560 m, on a

560 m, on a BAY 80-6946 branch of Fagus sylvatica 4 cm thick, on wood, 10 Sep. 2003, H. Voglmayr, W.J. 2393 (WU 29291, culture C.P.K. 958). Same area, host and

date, partly attacked by a grey mould, W.J. 2394 (part of WU 29291, GF120918 culture C.P.K. 959). Natternbach, NE Oberantlang, MTB 7648/1, 48°23′15″ N, 13°42′18″ E, elev. 550 m, on a branch of Fagus sylvatica, on wood, soc. hyphomycetes, 17 Jul. 2004, H. Voglmayr, W.J. 2529 (WU 29292, culture C.P.K. 1613). Schärding, Kopfing, Ahörndl, MTB 7547/2, elev. 730 m, on a branch of Betula pubescens lying in moss, 15 Aug. 2006, H. Voglmayr, W.J. 2929 (WU 29295, culture C.P.K. 2438). Vorarlberg, Bludenz, Nenzing, Rabenstein, at Beschling, MTB 8824/1, 47°11′20″ N, 09°40′34″ E, elev. 660 m, on a decorticated branch of Fagus sylvatica 4–5 cm thick, on wood, soc. Nemania-anamorph, 29 Aug. 2004, H. Voglmayr & W. Jaklitsch, W.J. 2631 (WU 29293, culture C.P.K. 2016). Same area, 47°11′24″ N, 09°40′16″ E, elev. 680 m, on partly decorticated branch of Corylus avellana 3 cm thick, on wood, also below bark, holomorph, 29 Aug. 2004, W. Jaklitsch & H. Voglmayr, W.J. 2633 (WU 29294, culture C.P.K. 1969). Notes: The stromata of Hypocrea neorufa are typical for teleomorphs of Trichoderma section Trichoderma, while the cortical cells are more distinct, also the dark colour is remarkable, as is the yellow perithecial wall. Conspicuous is

also the colour change from bright yellow in fresh young stromata to brown upon drying or incubation find more in a moist chamber. The yellow peridium helps to distinguish this species and H. neorufoides from species like H. petersenii and H. subeffusa, which are also characterised by dark brown stromata, tetracosactide but have hyaline peridia. H. neorufoides is indistinguishable in teleomorph morphology from H. neorufa. Fresh mature stromata may sometimes resemble those of Hypoxylon fuscum in colour, but have a smooth even surface instead

of large perithecial mounds in the latter fungus. Hypocrea neorufa was described by Dodd et al. (2002). See this paper for a more detailed description of the conidiophores of the pustulate conidiation. Although phylogenetically belonging to Trichoderma section Trichoderma, the anamorph of H. neorufa deviates in having both effuse and pustulate stages differing in structure from each other, and also in the pachybasium-like conidiophores in pustules. Hypocrea neorufoides Jaklitsch, sp. nov. Fig. 10 Fig. 10 Teleomorph of Hypocrea neorufoides. a–f. Fresh stromata (a, b, d. immature). g–j. Dry stromata (g, j. immature). k. Stroma surface in face view. l. Rehydrated stroma surface showing ostiolar openings. m. Rehydrated stroma. n. Perithecium in section. o. Cortical and subcortical tissue in section. p. Subperithecial tissue in section. q. Stroma base in section. r–u. Asci with ascospores (u. in cotton blue/lactic acid). a, f, g. WU 29301. b, j, k, n–q, s. WU 29300. c, h, l, m, r. WU 29296. d, t, u. WU 29304. e, i.

Figure 3 Enzymatic activities of PhaC and PhaZ during

Figure 3 Enzymatic activities of PhaC and PhaZ during growth of P. putida U on octanoate. P. putida U was grown on 15 mM octanoate in nitrogen limited medium (0.2 NE2). Culture aliquots were harvested, resuspended to 1 mg total

protein/ml and lysed by three passages through a French pressure cell and analyzed for non-PHA biomass (x, right scale), accumulation of mcl-PHA relative to the total cell dry weight (cdw) LXH254 solubility dmso (filled circle, right scale), activities of PhaC (open square, left scale) and PhaZ (open triangle, left scale). Data represent the average of two measurements. Cell cultures reached a Alisertib purchase maximum biomass of 1.3 g/l with a maximum PHA content of 49% relative to the total SB273005 mw cell dry weight. By substraction of the amount of PHA from the total amount of biomass, the residual biomass was calculated. High PhaC activity was found in the early growth stages with a maximum of 21 U/g total proteins. Surprisingly, PhaC activity decreased at least 5-fold during growth, reaching an activity of only 6 U/g total protein in the early/mid stationary growth phase, and 4 U/g total protein in the late stationary growth phase. Western blot analysis using specific anti-PhaC1

antibodies demonstrated that the decrease in PhaC activity is not due to a decrease of expression of PhaC. In fact, the cellular amount of PhaC increased slightly during growth (Figure 4). Therefore, it is very likely that during exponential growth, the specific activity of PhaC (in U/mg PhaC) is reduced dramatically. Figure 4 Western blot analysis of PhaC1 in P. putida U harvested at different growth stages. P. putida U was grown on 15 mM octanoate in nitrogen limited medium (0.2 NE2). Antibodies specific against PhaC1 were used to follow PhaC1 levels in P. putida U cells grown on octanoate and harvested after 8 (lane 1), 14 (lane 2) and 25 hours (lane 3). All lanes were loaded with an equal amount of cellular protein (20 μg). In contrast to PhaC, the PhaZ activity

increased slightly during growth with values varying from 5-10 U/g total proteins. PhaZ activity was already obvious in the very early stages of PHA accumulation (i.e 5.5 U/g total proteins in the early exponential growth phase). PhaZ could not be detected in crude cell extracts due to the lack of a sensitive Urease anti-PhaZ antibody. Thus, the specific activity could not be estimated. To understand the observed decrease of PhaC activities and increase of PhaZ activities, PHA granules were isolated from P. putida U after 8, 14, 20 and 25 hours of growth on octanoate. All four granule preparations were analyzed by SDS-PAGE in order to see differences in protein composition (Figure 5). No significant changes could be observed between the different granule preparations, except that the amount of the phasin PhaF was slightly decreased after 14 hours.

Next day, beads were washed three times with PBS, and the capture

Next day, beads were washed three times with PBS, and the captured proteins were resolved on a 12% SDS-PAGE gel. Proteins were transferred into a nitrocellulose membrane and blocked overnight with Odyssey blocking

buffer (Li-Cor) in TBS (Tris-buffered saline). The membranes were probed with EEA1, buy SCH772984 CREB-1, MARCO and α-tubulin antibodies (Santa Cruz Biotechnology) for 1 h and after, incubated with appropriate secondary antibodies (Li-Cor) in TBS for 1 h. Proteins were visualized by scanning of the membranes in the Odyssey Imager (Li-Cor, Lincoln, NE). Concentration of single elements in the phagosome Human monocyte-derived macrophages were purified as previously described [17, 28], seeded on 200-mesh IDO inhibitor Formvar-coated London finder gold grids (Electron Microscopy Sciences) and cultured selleck products in RPMI-1640 supplemented with 10% FBS. The monolayers were infected with mycobacteria (MOI 10) for 1 h and subsequently washed with PBS. The monolayers were maintained in culture for 1 h or 24 h, then fixed and prepared for x-ray microscopy, as previously reported [17, 44], and the phagosome was obtained [17, 44, 45]. Elemental maps were extracted from x-ray fluorescence spectra, using the software package MAPS [47], and quantification was achieved by measuring x-ray fluorescence

from NIST thin-film standards NBS 1832 and NBS 1833 (National Bureau of Standards, Gaithersburg, MD, USA), prior to, during, and after the experiments. Calibration curves and calculations were carried out as described [17, 44, 45]. Statistical analysis of observed elemental changes was performed by comparing the concentration of the respective elements using Student’s-t test. A p < 0.05 was considered significant. Statistical analysis Comparisons between control and experimental groups were submitted to statistical analysis to determine the significance. Statistical analysis of the means ± SD was determined by ANOVA. A p < 0.05 was considered significant. A DNA microarray was carried out three independent times, while the proteomic analysis of vacuole proteins was performed twice. Acknowledgements We are grateful for the support of the Mass Spectrometry

Core Facility of the Environmental Health Sciences Center, Oregon State University, and from grant number P30 ES00210, from National Institute MycoClean Mycoplasma Removal Kit of Environmental Health Sciences, National Institutes of Health. This work was also supported by the NIH grants # AI47010 and AI043199. We thank Denny Weber for help in preparing the manuscript. References 1. Falkinham JO: Epidemiology of infection by nontuberculous mycobacteria. Clin Microbiol Rev 1996,9(2):177–215.PubMed 2. Inderlied CB, Kemper CA, Bermudez LE: The Mycobacterium avium complex. Clin Microbiol Rev 1993,6(3):266–310.PubMed 3. Aksamit TR: Mycobacterium avium complex pulmonary disease in patients with pre-existing lung disease. Clin Chest Med 2002,23(3):643–653.PubMedCrossRef 4.

BMC check details<

BMC Genomics 2012, 13:32.PubMedCrossRef 45. Lienau EK, Strain E, Wang C, Zheng J, Ottesen AR, Keys CE, Hammack TS, Musser SM, Brown EW, Allard MW, Cao G, Meng J, Stones R: Identification selleck chemicals of a salmonellosis outbreak by means of molecular sequencing. N Engl J Med 2011,364(10):981–982.PubMedCrossRef 46. Okoro CK, Kingsley RA, Quail MA, Kankwatira AM, Feasey NA, Parkhill J, Dougan G, Gordon MA: High-resolution single nucleotide polymorphism analysis distinguishes recrudescence and reinfection in recurrent invasive nontyphoidal Salmonella

Typhimurium disease. Clin Infect Dis 2012, 54:955–963.PubMedCrossRef 47. Leekitcharoenphon P, Lukjancenko O, Friis C, Aarestrup FM, Ussery DW: Genomic variation in Salmonella enterica core genes for epidemiological typing. BMC Genomics 2012, 13:88.PubMedCrossRef 48. Köser XAV-939 purchase C, Ellington M, Cartwright E: Routine use of microbial whole genome sequencing in diagnostic and public health microbiology. PLoS Pathog 2012, 8:e1002824.PubMedCrossRef 49. Kaldhone P, Nayak R, Lynne AM, David DE, McDermott PF, Logue CM, Foley SL: Characterization of Salmonella enterica serovar Heidelberg from turkey-associated sources. Appl Environ Microbiol 2008, 74:5038–5046.PubMedCrossRef 50. Xi M, Zheng J, Zhao S, Brown EW, Meng J: An enhanced discriminatory pulsed-field

gel electrophoresis scheme for subtyping Salmonella serotypes Heidelberg, Kentucky, SaintPaul, and Hadar. J Food Prot 2008, 71:2067–2072.PubMed 51. Zheng J, Keys CE, Zhao S, Meng J, Brown EW: Enhanced subtyping scheme for Salmonella Enteritidis. Emerg Infect Dis 2007, 13:1932–1935.PubMedCrossRef

52. Hyytiä-Trees EK, Cooper K, Ribot EM, Gerner-Smidt P: Recent developments and PLEKHM2 future prospects in subtyping of foodborne bacterial pathogens. Future Microbiol 2007, 2:175–185.PubMedCrossRef 53. Sandt CH, Krouse DA, Cook CR, Hackman AL, Chmielecki WA, Warren NG: The key role of pulsed-field gel electrophoresis in investigation of a large multiserotype and www.selleckchem.com/products/z-ietd-fmk.html multistate food-borne outbreak of Salmonella infections centered in Pennsylvania. J Clin Microbiol 2006, 44:3208–3212.PubMedCrossRef 54. Hunter PR, Gaston MA: Numerical index of the discriminatory ability of typing systems: an application of Simpson’s index of diversity. J Clin Microbiol 1988, 26:2465–2466.PubMed Competing interests The authors declare that they have no competing interests. Authors’ contributions NS designed, coordinated and carried out the experiments and bioinformatics analyses and wrote the manuscript. CS isolated bacterial cultures and did the PFGE. MD and RB participated in the CRISPR alignment analysis. ED conceived of the study, participated in the design and coordination of the study and helped to write the manuscript. All authors read and approved the final manuscript.

Marek’s Disease (MD) is a lymphomatous disease of chickens caused

Marek’s Disease (MD) is a lymphomatous disease of chickens caused by the MD α-herpesvirus (MDV) and is a unique natural model for human Autophagy inhibitor Hodgkin’s (HL) and non-Hodgkin’s lymphomas (NHL) which overexpress CD30 (CD30hi; a.k.a. tumor necrosis receptor superfamily member

[TNSFR-8] or the “Hodgkin’s disease antigen”) [3]. MD is a general model for CD30hi T cell lymphomas which includes anaplastic large cell lymphoma, primary cutaneous anaplastic large cell lymphoma, adult T-cell leukemia/lymphoma, peripheral T-cell lymphoma, natural killer (NK)/T-cell lymphoma, nasal and enteropathy type T cell lymphoma [3, 4]. Like its human homologs, MD lymphomas are heterogeneous mixture of minority population of transformed cells (CD30hi) surrounded by majority population of non transformed normal immune cells [5, 6]. However, MD transformed cells www.selleckchem.com/products/oicr-9429.html Temsirolimus purchase are not inherently immortal; they depend upon the local lymphoma environment for their survival and growth [5, 6]. MD has advantage over murine models of lymphoma as it provides an opportunity to study the phenomenon of genotype dependent tumor regression as a model of spontaneous human lymphoma regression [7]. All chicken genotypes

are susceptible to MDV infection, neoplastic transformation and microscopic lymphoma development. However, from 21 days

post infection (dpi) these microscopic lesions regress in MD resistant genotypes but progress to gross lymphomas in MD susceptible genotypes [6, 8]. The fundamental genetic basis for the difference in lymphoma-regressing and progressing genotypes is poorly understood, though a very large body of work over almost 40 years has Cytidine deaminase implicated several host immune factors, including innate cell-mediated immunity (CMI; including NK cells, monocytes); humoral, antigen-specific MHC class I-restricted cytotoxic T lymphocyte (CTL) immunity and cytokines (reviewed in [9]). At 21 dpi progressing lymphomas are CD4+ and CD4+ CD30hi predominant with few CD8α+ T cells, whereas regressing lymphomas have many CD8α+ T cells, fewer CD4+ CD30hi cells and the CD30 expression—though still above physiological levels in activated T cells [6]—is lower than in progressing lymphomas [8]. The neoplastically transformed MD lymphoma cells also have cytokine and other gene expression most similar to regulatory CD4+ T lymphocytes (T-reg) [5]. Here we test our hypothesis that, at the pivotal 21 dpi time point MD-resistant chicken genotypes have a tissue microenvironment congruent with CTL, where-as the tissue microenvironment in MD-susceptible genotypes is antagonistic to CTL.

2002;30(9):721–8

18 Yorikane R Unique cardiac effect o

2002;30(9):721–8.

18. Yorikane R. Unique cardiac effect of azelnidipine, a novel calcium antagonist [in Japanese]. Bio Clin. 2003;18(13):1210–5. 19. Palatini P, Benetos A, Julius S. Impact of increased heart rate on clinical outcomes in hypertension: implications for antihypertensive drug therapy. Drugs. 2006;66(2):133–44.PubMedCrossRef 20. Okabayashi J, Matsubayashi Autophagy inhibitor K, Sato T, et al. Effects of nifedipine and enalapril on the central nervous system in elderly hypertensive patients: power spectral analysis of heart rate variability [in Japanese]. Jpn J Geriatr. 1994;31(4):285–92.CrossRef 21. Eguchi K, Kario K, Shimada K. Differential effects of a long-acting angiotensin converting enzyme inhibitor (temocapril) and a long-acting calcium antagonist (amlodipine) on ventricular ectopic beats in older hypertensive Belnacasan cost patients. Hypertens Res. 2002;25(3):329–33.PubMedCrossRef 22. Kitai T, Yoshida Y, Kuramoto K, et al. Use-results survey of azelnidipine (Calblock®) tablet [in Japanese]. J Clin Ther Med. 2005;21:511–27. 23. UK Prospective Diabetes Study Group. Efficacy of atenolol and captopril in reducing risk of macrovascular and microvascular complications in type 2 diabetes: UKPDS 39. BMJ. 1998;317(7160):713–20.CrossRef

24. Nippon Data 80 Research Group. Impact of elevated blood pressure on mortality from all causes, cardiovascular diseases, heart disease and stroke among Japanese: 14 year follow-up of randomly selected population from Japanese-Nippon data 80. J Hum Hypertens. 2003;17(12):851–7.”
“1 Introduction Risperidone is a benzisoxazole derivate see more belonging to the class of second-generation antipsychotics. It selectively antagonizes the dopamine (D2) and serotonin (5-HT2) receptor systems in the brain and

has a lower propensity than classical neuroleptics such as haloperidol to induce extrapyramidal adverse events (AEs) at therapeutic doses [1–3]. Risperidone is effective in the treatment of schizophrenia and other psychiatric illnesses in adults and children [4, 5]. Risperidone is well absorbed (94%) after oral administration, reaching the maximum plasma concentration (Cmax) within 1–2 hours. Food does not affect the rate or the extent of absorption of risperidone. The volume of distribution is 1–2 L/kg, and the plasma protein binding of risperidone is 90% [6]. Risperidone is extensively metabolized Carteolol HCl in the liver. The main metabolic pathway is 9-hydroxylation by cytochrome P450 (CYP) 2D6, and the principal metabolite, 9-hydroxy-risperidone, has been shown to be nearly equipotent to risperidone in animal studies [7, 8]. Because CYP2D6 is subject to genetic polymorphism, the elimination half-life (t½) of risperidone has been shown to be about 3 hours in extensive metabolizers and 20 hours in poor metabolizers, while the t½ of 9-hydroxy-risperidone was about 21 hours in extensive metabolizers and 30 hours in poor metabolizers [7]. Risperidone and its metabolites are eliminated via the urine (70%) and, to a much lesser extent, via the feces [9].

The low contact

The low contact see more angle (high wettability), presence of oxygen in the surface layer, and rough surface of the substrate are prerequisites for successful VSMC adhesion. Thus, the difference in the number of proliferated cells between annealed and relaxed samples can be attributed to the different elemental compositions of the surface layer and resulting different wettability. From Figure 4A,B, it is evident that the cell proliferation on the other samples, sputtered

for longer times, is very low. Sputtering for longer times (100 and 200 s), which leads to the formation of homogenous and continuous metal coverage, has a negative effect on cell interaction from the long-term point of view. The above results are illustrated on the photographs of the adhered (first day from seeding) and proliferated (seventh day from seeding) cells on the relaxed and annealed samples (Figure 5). The cells cultivated for 24 h are equally distributed on the surface. The cells on the samples that are as-sputtered for 20 s and those on subsequently annealed samples start spreading, and their adhesion increases; however, the cells on the samples sputtered for 200 s and coated completely with

silver stay small and round shaped. After 7 days from the seeding, the cells on the samples sputtered for 20 s are numerous and evenly distributed over the sample surface. The cell proliferation on the samples sputtered Fosbretabulin purchase Staurosporine ic50 for 200 s is much worse. In the case of the as-sputtered layer, the silver forms homogenous coverage, completely shading the original polymer surface. After annealing of the thicker Ag layer, a dramatic coalescence of silver into distinctive hummock-like structures takes place, the CYT387 supplier latter being high enough to prevent a contact between polymer substrate and adhered cells. Figure 5 Photographs of adhered and proliferated VSMCs.

Photographs of VSMCs adhered (first day) and proliferated (seventh day) on Ag-coated PTFE with different deposition times (20 and 200 s) for as-sputtered and annealed samples. Conclusions The properties of silver layers sputtered on PTFE for different times and their changes under annealing were studied by different methods. The biocompatibility of the samples prepared under different conditions was examined in vitro experiments with vascular smooth muscle cells. Relations between physicochemical properties of silver layers and their biocompatibility were found. Coating with silver leads to an increase of surface wettability, which is further affected by oxidized structures adsorbed by the sample surface. With the increasing thickness of the silver layer, an increase of the oxygen concentration is also observed which is explained by high affinity of silver to oxygen and oxidized structures.

vaginalis

strains Two of the three completely sequenced G

vaginalis

PD-1/PD-L1 cancer strains Two of the three completely sequenced G. vaginalis genomes, 12 of the 18 draft genomes in GenBank, and 6 of the LY2835219 order 17 G. vaginalis clinical isolates contained a cas gene cluster and a CRISPR locus. Sequences consisting of repeats/spacers adjacent to the cas genes were considered CRISPR sequences. The CRISPR/Cas loci in the majority of strains were located between the core gene clpC and the gene encoding tRNAGly (Figure 1). Figure 1 Position of CRISPR/Cas locus on the chromosome of G. vaginalis . The flanking sequence region shared by several strains downstream of the CRISPR array is marked by vertical dashed lines. The region between the 3′-end of clpC and the cas genes had ORFs encoding hypothetical proteins and was variable in length (~5-19 kbp), depending on the strain. The region between the 3′-end of the CRISPR array and the gene encoding tRNACys was not conserved among G. vaginalis strains and varied in length (0.4-1.8 kbp) from strain to strain. The CRISPR/Cas loci of strains 409–05,

00703B, and 00703C2 had different flanking sequences surrounding them. Notably, the region downstream of the CRISPR arrays found in clinical isolates GV21, GV30, GV22, and GV25 corresponded to that found in the genome of the ATCC14019 strain; while the CRISPR flanking sequences on the right, determined in the this website GV28 and GV33 strains, did not show any similarity to the sequences detected downstream of the G. vaginalis CRISPRs. Due to the variability of the flanking sequences downstream of the CRISPR locus and long CRISPR amplicon, strains GV28 and GV30 contained cas genes but did not produce PCR products. The CRISPR sequences in those two strains were identified using the spacer-crawling approach described in the Methods section. The sequences of the amplified CRISPR regions of six G. vaginalis strains analysed in this study were deposited to GenBank database under the Accession numbers JX215337-JX215342.

The cas loci of G. vaginalis consisted of the cas genes cas3 cse1 cse2 cse4 cas5 cas6e PLEK2 cas1 cas2. The detected gene cluster belongs to type I, subtype I-E, known as Ecoli [35]. CRISPR loci were located downstream of cas2 and contained from 1 to 50 spacer sequences. Amplification of the regions containing different cas genes was performed to eliminate false-negative PCRs for CRISPR sequences. PCR products consisting of different sets of cas genes (cas5 cas6e cas1 cas2, cas3 cse1, cse2 cas5, cas5, and cas2) were obtained from clinical isolates identified as being PCR-positive for CRISPR sequences. The sequences of cas2 and cas5 were subjected to sequencing, and their sequences were deposited in GenBank under the Accession numbers JX215343-JX215345. Characterisation of CRISPR repeat and spacer sequences The repeat sequence found in the CRISPR loci of the 20 G. vaginalis strains consisted of 28 bp (Figure 2A), while the spacers in the loci varied in size from 33 to 34 bp.

The sequence was assembled in Bionumerics version 4 0 (Applied Ma

The sequence was assembled in Bionumerics version 4.0 (Applied Math, Sint-Martens-Latem, Belgium) and checked for chimeras both by blasting the individual sequences in GenBank http://​www.​ncbi.​nlm.​nih.​gov and by the software Pintail version 1.1 http://​www.​cardiff.​ac.​uk/​biosi/​research/​biosoft/​. The phylogenetic analysis of the clones belonging to the Escherichia genus was done by downloading 16S rRNA gene sequences longer than 1,200 bp from the

RDP v.9 database of the Escherichia type strains http://​rdp.​cme.​msu.​edu. The sequences were trimmed to the same length of 1327 bp and aligned pairwise (UPGMA) followed by a global sequence alignment. A final phylogenetic tree was constructed by using the WARD algorithm where Enterobacter MDV3100 cell line sakazakii (AB004746) was used as outgroup. Acknowledgements

The authors wish to thank Hanne H. Møller, Katja Kristensen and Johanna Z Amenuvor for technical assistance in the laboratories. Also thanks to Stina Vesterholm for helping collecting tissues. This work was supported by Kongeriget Danmark’s Horseinsurance g/s and Intervet Denmark. Sponsors had no involvement in the practical part or conclusions of this study. References 1. Lorenzo-Figueras M, Merritt AM: Effects of exercise on gastric volume and pH in the proximal portion of the stomach of horses. Am J Vet Res 2002, 63:1481–1487.PubMedCrossRef 2. Murray MJ, learn more Nout YS, Ward DL: Endoscopic findings of the gastric antrum and pylorus in horses: 162 cases (1996–2000). Org 27569 J Vet Intern Med 2001, 15:401–406.PubMed 3. Begg LM, O’Sullivan CB: The prevalence and distribution of gastric ulceration in 345 racehorses. Aust Vet J 2003, 81:199–201.PubMedCrossRef 4. De Groote D, Van Doorn LJ, Van den BK, Vandamme P, Vieth M, Stolte M, Debongnie JC, Burette A, Haesebrouck F, Ducatelle R: Detection of non-pylori Helicobacter

species in “”Helicobacter heilmannii”"-infected humans. Helicobacter 2005, 10:398–406.PubMedCrossRef 5. Heilmann KL, Borchard F: Gastritis due to spiral shaped bacteria other than Helicobacter pylori: clinical, histological, and ultrastructural findings. Gut 1991, 32:137–140.PubMedCrossRef 6. Peter S, Beglinger C: Helicobacter pylori and gastric cancer: the causal MK 8931 clinical trial relationship. Digestion 2007, 75:25–35.PubMedCrossRef 7. Cattoli G, van Vugt R, Zanoni RG, Sanguinetti V, Chiocchetti R, Gualtieri M, Vandenbroucke-Grauls CMJE, Gaastra W, Kusters JG: Occurrence and characterization of gastric Helicobacter spp. in naturally infected dogs. Vet Microbiol 1999, 70:239–250.PubMedCrossRef 8. De Groote D, van Doorn LJ, Ducatelle R, Verschuuren A, Haesebrouck F, Quint WGV, Jalava K, Vandamme P: ‘Candidatus Helicobacter suis’, a gastric helicobacter from pigs, and its phylogenetic relatedness to other gastrospirilla. Int J Syst Evol Microbiol 1999, 49:1769–1777. 9.

Psychol Med 32:333–345CrossRef Chandola T, Martikainen P, Bartley

Psychol Med 32:333–345CrossRef Chandola T, Martikainen P, Bartley M, Lahelma E, Marmot M, Michikazu S, Nasermoaddeli A, Kagamimori S (2004) Does conflict between home and work explain the effect of multiple roles on mental health? A comparative CB-839 purchase study of Finland, Japan, and the UK. Int J Epidemiol 33:884–893CrossRef Clays E, De Bacquer D, Leynen F, Kornitzer M, Kittel F, De Backer G (2007) Job stress and depression symptoms in middle-aged workers—prospective

results from the Belstress study. Scand J Work Environ Health 33:252–259 de Jonge J, Dormann C (2003) The DISC model: GDC-0973 order demand induced strain compensation mechanisms in job stress. In: Dollard MF, Winefield AH, Winefield HR (eds) Occupational stress in the service professions. Taylor & Francis, London, pp 43–74CrossRef Demerouti E, Bakker AB, Nachreiner F, Schaufeli WB (2001) The job demands-resources model of burnout. J Appl Psychol 86:499–512CrossRef Eriksson I, Undén AL, Elofsson S (2001) Self-rated health. Comparisons between three different measures. Results from a population study. Int J Epidemiol 30:326–333CrossRef Gardell B (1982) Scandinavian research on stress in working life. Int J Health Serv 12:31–41CrossRef Apoptosis antagonist Goldberg DP (1972) The detection of psychiatric illness by questionnaire: a technique for the identification

and assessment of non-psychotic psychiatric illness. Oxford University, London Greenland

S (1993) Basic problems in interaction assessment. Environ Health Perspect 101(Suppl 4):59–66CrossRef Griffin JM, Greiner BA, Stansfeld SA, Marmot M (2007) The effect of self-reported and observed job conditions on depression and anxiety symptoms: a comparison of theoretical models. J Occup Health Psychol 12:334–349CrossRef Grzyb GJ (1981) Decollectivization and recollectivization in the workplace: the impact of technology on informal work groups and work culture. Econ Ind Democr 2:455–482CrossRef Cell press Hogan MD, Kupper LL, Most BM, Haseman JK (1978) Alternatives to Rothman’s approach for assessing synergism (or antagonism) in cohort studies. Am J Epidemiol 108(1):60–67 Hosmer DW, Lemeshow S (1992) Confidence interval estimation of interaction. Epidemiology 3(5):452–456CrossRef Hotopf M, Mayou R, Wadsworth M, Wessely S (1998) Temporal relationships between physical symptoms and psychiatric disorder. Results from a national birth cohort. Br J Psychiatry 173:255–261CrossRef House JS (1981) Work stress and social support. Addison-Wesley, Reading Houtman I (2005) Work-related stress. Available via http://​www.​eurofound.​europa.​eu/​pubdocs/​2005/​127/​en/​1/​ef05127en.​pdf. Accessed 1 Mar 2006 Johnson JV (1991) Collective control: strategies for survival in the workplace.