Probiotics augment the effect of non-surgical periodontal treatment – a randomized, double-blinded, placebo-controlled trial
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ABSTRACT:
PROVIDER: PRJEB87651 | ENA |
REPOSITORIES: ENA
Dataset's files
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| ERR14799800_1.fastq.gz | Fastqsanger.gz | |||
| ERR14799800_2.fastq.gz | Fastqsanger.gz | |||
| ERR14799900_1.fastq.gz | Fastqsanger.gz | |||
| ERR14799900_2.fastq.gz | Fastqsanger.gz | |||
| ERR14799801_1.fastq.gz | Fastqsanger.gz |
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Project description:Periodontal infections have been associated with systemic inflammation and risk for atherosclerosis and vascular disease. We investigated the effects of comprehensive periodontal therapy on gene expression of peripheral blood monocytes. Approximately 1/3 of the patients showed substantial changes in expression in genes relevant to innate immunity, apoptosis, and cell signaling. We concluded that periodontal therapy may alter monocytic gene expression in a manner consistent with a systemic anti-inflammatory effect. Experiment Overall Design: Fifteen patients with periodontitis contributed with blood samples at four time points: 1 week prior to periodontal treatment (#1), at treatment initiation (baseline, #2), 6 weeks (#3) and 10 weeks post-baseline (#4). At baseline and 10 weeks, periodontal status was recorded and subgingival plaque samples were collected and processed by checkerboard DNA-DNA hybridization. Periodontal therapy, including periodontal surgery and extractions but no adjunctive antibiotics, was completed within 6 weeks. At each of the four time points, serum concentrations of 19 biomarkers were determined using multiplex assays for Luminex technology. Peripheral blood monocytes were purified, RNA was extracted, reverse-transcribed, labeled, and hybridized with Affymetrix U133 Plus 2.0 chips. Expression profiles were analyzed using linear random effects models. Further analysis of Gene Ontology (GO) terms summarized the expression patterns into biologically relevant categories. Treatment resulted in substantial improvement in clinical periodontal status and reduction in levels of several periodontal pathogens. Expression profiling over time revealed more than 11,000 probes sets differentially expressed at a false discovery rate of <0.05.
2008-06-15 | E-GEOD-6751 | biostudies-arrayexpress
Project description:Periodontitis can impair the osteogenic differentiation of human periodontal mesenchymal stem cells, but the underlying molecular mechanisms are still poorly understood. Long noncoding RNAs (lncRNAs) have been demonstrated to play significant roles under both physiologic and pathological conditions. We performed comprehensive lncRNAs profiling by lncRNA microarray to identify differentially expressed long noncoding RNA expression between Periodontal ligament stem cells from healthy Periodontal tissue and periodontal ligament stem cells from inflammatory periodontal tissue. Our analysis identified 233 lncRNAs and 423 mRNAs that were differently expressed (fold change >2.0, p-value < 0.05) between the two groups of cells. The GO analysis revealed that the significantly down-regulated biological processes included multicellular organismal process, developmental process and multicellular organismal development and the significantly up-regulated biological processes included cellular process, biological regulation and response to stimulus in periodontal ligament stem cells from inflammatory periodontal tissue. The Pathway analysis revealed that the differentially expressed mRNAs may involved in Focal adhesion, ECM-receptor interaction, Bacterial invasion of epithelial cells, Long-term depression, Circadian entrainment and HIF-1 signaling pathway. Two-condition experiment, periodontal ligament stem cells from healthy periodontal tissue (hPDLSCs) vs. periodontal ligament stem cells from inflammatory periodontal tissue (pPDLSCs), Biological replicates: 3 control replicates (hPDLSCs), 3 testing replicates (pPDLSCs).
2016-02-19 | E-GEOD-78074 | biostudies-arrayexpress
Project description:Periodontal regeneration study. Periodontitis is a common chronic inflammatory disease which may lead to tooth loss. The ultimate goal of periodontal therapy is complete regeneration of the tissues lost as a result of periodontitis. However, most regenerative clinical procedures are unpredictable, largely because there is a lack of understanding of how the various tissues comprising the periodontium (gingival epithelium, gingival connective tissue, periodontal ligament, aveolar bone and cementum) interact during the regenerative process. The aim of this study was to investigate the molecular mechanisms that are involved in periodontal regeneration. For this purpose, paired sets of gingival, ligament and regenerating cells were isolated from patients that have been treated for periodontitis via a regenerative surgical procedure. A microarray analysis using the Hu133A Affymetrix arrays was used to identify the genes and pathways that were characteristic of the three different tissues. We have identified over 500 transcripts in global comparison and intrapatient comparisons that were differentially expressed between ligament and gingival samples, and approximately 30 transcripts that characterized the regenerating cell population. By using a functional classification based on Gene Ontology we were able to group the transcripts into 12 groups. Proteases/Protease inhibitors were differentially expressed between the ligament and gingiva highlighting high ECM remodelling activity by gingival cells. On the other hand, ligament cells were shown to have increased protein synthesis by increasing their nucleolar and ribosomal gene complement. We were able to identify 57 various DNA binding proteins, among them were some well characterised transcription factors, transcriptional regulators, including DNA polymerases and transcriptional co-activators. Furthermore, we have also identified changes in expression of their targets in the two tissues. This is the first study to characterise the gene expression profile of periodontal regenerating cells and allowed us to gain valuable insights into the cellular and molecular mechanisms that occur during the regenerative process. We have identified signalling pathways which are consistent with clinical observations of the regenerative properties of gingival and periodontal ligament cells. These pathways provide candidate targets that can be manipulated in order to achieve a superior regenerative clinical outcome. Keywords: other
2006-04-13 | GSE2525 | GEO
Project description:Periodontitis can impair the osteogenic differentiation of human periodontal mesenchymal stem cells, but the underlying molecular mechanisms are still poorly understood. Long noncoding RNAs (lncRNAs) have been demonstrated to play significant roles under both physiologic and pathological conditions. We performed comprehensive lncRNAs profiling by lncRNA microarray to identify differentially expressed long noncoding RNA expression between Periodontal ligament stem cells from healthy Periodontal tissue and periodontal ligament stem cells from inflammatory periodontal tissue. Our analysis identified 233 lncRNAs and 423 mRNAs that were differently expressed (fold change >2.0, p-value < 0.05) between the two groups of cells. The GO analysis revealed that the significantly down-regulated biological processes included multicellular organismal process, developmental process and multicellular organismal development and the significantly up-regulated biological processes included cellular process, biological regulation and response to stimulus in periodontal ligament stem cells from inflammatory periodontal tissue. The Pathway analysis revealed that the differentially expressed mRNAs may involved in Focal adhesion, ECM-receptor interaction, Bacterial invasion of epithelial cells, Long-term depression, Circadian entrainment and HIF-1 signaling pathway.
2016-02-19 | GSE78074 | GEO
Project description:BackgroundOur study aimed to determine the effect of probiotic consumption containing six viable microorganisms of 30 × 1010 cfu Lactobacillus and Bifidobacteria strains for six months on clinical outcomes and inflammatory cytokines (TNF-α, IFN-γ, IL-6, IL-10, IL-12, IL-17A, IL-17C and IL-22) in patients with colorectal cancer.MethodsFifty-two patients with colorectal cancer were randomized at four weeks after surgery to receive either a placebo (n = 25) or 30 billion colony-forming unit (CFU) of a mixture of six viable strains including 107 mg of Lactobacillus acidophilus BCMC® 12,130, Lactobacillus lactis BCMC® 12,451, Lactobacillus casei subsp BCMC® 12,313, Bifidobacterium longum BCMC® 02120, Bifidobacterium bifidum BCMC® 02290 and Bifidobacterium infantis BCMC® 02129 (n = 27). Patients were instructed to take the product orally twice daily for six months. Infection status, diarrhea or hospital admission were recorded throughout the study. Blood was taken pre- and post-intervention to measure TNF-α, IFN-γ, IL-6, IL-10, IL-12, IL-17A, IL-17C and IL-22 using ELISA multiplex kit.ResultsThe majority of cases (~ 70%) were in Duke's C colorectal cancer for both groups. No surgical infection occurred and no antibiotics were required. Chemotherapy induced diarrhea was observed in both groups. Significant reduction in the level of pro-inflammatory cytokine, TNF-α, IL-6, IL-10, IL-12, IL-17A, IL-17C and IL-22 were observed in CRC patients who received probiotics as compared to pre-treatment level (P < 0.05). However, there was no significant difference in the IFN-γ in both groups.ConclusionsWe have shown that probiotics containing six viable microorganisms of Lactobacillus and Bifidobacteria strains are safe to be consumed at four weeks after surgery in colorectal cancer patients and have reduced pro-inflammatory cytokines (except for IFN-gamma). Probiotic may modify intestinal microenvironment resulting in a decline in pro-inflammatory cytokines.Trial registrationNCT03782428; retrospectively registered on 20th December 2018.
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