Evaluación biomecánica de suturas autofijables en modelo experimental animal

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Cumulative exposure to tacrolimus and incidence of cancer after liver transplantation

Cancer is the leading cause of death after liver transplantation (LT). This multicenter case–control nested study aimed to evaluate the effect of maintenance immunosuppres sion on post-LT malignancy. The eligible cohort included 2495 LT patacrolimus-based immunosuppression. After 13 922 person/years follow-up, 425 patients (19.7%) developed malignancy (cases) and were matched with 425 controls by propensity score based on age, gender, smoking habit, etiology of liver disease, and hepatocellular carcinoma (HCC) before LT. The independent predictors of post-LT malignancy were older age (HR = 1.06 [95% CI 1.05–1.07]; p < .001), male sex (HR = 1.50 [95% CI 1.14–1.99]), smoking habit (HR = 1.96 [95% CI 1.42–2.66]), and alcoholic liver disease (HR = 1.53 [95% CI 1.19–1.97]). In selected cases and controls (n = 850), the immunosuppression protocol was similar (p = .51). An increased cumulative exposure to tacrolimus (CET), calculated by the area under curve of trough concentrations, was the only immunosuppression-related predictor of post-LT malignancy after controlling for clinical features and baseline HCC (CET at 3 months p = .001 and CET at 12 months p = .004). This effect was consistent for de novo malignancy (after excluding HCC recurrence) and for internal neoplasms (after excluding non-melanoma skin cancer). Therefore, tacrolimus minimization, as monitored by CET, is the key to modulate immunosuppression in order to prevent cancer after LT

Animal-Origin Prebiotics Based on Chitin: An Alternative for the Future? A Critical Review

The human gut microbiota has been revealed in recent years as a factor that plays a decisive role in the maintenance of human health, as well as in the development of many non-communicable diseases. This microbiota can be modulated by various dietary factors, among which complex carbohydrates have a great influence. Although most complex carbohydrates included in the human diet come from vegetables, there are also options to include complex carbohydrates from non-vegetable sources, such as chitin and its derivatives. Chitin, and its derivatives such as chitosan can be obtained from non-vegetable sources, the best being insects, crustacean exoskeletons and fungi. The present review offers a broad perspective of the current knowledge surrounding the impacts of chitin and its derived polysaccharides on the human gut microbiota and the profound need for more in-depth investigations into this topic. Overall, the effects of whole insects or meal on the gut microbiota have contradictory results, possibly due to their high protein content. Better results are obtained for the case of chitin derivatives, regarding both metabolic effects and effects on the gut microbiota compositionThe authors thank the European Regional Development Funds (FEDER), grant ED431C 2018/05, and Programa Iberoamericano de Ciencia y Tecnología para el Desarrollo (CyTED), grant PCI2018-093245 for covering the cost of publicationS

Calidad microbiológica y resistencia a antimicrobianos de Escherichia coli y Staphylococcus aureus aislados a partir de queso “Arzúa-Ulloa” convencional y ecológico

The presence of Escherichia coli, Staphylococcus aureus, Listeria monocytogenes and Salmonella spp. was tested in 184 cheese samples included in the Protected Designation of Origin ‘‘Arzu´a-Ulloa’’. From these samples, 57 were raw-milk conventional cheese (RCC), 67 were pasteurized-milk conventional cheese (PCC) and the remaining 60 were pasteurized-milk organic cheese (POC). From these samples, a total of 287 E. coli and 281 S. aureus isolates were analyzed by an agar disk diffusion assay for their resistance to 11 antimicrobial agents. No significant differences were seen in microbiological general acceptance according to European Regulation 2073/2005. Only L. monocytogenes showed unsatisfactorily high levels in RCC samples as compared to PCC (P ¼ 0.0334) and POC (P ¼ 0.0138) samples. Although it was found that both E. coli and S. aureus isolated from POC samples showed lower resistance to some antimicrobials than isolates from RCC and/or PCC, for other antimicrobials higher resistance rates were found for POC isolates than conventional ones. Thus, the differences in antimicrobial resistance were too ambiguous to recommend a higher use of antimicrobials in conventional dairy herds than in organic onesLa presencia de Escherichia coli, Staphylococcus aureus, Listeria monocytogenes y Salmonella spp fue investigada en 184 quesos pertenecientes a la denominación de origen ‘‘Arzúa-Ulloa’’. De estas muestras, 57 correspondieron a quesos fabricados a partir de leche cruda convencional (RCC), 67 correspondieron a quesos fabricados a partir de leche pasteurizada convencional (PCC), y las restantes 60 muestras correspondieron a quesos fabricados a partir de leche pasteurizada ecológica (POC). A partir de dichas muestras, se aislaron un total de 287 cepas de E. coli y 281 de S. aureus y posteriormente se investigó la resistencia a 11 antimicrobianos de estas cepas mediante el método de difusión en agar. No se encontraron diferencias significativas en la aceptabilidad microbiológica de acuerdo a lo establecido en el Reglamento Europeo 2073/2005. Sólo en el caso de L. monocytogenes, se observó una mayor de proporción de muestras inaceptables en RCC con respecto a PCC (P ¼ 0,0334) y POC (P ¼ 0,0138). Aunque tanto los E. coli como los S. aureus aislados a partir de POC mostraron menores tasas de resistencia a algunos antimicrobianos que las cepas aisladas a partir de RCC y/o PCC, en el caso de otros antimicrobianos se encontró una mayor tasa de resistencia que en las muestras procedentes de leche convencional. Por lo tanto, las diferencias encontradas en la resistencia a antimicrobianos en función del tipo de leche utilizado en la fabricación del queso resultaron demasiado ambiguas para demostrar un mayor uso de antimicrobianos en la producción de leche convencional que en el caso de la ecológicaThe authors are thankful for financial support from Dirección Xeral de Ordenación e Calidade do Sistema Universitario de Galicia, Consellería de Educación e Ordenación Universitaria-Xunta de GaliciaS

Probiotic Effects against Virus Infections: New Weapons for an Old War

This review aimed to gather the available literature investigating the effects of probiotics against the most common viral infections using in vitro trials in cell lines and in vivo clinical trials in both experimental animals and humans. Probiotics were employed to prevent and reduce symptoms of infections caused by common viruses, especially respiratory tract viruses, but also for viral digestive infections (such as rotavirus, coronavirus, or norovirus) and other viral infections (such as viruses that cause hepatitis, human papillomavirus, human immunodeficiency virus, and herpes simplex virus). Different probiotics have been studied to see their possible effect against the abovementioned viruses, among which different Lactobacillus species, Bifidobacterium, Clostridium, Enterococcus, and Streptococcus can be highlighted. In many cases, mixtures of various probiotic strains were used. Although the results obtained did not show similar results, in most cases, probiotic supplementation improved both barrier and biochemical immune responses, decreased susceptibility to viral infections, and enhanced the effects of concomitant vaccines. Works collected in this review show a beneficial effect of probiotics in the prevention and treatment of different viral infections. We found interesting results related to the prevention of viral infections, reduction of the duration of diseases, and decrease of symptomsThe authors thank the European Regional Development Funds (FEDER), grant ED431C 2018/05, and Programa Iberoamericano de Ciencia y Tecnología para el Desarrollo (CyTED), grant PCI2018-093245 for covering the cost of publicationS

TARTESSUS: A customized electrospun drug delivery system loaded with Irinotecan for Local and sustained chemotherapy release in pancreatic cancer

Post-surgical chemotherapy in pancreatic cancer has notorious side effects due to the high dose required. Multiple devices have been designed to tackle this aspect and achieve a delayed drug release. This study aimed to explore the controlled and sustained local delivery of a reduced drug dose from an irinotecan-loaded electrospun nanofiber membrane (named TARTESSUS) that can be placed on the patients' tissue after tumor resection surgery. The drug delivery system formulation was made of polycaprolactone (PCL). The mechanical properties and the release kinetics of the drug were adjusted by the electrospinning parameters and by the polymer ratio between 10 w.t.% and 14 w.t.% of PCL in formic acid:acetic acid:chloroform (47.5:47.5:5). The irinotecan release analysis was performed and three different release periods were obtained, depending on the concentration of the polymer in the dissolution. The TARTESSUS device was tested in 2D and 3D cell cultures and it demonstrated a decrease in cell viability in 2D culture between 72 h and day 7 from the start of treatment. In 3D culture, a decrease in viability was seen between 72 h, day 7 (p < 0.001), day 10 (p < 0.001), 14 (p < 0.001), and day 17 (p = 0.003) as well as a decrease in proliferation between 72 h and day 10 (p = 0.030) and a reduction in spheroid size during days 10 (p = 0.001), 14 (p < 0.001), and 17 (p < 0.001). In conclusion, TARTESSUS showed a successful encapsulation of a chemotherapeutic drug and a sustained and delayed release with an adjustable releasing period to optimize the therapeutic effect in pancreatic cancer treatment

Circulating Tumor Cells Enumeration from the Portal Vein for Risk Stratification in Early Pancreatic Cancer Patients

[Simple Summary] Effective biomarkers are needed to enable personalized medicine for pancreatic cancer patients. This study analyzes the prognostic value, in early pancreatic cancer, of circulating tumor cells and clusters from the central venous catheter and portal blood. Circulating tumor cells were isolated using an immunomagnetic selection and were detected by microscopy using immunocytochemistry staining. In conclusion, the circulating tumor cell number in portal blood identifies a death risk in patients with early pancreatic cancer.[Abstract] Background. Effective biomarkers are needed to enable personalized medicine for pancreatic cancer patients. This study analyzes the prognostic value, in early pancreatic cancer, of single circulating tumor cell (CTC) and CTC clusters from the central venous catheter (CVC) and portal blood (PV). Methods. In total, 7 mL of PV and CVC blood from 35 patients with early pancreatic cancer were analyzed. CTC were isolated using a positive immunomagnetic selection. The detection and identification of CTC were performed by immunocytochemistry (ICC) and were analyzed by Epi-fluorescence and confocal microscopy. Results. CTC and the clusters were detected both in PV and CVC. In both samples, the CTC number per cluster was higher in patients with grade three or poorly differentiated tumors (G3) than in patients with well (G1) or moderately (G2) differentiated. Patients with fewer than 185 CTC in PV exhibited a longer OS than patients with more than 185 CTC (24.5 vs. 10.0 months; p = 0.018). Similarly, patients with fewer than 15 clusters in PV showed a longer OS than patients with more than 15 clusters (19 vs. 10 months; p = 0.004). These significant correlations were not observed in CVC analyses. Conclusions. CTC presence in PV could be an important prognostic factor to predict poor prognosis in early pancreatic cancer. In addition, the number of clustered-CTC correlate to a tumor negative differentiation degree and, therefore, could be used as a diagnostic biomarker for pancreatic cancer.This research was funded by Carlos III Health Institute (Health Research Fund) grant number PI16/01465 and PI19/01821 (Co-financed by the European Regional Development Fund “A way to make Europe”)

Development of a liver graft assessment expert machine-learning system: when the artificial intelligence helps liver transplant surgeons

BackgroundThe complex process of liver graft assessment is one point for improvement in liver transplantation. The main objective of this study is to develop a tool that supports the surgeon who is responsible for liver donation in the decision-making process whether to accept a graft or not using the initial variables available to it.Material and methodLiver graft samples candidate for liver transplantation after donor brain death were studied. All of them were evaluated “in situ” for transplantation, and those discarded after the “in situ” evaluation were considered as no transplantable liver grafts, while those grafts transplanted after “in situ” evaluation were considered as transplantable liver grafts. First, a single-center, retrospective and cohort study identifying the risk factors associated with the no transplantable group was performed. Then, a prediction model decision support system based on machine learning, and using a tree ensemble boosting classifier that is capable of helping to decide whether to accept or decline a donor liver graft, was developed.ResultsA total of 350 liver grafts that were evaluated for liver transplantation were studied. Steatosis was the most frequent reason for classifying grafts as no transplantable, and the main risk factors identified in the univariant study were age, dyslipidemia, personal medical history, personal surgical history, bilirubinemia, and the result of previous liver ultrasound (p &lt; 0.05). When studying the developed model, we observe that the best performance reordering in terms of accuracy corresponds to 76.29% with an area under the curve of 0.79. Furthermore, the model provides a classification together with a confidence index of reliability, for most cases in our data, with the probability of success in the prediction being above 0.85.ConclusionThe tool presented in this study obtains a high accuracy in predicting whether a liver graft will be transplanted or deemed non-transplantable based on the initial variables assigned to it. The inherent capacity for improvement in the system causes the rate of correct predictions to increase as new data are entered. Therefore, we believe it is a tool that can help optimize the graft pool for liver transplantation

PDA-Based Glyconanomicelles for Hepatocellular Carcinoma Cells Active Targeting Via Mannose and Asialoglycoprotein Receptors

Hepatocellular carcinoma (HCC) is the sixth most common neoplasia and the fourth most common cause of cancer-related mortality worldwide. Sorafenib is the first-line molecular therapy for patients in an advanced stage of HCC. However, the recommended clinical dose of Sorafenib is associated with several complications, which derive from its lack of cell specificity and its very low water solubility. To circumvent these drawbacks, in the present study we developed two sugar-coated polydiacetylene-based nanomicelles-Sorafenib carriers targeting mannose and asialoglycoprotein receptors (MR and ASGPR, respectively). The strategies allowed the inducement of apoptosis and reduction of cell proliferation at a nanomolar, instead of micromolar, range in liver cancer cells. The study showed that, contrary to literature data, Sorafenib included into the pMicMan (Man = mannose) vector (targeting MR) is more efficient than pMicGal (Gal = galactose) (targeting ASGPR). Indeed, pMicMan increased the endosomal incorporation with an increased intracellular Sorafenib concentration that induced apoptosis and reduced cell proliferation at a low concentration range (10-20 nM).Financial support was provided by the Spanish Ministry of Economy and Competitiveness (CTQ2016-78580-C2-1-R to N.K.) and the Institute of Health Carlos III (ISCIII) (PI13/00021, PI16/00090, and PI19/01266 to J.M.) both cofinanced by the European Regional Development Fund (ERDF) from FEDER and the European Social Fund (ESF), as well by the Andalusian Ministry of Economy, Science and Innovation (P07-FQM-2774 to N.K., CV20-04221 to N.K. P20_00882 to N.K. and CTS-6264 to J.M.), the PAIDI Program from the Andalusian Government (FQM-313 to N.K., CV20-04221 to N.K., P20_00882 to N.K., P20_00882 to N.K., and CTS-0664 to J.M.), the Andalusian Ministry of Health (PI-00025-2013, and PI-0198-2016 to J.M.), and the CSIC (CSIC–COV19-047). We thank the Biomedical Research Network Center for Liver and Digestive Diseases founded by the ISCIII and cofinanced by FEDER “A way to achieve Europe” and ERDF for their financial support. The COST action CA-18132 “Functional Glyconanomaterials for the Development of Diagnostic and Targeted Therapeutic Probe” is also acknowledged. E.R.B., C.C.A., and P. de la C.-O. were supported by FPU predoctoral fellowship (FPU15/04267, FPU17/00190, and FPU17/00026) from Spanish Ministry of Education, Culture and Sports. E.N.-V. was supported by the predoctoral i-PFIS IIS-enterprise contract in science and technologies in health (IFI18/00014) from ISCiii.Peer reviewe

Differential cross section measurements for the production of a W boson in association with jets in proton–proton collisions at √s = 7 TeV

Measurements are reported of differential cross sections for the production of a W boson, which decays into a muon and a neutrino, in association with jets, as a function of several variables, including the transverse momenta (pT) and pseudorapidities of the four leading jets, the scalar sum of jet transverse momenta (HT), and the difference in azimuthal angle between the directions of each jet and the muon. The data sample of pp collisions at a centre-of-mass energy of 7 TeV was collected with the CMS detector at the LHC and corresponds to an integrated luminosity of 5.0 fb[superscript −1]. The measured cross sections are compared to predictions from Monte Carlo generators, MadGraph + pythia and sherpa, and to next-to-leading-order calculations from BlackHat + sherpa. The differential cross sections are found to be in agreement with the predictions, apart from the pT distributions of the leading jets at high pT values, the distributions of the HT at high-HT and low jet multiplicity, and the distribution of the difference in azimuthal angle between the leading jet and the muon at low values.United States. Dept. of EnergyNational Science Foundation (U.S.)Alfred P. Sloan Foundatio