The potential synergistic behaviour of inter- and intra-genus probiotic combinations in the pattern and rate of short chain fatty acids formation during fibre fermentation

This study compared the rate of short chain fatty acid (SCFA) production by different probiotic combinations of Lactobacillus and Bifidobacterium to determine any synergistic effects. Six different fibre fractions were fermented with nine combinations of Lactobacillus rhamnosus (LR), Lactobacillus acidophilus (LA), Bifidobacterium longum (BL) and Bifidobacterium breve (BB) for 0, 6, 24 and 48 h. SCFAs were quantified by gas chromatography. Inter-genus combinations of bacteria produced more SCFA, especially BB + BL + LR, compared to intra-genus that yielded the lowest SCFA production. Acetate was the most abundant, while propionate and butyrate were the most utilised. The SCFA formation was as acetate \u3e propionate \u3e butyrate and the total dietary fibre produced most of the SCFA. Most combinations utilised 60–80% of the fibre; BB + BL + LR digested the fibre completely. The quantity, pattern and the time of release of SCFA depends on the genus, but the combination of pre and probiotics is of great importance for the outcome

Gene expression profile of oral squamous cell carcinomas from Sri Lankan betel quid users

Oral squamous cell carcinoma (OSCC) is one of the major health problems in Sri Lanka and the disease is associated with the habit of Betel Quid (BQ) chewing. Using 35k oligo microarrays, we analyzed the gene expression profile of 15 Sri Lankan patients diagnosed with OSCCs and pair-wised normal controls and correlated the findings with the clinicopathological data. Following the recording of the scanned array images and data analysis, results for selected candidate genes were verified using QRT-PCR. Upon analysis, a total of 263 genes [71 (27%) of unknown functions previously not reported in OSCCs and 192 (73%) of known functions] were found as differentially expressed between tumors and controls. For the genes with known functions, 66 (34%; such as COL4A1, MMP1, MMP3, PLAU, SPARC and KRT19) were previously reported in OSCC and for the remaining 126 (66%; such as CD47, APOL3, RRAGC, BPIL1 and AZGP1) this is the first report in OSCCs. Hierarchical clustering of the differentially expressed 263 genes grouped the samples into several clusters with the larger one being dominated by tumors of stage 3 and 4. Two cases (a verrucous SCC and an advanced SCC), did not cluster with any of the other samples. We found two main biological pathways (cell communication and integrin-mediated cell adhesion) and 5 gene ontology categories (transcription regulator activity, structural molecule activity, intracellular signaling, cytoskeleton and signal transduction) of relevance to the OSCCs examined. Results from the QRT-PCR verified the results from the microarray experiment. This study provides valuable information on gene expression profile of OSCCs of habitual users of BQ from Sri Lanka. Of particular interest were the list of genes of known and unknown functions and the two biological pathways that we suggest as candidate genes in oral cancers associated with BQ chewing in Southeast Asia, in particular Sri Lanka. The suggested candidate genes might be used as molecular biomarkers in the early detection of the alarming problem of OSCCs in Southeast Asia in association with BQ use. These findings provide valuable information that might help in the selection of possible biomarkers that can be used in early detection of the alarming problem of oral cancer in Southeast Asia.publishedVersio

Criteria for Construction Project Success: A Literature Review

AbstractExecution of construction projects in an efficient and effective way is a core competency of project-based organizations. Evaluation of project success plays a key role in improving project management competency. Project success is an elusive topic and goes beyond project management success and traditional criteria. The lack of an agreed definition and a set of criteria for construction project success have long been the reasons for failing to evaluate success. The main possible causes for such disagreement would be the abstract nature of the concept itself and studies including different industry projects and different participants’ viewpoints with different priorities. Therefore, the objective of this paper is to define construction project success and to develop a framework with a practical set of measurement criteria to evaluate the same.This study has followed the Systematic Review Approach recommended by Tranfield et al. (2003). The recommended check-list by Saunders et al. (2007) was used to ensure the criticality of the review. A definition for Construction Project Success and ten criteria – subjective and objective have been identified. The criteria are Time, Cost, Quality, Safety, Client’s Satisfaction, Employees’ Satisfaction, Cash-flow Management, Profitability, Environment Performance and Learning and Development. The paper stresses the need for a long-term perspective rather than having a short-term perspective of Construction Project Success. Further, it has disentangled complications in literature over some criteria such as Quality and Satisfaction. Employee Satisfaction and Learning & Development have been completely overlooked as a result of short term perspective. Criteria should facilitate measuring project success during the execution stage as well as at the end of the project. It is recommended that, through the studies of relationships between critical success factors and success criteria a stronger model to ensure project success could be established. Proposed framework will be tested in Sri Lankan context in future and findings would be added to the project management body of knowledge. Proposed framework will be instrumental for filling the existing empirical gaps.Keywords: Construction Industry, Project Management, Success Criteria, Project Success, Success Measurement

Derivation and validation of a risk-factor model for detection of oral potentially malignant disorders in populations with high prevalence

Background:Oral and pharyngeal cancers constitute the sixth most common type of cancer globally, with high morbidity and mortality. In many countries, most cases of oral cancer arise from long-standing, pre-existing lesions, yet advanced malignancies prevail. A new approach to early detection is needed. We aimed to validate a model for screening so that only high-risk individuals receive the clinical examination.Methods:A community-based case-control study (n1029) in rural Sri Lanka assessed risk factors and markers for oral potentially malignant disorders (OPMD) by administering a questionnaire followed by an oral examination. We then developed a model based on age, socioeconomic status and habits of betel-quid chewing, alcohol drinking and tobacco smoking, with weightings based on odds ratios from the multiple logistic regression. A total, single score was calculated per individual. Standard receiver-operator characteristic curves were plotted for the total score and presence of OPMD. The model was validated on a new sample of 410 subjects in a different community.Results:A score of 12.0 produced optimal sensitivity (95.5%), specificity (75.9%), false-positive rate (24.0%), false-negative rate (4.5%), positive predictive value (35.9%) and negative predictive value (99.2%).Conclusion:This model is suitable for detection of OPMD and oral cancer in high-risk communities, for example, in Asia, the Pacific and the global diaspora therefrom. A combined risk-factor score of 12.0 was optimal for participation in oral cancer/OPMD screening in Sri Lanka. The model, or local adaptations, should have wide applicability

Clinical significance of Phosphatidyl Inositol Synthase overexpression in oral cancer

<p>Abstract</p> <p>Background</p> <p>We reported increased levels of Phosphatidyl Inositol synthase (PI synthase), (enzyme that catalyses phosphatidyl inositol (PI) synthesis-implicated in intracellular signaling and regulation of cell growth) in smokeless tobacco (ST) exposed oral cell cultures by differential display. This study determined the clinical significance of PI synthase overexpression in oral squamous cell carcinoma (OSCC) and premalignant lesions (leukoplakia), and identified the downstream signaling proteins in PI synthase pathway that are perturbed by smokeless tobacco (ST) exposure.</p> <p>Methods</p> <p>Tissue microarray (TMA) Immunohistochemistry, Western blotting, Confocal laser scan microscopy, RT-PCR were performed to define the expression of PI synthase in clinical samples and in oral cell culture systems.</p> <p>Results</p> <p>Significant increase in PI synthase immunoreactivity was observed in premalignant lesions and OSCCs as compared to oral normal tissues (p = 0.000). Further, PI synthase expression was significantly associated with de-differentiation of OSCCs, (p = 0.005) and tobacco consumption (p = 0.03, OR = 9.0). Exposure of oral cell systems to smokeless tobacco (ST) in vitro confirmed increase in PI synthase, Phosphatidylinositol 3-kinase (PI3K) and cyclin D1 levels.</p> <p>Conclusion</p> <p>Collectively, increased PI synthase expression was found to be an early event in oral cancer and a target for smokeless tobacco.</p

Predicting severe pain after major surgery: a secondary analysis of the Peri-operative Quality Improvement Programme (PQIP) dataset

Acute postoperative pain is common, distressing and associated with increased morbidity. Targeted interventions can prevent its development. We aimed to develop and internally validate a predictive tool to pre-emptively identify patients at risk of severe pain following major surgery. We analysed data from the UK Peri-operative Quality Improvement Programme to develop and validate a logistic regression model to predict severe pain on the first postoperative day using pre-operative variables. Secondary analyses included the use of peri-operative variables. Data from 17,079 patients undergoing major surgery were included. Severe pain was reported by 3140 (18.4%) patients; this was more prevalent in females, patients with cancer or insulin-dependent diabetes, current smokers and in those taking baseline opioids. Our final model included 25 pre-operative predictors with an optimism-corrected c-statistic of 0.66 and good calibration (mean absolute error 0.005, p = 0.35). Decision-curve analysis suggested an optimal cut-off value of 20–30% predicted risk to identify high-risk individuals. Potentially modifiable risk factors included smoking status and patient-reported measures of psychological well-being. Non-modifiable factors included demographic and surgical factors. Discrimination was improved by the addition of intra-operative variables (likelihood ratio χ2 496.5, p < 0.001) but not by the addition of baseline opioid data. On internal validation, our pre-operative prediction model was well calibrated but discrimination was moderate. Performance was improved with the inclusion of peri-operative covariates suggesting pre-operative variables alone are not sufficient to adequately predict postoperative pain