Kumar Kartik, Kon Onn Min
National Heart and Lung Institute, Imperial College London, Dovehouse Street, London SW3 6LY, UK.
Department of Respiratory Medicine, St Mary's Hospital, Imperial College Healthcare NHS Trust, Praed Street, London W2 1NY, UK.
Microorganisms. 2021 Oct 26;9(11):2220. doi: 10.3390/microorganisms9112220.
Personalised medicine, in which clinical management is individualised to the genotypic and phenotypic data of patients, offers a promising means by which to enhance outcomes in the management of mycobacterial pulmonary infections. In this review, we provide an overview of how personalised medicine approaches may be utilised to identify patients at risk of developing tuberculosis (TB) or non-tuberculous mycobacterial pulmonary disease (NTM-PD), diagnose these conditions and guide effective treatment strategies. Despite recent technological and therapeutic advances, TB and NTM-PD remain challenging conditions to diagnose and treat. Studies have identified a range of genetic and immune factors that predispose patients to pulmonary mycobacterial infections. Molecular tests such as nucleic acid amplification assays and next generation sequencing provide a rapid means by which to identify mycobacterial isolates and their antibiotic resistance profiles, thus guiding selection of appropriate antimicrobials. Host-directed therapies and therapeutic drug monitoring offer ways of tailoring management to the clinical needs of patients at an individualised level. Biomarkers may hold promise in differentiating between latent and active TB, as well as in predicting mycobacterial disease progression and response to treatment.
个性化医疗是根据患者的基因型和表型数据进行个体化临床管理,为提高分枝杆菌肺部感染的治疗效果提供了一种很有前景的方法。在本综述中,我们概述了如何利用个性化医疗方法来识别有患结核病(TB)或非结核分枝杆菌肺病(NTM-PD)风险的患者,诊断这些疾病并指导有效的治疗策略。尽管最近在技术和治疗方面取得了进展,但TB和NTM-PD的诊断和治疗仍然具有挑战性。研究已经确定了一系列使患者易患肺部分枝杆菌感染的遗传和免疫因素。诸如核酸扩增检测和下一代测序等分子检测提供了一种快速识别分枝杆菌分离株及其抗生素耐药谱的方法,从而指导选择合适的抗菌药物。宿主导向疗法和治疗药物监测提供了在个体化水平上根据患者临床需求调整治疗的方法。生物标志物在区分潜伏性和活动性TB以及预测分枝杆菌疾病进展和治疗反应方面可能具有前景。