Publications by authors named "Laura Jacobsen"

Article Synopsis
  • The study investigated a glucose fraction that operates independently of insulin secretion in individuals positive for diabetes-related autoantibodies.
  • It utilized data from two major trials, analyzing the relationship between the glucose response and insulin levels through linear regression.
  • Findings revealed that this independent glucose fraction (iAUCGLU) significantly contributes to the rise in blood sugar levels in impaired glucose tolerance and is a stronger predictor for this condition than for type 1 diabetes (T1D).
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Introduction: Altered serum levels of growth hormones, adipokines, and exocrine pancreas enzymes have been individually linked with type 1 diabetes (T1D). We collectively evaluated seven such biomarkers, combined with islet autoantibodies (AAb) and genetic risk score (GRS2), for their utility in predicting AAb/T1D status.

Research Design And Methods: Cross-sectional serum samples (n=154 T1D, n=56 1AAb+, n=77 ≥2AAb+, n=256 AAb-) were assessed for IGF1, IGF2, adiponectin, leptin, amylase, lipase, and trypsinogen (n=543, age range 2.

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Introduction: The immune-mediated destruction of insulin-producing β-cells characterizes type 1 diabetes. Nevertheless, exocrine pancreatic enzymes, including amylase, lipase, and trypsin, are also significantly reduced in type 1 diabetes. With an immunotherapy now approved to treat early-stage type 1 diabetes, biomarkers to delineate response to treatment are needed.

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Introduction This guideline serves as an update to the 2022 International Society for Pediatric and Adolescent Diabetes (ISPAD) consensus guideline on staging for Type 1 Diabetes (T1D). Key additions include an evidence-based summary of recommendations for screening for risk of T1D and monitoring those with early-stage T1D. In addition, a review of clinical trials designed to delay progression to Stage 3 T1D and efforts seeking to preserve beta cell function in those with Stage 3 T1D is included.

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Article Synopsis
  • A disease staging system introduced in 2015 helps identify and track progression to clinical type 1 diabetes based on islet autoantibodies and dysglycaemia, but it has significant limitations such as combining diverse individuals and lacking high specificity.
  • Although the current model suggests a linear progression through stages, real-life progression is often more complex, and factors like age are not considered.
  • With the recent FDA approval of teplizumab to delay type 1 diabetes at stage 2, there's a need to refine diabetes staging definitions and develop a risk calculator that considers a wider range of demographic, genetic, and metabolic data, especially in underrepresented groups.
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Background: Type 1 diabetes (T1D) is more than an insulin-deficiency disease - it is an autoimmune disease, and the field is moving toward adopting disease-modifying immunotherapy as part of clinical care during T1D development.

Summary: Recent successful immunotherapies as well as therapies that missed the mark are reviewed. T cell-directed therapies may allow for the greatest preservation of β cell function but also come with more side effects.

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Given the proven benefits of screening to reduce diabetic ketoacidosis (DKA) likelihood at the time of stage 3 type 1 diabetes diagnosis, and emerging availability of therapy to delay disease progression, type 1 diabetes screening programs are being increasingly emphasized. Once broadly implemented, screening initiatives will identify significant numbers of islet autoantibody-positive (IAb+) children and adults who are at risk for (confirmed single IAb+) or living with (multiple IAb+) early-stage (stage 1 and stage 2) type 1 diabetes. These individuals will need monitoring for disease progression; much of this care will happen in nonspecialized settings.

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Given the proven benefits of screening to reduce diabetic ketoacidosis (DKA) likelihood at the time of stage 3 type 1 diabetes diagnosis, and emerging availability of therapy to delay disease progression, type 1 diabetes screening programmes are being increasingly emphasised. Once broadly implemented, screening initiatives will identify significant numbers of islet autoantibody-positive (IAb) children and adults who are at risk of (confirmed single IAb) or living with (multiple IAb) early-stage (stage 1 and stage 2) type 1 diabetes. These individuals will need monitoring for disease progression; much of this care will happen in non-specialised settings.

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Objective: Mixed-meal tolerance test-stimulated area under the curve (AUC) C-peptide at 12-24 months represents the primary end point for nearly all intervention trials seeking to preserve β-cell function in recent-onset type 1 diabetes. We hypothesized that participant benefit might be detected earlier and predict outcomes at 12 months posttherapy. Such findings would support shorter trials to establish initial efficacy.

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Background And Purpose: Myotonia congenita (MC) is a muscle channelopathy in which pathogenic variants in a key sarcolemmal chloride channel Gene (CLCN1) cause myotonia. This study used muscle magnetic resonance imaging (MRI) to quantify contractile properties and fat replacement of muscles in a Danish cohort of MC patients.

Methods: Individuals with the Thomsen (dominant) and Becker (recessive) variants of MC were studied.

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Context: Metabolic measures are frequently used to predict type 1 diabetes (T1D) and to understand effects of disease-modifying therapies.

Objective: Compare metabolic endpoints for their ability to detect preventive treatment effects and predict T1D.

Methods: Six-month changes in metabolic endpoints were assessed for (1) detecting treatment effects by comparing placebo and treatment arms from the randomized controlled teplizumab prevention trial, a multicenter clinical trial investigating 14-day intravenous teplizumab infusion and (2) predicting T1D in the TrialNet Pathway to Prevention natural history study.

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Objective: Low-dose antithymocyte globulin (ATG) (2.5 mg/kg) preserves C-peptide and reduces HbA1c in new-onset stage 3 type 1 diabetes, yet efficacy in delaying progression from stage 2 to stage 3 has not been evaluated.

Research Design And Methods: Children (n = 6) aged 5-14 years with stage 2 type 1 diabetes received off-label, low-dose ATG.

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Article Synopsis
  • Precision medicine is an evolving approach in healthcare that aims to enhance decision-making and health outcomes, particularly in managing diabetes, which poses serious health risks for millions globally.
  • The second international consensus report on precision diabetes medicine reviews current findings on prevention, diagnosis, treatment, and prognosis across different forms of diabetes, highlighting the potential for translating research into clinical practice.
  • The report also identifies knowledge gaps and sets out key milestones for better clinical implementation, emphasizing the need for standards addressing cost-effectiveness, health equity, and accessibility in treatment options.
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Background: The greatest change in the treatment of people living with type 1 diabetes in the last decade has been the explosion of technology assisting in all aspects of diabetes therapy, from glucose monitoring to insulin delivery and decision making. As such, the aim of our systematic review was to assess the utility of these technologies as well as identify any precision medicine-directed findings to personalize care.

Methods: Screening of 835 peer-reviewed articles was followed by systematic review of 70 of them (focusing on randomized trials and extension studies with ≥50 participants from the past 10 years).

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Previous studies revealed that hemoglobin A1c (HbA1c) increased overall in the United States in the past decade. In addition, health inequities in type 1 diabetes (T1D) outcomes by race/ethnicity and insurance type persist. This study examines the trends in HbA1c from 2016 to 2022 stratified by race/ethnicity and insurance in a large multicenter national database.

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Regular use of continuous glucose monitoring (CGM) in type 1 diabetes management increases the achievement of glycemic targets and reduces health care utilization, specifically emergency department (ED) visits. This retrospective chart review examined the effects of CGM use in patients with type 1 diabetes in a pediatric ED. Use of CGM was associated with several differences in patient management in the ED.

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The proportions and phenotypes of immune cell subsets in peripheral blood undergo continual and dramatic remodeling throughout the human life span, which complicates efforts to identify disease-associated immune signatures in type 1 diabetes (T1D). We conducted cross-sectional flow cytometric immune profiling on peripheral blood from 826 individuals (stage 3 T1D, their first-degree relatives, those with ≥2 islet autoantibodies, and autoantibody-negative unaffected controls). We constructed an immune age predictive model in unaffected participants and observed accelerated immune aging in T1D.

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BACKGROUNDLow-dose anti-thymocyte globulin (ATG) transiently preserves C-peptide and lowers HbA1c in individuals with recent-onset type 1 diabetes (T1D); however, the mechanisms of action and features of the response remain unclear. Here, we characterized the post hoc immunological outcomes of ATG administration and their potential use as biomarkers of metabolic response to therapy (i.e.

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Objective: Metabolic zones were developed to characterize heterogeneity of individuals with islet autoantibodies.

Research Design And Methods: Baseline 2-h oral glucose tolerance test data from 6,620 TrialNet Pathway to Prevention Study (TNPTP) autoantibody-positive participants (relatives of individuals with type 1 diabetes) were used to form 25 zones from five area under the curve glucose (AUCGLU) rows and five area under the curve C-peptide (AUCPEP) columns. Zone phenotypes were developed from demographic, metabolic, autoantibody, HLA, and risk data.

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Skeletal muscle sodium channel disorders give rise to episodic symptoms such as myotonia and/or periodic paralysis. Chronic symptoms with permanent weakness are not considered characteristic of the phenotypes. Muscle fat replacement represents irreversible damage that inevitably will impact on muscle strength.

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This article describes how the T1D Exchange Quality Improvement Collaborative leverages an innovative web platform, the QI Portal, to gather and store electronic medical record (EMR) data to promote benchmarking and population health improvement in a type 1 diabetes learning health system. The authors explain the value of the QI Portal, the process for mapping center-level data from EMRs using standardized data specifications, and the QI Portal's unique features for advancing population health.

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