Results 151 to 160 of about 4,388 (197)

Integrated PANoptosis Profiling Identifies Immunosuppressive Subtypes and a Prognostic Signature With Functional Validation of MLKL in Glioblastoma

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The prognosis of glioblastoma (GBM) remains highly unfavorable, largely due to high tumor heterogeneity and an immunosuppressive microenvironment. However, the functional role of PANoptosis in this context is poorly understood. Methods Patients were stratified via K‐means clustering. A risk score model was constructed using prognosis‐
Langfei Tian, Minghui Zhao, Yuanbo Hu, Kaiyue Wang, Haiguang Liu, Zetong Bai, Kebin Zheng   +6 more
wiley   +1 more source

The impact of digitalization and organizational changes on older workers' insecurity in the finance sector in Sweden and Czechia. [PDF]

Front Sociol
Křížková A, Krekula C, Rašticová M, Heřmanová M, Sjödin J.   +4 more
europepmc   +1 more source

Validation of a Cellular Imaging‐Based Method as a Potential Biomarker for SPG4 Hereditary Spastic Paraplegia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Hereditary Spastic Paraplegia (HSP) comprises a group of rare genetic diseases characterized by length‐dependent axonal degeneration of the corticospinal tracts and dorsal columns, whose main clinical feature is spastic gait. Pathogenic variants in the SPG4 gene cause Spastic Paraplegia Type 4 (SPG4‐HSP), the most common form of HSP.
Gaia Fattorini, Valerio Licursi, Gianmarco Dalla Zanna, Flavio Dal Canto, Melissa Barghigiani, Nunzio Setola, Salvatore Rossi, Antonio Funcis, Filippo M. Santorelli, Gabriella Silvestri, Carlo Casali, Francesca Sardina, Cinzia Rinaldo   +12 more
wiley   +1 more source

Stage‐Dependent β‐Synuclein Links MRI and Cognitive Decline in Alzheimer's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Synaptic degeneration drives cognitive decline in Alzheimer's disease (AD), but synaptic biomarkers are scarce. Brain‐enriched β‐synuclein emerged as a synaptic damage marker. We investigated its diagnostic, prognostic, and structural correlates across the AD continuum.
Ulaş Ay, Merve Alaylioglu, Erdi Sahin, Sanem Sultan Yoruk Oner, Gulce Iskan, Gulce Cosku Yilmaz Cakan, Gozde Kizilates‐Evin, Emre Hari, Elif Kurt, Erdinc Dursun, Basar Bilgic, Hasmet Hanagasi, Hakan Gurvit, Tamer Demiralp, Duygu Gezen‐Ak, Bedia Samanci   +15 more
wiley   +1 more source

Walk a mile in my old shoes: an intervention study on age simulation suit training for correctional staff. [PDF]

Innov Aging
Humblet D.
europepmc   +1 more source

Augmenting and Assaying Nav1.1 Protein Quantity for Dravet Syndrome Therapy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Dravet Syndrome (DS) is a developmental and epileptic encephalopathy predominantly caused by heterozygous loss‐of‐function variants in SCN1A, which encodes Nav1.1. Conserved upstream open reading frames (uORFs) in SCN1A were validated to regulate translation in reporter assays, demonstrating the therapeutic viability of increasing Nav1.1 from ...
Aiswarya Saravanan, Jordan Safran, Anna Loughman, Grace Lin, Shivanshi Vaid, Dana Allababidi, Peter M. Tessier, Louis T. Dang   +7 more
wiley   +1 more source

Psychometric validation of the Arabic WHO Ageism Experiences Scale in Libya: evidence from a humanitarian context. [PDF]

Age Ageing
Li X, Alameen A, Alagaili R, Gebril J, Abi Chahine M, Timlin A, Murray AL.   +6 more
europepmc   +1 more source

Older people's experiences of and reactions to ageism. [PDF]

Innov Aging
Morrow-Howell N, Li AC, Galucia N, Carpenter BD.   +3 more
europepmc   +1 more source

Stakeholders' perceptions on guidelines to prevent abuse of older people in Norway: a qualitative analysis. [PDF]

BMC Geriatr
Bell-Mizori AR, Tokovska M, Botngård A, Malmedal WK, Ferreira VN.   +4 more
europepmc   +1 more source

Experiences of Ageism in mHealth App Usage Among Older Adults: Interview Study Among Older Adults Based on Extended Unified Theory of Acceptance and Use of Technology and Risks of Ageism Models. [PDF]

JMIR Aging
Sun J, Liu Y, Zhang C, Xing Y, Zhou W, Luan W.   +5 more
europepmc   +1 more source