Publications by authors named "W Y Di"

Background: The simultaneous amplification/testing for tuberculosis (SAT-TB) targets specific 16s rRNA for detecting Mycobacterium tuberculosis in real-time.

Objective: To evaluate SAT-TB's performance in detecting intestinal and urinary TB using stool and urine samples.

Methods: Stool (94) and urine samples (69) (From 2021 to 2022), were collected from pulmonary combined with suspected intestinal or urinary tuberculosis.

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Background: Vitamin D (VD) plays a critical role in regulating systemic inflammation, but its correlation with the systemic immune-inflammatory index (SII) remains unclear. This study aimed to explore the relationship between serum VD concentration, dietary VD intake, and SII using data from the National Health and Nutrition Examination Survey (NHANES).

Methods: Data from NHANES 2007-2018 and NHANES 2007-2020 were analyzed for serum VD levels and dietary VD intake, respectively.

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Background: Fascioliasis is a zoonotic parasitic disease caused by Fasciola hepatica and Fasciola gigantica, which poses a serious threat to global public health and livestock farming. Fasciola gigantica secretes and excretes various components to manipulate the immune response, thereby enhancing its invasion, migration, and survival in vivo. However, the roles of specific components in immune modulation, such as asparagine endopeptidase, remain unknown.

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Neuroendocrine neoplasms of the pancreas (pNENs) are rare. In February 2021, a 54-year-old woman was diagnosed with pNEN and multiple metastases within the liver. The patient, diagnosed with grade G2 neuroendocrine neoplasm (T4N0M1), underwent an ultrasonography-guided liver biopsy and radiofrequency ablation.

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Accurate assessment and quantification of neoangiogenesis associated with breast cancer could be potentially used to improve the sensitivity and specificity of non-invasive diagnosis, as well as predict outcomes and monitor treatment effects. In this study, we adapted an emerging technology, namely diffuse correlation tomography (DCT), to image microvascular blood flow in breast tissues and evaluate the potential for discriminating between benign and malignant lesions. A custom-made DCT system was designed for breast blood flow imaging, with both the source-detector array and reconstruction algorithm optimized to ensure precise imaging of breast blood flow.

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