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1.
Indian J Med Microbiol ; 37(1): 54-59, 2019.
Article in English | MEDLINE | ID: mdl-31424011

ABSTRACT

Background: Porphyromonas gingivalis is a major periodontal pathogen. Saliva is the most easy, non-invasive microbiological sample for detection of periodontal pathogens. Aim and Objectives: A prospective study on 37 diabetic patients was grouped into well-controlled diabetes with/without periodontitis and uncontrolled diabetic with periodontitis. PCR and sequencing of P. gingivalis was performed in saliva samples. Materials and Methods: DNA was extracted from saliva using Triton X-100 and 16s rRNA gene (404 bp) was amplified by polymerase chain reaction. DNA sequencing was performed for two samples. Results: P. gingivalis was detected in 27.03% (n = 10), of which 30% (n = 9) were diabetic with periodontal disease and 14.3% (n = 1) were diabetic without periodontal disease. The percentage of poor oral hygiene was 50% and 20% in uncontrolled and controlled glycaemic patients, respectively. DNA sequencing of two samples showed 100% identity with the sequences in the GenBank database (Gen Bank accession no: KX640913-KX640914). Conclusion: Type 2 diabetes mellitus and periodontitis are interlinked. Early detection of P. gingivalis and appropriate treatment with doxycycline will also assist in controlling the glycaemic status.


Subject(s)
Diabetes Complications/microbiology , Diabetes Mellitus, Type 2/epidemiology , Periodontitis/epidemiology , Porphyromonas gingivalis/genetics , Saliva/microbiology , Adult , Aged , Bacteroidaceae Infections/drug therapy , Bacteroidaceae Infections/transmission , Diabetes Mellitus, Type 2/pathology , Doxycycline/therapeutic use , Female , Glycated Hemoglobin/analysis , Glycemic Index/drug effects , Humans , India/epidemiology , Male , Middle Aged , Oral Hygiene/statistics & numerical data , Periodontitis/drug therapy , Periodontitis/microbiology , Polymerase Chain Reaction , Porphyromonas gingivalis/drug effects , Prospective Studies , RNA, Ribosomal, 16S/genetics
2.
Diabetes Res Clin Pract ; 130: 204-210, 2017 Aug.
Article in English | MEDLINE | ID: mdl-28648853

ABSTRACT

INTRODUCTION: Oral microbiome impacts health and disease. T2DM and periodontitis are associated. Neem (Azadiracta indica) has antibacterial activity against oral microbiota. OBJECTIVES: To characterize oral microbiota (OMB) in saliva samples of T2DM patients by Next generation sequencing. To analyze MCP-1 levels among the T2DM patients before and after a month of neem stick usage as a toothbrush. MATERIALS AND METHODS: Blood and saliva samples were collected from adult T2DM patients before and after the neem stick usage. Metagenomic sequencing was performed on saliva samples targeting V6 region of 16s rRNA. Serum MCP-1 levels were determined using a quantitative sandwich Human MCP-1 standard ABTS development kit (Peprotech, USA). RESULTS: The profile of oral microbiota of T2DM patients (n=24) consists of Streptococcus (95.8%) counts ranging from 2644 to 27,214, Veillonella (72.2%, counts 25-19,709, Neisseria (87.5%) 453-33,445), Rothia (63.6%, 233-6734), Actinomycetes (25%, 161-3730), Fusobacterium (21%, 2252-21,334), and Pigmentiphaga (12.5% 3-16,644). Oral microbiota in healthy controls (n=10), consists of Streptococcus (26.1%), Veillonella (21.9%), Neisseria (16.9%), Haemophilus (10.7%), Actinomycetes (2.6%), Rothia (3.1%), Oribacterium (1.7%). Post neem samples showed drastic reduction in the load of bacteria which was statistically significant. The mean serum MCP-1 before the use of neem stick was 265.18±79.44 (range 141.6-980.5pg/ml) and dropped to 33.6±7.35 after a month of neem stick usage (P value>0.001). CONCLUSION: OMB of T2DM patients and healthy controls were similar, however bacterial loads were significantly higher in T2DM patients. Use of neem stick has a statistically significant reduction on bacterial loads and MCP-1 levels in T2DM patients.


Subject(s)
Chemokine CCL2/blood , Diabetes Mellitus, Type 2/microbiology , Glycerides/therapeutic use , Microbiota/drug effects , Mouth/microbiology , Terpenes/therapeutic use , Adult , Aged , Diabetes Mellitus, Type 2/blood , Female , High-Throughput Nucleotide Sequencing/methods , Humans , Male , Middle Aged , RNA, Ribosomal, 16S/metabolism , Saliva/microbiology
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