Improved preparation of nasal lavage fluid (NLF) as a noninvasive sample for proteomic biomarker discovery

Schoenebeck, Bodo; May, Caroline; Güldner, Christian; Respondek, Gesine; Mollenhauer, Brit; Hoeglinger, Guenter; Meyer, Helmut E.; Marcus, Katrin

doi:10.1016/j.bbapap.2015.01.015

Cited by 7 publications

(9 citation statements)

References 43 publications

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“…Although the nasal swab collection from the inferior turbinate might appear less representative of the respiratory tract for the study of lung pathologies, in comparison to the NLF this procedure overcomes the major drawbacks of NLF collection, which suffers from high amounts of blood serum proteins . Additionally, the use of hypertonic saline in NLF as washing solution if on one hand yields enhanced protein concentrations in NLF samples on the other leads to intense irritation of nasal mucosa and therefore to falsified results . We believe that soft swabbing, as adopted in our study, constitutes a simple tool for representative NF which can prevent vascular trauma and consequent contamination.…”

Section: Resultsmentioning

confidence: 95%

A rapid differential display analysis of nasal swab fingerprints to distinguish allergic from non‐allergic rhinitis subjects by mesoporous silica particles and MALDI‐TOF mass spectrometry

et al. 2017

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Discriminating different rhinitis cases can sometimes be difficult as the diagnostic criteria used to identify the various subgroups are not always unambiguous. The nasal fluid (NF) highly reflects the pathophysiology of these inflammatory diseases. However, its collection, as nasal lavage fluid, may cause discomfort. Due to the non-invasiveness and rapidity of collection, nasal swab might represent an alternative to overcome these problems and also an ideal source of biomarkers. In this study, we demonstrate that the combined use of mesoporous silica (MPS) with MALDI-TOF MS allows the rapid detection of differential nasal peptide profiles from nasal swabs of healthy (H), allergic rhinitis (AR) and non-allergic rhinitis (NAR) subjects. NF peptides from nasal swabs were captured by the mean of MPS then profiled by MALDI-TOF MS. As a proof-of-principle, we also explored the ability of our platform to discriminate between nasal swabs of patients with AR and NAR, and between these groups and H controls. Four peaks resulted differentially expressed between NAR and AR, two peaks discriminated AR from H while one peak segregated NAR from H group. Therefore, peptides selected and enriched by our platform could form a part of a diagnostic ''rhinomic'' profile of the allergic and non-allergic patients.

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Section: Resultsmentioning

confidence: 95%

A rapid differential display analysis of nasal swab fingerprints to distinguish allergic from non‐allergic rhinitis subjects by mesoporous silica particles and MALDI‐TOF mass spectrometry

et al. 2017

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“…Stool samples were collected into a stool specimen collector (MedAuxil) and collection tubes (Sarstedt), which were immediately flash‐frozen on dry ice. Nasal wash samples were collected as published by the application of 2 mL of a 0.9% NaCl solution. Samples were stored at –80 °C and shipped on dry ice.…”

Section: Methodsmentioning

confidence: 99%

The nasal and gut microbiome in Parkinson's disease and idiopathic rapid eye movement sleep behavior disorder

et al. 2017

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BackgroundIncreasing evidence connects the gut microbiota and the onset and/or phenotype of Parkinson's disease (PD). Differences in the abundances of specific bacterial taxa have been reported in PD patients. It is, however, unknown whether these differences can be observed in individuals at high risk, for example, with idiopathic rapid eye movement sleep behavior disorder, a prodromal condition of α‐synuclein aggregation disorders including PD.ObjectivesTo compare microbiota in carefully preserved nasal wash and stool samples of subjects with idiopathic rapid eye movement sleep behavior disorder, manifest PD, and healthy individuals.MethodsMicrobiota of flash‐frozen stool and nasal wash samples from 76 PD patients, 21 idiopathic rapid eye movement sleep behavior disorder patients, and 78 healthy controls were assessed by 16S and 18S ribosomal RNA amplicon sequencing. Seventy variables, related to demographics, clinical parameters including nonmotor symptoms, and sample processing, were analyzed in relation to microbiome variability and controlled differential analyses were performed.ResultsDifferentially abundant gut microbes, such as Akkermansia, were observed in PD, but no strong differences in nasal microbiota. Eighty percent of the differential gut microbes in PD versus healthy controls showed similar trends in idiopathic rapid eye movement sleep behavior disorder, for example, Anaerotruncus and several Bacteroides spp., and correlated with nonmotor symptoms. Metagenomic sequencing of select samples enabled the reconstruction of genomes of so far uncharacterized differentially abundant organisms.ConclusionOur study reveals differential abundances of gut microbial taxa in PD and its prodrome idiopathic rapid eye movement sleep behavior disorder in comparison to the healthy controls, and highlights the potential of metagenomics to identify and characterize microbial taxa, which are enriched or depleted in PD and/or idiopathic rapid eye movement sleep behavior disorder. © 2017 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society.

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“…Thin liquid layer containing peptides and proteins that contribute to host defense and other functions 67…”

Section: Figurementioning

confidence: 99%

A review of metabolomics approaches and their application in identifying causal pathways of childhood asthma

Turi

Romick-Rosendale

Ryckman

et al. 2018

Journal of Allergy and Clinical Immunology

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Because asthma is a disease that results from host-environment interactions, an approach that allows assessment of the effect of the environment on the host is needed to understand the disease. Metabolomics has appealing potential as an application to study pathways to childhood asthma development. The objective of this review is to provide an overview of metabolomics methods and their application to understanding host-environment pathways in asthma development. We reviewed recent literature on advances in metabolomics and their application to study pathways to childhood asthma development. We highlight the (1) potential of metabolomics in understanding the pathogenesis of disease and the discovery of biomarkers; (2) choice of metabolomics techniques, biospecimen handling, and data analysis; (3) application to studying the role of the environment on asthma development; (4) review of metabolomics applied to the outcome of asthma; (5) recommendations for application of metabolomics-based -omics data integration in understanding disease pathogenesis; and (6) limitations. In conclusion, metabolomics allows use of biospecimens to identify useful biomarkers and pathways involved in disease development and subsequently to inform a greater understanding of disease pathogenesis and endotypes and prediction of the clinical course of childhood asthma phenotypes.

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Improved preparation of nasal lavage fluid (NLF) as a noninvasive sample for proteomic biomarker discovery

Cited by 7 publications

References 43 publications

A rapid differential display analysis of nasal swab fingerprints to distinguish allergic from non‐allergic rhinitis subjects by mesoporous silica particles and MALDI‐TOF mass spectrometry

A rapid differential display analysis of nasal swab fingerprints to distinguish allergic from non‐allergic rhinitis subjects by mesoporous silica particles and MALDI‐TOF mass spectrometry

The nasal and gut microbiome in Parkinson's disease and idiopathic rapid eye movement sleep behavior disorder

A review of metabolomics approaches and their application in identifying causal pathways of childhood asthma

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