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 (5/5 displayed)

  • 2016Co-stimulatory CD28 and transcription factor NFKB1 gene variants affect idiopathic recurrent miscarriages.4citations
  • 2016Association of functional genetic variants of CTLA4 with reduced serum CTLA4 protein levels and increased risk of idiopathic recurrent miscarriages.22citations
  • 2014Association of CTLA-4 gene polymorphism with end-stage renal disease and renal allograft outcome.23citations
  • 2010Role of Thrombotic Risk Factors in End-Stage Renal Disease10citations
  • 2006High prevalence of ACE DD genotype among north Indian end stage renal disease patients23citations

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Singh, Bharti
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Mishra, Aditi
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Phadke, Shubha R.
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Pandey, Shashi Kant
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Kapoor, Rakesh
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Sharma, Raj Kumar
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Sankhwar, Satya Narayan
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Baburaj, Vinod Pandirikkal
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Sharma, Rk
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Dharmani, Poonam
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Baburajan, Vinod Pandirikkal
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Co-Authors (by relevance)

  • Singh, Bharti
  • Mishra, Aditi
  • Phadke, Shubha R.
  • Pandey, Shashi Kant
  • Kapoor, Rakesh
  • Sharma, Raj Kumar
  • Sankhwar, Satya Narayan
  • Baburaj, Vinod Pandirikkal
  • Sharma, Rk
  • Khan, Faisal
  • Dharmani, Poonam
  • Baburajan, Vinod Pandirikkal
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article

Association of functional genetic variants of CTLA4 with reduced serum CTLA4 protein levels and increased risk of idiopathic recurrent miscarriages.

  • Phadke, Shubha R.
  • Agrawal, Suraksha
  • Mishra, Aditi
Abstract

To determine whether idiopathic recurrent miscarriages (IRM) are associated with the alteration in serum CTLA4 protein levels and to evaluate their correlation with CTLA4 tag single-nucleotide polymorphisms (SNPs).Retrospective case-control study.Tertiary-care referral hospital.Three hundred women with IRM (mean age: 28.6 ± 5.4 years) and 600 age-matched (mean age: 29.2 ± 6.8) control women.Detection of genetic variants of CTLA4 markers rs231775, rs5742909, rs11571317, rs16840252, rs4553808, and rs3087243 by polymerase chain reaction followed by restriction fragment length polymorphism analysis and validated through DNA sequencing, and CTLA4 serum levels measured by enzyme-linked immunosorbent assay.Serum CTLA4 levels, genotypes, and haplotype frequencies compared in IRM cases versus controls.We observed statistically significantly higher occurrence of minor allele homozygous of rs231775 and rs3087243 tag-SNPs in IRM cases, which suggests a risk association. A statistically significantly reduced level of CTLA4 protein was seen for mutant genotypes of rs231775 and rs3087243 tag-SNPs in women with IRM, revealing a risk association. Serum CTLA4 levels were statistically significantly reduced in women with IRM as compared with the control women. The mutant haplotype carriers of six studied tag-SNPs showed 2.34-fold higher frequencies in IRM cases. In silico analyses strengthened our observations and suggested that variation in CTLA4 gene content may influence the expression of this gene and directly or indirectly influence the function of other genes in the protein-protein interaction pathway.These results suggest an effect of CTLA4 gene variants, with reduced sCTLA4 secretion and an increased risk for IRM. Reduced CTLA4 secretion and specific CTLA4 variants may contribute to the pathogenesis of IRM.

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