Anencephaly, a fatal anomaly of the central nervous system, belongs to the group of defects of the neural tube (NTDs). It is considered the most common congenital NTD, characterized by concurrent absence of a significant portion of the brain and cranial vault. This deformity occurs between days 23 and 26 after fertilization due to improper closure of the neural tube at its cranial end. Many genetic, epigenetic, and non-genetic factors (nutritional, environmental and geographical factors, parental socioeconomic status) contribute to the etiology of this disease. Despite significant advances in treatment and preventive measures, NTDs continue to pose a significant health and financial burden on patients and society as a whole. This study aimed to examine the incidence of anencephaly in Slovakia compared to the Czech Republic between 2012 and 2020. The authors seek to elucidate the reasons behind the higher incidence of this disease in Slovakia as compared to the Czech Republic, explore the male predominance of anencephaly in Slovakia, and investigate whether the prevention standards used in Slovakia differ from those employed in other countries (Tab. 1, Fig. 2, Ref. 129). Keywords: neural tube defects, anencephaly, risk factors, folic acid, food fortification.
- MeSH
- anencefalie * epidemiologie prevence a kontrola MeSH
- embryonální vývoj MeSH
- incidence MeSH
- lidé MeSH
- rizikové faktory MeSH
- těhotenství MeSH
- Check Tag
- lidé MeSH
- mužské pohlaví MeSH
- těhotenství MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Česká republika MeSH
- Slovenská republika MeSH
The study aimed to evaluate if the monitoring of advanced glycation end products (AGEs), advanced oxidation protein products (AOPP), lipoperoxides (LPO) and interleukin-6 (IL-6) in plasma could help to predict development of diabetic complications (DC). Clinical and biochemical parameters including AGEs, AOPP, LPO and IL-6 were investigated in patients with type 2 diabetes mellitus (DM2) with (+DC) and without (-DC) complications. AGEs were significantly higher in both diabetic groups compared to controls. AGEs were also significantly higher in group +DC compared to -DC. AGEs significantly correlated with HbA1c. We observed significantly higher AOPP in both diabetic groups in comparison with controls, but the difference between -DC and +DC was not significant. LPO significantly correlated with BMI. IL-6 were significantly increased in both diabetic groups compared to controls, but the difference between -DC and +DC was not significant. There was no significant correlation between IL-6 and clinical and biochemical parameters. These results do not exclude the association between IL-6 and onset of DC. We suggest that the measurement of not only HbA1c, but also AGEs may be useful to predict the risk of DC development in clinical practice. Furthermore, the measurement of IL-6 should be studied as adjunct to HbA1c monitoring.
- MeSH
- biologické markery krev MeSH
- diabetes mellitus 2. typu krev komplikace imunologie MeSH
- diabetické angiopatie krev etiologie MeSH
- glykovaný hemoglobin metabolismus MeSH
- interleukin-6 krev MeSH
- lidé středního věku MeSH
- lidé MeSH
- lipidové peroxidy krev MeSH
- oxidační stres MeSH
- produkty pokročilé glykace krev MeSH
- produkty pokročilé oxidace proteinů krev MeSH
- senioři MeSH
- studie případů a kontrol MeSH
- Check Tag
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
Úvod: Abnormality v metabolizme lipidov výrazne prispievajú k zvýšenému výskytu kardiovaskulárnych príhod u osôb s DM1T v porovnaní so zdravými jedincami. Porucha metabolizmu lipidov pri diabete 1. typu je výrazne závislá od udržiavania hodnoty glykémie blízko fyziologického rozmedzia. Štúdia DCCT potvrdila, že pacienti s dobre kompenzovaným DM1T majú podobné lipidové spektrum ako zdraví jedinci. Cieľ: Cieľom práce bolo preskúmať u 30 pacientov s DM1T s dobrou dlhodobou glykemickou kompenzáciou vzťahy parametrov lipidového profilu (cholesterol s vysokou hustotou HDL, cholesterol s nízkou hustotou LDL, celkový cholesterol – TC, triacylglyceroly – TAG) k veku, trvaniu DM1T, glykémii, HbA1c a k hodnotám krvného tlaku (TK), BMI korigovanému na vek (BMIc) a denným dávkam inzulínu na kg hmotnosti (DI) a tiež stanoviť matematické modely závislosti týchto parametrov od glykemickej kompenzácie, veku, trvania DM1T, krvného tlaku systolického a diastolického (sTK, resp. dTK), BMIc a DI. Výsledky: Hodnoty HbA1c boli signifikantne vyššie u diabetikov v porovnaní s kontrolami (p < 0,01), HDL boli vyššie u diabetikov ako u kontrol (rozdiel nie je signifikantný). LDL boli u diabetikov podobné ako u kontrol. TAG boli signifikantne nižšie u diabetikov ako u kontrol (p < 0,01). HDL signifikantne pozitívne koreluje s HbA1c (r = 0,372; p < 0,05), negatívne s sTK (r = –0,373, p < 0,05), TAG s vekom (r = 0,546, p < 0,01), trvaním DM1T (r = 0,577, p < 0,001) a s sTK (r = 0,407, p < 0,05). Našli sme tiež štatisticky vhodné matematické modely vzťahu HDL a TAG so sledovanými parametrami: vek, trvanie DM1T, glykémia, HbA1c, TK, BMIc, DI (r = 0,785; r2 = 0,616; p < 0,01; resp. r = 0,758; r2 = 0,574; p < 0,05). Záver: Na zmeny v hodnotách HDL a TAG u mladých diabetikov má významný vplyv najmä dlhodobá glykemická kompenzácia a inzulínová terapia.
Introduction: Abnormalities in lipid metabolism contribute significantly to the increased occurrence of cardiovascular events in individuals with T1DM compared to healthy subjects. Disorder of lipid metabolism in T1DM is heavily dependent on maintaining of blood glucose values near the physiological range. DCCT study confirmed that patients with well compensated diabetes have similar lipid spectrum to the healthy subjects one. Aims: We aimed to study relations of lipid profile parameters (cholesterol of high density HDL, cholesterol of low density LDL, total cholesterol - TC, triglycerides - TAG) to age, duration of T1DM (DD), blood glucose, HbA1c and if the blood pressure (BP), BMI corrected for age (BMIc) and daily insulin doses per kilogram (DI) in 30 patients with T1DM with good long-term glycemic compensation. We aimed also to find mathematical models of lipid profile parameters dependence of the parameters of glycemic control, age, duration of DM1T, blood pressure (systolic and diastolic BPs, BPd, respectively) BMIc and DI. Results: HbA1c levels were significantly higher in diabetic patients compared to controls (p < 0.01), HDL were higher in diabetics than in controls (not significantly). LDL levels were in diabetics similar to controls. TAG was significantly lower in diabetics than in controls (p < 0.01). HDL significantly positively correlated with HbA1c (r = 0.372, p < 0.05) and negatively with BPs (r = -0.373, p < 0.05), TAG correlated with age (r = 0.546, p < 0.01), DD (r = 0.577, p < 0.001) and BPs (r = 0.407, p < 0.05). We also found a statistically appropriate mathematical models of the relationship of HDL and TAG with the parameters: age, DD, glucose, HbA1c, BP, BMIc, DI (r = 0.785, r2 = 0.616, p < 0.01, R = 0.758; r2 = 0.574, p < 0.05, respectively). Conclusion: The changes in HDL and TAG values in juvenile diabetics are significantly affected by particularly long-term glycemic control and insulin therapy.
The authors aimed to evaluate if the monitoring of serum advanced glycation end-products (s-AGEs) could help to predict a development of diabetic complications. Clinical and biochemical parameters including fructosamine (FAM), glycated hemoglobin (HbA1c) and serum AGEs were investigated in children and adolescents with 1 type diabetes with (+DC) and without (–DC) complications. FAM levels (in mmol/l) were significantly elevated in +DC diabetic group compared to –DC one (3.043±0.459 vs. 2.614±0.430; p<0.001) or to controls (3.043±0.459 vs. 1.620±0.340; p<0.001) as well as in –DC compared to controls (2.614±0.430 vs. 1.620±0.340; p<0.001). HbA1c (in %) were significantly elevated in +DC diabetic group compared to –DC one (10.48±1.83 vs. 8.41±1.19; p<<0.001) or to controls (10.48±1.83 vs. 5.0±0.38, p<<0.001) and also in –DC compared to controls (8.41±1.19 vs. 5.0±0.38; p<0.001). Serum AGEs levels (in A. U.) were significantly higher in +DC group than in – DC (73.0±14.09 vs. 65.8±9.05; p<0.05) and in group +DC than in controls (73.0±14.09 vs. 60.17±13.78; p<0.05), whereas there was no difference between –DC and controls. FAM correlated with HbA1c in both diabetic groups (+DC: r=0.374; p<0.05; –DC: r=0.719; p<0.001), but not in controls. Serum AGEs were correlated with HbA1c (r=0.478; p=0.003) in +DC, but not in –DC or controls. Enhanced serum AGEs levels show that they could be not only an attendant phenomenon of microangiopathies, but also a predictor of their development.
- MeSH
- diabetes mellitus 1. typu komplikace MeSH
- diabetické angiopatie krev MeSH
- dítě MeSH
- financování organizované MeSH
- fruktosamin krev MeSH
- glykosylace MeSH
- glykovaný hemoglobin metabolismus MeSH
- kapilární permeabilita fyziologie MeSH
- krevní glukóza metabolismus MeSH
- lidé MeSH
- mladiství MeSH
- mladý dospělý MeSH
- produkty pokročilé glykace krev MeSH
- Check Tag
- dítě MeSH
- lidé MeSH
- mladiství MeSH
- mladý dospělý MeSH
A new procedure was developed to determine in urine the concentrations of N(epsilon)-(carboxymethyl)lysine (CML) and N(epsilon)-(carboxyethyl)lysine (CEL), the major products of oxidative modification of glycated proteins, to assess levels of oxidative stress in physiological systems. The urine samples were acetonitrile-deproteinized, then derivatized by ethylchloroformate, and N(O,S)-ethoxycarbonyl ethyl esters of amino acids were analysed by isotope dilution gas chromatography/mass spectrometry. Recovery averaged 89%. Linearity was excellent (r = 0.998-0.999) in the 0.5-25 micromol/L range for CML and CEL. The limit of detection of this assay was 0.1 micromol/L (corresponding to 0.20 pmol of CML or CEL on column). Intra-day and inter-day precisions were likewise excellent, with relative standard deviations <4.63 and <6.15%, respectively. Accuracy of CML and CEL determination (15 micromol/L) was 2.9 and 5.9% of the estimated theoretical value. The time from obtaining the urine sample to determination of the concentration from the chromatographic peak was 80 min or less. This method is sensitive, reproducible, accurate, relatively cheap and very simple. It can be useful for laboratories involved in the diagnosis and monitoring of age-related chronic diseases.
- MeSH
- diabetes mellitus 1. typu metabolismus MeSH
- dítě MeSH
- glykosylace MeSH
- lidé MeSH
- Check Tag
- dítě MeSH
- lidé MeSH
- Klíčová slova
- PYRIDORIN'TM',
- MeSH
- arterioskleróza patologie MeSH
- diabetes mellitus farmakoterapie metabolismus MeSH
- diabetické angiopatie etiologie metabolismus MeSH
- finanční podpora výzkumu jako téma MeSH
- hyperglykemie komplikace metabolismus MeSH
- komplikace diabetu MeSH
- lidé MeSH
- oxidační stres MeSH
- produkty pokročilé glykace antagonisté a inhibitory chemie metabolismus MeSH
- receptory buněčného povrchu genetika imunologie MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- přehledy MeSH
- MeSH
- diabetes mellitus 1. typu metabolismus MeSH
- dítě MeSH
- finanční podpora výzkumu jako téma MeSH
- lidé MeSH
- metabolismus sacharidů MeSH
- peroxidace lipidů genetika MeSH
- sacharidy MeSH
- Check Tag
- dítě MeSH
- lidé MeSH
- Publikační typ
- kongresy MeSH
