Raman spectroscopic characterisation of non stimulated and stimulated human whole saliva

Calado, Genecy; Behl, Isha; Byrne, Hugh J.; Lyng, Fiona M.

doi:10.1016/j.clispe.2021.100010

Cited by 11 publications

(10 citation statements)

References 51 publications

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“…Similar results have been reported by Ventura et al, who compared the protein levels in the stimulated and unstimulated saliva and found that the latter seems to have a better diagnostic value 64 . Similar observations have also been reported for stimulated and unstimulated saliva with respect to the microbiome and chemical analysis 65,66 …”

Section: Discussionsupporting

confidence: 86%

“… 64 Similar observations have also been reported for stimulated and unstimulated saliva with respect to the microbiome and chemical analysis. 65 , 66 …”

Section: Discussionmentioning

confidence: 99%

“…64 Similar observations have also been reported for F I G U R E 6 ROC plane curve for the salivary diagnosis of BC revealed the threshold effects between the pooled sensitivity and 1-specificity stimulated and unstimulated saliva with respect to the microbiome and chemical analysis. 65,66 As summarized in Table S2, the highest DOR with respect to the methodology was 152.50 for RT-qPCR technique, 53.330 for SERS methods, 20.044 for western blot, and 12.754 for ELISA, respectively. The lowest DOR of 3.486 was related to the Immunoassays method.…”

Section: Discussionmentioning

confidence: 99%

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Salivary biomarkers in breast cancer diagnosis: A systematic review and diagnostic meta‐analysis

et al. 2022

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Background Salivary diagnostics and their utility as a nonaggressive approach for breast cancer diagnosis have been extensively studied in recent years. This meta‐analysis assesses the diagnostic value of salivary biomarkers in differentiating between patients with breast cancer and controls. Methods We conducted a meta‐analysis and systematic review of studies related to salivary diagnostics published in PubMed, EMBASE, Scopus, Ovid, Science Direct, Web of Science (WOS), and Google Scholar. The articles were chosen utilizing inclusion and exclusion criteria, as well as assessing their quality. Specificity and sensitivity, along with negative and positive likelihood ratios (NLR and PLR) and diagnostic odds ratio (DOR), were calculated based on random‐ or fixed‐effects model. Area under the curve (AUC) and summary receiver‐operating characteristic (SROC) were plotted and evaluated, and Fagan's Nomogram was evaluated for clinical utility. Results Our systematic review and meta‐analysis included 14 papers containing 121 study units with 8639 adult subjects (4149 breast cancer patients and 4490 controls without cancer). The pooled specificity and sensitivity were 0.727 (95% CI: 0.713–0.740) and 0.717 (95% CI: 0.703–0.730), respectively. The pooled NLR and PLR were 0.396 (95% CI: 0.364–0.432) and 2.597 (95% CI: 2.389–2.824), respectively. The pooled DOR was 7.837 (95% CI: 6.624–9.277), with the AUC equal to 0.801. The Fagan's nomogram showed post‐test probabilities of 28% and 72% for negative and positive outcomes, respectively. We also conducted subgroup analyses to determine specificity, sensitivity, DOR, PLR, and NLR based on the mean age of patients (≤52 or >52 years old), saliva type (stimulated and unstimulated saliva), biomarker measurement method (mass spectrometry [MS] and non‐MS measurement methods), sample size (≤55 or >55), biomarker type (proteomics, metabolomics, transcriptomics and proteomics, and reagent‐free biophotonic), and nations. Conclusion Saliva, as a noninvasive biomarker, has the potential to accurately differentiate breast cancer patients from healthy controls.

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Section: Discussionsupporting

confidence: 86%

“… 64 Similar observations have also been reported for stimulated and unstimulated saliva with respect to the microbiome and chemical analysis. 65 , 66 …”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Salivary biomarkers in breast cancer diagnosis: A systematic review and diagnostic meta‐analysis

et al. 2022

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“…Not requiring spatial resolution, the applications of vibrational spectroscopy for quantitative analysis of metabolites in, and disease diagnostics based on biofluids [29] , [30] , [31] , [32] , including blood [16] , [33] , urine [34] and saliva [35] , [36] , [37] , [38] , [39] , have become increasingly prevalent over the past decade. Attenuated total reflection FTIR (ATR-FTIR) in particular has emerged as a potentially viable option for clinical translation, as a rapid clinical and/or point of care technique, although samples are usually measured in their dried state [40] , [41] .…”

Section: Vibrational Spectroscopymentioning

confidence: 99%

Contributions of vibrational spectroscopy to virology: A review

Chaudhary¹,

Jackson²,

Denning³

et al. 2022

Clinical Spectroscopy

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“…Raman spectroscopy can provide a biochemical fingerprint of these biological materials and allows molecular changes to be captured in a single test without the need for external dyes or labels. Many studies have shown the potential of Raman spectroscopy for non-invasive, objective detection of oral cancer and pre-cancer [9][10][11][12][13][14][15][16][17][18][19][20][21] but the majority of studies have been carried out on oral tissues [10,11]. Only a limited number of Raman microspectroscopy studies have focussed on brush biopsy [13][14][15][16][17][22][23][24] and saliva [11,19].…”

Section: Introductionmentioning

confidence: 99%

Identification of precancer oral lesions using minimally invasive sampling techniques and Raman microspectroscopy

Behl¹,

Calado²,

Flint³

et al. 2023

Optical Biopsy XXI: Toward Real-Time Spectroscopic Imaging and Diagnosis

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Background and aim:The gold standard diagnosis of oral pre-cancer/cancer is an invasive biopsy followed by a histological examination, which may present psychological trauma and risk of infection to patients. Moreover, multiple biopsies are often required to monitor precancer lesions' progression. With the aim of reducing the need for multiple biopsies, this study was undertaken to identify pre-cancerous lesions using minimally invasive brush biopsy and saliva samples, analysed by Raman spectroscopy. Method:In this study, brush biopsies and saliva samples were collected from healthy donors (n = 50) and from patients with dysplastic lesions (n = 50). Raman spectra were acquired from the nucleus and cytoplasm of each cell and from liquid saliva. Results:A discriminant analysis of brush biopsy samples indicated that dysplastic cells could be successfully differentiated from normal cells with 96% accuracy based on changes in lipid content, while a similar analysis of saliva samples achieved 86% accuracy, based on protein spectral changes. In addition, discrimination between high-grade and low-grade dysplasia was achieved with 80% accuracy using cell samples, and discrimination between dysplasia and oral squamous cell carcinoma was achieved with 75% accuracy using saliva samples. Conclusions:This study successfully demonstrated that Raman spectroscopy and minimally invasive brush biopsy and saliva samples could be used for the early detection of precancerous lesions and could have a role in monitoring patients with dysplasia, reducing the need for multiple biopsies.

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Raman spectroscopic characterisation of non stimulated and stimulated human whole saliva

Cited by 11 publications

References 51 publications

Salivary biomarkers in breast cancer diagnosis: A systematic review and diagnostic meta‐analysis

Salivary biomarkers in breast cancer diagnosis: A systematic review and diagnostic meta‐analysis

Contributions of vibrational spectroscopy to virology: A review

Identification of precancer oral lesions using minimally invasive sampling techniques and Raman microspectroscopy

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