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Tuberculosis (TB) is an infectious disease that poses a serious threat to human health. About a quarter of the world's population were infected with Mycobacterium tuberculosis in 2020, and the majority of them were latently infected. Approximately 5%-10% of the population with latent tuberculosis infection may progress to active TB disease. Identifying latent TB infection from active TB by biomarkers and screening people with latent TB infection at high risk of progression for preventive treatment by biomarkers that can reliably predict the progression is one of the most effective strategies to control TB. This article reviews the progress of research on transcriptional and immunological biomarkers for identifying TB infection and predicting the progression from latent infection to active TB, with the aim of providing new ideas for tuberculosis control.