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91.
Vázquez-Luna Alma García-García Fabio Caudillo Contreras Diana I. Rivadeneyra-Domínguez Eduardo Díaz-Sobac Rafael 《Metabolic brain disease》2019,34(2):519-525
Metabolic Brain Disease - Recent reports have shown that commercial orange juice is rich in biogenic amines. Consumption of foods containing large amounts of biogenic amines increase hypertensive... 相似文献
92.
Withaferin A (WA) is a naturally occurring steroidal lactone with proven cancer chemopreventive activity in preclinical models of different cancers including prostate adenocarcinoma. Previously we compared the RNA-seq data from control and WA-treated 22Rv1 human prostate cancer cells to identify mechanistic targets of this phytochemical. The Gene Ontology pathway analysis of the RNA-seq data revealed significant upregulation of genes associated with autophagy upon WA treatment in 22Rv1 cells. In this study, we extended these findings to investigate the mechanism underlying WA-induced autophagy. Initially, we confirmed autophagy induction by WA treatment by transmission electron microscopy using three prostate cancer cell lines (LNCaP, 22Rv1, and PC-3). Fourteen common genes altered by 8- and 16-hour exposure to WA were identified from human autophagy PCR array and these results were consistent with the RNA-seq data. Two key autophagy markers (LC3BII and SQSTM1) were robustly increased in WA-exposed LNCaP, 22Rv1, and PC-3 cells as determined by immunoblotting, and this effect was elevated in the presence of autophagy inhibitor bafilomycin A1 (BafA1). BafA1 treatment augmented WA's cytotoxicity and subsequently its proapoptotic potential. WA treatment induced GABARAPL1 (ATG8L) protein expression in all three cell lines and its knockdown by RNA interference attenuated WA-mediated apoptosis. WA-induced autophagy was not affected in the presence of an antioxidant (EUK134). Taken together, the present study reveals that WA-mediated autophagy is cytoprotective and mediated by GABARAPL1. 相似文献
93.
Cindy H.T. Yeung Simon Fong Paul R.V. Malik Andrea N. Edginton 《Maternal & child nutrition》2020,16(2)
Despite the many benefits of breast milk, mothers taking medication are often uncertain about the risks of drug exposure to their infants and decide not to breastfeed. Physiologically based pharmacokinetic models can contribute to drug‐in‐milk safety assessments by predicting the infant exposure and subsequently, risk for toxic effects that would result from continuous breastfeeding. This review aimed to quantify breast milk intake feeding parameters in term and preterm infants using literature data for input into paediatric physiologically based pharmacokinetic models designed for drug‐in‐milk risk assessment. Ovid MEDLINE and Embase were searched up to July 2, 2019. Key study reference lists and grey literature were reviewed. Title, abstract and full text were screened in nonduplicate. Daily weight‐normalized human milk intake (WHMI) and feeding frequency by age were extracted. The review process retrieved 52 studies. A nonlinear regression equation was constructed to describe the WHMI of exclusively breastfed term infants from birth to 1 year of age. In all cases, preterm infants fed with similar feeding parameters to term infants on a weight‐normalized basis. Maximum WHMI was 152.6 ml/kg/day at 19.7 days, and weighted mean feeding frequency was 7.7 feeds/day. Existing methods for approximating breast milk intake were refined by using a comprehensive set of literature data to describe WHMI and feeding frequency. Milk feeding parameters were quantified for preterm infants, a vulnerable population at risk for high drug exposure and toxic effects. A high‐risk period of exposure at 2–4 weeks of age was identified and can inform future drug‐in‐milk risk assessments. 相似文献
94.
Elena V. Preobrazhenskaya Aglaya G. Iyevleva Amina M. Suleymanova Vladislav I. Tiurin Natalia V. Mitiushkina Ilya V. Bizin Alexandr O. Ivanstov Olga A. Gorustovich Kseniya V. Shelekhova Denis Y. Kachanov Svetlana R. Varfolomeeva Vitaliy Y. Roschin Anna N. Kazakova Dmitriy V. Litvinov Tatiana V. Shamanskaya Nikita A. Savelov Evgeny N. Suspitsin Evgeny N. Imyanitov 《Pediatric blood & cancer》2020,67(5)
95.
V. Papp A. Iljicsov C. Rajda M. Magyari N. Koch‐Henriksen T. Petersen G. Jakab I. Deme F. Nagy P. Imre Z. Lohner K. Kovcs A. J. Birks . Kves G. Rum Z. Nagy L. Kernyi L. Vcsei K. Bencsik Z. Jobbgy P. Diszeghy L. Horvth G. Galntai J. Kasza G. Molnr M. Sim M. Stori C. Rzsa P. cs T. Berki G. Lovas S. Komoly Z. Illes 《European journal of neurology》2020,27(2):308-317
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