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Sigrid Bjerge Gribsholt Department of Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus, Denmark
Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark
Department of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Aarhus, Denmark

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Morten Schmidt Department of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Aarhus, Denmark
Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark

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Eskild Bendix Kristiansen Department of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Aarhus, Denmark

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Bjørn Richelsen Department of Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus, Denmark
Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark
Department of Clinical Medicine, Aarhus University, Aarhus, Denmark

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Henrik Toft Sørensen Department of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Aarhus, Denmark
Department of Clinical Medicine, Aarhus University, Aarhus, Denmark

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Objective

The aim was to examine the association between hospital-diagnosed overweight/obesity and incident CVD according to the time period of the overweight/obesity diagnosis.

Design

This is a cohort study.

Methods

From Danish national health registries, we identified all residents with a first-time hospital-based overweight/obesity diagnosis code, 1977–2018 (n = 195,221), and an age and sex-matched general population comparison cohort (n = 1,952,210). We computed adjusted hazard ratios (aHRs) with 95% confidence intervals (CIs) using Cox regression. We adjusted for comorbidities and educational level and applied 10 years of follow-up.

Results

The overall incidence rate was 10.1 (95% CI 10.0–10.1) per 1000 person-years for the comparison cohort and 25.1 (95% CI 24.8–25.4) per 1000 person-years for the overweight/obesity cohort, corresponding to an aHR of 2.5 (95% CI 2.4–2.5). The aHR was elevated for all subtypes of CVD: heart failure: 3.9 (95% CI 3.7–4.1), bradyarrhythmia: 2.9 (95% CI 2.7–3.1), angina pectoris: 2.7 (95% CI 2.7–2.8), atrial fibrillation or flutter: 2.6 (95% CI 2.5–2.6), acute myocardial infarction: 2.4 (95% CI 2.3–2.4), revascularization procedure: 2.4 (95% CI 2.2–2.5), valvular heart disease: 1.7 (95% CI 1.6–1.8), ischemic stroke: 1.6 (95% CI 1.4–1.7), transient ischemic attack: 1.6 (95% CI 1.5–1.7), and cardiovascular death: 1.6 (95% CI 1.5–1.6). The 1–10-year aHR of any CVD associated with an overweight/obesity diagnosis decreased from 2.8 (95% CI 2.7–2.9) in 1977–1987 to 1.8 (95% CI 1.8–1.9) in 2008–2018.

Conclusion

Patients with hospital-diagnosed overweight/obesity had high rates of ischemic heart disease, heart failure, structural heart disease, arrhythmia, stroke, and death, although the strength of the association decreased in recent years.

Significance statement

Obesity is linked to metabolic abnormalities that predispose individuals to an increased risk of subtypes of CVD. In this population-based nationwide 40-year cohort study, we found that of 195,221 patients with an overweight/obesity diagnosis, more than 31,000 (15.9%) were admitted to hospital within 10 years because of CVD; corresponding to a 2.5-fold greater relative risk of any CVD associated with overweight/obesity than in the general population. We observed an increased risk for most CVD subtypes, including ischemic heart disease, heart failure, structural heart disease, arrhythmia, stroke, and cardiovascular death, although the strength of the association decreased in recent years. Our study emphasizes the importance of improved clinical handling of obesity and underscores the need to prevent associated complications to alleviate the burden of obesity.

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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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Yueyuan Yang Department of Endocrinology, Renmin Hospital of Wuhan University, Wuhan, China

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Tingting Yu Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, China

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Zhili Niu Department of Clinical Laboratory, Institute of translational medicine, Renmin Hospital of Wuhan University, Wuhan, China

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Ling Gao Department of Endocrinology, Renmin Hospital of Wuhan University, Wuhan, China

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Objective

Uridine might be a common link between pathological pathways in diabetes and cardiovascular diseases. This study aimed to investigate the predictive value of plasma uridine for type 2 diabetes (T2D) and T2D with atherosclerosis.

Methods

Individuals with T2D and healthy controls (n = 218) were randomly enrolled in a cross-sectional study. Patients with T2D were divided into two groups based on carotid ultrasound: patients with carotid atherosclerosis (CA) (group DCA) and patients without CA (group D). Plasma uridine was determined using HPLC-MS/MS. Correlation and logistic regression analyses were used to analyze the results.

Results

Fasting and postprandial uridine were significantly increased in patients with T2D compared with healthy individuals. Logistic regression suggested that fasting and postprandial uridine were independent risk factors for T2D. The receiver operating characteristic (ROC) curve showed that fasting uridine had a predictive value on T2D (95% CI, 0.686–0.863, sensitivity 74.3%, specificity 71.8%). Fasting uridine was positively correlated with LDL-c, FBG, and PBG and negatively correlated with fasting C-peptide (CP-0h) and HOMA-IS. The change in postprandial uridine from fasting baseline (Δuridine) was smaller in T2D patients with CA compared with those without (0.80 (0.04–2.46) vs 2.01 (0.49–3.15), P = 0.010). Δuridine was also associated with T2D with CA and negatively correlated with BMI, CP-0h, and HOMA-IR.

Conclusion

Fasting uridine has potential as a predictor of diabetes. Δuridine is closely associated with carotid atherosclerosis in patients with T2D.

Open access
Svjatoslavs Kistkins Pauls Stradiņš Clinical University Hospital, Riga, Latvia

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Othmar Moser Division of Exercise Physiology and Metabolism, Institute of Sport Science, University of Bayreuth, Bayreuth, Germany

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Vitālijs Ankudovičs Pauls Stradiņš Clinical University Hospital, Riga, Latvia

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Dmitrijs Blizņuks Institute of Smart Computing Technologies, Riga Technical University, Riga, Latvia

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Timurs Mihailovs Institute of Smart Computing Technologies, Riga Technical University, Riga, Latvia

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Sergejs Lobanovs Pauls Stradiņš Clinical University Hospital, Riga, Latvia

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Harald Sourij Trials Unit for Interdisciplinary Metabolic Medicine, Division of Endocrinology and Diabetolgoy, Medical University of Graz, Graz, Austria

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Andreas F H Pfeiffer Department of Endocrinology and Metabolic Medicine, Campus Benjamin Franklin, Charité University Medicine, Hindenburgdamm, Berlin, Germany

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Valdis Pīrāgs Pauls Stradiņš Clinical University Hospital, Riga, Latvia
Faculty of Medicine, University of Latvia, Riga, Latvia

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The increasing prevalence of ‘diabesity’, a combination of type 2 diabetes and obesity, poses a significant global health challenge. Unhealthy lifestyle factors, including poor diet, sedentary behaviour, and high stress levels, combined with genetic and epigenetic factors, contribute to the diabesity epidemic. Diabesity leads to various significant complications such as cardiovascular diseases, stroke, and certain cancers. Incretin-based therapies, such as GLP-1 receptor agonists and dual hormone therapies, have shown promising results in improving glycaemic control and inducing weight loss. However, these therapies also come with certain disadvantages, including potential withdrawal effects. This review aims to provide insights into the cross-interactions of insulin, glucagon, and GLP-1, revealing the complex hormonal dynamics during fasting and postprandial states, impacting glucose homeostasis, energy expenditure, and other metabolic functions. Understanding these hormonal interactions may offer novel hypotheses in the development of ‘anti-diabesity’ treatment strategies. The article also explores the question of the antagonism of insulin and glucagon, providing insights into the potential synergy and hormonal overlaps between these hormones.

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Yee-Ming M Cheung Department of Medicine, The University of Melbourne, Austin Health, Melbourne, Australia
Department of Endocrinology, Austin Health, Melbourne, Australia
Division of Endocrinology, Diabetes and Metabolism, Northwell, Great Neck, New York, USA

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Rudolf Hoermann Department of Medicine, The University of Melbourne, Austin Health, Melbourne, Australia

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Karen Van Department of Endocrinology, Austin Health, Melbourne, Australia

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Damian Wu Department of Medicine, The University of Melbourne, Austin Health, Melbourne, Australia

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Jenny Healy Department of Medicine, The University of Melbourne, Austin Health, Melbourne, Australia

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Bella Halim Department of Endocrinology, Austin Health, Melbourne, Australia

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Manjri Raval Department of Endocrinology, Austin Health, Melbourne, Australia

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Maria McGill Department of Radiology, Austin Health, Melbourne, Australia

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Ali Al-Fiadh Department of Medicine, The University of Melbourne, Austin Health, Melbourne, Australia
Department of Cardiology, Austin Health, Melbourne Australia

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Michael Chao Olivia Newton-John Cancer Research and Wellness Centre, Austin Health, Melbourne, Australia

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Shane White Olivia Newton-John Cancer Research and Wellness Centre, Austin Health, Melbourne, Australia

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Belinda Yeo Olivia Newton-John Cancer Research and Wellness Centre, Austin Health, Melbourne, Australia
Olivia Newton-John Cancer Research Institute, Austin Health, Melbourne, Australia

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Jeffrey D Zajac Department of Medicine, The University of Melbourne, Austin Health, Melbourne, Australia
Department of Endocrinology, Austin Health, Melbourne, Australia

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Mathis Grossmann Department of Medicine, The University of Melbourne, Austin Health, Melbourne, Australia
Department of Endocrinology, Austin Health, Melbourne, Australia

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Purpose

We previously demonstrated that 12 months of aromatase inhibitor (AI) treatment was not associated with a difference in body composition or other markers of cardiometabolic health when compared to controls. Here we report on the pre-planned extension of the study. The pre-specified primary hypothesis was that AI therapy for 24 months would lead to increased visceral adipose tissue (VAT) area when compared to controls.

Methods

We completed a 12-month extension to our prospective 12-month cohort study of 52 women commencing AI treatment (median age 64.5 years) and 52 women with breast pathology not requiring endocrine therapy (63.5 years). Our primary outcome of interest was VAT area. Secondary and exploratory outcomes included other measures of body composition, hepatic steatosis, measures of atherosclerosis and vascular reactivity. Using mixed models and the addition of a fourth time point, we increased the number of study observations by 79 and were able to rigorously determine the treatment effect.

Results

Among study completers (AI = 39, controls = 40), VAT area was comparable between groups over 24 months, the mean-adjusted difference was −1.54 cm2 (95% CI: −14.9; 11.9, P = 0.79). Both groups demonstrated parallel and continuous increases in VAT area over the observation period that did not diverge or change between groups. No statistically significant difference in our secondary and exploratory outcomes was observed between groups.

Conclusions

While these findings provide reassurance that short-to-medium-term exposure to AI therapy is not associated with metabolically adverse changes when compared to controls, risk evolution should be less focussed on the AI-associated effect and more on the general development of cardiovascular risk over time.

Open access
Marenao Tanaka Department of Cardiovascular, Renal and Metabolic Medicine, Sapporo Medical University School of Medicine, Sapporo, Japan
Tanaka Medical Clinic, Yoichi, Japan

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Tomohito Gohda Department of Nephrology, Juntendo University Faculty of Medicine, Tokyo, Japan

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Nozomu Kamei Department of Endocrinology and Metabolism, Hiroshima Red Cross Hospital & Atomic-bomb Survivors Hospital, Hiroshima, Japan
Institute for Clinical Research, NHO Kure Medical Center and Chugoku Cancer Center, Hiroshima, Japan

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Maki Murakoshi Department of Nephrology, Juntendo University Faculty of Medicine, Tokyo, Japan

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Tatsuya Sato Department of Cardiovascular, Renal and Metabolic Medicine, Sapporo Medical University School of Medicine, Sapporo, Japan
Department of Cellular Physiology and Signal Transduction, Sapporo Medical University School of Medicine, Sapporo, Japan

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Mitsunobu Kubota Department of Endocrinology and Diabetology, NHO Kure Medical Center and Chugoku Cancer Center, Hiroshima, Japan

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Michiyoshi Sanuki Institute for Clinical Research, NHO Kure Medical Center and Chugoku Cancer Center, Hiroshima, Japan

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Erika Ishiwata Department of Cardiovascular, Renal and Metabolic Medicine, Sapporo Medical University School of Medicine, Sapporo, Japan

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Keisuke Endo Department of Cardiovascular, Renal and Metabolic Medicine, Sapporo Medical University School of Medicine, Sapporo, Japan

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Yusuke Suzuki Department of Nephrology, Juntendo University Faculty of Medicine, Tokyo, Japan

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Masato Furuhashi Department of Cardiovascular, Renal and Metabolic Medicine, Sapporo Medical University School of Medicine, Sapporo, Japan

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Background

Fatty acid-binding protein 4 (FABP4) is an adipokine that plays significant roles in the development of insulin resistance and atherosclerosis. High levels of soluble tumor necrosis factor receptors (TNFRs) including TNFR1 and TNFR2 are associated with renal dysfunction and increased mortality in patients with diabetes mellitus (DM). However, the association between circulating levels of FABP4 and TNFRs remains unclear.

Methods

We investigated the associations of FABP4 with TNFRs and metabolic markers in Japanese patients with type 1 DM (T1DM, n = 76, men/women: 31/45) and type 2 DM (T2DM, n = 575, men/women: 312/263).

Results

FABP4 concentration was positively correlated with levels of TNFR1 and TNFR2 in both patients with T1DM and those with T2DM. Multivariable regression analyses showed that there were independent associations of FABP4 concentration with body mass index (BMI) and estimated glomerular filtration rate (eGFR) after adjustment for age and sex in both patients with T1DM and those with T2DM. FABP4 concentration was independently associated with circulating levels of TNFR1 and TNFR2 after adjustment for the confounders in patients with T2DM but not in those with T1DM. Similarly, levels of TNFR1 and TNFR2 were independently associated with FABP4 concentration after adjustment for age, sex, systolic blood pressure, duration of DM and levels of eGFR, high-density lipoprotein cholesterol, and C-reactive protein in patients with T2DM but not in those with T1DM.

Conclusion

FABP4 concentration is independently associated with levels of TNFRs in patients with DM, but the association is more evident in patients with T2DM than in those with T1DM.

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