Browse publications by year: 2025

  1. Mudalige T, Pathiraja V, Delanerolle G, Cavalini H, Wu S, Taylor J, et al.
    BJUI Compass, 2025 Jan;6(1):e464.
    PMID: 39877583 DOI: 10.1002/bco2.464
    BACKGROUND: Pelvic organ prolapse (POP) occurs when one or more pelvic organs (uterus, bowel, bladder or top of the vagina) descend from their normal position and bulge into the vagina. Symptoms include pelvic discomfort, fullness, and changes in bladder or bowel function. Treatment ranges from conservative approaches to surgery, depending on symptom severity. Surgical methods include vaginal wall repair, with or without hysterectomy, or via laparoscopic, robotic or open techniques. Common complications include bleeding, infection, and urinary or bowel dysfunction.

    METHODS: A systematic review was conducted, and a protocol was registered with PROSPERO (CRD42022346051). Publications from 30 April 1980 to 30 April 2023 were retrieved from multiple databases. Data were analysed using random-effects and common-effects models with subgroup and sensitivity analyses.

    FINDINGS: Forty-four studies met the inclusion criteria, with 29 studies used for meta-analysis of vaginal prolapse surgery outcomes. Sixteen studies focused on patients who had undergone hysterectomy alongside prolapse repair.

    INTERPRETATION: Patients who underwent vaginal prolapse surgery with hysterectomy experienced higher operative and postoperative complication rates than those without hysterectomy. Increased risks included hospital readmission, POP recurrence and re-operation. The review highlighted a lack of diversity in terms of ethnicity, age and comorbidity status, which are essential to fully understanding the impact of POP. Future research should focus on these underrepresented factors.

  2. Sia TL, Lai CD, Manan K, Khiu FL, Bakhtiar SZ, Chor YK, et al.
    IDCases, 2025;39:e02149.
    PMID: 39877723 DOI: 10.1016/j.idcr.2025.e02149
    We report a first case of ceftazidime-resistant pediatric melioidosis involving a previously healthy seven-year-old boy who presented with right lobar pneumonia complicated with a 5-cm lung abscess. Ceftazidime was initiated on Day-6 of admission when Burkholderia pseudomallei (ceftazidime-susceptible, minimum inhibitory concentration [MIC] 1.0 mcg/mL) was isolated from blood. Despite ceftazidime therapy at the recommended dosage, he developed fulminant septic shock and respiratory failure on Day-18 of hospitalization, requiring invasive ventilation, hemodynamic support, and continuous renal replacement therapy. His antibiotic was empirically escalated to meropenem; ceftazidime-resistant B. pseudomallei (MIC 32 mcg/mL) was subsequently isolated from blood and endotracheal secretions. He improved after two weeks of intensive care and was discharged well after two months of hospitalization. Our literature review on ceftazidime-resistant B. pseudomallei infection indicates that acquired resistance is a rare but potentially lethal treatment-related complication. All melioidosis patients should be carefully monitored during treatment with ceftazidime (or other β-lactams) for the development of antimicrobial resistance.
  3. Albasri A, Gouda W, Alsaqabi F, Magdy MM, Mostafa AA, El Ghobashy N
    J Int Med Res, 2025 Jan;53(1):3000605241311446.
    PMID: 39877975 DOI: 10.1177/03000605241311446
    Behçet's disease (BD) is a rare systemic vasculitis that is characterized by recurrent oral and genital ulcers, uveitis, and skin lesions. Although neurological involvement is a known complication, ischemic stroke remains uncommon. Herein, we report a 37-year-old Kuwaiti woman who experienced recurrent ischemic stroke with no traditional risk factors. Imaging studies, including magnetic resonance imaging and angiography, confirmed the diagnosis of recurrent ischemic stroke and identified the underlying vasculitic changes. A detailed examination revealed a history of recurrent orogenital ulcers, leading to a diagnosis of BD. High-dose corticosteroids, azathioprine, and antiplatelet treatment were effectively used to manage her acute strokes and underlying vasculitis, thus preventing further thrombotic events. Our case report underscores the difficulties of diagnosing BD with ischemic stroke as the initial manifestation and emphasizes the importance of a multidisciplinary approach that involves rheumatologists, neurologists, and radiologists to create an effective treatment plan. Our findings also underscore the need for medical practitioners to be more knowledgeable about ischemic stroke in young patients without risk factors from endemic areas of BD, and to develop effective therapy plans. Our review of the English literature indicates that this is only the fifth report of stroke as the first presentation of BD.
    MeSH terms: Adrenal Cortex Hormones/therapeutic use; Adult; Azathioprine/therapeutic use; Female; Humans; Magnetic Resonance Imaging; Recurrence*
  4. Farooq S, Ngaini Z
    Curr Top Med Chem, 2025;25(1):47-62.
    PMID: 38847246 DOI: 10.2174/0115680266303704240524080333
    Flavonoids belong to the polyphenol group that naturally exists in fruits, vegetables, tea, and grains. Flavonoids, as secondary metabolites, show indispensable contributions to biological processes and the responses of plants to numerous environmental factors. The bioactivity of flavonoids depends on C6-C3-C6 ring substitution patterns that exhibit bioactive antioxidant, antimicrobial, antifungal, antitumor, and anti-inflammatory properties. The synthesis of flavonoids has been reported by various methodologies. Therefore, the present review systematically summarizes the synthesis of recent heterocyclic flavonoid derivatives via facile synthetic approaches since the research in flavonoids is useful for therapeutic and biotechnology fields.
    MeSH terms: Anti-Infective Agents/chemical synthesis; Anti-Infective Agents/pharmacology; Anti-Infective Agents/chemistry; Anti-Inflammatory Agents/chemical synthesis; Anti-Inflammatory Agents/pharmacology; Anti-Inflammatory Agents/chemistry; Antineoplastic Agents/chemical synthesis; Antineoplastic Agents/pharmacology; Antineoplastic Agents/chemistry; Antioxidants/chemical synthesis; Antioxidants/pharmacology; Antioxidants/chemistry; Humans; Molecular Structure
  5. Krishnan S, Ademi Z, Malone D, Abebe TB, Lim A
    Simul Healthc, 2025 Feb 01;20(1):61-69.
    PMID: 39110425 DOI: 10.1097/SIH.0000000000000811
    INTRODUCTION: Online education games are gaining ground in health profession education, yet there is limited literature on its costs. This study is an economic evaluation of the substitution of a face-to-face (F2F) workshop with an online escape room game teaching the same content.

    METHODS: A traditional F2F workshop on hepatitis management was conducted with 364 students in 2021 and was compared with a virtual self-run escape room game called Hepatitiscape™, which was used by 417 students in 2022. The outcomes were final examination and objective structured clinical examination (OSCE) scores for hepatitis stations. An incremental cost-effectiveness ratio was used to compare costs and outcomes. Student perceptions of the delivery of Hepatitiscape™ were also captured using an online questionnaire.

    RESULTS: Delivering the hepatitis case workshop via Hepatitiscape™ yielded an additional 4.77% increase in the final examination score and a 21.04% increase in the OSCE score at an additional cost of AUD $4212 in the first year compared with F2F delivery. This equated to an incremental cost-effectiveness ratio of AUD 883 per additional score of final examination and AUD 200 per additional score of OSCE for hepatitis stations. Hepatitiscape™ became cost saving from the second year onward. Student perception data revealed their recall of content was higher owing to the iterative design of the gaming elements.

    CONCLUSIONS: Hepatitiscape™ is likely to be a cost-effective strategy to deliver workshops that are routinely delivered F2F to test knowledge-based constructs. In addition, virtual gaming has a logistical advantage over F2F delivery in that it enhances student participation from remote locations and allows for better control and flexibility of content delivery with increasing or decreasing cohort sizes, and can have potential long-term sustainable savings.

    MeSH terms: Clinical Competence; Cost-Benefit Analysis*; Educational Measurement; Hepatitis; Humans; Video Games; Education, Distance/methods; Education, Distance/organization & administration
  6. Washif JA, Pyne DB
    Int J Sports Physiol Perform, 2025 Feb 01;20(2):321-327.
    PMID: 39265975 DOI: 10.1123/ijspp.2024-0227
    BACKGROUND: In high-performance sport, the support provided by sport scientists and other staff can be a valuable resource for coaches and athletes.

    PURPOSE: We propose and detail here the approach of "minimal, adequate, and accurate" sport-science support to ensure that programs of work and solutions are both economical and effective.

    METHODS: Our support provision advocates for utilization of "minimal" resources (employing the least amount of time, tools, and funding) necessary to achieve the desired outcomes. We strive for "adequate" information that fulfills specific objectives without excess and with the requirement that methods and data used are "accurate" (valid and reliable). To illustrate the principles of this approach, we outline a real-world example of supporting 100-m track (athletics) sprinters preparing and competing in an international competition. The provision of performance support emphasizes an integrated approach, combining knowledge and insights from multiple sport-science disciplines. The key facets managed under this approach are (1) neuromuscular readiness, (2) wellness monitoring, (3) movement observation, (4) motivation, (5) biomechanics and performance analysis, and (6) qualitative feedback. These facets are based on the specific performance determinants and influencing factors of an event (100-m dash).

    CONCLUSIONS: Application of this quantitative and qualitative approach can enhance the ability to make informed decisions. Nevertheless, the approach must be planned, evaluated, and refined on a regular basis to enable effective decision making in sport-science support. The 3-element approach of "minimal, adequate, and accurate" should be codesigned and supported by the athletes, coaches, and staff to ensure successful implementation.

    MeSH terms: Biomechanical Phenomena; Competitive Behavior; Feedback; Humans; Motivation; Running/physiology
  7. Suschinel R, Jaimes-Mogollón AL, Sim SF, Ting W, Cáceres-Tarazona JM, Alvarez-Valdez E, et al.
    Anal Bioanal Chem, 2025 Feb;417(4):771-783.
    PMID: 39722103 DOI: 10.1007/s00216-024-05691-1
    The analysis of the volatile compounds released by biological samples represents a promising approach for the non-invasive diagnosis of a disease. The present study, focused on a population of dogs infected with canine leishmaniasis, aimed to decipher the volatolomic profile associated with this disease in dogs, which represent the main animal reservoir for Leishmania pathogen transmission to humans. The volatiles emitted by the breath and hair of dogs were analysed employing the gas chromatography-mass spectrometry (GC-MS) technique. The acquired chromatograms were investigated using a novel algorithm developed in this study for automated chromatographic peak detection and matching in untargeted GC-MS analysis, which includes various steps that comprise noise reduction, m/z filtering, background subtraction, peak detection, peak matching, and generation of a peak table for compounds identification. The results revealed one tentative breath volatile biomarker and five tentative hair volatile biomarkers for the cutaneous form of the disease, which is characterised by skin ulcerations. Additionally, nine tentative breath volatile biomarkers and four tentative hair volatile biomarkers were found for the visceral form of the disease, which affects internal organs such as spleen, liver and bone marrow. All tentative biomarkers identified in this study were upregulated in cutaneous leishmaniasis, while in visceral leishmaniasis, all tentative biomarkers were upregulated in the breath and only one out of four in the hair. Only one compound (glyceryl monooleate) was identified as tentative volatile biomarker for both forms of the disease, in the hair of dogs.
    MeSH terms: Algorithms*; Animals; Dogs; Leishmaniasis/diagnosis; Leishmaniasis/parasitology; Leishmaniasis/veterinary; Leishmaniasis, Visceral/diagnosis; Leishmaniasis, Visceral/veterinary
  8. Kam MYY
    J Sci Food Agric, 2025 Jan 27.
    PMID: 39868583 DOI: 10.1002/jsfa.14164
    In recent years, changes in dietary patterns from an omnivore diet to a moderate-to-restrictive diet that includes more plant food are becoming popular for various reasons and the associated health benefits. Despite the increased consumption of plant food as recommended by these seemingly healthy diets, micronutrient deficiency is still prevalent particularly among the health-conscious populations. The aim of this review is to help guide interventions by understanding micronutrient deficiency trends from a dietary habit and plant physiology context. In this review, the author discusses how modern agricultural practices coupled with climate change, and with particular emphasis on the extreme dietary habits that lack variation and excessive consumption, may contribute to an increased ingestion of antinutrients which in turn potentially exacerbate vitamin and mineral deficiencies. While plants possess a wide range of secondary metabolites that exert beneficial health effects, some of these compounds are also antinutrients that interfere with the digestion and absorption of nutrients and micronutrients. Furthermore, the article also raises questions concerning the fate of antinutrient traits in future crops that were to be redesigned with improved stress tolerance, and the impacts it may have on human nutrition and the environment. © 2025 Society of Chemical Industry.
  9. Daud MN
    J Phys Chem A, 2025 Feb 06;129(5):1478-1491.
    PMID: 39869460 DOI: 10.1021/acs.jpca.4c07219
    This study investigates the motion of an electron in a Coulomb potential driven by an intense linearly polarized XUV laser pulse analyzed using Gordon-Volkov wave functions. The wave function is decomposed into spherical partial waves to model the scattered electron wave packet after the recollision with a proton. This interaction triggers high harmonic generation, producing coherent X-ray pulses with frequencies that are integer multiples of the XUV field. The research presents a novel method for achieving atomic-scale resolution at nanometer and subfemtosecond levels, enabling observation of electron-proton collisions on an attosecond time scale. It emphasizes the coupling of fields that create resonances in the scattered electron through photon energy exchange with XUV and X-ray pulses, leading to the formation of a Rydberg electron with energy levels up to n = 27 and angular momentum components l = 13 and m = ± 1. The combination of XUV and high-frequency X-ray fields introduces new nonperturbative nonlinear phenomena characterized by differential cross sections derived using the Floquet-Lippmann-Schwinger equation in the first-order Born approximation. The analysis shows that backward-forward scattering involves XUV-electron energy exchange, with peak intensity along the laser polarization vector, while sideways scattering, dominated by X-ray-electron interaction, peaks perpendicular to the polarization. Additionally, the laser-assisted scattering process results in temporary electron capture in a dressed proton-bound state, followed by escape and ejection, with the free electron ponderomotive energy exceeding 10Up.
  10. Zhao YF, Chaw JK, Ang MC, Tew Y, Shi XY, Liu L, et al.
    PLoS One, 2025;20(1):e0317662.
    PMID: 39869550 DOI: 10.1371/journal.pone.0317662
    Patients with type 1 diabetes and their physicians have long desired a fully closed-loop artificial pancreas (AP) system that can alleviate the burden of blood glucose regulation. Although deep reinforcement learning (DRL) methods theoretically enable adaptive insulin dosing control, they face numerous challenges, including safety and training efficiency, which have hindered their clinical application. This paper proposes a safe and efficient adaptive insulin delivery controller based on DRL. It employed ten tricks to enhance the proximal policy optimization (PPO) algorithm, improving training efficiency. Additionally, a dual safety mechanism of 'proactive guidance + reactive correction' was introduced to reduce the risks of hyperglycemia and hypoglycemia and to prevent emergencies. Performance evaluations in the Simglucose simulator demonstrate that the proposed controller achieved an 87.45% time in range (TIR) median, superior to baseline methods, with a lower incidence of hypoglycemia, notably eliminating severe hypoglycemia and treatment failures. These encouraging results indicate that the DRL-based fully closed-loop AP controller has taken an essential step toward clinical implementation.
    MeSH terms: Algorithms*; Computer Simulation; Humans; Hypoglycemia/prevention & control; Hypoglycemic Agents/administration & dosage; Hypoglycemic Agents/therapeutic use; Insulin/administration & dosage; Insulin Infusion Systems; Pancreas, Artificial*
  11. Jingwen Y, Rahman AA, Tong T, Kamarulzaman NH, Sidek SB
    PLoS One, 2025;20(1):e0310854.
    PMID: 39869571 DOI: 10.1371/journal.pone.0310854
    Small and medium-sized enterprises (SMEs) can gain a competitive advantage by implementing business model innovation (BMI), which is characterized as irreversible changes to a company's business model. However, BMI is often associated with high risk, uncertainty, and ambiguity. In this study, the effectiveness of BMI on improving SME performance is examined using structural equation modeling (SEM) based on data collected from 330 Chinese SMEs. The purpose of this paper is to examine how enterprise risk management (ERM), organizational agility (OA), and entrepreneurial orientation (EO) affect SME performance. The results reveal that ERM, OA, and EO all have a positive impact on efficiency-centered BMI and SME performance; efficiency-centered BMI mediates this pathway. Building on dynamic capabilities theory, this paper combines ERM, OA, and EO into one framework to assess their impact on SME performance. Additionally, a case study is presented to provide suggestions for making decisions about BMI implementation.
    MeSH terms: China; Commerce*; Humans; Organizational Innovation; Entrepreneurship; Models, Organizational
  12. Mehmood S, Amin R, Mustafa J, Hussain M, Alsubaei FS, Zakaria MD
    PLoS One, 2025;20(1):e0312425.
    PMID: 39869573 DOI: 10.1371/journal.pone.0312425
    Software-Defined Networks (SDN) provides more control and network operation over a network infrastructure as an emerging and revolutionary paradigm in networking. Operating the many network applications and preserving the network services and functions, the SDN controller is regarded as the operating system of the SDN-based network architecture. The SDN has several security problems because of its intricate design, even with all its amazing features. Denial-of-service (DoS) attacks continuously impact users and Internet service providers (ISPs). Because of its centralized design, distributed denial of service (DDoS) attacks on SDN are frequent and may have a widespread effect on the network, particularly at the control layer. We propose to implement both MLP (Multilayer Perceptron) and CNN (Convolutional Neural Networks) based on conventional methods to detect the Denial of Services (DDoS) attack. These models have got a complex optimizer installed on them to decrease the false positive or DDoS case detection efficiency. We use the SHAP feature selection technique to improve the detection procedure. By assisting in the identification of which features are most essential to spot the incidents, the approach aids in the process of enhancing precision and flammability. Fine-tuning the hyperparameters with the help of Bayesian optimization to obtain the best model performance is another important thing that we do in our model. Two datasets, InSDN and CICDDoS-2019, are utilized to assess the effectiveness of the proposed method, 99.95% for the true positive (TP) of the CICDDoS-2019 dataset and 99.98% for the InSDN dataset, the results show that the model is highly accurate.
    MeSH terms: Algorithms; Humans; Software; Computer Security*; Neural Networks (Computer)*; Internet
  13. Mohammed SH, Singh MSJ, Al-Jumaily A, Islam MT, Islam MS, Alenezi AM, et al.
    PLoS One, 2025;20(1):e0316536.
    PMID: 39869576 DOI: 10.1371/journal.pone.0316536
    Modernizing power systems into smart grids has introduced numerous benefits, including enhanced efficiency, reliability, and integration of renewable energy sources. However, this advancement has also increased vulnerability to cyber threats, particularly False Data Injection Attacks (FDIAs). Traditional Intrusion Detection Systems (IDS) often fall short in identifying sophisticated FDIAs due to their reliance on predefined rules and signatures. This paper addresses this gap by proposing a novel IDS that utilizes hybrid feature selection and deep learning classifiers to detect FDIAs in smart grids. The main objective is to enhance the accuracy and robustness of IDS in smart grids. The proposed methodology combines Particle Swarm Optimization (PSO) and Grey Wolf Optimization (GWO) for hybrid feature selection, ensuring the selection of the most relevant features for detecting FDIAs. Additionally, the IDS employs a hybrid deep learning classifier that integrates Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks to capture the smart grid data's spatial and temporal features. The dataset used for evaluation, the Industrial Control System (ICS) Cyber Attack Dataset (Power System Dataset) consists of various FDIA scenarios simulated in a smart grid environment. Experimental results demonstrate that the proposed IDS framework significantly outperforms traditional methods. The hybrid feature selection effectively reduces the dimensionality of the dataset, improving computational efficiency and detection performance. The hybrid deep learning classifier performs better in key metrics, including accuracy, recall, precision, and F-measure. Precisely, the proposed approach attains higher accuracy by accurately identifying true positives and minimizing false negatives, ensuring the reliable operation of smart grids. Recall is enhanced by capturing critical features relevant to all attack types, while precision is improved by reducing false positives, leading to fewer unnecessary interventions. The F-measure balances recall and precision, indicating a robust and reliable detection system. This study presents a practical dual-hybrid IDS framework for detecting FDIAs in smart grids, addressing the limitations of existing IDS techniques. Future research should focus on integrating real-world smart grid data for validation, developing adaptive learning mechanisms, exploring other bio-inspired optimization algorithms, and addressing real-time processing and scalability challenges in large-scale deployments.
    MeSH terms: Algorithms; Humans; Computer Security*; Neural Networks (Computer)
  14. Kamarudin SS, Idris IB, Sharip S, Ahmad N
    JMIR Res Protoc, 2025 Jan 27;14:e63564.
    PMID: 39869891 DOI: 10.2196/63564
    BACKGROUND: Postpartum depression remains a significant concern, posing substantial challenges to maternal well-being, infant health, and the mother-infant bond, particularly in the face of barriers to traditional support and interventions. Previous studies have shown that mobile health (mHealth) interventions offer an accessible means to facilitate early detection and management of mental health issues while at the same time promoting preventive care.

    OBJECTIVE: This study aims to evaluate the effectiveness of the Leveraging on Virtual Engagement for Maternal Understanding & Mood-enhancement (LoVE4MUM) mobile app, which was developed based on the principles of cognitive behavioral therapy and psychoeducation and serves as an intervention to prevent postpartum depression.

    METHODS: This single-blinded, pilot randomized controlled trial includes 64 mothers recruited from the postnatal ward and randomized using a 1:1 ratio to receive either postpartum care (treatment as usual) or postpartum care (treatment as usual) plus the self-guided LoVE4MUM mobile app. The primary outcome is the effectiveness of the mobile app at improving postpartum depression. Secondary outcomes are changes in the mental health literacy score and negative automatic thoughts, which are collected using a self-reported questionnaire.

    RESULTS: Patient recruitment began on September 1, 2024. As of January 1, 2025, recruitment was successfully completed, with a total of 72 participants enrolled: 36 in the intervention group and 36 in the control group . The final results are anticipated to be available by March 2025, and publication is expected by the end of 2025.

    CONCLUSIONS: By examining the LoVE4MUM app alongside standard postpartum care, this pilot randomized controlled trial seeks to offer preliminary evidence on the potential of mHealth tools to improve maternal mental health as well as to reduce postpartum depression symptoms. The findings are expected to contribute to the future development of effective, accessible, and scalable interventions for mothers.

    TRIAL REGISTRATION: ClinicalTrials.gov NCT06366035; https://clinicaltrials.gov/study/NCT06366035.

    INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/63564.

    MeSH terms: Adult; Female; Humans; Pilot Projects; Cognitive Therapy/methods; Single-Blind Method; Telemedicine; Mobile Applications*
  15. Zulkeplee SA, Ahmad NE, Sanusi MSM, Hashim S
    Appl Radiat Isot, 2025 Apr;218:111696.
    PMID: 39869950 DOI: 10.1016/j.apradiso.2025.111696
    Dealing with radioactive waste, particularly from various industrial processes, poses significant challenges. This paper explores the use of lithium aluminate borate (Li-Al-B) glass matrix as an alternative method for immobilizing radioactive waste, focusing specifically on waste generated in tin smelting industries, known as tin slag. The study primarily concentrates on transforming tin slag, a byproduct abundant in Natural Occurring Radioactive Material (NORM), into a stable and safe form for disposal. The experimental procedures involve blending different compositions of tin slag and Li-Al-B glass, followed by melting them at 1000 °C for 1 h and then rapidly cooling to room temperature. The resulting glass waste identifies an optimal weight percentage of waste loading (typically ranging from 25% to 45%), to minimize volume while effectively immobilizing radioactive material. Notably, the glass waste exhibited an amorphous phase during the product consistency test (PCT) process, demonstrating the fundamental relationship between waste composition and immobilization efficiency. Energy dispersive X-ray spectroscopy (EDX) analysis confirmed a uniform distribution of major elements within the glass waste, underscoring its structural integrity. Furthermore, the dissolution rate of key elements in the glass waste is analyzed, revealing a robust resistance to leaching under varying pH conditions. The normalized mass loss of Boron (B), Lithium (Li), and Aluminum (Al) consistently remain below established glass limits (<2 gm-2), indicative of the glass's exceptional durability. In conclusion, these findings highlight the potential effectiveness of Li-Al-B glass as a versatile host material for immobilizing solid radioactive waste, extending beyond its initial application with tin slag. By highlighting the positive qualities of this matrix, the study emphasizes its potential flexibility in accommodating various types of solid waste matrices.
  16. Reynard O, Iampietro M, Dumont C, Le Guellec S, Durand S, Moroso M, et al.
    Antiviral Res, 2025 Mar;235:106095.
    PMID: 39870114 DOI: 10.1016/j.antiviral.2025.106095
    Nipah virus (NiV) is a lethal zoonotic paramyxovirus that can be transmitted from person to person through the respiratory route. There are currently no licensed vaccines or therapeutics. A lipopeptide-based fusion inhibitor was developed and previously evaluated for efficacy against the NiV-Malaysia strain. Intraperitoneal administration in hamsters showed superb prophylactic activity and promising efficacy, however the intratracheal delivery mode in non-human primates proved intractable and spurred the development of an aerosolized delivery route that could be clinically applicable. We developed an aerosol delivery system in an artificial respiratory 3D model and optimized the combinations of flow rate and particle size for lung deposition. We characterized the nebulizer device and assessed the safety of lipopeptide nebulization in an African green monkey model that mimics human NiV infection. Three nebulized doses of fusion-inhibitory lipopeptide were administered every 24 h, resulting in peptide deposition across multiple regions of both lungs without causing toxicity or adverse hematological and biochemical effects. In peptide-treated monkeys challenged with a lethal dose of NiV-Bangladesh, animals retained robust levels of T and B-lymphocytes in the blood, infection-induced lethality was significantly delayed, and 2 out of 5 monkeys were protected from NiV infection. The present study establishes the safety and feasibility of the nebulizer delivery method for AGM studies. Future studies will compare delivery methods using next-generation fusion-inhibitory anti-NiV lipopeptides to evaluate the potential role of this aerosol delivery approach in achieving a rapid antiviral response.
    MeSH terms: Administration, Inhalation; Aerosols; Animals; Antiviral Agents/administration & dosage; Antiviral Agents/pharmacology; Cercopithecus aethiops; Disease Models, Animal; Humans; Lung/virology; Nebulizers and Vaporizers*; Viral Fusion Protein Inhibitors/administration & dosage; Viral Fusion Protein Inhibitors/pharmacology
  17. Yasin NM, Polanska M, Verbeken K, Van Impe JFM, Akkermans S
    Bioresour Technol, 2025 Mar;420:132114.
    PMID: 39870143 DOI: 10.1016/j.biortech.2025.132114
    Environmental pollution from packaging, has led to a need for sustainable alternatives. This study investigates the biodegradation of polylactic acid (PLA) by Amycolatopsis orientalis and Amycolatopsis thailandensis after thermal and thermal-alkaline pretreatments. The biodegradation was assessed based on weight loss, CO2 evolution, carbon balance analysis and scanning electron microscopy (SEM). The analysis showed that pretreatment at 37 °C for 8 h provided effective enhancement of the biodegradation performance. Combining thermal pretreatment with alkaline conditions led to chemical degradation of PLA, but is less suitable as a pretreatment for biodegradation. It was also demonstrated that the mineralization rate over a two-week period was higher following thermal than thermal-alkaline pretreatment. SEM confirmed improved biodegradation as illustrated by increased surface roughness. These findings suggest that thermal pretreatment at 37 °C for 8 h is the most effective strategy for enhancing PLA biodegradation by Amycolatopsis spp., promoting a sustainable approach to plastic waste management.
    MeSH terms: Alkalies/pharmacology; Biodegradation, Environmental*; Carbon Dioxide/metabolism; Hydrogen-Ion Concentration; Microscopy, Electron, Scanning; Polymers/chemistry; Temperature; Lactic Acid/metabolism
  18. Cho JH, Nam HS, Park SY, Ho JPY, Lee YS
    J Knee Surg, 2025 Jan 27.
    PMID: 39870165 DOI: 10.1055/a-2525-4622
    Categorization of alignment into phenotypes can be useful for predicting and analyzing postoperative alignment changes after opening-wedge high tibial osteotomy (OWHTO). The purposes of this study were (1) to develop a machine learning model for the predicting the Coronal Plane Alignment of the Knee (CPAK) phenotypes of final alignment after OWHTO, and (2) to analyze predictive factors for final alignment phenotypes. Data were retrospectively collected from 163 knees that underwent OWHTO between March 2014 and December 2019. Each data was assessed at three time points: preoperatively, at 3 months postoperatively, and the final follow-up. Constitutional alignment was also evaluated. Machine learning models were developed using two independent feature sets consisting of serial radiologic parameters and CPAK phenotypes. The area under the curve (AUC) was used as a primary metric to determine the best model. To evaluate the feature importance, Shapley additive explanation (SHAP) analysis was also performed on the best model. Multi-layer perceptron (MLP) was the best prediction model, with the highest AUC of 0.867 based on radiologic parameters and 0.783 based on CPAK phenotypes. Joint line obliquity (JLO) at 3 months postoperatively was the most important factor among the radiologic parameters for predicting the final CPAK phenotypes. The features of constitutional and preoperative alignments also contributed, although the features of alignments at 3 months postoperatively were the highest contributing predictors. In conclusion, the developed machine learning models of the MLP showed excellent performance in predicting the final CPAK phenotypes after OWHTO. Postoperative JLO was the most important radiologic parameter for predicting the final alignment. The combination of features of the constitutional, preoperative, and postoperative periods enabled high accuracy and performance in predicting the final alignment. Level of evidence: Retrospective cohort study; Level III Key words: Knee, High tibial osteotomy, CPAK classification, Machine learning, Prediction.
  19. Arthanareeswaran G, Sankar K, Parvin US, Taweepreda W, Ismail AF
    Int J Biol Macromol, 2025 Apr;301:140266.
    PMID: 39870274 DOI: 10.1016/j.ijbiomac.2025.140266
    This study focuses on the development of an efficient membrane-based clarification process to enhance the performance of subsequent ultrafiltration and produce high-quality sweet lime juice. A range of casting solutions were prepared using a blend of pore-forming polymers, including polyvinylpyrrolidone (PVP), polyvinylidene fluoride (PVDF), and cellulose acetate (CA), dissolved in dimethylformamide (DMF) solvent through the phase inversion technique. To further enhance the membrane's performance, four biopolymers poly (lactic acid) (PLA), xanthan gum, chitosan, and gelatin were incorporated, with and without clay, to refine its structure, porosity, and surface properties. The resulting membranes were characterized by FT-IR, SEM, and AFM, and their flux behaviour and fouling profiles were evaluated. The quality of the clarified juice was assessed by measuring total suspended solids (TSS), clarity, color, and apparent alcohol insoluble solids (AIS). Despite a reduction in permeate flux, the Xanthan-clay-loaded membrane enhanced juice quality and clarity. For the PLA-based membrane and the xanthan-based membrane, the fouling coefficient was lower. This membrane-based clarification technique can be applied effectively in the juice processing industries to improve product quality.
    MeSH terms: Biopolymers/chemistry; Membranes, Artificial*; Polysaccharides, Bacterial/chemistry; Ultrafiltration/methods; Porosity
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