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Environmental surveillance and clinical diagnostics heavily rely on the polymerase chain reaction (PCR) for target detection. A growing list of microbial threats warrants new PCR-based detection methods that are highly sensitive, specific, and multiplexable. Here, we introduce a PCR-based icosaplex (20-plex) assay for detecting 18 enteropathogen and two antimicrobial resistance genes. This multiplexed PCR assay leverages the self-avoiding molecular recognition system (SAMRS) to avoid primer dimer formation, the artificially expanded genetic information system (AEGIS) for amplification specificity, and next-generation sequencing for amplicon identification. Using parallelized multitarget TaqMan Array Cards (TAC) to benchmark performance of the 20-plex assay on wastewater, soil, and human stool samples, we found 90% agreement on positive calls and 89% agreement on negative calls. Additionally, we show how long-read and short-read sequencing information from the 20-plex can be used to further classify allelic variants of genes and distinguish subspecies. The strategy presented offers sensitive, affordable, and robust multiplex detection that can be used to support efforts in wastewater-based epidemiology, environmental monitoring, and human/animal diagnostics.
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http://dx.doi.org/10.1021/acssynbio.4c00619 | DOI Listing |
Mikrochim Acta
September 2025
The Third Affiliated Hospital of Anhui Medical University, The First People's Hospital of Hefei, Binhu Hospital of Hefei, Hefei, 230061, P. R. China.
Lung cancer, as one of the cancers with the highest morbidity and mortality rates in the world, requires accurate detection of its vital serum marker, neuron-specific enolase (NSE), which is a key challenge for early detection of lung cancer. However, traditional chemiluminescence immunoassay (CLIA) methods rely on labeled antibodies (Abs) and suffer from complex operations and high costs. In this work, a label-free CLIA based on CL-functionalized mesoporous magnetic nanoparticles (CuFeO@mSiO-Cys-Luminol-Au NPs) is developed for the rapid and sensitive detection of NSE.
View Article and Find Full Text PDFMikrochim Acta
September 2025
School of Chemical Science and Technology, Yunnan University, Kunming, 650500, China.
A CuFeO/NiCo-LDH heterojunction electrochemical sensor (LDH: layered double hydroxide) was developed for the sensitive detection of tetracycline (TC). The sensor was constructed by integrating ZIF-67-derived nanocage NiCo-LDH on nickel foam with CuFeO, forming a p-n heterojunction that enhanced electron transfer and TC adsorption. The sensor exhibited bilinear detection ranges (0.
View Article and Find Full Text PDFAnal Biochem
September 2025
Department of Chemistry and Biotechnology, Graduate School of Engineering, Tottori University, 4-101 Koyama-Cho Minami, Tottori 680-8552, Japan.
The duplex-forming behavior of an inchworm-type PNA-PEG conjugate (i-PPc), engineered for the selective recognition of point mutations in DNA, was assessed through thermodynamic analysis employing UV melting curves and circular dichroism spectroscopy. The i-PPc demonstrated the ability to form stable duplexes exclusively with fully complementary DNA sequences, while no hybridization with single-base mismatched sequences. This binary on/off hybridization behavior was maintained even under physiologically relevant conditions (37 °C), thereby illustrating the exceptional point mutation discrimination capability of i-PPc.
View Article and Find Full Text PDFInt J Biol Macromol
September 2025
College of Materials Science and Engineering, Nanjing Tech University, Nanjing, 210009, China.
Conductive hydrogels have revolutionized wearable electronics due to their biocompatibility and tunable properties. However, it remains a great challenge for hydrogel-based sensors to maintain both conductivity and mechanical integrity in harsh environments. Synergistic dynamic interactions provide a promising strategy to address this issue.
View Article and Find Full Text PDFResuscitation
September 2025
Neurophysiopathology, Careggi University Hospital, Florence, Italy.
Background: Accurate prognostication following cardiac arrest (CA) is crucial for informing clinical decisions. Current guidelines do not recommend a specific time point for recording somatosensory evoked potentials (SSEPs) after CA. We evaluated the ability of ultra-early short- and middle-latency SSEPs to predict good an poor neurological outcome and compared its accuracy with that of other predictors recorded early after CA.
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