Results 191 to 200 of about 17,864,196 (285)

Multi-omics-informed hydrogel design: modulating IL-6 to reduce endoplasmic reticulum stress in bone regeneration. [PDF]

open access: yesBioact Mater
Zhou J   +9 more
europepmc   +1 more source

Type II Alveolar Epithelial Cells Promote Sepsis‐Induced Immunosuppression in Alveolar Macrophages via Exosomal lncRNA Rmrp Release

open access: yesAdvanced Science, EarlyView.
The S100A4/STAT3 axis promotes Rmrp transcription in AEC‐IIs and Rmrp expression in AEC‐II‐derived exosomes. Upon entry into AMs, Rmrp binds to and blocks the ubiquitination and degradation of ZFP36. Increased ZFP36 induced Pfkfb3 mRNA decay by binding to AREs in the 3′ UTR, curbing glycolysis and immune responses of AMs and aggravating SII and ...
Chengxi Liu   +17 more
wiley   +1 more source

SHED-Secretome Gel Promotes Early Alveolar Bone Healing via Osteoblast-Osteoclast Modulation. [PDF]

open access: yesBraz Dent J
Sa'adah N   +6 more
europepmc   +1 more source

Interactions of Interaural Time and Level Differences in Spatial Hearing with Cochlear Implants

open access: yesAdvanced Science, EarlyView.
Differences in timing (ΔT) are weighted heavily compared to differences in loudness (ΔL) in binaural hearing with cochlear implants. Abstract Normally hearing humans can localize sound sources quite accurately, with minimum audible angles as small as 1°. To achieve this, these auditory pathways combine information from multiple acoustic cues, including
Sarah Buchholz   +3 more
wiley   +1 more source

Hippocampal Chandelier Cells Modulate Seizure Susceptibility and Severity

open access: yesAdvanced Science, EarlyView.
The axon initial segment (AIS), crucial for action potential initiation, serves as a prime locus for controlling network activity. Chandelier Cells (ChCs), evolved in the mammals, intricately target AISs, acting as gatekeepers for neuronal firing. Diminishing ChC input makes animals more prone to developing seizures, whereas fortifying this connection ...
Yang Li   +7 more
wiley   +1 more source

Predicting Immunotherapy Outcomes in NSCLC Using RNA and Pathology from Multicenter Clinical Trials

open access: yesAdvanced Science, EarlyView.
LIRA, a machine learning‐based model, is developed using transcriptomic data from 891 NSCLC patients in the OAK and POPLAR cohorts. Its predictive performance is validated in multiple external cohorts. Patients stratified by LIRA‐score exhibit distinct clinical characteristics and tumor microenvironment profiles.
Zhaojun Wang   +32 more
wiley   +1 more source

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