Petra Lukášová

Dr. Petra Lukášová

orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 September 2020 in Physiological Research
Verified
Journal Article
Open access
DVDaniela Vejrazkova
Daniela Vejrazkova
MVMarkéta Vaňková
Markéta Vaňková
PLPetra Lukášová
Petra Lukášová
JVJosef Vcelak
Josef Vcelak
BBBela Bendlova
Bela Bendlova
Current knowledge suggests a complex role of C-peptide in human physiology, but its mechanism of action is only partially understood. The effects of C-peptide appear to be variable depending on the target tissue, physiological environment, its combination with other bioactive molecules such as insulin, or depending on its concentration. It is apparent that C-peptide has therapeutic potential for the treatment of vascular and nervous damage caused by type 1 or late type 2 diabetes mellitus. The question remains whether the effect is mediated by the receptor, the existence of which is still uncertain, or whether an alternative non-receptor-mediated mechanism is responsible. The Institute of Endocrinology in Prague has been paying much attention to the issue of C-peptide and its metabolic effect since the 1980s. The RIA methodology of human C-peptide determination was introduced here and transferred to commercial production. By long-term monitoring of C-peptide oGTT-derived indices, the Institute has contributed to elucidating the pathophysiology of glucose tolerance disorders. This review summarizes the current knowledge of C-peptide physiology and highlights the contributions of the Institute of Endocrinology to this issue.

1 April 2016 in The Journal of Steroid Biochemistry and Molecular Biology
Verified
Journal Article
Closed access
MVMarkéta Vaňková
Markéta Vaňková
Martin HillMartin Hill
Martin Hill
MVMarta Velíková
Marta Velíková
JVJosef Vcelak
Josef Vcelak
GVGabriela Vacínová
Gabriela Vacínová
LSLuboslav Stárka
Luboslav Stárka

1 January 2014 in International Journal of Endocrinology
Verified
Journal Article
Open access
PDF file
DVDaniela Vejrazkova
Daniela Vejrazkova
PLPetra Lukášová
Petra Lukášová
MVMarkéta Vaňková
Markéta Vaňková
JVJosef Vcelak
Josef Vcelak
OBOlga Bradnova
Olga Bradnova
BBBela Bendlova
Bela Bendlova
The geneMTNR1Bencodes a receptor for melatonin. Melatonin receptors are expressed in humanβ-cells, which implies that genetic variants might affect glucose tolerance. Meta-analysis confirmed that the rs10830963 shows the most robust association. The aim of the study was to assess the rs10830963 in Czech GDM patients and controls and to study relations between the SNP and biochemical as well as anthropometric characteristics. Our cohort consisted of 880 women; 458 were diagnosed with GDM, and 422 were normoglycemic controls without history of GDM. Despite similar BMI, the GDM group showed higher WHR, waist circumference, abdominal circumference, and total body fat content. The risk allele G was more frequent in the GDM group (38.3 versus 29.4% in controls, OR 1.49 CI95% [1.22; 1.82];POR=0.0001). In spite of higher frequency, the G allele in the GDM group was not associated with any markers of glucose metabolism. In contrast, controls showed significant association of the allele G with FPG and with postchallenge glycemia during the oGTT. Frequency analysis indicates that rs10830963 is involved in gestational diabetes in Czech women. However, the association of the SNP with glucose metabolism, which is obvious in controls, is covert in women who have experienced GDM.

25 April 2023 in Biomedicines
Verified
Journal Article
Open access
PDF file
DVDaniela Vejrazkova
Daniela Vejrazkova
MVMarkéta Vaňková
Markéta Vaňková
PLPetra Lukášová
Petra Lukášová
Martin HillMartin Hill
Martin Hill
JVJosef Vcelak
Josef Vcelak
BBBela Bendlova
Bela Bendlova
The shape of the glycemic curve during the oral glucose tolerance test (OGTT), interpreted in the correct context, can predict impaired glucose homeostasis. Our aim was to reveal information inherent in the 3 h glycemic trajectory that is of physiological relevance concerning the disruption of glycoregulation and complications beyond, such as components of metabolic syndrome (MS). Methods: In 1262 subjects (1035 women, 227 men) with a wide range of glucose tolerance, glycemic curves were categorized into four groups: monophasic, biphasic, triphasic, and multiphasic. The groups were then monitored in terms of anthropometry, biochemistry, and timing of the glycemic peak. Results: Most curves were monophasic (50%), then triphasic (28%), biphasic (17.5%), and multiphasic (4.5%). Men had more biphasic curves than women (33 vs. 14%, respectively), while women had more triphasic curves than men (30 vs. 19%, respectively) (p < 0.01). Monophasic curves were more frequent in people with impaired glucose regulation and MS compared to bi-, tri-, and multiphasic ones. Peak delay was the most common in monophasic curves, in which it was also most strongly associated with the deterioration of glucose tolerance and other components of MS. Conclusion: The shape of the glycemic curve is gender dependent. A monophasic curve is associated with an unfavorable metabolic profile, especially when combined with a delayed peak.

1 January 2008 in Physiological Research
Verified
Journal Article
Closed access
PLPetra Lukášová
Petra Lukášová
JVJ Včelák
J Včelák
MVMarkéta Vaňková
Markéta Vaňková
DVDaniela Vejrazkova
Daniela Vejrazkova
KAK Andělová
K Andělová
BBB Bendlová
B Bendlová
Glucokinase (GCK) plays a key role in glucose metabolism. GCK mutations are known as a pathogenic cause of maturity-onset diabetes of the young type 2 (MODY2). These mutations are also found in gestational diabetics. The aim of our study was to assess the variability of the GCK gene in the Czech diabetic and control populations. We screened all 10 exons specific for the pancreatic isoform of glucokinase (1a and 2-10) including the intron flanking regions in 722 subjects (in 12 patients with an unrecognised type of MODY and their 10 family members, 313 patients with diabetes mellitus type 2 (DM2), 141 gestational diabetics (GDM), 130 healthy offspring of diabetic parents, and 116 healthy controls without family history of DM2). In two MODY families we identified two mutations in exon 2 of the GCK gene: a novel mutation Val33Ala and the previously described mutation Glu40Lys. In other subgroups (excluding MODY families) we detected only intronic variants and previously described polymorphisms in exons 6 (Tyr215Tyr) and 7 (Ser263Ser), we did not find any known GCK pathogenic mutation. We observed no difference in the frequencies of GCK polymorphisms between Czech diabetic (DM2, GDM) and non-diabetic populations.

Verified
Journal Article
Open access
PDF file
MVMarkéta Vaňková
Markéta Vaňková
MVMarta Velíková
Marta Velíková
DVDaniela Vejrazkova
Daniela Vejrazkova
JVJosef Vcelak
Josef Vcelak
PLPetra Lukášová
Petra Lukášová
Martin HillMartin Hill
Martin Hill
Epidemiological studies suggest an association between Alzheimer’s disease (AD) and type 2 diabetes mellitus (T2DM). This study aimed to investigate the pathophysiological markers of AD vs. T2DM for each sex separately and propose models that would distinguish control, AD, T2DM, and AD-T2DM comorbidity groups. AD and T2DM differed in levels of some circulating steroids (measured mostly by GC-MS) and in other observed characteristics, such as markers of obesity, glucose metabolism, and liver function tests. Regarding steroid metabolism, AD patients (both sexes) had significantly higher sex hormone binding globulin (SHBG), cortisol, and 17-hydroxy progesterone, and lower estradiol and 5α-androstane-3α,17β-diol, compared to T2DM patients. However, compared to healthy controls, changes in the steroid spectrum (especially increases in levels of steroids from the C21 group, including their 5α/β-reduced forms, androstenedione, etc.) were similar in patients with AD and patients with T2DM, though more expressed in diabetics. It can be assumed that many of these steroids are involved in counter-regulatory protective mechanisms that mitigate the development and progression of AD and T2DM. In conclusion, our results demonstrated the ability to effectively differentiate AD, T2DM, and controls in both men and women, distinguish the two pathologies from each other, and differentiate patients with AD and T2DM comorbidities.