Zobrazeno 1 - 10
of 205
pro vyhledávání: '"J. Wiest"'
Publikováno v:
Human Vaccines & Immunotherapeutics, Vol 20, Iss 1 (2024)
Many pathogens enter the host through mucosal sites. Thus, interfering with pathogen entry through local neutralization at mucosal sites therefore is an effective strategy for preventing disease. Mucosally administered vaccines have the potential to
Externí odkaz:
https://doaj.org/article/e969c9cef631426caf580411f2c6955b
Autor:
Matthew J. Wiest, Laurie Baert, Chao Gu, Kevin M. Gayler, Hyoungjun Ham, Laurent Gorvel, Mira T. Keddis, Leroy W. Griffing, HyeMee Joo, Jean-Pierre Gorvel, Daniel D. Billadeau, Robert R. Kane, SangKon Oh
Publikováno v:
Frontiers in Immunology, Vol 14 (2023)
Plasmacytoid dendritic cells (pDC) are the major producer of type 1 IFN in response to TLR7 agonists. Aberrant TLR7 activation and type 1 IFN expression by pDCs are linked to the pathogenesis of certain types of autoimmune diseases, including systemi
Externí odkaz:
https://doaj.org/article/84b0569564b24006ad6f0204bb420e8c
Publikováno v:
Education Sciences, Vol 14, Iss 1, p 89 (2024)
A growing body of research demonstrates the effectiveness of computerized cognitive training (CCT) in building specific abilities (e.g., working memory) among school-age children. As a result, CCT is increasingly cited as a means to enhance and suppo
Externí odkaz:
https://doaj.org/article/a01544d892f74468a49fffbc567f2a6c
Autor:
Matthew J. Wiest, Chao Gu, Hyoungjun Ham, Laurent Gorvel, Mira T. Keddis, Leroy W. Griffing, HyeMee Joo, Jean-Pierre Gorvel, Daniel D. Billadeau, SangKon Oh
Publikováno v:
Frontiers in Immunology, Vol 14 (2023)
Plasmacytoid dendritic cells (pDCs) exhibit bifurcated cytokine responses to TLR9 agonists, an IRF7-mediated type 1 IFN response or a pro-inflammatory cytokine response via the activation of NF-κB. This bifurcated response has been hypothesized to r
Externí odkaz:
https://doaj.org/article/a8e2ddcb10aa4441a12222ee3ddd8f0b
Autor:
Kevin Hangartner, Anahita Bajka, Maximilian R. J. Wiest, Sophia Sidhu, Mario D. Toro, Peter M. Maloca, Sandrine A. Zweifel
Publikováno v:
Diagnostics, Vol 13, Iss 15, p 2496 (2023)
Vessel tortuosity (VT) is a parameter used to assess retinal involvement in patients affected by systemic diseases such as Fabry disease (FD). In this study, we assessed a retinal VT index (VTI) using optical coherence tomography angiography (OCTA) i
Externí odkaz:
https://doaj.org/article/85deaa6d0cfb43d2a6c8af1f3eb4a21f
Publikováno v:
Biomedicines, Vol 10, Iss 8, p 1950 (2022)
The sympathetic nervous system (SNS) has either a pro-inflammatory or anti-inflammatory effect, depending on the stage of arthritis. In the past, treatment of arthritic B cells with a β2-adrenergic receptor (β2-ADR) agonist has been shown to attenu
Externí odkaz:
https://doaj.org/article/d38142b306b0418ebd8e0ec977d8d56d
Publikováno v:
Brain Sciences, Vol 12, Iss 2, p 141 (2022)
Students’ use of working memory (WM) is a key to academic success, as many subject areas and various tasks school-aged children encounter require the ability to attend to, work with, and recall information. Children with poor WM ability typically s
Externí odkaz:
https://doaj.org/article/320e166cb1ab40d5b7760cd8f4d895a1
Publikováno v:
Applied Cognitive Psychology. 34:465-471
Autor:
Matteo Ponzano, Matheus J. Wiest, André Coleman, Emily Newton, Maureen Pakosh, Eleni M. Patsakos, David S. K. Magnuson, Lora M. Giangregorio, B. Catharine Craven
Publikováno v:
J Spinal Cord Med
BACKGROUND: Serum alkaline phosphatase (ALP) is measured as an indicator of bone or liver disease. Bone-specific alkaline phosphatase (B-ALP) is an isoform of ALP found in the bone tissue which can predict fractures and heterotopic ossification. OBJE
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9125a8209b24619db56826f20f547214
https://europepmc.org/articles/PMC9987745/
https://europepmc.org/articles/PMC9987745/
Publikováno v:
The Journal of the Acoustical Society of America. 151:A253-A253
Traditional approaches to numerically model acoustic metasurfaces (AMS) with deeply subwavelength features require tremendous computational expense. Metamodels created using machine learning (ML) methods are promising techniques to efficiently and ac