The aim of this study was to characterize the salivary metabolomic profile in adolescents with juvenile systemic lupus erythematosus (jSLE). A total of 24 adolescents with jSLE (15.92 ± 2.06 years) and 12 systemically healthy controls (15.25 ± 2.7 years) were included in the study. Participants underwent rheumatologic testing and periodontal examination, with the recording of plaque index (PI), probing depth (PD), clinical attachment level (CAL), and bleeding on probing index (BPI). Unstimulated whole saliva was collected from both groups and stored at -80 ºC. The salivary proton nuclear magnetic resonance (1H-NMR) spectra were acquired in a spectrometer operating at 500 MHz. Partial least squared discriminant analysis (PLS-DA) and orthogonal PLS-DA (O-PLS-DA) were used for statistical analysis. Mean CAL and PI were significantly increased in the group with jSLE (p < 0.01). Patients with jSLE presented a significantly different salivary metabolic profile (accuracy = 0.54; R2 = 0.86; Q2 = -0.293), significantly higher salivary levels of N-acetyl sugars, and significantly reduced levels of phenylalanine, glycine, taurine, hydroxybutyrate, and valerate compared with healthy controls (p < 0.05). It is suggested that the salivary metabolomic profile analyzed by 1H NMR in patients with jSLE presents a different fingerprint that the systemically healthy subjects. Integrating the variation of metabolites with the identification of the metabolic pathways involved seems to provide a better understanding of the influence of systemic disease on salivary metabolites.
Background/Objectives: Ulcerative colitis (UC) and Crohn’s disease (CD) are the usual clinical forms of inflammatory bowel disease (IBD). Changes in the oral microbiota, especially the presence of emerging fungi and herpesviruses, have been shown to worsen the clinical aspects of IBD. The aim of this study was to screen for emerging pathogens in the oral yeast microbiota and the presence of herpesvirus in IBD patients. Methods: Oral swabs of seven UC or CD patients were collected. The samples were plated on Sabouraud Dextrose Agar and subcultured on CHROMagar Candida and CHROMagar Candida Plus. Polyphasic taxonomy was applied and identified using molecular tools, such as MALDI-TOF MS and ITS partial sequencing. Multiplex qPCR was used to identify the herpesvirus. Results: The mean age was 38.67 ± 14.06 years, 57.14% were female, and two had diabetes. The CD patients presented with Rhodotorula mucilaginosa, Candida orthopsilosis and Kodamaea jinghongensis, while the UC patients presented with Cutaneotrichosporon dermatis, Candida glabrata, Candida lusitanea and Candida tropicalis. Two UC individuals had at least one herpesvirus. In the first individual, a co-detection of Herpes Simplex Virus 1 (HSV-1) and C. lusitaniae was observed. The second presented with co-infections of Epstein–Barr virus (EBV), Human Herpesvirus 7 (HHV-7) and C. tropicalis. Conclusions: We identified rarely described yeasts and co-infections in IBD patients, highlighting the need to identify emerging pathogens in the oral microbiota, as they may contribute to opportunistic infections.
Over the past two decades, inflammation has been recognized as an additional risk indicator for head and neck cancer (HNC). Periodontal diseases, including gingivitis and periodontitis, may contribute to cancer development; however, few studies have incorporated comprehensive clinical periodontal assessments when investigating their association with HNC. This article emphasizes the importance of monitoring periodontal disease in patients with head and neck cancer and explores possible correlations between these conditions. Given the limited evidence available, further studies using gold-standard periodontal examinations in HNC patients are needed, especially studies performing full periodontal examinations and reporting data using the Full-mouth MB-B-D partial protocol. The parallel presentation of both assessment methods would facilitate methodological comparisons, improve the consistency of periodontal data, and support comparisons across different populations. This approach may strengthen the evidence for periodontal disease as a potential predictive risk factor for the development and progression of head and neck cancer.