Results 161 to 170 of about 9,355,841 (357)

Sialylated Human Apolipoprotein E (apoEs) Is Preferentially Associated with Neuron-Enriched Cultures from APOE Transgenic Mice

open access: yesNeurobiology of Disease, 1999
Mice transgenic for human APOE2, E3, and E4 alleles express native 34-kDa human apoE and two sialylated apoE isoproteins with approximate molecular weights of 37 kDa (apoEs) and 39 kDa (apoEs2) in brain.
Pu-Ting Xu   +7 more
doaj  

Single Administration of AAV‐mAtp6v1b2 Gene Therapy Rescues Hearing and Vestibular Disorders Caused by Atp6v1b2‐Induced Lysosomal Dysfunction in Hair Cells

open access: yesAdvanced Science, EarlyView.
Wei et al. establish a hair cell‐specific conditional knockout mouse model (Atp6v1b2fl/fl;Atoh1Cre/+), and demonstrate the importance of Atp6v1b2 for hair cell through maintaining the survival of lysosomes. A single administration of AAV‐ie‐Eh3‐mAtp6v1b2 through scala media at P0‐P2 realizes function compensation and restores hearing and balance ...
Gege Wei   +15 more
wiley   +1 more source

Presbycusis: Pathology, Signal Pathways, and Therapeutic Strategy

open access: yesAdvanced Science, EarlyView.
In ARHL, the stria vascularis, acting as a cochlear battery, gradually loses its ability to maintain the endocochlear potential, leading to impaired hair cell function and progressive hearing loss. Single‐cell sequencing reveals age‐related cellular changes in the cochlea, providing insights into the underlying mechanisms of aging and potential ...
Xiaoxu Zhao   +12 more
wiley   +1 more source

Apolipoprotein E and Alzheimer's disease: the influence of apolipoprotein E on amyloid-β and other amyloidogenic proteins

open access: yesJournal of Lipid Research, 2017
Alzheimer's disease (AD) is one of the fastest-growing causes of death and disability in persons 65 years of age or older, affecting more than 5 million Americans alone.
Tien-Phat V. Huynh   +3 more
doaj  

Development and Validation of Machine Learning‐Based Marker for Early Detection and Prognosis Stratification of Nonalcoholic Fatty Liver Disease

open access: yesAdvanced Science, EarlyView.
This study constructs a stacked multimodal machine learning model for nonalcoholic fattly liver disease (NAFLD) by integrating genetic and clinical features, and synthesize an in‐silico quantitative marker (ISNLD) that enables personalized risk stratification for intrahepatic and extrahepatic outcomes of high‐risk individuals of NAFLD.
Lushan Xiao   +14 more
wiley   +1 more source

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