Disease prevalence is highest in low-resource settings (LRS) due to the lack of funds, infrastructure, and personnel required to carry out laboratory-based molecular tests. In high-resource settings, gold-standard molecular tests for diseases consist of nucleic acid amplification tests (NAATs) due to their excellent sensitivity and specificity. These tests require the extraction, amplification, and detection of nucleic acids from clinical samples. In high-resource settings, all three of these steps require highly specialized, costly, and onerous equipment that cannot be used in LRS. Nucleic acid extraction involves multiple centrifugation steps. Amplification consists of the polymerase chain reaction (PCR), which requires thermal cyclers. The detection of amplified DNA is typically done with specialized thermal cyclers that are capable of fluorescence detection. Traditional methods used to extract, amplify, and detect nucleic acids cannot be used outside of a laboratory in LRS. Thus, there is a need for affordable point-of-care devices to ease the high burden of disease in LRS.The past decade of work on paper-based fluidic devices has resulted in the invention of many paper-based biosensors for disease detection as well as isothermal amplification techniques that replace PCR. However, a challenge still remains in detecting pathogenic biomarkers from complex human samples without specialized laboratory equipment. Our research has focused on the development of affordable technologies to extract and detect nucleic acids in clinical samples with minimal equipment. Here we describe methods for the paper-based extraction, amplification, and detection of nucleic acids. This Account provides an overview of our latest technologies developed to detect an array of diseases in low-resource settings. We focus on detecting nucleic acids of H1N1, (HPV), (NG), (CT), (TV), and malaria from a variety of clinical sample types. H1N1 RNA was extracted from nasopharyngeal swabs; HPV, NG, and CT DNA were extracted from either cervical, urethral, or vaginal swabs; TV DNA was extracted from urine; and malaria DNA was extracted from whole blood. Different sample types necessitate different nucleic extraction protocols; we provide guidelines for assay design based on the clinical sample type used. We compare the pros and cons of different isothermal amplification techniques, namely, helicase-dependent amplification (HDA), loop-mediated isothermal amplification (LAMP), and a novel isothermal amplification technique that we developed: isothermal-identical multirepeat sequences (iso-IMRS). Finally, we compare various detection mechanisms, including lateral-flow and electrochemical readouts. Electrochemical readouts frequently employ gold electrodes due to strong gold-thiol coupling. However, the high cost of gold precludes their use in LRS. We discuss our development of novel gold leaf electrodes that can be made without specialized equipment for a fraction of the cost of commercially available gold electrodes.
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http://dx.doi.org/10.1021/acs.accounts.1c00434 | DOI Listing |
Sci Rep
December 2024
Department of Microbiology, Faculty of Sciences, CEI·MAR-International Campus of Excellence in Marine Science, University of Malaga, Málaga, Spain.
The inclusion of microalgae in functional fish diets has a notable impact on the welfare, metabolism and physiology of the organism. The microbial communities associated with the fish are directly influenced by the host's diet, and further understanding the impact on mucosal microbiota is needed. This study aimed to analyze the microbiota associated with the skin and gills of Sparus aurata fed a diet containing 10% microalgae.
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December 2024
Department of Drug Prohibition and Public Security, Criminal Investigation Police University of China, Shenyang, 110035, China.
Methamphetamine use disorder has emerged as a significant public health concern globally. This study endeavors to elucidate the alterations in expression changes of miRNAs in the plasma of methamphetamine use disorder and elucidate the alterations in miRNA expression in the plasma of individuals with methamphetamine use disorder and investigate the relationship between these differentially expressed miRNAs and the disorder itself, cravings for methamphetamine, and associated mental disorders. Furthermore, the study seeks to clarify the expression of downstream target molecules of specific miRNAs in the plasma of methamphetamine use disorder, assess the diagnostic utility of these miRNAs and their target molecules, explore their potential as biomarkers, and identify potential targets for the diagnosis and treatment of methamphetamine use disorder.
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December 2024
Department of Pharmacology, Jiangsu Provincial Key Laboratory of Critical Care Medicine, School of Medicine, Southeast University, Nanjing, China.
While circular RNAs (circRNAs) exhibit lower abundance compared to corresponding linear RNAs, they demonstrate potent biological functions. Nevertheless, challenges arise from the low concentration and distinctive structural features of circRNAs, rendering existing methods operationally intricate and less sensitive. Here, we engineer an intelligent tetrahedral DNA framework (TDF) possessing precise spatial pattern-recognition properties with exceptional sensing speed and sensitivity for circRNAs.
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December 2024
Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, 2-2-E2, Yamada-Oka, Suita, Osaka, 565-0871, Japan.
Esophageal cancer is a highly aggressive disease, and acquired resistance to chemotherapy remains a significant hurdle in its treatment. mtDNA, crucial for cellular energy production, is prone to mutations at a higher rate than nuclear DNA. These mutations can accumulate and disrupt cellular function; however, mtDNA mutations induced by chemotherapy in esophageal cancer remain unexplored.
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December 2024
School of Data Science, The Chinese University of Hong Kong-Shenzhen, Shenzhen, China.
Recently, RNA velocity has driven a paradigmatic change in single-cell RNA sequencing (scRNA-seq) studies, allowing the reconstruction and prediction of directed trajectories in cell differentiation and state transitions. Most existing methods of dynamic modeling use ordinary differential equations (ODE) for individual genes without applying multivariate approaches. However, this modeling strategy inadequately captures the intrinsically stochastic nature of transcriptional dynamics governed by a cell-specific latent time across multiple genes, potentially leading to erroneous results.
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