Back

Lung Mycobacterium tuberculosis infection perturbs metabolic pathways in non-pulmonary tissues

Pahwa, F.; Chaudhary, S.; Dayal, A.; Nanda, R.

2024-02-09 biochemistry
10.1101/2024.02.09.579656 bioRxiv
Show abstract

Mycobacterium tuberculosis (Mtb), through aerosol, reaches the lungs to cause pulmonary tuberculosis (TB); however, it may also affect the metabolism of other tissues in age-specific ways. In this study, female C57BL/6 mice (2 and 5 months old; M) were infected with a low aerosol dose (100-200 cfu) of Mtb H37Rv to monitor tissue mycobacterial load and multi-tissue metabolite profiling using gas chromatography and mass spectrometry (GC-MS). 5M C57BL/6 mice showed separate tissue metabolic phenotype with significantly higher lung aspartic acid, fecal oxalic acid and tryptophan levels with lower liver lysine and aspartic acid and fecal phenylalanine levels (log2FC: 5M/2M> {+/-}1.0, p<0.1) compared to 2M young controls. Upon Mtb infection, the lung mycobacterial load of 2M and 5M mice were similar till 6 weeks post-infection. However, significantly higher lung phosphoric acid, malonic acid and lower mannose levels (log2FC: Mtb infected/healthy> {+/-}1.0, p<0.1) were observed in Mtb-infected 5M C57BL/6 mice. Meanwhile, Mtb-infected 2M mice showed higher liver xylose and lower lysine levels. The thigh muscles of Mtb-infected 2M and 5M mice showed increased malic acid and oxalic acid and decreased glycine, serine, and glycerol levels. Fecal aspartic acid level was higher in Mtb-infected 5M mice, while a decreased abundance of fecal lysine was observed in Mtb-infected 2M mice. Overall, this study demonstrates a deregulated tissue-specific amino acid metabolism in Mtb-infected mice groups of different age groups, which might be targeted for managing TB infection-related adverse effects.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.