6533b7d0fe1ef96bd125aed2

RESEARCH PRODUCT

Using NMR in saliva to identify possible biomarkers of glioblastoma and chronic periodontitis

José Manuel Almerich-sillaAlberto García-villaescusaJosé María Montiel-companyDaniel Monleón-salvadóJosé M. González-darderCarlos Bellot-arcísJosé Manuel Morales-tatay

subject

Male0301 basic medicineSucroseSalivaMagnetic Resonance SpectroscopyPhysiologyAminobutyratelcsh:MedicineDisaccharidesSpectrum analysis techniquesBiochemistryGastroenterologychemistry.chemical_compoundGingivitis0302 clinical medicineOral DiseasesMedicine and Health SciencesMetabolitesCholineAmino Acidslcsh:ScienceAged 80 and overMultidisciplinaryOrganic CompoundsMiddle AgedBody FluidsChemistryPhysical SciencesFemaleAnatomymedicine.symptomResearch ArticleAdultmedicine.medical_specialtyProlineOral MedicineCarbohydratesYoung Adult03 medical and health sciencesNMR spectroscopyValineInternal medicinemedicineHumansSalivaPeriodontitisPeriodontal DiseasesAgedPeriodontitisbusiness.industrylcsh:ROrganic ChemistryChemical CompoundsCase-control studyBiology and Life SciencesProteinsCyclic Amino Acids030206 dentistrymedicine.diseaseChronic periodontitisResearch and analysis methodsMetabolism030104 developmental biologychemistryCase-Control StudiesChronic Periodontitislcsh:QPropionatesGlioblastomabusinessBiomarkers

description

Nowadays there is increasing interest in identifying-and using-metabolites that can be employed as biomarkers for diagnosing, treating and monitoring diseases. Saliva and NMR have been widely used for this purpose as they are fast and inexpensive methods. This case-control study aimed to find biomarkers that could be related to glioblastoma (GBL) and periodontal disease (PD) and studied a possible association between GBL and periodontal status. The participants numbered 130, of whom 10 were diagnosed with GBL and were assigned to the cases group, while the remaining 120 did not present any pathology and were assigned to the control group. On one hand, significantly increased (p < 0.05) metabolites were found in GBL group: leucine, valine, isoleucine, propionate, alanine, acetate, ethanolamine and sucrose. Moreover, a good tendency to separation between the two groups was observed on the scatterplot of the NMR. On the other hand, the distribution of the groups attending to the periodontal status was very similar and we didn´t find any association between GBL and periodontal status (Chi-Square 0.1968, p = 0.91). Subsequently, the sample as a whole (130 individuals) was divided into three groups by periodontal status in order to identify biomarkers for PD. Group 1 was composed of periodontally healthy individuals, group 2 had gingivitis or early periodontitis and group 3 had moderate to advanced periodontitis. On comparing periodontal status, a significant increase (p < 0.05) in certain metabolites was observed. These findings along with previous reports suggest that these could be used as biomarkers of a PD: caproate, isocaproate+butyrate, isovalerate, isopropanol+methanol, 4 aminobutyrate, choline, sucrose, sucrose-glucose-lysine, lactate-proline, lactate and proline. The scatter plot showed a good tendency to wards separation between group 1 and 3.

https://doi.org/10.1371/journal.pone.0188710