Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz, Brazil; Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Brazil.
Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz, Brazil.
Tuberculosis (Edinb). 2021 Jan;126:102043. doi: 10.1016/j.tube.2020.102043. Epub 2020 Dec 24.
Although treatable with antibiotics, tuberculosis is a leading cause of death. Mycobacterium tuberculosis antibiotic resistance is becoming increasingly common and disease control is challenging. Conventional drug susceptibility testing takes weeks to produce results, and treatment is often initiated empirically. Therefore, new methods to determine drug susceptibility profiles are urgent. Here, we used mass-spectrometry-based metabolomics to characterize the metabolic landscape of drug-susceptible (DS), multidrug-resistant (MDR) and extensively drug-resistant (XDR) M. tuberculosis. Direct infusion mass spectrometry data showed that DS, MDR, and XDR strains have distinct metabolic profiles, which can be used to predict drug susceptibility and resistance. This was later confirmed by Ultra-High-Performance Liquid Chromatography and High-Resolution Mass Spectrometry, where we found that levels of ions presumptively identified as isoleucine, proline, hercynine, betaine, and pantothenic acid varied significantly between strains with different drug susceptibility profiles. We then confirmed the identification of proline and isoleucine and determined their absolute concentrations in bacterial extracts, and found significantly higher levels of these amino acids in DS strains, as compared to drug-resistant strains (combined MDR and XDR strains). Our results advance the current understanding of the effect of drug resistance on bacterial metabolism and open avenues for the detection of drug resistance biomarkers.
尽管结核病可以用抗生素治疗,但它仍是主要死因之一。结核分枝杆菌对抗生素的耐药性日益普遍,疾病控制极具挑战性。传统的药敏试验需要数周才能得出结果,且治疗通常是经验性的。因此,急需新的方法来确定药物敏感性谱。在这里,我们使用基于质谱的代谢组学来描述敏感(DS)、多药耐药(MDR)和广泛耐药(XDR)结核分枝杆菌的代谢特征。直接进样质谱数据表明,DS、MDR 和 XDR 菌株具有不同的代谢特征,可用于预测药物敏感性和耐药性。这后来通过超高效液相色谱和高分辨率质谱得到了证实,我们发现,假定鉴定为异亮氨酸、脯氨酸、海因氨酸、甜菜碱和泛酸的离子水平在不同药物敏感性谱菌株之间差异显著。然后,我们确认了脯氨酸和异亮氨酸的鉴定,并确定了它们在细菌提取物中的绝对浓度,结果发现与耐药菌株(MDR 和 XDR 混合菌株)相比,DS 菌株中这些氨基酸的水平显著更高。我们的结果推进了目前对抗生素耐药性对细菌代谢影响的理解,并为检测耐药性生物标志物开辟了途径。