Publications by authors named "J S Zheng"

Background: The rise in endometrial cancer rates globally calls for advanced diagnostic methods and new biomarkers. CPA4, known for its role in cancer development, has not yet been studied in relation to endometrial cancer, making it a promising research avenue.

Methods: We analyzed CPA4's mRNA expression using data from TCGA and GEO databases and validated these findings with 116 clinical samples through immunohistochemical analysis.

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Background: The prevention and treatment of perinatal depression are currently the focus of perinatal health care, with cognitive reactivity confirmed to be an important predictor. However, how cognitive reactivity mediates the relationship between psychosocial factors (e.g.

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Machine learning can be applied to identify key genes associated with osteoarthritis (OA). This study aimed to explore the differential expression of necroptosis-related genes (NRGs) during the progression of OA, identify key gene modules strongly linked to the onset of OA, and assess the role of CASP1 and its correlation with immune cell infiltration in OA. Gene expression profile data were obtained for OA and normal tissues: GSE55235 (10 OA and 10 normal synovial tissues) and GSE46750 (12 OA and 12 normal synovial tissues).

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This study investigates the conditions under which the provision of social support enhances subjective well-being, focusing specifically on the autonomy and effectiveness of social support among a sample of 206 university students. Utilizing a 2 × 2 between-subjects experimental design, the findings reveal that the autonomy of social support provision significantly influences subjective well-being, with participants in the voluntary group reporting markedly higher levels of subjective well-being than those in the non-voluntary. Additionally, the perceived effectiveness of social support is shown to significantly affect subjective well-being; individuals who regarded the support as effective exhibited substantially higher levels of subjective well-being compared to those who deemed it ineffective.

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Rapid and precise identification of the pathogens causing sepsis remains a significant diagnostic challenge. Blood culture is time-consuming and insensitive, while molecular diagnostic techniques, such as the polymerase chain reaction (PCR), are fast but greatly influenced by template quality. Here, we present a new approach to separate trace amounts of pathogen DNA from blood, which utilizes lysozyme to destroy bacteria and release DNA, followed by enrichment and purification using magnetic nanoparticles (MNPs) modified with kanamycin (Kan) or tobramycin (TM).

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