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Lipidomics profiling workflow. (a) Plasma lipidomics extraction was accomplished by fractionating samples into pools of species with similar physicochemical properties using appropriate combinations of organic solvents, after the addition of an internal standard. (b) UPLC-MS/MS-based platforms were used to perform optimal profiling of plasma lipidomics. Data preprocessing generated a list of chromatographic peak areas for the lipidomics detected in each sample injection. Inter- and intra-batch normalization was carried out with quality control (QC) calibration and internal standard correction. (c) Once normalized, univariate and multivariate data analyses were performed. (d) Selection of the best candidate biomarkers for the early diagnosis and efficacy evaluation of TB. (e) The results of this experiment provide four ideas for the research and development of potential antituberculotic medications, so as to achieve the purpose of antituberculosis treatment.