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Universiti Sains Malaysia

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    The evaluation of etlingera elatior flower (bunga kantan) aqueous extract (EEAE) effects on cognitive impairment improvement in diabetic rats (pilot study)

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    Diabetes mellitus (DM) is a global health concern that affects individuals across all countries, sexes, and age groups. It increases the risk of developing multi-organ complications, including cognitive impairment, which is often linked to hyperglycaemia, oxidative stress, insulin resistance, neurovascular dysfunction, and neuroinflammation. Although the pharmaceutical antidiabetic drugs are effective in controlling blood glucose levels, they are often associated with various side effects. Hence, the trend of using medicinal plants that contain bioactive compounds to improve diabetes-induced cognitive impairment is increasing due to their minimal side effects and cost-effectiveness. This pilot study aims to evaluate the effects of Etlingera elatior flower aqueous extract (EEAE) on improving cognitive impairment in diabetic rats. Nine Sprague-Dawley male rats were randomly separated into three groups (n=3/group): (1) normal control group, (2) diabetic control group, and (3) diabetic treatment group receiving 1000 mg/kg EEAE orally for 6 weeks. The DPPH assay was used to measure the antioxidant activity of EEAE, which showed that EEAE exhibited moderate antioxidant potential. Furthermore, EEAE treatment showed slight improvements in fasting blood glucose (FBG) levels and body mass index (BMI) compared to the diabetic control group. Additionally, it improved all parameters related to spatial learning and memory in the Morris Water Maze (MWM) test Histological examination of brain tissue using haematoxylin and eosin (H&E) staining revealed reduced neuronal degeneration with fewer microglia in the EEAE-treated group. These findings suggest that the antidiabetic, antioxidant, anti-inflammatory, and neuroprotective effects could be due to the anthocyanins, a bioactive compound in EEAE. Therefore, it can potentially be developed as a natural therapeutic product in improving diabetes-induced cognitive impairmen

    Oral health education module for mothers (OHEM)

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    Buletin Majlis Penghuni Desasiswa Tekun Sidang Akademik 2024/2025 Semester 1

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    The 2030 Agenda for Sustainable Development, 17 Sustainable Development Goals (SDGs), Reduced inequalities (SDG 10), Peace, justice, and strong institutions (SDG 16), Climate action (SDG 13), Quality education (SDG 4), Good health and well-being (SDG 3), Partnerships for the goals (SDG 17)

    Hair DNA extraction using modified chelex method for forensic human identification

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    Deoxyribonucleic acid (DNA) analysis is a cornerstone in forensic science, facilitating human identification in criminal investigations. Among biological evidence, hair is frequently encountered but presents unique challenges for DNA extraction due to its protein-rich structure and inherently low DNA content. This study focused on optimizing DNA extraction and amplification protocols for hair samples to enhance their forensic utility. Hair samples were categorized into three groups: with bulbs, without bulbs, and with unknown bulb status. Genomic DNA extraction was carried out using the Chelex® 100 resin method, further refined with the addition of Extraction Buffer for Hair (EBH) and Dithiothreitol (DTT) to improve recovery efficiency. Quantitative analysis of extracted DNA showed variability across categories, with the highest yields obtained from samples containing bulbs. To assess the forensic applicability of the extracted DNA, polymerase chain reaction (PCR) amplification targeting mitochondrial DNA (mtDNA) regions of 176 bp and 310 bp was performed. Optimized annealing temperatures and cycling conditions was established using Herculase II Fusion DNA polymerase. Agarose gel electrophoresis confirmed successful amplification of purified DNA samples, with distinct bands corresponding to the targeted mtDNA regions. The findings highlight the utility of mtDNA extracted from hair for human identification, especially in situations where traditional biological evidence is unavailable. Although samples with bulbs yielded higher DNA concentrations, successful amplification was also achieved in samples without bulbs and with unknown bulb status, demonstrating the versatility of this approach. Future investigations should explore factors influencing DNA yield, such as hair growth phases, and incorporate nuclear DNA analysis to enhance individual specificity. This study advances forensic science by refining hair DNA recovery and amplification techniques, advancing the reliability of hair evidence in criminal investigation

    Retrospective study of risk factors for urethral stricture after transurethral resection of prostate among the elderly in Chengdu, China

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    Benign prostatic hyperplasia (BPH) is becoming increasingly prevalent, and although transurethral resection of the prostate (TURP) remains the standard surgical treatment, late postoperative urethral stricture remains a potential complication. This cross-sectional study aimed to identify risk factors for urethral stricture following TURP. Clinical data from 400 BPH patients (mean age, 74.31 ± 6.70 years) who underwent TURP at Chengdu University Affiliated Hospital between June 2020 and June 2023 were retrospectively analyzed. This study divided the data into two groups: the urethral stricture group and the non-urethral stricture group. All data were analyzed using univariate and multivariate logistic regression analysis (P < 0.05 was set as the significance criterion). A total of 35 patients (8.75%) developed urethral stricture. Multivariate analysis identified age (OR = 1.121, 95% CI: 1.044–1.204, P = 0.002), prostate size (OR = 1.038, 95% CI: 1.014–1.062, P = 0.002), preoperative indwelling catheter (OR = 5.413, 95% CI: 1.872 – 15.655, P = 0.002), and postoperative indwelling catheter time (OR = 2.147, 95% CI: 1.405–3.280, P < 0.001) as independent risk factors for urethral stricture, whereas preoperative urethral dilation (OR = 0.049, 95% CI: 0.011–0.220, P < 0.001) was an independent protective factor. The nomogram prediction model established based on the above independent influencing factors (AUC = 0.916) has good application prospects in clinical diagnosis and risk assessmen

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