Application of Machine Learning to Assess Interindividual Variability in Rapid-Acting Insulin Responses After Subcutaneous Injection in People With Type 1 Diabetes.

Eleanor M Coales, Ramzi A Ajjan, Sam M Pearson, Lauren L O'Mahoney, Noppadol Kietsiriroje, Jan Brož, Mel Holmes, Matthew D Campbell

Journal: Canadian journal of diabetes 2022;46(3):225-232.e2

PMID: 35568422

Abstract

OBJECTIVES

Circulating insulin concentrations mediate vascular-inflammatory and prothrombotic factors. However, it is unknown whether interindividual differences in circulating insulin levels are associated with different inflammatory and prothrombotic profiles in type 1 diabetes (T1D). We applied an unsupervised machine-learning approach to determine whether interindividual differences in rapid-acting insulin levels associate with parameters of vascular health in patients with T1D.

METHODS

We re-analyzed baseline pretreatment meal-tolerance test data from 2 randomized controlled trials in which 32 patients consumed a mixed-macronutrient meal and self-administered a single dose of rapid-acting insulin individualized by carbohydrate counting. Postprandial serum insulin, tumour necrosis factor (TNF)-alpha, plasma fibrinogen, human tissue factor (HTF) activity and plasminogen activator inhibitor-1 (PAI-1) were measured. Two-step clustering categorized individuals based on shared clinical characteristics. For analyses, insulin pharmacokinetic summary statistics were normalized, allowing standardized intraindividual comparisons.

RESULTS

Despite standardization of insulin dose, individuals exhibited marked interpersonal variability in peak insulin concentrations (48.63%), time to peak (64.95%) and insulin incremental area under the curve (60.34%). Two clusters were computed: cluster 1 (n=14), representing increased serum insulin concentrations; and cluster 2 (n=18), representing reduced serum insulin concentrations (cluster 1: 389.50±177.10 pmol/L/IU h; cluster 2: 164.29±41.91 pmol/L/IU h; p<0.001). Cluster 2 was characterized by increased levels of fibrinogen, PAI-1, TNF-alpha and HTF activity; higher glycated hemoglobin; increased body mass index; lower estimated glucose disposal rate (increased insulin resistance); older age; and longer diabetes duration (p<0.05 for all analyses).

CONCLUSIONS

Reduced serum insulin concentrations are associated with insulin resistance and a prothrombotic milieu in individuals with T1D, and therefore may be a marker of adverse vascular outcome.

Copyright © 2021 Canadian Diabetes Association. Published by Elsevier Inc. All rights reserved.

Address: School of Food Science and Nutrition, University of Leeds, Leeds, United Kingdom.; Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom.; Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, United Kingdom.; Department of Internal Medicine, Second Faculty of Medicine, Charles University, Prague, Czech Republic.; Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom; School of Nursing and Health Sciences, University of Sunderland, Sunderland, United Kingdom. Electronic address: [email protected].
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