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Observational Study
. 2022 Jul 8:13:919802.
doi: 10.3389/fimmu.2022.919802. eCollection 2022.

Effect of Dysglycemia on Urinary Lipid Mediator Profiles in Persons With Pulmonary Tuberculosis

Affiliations
Observational Study

Effect of Dysglycemia on Urinary Lipid Mediator Profiles in Persons With Pulmonary Tuberculosis

María B Arriaga et al. Front Immunol. .

Abstract

Background: Oxidized lipid mediators such as eicosanoids play a central role in the inflammatory response associated with tuberculosis (TB) pathogenesis. Diabetes mellitus (DM) leads to marked changes in lipid mediators in persons with TB. However, the associations between diabetes-related changes in lipid mediators and clearance of M. tuberculosis (Mtb) among persons on anti-TB treatment (ATT) are unknown. Quantification of urinary eicosanoid metabolites can provide insights into the circulating lipid mediators involved in Mtb immune responses.

Methods: We conducted a multi-site prospective observational study among adults with drug-sensitive pulmonary TB and controls without active TB; both groups had sub-groups with or without dysglycemia at baseline. Participants were enrolled from RePORT-Brazil (Salvador site) and RePORT-South Africa (Durban site) and stratified according to TB status and baseline glycated hemoglobin levels: a) TB-dysglycemia (n=69); b) TB-normoglycemia (n=64); c) non-TB/dysglycemia (n=31); d) non-TB/non-dysglycemia (n=29). We evaluated the following urinary eicosanoid metabolites: 11α-hydroxy-9,15-dioxo-2,3,4,5-tetranor-prostane-1,20-dioic acid (major urinary metabolite of prostaglandin E2, PGE-M), tetranor-PGE1 (metabolite of PGE2, TN-E), 9α-hydroxy-11,15-dioxo-2,3,4,5-tetranor-prostane-1,20-dioic acid (metabolite of PGD2, PGD-M), 11-dehydro-thromboxane B2 (11dTxB2), 2,3-dinor-6-keto-PGF1α (prostaglandin I metabolite, PGI-M), and leukotriene E4 (LTE4). Comparisons between the study groups were performed at three time points: before ATT and 2 and 6 months after initiating therapy.

Results: PGE-M and LTE4 values were consistently higher at all three time-points in the TB-dysglycemia group compared to the other groups (p<0.001). In addition, there was a significant decrease in PGI-M and LTE4 levels from baseline to month 6 in the TB-dysglycemia and TB-normoglycemia groups. Finally, TB-dysglycemia was independently associated with increased concentrations of PGD-M, PGI-M, and LTE4 at baseline in a multivariable model adjusting for age, sex, BMI, and study site. These associations were not affected by HIV status.

Conclusion: The urinary eicosanoid metabolite profile was associated with TB-dysglycemia before and during ATT. These observations can help identify the mechanisms involved in the pathogenesis of TB-dysglycemia, and potential biomarkers of TB treatment outcomes, including among persons with dysglycemia.

Keywords: Mycobacterium tuberculosis; anti-tuberculosis treatment; dysglycemia; lipid mediators; urinary eicosanoids.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Comparison of the distribution of urinary eicosanoids between the study groups. Box plot depicting the distribution of eicosanoids (median and interquartile range) among TB-dysglycemia, TB, dysglycemic patients and non-TB/non-dysglycemia individuals at each timepoint. Groups were compared using Kruskal Wallis (for four groups) and Mann Whitney tests (for two groups). Individuals without TB (Dysglycemia and non-TB/non-dysglycemia groups) had only two visits (baseline and month 6). TB, tuberculosis; PGE-M, major urinary PGE2 metabolite; PGD-M, major urinary PGD2 metabolite; PGI-M, 2,3-dinor-6-keto-PGF (PGI2 Metabolite); 11dTxB2, 11-dehydro-thromboxane B2 (TxB2 urinary metabolite); TN-E, tetranor-PGE1 (urinary PGE2 metabolite); LTE4, Leukotriene E4.
Figure 2
Figure 2
Urinary eicosanoids levels through of study timepoints. Distribution of eicosanoids (each point represents group medians) in TB-dysglycemia, TB, dysglycemia and non-TB/non-dysglycemia groups across study visits. Timepoints were compared using Friedman or Wilcoxon test (when corresponding). Individuals without TB (Dysglycemia and non-TB/non-dysglycemia groups) had only two visits (baseline and month 6). Details of central dispersion and tendency of the data are shown in the Table S2. TB, tuberculosis; PGE-M, major urinary PGE2 metabolite; PGD-M, major urinary PGD2 metabolite; PGI-M, 2,3-dinor-6-keto-PGF (PGI2 Metabolite); 11dTxB2, 11-dehydro-thromboxane B2 (TxB2 urinary metabolite); TN-E, tetranor-PGE1 (urinary PGE2 metabolite); LTE4, Leukotriene E4.
Figure 3
Figure 3
(A) Spearman correlation analysis plots between HbA1c (%) and TB-dysglycemia, TB, dysglycemic patients and non-TB/non-dysglycemia individuals at baseline. Significant correlations (p< 0.05) are represented in red bars. (B) Network analysis of eicosanoids in TB and TB-dysglycemic patients in the baseline, month 2 (M2) and month 6 (M6) among patient from Brazil and South Africa. Red solid lines: positive significant correlations (Spearman correlation). (C) Network densities of each bootstrap were calculated for each study group and timepoint as described in Methods. TB, tuberculosis; Dys, dysglycemia; PGE-M, major urinary PGE2 metabolite; PGD-M, major urinary PGD2 metabolite; PGIõ-M, 2,3-dinor-6-keto-PGF (PGI2 Metabolite); 11dTxB2, 11-dehydro-thromboxane B2 (TxB2 urinary metabolite); TN-E, tetranor-PGE1 (urinary PGE2 metabolite); LTE4, Leukotriene E4.
Figure 4
Figure 4
Urinary eicosanoid levels and tuberculosis severity. Scatter plot depicting the distribution of eicosanoids (median and interquartile range) among TB-Dysglycemia and TB cases with cavitation (CAV+) and without cavitation (CAV-) at baseline. Groups were compared using Kruskal Wallis test. Only statistically significant differences are shown. PGE-M, major urinary PGE2 metabolite; PGD-M, major urinary PGD2 metabolite; PGI-M, 2,3-dinor-6-keto-PGF (PGI2 Metabolite); 11dTxB2, 11-dehydro-thromboxane B2 (TxB2 urinary metabolite); TN-E, tetranor-PGE1 (urinary PGE2 metabolite); LTE4, Leukotriene E4.
Figure 5
Figure 5
Multinomial logistic regression, adjusted for age (years), sex (male), country, PGD, PGIM, TNE, 11dTxB2, LTE4 and BMI assessed at baseline with the TB-dysglycemia condition. OR, Odds ratio; 95% CI, 95% confidence intervals; PGE-M, major urinary PGE2 metabolite; PGD-M, major urinary PGD2 metabolite; PGI-M, 2,3-dinor-6-keto-PGF (PGI2 Metabolite); 11dTxB2, 11-dehydro-thromboxane B2 (TxB2 urinary metabolite); TN-E, tetranor-PGE1 (urinary PGE2 metabolite); LTE4, Leukotriene E4.

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