98%
921
2 minutes
20
Seasonal and persistent outbreaks of influenza viruses represent a significant challenge to global public health. Rapid, convenient and accurate diagnosis methods of influenza viruses are crucial for timely treatment to mitigate morbidity and mortality during both seasonal epidemics and pandemics. However, current diagnostic tools often face limitations in speed, accuracy or complexity of result interpretation; there is a great need for more efficient detection technology for influenza virus, especially for use in resource-limited settings or during large-scale outbreaks. This study developed a dual 'RT-LAMP-LFA' detection technology with gold magnetic nanoparticles for influenza virus. This method can simultaneously detect influenza A and B genes as well as internal reference genes within 35 min, with a detection limit of 80 copies/mL. This is the first time the RNase P gene has been introduced into a gold magnetic nanoparticle lateral flow assay system as a quality control measure to monitor the entire sampling and amplification process in virus detection and reveals the effects of loop primer deficiencies on the stability of the dual 'RT-LAMP-LFA' detection technology. Using fluorescent PCR detection technology as a benchmark, the analysis of a total of 70 clinical samples demonstrated a 100% agreement rate, confirming the applicability and accuracy of the dual 'RT-LAMP-LFA' detection system. This dual 'RT-LAMP-LFA' detection technology offers a novel option for diagnostic technology in hierarchical medical testing, presenting significant social importance and broad application prospects.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12184558 | PMC |
http://dx.doi.org/10.1111/1751-7915.70169 | DOI Listing |
ACS Sens
September 2025
METU MEMS Center, Ankara 06530, Türkiye.
Cardiovascular diseases (CVDs) remain a leading cause of death, particularly in developing countries, where their incidence continues to rise. Traditional CVD diagnostic methods are often time-consuming and inconvenient, necessitating more efficient alternatives. Rapid and accurate measurement of cardiac biomarkers released into body fluids is critical for early detection, timely intervention, and improved patient outcomes.
View Article and Find Full Text PDFJAMA Dermatol
September 2025
Department of Population Health, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia.
Importance: Increasingly, strategies to systematically detect melanomas invoke targeted approaches, whereby those at highest risk are prioritized for skin screening. Many tools exist to predict future melanoma risk, but most have limited accuracy and are potentially biased.
Objectives: To develop an improved melanoma risk prediction tool for invasive melanoma.
Mol Biol Rep
September 2025
Department of Medical Lab Technology, College of health and medical technology, Sulaimani Polytechnic University, Sulaimani, 46001, Kurdistan Region, Iraq.
Background: Sinusitis is a common respiratory infection increasingly associated with antibiotic-resistant Staphylococcus aureus, posing significant treatment challenges. The emergence of methicillin-resistant S. aureus (MRSA) in sinus infections necessitates comprehensive profiling of resistance patterns to guide effective therapy.
View Article and Find Full Text PDFGenes Genomics
September 2025
Department of Clinical Laboratory, The First Affiliated Hospital of Guilin Medical University, Le Qun Road 15, Guilin, 541001, Guangxi, China.
Background: Lung cancer (LC) is the leading cause of cancer-related deaths globally. Genetic variants in mismatch repair (MMR) genes, such as MutS homolog 2 (MSH2), MutS homolog 6 (MSH6) and MutL homolog 1 (MLH1), may influence individual susceptibility and clinical outcomes in LC.
Objective: This study investigated the associations of genetic polymorphisms in MSH2, MSH6, and MLH1 with susceptibility and survival outcomes in lung cancer patients in the Guangxi Zhuang population.
Ann Surg Oncol
September 2025
Cancer Center, Renmin Hospital of Wuhan University, Wuhan, China.
Background: The optimal number of examined lymph nodes (ELN) for accurate staging and prognosis for esophageal cancer patients receiving neoadjuvant therapy remains controversial. This study aimed to evaluate the impact of ELN count on pathologic staging and survival outcomes and to develop a predictive model for lymph node positivity in this patient population.
Methods: Data were extracted from the Surveillance, Epidemiology, and End Results (SEER) database and a multicenter cohort.