Updates and Original Case Studies Focused on the NMR-Linked Metabolomics Analysis of Human Oral Fluids Part III: Implementations for the Diagnosis of Non-Cancerous Disorders, Both Oral and Systemic
Grootveld et al.
The finding, in our words
This review discusses NMR-based salivary metabolomics for diagnosing non-cancerous oral and systemic diseases, highlighting non-invasive collection without clinical supervision. An original case study identifies salivary biomarkers that distinguish true pharyngitis from perceived illness through metabolic profiling and multivariate analysis.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
This narrative review finds that saliva is best suited to repeated neuroendocrine and metabolic measurements during exercise, sweat is most mature for electrolyte and sweat-rate monitoring with wearable compatibility, and exhaled breath offers access to volatile metabolism but remains instrumentally demanding. Each matrix requires matching to a defined clinical or exercise question with matrix-specific validation before translational use.
In a pilot study of 12 people, sleep deprivation altered saliva metabolites detectable by NMR spectroscopy, with scyllo-inositol showing promise as a fatigue biomarker for potential roadside testing. However, the three-minute cognitive test did not align with self-reported fatigue, and larger studies are needed before this could support decentralised fatigue screening.
Hamilton et al., Science & justice : journal of the Forensic Science Society (paywalled) · source ↗
Salivary tryptophan is significantly raised in HER2‑negative breast cancer and falls after tumour removal, correlating with aggressive disease features. This shows saliva can provide a non‑invasive metabolic marker for screening and monitoring breast cancer in decentralised 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.