Browse publications by year: 2025

  1. Ab Ghani N, Maran S, Abdul Kadir MR, Somasundaram S, Raghavendran HRB, Kamarul Zaman T
    PMID: 39918759 DOI: 10.1080/09205063.2025.2460370
    In orthopaedic clinical applications, creating biocomposite bone substitutes to take the place of autologous bone transplants is still difficult. Studies have demonstrated for decades that poly (lactic-co-glycolic acid) [PLGA], a common polymer, has many benefits that make it a strong contender for bone replacement. These include biodegradability, good mechanical qualities, and the ability to induce new bone production. Although calcium-based materials are frequently used as bone fillers in bone implantation, the efficiency of ceramic materials containing calcium may be hampered by a number of issues, including low microporosity and quick rates of degradation. In order to overcome these obstacles, scientists are investigating ways to improve implant performance by combining PLGA with other materials, especially in terms of encouraging improved connections with nearby bone cells. An overview of the chemical properties of different PLGA-based scaffold composites, as well as the benefits and drawbacks of PLGA-Calcium implants in tissue engineering applications, are the goals of this review. It also highlights the possible advantages and consequences of using PLGA in 3D printing technology to improve bone tissue engineering clinical outcomes.
  2. Green ZA, Karuppannan G
    Psychol Rep, 2025 Feb 07.
    PMID: 39918974 DOI: 10.1177/00332941251317676
    This research demonstrates the construction and preliminary examination of the structure of a domain-specific measure, namely the Character Strengths Scale for University Students (CSSUS). Reflecting the use of the 24 Values in Action (VIA) strengths in the study domain, the CSSUS likely adds greater specificity to the findings pertinent for devising and implementing meaningful strategies for furthering academic development, student learning, and well-being in higher education. Derived from best practices, the item generation process of the CSSUS was based on four steps: (1) identification of the domain, (2) item generation, (3) content validity, and (4) field pre-testing of the items of the CSSUS. The initial examination of the factors of the CSSUS was based on a sample of 540 undergraduate and graduate students studying in Lahore, Pakistan. Results provided evidence of a four-factor structure of the CSSUS. Furthermore, the CSSUS and its subscales were positively related to academic achievement and the measures of satisfaction with life, positivity, and student self-efficacy. In addition, the CSSUS and its subscales were negatively related to the measure of academic burnout. The correlations provided evidence of the concurrent criterion-related validity of the scale. Moreover, female students reported higher levels of love and spirituality, whereas male students higher levels of leadership, creativity, and bravery. Also, there was no significant difference in the use of academic virtues with regard to gender, level of education (undergraduate and graduate), study discipline (agricultural sciences, humanities, health sciences, and engineering technology), type of university (public and private), and level of academic performance (low, medium, and high). The theoretical contribution and practice implications of the results are discussed. Limitations of the study and prospects for future research are also discussed.
  3. Tan LL, Mohamad NS, Hassan NI, Goh CT
    PLoS One, 2025;20(2):e0315974.
    PMID: 39919092 DOI: 10.1371/journal.pone.0315974
    Zinc has been demonstrated to boost immune response during SAR-CoV-2 infection, where it prevents coronavirus multiplication. Clinical investigations have testified to its beneficial effects on respiratory health and its deficiency may reduce immune function. A highly sensitive detection of Zn(II) ion via differential pulse voltammetry (DPV) utilizing an environmentally friendly modified screen-printed carbon electrode (SPCE) of electrochemically reduced graphene oxide (ErGO) embedded with carboxylated-8-carboxamidoquinoline (CACQ) as Zn(II) chelating ligand. The green CACQ/ErGO-modified SPCE was characterized by spectroscopy techniques, such as Fourier-transform infrared (FTIR) spectroscopy, Raman spectroscopy, and field-emission scanning electron microscopy with energy dispersive X-ray (FESEM-EDX). The modified electrode-solution interface was studied by electrochemical cyclic voltammetry (CV) and DPV methods. The CACQ-modified wrinkled ErGO electrode conferred a large surface-to-volume ratio with multiple binding sites resulting in greater opportunity for multiple dative covalent binding events with Zn(II) via coordination chemistry, and considerably accelerated the electron transfer rate at the electrode surface. The green Zn(II) sensor demonstrated a quick response time (60 s), broad linear range [1 pM-1 μM Zn(II) ion], a limit of detection (LOD) of 0.53 pM, 35 days of storage period (≥80% of its initial response retained), good reproducibility [relative standard deviation (RSD) = 3.4%], and repeatability (RSD = 4.4%). The developed electrode was applied to determine Zn(II) ion concentration in dietary supplement samples, and the results were in good agreement with those obtained from inductively coupled plasma-mass spectrometry (ICP-MS).
    MeSH terms: Electrodes*; Humans; Oxidation-Reduction; Quinolines/chemistry; Limit of Detection
  4. Panyushkina A, Matyushkina D, Pobeguts O, Muravyov M, Letarov A
    J Hazard Mater, 2025 Feb 03;488:137490.
    PMID: 39919630 DOI: 10.1016/j.jhazmat.2025.137490
    Mine waste disposal in dumps and stockpiles causes environmental pollution, particularly through microbe-assisted acid mine drainage (AMD) generation and groundwater contamination with hazardous heavy metal(loid)s. Metal hyper-resistance in acidophilic microorganisms remains an underexplored intriguing phenomenon. Using a multi-level approach, we provide the first data on extreme zinc resistance mechanisms in Sulfobacillus thermotolerans, recognized as one of the most metal-resistant organisms known. Under high zinc levels, Sb. thermotolerans cells exhibited efficient zinc sorption and low intracellular accumulation. Remarkably, mechanisms involved the upregulation of stress response and metabolic pathway proteins, including different GroEL chaperonin forms. Moreover, overexpression of the Sb. thermotolerans StGroEL chaperonin in Escherichia coli enhanced its growth and zinc resistance under zinc stress. 3D structure modeling and ion binding site prediction in StGroEL revealed 46 amino acid residues potentially involved in zinc docking. Thriving in natural and engineered environments, such as sulfide mines, mine waste disposal sites, and AMD, Sb. thermotolerans is a key member of acidophilic microbial communities used in commercial biotechnologies for sulfidic raw material processing. These findings, beyond their fundamental scientific relevance, have important implications for environmental protection, including AMD management, safe hazardous waste disposal, and a broader application of eco-friendly biomining technologies using metal-resistant microbial communities.
  5. Goh ABH, Ling JG, Kamaruddin S, Murad AMA, Bakar FDA
    FEMS Microbiol Lett, 2025 Feb 07.
    PMID: 39919763 DOI: 10.1093/femsle/fnaf021
    Carboxylic acid reductases (CARs) have been garnering attention in applications for the sustainable synthesis of aldehydes. Despite numerous discoveries, not all characteristics of CAR enzymes have been extensively studied or understood. Herein, we report the discovery and expression of a new CAR enzyme (TvirCAR2) from the ascomycetous fungus, Trichoderma virens. Tvircar2 is one of five putative CARs identified from analyses of the T. virens genome. In silico analyses showed that TvirCAR2 has a high hydrophobicity index and that its corresponding gene is part of a biosynthetic gene cluster predicted to synthesize hybrid PKS-NRPS secondary metabolites. TvirCAR2 was highly expressed as soluble and insoluble forms in an Escherichia coli expression host. The solubility of the purified TvirCAR2 necessitated the addition of glycerol in the purification and assay buffers. Substrate screening via molecular docking showed that benzoic acid was a suitable substrate candidate. The TvirCAR2 enzyme catalyzed the reduction of benzoic acid with a specific activity of around 1.4 µmol/h/mg. Homologs which are predicted to exhibit similar hydrophobicity are the CARs from Stachybotrys bisbyi (StbB) which is involved in the production of the meroterpenoid, ilicicolin B, and Trichoderma reesei (TrCAR) which is part of a similar but still uncharacterized biosynthetic gene cluster.
  6. Panliang M, Madaan S, Babikir Ali SA, J G, Khatibi A, Alsoud AR, et al.
    Sci Rep, 2025 Feb 07;15(1):4665.
    PMID: 39920157 DOI: 10.1038/s41598-025-85206-9
    Facial expression recognition (FER) has advanced applications in various disciplines, including computer vision, Internet of Things, and artificial intelligence, supporting diverse domains such as medical escort services, learning analysis, fatigue detection, and human-computer interaction. The accuracy of these systems is of utmost concern and depends on effective feature selection, which directly impacts their ability to accurately detect facial expressions across various poses. This research proposes a new hybrid approach called QIFABC (Hybrid Quantum-Inspired Firefly and Artificial Bee Colony Algorithm), which combines the Quantum-Inspired Firefly Algorithm (QIFA) with the Artificial Bee Colony (ABC) method to enhance feature selection for a multi-pose facial expression recognition system. The proposed algorithm uses the attributes of both the QIFA and ABC algorithms to enhance search space exploration, thereby improving the robustness of features in FER. The firefly agents initially move toward the brightest firefly until identified, then search transition to the ABC algorithm, targeting positions with the highest nectar quality. In order to evaluate the efficacy of the proposed QIFABC algorithm, feature selection is also conducted using QIFA, FA, and ABC algorithms. The evaluated features are utilized for classifying face expressions by utilizing the deep neural network model, ResNet-50. The presented FER system has been tested using multi-pose facial expression benchmark datasets, including RaF (Radboud Faces) and KDEF (Karolinska Directed Emotional Faces). Experimental results show that the proposed QIFABC with ResNet50 method achieves an accuracy of 98.93%, 94.11%, and 91.79% for front, diagonal, and profile poses on the RaF dataset, respectively, and 98.47%, 93.88%, and 91.58% on the KDEF dataset.
    MeSH terms: Algorithms*; Animals; Artificial Intelligence; Bees/physiology; Facial Expression*; Humans; Fireflies
  7. Pan J, Ng CL, Lim TS, Choong YS
    J Mol Model, 2025 Feb 08;31(3):77.
    PMID: 39920469 DOI: 10.1007/s00894-025-06298-8
    CONTEXT: S100 calcium-binding protein A9 (S100A9) is easily assembled into amyloid aggregates in solution. These amyloid aggregates cause retinal toxicity and act as an attachment core for Aβ fibrillar plaques that contribute to Alzheimer's disease progression. The overexpression of S100A9 is also noticed in various malignancies. Therefore, the S100A9 amyloid formation inhibition is of significant interest. In comparison with small-molecule drugs, short peptides demonstrate higher specificity, potency, and biosafety. Hence, it could be beneficial to identify potential peptides to inhibit or disrupt S100A9 amyloid aggregation. Typical peptide design and identification via experimental means requires extensive preparation procedures and is limited to random selection of peptides. Virtual screening therefore offers an unbiased, higher throughput, and economically efficient approach in peptide drug development. Here, we reported in silico pentapeptide design against S100A9 and studied the interaction of pentapeptide with S100A9 that leads to the binding of the peptide with S100A9.

    METHOD: Docking simulation resulted in three top binding free energy tripeptides (WWF, WPW, and YWF) with comparable affinity towards a known S100A9 inhibitor (polyphenol oleuropein aglycone; OleA). Subsequently, pentapeptides that consist of the three core tripeptides were selected from a pre-constructed pentapeptide library for further evaluation with docking simulation. Based on best docked binding free energy, two pentapeptides (WWPWH and WPWYW) were selected and subjected to 500 ns molecular dynamics (MD) simulation to study the important features that lead to the binding with S100A9. MMGBSA binding free energy calculation estimated - 30.38, - 24.58, and - 30.31 kcal/mol for WWPWH, WPWYW, and OleA, respectively. The main driving force for pentapeptide-S100A9 recognition was contributed by the electrostatic interaction. The results demonstrate that at in silico level, this workflow is able to design potential pentapeptides that are comparable with OleA and might be the lead molecule for future use to disaggregate S100A9 fibrils.

    MeSH terms: Binding Sites; Computer Simulation; Humans; Oligopeptides/metabolism; Oligopeptides/pharmacology; Oligopeptides/chemistry; Protein Binding; Drug Design; Molecular Dynamics Simulation; Molecular Docking Simulation*
  8. Prabhakar H, Lele AV, Kapoor I, Mahajan C, Shrestha GS, Rao CV, et al.
    Neurocrit Care, 2025 Feb 07.
    PMID: 39920547 DOI: 10.1007/s12028-025-02210-7
    BACKGROUND: This study aimed to assess the organization, infrastructure, workforce, and adherence to protocols in neurocritical care across low- and middle-income countries (LMICs), with the goal of identifying key gaps and opportunities for improvement.

    METHODS: We conducted a cross-sectional survey of 408 health care providers from 42 LMICs. The survey collected data on the presence of dedicated neurointensive care units, workforce composition, access to critical care technologies, and adherence to evidence-based protocols. Data were analyzed using descriptive statistics, and comparisons were made across different geographical regions (East Asia and the Pacific, Europe and Central Asia, Latin America and the Caribbean, the Middle East and North Africa, and South Asia and sub-Saharan Africa) and economic strata [low-income countries (LICs), lower middle-income countries (LoMICs), and upper middle-income countries (UMICs)].

    RESULTS: Only 36.8% of respondents reported access to dedicated neurointensive care units: highest in the Middle East (100%), lowest in sub-Saharan Africa (11.5%), highest in LoMICs (42%), and lowest in LICs (13%). Access to critical care technologies, such as portable computed tomography scanners (9.3%; UMICs 11%, LICs 0%) and tele-intensive care unit services (14.9%; UMICs 19%, LICs 10%), was limited. Workforce shortages were evident, with many institutions relying on anesthesia residents for 24-h care. Adherence to protocols, including those for acute ischemic stroke (61.7%) and traumatic brain injury (55.6%), was highest in Latin America and the Caribbean (72% and 73%, respectively) and higher in UMICs (66% and 60%, respectively) but remained low in LICs (22% and 32%, respectively).

    CONCLUSIONS: The study highlights critical gaps in infrastructure, workforce, and technology across LMICs, yet it also underscores the potential for improvement. Strategic investments in neurointensive care unit capacity, workforce development, and affordable technologies are an unmet need in resource-limited settings. These findings offer a road map for policymakers and global health stakeholders to prioritize neurocritical care and reduce the disparities in patient outcomes globally.

  9. Ang CPT, Ganthel K, Ho JPY, Devi K, Cheong JKY
    J Orthop Surg Res, 2025 Feb 07;20(1):145.
    PMID: 39920761 DOI: 10.1186/s13018-024-05443-y
    BACKGROUND: Achieving soft tissue balance is challenging in valgus arthritic knee because of a combination of anomalies in the soft tissues and bones. It has been stipulated that contemporary robotic systems are more precise than traditional instrumentation. Its advantage lies in the soft tissue algorithms. Presently, there is paucity of information on the use of robotic-assisted TKA in addressing moderate and severe valgus deformities. The aim of this series is to demonstrate the utility of robotic-assisted surgery in TKA for arthritic knees with moderate and severe valgus deformities, including accuracy, soft tissue releases performed and level of constraint required.

    METHODS: This is a single surgeon series of 14 cases of moderate and severe valgus osteoarthritic knees who underwent robotic-assisted TKA, utilizing the robotic surgical assistant ROSA® System.

    RESULTS: All patients were restored to within 3° of the planned alignment. 8 patients were implanted with cruciate retaining implants, 2 had ultracongruent implants, 3 had posterior stabilized implants, and 1 had a constrained posterior stabilized implant. No patients required release of the popliteus tendon or origin of the lateral collateral ligament. No perioperative complications were encountered in all cases. All patients reported an improvement in the Forgotten Joint Score of > 10.8 at 1year follow up with a 100% satisfaction rate.

    CONCLUSION: In this case series, the utilization of robotic assisted the surgeon to achieve a final limb alignment to within 3° of the planned alignment with minimal use of constrained prostheses and good patient-reported outcomes in moderate and severe valgus deformities.

    MeSH terms: Aged; Aged, 80 and over; Female; Humans; Knee Joint/surgery; Male; Middle Aged; Severity of Illness Index; Treatment Outcome
  10. Taha BA, Abdulrahm ZM, Addie AJ, Haider AJ, Alkawaz AN, Yaqoob IAM, et al.
    Talanta, 2025 Feb 04;287:127693.
    PMID: 39919475 DOI: 10.1016/j.talanta.2025.127693
    Multi-omics profiling integrates genomic, epigenomic, transcriptomic, and proteomic data, essential for understanding complex health and disease pathways. This review highlights the transformative potential of combining optical nanosensors with artificial intelligence (AI). It is possible to identify disease-specific biomarkers using real-time and sensitive molecular interactions. These technologies are precious for genetic, epigenetic, and proteomic changes critical to disease progression and treatment response. AI improves multi-omics profiling by analyzing large, diverse data sets and common patterns traditional methods overlook. Machine learning tools Biomarkers Discovery is revolutionizing, drug resistance is being understood, and medicine is being personalized as the combination of AI and nanosensors has advanced the detection of DNA methylation and proteomic signatures and improved our understanding of cancer, cardiovascular disease and vascular disease. Despite these advances, challenges still exist. Difficulties in integrating data sets, retaining sensors, and building scalable computing tools are the biggest obstacles. It also examines various solutions with advanced AI algorithms and innovations, including fabrication in nanosensor design. Moreover, it highlights the potential of nanosensor-assisted, AI-driven multi-omics profiling to revolutionize disease diagnosis and treatment. As technology advances, these tools pave the way for faster diagnosis, more accurate treatment and improved patient outcomes, offering new hope for personalized medicine.
  11. Latif MFA, Ghazali NNN, Rozali S, Badruddin IA, Kamangar S
    Comput Methods Programs Biomed, 2025 Apr;261:108610.
    PMID: 39919603 DOI: 10.1016/j.cmpb.2025.108610
    BACKGROUND AND OBJECTIVE: Obstructive sleep apnoea (OSA) is a prevalent sleep disease characterised by recurrent airway obstruction during sleep, resulting in diminished oxygen intake and disrupted sleep patterns. This study investigates the effectiveness of mandibular advancement surgery as a surgical intervention for obstructive sleep apnoea by analysing the postoperative alterations in turbulence kinetic energy (TKE).

    METHODOLOGY: The research involved five subjects receiving mandibular advancement surgery (MAS). The quantification of TKE was performed both before and throughout the method using a combination of computational fluid dynamics (CFD) models and empirical measurements. A suitable grid size of 2.6 million cells for CFD simulations was determined by grid sensitivity analysis and corroborated with physical measurements.

    RESULTS: The findings indicated a significant increase in TKE for each individual post-procedure, with increments varying from 23 % to 460 %. The elevated TKE indicates a more rapid airflow in the upper airway post-surgery. This is probably attributable to alterations in the airway's morphology resulting from the surgery. The observed rise in speed and turbulence is theoretically supported by Bernoulli's principle, which elucidates the relationship between air flow velocity and the pressure it generates.

    CONCLUSIONS: This study demonstrates that mandibular advancement surgery efficiently alleviates OSA by markedly enhancing airflow and diminishing turbulence in the upper airway post-treatment. The use of physical validation and grid sensitivity analysis in computational fluid dynamics simulations underscores the meticulous technique utilised, offering a comprehensive assessment of the efficacy of the surgical interventions for OSA.

    MeSH terms: Adult; Computer Simulation; Humans; Kinetics; Male; Middle Aged; Treatment Outcome; Hydrodynamics*
  12. Yeo YH, Lim GK, Mee XC, Ang QX, Tan MC
    Cardiovasc Revasc Med, 2025 Feb 01.
    PMID: 39919980 DOI: 10.1016/j.carrev.2025.01.013
    BACKGROUND: There is an increasing preference of utilizing valve-in-valve transcatheter aortic valve replacement (ViV TAVR) after bioprosthetic valve failure. However, updated large-scale analysis investigating early-mortality after the patients underwent ViV TAVR is limited.

    OBJECTIVE: This study aimed to assess in-hospital early mortality and analyze the factors associated with in-hospital early mortality among patients who underwent ViV TAVR.

    METHODS: Using the all-payer, nationally representative National Readmission Database, our study included patients aged 18 years or older who had ViV TAVR between 2017 and 2020. We categorized the cohort into two groups depending on the occurrence of in-hospital early mortality (death within 30 days after the procedure). Based on the ICD-10, we identified the trend of in-hospital early mortality after ViV TAVR and further analyzed the significant factors associated with it.

    RESULTS: After adjustment, a total of 11,009 patients who had ViV TAVR were included in this study. 329 (3.0 %) had in-hospital early mortality and 10,680 (97.0 %) without. There was a decreasing trend in in-hospital early mortality from 3.3 % in 2017 to 1.0 % in 2020, but it was insignificant (p = 0.71). In multivariable analysis, the independent factors associated with in-hospital early mortality were chronic liver disease (adjusted odds ratio [aOR]: 3.62; 95 % confidence interval [CI]: 1.96-6.71, p 

  13. Mathew RT, Alkhamis YA, Alngada RS, Whed RA, Aljaafari NA, Abdelnour SA, et al.
    Vet Res Commun, 2025 Feb 08;49(2):101.
    PMID: 39920512 DOI: 10.1007/s11259-025-10660-9
    Phytochemicals and essential oils have been widely used as growth promoters in aquaculture. However, the optimal dose of a blend of essential oils for promoting the growth and health of African catfish (Clarias gariepinus) remains largely unknown. Therefore, the present study aimed to assess the dose-response effects of dietary supplementation with a blend of clove and peppermint oils (CPO) on growth indices, feed utilization, physio-metabolic responses, immunity, and organ histology in African catfish. Catfish (105.1 ± 0.5 g) were fed diets containing 0.0 (control; CPO0), 1.0 (CPO1), 2.0 (CPO2), or 3.0 mL CPO/kg diet for two months. The results displayed that fish performance and feed intake significantly improved with increasing CPO levels in a linear manner (P 
    MeSH terms: Animals; Dose-Response Relationship, Drug*; Liver/drug effects; Liver/metabolism
  14. Alhothily IAA, Dapari R, Dom NC
    BMC Public Health, 2025 Feb 07;25(1):510.
    PMID: 39920646 DOI: 10.1186/s12889-025-21700-z
    BACKGROUND: Yemen has experienced a dramatic increase in neglected tropical diseases (NTDs) amidst ongoing conflict and humanitarian crises. This systematic review aims to consolidate and analyse the available literature on NTDs in Yemen, focusing on aetiology, geographic distribution, and associated risk factors.

    METHODS: A comprehensive literature search was conducted across five international databases and one national database, resulting in 3,652 identified records. After screening and applying eligibility criteria, 230 articles were included in this review. Data extraction focused on publication year, study design, sample types, diagnostic methods, reported pathogens, and geographic distribution. The aetiology of reported NTDs was categorized into four groups: viruses, bacteria, protozoa, and helminths.

    RESULTS: Viral NTDs were the most frequently reported, accounting for 39% of the articles, followed by bacterial (26%), helminthic (21%), and protozoal NTDs (15%). Dengue virus, hepatitis B and C viruses were the most prominent viral pathogens, while bacterial NTDs were primarily caused by Escherichia coli, cholera, and Salmonella. Schistosomiasis and ascariasis were the most reported helminth infections, whereas leishmaniasis and malaria were the leading protozoal NTDs. Geographically, over 69% of the reported studies focused on northern Yemen, with the highest concentrations in Sana'a, Al Hudaydah, and Taiz. The review identified multiple risk factors, including poor sanitation, inadequate water quality, and urbanization, exacerbating NTD prevalence.

    CONCLUSIONS: The findings highlight the significant burden and regional disparities of NTDs in Yemen, emphasizing the need for targeted interventions. Prioritizing improvements in sanitation, water quality, and vector control measures, alongside community engagement, is critical. Policymakers must allocate resources effectively to address the root causes of NTDs and strengthen Yemen's healthcare infrastructure.

    MeSH terms: Humans; Public Health; Risk Factors; Tropical Medicine; Yemen/epidemiology
  15. Bozkurt M, Pulatkan A, Kornilov NN, Coffey SP, Bakr H, Paner NT, et al.
    J Arthroplasty, 2025 Feb;40(2S1):S69-S71.
    PMID: 39437862 DOI: 10.1016/j.arth.2024.10.070
  16. Sa N, Nie K, Ng YS, Deng T, Xu J, Wang W, et al.
    Nanotechnology, 2025 Feb 06;36(11).
    PMID: 39746220 DOI: 10.1088/1361-6528/ada4b7
    The graphitic carbon nitride (g-C3N4) is an important optoelectronic and photocatalytic material; however, its application is limited by the high recombination rate of the electron-hole (e--h+) pairs. In this work, we reported a novel strategy combining two-step annealing treatment and ionic-liquid (IL) gating technology for effectively regulating the properties of g-C3N4, especially largely reducing the recombination rate of the e--h+pairs, which is evidenced by a remarkable reduction of the photoluminescence (PL) intensity. Firstly, g-C3N4samples with typical layered structure were obtained by annealing melamine with temperature of 600 °C. Further annealing of the samples at 600 °C with much longer time (from 4 h to 12 h) were found to effectively reduce the imperfections or defects, and thus the PL intensity (49% reduction). This large reduction of PL intensity is attributed to the improved interconnection of triazine units, the shortened charge transfer diffusion distances, and the reduced interlayer spacing, which facilitate electron relocation on the g-C3N4surface. Secondly, by post-treating the annealed sample with IL, the PL intensities were found to be further reduced, mainly due to the passivation of charged defect centers by IL. Additionally, applying an external electric field in an IL environment can significantly enhance the charged defect passivation. Overall, by utilizing electric field-controlled IL gating, defect states in g-C3N4were passivated, leading to a significant reduction in PL intensity and an extension of PL lifetime, thereby effectively decreasing the e--h+recombination rate in the material. This study demonstrates a new approach for defect passivation, providing insights and strategies for modulating properties of advanced materials such as g-C3N4.
  17. Kumar C P, Banumathi, Satyanarayan ND, Prasad SR, Achur RN, Prabhakar BT
    PMID: 39912901 DOI: 10.1007/s00210-025-03830-8
    Cancer is a heterogeneous and multicomplex disease with the highest morbidity and mortality rate. The targeting of tumour progression with drugs is a very well-established treatment strategy. Despite these, due to the failure of commonly used drugs in combating cancer, new drugs need to be screened and established for better therapeutic approach. With this rationale, the current investigation was aimed to develop quinoline compound (QC) derivatives as anti-tumour molecules. In this extended study, a series of QC analogues were subjected to anti proliferative assays through cell-based screening and evaluated its mechanism of action through apoptotic and anti-angiogenic assays. The change in cell behaviour was assessed through gene expression analysis using qRT-PCR and immunoblot analysis. Further, in vivo solid tumour model was developed and the anti-tumour potential of QC-4 was verified with gene expression studies. The results suggested that QC-4 exhibited significant cytotoxic effect, particularly against human lung adenocarcinoma cell lines and murine Ehrlich Ascites Carcinoma cells. The QC-4 induced condensation, nuclear damage and changes in membrane integrity resulted in apoptosis and neovascularisation inhibition. The modulation of apoptotic and angiogenic genes such as BAX, BAD, p53 and MMP-2 and 9 further supported the molecular cause of cytotoxicity induced by QC-4. The regression of in vivo solid tumour with extended survivability warranted the in vitro results and the gene expression patterns were additionally supportive. Overall, the QC-4 analogue exhibits the anti-neoplastic with a multi-target approach, reserving its capacity to be developed into a new class of the anticancer molecules.
  18. Maskim N, Mohd Tahir NNZ, Wan Hassan WN
    Clin Oral Investig, 2025 Feb 06;29(2):117.
    PMID: 39912971 DOI: 10.1007/s00784-025-06199-3
    INTRODUCTION: There is currently no recommendation for retaining corrected bimaxillary proclination cases. This study aimed to compare retention protocols for maintaining stability of such cases.

    MATERIALS AND METHODS: In this single-center, single-blinded parallel control trial, 27 participants were assigned to three groups using block randomization with a 1:1:1 allocation ratio; fixed bonded retention (FBR), vacuum-formed retention (VFR), and dual retention (DR) comprising both types. Data were collected every 3-months from debond (T0) for 12 months (T4). The primary outcomes measured changes in soft and dental tissue parameters on traced lateral cephalograms. Secondary outcomes included intra-arch changes and the oral health impact profile (OHIP-14[M]). This trial was registered with Clinicaltrial.gov (NCT04578704).

    RESULTS: At T4, the upper lip, lower lip, and upper incisors moved anteriorly (mean difference (MD) of 1.63 mm (SD 3.7), 0.48 mm (SD 1.1), and 0.54 mm (SD 0.97), respectively). The upper and lower incisors were proclined by 0.96 degrees (SD 2.1) and 1.11 degrees (SD 2.63), respectively. The interincisal angle was reduced by 0.56 degrees (SD 1.23). Only the upper incisor inclination (UII) change showed significant differences between groups (η² = 0.296; p = 0.015). Post-hoc comparisons revealed that the FBR and VFR groups exhibited greater proclination than the DR group (UII, MD = 3.33 degrees and 3.22 degrees, respectively). No differences were observed in OHIP-14[M] scores between the groups.

    CONCLUSION: All three retention protocols showed statistically small but clinically insignificant changes.

    CLINICAL RELEVANCE: Dual retention offers better control in preventing upper incisor proclination in bimaxillary proclination cases.

    TRIAL REGISTRATION: This trial was registered with Clinicaltrial.gov (NCT04578704).

    MeSH terms: Adolescent; Adult; Cephalometry*; Female; Humans; Male; Maxilla; Single-Blind Method; Orthodontic Appliance Design; Treatment Outcome; Orthodontic Retainers*
  19. Al-Moamary M, Aggarwal B, Al-Ahmad M, Sriprasart T, Koenig S, Levy G, et al.
    Adv Ther, 2025 Feb 06.
    PMID: 39912987 DOI: 10.1007/s12325-025-03105-x
    INTRODUCTION: Patient adherence to regular controller medication is critical for improving clinical outcomes in asthma, which is consistently associated with underlying pathophysiological inflammation. This survey aimed to identify types of treatment nonadherence and associated factors, including patient characteristics that predict poor adherence, in patients with asthma.

    METHODS: This cross-sectional online survey involved patients with asthma and physicians managing such patients from Southeast Asia (Indonesia, Malaysia, Philippines, Thailand and Vietnam) and the Middle East (Saudi Arabia and United Arab Emirates) included in the Asthma Patients' and Physicians' Perspectives on the Burden and Management of Asthma (APPaRENT) 3 study. Patients and physicians shared their attitudes and beliefs regarding treatment and adherence in asthma management.

    RESULTS: Most patients (82%, 1108/1354) reported having ever received treatment with daily controller inhalers, whereas 38% used inhaled relievers at least once daily for symptomatic relief. Among those prescribed maintenance and reliever therapy, 93% were prescribed a separate inhaled reliever, with significant variation by country (P 

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