| Literature DB >> 23172950 |
Sanjay Rajagopalan1, Robert D Brook.
Abstract
Entities:
Mesh:
Year: 2012 PMID: 23172950 PMCID: PMC3501850 DOI: 10.2337/db12-0190
Source DB: PubMed Journal: Diabetes ISSN: 0012-1797 Impact factor: 9.461
FIG. 1.A model for development of cardiometabolic disease highlighting importance of gene–environment interactions. (A high-quality digital representation of this figure is available in the online issue.)
Annual PM data from 47 countries with the highest reported PM10 levels
Epidemiological associations among air pollutants, diabetes, and insulin resistance
FIG. 2.Hypothesized mechanisms of air pollution–mediated cardiometabolic disease wherein inhalational or nutritional signals either directly or via the generation of signals such as DAMPs may serve to activate innate immune mechanisms such as the TLR and NLR. AP1, activator protein 1; CARD, caspase activation and recruitment domain; IKKb, IκB kinase b; IRAK, interleukin receptor-associated kinase; IRF3, interferon regulatory factor 3; MAPK, mitogen-activated protein kinase; MyD88, myeloid differentiation primary response gene 88; NAFLD, nonalcoholic fatty liver disease; PAMP, pathogen-associated molecular pattern; PAPC, palmitoyl-arachidonyl phosphocholine; RNS, reactive nitrogen species; ROS, reactive oxygen species; TAK, transforming growth factor-β–activated kinase; TBK, TANK-binding kinase 1; TRAF, TNF receptor-associated factor; TRIF, Toll/IL-1 receptor-domain-containing adapter-inducing interferon-β; UCP-1, uncoupling protein-1; WAT, white adipose tissue. (A high-quality digital representation of this figure is available in the online issue.)