Browse publications by year: 2025

  1. Chutturi M, Kelkar BU, Yadav SM, Wibowo ES, Bhuyar P, Naik BP, et al.
    Int J Biol Macromol, 2025 Feb 11.
    PMID: 39947566 DOI: 10.1016/j.ijbiomac.2025.140881
    Nanolignin is a biomacromolecule nanomaterial obtained from lignin, a natural plant polymer. It has attracted considerable attention as a potential nanofiller for polymer composites owing to its remarkable properties, such as biodegradability, antioxidant activity, and high specific surface area. However, the development of biological macromolecule nano lignin-based polymer composites faces several challenges, mainly due to the complex structure and poor chemical compatibility of lignin with most polymers. A comprehensive summary of the functionalization strategies and synthesis techniques for nanolignin is provided in this article. The morphological, structural, and thermal characterization of nanolignin is also reviewed. Furthermore, this review summarizes the recent progress of nanolignin and its composites prepared using various polymers, such as polyvinyl alcohol, poly (methyl methacrylate), polylactic acid, phenol formaldehyde, and natural rubber. This study concludes by outlining the possible uses of nanolignin-reinforced polymer composites and the potential opportunities and disadvantages of using nanolignin as a reinforcement in polymer composites for several value-added applications.
  2. Ng XJK, Mohd Khairuddin AS, Liu HC, Loh TC, Tan JL, Khor SM, et al.
    Clin Chim Acta, 2025 Feb 11;570:120191.
    PMID: 39947574 DOI: 10.1016/j.cca.2025.120191
    Lung cancer is the leading cause of cancer-related deaths worldwide, primarily due to late-stage detection, which limits treatment options. Early detection and screening can increase survival rates, but traditional medical imaging methods are costly and inconvenient. Point-of-care biosensors present a promising alternative, being user-friendly, less labor-intensive, and minimally invasive. With high sensitivity and selectivity, these biosensors detect lung cancer-associated biomarkers, including protein and nucleic acid, in biological fluids such as serum, urine, and saliva. Integrating artificial intelligence (AI) with biosensors has further improved their performance. AI algorithms can analyze complex data, differentiate lung cancer patients from healthy individuals, and even predict the risk of cancer metastasis. Despite these advancements, a comprehensive review of AI-coupled biosensors for lung cancer screening and detection has not yet been conducted. The clinical translation of these biosensors is challenged by a lack of standardization in biomarker selection, the number of biomarkers tested, and the determination of clinical cut-off values. This review focuses on recent advances in biosensors for lung cancer screening and detection, the challenges in their clinical application, and the role of AI in improving biosensor performance. Additionally, it explores future perspectives on the evolution of AI-assisted biosensors into comprehensive health monitoring systems, aiming to bridge the gap between technological innovation and practical clinical use.
  3. Mostafa T, Pinggera GM, Al Hashimi M, Sahin B, Çayan S, Shah R, et al.
    World J Mens Health, 2025 Feb 05.
    PMID: 39947652 DOI: 10.5534/wjmh.240260
    PURPOSE: Premature ejaculation (PE) is a commonly encountered male sexual dysfunction (MSD) with various definitions, diagnostic criteria, and treatment options, leading to significant heterogeneity and controversy in its management. This study aimed to explore the global practice patterns of the diagnosis and management of PE.

    MATERIALS AND METHODS: A cross-sectional, global, online survey on PE was conducted using a questionnaire developed by an international cohort of experts. Results were analyzed using R version 4.1.2. Additionally, expert recommendations were formulated using a modified Delphi method.

    RESULTS: The survey was completed by 264 participants from 41 countries. The majority of respondents were below the age of 45 years and were urologists focusing on andrology and sexual health. PE diagnosis was primarily based (by 61.5%) on an intravaginal ejaculatory latency time of less than one minute. Lifelong PE was the most common category reported (47.7%), and most respondents (84.2%) observed ante-portas PE in less than 25% of cases. Distinguishing PE from erectile dysfunction was challenging for many respondents (60.7%). Diabetes mellitus was the most common comorbidity (17.1%). Pharmacological therapy was the most common treatment method (34.3%), with dapoxetine being the most preferred medication (37.9%). Surgical methods were infrequently used. Emerging treatments like hyaluronic acid gel glans augmentation were favored by only 11.7%. Patient satisfaction was the primary criterion for successful PE treatment (55.9%), and cost was a significant concern for many (35.5%).

    CONCLUSIONS: This global survey highlights significant diversity in the diagnostic and treatment strategies for PE. Standard diagnostic criteria are generally accepted, off-label medication is widely used in therapy, and the role of surgery is still controversial. A multi-modal therapy approach, tailored to the patient's specific needs, is favored. Further research into the neurobiology of PE and the development of effective and safe options is crucial for improving the management of PE.

  4. Ar MNA, Binti Wan Puteh SE, Ibrahim R, Rahman MM, Abdul Karim Z, Bin Ali FZ, et al.
    BMJ Open, 2025 Feb 13;15(2):e091687.
    PMID: 39947822 DOI: 10.1136/bmjopen-2024-091687
    OBJECTIVE: This national study assessed the economic impact of treating patients with antimicrobial resistance (AMR) pathogens within Malaysia's Ministry of Health (MoH) hospitals.

    DESIGN: A cross-sectional study design and top-down costing approach, analysing Malaysian diagnosis-related group (DRG) data for AMR patients admitted to MoH hospitals from 2017 to 2020.

    SETTING AND PARTICIPANTS: A total of 1190 cases were identified using International Statistical Classification of Diseases-10 version 2010 codes for AMR pathogens.

    OUTCOME MEASURES: The study aims to estimate direct healthcare costs for treating AMR patients. Costs per admission were calculated based on each patient's length of stay (LOS). A binary logistic regression model identified cost determinants, with significant factors (p<0.05) further analysed using a multivariate multiple logistic regression. ORs with 95% CIs were determined, and treatment costs were categorised as above or below the annual national base rate.

    RESULTS: Findings showed that costs are influenced by the volume of cases identified through DRG codes and LOS, which averaged between 21.7 and 36.4 days. Median admission costs for AMR patients ranged from RM12 476.28 (IQR RM 15 655.93) to RM19 295.11 (IQR RM20 200.28). Both LOS and total costs increased annually, from RM3 711 046.10 in 2017 to RM9 700 249.08 in 2019. Patients over 56 years old and those with severity levels II and III were more likely exceeding the national base rate.

    CONCLUSIONS: These findings, explaining 9.3% of the variance in the regression model, can inform policies to reduce the economic burden of AMR and improve patient outcomes, highlighting the need for a comprehensive strategy to address this global health threat.

    MeSH terms: Adult; Aged; Cross-Sectional Studies; Diagnosis-Related Groups; Female; Hospitalization/economics; Humans; Malaysia; Male; Middle Aged; Logistic Models; Health Care Costs/statistics & numerical data; Drug Resistance, Bacterial
  5. Kassim NS, Lee LK, Hii KS, Mohd Azmi NF, Baharudin SN, Liu M, et al.
    Harmful Algae, 2025 Feb;142:102795.
    PMID: 39947852 DOI: 10.1016/j.hal.2024.102795
    Harmful algal blooms in the benthic system (BHAB) are a major environmental problem that has increased worldwide in the context of global climate change. While systematic cell-based BHAB monitoring for risk assessment and early warning systems have been recommended, implementation of a standardized sampling method is challenging owing to the benthic nature of these harmful microalgal taxa. This study investigated the molecular diversity of benthic harmful dinoflagellates in tropical reefs of Perhentian Islands, Malaysia, using artificial substrate (AS) and sampling natural substrates (NS), combined with environmental DNA (eDNA) analysis and high-throughput amplicon sequencing targeting the small subunit (SSU) and large subunit (LSU) rDNA markers. Our results revealed that the AS method effectively captured a representative subset of the benthic dinoflagellate community, with significant taxonomic overlap between AS and NS. Both markers enabled high-resolution detection of BHAB taxa, particularly of Gambierdiscus and Ostreopsis, which are challenging to identify by light microscopy. The LSU rDNA marker provided finer taxonomic resolution, capturing a broader range of dinoflagellate species. The molecular approach consistently aligned with cell quantification data, supporting AS and DNA metabarcoding as robust methods for BHAB monitoring. The findings highlight the potential of these methods for early detection, especially areas susceptible for ciguatera and BHAB-related poisoning, offering a systematic approach for routine cell-based monitoring.
    MeSH terms: DNA, Ribosomal/genetics; Malaysia; Biodiversity; Harmful Algal Bloom; Coral Reefs*
  6. Mohd Azmi NF, Hii KS, Liu M, Baharudin SN, Kassim NS, Lee LK, et al.
    Harmful Algae, 2025 Feb;142:102799.
    PMID: 39947868 DOI: 10.1016/j.hal.2025.102799
    The dinoflagellate Tripos furca, known for its frequent and massive blooms in coastal waters, has been associated with significant fish mortality in aquaculture areas. In mid-May 2022, a notable bloom event, characterized by intense red discoloration, was observed along the Penang Strait in the northern Malacca Strait. Our field survey identified a high-density bloom of T. furca. To investigate the mechanisms driving the bloom dynamics of this species, monthly sampling was undertaken until the bloom subsided, covering 19 stations across the Penang Strait. Our results showed that the abundances of T. furca changed over time and space, a bloom peak of 8.2 × 105 cells l-1 was observed in late June, triggered by elevated sea surface temperatures and phosphate availability, while nitrogen was consistently abundant. The bloom's persistence was associated with the influence of the 2020-2022 La Niña and Indian Ocean Dipole, which caused warmer sea temperatures. Metabarcoding of the V7-V9 18S rDNA region revealed high intraspecific genetic diversity within the T. furca bloom subpopulations, suggesting both clonal reproduction and possible sexual processes. The bloom termination was linked to a seasonal shift in temperatures and changes in nutrient regimes that caused a transition of phytoplankton compositions to Noctiluca- and diatom-dominated populations contributed to the bloom's decline. Early detection of the bloom has successfully prevented severe losses to the aquaculture farms in the area, emphasizing the importance of early intervention. This study also enhances our understanding of T. furca bloom dynamics and provides insights into managing harmful algal blooms in tropical coastal regions.
    MeSH terms: Seasons; Temperature; Indian Ocean; Harmful Algal Bloom*
  7. Li H, Jiang Z, Guan Z, Bao Y, Liu Y, Hu T, et al.
    Sci Bull (Beijing), 2025 Jan 27.
    PMID: 39947986 DOI: 10.1016/j.scib.2025.01.034
    Diabetes poses a considerable global health challenge, with varying levels of diabetes knowledge among healthcare professionals, highlighting the importance of diabetes training. Large Language Models (LLMs) provide new insights into diabetes training, but their performance in diabetes-related queries remains uncertain, especially outside the English language like Chinese. We first evaluated the performance of ten LLMs: ChatGPT-3.5, ChatGPT-4.0, Google Bard, LlaMA-7B, LlaMA2-7B, Baidu ERNIE Bot, Ali Tongyi Qianwen, MedGPT, HuatuoGPT, and Chinese LlaMA2-7B on diabetes-related queries, based on the Chinese National Certificate Examination for Primary Diabetes Care in China (NCE-CPDC) and the English Specialty Certificate Examination in Endocrinology and Diabetes of Membership of the Royal College of Physicians of the United Kingdom. Second, we assessed the training of primary care physicians (PCPs) without and with the assistance of ChatGPT-4.0 in the NCE-CPDC examination to ascertain the reliability of LLMs as medical assistants. We found that ChatGPT-4.0 outperformed other LLMs in the English examination, achieving a passing accuracy of 62.50%, which was significantly higher than that of Google Bard, LlaMA-7B, and LlaMA2-7B. For the NCE-CPFC examination, ChatGPT-4.0, Ali Tongyi Qianwen, Baidu ERNIE Bot, Google Bard, MedGPT, and ChatGPT-3.5 successfully passed, whereas LlaMA2-7B, HuatuoGPT, Chinese LLaMA2-7B, and LlaMA-7B failed. ChatGPT-4.0 (84.82%) surpassed all PCPs and assisted most PCPs in the NCE-CPDC examination (improving by 1 %-6.13%). In summary, LLMs demonstrated outstanding competence for diabetes-related questions in both the Chinese and English language, and hold great potential to assist future diabetes training for physicians globally.
  8. Ji C, Ge X, Zhang J, Tong H
    PMID: 39948019 DOI: 10.1016/j.numecd.2025.103848
    BACKGROUND AND AIM: To explore effective preventive strategies for stroke, it is of paramount importance to systematically assess its risk factors. Leveraging the Global Burden of Disease (GBD) data, this study aims to retrospectively analyze the long-term trends and epidemiological characteristics of stroke in China.

    METHODS AND RESULTS: Drawing on the GBD 2021 data, this study conducted a comprehensive analysis of the burden of stroke in the Chinese population, encompassing prevalence, incidence, mortality, years of life lost (YLL), years lived with disability (YLDs), and disability-adjusted life years (DALYs). Subsequently, we examined the temporal trends of these indicators and employed a Joinpoint regression analysis coupled with an age-period-cohort (APC) model to precisely dissect mortality and incidence patterns. Furthermore, we delved into the attributable burden of stroke. The results indicated that the prevalence of stroke in China reached 26 million in 2021, representing a 104.26 % increase since 1990. Compared to 1990, the number of DALYs attributable to stroke increased by 45.25 %. Joinpoint analysis revealed a declining trend in incidence rates, while mortality rates showed a significant reduction. The APC model fitting outcomes suggested that prevalence rates were higher in recent generations than in the past, with an increase observed within the same age cohort. Notably, in 2019, the primary burden of cardiovascular diseases (CVDs) stemmed from metabolic risks, particularly hypertension, followed by air pollution particulate matter as an environmental risk factor.

    CONCLUSIONS: Given China's vast population base and rapid aging process, the burden of stroke has emerged as a significant public health concern.

  9. Liu J, Rong W
    Sci Rep, 2025 Feb 13;15(1):5386.
    PMID: 39948152 DOI: 10.1038/s41598-025-89680-z
    The impact of hypoxic repetitive sprint training on the overall performance of team sports remains controversial due to the specific nature of the exercise capacity required for team sports. While taurine and caffeine are widely utilized as supplements for repetitive sprint exercise in normoxic environments, their efficacy in hypoxic environments remains to be fully understood. Therefore, additional research is needed to explore the role of supplementation in hypoxic conditions. This study was to investigate the effects of caffeine (C), taurine (T), caffeine, and taurine co-ingestion (TC) or placebo (P) on repetitive sprint exercise performance and related physiological responses after exhaustion exercise in team athletes under simulated hypoxic conditions. A double-blind crossover randomized controlled experimental design was employed. 16 male participants (Age:23.69 ± 2.15 years, Body mass: 75.04 ± 7.79 kg, Height:1.78 ± 0.06 m) volunteered to receive four different supplement ingestions to complete the exercise tests: (1) placebo (5 mg/kg maltodextrin), (2) taurine (50 mg/kg), (3) caffeine (5 mg/kg), (4) taurine + caffeine (50 mg/kg + 5 mg/kg). All selected participants were university football players who had undergone rigorous training regimens (85-95% of maximum heart rate, duration of 60 min, with more than five training sessions per week). All participants completed an exhaustion test and subsequent repetitive sprint exercise in a simulated hypoxic environment (A simulation of a soccer game in sports mode). Time to exhaustion (TTE), peak power (PP), and mean power (MP) were recorded at the end of the exhaustion test and during the repetitive sprint exercise, respectively. This study designed an exercise protocol for repetitive sprinting after exhaustion exercise based on the pattern of play in football. The following variables were monitored throughout the experiments: heart rate (HR), blood lactate (B[La]), arterial oxygen saturation (SpO2), dyspnea, and rating of perceived exhaustion (RPE). The Stroop Test was administered at three separate time points: pre-test, mid-test, and post-test, throughout the exercise trial. The countermovement jump test (CMJ) was carried out at three specific time points: before the test, 3 min after the test, and 6 min after the test. The caffeine (C:618.56 + 42.50 s, p = 0.027, d = 0.996) and taurine + caffeine (TC: 613.69 + 37.74 s, p = 0.041, d = 0.902) groups significantly improved time to exhaustion compared to the placebo group. Blood lactate was significantly higher in the taurine + caffeine group than in the placebo group after repetitive sprint exercise (P: 9.87 ± 1.97, TC: 12.31 ± 2.54, p = 0.016). The caffeine group significantly reduced dyspnea, and rating of perceived exhaustion after repetitive sprint exercise (p 
    MeSH terms: Adult; Anoxia/physiopathology; Double-Blind Method; Humans; Male; Exercise/physiology; Cross-Over Studies*; Dietary Supplements; Young Adult
  10. Soomro RB, Al-Rahmi WM, Dahri NA, Almuqren L, Al-Mogren AS, Aldaijy A
    Sci Rep, 2025 Feb 13;15(1):5438.
    PMID: 39948417 DOI: 10.1038/s41598-025-86464-3
    This study investigates the impact of Artificial Intelligence (AI) adoption on the sustainable performance of small and medium-sized enterprises (SMEs). Employing a hybrid quantitative approach, this research combines Partial Least Squares Structural Equation Modeling (PLS-SEM) and Artificial Neural Networks (ANN) to examine the influence of various organizational, technological, and external factors on AI adoption. Key factors considered include top management support, employee capability, customer pressure, complexity, vendor support, and relative advantage. Data collected from 305 SMEs across multiple sectors were analyzed. The results reveal that all the proposed factors significantly and positively affect AI adoption, with top management support, employee capability, and relative advantage being the most influential predictors. Additionally, the adoption of AI technologies substantially enhances the economic, social, and environmental performance of SMEs, reflecting improvements in operational efficiency, cost reduction, and social value creation. The ANN results confirm the robustness of the SEM findings, highlighting the critical role of AI in driving sustainability outcomes. Furthermore, the study emphasizes the positive mediation effects of AI adoption on organizational performance, indicating that AI adoption serves as a key enabler in achieving both short-term operational gains and long-term sustainability objectives. This research contributes to the understanding of AI's transformative role in enhancing the sustainable performance of SMEs in developing economies, offering strategic insights for both policymakers and business leaders.
  11. Mohamed H, Ismail A, Sutan R, Rahman RA, Juval K
    BMC Pregnancy Childbirth, 2025 Feb 13;25(1):153.
    PMID: 39948493 DOI: 10.1186/s12884-025-07209-8
    INTRODUCTION: Digital health technologies have vastly improved monitoring, diagnosis, and care during pregnancy. As expectant mothers increasingly engage with social media, online platforms, and mobile applications, these innovations present valuable opportunities to enhance the quality of maternal healthcare services.

    OBJECTIVE: This review aims to assess the applicability, outcomes, and recent advancement of digital health modalities in antenatal care.

    METHOD: We conducted a scoping review by searching four electronic databases (Scopus, Web of Science, PubMed, EBSCOhost), performing manual searches of Google Scholar, and examining the references of relevant studies. Eligible studies included original research published in English between 2010 and 2024 involving the use of digital health technologies for antenatal care, complying with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping review guidelines.

    RESULTS: One hundred twenty-six eligible articles were identified, with the majority (61.11%) conducted in high-income countries, including the United States, United Kingdom, and Australia. Digital health studies have increased over time, driven by telehealth adoption in affluent nations. Interventions predominantly focused on patient-provider consultations, remote monitoring, and health education, complementing in-person visits or as a substitute when necessary. High levels of acceptance and satisfaction were reported among users. These interventions primarily targeted general maternal care (28.57%), gestational diabetes mellitus (15.07%), and mental health (13.49%) while also addressing gestational weight management, hypertensive disorders, high-risk pregnancies and maternal education. The findings demonstrated positive outcomes in managing clinical conditions, enhancing knowledge, promoting birth preparedness, and improving antenatal care access and utilisation. Additionally, the findings revealed the cost-effectiveness of these approaches in alleviating financial burdens for patients and healthcare systems.

    CONCLUSION: Digital health is emerging as a pivotal tool in maternal and child care, fostering positive outcomes and high acceptance among patients and healthcare providers. Its integration into antenatal care ensures the maintenance of standard care quality, with no adverse effects reported despite limited discussions on safety and privacy concerns. As these technologies continue to evolve, they are set to redefine antenatal care by offering more accessible, efficient, and patient-centred solutions, ultimately shaping the future of maternal healthcare delivery.

    MeSH terms: Female; Humans; Pregnancy; Telemedicine*
  12. Khan AM, Eusufzai SZ, Farook TH, Sharmin M, Shohid S, Shahed L, et al.
    BMC Oral Health, 2025 Feb 13;25(1):233.
    PMID: 39948498 DOI: 10.1186/s12903-025-05535-z
    BACKGROUND: Children born into prostitution often face significant barriers in accessing healthcare, including oral health services. This study aimed to assess the knowledge, attitudes, and practices (KAP) of female sex workers (FSWs) regarding their school-going children's oral health, as well as the oral health status of these children in Dhaka, Bangladesh.

    MATERIALS AND METHODS: A cross-sectional study was conducted from March 2023 to February 2024 with a sample of 180 FSW mothers/institutional caregivers and their school-going children between ages 7 to 17. A semi-structured questionnaire was used to collect data on KAP. The children's oral health was assessed using the DMFT/dmft index for caries and the gingival index (GI) for gingival health, while plaque and calculus levels were measured using the plaque index (PI) and calculus index (CI), respectively.

    RESULTS: Among the FSW mothers/ institutional caregivers, 79% had good knowledge of oral health, 77.2% displayed a positive attitude, and 62.8% were informed about proper oral health practices. FSW mothers/ institutional caregivers who had higher educational attainment were three times more likely to practice good oral hygiene compared to those with lower-educated caregivers (OR = 3.27, β = 1.11, p 

    MeSH terms: Adolescent; Adult; Bangladesh; Child; Cross-Sectional Studies; Female; Humans; Health Knowledge, Attitudes, Practice*; Mothers/education; Mothers/psychology; Oral Health*; Surveys and Questionnaires
  13. Mohd Ujang IR, Ab Hamid J, Hamidi N, Ab Rahman AA, Sooryanarayana R
    Int J Equity Health, 2025 Feb 13;24(1):43.
    PMID: 39948569 DOI: 10.1186/s12939-025-02406-5
    BACKGROUND: The COVID-19 pandemic significantly affected healthcare utilisation worldwide, underscoring the importance of monitoring it to indicate whether essential health services were maintained during crises. This study explored how the pandemic affected outpatient department (OPD) utilisation in public primary care facilities in Malaysia by analysing utilisation trends and comparing it across geographical regions, including urban-rural disparities.

    METHODS: Monthly OPD attendance from 1,053 public primary care health clinics in Malaysia, from January 1, 2019, to June 30, 2021, was analysed. The study duration was divided into four distinct periods: pre-pandemic, pandemic with the first lockdown implementation, pandemic after the first lockdown was lifted, and pandemic with the second lockdown implementation. An interrupted time series analysis was conducted to assess the impact of different interventions at national, regional, urban-rural, and district levels. Data were then aggregated at the district level and the utilisation changes were visualised in a choropleth map. Additionally, simple linear regression (SLR) was performed to explore the association between utilisation changes and urbanisation rates of the district, for each period.

    RESULTS: Nationally, OPD utilisation dropped by nearly 13% at the onset of the first lockdown and continued to decline by almost 24% monthly thereafter. In terms of urban-rural differences, urban areas in the Central and Eastern Regions showed greater fluctuations in OPD utilisation during different periods. Results from the SLR revealed that higher urbanisation rates were associated with more pronounced changes in utilisation, although the direction of these changes varied across time periods.

    CONCLUSION: The OPD utilisation was affected during the COVID-19 and sporadic urban-rural differences were observed in some areas of the country. This study offers important insights into the geographic and urban-rural patterns of healthcare utilisation during the pandemic, which are crucial in improving healthcare equity in Malaysia.

    MeSH terms: Ambulatory Care/statistics & numerical data; Humans; Malaysia/epidemiology; Patient Acceptance of Health Care/statistics & numerical data; Retrospective Studies; Urban Population/statistics & numerical data; Pandemics; Spatio-Temporal Analysis*; Interrupted Time Series Analysis
  14. Tiong SQ, Mohgan RN, Quek JY, Liew JYS, Wong GYS, Thang ZQ, et al.
    Neurol Res Int, 2025;2025:8948290.
    PMID: 39949498 DOI: 10.1155/nri/8948290
    Background: Abnormal elevation of transforming growth factor-beta (TGF-β) has been observed among Alzheimer's disease (AD) patients. This may be due to microglia-mediated release of proinflammatory cytokines, which promote neuroinflammation and neuronal apoptosis. Silencing of TGFBR1, a gene encoding TGF-β receptor type I (TGF-βR1), has resulted in neuronal survival from amyloid-beta (Aβ)-induced neurotoxicity. Therefore, the present study investigated the neuroprotective effect of TGF-βR1 inhibitors (RepSox, Galunisertib, and Vactosertib) against Aβ-induced direct neurotoxicity and microglia-mediated neuroinflammation. Methods: The neuroprotective effect of TGF-βR1 inhibitors against Aβ-induced direct neurotoxicity and microglia-mediated neuroinflammation were investigated using the RealTime-Glo™ MT Cell Viability Assay. The inhibitory effect of TGF-βR1 inhibitors on Aβ-induced microglia-mediated production of proinflammatory cytokines (TNF-α and IL-1β) was determined using enzyme-linked immunosorbent assay (ELISA). Results: TGF-βR1 inhibitors (RepSox, Galunisertib, and Vactosertib) at the tested concentrations (6.25-150 nM) showed no significant cytotoxicity effects on SH-SY5Y and BV-2 cells. Moreover, treatments with these inhibitors exhibited neuroprotection on SH-SY5Y cells against Aβ-induced direct neurotoxicity. The trend of cell viability after 24 h treatment also supports the microscopic images of the cells' morphology. Furthermore, pretreatment with these inhibitors conferred indirect neuroprotective effect against Aβ-induced microglia-mediated neuroinflammation by attenuating the production of proinflammatory cytokines (TNF-α and IL-1β). Conclusion: The inhibition of the TGF-β signaling pathway in neuronal and microglia cells by TGF-βR1 inhibitors resulted in neuroprotection against Aβ-induced direct neurotoxicity and microglia-mediated neuroinflammation. Hence, targeting the TGF-β signaling pathway in both neuronal and microglia cells could provide a promising therapeutic strategy in AD.
  15. Ramdzan SN, Khoo EM, Cunningham S, Nathan JJ, Sukri N, Pinnock H
    PMID: 39949647 DOI: 10.51866/oa.675
    INTRODUCTION: The World Health Organization recommends incorporating asthma programmes into national school health services, although this recommendation is rarely implemented.

    METHODS: In Malaysia, we developed a multi-level primary school asthma programme incorporating educational sessions for children with asthma and their parents, raising awareness within the whole school community and training school staff to provide first-aid asthma management. The programme was adapted for delivery during the COVID-19 pandemic, and a mixed-method feasibility study was conducted in October 2020.

    RESULTS: We identified 34 children with asthma, who comprised 3.7% of the school population. Only 14/34 (41.2%) children with asthma and 4/14 (28.5%) of their parents attended the remote sessions. The in-person session for school staff was attended by 55/62 (88.7%), among whom 86.0% rated the session as good/excellent.

    CONCLUSION: The school-based intervention was feasible and received good feedback, despite the COVID-19 pandemic forcing remote delivery. Stakeholder engagement is essential in the development and feasibility of a school-based asthma programme.

  16. Saini N, Saimon R, Safii R, Minoi JL
    PMID: 39949648 DOI: 10.51866/oa.645
    INTRODUCTION: About one-third of Malaysian adolescents engage in sexual activities before the age of 14 years, putting them at risk for unplanned pregnancies and sexually transmitted diseases. However, implementing sex education in Malaysia remains controversial and challenging. Therefore, this study aimed to develop and validate a newly gamified sexual and reproductive health (SRH) education module (ReReki) tailored for Malaysian adolescent boys.

    METHODS: The ReReki module was developed using the analysis, design, development, implementation and evaluation model, based on the theory of planned behaviour. Content validation involved six adolescent health experts, using Russell's model validity approach and a content validity questionnaire. Games were then designed to complement the Sexual and Reproductive Health (SRH) materials. The gamified ReReki module was pre-tested with 20 adolescent boys from a selected school, and the language was refined by a linguistic expert.

    RESULTS: The module included five main topics, 29 subtopics and six games. The overall content validity score based on the survey method was 81.8%, while that based on Russell's model was 79.3%, indicating a high level of validity for the ReReki module. One new topic and two subtopics were added, while two subtopics scoring below 70% were flagged for further review. The adolescent boys expressed their acceptance of the gamified SRH content.

    CONCLUSION: All five main topics, along with the 29 subtopics in the ReReki module, are suitable and ready for use by adolescent boys in the Malaysian context.

  17. Dathini H, Sharoni SKA, Robert K
    PMID: 39949649 DOI: 10.51866/oa.744
    INTRODUCTION: This study aimed to determine the effects of parental short message service (SMS) reminders on infant immunisation coverage, timeliness and barriers and evaluate the effects of sex on immunisation outcomes in Maiduguri, Borno State, Nigeria.

    METHODS: This two-arm quasi-experimental study was conducted in two primary healthcare facilities selected using simple random sampling with opaque envelopes. A total of 524 participants were enrolled using purposive sampling. Data were statistically analysed using the Statistical Package for the Social Sciences version 28 with repeated-measures logistic regression analysis, the Z test for Poisson rates and the Wilcoxon signed-rank test.

    RESULTS: The parental SMS reminders significantly improved the immunisation coverage, as reported by 69 (26.3%) (P=0.001, 95% confidence interval [CI] = 12.2-40.5), 117 (44.7%) (P=0.001, 95% CI=32.6-56.9) and 116 (44.3%) participants (P=0.001, 95% CI=34.2-54.4) for the 6th-, 10th- and 14th-week schedules, respectively. Compared to mothers' involvement, fathers' involvement did not significantly affect the immunisation coverage (B=0.158, P=0.311, 95% CI=-0.148-0.464). With regard to the immunisation timeliness, the parental SMS reminders yielded a significant effect for the 6th-, 10th- and 14th-week schedules (P=0.001, 95% CI=25.9-46.7; P=0.001, 95% CI=24.2-43.0; and P=0.001, 95% CI=21.1-36.9, respectively). Compared to mothers' involvement, fathers' involvement significantly influenced the immunisation timeliness (B=0.298, P=0.038, 95% CI=0.016-0.579). Lastly, the parental SMS reminders significantly reduced the barriers to immunisation, with a P-value of 0.001.

    CONCLUSION: Parental SMS reminders can significantly improve immunisation outcomes in Nigeria.

  18. Loh KJ, Ng ALO, Chia YC, Lee WL, Mohan D, Renganathan E
    PMID: 39949650 DOI: 10.51866/cor.002
    [This corrects the article DOI: 10.51866/cm.674.].
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