Showing posts with label Respiratory sciences. Show all posts
Showing posts with label Respiratory sciences. Show all posts

Monday, January 27, 2020

NMR Metabolomics to Explore Respiratory Disorders-Juniper Publishers


International Journal Of Pulmonary & Respiratory Sciences


Introduction to Metabolomics

Metabolites are the end products of enzymatic activity inside the cells. Being in general characterized by molecular masses less than 1 kDa, they are represented by amino acids, carbohydrates, lipids, hormones, nucleotides and other small molecules. Due to the proximity of metabolites to a phenotype or disease, detecting and quantifying changes in the concentration of metabolites may reveal the range of biochemical effects induced by a disease condition or its therapeutic intervention. This is exactly the task of Metabolomics, the newest ‘omics’ science whose term was coined in analogy with those of the previously developed Genomics and Proteomics. Metabolomics is not only complementary to the other two approaches but, being able to provide information that allows a better understanding of cellular biology, it looks like the perfect tool suitable to integrate them. In fact, although genomics provides good fingerprints of hereditary information, it should be underlined that not all human diseases are associated with genetic defects. On the other hand, up- or down-regulation in protein(s) expression revealed by proteomics not necessarily correlates with a perturbation in their biological activity. Thus, given that the metabolome reflects changes that occur in the transcriptome, genome, or proteome, it can provide an instantaneous snapshot of cell physiology.

NMR Technology
Given the huge number, the chemical diversity and the dynamic range of metabolite concentration, analyzing their entire range would require the combination of different analytical methods. Nevertheless, very often a single technique is able to provide a good snapshot of the system under investigation. The most used methods applied are currently gas or liquid chromatography (GC or LC) in combination with mass spectrometry (MS) and nuclear magnetic resonance (NMR) spectroscopy. The peculiarities and advantages of NMR (it is rapid, quantitative, non-destructive and requires minimal sample pre-treatment) makes often this method more attractive than the others for providing a rapid and accurate metabolic picture of the sample. Briefly, the biological sample under investigation is placed in a strong magnetic field to align nuclei (e.g., 1H, 13C, 15N, 31P) contained in the analytes. The interaction of a high power short duration radio frequency pulse leads to the generation of small NMR signals which are translated into peaks that are displayed across a spectrum. In principle, by comparing the position of these signals with reference data present in the literature, NMR resonances of common metabolites can be identified. When dealing with overlapping of signals, the use of a more sophisticated procedure (two-dimensional NMR experiments) that improve resolution is required.

NMR applied to Pulmonary Disorders
The rapid expansion of NMR metabolomics in the field of lung disorders resulted in the publication of a wealth of articles focused on the identification of metabolites associated with different diseases including chronic obstructive pulmonary disease, asthma, cystic fibrosis, tuberculosis, sarcoidosis, invasive pulmonary aspergillosis, pulmonary arterial hypertension, pulmonary langerhans cell hystiocytosis, high altitude pulmonary edema, adult respiratory distress syndrome, bronchiolitis obliterans syndrome, pulmonary emphysema associated with α1-antitrypsin deficiency. In most cases the matrices investigated were those that much better than others reflect the local environment they came from, i.e. bronchoalveolar lavage fluid (BALf), induced sputum, exhaled breath condensate (EBC), epithelial lining fluid (ELF). It was observed that profiles of patients with different pathological conditions shared largely the same panel of metabolites. However, while appearing similar, the patterns of peaks evidenced distinctive differences in terms of presence/absence of some specific metabolites and prompted investigators at focusing on their quantitative variations. In general, from among the numerous metabolites detected, those that allowed to discriminate patients from healthy controls were identified as Krebs cycle intermediates, mono- and disaccharides, nucleotides, phospholipid precursors, amino acids, alcohols, ketones, short-chain fatty acids. The fact that these molecules were “heterogeneous”, other than being a source of confusion, was an incentive to the search of a rationale for reasoning on their potential role in the onset of the disorder. Although belonging to different chemical classes, these analytes contained a piece of information that was unequivocally useful to distinguish profiles of health from those of disease states. In most cases multivariate statistical analyses (i.e. principal component analysis and/or orthogonal partial least squares discriminant analysis) were carried out to confirm that data concerning discrimination between cohorts of subjects under investigation were statistically significant. Application of appropriate platforms to the lists of metabolites also allowed interpretation of acquired data and consequent generation of biochemical pathways aimed at defining their relationships. These studies allowed pointing out a good number of pathways that played a critical role in different lung disorders. These included cellular energy metabolism (alteration in β-oxidation of fatty acids, glycolysis, pentose phosphate pathway), the pyruvate and the taurine/hypotaurine pathways. The fact that a number of metabolites identified in these studies were common to a variety of pulmonary disorders could mean that they were not very specific to a given pathology. However, given the common clinical traits among several lung disorders, this finding was not surprising. Taken together, all NMR experimental data so far generated evidenced/confirmed that some relevant pathways shown to be involved in a lung disorder, most likely were deregulated also in other cognate pulmonary pathologies.

Conclusions
Although the application of NMR to metabolomic studies of respiratory disorders is still in its infancy, the data so far published represent a significant contribution to the identification of biomarkers which may aid in the diagnosis and/or treatment of lung diseases. Metabolome is characterized by a peculiar ability to change very quickly over time. Thus, succeeding in identifying molecules that nobody expected to be there (and the metabolic pathway they are involved in) would be an important contribution which may open the door to clinical studies.



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Wednesday, November 27, 2019

Airway Microbiota and Allergic Diseases: Clinical Implications-Juniper Publishers

INTERNATIONAL JOURNAL OF PULMONARY & RESPIRATORY SCIENCES

Introduction

Bronchial Asthma is an airway disease with variable degrees of bronchial mucosal inflammation and intermittent episodes of airway obstruction and bronchial hyperesponsivness. That asthma is a syndrome consisting of different phenotypes has been recognized for a long time by clinicians [1]. New evidence indicates that the composition of airway microbiota differs in states of health and disease. Different chronic airway diseases had been related to changes in microbiota due to various factors which could affect severity of symptoms and even response to treatment [2]. Micro biome may be one of the protective factors against asthma in early life [3].


What is Airway Microbiota
It a complex variety of microbes present intrachea and different generations of the bronchi either on the mucus layer or the epithelial surfaces or even both. These microbes include bacteria, yeasts, viruses and bacteriophages. The bacterial part of microbiomeis the most prevalent component with various genera: Prevotella, Sphingomonas, Pseudomonas, Acinetobacter, Fusobacterium, Megasphaera, Veillonella, Staphylococcus, and Streptococcus. The bronchial tree for instance contains a mean of 2000 bacterial genomes per cm2 surface [4]. The mucosal surfaces in the human body are the home of 10-100 trillion microbes with a diversity of greater than 1,000 species [5]. The highest concentration of microbes is found in the GI tract, compared to those found in the lower airways. Healthy human lungs are not sterile, as previously believed, but it is unknown whether the microbes in the lungs form a stable community or are a series of transient colonizers [6].

However, various theories about the origin of lower airway microbiota in healthy individuals had been suggested. As it may represent true colonization of the lower generations of bronchi, or it is the result of turnover of the microbial community or it is just contamination of oropharynx during lower airway sampling or even linked potentially to those who are incorrectly categorized as truly healthy [7].

Importance of microbiota

The commensal bacteria are nonpathogenic and defend our airways against the pathogens. There are several possible mechanisms:
  1. Commensals are the native competitors of pathogenic bacteria, because they occupy the same niche inside the human airways.
  2. They are able to produce antibacterial substances called bacteriocins which inhibit the growth of pathogens. Genera Bacillus, Lactobacillus, Lactococcus, Staphylococcus, Streptococcus, and Streptomyces are the main producers of bacteriocins in respiratory tract.
  3. Commensals are good inducers of anti allergic Th1 cascade with anti-inflammatory interleukin (IL)-10, FOXP3, and secretory immunoglobulin A (sIgA) production [7].

Airway epithelial cell and microbiota interaction

The airway epithelium together with alveolar macrophages and dendritic cells collectively can recognize of bacterial products trapped into the lower airways with the inhaled air. Some of these products are can potentiate pro inflammatory stimuli. So it is a challenging issue to distinguish between pathogens and commensals to avoid development of constant or persistent inflammation and help to develop tolerance against harmless microbiota [8].

Once pathogenic bacterium (e.g., S. pneumoniae, P.aeruginosa) has been attached to activated pattern recognition receptors located on/in bronchial epithelial cells, the proinflammatory cytokines pathways are predominant via release of IL-1, IL-6 and IL-8 which induce neutrophils, dendritic cells and macrophages chemotaxis to target cells (e.g., neutrophils, dendritic cells and macrophages. Standard microbiota fail to induce strong signaling, thus aborting inflammation. (Figure 1) [9].
This process becomes much more intriguing when taking into account that commensals often share their surface molecules with pathogens. Epithelial cells are equipped with very sensitive recognition tools - toll like receptors (TLRs), NOD like receptors (NLRs) and retinoic acid-inducible gene (RIG)-I-like receptors (RLRs) which determine presence of non commensal bacteria which activate cellular components of the adaptive and innate immunity and recruit them to the infection site [7].

NF-κB is the principal regulators of different response to harmful microbiota as it is become activated by a number of stimuli as bacterial cell walls or inflammatory cytokines. This results in its translocation from the cytoplasm into the nucleus to activate epithelial cells pro-inflammatory genes. These specific genes can recognize a particular nucleotide sequence (5’-GGG ACT TTC T-3’) in upstream region of response genes. [10]. Inspite of expressing express the same microbe-associated molecular patterns (MAMPs), harmless bacteria fails to translocate NF-κB into the nucleus thus preventing the inflammation. The balance between pathogens and commensals is extremely important in the maintenance of homeostasis in the respiratory tract [9].

Pediatric acterial airway microbiota in early life

A neonatal mouse exposed to a broad-spectrum antibiotic has been shown to increase allergen-induced airway inflammation susceptibility [4]. Germ-free mice also exhibit enhanced airway inflammation upon allergen exposure [3], while colonizing OF germ free mice with microbiota from conventional mice decreased accumulation of natural killer T (NKT) cells in their airways .This was only observed in neonates not in adult mice. This highlights the importance of early life as a critical period for intervention [11].

Absence of airway colonization during this critical neonatal window resulted in sustained susceptibility to allergicinflammation through adulthood. This ensure long-term control of allergic airway inflammation via controlling commensal bacteria communities early in early life [12].

Microbiota and climax community

Climax community is defined as a microbial community that has reached a final or “climax” steady state best adapted for growth at that specific niche along the mucosa. However, this climax community is dynamic and still exhibits both resistance and resilience [13]. Evidence is now accumulating that longterm dietary pressures , repeated antibiotic use, GI illnesses or medications such as antacids, proton pump inhibitors, and nonsteroidal anti-inflammatory drugs can break both the resistance and resilience of a community and result in it re-assembling into another climax community, although this may be accompanied by detrimental changes in host mucosal immuno biology and physiology. One mechanism underlying the activity of probiotic microbes and prebiotic nutrients may be the ability to restructure a climax community to improve host mucosal immuno biology and physiology [14].

Microbiota (microflora) hypothesis

Several theories had been suggested to explain the increase in the incidence of asthma and other allergic diseases over the past 30 years and the discrepancy between the higher rates of allergic disease among industrialized relative to developing countries. One rising assumption is a lack of early microbial stimulation which results in aberrant immune responses to innocuous antigens later in life “hygiene hypothesis” [15]. Life style modifications and over use of broad spectrum antibiotics raise the concept of disturbance of mechanisms of mucosal immunologic tolerance due to changing diversity of gastrointestinal (GI) microbiota composition in westernized areas [16].

Epidemiologic and clinical data supporting this interpretation include

  1. a positive correlation between increasing risk for asthma/allergies and increasing use antibiotics in industrialized countries,
  2. Altered fecal microbiota composition had been correlated to different atopic diseases
  3. Oral probiotics orsignificant dietary changes lead to some successful prevention/reduction of severity of allergic diseases.
Experimental data in mice compared that immune response generation and normal ones which showed numerous defects in immune response [17]. Altogether, these experimental, epidemiologic, and clinical observations support the hypothesis that even minor changes in the quality or quantity of airway microbiota can be one of the predisposing factors for allergic disease [10].

Cross-talk between the gut and the lung

The existence of the gut–lung axis and its implications for airway disease provide a portal for potential therapeutic intervention in prevention or management of asthma [18]. Oral supplementation with probiotic strain of Bifidobacterium and prebiotic non-digestible oligosaccharides reduced airway IL6 and IL4 levels and protected against HDM-induced airway inflammation. This suggest that some intestinal bacteria have the capacity to suppress inflammation at a distal mucosal site [19].

Oral tolerance and airway tolerance

Oral tolerance is defined as the propensity of ingested antigens to abort subsequent systemic immune responses. Gastrointestinal tract may be also involved in tolerance to inhaled and ingested antigensvia CD4+ regulatory T cells (Tregs) that produce immunosuppressive cytokines, IL-10 and TGFβ, in what is termed “bystander suppression.” [19,20]. Mucosal signals, such as those from the microbiota, keep resident dendritic cells in an immature or non-inflammatory state [15].

Airway microbiata diversity in asthma

In asthmatic patients, certain airway microbial composition was associated with airway eosinophilia and AHR to mannitol but not airway neutrophilia. Comparing eosinophilic and noneosinophilic asthmaas regards airway microbiome revealed that Asthmatic patients with the lowest levels of eosinophils had an altered bacterial microbial profile, with more Neisseria, Bacteroides, and Rothia species and less Sphingomonas, Halomonas, and Aeribacillus species compared with asthmatic patients with high eosinophilia. This may invite furtherresearch on effect of modulating diversity of microbiota to modulate various asthma phenotypes [21].

Airway microbiota dysbiosis in asthma

Airway dysbiosis in patients with severe asthma appears to differ from that observed in those with milder asthma. Specific Bacterial communities as Proteobacteria were associated with worsening ACQ scores and sputum total leukocyte values in severe and poorly controlled asthma. Actinobacteria had been associated with stable or even improving ACQ scores and can predict steroid responsiveness [22].

Airway microbiota and asthma heterogeneity

Dissecting the role of the microbiome in asthma is challenged by the heterogeneity of the disease at multiple levels (Figure 2). These levels include asthma’s clinical and inflammatory heterogeneity, genetic factors that contribute to asthma risk, and the multiplicity of immune pathways involved in asthma. The potential effects of environmental exposures on gene function, immune responses, as well as microbiota composition add further complexity. As with genetics, mechanistic consequences of the altered microbiome may explain certain aspects or phenotypes of asthma as the development of allergic or non-allergic asthma,and treatment-resistant asthma) [22] Components of the depicted system-host genetics and immunology, microbiota, environmental exposures, and the disease of asthma- are themselves heterogeneous entities, presenting challenges to more precisely dissect the role(s) of the microbiome in asthma.

Upper airway microbiota and asthma

Bisgaard et al. [23] demonstrated that the nasopharyngeal microbiome composition was influenced by the early life exposures, including attending day care, having siblings, and taking antibiotics. Haemophilus, Streptococcus, Moraxella had been previously associated with airway disease and increased risk for asthma exacerbations. Early colonization with either Moraxella, or Streptococcus was strongly associated with acute lower respiratory viral infections. This colonization can be predictor for asthma development later in life.

Thus, probiotic intervention studies of animals provide encouraging evidence for intentional manipulation of the intestinal microbiota as a strategy for asthma prevention and management. A meta-analysis of a large number of randomized trials of probiotic supplementation, on atopic sensitization and asthma in children, however, shows that the success of these interventions in mice does not translate easily to disease prevention in humans. At a minimum, this highlights that different probiotics may have distinct interactions with the host microbiome and that some strains might be more specific for modulating atopic inflammation but many other considerations, such as diet, age of intervention, coincident environmental exposures, length of supplementation period, and other as yet unknown factors, are likely important [24].

Airway microbiota and severity of asthma

Relationships between the airway microbiome and disease features have also been examined in patients with in severe asthma. Different clinical phenotypes of severe asthma have been described, suggesting the possible involvement of alternate mechanistic pathways, as has been surmised for asthma in general. A preliminary analysis of the bronchial microbiome in these subjects, poorly controlled despite high-dose ICS therapy, noted significant relationships between different bacterial community profiles and features such as body-mass index and measures of asthma control [25]. A similar study of sputum bacterial composition in 28 treatment-resistant asthmatics found that the relative abundance of M. catarrhalis, Haemophilus, or Streptococcus spp. correlated with worse lung function and higher sputum neutrophil counts and IL-8 concentrations [19].

Microbiota and therapy of allergic disease

The composition of the microbiota can be manipulated by combinations of antibiotics, probiotics, and dietary components which may have direct growth promoting or inhibiting activity for specific microbes. [26]. Certain types of fatty acids, phenolic compounds, and carbohydrates may modulate these microbiota. However, a single type of probiotic or dietary component will not be efficacious in all individuals. This likely due to differences in the types of microbial communities in different individuals. The objective of the international Human Microbiome Project is to characterize and define the human microbiome in states of health and disease [10]. The challenge for future research is to use this information to optimize probiotic/dietary therapy to improve human health and prevent microbiota-associated diseases, such as allergies .They are likely to include short chain fatty acids and ionic polysaccharides [27] .

Microbiota and prevention of allergic disease

Probiotic intervention studies of animals provide encouraging evidence for intentional manipulation of the intestinal microbiota as a strategy for asthma prevention and management. However, A large number of randomized trials on the value of probiotic supplementation, on asthma incidence and severity in children, could not show the same success of these interventions as in mice [28-30]. This may be due to many other considerations, such as diet, age of intervention, coincident environmental exposures, length of supplementation period, and other as yet unknown factors, are likely important [24,31- 34].

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