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  1. Wong PL, Zolkeflee NKZ, Ramli NS, Tan CP, Azlan A, Tham CL, et al.
    J Ethnopharmacol, 2024 Jan 10;318(Pt B):117015.
    PMID: 37572932 DOI: 10.1016/j.jep.2023.117015
    ETHNOPHARMACOLOGICAL RELEVANCE: Ardisia elliptica Thunb. (AE) (Primulaceae) is a medicinal plant found in the Malay Peninsula and has been traditionally used to treat diabetes. However, limited studies to date in providing scientific evidence to support the antidiabetic efficacy of this plant by in-vitro and in-vivo models.

    AIM OF THE STUDY: To investigate the anti-hyperglycemic potential of AE through in-vitro enzymatic activities and streptozotocin-nicotinamide (STZ-NA) induced diabetic rat models using proton-nuclear magnetic resonance (1H-NMR)-based metabolomics approach.

    MATERIALS AND METHODS: Anti-α-amylase and anti-α-glucosidase activities of the hydroethanolic extracts of AE were evaluated. The absolute quantification of bioactive constituents, using ultra-high performance liquid chromatography (UHPLC) was performed for the most active extract. Three different dosage levels of the AE extract were orally administered for 4 weeks consecutively in STZ-NA induced diabetic rats. Physical assessments, biochemical analysis, and an untargeted 1H-NMR-based metabolomics analysis of the urine and serum were carried out on the animal model.

    RESULTS: Type 2 diabetes mellitus (T2DM) rat model was successfully developed based on the clear separation observed between the STZ-NA induced diabetic and normal non-diabetic groups. Discriminating biomarkers included glucose, citrate, succinate, allantoin, hippurate, 2-oxoglutarate, and 3-hydroxybutyrate, as determined through an orthogonal partial least squares-discriminant analysis (OPLS-DA) model. A treatment dosage of 250 mg/kg body weight (BW) of standardized 70% ethanolic AE extract mitigated increase in serum glucose, creatinine, and urea levels, providing treatment levels comparable to that obtained using metformin, with flavonoids primarily contribute to the anti-hyperglycemic activities. Urinary metabolomics disclosed that the following disturbed metabolism pathways: the citrate cycle (TCA cycle), butanoate metabolism, glycolysis and gluconeogenesis, pyruvate metabolism, and synthesis and degradation of ketone bodies, were ameliorated after treatment with the standardized AE extract.

    CONCLUSIONS: This study demonstrated the first attempt at revealing the therapeutic effect of oral treatment with 250 mg/kg BW of standardized AE extract on chemically induced T2DM rats. The present study provides scientific evidence supporting the ethnomedicinal use of Ardisia elliptica and further advances the understanding of the fundamental molecular mechanisms affected by this herbal antidote.

  2. Jana S, Do TN, Nowakowski PJ, Khyasudeen MF, Le DV, Lim IJY, et al.
    J Phys Chem B, 2023 Aug 24;127(33):7309-7322.
    PMID: 37579317 DOI: 10.1021/acs.jpcb.3c02521
    In a two-dimensional (2D) optical spectrum of a multilevel system, there are diagonal peaks and off-diagonal cross-peaks that correlate the different levels. The time-dependent properties of these diagonal peaks and cross-peaks contain much information about the dynamics of the multilevel system. The time-dependent diagonal peakshape that depends on the spectral diffusion dynamics of the associated transition and characterized by the frequency-fluctuation correlation function (FFCF) is well studied. However, the time-dependent peakshape of a cross-peak that provides the correlation dynamics between different transitions is much less studied or understood. We derived the third-order nonlinear response functions that describe the cross-peaks in a 2D electronic spectrum of a multilevel system that arise from processes sharing a common ground state and/or from internal conversion and population transfer. We can use the center line slope (CLS) analysis to characterize the cross-peaks in conjunction with the diagonal peaks. This allows us to recover the frequency-fluctuation cross-correlation functions (FXCFs) between two transitions. The FXCF and its subsidiary quantities such as the initial correlation and the initial covariance between different transitions are important for studying the correlation effects between states in complex systems, such as energy-transfer processes. Furthermore, knowledge of how various molecular processes over different timescales affect simultaneously different transitions can also be obtained from the measured FXCF. We validated and tested our derived equations and analysis process by studying, as an example, the 2D electronic spectra of metal-free phthalocyanine in solution. We measured and analyzed the diagonal peaks of the Qx and Qy transitions and the cross-peaks between these two transitions of this multilevel electronic system and obtained the associated FFCFs and FXCFs. In this model system, we measured negative components of FXCF over the tens of picosecond timescale. This suggests that in phthalocyanine, the Qx and Qy transitions coupling with the solvent molecule motion are anticorrelated to each other.
  3. Yong PYA, Yip AJW, Islam F, Hong HJ, Teh YE, Tham CL, et al.
    BMC Complement Med Ther, 2023 Sep 04;23(1):307.
    PMID: 37667314 DOI: 10.1186/s12906-023-04129-y
    BACKGROUND: Allergy is an inflammatory disorder affecting around 20% of the global population. The adverse effects of current conventional treatments give rise to the increased popularity of using natural food products as complementary and alternative medicine against allergic diseases. Stingless bee honey, commonly known as Kelulut honey (KH) in Malaysia, has been used locally as a traditional remedy to relieve cough and asthma. This study evaluated the anti-allergic potential of KH collected from four different botanical sources on phorbol ester 12-myristate-3-acetate and calcium ionophore-activated human mast cells.

    METHODS: The present study examined the inhibitory effects of all collected honey on the release of selected inflammatory mediators, such as tumor necrosis factor-α (TNF-α), interleukin (IL)-4, IL-6, IL-8, histamine, and β-hexosaminidase in an activated HMC. Besides that, all honey's total phenolic content (TPC) was also examined, followed by using liquid chromatography with tandem mass spectrometry (LC-MS/MS) to identify the phytochemicals in the honey. Further examination of the identified phytochemicals on their potential interaction with selected signaling molecules in an activated mast cell was conducted using computational methods.

    RESULTS: The results indicated that there were significant inhibitory effects on all selected inflammatory mediators' release by KH sourced from bamboo (BH) and rubber tree (RH) at 0.5% and 1%, but not KH sourced from mango (AH) and noni (EH). BH and RH were found to have higher TPC values and were rich in their phytochemical profiles based on the LC-MS/MS results. Computational studies were employed to determine the possible molecular target of KH through molecular docking using HADDOCK and PRODIGY web servers.

    CONCLUSIONS: In short, the results indicated that KH possesses anti-allergic effects towards an activated HMC, possibly by targeting downstream MAPKs. However, their anti-allergic effects may vary according to their botanical sources. Nevertheless, the present study has provided insight into the potential application of stingless bee honey as a complementary and alternative medicine to treat various allergic diseases.

  4. Loh HW, Ooi CP, Oh SL, Barua PD, Tan YR, Molinari F, et al.
    Comput Methods Programs Biomed, 2023 Nov;241:107775.
    PMID: 37651817 DOI: 10.1016/j.cmpb.2023.107775
    BACKGROUND AND OBJECTIVE: Attention Deficit Hyperactivity problem (ADHD) is a common neurodevelopment problem in children and adolescents that can lead to long-term challenges in life outcomes if left untreated. Also, ADHD is frequently associated with Conduct Disorder (CD), and multiple research have found similarities in clinical signs and behavioral symptoms between both diseases, making differentiation between ADHD, ADHD comorbid with CD (ADHD+CD), and CD a subjective diagnosis. Therefore, the goal of this pilot study is to create the first explainable deep learning (DL) model for objective ECG-based ADHD/CD diagnosis as having an objective biomarker may improve diagnostic accuracy.

    METHODS: The dataset used in this study consist of ECG data collected from 45 ADHD, 62 ADHD+CD, and 16 CD patients at the Child Guidance Clinic in Singapore. The ECG data were segmented into 2 s epochs and directly used to train our 1-dimensional (1D) convolutional neural network (CNN) model.

    RESULTS: The proposed model yielded 96.04% classification accuracy, 96.26% precision, 95.99% sensitivity, and 96.11% F1-score. The Gradient-weighted class activation mapping (Grad-CAM) function was also used to highlight the important ECG characteristics at specific time points that most impact the classification score.

    CONCLUSION: In addition to achieving model performance results with our suggested DL method, Grad-CAM's implementation also offers vital temporal data that clinicians and other mental healthcare professionals can use to make wise medical judgments. We hope that by conducting this pilot study, we will be able to encourage larger-scale research with a larger biosignal dataset. Hence allowing biosignal-based computer-aided diagnostic (CAD) tools to be implemented in healthcare and ambulatory settings, as ECG can be easily obtained via wearable devices such as smartwatches.

  5. Hazrin NA, Chong KL, Huang YF, Ahmed AN, Ng JL, Koo CH, et al.
    Heliyon, 2023 Sep;9(9):e19426.
    PMID: 37662729 DOI: 10.1016/j.heliyon.2023.e19426
    In consideration of the distinct behavior of machine learning (ML) algorithms, six well-defined ML used were carried out in this study for predicting sea level on a day-to-day basis. Data compiled from 1985 to 2018 was utilized for training and testing the developed models. An assessment of the multiple statistics-driven regression algorithms resulted such that each tested location was associated with a particular preferred model. The following were the developed best models for their respective study areas: In Peninsular Malaysia, the interactions linear regression model was the best at Pulau Langkawi (RMSE = 19.066), the Matern 5/2 gaussian process regression model at Geting (RMSE = 49.891), and the trilayered artificial neural network at Pulau Pinang (RMSE = 20.026), while the linear regression model was the best at Sandakan in Sabah, East Malaysia (RMSE = 14.054). Other metrics, such as MAE and R-square, were also at their best values, each providing its best values, further substantiating the RMSE respectively, at each of the study areas. These empirical statistics (or metrics) also revealed that despite employing sea level as the sole parameter, results obtained were exceptional better when utilizing a 7-day lag, regardless of the model used. Notably, lag variables with less than a 7-day lag could degrade the model's accuracy in representing ground reality. The study emphasizes the importance of thorough training and testing of ML to aid decision-makers in developing mitigation actions for the climate change phenomena of sea level rise through reliable ML.
  6. Ng CB, Tan YL, Kamaludin RS, Chang CT, Chew CC, Foong WK, et al.
    J Pharm Policy Pract, 2023 Jul 10;16(1):85.
    PMID: 37430298 DOI: 10.1186/s40545-023-00579-4
    BACKGROUND: COVID-19 pandemic has created challenges to the ward pharmacy practice. Challenges arose due to new norms in the ward pharmacy practice. Adaptive measures to overcome these challenges were important to sustain the quality of pharmaceutical care. This study aimed to identify the perceived challenges and attitudes towards adaptive measures in the ward pharmacy practice during the COVID-19 pandemic and determined their association with pharmacists' characteristics.

    METHOD: This cross-sectional study was conducted in 14 Perak state hospitals and 12 primary health clinics through an online survey. All ward pharmacists and trainee pharmacists with at least 1 month of ward pharmacy experience and working in government-funded health facilities were included. The validated survey tool consisted of demographic characteristics, pharmacists' experience towards challenges (22 items), and their attitude towards adaptive measures (9 items). Each item was measured based on a 5-point Likert scale. One-way ANOVA and logistic regression were employed to determine the association of pharmacists' characteristics against their experience and attitude.

    RESULTS: Out of 175 respondents, 144 (81.8%) were female, and 84 (47.7%) were Chinese. Most pharmacists served in the medical ward (124, 70.5%). Commonly reported perceived challenges were difficulties in counselling medication devices (3.63 ± 1.06), difficulties in clerking medication history from family members (3.63 ± 0.99), contacting family members (3.46 ± 0.90), patient's digital illiteracy in virtual counselling (3.43 ± 1.11) and completeness of the electronic records (3.36 ± 0.99). For attitude towards adaptive measures, improving internet connection (4.62 ± 0.58), ensuring availability of multilingual counselling videos (4.45 ± 0.64), and provision of internet-enabled mobile devices (4.39 ± 0.76) were the most agreeable by the pharmacists. Male (AOR: 2.63, CI 1.12-6.16, p = 0.026) and master's degree holders (AOR: 2.79, CI 0.95-8.25, p = 0.063) had greater odds of high perceived challenging experience scores. Master's degree holders (AOR: 8.56, CI 1.741-42.069, p = 0.008) were also more likely to have a positive attitude score towards adaptive measures.

    CONCLUSION: Pharmacists faced multiple challenges in the ward pharmacy practice during the COVID-19 pandemic, especially in medication history assessment and patient counselling. Pharmacists, especially those with higher levels of education and longer tenure, exhibited a higher level of agreement towards the adaptive measures. The positive attitudes of pharmacists towards various adaptive measures, such as improvement of internet infrastructure and digital health literacy among patients and family members, warrant immediate action plans from health authorities.

  7. Thomas AR, Reddy TVK, Tan JY, Qing SEJ, Qing CS, Xuan LY, et al.
    J Contemp Dent Pract, 2023 Apr 01;24(4):221-227.
    PMID: 37469260 DOI: 10.5005/jp-journals-10024-3471
    AIM: The purpose of this study was to evaluate and compare the canal transportation tendencies and centering ability of the TruNatomy shaper (TN) and XP-endo shaper (XPS) rotary systems in oval-shaped canals with moderate root curvature (15°-25°), using cone-beam computed tomography (CBCT) imaging.

    MATERIALS AND METHODS: Sixty single-rooted permanent human teeth were chosen after considering the inclusion and exclusion criteria. The teeth were divided into two groups (n = 30). The test group was instrumented with TN files and the other with XPS according to manufacturer's instructions. CBCT images were taken before and after instrumentation to record the root canal distances from mesial, distal, buccal, and lingual borders of the root at 3, 5, and 7 mm distances from the root apex using a specific formula. Statistical analysis was done using the Statistical Package for the Social Sciences software program, version 20.0. The data were analyzed using the unpaired t test.

    RESULTS: Both TN and XPS were safe for use in oval-shaped canals with moderate root curvature. However, the XPS showed higher buccolingual transportation as compared with TN at 3 mm from the apex and higher mesiodistal transportation at 3 and 5 mm levels from the apex as compared with TN.

    CONCLUSION: Canal transportation has been detected in both systems; however, the values obtained were within the safe range (<0.3 mm). Overall, no significant difference was observed between TN and XPS (p > 0.05) in their canal transportation tendencies and centering ability.

    CLINICAL SIGNIFICANCE: The study assesses the canal centering and transportation tendencies of the recently launched TN rotary system in extracted teeth with a combination of morphologies. The findings of the study are significant clinically as minimum transportation of the canal, minimal dentin removal, efficient disinfection, and three-dimensional obturation of the root canal are considered important factors in deciding the prognosis of endodontic therapy.

  8. Bong May Ing J, Singh DKA, Tan MP, Adam Bujang M, Tiong IK, Whitney J, et al.
    Australas J Ageing, 2023 Dec;42(4):624-637.
    PMID: 37465973 DOI: 10.1111/ajag.13227
    OBJECTIVES: Southeast Asia (SEA) is a rapidly ageing and a diversely populated region that requires strategies to maintain its populations' physical activity and sense of well-being. While the benefits of group exercise programs are known, the characteristics and types of exercises in terms of their effectiveness for physical function and fidelity of the programs have yet to be defined within this population.

    METHODS: Ovid, MEDLINE, Scopus, PEDro (Physiotherapy Evidence Database), EBSCOHOST, Cochrane library and Open Grey databases were searched to identify relevant studies. Methodological quality was assessed using the PEDro Scale and the Newcastle Ottawa Scale (NOS). Meta-analysis was undertaken when the same outcome measures were reported in a minimum of two studies with appropriate data. (PROSPERO: CRD42020177317).

    RESULTS: Eleven studies with 900 participants were included, out of which 395 participants were allocated to group exercise programs and 383 completed the program. Culturally adapted Thai dance programs and multicomponent exercise programs were the most-commonly reported group exercises. The Timed Up and Go test (TUG) and attendance rates were the most-frequently reported outcomes. Meta-analysis demonstrated significant improvement in physical function assessed using the Timed Up and Go test (Random effect model -1.27 s, 95% CI -1.65, -0.88, I2  = 74%). In two studies, adherence (81% and 94%) and dropout rates (4% and 19%) were reported.

    CONCLUSIONS: Group-based exercise programs in Southeast Asia consisting mostly of culturally adapted Thai dance programs and multicomponent exercise programs appear to have positive effects on physical function. However, better descriptions of fidelity, including adherence, are required in future studies.

  9. Hon KL, Tan YW, Leung KKY, Hui WF, Tang SF, Qian SY, et al.
    Curr Pediatr Rev, 2023 Jul 18.
    PMID: 37461365 DOI: 10.2174/1573396320666230718100609
  10. Suen JW, Elumalai NK, Debnath S, Mubarak NM, Lim CI, Reddy Moola M, et al.
    Molecules, 2023 Jul 04;28(13).
    PMID: 37446854 DOI: 10.3390/molecules28135192
    Ionogels are hybrid materials comprising an ionic liquid confined within a polymer matrix. They have garnered significant interest due to their unique properties, such as high ionic conductivity, mechanical stability, and wide electrochemical stability. These properties make ionogels suitable for various applications, including energy storage devices, sensors, and solar cells. However, optimizing the electrochemical performance of ionogels remains a challenge, as the relationship between specific capacitance, ionic conductivity, and electrolyte solution concentration is yet to be fully understood. In this study, we investigate the impact of electrolyte solution concentration on the electrochemical properties of ionogels to identify the correlation for enhanced performance. Our findings demonstrate a clear relationship between the specific capacitance and ionic conductivity of ionogels, which depends on the availability of mobile ions. The reduced number of ions at low electrolyte solution concentrations leads to decreased ionic conductivity and specific capacitance due to the scarcity of a double layer, constraining charge storage capacity. However, at a 31 vol% electrolyte solution concentration, an ample quantity of ions becomes accessible, resulting in increased ionic conductivity and specific capacitance, reaching maximum values of 58 ± 1.48 μS/cm and 45.74 F/g, respectively. Furthermore, the synthesized ionogel demonstrates a wide electrochemical stability of 3.5 V, enabling diverse practical applications. This study provides valuable insights into determining the optimal electrolyte solution concentration for enhancing ionogel electrochemical performance for energy applications. It highlights the impact of ion pairs and aggregates on ion mobility within ionogels, subsequently affecting their resultant electrochemical properties.
  11. Tan TYC, Lim XY, Norahmad NA, Chanthira Kumar H, Teh BP, Lai NM, et al.
    Molecules, 2023 Aug 02;28(15).
    PMID: 37570794 DOI: 10.3390/molecules28155824
    Apium graveolens is an indigenous plant in the family Apiaceae, or Umbelliferae, that contains many active compounds. It has been used traditionally to treat arthritic conditions, gout, and urinary infections. The authors conducted a scoping review to assess the quality of available evidence on the overall effects of celery when treating neurological disorders. A systematic search was performed using predetermined keywords in selected electronic databases. The 26 articles included upon screening consisted of 19 in vivo studies, 1 published clinical trial, 4 in vitro studies and 2 studies comprising both in vivo and in vitro methods. A. graveolens and its bioactive phytoconstituent, 3-n-butylphthalide (NBP), have demonstrated their effect on neurological disorders such as Alzheimer's disease, Parkinson's disease, stroke-related neurological complications, depression, diabetes-related neurological complications, and epilepsy. The safety findings were minimal, showing that NBP is safe for up to 18 weeks at 15 mg/kg in animal studies, while there were adverse effects (7%) reported when consuming NBP for 24 weeks at 600 mg daily in human trials. In conclusion, the safety of A. graveolens extract and NBP can be further investigated clinically on different neurological disorders based on their potential role in different targeted pathways.
  12. Chen Y, Gong Y, Shan L, Tan CY, Al-Furjan MS, Ramesh S, et al.
    Materials (Basel), 2023 Jul 28;16(15).
    PMID: 37570016 DOI: 10.3390/ma16155312
    Cartilage damage is difficult to heal and poses a serious problem to human health as it can lead to osteoarthritis. In this work, we explore the application of biological 3D printing to manufacture new cartilage scaffolds to promote cartilage regeneration. The hydrogel made by mixing sodium alginate (SA) and gelatin (GA) has high biocompatibility, but its mechanical properties are poor. The addition of hydroxyapatite (HA) can enhance its mechanical properties. In this paper, the preparation scheme of the SA-GA-HA composite hydrogel cartilage scaffold was explored, the scaffolds prepared with different concentrations were compared, and better formulations were obtained for printing and testing. Mathematical modeling of the printing process of the bracket, simulation analysis of the printing process based on the mathematical model, and adjustment of actual printing parameters based on the results of the simulation were performed. The cartilage scaffold, which was printed using Bioplotter 3D printer, exhibited useful mechanical properties suitable for practical needs. In addition, ATDC-5 cells were seeded on the cartilage scaffolds and the cell survival rate was found to be higher after one week. The findings demonstrated that the fabricated chondrocyte scaffolds had better mechanical properties and biocompatibility, providing a new scaffold strategy for cartilage tissue regeneration.
  13. Erten M, Tuncer I, Barua PD, Yildirim K, Dogan S, Tuncer T, et al.
    J Digit Imaging, 2023 Aug;36(4):1675-1686.
    PMID: 37131063 DOI: 10.1007/s10278-023-00827-8
    Microscopic examination of urinary sediments is a common laboratory procedure. Automated image-based classification of urinary sediments can reduce analysis time and costs. Inspired by cryptographic mixing protocols and computer vision, we developed an image classification model that combines a novel Arnold Cat Map (ACM)- and fixed-size patch-based mixer algorithm with transfer learning for deep feature extraction. Our study dataset comprised 6,687 urinary sediment images belonging to seven classes: Cast, Crystal, Epithelia, Epithelial nuclei, Erythrocyte, Leukocyte, and Mycete. The developed model consists of four layers: (1) an ACM-based mixer to generate mixed images from resized 224 × 224 input images using fixed-size 16 × 16 patches; (2) DenseNet201 pre-trained on ImageNet1K to extract 1,920 features from each raw input image, and its six corresponding mixed images were concatenated to form a final feature vector of length 13,440; (3) iterative neighborhood component analysis to select the most discriminative feature vector of optimal length 342, determined using a k-nearest neighbor (kNN)-based loss function calculator; and (4) shallow kNN-based classification with ten-fold cross-validation. Our model achieved 98.52% overall accuracy for seven-class classification, outperforming published models for urinary cell and sediment analysis. We demonstrated the feasibility and accuracy of deep feature engineering using an ACM-based mixer algorithm for image preprocessing combined with pre-trained DenseNet201 for feature extraction. The classification model was both demonstrably accurate and computationally lightweight, making it ready for implementation in real-world image-based urine sediment analysis applications.
  14. Tan SC, Poh WT, Yong ACH, Chua EW, Ooi J, Mahmud R, et al.
    Cancer Manag Res, 2023;15:851-862.
    PMID: 37636030 DOI: 10.2147/CMAR.S420890
    Considerable progress has been made in cancer drug development in recent decades. However, for people in low- and middle-income countries, including Malaysia, many of these drugs are not readily available. During the 2nd Malaysian Association for Cancer Research (MACR) International Scientific Conference, a forum discussion was held to address these challenges and explore strategies to improve access to cancer medicines in the country. This paper presents the results of the said forum discussion. A few challenges to cancer drug access were highlighted, including lengthy approval and regulatory practices, cost of medicines, and manufacturing barriers. Besides, a few strategies for mitigating some of these challenges were proposed, such as mechanisms for cost reduction, uptake of biosimilars and generics, local manufacturing, public-private partnerships, strengthening the role of insurance companies, funding and regulation, and advocacy for fair pricing, by drawing examples from cancer medicines access initiatives in Malaysia and initiatives for different disease groups. Overall, this paper provides a comprehensive overview of the challenges and strategies for improving access to cancer medicines in Malaysia and provides valuable insights for policymakers, healthcare providers, the pharmaceutical industry, cancer patients, cancer support groups, and other stakeholders working on this important issue.
  15. Kwan Z, Han WH, Yong SS, Faheem NAA, Choong RKJ, Zainuddin SI, et al.
    PMID: 37625380 DOI: 10.1177/10499091231198752
    Skin disorders among individuals receiving palliative care may be associated with the primary condition or underlying comorbidities and patients may experience pruritus, discomfort or pain. Common conditions include xerosis, pressure ulcers, intertrigo, superficial fungal infections, telogen effluvium, pruritus, herpes zoster, eczematous disorders and edema. During end-of-life care, there is reduced skin perfusion and metabolism hence leading to susceptibility to infection, pressure and injury. Other factors affecting the skin include limited mobility, nutritional deficits and immunosuppression. Although treatment strategies for each skin condition are usually aligned with standard protocols, considerations among these patients include limited life-expectancies, potential treatment burden, drug-drug interactions as well as comfort-directed rather than cure-directed therapy. For patients with xerosis cutis, the regular use of moisturisers is recommended. The management and prevention of pressure ulcers include the strategies of skin assessment and care, pressure redistribution, nutrition and hydration and ulcer care. Superficial fungal infections require treatment with appropriate topical and/or systemic antifungals while antivirals and adjunctive treatment can be prescribed for herpes zoster. Treatment and symptom control of skin disorders in this population can improve quality of life and patients' comfort level.
  16. Muzahid NH, Md Zoqratt MZH, Ten KE, Hussain MH, Su TT, Ayub Q, et al.
    Sci Rep, 2023 Aug 03;13(1):12596.
    PMID: 37537198 DOI: 10.1038/s41598-023-39642-0
    Acinetobacter species are widely known opportunistic pathogens causing severe community and healthcare-associated infections. One such emerging pathogen, Acinetobacter colistiniresistens, is known to exhibit intrinsic resistance to colistin. We investigated the molecular characteristics of A. colistiniresistens strain C-214, isolated from the fecal sample of a healthy community member, as part of a cohort study being conducted in Segamat, Malaysia. Comparison of the whole genome sequence of C-214 with other A. colistiniresistens sequences retrieved from the NCBI database showed 95% sequence identity or more with many of the genome sequences representing that species. Use of the Galleria mellonella killing assay showed that C-214 was pathogenic in this model infection system. The strain C-214 had a colistin and polymyxin B MIC of 32 and 16 mg/L, respectively. Besides, it was resistant to cefotaxime, amikacin, and tetracycline and showed moderate biofilm-producing ability. Different genes associated with virulence or resistance to major classes of antibiotics were detected. We observed mutations in lpxA/C/D in C-214 and other A. colistiniresistens strains as probable causes of colistin resistance, but the biological effects of these mutations require further investigation. This study provides genomic insights into A. colistiniresistens, a potentially pathogenic bacterium isolated from a community member and notes the public health threat it may pose.
  17. Tan XH, Chong WL, Lee VS, Abdullah S, Jasni K, Suarni SQ, et al.
    Vaccines (Basel), 2023 Aug 14;11(8).
    PMID: 37631931 DOI: 10.3390/vaccines11081363
    Hand, foot and mouth disease (HFMD) is a childhood disease caused by enterovirus A71 (EV-A71) and coxsackievirus A16 (CV-A16). Capsid loops are important epitopes for EV-A71 and CV-A16. Seven chimeric EV-A71 (ChiE71) involving VP1 BC (45.5% similarity), DE, EF, GH and HI loops, VP2 EF loop and VP3 GH loop (91.3% similarity) were substituted with corresponding CV-A16 loops. Only ChiE71-1-BC, ChiE71-1-EF, ChiE71-1-GH and ChiE71-3-GH were viable. EV-A71 and CV-A16 antiserum neutralized ChiE71-1-BC and ChiE71-1-EF. Mice immunized with inactivated ChiE71 elicited high IgG, IFN-γ, IL-2, IL-4 and IL-10. Neonatal mice receiving passive transfer of WT EV-A71, ChiE71-1-EF and ChiE71-1-BC immune sera had 100%, 80.0% and no survival, respectively, against lethal challenges with EV-A71, suggesting that the substituted CV-A16 loops disrupted EV-A71 immunogenicity. Passive transfer of CV-A16, ChiE71-1-EF and ChiE71-1-BC immune sera provided 40.0%, 20.0% and 42.9% survival, respectively, against CV-A16. One-day-old neonatal mice immunized with WT EV-A71, ChiE71-1-BC, ChiE71-1-EF and CV-A16 achieved 62.5%, 60.0%, 57.1%, and no survival, respectively, after the EV-A71 challenge. Active immunization using CV-A16 provided full protection while WT EV-A71, ChiE71-1-BC and ChiE71-1-EF immunization showed partial cross-protection in CV-A16 lethal challenge with survival rates of 50.0%, 20.0% and 40%, respectively. Disruption of a capsid loop could affect virus immunogenicity, and future vaccine design should include conservation of the enterovirus capsid loops.
  18. Keng ZX, Tan JJM, Phoon BL, Khoo CC, Khoiroh I, Chong S, et al.
    Bioengineering (Basel), 2023 Aug 07;10(8).
    PMID: 37627823 DOI: 10.3390/bioengineering10080938
    This work demonstrated the feasibility of an industrial-scale aerated static pile composting system for treating one of the common biowastes-soybean curd residue. The mixing ratios of the feedstock were optimized to achieve a carbon-nitrogen ratio and a moisture level in the ranges of 25-35 and 60-70%, respectively. This open-air composting system required 6-7 months to obtain a mature compost. Solvita and seed germination tests further confirmed the maturity of the compost, with 25% compost extract concentration yielding the best germination index in the absence of phytotoxicity. The bacterial and fungal compositions of the compost piles were further examined with metagenomic analysis. Thermoactinomyces spp., Oceanobacillus spp., and Kroppenstedtia spp. were among the unique bacteria found, and Diutina rugosa, Thermomyces dupontii, and Candida taylorii were among the unique fungi found in the compost piles, suggesting the presence of good microorganisms for degrading the organic biowastes.
  19. Hisham MB, Hashim AM, Mohd Hanafi N, Abdul Rahman N, Abdul Mutalib NE, Tan CK, et al.
    Sci Rep, 2022 May 02;12(1):7107.
    PMID: 35501317 DOI: 10.1038/s41598-022-08819-4
    Silage produced in tropical countries is prone to spoilage because of high humidity and temperature. Therefore, determining indigenous bacteria as potential inoculants is important to improve silage quality. This study aimed to determine bacterial community and functional changes associated with ensiling using amplicon metagenomics and to predict potential bacterial additives associated with silage quality in the Malaysian climate. Silages of two forage crops (sweet corn and Napier) were prepared, and their fermentation properties and functional bacterial communities were analysed. After ensiling, both silages were predominated by lactic acid bacteria (LAB), and they exhibited good silage quality with significant increment in lactic acid, reductions in pH and water-soluble carbohydrates, low level of acetic acid and the absence of propionic and butyric acid. LAB consortia consisting of homolactic and heterolactic species were proposed to be the potential bacterial additives for sweet corn and Napier silage fermentation. Tax4fun functional prediction revealed metabolic pathways related to fermentation activities (bacterial division, carbohydrate transport and catabolism, and secondary metabolite production) were enriched in ensiled crops (p 
  20. Fung HW, Cong CW, Tan CS, Yuan GF, Liu C, He KL, et al.
    Child Abuse Negl, 2023 Nov;145:106436.
    PMID: 37690435 DOI: 10.1016/j.chiabu.2023.106436
    BACKGROUND: Childhood trauma is one of the most preventable risk factors for mental health problems. Considering the substantial amount of time that young people spend in school during their early years, it is important to understand the potential impacts of teachers' behaviors on students' mental health.

    OBJECTIVES: This study examined the relationship between exposure to teacher violence and mental health problems.

    PARTICIPANTS AND SETTING: An international sample of young adults aged 18 to 24 (N = 283).

    METHODS: Participants completed self-report measures of childhood trauma, exposure to teacher violence, depressive symptoms, post-traumatic stress, and alcohol misuse.

    RESULTS: Exposure to teacher violence could be reliably and validly measured using the Teacher Violence Scale (TVS). Current mental health problems - including depressive symptoms, post-traumatic stress, and alcohol misuse - were associated with exposure to teacher violence during high school years, but not with childhood non-betrayal trauma.

    CONCLUSIONS: Our findings expand the application of the betrayal trauma theory to school settings and point to the importance of preventing and managing teacher violence. It is important to provide more support and training to teachers and enhance monitoring measures in schools. More research on the prevalence and correlates of exposure to teacher violence is needed. We also provided first evidence supporting the reliability and validity of the English version of the TVS to facilitate future research.

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