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 (4/4 displayed)

  • 2019Electrophoretic deposition of gelatine nanoparticle/chitosan coatings30citations
  • 2017AGXT2 rs37369 polymorphism predicts the renal function in patients with chronic heart failure.9citations
  • 2016Considerable impacts of AGXT2 V140I polymorphism on chronic heart failure in the Chinese population.12citations
  • 2015Carbon nanotube-cellulose composite aerogels for vapour sensing105citations

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Heise, S.
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Virtanen, Sannakaisa
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Boccaccini, A. R.
1 / 193 shared
Zhou, J.
1 / 38 shared
Lu, T.
1 / 4 shared
Heer, S.
1 / 1 shared
Forster, C.
1 / 1 shared
Wj, Zeng
1 / 1 shared
Xl, Hu
2 / 2 shared
Zhang, K.
1 / 19 shared
Yl, Yang
1 / 1 shared
Kuang, Dabin
2 / 2 shared
Mp, Li
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Yj, Zhang
1 / 5 shared
Xp, Chen
2 / 2 shared
Jiang, C.
1 / 5 shared
Lm, Peng
2 / 2 shared
Li, H.
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Jp, Zhou
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Zhang, W.
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Li, X.
1 / 71 shared
Hh, Zhou
1 / 1 shared
Tl, Yang
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Liu, J.
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Pionteck, J.
1 / 26 shared
Mäder, E.
1 / 8 shared
Pötschke, Petra
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2017
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Co-Authors (by relevance)

  • Heise, S.
  • Virtanen, Sannakaisa
  • Boccaccini, A. R.
  • Zhou, J.
  • Lu, T.
  • Heer, S.
  • Forster, C.
  • Wj, Zeng
  • Xl, Hu
  • Zhang, K.
  • Yl, Yang
  • Kuang, Dabin
  • Mp, Li
  • Yj, Zhang
  • Xp, Chen
  • Jiang, C.
  • Lm, Peng
  • Li, H.
  • Jp, Zhou
  • Zhang, W.
  • Li, X.
  • Hh, Zhou
  • Tl, Yang
  • Liu, J.
  • Pionteck, J.
  • Mäder, E.
  • Pötschke, Petra
OrganizationsLocationPeople

article

AGXT2 rs37369 polymorphism predicts the renal function in patients with chronic heart failure.

  • Wj, Zeng
  • Xl, Hu
  • Zhang, K.
  • Yl, Yang
  • Kuang, Dabin
  • Mp, Li
  • Yj, Zhang
  • Xp, Chen
  • Jiang, C.
  • Lm, Peng
  • Li, H.
  • Qi, H.
Abstract

Patients with chronic heart failure (CHF) are often accompanied with varying degrees of renal diseases. The purpose of this study was to identify rs37369 polymorphism of AGXT2 specific to the renal function of CHF patients. A total of 1012 southern Chinese participants, including 487 CHF patients without history of renal diseases and 525 healthy volunteers, were recruited for this study. Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) was used to determine the genotypes of AGXT2 rs37369 polymorphism. Levels of blood urea nitrogen (BUN) and serum creatinine (SCr) were detected to indicate the renal function of the participants. BUN level was significantly higher in CHF patients without history of renal diseases compared with healthy volunteers (p=0.000). And the similar result was also obtained for SCr (p=0.000). Besides, our results indicated that the level of BUN correlated significantly with SCr in both the CHF patients without renal diseases (r=0.4533, p<0.0001) and volunteers (r=0.2489, p<0.0001). Furthermore, we found that the AGXT2 rs37369 polymorphism could significantly affect the level of BUN in CHF patients without history of renal diseases (p=0.036, AA+AG vs GG). Patients with rs37369 GG genotype showed a significantly reduced level of BUN compared to those with the AA genotype (p=0.024), and the significant difference was still observed in the smokers of CHF patients without renal diseases (p=0.023). In conclusion, we found that CHF might induce the impairment of kidney and cause deterioration of renal function. AGXT2 rs37369 polymorphism might affect the renal function of CHF patients free from renal diseases, especially in patients with cigarette smoking.

Topics
  • Nitrogen