Predictive metabolite signatures for risk of progression to active TB from QuantiFERON supernatants of household contacts of TB patients
2024

Predictive Metabolite Signatures for Tuberculosis Progression

Sample size: 28 publication Evidence: moderate

Author Information

Author(s): E. A. Daniel, Shubham Upadhyay, Selvachithiram Murugesan, Pattabiraman Sathyamurthi, Bhanu Brindha, Sivaprakasam Amsaveni, Kulkarni Vandana, Karyakarte Rajesh, Gaikwad Sanjay, Paradkar Mandar, Yogendra Shivakumar Shri Vijay Bala, Vidya Mave, Amita Gupta, Keshava Prasad, Luke Elizabeth Hanna

Primary Institution: National Institute for Research in Tuberculosis, Indian Council of Medical Research (ICMR), Chennai, India

Hypothesis

Can metabolic profiles in QuantiFERON supernatants predict the risk of progression to active tuberculosis in household contacts?

Conclusion

The study identified specific metabolite signatures that could predict the risk of progression to active tuberculosis.

Supporting Evidence

  • 21 significantly dysregulated metabolites were identified in TB antigen-stimulated supernatants of Progressors.
  • The combination of Malic acid and N-Arachidonoylglycine had a maximum AUC of 0.99.
  • 18 significantly dysregulated metabolites were identified in unstimulated QuantiFERON supernatants of Progressors.
  • The combination of Orotic acid and specific phosphatidylcholines had a maximum AUC of 0.98.
  • Most dysregulated metabolites belonged to fatty acid and lipid metabolism pathways.

Takeaway

Researchers found certain chemicals in the blood that can help tell if someone might get sick with tuberculosis later on.

Methodology

The study analyzed metabolic profiles in QuantiFERON supernatants from 14 healthy household contacts who progressed to TB and 14 who remained healthy over two years.

Limitations

The cohort size was small and metabolites identified are putative, requiring further validation.

Participant Demographics

Participants included healthy household contacts of TB patients, matched for age and gender.

Statistical Information

P-Value

p<0.05

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1080/22221751.2024.2437242

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