Short-term effects of PM2.5, PM10 and PM2.5-10 on daily mortality in The Netherlands

INTRODUCTION

Information on the relationship between levels of particulate matter (PM) smaller than 2.5 μm and mortality rates in Europe is relatively sparse because of limited availability of PM2.5 measurement data. Even less information is available on the health effects attributable to PM2.5-10, especially for North-West Europe.

OBJECTIVES

To investigate the relationship between various PM size fractions and daily mortality rates.

METHODS

Daily concentrations of PM from the Dutch National Ambient Air Quality Monitoring Network as well as all cause and cause-specific mortality rates in The Netherlands were obtained for the period 2008-2009. Poisson regression analysis using generalized additive models was used, with adjustment for potential confounding including long-term and seasonal trends, influenza incidence, meteorological variables, day of the week, and holidays. Different measures of PM (PM2.5, PM10 and PM2.5-10) were analysed.

RESULTS

PM10 and PM2.5 levels were statistically significantly (p<0.05) associated with all cause and cause-specific deaths. For example, a 10 μg/m(3) increase in previous day PM was associated with 0.8% (95% CI 0.3-1.2) excess risk in all cause mortality for PM2.5 and a 0.6% (CI 0.2-1.0) excess risk for PM10. No appreciable associations were observed for PM2.5-10. Effects of PM10, and PM2.5 were insensitive to adjustment for PM2.5-10, and vice-versa. PM10 and PM2.5 were too highly correlated to disentangle their independent effects.

CONCLUSIONS

PM10 and PM2.5 both were significantly associated with all cause and cause-specific mortality. We were unable to demonstrate significant effects for PM2.5-10, possibly due to the lower temporal variability and the higher exposure misclassification in PM2.5-10 compared to PM10 or PM2.5. The lack of effects of PM2.5-10 in our study should therefore not be interpreted as an indication that PM2.5-10 can be considered harmless.

Air pollution and lung cancer incidence in 17 European cohorts: prospective analyses from the European Study of Cohorts for Air Pollution Effects (ESCAPE)

BACKGROUND

Ambient air pollution is suspected to cause lung cancer. We aimed to assess the association between long-term exposure to ambient air pollution and lung cancer incidence in European populations.

METHODS

This prospective analysis of data obtained by the European Study of Cohorts for Air Pollution Effects used data from 17 cohort studies based in nine European countries. Baseline addresses were geocoded and we assessed air pollution by land-use regression models for particulate matter (PM) with diameter of less than 10 μm (PM10), less than 2·5 μm (PM2·5), and between 2·5 and 10 μm (PMcoarse), soot (PM2·5absorbance), nitrogen oxides, and two traffic indicators. We used Cox regression models with adjustment for potential confounders for cohort-specific analyses and random effects models for meta-analyses.

FINDINGS

The 312 944 cohort members contributed 4 013 131 person-years at risk. During follow-up (mean 12·8 years), 2095 incident lung cancer cases were diagnosed. The meta-analyses showed a statistically significant association between risk for lung cancer and PM10 (hazard ratio [HR] 1·22 [95% CI 1·03-1·45] per 10 μg/m(3)). For PM2·5 the HR was 1·18 (0·96-1·46) per 5 μg/m(3). The same increments of PM10 and PM2·5 were associated with HRs for adenocarcinomas of the lung of 1·51 (1·10-2·08) and 1·55 (1·05-2·29), respectively. An increase in road traffic of 4000 vehicle-km per day within 100 m of the residence was associated with an HR for lung cancer of 1·09 (0·99-1·21). The results showed no association between lung cancer and nitrogen oxides concentration (HR 1·01 [0·95-1·07] per 20 μg/m(3)) or traffic intensity on the nearest street (HR 1·00 [0·97-1·04] per 5000 vehicles per day).

INTERPRETATION

Particulate matter air pollution contributes to lung cancer incidence in Europe.

FUNDING

European Community's Seventh Framework Programme.

Detection of filaria-specific IgG4antibodies and filarial DNA, for the screening of blood spots forBrugia timori

The establishment of simple, sensitive and specific tools for the diagnosis of brugian lymphatic filariasis is a prerequisite for a successful intervention to control the disease. In the simple and rapid Brugia Rapid (BR) test, an immunochromatographic dipstick is used to detect IgG(4) antibodies that are reactive with a recombinant Brugia malayi antigen. When sera from 109 individuals with Brugia microfilaraemias (12 with B. malayi and 97 with B. timori) were investigated using the BR test, all were found positive. In contrast, all of the 150 sera from individuals with Onchocerca volvulus or Mansonella infections investigated were found negative in BR tests. Some unwelcome cross-reactions were observed, however, with sera from individuals infected with Wuchereria bancrofti (three of 12 test-positive) and Dirofilaria (one of nine test-positive). In an attempt to facilitate sample collection and detect any cross-reactions, the BR dipstick was used to screen blood spots, that had been allowed to dry on filter paper, for B. timori microfilariae, before the dipstick-positive samples were tested with a PCR-based assay. Of the 66 individuals so tested, 37 (56%) were found positive by the BR test used on dry blood spots and eight (22%) by the filtration of fresh blood samples. Only nine of the 37 dipstick-positive samples were found PCR-positive. The combined use of BR tests and PCR-based assays, for testing blood spots in areas where brugian filariasis is endemic, appears to be a promising method not only for post-treatment monitoring but also for the certification activities planned within the framework of the Global Programme to Eliminate Lymphatic Filariasis.

Development of land use regression models for particle composition in twenty study areas in Europe

Land Use Regression (LUR) models have been used to describe and model spatial variability of annual mean concentrations of traffic related pollutants such as nitrogen dioxide (NO2), nitrogen oxides (NOx) and particulate matter (PM). No models have yet been published of elemental composition. As part of the ESCAPE project, we measured the elemental composition in both the PM10 and PM2.5 fraction sizes at 20 sites in each of 20 study areas across Europe. LUR models for eight a priori selected elements (copper (Cu), iron (Fe), potassium (K), nickel (Ni), sulfur (S), silicon (Si), vanadium (V), and zinc (Zn)) were developed. Good models were developed for Cu, Fe, and Zn in both fractions (PM10 and PM2.5) explaining on average between 67 and 79% of the concentration variance (R(2)) with a large variability between areas. Traffic variables were the dominant predictors, reflecting nontailpipe emissions. Models for V and S in the PM10 and PM2.5 fractions and Si, Ni, and K in the PM10 fraction performed moderately with R(2) ranging from 50 to 61%. Si, NI, and K models for PM2.5 performed poorest with R(2) under 50%. The LUR models are used to estimate exposures to elemental composition in the health studies involved in ESCAPE.

Dynamic switching of the spin circulation in tapered magnetic nanodisks

Magnetic vortices are characterized by the sense of in-plane magnetization circulation and by the polarity of the vortex core. With each having two possible states, there are four possible stable magnetization configurations that can be utilized for a multibit memory cell. Dynamic control of vortex core polarity has been demonstrated using both alternating and pulsed magnetic fields and currents. Here, we show controlled dynamic switching of spin circulation in vortices using nanosecond field pulses by imaging the process with full-field soft X-ray transmission microscopy. The dynamic reversal process is controlled by far-from-equilibrium gyrotropic precession of the vortex core, and the reversal is achieved at significantly reduced field amplitudes when compared with static switching. We further show that both the field pulse amplitude and duration required for efficient circulation reversal can be controlled by appropriate selection of the disk geometry.

Inhibition of cholesteryl ester transfer protein by anacetrapib does not impair the anti-inflammatory properties of high density lipoprotein

Cholesteryl ester transfer protein (CETP) is a target of therapeutic intervention for coronary heart disease. Anacetrapib, a potent inhibitor of CETP, has been shown to reduce LDL-cholesterol by 40% and increase HDL-cholesterol by 140% in patients, and is currently being evaluated in a phase III cardiovascular outcomes trial. HDL is known to possess anti-inflammatory properties, however with such large increases in HDL-cholesterol, it is unclear whether CETP inhibition perturbs HDL functionality such as anti-inflammatory effects on endothelial cells. The purpose of the present study was to determine whether CETP inhibition by anacetrapib affects the anti-inflammatory properties of HDL. HDL was isolated from either hamsters treated with vehicle or anacetrapib for 2weeks, or from normal human subjects treated either placebo, 20mg, or 150mg anacetrapib daily for 2weeks. Anacetrapib treatment increased plasma HDL cholesterol levels by 65% and between 48 and 82% in hamsters and humans, respectively. Pre-incubation of human aortic endothelial cells with HDL isolated from both control and anacetrapib treated hamsters suppressed TNFα induced expression of vascular cell adhesion molecule-1 (VCAM-1), intercellular adhesion molecule-1 (ICAM-1) and E-selectin. Similar results were obtained with human HDL samples pre and post treatment with placebo or anacetrapib. Further, HDL inhibited TNFα-induced MCP-1 secretion, monocyte adhesion and NF-κB activation in endothelial cells, and the inhibition was similar between control and anacetrapib treated groups. These studies demonstrate that anacetrapib treatment does not impair the ability of HDL to suppress an inflammatory response in endothelial cells.

Development of Land Use Regression models for PM(2.5), PM(2.5) absorbance, PM(10) and PM(coarse) in 20 European study areas; results of the ESCAPE project

Land Use Regression (LUR) models have been used increasingly for modeling small-scale spatial variation in air pollution concentrations and estimating individual exposure for participants of cohort studies. Within the ESCAPE project, concentrations of PM(2.5), PM(2.5) absorbance, PM(10), and PM(coarse) were measured in 20 European study areas at 20 sites per area. GIS-derived predictor variables (e.g., traffic intensity, population, and land-use) were evaluated to model spatial variation of annual average concentrations for each study area. The median model explained variance (R(2)) was 71% for PM(2.5) (range across study areas 35-94%). Model R(2) was higher for PM(2.5) absorbance (median 89%, range 56-97%) and lower for PM(coarse) (median 68%, range 32- 81%). Models included between two and five predictor variables, with various traffic indicators as the most common predictors. Lower R(2) was related to small concentration variability or limited availability of predictor variables, especially traffic intensity. Cross validation R(2) results were on average 8-11% lower than model R(2). Careful selection of monitoring sites, examination of influential observations and skewed variable distributions were essential for developing stable LUR models. The final LUR models are used to estimate air pollution concentrations at the home addresses of participants in the health studies involved in ESCAPE.

Development of Land Use Regression models for PM(2.5), PM(2.5) absorbance, PM(10) and PM(coarse) in 20 European study areas; results of the ESCAPE project

Land Use Regression (LUR) models have been used increasingly for modeling small-scale spatial variation in air pollution concentrations and estimating individual exposure for participants of cohort studies. Within the ESCAPE project, concentrations of PM(2.5), PM(2.5) absorbance, PM(10), and PM(coarse) were measured in 20 European study areas at 20 sites per area. GIS-derived predictor variables (e.g., traffic intensity, population, and land-use) were evaluated to model spatial variation of annual average concentrations for each study area. The median model explained variance (R(2)) was 71% for PM(2.5) (range across study areas 35-94%). Model R(2) was higher for PM(2.5) absorbance (median 89%, range 56-97%) and lower for PM(coarse) (median 68%, range 32- 81%). Models included between two and five predictor variables, with various traffic indicators as the most common predictors. Lower R(2) was related to small concentration variability or limited availability of predictor variables, especially traffic intensity. Cross validation R(2) results were on average 8-11% lower than model R(2). Careful selection of monitoring sites, examination of influential observations and skewed variable distributions were essential for developing stable LUR models. The final LUR models are used to estimate air pollution concentrations at the home addresses of participants in the health studies involved in ESCAPE.

Utilizing HaloTag Technology to Track the Fate of PCSK9 from Intracellular vs. Extracellular Sources

The function of a particular protein is dependent upon its localization and milieu. The ability to track the "fate" of a protein is a valuable tool to elucidate its function. We present the use of HaloTag technology to study the localization and fate of human Proprotein Convertase Subtilisin-like Kexin type 9 (PCSK9).

The role of PCSK9 in the regulation of circulating low density lipoprotein-cholesterol (LDL-c) levels is ascribed to binding of circulating PCSK9 to the LDL receptor (LDLR) and subsequent lysosomal degradation of LDLR. However, hints in the literature indicate that intracellular PCSK9 may act on the LDLR, possibly during processing of newly synthesized protein. To address this question, the source and fate of intracellular PCSK9 requires further investigation.

We applied HaloTag technology to distinguish the source of intracellular PCSK9 and showed that newly synthesized intracellular PCSK9 has unique localization from the PCSK9 after re-uptake. This suggests different functions of PCSK9 while interacting with the LDLR.

Hippocampal A-type current and Kv4.2 channel modulation by the sulfonylurea compound NS5806

We examined the effects of the sulfonylurea compound NS5806 on neuronal A-type channel function. Using whole-cell patch-clamp we studied the effects of NS5806 on the somatodendritic A-type current (I(SA)) in cultured hippocampal neurons and the currents mediated by Kv4.2 channels coexpressed with different auxiliary β-subunits, including both Kv channel interacting proteins (KChIPs) and dipeptidyl aminopeptidase-related proteins (DPPs), in HEK 293 cells. The amplitude of the I(SA) component in hippocampal neurons was reduced in the presence of 20 μM NS5806. I(SA) decay kinetics were slowed and the recovery kinetics accelerated, but the voltage dependence of steady-state inactivation was shifted to more negative potentials by NS5806. The peak amplitudes of currents mediated by ternary Kv4.2 channel complexes, associated with DPP6-S (short splice-variant) and either KChIP2, KChIP3 or KChIP4, were potentiated and their macroscopic inactivation slowed by NS5806, whereas the currents mediated by binary Kv4.2 channels, associated only with DPP6-S, were suppressed, and the NS5806-mediated slowing of macroscopic inactivation was less pronounced. Neither potentiation nor suppression and no effect on current decay kinetics in the presence of NS5806 were observed for Kv4.2 channels associated with KChIP3 and the N-type inactivation-conferring DPP6a splice-variant. For all recombinant channel complexes, NS5806 slowed the recovery from inactivation and shifted the voltage dependence of steady-state inactivation to more negative potentials. Our results demonstrate the activity of NS5806 on native I(SA) and possible molecular correlates in the form of recombinant Kv4.2 channels complexed with different KChIPs and DPPs, and they shed some light on the mechanism of NS5806 action.

Conversion from mild cognitive impairment to dementia: influence of folic acid and vitamin B12 use in the VITA cohort

OBJECTIVE

Increased serum homocysteine and low folate levels are associated with a higher rate of conversion to dementia. This study examined the influence of vitamin B12/folic acid intake on the conversion from mild cognitive impairment (MCI) to dementia.

PARTICIPANTS

A community dwelling cohort of older adults (N=81) from the Vienna Transdanube aging study with MCI.

DESIGN

Prospective study with a retrospective evaluation of vitamin intake.

MEASUREMENTS

Laboratory measurements, brain magnetic resonance imaging, and cognitive functioning were assessed at baseline and at five-year follow-up.

RESULTS

The self-reported combined use of folic acid and vitamin B12 for more than one year was associated with a lower conversion rate to dementia. Serum levels of homocysteine and vitamin B12 as measured at baseline or at five years were not associated with conversion. Higher folate levels at baseline in females predicted a lower conversion rate to dementia. The assessment of brain morphological parameters by magnetic resonance imaging revealed higher serum folate at baseline, predicting lower medial temporal lobe atrophy and higher levels of homocysteine at baseline, predicting moderate/severe global brain atrophy at five years. Users of vitamin B12 or folate, independent of time and pattern of use, had lower grades of periventricular hyperintensities and lower grades of deep white matter lesions as compared to non-users.

CONCLUSIONS

These results from a middle European study support observations on the protective ability of folate in MCI patients with respect to conversion to dementia; they also point to a participation of homocysteine metabolism on processes associated with brain atrophy.

Denis RD, Stahl T, Stahlman J, Stamen R, Stanecka E, Stanek RW, Stanescu C, Stapnes S, Starchenko EA, Stark J, Staroba P, Starovoitov P, Staude A, Stavina P, Stavropoulos G, Steele G, Steinbach P, Steinberg P, Stekl I, Stelzer B, Stelzer HJ, Stelzer-Chilton O, Stenzel H, Stevenson K, Stewart GA, Stillings JA, Stockmanns T, Stockton MC, Stoerig K, Stoicea G, Stonjek S, Strachota P, Stradling AR, Straessner A, Strandberg J, Strandberg S, Strandlie A, Strang M, Strauss E, Strauss M, Strizenec P, Ströhmer R, Strom DM, Strong JA, Stroynowski R, Strube J, Stugu B, Stumer I, Stupak J, Sturm P, Soh DA, Su D, Subramania HS, Sugaya Y, Sugimoto T, Suhr C, Suita K, Suk M, Sulin VV, Sultansoy S, Sumida T, Sun X, Sundermann JE, Suruliz K, Susinno G, Sutton MR, Suzuki Y, Swedish S, Sykora I, Sykora T, Sánchez J, Ta D, Tackmann K, Taffard A, Tafirout R, Taga A, Taiblum N, Takahashi Y, Takai H, Takashima R, Takeda H, Takeshita T, Talby M, Talyshev A, Tamsett MC, Tanaka J, Tanaka R, Tanaka S, Tanaka S, Tani K, Tannoury N, Tapprogge S, Tardif D, Tarem S, Tarrade F, Tartarelli GF, Tas P, Tasevsky M, Tassi E, Tatarkhanov M, Tayalati Y, Taylor C, Taylor FE, Taylor GN, Taylor W, Teixeira Dias Castanheira M, Teixeira-Dias P, Temming KK, Ten Kate H, Teng PK, Terada S, Terashi K, Terron J, Terwort M, Testa M, Teuscher RJ, Tevlin CM, Therhaag J, Theveneaux-Pelzer T, Thioye M, Thoma S, Thomas JP, Thompson EN, Thompson PD, Thompson PD, Thompson RJ, Thompson AS, Thomson E, Thomson M, Thun RP, Tic T, Tikhomirov VO, Tikhonov YA, Timmermans CJWP, Tipton P, Tique Aires Viegas FJ, Tisserant S, Todorov T, Todorova-Nova S, Toggerson B, Tojo J, Tokár S, Tokunaga K, Tokushuku K, Tollefson K, Tomoto M, Tompkins L, Toms K, Tonazzo A, Tonoyan A, Topfel C, Topilin ND, Torchiani I, Torrence E, Torró Pastor E, Toth J, Touchard F, Tovey DR, Traynor D, Trefzger T, Treis J, Tremblet L, Tricoli A, Trigger IM, Trincaz-Duvoid S, Trinh TN, Tripiana MF, Trischuk W, Trivedi A, Trocmé B, Troncon C, Trottier-McDonald M, Trzupek A, Tsarouchas C, Tseng JCL, Tsiakiris M, Tsiareshka PV, Tsionou D, Tsipolitis G, Tsiskaridze V, Tskhadadze EG, Tsukerman II, Tsulaia V, Tsung JW, Tsuno S, Tsybychev D, Tua A, Tuggle JM, Turala M, Turecek D, Turk Cakir I, Turlay E, Turra R, Tuts PM, Twomey MS, Tykhonov A, Tylmad M, Tyndel M, Typaldos D, Tyrvainen H, Tzanakos G, Uchida K, Ueda I, Ueno R, Ugland M, Uhlenbrock M, Uhrmacher M, Ukegawa F, Unal G, Undrus A, Unel G, Unno Y, Urbaniec D, Urkovsky E, Urrejola P, Usai G, Uslenghi M, Vacavant L, Vacek V, Vachon B, Vahsen S, Valderanis C, Valenta J, Valente P, Valentinetti S, Valkar S, Valladolid Gallego E, Vallecorsa S, Valls Ferrer JA, van der Graaf H, van der Kraaij E, Van Der Leeuw R, van der Poel E, van der Ster D, Van Eijk B, van Eldik N, van Gemmeren P, van Vulpen I, Vandelli W, Vaniachine A, Vankov P, Vannucci F, Vari R, Varnes EW, Varouchas D, Vartapetian A, Varvell KE, Vassilakopoulos VI, Vazeille F, Vegni G, Veillet JJ, Veloso F, Veness R, Veneziano S, Ventura A, Ventura D, Venturi M, Venturi N, Vercesi V, Verducci M, Verkerke W, Vermeulen JC, Vest A, Vetterli MC, Vichou I, Vickey T, Viehhauser GHA, Viel S, Villa M, Villani EG, Villaplana Perez M, Vilucchi E, Vincter MG, Vinek E, Vinogradov VB, Virchaux M, Viret S, Virzi J, Vitale A, Vitells O, Viti M, Vivarelli I, Vives Vaque F, Vlachos S, Vlasak M, Vlasov N, Vogel A, Vokac P, Volpi G, Volpi M, Volpini G, von der Schmitt H, von Loeben J, von Radziewski H, von Toerne E, Vorobel V, Vorwerk V, Vos M, Voss R, Voss TT, Vossebeld JH, Vovenko AS, Vranjes N, Vranjes Milosavljevic M, Vrba V, Vreeswijk M, Vu Anh T, Vuillermet R, Vukotic I, Wagner W, Wagner P, Wahlen H, Wakabayashi J, Walbersloh J, Walch S, Walder J, Walker R, Walkowiak W, Wall R, Waller P, Wang C, Wang H, Wang J, Wang J, Wang R, Wang SM, Warburton A, Ward CP, Warsinsky M, Wastie R, Watkins PM, Watson AT, Watson MF, Watts G, Watts S, Waugh AT, Waugh BM, Weber J, Weber M, Weber MS, Weber P, Weidberg AR, Weigell P, Weingarten J, Weiser C, Wellenstein H, Wells PS, Wen M, Wenaus T, Wendler S, Weng Z, Wengler T, Wenig S, Wermes N, Werner M, Werner P, Werth M, Werthenbach U, Wessels M, Whalen K, Wheeler-Ellis SJ, White A, White MJ, White S, Whitehead SR, Whiteson D, Whittington D, Wicek F, Wicke D, Wickens FJ, Wiedenmann W, Wielers M, Wienemann P, Wiik-Fuchs LAM, Wijeratne PA, Wildauer A, Wildt MA, Wilhelm I, Wilkens HG, Will JZ, Williams E, Williams HH, Willis W, Willocq S, Wilson JA, Wilson MG, Wilson A, Wingerter-Seez I, Winkelmann S, Winklmeier F, Wittgen M, Wolter MW, Wolters H, Wooden G, Wosiek BK, Wotschack J, Woudstra MJ, Wraight K, Wright C, Wright D, Wrona B, Wu SL, Wu X, Wu Y, Wulf E, Wynne BM, Xaplanteris L, Xella S, Xie S, Xu C, Xu D, Yabsley B, Yamada M, Yamamoto A, Yamamoto K, Yamamoto S, Yamamura T, Yamaoka J, Yamazaki T, Yamazaki Y, Yan Z, Yang H, Yang UK, Yang Y, Yang Z, Yanush S, Yao WM, Yao Y, Yasu Y, Ybeles Smit GV, Ye J, Ye S, Yilmaz M, Yoosoofmiya R, Yorita K, Yoshida R, Young C, Youssef S, Yu D, Yu J, Yu J, Yuan L, Yurkewicz A, Zaidan R, Zaitsev AM, Zajacova Z, Zalite YK, Zanello L, Zarzhitsky P, Zaytsev A, Zeitnitz C, Zeller M, Zema PF, Zemla A, Zendler C, Zenin AV, Zenin O, Ženiš T, Zinonos Z, Zenz S, Zerwas D, Zevi della Porta G, Zhan Z, Zhang D, Zhang H, Zhang J, Zhang Q, Zhang X, Zhang Z, Zhao L, Zhao T, Zhao Z, Zhemchugov A, Zhong J, Zhou B, Zhou N, Zhou Y, Zhu CG, Zhu H, Zhu Y, Zhuang X, Zhuravlov V, Zieminska D, Zilka B, Zimmermann R, Zimmermann S, Zimmermann S, Ziolkowski M, Zitoun R, Živković L, Zmouchko VV, Zobernig G, Zoccoli A, Zolnierowski Y, Zsenei A, zur Nedden M, Zutshi V, Zwalinski L. Search for lepton flavour violation in the eμ continuum with the ATLAS detector in [Formula: see text]pp collisions at the LHC

This paper presents a search for the t-channel exchange of an R-parity violating scalar top quark ([Formula: see text]) in the e±μ∓ continuum using 2.1 fb-1 of data collected by the ATLAS detector in [Formula: see text]pp collisions at the Large Hadron Collider. Data are found to be consistent with the expectation from the Standard Model backgrounds. Limits on R-parity-violating couplings at 95 % C.L. are calculated as a function of the scalar top mass ([Formula: see text]). The upper limits on the production cross section for pp→eμX, through the t-channel exchange of a scalar top quark, ranges from 170 fb for [Formula: see text] to 30 fb for [Formula: see text].

Neurobehavioral effects of exposure to traffic-related air pollution and transportation noise in primary schoolchildren

BACKGROUND

Children living close to roads are exposed to both traffic noise and traffic-related air pollution. There are indications that both exposures affect cognitive functioning. So far, the effects of both exposures have only been investigated separately.

OBJECTIVES

To investigate the relationship between air pollution and transportation noise on the cognitive performance of primary schoolchildren in both the home and school setting.

METHODS

Data acquired within RANCH from 553 children (aged 9-11 years) from 24 primary schools were analysed using multilevel modelling with adjustment for a range of socio-economic and life-style factors.

RESULTS

Exposure to NO(2) (which is in urban areas an indicator for traffic-related air pollution) at school was statistically significantly associated with a decrease in the memory span length measured during DMST (χ(2)=6.8, df=1, p=0.01). This remained after additional adjustment for transportation noise. Statistically significant associations were observed between road and air traffic noise exposure at school and the number of errors made during the 'arrow' (χ(2)=7.5, df=1, p=0.006) and 'switch' (χ(2)=4.8, df=1, p=0.028) conditions of the SAT. This remained after adjustment for NO(2). No effects of air pollution exposure or transportation noise exposure at home were observed. Combined exposure of air pollution and road traffic noise had a significant effect on the reaction times measured during the SRTT and the 'block' and the 'arrow' conditions of the SAT.

CONCLUSIONS

Our results provide some support that prolonged exposure to traffic-related air pollution as well as to noise adversely affects cognitive functioning.

Real space soft x-ray imaging at 10 nm spatial resolution

Using Fresnel zone plates made with our robust nanofabrication processes, we have successfully achieved 10 nm spatial resolution with soft x-ray microscopy. The result, obtained with both a conventional full-field and scanning soft x-ray microscope, marks a significant step forward in extending the microscopy to truly nanoscale studies.

Measurement of the ZZ production cross section and limits on anomalous neutral triple gauge couplings in proton-proton collisions at sqrt[s] = 7 TeV with the ATLAS detector

A measurement of the ZZ production cross section in proton-proton collisions at sqrt[s] = 7 TeV using data corresponding to an integrated luminosity of 1.02 fb(-1) recorded by the ATLAS experiment at the LHC is presented. Twelve events containing two Z boson candidates decaying to electrons and/or muons are observed, with an expected background of 0.3 ± 0.3(stat)(-0.3)(+0.4)(syst) events. The cross section measured in a phase-space region with good detector acceptance and for dilepton masses within the range 66 to 116 GeV is σ(ZZ → ℓ+ ℓ- ℓ+ ℓ-)(fid) = 19.4(-5.2)(+6.3)(stat)(-0.7)(+0.9)(syst) ± 0.7(lumi) fb. The resulting total cross section for on-shell ZZ production, σ(ZZ)(tot) = 8.5(-2.3)(+2.7)(stat)(-0.3)(+0.4)(syst) ± 0.3(lumi) pb, is consistent with the standard model expectation of 6.5(-0.2)(+0.3) pb calculated at the next-to-leading order in QCD. Limits on anomalous neutral triple gauge boson couplings are derived.

Black carbon as an additional indicator of the adverse health effects of airborne particles compared with PM10 and PM2.5

BACKGROUND

Current air quality standards for particulate matter (PM) use the PM mass concentration [PM with aerodynamic diameters ≤ 10 μm (PM(10)) or ≤ 2.5 μm (PM(2.5))] as a metric. It has been suggested that particles from combustion sources are more relevant to human health than are particles from other sources, but the impact of policies directed at reducing PM from combustion processes is usually relatively small when effects are estimated for a reduction in the total mass concentration.

OBJECTIVES

We evaluated the value of black carbon particles (BCP) as an additional indicator in air quality management.

METHODS

We performed a systematic review and meta-analysis of health effects of BCP compared with PM mass based on data from time-series studies and cohort studies that measured both exposures. We compared the potential health benefits of a hypothetical traffic abatement measure, using near-roadway concentration increments of BCP and PM(2.5) based on data from prior studies.

RESULTS

Estimated health effects of a 1-μg/m3 increase in exposure were greater for BCP than for PM(10) or PM(2.5), but estimated effects of an interquartile range increase were similar. Two-pollutant models in time-series studies suggested that the effect of BCP was more robust than the effect of PM mass. The estimated increase in life expectancy associated with a hypothetical traffic abatement measure was four to nine times higher when expressed in BCP compared with an equivalent change in PM(2.5) mass.

CONCLUSION

BCP is a valuable additional air quality indicator to evaluate the health risks of air quality dominated by primary combustion particles.