Amidst multiple epidemics, a rapid, sensitive, economical, and portable infection diagnosis strategy is crucial for primary medical care, particularly through the analysis of pathogen sources to determine appropriate antibiotic use. C-reactive protein (CRP) and serum amyloid A (SAA) are host-related biomarkers, and their combined detection can effectively distinguish between bacterial and viral infections, which holds great significance for the diagnosis of unknown pathogens. In this work, a portable dual-channel electrochemical biosensor based on a one-step assembly of immunomagnetic beads was proposed for the on-site combined detection of plasma CRP and SAA, which streamlined the operation and shortened the minimum detection time to less than 3 min. The biosensor exhibited excellent linearity in the detection of 3.125-1250 ng/mL CRP and 31.25-1250 ng/mL SAA, with detection limits of 0.91 and 12 ng/mL, respectively, falling within the clinically relevant reference range. Through simulated sample tests, the biosensor effectively distinguished between bacterial infection, viral infection, and healthy plasma samples. The actual sample tests demonstrated a high correlation and comparable medical value to enzyme-linked immunosorbent assay. Overall, this proposed strategy showed potential to aid in infection diagnosis and enable rapid combined detection of multiple biomarkers.
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http://dx.doi.org/10.1021/acs.analchem.4c03442 | DOI Listing |
JMIR Res Protoc
March 2025
Institute for Data Science and Informatics, University of Missouri, Columbia, MO, United States.
Background: Amyotrophic lateral sclerosis (ALS) leads to rapid physiological and functional decline before causing untimely death. Current best-practice approaches to interdisciplinary care are unable to provide adequate monitoring of patients' health. Passive in-home sensor systems enable 24×7 health monitoring.
View Article and Find Full Text PDFAm J Public Health
April 2025
All authors are with the Office of the Chief Medical Examiner, San Francisco, CA. Luke N. Rodda is also with the Department of Laboratory Medicine, University of California, San Francisco.
To identify drug prevalence through the analysis of drug material and paraphernalia (DMP) collected from scenes of fentanyl-involved fatal accidental drug overdoses in San Francisco, California, throughout 2022. We conducted gas chromatography-mass spectrometry testing on 409 items of DMP (e.g.
View Article and Find Full Text PDFAnal Chem
March 2025
Department of Pharmaceutical Analysis, School of Pharmacy, Key Laboratory of Protection, Development and Utilization of Medicinal Resources in Liupanshan Area, Ministry of Education, Ningxia Medical University, Yinchuan 750004, China.
Biological aggregates play a crucial role in the pathogenesis of thrombotic diseases, especially thrombin-induced biological aggregates. Therefore, the efficient discovery of thrombin inhibitors is of great significance for the prevention and treatment of thrombotic diseases. In this study, the aggregation precursor protein fluorescent probe was successfully prepared for monitoring the production of biological aggregates induced by thrombin.
View Article and Find Full Text PDFPLoS One
March 2025
Department of Mechanical and Aerospace Engineering, Interdisciplinary Microsystems Group, Gainesville, Florida, United States of America.
Breast cancer represents a significant therapeutic challenge due to its aggressive nature and resistance to treatment. A major cause of treatment failure in breast cancer is the presence of rare, low-proliferative disseminated tumor cells (DTCs) in distant organs including the bone marrow. This study introduced a microfluidic-based approach to improve the immunodetection and isolation of these rare DTCs for downstream analysis, with an emphasis on optimizing immunocapture, release, and enrichment methods of live DTCs as compared to the standard approach for blood-borne circulating tumor cells (CTCs).
View Article and Find Full Text PDFJMIRx Med
March 2025
Stelmith, LLC, 2333 Aberdeen Pl, Carollton, TX, 75007, United States, 1 9459001314.
Background: The increasing integration of artificial intelligence (AI) systems into critical societal sectors has created an urgent demand for robust privacy-preserving methods. Traditional approaches such as differential privacy and homomorphic encryption often struggle to maintain an effective balance between protecting sensitive information and preserving data utility for AI applications. This challenge has become particularly acute as organizations must comply with evolving AI governance frameworks while maintaining the effectiveness of their AI systems.
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