Proof of concept for identifying cystic fibrosis from perspiration samples

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Abstract

The gold standard for cystic fibrosis (CF) diagnosis is the determination of chloride concentration in sweat. Current testing methodology takes up to 3 h to complete and has recognized shortcomings on its diagnostic accuracy. We present an alternative method for the identification of CF by combining desorption electrospray ionization mass spectrometry and a machine-learning algorithm based on gradient boosted decision trees to analyze perspiration samples. This process takes as little as 2 min, and we determined its accuracy to be 98 ± 2% by cross-validation on analyzing 277 perspiration samples. With the introduction of statistical bootstrap, our method can provide a confidence estimate of our prediction, which helps diagnosis decision-making. We also identified important peaks by the feature selection algorithm and assigned the chemical structure of the metabolites by high-resolution and/or tandem mass spectrometry. We inspected the correlation between mild and severe CFTR gene mutation types and lipid profiles, suggesting a possible way to realize personalized medicine with this noninvasive, fast, and accurate method.

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Effect of genotype on phenotype and mortality in cystic fibrosis: a retrospective cohort study.

Nadia Emerson, Edward McKone, Samuel Aitken … (2003)

Over 1000 mutations of the cystic fibrosis transmembrane conductance regulator gene (CFTR) that cause cystic fibrosis have been identified. We examined the effect of CFTR genotype on mortality and disease phenotype. Using the US Cystic Fibrosis Foundation National Registry, we did a retrospective cohort study to compare standardised mortality rates for the 11 most common genotypes heterozygous for DeltaF508 with those homozygous for DeltaF508. Of the 28455 patients enrolled in the registry at the time of our analysis, 17853 (63%) were genotyped. We also compared the clinical phenotype, including lung function, age at diagnosis, and nutritional measures, of 22 DeltaF508 heterozygous genotypes. Mortality rates and clinical phenotype were also compared between genotypes classified into six classes on the basis of their functional effect on CFTR production. Between 1991 and 1999, genetic and clinical data were available for 17853 patients with cystic fibrosis, which was 63% of the total cohort. There were 1547 deaths during the 9 years of follow-up. In the analysis of the 11 most common genotypes, DeltaF508/R117H, DeltaF508/DeltaI507, DeltaF508/3849+10kbC-->T, and DeltaF508/2789+5G-->A had a significantly lower mortality rate (4.7, 8.0, 11.9, and 4.4, respectively) than the genotype homozygous for DeltaF508 (21.8, p=0.0060). DeltaF508/R117H, DeltaF508/DeltaI507, DeltaF508/ 3849+10 kbC-->T, DeltaF508/2789+5G-->A, and DeltaF508/A455E have a milder clinical phenotype. Outcomes for all functional classes were compared with that of class II (containing DeltaF508 homozygotes) and classes IV and V had a significantly lower mortality rate and milder clinical phenotype. Patients with cystic fibrosis have distinct genetic subgroups that are associated with mild clinical manifestations and low mortality. These differences in phenotype are also related to the functional classification of CFTR genotype.

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Lipid and metabolite profiles of human brain tumors by desorption electrospray ionization-MS.

Alan Jarmusch, Valentina Pirro, Zane Baird … (2016)

Examination of tissue sections using desorption electrospray ionization (DESI)-MS revealed phospholipid-derived signals that differ between gray matter, white matter, gliomas, meningiomas, and pituitary tumors, allowing their ready discrimination by multivariate statistics. A set of lower mass signals, some corresponding to oncometabolites, including 2-hydroxyglutaric acid and N-acetyl-aspartic acid, was also observed in the DESI mass spectra, and these data further assisted in discrimination between brain parenchyma and gliomas. The combined information from the lipid and metabolite MS profiles recorded by DESI-MS and explored using multivariate statistics allowed successful differentiation of gray matter (n = 223), white matter (n = 66), gliomas (n = 158), meningiomas (n = 111), and pituitary tumors (n = 154) from 58 patients. A linear discriminant model used to distinguish brain parenchyma and gliomas yielded an overall sensitivity of 97.4% and a specificity of 98.5%. Furthermore, a discriminant model was created for tumor types (i.e., glioma, meningioma, and pituitary), which were discriminated with an overall sensitivity of 99.4% and a specificity of 99.7%. Unsupervised multivariate statistics were used to explore the chemical differences between anatomical regions of brain parenchyma and secondary infiltration. Infiltration of gliomas into normal tissue can be detected by DESI-MS. One hurdle to implementation of DESI-MS intraoperatively is the need for tissue freezing and sectioning, which we address by analyzing smeared biopsy tissue. Tissue smears are shown to give the same chemical information as tissue sections, eliminating the need for sectioning before MS analysis. These results lay the foundation for implementation of intraoperative DESI-MS evaluation of tissue smears for rapid diagnosis.

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Multiple-breath washout as a marker of lung disease in preschool children with cystic fibrosis.

John Stroobant, , Janet Stocks … (2005)

Sensitive measures of lung function applicable to young subjects are needed to detect early cystic fibrosis (CF) lung disease. Forty children with CF aged 2 to 5 years and 37 age-matched healthy control subjects performed multiple-breath inert gas washout, plethysmography, and spirometry. Thirty children in each group successfully completed all measures, with success on first visit being between 68 and 86% for all three measures. Children with CF had significantly higher lung clearance index (mean [95% CI] difference for CF control 2.7 [1.9, 3.6], p < 0.001) and specific airway resistance (1.65 z-scores [0.96, 2.33], p < 0.001), and significantly lower forced expired volume in 0.5 seconds (-0.49 z-scores [-0.95, -0.03], p < 0.05). Abnormal lung function results were identified in 22 (73%) of 30 children with CF by multiple-breath washout, compared with 14 (47%) of 30 by plethysmography, and 4 (13%) of 30 by spirometry. Children with CF who were infected with Pseudomonas aeruginosa had significantly higher lung clearance index, but no significant difference in other lung function measures, when compared with noninfected children. Most preschool children can perform multiple-breath washout, plethysmography, and spirometry at first attempt. Multiple-breath washout detects abnormal lung function in children with CF more readily than plethysmography or spirometry.