Dynamic circadian fluctuations of glycemia in patients with type 2 diabetes mellitus.
Circadian rhythm
Continuous glucose monitoring
Diabetes mellitus
Glycemia
Oscillations
Journal
Biological research
ISSN: 0717-6287
Titre abrégé: Biol Res
Pays: England
ID NLM: 9308271
Informations de publication
Date de publication:
02 Dec 2022
02 Dec 2022
Historique:
received:
01
09
2022
accepted:
22
11
2022
entrez:
2
12
2022
pubmed:
3
12
2022
medline:
7
12
2022
Statut:
epublish
Résumé
Diabetes mellitus (DM) has glucose variability that is of such relevance that the appearance of vascular complications in patients with DM has been attributed to hyperglycemic and dysglycemic events. It is known that T1D patients mainly have glycemic variability with a specific oscillatory pattern with specific circadian characteristics for each patient. However, it has not yet been determined whether an oscillation pattern represents the variability of glycemic in T2D. This is why our objective is to determine the characteristics of glycemic oscillations in T2D and generate a robust predictive model. Showed that glycosylated hemoglobin, glycemia, and body mass index were all higher in patients with T2D than in controls (all p < 0.05). In addition, time in hyperglycemia and euglycemia was markedly higher and lower in the T2D group (p < 0.05), without significant differences for time in hypoglycemia. Standard deviation, coefficient of variation, and total power of glycemia were significantly higher in the T2D group than Control group (all p < 0.05). The oscillatory patterns were significantly different between groups (p = 0.032): the control group was mainly distributed at 2-3 and 6 days, whereas the T2D group showed a more homogeneous distribution across 2-3-to-6 days. The predictive model of glycemia showed that it is possible to accurately predict hyper- and hypoglycemia events. Thus, T2D patients exhibit specific oscillatory patterns of glycemic control, which are possible to predict. These findings may help to improve the treatment of DM by considering the individual oscillatory patterns of patients.
Sections du résumé
BACKGROUND
BACKGROUND
Diabetes mellitus (DM) has glucose variability that is of such relevance that the appearance of vascular complications in patients with DM has been attributed to hyperglycemic and dysglycemic events. It is known that T1D patients mainly have glycemic variability with a specific oscillatory pattern with specific circadian characteristics for each patient. However, it has not yet been determined whether an oscillation pattern represents the variability of glycemic in T2D. This is why our objective is to determine the characteristics of glycemic oscillations in T2D and generate a robust predictive model.
RESULTS
RESULTS
Showed that glycosylated hemoglobin, glycemia, and body mass index were all higher in patients with T2D than in controls (all p < 0.05). In addition, time in hyperglycemia and euglycemia was markedly higher and lower in the T2D group (p < 0.05), without significant differences for time in hypoglycemia. Standard deviation, coefficient of variation, and total power of glycemia were significantly higher in the T2D group than Control group (all p < 0.05). The oscillatory patterns were significantly different between groups (p = 0.032): the control group was mainly distributed at 2-3 and 6 days, whereas the T2D group showed a more homogeneous distribution across 2-3-to-6 days.
CONCLUSIONS
CONCLUSIONS
The predictive model of glycemia showed that it is possible to accurately predict hyper- and hypoglycemia events. Thus, T2D patients exhibit specific oscillatory patterns of glycemic control, which are possible to predict. These findings may help to improve the treatment of DM by considering the individual oscillatory patterns of patients.
Identifiants
pubmed: 36461078
doi: 10.1186/s40659-022-00406-1
pii: 10.1186/s40659-022-00406-1
pmc: PMC9716682
doi:
Substances chimiques
Blood Glucose
0
Glucose
IY9XDZ35W2
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
37Subventions
Organisme : Iniciativa ANILLO, ANID
ID : ACT210083
Organisme : fondecyt iniciación, ANID
ID : 11220870
Organisme : Minera Escondida Ltda.
ID : MEL2203
Informations de copyright
© 2022. The Author(s).
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