Literature DB >> 27343949

An electronic nose may sniff out amyotrophic lateral sclerosis.

Silvano Dragonieri1, Vitaliano N Quaranta2, Pierluigi Carratu2, Teresa Ranieri2, Lorenzo Marra2, Giuseppina D'Alba2, Onofrio Resta2.   

Abstract

Amyothrophic lateral Sclerosis (ALS) is a neurodegenerative disease characterized by a progressive degeneration of the cortical and spinal motor neuron. Exhaled molecular profiles that have potential in the diagnosis of several respiratory and systemic diseases can be obtained by analyzing human breath with an electronic nose. We hypothesized that exhaled molecular profiling may discriminate well-characterized patients with ALS from controls. 20 ALS patients (age: 63.5±12.3), and 20 healthy controls (age: 58.1±4.4) participated in a cross-sectional study. A Tedlar bag was used to collect exhaled breath by using a validated method. Bags were then sampled by an electronic nose (Cyranose 320). Statistical analysis on sensor responses was performed off-line by principal component analysis, linear discriminant analysis and ROC curves. Breathprints from patients with ALS were discriminated from healthy controls (CVA: 75.0%; p=0.003; AUC 0.795). Based on our results, patients with ALS can be discriminated from healthy controls. This suggests that exhaled breath analysis has potential for screening and/or diagnosis of this neuromuscular disease.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Amyothropic lateral sclerosis; Electronic nose; Exhaled breath; Volatile organic compounds

Mesh:

Substances:

Year:  2016        PMID: 27343949     DOI: 10.1016/j.resp.2016.06.005

Source DB:  PubMed          Journal:  Respir Physiol Neurobiol        ISSN: 1569-9048            Impact factor:   1.931


  3 in total

1.  Pancreatic ductal adenocarcinoma and chronic pancreatitis may be diagnosed by exhaled-breath profiles: a multicenter pilot study.

Authors:  H I Uslu; A R Dölle; H M Dullemen; H Aktas; J J Kolkman; N G Venneman
Journal:  Clin Exp Gastroenterol       Date:  2019-08-14

2.  Detecting recurrent head and neck cancer using electronic nose technology: A feasibility study.

Authors:  Rens M G E van de Goor; Joey C A Hardy; Michel R A van Hooren; Bernd Kremer; Kenneth W Kross
Journal:  Head Neck       Date:  2019-04-23       Impact factor: 3.147

Review 3.  The electronic nose technology in clinical diagnosis: A systematic review.

Authors:  Mariana Valente Farraia; João Cavaleiro Rufo; Inês Paciência; Francisca Mendes; Luís Delgado; André Moreira
Journal:  Porto Biomed J       Date:  2019-07-22
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.