Max Planck Institute for Infection Biology, Department of Immunology, Berlin, Germany.
Ann N Y Acad Sci. 2013 Apr;1283:22-9. doi: 10.1111/j.1749-6632.2012.06802.x. Epub 2012 Nov 26.
There is great need for better control measures for tuberculosis (TB). High-throughput analyses, such as transcriptomic and metabolic profiling, offer a promising path toward clinically useful biosignatures. With the help of biomarkers, it will be possible not only to reliably perform diagnosis but also to gain a better understanding of the disease process and, in the future, even predict the onset of disease in infected individuals. Biomarkers based on transcriptomic and metabolic profiles as well as on cytokine composition provide important insights into the basic biological principles of TB and give an opportunity to reliably distinguish TB patients from healthy individuals. Use of biomarkers for point-of-care diagnosis, however, is still a distant goal, which to achieve will require extensive analysis of TB biosignatures across different cohorts and a combination of different platforms.
对于结核病(TB),我们需要更好的控制措施。高通量分析,如转录组学和代谢组学分析,为临床有用的生物标志物提供了一条有希望的途径。有了生物标志物,不仅可以可靠地进行诊断,还可以更好地了解疾病过程,并在未来甚至预测感染个体疾病的发作。基于转录组学和代谢组学以及细胞因子组成的生物标志物为 TB 的基本生物学原理提供了重要的见解,并为可靠地区分 TB 患者和健康个体提供了机会。然而,生物标志物在即时诊断中的应用仍然是一个遥远的目标,要实现这一目标,需要对不同队列的 TB 生物标志物进行广泛分析,并结合不同的平台。