Literature DB >> 33394183

Distinctive metabolic profiles between Cystic Fibrosis mutational subclasses and lung function.

Afshan Masood1, Minnie Jacob2, Xinyun Gu3, Mai Abdel Jabar3, Hicham Benabdelkamel1, Imran Nizami4, Liang Li3, Majed Dasouki2, Anas M Abdel Rahman5,6,7.   

Abstract

INTRODUCTION: Cystic fibrosis (CF) is a lethal multisystemic disease of a monogenic origin with numerous mutations. Functional defects in the cystic fibrosis transmembrane conductance receptor (CFTR) protein based on these mutations are categorised into distinct classes having different clinical presentations and disease severity.
OBJECTIVES: The present study aimed to create a comprehensive metabolomic profile of altered metabolites in patients with CF, among different classes and in relation to lung function.
METHODS: A chemical isotope labeling liquid chromatography-mass spectrometry metabolomics was used to study the serum metabolic profiles of young and adult CF (n = 39) patients and healthy controls (n = 30). Comparisons were made at three levels, CF vs. controls, among mutational classes of CF, between CF class III and IV, and correlated the lung function findings.
RESULTS: A distinctive metabolic profile was observed in the three analyses. 78, 20, and 13 significantly differentially dysregulated metabolites were identified in the patients with CF, among the different classes and between class III and IV, respectively. The significantly identified metabolites included amino acids, di-, and tri-peptides, glutathione, glutamine, glutamate, and arginine metabolism. The top significant metabolites include 1-Aminopropan-2-ol, ophthalmate, serotonin, cystathionine, and gamma-glutamylglutamic acid. Lung function represented by an above-average FEV1% level was associated with decreased glutamic acid and increased guanosine levels.
CONCLUSION: Metabolomic profiling identified alterations in different amino acids and dipeptides, involved in regulating glutathione metabolism. Two metabolites, 3,4-dihydroxymandelate-3-O-sulfate and 5-Aminopentanoic acid, were identified in common between the three anlayses and may represent as highly sensitive biomarkers for CF.

Entities:  

Keywords:  Cystic fibrosis; Cystic fibrosis transmembrane conductance regulator; FEV1%; Liquid chromatography-mass spectrometry; Metabolomics

Year:  2021        PMID: 33394183     DOI: 10.1007/s11306-020-01760-5

Source DB:  PubMed          Journal:  Metabolomics        ISSN: 1573-3882            Impact factor:   4.290


  42 in total

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Journal:  Food Funct       Date:  2014-08       Impact factor: 5.396

Review 2.  Cystic fibrosis: a clinical view.

Authors:  Carlo Castellani; Baroukh M Assael
Journal:  Cell Mol Life Sci       Date:  2016-10-05       Impact factor: 9.261

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Journal:  Nature       Date:  2005-08-31       Impact factor: 49.962

4.  Dried Blood Spot-Based Metabolomic Profiling in Adults with Cystic Fibrosis.

Authors:  Wafa Al-Qahtani; Mai Abdel Jabar; Afshan Masood; Minnie Jacob; Imran Nizami; Majed Dasouki; Anas M Abdel Rahman
Journal:  J Proteome Res       Date:  2020-05-06       Impact factor: 4.466

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6.  Biosynthesis of 5-aminopentanoic acid and 2-piperidone from cadaverine and 1-piperideine in mouse.

Authors:  P S Callery; L A Geelhaar
Journal:  J Neurochem       Date:  1984-12       Impact factor: 5.372

Review 7.  Consensus on the use and interpretation of cystic fibrosis mutation analysis in clinical practice.

Authors:  C Castellani; H Cuppens; M Macek; J J Cassiman; E Kerem; P Durie; E Tullis; B M Assael; C Bombieri; A Brown; T Casals; M Claustres; G R Cutting; E Dequeker; J Dodge; I Doull; P Farrell; C Ferec; E Girodon; M Johannesson; B Kerem; M Knowles; A Munck; P F Pignatti; D Radojkovic; P Rizzotti; M Schwarz; M Stuhrmann; M Tzetis; J Zielenski; J S Elborn
Journal:  J Cyst Fibros       Date:  2008-05       Impact factor: 5.482

8.  1-Piperideine as an in vivo precursor of the gamma-aminobutyric acid homologue 5-aminopentanoic acid.

Authors:  P S Callery; L A Geelhaar
Journal:  J Neurochem       Date:  1985-09       Impact factor: 5.372

9.  Chemical Isotope Labeling LC-MS for Monitoring Disease Progression and Treatment in Animal Models: Plasma Metabolomics Study of Osteoarthritis Rat Model.

Authors:  Deying Chen; Xiaoling Su; Nan Wang; Yunong Li; Hua Yin; Liang Li; Lanjuan Li
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Authors:  Jasmine Chong; Othman Soufan; Carin Li; Iurie Caraus; Shuzhao Li; Guillaume Bourque; David S Wishart; Jianguo Xia
Journal:  Nucleic Acids Res       Date:  2018-07-02       Impact factor: 16.971

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  2 in total

1.  Network Analysis to Identify Multi-Omic Correlations in the Lower Airways of Children With Cystic Fibrosis.

Authors:  John B O'Connor; Madison Mottlowitz; Monica E Kruk; Alan Mickelson; Brandie D Wagner; Jonathan Kirk Harris; Christine H Wendt; Theresa A Laguna
Journal:  Front Cell Infect Microbiol       Date:  2022-03-10       Impact factor: 6.073

2.  Transcriptome analysis of tumor-derived mesenchymal progenitor cells shows that CHST15 is a fibrosis regulator of retroperitoneal liposarcoma.

Authors:  Yang Sun; Fengjun Xiao; Huiyan Sun; Lin Zhang; Weida Chen; Li Du; Chengfeng Sun; Weiyuan Zhang; Qinqin Xu; Chengli Miao; Lisheng Wang
Journal:  Ann Transl Med       Date:  2022-03
  2 in total

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