A more detailed structure of the PMNC surface is shown on the high-resolution

SEM images presented Ferrostatin-1 nmr in Figure 3. As it is clearly seen in Figure 3B,C, the majority of Ag-MNPs are located under the polymer surface which results in the appearance of numerous bumps on the initially smooth polymer surface. Moreover, as one can see in Figure 3C, IMS of Ag-MNPs inside the gel-type polymer results in the appearance of numerous ‘nanoholes’ (nanopores) on the surface of the polymer which can be considered as a qualitative confirmation of the results obtained by BET analysis and shown in Table 1. Figure 3 High-resolution SEM images of the surface of Purolite C100E modified with Ag-NPs. Magnification A < B < C. (A) High-resolution SEM image of the increase of cross-linking degree of Purolite C100E resin

modified with Ag-MNPs (B,C). The dramatic changes in morphology click here of the polymer surface are caused by a strong interaction of Ag-MNPs with the polymer matrix. These morphological changes are associated with the inter-polymer mechanical stress, resulting from a strong interaction between Ag-MNPs and the polymer chains. The changes observed must substantially improve the mass transfer properties of the Purolite® C100E resin in comparison with the initial (MNP-free) polymer due to the appearance of nanoporosity (see Figure 3 and Table 1). Conclusions IMS technique coupled with the DEE can be successfully applied for the modification of polymers with FMNPs. This version of IMS results in the situation of FMNPs onto the surface of the obtained nanocomposite materials, providing the most favorable distribution that substantially enhances their practical applications. In addition, the DEE-IMS of Ag-MNPs inside the polymeric matrix results in dramatic changes of their

morphology, where the most remarkable changes are observed in the case of gel-type polymers (such as Purolite C100E). The appearance of Ag-MNP-induced porosity results in the formation of a nanoporous nanocomposite material with enhanced mass transfer characteristics, which in turn, must improve the Sclareol performance of corresponding sensors and biosensors based upon these novel materials as well as the bactericide assays. It seems important to emphasize that the nanoporosity simultaneously appears in C100E resin in the course of the polymer loading with Ag-MNPs. Acknowledgments The authors are sincerely grateful to all their associates cited throughout the text for making this publication possible. Part of this work was supported by the research grant MAT2006-03745, 2006-2009 from the Ministry of Science and Technology of Spain, which is also acknowledged for the financial support of DN.M. JB also thanks the Autonomous University of Barcelona for the personal grant. References 1. Barbaro P, Liguori F: Ion exchange resins: catalyst recovery and recycle. Chem Rev 2009,109(2):515–529.CrossRef 2.

Figure 5 represents the carrier density profiles and the location of active As atoms in some representative devices. Equidensity surfaces at V d = V g = 0.5 V (blue and green surfaces for 3 × 1020 and 1 × 1020 cm−3, respectively) and dopant positions

(yellow dots) are shown. Figure 5 (a), (b), (c), and (d) correspond to the I-V characteristics of continuously doped (solid circles in Figure 4), high-current (red dashed line), medium-current (green dashed line), and low-current (blue dashed line) devices, respectively. The drain current buy Bucladesine of NW devices with random discrete As distribution is found to be reduced compared to that with uniform As distribution. This reduction is ascribed to ionized impurity scattering, which is taken into account for random As distribution, but not for uniform As distribution. The normalized average current 〈I d〉/I 0 (I 0 is the drain current of the continuously doped device) is found to be approximately 0.8 and decreases with V g, as

shown in Figure 6. The standard deviation of the 100 samples is found to be σI d ~ 0.2〈I d〉. Figure 4 I d – V g characteristics of GAA Si NW transistors at V d   = 0.5 V. Gray lines show the I d-V g of 100 samples with different discrete As distributions. Open circles represent their average value 〈I d〉. The continuously doping case with N d = 3 × 1020 cm−3 in the S/D extensions is shown by solid circles for comparison. Figure 5 Carrier density profiles and location of active As atoms in NW devices. Equidensity surfaces (blue and green surfaces) and dopant positions Duvelisib molecular weight (yellow dots) for (a) continuously doped, (b) high-current OSBPL9 (red dashed line in Figure 4), (c) medium-current (green dashed line in Figure 4), and (d) low-current (blue dashed line in Figure 4) devices. V d = V g = 0.5 V. Figure 6 Average and standard deviation of drain current in NW devices. Average current 〈I d〉 and standard deviation

σI d vs. V g. I 0 is the drain current of the continuously doped device. Drain current fluctuation In order to investigate the cause of the drain current fluctuation, we examine the correlation between I d and the factors related to random As distributions. The factors are extracted from the random As positions, based on a simple one-dimensional model as schematically shown in Figure 7, where blue dots represent active As atoms. The factors are an effective gate length (L g *), standard deviations of interatomic distances in the S/D extensions (σ s and σ d), their sum (σ = σ s + σ d), and the maximum separation between neighboring impurities in the S extension (S s), in the D extension (S d), and in the S/D extensions (S). The effects of the number of As dopants in the S/D extensions are also examined, with the factors of the number of active As in the S extension (N s), in the D extension (N d), and in the S/D extensions (N).

, Anyang, Korea). An isotonic phosphate buffer (25 mM sodium phosphate, 100 mM NaCl; pH = 7.4) was used as mobile phase at a flow rate of 1.0 ml/min. The examination was carried out by UV monitoring at 214 nm. The BSA, GM-CSF, and G-CSF were also dissolved in distilled water and then dispersed in dichloromethane to get controlled water-in-oil (W/O) emulsion. The controlled emulsion and standard protein solutions were also subject to SEC-HPLC for comparing with dextran nanoparticles loaded with proteins. Copanlisib price Bioactivity assay of proteins during

the formulation steps The GM-CSF, G-CSF, and β-galactosidase were selected as model proteins to examine the bioactivity during the process. The bioactivity of the GM-CSF recovered during the steps was determined by the proliferation effect induced on TF-1 cell line. The TF-1 cells were grown in a PRMI 1640 medium supplemented with 10% fetal bovine serum (FBS). The cultures were maintained in plastic flasks and incubated in CO2/air (5:95, v/v) at 37°C in a humidified incubator. The bioactivity of the G-CSF recovered selleck products was determined by the proliferation effect induced on an NSF-60 cell line. The NFS-60 cells were grown in a PRMI 1640 medium supplemented with 10% FBS. The cultures were maintained in plastic flasks and incubated in CO2/air (5:95, v/v) at 37°C in a humidified incubator. The catalysis bioactivity

of the β-galactosidase on o-nitrophenol recovered was determined by the ortho-nitrophenyl-β-galactoside (ONPG) assay. The assay

was carried out according to a protocol from Sigma. Protein activity was determined by the absorbance of the reaction product of ONPG at 420 nm. The β-galactosidase and GM-CSF were also dissolved in distilled water and then were dispersed in dichloromethane to get the controlled W/O emulsion. The controlled emulsion and standard protein solutions were also subject to bioactivity assay for comparing with dextran nanoparticles loaded with proteins. Ability of dextran nanoparticle to overcome acidic microenvironment LysoSensor™ Yellow/Blue dextran (Life Technologies Corporation, Grand Island, NY, USA) was loaded into the dextran nanoparticle to evaluate the ability to attenuate the local acidic microenvironment in the PLGA selleck kinase inhibitor microsphere during the in vitro release period. The dextran nanoparticles were encapsulated into composite PLGA microsphere by the solid-in-oil-in-water method [15]. Accordingly, the LysoSensor™ Yellow/Blue dextran solution was encapsulated into the PLGA matrix to act as the controlled sample by the traditional water-in-oil-in-water (W/O/W) double emulsion method [9]. To monitor the change in pH within PLGA microspheres vs. time, 10 mg of dried PLGA microspheres loaded with the LysoSensor™ Yellow/Blue dextran were incubated in tubes containing 1 ml of 20-mM PBS buffer at 37°C under 90 rpm continuously for 12 days.

PLB2 was underexpressed in biofilms grown in the MTP and in the in vivo and RHE models (up to 12 h), but this gene was upregulated in biofilms grown in the CDC reactor and in the RHE model (after 24 h and 48 h). Expression levels of LIP genes in biofilms The expression levels of LIP genes in biofilms Ro 61-8048 price at selected time points in the various model systems are shown in Additional file 3. LIP2, LIP4 and LIP5 were

overexpressed in biofilms grown in all model systems at several time points or during the entire time course. Furthermore, LIP1, LIP6, LIP9 and LIP10 were upregulated in biofilms grown in the two in vitro models but not in the in vivo and RHE models. LIP3 was overexpressed in biofilms grown in the two in vitro models, while this gene was downregulated in the in vivo and RHE models. LIP7 was upregulated in biofilms grown in both in vitro models and in the in vivo model, but not in the RHE model. Similar results were obtained for LIP8, except that this gene was downregulated in biofilms grown in the MTP. selleck screening library For all the LIP genes (except LIP4), model-dependent gene expression levels

were observed. LIP1, LIP2, LIP9 and LIP10 were highly overexpressed in biofilms grown in both in vitro models, whereas LIP3 and LIP5-7 were highly upregulated only in the CDC reactor. On the other hand, LIP genes were not expressed at a high level in biofilms grown in the in vivo and RHE models. Extracellular lipase

activity Extracellular lipase activity in the supernatant derived from start cultures or from biofilms grown in the MTP and RHE model was determined using a fluorogenic substrate, 4-methylumbelliferyl (4-MU) palmitate. The relative slope (biofilms versus start cultures) of the fluorescence-time curves obtained from biofilms grown at selected time points in the MTP or RHE model is shown in Fig. 4. No differences in lipase activity were observed between biofilms grown for 1 h in the MTP and planktonic cells. Between 1 h and 24 h of biofilm growth in the MTP, lipase activity increased and then remained stable from 24 h up to 72 h. A marked increase in lipase activity was detected between 72 h and 144 h of biofilm growth in the MTP. In the RHE model after 1 h, lipase activity was approximately 100 fold higher than the lipase activity in planktonic cells. PRKD3 Lipase activity increased during further biofilm formation and was more than 1000 fold higher after 48 h of biofilm growth in the RHE model, compared to that in planktonic cells. Figure 4 Extracellular lipase activity of sessile C. albicans cells. Extracellular lipase activity in the supernatant of sessile and planktonic C. albicans cells was determined using 4-MU palmitate. Relative slopes (%) of biofilms versus start cultures (derived from fluorescence-time curves) are shown for biofilms grown at selected time points in the MTP and RHE model.

The library was then verified using conventional Sanger sequencing with DYEnamic Dye Terminator kits and a Megabace 1000 sequencer (GE Healthcare). Gel-purified blunt-ended PCR products (1.25-1.35 μg) were subjected to ultra-deep sequencing using the 454 FLX chemistry and sequencer (Roche) according to the manufacturer’s instructions at the time. Computational analysis Even though enriched for viruses, most of the sequenced samples contained a large fraction of human reads. For the purpose of analyzing the viral content of the data, human reads can be removed from the samples before assembly without affecting the results. The benefits of removing human sequences pre-assembly include a heavily

reduced assembly time and a reduced risk of FK228 in vitro mis-assembly. Most human reads are highly homologous to human database sequences and can be identified with MegaBLAST [26]. Multiple NCBI databases (i.e., EST-Human, Human Genomic, and Human Genomic Transcripts) [27] were used to identify human reads. Highly repetitive human reads identified by MegaBLAST were also discarded. The remaining overlapping

reads were then assembled into contigs using miraEST [28] which can perform a hybrid assembly using both Roche/454 and traditional Sanger sequences. Before attempting to classify the contigs and singletons, highly repetitive sequences were eliminated using the DUST algorithm [29]. Remaining sequences were classified through a protocol of database alignment searches using NCBI BLAST E7080 nmr [30]. Alignment search tools trade speed for sensitivity: for metagenomic datasets, efficient identification

of more distantly homologous matches is accomplished using progressively more sensitive searches (rather than a single sensitive search). Progressive searches were performed using MegaBLAST against NCBI NT, then using BLASTn against NCBI NT, and finally using BLASTx against ID-8 NCBI NR. For example, for a set of Roche/454 RNA reads, 70% of the remaining sequences were classified in the first step leaving far fewer data for the more time-consuming second and third steps. Sequences were then classified using the closest homologue defined by the alignment searches. Two main categories were built: classified sequences that are highly similar to a database sequence (> 90% identity with >70% query coverage) and “”remainder”" sequences that may contain new findings. Each category was split into taxonomy divisions and the virus division was further split into suitable virus subgroups to aid analysis. Total nucleic acid extraction and PCR of individual serum samples Serum samples (400 μl each) were used for total nucleic extraction using the Virus Mini M48 kit (Qiagen) according to the manufacturer’s instructions. The automated extraction process was carried out in a Qiagen Biorobot M48. Presence of GBV-C virus in the samples was confirmed by nested PCR with primers specific for the 5′ UTR of virus RNA [31].

2001;59:1498–509.PubMedCrossRef 20. Sasatomi Y, Tada M, Uesugi N, Hisano S, Takebayashi S. Obesity associated with hypertension or hyperlipidemia accelerates renal damage. Pathobiology. 2001;69:113–8.PubMedCrossRef”
“Erratum to: Clin Exp Nephrol DOI 10.1007/s10157-013-0809-5 The original version of this article unfortunately contained errors. In the Abstract, under the heading

“Methods”, the number of men (median age 66 years) should be 85,183, not 185,183. Also in the “Methods” section, under the heading “Baseline measurement”, lines 11–14 should read: Urine dipstick results were interpreted by the medical staff at each local medical institution and recorded as (−), (±), (1±), (2±), and (3±).”
“Introduction Cryoglobulins are serum proteins that are soluble at 37 °C, precipitate at lower temperatures, and

dissolve again when heated. Renal disease in patients with cryoglobulinemia (cryo) is called cryoglobulinemic glomerulopathy BMS345541 research buy (CG), selleckchem and is usually the type 2 mixed form due to immune complexes formed by immunoglobulin (Ig)M directed against the Fc portion of polyclonal IgG. Cryo that is not secondary to lymphoproliferative disorders, autoimmune diseases such as systemic lupus erythematosus (SLE), or infection used to be called ‘essential’ [1–4]. However, Pascual et al. suggested an association between hepatitis C virus (HCV) and cryo in 1990 [5], after which Johnson et al. reported that chronic HCV infection Astemizole is associated with cryo-positive membranoproliferative glomerulonephritis (MPGN) in 1993 [6]. Thus, many cases of CG that had been considered essential are now thought to be due to chronic HCV infection. However, Tervaert et al. [7] reported true essential CG of unknown etiology with negativity for HCV. MPGN is histologically characterized by diffuse mesangial proliferation and thickening of the capillary walls, and three histopathological forms have been identified based upon electron microscopic findings. Type 1 features electron dense deposits (EDD) in the mesangium as well as in the subendothelial spaces, type 2 displays EDD on the glomerular basement membrane, and type 3 is characterized by EDD in the subepithelial spaces

in addition to the mesangium and subendothelial spaces. Among these three types, type 1 is the most common [3, 8, 9]. A diagnosis of CG requires the histology of MPGN together with positivity for cryo, but histological findings specific to CG have also been reported [1–4]. Since textbook information on MPGN and CG is only based on case series and was acquired before testing could be performed routinely for HCV [10], the actual relationships among MPGN, CG, and HCV have not been fully elucidated. In this study, MPGN was assessed in relation to the presence of cryo and HCV, and idiopathic MPGN without cryo or HCV infection was compared between type 1 and type 3. Methods Patients Fifty-three patients were diagnosed as having MPGN by renal biopsy between 1990 and 2008 at our institution.

2. Carrizo GJ, Marjani MA: Dysphagia lusoria caused by an aberrant right subclavian artery. Tex Heart Inst J 2004, 31:168–71.PubMed 3. Currarino G, Nikadiho H: Esophageal foreign bodies in children with vascular ring or aberrant right subclavian artery: coincidence or causation? Pediatr Radiol 1991, 21:406–408.PubMedCrossRef 4. Bisognano JD, Young B, Brown JM, Gill EA, Fang FC, Zisman LS: Diverse presentation of aberrant origin of the right subclavian artery. Chest 1997, 112:1693–1697.PubMedCrossRef 5. Levitt B, Richter JE: Dysphagia lusoria: a comprehensive review. Diseases of BI 10773 molecular weight the

Esophagus 2007, 20:455–460.PubMedCrossRef Declaration of competing interests The authors declare that they have no competing interests. Authors’ contributions EB – conceived the study and participated

in its design, ML – operating surgeon, RK – operating surgeon, LAB – critical review study concept and design, YK – critical review study concept and design. All authors read and approved the final manuscript.”
“Background Blunt extracranial traumatic cerebrovascular injury (TCVI) is found in some 1-3% of all blunt force trauma patients [1–15]. Estimates of overall neurological morbidity associated with TCVI range as high as 31% [2, 14, 16]. Ischemic stroke appears to be the greatest source of check details these neurological morbidity in this setting. A recent report of 147 patients with TCVI found an ischemic stroke rate of 12% attributable to carotid injuries and 8% due to vertebral artery injuries [2]. Although antithrombotic therapy to prevent ischemic stroke has been widely reported, several different options exist, including anticoagulation[2, 7, 9, 17–19] and antiplatelet therapy [2, 16, 20–22]. Furthermore, the use of endovascular techniques in patients with TCVI appears to be gaining in popularity [23–26]. The optimal management strategy for patients with TCVI has not yet been established. No randomized trials in the management of

patients with TCVI have yet been published. The issue is complicated by the complex nature of many patients with TCVI, such as the variety of cerebrovascular injuries as well as the presence of polytrauma. Furthermore, cerebrovascular injury in trauma patients frequently involves the participation of numerous specialists, such as neurosurgeons, trauma surgeons, stroke neurologists, and interventional neuroradiologists. Differing disciplines may have different perspectives and practices in the management of patients with TCVI. The purpose of the current investigation was to assess the current management of patients with TCVI across the United States and also across the various medical specialties involved with the management of patients with TCVI.

Then 0 day (Viable count) VC was set up on 7H11 agar plates and the selleck chemicals llc drugs were added at different concentrations. Bactericidal action of the drugs PA-824 was injected at two different concentrations of 3 μg/ml (P1), 12.5 μg/ml (P2), and RIF & PZA were injected at 1 μg/ml and 50 μg/ml respectively through the septa of 21-day-old cultures. Culture bottles were prepared in duplicates for each concentration

of the drugs. The culture was removed by means of a syringe through the septa and the VC was set up on 2nd, 4th, 7th, 10th, 14th, and 21st days. The cultures were serially diluted in saline and plated onto 7H11/OADC agar (Difco) plates in duplicates containing polymyxin B (200 U/ml), amphotericin B (20 μg/ml), carbenicillin (100 μg/ml), and trimethoprim (10 μg/ml), to determine colony-forming unit (CFU) counts. The plates were placed in polythene bags, along with a plate inoculated with Mycobacterium phlei and incubated at 37°C. M. tuberculosis colonies were counted at 0, 2, 4, 7, 11, 14 and 21 days of incubation. The results were represented, as the mean of the quadruplicates of the cultures for every time point for every drug concentration and for the control cultures it was the PF-01367338 manufacturer mean of duplicates (Table 1). Table 1 Bacterial count in Log 10

cfu/ml with standard deviation on different days Days 0 2 4 7 11 14 21 No drug 6.55 ± 0.16 6.68 ± 0.23 6.58 ± 0.13 6.28 ± 0.23 6.35 ± 0.12 6.37 ± 0.09 6.53 ± 0.07 P1 (3 μg/ml) 6.64 ± 0.39 6.45 ± 0.08 6.48 ± 0.22 6.21 ± 0.19 6.20 ± 0.17 5.62 ± 0.54 4.93 ± 0.32 P2 (12.5 μg/ml) 6.67 ± 0.25 5.44 ± 0.44 4.69 ± 0.12 4.18 ± 0.41 4.18 ± 0.51 4.15 ± 0.09 0 RIF (1 μg/ml) 6.93 ± 0.04 6.54 ± 0.13 6.62 ± 0.05 5.2 ± 0.28 5.35 ± 0.06 4.60 ± 0.4 4.59 ± 0.48 PZA (50 μg/ml) 6.08 ± 0.39 6.84 ± 0.02 6.83 ± 0.03 6.30 ± 0.13 6.02 ± 0.44 6.33 ± 0.3 6.49 ± 0.06 Statistics The results were expressed as the mean of the duplicates over at each time point. Differences in the regression coefficients of the log CFU counts with different drug combinations were tested

by analysis of variance using test command in Stata, release 8 (Stata Corp, College station Tx). The standard deviation (SD) of a result was obtained from the variation between CFU counts on the duplicate cultures, estimated separately for the log phase and the stationary phase cultures. Graphing No adequate representation on a logarithmic axis of the CFU count could be made of counts that yielded no colonies since log 0 is minus infinity. A line was therefore drawn to extrapolate the values obtained at the two previous time points provided that it cut the X axis to the left of the time point yielding no colonies.

007), while ftlC, acrA, and acrB were less susceptible to Az compared to the wild-type (p-value < 0.01) (Table 6). The MICs for ftlC, tolC, acrA, and acrB (MIC = 25 μg/ml Az) were greater than the wild-type (MIC of 0.78 μg/ml Az) https://www.selleckchem.com/products/BIRB-796-(Doramapimod).html and had a higher EC50 (EC50 > 12 μg/ml Az) compared

to the wild-type of 0.16 μg/ml Az (p-value < 0.002), indicating decreased sensitivity to the antibiotic. These results are consistent between the MIC and disc inhibition assay for acrA, acrB, and ftlC (Figure 4B, Table 5). The tolC sensitivity to Az results in the solid agar and liquid broth assay were inconsistent. The disc-inhibition assay suggests increased sensitivity, while the MIC assay demonstrated increased resistance. We are currently investigating the basis of this difference. Table 6 Az Disk Inhibition Assay with Francisella transposon RND Efflux mutants.   Antibiotic No Growth Zone (mm) F. novicida Avg p-value wild-type 31.4 ± 1.0   ftlC 28.0 ± 3.1 0.006 tolC 33.2 ± 1.4 0.007 dsbB 30.7 ± 1.2 0.162 acrA 23.5 ± 0.7 <0.001 acrB 25.2 ± 1.1 <0.001 F. tularensis Schu S4 Avg p-value wild-type

25.5 ± 1.9 ——– ΔacrA 41.7 ± 2.7 0.0001 ΔacrB 35.7 click here ± 4.3 0.001 For F. novicida RND efflux mutants, 15 ug Az discs were from Remel, while for F. tularensis Schu S4, 15 ug Az discs were from Fluka. The zone of inhibition was measured in mm. In the disc inhibition assay of the disulfide bond protein mutant dsbB, there was no significant difference compared to the wild-type (p-value = 0.162) (Table 6). Similarly, the MIC for dsbB was not significantly different than the wild-type value (p-value = 0.400) (Table 5). Thus, mutation 4��8C of dsbB does not seem to have a significant impact on the ability of the organism to resist Az, whereas transposon insertion mutants in the tolC, ftlC, acrA and acrB components of the RND efflux system appear to decrease the sensitivity of F. novicida to Az. This result for tolC and ftlC may be in contrast to Gil et al. [12], who found that F. tularensis LVS deletion of tolC or ftlC did not alter the sensitivity to erythromycin (15 μg disc). The MIC of F. tularensis LVS is higher than can be achieved

using a 15 μg disc, reported at >256 μg/ml erythromycin [28]. Therefore, any alteration in sensitivity due to tolC deletion would not be observed at this low concentration of antibiotic. In contrast to the F. novicida results, the F. tularensis Schu S4 ΔacrA mutant and ΔacrB mutants had greater sensitivity to Az compared to the wild-type F. tularensis Schu S4 (p-value < 0.001) (Table 6). This is consistent with the findings of Qin et al. [16] who found an increased sensitivity of ΔacrB to 50 μg disc erythromycin. The MICs for Az against F. tularensis Schu S4 RND efflux mutants were also determined. The MICs for ΔacrA and ΔacrB (MIC > 1.5 μg/ml Az) are higher than the wild-type MIC of 0.78 μg/ml Az (p-value < 0.02) (Figure 4C, Table 5). However, the F.

In the last decade, the emergence of multidrug-resistant (MDR) bacteria, such as extended-spectrum beta-lactamase (ESBL)-producing Enterobacteriaceae, Pseudomonas aeruginosa, Acinetobacter baumannii, Vancomycin-resistant Enterococcus, and Methicillin-resistant Staphylococcus aureus, has become a pressing issue in the treatment of intra-abdominal infections. The increasing emergence of multidrug-resistant bacteria combined with a scant pipeline of new antibiotics to combat these infections (which is particularly disconcerting for 4SC-202 cost infections by gram-negative

microorganisms) has been documented in a recent report by the European Antimicrobial Resistance Surveillance System [25]. In the specific context of intra-abdominal infections, the main resistance problem Selleckchem Fosbretabulin is posed by ESBL-producing Enterobacteriaceae, which are commonly identified in community-acquired infections. The recent and rapid spread of carbapenemases in Klebsiella pneumoniae (KPC) has become an important concern when administering antimicrobial therapy in hospitals worldwide. Scrupulous optimization of the use of carbapenems based on indication and exposure is of utmost importance [26]. Samples obtained from intra-abdominal surgery or interventional drainage procedures should be cultured; these samples should be of sufficient volume (at least 1 mL of fluid

or tissue, preferably more) and should be sent to the laboratory for detailed analysis using an appropriate transport system. Methods Aim The purpose

of the study is to describe the clinical, microbiological, and treatment profiles of community-acquired and healthcare-acquired complicated intra-abdominal infections (IAIs) in Europe. Study population This prospective multicenter observational study will be performed in various European medical institutions over a 6-month period (January-June 2012). Patients undergoing surgery or interventional drainage to address complicated IAI, or patients Bacterial neuraminidase who have yieded positive microbiological cultures upon postoperative drainage (intra-abdominal samples taken from surgery or drainage) will be included in the database. Patients with pancreatitis, primary peritonitis from cirrhosis, or ascites will not be included in the study. Study design This observational study will not attempt to change or modify the laboratory or clinical practices of the participating physicians, and neither informed consent nor formal approval by an Ethics Committee will be required. The study will meet and abide by the standards outlined in the Declaration of Helsinki and Good Epidemiological Practices. Data collection In each center, the coordinator will collect and compile data in an online case report system. These data will include the following: (i) patient and disease characteristics, i.e.