Anna Wajda

Dr. Anna Wajda

orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

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

Representative Publications

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1 January 2012 in Colloids and Surfaces B: Biointerfaces
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MWMalgorzata Wojtoniszak
Malgorzata Wojtoniszak
XCXuecheng Chen
Xuecheng Chen
RKRyszard J. Kalenczuk
Ryszard J. Kalenczuk
AWAnna Wajda
Anna Wajda
JŁJoanna Łapczuk-Romańska
Joanna Łapczuk-Romańska
EBEwa Borowiak-Palen
Ewa Borowiak-Palen

1 February 2016 in Pharmacological Reports
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Journal Article
Closed access
AWAnna Wajda
Anna Wajda
JŁJoanna Łapczuk-Romańska
Joanna Łapczuk-Romańska
Marta GrabowskaMarta Grabowska
Marta Grabowska
Marcin SłojewskiMarcin Słojewski
Marcin Słojewski
MLMaria Laszczyńska
Maria Laszczyńska
Marek DrozdzikMarek Drozdzik
Marek Drozdzik

1 March 2015 in Genetics and Molecular Biology
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MKMateusz Kurzawski
Mateusz Kurzawski
AWAnna Wajda
Anna Wajda
DMDamian Malinowski
Damian Malinowski
AKAnna Kazienko
Anna Kazienko
RKRafał Kurzawa
Rafał Kurzawa
Marek DrozdzikMarek Drozdzik
Marek Drozdzik
Spermatogenesis is a process where an important contribution of genes involved in folate-mediated one-carbon metabolism is observed. The aim of the present study was to investigate the association between male infertility and the MTHFR (677C > T; 1298A > C), MTR (2756A > G) and MTRR (66A > G) polymorphisms in a Polish population. No significant differences in genotype or allele frequencies were detected between the groups of 284 infertile men and of 352 fertile controls. These results demonstrate that common polymorphisms in folate pathway genes are not major risk factors for non-obstructive male infertility in the Polish population.

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AWAnna Wajda
Anna Wajda
JŁJoanna Łapczuk-Romańska
Joanna Łapczuk-Romańska
Agnieszka Paradowska-GoryckaAgnieszka Paradowska-Gorycka
Agnieszka Paradowska-Gorycka
Environmental factors contribute to autoimmune disease manifestation, and as regarded today, AhR has become an important factor in studies of immunomodulation. Besides immunological aspects, AhR also plays a role in pharmacological, toxicological and many other physiological processes such as adaptive metabolism. In recent years, epigenetic mechanisms have provided new insight into gene regulation and reveal a new contribution to autoimmune disease pathogenesis. DNA methylation, histone modifications, chromatin alterations, microRNA and consequently non-genetic changes in phenotypes connect with environmental factors. Increasing data reveals AhR cross-roads with the most significant in immunology pathways. Although study on epigenetic modulations in autoimmune diseases is still not well understood, therefore future research will help us understand their pathophysiology and help to find new therapeutic strategies. Present literature review sheds the light on the common ground between remodeling chromatin compounds and autoimmune antibodies used in diagnostics. In the proposed review we summarize recent findings that describe epigenetic factors which regulate AhR activity and impact diverse immunological responses and pathological changes.

9 May 2012 in European Journal of Clinical Pharmacology
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MKMateusz Kurzawski
Mateusz Kurzawski
KDKrzysztof Dziewanowski
Krzysztof Dziewanowski
JŁJoanna Łapczuk-Romańska
Joanna Łapczuk-Romańska
AWAnna Wajda
Anna Wajda
Marek DrozdzikMarek Drozdzik
Marek Drozdzik
Purpose New-onset diabetes after transplantation (NODAT) is a major complication after kidney transplantation. The risk factors for NODAT include the use of calcineurin inhibitors as part of the immunosuppressive regimen, among which tacrolimus has the most pronounced diabetogenic effect. Both NODAT and type 2 diabetes mellitus (T2DM) share several risk factors. Recent studies have identified a number of common genetic variants associated with increased risk of T2DM. Here we report the results of our study on the potential effect of single nucleotide polymorphisms (SNPs) previously associated with T2DM on the risk of NODAT in kidney transplant patients medicated with tacrolimus. Methods Seven SNPs in six genes known to increase the risk of T2DM in Caucasians were genotyped by means of TaqMan assays in 235 kidney transplant patients medicated with tacrolimus: rs4402960 and rs1470579 in IGF2BP2; rs1111875 in HHEX; rs10811661 upstream of CDKN2A/B; rs13266634 in SLC30A8; rs1801282 in PPARG; rs5215 in KCNJ11. The TCF7L2 rs7903146 SNP was also included in the multivariate analysis. Results None of the analyzed SNPs was significantly associated with the risk of NODAT. However, the IGF2BP2 rs4402960 T allele was present significantly more frequently among patients diagnosed with NODAT more than 2 weeks after transplantation (p = 0.048). Mean (± standard deviation) number of the analyzed alleles tended to be lower in patients without NODAT (6.19 ± 1.71) than in NODAT patients (6.58 ± 1.1.95; p = 0.09) and significantly lower compared to late-onset NODAT patients (7.03 ± 1.88; p = 0.018). Multivariate analysis confirmed the significance of ‘diabetogenic’ allele number in late-onset NODAT development [odds ratio (OR) 1.37, 95 % confidence interval (CI) 1.05–1.78; p = 0.017]. Additionally, individuals carrying >7 of the analyzed ‘diabetogenic’ alleles were at a significantly higher risk of NODAT (OR 2.17, 95 % CI 1.18–3.99; p = 0.015). Conclusions Complex analysis of genotypes increasing the risk of diabetes may lead to the identification of NODAT susceptibility predictors.

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TKTomasz Kmiołek
Tomasz Kmiołek
EREwa Rzeszotarska
Ewa Rzeszotarska
AWAnna Wajda
Anna Wajda
EWEwa Walczuk
Ewa Walczuk
EKEwa Kuca-Warnawin
Ewa Kuca-Warnawin
Agnieszka Paradowska-GoryckaAgnieszka Paradowska-Gorycka
Agnieszka Paradowska-Gorycka
MicroRNAs regulate gene expression of transcriptional factors, which influence Th17/Treg (regulatory T cells) balance, establishing the molecular mechanism of genetic and epigenetic regulation of Treg and Th17 cells is crucial for understanding rheumatoid arthritis (RA) pathogenesis. The study goal was to understand the potential impact of the selected microRNAs expression profiles on Treg/Th17 cells frequency, RA phenotype, the expression profile of selected microRNAs, and their correlation with the expression profiles of selected transcriptional factors: SOCS1, SMAD3, SMAD4, STAT3, STAT5 in RA; we used osteoarthritis (OA) and healthy controls (HCs) as controls. The study was conducted on 14 RA and 11 OA patients, and 15 HCs. Treg/Th17 frequency was established by flow cytometry. Gene expression analysis was estimated by qPCR. We noticed correlations in RA Th17 cells between miR-26 and SMAD3, STAT3, SOCS1; and miR-155 and STAT3—and in RA Treg cells between miR-26 and SOCS1; miR-31, -155 and SMAD3; and miR-155 and SMAD4. In RA Tregs, we found a negative correlation between miR-26, -126 and STAT5a. The expression level of miR-31 in Th17 cells from RA patients with DAS28 ≤ 5.1 is higher and that for miR-24 is greater in Tregs from patients with DAS28 > 5.1. MiR-146a in Tregs is higher in rheumatoid factor (RF) positive RA patients.