Zobrazeno 1 - 10
of 93
pro vyhledávání: '"ALFARAS, P."'
Autor:
Nolan M. Winicki, Alay P. Nanavati, Christopher H. Morrell, Jack M. Moen, Jessie E. Axsom, Melissa Krawczyk, Natalia N. Petrashevskaya, Max G. Beyman, Christopher Ramirez, Irene Alfaras, Sarah J. Mitchell, Magdalena Juhaszova, Daniel R. Riordon, Mingyi Wang, Jing Zhang, Anthony Cerami, Michael Brines, Steven J. Sollott, Rafael de Cabo, Edward G. Lakatta
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2023)
BackgroundAging is associated with increased levels of reactive oxygen species and inflammation that disrupt proteostasis and mitochondrial function and leads to organism-wide frailty later in life. ARA290 (cibinetide), an 11-aa non-hematopoietic pep
Externí odkaz:
https://doaj.org/article/a4bcde25e7274c8b9d6f0a3961d828c8
Autor:
Yanwen Chen, Travis B. Lear, John W. Evankovich, Mads B. Larsen, Bo Lin, Irene Alfaras, Jason R. Kennerdell, Laura Salminen, Daniel P. Camarco, Karina C. Lockwood, Ferhan Tuncer, Jie Liu, Michael M. Myerburg, John F. McDyer, Yuan Liu, Toren Finkel, Bill B. Chen
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-15 (2021)
The serine protease TMPRSS2 primes SARS-CoV-2 glycoprotein for cell entry. Here, the authors perform a screen to identify drugs that reduce TMPRSS2 expression and find that halofuginone modulates proteasome-mediated degradation of TMPRSS2 and reduces
Externí odkaz:
https://doaj.org/article/a96a0ab6494b4682a6b6f2fb49128893
Autor:
Miguel A. Aon, Sonia Cortassa, Magdalena Juhaszova, José A. González-Reyes, Miguel Calvo-Rubio, José M. Villalba, Andrew D. Lachance, Bruce D. Ziman, Sarah J. Mitchell, Kelsey N. Murt, Jessie E. C. Axsom, Irene Alfaras, Steven L. Britton, Lauren G. Koch, Rafael de Cabo, Edward G. Lakatta, Steven J. Sollott
Publikováno v:
npj Aging and Mechanisms of Disease, Vol 7, Iss 1, Pp 1-16 (2021)
Abstract The intrinsic aerobic capacity of an organism is thought to play a role in aging and longevity. Maximal respiratory rate capacity, a metabolic performance measure, is one of the best predictors of cardiovascular- and all-cause mortality. Rat
Externí odkaz:
https://doaj.org/article/14634003ef5e447c891b439fccd94408
Akademický článek
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Autor:
Zouhair Haddi, Bouchra Ananou, Miquel Alfaras, Mustapha Ouladsine, Jean-Claude Deharo, Narcís Avellana, Stéphane Delliaux
Publikováno v:
Algorithms, Vol 15, Iss 7, p 231 (2022)
Atrial fibrillation (AF) is still a major cause of disease morbidity and mortality, making its early diagnosis desirable and urging researchers to develop efficient methods devoted to automatic AF detection. Till now, the analysis of Holter-ECG recor
Externí odkaz:
https://doaj.org/article/5aab335069004538b0a382505c03f981
Autor:
Michael A Petr, Irene Alfaras, Melissa Krawcyzk, Woei-Nan Bair, Sarah J Mitchell, Christopher H Morrell, Stephanie A Studenski, Nathan L Price, Kenneth W Fishbein, Richard G Spencer, Morten Scheibye-Knudsen, Edward G Lakatta, Luigi Ferrucci, Miguel A Aon, Michel Bernier, Rafael de Cabo
Publikováno v:
eLife, Vol 10 (2021)
Aging is associated with distinct phenotypical, physiological, and functional changes, leading to disease and death. The progression of aging-related traits varies widely among individuals, influenced by their environment, lifestyle, and genetics. In
Externí odkaz:
https://doaj.org/article/835e6a3f5fb640ebb35d98290ea431ee
Autor:
Irene Alfaras, Sarah J. Mitchell, Hector Mora, Darisbeth Rosario Lugo, Alessandra Warren, Ignacio Navas-Enamorado, Vickie Hoffmann, Christopher Hine, James R. Mitchell, David G. Le Couteur, Victoria C. Cogger, Michel Bernier, Rafael de Cabo
Publikováno v:
npj Aging and Mechanisms of Disease, Vol 3, Iss 1, Pp 1-13 (2017)
Intermittent use of metformin improves healthspan in old mice Chronic daily exposure to a high dose of metformin (e.g., 1% w/w) shortens lifespan of non-diabetic mice, although in the short term this treatment confers a similar pattern of gene expres
Externí odkaz:
https://doaj.org/article/152539cd501d45ffb8c1f8e7c9698a5c
Publikováno v:
Frontiers in Physics, Vol 7 (2019)
We present a fully automatic and fast ECG arrhythmia classifier based on a simple brain-inspired machine learning approach known as Echo State Networks. Our classifier has a low-demanding feature processing that only requires a single ECG lead. Its t
Externí odkaz:
https://doaj.org/article/8819c6c1d48c456caebd40aab9a765a8
Akademický článek
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Akademický článek
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