Distinct oral DNA viral signatures in rheumatoid arthritis: a Pilot study.

Background: Despite evidence linking viruses and oral microbiome to rheumatoid arthritis (RA), limited whole genome sequencing research has been conducted on the oral virome (a viral component of the microbiome) of untreated RA patients. This pilot research seeks to address this knowledge gap by comparing the oral virome of untreated rheumatoid arthritis patients (RAs) and healthy individuals (HCs). Method: Whole genome DNA sequence of saliva samples from 45 participants including 21 RAs and 24 age and gender matched HCs was obtained from the BioProject: PRJEB6997. Metaphlan3 pipeline and LEfSe analysis were used for the viral signature detection. Wilcoxon pairwise test and ROC analysis were used to validate and predict signatures. Results: RA exhibits higher alpha diversity compared to HCs. Callitrichine gammaherpesvirus 3, Human gammaherpesvirus 4 (EBV), Murid betaherpesvirus 8, and Suid alphaherpesvirus 1 were enriched in RAs, while Aotine betaherpesvirus 1 from the Cytomegalovirus genus was enriched in HCs. In addition, Saccharomyces cerevisiae killer virus M1 (ScV-M1) was found to be enriched in RAs, whereas bacteriophage Hk97virus (Siphoviridae) and Cd119virus (Myoviridae) were enriched in HCs. Conclusion: This study identifies significant DNA oral viral signatures at species level as potential biomarkers for the early detection and diagnosis of rheumatoid arthritis.

Exploring the interplay between antiretroviral therapy and the gut-oral microbiome axis in people living with HIV.

The gut and oral microbiome is altered in people living with HIV (PLWH). While antiretroviral treatment (ART) is pivotal in restoring immune function in PLWH, several studies have identified an association between specific antiretrovirals, particularly integrase inhibitors (INSTI), and weight gain. In our study, we explored the differences in the oral and gut microbiota of PLWH under different ART regimens, and its correlation to Body Mass Index (BMI). Fecal and salivary samples were collected from PLWH (n = 69) and healthy controls (HC, n = 80). We performed taxonomy analysis to determine the microbial composition and relationship between microbial abundance and ART regimens, BMI, CD4+T-cell count, CD4/CD8 ratio, and ART duration. PLWH showed significantly lower richness compared to HC in both the oral and gut environment. The gut microbiome composition of INSTI-treated individuals was enriched with Faecalibacterium and Bifidobacterium, whereas non-nucleotide reverse transcriptase inhibitor (NNRTI)-treated individuals were enriched with Gordonibacter, Megasphaera, and Staphylococcus. In the oral microenvironment, Veillonella was significantly more abundant in INSTI-treated individuals and Fusobacterium and Alloprevotella in the NNRTI-treated individuals. Furthermore, Bifidobacterium and Dorea were enriched in gut milieu of PLWH with high BMI. Collectively, our findings identify distinct microbial profiles, which are associated with different ART regimens and BMI in PLWH on successful ART, thereby highlighting significant effects of specific antiretrovirals on the microbiome.

Unveiling the Human Brain Virome in Brodmann Area 46: Novel Insights Into Dysbiosis and Its Association With Schizophrenia.

Research suggests a potential role of the oral-neuro and gut-brain axes in schizophrenia, involving non-brain microbiomes such as salivary and gut microbiomes. However, the blood-brain barrier effectively prevents microorganism entry. Additionally, despite approximately 8% of the human genome consisting of retroviruses and the established link between viral infections and schizophrenia, the presence of a resident virome (a viral component of the microbiome) in the brain and its association with mental disorders remain unexplored. METHODS: Whole-genome sequencing raw data from postmortem Brodmann Area 46 (BA46) tissue from 49 individuals (20 healthy controls [HCs], 29 with schizophrenia [SCZs]) obtained from the NCBI SRA database from BioProject: PRJNA422380.Virome profiles were retrieved using Metaphlan3, and viral signatures were identified using linear discriminant analysis effect size (LEfSe). Mann-Whitney tests and receiver operating characteristic curve validated the viral signatures. RESULTS: In BA46, 30 distinct species representing 9 phyla, 10 classes, 10 orders, 13 families, and 19 genera were identified. HCs exhibited greater alpha diversity, and there were significant differences in beta diversity between the groups. LEfSe analysis highlighted distinct viral levels, including Escherichia virus Lambda, Escherichia virus phiV10, Human endogenous retrovirus K, Taterapox virus, Alcelaphine gammaherpesvirus 1, and Bovine gammaherpesvirus 4 in HCs, while Glypta fumiferanae ichnovirus and unknown virus showed higher levels in schizophrenia. CONCLUSION: This is the first study to identify a human brain virome associated with schizophrenia in BA46. Brain virome dysbiosis may be associated with mental illness, and viral signatures may serve as biomarkers for the early detection of schizophrenia.