1H NMR-based metabolomic study of metabolic profiling for pollinosis

Zhou, Yanjun; Li, Lisha; J, Sun; Guan, Kai; Wei, Ji‐Fu

doi:10.1016/j.waojou.2018.11.005

Cited by 13 publications

(16 citation statements)

References 32 publications

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“…This has been identified as a biomarker of asthma, along with glutamine and histidine, 29 and all three altered at seizure stage of pollinic patients. 30 On the other hand, L-tryptophan, L-arginine and L-kynurenine were significantly increased on the apical compartment of ALIcultured Calu-3 cells after Der p 1 exposure but not on the basolateral one, compared to both, control and Ole e 1-exposed cells.…”

Section: Annotation and Identification Of Metabolites Released By Ali-cultured Calu-3 Cells After Allergen Exposure During Barrier Establmentioning

confidence: 81%

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Comparative metabolomics analysis of bronchial epithelium during barrier establishment after allergen exposure

López-Rodríguez

Rodríguez-Coira

Benedé

et al. 2021

Clinical & Translational All

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Background Several studies have shown a correlation between an altered metabolome and respiratory allergies. The epithelial barrier hypothesis proposes that an epithelial barrier dysfunction can result in allergic diseases development. Der p 1 allergen from house dust mite is a renowned epithelial barrier disruptor and allergy initiator due to its cysteine‐protease activity. Here, we compared the metabolic profile of the bronchial epithelium exposed or not to Der p 1 during barrier establishment to understand its active role in allergy development. Methods Calu‐3 cells were cultivated in air‐liquid interface cultures and exposed to either Der p 1 or Ole e 1 allergens during barrier establishment. The comparative metabolomics analysis of apical and basolateral media were performed using liquid chromatography and capillary electrophoresis both coupled to mass spectrometry. Results We showed that epithelial barrier disruption by Der p 1 was associated with a specific metabolic profile, which was highly dependent on the state of the epithelium at the time of contact. Moreover, an apical‐basolateral distribution of the metabolites was also observed, indicating a compartmentalization of the response with differential metabolic patterns. A number of metabolites were changed by Der p 1, mainly related to amino acids metabolism, such as L‐arginine, L‐kynurenine and L‐methionine. Conclusion This work is the first report on the metabolic response in human bronchial epithelial cells associated with cysteine‐protease Der p 1 activity, which could contribute to allergy development. Moreover, it supports a reformulated epithelial barrier hypothesis that might help to explain allergies and their increasing prevalence.

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Section: Annotation and Identification Of Metabolites Released By Ali-cultured Calu-3 Cells After Allergen Exposure During Barrier Establmentioning

confidence: 81%

“…Methionine plays an important role in the synthesis of proteins involved in the immune response. This has been identified as a biomarker of asthma, along with glutamine and histidine, 29 and all three altered at seizure stage of pollinic patients 30 …”

Section: Discussionmentioning

confidence: 99%

Comparative metabolomics analysis of bronchial epithelium during barrier establishment after allergen exposure

López-Rodríguez

Rodríguez-Coira

Benedé

et al. 2021

Clinical & Translational All

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“…Zhou et al. studied serum samples from pollinosis patients using NMR-based metabolic patients and found that pollinosis could alter the metabolic profile of energy, amino acid and lipid in patients, which may be diagnostic and/or prognostic markers in patients with hay fever ( 51 ). Adamko et al.…”

Section: Discussionmentioning

confidence: 99%

Airway Microbiome and Serum Metabolomics Analysis Identify Differential Candidate Biomarkers in Allergic Rhinitis

Yuan

Wang

et al. 2022

Front. Immunol.

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Allergic rhinitis (AR) is a common heterogeneous chronic disease with a high prevalence and a complex pathogenesis influenced by numerous factors, involving a combination of genetic and environmental factors. To gain insight into the pathogenesis of AR and to identity diagnostic biomarkers, we combined systems biology approach to analyze microbiome and serum composition. We collected inferior turbinate swabs and serum samples to study the microbiome and serum metabolome of 28 patients with allergic rhinitis and 15 healthy individuals. We sequenced the V3 and V4 regions of the 16S rDNA gene from the upper respiratory samples. Metabolomics was used to examine serum samples. Finally, we combined differential microbiota and differential metabolites to find potential biomarkers. We found no significant differences in diversity between the disease and control groups, but changes in the structure of the microbiota. Compared to the HC group, the AR group showed a significantly higher abundance of 1 phylum (Actinobacteria) and 7 genera (Klebsiella, Prevotella and Staphylococcus, etc.) and a significantly lower abundance of 1 genus (Pelomonas). Serum metabolomics revealed 26 different metabolites (Prostaglandin D2, 20-Hydroxy-leukotriene B4 and Linoleic acid, etc.) and 16 disrupted metabolic pathways (Linoleic acid metabolism, Arachidonic acid metabolism and Tryptophan metabolism, etc.). The combined respiratory microbiome and serum metabolomics datasets showed a degree of correlation reflecting the influence of the microbiome on metabolic activity. Our results show that microbiome and metabolomics analyses provide important candidate biomarkers, and in particular, differential genera in the microbiome have also been validated by random forest prediction models. Differential microbes and differential metabolites have the potential to be used as biomarkers for the diagnosis of allergic rhinitis.

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“…According to published studies, L-threonine, a kind of amino acid, was reduced in SLE plasma compared with HCs. 15 Moreover, Zhou et al 14 revealed that SLE sera samples were characterized by decreased Beta-alanine using 1 H NMR spectroscopy-based metabolomics. Consistently with their results, the reduced serum L-threonine and Beta-alanine were detected in our study indicating our results were solid and stable.…”

Section: Discussionmentioning

confidence: 99%

Identification of Serum Biomarkers and Pathways of Systemic Lupus Erythematosus with Skin Involvement Through GC/MS-Based Metabolomics Analysis

Xie¹,

Wu²

2022

CCID

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Purpose Skin involvement is the second most common symptom of systemic lupus erythematosus (SLE), and the prevention of skin lesion development might benefit to lessen the system inflammation burden in SLE. However, the mechanisms of skin lesion in SLE remain unclear. Patients and Methods Metabolome based on gas chromatography-mass spectrometry (GC-MS) was used for comparison of serum metabolism among 11 SLE patients with skin lesion (SL), 10 SLE patients without skin lesion (SNL), and 16 healthy controls (HC). The analysis of metabolism profiles was through LUG database, Human Metabolome Database (HMDB) as well as Kyoto Encyclopedia of Genes and Genomes (KEGG). Results A total of 14 most meaningful metabolites were found in SL patients compared to SNL patients, and 19 metabolic pathways were enriched. Meanwhile, L-alpha-aminobutyric acid, dehydroascorbic acid, glycine, and L-tyrosine achieved an area under receiver-operating characteristic (ROC) curve of 0.8636, 0.8091, 0.7727, and 0.7636, respectively, indicating their diagnostic potential for SL patients. In addition, the combined model of L-alpha-aminobutyric acid and dehydroascorbic acid provided better diagnostic accuracy. Conclusion The metabolomic features of SLE patients with skin lesion could be detected by GC/MS assay. Our study tried to provide new insights into the mechanism of SLE skin injury. Further validation of these findings through larger sample size studies may contribute to the use of metabolic profile analysis.

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1H NMR-based metabolomic study of metabolic profiling for pollinosis

Cited by 13 publications

References 32 publications

Comparative metabolomics analysis of bronchial epithelium during barrier establishment after allergen exposure

Comparative metabolomics analysis of bronchial epithelium during barrier establishment after allergen exposure

Airway Microbiome and Serum Metabolomics Analysis Identify Differential Candidate Biomarkers in Allergic Rhinitis

Identification of Serum Biomarkers and Pathways of Systemic Lupus Erythematosus with Skin Involvement Through GC/MS-Based Metabolomics Analysis

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