scholarly journals Perinatal changes in plasma of type 2 diabetes mellitus pregnancies who delivered newborns with cardiomyopathy, depression of the central nervous system, or hepatomegaly

Author(s):  
Arthur T. Kopylov ◽  
Olga Papysheva ◽  
Iveta Gribova ◽  
Anna L. Kaysheva ◽  
Galina Kotaysch ◽  
...  

Abstract Background Maternal diabetes either pregestational or gestational is the main risk factor contributing in development of diabetic fetopathy (DF) in newborns. There are no generalized signs of DF up to late gestational age due to insufficient sensitivity of the currently employed instrumental methods for diagnosis. Methods This is a cross-sectional prospective controlled study. Here, we reported proteomic investigation for several cases of severe types of diabetic fetopathy (cardiomyopathy (CRDM, n = 37), central nervous system depression (CNSD, n = 35) and hepatomegaly (HPMG, n = 35)) diagnosed during 30–35 gestational weeks and confirmed upon delivery by from patients with type 2 diabetes mellitus (T2DM). Control groups were comprised from women in whom T2DM had been ruled out (n = 40) and group of pregnancies with T2DM who delivered healthy newborns (n = 40). Results We found a composition of serum-based non-trivial markers capable that are strongly associated with the certain type of fetopathy or anatomical malfunctions in the affected newborns. Significant impact on mRNA splicing and DNA reparation has been determined by emerging alterations in CDCL5. Patients of CNSD groups were characterized by utmost depletion (ca. 7% of baseline) of DFP3 neurotrophic factor needed for the proper specialization of cardiomyocytes and oligodendrocytes. Corrupted regulation of non-canonical Wnt-signaling guided by PEDF (in CNSD and HPMG groups) and DAAM2 (in CRDM and HPMG groups) was also proposed. In addition, deficiency in retinoic acid and thyroxine transport was revealed by dramatic increase of TTHY in CNDS group. Conclusions We examined peripheral blood plasma and determined a small proportion of proteins indicating the pre-existing signs of DF. Most of the examined markers are participants of critical processes at different stages of embryogenesis and regulate various phases of morphogenesis. There are proteins regulating splicing and DNA repair, differentiation of neurons and their switching to the post-mitotic state. Therefore, reconstruction of the molecular interplay between the defined in proteins is decisive to appreciate cryptic violations in fetal development on the background of diabetic conditions

2010 ◽  
Vol 1 (1) ◽  
pp. 31 ◽  
Author(s):  
PeterJ Jannetta ◽  
LynnH Fletcher ◽  
PeterM Grondziowski ◽  
KennethF Casey ◽  
RaymondF Sekula

2020 ◽  
Vol 40 (4) ◽  
pp. 1499-1511
Author(s):  
José Alfredo Padilla Medina ◽  
Carlos Alonso Herrera Ramírez ◽  
Luz María Cardona Torres ◽  
Delia Angélica Galicia Reséndiz ◽  
Juan Prado Olivares ◽  
...  

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 2393-PUB
Author(s):  
KENICHIRO TAKAHASHI ◽  
MINORI SHINODA ◽  
RIKA SAKAMOTO ◽  
JUN SUZUKI ◽  
TADASHI YAMAKAWA ◽  
...  

2017 ◽  
pp. 35-44
Author(s):  
Dinh Toan Nguyen

Background: Studies show that diabetes mellitus is the greatest lifestyle risk factor for dementia. Appropriate management and treatment of type 2 diabetes mellitus could prevent the onset and progression of mild cognitive impairment to dementia. MoCA test is high sensitivity with mild dementia but it have not been used and studied widespread in Vietnam. Aim: 1. Using MoCA and MMSE to diagnose dementia in patients with type 2 diabetes mellitus. 2. Assessment of the relationship between dementia and the risk factors. Methods: cross-sectional description in 102 patients with type 2 diabetes mellitus. The Mini-Mental State Examination(MMSE) and the Montreal Cognitive Assessment (MoCA) were used to assess cognitive function. The diagnosis of dementia was made according to Diagnostic and Statistical Manual of Mental Disorders. Results: The average value for MoCA in the group of patients with dementia (15.35 ± 2.69) compared with non-dementia group (20.72 ± 4.53). The sensitivity and specificity of MoCA were 84.8% and 78.3% in identifying individuals with dementia, and MMSE were 78.5% and 82.6%, respectively. Using DSMIV criteria as gold standard we found MoCA and MMSE were more similar for dementia cases (AUC 0.871 and 0.890). The concordance between MoCA and MMSE was moderate (kappa = 0.485). When considering the risk factors, the education,the age, HbA1c, dyslipidemia, Cholesterol total related with dementia in the type 2 diabetes. Conclusion: MoCA scale is a good screening test of dementia in patients with type 2 diabetes mellitus.When compared with the MMSE scale, MoCA scale is more sensitive in detecting dementia. Key words: MoCA, dementia, type 2 diabetes mellitus, risk factors


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