Results 161 to 170 of about 112,735 (309)

Kaempferol Attenuates Myocardial Ischemia–Reperfusion Injury by Suppressing Ferroptosis via the KEAP1–Nrf2–GPX4 Axis

open access: yesThe Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Myocardial ischemia/reperfusion (I/R) injury is characterized by cardiomyocyte death, excessive oxidative stress, inflammation, and ferroptosis, which collectively limit the efficacy of reperfusion therapy. In this study, we investigated whether kaempferol (KAE), a natural flavonol with antioxidative and antiinflammatory properties, could ...
Yan‐Bo Zhao   +6 more
wiley   +1 more source

Recent Advances in Top‐Down Proteomics for Single‐Cell Research

open access: yesMass Spectrometry Reviews, EarlyView.
ABSTRACT Individual cells have distinctive molecular characteristics, including biologically relevant proteoforms. Although single‐cell (SC) molecular omics offer unprecedented insights into cellular heterogeneity and function, the characterization of proteoforms in SCs remains an uncharted territory.
Jake A. Melby, Pei Su, Fabio P. Gomes
wiley   +1 more source

The Neuroprotective Effect of a Waste Byproduct Obtained From Pomegranate (Punica granatum)

open access: yesPhytotherapy Research, EarlyView.
The Effect of a Waste Byproduct Obtained From Pomegranate on Neurodegeneration. ABSTRACT Pomegranate is an exceptional fruit that can have several beneficial effects on human health. The peel of pomegranate, a waste product, should be recovered as it still contains valuable constituents, including phenolic compounds, minerals and fibre. The recovery of
Jessica Maiuolo   +11 more
wiley   +1 more source

SAFE: a Mix‐and‐Read Assay for miRNA Detection in Extracellular Vesicles From Unprocessed Plasma Toward Clinical Disease Diagnosis

open access: yesSmall, EarlyView.
SAFE (Sonication‐Assisted liposome Fusion with EVs) is a rapid, mix‐and‐read assay that directly detects extracellular vesicle–encapsulated miRNAs from unprocessed plasma. By delivering molecular beacons into EVs via sonication‐driven liposome fusion, the method enables intravesicular hybridization with minimal background, providing quantitative ...
Subhra Sulipta Jena   +9 more
wiley   +1 more source

Diagnostic antibodies at an inflection point: From discovery platforms to design‐oriented engineering

open access: yesVIEW, EarlyView.
This study systematically organizes the evolution of diagnostic antibodies from discovery platforms to design‐oriented engineering and analyzes the strengths and limitations of each approach. Meanwhile, it provides a critical, literature‐driven synthesis of current challenges, proposing integrated strategies for assay‐aware and function‐driven antibody
Qitao Song   +14 more
wiley   +1 more source

Two‐Dimensional Materials For Lateral Flow Assays: A Critical Review of Functional Roles and Translational Challenges

open access: yesVIEW, EarlyView.
2D nanosheets, with large surface area, excellent optical/electrical properties, and high specificity, combine with lateral flow assay strips to enable rapid, readable detection, boosting the strips’ development and applications. Abstract Lateral flow assays (LFAs) are widely used for point‐of‐care diagnostics, but their detection capability remains ...
Weimin Xu   +11 more
wiley   +1 more source

Circumstances and clinical significance of cardiac troponin T elevation following transvenous lead extraction. [PDF]

open access: yesPostepy Kardiol Interwencyjnej
Kosior J   +4 more
europepmc   +1 more source

Just be the parent

open access: yes
Journal of Hospital Medicine, EarlyView.
Andrew S. Kern‐Goldberger
wiley   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha   +9 more
wiley   +1 more source

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