Design of a prospective, longitudinal cohort of people living with type 1 diabetes exploring factors associated with the residual cardiovascular risk and other diabetes-related complications: The SFDT1 study

Riveline, JP; Vergès, Bruno; Detournay, B.; Picard, Sylvie; Py, Benhamou; Bordier, L.; Jeandidier, N.; Joubert, Michaël; Roussel, Ronan; Sola-Gazagnes, A.; Bonnefond, Amélie; Clavel, S.; Velayoudom, FL; Beltrand, Jacques; Hanaire, H.; Fontaine, P.; Thivolet, Charles; Servy, H.; Tubiana, Sarah; Lion, Silvia; Gautier, Jean‐François; Larger, Étienne; Vicaut, Éric; Sablone, Laura; Fagherazzi, Guy; Cosson, E.

doi:10.1016/j.diabet.2021.101306

Cited by 4 publications

(2 citation statements)

References 43 publications

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“…We performed an analysis using data from SFDT1, previously described [19]. In brief, SFDT1 is an ongoing cohort study of people with type 1 diabetes in France attending hospitals or private ambulatory diabetes centres.…”

Section: Study Design and Populationmentioning

confidence: 99%

Heterogeneity of glycaemic phenotypes in type 1 diabetes

Fagherazzi,

Aguayo,

Zhang

et al. 2024

Diabetologia

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Aims/hypothesis Our study aims to uncover glycaemic phenotype heterogeneity in type 1 diabetes. Methods In the Study of the French-speaking Society of Type 1 Diabetes (SFDT1), we characterised glycaemic heterogeneity thanks to a set of complementary metrics: HbA1c, time in range (TIR), time below range (TBR), CV, Gold score and glycaemia risk index (GRI). Applying the Discriminative Dimensionality Reduction with Trees (DDRTree) algorithm, we created a phenotypic tree, i.e. a 2D visual mapping. We also carried out a clustering analysis for comparison. Results We included 618 participants with type 1 diabetes (52.9% men, mean age 40.6 years [SD 14.1]). Our phenotypic tree identified seven glycaemic phenotypes. The 2D phenotypic tree comprised a main branch in the proximal region and glycaemic phenotypes in the distal areas. Dimension 1, the horizontal dimension, was positively associated with GRI (coefficient [95% CI]) (0.54 [0.52, 0.57]), HbA1c (0.39 [0.35, 0.42]), CV (0.24 [0.19, 0.28]) and TBR (0.11 [0.06, 0.15]), and negatively with TIR (−0.52 [−0.54, −0.49]). The vertical dimension was positively associated with TBR (0.41 [0.38, 0.44]), CV (0.40 [0.37, 0.43]), TIR (0.16 [0.12, 0.20]), Gold score (0.10 [0.06, 0.15]) and GRI (0.06 [0.02, 0.11]), and negatively with HbA1c (−0.21 [−0.25, −0.17]). Notably, socioeconomic factors, cardiovascular risk indicators, retinopathy and treatment strategy were significant determinants of glycaemic phenotype diversity. The phenotypic tree enabled more granularity than traditional clustering in revealing clinically relevant subgroups of people with type 1 diabetes. Conclusions/interpretation Our study advances the current understanding of the complex glycaemic profile in people with type 1 diabetes and suggests that strategies based on isolated glycaemic metrics might not capture the complexity of the glycaemic phenotypes in real life. Relying on these phenotypes could improve patient stratification in type 1 diabetes care and personalise disease management. Graphical Abstract

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Section: Study Design and Populationmentioning

confidence: 99%

Heterogeneity of glycaemic phenotypes in type 1 diabetes

Fagherazzi,

Aguayo,

Zhang

et al. 2024

Diabetologia

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“…According to data published by the International Diabetes Federation (IDF) in 2021, approximately 1.2 million people worldwide with T1DM were adolescents and children ( Saeedi et al, 2019 ). The low age and poor cognition of most T1DM patients at the onset of the disease make glycemic control very difficult and complication rates high, seriously jeopardizing the lives and health of patients ( Bruno et al, 2013 ; Katsarou et al, 2017 ; Li et al, 2022 ; Riveline et al, 2022 ). The pathogenesis of T1DM is genetic, and non-genetic factors play an increasingly important role in it ( Christovich and Luo, 2022 ; Zhang et al, 2022c ).…”

Section: Introductionmentioning

confidence: 99%

A bibliometric study of global trends in T1DM and intestinal flora research

Cui,

Wu,

Zhou

et al. 2024

Front. Microbiol.

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BackgroundType 1 diabetes mellitus (T1DM) is a chronic metabolic disease that seriously jeopardizes human physical and mental health and reduces quality of life. Intestinal flora is one of the critical areas of exploration in T1DM research.ObjectiveThis study aims to explore the research hotspot and development trend of T1DM and intestinal flora to provide research direction and ideas for researchers.MethodsWe used the Web of Science (WOS) Core Collection and searched up to 18 November 2023, for articles on studies of the correlation between T1DM and intestinal flora. CiteSpace, VOSviewers and R package “bibliometrix” were used to conduct this bibliometric analysis.ResultsEventually, 534 documents met the requirements to be included, and as of 18 November 2023, there was an upward trend in the number of publications in the field, with a significant increase in the number of articles published after 2020. In summary, F Susan Wong (UK) was the author with the most publications (21), the USA was the country with the most publications (198), and the State University System of Florida (the United States) was the institution with the most publications (32). The keywords that appeared more frequently were T cells, fecal transplants, and short-chain fatty acids. The results of keywords with the most robust citation bursts suggest that Faecalibacterium prausnitzii and butyrate may become a focus of future research.ConclusionIn the future, intestinal flora will remain a research focus in T1DM. Future research can start from Faecalibacterium prausnitzii and combine T cells, fecal bacteria transplantation, and short-chain fatty acids to explore the mechanism by which intestinal flora affects blood glucose in patients with T1DM, which may provide new ideas for the prevention and treatment of T1DM.

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