METHODS: The locomotor activity, learning, and memory were assessed by using open field test and water T-maze test. This study also examined changes in neuronal cell morphology using cresyl violet and apoptosis staining. We also performed immunohistochemical study to analyse the expression of the glutamate AMPA receptor (α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid) GluA1 subunit and the GABA receptor (γ-Aminobutyric Acid) subtype GABAA α1 subunit in the hippocampus of the same animals.
RESULTS: We found no significant changes in locomotor activity (p > 0.05). The water T-maze data showed that 30 mg/kg dose significantly (p 0.05). Histological data revealed no neuronal morphological changes. Immunohistochemical analysis revealed increased expression of the AMPA GluA1 receptor subunit but there was no effect on GABAA receptor α1 subunit expression in the CA1 and CA2 subregions of the hippocampus.
CONCLUSIONS: The C. asiatica extract therefore improved hippocampus-dependent spatial learning and memory in a dose-dependent manner in rats through the GluA1-containing AMPA receptor in the CA1 and CA2 sub regions of the hippocampus.
MATERIALS AND METHODS: Contrast enhanced computed tomography (CT) images of 194 multi-racial NSCLC patients (79 EGFR mutants and 115 wildtypes) were collected from three different countries using 5 manufacturers' scanners with a variety of scanning parameters. Ninety-nine cases obtained from the University of Malaya Medical Centre (UMMC) in Malaysia were used for training and validation procedures. Forty-one cases collected from the Kyushu University Hospital (KUH) in Japan and fifty-four cases obtained from The Cancer Imaging Archive (TCIA) in America were used for a test procedure. Radiomic features were obtained from BN maps, which represent topologically invariant heterogeneous characteristics of lung cancer on CT images, by applying histogram- and texture-based feature computations. A BN-based signature was determined using support vector machine (SVM) models with the best combination of features that maximized a robustness index (RI) which defined a higher total area under receiver operating characteristics curves (AUCs) and lower difference of AUCs between the training and the validation. The SVM model was built using the signature and optimized in a five-fold cross validation. The BN-based model was compared to conventional original image (OI)- and wavelet-decomposition (WD)-based models with respect to the RI between the validation and the test.
RESULTS: The BN-based model showed a higher RI of 1.51 compared with the models based on the OI (RI: 1.33) and the WD (RI: 1.29).
CONCLUSION: The proposed model showed higher robustness than the conventional models in the identification of EGFR mutations among NSCLC patients. The results suggested the robustness of the BN-based approach against variations in image scanner/scanning parameters.
METHODS: This study was based on data obtained from 3716 Malaysians aged ≥60 years as part of the National Health and Morbidity Survey (NHMS) 2018. QoL was measured using the Control, Autonomy, Self-realization and Pleasure 19-item (CASP-19) questionnaire. UI was measured using the Questionnaire Urinary Incontinence Diagnosis (QUID) score. Association between UI and QoL were examined using linear regression analysis, after controlling socio-demographic variables and comorbidities.
RESULTS: Overall, the prevalence of UI was 5.2%. By subtypes, the prevalence of stress UI and urge UI were both 2.0%, while that of mixed UI was 1.3%. The UI group rated their lives more negatively in all four domains of QoL compared with non-UI group. Those who were incontinent had lower standardized scores on control and autonomy domains of CASP-19 as well as total score. Results from linear regression analysis indicated that UI had a significantly negative impact on control and autonomy domains of QoL after controlling for socio-demographic factors and comorbidities.
CONCLUSION: UI contributes to a significant reduction on QoL of older persons. Healthcare providers need to be sensitive in evaluating and discussing UI, particularly with their older patients. Geriatr Gerontol Int 2020; 20: 38-42.
METHODS AND ANALYSIS: 370 pregnant women (aged 18 years old and above) will be recruited with International Consultation on Incontinence Questionnaire-Urinary Incontinence-Short Form. Ten clusters (primary care clinics) will be randomly assigned to either PFMT or usual care in a 1:1 ratio by an independent researcher (sealed envelope). The primary outcome will be urinary incontinence, and the secondary outcomes (quality of life; PFMT adherence, psychological status and mobile apps' usability) will be assessed at four measurement time points (t0: baseline) and postintervention (t1: 4 weeks, t2: 8 weeks and t3: 8 weeks postnatal). T-test analysis will determine any significant differences at the baseline between the control and intervention groups. The mixed-model analysis will determine the effectiveness of the intervention at the population-average level for both the primary and secondary outcomes. For the cost-effectiveness analysis, expenditures during the study and 6 months after the intervention will be compared between the groups using the multiway sensitivity analysis. The recruitment planned will be in December 2020, and the planned end of the study will be in August 2021.
ETHICS AND DISSEMINATION: This study protocol was approved by the Ethics Committee for Research Involving Human Subjects, Universiti Putra Malaysia (JKEUPM-2019-368) and Medical Research and Ethics Committee (MREC), Ministry of Health Malaysia, NMRR-19-412-47116 (IIR) with the ANZCTR registration. This study will obtain informed written consent from all the study participants. The results which conform with the Consolidated Standards of Reporting Trials and the Recommendations for Interventional Trials will be published for dissemination in peer-reviewed journals and conference proceedings.
TRIAL REGISTRATION NUMBER: ACTRN12619000379112.
Methods: Multiple sequence alignment with the Clustal Omega method was used to identify conserved regions and Geneious Prime was used to produce a consensus sequence. T and B cell epitopes were predicted by various computational tools from the NetCTL and Immune Epitope Database (IEDB), respectively.
Results: Altogether, 6 HTL cells and 11 CTL epitopes were predicted. This vaccine's molecular docking is done with Patch Dock and LigPlot to verify interactions. The immune server (C-IMMSIM) was used to develop In silico immune response in order to assess the multi-epitope vaccine's immunogenic profile.
Conclusion: We designed universal vaccine against B. cereus responsible for food poisoning. The disease may be avoided with the aid of the proposed epitope-based vaccine.