Aims: To describe the subgingival microbial profiles of the major putative periodontal pathogens and investigate their role as diagnostic markers for destructive periodontal diseases in an untreated and isolated population.
Materials And Methods: The source population consisted of all subjects aged ≥ 12 years in an isolated Brazilian population. An interview and a full-mouth clinical examination were conducted and subgingival plaque samples were obtained from four sites per subject. PCR analyses were used to identify the following micro-organisms: Aggregatibacter actinomycetemcomitans, Porphyromonas gingivalis, Tannerella forsythia, Prevotella intermedia and Campylobacter rectus.
Results: Among the 214 clinically examined subjects (81% response), 170 of the 195 dentate subjects provided plaque samples. Two subgingival microbial profiles were identified: absence of all micro-organisms but Campylobacter rectus or co-occurrence of Tannerella forsythia and Porphyromonas gingivalis. Using a combination of microbiological and interview information, the smallest overall misclassification in the diagnosis of extensive clinical attachment loss ≥ 5 mm was 8.8% (4.7% of non-cases and 22% of cases), but this was not different from the 7.6% (2.3% non-cases and 24.4% cases) obtained using clinical and interview information (p = 0.292).
Conclusion: Specific microbial profiles could be identified in this isolated population. They did not result in significant superior diagnostic accuracy when compared to traditional clinical markers.
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http://dx.doi.org/10.3109/00016357.2012.680901 | DOI Listing |
Background: Chronic low back pain (LBP) is a significant global health concern, often linked to vertebral bone marrow lesions (BML), particularly fatty replacement (FR). This study aims to explore the relationship between the gut microbiome, serum metabolome, and FR in chronic LBP patients.
Methods: Serum metabolomic profiling and gut microbiome analysis were conducted in chronic LBP patients with and without FR (LBP + FR, = 40; LBP, = 40) and Healthy Controls (HC, = 31).
Crop residues have shown promise as non-conventional feed sources to enhance animal health and growth. This study evaluated the effects of chili straw (CS) on rumen fermentation, meat quality, amino and fatty acid composition, and rumen microbial diversity in sheep. Fifty F1 Dorper×Hu lambs (29.
View Article and Find Full Text PDFInfect Prev Pract
March 2025
Department of Medicine, University of Cambridge, Box 157 Addenbrooke's Hospital, Hills Road, Cambridge, CB2 0QQ, UK.
Antibiograms have been used during outbreak investigations for decades as a surrogate for genetic relatedness of Methicillin-resistant (MRSA). In this study, we evaluate the accuracy of antibiograms in detecting transmission, using genomic epidemiology as the reference standard. We analysed epidemiological and genomic data from 1,465 patients and 1,465 MRSA isolates collected at a single clinical microbiology laboratory in the United Kingdom over a one-year period.
View Article and Find Full Text PDFJDS Commun
January 2025
Department of Animal Science, University of Florida, Gainesville, FL 32611.
The objective of this study was to compare fermentation profile and microbial diversity from rumen samples collected using a rumen cannula (RC) or stomach tube (ST) in lactating dairy cows. Three ruminally cannulated lactating dairy cows were used in a 3 × 3 Latin square design. The experimental period was 28 d and rumen fluid was collected 4 h after feeding on d 22 and 26 of each experimental period.
View Article and Find Full Text PDFTrop Biomed
December 2024
Laboratory of Microbiology and Molecular Biology, Faculty of Sciences, Badji Mokhtar University, Annaba, Algeria.
The increasing prevalence of multidrug-resistant bacteria necessitates the exploration of novel antimicrobial agents. This study aims to investigate the antibacterial and antibiofilm properties of mucus from Helix aspersa, a species of terrestrial snail, against multidrug resistant Staphylococcus aureus strains. The antibacterial effect was assessed using well diffusion, microdilution, and time kill assays.
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