Effects of Long Duration Cycling in People With Type 1 Diabetes

Summary

The goal of this interventional study is to build a high quality, real world multimodal dataset that combines continuous glucose monitoring (CGM), wearable and fitness data, performance metrics, and saliva and urine omics collected during a prolonged, moderate intensity outdoor gravel-cycling session in adults with type 1 diabetes (T1D).

The main questions it aims to answer are:

* Can we collect and synchronize comprehensive CGM, physiological, performance, and omics data around a single cycling session to enable further artificial intelligence (AI) model development?
* What molecular changes in saliva and urine occur during exercise, and how do they relate to glycemic outcomes?

Participants will:

* Complete a supervised \~75 km gravel-cycling route at their own pace under real-world conditions, without protocolized therapy adjustments.
* Wear a Dexcom G7 starting \~4 days before the ride and continue through the sensor lifespan to capture CGM data.
* Provide saliva and urine immediately before and after the ride for epigenomic and proteomic analyses.

This study will generate an integrated resource that supports the development and validation of AI models for predicting glucose responses to exercise in T1D and will help guide future studies on how prolonged exercise affects glucose control.

Conditions

• Type 1 Diabetes (T1D)

Interventions

BEHAVIORAL

Prolonged moderate-intensity cycling session

One single outdoor gravel ride (\~75km) performed at a comfortable, sustainable intensity appropriate for each participant. The protocol does not prescribe specific speed, power, or heart-rate targets. Safety monitoring and on-route support will be provided to participants.

Sponsors & Collaborators

• University Hospital of Girona Dr. Josep Trueta

  collaborator NETWORK

• Universitat de Girona

  lead OTHER

Principal Investigators

• Eduardo Esteve · University Hospital of Girona Dr. Josep Trueta

• Josep Vehi · Universitat de Girona

• Anna Prats · Escola Universitària de la Salut i l'Esport

• Aleix Beneyto · Universitat de Girona

Study Design

Allocation

NON_RANDOMIZED

Purpose

BASIC_SCIENCE

Masking

NONE

Model

PARALLEL

Eligibility

Min Age

18 Years

Max Age

60 Years

Sex

ALL

Healthy Volunteers

Yes

Timeline & Regulatory

Start

2025-11-22

Primary Completion

2025-12-31

Completion

2025-12-31

Countries

• Spain

Study Locations