Gut microbiota composition can reflect immune responses of latent tuberculosis infection in patients with poorly controlled diabetesOriginal paper
What was studied?
This study asked whether gut microbiome composition can identify latent tuberculosis infection (LTBI) in patients with poorly controlled diabetes and whether it tracks host immune cytokines. Stool and blood were collected at enrollment. Gut bacteria were profiled by 16S rRNA gene sequencing of the V3-V4 region. A random forest classifier was built from the most discriminating genera, and plasma cytokines were measured by ELISA to link taxa to immunity.
Who was studied?
The cohort was 130 patients with poorly controlled type 2 diabetes (HbA1c above 9.0 percent within the prior year), recruited in Kaohsiung, Taiwan. Latent tuberculosis status was set by QuantiFERON-TB Gold: 43 were LTBI-positive and 87 negative. Mean age was 67.1 years and 51 percent were male. Baseline features, including age, sex, BMI and antidiabetic drug use, were similar between the LTBI and non-LTBI groups.
What were the most important findings?
Alpha diversity was similar between groups, but beta diversity differed significantly (unweighted UniFrac p equals 0.007). The LTBI group had a lower Prevotella-to-Bacteroides ratio (0.251 versus 0.724). LTBI patients were enriched in Bacteroides, Alistipes and Blautia and depleted in Prevotella, Streptococcus and Actinomyces. Bacteroides rose from 29.72 to 37.79 percent. A six-genus random forest model predicted LTBI with 0.872 accuracy and 0.834 AUROC. LTBI patients had lower plasma IL-17F (p equals 0.025) and TNF-alpha (p equals 0.038).
What are the greatest implications of this study?
The results suggest gut microbial signatures may reflect immune status and tuberculosis risk in diabetes, offering a possible adjunct to standard interferon-release assays for latent infection. Linking specific genera to lower Th1 and Th17 cytokines points toward microbiome-directed strategies to bolster host defense. This was a cross-sectional study, so it cannot establish causation. It used 16S rather than shotgun sequencing and needs external validation across other populations before clinical use.