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To facilitate rapid, efficient, and accurate detection of miR-96-5p associated with gastric cancer (GC), we developed a bioanalytical platform by integrating surface-enhanced Raman spectroscopy with lateral flow assay (SERS-LFA). With these SERS-LFA strips, miR-96-5p within the specimen competed with Au rhombic dodecahedron (AuRD) conjugated single-stranded DNA (ssDNA) to bond to the immobilized hairpin DNA (hpDNA) probe on the T line. Consequently, higher abundance of miR-96-5p led to reduced conjugation of AuRD on the T line, thereby resulting in diminished SERS intensity. The biosensor exhibited a detection time of approximately 30 min and demonstrated a low limit of detection (LOD) for miR-96-5p in PBS buffer solution, down to 3.7 fM. To validate its clinical utility for the early diagnosis of patients with different degrees of gastric lesions, we performed quantitative evaluations in cohorts that included healthy individuals, patients with mild intraepithelial neoplasia, patients with severe intraepithelial neoplasia, as well as patients diagnosed with GC. The results obtained from the SERS-LFA strips were in agreement with those obtained from the quantitative real-time polymerase chain reaction (qRT-PCR). Given the accomplishments, this biosensor has significant potential for the clinical diagnosis of GC, offering a promising avenue for timely detection and improved patient prognoses.
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http://dx.doi.org/10.1039/d4ra03880k | DOI Listing |
J Mass Spectrom
October 2025
Graduate Program in Health Sciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre, Rio Grande do Sul, Brazil.
The laboratory analysis of new psychoactive substances and related drugs is crucial for accurate clinical and forensic diagnosis of poisonings. Given this, a new LC-MS/MS method for analyzing hallucinogens, synthetic cathinones, and synthetic cannabinoids in urine was developed. Urine samples were extracted using a liquid-liquid extraction protocol optimized via a multivariate experimental design.
View Article and Find Full Text PDFAnal Bioanal Chem
September 2025
School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou, 310018, China.
The prompt and accurate identification of pathogenic bacteria is crucial for mitigating the transmission of infections. Conventional detection methods face limitations, including lengthy processing, complex sample pretreatment, high instrumentation costs, and insufficient sensitivity for rapid on-site screening. To address these challenges, an aptamer (Apt)-sensor based on functionalized magnetic nanoparticles (MNPs) was developed for detecting Escherichia coli.
View Article and Find Full Text PDFJ Pediatr Surg
September 2025
Harvard Medical School, Boston, MA, United States; Medically Engineered Solutions in Healthcare Incubator, Innovation in Operations Research Center, Mass General Brigham, Boston, MA, United States. Electronic address:
Introduction: Large language models (LLMs) have been shown to translate information from highly specific domains into lay-digestible terms. Pediatric surgery remains an area in which it is difficult to communicate clinical information in an age-appropriate manner, given the vast diversity in language comprehension levels across patient populations and the complexity of procedures performed. This study evaluates LLMs as tools for generating explanations of common pediatric surgeries to increase efficiency and quality of communication.
View Article and Find Full Text PDFRadiother Oncol
September 2025
Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China; School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China. Electronic address:
Background And Purpose: Determining the appropriate sample size for developing robust radiomics-based binary outcome prediction models and identifying the maximum number of predictors safely allowable within a fixed dataset size remain critical yet challenging tasks. This study aims to propose and demonstrate a structured method for addressing these issues, enhancing methodological rigor and practicality in radiomics research.
Materials And Methods: We introduce a comprehensive sample size calculation framework for binary outcome prediction models in radiomic studies.
Int J Antimicrob Agents
September 2025
Dalle Molle Institute for Artificial Intelligence IDSIA. USI/SUPSI, Via la Santa 1, CH-6962 Lugano-Viganello, Switzerland. Electronic address:
Cell-penetrating peptides (CPPs) are powerful vectors for the intracellular delivery of a diverse array of therapeutic molecules. Despite their potential, the rational design of CPPs remains a challenging task that often requires extensive experimental efforts and iterations. In this study, we introduce an innovative approach for the de novo design of CPPs, leveraging the strengths of machine learning (ML) and optimization algorithms.
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