Differentially abundant metabolites influenced by both disease severity and treatment time.

<p>A volcano plot of the differentially abundant metabolites influenced by the interaction between treatment time and disease severity. The blue dots represent metabolites with decreased abundance as compared to the control while the red dots represent increased abundance as compared to the co...

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Bibliographic Details
Main Author:	Catherine H Kagemann (22439364) (author)
Other Authors:	Senbagavalli Prakash Babu (11349073) (author), Komala Ezhumalai (22439367) (author), Arnab Chakraborty (616133) (author), Kalaivani Raghupathy (22439370) (author), Siddhesh S Kamat (20986901) (author), Vijay Viswanathan (314324) (author), Samantha L Huey (22439373) (author), Prakash Babu Narasimhan (11555675) (author), Pranay Sinha (9853869) (author), Elaine A Yu (18803128) (author), Saurabh Mehta (367781) (author), Sonali Sarkar (805160) (author)
Published:	2025
Subjects:	Biochemistry Microbiology Cell Biology Genetics Molecular Biology Neuroscience Pharmacology Biotechnology Cancer Infectious Diseases Virology Computational Biology Chemical Sciences not elsewhere classified targeted metabolomic analysis specific metabolic profiles many metabolites specific concept study compared despite known alterations manipulates host metabolism host metabolism even ptb remains understudied mild chest x examined metabolite dynamics controls without tb advanced cxr abnormality metabolite dynamics sphingolipid pathways smear grade six months severe tb severe drug sensitive ptb results highlight pilot proof one month month 1 mass spectrometry increase virulence gain nutrients disease severity despite anti 7 ).
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Differentially abundant metabolites influenced by both disease severity and treatment time.

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