Results 61 to 70 of about 70,006 (218)

Phosphorylation-Dependent Differences in CXCR4-LASP1-AKT1 Interaction between Breast Cancer and Chronic Myeloid Leukemia

Cells, 2020
The serine/threonine protein kinase AKT1 is a downstream target of the chemokine receptor 4 (CXCR4), and both proteins play a central role in the modulation of diverse cellular processes, including proliferation and cell survival.
Elke Butt, Katrin Stempfle, Lorenz Lister, Felix Wolf, Marcella Kraft, Andreas B. Herrmann, Cristina Perpina Viciano, Christian Weber, Andreas Hochhaus, Thomas Ernst, Carsten Hoffmann, Alma Zernecke, Jochen J. Frietsch   +12 more
doaj   +1 more source

Adverse Health Events in Chronic Myeloid Leukaemia Patients Treated With Tyrosine Kinase Inhibitors 2009–2019: A Real‐World Study From the UK's Haematological Malignancy Research Network

International Journal of Cancer, EarlyView.
Although tyrosine kinase inhibitors (TKIs) improve chronic myeloid leukemia (CML) outcome, long‐term effects remain unclear, particularly in real‐world settings. Here, the authors examined morbidity and mortality in CML patients treated with TKIs between 2009 and 2019 in the United Kingdom.
Eleanor Kane, Alexandra Smith, Debra Howell, Catherine Cargo, Kate Rothwell, Simone Green, Russell Patmore, Eve Roman   +7 more
wiley   +1 more source

Gamma SARS‐CoV‐2 variant of concern infection repercussions on pregnancy outcomes: A translational cohort study

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective This study conduct viral genome sequencing among severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2)‐infected pregnant and postpartum individuals, and investigates disease severity and maternal and perinatal outcomes considering variant of concern (VOC) and non‐VOC groups.
Guilherme M. Nobrega, Fabiana Granja, Mariene R. Amorim, Luciana S. Mofatto, Daniel A. Toledo‐Teixeira, Julia Forato, Priscilla P. Barbosa, Jose Paulo S. Guida, Adriana G. Luz, Giuliane J. Lajos, Carolina C. Ribeiro‐do‐Valle, Gisele A. Pedroso, Kamila C. S. Krywacz, Angelica Z. Schreiber, Giuliana D. Moreno, Rodrigo N. Angerami, Maria Luiza Moretti, Rodolfo C. Pacagnella, Renato T. Souza, Jose Guilherme Cecatti, Rodrigo G. Stabeli, Magnun N. N. Santos, Fernando R. Spilki, Ester C. Sabino, Nuno R. Faria, William M. de Souza, Jose Luiz Proenca‐Modena, Maria Laura Costa   +27 more
wiley   +1 more source

TRIPI: A global dataset and codebase of the total resources in physical infrastructure encompassing road, rail, and parking

Data in Brief
Construction materials are associated with significant environmental and resource impacts. The circular use of materials already in use as stocks may provide an opportunity to reduce these impacts.
Martijn van Engelenburg, Sebastiaan Deetman, Tomer Fishman, Paul Behrens, Ester van der Voet   +4 more
doaj   +1 more source

Validation of the fullPIERS model for predicting severe maternal outcomes in preeclampsia in five Brazilian centers

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective The objective of this study is to validate the fullPIERS (Pre‐eclampsia Integrated Estimate of Risk) prognostic model in a large, multicenter cohort of Brazilian women with preeclampsia and to determine the optimal cutoff for clinical application in the Brazilian context.
Pedro do Valle Teichmann, José Paulo Siqueira Guida, Maria Laura Costa, Leila Katz, Melania Maria Amorim, Jussara Mayrink, Giorgio Tondello, Sergio Hofmeister de Almeida Martins Costa, José Geraldo Lopes Ramos   +8 more
wiley   +1 more source

Ecotoxicity effects on functional diversity – A proof of concept using a sensitivity distribution approach

Environment International
Current approaches for estimating the effects of chemical exposure commonly rely on species sensitivity distributions, which are well-established in ecotoxicological assessments for chemical registration and authorisation.
Annetrude Boeije, S. Henrik Barmentlo, Martina G. Vijver, Laura Scherer   +3 more
doaj   +1 more source

Developing a social vulnerability index for antenatal care screening of risk for adverse maternal and perinatal outcomes

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective Social determinants of health influence maternal and perinatal outcomes, yet tools to operationalize these risks in clinical care remain scarce. We aimed to study social determinants in Brazilian pregnant women and develop a social vulnerability index (SVI) that could correlate with pregnancy and perinatal outcomes.
Gabriel Q. Rippel, Renato T. Souza, Jussara Mayrink, Maria J. Miele, Rafael B. Galvao, Maria L. Costa, Francisco E. Feitosa, Edilberto A. Rocha Filho, Debora F. Leite, Ricardo P. Tedesco, Danielly S. Santana, Karayna G. Fernandes, Janete Vettorazzi, Iracema M. Calderon, Jose G. Cecatti   +14 more
wiley   +1 more source

Ammonia emissions from agricultural products at high resolution across Europe

Scientific Data
Ammonia (NH3) has significant adverse effects on biodiversity, human and ecosystem health. More than 90% of European NH3 emissions originate from manure and synthetic fertilizer.
Xinpeng Jin, Paul Behrens, Jan Willem Erisman, José M. Mogollón   +3 more
doaj   +1 more source

Post‐Translational Modifications of Key Proteins in Hematologic Malignancies: Carcinogenic Mechanisms, Biomarker Potential, and New Therapeutic Strategies

iLABMED, EarlyView.
This article reviews the pivotal role of post‐translational modifications of proteins in the development and progression of hematologic malignancies, and explores their clinical translation potential as novel biomarkers and therapeutic targets. ABSTRACT Post‐translational modifications (PTMs) of proteins have emerged as critical regulators in the ...
Yuxuan Han, Chaowei Zhang, Weiyi Yao, Qing Hong, Xinyu Tang, Yanan Zhu, Na Chen   +6 more
wiley   +1 more source

The needle study: Machine learning as a new method for case‐finding in celiac disease

Journal of Pediatric Gastroenterology and Nutrition, EarlyView.
Abstract Objectives Despite a well‐defined diagnostic work‐up, uncertainties persist regarding celiac disease (CeD) detection strategies in the general population. Machine learning (ML) algorithms offer promise in aiding medical decision‐making on clinical data.
Chiara Maria Trovato, Monica Montuori, Maria Ludovica Costanzo, Giusy Russo, Cosimo Ruggiero, Danila Volpe, Francesca Ferretti, Antonella Diamanti, Carlo Ciliberto, Salvatore Oliva   +9 more
wiley   +1 more source