Browse publications by year: 2025

  1. Srikrajang S, Kabir L, Sagadevan S, Wijaya K, Oh WC
    J Mater Chem B, 2025 Jan 31.
    PMID: 39886804 DOI: 10.1039/d4tb02478h
    MXenes are a class of 2D transition metal carbides and nitrides (Mn+1XnT) that have attracted significant interest owing to their remarkable potential in various fields. The unique combination of their excellent electromagnetic, optical, mechanical, and physical properties have extended their applications to the biological realm as well. In particular, their ultra-thin layered structure holds specific promise for diverse biomedical applications. This comprehensive review explores the synthesis methods of MXene composites, alongside the biological and medical design strategies that have been employed for their surface engineering. This review delves into the interplay between these strategies and the resulting properties, biological activities, and unique effects at the nano-bio-interface. Furthermore, the latest advancements in MXene-based biomaterials and medicine are systematically summarized. Further discussion on MXene composites designed for various applications, including biosensors, antimicrobial agents, bioimaging, tissue engineering, and regenerative medicine, are also provided. Finally, with a focus on translating research results into real-world applications, this review addresses the current challenges and exciting future prospects of MXene composite-based biomaterials.
  2. Najafi P, Motl RW, Moghadasi M
    Mult Scler Relat Disord, 2025 Jan;93:106225.
    PMID: 39709696 DOI: 10.1016/j.msard.2024.106225
    BACKGROUND: Multiple sclerosis (MS) profoundly influences fatigue, depression, various physical and mental symptoms, and quality of life (QoL). Rehabilitation, including exercise training, has improved outcomes of MS, yet is often undertaken in facilities with direct supervision which present substantial barriers for accessibility and scalability. The delivery of exercise remotely via technology (tele-exercise) might overcome those barriers and improve outcomes in MS. This systematic review and meta-analysis examined the effect of tele-exercise for improving fatigue, depression, and overall health outcomes in MS patients.

    METHOD: We undertook a comprehensive literature search across 5 electronic databases (PubMed, Scopus, Web of Science, The Cochrane Library, clinicaltrials.gov, and EMBASE) from inception through February 2024. Three reviewers screened all randomized controlled trials (RCTs) and assessed quality, and two reviewers extracted data. The meta-analysis used standardized mean difference (SMD) with Hedges' g method, a random effects model adjusted by Hartung-Knapp, and assessed heterogeneity (I² statistic), weighted studies (inverse variance), and evaluated publication bias (Begg's funnel plot and linear regression test).

    RESULT: We located 13 RCTs for inclusion in the meta-analysis. Tele-exercise interventions demonstrated significant improvements across all outcomes: depression (SMD=-0.51, p < 0.001), fatigue (SMD=-0.58, p = 0.01), physical health (SMD=0.62, p = 0.001), QoL (SMD=0.38, p = 0.02), and mental health (SMD=-0.48, p = 0.001). Mind-Body Training consistently had larger effects than Combination Training.

    CONCLUSION: Tele-exercise can improve fatigue, depression, mental and physical health, and overall QoL in MS patients. Further research is necessary to optimize tele-exercise protocols, assess long-term effects, and explore potential synergies with other intervention modalities such as telemedicine.

    MeSH terms: Telerehabilitation; Humans; Quality of Life; Outcome Assessment (Health Care); Telemedicine
  3. Ja'afar MH, Ismail R, Md Isa Z, Mohd Tamil A, Ismail NH, Mat Nasir N, et al.
    Health Sci Rep, 2025 Jan;8(1):e70310.
    PMID: 39741747 DOI: 10.1002/hsr2.70310
    BACKGROUND AND AIMS: The Malaysian government has implemented various antismoking measures to reduce the incidence of unhealthy lifestyles within the population. This study analyzes the baseline data of the Prospective Urban Rural Epidemiology (PURE) study to establish the prevalence of sociodemographic factors that are associated with smoking habits among Malaysian adults.

    METHODS: This study was carried out in urban and rural communities with adults aged between 35 and 70 years using purposive sampling. Standardized questionnaires were used to assess the smoking status and sociodemographic data of the participants. Bivariate analysis and multiple logistic regression were done to determine the association between smoking status and demographic characteristics among Malaysian adults.

    RESULTS: The prevalence of smoking among adults is 23.2%. The sociodemographic factors significantly associated with active smoking status were being a younger adult (adjusted odds ratio [AOR] = 1.26, 95% CI: 1.06-1.50), being male (AOR = 24.16, 95% CI: 20.58-28.36), being Malay (AOR = 1.72, 95% CI: 1.49-1.98), being a blue-collar worker (AOR = 1.75, 95% CI: 1.48-2.06), having no formal education (AOR = 1.99, 95% CI: 1.56-2.53), being unmarried (AOR = 1.22, 95% CI: 1.02-1.48) and being of low socioeconomic status (AOR = 1.45, 95% CI: 1.14-1.84).

    CONCLUSION: Public health policies and actions on smoking reduction should emphasize those identified as high-risk sub-populations, particularly younger adults, males and those who are not yet married, have no formal education and are of low socioeconomic status.

  4. Shah R, Hanna NM, Loo CE, David M, Mafra A, Fink H, et al.
    Nat Cancer, 2025 Jan;6(1):194-204.
    PMID: 39747650 DOI: 10.1038/s43018-024-00880-4
    The coronavirus disease 2019 pandemic substantially impacted the delivery of cancer services and programs. Here we reviewed and synthesized the global scale and impact of pandemic-related delays and disruptions on cancer services, including diagnosis, diagnostic procedures, screening, treatment and supportive and palliative care. Based on data from 245 articles in 46 countries, we observed declines in the number of cancer screening participation (39.0%), diagnoses (23.0%), diagnostic procedures (24.0%) and treatment (28.0%), ranging from a 15.0% decline for radiotherapy to a 35.0% decline for systemic treatment during the pandemic compared to during the prepandemic period. Medium-human development index (HDI) category countries experienced greater reductions than high- and very-high-HDI countries. Missing data from low-HDI countries emphasize the need for increased investments in cancer surveillance and research in these settings. PROSPERO registration: CRD42022301816.
    MeSH terms: Delivery of Health Care; Humans; Palliative Care/methods; Global Health; Early Detection of Cancer/methods; Early Detection of Cancer/statistics & numerical data; Pandemics; Time-to-Treatment/statistics & numerical data
  5. Roshanov PS, Walsh MW, Garg AX, Cuerden M, Lam NN, Hildebrand AM, et al.
    Br J Anaesth, 2025 Feb;134(2):297-307.
    PMID: 39753401 DOI: 10.1016/j.bja.2024.10.039
    BACKGROUND: Optimised use of kidney function information might improve cardiac risk prediction in noncardiac surgery.

    METHODS: In 35,815 patients from the VISION cohort study and 9219 patients from the POISE-2 trial who were ≥45 yr old and underwent nonurgent inpatient noncardiac surgery, we examined (by age and sex) the association between continuous nonlinear preoperative estimated glomerular filtration rate (eGFR) and the composite of myocardial injury after noncardiac surgery, nonfatal cardiac arrest, or death owing to a cardiac cause within 30 days after surgery. We estimated contributions of predictive information, C-statistic, and net benefit from eGFR and other common patient and surgical characteristics to large multivariable models.

    RESULTS: The primary composite occurred in 4725 (13.2%) patients in VISION and 1903 (20.6%) in POISE-2; in both studies cardiac events had a strong, graded association with lower preoperative eGFR that was attenuated by older age (Pinteraction<0.001 for VISION; Pinteraction=0.008 for POISE-2). For eGFR of 30 compared with 90 ml min-1 1.73 m-2, relative risk was 1.49 (95% confidence interval 1.26-1.78) at age 80 yr but 4.50 (2.84-7.13) at age 50 yr in female patients in VISION. This differed modestly (but not meaningfully) in men in VISION (Pinteraction=0.02) but not in POISE-2 (Pinteraction=0.79). eGFR contributed the most predictive information and mean net benefit of all predictors in both studies, most C-statistic in VISION, and third most C-statistic in POISE-2.

    CONCLUSIONS: Continuous preoperative eGFR is among the best cardiac risk predictors in noncardiac surgery of the large set examined. Along with its interaction with age, preoperative eGFR would improve risk calculators.

    CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov NCT00512109 (VISION) and NCT01082874 (POISE-2).

    MeSH terms: Aged; Aged, 80 and over; Female; Glomerular Filtration Rate*; Heart Diseases/epidemiology; Humans; Male; Middle Aged; Predictive Value of Tests; Risk Factors; Surgical Procedures, Operative/adverse effects; Cohort Studies; Risk Assessment/methods
  6. Selvaraj K, Lee SJ, Song KB, Yoo BK, Karuppaiah A
    Curr Pharm Des, 2025 Jan 28.
    PMID: 39878118 DOI: 10.2174/0113816128353794241225083428
    INTRODUCTION: The objective of the present study was to improve the anti-inflammatory and antibacterial activities of mastic gum resin (MGR). MGR was loaded into a phospholipid nanocarrier with or without partially hydrolyzed ginsenoside, followed by dispersion into distilled water.

    METHOD: The phospholipid nanocarrier dispersion showed significantly enhanced in-vitro release, porcine skin/ intestine permeation, and retention. When the ratio of the MGR versus partially hydrogenated ginsenoside reached 1:1 w/w in the nanocarrier composition, the in-vitro release increased 54.8-fold compared to the MGR powder suspended in the release media.

    RESULTS: Permeation of the nanocarrier dispersion through the porcine skin and intestine increased 160-fold and 42-fold, respectively, compared to permeation of the MGR powder suspension. Furthermore, the nanocarrier dispersion reduced NO production and iNOS mRNA expression in the LPS-stimulated RAW264.7 cells. MIC and MBC of the nanocarrier dispersion against P. gingivalis were 4.11 ± 1.17 and 8.22 ± 2.35 μg/mL, respectively.

    CONCLUSION: In conclusion, the anti-inflammatory and antibacterial activities of MGR were remarkably enhanced when the MGR was loaded into the nanocarrier with partially hydrolyzed ginsenoside.

  7. Swarna Nantha Y, Chung KR, Suresh HWN, Heng VKI, Yap CG, Tan HL, et al.
    Fam Pract, 2025 Jan 17;42(1).
    PMID: 39878310 DOI: 10.1093/fampra/cmaf003
    BACKGROUND: The optimal control of type 2 diabetes (T2D) is defined by the innate mastery of self-management behaviours. This study is designed to condense the lived experiences of people with T2D in relation to factors 'exterior' to themselves into a universal self-management inventory (Assessment of Self-Management Questionnaire in Diabetes Mellitus-External Reality; ASQ-DM-EX).

    METHODS: We collected responses to an online and physical survey from people living with T2D through a quantitative cross-sectional study. First, we tested the contextual validity and cultural preciseness of ASQ-DM-EX prototype through a preliminary pilot testing phase. These processes culminated in the development of a 91-item version of the questionnaire which was disseminated widely to evaluate the predictive strength of the ASQ-DM-EX.

    RESULTS: All constructs within ASQ-DM-EX showed internal consistencies within good to excellent range (Cronbach's ⍺ = 0.70-0.94), except for the Influence construct (Cronbach's ⍺ = 0.33). An increase in ASQ-DM-EX scores was associated with a reduction in HbA1c control (r = -0.17, P 

    MeSH terms: Adult; Aged; Cross-Sectional Studies; Female; Humans; Male; Middle Aged; Psychometrics; Surveys and Questionnaires; Self Care; Reproducibility of Results
  8. Chin B, Meng Lim W, Almurisi SH, Madheswaran T
    Ther Deliv, 2025 Feb;16(2):123-137.
    PMID: 39878544 DOI: 10.1080/20415990.2025.2457314
    AIM: Abemaciclib (ABE) is an anticancer drug that suffers from low bioavailability and multidrug resistance. This study aims to develop ABE-loaded solid lipid nanoparticles (ABE-SLNs), which will enhance drug solubility and lead to increased cellular uptake and enhanced cytotoxicity when delivering tumor cells.

    METHODS: Melt emulsification followed by ultrasonication was used as a method of preparation and Quality-by-Design (QbD) was utilized to optimize ABE-SLNs.

    RESULTS: The optimized ABE-SLNs consist of Precirol-ATO5 as a lipid and Brij-58 as a surfactant. The particle size, PDI value, and zeta potential of the optimized formulation were 170.4 ± 0.49 nm, 0.25 ± 0.014, and -26.4 ± 0.1 mV, respectively. It also showed sustained release behavior and a high entrapment efficiency of 79.96%. ABE-SLNs exhibited enhanced anticancer activity in the MDA-MB-231 and T47D breast cancer cell lines compared to pure ABE. In Caco-2 human colonic cell lines, ABE-SLNs also showed increased cellular uptake.

    CONCLUSION: The use of QbD to achieve high entrapment efficiency and sustained release in ABE-SLNs, coupled with enhanced cellular uptake and cytotoxicity, represents a novel approach that could set a new standard for nanoparticle-based drug delivery systems.

    MeSH terms: Cell Survival/drug effects; Drug Carriers/chemistry; Female; Humans; Liposomes; Particle Size*; Solubility; Caco-2 Cells; Cell Line, Tumor; Drug Liberation*
  9. Lin K, Eyal S, Demarchi IG, Ben-Shushan T, Auvin S, Khoo CS, et al.
    Epilepsia, 2025 Jan 29.
    PMID: 39878760 DOI: 10.1111/epi.18286
    Clinical practice guidelines (CPGs) and consensus-based recommendations (CBRs) require considerable effort, collaboration, and time-all within the constraints of finite resources. Professional societies, such as the International League Against Epilepsy (ILAE), must prioritize what topics and questions to address. Implementing evidence-based care remains a crucial challenge in clinical practice. Using rigorous processes to ensure that the best available research evidence informs health care recommendations is of the utmost importance. We aimed to develop a structured and transparent process for prioritizing future CPGs and CBRs supported by the ILAE. A multidisciplinary group of researchers and experts from the ILAE Prioritization Task Force conducted a scoping review to identify prioritization approaches for CPG and CBR development. This scoping review was reported according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) and Cochrane recommendations. A Problem/population, Concept, and Context (PCC) strategy was applied to the literature search and selection of the studies. We searched Medline/PubMed, Embase, Web of Science, and Scopus without time or language limits. The findings were synthesized qualitatively. A consensus-based process was followed to develop a prioritization scoring tool for CPGs and another for CBRs. Thirty-nine participants, including clinicians, experts in the field, methodologists, and other relevant stakeholders, contributed to developing the final instrument (based on a 5-point Likert scale). Of 721 unique citations, 8 papers reporting prioritization approaches for guideline development were included. Based on these, we developed an initial tool with 10 criteria. It was iteratively optimized and revised by the ILAE Standards and Best Practice Council, which unanimously approved the instrument. The ILAE Executive Committee subsequently approved its final version. The ILAE Prioritization Tool is intended to standardize the prioritization processes and optimize the ILAE's use of resources to select CPGs and CBRs for endorsement.
  10. Tham HY, Chong LC, Krishnan M, Khan AM, Choi SB, Tamura T, et al.
    Arch Microbiol, 2025 Jan 29;207(2):47.
    PMID: 39878790 DOI: 10.1007/s00203-025-04242-1
    Bacteriophages produce endolysins at the end of the lytic cycle, which are crucial for lysing the host cells and releasing virion progeny. This lytic feature allows endolysins to act as effective antimicrobial alternatives when applied exogenously. Staphylococcal endolysins typically possess a modular structure with one or two enzymatically active N-terminal domains (EADs) and a C-terminal cell wall binding domain (CBD). The EADs degrade the peptidoglycan layer, leading to bacterial lysis, while the CBD binds to the specific host cell wall, and therefore, influences specificity of the endolysin. This study aimed to alter and characterize the host specificity of the CBD by exploring the impact of amino acid modifications within the CBD of a staphylococcal endolysin, Endo88. Endo88 was able to lyse Staphylococcus spp. and Enterococcus faecalis. However, despite attempts to mutate amino acids hypothesized for binding with cell wall components, the host-range was not affected but the lytic activity was severely reduced instead, although no alterations were performed on the EADs (Cysteine, histidine-dependent aminohydrolases/peptidases domain and Amidase domain). Further investigations of the CBD alone (Src homology3 domain, SH3) without the EADs suggested that binding and lytic activity may not be correlated in some cases since Endo88 and its mutants could lyse Staphylococcus epidermidis well but no binding activity was observed in the flow cytometry analysis. Molecular docking was used to gain insights on the observations for the binding and lytic activity which may help future strategies in designing enhanced engineered endolysins.
    MeSH terms: Peptidoglycan/metabolism; Protein Binding; Enterococcus faecalis/genetics; Enterococcus faecalis/metabolism; Enterococcus faecalis/virology; Viral Proteins/genetics; Viral Proteins/metabolism; Viral Proteins/chemistry; src Homology Domains; Host Specificity*
  11. Tan KF, Chia LY, Maki MAA, Cheah SC, In LLA, Kumar PV
    PMID: 39878813 DOI: 10.1007/s00210-025-03839-z
    The third most prevalent type of cancer in the world, colorectal cancer, poses a significant treatment challenge due to the nonspecific distribution, low efficacy, and high systemic toxicity associated with chemotherapy. To overcome these limitations, a targeted drug delivery system with a high cytotoxicity against cancer cells while maintaining a minimal systemic side effects represents a promising therapeutic approach. Therefore, the aim of this study was to develop an efficient gold nanocarrier for the targeted delivery of the anticancer agent everolimus to Caco-2 cells. A novel gold nanocomposite (EV-β-CD-HA-Chi-AuNCs) functionalized with a targeting ligand (hyaluronic acid), a permeation enhancement excipient (chitosan), and an anticancer inclusive compound consisting of beta-cyclodextrin and everolimus was proposed and prepared via Turkevich method. Characterization was performed with a UV spectrometer, FTIR, Zetasizer, and HRTEM. Its drug release profile was also evaluated in media with three different pH values. Cytotoxicity and biocompatibility studies were performed on a colorectal cancer cell line (Caco-2) and a normal fibroblast line (MRC-5), respectively, via xCELLigence real-time cellular analysis (RTCA) technology. The inhibitory effect on migration was also further tested via the xCELLigence RTCA technique and a scratch assay. Characterization studies revealed the successful formation of EV-β-CD-HA-Chi-AuNCs with a size and charge which are suitable for the use as targeted drug delivery carrier. In the cytotoxic study, the EV-β-CD-HA-Chi-AuNCs showed a lower IC50 (16 ± 1 µg/ml) than the pure drug (25 ± 3 µg/ml) toward a colorectal cell line (Caco-2). In the biocompatibility study, the EV-β-CD-HA-Chi-AuNCs have minimal toxicity, while the pure drug has severe toxicity toward healthy fibroblasts (MRC-5) despite its low concentration. In the cell migration study, the EV-β-CD-HA-Chi-AuNCs also showed a greater inhibitory effect than the pure drug. Compared with the pure drug, the EV-β-CD-HA-Chi-AuNCs exhibit an excellent selective cytotoxicity between cancerous colorectal Caco-2 cells and healthy MRC-5 cells, making it a potential carrier to carry the drug to the cancerous site while maintaining its low toxicity to the surrounding environment. In addition, an increase in the cytotoxic activity of the EV-β-CD-HA-Chi-AuNCs toward cancerous colorectal Caco-2 cells was also observed, which can potentially improve the treatment of colorectal cancer.
  12. Al-Tameemi AI, Masarudin MJ, Rahim RA, Mizzi R, Timms VJ, Isa NM, et al.
    Appl Microbiol Biotechnol, 2025 Jan 29;109(1):32.
    PMID: 39878901 DOI: 10.1007/s00253-024-13355-4
    The rapid advancement of nanotechnology, particularly in the realm of pharmaceutical sciences, has significantly transformed the potential for treating life-threatening diseases. A pivotal aspect of this evolution is the emergence of "green nanotechnology," which emphasizes the environmentally sustainable synthesis of raw materials through biological processes. This review focuses on the biological synthesis and application of zinc oxide (ZnO) nanoparticles (NPs) from probiotic bacteria, particularly those sourced from wastewater. Microorganisms from wastewater tolerate harmful elements and enzymatically convert toxic heavy metals into eco-friendly materials. These probiotic bacteria are instrumental in the synthesis of ZnO NPs and exhibit remarkable antimicrobial properties with diverse industrial applications. As the challenge of drug-resistant pathogens escalates, innovative strategies for combating microbial infections are essential. This review explores the intersection of nanotechnology, microbiology, and antibacterial resistance, highlighting the importance of selecting suitable probiotic bacteria for synthesizing ZnO NPs with potent antibacterial activity. Additionally, the review addresses the biofunctionalization of NPs and their applications in environmental remediation and therapeutic innovations, including wound healing, antibacterial, and anticancer treatments. Eco-friendly NP synthesis relies on the identification of these suitable microbial "nano-factories." Targeting probiotic bacteria from wastewater can uncover new microbial NP synthesis capabilities, advancing environmentally friendly NP production methods. KEY POINTS: • Innovative strategies are needed to combat drug-resistant pathogens like MRSA. • Wastewater-derived probiotic bacteria are an eco-friendly method for ZnO synthesis. • ZnO NPs show significant antimicrobial activity against various pathogens.
    MeSH terms: Probiotics*; Nanotechnology; Nanoparticles/chemistry; Metal Nanoparticles/chemistry; Green Chemistry Technology
  13. Balakrishnan V, Ahhmed U, Basheer F
    PLoS One, 2025;20(1):e0317232.
    PMID: 39879178 DOI: 10.1371/journal.pone.0317232
    BACKGROUND: Online malicious attempts such as scamming continue to proliferate across the globe, aided by the ubiquitous nature of technology that makes it increasingly easy to dupe individuals. This study aimed to identify the predictors for online fraud victimization focusing on Personal, Environment and Behavior (PEB).

    METHODS: Social Cognitive Theory (SCT) was used as a guide in developing the PEB framework. Specifically, three factors were identified-Self-awareness (Personal), Attitude (Personal and Environment) and Safe Practice (Behavior) as the potential predictors for online fraud victimization. A self-reporting questionnaire was developed based on the PEB framework and used to collect data targeting Malaysian adults. The study reports result from two separate datasets collected across two separate timelines. Study I involved data collection in January 2023 (n = 820) whereas Study II was conducted with a modified questionnaire from November 2023 -January 2024 (n = 629). Study I identified the online fraud victimization predictors through an Exploratory Factor Analysis (EFA) and a hierarchical binary logistic regression. The dataset from Study II was used to validate the online fraud victimization model derived from Study I by executing another round of hierarchical binary logistic regression.

    RESULTS: Results from both the samples show that most of the respondents are aware of digital privacy. EFA from Study I yielded a five-factor solution with a total variance of 60.6%, namely, Self-awareness, Safe Practice, Bank Trust, Overconfidence and Social Influence. Hierarchical binary logistic regression results from both the studies were found to be consistent. Specifically, Overconfidence (β = 0.374; OR = 1.453; 95% CI [1.119, 1.887]; p = 0.005) and Social Influence (β = 0.332; OR = 1.225; 95% CI [1.077, 1.512]; p = 0.006) were found to significantly predict online fraud victimization as well as gender (β = 0.364; OR = 1.440; 95% CI [1.008, 2.016]; p = 0.045) with females exhibiting higher risks to victimization.

    IMPLICATIONS: The emergence of Overconfidence and Social Influence as significant predictors can guide the development of targeted online fraud awareness campaigns and/or tools emphasizing critical thinking and skepticism. Policymakers can leverage this knowledge to implement regulations that reduce deceptive practices online, promote digital literacy programs, and mandate clearer consumer protections to mitigate the impact of social manipulation and overconfidence on fraud victimization.

    CONCLUSION: This study identifies online fraud victimization predictors, hence improving our understanding of the factors behind this phenomenon-allowing for the development of effective preventive measures and policies to safeguard individuals and improve digital security. For instance, gender- specific educational campaigns can be developed to enhance awareness and equip women with strategies to detect and avoid scams. Additionally, addressing systemic factors like social norms and digital literacy gaps is crucial for creating equitable and effective solutions to reduce online fraud victimization.

    MeSH terms: Adolescent; Adult; Attitude; Female; Fraud; Humans; Malaysia; Male; Middle Aged; Surveys and Questionnaires; Internet; Young Adult; Self Report
  14. Mulenga M, Rajamanikam A, Kumar S, Muhammad SB, Bhassu S, Samudid C, et al.
    PLoS One, 2025;20(1):e0316493.
    PMID: 39879257 DOI: 10.1371/journal.pone.0316493
    The emergence of Next Generation Sequencing (NGS) technology has catalyzed a paradigm shift in clinical diagnostics and personalized medicine, enabling unprecedented access to high-throughput microbiome data. However, the inherent high dimensionality, noise, and variability of microbiome data present substantial obstacles to conventional statistical methods and machine learning techniques. Even the promising deep learning (DL) methods are not immune to these challenges. This paper introduces a novel feature engineering method that circumvents these limitations by amalgamating two feature sets derived from input data to generate a new dataset, which is then subjected to feature selection. This innovative approach markedly enhances the Area Under the Curve (AUC) performance of the Deep Neural Network (DNN) algorithm in colorectal cancer (CRC) detection using gut microbiome data, elevating it from 0.800 to 0.923. The proposed method constitutes a significant advancement in the field, providing a robust solution to the intricacies of microbiome data analysis and amplifying the potential of DL methods in disease detection.
    MeSH terms: Gastrointestinal Microbiome*; Algorithms; Humans; Neural Networks (Computer); Area Under Curve; High-Throughput Nucleotide Sequencing/methods; Microbiota
  15. Sutan R, Ismail S, Ibrahim R
    JMIR Hum Factors, 2025 Jan 29;12:e53630.
    PMID: 39879614 DOI: 10.2196/53630
    BACKGROUND: Evaluating digital health service delivery in primary health care requires a validated questionnaire to comprehensively assess users' ability to implement tasks customized to the program's needs.

    OBJECTIVE: This study aimed to develop, test the reliability of, and validate the Tele-Primary Care Oral Health Clinical Information System (TPC-OHCIS) questionnaire for evaluating the implementation of maternal and child digital health information systems.

    METHODS: A cross-sectional study was conducted in 2 phases. The first phase focused on content item development and was validated by a group of 10 experts using the content validity index. The second phase was to assess its psychometric testing for reliability and validity.

    RESULTS: A structured questionnaire of 65 items was constructed to assess the TPC-OHCIS delivery for primary health care use based on literature and has been validated by 10 experts, and 319 respondents answered the 65-item TPC-OHCIS questionnaire, with mean item scores ranging from 1.99 (SD 0.67) to 2.85 (SD 1.019). The content validity, reliability, and face validity showed a scale-level content validity index of 0.90, scale-level content validation ratio of 0.90, and item-level face validity index of 0.76, respectively. The internal reliability was calculated as a Cronbach α value of 0.90, with an intraclass correlation coefficient of 0.91. Scales were determined by the scree plot with eigenvalues >1, and 13 subscales were identified based on principal component analysis. The Kaiser-Meyer-Olkin value was 0.90 (P0.7. The Bartlett test of sphericity, determining construct validity, was found to be significant (P

    MeSH terms: Adult; Cross-Sectional Studies; Female; Humans; Male; Middle Aged; Oral Health; Primary Health Care*; Surveys and Questionnaires; Reproducibility of Results
  16. Sinnathamby A, Ong YT, Lim SX, Hiew AWH, Ng SY, Chee JH, et al.
    PMID: 39879618 DOI: 10.1177/10499091251317725
    BACKGROUND: Palliative Care, Geriatrics and Emergency physicians are exposed to death, terminally ill patients and distress of patients and their families. As physicians bear witness to patients' suffering, they are vulnerable to the costs of caring-the emotional distress associated with providing compassionate and empathetic care to patients. If left unattended, this may culminate in burnout and compromise professional identity. This study aims to provide a better understanding of suffering across various practice settings and specialties to guide the design of support frameworks for physicians and their patients.

    METHODS: From August 2023 to September 2024, semi-structured interviews were conducted with sixteen Palliative Care, 12 Geriatrics and 13 Emergency physicians from various hospitals in Malaysia. Interview transcripts were analyzed using both inductive and deductive qualitative analyses.

    RESULTS: Data analysis revealed three key domains: (1) living and dying well, (2) definition of suffering, and (3) impact of patient suffering on physicians.

    CONCLUSION: Physicians' concepts of a good life and death frame their notions of suffering beyond the antithesis of a good life. Suffering is found to be distress at a loss of control, independence and dignity, alongside the presence of physical, emotional and existential distress. Witnessing patient suffering predisposes to physician suffering as they question their goals and roles in patient care. Our findings underscore the need for host organizations, hospitals and clinical departments to invest more in the care of their physicians. We believe these findings ought to be applicable to many resource-limited nations and other health care professionals beyond Malaysian shores.

  17. Teh JL, Walvekar R, Ho KC, Khalid M
    J Environ Manage, 2025 Feb;375:124267.
    PMID: 39879924 DOI: 10.1016/j.jenvman.2025.124267
    Effective management of agricultural and industrial by-products is essential for promoting circular economic practices and enhancing environmental sustainability. Agri-food wastes and waste cooking oil (WCO) represent two abundant residual streams with significant potential for sustainable biolubricant production. Valorizing biomass and WCO aligns with Sustainable Development Goal (SDG) 7, as it improves energy efficiency through enhanced lubricant performance and reduced energy loss. Furthermore, this sustainable approach contributes to SDG 12 and SDG 13 by minimizing waste production and accumulation, thereby mitigating negative environmental impacts and climate change. This critical review addresses existing gaps in the production of biolubricants from WCO and the incorporation of natural antioxidants as versatile additives. It examines and compares various techniques for the extraction, chemical and physical modification, and characterization of WCO-derived biolubricants. Specific methods, including esterification, transesterification, and antioxidant incorporation, are evaluated for their effectiveness in converting WCO into biolubricants. The review also discusses the influence of residual bioactive compounds on oxidative stability and lubricating properties. While vegetable oils demonstrate superior friction-reducing capabilities compared to petroleum-based lubricants, their triglyceride structure often results in poor oxidative stability, limiting their practical applications. Modification strategies and antioxidant inclusion are proposed to enhance this stability. A comprehensive analysis of the physicochemical properties and tribological performance of biolubricants, both pre- and post-processing, is presented. This systematic evaluation of extraction and upgrading methodologies aims to facilitate the development and industrial adoption of sustainable biolubricants.
    MeSH terms: Cooking; Plant Oils/chemistry; Lubricants/chemistry
  18. Cortese S, Bellato A, Gabellone A, Marzulli L, Matera E, Parlatini V, et al.
    Cell Rep Med, 2025 Feb 18;6(2):101916.
    PMID: 39879991 DOI: 10.1016/j.xcrm.2024.101916
    The diagnosis of autism is currently based on the developmental history, direct observation of behavior, and reported symptoms, supplemented by rating scales/interviews/structured observational evaluations-which is influenced by the clinician's knowledge and experience-with no established diagnostic biomarkers. A growing body of research has been conducted over the past decades to improve diagnostic accuracy. Here, we provide an overview of the current diagnostic assessment process as well as of recent and ongoing developments to support diagnosis in terms of genetic evaluation, telemedicine, digital technologies, use of machine learning/artificial intelligence, and research on candidate diagnostic biomarkers. Genetic testing can meaningfully contribute to the assessment process, but caution is required when interpreting negative results, and more work is needed to strengthen the transferability of genetic information into clinical practice. Digital diagnostic and machine-learning-based analyses are emerging as promising approaches, but larger and more robust studies are needed. To date, there are no available diagnostic biomarkers. Moving forward, international collaborations may help develop multimodal datasets to identify biomarkers, ensure reproducibility, and support clinical translation.
    MeSH terms: Machine Learning*; Artificial Intelligence; Genetic Testing/methods; Humans; Biomarkers*; Telemedicine
  19. Razali MF, Amir Shah Ruddin NI, Abdul Rani NA, Mohamed F, Ahmad NI, Leong YH
    BMJ Open, 2025 Jan 28;15(1):e092681.
    PMID: 39880440 DOI: 10.1136/bmjopen-2024-092681
    OBJECTIVE: Glyphosate is widely used in Malaysian agriculture but poses a significant under-reported public health concern due to poisoning. This paper aims to study the epidemiology of glyphosate poisoning in Malaysia, assessing severity, identifying risk factors, and high-risk groups.

    SETTING: All glyphosate-related data of the Malaysia National Poison Centre from 2006 to 2023.

    PARTICIPANTS: Telephone inquiries of incidents involving glyphosate made by healthcare professionals across Malaysia. Information received was recorded according to WHO guidelines.

    OUTCOMES: The outcome is to provide an overview of national glyphosate poisoning epidemiology, including identifying risk factors and high-risk groups to strategise appropriate measures.

    RESULTS: A total of 4548 glyphosate poisoning cases were reported, with males comprising 67.3% of cases. The most affected age groups were 21-30 years (25.5%) and 31-40 years (23.5%). Ingestion was the primary exposure route (93.0%). Intentional poisonings, mainly suicides, accounted for 68.4% (n=3078) of cases. Among the 1420 unintentional cases, 78.2% resulted from ingestion exposures. The incidence rate declined from 1.17 per 100 000 in 2011 to 0.61 in 2023. Significant associations were found between intentional ingestion and sociodemographic factors. From 2013 to 2023, 73.7% of cases were minor, 11.5% moderate, 0.8% severe and 0.1% fatal.

    CONCLUSIONS: In Malaysia, the reported intentional glyphosate poisoning most commonly affects young adults, resulting in generally minor to moderate symptoms. The study highlights the need for stricter regulations on glyphosate use and improved mental health support, to mitigate poisoning risks. Continued surveillance and public education are essential to address this public health issue.

    MeSH terms: Adolescent; Adult; Aged; Child; Child, Preschool; Female; Humans; Infant; Malaysia/epidemiology; Male; Middle Aged; Poison Control Centers/statistics & numerical data; Poisoning/epidemiology; Risk Factors; Suicide/statistics & numerical data; Incidence; Age Distribution; Sex Distribution; Young Adult
  20. Wang H, Gao C, Guignard-Duff M, Cole C, Hall C, Baruah R, et al.
    Heart, 2025 Jan 29.
    PMID: 39880470 DOI: 10.1136/heartjnl-2024-324160
    BACKGROUND: Early heart failure (HF) diagnosis is crucial to ensure that optimal guideline-directed medical therapy (GDMT) is administered to reduce morbidity and mortality. Limited access to echocardiography could lead to a later diagnosis for patients, for example, during an HF hospitalisation (hHF). This study aimed to compare the incidence and outcomes of inpatient versus outpatient diagnosis of HF.

    METHODS: Electronic health records were linked to echocardiography data between 2015 and 2021 from patients in Tayside, Scotland (population~450 000). Incident HF diagnosis was classified into inpatient or outpatient and stratified by ejection fraction (EF). A non-HF comparator group with normal left ventricular function was also defined. The primary outcome was time to cardiovascular death or hHF within 12 months of diagnosis.

    RESULTS: In total, 5223 individuals were identified, 4231 with HF (1115 heart failure with reduced ejection fraction (HFrEF), 666 heart failure with mildly reduced ejection fraction, 1402 heart failure with preserved ejection fraction and 1048 HF with unknown EF) and 992 with non-HF comparators. Of the 4231 HF patients, 2169 (51.3%) were diagnosed as inpatients. The primary outcome was observed in 1193 individuals with HF (28.1%) and 32 (3.2%) non-HF comparators and was significantly more likely to occur in individuals diagnosed as inpatients than outpatients (809 vs 384 events; adjusted HR: 1.62 (1.39-1.89), p<0.001), and this was consistent regardless of EF. For HFrEF patients first diagnosed as inpatients, those discharged on ≥2 GDMT had a reduced incidence of the primary outcome compared with those discharged on <2 GDMT (303 vs 175 events; adjusted HR: 0.72 (0.55-0.94), p=0.016).

    CONCLUSIONS: Individuals whose first presentation was a HF hospitalisation had a significantly worse outcome than those who were diagnosed in the community. Among hospitalised individuals, higher use of GDMT was associated with improved outcomes. Our results highlight the importance of improving diagnostic pathways to allow for earlier identification and treatment of HF.

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