Publications by authors named "W D Jiang"

The global surge in the population of people 60 years and older, including that in China, challenges healthcare systems with rising age-related diseases. To address this demographic change, the Aging Biomarker Consortium (ABC) has launched the X-Age Project to develop a comprehensive aging evaluation system tailored to the Chinese population. Our goal is to identify robust biomarkers and construct composite aging clocks that capture biological age, defined as an individual's physiological and molecular state, across diverse Chinese cohorts.

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G protein-coupled receptors (GPCRs) engage multiple transducers to regulate distinct physiological processes. These transducers include various G proteins subtypes, GPCR kinases (GRKs), and β-arrestins. In addition to promoting receptor desensitization, β-arrestins serve as scaffolds for signaling via non-G protein pathways.

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Surface-enhanced Raman spectroscopy (SERS) has shown potential for early disease diagnosis via urinary metabolomics, but still faces challenges in achieving stable hot spots and processing complex clinical data. In this study, the preparation of chiral gold nanostars with precisely controllable branch size, number, and sharpness was realized by investigating the effects of l-GSH and CTA ( indicates halides) on site occupancy, reduction rate, and selective adsorption on crystal facets. Raman spectroscopic characterization using rhodamine 6G (R6G) as a reporter molecule revealed that nanoparticles with fewer branches, larger branch bases, and smoother surfaces exhibited excellent SERS activity, with an analytical enhancement factor (AEF) of 5.

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The high prevalence and drug resistance of superficial fungal infections (SFIs) pose a serious global public health challenge, urgently necessitating the development of novel antifungal drugs with unique structures and novel targets. Evodiamine derivatives are promising antifungal drug leads, yet they suffer from suboptimal activity and unclear action mechanisms. In this study, a series of N(14)-phenyl evodiamine derivatives were designed, synthesized and tested for their biological activities.

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Mammography is a primary method for early screening, and developing deep learning-based computer-aided systems is of great significance. However, current deep learning models typically treat each image as an independent entity for diagnosis, rather than integrating images from multiple views to diagnose the patient. These methods do not fully consider and address the complex interactions between different views, resulting in poor diagnostic performance and interpretability.

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