20 research outputs found

    DESIGN AND CHARACTERIZATION OF DONEPEZIL HYDROCHLORIDE SUSTAINED RELEASE MATRIX TABLETS

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    The ultimate aim of the present study was to develop sustained release (SR) tablets of Donepezil Hydrochloride by employing natural polymers (Guar gum and Xanthan gum) as the matrix material in different proportion by wet granulation method. Initially drug-excipients compatibility studies were carried out using FTIR and DSC which showed no interaction between drug and excipients. Granules of prepared batches were evaluated for bulk density, tapped density, carr’s index, hausner’s ratio, angle of repose. Tablets were evaluated for various physicochemical parameters like hardness, thickness, friability, weight variation test, drug content and in vitro drug release. All the formulation showed compliance with pharmacopoeial standards. 32 full factorial design was applied in which Guar gum (X1) and Xanthan gum (X2) were taken as independent factor and %CDR at 2hr (Y1) and at 12hr (Y2) were taken as response. In-vitro drug release study revealed that as the amount of polymers increased, % CDR decreased. Contour plots as well as response surface plots were constructed to show the effect of X1 and X2 on %CDR and predicted at the concentration of independent variables X1(40mg) and X2(40mg) for maximized response. The kinetic release treatment showed that korsmeyer peppas equation has shown of  r2 0.9517 which was close to one indicating that the dissolution profile fits in Korsmeyer-Peppas model and the mechanism of drug release from these tablets was by non-fickian diffusion mechanism. The optimized batch was kept for stability study at 40 ± 2oC/ 75 ± 5 % RH for a period of 1 month according to ICH guidelines and found to be stable after 1 month of study. Keywords: Sustained release matrix tablet, Donepezil hydrochloride, Guar gum, Xanthan gum, 32 full factorial design

    Salivary exRNA biomarkers to detect gingivitis and monitor disease regression

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    AimThis study tests the hypothesis that salivary extracellular RNA (exRNA) biomarkers can be developed for gingivitis detection and monitoring disease regression.Materials and MethodsSalivary exRNA biomarker candidates were developed from a total of 100 gingivitis and nonâ gingivitis individuals using Affymetrix’s expression microarrays. The top 10 differentially expressed exRNAs were tested in a clinical cohort to determine whether the discovered salivary exRNA markers for gingivitis were associated with clinical gingivitis and disease regression. For this purpose, unstimulated saliva was collected from 30 randomly selected gingivitis subjects, the gingival and plaque indexes scores were taken at baseline, 3 and 6 weeks and salivary exRNAs were assayed by means of reverse transcription quantitative polymerase chain reaction.ResultsEight salivary exRNA biomarkers developed for gingivitis were statistically significantly changed over time, consistent with disease regression. A panel of four salivary exRNAs [SPRR1A, lncâ TET3â 2:1, FAM25A, CRCT1] can detect gingivitis with a clinical performance of 0.91 area under the curve, with 71% sensitivity and 100% specificity.ConclusionsThe clinical values of the developed salivary exRNA biomarkers are associated with gingivitis regression. They offer strong potential to be advanced for definitive validation and clinical laboratory development test.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/144647/1/jcpe12930.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/144647/2/jcpe12930_am.pd

    Diffusion of Macromolecules in Model Oral Biofilms▿

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    The diffusive penetration of fluorescently tagged macromolecular solutes into model oral biofilms was visualized by time-lapse microscopy. All of the solutes tested, including dextrans, proteases, green fluorescent protein, and immunoglobulin G, accessed the interior of cell clusters 100 to 200 μm in diameter within 3 min or less

    Direct Visualization of Spatial and Temporal Patterns of Antimicrobial Action within Model Oral Biofilms▿

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    A microscopic method for noninvasively visualizing the action of an antimicrobial agent inside a biofilm was developed and applied to describe spatial and temporal patterns of mouthrinse activity on model oral biofilms. Three species biofilms of Streptococcus oralis, Streptococcus gordonii, and Actinomyces naeslundii were grown in glass capillary flow cells. Bacterial cells were stained with the fluorogenic esterase substrate Calcien AM (CAM). Loss of green fluorescence upon exposure to an antimicrobial formulation was subsequently imaged by time-lapse confocal laser scanning microscopy. When an antimicrobial mouthrinse containing chlorhexidine digluconate was administered, a gradual loss of green fluorescence was observed that began at the periphery of cell clusters where they adjoined the flowing bulk fluid and progressed inward over a time period of several minutes. Image analysis was performed to quantify a penetration velocity of 4 μm/min. An enzyme-based antimicrobial formulation led to a gradual, continually slowing loss of fluorescence in a pattern that was qualitatively different from the behavior observed with chlorhexidine. Ethanol at 11.6% had little effect on the biofilm. None of these treatments resulted in the removal of biomass from the biofilm. Most methods to measure or visualize antimicrobial action in biofilms are destructive. Spatial information is important because biofilms are known for their structural and physiological heterogeneity. The CAM staining technique has the potential to provide information about the rate of antimicrobial penetration, the presence of tolerant subpopulations, and the extent of biomass removal effected by a treatment

    High Glucose Induces Late Differentiation and Death of Human Oral Keratinocytes

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    Keratinocytes are essential cells for wound repair. Impaired oral wound healing is common in diabetic patients with periodontal disease. High glucose, or hyperglycemia, impairs the cellular function of different cell types. However, it is unknown whether high glucose has a detrimental effect on the functions of oral keratinocytes. In the current study, a human gingival keratinocyte cell line, telomerase immortalized gingival keratinocytes (TIGK), was treated with high glucose (24 and 48 mM) for up to 120 h. Proliferation, migration, cell viability, and production of markers of differentiation, growth factors and enzymatic antioxidants were assessed after high glucose treatment. The results showed that high glucose significantly inhibited TIGK proliferation and migration. High glucose also induced significant cell death through apoptosis and necrosis as determined by flow cytometry, especially at 120 h after high glucose treatment. Necrosis was the dominant form of cell death induced. Real-time PCR showed that high glucose treatment upregulated mRNA expression of late keratinocyte differentiation makers, such as keratin 1, 10, 13 and loricrin, and downregulated enzymatic antioxidants, including superoxide dismutase 1, catalase, nuclear factor erythroid 2 -related factor 2, heme oxygenase 1. In conclusion, high glucose impairs the proliferation and migration of oral keratinocytes and likely induces cell death through the promotion of late cell differentiation and down-regulation of enzymatic antioxidants

    Global Metabolomic Analysis of Human Saliva and Plasma from Healthy and Diabetic Subjects, with and without Periodontal Disease

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    <div><p>Recent studies suggest that periodontal disease and type 2 diabetes mellitus are bi-directionally associated. Identification of a molecular signature for periodontitis using unbiased metabolic profiling could allow identification of biomarkers to assist in the diagnosis and monitoring of both diabetes and periodontal disease. This cross-sectional study identified plasma and salivary metabolic products associated with periodontitis and/or diabetes in order to discover biomarkers that may differentiate or demonstrate an interaction of these diseases. Saliva and plasma samples were analyzed from 161 diabetic and non-diabetic human subjects with a healthy periodontium, gingivitis and periodontitis. Metabolite profiling was performed using Metabolon's platform technology. A total of 772 metabolites were found in plasma and 475 in saliva. Diabetics had significantly higher levels of glucose and α-hydroxybutyrate, the established markers of diabetes, for all periodontal groups of subjects. Comparison of healthy, gingivitis and periodontitis saliva samples within the non-diabetic group confirmed findings from previous studies that included increased levels of markers of cellular energetic stress, increased purine degradation and glutathione metabolism through increased levels of oxidized glutathione and cysteine-glutathione disulfide, markers of oxidative stress, including increased purine degradation metabolites (e.g. guanosine and inosine), increased amino acid levels suggesting protein degradation, and increased ω-3 (docosapentaenoate) and ω-6 fatty acid (linoleate and arachidonate) signatures. Differences in saliva between diabetic and non-diabetic cohorts showed altered signatures of carbohydrate, lipid and oxidative stress exist in the diabetic samples. Global untargeted metabolic profiling of human saliva in diabetics replicated the metabolite signature of periodontal disease progression in non-diabetic patients and revealed unique metabolic signatures associated with periodontal disease in diabetics. The metabolites identified in this study that discriminated the periodontal groups may be useful for developing diagnostics and therapeutics tailored to the diabetic population.</p></div

    Overall statistical analysis of saliva samples comparing periodontal cohorts from diabetics and non-diabetics.

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    <p>*25 metabolites were increased in saliva from subjects with gingivitis, 10 metabolites were increased in saliva from diabetic, non-gingivitis subjects.</p><p>**12 metabolites were increased in saliva from diabetic subjects with periodontitis, 42 metabolites were increased in saliva from diabetic, periodontally healthy subjects.</p><p>***17 metabolites were increased in saliva from non-diabetic gingivitis subjects without diabetes, 3 metabolites were increased in saliva from non-diabetic, periodontally healthy subjects.</p><p>****62 metabolites were increased in saliva from non-diabetic periodontitis subjects, 2 metabolites were increased in saliva from non-diabetic, periodontally healthy subjects.</p

    Comparison of biochemical changes to previously published results.

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    <p>*Increased with statistically significant differences (<i>p</i>≤0.05) in biochemicals from those pathways. I</p><p>**Increasing trend reflects differences (0.05<<i>p</i>≤0.10) in biochemicals from those pathways.</p
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