The gut dysbiosis and plasma lipid metabolisms signatures in children with active tuberculosisOriginal paper
Karen Pendergrass is a microbiome researcher specializing in microbiome-targeted interventions (MBTIs). She systematically analyzes scientific literature to identify microbial patterns, develop hypotheses, and validate interventions. As the founder of the Microbiome Signatures Database, she bridges microbiome research with clinical practice. In 2012, based on her own investigative research, she became the first documented case of FMT for Celiac Disease, four years before the first published case study.
Read MoreWhat was studied?
This cross-sectional study examined gut bacterial features and their link to plasma lipid metabolism in children with active tuberculosis. Researchers used 16S ribosomal RNA gene sequencing of stool and mass spectrometry lipidomics of plasma. They compared children with tuberculosis against healthy children and children with other infections. Subgroups were defined by tuberculosis type, disease severity, and Mycobacterium tuberculosis load measured by Xpert MTB/RIF Ultra on stool. Correlations linked microbiota, lipids, and clinical indices.
Who was studied?
The study enrolled 215 children younger than 14 years from Beijing Children's Hospital and West China Second Hospital between January 2020 and June 2021. This included 98 with active tuberculosis, 37 with other infectious diseases, and 80 healthy controls. Median age was about 8.8 years, and 53% were boys. Among tuberculosis cases, 65 had pulmonary disease only and 33 had extrapulmonary involvement. Plasma lipid analysis was done in a randomly selected subset of 39 tuberculosis and 12 disease-control children.
What were the most important findings?
Children with tuberculosis had reduced microbial diversity and richness versus healthy children. At the phylum level, Firmicutes rose from 53.7% to 73.0% and Actinobacteriota from 5.5% to 9.7%, while Bacteroidota fell from 24.6% to 6.6% and Proteobacteria from 13.9% to 9.0%. Proteobacteria increased and diversity shifted with more severe disease and higher bacterial load. In severe cases Proteobacteria rose to 4.9% versus 1.5% in mild disease. Among plasma lipids, 114 differed in tuberculosis, with 89 upregulated. Eight of the ten most abundant genera correlated strongly with plasma lipids. Children with tuberculosis had higher odds of fever (OR 3.02, P=0.005) and poor appetite (OR 2.96, P=0.02).
What are the greatest implications of this study?
The results suggest tuberculosis is accompanied by gut dysbiosis that tracks with disease severity, bacterial load, and plasma lipid changes in children. Integrating microbiome and lipid data may aid diagnosis and host stratification. Proteobacteria increases and short-chain fatty acid producer declines may reflect a gut-lung axis role in infection. The single-timepoint design cannot show whether dysbiosis precedes or follows infection, and treatment effects were not assessed. Prospective cohorts are needed to test causation and predictive value.