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CYP1A1,CYP2E1 and EPHX1 polymorphisms in sporadic colorectal neoplasms

World Journal of Gastroenterology 2016年第45期22卷 9974-9983页

作者： Glaucia Maria M Fernandes Anelise Russo Marcela Alcantara Proenca nathalia fernanda gazola Gabriela Helena Rodrigues Patrícia Matos Biselli-Chicote Ana Elizabete Silva Joao Gomes Netinho érika Cristina Pavarino Eny Maria Goloni-Bertollo Genetics and Molecular Biology Research Unit-UPGEM Department of Molecular Biology Sao José do Rio Preto Medical School FAMERP Departament of Biology UNESP-Sao Paulo State University Departament of Surgery and Coloproctology Service Sao José do Rio Preto Medical School FAMERP

AIM To investigate the contribution of polymorphisms in the CYP1A1, CYP2E1 and EPHX1 genes on sporadic colorectal cancer(SCRC) risk. METHODS Six hundred forty-one individuals(227 patients with SCRC and 400 controls) were enrolled in the study. The variables analyzed were age, gender, tobacco and alcohol consumption, and clinical and histopathological tumor parameters. The CYP1A1 *2A, CYP1A1 *2C CYP2E1 *5B and CYP2E1 *6 polymorphisms were analyzed by polymerase chain reaction-restriction fragment length polymorphism(PCR-RFLP). The EPHX1 Tyr113 His, EPHX1 His139 Arg and CYP1A1 *2C polymorphisms were detected by real-time PCR. Chisquared test and binary logistic regression were used in the statistical analysis. Haplotype analysis was conducted using the Haploview program, version *** Age over 6 2 years was a risk factor for SCRC development(OR = 7.54, 95%CI: 4.94-11.50, P < 0.01). Male individuals were less susceptible to SCRC(OR = 0.55, 95%CI: 0.35-0.85, P < 0.01). The CYP2E1*5B polymorphism was associated with SCRC in the codominant(heterozygous genotype: OR = 2.66, 95%CI: 1.64-4.32, P < 0.01), dominant(OR = 2.82, 95%CI: 1.74-4.55, P < 0.01), overdominant(OR = 2.58, 95%CI: 1.59-4.19, P < 0.01), and log-additive models(OR = 2.84, 95%CI: 1.78-4.52, P < 0.01). The CYP2E1*6 polymorphism was associated with an increased SCRC risk in codominant(heterozygous genotype: OR = 2.81, 95%CI: 1.84-4.28, P < 0.01; homozygous polymorphic : OR = 7. 3 2, 9 5 % C I : 1.85-28.96, P < 0.01), dominant(OR = 2.97, 95%CI: 1.97-4.50, P < 0.01), recessive(OR = 5.26, 95%CI: 1.35-20.50, P = 0.016), overdominant(OR = 2.64, 95%CI: 1.74-4.01, P < 0.01), and log-additive models(OR = 2.78, 95%CI: 1.91-4.06, P < 0.01). The haplotype formed by the minor alleles of the CYP2E1*5B(C) and CYP2E1*6(A) polymorphisms was associated with SCRC(P = 0.002). However, the CYP1A1 *2A, CYP1A1 *2C, EPHX1 Tyr113 His and EPHX1 His139 Arg polymorphisms were not associated with *** In conclusion, the

关键词： Single-nucleotide polymorphisms Colorectal neoplasms Cytochrome P-450 CYP2E1 Cytochrome P-450 CYP1A1 Epoxide hydrolases 1

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Optimization of an innovative approach involving mechanical activation and acid digestion for the extraction of lithium from lepidolite

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International Journal of Minerals,Metallurgy and Materials 2018年第1期25卷 11-19页

作者： nathalia Vieceli Carlos A.Nogueira Manuel F.C.Pereira Fernando O.Durao Carlos Guimaraes fernanda Margarido Center for Innovation Technology and Po icy Research-IN+Instituto Superior T6cnicoUniversity of Lisbon1049-001 LisboaPortugal LNEG-Laborat6rio Nacional de Energia e Geologia I.P.Campus do Lumiar1649-038 LisboaPortugal CERENA-Centro de Recursos Naturais e Ambiente DECivilInstituto Superior T6cnicoUniversity of Lisbon1049-001 LisboaPortugal

The recovery of lithium from hard rock minerals has received increased attention given the high demand for this element. There- fore, this study optimized an innovative process, which does not require a high-temperature calcination step, for lithium extraction from le- pidolite. Mechanical activation and acid digestion were suggested as crucial process parameters, and experimental design and re- sponse-surface methodology were applied to model and optimize the proposed lithium extraction process. The promoting effect of amorphi- zation and the formation of lithium sulfate hydrate on lithium extraction yield were assessed. Several factor combinations led to extraction yields that exceeded 90%, indicating that the proposed process is an effective approach for lithium recovery.

关键词： lepidolite lithium mechanical activation acid digestion optimization extraction

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Lime and orange essential oils and D-limonene as a potential COVID-19 inhibitor:Computational,in chemico,and cytotoxicity analysis

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Food Bioscience 2023年第1期51卷 1151-1158页

作者： Aldrey nathalia Ribeiro Correa Patrícia Weimer Rochele Cassanta Rossi Jessica fernanda Hoffmann Letícia Scherer Koester Edna Sayuri Suyenaga Cristiano Dietrich Ferreira Instituto Tecnologico em Alimentos para Saúde Universidade do Vale do Rio dos Sinos93022-750Sao LeopoldoRSBrazil Programa de Pos-Graduaçao em Ciencias Farmacˆeuticas Universidade Federal do Rio Grande do Sul90610-000Porto AlegreRSBrazil Programa de Pos-Graduaçao em Toxicologia e Analises Toxicologicas Universidade Feevale93352-000Novo HamburgoRSBrazil

The COVID-19 pandemic has substantially impacted the world health systems,causing public health concerns,and the search for new compounds with antiviral activity is of extreme *** molecules with bioactive potential are a trend,with essential oils(Eos)being the focus of recent ***,this study evaluates in chemico the D-limonene inhibitory activities in the viral genome of SARS-CoV-2 and analyzes the cytotoxic potential and safety profile of D-limonene and lime and orange EOs with a high content of *** EOs were extracted and characterized,and the in chemico computational analysis for the determination as a potential anti-SARS-CoV-2 was performed with D-limonene,the major compound in *** cytotoxicity analysis of EOs and Dlimonene was carried out with MRC-5 and HaCaT,and the preliminary safety profile was also evaluated by the HET-CAM assay.D-limonene was suggested as a promising compound for anti-SARS-CoV-2 research,since the molecule does not provide mutagenic and cytotoxic fragments,and does not have irritating potential when diluted,in addition to having favorable pharmacokinetic characteristics,through in chemico ***,the results reveal the antiviral potential of lime and orange EOs,as well as their major *** this sense,further studies should be conducted to understand the antiviral mechanisms.

关键词： Essential oils D-limonene anti-Sars-CoV-2 COVID-19

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Predicting major adverse cardiovascular events after orthotopic liver transplantation using a supervised machine learning model:A cohort study

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World Journal of Hepatology 2024年第2期16卷 193-210页

作者： Jonathan Soldera Leandro Luis Corso Matheus Machado Rech Vinícius Remus Ballotin Lucas Goldmann Bigarella fernanda Tomé nathalia Moraes Rafael Sartori Balbinot Santiago Rodriguez Ajacio Bandeira de Mello Brandão Bruno Hochhegger Post Graduate Program at Acute Medicine and Gastroenterology University of South WalesCardiff CF371DLUnited Kingdom Postgraduate Program in Pathology Federal University of Health Sciences of Porto Alegre(UFCSPA)Porto Alegre 90050-170Brazil Department of Engineering Universidade de Caxias do SulCaxias do Sul 95070-560Brazil School of Medicine Universidade de Caxias do SulCaxias do Sul 95070-560Brazil Postgraduate Program in Hepatology Federal University of Health Sciences of Porto Alegre(UFCSPA)Porto Alegre 90050-170Brazil

BACKGROUND Liver transplant(LT)patients have become older and *** rate of post-LT major adverse cardiovascular events(MACE)has increased,and this in turn raises 30-d post-LT *** cardiac stress testing loses accuracy when applied to pre-LT cirrhotic *** To assess the feasibility and accuracy of a machine learning model used to predict post-LT MACE in a regional *** This retrospective cohort study involved 575 LT patients from a Southern Brazilian academic *** developed a predictive model for post-LT MACE(defined as a composite outcome of stroke,new-onset heart failure,severe arrhythmia,and myocardial infarction)using the extreme gradient boosting(XGBoost)machine learning *** addressed missing data(below 20%)for relevant variables using the k-nearest neighbor imputation method,calculating the mean from the ten nearest neighbors for each *** modeling dataset included 83 features,encompassing patient and laboratory data,cirrhosis complications,and pre-LT cardiac *** performance was assessed using the area under the receiver operating characteristic curve(AUROC).We also employed Shapley additive explanations(SHAP)to interpret feature *** dataset was split into training(75%)and testing(25%)*** was evaluated using the Brier *** followed Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis guidelines for ***-learn and SHAP in Python 3 were used for all *** supplementary material includes code for model development and a user-friendly online MACE prediction *** Of the 537 included patients,23(4.46%)developed in-hospital MACE,with a mean age at transplantation of 52.9 *** majority,66.1%,were *** XGBoost model achieved an impressive AUROC of 0.89 during the training *** model exhibited accuracy,precision,recall,and F1-score values of 0.84,0.85,0.80,and 0.79,***

关键词： Liver transplantation Major adverse cardiac events Machine learning Myocardial perfusion imaging Stress test

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