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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2023Circulating proteins and peripheral artery disease risk: observational and Mendelian randomization analyses7citations
  • 2022Abstract 297: Systematic Review And Mendelian Randomization Of Plasma Biomarkers To Predict Their Causal Role In Peripheral Artery Disease Pathophysiologycitations

Places of action

Chart of shared publication
Program, Va Million Veteran
1 / 1 shared
Zhang, Ke
1 / 3 shared
Åkesson, Agneta
1 / 1 shared
Li, Xue
1 / 5 shared
Titova, Olga E.
1 / 2 shared
Yuan, Shuai
1 / 2 shared
Larsson, Susanna C.
1 / 3 shared
Chen, Jie
1 / 12 shared
Damrauer, Scott
1 / 1 shared
Levin, Michael
1 / 1 shared
Voight, Benjamin F.
1 / 1 shared
Damrauer, Scott M.
1 / 1 shared
Chart of publication period
2023
2022

Co-Authors (by relevance)

  • Program, Va Million Veteran
  • Zhang, Ke
  • Åkesson, Agneta
  • Li, Xue
  • Titova, Olga E.
  • Yuan, Shuai
  • Larsson, Susanna C.
  • Chen, Jie
  • Damrauer, Scott
  • Levin, Michael
  • Voight, Benjamin F.
  • Damrauer, Scott M.
OrganizationsLocationPeople

article

Circulating proteins and peripheral artery disease risk: observational and Mendelian randomization analyses

  • Program, Va Million Veteran
  • Zhang, Ke
  • Åkesson, Agneta
  • Klarin, Derek
  • Li, Xue
  • Titova, Olga E.
  • Yuan, Shuai
  • Larsson, Susanna C.
  • Chen, Jie
  • Damrauer, Scott
Abstract

<jats:title>Abstract</jats:title><jats:sec><jats:title>Aims</jats:title><jats:p>We conducted observational and Mendelian randomization (MR) analyses to explore the associations between blood proteins and risk of peripheral artery disease (PAD).</jats:p></jats:sec><jats:sec><jats:title>Methods and results</jats:title><jats:p>The observational cohort analyses included data on 257 proteins estimated in fasting blood samples from 12 136 Swedish adults aged 55–94 years who were followed up for incident PAD via the Swedish Patient Register. Mendelian randomization analyses were undertaken using cis-genetic variants strongly associated with the proteins as instrumental variables and genetic association summary statistic data for PAD from the FinnGen study (11 924 cases and 288 638 controls) and the Million Veteran Program (31 307 cases and 211 753 controls). The observational analysis, including 86 individuals diagnosed with incident PAD during a median follow-up of 6.6-year, identified 13 proteins [trefoil factor two, matrix metalloproteinase-12 (MMP-12), growth differentiation factor 15, V-set and immunoglobulin domain-containing protein two, N-terminal prohormone brain natriuretic peptide, renin, natriuretic peptides B, phosphoprotein associated with glycosphingolipid-enriched microdomains one, C-C motif chemokine 15, P-selectin, urokinase plasminogen activator surface receptor, angiopoietin-2, and C-type lectin domain family five member A] associated with the risk of PAD after multiple testing correction. Mendelian randomization analysis found associations of T-cell surface glycoprotein CD4, MMP-12, secretoglobin family 3A member 2, and ADM with PAD risk. The observational and MR associations for T-cell surface glycoprotein CD4 and MMP-12 were in opposite directions.</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>This study identified many circulating proteins in relation to the development of incident PAD. Future studies are needed to verify our findings and assess the predictive and therapeutic values of these proteins in PAD.</jats:p></jats:sec>

Topics
  • surface
  • size-exclusion chromatography
  • chemical ionisation