The integrity of ER–mitochondria appositions ensures transfer of ions and phospholipids (PLs) between these organelles and exerts crucial effects on mitochondrial bioenergetics. Malfunctions within the ER–mitochondria contacts altering lipid trafficking homeostasis manifest in diverse pathologies, but the molecular effectors governing this process remain ill-defined. Here, we report that PERK promotes lipid trafficking at the ER–mitochondria contact sites (EMCS) through a non-conventional, unfolded protein response-independent, mechanism. PERK operates as an adaptor for the recruitment of the ER–plasma membrane tether and lipid transfer protein (LTP) Extended-Synaptotagmin 1 (E-Syt1), within the EMCS. In resting cells, the heterotypic E-Syt1-PERK interaction endorses transfer of PLs between the ER and mitochondria. Weakening the E-Syt1-PERK interaction or removing the lipid transfer SMP-domain of E-Syt1, compromises mitochondrial respiration. Our findings unravel E-Syt1 as a PERK interacting LTP and molecular component of the lipid trafficking machinery of the EMCS, which critically maintains mitochondrial homeostasis and fitness.

The etiology of type 1 diabetes has polygenic and environmental determinants that lead to autoimmune responses against pancreatic β cells and promote β cell death. The autoimmunity is considered silent without metabolic consequences until late preclinical stages,and it remains unknown how early in the disease process the pancreatic β cell is compromised. To address this, we investigated preprandial nonfasting and postprandial blood glucose concentrations and islet autoantibody development in 1,050 children with high genetic risk of type 1 diabetes. Pre- and postprandial blood glucose decreased between 4 and 18 months of age and gradually increased until the final measurements at 3.6 years of age. Determinants of blood glucose trajectories in the first year of life included sex, body mass index, glucose-related genetic risk scores, and the type 1 diabetes–susceptible INS gene. Children who developed islet autoantibodies had early elevations in blood glucose concentrations. A sharp and sustained rise in postprandial blood glucose was observed at around 2 months prior to autoantibody seroconversion, with further increases in postprandial and, subsequently, preprandial values after seroconversion. These findings show heterogeneity in blood glucose control in infancy and early childhood and suggest that islet autoimmunity is concurrent or subsequent to insults on the pancreatic islets.

Objective: Achieving good metabolic control in people with type 1 diabetes (T1D) remains a challenge, despite the evolutions in diabetes technologies over the past decade. Here we investigate the evolution of metabolic control in people with T1D, where care is provided by specialized centers with access to technology, diabetes education, and regular follow-up. Methods: Data were cross-sectionally collected between 2010 and 2018 from more than 100 centers in Belgium. The evolutions over time of hemoglobin A1C (HbA1c), low-density lipoprotein (LDL) cholesterol, and systolic blood pressure (SBP) were investigated, together with the evolutions of use of insulin pump (continuous subcutaneous insulin infusion [CSII]), continuous glucose monitoring (CGM), and lipid-lowering and antihypertensive drugs. Association of HbA1c with gender, age, diabetes duration, and technology use was analyzed on the most recent cohort. Results: The study population contained data from 89,834 people with T1D (age 1–80 years). Mean HbA1c decreased from 65 mmol/mol (8.1%) in 2010–2011 to 61 mmol/mol (7.7%) in 2017–2018 ( P < 0.0001, adjusted for gender, age, diabetes duration, and technology use). Respectively, mean LDL cholesterol decreased from 2.45 mmol/L (94.6 mg/dL) to 2.29 mmol/L (88.5 mg/dL) ( P < 0.0001, adjusted for gender, age, and diabetes duration), and mean SBP remained stable. CGM usage increased, whereas the use of CSII and lipid-lowering and antihypertensive drugs remained stable. Gender, age, diabetes duration, and technology use were independently associated with HbA1c. Conclusions: Our real-world data show that metabolic and lipid control improved over time in a system where T1D care is organized through specialized multidisciplinary centers with emphasis on linking education to provision of technology, and its quality is monitored.

The aim of this study was to compare families with a child (2-12 years) with type 1 diabetes (T1D) to families which are not confronted with chronic illness, with regard to children's well-being, parental distress, and parenting behavior. In addition, differences were explored between families whose child has optimal vs suboptimal glycemic control. Mothers, fathers, and children of 105 families with pediatric T1D completed questionnaires assessing child well-being, parental distress, and parenting. The control group consisted of 414 families without chronic illness. With regard to child well-being, children with T1D had more adjustment difficulties (as reported by mothers) and lower quality of life (QoL) (as reported by mothers and fathers), whereas children themselves (8-12 years) reported higher QoL compared to controls. In terms of parental distress, mothers, but not fathers, of children with T1D reported more stress, anxiety symptoms, and depressive symptoms than controls. With regard to parenting behavior, parent reports revealed less protectiveness in fathers and less autonomy support and responsiveness in both parents as compared to controls. No differences were found in parent-reported psychological control between parents of children with and without T1D, but children with T1D perceived lowered parental psychological control. Lastly, secondary analyses indicated that especially families with suboptimal child glycemic control showed more maternal distress and worse child well-being (according to parents). Families confronted with pediatric T1D differ from families without chronic illness: childhood T1D impacts parental perceptions of child well-being and differentially affects mothers' and fathers' distress levels and behaviors.