Publications by authors named "Zhouyang Kang"
Article Synopsis
- * Pulmonary long COVID was observed in 8.7% and 17.8% of patients at 1- and 2-year visits, while renal long COVID affected 15.2% and 23.9% of patients, respectively.
- * A machine learning model accurately predicted these long COVID outcomes using initial clinical and multi-omics data, and proteomics identified specific biomarkers linked to lung and kidney issues.
Article Synopsis
- A study investigated why some COVID-19 patients experience prolonged positivity for the virus, finding that these patients had higher levels of IgG antibodies and regulatory T cells compared to those with shorter viral infections.
- The research identified that prolonged viral shedding was linked to disruption of specific biological pathways, reduced metabolites, increased inflammation, and boosted viral replication.
- A predictive model was developed based on ten molecules, aimed at forecasting the duration of viral RNA shedding in patients, highlighting the role of inflammation and immune suppression in prolonged infections.
Early detection and effective treatment of severe COVID-19 patients remain major challenges. Here, we performed proteomic and metabolomic profiling of sera from 46 COVID-19 and 53 control individuals. We then trained a machine learning model using proteomic and metabolomic measurements from a training cohort of 18 non-severe and 13 severe patients.
View Article and Find Full Text PDFAn important bottleneck in the use of infrared spectroscopy as a powerful tool for obtaining detailed information on protein structure is the assignment of vibrational modes to specific amino acid residues. Side-chain specific isotopic labeling is a general approach towards obtaining such assignments. We report a method for high yield isotope editing of the bacterial blue light sensor photoactive yellow protein (PYP) containing ring-D(4)-Tyr.
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