The community-based participatory process allows community residents and representatives from community-based organizations, health service providers, and academic researchers to pool their skills, resources, and knowledge to extend our understanding of the complex pathways through which local environments influence risk of CVD.
The bridging between preclinical studies and useful clinical strategies seems to demand a deeper understanding of these complex pathways.
The sheer power of evolutionary thinking behind protein interaction analysis [ 81, 82] can thus reveal the conservation and diversification of interacting modules, enriched by functional genomics data for example gene expression or cellular localization and further our understanding of the complex pathways that govern cell biology.
However, this analysis demonstrates the potential of qualitative data to improve understanding of complex exposure pathways, including the influence of social factors on environmental health, and health outcomes.
Further, our results give new insights into the understanding of complex signaling pathways, in particular the role of NF-κB in response to genotoxic stress.
Further studies for a better understanding of this complex pathway orchestration of HGF-induced migration will be necessary, of course.
Further studies are required to assess DDAH sequence variation and its influence on DDAH activity and serum ADMA levels both in individuals with and without diabetes to increase understanding of this complex pathway in normal and pathogenic conditions.
With the increased recent attention on understanding the complex pathways and fluxes of material, energy, and organisms and the multidimensional coupling between various geomorphic process domains, the 47th Binghamton Geomorphology Symposium was organized around the theme of Connectivity in Geomorphology.
The Adverse Outcome Pathways (AOPs) are designed to provide mechanistic understanding of complex biological systems and pathways of toxicity that result in adverse outcomes (AOs) relevant to regulatory endpoints.
Understanding the extremely complex pathways and interactions of the components will bring this strategy a step closer to develop robust clinical treatments.
