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Malaria control and elimination require prompt diagnosis and accurate treatment. Conventional methods such as rapid diagnostic tests (RDTs) and microscopy lack the characteristics to detect low parasitemias, commonly found in asymptomatic parasitemias and/or submicroscopic malaria carriers. On the contrary, molecular methods have higher sensitivity and specificity. This study evaluated the performance of two commercial real-time polymerase chain reaction (PCR) assays, RealStar® Malaria PCR (RealStar-genus) and RealStar Malaria Screen&Type PCR (RealStar-species), compared with the reference Nested Multiplex Malaria PCR, for the detection of the main five Plasmodium species affecting humans. A total of 121 samples were evaluated. Values of sensitivity (98.9% and 97.8%) and specificity (100% and 96.7%) of the RealStar-genus and the RealStar-species assays, respectively, were very good. The limit of detection (LoD) for the RealStar-genus assay showed a mean value of 0.28 parasites/µL with Plasmodium falciparum samples; while, the LoD of the RealStar-species assay ranged from 0.09 parasites/µL for P. vivax to two parasites/µL for P. ovale. The time to complete a diagnosis was established in 4 hours. Our findings showed a very good concordance of both assays compared with the reference method, with a very good analytical sensitivity. RealStar-species assay was able to correctly characterize double and triple infections. Therefore, these RealStar assays have shown to be useful tools in malaria diagnosis in non-endemic countries and even endemic countries, and for malaria control in general, detecting low parasitemias with sensitivity similar to the most sensitive methods as nested PCR, but with lower time to get the results.
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http://dx.doi.org/10.4269/ajtmh.21-0406 | DOI Listing |
Background: To improve the molecular diagnostic yield for Aspergillus spp. from respiratory samples, we developed and evaluated a new DNA extraction method directly from respiratory samples combined with in-house Aspergillus real-time PCR.
Methods: We developed a method using beads and resin, where a sample is centrifuged to separate the supernatant and pellet.
Front Plant Sci
September 2025
College of Big Data, Yunnan Agricultural University, Kunming, China.
Introduction: Accurate identification of cherry maturity and precise detection of harvestable cherry contours are essential for the development of cherry-picking robots. However, occlusion, lighting variation, and blurriness in natural orchard environments present significant challenges for real-time semantic segmentation.
Methods: To address these issues, we propose a machine vision approach based on the PIDNet real-time semantic segmentation framework.
Prog Mol Biol Transl Sci
September 2025
School of Applied Sciences and Technology, Gujarat Technological University, Gujarat, India. Electronic address:
This chapter examines advancements and future trajectories in wearable biosensing technologies, a multidisciplinary field encompassing healthcare, materials science, and information technology. Wearable biosensors are revolutionizing real-time physiological and biochemical monitoring with applications in personalized health monitoring, disease diagnosis, fitness, and therapeutic interventions. In addition to Internet of Things (IoT) and wireless connectivity technologies such as Bluetooth Low Energy (BLE) and 5G, which facilitate transparent remote monitoring and data exchange, other notable innovations such as machine learning and artificial intelligence enhance real-time processing of data, predictive analytics, and personalized healthcare solutions.
View Article and Find Full Text PDFFront Mol Biosci
August 2025
Department of Neurosurgery, Jiangnan University Medical Center, Wuxi, Jiangsu, China.
Introduction: Sulforaphane (SFN) is recognized for its anti-inflammatory properties; however, the underlying molecular mechanisms remain unclear. In this study, we explored the effect of SFN on subarachnoid hemorrhage (SAH) and the potential mechanisms.
Methods: Sprague-Dawley (SD) rats were divided into three groups (n = 12): Sham + vehicle group (Sham + V), SAH + vehicle group (SAH + V), and SAH + SFN group (SAH + S).
Front Microbiol
August 2025
Department of Allergy, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Introduction: Hepatic sinusoidal obstruction syndrome (HSOS) is a vascular liver disease with a high mortality rate, and treatment methods are limited. Rivaroxaban is an oral anticoagulant. This study aimed to investigate the pharmacological effect and potential mechanism of rivaroxaban on HSOS.
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