Arne Astrup’s research while affiliated with Novo Nordisk and other places

The genetics of β-cell function (BCF) offer valuable insights into the aetiology of type 2 diabetes (T2D)1,2. Previous studies have expanded the catalogue of BCF genetic associations through candidate gene studies3–7, large-scale genome-wide association studies (GWAS) of fasting BCF8,9 or functional islet studies on T2D risk variants10–14. Nonetheless, GWAS focused on BCF traits derived from oral glucose tolerance test (OGTT) data have been limited in sample size15,16 and have often overlooked the potential for related traits to capture distinct genetic features of insulin-producing β-cells17,18. We reasoned that investigating the genetic basis of multiple BCF estimates could provide a broader understanding of β-cell physiology. Here, we aggregate GWAS data of eight OGTT-based BCF traits from ~26,000 individuals of European descent, identifying 55 independent genetic associations at 44 loci. By examining the effects of BCF genetic signals on related phenotypes, we uncover diverse disease mechanisms whereby genetic regulation of BCF may influence T2D risk. Integrating BCF-GWAS data with pancreatic islet transcriptomic and epigenomic datasets reveals 92 candidate effector genes. Gene silencing in β-cell models highlights ACSL1 and FAM46C as key regulators of insulin secretion. Overall, our findings yield insights into the biology of insulin release and the molecular processes linking BCF to T2D risk, shedding light on the heterogeneity of T2D pathophysiology.

Application of the physical laws of energy and mass conservation at the whole-body level is not necessarily informative about causal mechanisms of weight gain and the development of obesity. The energy balance model (EBM) and the carbohydrate-insulin model (CIM) are two plausible theories, among several others, attempting to explain why obesity develops within an overall common physiological framework of regulation of human energy metabolism. These models have been used to explain the pathogenesis of obesity in individuals as well as the dramatic increases in the prevalence of obesity worldwide over the past half century. Here, we summarize outcomes of a recent workshop in Copenhagen that brought together obesity experts from around the world to discuss causal models of obesity pathogenesis. These discussions helped to operationally define commonly used terms; delineate the structure of each model, particularly focussing on areas of overlap and divergence; challenge ideas about the importance of purported causal factors for weight gain; and brainstorm on the key scientific questions that need to be answered. We hope that more experimental research in nutrition and other related fields, and more testing of the models and their predictions will pave the way and provide more answers about the pathogenesis of obesity than those currently available.

Introduction Behavioural weight loss programmes are generally accepted as being beneficial in reducing cardiometabolic risk and improving patient-reported outcomes. However, prospective data from large real-world cohorts are scarce concerning the mid-term and long-term impact of such interventions. The objective of this large prospective cohort study (n>10 000 participants) is to demonstrate the effectiveness of the standardised Nutritional and Psycho-Behavioural Rehabilitation programme (RNPC Programme) in reducing the percentage of subjects requiring insulin and/or other diabetes drug therapy, antihypertensive drugs, lipid-lowering therapies and continuous positive airway pressure therapy for obstructive sleep apnoea after the end of the intervention. The rate of remission of hypertension, type 2 diabetes and sleep apnoea will also be prospectively assessed. Methods This is a prospective multicentre observational study carried out in 92 RNPC centres in France. Participants will follow the standardised RNPC Programme. The prospective dataset will include clinical, anthropometric and biochemical data, comorbidities, medications, body composition, patient-reported outcome questionnaire responses, sleep study data with objective measurements of sleep apnoea severity and surrogate markers of cardiovascular risk (ie, blood pressure and arterial stiffness). About 10 000 overweight or obese participants will be included over 2 years with a follow-up duration of up to 5 years. Ethics and dissemination Ethical approval for this study has been granted by the Ethics Committee (Comité de protection des personnes Sud-Est I) of Saint-Etienne University Hospital, France (SI number: 23.00174.000237). Results will be submitted for publication in peer-review journals, presented at conferences and inform the design of a future randomised controlled trial in the specific population identified as good responders to the RNPC Programme. Trial registration number NCT05857319 .

Introduction: Obesity adversely affects the health of the individual and impacts society through increased healthcare costs and lost workdays. Individuals in lower socioeconomic groups are more severely affected. Here, we examined people living with severe obesity and comorbidities across educational levels. Methods: Individuals with a BMI ≥ 35 kg/m2 and aged ≥ 16 years from the Danish National Health Survey 2021 were categorised into five educational levels and according to their number of obesity-related comorbidities (0, 1, 2 and ≥ 3). Results: A total of 5.8% had a BMI ≥ 35 kg/m2, ranging from 2.2% to 10.7% in the 98 municipalities, and from 2.6% to 8.8% according to education level. Among individuals with a BMI ≥ 35 kg/m2 and the shortest education, 13.4% had no comorbidities, and 45.6% had ≥ 3 comorbidities. In contrast, among individuals with a BMI ≥ 35 kg/m2 and the longest education, 47.4% had no comorbidities, and 14.6% had ≥ 3 comorbidities. Among those with a BMI ≥ 35 kg/m2 and ≥ 3 comorbidities, 73.6% had elementary or vocational school as their highest education level, and 3.4% had a long higher education. Conclusions: The prevalence of individuals living with a BMI ≥ 35 kg/m2 differs by 3-5-fold depending on municipality and between the lowest and highest educational level. Additionally, the less educated group living with a BMI ≥ 35 kg/m2 was three times more likely to have ≥ 3 comorbidities than the most educated group. Hence, more research is warranted to understand the underlying causes and reduce social inequity in health. Funding: Novo Nordisk Fonden. Trial registration: Not relevant.

This chapter focuses on key concepts surrounding obesity, which refers to the excessive accumulation of fat in the body. The extent of fat accumulation often impairs normal physiological functions and increases the risk of medical complications. Excess body fat is associated with the development of metabolic diseases such as type 2 diabetes, dyslipidaemia, non-alcoholic fatty liver disease, and certain types of cancer and cardiovascular disorders. The chapter acknowledges the physiological consequences of obesity and associated health risks while considering its worldwide prevalence and causal factors. It then discusses the different approaches for obesity prevention and treatment, including diet, exercise, drugs, and surgery.

Background/Objective Insulin resistance is more prominent in men than women. If this involves adipose tissue is unknown and was presently examined. Subjects/Methods AdipoIR (in vivo adipose insulin resistance index) was measured in 2344 women and 787 men. In 259 of the women and 54 of the men, insulin induced inhibition of lipolysis (acylglycerol breakdown) and stimulation of lipogenesis (glucose conversion to acylglycerols) were determined in subcutaneous adipocytes; in addition, basal (spontaneous) lipolysis was also determined in the fat cells. In 234 women and 115 men, RNAseq expression of canonical insulin signal genes were measured in subcutaneous adipose tissue. Messenger RNA transcripts of the most discriminant genes were quantified in 175 women and 109 men. Results Men had higher AdipoIR values than women but only when obesity (body mass index 30 kg/m² or more) was present (p < 0.0001). The latter sex dimorphism was found among physically active and sedentary people, in those with and without cardiometabolic disease and in people using nicotine or not (p = 0.0003 or less). In obesity, adipocyte insulin sensitivity (half maximum effective hormone concentration) and maximal antilipolytic effect were tenfold and 10% lower, respectively, in men than women (p = 0.005 or less). Basal rate of lipolysis was two times higher in men than women (p > 0.0001). Sensitivity and maximum effect of insulin on lipogenesis were similar in both sexes (p = 0.26 and p = 0.18, respectively). When corrected for multiple comparison only RNAseq expression of insulin receptor substrate 1 (IRS1) was lower in men than women (p < 0.0001). The mRNA transcript for IRS1 was 60% higher in women than men (p < 0.0001). Conclusions In obesity, adipose tissue insulin resistance is more pronounced in men than in women. The mechanism involves less efficient insulin-mediated inhibition of adipocyte lipolysis, increased basal rate of lipolysis and decreased adipose expression of a key element of insulin signaling, IRS1.

To date only a fraction of the genetic footprint of thyroid function has been clarified. We report a genome-wide association study meta-analysis of thyroid function in up to 271,040 individuals of European ancestry, including reference range thyrotropin (TSH), free thyroxine (FT4), free and total triiodothyronine (T3), proxies for metabolism (T3/FT4 ratio) as well as dichotomized high and low TSH levels. We revealed 259 independent significant associations for TSH (61% novel), 85 for FT4 (67% novel), and 62 novel signals for the T3 related traits. The loci explained 14.1%, 6.0%, 9.5% and 1.1% of the total variation in TSH, FT4, total T3 and free T3 concentrations, respectively. Genetic correlations indicate that TSH associated loci reflect the thyroid function determined by free T3, whereas the FT4 associations represent the thyroid hormone metabolism. Polygenic risk score and Mendelian randomization analyses showed the effects of genetically determined variation in thyroid function on various clinical outcomes, including cardiovascular risk factors and diseases, autoimmune diseases, and cancer. In conclusion, our results improve the understanding of thyroid hormone physiology and highlight the pleiotropic effects of thyroid function on various diseases.

Objectives The objective of this analysis was to evaluate the effect of a diet rich in animal protein and low in glycemic index on blood pressure during pregnancy. Design This post hoc, secondary data analysis of a randomized controlled trial, evaluated blood pressure in pregnant participants who were randomized either to an ad libitum diet with high protein and low glycemic index, rich in dairy and seafood, or an ad libitum control diet according to national recommendations. Setting The study occurred in pregnant women in Copenhagen, Denmark. Sample A total of 279 pregnant females with overweight or obesity were enrolled. Methods and outcome measure Blood pressure was measured at 5 timepoints during pregnancy from gestational week 15 through week 36, and blood pressure between groups was compared. Results There were no differences between diet arms in systolic or diastolic blood pressure over time. There were also no differences in most blood-pressure-related pregnancy complications, including the prevalence of premature birth, preeclampsia, or hypertension, but the frequency of total cesarean sections was lower in the active than the control group (16 out of 104 vs. 30 out of 104) (p = 0.02). Conclusion Increased animal protein intake was not associated with changes in blood pressure in pregnant women with overweight or obesity. Clinical trial registration [ClinicalTrials.gov], identifier [NCT01894139].