Several studies demonstrated that oxidative damage is a characteristic feature of many neurodegenerative diseases. The accumulation of oxidatively modified proteins may disrupt cellular functions by affecting protein expression, protein turnover, cell signaling, and induction of apoptosis and necrosis, suggesting that protein oxidation could have both physiological and pathological significance. For nearly two decades, our laboratory focused particular attention on studying oxidative damage of proteins and how their chemical modifications induced by reactive oxygen species/reactive nitrogen species correlate with pathology, biochemical alterations, and clinical presentations of Alzheimer's disease. This comprehensive article outlines basic knowledge of oxidative modification of proteins and lipids, followed by the principles of redox proteomics analysis, which also involve recent advances of mass spectrometry technology, and its application to selected age-related neurodegenerative diseases. Redox proteomics results obtained in different diseases and animal models thereof may provide new insights into the main mechanisms involved in the pathogenesis and progression of oxidativestress-related neurodegenerative disorders. Redox proteomics can be considered a multifaceted approach that has the potential to provide insights into the molecular mechanisms of a disease, to find disease markers, as well as to identify potential targets for drug therapy. Considering the importance of a better understanding of the cause/effect of protein dysfunction in the pathogenesis and progression of neurodegenerative disorders, this article provides an overview of the intrinsic power of the redox proteomics approach together with the most significant results obtained by our laboratory and others during almost 10 years of research on neurodegenerative disorders since we initiated the field of redox proteomics. Antioxid. Redox Signal. 17, 1610-1655.

Sea-breeze circulations are a prominent source of diurnal wind variability along coastlines throughout the world. For Delaware, the sea breeze is the largest source of variability in the coastal wind field. We developed a detailed, year-round sea-breeze climatology for the Delaware coastline using 9 years of meteorological station data and an objective sea-breeze detection algorithm. Sea-breeze fronts were identified and characterized by timing, speed, and duration as well as the resulting temperature and humidity changes. The observed temperature change associated with the Delaware sea-breeze front varied spatially, as well as with season, time of day, location, and developmental stage of the front. The observed sea breeze also had some unique features because of the location of southern Delaware on the Delmarva Peninsula and the complicated shape of the local coastline. Details of the summertime sea breeze were further explored using simulations with the Weather Research and Forecasting Model for June–August of 2000–09. Model-simulated sea-breeze characteristics were then compared with the observed sea-breeze climatology whenever possible. Results suggest that the mesoscale atmospheric model is capable of simulating the complex, observed spatial and temporal characteristics of the Delaware Sea breeze. However, the sea breeze in the model was weaker than that observed and tended to dissipate earlier in the afternoon, making it a challenging phenomenon to detect and characterize in the model. Improved detection and simulation of the sea-breeze fronts will increase our understanding of the impact this regional phenomenal has on the local climate and on the populations living by the coast.

Winds across the Delaware Peninsula transport pollutants, modify the temperature, and play a critical role within the state's agricultural and tourism industries. The low-level winds inland and near Delaware's coastline are characterized using observations from eight meteorological stations operated by the Delaware Environmental Observing System and the National Data Buoy Center from 2005 through 2012. The low-level winds have pronounced dominant directions during the summer (southwest/southeast) and winter (northwest) seasons, with the greatest spatial and temporal variability occurring in the summer. This inhomogeneity was further investigated with a set of simulations of the low-level winds over the Delaware Bay and surrounding landmass using the Weather Research and Forecasting Model for a subset of days from 2006 through 2012. The model was run with three nests, with the inner nest having a 2-km horizontal resolution. The randomly selected days were organized by synoptic type and season. Mesoscale wind events such as the seabreeze circulation introduce significant variability in the local wind field of coastal Delaware-an effect that is seen in both observed and modeled data. Southerly winds off Delaware's coast frequently shift counterclockwise up the Delaware Bay in alignment with the bay coastline. Long-term data from station B44009 (1984-2012) indicate a May decrease (0.03 m s 21 yr 21 ; significance p 5 0.026) and an October increase (0.04 m s 21 yr 21 ; p 5 0.006) of the mean wind speed. Results suggest that the local wind regime is multifaceted and contains significant seasonal, diurnal, and spatial variations.