Leptin and urinary leukotriene E4 and 9α,11β-prostaglandin F2 release after exercise challenge

Predictive and prognostic value of leptin status in asthma

Asthma is closely associated with inflammation. We evaluated the predictive and prognostic value of leptin status in asthma. We searched the electronic databases for articles that determined the leptin level in asthma cases through May 2020. We compared the differences of leptin level between asthma and non-asthma controls, as well as between severe and mild asthma cases. We also investigated the impact of age and gender on these differences by using meta-regression analysis. 59 studies were included in our pooled analysis. Asthma cases demonstrated significantly higher leptin level than that in non-asthma controls among overall populations (SMD:1.061, 95% CI: 0.784-1.338, p < 10^-4), Caucasians (SMD:0.287, 95% CI: 0.125-0.448, p = 0.001), Asians (SMD:1.500, 95% CI: 1.064-1.936, p < 10^-4) and Africans (SMD: 8.386, 95% CI: 6.519-10.253, p < 10^-4). Severe asthma cases showed markedly higher leptin level than that in mild asthma cases among overall populations (SMD:1.638, 95% CI: 0.952-2.323, p < 10^-4) and Asians (SMD:2.600, 95% CI: 1.854-3.345, p < 10^-4). No significant difference of leptin level between severe and mild asthma was observed in Caucasians (SMD:-0.819, 95% CI: -1.998-0.360, p = 0.173). Cumulative analyses yielded similar results regarding the difference of leptin status between asthma and non-asthma controls, as well as between severe and mild asthma cases among overall populations. Age and male/ female ratio were not associated with the difference of leptin status between asthma and non-asthma controls (coefficient:-0.031, 95% CI: -0.123-0.061, p = 0.495; coefficient:0.172, 95% CI: -2.445-2.789, p = 0.895), as well as between severe and mild asthma cases among overall populations (coefficient:-0.072, 95% CI: -0.208-0.063, p = 0.279; coefficient: 2.373, 95% CI: -0.414-5.161, p = 0.090). Asthma demonstrated significantly higher level of leptin than that in non-asthma controls among overall populations, Caucasians, Asians and Africans. Severe asthma cases showed markedly higher leptin level than that in mild cases among overall populations and Asians. Leptin may be a risk predictor and prognostic marker of asthma. Early monitoring and intervention of leptin may be needed for asthma.

Mediator production and severity of aspirin-induced respiratory reactions: Impact of sampling site and body mass index

BACKGROUND

Patients with aspirin-exacerbated respiratory disease can experience severe reactions during aspirin challenge that are associated with high levels of mast cell mediators. The tissue source and clinical factors contributing to systemic mediator levels are unknown.

OBJECTIVE

To determine the concordance between respiratory tract and systemic inflammatory mediator levels and identify clinical factors associated with these mediators.

METHODS

We performed an oral aspirin challenge in 30 subjects with aspirin-exacerbated respiratory disease. Respiratory symptoms and function, nasal mucosal fluid, blood, and urine were collected at baseline, at the onset of a respiratory reaction and over a 3-hour observation period. Changes in nasal and systemic mediator levels were compared.

RESULTS

Neither tryptase nor leukotriene E₄ levels in nasal fluid correlated with serum tryptase or urinary leukotriene E₄ at baseline or during reactions. We observed no association between the baseline or aspirin-induced change in nasal versus urinary leukotriene E₄ and serum tryptase levels. Body mass index inversely correlated with baseline and aspirin-induced urinary leukotriene E₄, prostaglandin D₂ metabolite, and serum tryptase levels, as well as with aspirin-induced symptoms and respiratory function, but not with nasal mediators.

CONCLUSION

The levels of nasal and systemic aspirin-induced mast cell products are discordant in aspirin-exacerbated respiratory disease. Systemically detected levels are likely derived from mast cells outside of the sinonasal cavity and do not accurately reflect upper respiratory tract production. Increased body mass index decreases systemic mast cell mediator production and reaction severity, supporting a contribution of metabolic regulation in aspirin-induced systemic reactions.

Type 2 Inflammatory Biomarker Response After Exercise Challenge Testing

Introduction

Exercise-induced bronchoconstriction is due to osmotic stimulus of the airway epithelium and leads to a cascade of biomarker release from several inflammatory cells. Several type 2 (T2) mediators have been linked to exercise-induced bronchoconstriction, but the T2 response per se has not been described during exercise. The aim of this study was therefore to investigate T2 biomarkers in plasma and urine from subjects with asthma and healthy controls before and after an exercise challenge.

Methods

Twenty-two subjects with mild asthma and 18 healthy controls performed an exercise challenge test on a treadmill, and fractional exhaled NO (FeNO) was measured at baseline. Blood and urine samples were collected repeatedly during 60 min after the test and Interleukin-13 (IL-13), thymus and activation-related chemokine (TARC), periostin and leukotrienes were measured.

Results

Asthmatics and controls showed similar levels of IL-13, TARC, periostin and Cys-LT in plasma at baseline, and there were no differences in baseline levels between subjects with a negative and positive exercise challenge. After exercise, there was an overall increase in interleukin-13 (IL-13) in plasma in all subjects (p<0.001), with a peak at 10 min after the exercise challenge in both the asthmatic and control group. An increase in TARC in plasma was also seen (p<0.001), but only in the control subjects. In contrast, Cys-LT in plasma showed an overall decrease in all subjects (p<0.001), while periostin in plasma did not change. In conjunction with plasma, the level of IL-13 was increased in urine 30 min after the exercise challenge (p=0.002) and decreased again at 60 min (p=0.004). Similarly, leukotriene E₄ (LTE₄) was increased in urine samples, with a peak at 60 min and most pronounced in asthmatic subjects (p<0.001) but was seen also in controls (p=0.008).

Discussion

In conclusion, circulating levels of IL-13 are increased after exercise to the same extent in asthmatics and healthy control subjects, which indicates a physiological rather than a pathophysiological response. Also, the levels of TARC and leukotrienes were affected after exercise.

Plasma leptin level mirrors metabolome alterations in young adults

INTRODUCTION

Leptin is known to regulate pathways of energy metabolism, reproduction, and control appetite. Whether plasma leptin levels reflect changes in metabolites of these pathways is unknown.

OBJECTIVES

We aimed to find whether there is an association between leptin levels and levels of metabolites of energy and hormone metabolism.

METHODS

We performed an untargeted metabolomics analysis of plasma from 110 healthy adults (men: women = 1:1; aged 18-40 years), using liquid chromatography-tandem mass spectrometry. Blood samples were collected from all the study subjects in the fasting state. Clinical features and markers of obesity and Type 2 diabetes mellitus (T2DM) were assessed in all. The association between levels of metabolites and clinical and biochemical parameters was identified using the multivariable-adjusted linear regression model and PLS-DA analysis.

RESULTS

The leptin level was found to have a significant association with a substantial number of metabolites in women and men. Leptin level was positively associated with glycocholic acid and arachidic acid, metabolites related to energy metabolisms, pregnanediol-3-glucuronide, a metabolite of progesterone metabolism, and quercetin 3'-sulfate, a diet-derived metabolite. Leptin level was negatively associated with ponasteroside A and barringtogenol C levels. Leptin level was positively correlated with adiponectin and negatively with total calorie intake and levels of triglyceride and very-low-density lipoprotein. Leptin levels were associated with lipid and sex hormone metabolism in women, while metabolites involved in amino acid metabolism were correlated to leptin in men.

CONCLUSION

Our study indicates that leptin level reflects metabolome alterations and hence could be a useful marker to detect early changes in energy and hormone metabolisms.

Determination of potential childhood asthma biomarkers using a powerful methodology based on microextraction by packed sorbent combined with ultra-high pressure liquid chromatography. Eicosanoids as case study

Leukotrienes and prostaglandins are arachidonic acid bioactive derived eicosanoids and key mediators of bronchial inflammation and response modulation in the airways contributing to the pathophysiology of asthma. An easy-to-use ultra-high pressure liquid chromatography (UHPLC)-based strategy was developed to characterize biomarkers of lipid peroxidation: leukotrienes E (LTE₄) and B₄ (LTB₄) and 11β-prostaglandin F_2α (11βPGF_2α), present in urine of asthmatic patients (N = 27) and healthy individuals (N = 17). A semi-automatic eVol®-microextraction by packed sorbent (MEPS) was used to isolate the target analytes. Several experimental parameters with influence on the extraction efficiency and on the chromatographic resolution, were evaluated and optimized. The method was fully validated under optimal extraction (R-AX sorbent, 3 conditioning-equilibration cycles with 250 μL of ACN-water at 0.1% FA, 10 extract-discard cycles of 250 μL of sample at a pH of 5.1, elution with 2 times 50 μL of MeOH and concentration of the eluate until half of its volume) and chromatographic conditions (14-min analysis at a flow rate of 300 μL min-1 in an UHPLC-PDA equipped with a BEH C18 column), according to IUPAC guidelines. The findings indicated good recoveries (>95%) in addition to excellent extraction efficiency (>95%) at three concentration levels (low mid and high) with precision (RSDs) less than 11%. The lack-of-fit test, goodness-of-fit test and Mandel's fitting test, revealed good linearity within the concentration range. Good selectivity and sensitivity were achieved with a limits of detection ranging from 0.04 μg L^-1 for LTB4 to 1.12 μg L^-1 for 11βPGF2α, and limits of quantification from 0.10 μg L^-1 for the LTB4 to 2.11 μg L^-1 for 11βPGF2α. The successful application of the fully validated method shows that, on average, the asthmatic patients had significantly higher concentrations of 11βPGF_2α (112.96 μg L^-1vs 62.56 μg L^-1 in normal controls), LTE₄ (1.27 μg L^-1vs 0.89 μg L^-1 in normal controls), and LTB₄ (1.39 μg L^-1vs 0.76 μg L^-1 in normal controls). The results suggest the potential of the target eicosanoids on asthma diagnosis, however, a larger and more extensive study will be necessary to confirm the data obtained and to guarantee a greater robustness to the approach.

Urinary Leukotriene E4 as a Biomarker of Exposure, Susceptibility, and Risk in Asthma: An Update

Measurement of urinary leukotriene E₄ (uLTE₄) is a sensitive and noninvasive method of assaying total body cysteinyl leukotriene (CysLT) production and changes in CysLT production. Recent studies have reported on novel LTE4 receptor interactions and genetic polymorphisms causing CysLT variability. The applications of uLTE₄ as a biomarker continue to expand, including evaluation of environmental exposures, asthma severity risk, aspirin sensitivity, predicting atopy in preschool age children, obstructive sleep apnea, and predicting susceptibility to leukotriene receptor antagonists.

A review on airway biomarkers: exposure, effect and susceptibility

Current research in pulmonology requires the use of biomarkers to investigate airway exposure and diseases, for both diagnostic and prognostic purposes. The traditional approach based on invasive approaches (lung lavages and biopsies) can now be replaced, at least in part, through the use of non invasively collected specimens (sputum and breath), in which biomarkers of exposure, effect and susceptibility can be searched. The discovery of specific lung-related proteins, which can spill over in blood or excreted in urine, further enhanced the spectrum of airway specific biomarkers to be studied. The recent introduction of high-performance 'omic' technologies - genomics, proteomics and metabolomics, and the rate at which biomarker candidates are being discovered, will permit the use of a combination of biomarkers for a more precise selection of patient with different outcomes and responses to therapies. The aim of this review is to critically evaluate the use of airway biomarkers in the context of research and clinical practice.