Redox proteomics allows the identification of specific targets of

Redox proteomics allows the identification of specific targets of protein oxidation in

a biological sample. Using proteomic techniques, apolipoprotein A-I (ApoA-I) has been found at decreased levels in subjects with a variety of neurodegenerative disorders including in the serum and cerebrospinal fluid (CSF) of Alzheimer disease (AD), Parkinson disease (PD), and Down syndrome (DS) with gout subjects. ApoA-I plays roles in cholesterol transport and regulation of inflammation. Redox proteomics further showed ApoA-I to be highly oxidatively modified and particularly susceptible to modification by 4-hydroxy-2-trans-nonenal (HNE), a lipid peroxidation product. In the current review, we discuss the consequences of oxidation of ApoA-I in terms of neurodegeneration. ROS-associated chemotherapy related ApoA-I oxidation leads to elevation

CP 456773 of peripheral levels of tumor necrosis factor-a (TNF-a) that can cross the blood-brain barrier (BBB) causing a signaling cascade that can contribute to neuronal death, likely a contributor to what patients refer to as chemobrain. Current evidence suggests ApoA-I to be a promising diagnostic PRIMA-1MET concentration marker as well as a potential target for therapeutic strategies in these neurodegenerative disorders.”
“Background: This study was conducted to identify administrative wards (lots) with unacceptable levels of full child immunisation coverage, and to identify factors associated with achievement of a complete child immunisation schedule in Ibadan North East (IBNE) and Ido local government areas (LGAs) of Oyo State, Nigeria.\n\nMethods: A cross-sectional survey involving 1178 mothers, 588 from IBNE LGAs and 590 from Ido LGAs, with children 12-23 months of age was conducted. Children were considered ‘fully-immunised’ if they received all

the vaccines included in the immunisation schedule. Lot quality assurance sampling was used to determine lots with acceptable and non-acceptable coverage. Samples were weighted based on the population by lot to estimate overall coverage in the two Trichostatin A solubility dmso LGAs and a logistic regression model was used to identify factors associated with the fully immunised child.\n\nResults: Mean age of the mothers was 28.5+/-5.6 and 28.1+/-6.0 years in IBNE and Ido LGAs, respectively. Eleven of 12 wards in IBNE and all the wards in Ido had unacceptable coverage. The proportion of fully immunised children was 40.2% in IBNE and 41.3% in Ido. Maternal age >= 30 years, retention of an immunisation card, completion of tertiary education, or secondary education, hospital birth and first-order birth were significant predictors of complete childhood immunisation.\n\nConclusion: The level of full immunisation coverage was unacceptable in almost all the wards.

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