Cognitive Effects of Air Pollution Exposures and Potential Mechanistic Underpinnings.

PURPOSE OF REVIEW: This review sought to address the potential for air pollutants to impair cognition and mechanisms by which that might occur. RECENT FINDINGS: Air pollution has been associated with deficits in cognitive functions across a wide range of epidemiological studies, both with developmental and adult exposures. Studies in animal models are significantly more limited in number, with somewhat inconsistent findings to date for measures of learning, but show more consistent impairments for short-term memory. Potential contributory mechanisms include oxidative stress/inflammation, altered levels of dopamine and/or glutamate, and changes in synaptic plasticity/structure. Epidemiological studies are consistent with adverse effects of air pollutants on cognition, but additional studies and better phenotypic characterization are needed for animal models, including more precise delineation of specific components of cognition that are affected, as well as definitions of critical exposure periods for such effects and the components of air pollution responsible. This would permit development of more circumscribed hypotheses as to potential behavioral and neurobiological mechanisms.

Developmental neurotoxicity of inhaled ambient ultrafine particle air pollution: Parallels with neuropathological and behavioral features of autism and other neurodevelopmental disorders.

Accumulating evidence from both human and animal studies show that brain is a target of air pollution. Multiple epidemiological studies have now linked components of air pollution to diagnosis of autism spectrum disorder (ASD), a linkage with plausibility based on the shared mechanisms of inflammation. Additional plausibility appears to be provided by findings from our studies in mice of exposures from postnatal day (PND) 4-7 and 10-13 (human 3rd trimester equivalent), to concentrated ambient ultrafine (UFP) particles, considered the most reactive component of air pollution, at levels consistent with high traffic areas of major U.S. cities and thus highly relevant to human exposures. These exposures, occurring during a period of marked neuro- and gliogenesis, unexpectedly produced a pattern of developmental neurotoxicity notably similar to multiple hypothesized mechanistic underpinnings of ASD, including its greater impact in males. UFP exposures induced inflammation/microglial activation, reductions in size of the corpus callosum (CC) and associated hypomyelination, aberrant white matter development and/or structural integrity with ventriculomegaly (VM), elevated glutamate and excitatory/inhibitory imbalance, increased amygdala astrocytic activation, and repetitive and impulsive behaviors. Collectively, these findings suggest the human 3rd trimester equivalent as a period of potential vulnerability to neurodevelopmental toxicity to UFP, particularly in males, and point to the possibility that UFP air pollution exposure during periods of rapid neuro- and gliogenesis may be a risk factor not only for ASD, but also for other neurodevelopmental disorders that share features with ASD, such as schizophrenia, attention deficit disorder, and periventricular leukomalacia.

Volatile compound profiling for the identification of Gram-negative bacteria by ion-molecule reaction-mass spectrometry.

AIMS: Fast and reliable methods for the early detection and identification of micro-organism are of high interest. In addition to established methods, direct mass spectrometry-based analysis of volatile compounds (VCs) emitted by micro-organisms has recently been shown to allow species differentiation. Thus, a large number of pathogenic Gram-negative bacteria, which comprised Acinetobacter baumannii, Enterobacter cloacae, Escherichia coli, Klebsiella oxytoca, Pseudomonas aeruginosa, Proteus vulgaris and Serratia marcescens, were subjected to headspace VC composition analysis using direct mass spectrometry in a low sample volume that allows for automation. METHODS AND RESULTS: Ion-molecule reaction-mass spectrometry (IMR-MS) was applied to headspace analysis of the above bacterial samples incubated at 37°C starting with 10(2) CFU ml(-1) . Measurements of sample VC composition were performed at 4, 8 and 24 h. Microbial growth was detected in all samples after 8 h. After 24 h, species-specific mass spectra were obtained allowing differentiation between bacterial species. CONCLUSIONS: IMR-MS provided rapid growth detection and identification of micro-organisms using a cumulative end-point model with a short analysis time of 3 min per sample. SIGNIFICANCE AND IMPACT OF THE STUDY: Following further validation, the presented method of bacterial sample headspace VC analysis has the potential to be used for bacteria differentiation.

Volatile organic compound analysis by ion molecule reaction mass spectrometry for Gram-positive bacteria differentiation.

Approximately 50 % of all clinically proven infections in critically ill patients are caused by Gram-positive bacteria. The timely and appropriate treatment of these infections is vital in order to avoid negative outcomes. Hence, fast and reliable methods are needed for the early detection and identification of microorganisms. Recently, direct mass spectrometry-based analysis of volatile organic compounds emitted by microorganisms has been employed to study Gram-negative bacteria. Here, we report a feasibility study of ion molecule reaction mass spectrometry (IMR-MS) for in vitro growth detection and species differentiation of selected Gram-positive bacteria that are frequently isolated in blood culture samples, namely, Enterococcus faecalis, Enterococcus faecium, Staphylococcus aureus, and Staphylococcus epidermidis. Ion molecule reaction mass spectrometry was used to analyze the headspace above cultures containing Gram-positive bacteria incubated at 37 °C starting with 10(2) colony-forming units (CFU)/ml. Measurements to determine the presence of volatile organic compounds were performed 4, 8, and 24 h after incubation, respectively. The detection of microbial growth was accomplished already after 8 h in cultures containing E. faecalis. After 24 h of incubation, characteristic mass spectra were obtained for all species. Processing these mass spectra by hierarchic clustering and principal component analysis (PCA) enabled us to differentiate between bacterial species. IMR-MS in conjunction with a cumulative end-point model provides the means for rapid growth detection and differentiation of Gram-positive bacteria on the species level, typically within an analysis time of less than 3 min per sample.

The ubiquityl-calmodulin synthetase system from rabbit reticulocytes: isolation of the calmodulin-binding second component and enzymatic properties.

Ubiquitin-calmodulin ligase (uCaM synthetase: EC 6.3.2.21), which has been detected in all tissues so far examined, catalyzes the Ca2+-dependent reversible synthesis of ubiquityl-calmodulin which is not directed to degradation by the ATP-dependent 26-S protease [Laub, M. & Jennissen, H. P. (1997) Biochim. Biophys. Acta 1357, 173-191]. As has been shown in the preceding paper in this journal, the uCaM synthetase holosystem can be separated into two essential protein components: uCaM Syn-F1, a ubiquitin-binding protein belonging to the ubiquitin-activating enzyme family (E1) and uCaM Syn-F2 which bestows the reaction specificity leading to the covalent modification of calmodulin with ubiquitin. UCaM Syn-F2, which binds to calmodulin-Sepharose in a Ca2+-dependent manner, has been purified over 3500-fold in seven steps from rabbit reticulocytes and has a native molecular mass of approximately 620 kDa. It binds calmodulin with a Km of 5 microM and to uCaM Syn-F1, i.e. ubiquitin-activating enzyme (E1), with a Km of 3 nM. The maximal specific activity obtained in enriched uCaM Syn-F2 is 6-8 pkat/mg. The pH optimum of uCaM synthetase lies at pH 8.5. In kinetic experiments the Km values for 125I-ubiquitin and ATP/Mg2+ were determined to be 8 microM and 16 nM, respectively, for the uCaM synthetase holosystem. The existence of a third separable protein component of uCaM synthetase, as is the case in E1, E2, E3 systems, is very unlikely since affinity chromatography on calmodulin-Sepharose, two ion-exchange chromatography steps and finally a gel-filtration step failed to indicate any additional protein component essential for synthetase activity. We therefore propose a two-component model for uCaM synthetase. This model is also supported by simple hyperbolic velocity curves in kinetic experiments based on the variation of these two components. The data suggests that uCaM Syn-F2 is neither an E2 nor an E3 but evidently combines the properties of both, making the Ca2+-dependent uCaM synthetase the member of a group of two-component ubiquitin ligase systems.