Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Show results for 693.932 people that are selected by your search filters.

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Wieckiewicz, Mieszko

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Wroclaw Medical University

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 2023Effects of polishing and artificial aging on mechanical properties of dental lt clear® resin19citations
  • 2023Comparison of the tensile modulus of three 3D-printable materials used in dentistrycitations
  • 2023The influence of polishing and artificial aging on BioMed Amber® resin’s mechanical properties3citations
  • 2022Assessment of Telomerase Reverse Transcriptase Single Nucleotide Polymorphism in Sleep Bruxism8citations
  • 2019Translucency of Zirconia Ceramics before and after Artificial Aging48citations

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Weżgowiec, Joanna
3 / 4 shared
Paradowska-Stolarz, Anna
3 / 4 shared
Małysa, Andrzej
2 / 4 shared
Laskowska, Joanna
1 / 1 shared
Duś-Ilnicka, Irena
1 / 1 shared
Pollmann, Maria Cristina Figueiredo
1 / 1 shared
Adamska, Małgorzata
1 / 1 shared
Mikulewicz, Marcin
2 / 10 shared
Seweryn, Piotr
1 / 1 shared
Martynowicz, Helena
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Gac, Pawel
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Poreba, Rafal
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Macek, Piotr
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Wojakowska, Anna
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Mazur, Grzegorz
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Bogunia-Kubik, Katarzyna
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Dratwa, Marta
1 / 1 shared
Meißner, Heike
1 / 1 shared
Sakkas, Andreas
1 / 1 shared
Boening, Klaus
1 / 2 shared
Range, Ursula
1 / 1 shared
Konstantinidis, Ioannis
1 / 1 shared
Walczak, Katarzyna
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2022
2019

Co-Authors (by relevance)

  • Weżgowiec, Joanna
  • Paradowska-Stolarz, Anna
  • Małysa, Andrzej
  • Laskowska, Joanna
  • Duś-Ilnicka, Irena
  • Pollmann, Maria Cristina Figueiredo
  • Adamska, Małgorzata
  • Mikulewicz, Marcin
  • Seweryn, Piotr
  • Martynowicz, Helena
  • Gac, Pawel
  • Poreba, Rafal
  • Macek, Piotr
  • Wojakowska, Anna
  • Mazur, Grzegorz
  • Bogunia-Kubik, Katarzyna
  • Dratwa, Marta
  • Meißner, Heike
  • Sakkas, Andreas
  • Boening, Klaus
  • Range, Ursula
  • Konstantinidis, Ioannis
  • Walczak, Katarzyna
OrganizationsLocationPeople

article

Assessment of Telomerase Reverse Transcriptase Single Nucleotide Polymorphism in Sleep Bruxism

  • Martynowicz, Helena
  • Gac, Pawel
  • Poreba, Rafal
  • Macek, Piotr
  • Wieckiewicz, Mieszko
  • Wojakowska, Anna
  • Mazur, Grzegorz
  • Bogunia-Kubik, Katarzyna
  • Dratwa, Marta
Abstract

<jats:p>Introduction: Sleep bruxism (SB) is a widespread masticatory muscle activity during sleep and affects approximately 13.2% of the general population. Telomerase reverse transcriptase (TERT) plays a role in preventing the shortening of the telomere. This prospective, observational study aimed to investigate the relationship between single nucleotide polymorphism (SNP) of TERT and the severity of SB and to identify the independent risk factors for SB. Methods: A total of 112 patients were diagnosed by performing one-night polysomnography based on the guidelines of the American Academy of Sleep Medicine. TERT SNP was detected by real-time quantitative polymerase chain reaction (qPCR). Results: Statistical analysis showed the lack of relationship between the rs2853669 polymorphism of TERT and severity of SB (p &gt; 0.05). However, the study showed that patients with allele T in the 2736100 polymorphism of TERT had a lower score on the phasic bruxism episode index (BEI). Based on the receiver operating characteristic (ROC) curve, the value of phasic BEI was 0.8 for the differential prediction for the presence of allele T in the locus. The sensitivity and specificity were 0.328 and 0.893, respectively. The regression analysis showed that lack of TERT rs2736100 T allele, male gender, and arterial hypertension are the risk factors for the higher value of phasic BEI. Conclusion: The SNP of the TERT gene affects phasic SB intensity. The absence of TERT rs2736100 T allele, male sex, and arterial hypertension are independent risk factors for phasic SB.</jats:p>

Topics
  • impedance spectroscopy