Reliability of Matrix‐Assisted Laser Desorption‐Ionisation Time‐of‐Flight Mass Spectrometry as a Method for Drug‐Resistant Tuberculosis Gene Identification DOI

Kaishun Zhao,

Wei Wei,

Lijia Yang

et al.

Clinical and Experimental Pharmacology and Physiology, Journal Year: 2025, Volume and Issue: 52(6)

Published: April 24, 2025

ABSTRACT Instances of drug‐resistant tuberculosis (TB), particularly multidrug‐ and extensive TB, are escalating worldwide; therefore, there is an urgent need to explore suitable treatment strategies. This study assessed the precision matrix‐assisted laser desorption‐ionisation time‐of‐flight mass spectrometry (MALDI‐TOF MS) in detecting TB. We developed a multiplex MALDI‐TOF MS detection assay that concurrently identifies 51 gene mutations for six commonly used medications: rifampicin (RFP), isoniazid (INH), levofloxacin (LVX), moxifloxacin (MOX), capreomycin (CPM) amikacin (AMK). Subsequently, we evaluated accuracy system by testing clinical sputum samples with known ( n = 45) unknown 254) minimum inhibitory concentrations (MICs), using Sanger‐sequenced genes as references. The exhibited sensitivity 88.00% specificity 95.24% 45 isolates. Similarly, 254 samples, demonstrated associated each medication follows: RFP—sensitivity: 98.97%, specificity: 99.36%; INH—sensitivity: 97.80%, 100.00%; LVX MOX—sensitivity: 97.14%, AMK CPM—sensitivity: 100.00%, 100.00%. also displayed favourable values MIC validation 92.39%, 92.59%; 75.21%, 99.27%; LVX—sensitivity: 75.28%, 99.39%; 73.24%, 91.26%; AMK—sensitivity: 94.87%, 96.74%; 89.47%, 95.83%. Meanwhile, our allows identification Mycobacterium complex (MTBC). remarkable making it potential alternative approach TB diagnosis.

Language: Английский

Metabolic Influence of S. boulardii and S. cerevisiae in Cross-Kingdom Models of S. mutans and C. albicans DOI Creative Commons

Ting Li,

Xingyi Lu, Yan Wu

et al.

Journal of Fungi, Journal Year: 2025, Volume and Issue: 11(4), P. 325 - 325

Published: April 19, 2025

Recent studies highlight the potential of Saccharomyces species as probiotics due to their ability modulate microbial interactions and reduce cariogenic activity, yet underlying metabolic mechanisms remain unclear. This study investigates cross-kingdom effects boulardii cerevisiae on processes Streptococcus mutans Candida albicans using a metabolomics-based approach. Untargeted LC-MS/MS analysis was conducted assess metabolites in planktonic model, followed by metabolomic profiling pathway identify key alterations. The results revealed that S. demonstrated regulatory C. albicans. Specifically, down-regulated 262 up-regulated 168, while 265 168. Both yeast carbohydrate amino acid metabolism albicans, resulting reduced biomolecule synthesis less acidic environment. also certain processes, including purine metabolism, suggesting compensatory mechanism for nucleotide synthesis. Notably, dual were observed, where specific simultaneously down-regulated, indicating complex crosstalk. These findings suggest both through shared mechanism, offering potentials dental caries prevention.

Language: Английский

Citations

0
Reliability of Matrix‐Assisted Laser Desorption‐Ionisation Time‐of‐Flight Mass Spectrometry as a Method for Drug‐Resistant Tuberculosis Gene Identification DOI

Kaishun Zhao,

Wei Wei,

Lijia Yang

et al.

Clinical and Experimental Pharmacology and Physiology, Journal Year: 2025, Volume and Issue: 52(6)

Published: April 24, 2025

ABSTRACT Instances of drug‐resistant tuberculosis (TB), particularly multidrug‐ and extensive TB, are escalating worldwide; therefore, there is an urgent need to explore suitable treatment strategies. This study assessed the precision matrix‐assisted laser desorption‐ionisation time‐of‐flight mass spectrometry (MALDI‐TOF MS) in detecting TB. We developed a multiplex MALDI‐TOF MS detection assay that concurrently identifies 51 gene mutations for six commonly used medications: rifampicin (RFP), isoniazid (INH), levofloxacin (LVX), moxifloxacin (MOX), capreomycin (CPM) amikacin (AMK). Subsequently, we evaluated accuracy system by testing clinical sputum samples with known ( n = 45) unknown 254) minimum inhibitory concentrations (MICs), using Sanger‐sequenced genes as references. The exhibited sensitivity 88.00% specificity 95.24% 45 isolates. Similarly, 254 samples, demonstrated associated each medication follows: RFP—sensitivity: 98.97%, specificity: 99.36%; INH—sensitivity: 97.80%, 100.00%; LVX MOX—sensitivity: 97.14%, AMK CPM—sensitivity: 100.00%, 100.00%. also displayed favourable values MIC validation 92.39%, 92.59%; 75.21%, 99.27%; LVX—sensitivity: 75.28%, 99.39%; 73.24%, 91.26%; AMK—sensitivity: 94.87%, 96.74%; 89.47%, 95.83%. Meanwhile, our allows identification Mycobacterium complex (MTBC). remarkable making it potential alternative approach TB diagnosis.

Language: Английский

Citations

0