Publications by authors named "Cunwei Sun"

Article Synopsis
  • - Genetic defects in uric acid excretion, particularly involving a variant of the NUMB gene, contribute to hyperuricemia and gout, a condition characterized by elevated uric acid levels.
  • - Researchers discovered this variant through genome-wide sequencing in a family with hereditary gout, revealing that it affects the protein's function, causing it to redistribute improperly within cells.
  • - The study highlights the role of the NUMB protein in regulating the uric acid transporter ABCG2, showing that loss of NUMB function leads to decreased uric acid excretion and increased serum urate levels, as demonstrated in a genetically modified mouse model.
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Background And Aims: The aim of this study was to investigate the association between serum phosphate levels and diabetic retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM).

Methods And Results: The study sample consisted of 1657 T2DM patients hospitalized between 2017 and 2019. Patients were categorized into quartiles based on their serum phosphate levels (Q1-Q4).

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Dipeptidyl peptidase-4 (DPP4) has been proven to exert its functions by both enzymatic and nonenzymatic pathways. The nonenzymatic function of DPP4 in diabetes-associated cognitive impairment remains unexplored. We determined DPP4 protein concentrations or its enzymatic activity in type 2 diabetic patients and db/db mice and tested the impact of the non-enzymatic function of DPP4 on mitochondrial dysfunction and cognitive impairment both in vivo and in vitro.

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The convolutional neural network (CNN) has made great strides in the area of voiceprint recognition; but it needs a huge number of data samples to train a deep neural network. In practice, it is too difficult to get a large number of training samples, and it cannot achieve a better convergence state due to the limited dataset. In order to solve this question, a new method using a deep migration hybrid model is put forward, which makes it easier to realize voiceprint recognition for small samples.

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