Literature DB >> 25562547

FeNO as biomarker for asthma phenotyping and management.

Fabio L M Ricciardolo1, Valentina Sorbello, Giorgio Ciprandi.   

Abstract

The current review aims to revisit literature on exhaled nitric oxide (FeNO) in asthma phenotyping and management to clarify the utility of this test in clinical practice. It is increasingly evident that multiple profiles characterize asthma as a complex disease for which is necessary to find tools able to discriminate among these phenotypes to achieve the best therapeutic strategy for all asthmatic patients. Current findings indicate that FeNO, a noninvasive and easy-to-obtain biomarker, can be considered a useful tool in predicting asthma developing and exacerbation, in identifying specific asthma phenotypes, in improving asthma diagnosis and management in a selected population, and in monitoring efficacy of standard corticosteroid and biologic therapy. Based on this evidence, FeNO might become an appropriate tool for physicians to better define specific asthma phenotypes and to better deal with asthma worsening.

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Year:  2015        PMID: 25562547     DOI: 10.2500/aap.2015.36.3805

Source DB:  PubMed          Journal:  Allergy Asthma Proc        ISSN: 1088-5412            Impact factor:   2.587


  16 in total

1.  The asthma-chronic obstructive pulmonary disease overlap syndrome and its challenge for the allergist-immunologist.

Authors:  Joseph A Bellanti; Russell A Settipane
Journal:  Allergy Asthma Proc       Date:  2015 Jan-Feb       Impact factor: 2.587

2.  Augmentation of S-Nitrosoglutathione Controls Cigarette Smoke-Induced Inflammatory-Oxidative Stress and Chronic Obstructive Pulmonary Disease-Emphysema Pathogenesis by Restoring Cystic Fibrosis Transmembrane Conductance Regulator Function.

Authors:  Manish Bodas; David Silverberg; Kyla Walworth; Kathryn Brucia; Neeraj Vij
Journal:  Antioxid Redox Signal       Date:  2017-02-07       Impact factor: 8.401

3.  Moisture-resistant, stretchable NOx gas sensors based on laser-induced graphene for environmental monitoring and breath analysis.

Authors:  Li Yang; Guanghao Zheng; Yaoqian Cao; Chuizhou Meng; Yuhang Li; Huadong Ji; Xue Chen; Guangyu Niu; Jiayi Yan; Ye Xue; Huanyu Cheng
Journal:  Microsyst Nanoeng       Date:  2022-07-08       Impact factor: 8.006

Review 4.  Personalized Medicine in Allergy.

Authors:  Matteo Ferrando; Diego Bagnasco; Gilda Varricchi; Stefano Bernardi; Alice Bragantini; Giovanni Passalacqua; Giorgio Walter Canonica
Journal:  Allergy Asthma Immunol Res       Date:  2017-01       Impact factor: 5.764

5.  Serum BPI as a novel biomarker in asthma.

Authors:  Chen Xingyuan; Qiu Chen
Journal:  Allergy Asthma Clin Immunol       Date:  2020-06-18       Impact factor: 3.406

6.  Baicalein attenuates OVA-induced allergic airway inflammation through the inhibition of the NF-κB signaling pathway.

Authors:  Tingting Xu; Xiangting Ge; Chun Lu; Wei Dai; Hongjin Chen; Zhongxiang Xiao; Liqin Wu; Guang Liang; Songmin Ying; Yali Zhang; Yuanrong Dai
Journal:  Aging (Albany NY)       Date:  2019-11-06       Impact factor: 5.682

Review 7.  Approach to Patients with Severe Asthma: a Consensus Statement from the Respiratory Care Experts' Input Forum (RC-EIF), Iran.

Authors:  Khalil Ansarin; Davood Attaran; Hamidreza Jamaati; Mohammad Reza Masjedi; Hamidreza Abtahi; Ali Alavi; Masoud Aliyali; Amir Mohammad Hashem Asnaashari; Reza Farid-Hosseini; Seyyed Mohammad Ali Ghayumi; Hassan Ghobadi; Atabak Ghotb; Abolhassan Halvani; Abbas Nemati; Mohammad Hossein Rahimi Rad; Masoud Rahimian; Ramin Sami; Hamid Sohrabpour; Sasan Tavana; Mohammad Torabi-Nami; Parviz Vahedi
Journal:  Tanaffos       Date:  2015

8.  Effect of Inhaled Budesonide on Interleukin-4 and Interleukin-6 in Exhaled Breath Condensate of Asthmatic Patients.

Authors:  Chun-Hua Chi; Ji-Ping Liao; Yan-Ni Zhao; Xue-Ying Li; Guang-Fa Wang
Journal:  Chin Med J (Engl)       Date:  2016-04-05       Impact factor: 2.628

9.  Influence of the practice setting on diagnostic prediction rules using FENO measurement in combination with clinical signs and symptoms of asthma.

Authors:  Antonius Schneider; Gudrun Wagenpfeil; Rudolf A Jörres; Stefan Wagenpfeil
Journal:  BMJ Open       Date:  2015-11-24       Impact factor: 2.692

10.  Partial Least Squares Discriminant Analysis and Bayesian Networks for Metabolomic Prediction of Childhood Asthma.

Authors:  Rachel S Kelly; Michael J McGeachie; Kathleen A Lee-Sarwar; Priyadarshini Kachroo; Su H Chu; Yamini V Virkud; Mengna Huang; Augusto A Litonjua; Scott T Weiss; Jessica Lasky-Su
Journal:  Metabolites       Date:  2018-10-23
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