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Identification of serum metabolic markers for diagnosis of women with dormant genital tuberculosis

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Abstract

Introduction

Genital tuberculosis (GTB) in women is one of the common causes of infertility in emerging countries. As an intracellular pathogen, Mycobacterium tuberculosis in the endometrium significantly alters the host metabolism in dormant GTB cases. Nuclear magnetic resonance (NMR) based metabolic profiling has emerged as a useful tool for identification of biomarkers in biological fluids.

Objective

To investigate NMR based serum metabolic profile of dormant GTB women as compared to controls.

Methods

Dormant GTB women (n = 26) and unexplained infertile women (controls; n = 26), healthy proven fertile women undergoing voluntary sterilization (n = 25) and women undergoing recurrent spontaneous miscarriage (RSM) (n = 27) were included in the study. 700 MHz proton NMR spectra of serum collected from these patients were recorded. Multivariate analysis including principal component analysis, partial least squares discriminant analysis and orthogonal projection to latent structure-discriminant analysis was applied to all the spectra. Association of dysregulated serum metabolites with our earlier findings related to altered endometrial tissue metabolites in dormant GTB women was studied using multiple correlation analysis.

Results

This study indicates a clear metabolic differentiation between women with dormant GTB and controls. Metabolites including 3-hydroxybutyrate, succinate, citrate, acetate, l-glutamine, l-lysine, glutamate, l-threonine and 1-methyl histidine were found to be significantly upregulated in serum of women with dormant GTB compared with controls. Pearson’s correlation analysis showed a significant correlation between the expression of endometrial tissue and serum metabolites.

Conclusions

The set of identified metabolites may be considered as candidate markers for the diagnosis of dormant GTB and help clinicians in early therapeutic management.

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Acknowledgments

The authors are thankful to all the volunteers participated in this study. One of the authors, E Subramani, is acknowledging to IIT Kharagpur and MHRD, Govt. of India for fellowship.

Funding

His work was partly funded by Indian Council of Medical Research, Govt. of India (No.5/7/372/09-RHN; KC).

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Authors

Corresponding author

Correspondence to Koel Chaudhury.

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Conflicts of interest

Authors do not have any conflict of interest.

Ethical approval

All procedures performed in the present study involving human participants were in accordance with the ethical standards of the institutional and national research committee and with the 1964 Helsinki declaration and its later amendments.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Electronic supplementary material

Below is the link to the electronic supplementary material.

11306_2016_1042_MOESM1_ESM.tif

Supplementary material 1 Representative T2-edited CPMG NMR spectra (δ 0.0−9.0) of serum from women with dormant GTB. Metabolites are indicated as follows: 1-TSP, 2-Lipids, 3-L-Isoleucine, 4-L-Leucine, 5-L-Valine, 6-3-Hydroxybutyric acid, 7-Lactate, 8-L-Alanine, 9-Adipic acid, 10-L-Lysine, 11-Acetate, 12-L-Proline, 13-n-Acetyl glycoproteins, 14-L-Glutamine, 15-Acetone, 16-D-Glutamate, 17-Citrate, 18-Creatine, 19-Creatinine, 20-Ornithine, 21-L-Carnitine, 22-D-Glucose, 23-Glycine, 24-L-Histidine, 25-L-Threonine, 26-L-Tyrosine, 27-L-Phenylalanine, 28-Formate, 29-Glycerol, 30-Betaine, 31-Succinate (TIFF 669 kb)

11306_2016_1042_MOESM2_ESM.tif

Supplementary material 2 Two-dimensional scatter plot of (A) PCA, (B) PLS-DA discriminates dormant GTB women, controls, proven fertile women and RSM cases. (C) Permutation test of PLS-DA model for validation (n = 200) (TIFF 1542 kb)

11306_2016_1042_MOESM3_ESM.tif

Supplementary material 3 Color map represents variable importance in projection (VIP) scores corresponding to the OPLS-DA model for dormant GTB and controls (TIFF 4830 kb)

11306_2016_1042_MOESM4_ESM.tif

Supplementary material 4 Scatter plot of OPLS-DA and its corresponding correlation coefficient plots obtained from (A) dormant GTB cases versus proven fertile women, (B) RSM cases versus proven fertile women (C) dormant GTB women versus RSM women (TIFF 2008 kb)

11306_2016_1042_MOESM5_ESM.tif

Supplementary material 5 The color bar represents VIP scores corresponding to OPLS-DA model of (A) dormant GTB cases versus proven fertile women, (B) RSM cases versus proven fertile women (C) dormant GTB women versus RSM women (TIFF 2711 kb)

11306_2016_1042_MOESM6_ESM.tif

Supplementary material 6 Compound network map of dysregulated metabolites. Blue hexagon represents input compound (potential metabolite markers). Pink hexagon indicated the related compounds and chemical reactions (TIFF 22000 kb)

Supplementary material 7 (DOCX 18 kb)

Supplementary material 8 (DOCX 28 kb)

Supplementary material 9 (DOCX 73 kb)

Supplementary material 10 (DOCX 18 kb)

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Subramani, E., Dutta, M., Jothiramajayam, M. et al. Identification of serum metabolic markers for diagnosis of women with dormant genital tuberculosis. Metabolomics 12, 99 (2016). https://doi.org/10.1007/s11306-016-1042-5

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