| Autor: |
Rai, Mohit Kumar, Yadav, Sachin, Jain, Avinash, Singh, kritika, Kumar, Amit, Raj, Ritu, Dubey, Durgesh, Singh, Harshit, Guleria, Anupam, Chaturvedi, Saurabh, Khan, Abdul Rahman, Nath, Alok, Misra, Durga Prasanna, Agarwal, Vikas, Kumar, Dinesh |
| Předmět: |
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| Zdroj: |
Metabolomics; Nov2023, Vol. 19 Issue 11, p1-15, 15p |
| Abstrakt: |
Background: Pulmonary sarcoidosis (SAR) and tuberculosis (TB) are two granulomatous lung-diseases and often pose a diagnostic challenge to a treating physicians. Objective: The present study aims to explore the diagnostic potential of NMR based serum metabolomics approach to differentiate SAR from TB. Materials and Method: The blood samples were obtained from three study groups: SAR (N = 35), TB (N = 28) and healthy normal subjects (NC, N = 56) and their serum metabolic profiles were measured using 1D 1H CPMG (Carr-Purcell-Meiboom-Gill) NMR spectra recorded at 800 MHz NMR spectrometer. The quantitative metabolic profiles were compared employing a combination of univariate and multivariate statistical analysis methods and evaluated for their diagnostic potential using receiver operating characteristic (ROC) curve analysis. Results: Compared to SAR, the sera of TB patients were characterized by (a) elevated levels of lactate, acetate, 3-hydroxybutyrate (3HB), glutamate and succinate (b) decreased levels of glucose, citrate, pyruvate, glutamine, and several lipid and membrane metabolites (such as very-low/low density lipoproteins (VLDL/LDL), polyunsaturated fatty acids, etc.). Conclusion: The metabolic disturbances not only found to be well in concordance with various previous reports, these further demonstrated very high sensitivity and specificity to distinguish SAR from TB patients suggesting serum metabolomics analysis can serve as surrogate method in the diagnosis and clinical management of SAR. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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