Aging of glucose profiles in an adult population without diabetes

Pazos-Couselo, Marcos; Portos-Regueiro, Cristina; González-Rodríguez, María; García-López, José Manuel; Alonso-Sampredro, Manuela; Rodríguez-González, Raquel; Fernández-Merino, Carmen; Gudé, Francisco

doi:10.1016/j.diabres.2022.109929

Cited by 6 publications

(3 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The AEGIS study database is one of the few population-based epidemiological studies using CGM technology in a random sample of a general population composed of normoglycemic, prediabetic, and diabetic patients. The use of continuous glucose monitoring in healthy populations 11 , 35 – 39 is topic of growing interest due to its multiple applications in epidemiological studies 17 , 38 or diet optimization 40 , 41 . Therefore, our research is fundamental as it provides new information about the reproducibility of CGM with non-diabetic patients and uses the raw time series recorded by the CGM device as a richer piece of information.…”

Section: Discussionmentioning

confidence: 99%

Reproducibility of continuous glucose monitoring results under real-life conditions in an adult population: a functional data analysis

Matabuena,

Pazos-Couselo,

Alonso-Sampedro

et al. 2023

Sci Rep

Self Cite

View full text Add to dashboard Cite

Continuous glucose monitoring systems (CGM) are a very useful tool to understand the behaviour of glucose in different situations and populations. Despite the widespread use of CGM systems in both clinical practice and research, our understanding of the reproducibility of CGM data remains limited. The present work examines the reproducibility of the results provided by a CGM system in a random sample of a free-living adult population, from a functional data analysis approach. Functional intraclass correlation coefficients (ICCs) and their 95% confidence intervals (CI) were calculated to assess the reproducibility of CGM results in 581 individuals. 62% were females 581 participants (62% women) mean age 48 years (range 18–87) were included, 12% had previously been diagnosed with diabetes. The inter-day reproducibility of the CGM results was greater for subjects with diabetes (ICC 0.46 [CI 0.39–0.55]) than for normoglycaemic subjects (ICC 0.30 [CI 0.27–0.33]); the value for prediabetic subjects was intermediate (ICC 0.37 [CI 0.31–0.42]). For normoglycaemic subjects, inter-day reproducibility was poorer among the younger (ICC 0.26 [CI 0.21–0.30]) than the older subjects (ICC 0.39 [CI 0.32–0.45]). Inter-day reproducibility was poorest among normoglycaemic subjects, especially younger normoglycaemic subjects, suggesting the need to monitor some patient groups more often than others.

show abstract

Section: Discussionmentioning

confidence: 99%

Reproducibility of continuous glucose monitoring results under real-life conditions in an adult population: a functional data analysis

Matabuena,

Pazos-Couselo,

Alonso-Sampedro

et al. 2023

Sci Rep

Self Cite

View full text Add to dashboard Cite

show abstract

“…Therefore, recent studies have shown the need for using other types of glycemic measurements that we can obtain with the CGM data, such as TIR. TIR is strongly associated with the risk of microvascular complications and should be an acceptable endpoint for clinical trials ( 12 , 14 , 47 ).…”

Section: Discussionmentioning

confidence: 99%

Time above range for predicting the development of type 2 diabetes

Marco

Pazos-Couselo

Moreno-Fernández

et al. 2022

Front. Public Health

Self Cite

View full text Add to dashboard Cite

AimTo investigate the prognostic value of time range metrics, as measured by continuous glucose monitoring, with respect to the development of type 2 diabetes (T2D).Research design and methodsA total of 499 persons without diabetes from the general population were followed-up for 5 years. Time range metrics were measured at the start and medical records were checked over the period study.ResultsTwenty-two subjects (8.3 per 1,000 person-years) developed T2D. After adjusting for age, gender, family history of diabetes, body mass index and glycated hemoglobin concentration, multivariate analysis revealed 'time above range' (TAR, i.e., with a plasma glucose concentration of >140 mg/dL) to be significantly associated with a greater risk (OR = 1.06, CI 1.01–1.11) of developing diabetes (AUC = 0.94, Brier = 0.035).ConclusionsTime above range provides additional information to that offered by glycated hemoglobin to identify patients at a higher risk of developing type 2 diabetes in a population-based study.

show abstract

“…There are three types of diabetes: type 1 Mellitus (T1DM), type 2 Mellitus (T2DM), and gestational diabetes. Here we consider comorbidities in T2DM, considered the most common category of diabetes mellitus [11,12,13,14,15]. T2DM is a complex metabolic disorder characterised by a progressive loss of b-cell insulin secretion, causing hyperglycemia against a background of insulin resistance.…”

Section: Introductionmentioning

confidence: 99%

Analysis of age-dependent gene-expression in human tissues for diabetes comorbidities.

Guzzi¹,

Cortese²,

Mannino³

et al. 2023

Preprint

View full text Add to dashboard Cite

The study of the relations of type 2 diabetes mellitus (T2DM) disease with other pathologies (comorbidities) together with patient age variation poses a challenge for medical research. There is evidence that patients affected by T2DM are more likely to develop comorbidities as they grow older. Variation of gene expression can be related to changes in T2DM comorbidities insurgence and progression. Understanding gene expression changes requires the analysis of large heterogeneous data at different scale as well as the integration of different data sources into network medicine models. Hence, we designed a framework to shed light on uncertainties related to age effects and comorbidity by integrating existing data sources with novel algorithms. The framework is based on the integration and analysis of existing data sources under the hypothesis that changes in the basal expression of genes may be responsible of the higher prevalence of comorbidities in older patients. Using the proposed framework, we selected genes related to comorbidities from existing databases, then analysed their expression with age at the tissues level. We found a set of genes that changes significantly in certain specific tissues over time. We also reconstructed the associated protein interaction networks and the related pathways for each tissue. Using this mechanistic framework we detected interesting pathways related to T2DM whose genes change their expression with age. We also found many pathways related to insulin regulation and brain activities, which can be used to develop specific therapies. To the best of our knowledge, this is the first study that analyses such genes at the tissue level together with age variations.

show abstract

Aging of glucose profiles in an adult population without diabetes

Cited by 6 publications

References 32 publications

Reproducibility of continuous glucose monitoring results under real-life conditions in an adult population: a functional data analysis

Reproducibility of continuous glucose monitoring results under real-life conditions in an adult population: a functional data analysis

Time above range for predicting the development of type 2 diabetes

Analysis of age-dependent gene-expression in human tissues for diabetes comorbidities.

Contact Info

Product

Resources

About