Diagnostic Biomarkers of Alzheimer’s Disease as Identified in Saliva using 1H NMR-Based Metabolomics

Yılmaz, Ali; Geddes, Timothy J.; Han, Byoung-Sung; Wilson, George D.; Imam, Khaled; Maddens, Michael; Graham, Stewart F.

doi:10.3233/jad-161226

Cited by 116 publications

(73 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Despite the higher sensitivity of MS-based methods, NMR enables simpler sample preparation and faster, non-destructive (i.e., samples may be recovered for subsequent analysis by other methods) and more reproducible analysis (Emwas et al, 2013;Gil & Duarte, 2018). Following on blood/urine metabolomics (Duarte, Rocha, & Gil, 2013;Pinto et al, 2016), saliva has shown promising results regarding several pathologies (Yilmaz et al, 2017;Zhang et al, 2014), including periodontal disease in adults (Barnes et al, 2011;Giannobile, 2012). In addition, metabolomics of adults' saliva has addressed intra-and inter-individual variability and the effects of gender and stimulation (Dame et al, 2015;Neyraud, Tremblay-Franco, Gregoire, Berdeaux, & Canlet, 2013;Silwood, Lynch, Claxson, & Grootveld, 2002;Takeda et al, 2009).…”

mentioning

confidence: 99%

Saliva NMR metabolomics: Analytical issues in pediatric oral health research

et al. 2019

View full text Add to dashboard Cite

Objectives Saliva metabolome is a promising diagnostic tool concerning oral and systemic diseases. We aimed at establishing a suitable protocol for saliva collection and gauging the relative impacts of gender, dentition stage, and caries on the saliva metabolome of a small children cohort. Subjects and methods A nuclear magnetic resonance‐based metabolomics cross‐sectional study of children saliva (n = 38) compared the effects of: (a) stimulation and unstimulation conditions, and (b) collection through passive drool and using an absorbing device. Multivariate and univariate statistical analyses were applied to evaluate such effects and those related to gender, dentition stage and caries. Results No significant differences were found between unstimulated and stimulated saliva, and the former was used for subsequent studies. Swab collection induced significant changes in sample composition, indicating passive drool as preferential. The impacts of gender and dentition stage were not significant compared to that of caries, which induced variations in the levels of 21 metabolites. These comprised amino acids and monosaccharides observed for the first time to our knowledge regarding children caries, suggesting protein hydrolysis and deglycosylation. Conclusions Unstimulated passive drool saliva metabolome may carry a caries signature.

show abstract

mentioning

confidence: 99%

Saliva NMR metabolomics: Analytical issues in pediatric oral health research

et al. 2019

View full text Add to dashboard Cite

show abstract

“…However, further experiments with larger sample sizes and those that involve the implementation of this experimental method for the potential detection of other neurological conditions, such as MCI and Parkinson's disease, are pending. Another study successfully profiled saliva metabolites obtained from normal, MCI, and AD subjects with 1 H NMR metabolomics 75 . Although this field of research has only recently emerged, the development of reliable and sensitive salivary biomarkers would be significant as an early periodic screening tool for those susceptible to AD.…”

Section: Oral Fluidsmentioning

confidence: 99%

“…Commercial ELISA Salivary Aβ42 is significantly elevated in AD patients [72][73][74] Metabolites NMR spectroscopy There are several candidate AD biomarkers in saliva 75,92 Ocular Aβ FLES Ocular Aβ levels correlate with quantitative PET and predict AD 93 Ocular-retina…”

Section: Aβ42mentioning

confidence: 99%

Diagnosis of Alzheimer’s disease utilizing amyloid and tau as fluid biomarkers

et al. 2019

View full text Add to dashboard Cite

Current technological advancements in clinical and research settings have permitted a more intensive and comprehensive understanding of Alzheimer’s disease (AD). This development in knowledge regarding AD pathogenesis has been implemented to produce disease-modifying drugs. The potential for accessible and effective therapeutic methods has generated a need for detecting this neurodegenerative disorder during early stages of progression because such remedial effects are more profound when implemented during the initial, prolonged prodromal stages of pathogenesis. The aggregation of amyloid-β (Aβ) and tau isoforms are characteristic of AD; thus, they are considered core candidate biomarkers. However, research attempting to establish the reliability of Aβ and tau as biomarkers has culminated in an amalgamation of contradictory results and theories regarding the biomarker concentrations necessary for an accurate diagnosis. In this review, we consider the capabilities and limitations of fluid biomarkers collected from cerebrospinal fluid, blood, and oral, ocular, and olfactory secretions as diagnostic tools for AD, along with the impact of the integration of these biomarkers in clinical settings. Furthermore, the evolution of diagnostic criteria and novel research findings are discussed. This review is a summary and reflection of the ongoing concerted efforts to establish fluid biomarkers as a diagnostic tool and implement them in diagnostic procedures.

show abstract

“…In general related to body fluids, future studies are warranted combining proteomics, metabolomics [39] and genomic evaluations with large cohorts.…”

Section: Saliva Biomarkersmentioning

confidence: 99%

Specific protein biomarker patterns for Alzheimer’s disease: improved diagnostics in progress

Gozes

2017

EPMA Journal

View full text Add to dashboard Cite

This short review looks at Alzheimer's disease (AD) diagnosis through my own point of view, going from imaging through cerebrospinal fluid to blood proteins. Over the last couple of years, we have published two papers targeted at Alzheimer's diagnosis. In one paper, we took an approach of selecting a specific target, namely, activitydependent neuroprotective protein (ADNP), and our results tightened the association of ADNP blood expression with intelligence. In another paper, we took an unbiased approach of analysis of all genes expressed in lymphoblastoid cells lines and discovered changes in expression of the regulator of G-protein signaling 2 (RGS2) as a potential AD predictor. This review will assess our data in comparison to selected independent studies focusing on blood protein biomarkers as well as assessing saliva and urine samples with potential predictive value for AD. Furthermore, the review will provide directions for a combination of innovative markers, stratifying the population toward disease prevention and personalized medicine.

show abstract

Diagnostic Biomarkers of Alzheimer’s Disease as Identified in Saliva using 1H NMR-Based Metabolomics

Cited by 116 publications

References 24 publications

Saliva NMR metabolomics: Analytical issues in pediatric oral health research

Saliva NMR metabolomics: Analytical issues in pediatric oral health research

Diagnosis of Alzheimer’s disease utilizing amyloid and tau as fluid biomarkers

Specific protein biomarker patterns for Alzheimer’s disease: improved diagnostics in progress

Contact Info

Product

Resources

About