade 2 visceral obesity group increasing the most by 26.35 cm/s (95% CI: 13.52, 39.18, P < 0.001), followed by normal-weight visceral obesity group 24.43 cm/s (95% CI: 1.88, 46.98, P = 0.035), which was even higher than obese grade 1 visceral obesity (β: 21.16, 95% CI: 9.24, 33.07, P = 0.001), obese grade 2 normal visceral fat group (β: 13.8; 95% CI: 0.10, 27.5, P = 0.048) and overweight visceral obesity group (β: 10.23; 95% CI: 1.89, 18.57, P = 0.018). For the 10-year cardiovascular risk, the obese grade 2 visceral obesity group had a 9.56-fold increase in compared with the control (OR: 10.56, 95% CI: 4.06, 27.51, P < 0.0001). Normal-weight visceral obesity, obese grade 1 visceral obesity, and overweight visceral obesity groups increased by 8.03-fold (OR: 9.03, 95% CI: 2.66, 30.69; P < 0.001), 7.91-fold (OR: 8.91, 95% CI: 3.82, 20.79, P < 0.001), and 7.28-fold (OR: 8.28, 95% CI: 3.19, 21.46, P < 0.001). The risk was lower in the normal visceral fat group. Except for the obese grade 2 normal visceral fat group, there was no significant difference in other groups.

Conclusions

Normal-weight visceral obesity was associated with higher arterial stiffness and 10-year cardiovascular risk.

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Xiaobing Lu Department of Endocrinology and Metabolism, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China

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Jiang Yue Department of Endocrinology and Metabolism, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China

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Qianjing Liu Department of Endocrinology and Metabolism, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China

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Shengyun He Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China

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Ying Dong Department of Endocrinology and Metabolism, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China

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Ming Zhang Department of Endocrinology and Metabolism, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China

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Yicheng Qi Department of Endocrinology and Metabolism, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China

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Minglan Yang Department of Endocrinology and Metabolism, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China

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Wang Zhang Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China

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Hua Xu Department of Endocrinology and Metabolism, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China

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Qing Lu Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China

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Jing Ma Department of Endocrinology and Metabolism, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China

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Background

The aim of this study was to address the intramuscular adipose tissue (IMAT) accumulation in the lower extremities and further detect the relationship between adipose tissue (AT) distribution in the muscle and glucose metabolism in subjects with obesity.

Methods

We conducted a cross-sectional study in 120 Chinese obese adults (80 male and 40 female) with BMI ≥ 28 kg/m2. MRI was applied to access the IMAT content in lower extremities. The oral glucose tolerance test was used to evaluate the glucose metabolism and insulin secretion in all individuals. The correlations between glucose metabolism and the fat content of the lower extremities were further assessed.

Results

Among 120 included subjects, 54 were classified as subjects with normal glucose tolerance (NGT) and 66 with impaired glucose regulation (IGR). We presented that those with IGR had higher fat accumulation in semitendinosus, adductor magnus, gracilis and sartorius than those with NGT (all P < 0.05). In sex-specific analyses, females have higher IMAT in adductor magnus than males (P < 0.001). Males with IGR had higher fat fraction of semitendinosus and sartorius than those with NGT (P = 0.020, P = 0.014, respectively). Logistic regression analyses revealed that IMAT content in semitendinosus was the independent factor of IGR in individuals with obesity after adjustment for age, gender, triglycerides, creatinine and albumin (odds ratio: 1.13, 95% CI: 1.02–1.26, P = 0.024).

Conclusions

Increased adipose tissue accumulation in thigh muscles was associated with glucose dysregulation in patients with obesity. IMAT content in semitendinosus may serve as a possible risk factor for impaired glucose metabolism.

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Tsung-Hui Wu Section of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan

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Guan-Yu Su Section of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan

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Tsung-Yun Liu Institute of Food Safety and Health Risk Assessment, College of Pharmaceutical Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan

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Hsiang-Tsui Wang Institute of Food Safety and Health Risk Assessment, College of Pharmaceutical Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan
Institute of Pharmacology, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
PhD Program in Toxicology, Kaohsiung Medical University, Kaohsiung, Taiwan

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Chii-Min Hwu Section of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
Faculty of Medicine, National Yang Ming Chiao Tung University School of Medicine, Taipei, Taiwan

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Acrolein, an unsaturated aldehyde, plays a pathological role in neurodegenerative diseases. However, less is known about its effects on peripheral neuropathy. The aim of this study was to investigate the association of acrolein and diabetic peripheral neuropathy in patients with type 2 diabetes. We recruited 148 ambulatory patients with type 2 diabetes. Each participant underwent an assessment of the Michigan Neuropathy Screening Instrument Physical Examination. Diabetic peripheral neuropathy was defined as Michigan Neuropathy Screening Instrument Physical Examination score ≥ 2.5. Serum levels and urinary levels of acrolein protein conjugates were measured. Urinary acrolein protein conjugates-to-creatinine ratios were determined. Patients with diabetic peripheral neuropathy had significantly higher urinary acrolein protein conjugates-to-creatinine ratios than those without diabetic peripheral neuropathy (7.91, 95% CI: 5.96–10.50 vs 5.31, 95% CI: 4.21–6.68, P = 0.029). Logarithmic transformation of urinary acrolein protein conjugates-to-creatinine ratios was positively associated with diabetic peripheral neuropathy in univariate logistic analysis, and the association remained significant in multivariate analysis (OR = 2.45, 95% CI: 1.12–5.34, P = 0.025). In conclusion, urinary acrolein protein conjugates-to-creatinine ratio may act as a new biomarker for diabetic peripheral neuropathy in type 2 diabetes. The involvement of acrolein in the pathogenesis of diabetic peripheral neuropathy warrants further investigation.

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