The aim of this study was to understand how tuberculosis (TB) control institutes raise awareness of TB among domestic migrants in China, specifically whether migrants have received TB information and how they received it. Methods: This multi-level analysis included both county-level data and individual-level data covering 31 provinces in mainland China. Multi-level logistic models were used to explore the factors associated with receiving TB information. Results: This analysis included 205 990 migrants from 31 provinces and municipalities. Only 77 460 (37.60%) migrants reportedly received any TB information in mainland China. The center for disease control and prevention (CDC), the center for tuberculosis control (CTC), and the center for prevention and treatment of chronic diseases (CPTCD) were the most likely to provide TB information for migrants in comparison to other types of TB control institutes, such as general hospitals, specialized hospitals, and community healthcare centers. The odds ratios were calculated as: 1.563 (95% confidence interval (CI) 1.246-1.959) for CDCs, 1.385 (95% CI 1.063-1.804) for CTCs, and 1.723 (95% CI 1.424-2.085) for CPTCDs. Conclusions: China has not achieved universal coverage of TB awareness. TB awareness levels are higher in regions with CDC, CTC, and CPTCD institutes. Domestic migrants who have moved to western areas are more likely to have received TB information.

Drug-resistant Mycobacterium tuberculosis (M. tuberculosis) has become an increasingly serious public health problem and has complicated tuberculosis (TB) treatment. Levofloxacin (LOF) is an ideal anti-tuberculosis drug in clinical applications. However, the detailed molecular mechanisms of LOF-resistant M. tuberculosis in TB treatment have not been revealed. Our study performed transcriptome and methylome sequencing to investigate the potential biological characteristics of LOF resistance in M. tuberculosis H37Rv. In the transcriptome analysis, 953 differentially expressed genes (DEGs) were identified; 514 and 439 DEGs were significantly downregulated and upregulated in the LOF-resistant group and control group, respectively. The KEGG pathway analysis revealed that 97 pathways were enriched in this study. In the methylome analysis, 239 differentially methylated genes (DMGs) were identified; 150 and 89 DMGs were hypomethylated and hypermethylated in the LOF-resistant group and control group, respectively. The KEGG pathway analysis revealed that 74 pathways were enriched in this study. The overlap study suggested that 25 genes were obtained. It was notable that nine genes expressed downregulated mRNA and upregulated methylated levels, including pgi, fadE4, php, cyp132, pckA, rpmB1, pfkB, acg, and ctpF, especially cyp132, pckA, and pfkB, which were vital in LOF-resistant M. tuberculosis H37Rv. The overlapping genes between transcriptome and methylome could be essential for studying the molecular mechanisms of LOF-resistant M. tuberculosis H37Rv. These results may provide informative evidence for TB treatment with LOF.

Purpose To investigated the changes of gut microbiome and fecal metabolome during anti-tuberculosis chemotherapy with isoniazid (H)-rifampin (R)-pyrazinamide (Z)-ethambutol (E). Patients and methods (1) In this study, we recruited 168 stool specimens from 49 healthy volunteers without M. tuberculosis (Mtb), 30 healthy volunteers with latently infected by Mtb, 41 patients with active tuberculosis (ATB), 28 patients with 2-month HRZE treatment and 20 patients with 2-month HRZE followed by 4-month HR treatment. (2) We used 16S rRNA sequencing and an untargeted Liquid Chromatograph Mass Spectrometer-based metabolomics to investigate the changes of gut microbiome and the alteration of fecal metabolome, respectively, during anti-TB chemotherapy. Results Mtb infection can reduce the diversity of intestinal flora of ATB patients and change their taxonomic composition, while the diversity of intestinal flora of ATB patients were restored during anti-TB chemotherapy. Especially, family Veillonellacea and Bateroidaceae and their genera Veillonella and Bacteroides significantly increased in the gut microbiota during anti-TB chemotherapy. Additionally, Mtb infection dynamically regulates fecal metabolism in ATB patients during anti-TB chemotherapy. Interestingly, the altered abundance of fecal metabolites correlated with the altered gut microbiota, especially the change of gut Clostridium, Bacteroides and Prevotella was closely related to the change of fecal metabolites such as Trans-4-Hydroxy-L-proline and Genistein caused by Mtb infection or anti-TB chemotherapy. Conclusion Anti-TB chemotherapy with HRZE can disrupt both gut microbiotas and metabolome in ATB patients. Some specific genera and metabolites are depleted or enriched during anti-TB chemotherapy. Therefore, revealing potential relevance between gut microbiota and anti-TB chemotherapy will provide potential biomarkers for evaluating the therapeutic efficacy in ATB patients.