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Alghamdi, S. A.

Publications and source records attributed to Alghamdi, S. A..

2 recordsLinked to original sources

Fusobacterium nucleatum metabolically integrates commensals and pathogens in oral biofilms

Fusobacterium nucleatum is a common constituent of the oral microbiota in both periodontal health and disease. Previously, we discovered ornithine cross-feeding between F. nucleatum and Streptococcus gordonii, where S. gordonii secretes ornithine via an arginine-ornithine antiporter (ArcD), which in turn supports the growth and biofilm development of F. nucleatum; however, broader metabolic aspects of F. nucleatum within polymicrobial communities and their impact on periodontal pathogenesis have not been addressed. Here, we show that when co-cultured with S. gordonii, F. nucleatum increased amino acid availability to enhance the production of butyrate and putrescine, a polyamine produced by ornithine decarboxylation. Co-culture with Veillonella parvula, another common inhabitant of the oral microbiota, also increased lysine availability, promoting cadaverine production by F. nucleatum. We confirmed that ArcD-dependent ornithine excretion by S. gordonii results in synergistic putrescine production, and mass spectrometry imaging revealed this metabolic capability creates a putrescine-rich microenvironment inside F. nucleatum biofilms. We further demonstrated that polyamines caused significant changes in the biofilm phenotype of a periodontal pathogen, Porphyromonas gingivalis, with putrescine being a potent stimulator of biofilm development and dispersal, and confirmed that F. nucleatum-mediated conversion of ornithine to putrescine enhances biofilm formation by P. gingivalis. Lastly, analysis of plaque samples revealed cooccurrence of P. gingivalis with genetic modules for putrescine production by S. gordonii and F. nucleatum. Overall, our results highlight the ability of F. nucleatum to induce synergistic polyamine production within multi-species consortia, and provide insight into how the trophic web in oral biofilm ecosystems can eventually shape disease-associated communities. Significance StatementPeriodontitis is caused by the pathogenic transition of subgingival microbiota ecosystems, which is accompanied by alterations to microbiome functions including metabolic systems and the establishment of metabolic cross-feeding. While Fusobacterium nucleatum is a major constituent of the periodontal microbiota, its metabolic integration within polymicrobial communities and the impact on periodontal pathogenesis are poorly understood. Here, we report that amino acids supplied by other commensal bacteria induce polyamine production by F. nucleatum, creating polyamine-rich microenvironments. We further show that this trophic web results in enhancement of biofilm formation and dispersal of a periodontal pathogen, Porphyromonas gingivalis. This work provides mechanistic insight into how cooperative metabolism within oral biofilms can tip the balance toward periodontitis.

microbiology↗

Molecular analysis of long non-coding RNA GAS5 and microRNA-34a expression signature in common solid tumors: A pilot study

Accumulating evidence indicates that non-coding RNAs including microRNAs (miRs) and long non-coding RNAs (lncRNAs) are aberrantly expressed in cancer, providing promising biomarkers for diagnosis, prognosis and/or therapeutic targets. We aimed in the current work to quantify the expression profile of miR-34a and one of its bioinformatically selected partner lncRNA growth arrest-specific 5 (GAS5) in a sample of Egyptian cancer patients, including three prevalent types of cancer in our region; renal cell carcinoma (RCC), hepatocellular carcinoma (HCC) and glioblastoma (GB) as well as to correlate these expression profiles with the available clinicopathological data in an attempt to clarify their roles in cancer. Quantitative real-time polymerase chain reaction analysis was applied. Different bioinformatics databases were searched to confirm the potential miRNAs-lncRNA interactions of the selected ncRNAs in cancer pathogenesis. GAS5 was significantly under-expressed in the three types of cancer. However, levels of miR-34a greatly varied according to the tumor type; it displayed an increased expression in RCC [4.05 (1.003-22.69), p <0.001] and a decreased expression in GB [0.35 (0.04-0.95), p <0.001]. A weak negative correlation was observed between levels of GAS5 and miR-34a in GB [r = -0.39, p =0.006]. Univariate analyses revealed a correlation of GAS5 downregulation with poor disease-free survival (r = 0.31, p =0.018) and overall survival (r = 0.28, p =0.029) in RCC but not in GB, and a marginal significance correlation with a higher number of lesions in HCC. Hierarchical clustering analysis showed RCC patients among others, could be clustered by GAS5 and miR-34a co-expression profile. Our results confirm the tumor suppressor role of GAS5 in cancer and suggest its potential applicability to be a predictor of bad outcomes with other conventional markers for various types of cancer. Further functional validation studies are warranted to confirm miR-34a/GAS5 interplay in cancer.

molecular biology↗