Jayita Basu 1 , Chhanda Datta 2 , Subhankar Chowdhury 3 , Debasmita Mandal 4 , Nandan Kumar Mondal 5 , Amlan Ghosh 1 Show Affiliations »
Abstract
AIMS: Prevalence of gestational diabetes mellitus (GDM) may vary across a country like India. Risk factors and disease-pathogenesis were also not fully elucidated. This study aimed to examine prevalence of GDM among pregnant women visiting antenatal clinic of a tertiary-care hospital of Kolkata, India; possible mechanism of disease pathogenesis and potency of associated parameters as disease biomarkers were also explored. METHODS: 735 pregnant women were screened for GDM according to DIPSI (Diabetes in Pregnancy Study Group India) guideline and risk-factors were analyzed. Case-control study was conducted with 114 GDM and 114 matched non-GDM control. Blood sample was collected before glucose load for complete blood count, measurement of reactive oxygen species (ROS) and assessment of DNA damage. RESULTS: Prevalence of GDM was found to be 17.2%(127/735). Maternal age, diabetic family history and acanthosis nigricans seemed to be important risk factors. Total ROS, lymphocyte DNA damage (measured by comet-assay) and some inflammatory hematological parameters were significantly higher in GDM compared to control. ROS, comet-tail DNA%, WBC, neutrophil-lymphocyte ratio (NLR) and mean platelet volume (MPV) were established as independent determinants of disease condition after adjustment for pre-gestational body mass index. In receiver operating characteristic analysis, ROS>155.7 arbitrary fluorescent unit, NLR>2.12 and MPV>11.05 fL showed 82.5 & 98.2%, 71.9 & 84.2% and 71.9 & 82.5% sensitivity & specificity respectively in disease prediction. CONCLUSIONS: Prevalence of GDM seemed to be high in Kolkata on Indian scenario. Oxidative-stress, related DNA-damage and inflammation seemed to have important contribution in pathogenesis of GDM independent of obesity. ROS, NLR and MPV with respective cut-off scores might be used as diagnostic and prognostic biomarkers for better management of the disease. © Georg Thieme Verlag KG Stuttgart · New York.
AIMS: Prevalence of gestational diabetes mellitus (GDM) may vary across a country like India. Risk factors and disease-pathogenesis were also not fully elucidated. This study aimed to examine prevalence of GDM among pregnant women visiting antenatal clinic of a tertiary-care hospital of Kolkata, India; possible mechanism of disease pathogenesis and potency of associated parameters as disease biomarkers were also explored. METHODS: 735 pregnant women were screened for GDM according to DIPSI (Diabetes in Pregnancy Study Group India) guideline and risk-factors were analyzed. Case-control study was conducted with 114 GDM and 114 matched non-GDM control. Blood sample was collected before glucose load for complete blood count, measurement of reactive oxygen species (ROS ) and assessment of DNA damage. RESULTS: Prevalence of GDM was found to be 17.2%(127/735). Maternal age, diabetic family history and acanthosis nigricans seemed to be important risk factors. Total ROS , lymphocyte DNA damage (measured by comet -assay) and some inflammatory hematological parameters were significantly higher in GDM compared to control. ROS , comet -tail DNA%, WBC, neutrophil-lymphocyte ratio (NLR) and mean platelet volume (MPV) were established as independent determinants of disease condition after adjustment for pre-gestational body mass index. In receiver operating characteristic analysis, ROS >155.7 arbitrary fluorescent unit, NLR>2.12 and MPV>11.05 fL showed 82.5 & ; 98.2%, 71.9 & ; 84.2% and 71.9 & ; 82.5% sensitivity & ; specificity respectively in disease prediction. CONCLUSIONS: Prevalence of GDM seemed to be high in Kolkata on Indian scenario. Oxidative-stress, related DNA-damage and inflammation seemed to have important contribution in pathogenesis of GDM independent of obesity . ROS , NLR and MPV with respective cut-off scores might be used as diagnostic and prognostic biomarkers for better management of the disease. © Georg Thieme Verlag KG Stuttgart · New York.
Entities: Chemical
Disease
Species
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Year: 2018
PMID： 30508848 DOI： 10.1055/a-0794-6057
Source DB: PubMed Journal: Exp Clin Endocrinol Diabetes ISSN： 0947-7349 Impact factor: 2.949