Influence of glycemic control in sleep status in diabetes mellitus patients type 2 and its related with SNPs of SLC47A2: Intron Variant
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DEPARTMENT OF RADIOLOGY, COLLEGE OF HEALTH AND MEDICAL TECHNOLOGY, UNIVERSITY OF HILLA, BABYLON, IRAQ
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DEPARTMENT OF BIOLOGY, COLLEGE OF SCIENCE, UNIVERSITY OF BABYLON, BABYLON, IRAQ
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BABYLON TECHNICAL INSTITUTE, AL-FURAT AL-AWSAT TECHNICAL UNIVERSITY, BABYLON, IRAQ
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COLLEGE OF DENTISTRY, UNIVERSITY OF HILLA, BABYLON, IRAQ
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NATIONAL CENTER OF HEMATOLOGY, MUSTANSIRIYAH UNIVERSITY, BAGHDAD, IRAQ
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BIOTECHNOLOGY RESEARCH CENTER, AL-NAHRAIN UNIVERSITY, BAGHDAD, IRAQ
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DEPARTMENT OF MEDICAL LABORATORY TECHNIQUES,COLLEGE OF HEALTH AND MEDICAL TECHNOLOGY, AL-FARABI UNIVERSITY,
BAGHDAD, IRAQ
These authors had equal contribution to this work
Submission date: 2025-08-16
Final revision date: 2025-09-29
Acceptance date: 2025-10-26
Publication date: 2025-12-30
Corresponding author
Ahmed Flayyih Hasan
Biotechnology Research Center,, Al-Nahrain University, Baghdad, Iraq., Iraq
Wiadomości Lekarskie 2025;(12):2707-2716
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ABSTRACT
Aim:
the relationship between diabetes mellitus (DM) has an important role in diabetes research in last year, diabetes mellitus.
Material and methods:
a cross sectional study was designed to achieve study goal, glycemic parameters included (fasting blood glucose FBG, glycated protein HbA1c, insulin IN, insulin resistance HOMO-IR and insulin sensitivity IS) were used. .
Results:
the result found that more DM2 patients were enrolled in poor control (43.8%) while the lower percentage in well control (26.3%). The socio-demographic distribution of study cases according to glycemic control groups showed non-significant differences in all study variables (p>0.05), The glycemic parameters and sleep period means differences in the study groups showed significant differences in FBG and HbA1c level among groups (p =0.000), and sleep period was slight decrease in poor control than other group (p =0.741). The study variables showed non-significant difference according to sleep status groups (p>0.05). FBG, IN, homo-IR and IS show non-sig, while HbA1c was significant (p=0.009). the results found that the sleep category coefficients were non-sig (p>0.05), which indicated no strong statistical differences between sleep categories based on the current predictor, on the other hand the threshold values demonstrate that the glycemic control have curtail role in the differentiating sleep categories. The results of SLC47A2 gene are two intronic variants g.
Conclusions:
this study conclude that HbA1c is strong predictor of sleep disturbance, indicated the poor glycemic control is associated with worse quality of sleep, other glycemic parameters didn’t show strong association with sleep