Browse publications by year: 2025

  1. Chu C, Zhang Y, Yu R, Liu B, Wang B, Xu Z, et al.
    J Investig Med, 2025 Jan;73(1):54-66.
    PMID: 39324215 DOI: 10.1177/10815589241290199
    Cisplatin (DDP) resistance represents a pivotal contributing factor to chemotherapy failure and adverse patient outcomes in gastric cancer (GC). The objective of the present study was to investigate the roles and underlying mechanisms of myocyte enhancer factor 2A (MEF2A) in DDP resistance in GC. GC cell line AGS and MKN-45 cells were applied to construct DDP-resistant cells. CCK-8, colony formation, and flow cytometry methods were validated for determining the IC50 value of DDP and cell survival of GC cells. qRT-PCR and western blotting analysis quantified the molecular levels at mRNA and protein, respectively. Chromatin immunoprecipitation and dual-luciferase assays validated the molecular relationship between MEF2A and NF-κB inhibitor alpha (NFKBIA). Roles of MEF2A in in vivo were performed employing a xenograft model. The results showed that NFKBIA was greatly decreased in DDP-resistant AGS and MKN-45 cells compared to their respective parental cells. Increasing NFKBIA expression impaired the IC50 value of DDP and cell survival in DDP-resistant cells, while these alterations were rescued upon TNF-α treatment. Mechanistically, MEF2A acts as a transcriptional activator of NFKBIA, which led to the reduction of phosphorylation of p65 and cytoplasmic retention. Moreover, MEF2A overexpression promoted the sensitivity of GC cells to DDP and tumor growth, whereas these effects were partially reversed by NFKBIA silence. Collectively, MEF2A mitigated the DDP resistance in GC cells by modulatory actions on the NFKBIA/NF-κB signaling, shedding light on MEF2A/NFKBIA might be a promising intervention target for improving DDP resistance in GC.
    MeSH terms: Animals; Humans; Mice, Nude; Gene Expression Regulation, Neoplastic/drug effects; Xenograft Model Antitumor Assays; Cell Line, Tumor; Mice
  2. Mohd Isa D, Majid HA, Hairi FM, Harun Z, You YX, Abdul Manaf Z, et al.
    Asia Pac J Public Health, 2025 Jan;37(1):43-51.
    PMID: 39668727 DOI: 10.1177/10105395241304069
    Excessive salt or sodium intake is strongly linked to increased blood pressure, which is a major risk factor for cardiovascular diseases. This study aimed to qualitatively explore the views of key stakeholders on salt intake reduction and barriers as well as facilitators to reducing salt intake in Malaysian schools. The stakeholders in this study were school administrators, food operators, and consumers. Their views were determined using in-depth interviews and focus group discussions, and data collected were analyzed using inductive thematic analysis. Salient barriers identified in this study were a lack of knowledge pertaining to salt intake reduction and foods sold outside the school. Meanwhile, key facilitators of salt reduction included few strategies such as public health campaigns, priority toward salt reduction policies, and school-based education programs, alongside support from other relevant stakeholders. Overall, the barriers and facilitators signal the need for implementing salt reduction programs and the collaborative efforts of different stakeholders.
    MeSH terms: Diet, Sodium-Restricted; Female; Health Promotion; Humans; Health Knowledge, Attitudes, Practice; Malaysia; Male; Schools*; Focus Groups*; Sodium Chloride, Dietary*; Qualitative Research*
  3. Sujon MK, Samsurrijal SF, Baharin R, Isa NM, Zabidi MA, Mohd Noor SNF
    J Biomed Mater Res A, 2025 Jan;113(1):e37842.
    PMID: 39668803 DOI: 10.1002/jbm.a.37842
    Gamma irradiation is an effective technique for biocomposite films intended for application in tissue engineering (TE) to ensure sterility and patient safety prior to clinical applications. This study proposed a biocomposite film composed of natural polymer chitosan (CS) and synthetic polymer poly-Ɛ-caprolactone (PCL) reinforced with sol-gel-derived bioactive glass (BG) for potential application in TE. The BG/PCL/CS biocomposite film was sterilized using 25 kGy gamma rays, and subsequent changes in its characteristics were analyzed through mechanical and physical assessment, bioactivity evaluation via immersion in simulated body fluid (SBF) and biocompatibility examination using human primary dermal fibroblasts (HPDFs). Results indicated a homogeneous distribution of BG particles within the BG/PCL/CS polymer matrix which enhanced bioactivity, and the polymer blend provide a structurally stable film. Gamma irradiation induced an increase in the film's surface roughness due to photo-oxidative degradation; however, this did not adversely affect the integrity of glass particles and polymer chains. In vitro assessments demonstrated hydroxyapatite formation on the film's surface, suggesting bioactivity. Biocompatibility testing confirmed enhanced cell adhesion and proliferation. These multifunctional properties highlight the potential of the fabricated BG/PCL/CS biocomposite film for TE and regenerative medicine applications.
    MeSH terms: Cell Adhesion/drug effects; Gamma Rays*; Humans; Materials Testing*; Polyesters/chemistry; Chitosan/pharmacology; Chitosan/chemistry; Cell Proliferation/drug effects
  4. Chundi R, G S, Basivi PK, Tippana A, Hulipalled VR, N P, et al.
    Comput Biol Med, 2025 Feb;185:109537.
    PMID: 39672014 DOI: 10.1016/j.compbiomed.2024.109537
    Early diagnosis and timely initiation of treatment plans for diabetes are crucial for ensuring individuals' well-being. Emerging technologies like artificial intelligence (AI) and computer vision are highly regarded for their ability to enhance the accessibility of large datasets for dynamic training and deliver efficient real-time intelligent technologies and predictable models. The application of AI and computer vision techniques to enhance the analysis of clinical data is referred to as eHealth solutions that employ advanced approaches to aid medical applications. This study examines several advancements and applications of machine learning, deep learning, and machine vision in global perception, with a focus on sustainability. This article discusses the significance of utilizing artificial intelligence and computer vision to detect diabetes, as it has the potential to significantly mitigate harm to human life. This paper provides several comments addressing challenges and recommendations for the use of this technology in the field of diabetes. This study explores the potential of employing Industry 4.0 technologies, including machine learning, deep learning, and computer vision robotics, as effective tools for effectively dealing with diabetes related aspects.
    MeSH terms: Machine Learning; Artificial Intelligence*; Humans; Telemedicine
  5. Hameed I, Khan DM, Ahmed SM, Aftab SS, Fazal H
    Comput Biol Med, 2025 Feb;185:109534.
    PMID: 39672015 DOI: 10.1016/j.compbiomed.2024.109534
    This systematic literature review explores the intersection of neuroscience and deep learning in the context of decoding motor imagery Electroencephalogram (EEG) signals to enhance the quality of life for individuals with motor disabilities. Currently, the most used non-invasive method for measuring brain activity is the EEG, due to its high temporal resolution, user-friendliness, and safety. A Brain Computer Interface (BCI) framework can be made using these signals which can provide a new communication channel to people that are suffering from motor disabilities or other neurological disorders. However, implementing EEG-based BCI systems in real-world scenarios for motor imagery recognition presents challenges, primarily due to the inherent variability among individuals and low signal-to-noise ratio (SNR) of EEG signals. To assist researchers in navigating this complex problem, a comprehensive review article is presented, summarizing the key findings from relevant studies since 2017. This review primarily focuses on the datasets, preprocessing methods, feature extraction techniques, and deep learning models employed by various researchers. This review aims to contribute valuable insights and serve as a resource for researchers, practitioners, and enthusiasts interested in the combination of neuroscience and deep learning, ultimately hoping to contribute to advancements that bridge the gap between the human mind and machine interfaces.
    MeSH terms: Machine Learning*; Brain/physiology; Humans; Imagination/physiology; Signal Processing, Computer-Assisted*; Brain-Computer Interfaces*
  6. Balakumar P, Jagadeesh G
    Cell Signal, 2025 Feb;126:111459.
    PMID: 39389177 DOI: 10.1016/j.cellsig.2024.111459
    Novel perspectives on the role of the renin-angiotensin-aldosterone system (RAAS) offer a groundbreaking understanding of the system's role in health and illness. Our understanding of the role of the RAAS in several diseases, such as heart failure, hypertension, metabolic disorders, and chronic renal disease, has been broadened by recent studies. Specific variations in RAAS pathways can affect the course of disease and response to treatment, as shown by genetic and molecular research. The dynamic and fast-evolving nature of RAAS research described in this special issue might transform our approach to managing renal, neurological, and cardiovascular health, among other disease conditions, including cancer.
    MeSH terms: Animals; Cardiovascular Diseases/genetics; Cardiovascular Diseases/metabolism; Heart Failure/genetics; Heart Failure/metabolism; Humans; Hypertension/metabolism; Renin-Angiotensin System*
  7. Usir E, Ahmad A, Mat NSN, Ahmad N
    Curr Pharm Teach Learn, 2025 Jan;17(1):102214.
    PMID: 39426009 DOI: 10.1016/j.cptl.2024.102214
    INTRODUCTION: Emotional Intelligence (EI) involves skills to recognise, comprehend, and manage emotions that influence thinking. Using EI allows for the integration of emotion into reasoning and problem-solving. If applied effectively, EI can foster positive emotions that promote the deployment of telepharmacy, which involves delivering pharmaceutical services remotely via telecommunication. High acceptance of telepharmacy among users, particularly patients or healthcare providers is associated with their high knowledge, positive perception, and readiness, all influenced by EI. This study investigates undergraduate students' levels of EI, knowledge, degree of perception, and readiness for telepharmacy, examines EI's correlation with all other variables, and compares them across various sociodemographic groups.

    METHODS: A cross-sectional online study involving 455 undergraduate students at Universiti Teknologi MARA Cawangan Selangor (UCS) was conducted using a 74-item survey distributed via Google Forms. Data were analyzed using SPSS version 29.

    RESULTS: Most participants exhibited high EI (53.3 %), average knowledge (53.2 %), positive perception, and high readiness for telepharmacy. EI positively correlated with both perception (p 

    MeSH terms: Adult; Cross-Sectional Studies; Female; Humans; Health Knowledge, Attitudes, Practice; Male; Perception*; Surveys and Questionnaires; Students, Pharmacy/psychology; Students, Pharmacy/statistics & numerical data; Young Adult; Emotional Intelligence*
  8. Hamzaini NN, Ghazali SA, Yusoff AN, Mohd Zaki F, Wan Sulaiman WNA, Dwihapsari Y
    MAGMA, 2025 Feb;38(1):141-160.
    PMID: 39666219 DOI: 10.1007/s10334-024-01216-0
    OBJECT: This study aimed to evaluate the relaxivity and uniformity of agarose gel phantoms added with relaxation modifiers. It is hypothesized that the modifiers could manipulate the T1 and T2 relaxations as well as the signal uniformity.

    MATERIALS AND METHODS: Twenty agarose gel phantoms with different GdCl₃ and FeCl₃ volume fractions were prepared. The phantoms were scanned using a 3-T scanner implementing a turbo spin echo sequence to acquire T1 and T2 images. The SNR of the images were computed using Image-J software from 1, 3, and 25 regions-of-interest (ROIs) and were inverted as T1 and T2 curves.

    RESULTS: With the increase in relaxation modifier content, T1 SNR increased at a faster rate at very short TR and reached saturation at TR well below 400 ms. Agarose gel phantoms containing GdCl3 showed a higher saturation value as compared to phantoms containing FeCl3. For T2 SNR, differences between plots are observed at low TE. As TE gets larger, the SNR between plots is incomparable. The SNR for both groups was uniform among 1, 3, and 25 ROIs.

    DISCUSSIONS: It can be concluded that GdCl₃ and FeCl₃ solutions can be used as effective relaxation modifiers to reduce T1 but not T2 relaxation times.

    MeSH terms: Gels/chemistry; Image Processing, Computer-Assisted/methods; Software; Solutions; Phantoms, Imaging*; Signal-To-Noise Ratio
  9. Mchenga M, Vijayasingham L, RamPrakash R, Remme M
    Appl Health Econ Health Policy, 2025 Mar;23(2):171-181.
    PMID: 39666245 DOI: 10.1007/s40258-024-00930-z
    Economic evaluations play a crucial role in health resource allocation by assessing the costs and effects of various interventions. However, existing methodologies often overlook significant differences related to sex and gender, leading to a 'blind spot' in understanding patient heterogeneity. This paper highlights how biological and social factors influence costs and health outcomes differently for women, emphasising the need for a more explicit consideration of these differences in economic evaluations to ensure efficient and equitable resource allocation. The paper is structured to first outline how sex and gender factors impact costs and outcomes. It then identifies biases in current economic evaluation methods and practices, using real-world examples to illustrate the implications of these biases on policymaking and health equity. Notably, we argue that neglecting gender considerations can lead to inefficiencies and inequities in healthcare resource distribution. Key areas of gender bias include the estimation of productivity losses, quality of life variations and the secondary household effects of interventions. The analysis reveals that women often face higher healthcare costs and experience different health outcomes due to systemic biases in treatment and care. The paper concludes with practical recommendations for analysts, decision makers and research funders, advocating for the integration of sex and gender-responsive methodologies in health economic evaluations. Ultimately, this work calls for a paradigm shift in health economics to better reflect the complexities of sex and gender and improve health outcomes for all.
    MeSH terms: Cost-Benefit Analysis*; Female; Humans; Male; Sex Factors; Health Care Costs/statistics & numerical data; Sexism/economics
  10. Kodama T, Arimura H, Tokuda T, Tanaka K, Yabuuchi H, Gowdh NFM, et al.
    Comput Biol Med, 2025 Feb;185:109519.
    PMID: 39667057 DOI: 10.1016/j.compbiomed.2024.109519
    We hypothesized that persistent lifetime (PLT) images could represent tumor imaging traits, locations, and persistent contrasts of topological components (connected and hole components) corresponding to gene mutations such as epidermal growth factor receptor (EGFR) mutant signs. We aimed to develop a topological radiogenomic approach using PLT images to identify EGFR mutation-positive patients with non-small cell lung cancer (NSCLC). The PLT image was newly proposed to visualize the locations and persistent contrasts of the topological components for a sequence of binary images with consecutive thresholding of an original computed tomography (CT) image. This study employed 226 NSCLC patients (94 mutant and 132 wildtype patients) with pretreatment contrast-enhanced CT images obtained from four datasets from different countries for training and testing prediction models. Two-dimensional (2D) and three-dimensional (3D) PLT images were assumed to characterize specific imaging traits (e.g., air bronchogram sign, cavitation, and ground glass nodule) of EGFR-mutant tumors. Seven types of machine learning classification models were constructed to predict EGFR mutations with significant features selected from 2D-PLT, 3D-PLT, and conventional radiogenomic features. Among the means and standard deviations of the test areas under the receiver operating characteristic curves (AUCs) of all radiogenomic approaches in a four-fold cross-validation test, the 2D-PLT features showed the highest AUC with the lowest standard deviation of 0.927 ± 0.08. The best radiogenomic approaches with the highest AUC were the random forest model trained with the Betti number (BN) map features (AUC = 0.984) in the internal test and the adapting boosting model trained with the BN map features (AUC = 0.717) in the external test. PLT features can be used as radiogenomic imaging biomarkers for the identification of EGFR mutation status in patients with NSCLC.
    MeSH terms: Machine Learning; Aged; Female; Humans; Male; Middle Aged; Mutation*
  11. Saw SN, Yan YY, Ng KH
    Eur J Radiol, 2025 Feb;183:111884.
    PMID: 39667118 DOI: 10.1016/j.ejrad.2024.111884
    The inherent "black box" nature of AI algorithms presents a substantial barrier to the widespread adoption of the technology in clinical settings, leading to a lack of trust among users. This review begins by examining the foundational stages involved in the interpretation of medical images by radiologists and clinicians, encompassing both type 1 (fast thinking - ability of the brain to think and act intuitively) and type 2 (slow analytical - slow analytical, laborious approach to decision-making) decision-making processes. The discussion then delves into current Explainable AI (XAI) approaches, exploring both inherent and post-hoc explainability for medical imaging applications and highlighting the milestones achieved. XAI in medicine refers to AI system designed to provide transparent, interpretable, and understandable reasoning behind AI predictions or decisions. Additionally, the paper showcases some commercial AI medical systems that offer explanations through features such as heatmaps. Opportunities, challenges and potential avenues for advancing the field are also addressed. In conclusion, the review observes that state-of-the-art XAI methods are not mature enough for implementation, as the explanations they provide are challenging for medical experts to comprehend. Deeper understanding of the cognitive mechanisms by medical professionals is important in aiming to develop more interpretable XAI methods.
    MeSH terms: Algorithms; Artificial Intelligence*; Forecasting; Humans; Image Interpretation, Computer-Assisted/methods
  12. Chelvam K, Hanafiah MM, Alkhatib III, Ali SM, Vega LF
    Sci Total Environ, 2025 Jan 01;958:177879.
    PMID: 39667167 DOI: 10.1016/j.scitotenv.2024.177879
    Meeting current decarbonization targets requires a shift to a hydrogen energy nexus, yet, water is a valuable resource for hydrogen production, shifting the perspective to the use of H2S instead within the context of circular economy. A comprehensive understanding of the environmental impacts, using a cradle-to-gate life cycle assessment (LCA), was developed focusing on the operation of hydrogen sulfide-methane reforming (H2SMR) for H2 production benchmarked to conventional technologies, steam methane reforming (SMR) and SMR + carbon capture (CC), as feedstock to produce sustainable fuels (i.e., methanol and ammonia). The environmental impact of the different application routes was evaluated in terms of normalized impact categories and monetized indicators by calculating the environmental damage cost. The results indicated that the environmental impact increased when moving from H2SMR 
  13. Global Nutrition Target Collaborators
    Lancet, 2025 Dec 21;404(10471):2543-2583.
    PMID: 39667386 DOI: 10.1016/S0140-6736(24)01821-X
    BACKGROUND: The six global nutrition targets (GNTs) related to low birthweight, exclusive breastfeeding, child growth (ie, wasting, stunting, and overweight), and anaemia among females of reproductive age were chosen by the World Health Assembly in 2012 as key indicators of maternal and child health, but there has yet to be a comprehensive report on progress for the period 2012 to 2021. We aimed to evaluate levels, trends, and observed-to-expected progress in prevalence and attributable burden from 2012 to 2021, with prevalence projections to 2050, in 204 countries and territories.

    METHODS: The prevalence and attributable burden of each target indicator were estimated by age group, sex, and year in 204 countries and territories from 2012 to 2021 in the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021, the most comprehensive assessment of causes of death, disability, and risk factors to date. Country-specific relative performance to date was evaluated with a Bayesian meta-regression model that compares prevalence to expected values based on Socio-demographic Index (SDI), a composite indicator of societal development status. Target progress was forecasted from 2021 up to 2050 by modelling past trends with meta-regression using a combination of key quantities and then extrapolating future projections of those quantities.

    FINDINGS: In 2021, a few countries had already met some of the GNTs: five for exclusive breastfeeding, four for stunting, 96 for child wasting, and three for child overweight, and none met the target for low birthweight or anaemia in females of reproductive age. Since 2012, the annualised rates of change (ARC) in the prevalence of child overweight increased in 201 countries and territories and ARC in the prevalence of anaemia in females of reproductive age decreased considerably in 26 countries. Between 2012 and 2021, SDI was strongly associated with indicator prevalence, apart from exclusive breastfeeding (|r-|=0·46-0·86). Many countries in sub-Saharan Africa had a decrease in the prevalence of multiple indicators that was more rapid than expected on the basis of SDI (the differences between observed and expected ARCs for child stunting and wasting were -0·5% and -1·3%, respectively). The ARC in the attributable burden of low birthweight, child stunting, and child wasting decreased faster than the ARC of the prevalence for each in most low-income and middle-income countries. In 2030, we project that 94 countries will meet one of the six targets, 21 countries will meet two targets, and 89 countries will not meet any targets. We project that seven countries will meet the target for exclusive breastfeeding, 28 for child stunting, and 101 for child wasting, and no countries will meet the targets for low birthweight, child overweight, and anaemia. In 2050, we project that seven additional countries will meet the target for exclusive breastfeeding, five for low birthweight, 96 for child stunting, nine for child wasting, and one for child overweight, and no countries are projected to meet the anaemia target.

    INTERPRETATION: Based on current levels and past trends, few GNTs will be met by 2030. Major reductions in attributable burden for exclusive breastfeeding and anthropometric indicators should be recognised as huge scientific and policy successes, but the comparative lack of progress in reducing the prevalence of each, along with stagnant anaemia in women of reproductive age and widespread increases in child overweight, suggests a tenuous status quo. Continued investment in preventive and treatment efforts for acute childhood illness is crucial to prevent backsliding. Parallel development of effective treatments, along with commitment to multisectoral, long-term policies to address the determinants and causes of suboptimal nutrition, are sorely needed to gain ground.

    FUNDING: Bill & Melinda Gates Foundation.

    MeSH terms: Adolescent; Adult; Child, Preschool; Female; Forecasting; Humans; Infant; Infant, Low Birth Weight; Infant, Newborn; Male; Middle Aged; Nutritional Status; Global Health*; Prevalence; Wasting Syndrome/epidemiology; Overweight/epidemiology; Young Adult
  14. Gordon-Strachan GM, Parker SY, Harewood HC, Méndez-Lázaro PA, Saketa ST, Parchment KF, et al.
    Lancet Glob Health, 2025 Jan;13(1):e146-e166.
    PMID: 39667387 DOI: 10.1016/S2214-109X(24)00421-2
  15. Devan SS, Ramli R, Alshehade SA, Lim SYM, Mamat N
    Anal Biochem, 2025 Mar;698:115748.
    PMID: 39667549 DOI: 10.1016/j.ab.2024.115748
    Immunoassays could provide valuable insights into disease biomarkers and gut health by measuring fecal proteins. However, reliably isolating intact proteins from feces is challenging due to its heterogeneous and variable composition. This paper aims to review and compare different methods for extracting proteins from fecal samples to make them suitable for immunoassay analysis. Mechanical homogenization helps release proteins by disrupting solids, while protease inhibitors preserve protein integrity. Detergents like SDS solubilize proteins by disrupting hydrophobic interactions. Organic solvents such as acetone precipitate proteins and remove contaminants. Thermal treatment denatures proteases. Immunocapture uses antibodies to purify target proteins away from interference selectively. Commercial kits contain optimized buffers but may be cost-prohibitive. Combining mechanical, chemical, and immunological techniques synergistically integrates their advantages, improving the recovery of native proteins with reduced matrix effects. While all methods have merits, tailored protocols integrating multiple mechanisms appear most promising for extracting immunoassay-suitable fecal proteins. Further optimization and standardization of such combination approaches matched to proteins and assays of interest helps expand noninvasive fecal proteome analysis.
    MeSH terms: Animals; Humans; Immunoassay/methods; Proteins/analysis; Proteins/isolation & purification
  16. Kazim AR, Nasir DM, Tan TK, Yin VW, Noh AAM, Heo CC, et al.
    Acta Trop, 2025 Jan;261:107496.
    PMID: 39667694 DOI: 10.1016/j.actatropica.2024.107496
    Nymphal and larval Amblyomma cordiferum ticks, a relatively rare species, were collected from the Malaysian house rat (Rattus rattus diardii) in Peninsular Malaysia. Redescription and molecular analysis of nymphs and larvae, based on the 12S rRNA, 16S rRNA, and COI genes, revealed divergence from A. cordiferum in Taiwan, suggesting that the Taiwanese tick specimens may represent a different taxon. Molecular analysis of the pathogens in these specimens revealed three sequences of Rickettsia closely related or identical to Rickettsia raoultii (99.71-100%), two sequences of relapsing fever Borrelia identical to Borrelia theileri, and four sequences of Bartonella identical to Bartonella phoceensis. This study also identifies a new host record for A. cordiferum in R. r. diardii and reports the first detection of Rickettsia, Borrelia, and Bartonella in this tick species.
    MeSH terms: Animals; Electron Transport Complex IV/genetics; DNA, Bacterial/genetics; DNA, Ribosomal/genetics; DNA, Ribosomal/chemistry; Malaysia; Phylogeny*; RNA, Bacterial/genetics; RNA, Ribosomal/genetics; Tick Infestations/veterinary; Sequence Analysis, DNA; Rats
  17. Bahari Z, Aziz AR, Safii NS, Che Muhamed AM
    Appl Physiol Nutr Metab, 2025 Jan 01;50:1-15.
    PMID: 39499905 DOI: 10.1139/apnm-2024-0219
    Relative to exercise in a thermoneutral environment, there is only limited evidence demonstrating that a low glycaemic index (LGI) pre-exercise meal can enhance endurance exercise performance in a hot-humid (HH) condition. Also, previous studies predominantly utilised Western-based and single food items, with minimal focus on Asian-based mixed meals. This study aimed to investigate the impact of pre-exercise LGI and high glycaemic index (HGI) rice-based mixed meals on endurance performance among acclimatised trained athletes in HH condition (32 °C, 65% relative humidity). Twelve native-born endurance-trained male runners (age 22.0 ± 5.8 years; peak oxygen consumption (V̇O2peak) 64.2 ± 5.5 mL kg-1 min-1) completed two trials consisting of 45 min steady-state (SS) run at 70% V̇O2peak followed by 10 km performance run (TT10km). Three hours before exercise, participants consumed an isocaloric rice-based mixed meals containing either LGI (GI value = 47) or HGI (GI value = 80), providing 1.3 g of carbohydrate (CHO) per kg of body mass. Participants ran faster during TT10 km after consuming the LGI meal compared to the HGI meal (LGI: 55.18 ± 1.22 vs. HGI: 57.03 ± 2.25 min, p = 0.010). End rectal temperature did not significantly differ between trials (LGI: 39.16 ± 0.74 vs. HGI: 38.95 ± 0.46 °C, p = 0.352). Fat oxidation was higher during the SS run in the LGI compared to the HGI trial (LGI: 0.19 ± 0.05 vs. HGI: 0.13 ± 0.19 g min-1, p = 0.001). This study demonstrated that, relative to HGI, consuming a pre-exercise LGI rice-based mixed meal enhanced endurance performance in HH environment among acclimatised trained male athletes.
    MeSH terms: Adult; Blood Glucose/metabolism; Dietary Carbohydrates/administration & dosage; Hot Temperature*; Humans; Humidity*; Male; Oxidation-Reduction*; Oxygen Consumption*; Oryza*; Glycemic Index*; Athletic Performance/physiology; Young Adult; Meals/physiology
  18. Loo CY, Traini D, Young PM, Yeung S, Leong CR, Lee WH
    Nanomedicine (Lond), 2025 Jan;20(2):141-153.
    PMID: 39660666 DOI: 10.1080/17435889.2024.2439241
    INTRODUCTION: Inhalation drug delivery can deliver high doses of chemotherapeutic drugs to the lung tumor. This study evaluates the efficacy and the mechanistic pathways of nebulized Cur NPs at various sizes to treat multidrug resistant lung cancer.

    METHODS AND RESULTS: Cur-NPs (30 nm and 200 nm) were nebulized separately onto the multidrug-resistant lung cancer cells (H69AR). Smaller NPs induced significantly higher cell death owing to a higher rate of particle internalization via dynamin-dependent clathrin-mediated endocytosis. Owing to the higher lysosome trafficking of Cur-NP30 nm compared to Cur-NP200 nm, oxidation of lysosome was higher (0.47 ± 0.08 vs 0.38 ± 0.08), contributing to significantly higher mitochondrial membrane potential loss (1.57 ± 0.17 vs 1.30 ± 0.11). MRP1 level in H69AR cells was reduced from 352 ± 12.3 ng/µg of protein (untreated cells) to 287 ± 12 ng/µg of protein (Cur-NP30 nm) and 303 ± 13.4 ng/µg of protein (Cur-NP200 nm). NF-κB, and various cytokine expressions were reduced after treatment with nebulized Cur-NPs.

    CONCLUSIONS: Nebulized Cur-NPs formulations could be internalized into the H69AR cells. The Cur-NPs toxicity toward the H69AR was size and time-dependent. Cur-NP30 nm was more effective than Cur-NP200 nm to retain within the cells to exert higher oxidative stresss-induced cell death.

    MeSH terms: Administration, Inhalation; Antineoplastic Agents/administration & dosage; Antineoplastic Agents/pharmacology; Antineoplastic Agents/chemistry; Cell Survival/drug effects; Endocytosis/drug effects; Humans; Lysosomes/drug effects; Lysosomes/metabolism; Particle Size*; NF-kappa B/metabolism; Drug Delivery Systems; Multidrug Resistance-Associated Proteins/metabolism; Cell Line, Tumor; Membrane Potential, Mitochondrial/drug effects
  19. Fong SL, Shauna A, Lim KS, Ng CG, Yu X, Lai ST, et al.
    Epilepsy Behav, 2025 Feb;163:110196.
    PMID: 39662320 DOI: 10.1016/j.yebeh.2024.110196
    INTRODUCTION: Psychiatric comorbidities such as depression and anxiety disorders are highly prevalent among people with epilepsy (PWE). These two co-occurring chronic illnesses could lead to double stigma and negatively impact every aspect of psychiatric and epilepsy care for PWE, especially in help-seeking behavior. We aimed to identify the socio-demographic and clinical factors contributing to reluctance to be referred to a psychiatrist among PWE.

    METHODS: A prospective cross-sectional study was conducted at a tertiary teaching hospital in Kuala Lumpur, Malaysia. Psychological screening was done using the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) and General Anxiety Disorder (GAD-7) questionnaire. Patients screened positive were offered psychiatric referrals and given an early psychiatric clinic appointment if they agreed to the referral. The reasons for those who refused the referral were noted.

    RESULTS: Out of 585 patients, 91 (15.5 %) were screened positive for depression and/or anxiety. Eighteen patients were excluded from the study due to pre-existing psychiatric disorders. Of the remaining 73 patients, 23 (31.5 %) agreed to be referred to a psychiatrist. Only 17 (23.3 %) attended the psychiatrist appointment. A total of 11 (15.1 %) and one (1.4 %) patients were subsequently diagnosed with major depressive disorder and generalized anxiety disorder, respectively. Another 50 (68.5 %) patients were not referred to a psychiatrist, predominantly (n = 43, 58.9 %) due to reluctance to be referred to a psychiatrist. The reasons included avoidance of referral likely related to stigma (n = 22, 51.2 %), self-reliance, family and caregivers' disapproval of referral, and logistic difficulty. The mean scores in NDDI-E and GAD-7 in the referred group were higher than the not-referred group but not statistically significant (NDDI-E: 17.8 ± 3.6 vs. 16.5 ± 2.5, p = 0.072; GAD-7: 12.4 ± 5.70 vs. 9.8 ± 5.4, p = 0.061).

    CONCLUSION: A significant number of PWE were reluctant to receive psychiatric referrals predominantly due to self-avoidance or family and caregiver disapproval of referral likely related to stigma. An integrated epilepsy care management model is recommended.

    MeSH terms: Adolescent; Adult; Aged; Mental Disorders/epidemiology; Mental Disorders/psychology; Cross-Sectional Studies; Depression/epidemiology; Depression/psychology; Female; Humans; Malaysia/epidemiology; Male; Middle Aged; Prospective Studies; Psychiatric Status Rating Scales; Psychiatry/statistics & numerical data; Surveys and Questionnaires; Referral and Consultation*; Comorbidity; Young Adult; Social Stigma*
  20. Ching WH, Soon MY, Yee JL, Chia ZJ, Lim KS, Fong SL, et al.
    Epilepsy Behav, 2025 Feb;163:110176.
    PMID: 39662324 DOI: 10.1016/j.yebeh.2024.110176
    OBJECTIVE: Self-stigma means internalizing negative beliefs and attitudes associated with stigmatized identity. This study aimed to translate and validate the Malay and Chinese versions of the Epilepsy Self-Stigma Scale (ESSS).

    METHODS: The Epilepsy Self-Stigma Scale was translated into the Malay (ESSS-M) and Chinese versions (ESSS-C) according to standard principles and were tested in 100 Malay and 100 Chinese-speaking people with epilepsy (PWE) respectively. Psychometric evaluations were done based on equal item variance, convergent and discriminant validity, construct validity and reliability. Correlation analyses were carried out between the ESSS and the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) and Generalized Anxiety Disorder-7 (GAD-7).

    RESULTS: For the ESSS-M, 100 Malay-speaking PWE with a mean age of 42.25 years (±15.18) were recruited. Exploratory factor analysis identified eight items loaded on three factors: "Internalization of stigma", "Societal incomprehension", and "Confidentiality". However, item 1 was loaded under a different component from the initial paper, conceptualized as confidentiality. For the ESSS-C, 100 Chinese-speaking participants with a mean age of 41.07 years (±15.57). Exploratory factor analysis identified three loading factors similar to the original scale: "Internalization of stigma", "Societal incomprehension", and "Confidentiality". Both ESSS-M and ESSS-C scales showed significant correlations with NDDI-E and GAD-7 scores, showcasing substantial construct validity. The Cronbach's alpha values were α = 0.822 for the ESSS-M and α = 0.831 for the ESSS-C.

    CONCLUSION: Both the ESSS-M and ESSS-C were reliable and valid for measuring epilepsy self-stigma among the Malay- and Chinese-speaking PWE in Malaysia.

    MeSH terms: Adult; Aged; China; Factor Analysis, Statistical; Female; Humans; Malaysia; Male; Middle Aged; Psychiatric Status Rating Scales; Psychometrics*; Surveys and Questionnaires; Self Concept; Reproducibility of Results; Young Adult; Social Stigma*
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