Literature DB >> 17130178

Potential utility of plasma fatty acid analysis in the diagnosis of cystic fibrosis.

Ibrahim Batal1, Mhd-Bassel Ericsoussi, Joanne E Cluette-Brown, Brian P O'Sullivan, Steven D Freedman, Juanito E Savaille, Michael Laposata.   

Abstract

BACKGROUND: An altered distribution of fatty acids in cells and tissues is found in patients with cystic fibrosis (CF). In this study, we assessed the potential role of plasma fatty acid analysis in the diagnosis of CF.
METHODS: In this 2-part study, we first used gas chromatography-mass spectrometry to analyze fatty acids in plasma from 13 CF patients and 11 controls without CF. We then used the fatty acid distribution data to identify the fatty acids or multiple fatty acid calculations most effective in identifying CF patients. Part 2 of the study was a blinded analysis of 10 CF patients and 9 controls to directly test the effectiveness of the diagnostic parameters for CF identified from the plasma fatty acid analysis.
RESULTS: In the nonblinded trial, the multiplication product of (18:2 n-6) x (22:6 n-3) (each as percentage of total plasma fatty acid) was the most effective indicator for distinguishing patients with CF from controls (P = 0.0003). In part 2 (the blinded trial), this multiplication product was also the most effective indicator for distinguishing CF patients from controls (P = 0.0008).
CONCLUSIONS: The product of (18:2 n-6) x (22:6 n-3) is effective for distinguishing CF patients from persons without CF. This diagnostic marker may have value as an alternative to the sweat chloride test in selected patients being evaluated for CF.

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Year:  2006        PMID: 17130178     DOI: 10.1373/clinchem.2006.077008

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  9 in total

1.  Abnormal n-6 fatty acid metabolism in cystic fibrosis is caused by activation of AMP-activated protein kinase.

Authors:  Obi C Umunakwe; Adam C Seegmiller
Journal:  J Lipid Res       Date:  2014-05-24       Impact factor: 5.922

2.  The effects of ivacaftor on CF fatty acid metabolism: An analysis from the GOAL study.

Authors:  Michael Glenn O'Connor; Adam Seegmiller
Journal:  J Cyst Fibros       Date:  2016-07-26       Impact factor: 5.482

3.  Elevated prostaglandin E metabolites and abnormal plasma fatty acids at baseline in pediatric cystic fibrosis patients: a pilot study.

Authors:  Michael Glenn O'Connor; Kelly Thomsen; Rebekah F Brown; Michael Laposata; Adam Seegmiller
Journal:  Prostaglandins Leukot Essent Fatty Acids       Date:  2016-08-27       Impact factor: 4.006

4.  Transgenic expression of n-3 fatty acid desaturase (fat-1) in C57/BL6 mice: Effects on glucose homeostasis and body weight.

Authors:  Shaonin Ji; Robert W Hardy; Philip A Wood
Journal:  J Cell Biochem       Date:  2009-07-01       Impact factor: 4.429

5.  A mechanism accounting for the low cellular level of linoleic acid in cystic fibrosis and its reversal by DHA.

Authors:  M Rabie Al-Turkmani; Charlotte Andersson; Ragheed Alturkmani; Waddah Katrangi; Joanne E Cluette-Brown; Steven D Freedman; Michael Laposata
Journal:  J Lipid Res       Date:  2008-05-14       Impact factor: 5.922

6.  DeltaF508 CFTR Hetero- and Homozygous Paediatric Patients with Cystic Fibrosis Do Not Differ with Regard to Nutritional Status.

Authors:  Aleksandra Mędza; Katarzyna Kaźmierska; Bartosz Wielgomas; Lucyna Konieczna; Ilona Olędzka; Agnieszka Szlagatys-Sidorkiewicz; Katarzyna Sznurkowska
Journal:  Nutrients       Date:  2021-04-21       Impact factor: 5.717

7.  ADEMA: an algorithm to determine expected metabolite level alterations using mutual information.

Authors:  A Ercument Cicek; Ilya Bederman; Leigh Henderson; Mitchell L Drumm; Gultekin Ozsoyoglu
Journal:  PLoS Comput Biol       Date:  2013-01-17       Impact factor: 4.475

Review 8.  Abnormal unsaturated fatty acid metabolism in cystic fibrosis: biochemical mechanisms and clinical implications.

Authors:  Adam C Seegmiller
Journal:  Int J Mol Sci       Date:  2014-09-11       Impact factor: 5.923

9.  Lessons learned from metabolomics in cystic fibrosis.

Authors:  Marianne S Muhlebach; Wei Sha
Journal:  Mol Cell Pediatr       Date:  2015-10-20
  9 in total

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