Screening and evaluation of Mycobacterium tuberculosis diagnostic antigens

Ma, Zhongchen; Ji, Xiang; Yang, Hui; He, Jinke; Zhang, Qian; Wang, Yong; Wang, Zhen; Chen, Chuangfu

doi:10.1007/s10096-020-03951-3

Cited by 6 publications

(2 citation statements)

References 28 publications

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“…The American region reports 2.9% of the cases, while Europe has the lowest burden at 2.5% ( Chakaya et al , 2021 ). Therefore, TB therapy today requires the use of several bactericidal and sterilizing drugs over long periods to eradicate active MTB, while simultaneously inhibiting the development of antibiotic resistance in existing bacteria ( Ma et al , 2020 ; Nathanson et al , 1977 ). Consequently, it is necessary to develop new therapeutic agents, which will be effective against MDR and XDR bacteria without causing adverse effects during long-term use in the long run.…”

Section: Introductionmentioning

confidence: 99%

A soft-computation hybrid method for search of the antibiotic-resistant gene in Mycobacterium tuberculosis for promising drug target identification and antimycobacterial lead discovery

Jaiswal

Kumar

2023

Bioinformatics Advances

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Summary Tuberculosis (TB) control programs were already piloted before the COVID-19 pandemic commenced and the global TB response was amplified by the pandemic. To combat the global TB epidemic, drug repurposing, novel drug discovery, identification and targeting of the antimicrobial resistance (AMR) genes, and addressing social determinants of TB are required. The study aimed to identify AMR genes in Mycobacterium tuberculosis (MTB) and a new anti-mycobacterial drug candidate. In this research, we used a few software to explore some AMR genes as a target protein in MTB and identified some potent antimycobacterial agents. We used Maestro v12.8 software, along with STRING v11.0, KEGG and Pass Server databases to gain a deeper understanding of MTB AMR genes as drug targets. Computer-aided analysis was used to identify mtrA and katG AMR genes as potential drug targets to depict some antimycobacterial drug candidates. Based on docking scores of –4.218 and –6.161, carvacrol was identified as a potent inhibitor against both drug targets. This research offers drug target identification and discovery of antimycobacterial leads, a unique and promising approach to combating the challenge of antibiotic resistance in Mycobacterium, and contributes to the development of a potential futuristic solution.

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Section: Introductionmentioning

confidence: 99%

A soft-computation hybrid method for search of the antibiotic-resistant gene in Mycobacterium tuberculosis for promising drug target identification and antimycobacterial lead discovery

Jaiswal

Kumar

2023

Bioinformatics Advances

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“…Field-effect transistor (FET)-based biosensors are increasingly recognized as a promising type of biosensor for their ability to provide rapid, sensitive, label-free, and highly specific detection of analytes . In 2016, Saengdee et al developed a FET-based immunosensor for the detection of antigen 85 complex B (Ag85B), which is the major MTB-secreted product and has a high potential for binding to anti-TB antibodies. − Through the integration of the silicon nitride layer and glutaraldehyde, the monoclonal antibody against recombinant Ag85B protein was immobilized onto the biosensor for antigen detection, and the LOD was determined as 0.12 μg mL –1 . Recently, Ma et al built a silicon nanowire-based field-effect transistor (SiNW-FET) biosensing platform to detect the MTB .…”

mentioning

confidence: 99%

Diagnostics of Tuberculosis with Single-Walled Carbon Nanotube-Based Field-Effect Transistors

Wang,

Shao,

Liu

et al. 2024

ACS Sens.

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Tuberculosis (TB) is still threatening millions of people's lives, especially in developing countries. One of the major factors contributing to the ongoing epidemic of TB is the lack of a fast, efficient, and inexpensive diagnostic strategy. In this work, we developed a semiconducting single-walled carbon nanotube (SWCNT)-based field-effect transistor (FET) device functionalized with anti-Mycobacterium tuberculosis antigen 85B antibody (Ab85B) to detect the major M. tuberculosis-secreted antigen 85B (Ag85B). Through optimizing the device fabrication process by evaluating the mass of the antibody and the concentration of the gating electrolyte, our Ab85B-SWCNT FET devices achieved the detection of the Ag85B spiked in phosphate-buffered saline (calibration samples) with a limit of detection (LOD) of 0.05 fg/ mL. This SWCNT FET biosensor also showed good sensing performance in biological matrices including artificial sputum and can identify Ag85B in serum after introducing bovine serum albumin (BSA) into the blocking layer. Furthermore, our BSA-blocked Ab85B-SWCNT FET devices can distinguish between TB-positive and -negative clinical samples, promising the application of SWCNT FET devices in point-of-care TB diagnostics. Moreover, the robustness of this SWCNT-based biosensor to the TB diagnosis in blood serum was enhanced by blocking SWCNT devices directly with a glutaraldehyde cross-linked BSA layer, enabling future applications of these SWCNT-based biosensors in clinical testing.

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Evaluation of nonpolar lipid extract antigen-based enzyme-linked immunosorbent assay for the serodiagnosis of tuberculosis

Araújo,

Petrilli,

Oliveira

et al. 2025

Diagnostic Microbiology and Infectious Disease

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Screening and evaluation of Mycobacterium tuberculosis diagnostic antigens

Cited by 6 publications

References 28 publications

A soft-computation hybrid method for search of the antibiotic-resistant gene in Mycobacterium tuberculosis for promising drug target identification and antimycobacterial lead discovery

A soft-computation hybrid method for search of the antibiotic-resistant gene in Mycobacterium tuberculosis for promising drug target identification and antimycobacterial lead discovery

Diagnostics of Tuberculosis with Single-Walled Carbon Nanotube-Based Field-Effect Transistors

Evaluation of nonpolar lipid extract antigen-based enzyme-linked immunosorbent assay for the serodiagnosis of tuberculosis

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