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Development and evaluation of optimized PCR and indirect ELISA for the detection of in dairy cows.
Front Vet Sci
January 2025
College of Veterinary Medicine, Shandong Agricultural University, Tai'an, China.
Introduction: () is a Gram-negative opportunistic pathogen, whose increasing virulence and antibiotic resistance negatively impact dairy cow health and productivity, raising concerns in livestock health management. To mitigate this risk, rapid and reliable diagnostic methods for detection are essential. Currently, detection methods for are underdeveloped, prompting us to develop both pathogenic and serological detection methods, including an optimized PCR technique and an indirect enzyme-linked immunosorbent assay (I-ELISA).
View Article and Find Full Text PDFPreparation and evaluation of T4SS recombinant proteins in serodiagnosis of human brucellosis based on TMT-based proteomics technology.
Front Cell Infect Microbiol
January 2025
Jiangsu Engineering Research Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Introduction: Brucellosis, a significant zoonotic infectious disease, poses a global health threat. Accurate and efficient diagnosis is crucial for prevention, control, and treatment of brucellosis. VirB proteins, components of the Type IV secretion system (T4SS) in , play a pivotal role in bacterial virulence and pathogenesis but have been understudied for their diagnostic potential.
View Article and Find Full Text PDFAn electrochemical nano-genosensor for SARS-CoV-2 detection utilizing Ce-metal organic framework, dendritic palladium nano-structure, and sulfur-doped graphene oxide.
Talanta
January 2025
Enzyme Technology Laboratory, Department of Biochemistry, Genetic and Metabolism Research Group, Pasteur Institute of Iran, 13169-43551, Tehran, Iran. Electronic address:
The emergence of COVID-19 has underscored an urgent demand to develop an innovative, rapid, and reliable diagnostic tool for early detection of the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2). Biosensors present a viable alternative, offering reliability, precision, and cost efficiency that address the limitations of current molecular and serological detection methods, thus facilitating timely identification of COVID-19. In this study, a novel nano-genosenor platform fabricated using advanced nanomaterials based on Ce-metal organic framework (Ce-MOF), dendritic palladium nano-structure (Den-PdNS), and sulfur-doped reduced graphene oxide (S-rGO) for detection of RNA-dependent RNA polymerase (RdRp) SARS-CoV-2 gene targets.
View Article and Find Full Text PDFEstablishing a preoperative predictive model for gallbladder adenoma and cholesterol polyps based on machine learning: a multicentre retrospective study.
World J Surg Oncol
January 2025
Department of Hepatobiliary and Pancreas, Affiliated Hospital of Qingdao University, NO.1677 Wutaishan Road, Qingdao, Shandong Province, 266555, China.
Background: With the rising diagnostic rate of gallbladder polypoid lesions (GPLs), differentiating benign cholesterol polyps from gallbladder adenomas with a higher preoperative malignancy risk is crucial. This study aimed to establish a preoperative prediction model capable of accurately distinguishing between gallbladder adenomas and cholesterol polyps using machine learning algorithms.
Materials And Methods: We retrospectively analysed the patients' clinical baseline data, serological indicators, and ultrasound imaging data.
Preparation and application of a multiepitope fusion protein based on bioinformatics and Tandem Mass Tag-based proteomics technology.
Front Immunol
January 2025
Jiangsu Engineering Research Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, China.
Introduction: Brucellosis is a widespread zoonotic disease that poses a considerable challenge to global public health. Existing diagnostic methods for this condition, such as serological assays and bacterial culture, encounter difficulties due to their limited specificity and high operational complexity. Therefore, there is an urgent need for the development of enhanced diagnostic approaches for brucellosis.
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