Salivary ¹H NMR metabolic profiling of diabetic patients with and without periodontitis: an exploratory pilot study.
5 affiliations
- 1Dental Implants Research Center, Avicenna Institute of Clinical Sciences, Hamadan University of Medical Sciences, Hamadan, Iran.
- 2Student Research Committee, Hamadan University of Medical Sciences, Hamadan, Iran.
- 3Department of Endocrinology, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran.
- 4Research Center for Molecular Medicine, Institute of Cancer, Hamadan University of Medical Sciences, Hamadan, Iran. [email protected].
- 5Urology and Nephrology Research Center, Avicenna Institute of Clinical Sciences, Hamadan University of Medical Sciences, Hamadan, Iran. [email protected].
Abstract
Background
Periodontitis is a widespread chronic inflammatory condition that frequently coexists with diabetes mellitus (DM). Identifying non-invasive biomarkers is essential for early detection, targeted therapy, and better understanding of the bidirectional relationship between these two diseases. This study aimed to investigate salivary metabolomic profiles in diabetic individuals with and without periodontitis to identify candidate metabolites associated with periodontitis in patients with diabetes.Methods
This pilot study compared salivary ¹H NMR metabolomic profiles of patients with diabetes with and without periodontitis (n = 13 per group). Unstimulated whole saliva was collected from both groups. Partial least squares discriminant analysis (PLS-DA) was applied to differentiate between the groups. Spectral variables with VIP > 1 were selected for metabolite annotation, followed by metabolite set enrichment analysis (MSEA) to identify dysregulated metabolic pathways.Results
Using the PLS-DA model, a total of 78 discriminating variables were identified, leading to the annotation of ten key metabolites: glycolic acid, thymidine, tyramine, deoxyguanosine, cytidine, uridine, NADPH, ADP, serotonin, and nicotinate. MSEA revealed significant pathway disturbances, with pyrimidine metabolism emerging as a notably enriched pathway.Conclusion
The metabolomics study of saliva using ¹H NMR showed distinct metabolic disturbances, particularly in pyrimidine metabolism, in diabetic periodontitis. Although these altered metabolites could serve as potential candidates for non-invasive biomarkers, independent validation from a large cohort is still required before they can be translated into clinical diagnostic use.
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BibTeX
@article{vaziriamjad2026salivary,
title = {{Salivary ¹H NMR metabolic profiling of diabetic patients with and without periodontitis: an exploratory pilot study.}},
author = {Samaneh Vaziri-Amjad and Bahar Zalei and Nazli Rabienejad and Ali Golshaian and Amir Taherkhani},
journal = {Genomics \& informatics},
year = {2026},
month = oct,
doi = {10.1186/s44342-026-00085-4},
url = {https://europepmc.org/article/MED/42928235},
note = {CC BY},
}
RIS
TY - JOUR
TI - Salivary ¹H NMR metabolic profiling of diabetic patients with and without periodontitis: an exploratory pilot study.
AU - Samaneh Vaziri-Amjad
AU - Bahar Zalei
AU - Nazli Rabienejad
AU - Ali Golshaian
AU - Amir Taherkhani
PY - 2026
DA - 2026/10/26
JO - Genomics & informatics
DO - 10.1186/s44342-026-00085-4
UR - https://europepmc.org/article/MED/42928235
AB - Background Periodontitis is a widespread chronic inflammatory condition that frequently coexists with diabetes mellitus (DM). Identifying non-invasive biomarkers is essential for early detection, targeted therapy, and better understanding of the bidirectional relationship between these two diseases. This study aimed to investigate salivary metabolomic profiles in diabetic individuals with and without periodontitis to identify candidate metabolites associated with periodontitis in patients with diabetes.Methods This pilot study compared salivary ¹H NMR metabolomic profiles of patients with diabetes with and without periodontitis (n = 13 per group). Unstimulated whole saliva was collected from both groups. Partial least squares discriminant analysis (PLS-DA) was applied to differentiate between the groups. Spectral variables with VIP > 1 were selected for metabolite annotation, followed by metabolite set enrichment analysis (MSEA) to identify dysregulated metabolic pathways.Results Using the PLS-DA model, a total of 78 discriminating variables were identified, leading to the annotation of ten key metabolites: glycolic acid, thymidine, tyramine, deoxyguanosine, cytidine, uridine, NADPH, ADP, serotonin, and nicotinate. MSEA revealed significant pathway disturbances, with pyrimidine metabolism emerging as a notably enriched pathway.Conclusion The metabolomics study of saliva using ¹H NMR showed distinct metabolic disturbances, particularly in pyrimidine metabolism, in diabetic periodontitis. Although these altered metabolites could serve as potential candidates for non-invasive biomarkers, independent validation from a large cohort is still required before they can be translated into clinical diagnostic use.
SN - 1598-866X
SN - 2234-0742
ER -