Salivary Proteomics & Gene Expression Analysis: Applications in Orthodontics and Oral Health Care Research-A Pilot Project
Gandhi et al.
The finding, in our words
Longitudinal salivary proteomics and gene expression profiling identified over 1100 proteins and demonstrated significant temporary upregulation of osteopontin gene expression in response to an intraoral vibration device.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
Saliva is a validated diagnostic matrix for steroids, hormones, therapeutic drugs and drugs of abuse that can be collected non-invasively by patients at home. The review stresses that rigorous collection, handling and storage protocols are critical to prevent false results in decentralised settings.
Boroumand et al., Journal of separation science · source ↗
This review establishes that microsampling across blood, saliva, urine and stool matrices offers validated workflows and regulatory recognition for human biomonitoring comparable to conventional methods. It finds that these decentralised approaches enhance participant acceptability and enable screening in remote or low-resource settings.
In 20 adults, CRP measured in urine and saliva strongly correlated with serum CRP (Spearman rho 0.886) and was significantly elevated in participants with systemic inflammation compared with controls, suggesting these noninvasive matrices could replace venipuncture for monitoring inflammatory status in remote or at-home settings.
The Guangzhou Nutrition and Health Study integrates 14-day real-time continuous glucose monitoring with multi-omics data, including serum and faecal metabolomes, proteomes, and gut microbiome sequencing, to explore biomarkers and mechanisms of metabolic disease.
A scoping review of 52 studies found most were high-quality RCTs using CGM, metabolomics and microbiome analysis in endurance athletes, yet evidence linking these biomarkers to performance, recovery or long-term health remains insufficient. This gap between biomarker discovery and clinical validation must be closed before these decentralised tools can guide precision nutrition.