Surface-enhanced raman spectroscopy: A non invasive alternative procedure for early detection in childhood asthma biomarkers in saliva

Zamora-Mendoza, Blanca Nohemí; Espinosa‐Tanguma, Ricardo; Ramírez‐Elías, Miguel G.; Cabrera-Alonso, R.; Montero-Morán, Gabriela M.; Portales-Pérez, Diana Patricia; Rosales-Romo, J.A.; González, Javier; González, Carmen

doi:10.1016/j.pdpdt.2019.05.009

Cited by 38 publications

(25 citation statements)

References 33 publications

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“…Saliva is another promising body fluid for disease diagnosis and prognosis especially in children because it is noninvasive, simple and low-cost. Specific cytokine profiles in saliva have been associated with asthmatic phenotype [ 64 , 65 ]. A strong correlation between symptom control and salivary levels of eotaxin, IL-5 and IL-8 was reported in both children and adults with asthma [ 38 ].…”

Section: Biomarkersmentioning

confidence: 99%

The Predictive Role of Biomarkers and Genetics in Childhood Asthma Exacerbations

Palmo

Cantarelli

Catelli

et al. 2021

IJMS

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Asthma exacerbations are associated with significant childhood morbidity and mortality. Recurrent asthma attacks contribute to progressive loss of lung function and can sometimes be fatal or near-fatal, even in mild asthma. Exacerbation prevention becomes a primary target in the management of all asthmatic patients. Our work reviews current advances on exacerbation predictive factors, focusing on the role of non-invasive biomarkers and genetics in order to identify subjects at higher risk of asthma attacks. Easy-to-perform tests are necessary in children; therefore, interest has increased on samples like exhaled breath condensate, urine and saliva. The variability of biomarker levels suggests the use of seriate measurements and composite markers. Genetic predisposition to childhood asthma onset has been largely investigated. Recent studies highlighted the influence of single nucleotide polymorphisms even on exacerbation susceptibility, through involvement of both intrinsic mechanisms and gene-environment interaction. The role of molecular and genetic aspects in exacerbation prediction supports an individual-shaped approach, in which follow-up planning and therapy optimization take into account not only the severity degree, but also the risk of recurrent exacerbations. Further efforts should be made to improve and validate the application of biomarkers and genomics in clinical settings.

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Section: Biomarkersmentioning

confidence: 99%

The Predictive Role of Biomarkers and Genetics in Childhood Asthma Exacerbations

Palmo

Cantarelli

Catelli

et al. 2021

IJMS

View full text Add to dashboard Cite

show abstract

“…In addition, the size effect has more impact below n = 20 as the sensitivity and specificity values were very random, although the essential statistical parameters were considered in the evaluation for clinical utility. Consequently, other vs. studies using saliva, were not included in this review, due to a number of patients less than 20 per group, and concerning other diseases, such as burning mouth syndrome [ 41 ], asthma [ 42 ], Alzheimer’s disease [ 43 ], chronic renal failure [ 44 ], ovarian cancer [ 45 ], various infections, e.g., influenza [ 46 ] or pseudomonas [ 47 ], and cystic fibrosis [ 48 ]. Therefore, out of the 267 studies, only 18 satisfied the criteria according to the PRISMA guidelines.…”

Section: Discussionmentioning

confidence: 99%

Vibrational Spectroscopy Saliva Profiling as Biometric Tool for Disease Diagnostics: A Systematic Literature Review

et al. 2020

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Saliva is a biofluid that can be considered as a “mirror” reflecting our body’s health status. Vibrational spectroscopy, Raman and infrared, can provide a detailed salivary fingerprint that can be used for disease biomarker discovery. We propose a systematic literature review based on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines to evaluate the potential of vibrational spectroscopy to diagnose oral and general diseases using saliva as a biological specimen. Literature searches were recently conducted in May 2020 through MEDLINE-PubMed and Scopus databases, without date limitation. Finally, over a period of 10 years, 18 publications were included reporting on 10 diseases (three oral and seven general diseases), with very high diagnostic performance rates in terms of sensitivity, specificity, and accuracy. Thirteen articles were related to six different cancers of the following anatomical sites: mouth, nasopharynx, lung, esophagus, stomach, and breast. The other diseases investigated and included in this review were periodontitis, Sjögren’s syndrome, diabetes, and myocardial infarction. Moreover, most articles focused on Raman spectroscopy (n = 16/18) and more specifically surface-enhanced Raman spectroscopy (n = 12/18). Interestingly, vibrational spectroscopy appears promising as a rapid, label-free, and non-invasive diagnostic salivary biometric tool. Furthermore, it could be adapted to investigate subclinical diseases—even if developmental studies are required.

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“…These HS patients had comorbidities, more importantly than for other HS patients. These comorbidities corresponded to Crohn's disease, spondyloarthropathy, fibromyalgia or asthma and are likely to induce spectral confounding interferences with infrared markers of HS [16, 38, 42, 43]. Six of these seven misclassified HS patients presented also periodontal disease, while 28 patients of all HS patients (n = 41) had this inflammatory oral disease.…”

Section: Discussionmentioning

confidence: 99%

New insights into hidradenitis suppurativa diagnosis via salivary infrared biosignatures: A pilot study

Derruau

Gobinet

Untereiner

et al. 2020

Journal of Biophotonics

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Hidradenitis suppurativa (HS) is a chronic inflammatory skin disease which can lead to a prolonged physical disability. HS diagnosis is exclusively clinical with the absence of biomarkers. Our study aims at assessing the HS‐diagnostic potential of infrared spectroscopy from saliva, as a biofluid reflecting the body's pathophysiological state. Infrared spectra from 127 patients (57 HS and 70 non‐HS) were processed by multivariate methods: principal component analysis coupled with Kruskal–Wallis or Mann–Whitney tests to identify discriminant spectral wavenumbers and linear discriminant analysis to evaluate the performances of HS‐diagnostic approach. Infrared features, mainly in the 1300 cm−1‐1600 cm−1 region, were identified as discriminant for HS and prediction models revealed diagnostic performances of about 80%. Tobacco and obesity, two main HS risk factors, do not seem to alter the infrared diagnosis. This pilot study shows the potential of salivary “liquid biopsy” associated to vibrational spectroscopy to develop a personalized medical approach for HS patients' management.

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Surface-enhanced raman spectroscopy: A non invasive alternative procedure for early detection in childhood asthma biomarkers in saliva

Cited by 38 publications

References 33 publications

The Predictive Role of Biomarkers and Genetics in Childhood Asthma Exacerbations

The Predictive Role of Biomarkers and Genetics in Childhood Asthma Exacerbations

Vibrational Spectroscopy Saliva Profiling as Biometric Tool for Disease Diagnostics: A Systematic Literature Review

New insights into hidradenitis suppurativa diagnosis via salivary infrared biosignatures: A pilot study

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