MTB-DR-RIF 9G test: Detection and discrimination of tuberculosis and multi-drug resistant tuberculosis strains

Song, Keum Soo; Nimse, Satish Balasaheb; Cho, Nam Hoon; Sung, Nackmoon; Kim, Hee Jin; Yang, Jeongseong; Kim, Taisun

doi:10.1016/j.tube.2015.08.008

Cited by 3 publications

(2 citation statements)

References 34 publications

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“…The Xpert MTB/RIF test can detect the mutant codon but fails to identify the particular mutation in that codon. Recently reported MDR-TB-RIF 9G test [ 38 ] can also detect the mutant codon but does not give any information on the particular mutation in that codon. However, the 9G DNAChip not only detects the MDR-TB-RIF strains but also identifies the particular mutation the mutant codon.…”

Section: Discussionmentioning

confidence: 99%

Accurate Detection of Rifampicin-Resistant Mycobacterium Tuberculosis Strains

Song¹,

Nimse

Kim³

et al. 2016

Sensors

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In 2013 alone, the death rate among the 9.0 million people infected with Mycobacterium tuberculosis (TB) worldwide was around 14%, which is unacceptably high. An empiric treatment of patients infected with TB or drug-resistant Mycobacterium tuberculosis (MDR-TB) strain can also result in the spread of MDR-TB. The diagnostic tools which are rapid, reliable, and have simple experimental protocols can significantly help in decreasing the prevalence rate of MDR-TB strain. We report the evaluation of the 9G technology based 9G DNAChips that allow accurate detection and discrimination of TB and MDR-TB-RIF. One hundred and thirteen known cultured samples were used to evaluate the ability of 9G DNAChip in the detection and discrimination of TB and MDR-TB-RIF strains. Hybridization of immobilized probes with the PCR products of TB and MDR-TB-RIF strains allow their detection and discrimination. The accuracy of 9G DNAChip was determined by comparing its results with sequencing analysis and drug susceptibility testing. Sequencing analysis showed 100% agreement with the results of 9G DNAChip. The 9G DNAChip showed very high sensitivity (95.4%) and specificity (100%).

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Section: Discussionmentioning

confidence: 99%

Accurate Detection of Rifampicin-Resistant Mycobacterium Tuberculosis Strains

Song¹,

Nimse

Kim³

et al. 2016

Sensors

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“…The LFSMs used to detect PIC and Tp53 were prepared according to the previously reported method [ 27 , 28 , 29 , 30 ]. In brief, 18 pmol/μL solutions containing probe DNAs corresponding to the test line and hybridization control (HC) line were lined on the 9G membranes and allowed to immobilize.…”

Section: Methodsmentioning

confidence: 99%

Detection and Quantification of Tp53 and p53-Anti-p53 Autoantibody Immune Complex: Promising Biomarkers in Early Stage Lung Cancer Diagnosis

Song¹,

Nimse

Warkad³

et al. 2022

Biosensors

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Lung cancer is a leading cause of death worldwide, claiming nearly 1.80 million lives in 2020. Screening with low-dose computed tomography (LDCT) reduces lung cancer mortality by about 20% compared to standard chest x-rays among current or heavy smokers. However, several reports indicate that LDCT has a high false-positive rate. In this regard, methods based on biomarker detection offer excellent potential for developing noninvasive cancer diagnostic tests to complement LDCT for detecting stage 0∼IV lung cancers. Herein, we have developed a method for detecting and quantifying a p53-anti-p53 autoantibody complex and the total p53 antigen (wild and mutant). The LOD for detecting Tp53 and PIC were 7.41 pg/mL and 5.74 pg/mL, respectively. The detection ranges for both biomarkers were 0–7500 pg/mL. The known interfering agents in immunoassays such as biotin, bilirubin, intra-lipid, and hemoglobin did not detect Tp53 and PIC, even at levels that were several folds higher levels than their normal levels. Furthermore, the present study provides a unique report on this preliminary investigation using the PIC/Tp53 ratio to detect stage I–IV lung cancers. The presented method detects lung cancers with 81.6% sensitivity and 93.3% specificity. These results indicate that the presented method has high applicability for the identification of lung cancer patients from the healthy population.

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Electrochemical Detection of 6-Thioguanine and DNA Hybridization with Oligonucleotide Biosensors by Differential Pulse Voltammetry (DPV)

Maâtouk

Barhoumi

et al. 2021

Analytical Letters

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MTB-DR-RIF 9G test: Detection and discrimination of tuberculosis and multi-drug resistant tuberculosis strains

Cited by 3 publications

References 34 publications

Accurate Detection of Rifampicin-Resistant Mycobacterium Tuberculosis Strains

Accurate Detection of Rifampicin-Resistant Mycobacterium Tuberculosis Strains

Detection and Quantification of Tp53 and p53-Anti-p53 Autoantibody Immune Complex: Promising Biomarkers in Early Stage Lung Cancer Diagnosis

Electrochemical Detection of 6-Thioguanine and DNA Hybridization with Oligonucleotide Biosensors by Differential Pulse Voltammetry (DPV)

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