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SAL_16123 details
Primary information
SALIDSAL_16123
Biomarker nameAcetate
Biomarker TypeNA
Sampling MethodAbout 10 nonverbal pediatric patients with Cerebral Palsy
Collection MethodApproximately 3 mL of unstimulated (i.e., passively collected) saliva was procured.
Analysis MethodH-NMR
Collection SiteWhole Saliva
Disease CategoryOther
Disease/ConditionPain
Disease SubtypeNA
Fold Change/ ConcentrationNA
Up/DownregulatedNA
ExosomalNA
OrganismHomo sapiens
PMID25234580
Year of Publication2014
Biomarker ID175
Biomarker CategoryMetabolite
SequenceCC(=O)[O-]
Title of studyCan biomarkers differentiate pain and no pain subgroups of nonverbal children with cerebral palsy? A preliminary investigation based on noninvasive saliva sampling
Abstract of studyOBJECTIVE: Assessing and treating pain in nonverbal children with developmental disabilities are a clinical challenge. Current assessment approaches rely on clinical impression and behavioral rating scales completed by proxy report. Given the growing health relevance of the salivary metabolome, we undertook a translational-oriented feasibility study using proton nuclear magnetic resonance (NMR) spectroscopy and neuropeptide/cytokine/hormone detection to compare a set of salivary biomarkers relevant to nociception.DESIGN: Within-group observational design.SETTING: Tertiary pediatric rehabilitation hospital.SUBJECTS: Ten nonverbal pediatric patients with cerebral palsy with and without pain.METHODS: Unstimulated (passively collected) saliva was collected using oral swabs followed by perchloric acid extraction and analyzed on a Bruker Avance 700 MHz NMR spectrometer. We also measured salivary levels of several cytokines, chemokines, hormones, and neuropeptides.RESULTS: Partial least squares discriminant analysis showed separation of those children with/without pain for a number of different biomarkers. The majority of the salivary metabolite, neuropeptide, cytokine, and hormone levels were higher in children with pain vs no pain.CONCLUSIONS: The ease of collection and noninvasive manner in which the samples were collected and analyzed support the possibility of the regular predictive use of this novel biomarker-monitoring method in clinical practice.