Statistical analysis Means and standard deviations of the quantit

The normality of the distribution was checked. Comparisons between data from before HSP inhibitor and after the three-month dietary intervention were carried out using a t-test for independent variables. Connection between energy availability and LH serum concentration were carried out using Spearman’s rank correlation test. Statistical analyses were performed using Statistica 8.0 software (StatSoft, 2008). P-values of

less than 0.05 were considered statistically significant. Results Subjects characteristic The subject characteristics of those who completed the study are shown in Table 1. The investigated group consisted of 5 secondary amenorrheic subjects and 26 oligomenorrheic subjects. Table 1 Baseline group characteristics M ± SD Parameters Baseline characteristics Age (years) 18.1 ± 2.6 Age at menarche (years) 13.0 ± 1.2 Age at the beginning of training (years) 11.2 ± 3.5 Training period (years) 6.8 ± 3.3 Number of training session per week (n/d) 5.2 ± 1.1 Hours of training per day (hours/d) 4.0 ± 1.8 Hours of training per week (hours/wk) 19.5 ± 7.2 RMR predicted (kcal/d) 1458 ± 56 RMR measured (kcal/d) 1354 ± 151 RMR

measured/predicted*100% 92.8 ± 10.0 RMR measured – RMR predicted click here (kcal/d) −105.0 ± 146.8 RMR/FFM (kcal/kg) 29.0 ± 3.6 Hormonal parameters TSH (0.35 –4.94 μIU/ml) 1.74 ± 0.80 (0.74–4.37) PRL (5.18–26.53 ng/ml) 13.0 ± 9.33 (3.71–50.5) T (10–90 ng/dl) 37.28 ± 21.85

(0.15–90.0) SHBG (19.80–155.20 nmol/l) Urease 62.79 ± 41.91 (18.0–228.4) Effect of the three month dietary intervention on energy and nutrient intake, energy balance, energy availability, body weight and composition Three months of dietary intervention changed dietary habits of the study participants and resulted in significant increase in energy (mean 234 kcal/d), protein (mean 8 g/d), carbohydrate (mean 66.8 g/d), calcium (mean 146 mg/d), magnesium (mean 56 mg/d), vitamin A (450.9 mg/d), vitamin D (0.67 μg/d), foliate (mean 49.2 μg/d) and vitamin C (mean 53.9 mg/d) intake. EB and EA before and after the intervention differed significantly in the study subjects (mean 237 kcal/d and 7.5 kcal/kg FFM/d, respectively) (Table 2). No significant changes in athletes’ body weight, BMI and body composition were observed (Table 3). Table 2 Energy and nutrients intake at 0 and 3 measurement points M ± SD Energy and nutrients 0 3 p – value* Energy (kcal) 2354 ± 539 2588 ± 557 0.041 Fat (g) 92.2 ± 27.5 84.2 ± 20.4 NS Protein (g) 75.6 ± 14.8 85.5 ± 15.6 0.004 Carbohydrate (g) 305.4 ± 78.0 372.2 ± 86.3 < 0.001 Dietary fiber (g) 20.1 ± 5.4 21.8 ± 5.4 NS Calcium (mg) 816.3 ± 232.9 963.3 ± 247.5 0.021 Phosphors (mg) 1442.0 ± 333.9 1435.1 ± 327.4 NS Iron (mg) 11.1 ± 3.3 12.8 ± 3.2 NS Zink (μg) 10.1 ± 3.0 11.0 ± 2.8 NS Magnesium (mg) 275.0 ± 87.5 331.0 ± 80.7 0.

v-viCrossRef 8 Billat VL, Demarle A, Slawinski J, Paiva M, Koral

v-viCrossRef 8. Billat VL, Demarle A, Slawinski J, Paiva M, Koralsztein JP: Physical and training characteristics of top-class marathon runners. Med Sci Sports Exerc 2001,33(12):2089–2097.PubMedCrossRef 9. di Prampero PE, Atchou G, Bruckner JC, Moia

C: The energetics of endurance running. Eur J Appl Physiol Occup Physiol 1986,55(3):259–266.PubMedCrossRef 10. Rapoport BI: Metabolic factors limiting performance in marathon runners. PLoS Comput Biol 2010,6(10):1–13.CrossRef 11. Hargreaves M, Angus D, Howlett K, Conus NM, Febbraio M: Effect of heat stress on glucose kinetics during exercise. J Appl Physiol 1996,81(4):1594–1597.PubMed 12. Sawka MN, Burke LM, Eichner ER, Maughan RJ, Montain SJ, Stachenfeld NS, American College of Sports M: American College of Sports Medicine position stand. Exercise and fluid replacement. BVD-523 nmr Med Sci Sports Exerc 2007,39(2):377–390.PubMedCrossRef 13. Bar-Or O: Effects of age and gender on sweating pattern during exercise. Int J Sports Med 1998,19(Suppl 2):S106-S107.PubMedCrossRef

14. Kelley GA, Lowing L, Kelley K: Gender differences in the aerobic fitness levels of young African-American adults. J Natl Med Assoc 1999,91(7):384–388.PubMedCentralPubMed 15. Mehnert P, Brode P, Griefahn B: Gender-related difference in sweat loss and its impact on exposure limits to heat stress. Int J Ind Ergonom 2002,29(6):343–351.CrossRef 16. Kaciuba-Uscilko H, Grucza R: Gender differences in thermoregulation. Curr Opin Clin Nutr Metab Care 2001,4(6):533–536.PubMedCrossRef 17. Hessemer V, Bruck K: Influence of menstrual-cycle on shivering, skin blood-flow, and sweating responses measured at night. J Appl mafosfamide Physiol 1985,59(6):1902–1910.PubMed click here 18. Toner MM, Sawka MN, Foley ME, Pandolf KB: Effects of body mass and morphology on thermal responses in water. J Appl Physiol 1986,60(2):521–525.PubMedCrossRef 19. Gagge AP, Stolwijk JAJ, Hardy JD: Comfort and thermal sensations and associated

physiological responses at various ambient temperatures. Environ Res 1967,1(1):1–20.PubMedCrossRef 20. Glickman EL, Peacock C, Gunstad J, Kakos L, Burns KJ, Pollock B, Feeback M, Seo Y: A thermal perception scale for use during rest and exercise in 37°C ambient air [abstract]. Med Sci Sports Exerc 2013,45(5):S70. 21. Armstrong LE: Exertional Heat Illnesses. Champaign, IL: Human Kinetics; 2003. 22. Brooks GA, Fahey TD, Baldwin KM: Exercise Physiology: Human Bioenergetics and Its Applications with PowerWeb Bind-in Card. New York, NY: McGraw-Hill Higher Education; 2004. 23. Davis JM, Burgess WA, Slentz CA, Bartoli WP, Pate RR: Effects of ingesting 6% and 12% glucose/electrolyte beverages during prolonged intermittent cycling in the heat. Eur J Appl Physiol Occup Physiol 1988,57(5):563–569.PubMedCrossRef 24. Armstrong LE: Assessing hydration status: the elusive gold standard. J Am Coll Nutr 2007,26(Suppl 5):575S-584S.PubMedCrossRef Competing interests The authors declare that they have no competing interests.

Figure 6

Plan-view SEM images of ZnO nanostructures They

Figure 6

Plan-view SEM images of ZnO nanostructures. They are grown (a) without surfactants, (b) with 0.1 ml PEI, and (c) with 2.5 mg of sodium citrate (per 40 ml of reaction solution), at 0.05 M, 80°C for 5 h. (d) PL spectra of ZnO nanostructures in (a), (b), and (c). It is well known that the optical properties of ZnO nanostructures are crucially dependent on their morphology. In addition, the optical properties of ZnO nanostructures would be improved due to surface passivation effects of polymer surfactants [27, 28]. Thus, the PL measurements were performed to evaluate the BMN 673 concentration optical quality of the obtained ZnO nanostructures, and the corresponding results were shown in Figure 6d. It can be seen that the PL spectrum of the ZnO nanorods grown with no surfactant exhibits a dominant UV emission at 377 nm, along with a weak visible emission around 520 nm. Generally, the UV emission is due to the near-band edge (NBE) emission of ZnO, and the visible emission can be attributed to intrinsic defects such as oxygen vacancies [29, 30]. For the ZnO nanoneedles or platelets, grown with the addition of PEI or sodium citrate, the PL spectrum presents a unique UV emission (377 nm),

SN-38 price but the defect-related visible emission is suppressed, which is attributed to the surface passivation effects of surfactants via the adsorption in different crystal faces and modification of the surface free energy. Furthermore, the intensity of NBE emission varies greatly with the morphology of ZnO nanostructures

(nanorods, nanoneedles, or nanoplatelets), demonstrating that the photoluminescence property of ZnO nanostructures is adjusted by introducing different surfactants. Conclusions In conclusion, the morphology evolution of the ZnO nanostructures was well monitored by tuning the hydrothermal growth parameters, such as seed layer, solution concentration, reaction temperature, and surfactant. It was found that both GPX6 deposition methods and thickness of the seed layer could affect the orientation and morphology of the resulting ZnO nanorods; moreover, the length of ZnO nanorods depended mainly on the reaction temperature, while the diameter was closely related with the solution concentration. In addition, the morphology, as well as the optical properties, was tuned effectively by introducing various surfactants. The ease of synthesis, ability to control morphology, and optical properties make this approach promising in LEDs, sensors, and other applications. Acknowledgements This work was financially supported by ‘the Fundamental Research Funds for the Central Universities’ (grant no. 2652013067). References 1. Wu WB, Hu GD, Cui SG, Zhou Y, Wu HT: Epitaxy of vertical ZnO nanorod arrays on highly (001)-oriented ZnO seed monolayer by a hydrothermal route. Cryst Growth Des 2008, 8:4014–4020.CrossRef 2.

Over-expression of COX-2, which was detected in endometrial carci

Over-expression of COX-2, which was detected in endometrial carcinoma, stimulated the proliferation and angiogenesis of cancer cell [16]. COX-2 also is an important rate-limiting enzyme

in prostaglandin synthesis [13]. The endometrial prostaglandin E2 induced the activity of aromatase (P450arom) by up-regulating intracellular cAMP levels in endometrial stromal cells. COX-2 indirectly regulated the expression of P450arom by influencing the synthesis of PGE2[17]. P450arom is the rate-limiting enzyme catalyzing the final step in the conversion from androgen to estrogen. P450arom determined the levels of estrogen in normal and abnormal tissues directly, which maintained mTOR inhibitor the estrogen-related

physiologic functions and impacted the pathogenesis and prognosis of estrogen-dependent diseases [18]. High levels of HER-2/neu have been detected in endometrial carcinoma tissues and were found to correlate with tumor malignancy [19–21]. Our results suggested that HER-2/neu, as a potential upstream regulatory molecule in the COX-2/PGE2/P450arom signaling pathway, could play a critical role in estrogen-dependent endometrial carcinoma. These findings provided an improved understanding of the molecular mechanisms of estrogen-dependent endometrial carcinoma, and might instruct to screen the targets for hormone-dependent gynecologic tumors related to HER-2/neu. Acknowledgement This study was supported by Selleckchem LY3023414 grants from the National Natural Science Foundation of China (No. 81272874), the Project from Educational

Department of Liaoning Province (No. L2010642), and the Science and Technology Project of Shenyang City (No. F10-205-1-58). References 1. Le J: Obstetrics and Gynecology [M]. 6th edition. China: Beijing: Beijing People’s Medical Publishing House; 2005:300. 2. Simeone AM, Li YJ, Broemeling LD: Cyclooxygenase-2 is essential for HER2/neu tosuppress N-(4-hydroxyphenyl) retinamide apoptotic effects in breast cancer cells. Cancer Res 2004,64(4):1224–1228.PubMedCrossRef selleck chemical 3. Wang SC, Lien HC, Xia W: Binding at and transactivation of the COX-2 promoter by nuclear tyrosine kinase receptor ErbB-2. Cancer Cell 2004,6(3):251–261.PubMedCrossRef 4. Faltus T, Yuan J, Zimmer , Krämer A, Loibl S, Kaufmann M, Strebhardt K: Silencing of the HER2/neu gene by siRNA inhibits proliferation and induces apoptosis in HER2/neu-overexpressing breast cancer cells. Neoplasia 2004,6(6):786–795.PubMedCrossRef 5. Tiseo M, Loprevite M, Ardizzoni A: Epidermalgrowth factor receptor inhibitors: a new prospective in the treatment of lung cancer. CurrMed Chem Anti-Canc Agents 2004,4(2):139–148.CrossRef 6. Kokay Y, Cohen JA: Stage-and tissue-specific expression of neu oncogene in rat development. Proc Natl Acad Sci USA 1987, 84:8498.CrossRef 7.

The sample was centrifuged at 8,000 × g for 15 min to obtain the

The sample was centrifuged at 8,000 × g for 15 min to obtain the supernatant, which contained the soluble protein fraction. The recombinant protein was purified by affinity chromatography under no denaturing conditions. The soluble fraction was placed in a Glutathione Sepharose× 4B resin column (GE Healthcare®). The resin was washed five times in 1x PBS, and the

recombinant protein was cleaved by the addition of thrombin protease (50 U/mL). The purity and size of the recombinant protein were evaluated by running the molecule on 12% SDS-PAGE followed by Coomassie blue staining. E. coli cells transformed with pGEX-4 T-3 without an insert for the expression and selleck chemical purification of the protein glutathione S transferase (GST) were used as the experimental control. Antibody production The purified PbMLS

was used to produce anti-PbMLS polyclonal antibodies in New Zealand rabbits. The immunization protocol constituted an initial injection of 300 μg of purified recombinant protein in complete Freund’s adjuvant and two subsequent injections of the same amount of the antigen in incomplete Freund’s adjuvant. Each immunization was followed by a 14-day interval. After the fourth immunization, the serum containing the anti-PbMLS polyclonal antibody was collected and stored at −20°C. BIBF 1120 order Pull-down assays A total of 5 mg of each protein extract of Paracoccidioides Pb01 mycelium, yeast, yeast secretions and macrophage was incubated with 20 μL of resin bound to GST for 2 h at 4°C under gentle agitation (control). The resin was centrifuged at 200 × g for 5 min, and the supernatant was placed into a tube that contained 100 μL of the resin bonded to PbMLS. This mixture was incubated for 3 h at 4°C, with stirring. After tetracosactide this period, the resin was centrifuged at 200 × g for 5 min, and the supernatant was discarded. Both

resins were washed four times with 1x PBS buffer and subjected to SDS-PAGE on 15% polyacrylamide gel followed by staining with Coomassie Blue (GE Healthcare®). Separated by SDS-PAGE, the proteins that interacted with PbMLS in the pull-down assay were excised from the gel and identified by MS. Pieces of the gels were soaked in 50 μL of acetonitrile. The solvent was removed under a vacuum and was incubated in 100 mM NH4HCO3 buffer containing 10 mM 1,4-dithiothreitol for 1 h at 56°C under gentle agitation. The above buffer was removed and replaced by 55 mM iodoacetamide in 100 mM NH4HCO3 for 45 min at room temperature in the dark. The gel pieces were then subjected to alternating 5 min washing cycles with NH4HCO3 and acetonitrile, dried down, swollen in 50 μL of 50 mM NH4CO3 containing 12.5 ng/mL sequencing-grades modified porcine trypsin (Promega, Madison, WI) and incubated at 37°C overnight. The resulting tryptic peptides were extracted by adding 20 μL of 5% v/v acetic acid and removing the solution. This procedure was repeated once. The extracts were pooled, dried under a vacuum and then solubilized in 0.

In contrast, with one exception, no other ST was seen in more tha

In contrast, with one exception, no other ST was seen in more than one host or geographic location. The exception was ST11, which was seen in both USA and Belgium. These observations

suggest NVP-BSK805 that ST1 is the most ancestral ST in the data set [83, 84], and also possibly a generalist, with the ability to infect different hosts and tissue types. Genomic comparisons showed that strain FSL S3-227 shared multiple mobile genetic elements with S. agalactiae and S. dysgalactiae subsp. dysgalactiae strains isolated from the bovine environment, with one of these elements (the ICE) showing high sequence divergence. Although the ICE contained the Lac.2 operon, suggesting that this LGT may have contributed to bovine adaptation, the high divergence and multiple additional LGTs suggest that S. canis ST1 may have had an extended association with the bovine environment, arguing against more recent adaptation. Consequently, if ST1’s lineage has possessed the ability to infect cows for an extended period of time, and is also the most ancestral with all lineages having descended from it, in order for the ST14 lineage to have recently acquired find protocol the ability to infect cows, all lineages intermediate between ST1 and ST14 must have previously lost this ability. This might have occurred as a single event on the branch connecting CC3 to ST8. Alternatively, all strains are generalist and the more recent

lineages have simply had insufficient time to encounter the bovine environment and/or that our sample size was too low to detect their presence. The distribution of the plasmid provides yet

another perspective. The plasmid has only been observed in one additional species: S. agalactiae (strain FSL-S3026 [isolated from a bovine host], and strain NEM316 [potential association with the bovine environment]). Therefore, it is possible that the plasmid was exchanged between S. canis and S. agalactiae in the bovine environment, however, the plasmid appears randomly distributed among S. canis isolates, regardless of host species or ST. For example, (i) a Fisher exact test showed no significant difference in its distribution between bovine and canine isolates (P = 1.0), (ii) it was Fenbendazole present in all clonal complexes and clusters, and (iii) it was present in all three hosts including a wide range of canine tissue types (vaginal, ear, throat, lip). Consequently, the plasmid appears to have moved freely between bovine and canine environments, supporting the generalist argument. An alternative explanation is that S. canis may have obtained the plasmid on independent occasions from one or more different hosts. A similar process involving various mobile genetic elements has been observed for various Streptococcus species [17, 85, 86]. Conclusion Characterization of the genome sequence for S. canis strain FSL S3-227 detected a high diversity of virulence factors.

Cell viability is expressed as a ratio of the absorbance of treat

Cell viability is expressed as a ratio of the absorbance of treated cells to that of untreated controls. The median effective concentration (EC50) for COX-2 was determined by linear regression analysis of the average promotion rate and chemical concentration using EXCEL (version 2003). All experiments were performed three times and the average results were calculated. Measurement of VEGF expression in NSCLC cells treated with COX-2 NSCLC cells were

carefully washed with a serum-free medium, digested with 0.25% trypsin to generate a single-cell suspension, and then seeded in 6-well plates at 5 × 105 cells/well. After 12 h of starvation at 37°C and 5% CO2, different concentrations of COX-2 buy STA-9090 were added, and cells were incubated at 37°C and 5% CO2 for 12 h. COX-2-treated cells were then digested with 0.25% trypsin to yield a single-cell suspension. The cell suspension was added to two tubes (experimental and control) at

108 cells/mL, and then fixed by adding 100 μL fixation buffer to each tube and incubating for 15 min. The cells were then washed twice with permeabilization buffer and the supernatant was removed. Mouse anti-human VEGF antibody Selleckchem Entinostat (1 μL) and human anti-rabbit IgG (1 μL) was added to experimental and control tubes, respectively, and tubes were incubated at room temperature (18°C-25°C) 30 min. After washing cells twice with 500 μL permeabilization buffer, 100 μL fluorescein isothiocyanate (FITC)-conjugated sheep anti-rabbit antibody (diluted 1:200 in permeabilization

buffer) was added and tubes were incubated at room temperature for 30 min. Cells were then washed two times with 500 μL permeabilization buffer and 300 μL PBS was added. After preheating a Coulter Elite flow cytometer (Beckman-Coulter Company, Fullerton, CA, USA) for 30 min, correcting the instrument using fluorescent microspheres (laser wavelength, 488 nm) and calibrating using the blank control, 1000 cells were counted and the percentage of positive cells and mean fluorescence intensity were calculated. Comparison of VEGF expression in NSCLC cells treated with COX-2 and inhibitors or activators of PKC, PKA, and PGE2 Adherent cells else in culture flasks were washed three times with serum-free medium, and digested with 0.25% trypsin as described above to obtain a single-cell suspension. Cells were seeded in 6-well plates by adding 1.5 mL of cell suspension (3-5 × 105 cells/well), and then incubated at 37°C in a humidified 5% CO2 atmosphere until reaching confluence. After serum starvation, a suitable concentration of COX-2 was added and cells were incubated for 12 h. Thereafter, AH6809 (50 μM), KT5720 (10 μM), RO-31-8425 (1 μM), or PMA (0.1 μM) was added, as indicated in the text, and cells were incubated for an additional 12 h.

[20]; therefore, it seems plausible that early feeding post-damag

[20]; therefore, it seems plausible that early feeding post-damaging exercise increased the efficacy of the intervention. This is somewhat conjectural and would serve as an interesting question for future research to ascertain the optimal strategy for BCAA supplementation. Regardless of whether the loading

phase and timing of the supplementation post-exercise was effective in increasing the bioavailability of BCAA, there is still a stark difference in the total supplementation volume (88 vs. 140 g). The larger quantity of BCAA we provided might partly account for the difference between studies in damage indices (MVC and CK). We based our supplementation regimen on

previous work that showed a positive effect [16, 26] and propose that positive effects beyond attenuation of muscle soreness RG7112 molecular weight (i.e., recovery of muscle function) may need a more immediate bioavailability and greater quantity of BCAA than those used previously. There are two limitations from the study, which need to be acknowledged. Firstly the lack of specific dietary control might have led to discrepancies in caloric and, more specifically, protein ingestion between the groups. Although we attempted to control this by asking participants to record food intake during the loading phase and replicate this following the damaging exercise, an approach that has been previous used [11, 21], there was no specific learn more control between groups. Conceivably discrepancies in protein intake

can affect the bioavailability of the substrate and hence affect protein turnover and ultimately influence the outcome of Methane monooxygenase these data. The second limitation is that we used an artificial sweetener with little or no calorific value was used, which will certainly alter the energy balance by around 80 kcal/day, and may be problematic if the placebo group were in energy deficit, but based on the food record sheets this does not seem likely. Although the current investigation has a good degree of external validity, future research might like to consider more rigorous dietary control measures such as; 1) asking participants to weigh food and accurately log food intake; or 2) providing a pre-determined menu for the participants to ensure no discrepancies between and within groups, although this still relies on participant adherence outside the laboratory. Finally, 3) although difficult to facilitate, participants could be housed in an environment where dietary behavior can be imposed and thereby strictly controlled. In summary, these data offer novel information on the application of BCAA supplementation.

For the process C2 that feeds both the 3F4 and 3H5 levels, the en

For the process C2 that feeds both the 3F4 and 3H5 levels, the energy gap is a deficit of -641 cm-1. This process must absorb three phonons from the lattice to complete. However, phonon absorption processes have much stronger temperature dependence than phonon-emitting processes. At low temperatures,

any relaxation process that emits phonons, such as cross-relaxation or multi-phonon relaxation, can proceed through spontaneous emission. At high temperatures, stimulated emission will BMS-907351 purchase occur as phonon occupation increases, which increases the relaxation rate. Therefore, the temperature dependence of the rate for a phonon emission process W e is given by (4) where N e is the number of phonons (ΔE/ħω) emitted to fill the energy gap ΔE that have energy ħω and n is the phonon occupation number [35]. However, phonon absorption processes must have occupied phonon states in order to proceed. The temperature dependence of the rate W a for a phonon absorption process is given by (5)

where N a is the number of phonons absorbed. The temperature dependencies of Equations 4 and 5 arise because the phonon occupation number n follows a Bose-Einstein distribution given by (6) where ħω is the maximum phonon energy (260 cm-1 for YCl3) [36]. Therefore, the maximum phonon energy is the most important parameter in controlling

the temperature and energy gap dependence of all phonon-assisted relaxation processes, including cross-relaxation and multi-phonon relaxation. Excited selleck products state populations and lifetimes for Tm3+, which ensue after pumping the 3H4 state at 800 nm, depend on the competition between Fenbendazole spontaneous emissions of radiation, cross-relaxation, multi-phonon relaxation, and up-conversion. At temperatures greater than 500 K, multi-phonon relaxation is the dominant process, which results in quenching of the fluorescence from all levels. At room temperature, near 300 K, multi-phonon relaxation is reduced and cross-relaxation can proceed. However, at 300 K, the occupation of phonon states is still substantial, which allows the endothermic process C2 to compete with the exothermic process C1. A macroscopic model of the populations of the four lowest levels of Tm3+ was constructed using coupled time-dependent rate equations [33]. Rate constants for spontaneous emission, cross-relaxation, and up-conversion were determined by fitting the model to fluorescence lifetime data at 300 K, a temperature at which multi-phonon relaxation can be neglected. Rate constants for multi-phonon relaxation were determined by fitting the model to lifetime data above 400 K, temperatures at which multi-phonon relaxation is significant [33].

Senftenberg Greatest diversity was observed among isolates using

Senftenberg. Greatest diversity was observed among isolates using PFGE supporting its use as a subtyping method to differentiate isolates of the same serovar. Three sequence types were observed with MLST analysis and types were not host specific. Antimicrobial resistance was evident in animal isolates but not human reflecting the nature of animal husbandry. Acknowledgements The authors gratefully acknowledge Dr Jean Whichard (Centers for Disease Control) for the donation of human S. Senftenberg strains, and the National Animal Disease Center (Ames, IA) for animal strains of S. Senftenberg. References 1. Guard-Bouldin J, Morales CA,

Frye JG, Gast RK, Musgrove M: Detection of Salmonella enterica subpopulations by phenotype microarray antibiotic resistance

populations. Appl Env Microbiol 2007, 73:7753–56.CrossRef 2. Foley SL, Lynne AM: Food animal-associated Salmonella Tideglusib challenges: pathogenicity and antimicrobial resistance. J An Sci 2008, 86:E173–87.CrossRef 3. Scallan E, Griffin PM, Anguolo FJ, Tauxe RV, Hoekstra RM: Foodborne illness acquired in the United States – major pathogens. Em Inf Dis 2011, 17:7–15. 4. Anon: CDC Salmonella Annual Summary 2006. [http://​www.​cdc.​gov/​ncidod/​dbmd/​phlisdata/​salmtab/​2006/​SalmonellaAnnual​Summary2006.​pdf] 5. Fakhr MK, Nolan LK, Logue CM: Multilocus Selleckchem BTK inhibitor sequence typing lacks the discriminatory ability of pulsed-field gel electrophoresis for typing Salmonella enterica serovar Typhimurium. J Clin Microbiol 2005, 43:2215–2219.PubMedCrossRef 6. Foley SL, Lynne AM, Nayak R: Molecular typing methodologies

for microbial source tracking and epidemiological investigations of gram-negative bacterial foodborne pathogens. Inf Gen and Evol 2009, 9:430–440.CrossRef 7. 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 Env Microbiol 2008, 74:5038–46.CrossRef 8. Nde CW, Sherwood JS, Doetkott C, Logue CM: Prevalence and molecular profiles collected at a commercial turkey processing plant. J Food Prot 2006, 69:1794–1801.PubMed 9. Kotetishvilli M, Stine 6-phosphogluconolactonase OC, Kreger A, Morris JG Jr, Sulakvelidtze A: Multilocus sequence typing for characterization of clinical and environmental Salmonella strains. J Clin Microbiol 2002, 40:1626–35.CrossRef 10. Torpdahl M, Skov MN, Sandvang D, Baggesen DL: Genotypic characterization of Salmonella by multilocus sequence typing, pulsed-field gel electrophoresis and amplified fragment length polymorphism. J Microb Meth 2005, 63:173–184.CrossRef 11. Benacer D, Thong KL, Watanabe H, Puthucheary SD: Characterization of drug resistant Salmonella enterica serotype Typhimurium by antibiograms, plasmids, integrons, resistance genes and PFGE. J Microbiol Biotech 2010, 20:1042–52.CrossRef 12. Skyberg JA, Logue CM, Nolan LK: Virulence genotyping of Salmonella spp . with multiplex PCR. Avian Dis 2006, 50:77–81.PubMedCrossRef 13.