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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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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (7/7 displayed)

  • 2024Understanding and tuning the electronic structure of pentalenides3citations
  • 2023Impact of Interleukin-10 Promoter Region Polymorphisms on Recurrent Miscarriage: A Case-Control Approach.4citations
  • 2022Association analysis of LHCGR variants and polycystic ovary syndrome in Punjab: a case–control approach15citations
  • 2019Shelf life extension of vacuum packaged chilled beef in the Chinese supply chain. A feasibility studycitations
  • 2016Development of electrosynthetic methods for the functionalisation of tertiary amidescitations
  • 2014Cytotoxicity and apoptosis induced by a plumbagin derivative in estrogen positive MCF-7 breast cancer cells68citations
  • 2012Thermally stable ferrocenyl "push-pull" chromophores with tailorable and switchable second-order non-linear optical response: synthesis and structure-property relationship53citations

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Helten, Holger
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Kociok-Köhn, Gabriele
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Co-Authors (by relevance)

  • Helten, Holger
  • Kociok-Köhn, Gabriele
  • Helbig, Andreas
  • Jenek, Niko A.
  • Hintermair, Ulrich
  • Reeksting, Shaun B.
  • Sanderson, Hugh J.
  • Boyt, Stuart M.
  • Sudhir, N.
  • Beri, A.
  • Singh, S.
  • Kaur, A.
  • Kaur, T.
  • Kaur, Anupam
  • Beri, Archana
  • Kaur, Ratneev
  • Singh, Sukhjashanpreet
  • Luo, Xin
  • Mellor, Glen
  • Li, Yutao
  • Frank, Damian
  • Zhang, Yimin
  • Chen, Xue
  • Stark, Janet
  • Hughes, Joanne
  • Esau, Luke
  • Sagar, Sunil
  • Singh, Kamaljit
  • Depotter, Griet
  • Kaur, Paramjit
  • Van Cleuvenbergen, Stijn
  • Clays, Koen
  • Asselberghs, Inge
OrganizationsLocationPeople

article

Impact of Interleukin-10 Promoter Region Polymorphisms on Recurrent Miscarriage: A Case-Control Approach.

  • Sudhir, N.
  • Beri, A.
  • Singh, S.
  • Kaur, A.
  • Kaur, T.
  • Kaur, Mandeep
Abstract

<h4>Background</h4>Recurrent miscarriage (RM), defined as two or more consecutive miscarriages prior to the 20<sup>th</sup> week of gestation is characterised by multifactorial aetiology. The prevalence of RM varies from 0.8% to 13.5% amongst women of reproductive age. The aetiological basis of RM has been traced to chromosomal, anatomic, hormonal and immunologic factors while half of the cases remain idiopathic.<h4>Aims</h4>This study aimed to investigate the association of interleukin-10 (IL-10) polymorphisms with RM amongst the Indian population.<h4>Settings and design</h4>The present study included a total of 414 individuals including RM women (<i>n</i> = 199) with two or more pregnancy losses and healthy women (<i>n</i> = 215) without any previous history of pregnancy loss were taken as the control group.<h4>Materials and methods</h4>Demographic features and reproductive history of women with RM and healthy women were taken. Genotype analysis of IL-10 polymorphisms rs1800872 and rs1800896 was performed using the polymerase chain reaction (PCR) restriction fragment length polymorphism and amplification mutation refractory system PCR, respectively.<h4>Statistical analysis used</h4>Student's <i>t</i>-test was used to compare the demographic features and reproductive history amongst both groups. Pearson's Chi-square was used to calculate the Hardy-Weinberg equilibrium, allelic and genotypic frequencies. All the statistical analyses were performed using the SPSS (version 21, IBM SPSS, NY, USA).<h4>Results</h4>Our results suggested that the genotypic and allelic frequency of rs1800872 polymorphism did not differ significantly between RM cases and control women (<i>P</i> = 0.07 and <i>P</i> = 0.23, respectively). The GG genotype (<i>P</i> = 0.007) and G allele (<i>P</i> = 0.003) of rs1800896 were significantly associated with an increased risk of RM. A statistically significant difference was also found for the distribution of genetic models (dominant and co-dominant model) between both groups for rs1800896. However, haplotype analysis revealed that none of the haplotypes provides a risk for the progression of RM.<h4>Conclusion</h4>The study is the first of its kind from our region and provides baseline data on the genetics of RM.

Topics
  • impedance spectroscopy
  • refractory