Quantifying insulin-mediated and noninsulin-mediated changes in glucose dynamics during resistance exercise in type 1 diabetes

Author:

Young Gavin M.1ORCID,Jacobs Peter G.1,Tyler Nichole S.2,Nguyen Thanh-Tin P.2,Castle Jessica R.3,Wilson Leah M.3ORCID,Branigan Deborah3,Gabo Virginia2,Guillot Florian H.2ORCID,Riddell Michael C.4,El Youssef Joseph3ORCID

Affiliation:

1. Artificial Intelligence for Medical Systems (AIMS) Laboratory, Department of Biomedical Engineering, Oregon Health & Science University, Portland, Oregon, United States

2. School of Medicine, Oregon Health & Science University, Portland, Oregon, United States

3. Division of Endocrinology, Harold Schnitzer Diabetes Health Center, Oregon Health & Science University, Portland, Oregon, United States

4. School of Kinesiology and Health Science, York University, Toronto, Ontario, Canada

Abstract

Aerobic exercise is known to cause decreases in blood glucose secondary to increased glucose utilization in people living with type 1 diabetes (T1D). However, less is known about how resistance-type exercise impacts glucose dynamics. Twenty-five participants with T1D performed in-clinic weight-bearing exercises under a glucose clamp. Mathematical modeling of infused glucose tracer allowed for quantification of the rate of hepatic glucose production as well as rates of insulin-mediated and noninsulin-mediated glucose uptake experienced during resistance exercise.

Funder

HHS | NIH | National Center for Advancing Translational Sciences

HHS | NIH | NIDDK | Division of Diabetes, Endocrinology, and Metabolic Diseases

Publisher

American Physiological Society

Subject

Physiology (medical),Physiology,Endocrinology, Diabetes and Metabolism

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Digital twins and artificial intelligence in metabolic disease research;Trends in Endocrinology & Metabolism;2024-06

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