In Wolfram syndrome (WFS), due to the loss of wolframin function, there is increased ER stress and, as a result, progressive neurodegenerative disorders, accompanied by insulin-dependent diabetes. The aim of the study was to evaluate the oral microbiome and metabolome in WFS patients compared with patients with type 1 diabetes mellitus (T1DM) and controls. The buccal and gingival samples were collected from 12 WFS patients, 29 HbA1c-matched T1DM patients (p = 0.23), and 17 healthy individuals matched by age (p = 0.09) and gender (p = 0.91). The abundance of oral microbiota components was obtained by Illumina sequencing the 16S rRNA gene, and metabolite levels were measured by gas chromatography–mass spectrometry. Streptococcus (22.2%), Veillonella (12.1%), and Haemophilus (10.8%) were the most common bacteria in the WFS patients, while comparisons between groups showed significantly higher abundance of Olsenella, Dialister, Staphylococcus, Campylobacter, and Actinomyces in the WFS group (p < 0.001). An ROC curve (AUC = 0.861) was constructed for the three metabolites that best discriminated WFS from T1DM and controls (acetic acid, benzoic acid, and lactic acid). Selected oral microorganisms and metabolites that distinguish WFS patients from T1DM patients and healthy individuals may suggest their possible role in modulating neurodegeneration and serve as potential biomarkers and indicators of future therapeutic strategies.

Background Intellectual disability (ID) affects 1–3% of the world population. The number of genes whose dysfunctions cause intellectual disability is increasing. In addition, new gene associations are constantly being discovered, as well as specific phenotypic features for already identified genetic alterations are being described. The aim of our study was to search for pathogenic variants in genes responsible for moderate to severe intellectual disability and epilepsy, using a panel of targeted next-generation sequencing (tNGS) for diagnosis. Methods The group of 73 patients (ID, n=32; epilepsy, n=21; ID and epilepsy, n=18) was enrolled in the nucleus DNA (nuDNA) study using a tNGS panel (Agilent Technologies, USA). In addition, high coverage mitochondrial DNA (mtDNA) was extracted from the tNGS data for 54 patients. Results Fifty-two rare nuDNA variants, as well as 10 rare and 1 novel mtDNA variants, were found in patients in the study group. The 10 most damaging nuDNA variants were subjected to a detailed clinical analysis. Finally, 7 nuDNA and 1 mtDNA were found to be the cause of the disease. Conclusions This shows that still a very large proportion of patients remain undiagnosed and may require further testing. The reason for the negative results of our analysis may be a non-genetic cause of the observed phenotypes or failure to detect the causative variant in the genome. In addition, the study clearly shows that analysis of the mtDNA genome is clinically relevant, as approximately 1% of patients with ID may have pathogenic variant in mitochondrial DNA.