Browse publications by year: 2023

  1. Hassan HA, Muhammed SS, Al-Khdhairawi A, Abdelwahab SF, Abdel-Rahman IM, Abdelhamid MM
    J Biomol Struct Dyn, 2023 Aug 16.
    PMID: 37584104 DOI: 10.1080/07391102.2023.2246563
    Extracellular signal-regulated kinase 2 (ERK-2) is a serine/threonine protein kinase in eukaryotic cells and belongs to the mitogen-activated protein kinase (MAPK) family. An activated form of ERK-2 phosphorylates substrates in the nucleus or cytoplasm and causes specific proteins to be expressed or activated, regulating cell proliferation, differentiation and other functions. Caffeic acid (3,4 - dihydroxy cinnamic acid), as previously reported, directly interacts with ERK-2 and reduces its effects in vitro. It is also reported to have a variety of pharmacological effects, including anti-inflammatory, immunomodulatory, antioxidant and anticancer activities. In the current study, a deep-learning protocol was employed to develop effective 100 compounds by modifying the chemical structure of DHC to improve its inhibitory performance against ERK-2. Calculations of physicochemical properties for those compounds revealed that 20 compounds had drug scores better than DHC (≥ 80%). Following that, molecular docking calculations were performed on the selected compounds and DHC. The obtained data revealed that five compounds had docking scores better than DHC (≥ -5.9 kcal/mol). Moreover, data from molecular mechanics and the Poisson - Boltzmann surface area (MM/PBSA) binding energy over 200 ns MD simulation confirmed that Cmd-1 and Cmd-4 exhibited higher stability with ΔGbinding of -40.8 and -49.1 kcal/mol, respectively, which is better than DHC (-35.1 kcal/mol). Finally, various energetic and structural studies showed the high stability of the two generated compounds within the active site of ERK-2. This study highlights the potential use of Cmd-1 and Cmd-4 as promising anti-ERK-2 drug candidates.Communicated by Ramaswamy H. Sarma.
  2. Wu PY, Fung AT, Dave VP, Iu LPL, Sjahreza E, Chaikitmongkol V, et al.
    Clin Exp Ophthalmol, 2023 Aug;51(6):585-597.
    PMID: 37170410 DOI: 10.1111/ceo.14236
    BACKGROUND: To assess rhegmatogenous retinal detachment (RRD) surgery trends and training among young ophthalmologists (YOs, vitreoretinal fellows or attendings/consultants with ≤10 years of independent practice) and the impact of the COVID-19 pandemic.

    METHODS: An anonymous online survey was completed by 117 YOs in the Asia-Pacific regarding their RRD surgery experiences in 2021-2022.

    RESULTS: To achieve a 90% probability of surgical competency, 91 vitrectomy and 34 scleral buckling (SB) completions during fellowship were needed. In total, 49 (41.9%) YOs had fellowship affected by COVID-19. In the COVID versus pre-COVID era, however, the volume of SB completions per fellowship year decreased significantly (median [IQR] 3.3 [1.5, 9] vs. 13 [6.5, 23]; p 

    MeSH terms: Asia/epidemiology; Humans; Retrospective Studies; Scleral Buckling/methods; Visual Acuity; Vitrectomy/methods; Treatment Outcome; Pandemics; Ophthalmologists*
  3. Chong JWR, Tang DYY, Leong HY, Khoo KS, Show PL, Chew KW
    Bioengineered, 2023 Dec;14(1):2244232.
    PMID: 37578162 DOI: 10.1080/21655979.2023.2244232
    Fucoxanthin is a carotenoid that possesses various beneficial medicinal properties for human well-being. However, the current extraction technologies and quantification techniques are still lacking in terms of cost validation, high energy consumption, long extraction time, and low yield production. To date, artificial intelligence (AI) models can assist and improvise the bottleneck of fucoxanthin extraction and quantification process by establishing new technologies and processes which involve big data, digitalization, and automation for efficiency fucoxanthin production. This review highlights the application of AI models such as artificial neural network (ANN) and adaptive neuro fuzzy inference system (ANFIS), capable of learning patterns and relationships from large datasets, capturing non-linearity, and predicting optimal conditions that significantly impact the fucoxanthin extraction yield. On top of that, combining metaheuristic algorithm such as genetic algorithm (GA) can further improve the parameter space and discovery of optimal conditions of ANN and ANFIS models, which results in high R2 accuracy ranging from 98.28% to 99.60% after optimization. Besides, AI models such as support vector machine (SVM), convolutional neural networks (CNNs), and ANN have been leveraged for the quantification of fucoxanthin, either computer vision based on color space of images or regression analysis based on statistical data. The findings are reliable when modeling for the concentration of pigments with high R2 accuracy ranging from 66.0% - 99.2%. This review paper has reviewed the feasibility and potential of AI for the extraction and quantification purposes, which can reduce the cost, accelerate the fucoxanthin yields, and development of fucoxanthin-based products.
    MeSH terms: Artificial Intelligence*; Humans; Neural Networks (Computer); Fuzzy Logic; Microalgae*
  4. Abbasi MA, Raza H, Aziz-Ur-Rehman, Siddiqui SZ, Muhammad S, Khan FM, et al.
    Chem Biodivers, 2023 Sep;20(9):e202300257.
    PMID: 37578300 DOI: 10.1002/cbdv.202300257
    In the presented work, a new series of three different 4-((3,5-dichloro-2-[(2/4-halobenzyl)oxy]phenyl)sulfonyl)morpholines was synthesized and the structure of these compounds were corroborated by 1 H-NMR & 13 C-NMR studies. The in vitro results established all the three compounds as potent tyrosinase inhibitors relative to the standard. The Kinetics mechanism plots established that compound 8 inhibited the enzyme non-competitively. The inhibition constants Ki calculated from Dixon plots for this compound was 0.0025 μM. Additionally, computational techniques were used to explore electronic structures of synthesized compounds. Fully optimized geometries were further docked with tyrosinase enzyme for inhibition studies. Reasonably good binding/interaction energies and intermolecular interactions were obtained. Finally, drug likeness was also predicted using the rule of five (RO5) and Chemical absorption, distribution, metabolism, excretion, and toxicity (ADMET) characteristics. It is anticipated that current experimental and computational investigations will evoke the scientific interest of the research community for the above-entitled compounds.
    MeSH terms: Enzyme Inhibitors/pharmacology; Enzyme Inhibitors/chemistry; Kinetics; Morpholines; Structure-Activity Relationship; Monophenol Monooxygenase*; Molecular Structure; Molecular Docking Simulation
  5. Pang LW, Hamzah S, Tan SLJ, Mah SH, Yow HY
    Neurochem Res, 2023 Dec;48(12):3485-3511.
    PMID: 37578655 DOI: 10.1007/s11064-023-04005-8
    Xanthones are natural secondary metabolites that possess great potential as neuroprotective agents due to their prominent biological effects on Alzheimer's disease (AD). However, their underlying mechanisms in AD remain unclear. This study aimed to systematically review the effects and mechanisms of xanthones in cell culture and animal studies, gaining a better understanding of their roles in AD. A comprehensive literature search was conducted in the Medline and Scopus databases using specific keywords to identify relevant articles published up to June 2023. After removing duplicates, all articles were imported into the Rayyan software. The article titles were screened based on predefined inclusion and exclusion criteria. Relevant full-text articles were assessed for biases using the OHAT tool. The results were presented in tables. Xanthones have shown various pharmacological effects towards AD from the 21 preclinical studies included. Cell culture studies demonstrated the anti-cholinesterase activity of xanthones, which protects against the loss of acetylcholine. Xanthones exhibited neuroprotective effects by promoting cell viability, reducing the accumulation of β-amyloid and tau aggregation. The administration of xanthones in animal models resulted in a reduction in neuronal inflammation by decreasing microglial and astrocyte burden. In terms of molecular mechanisms, xanthones prevented neuroinflammation through the modulation of signaling pathways, including TLR4/TAK1/NF-κB and MAPK pathways. Mechanisms such as activation of caspase-3 and -9 and suppression of endoplasmic reticulum stress were also reported. Despite the various neuroprotective effects associated with xanthones, there are limited studies reported on their underlying mechanisms in AD. Further studies are warranted to fully understand their potential roles in AD.
    MeSH terms: Animals; Antioxidants/pharmacology; Amyloid beta-Peptides/metabolism
  6. Tumasyan A, Adam W, Andrejkovic JW, Bergauer T, Chatterjee S, Damanakis K, et al.
    Eur Phys J C Part Fields, 2023;83(8):722.
    PMID: 37578844 DOI: 10.1140/epjc/s10052-023-11833-z
    The production of Z bosons associated with jets is measured in pp collisions at s=13TeV with data recorded with the CMS experiment at the LHC corresponding to an integrated luminosity of 36.3fb-1. The multiplicity of jets with transverse momentum pT>30GeV is measured for different regions of the Z boson's pT(Z), from lower than 10GeV to higher than 100GeV. The azimuthal correlation Δϕ between the Z boson and the leading jet, as well as the correlations between the two leading jets are measured in three regions of pT(Z). The measurements are compared with several predictions at leading and next-to-leading orders, interfaced with parton showers. Predictions based on transverse-momentum dependent parton distributions and corresponding parton showers give a good description of the measurement in the regions where multiple parton interactions and higher jet multiplicities are not important. The effects of multiple parton interactions are shown to be important to correctly describe the measured spectra in the low pT(Z) regions.
  7. Jana S, Do TN, Nowakowski PJ, Khyasudeen MF, Le DV, Lim IJY, et al.
    J Phys Chem B, 2023 Aug 24;127(33):7309-7322.
    PMID: 37579317 DOI: 10.1021/acs.jpcb.3c02521
    In a two-dimensional (2D) optical spectrum of a multilevel system, there are diagonal peaks and off-diagonal cross-peaks that correlate the different levels. The time-dependent properties of these diagonal peaks and cross-peaks contain much information about the dynamics of the multilevel system. The time-dependent diagonal peakshape that depends on the spectral diffusion dynamics of the associated transition and characterized by the frequency-fluctuation correlation function (FFCF) is well studied. However, the time-dependent peakshape of a cross-peak that provides the correlation dynamics between different transitions is much less studied or understood. We derived the third-order nonlinear response functions that describe the cross-peaks in a 2D electronic spectrum of a multilevel system that arise from processes sharing a common ground state and/or from internal conversion and population transfer. We can use the center line slope (CLS) analysis to characterize the cross-peaks in conjunction with the diagonal peaks. This allows us to recover the frequency-fluctuation cross-correlation functions (FXCFs) between two transitions. The FXCF and its subsidiary quantities such as the initial correlation and the initial covariance between different transitions are important for studying the correlation effects between states in complex systems, such as energy-transfer processes. Furthermore, knowledge of how various molecular processes over different timescales affect simultaneously different transitions can also be obtained from the measured FXCF. We validated and tested our derived equations and analysis process by studying, as an example, the 2D electronic spectra of metal-free phthalocyanine in solution. We measured and analyzed the diagonal peaks of the Qx and Qy transitions and the cross-peaks between these two transitions of this multilevel electronic system and obtained the associated FFCFs and FXCFs. In this model system, we measured negative components of FXCF over the tens of picosecond timescale. This suggests that in phthalocyanine, the Qx and Qy transitions coupling with the solvent molecule motion are anticorrelated to each other.
  8. Kc S, Lin LW, Bayani DBS, Zemlyanska Y, Adler A, Ahn J, et al.
    PMID: 37579427 DOI: 10.34172/ijhpm.2023.6858
    BACKGROUND: Globally, there is increasing interest in the use of real-world data (RWD) and real-world evidence (RWE) to inform health technology assessment (HTA) and reimbursement decision-making. Using current practices and case studies shared by eleven health systems in Asia, a non-binding guidance that seeks to align practices for generating and using RWD/RWE for decision-making in Asia was developed by the REAL World Data In ASia for HEalth Technology Assessment in Reimbursement (REALISE) Working Group, addressing a current gap and needs among HTA users and generators.

    METHODS: The guidance document was developed over two face-to-face workshops, in addition to an online survey, a face-to-face interview and pragmatic search of literature. The specific focus was on what, where and how to collect RWD/ RWE.

    RESULTS: All 11 REALISE member jurisdictions participated in the online survey and the first in-person workshop, 10 participated in the second in-person workshop, and 8 participated in the in-depth face-to-face interviews. The guidance document was iteratively reviewed by all working group members and the International Advisory Panel. There was substantial variation in: (a) sources and types of RWD being used in HTA, and (b) the relative importance and prioritization of RWE being used for policy-making. A list of national-level databases and other sources of RWD available in each country was compiled. A list of useful guidance on data collection, quality assurance and study design were also compiled.

    CONCLUSION: The REALISE guidance document serves to align the collection of better quality RWD and generation of reliable RWE to ultimately inform HTA in Asia.

    MeSH terms: Asia; Humans; Policy Making*; Surveys and Questionnaires; Research Design; Technology Assessment, Biomedical*
  9. Thapa R, Afzal O, Gupta G, Bhat AA, Almalki WH, Alzarea SI, et al.
    Pathol Res Pract, 2023 Sep;249:154736.
    PMID: 37579591 DOI: 10.1016/j.prp.2023.154736
    Breast cancer is a complex and diverse condition that disrupts multiple signaling pathways essential for cell proliferation, survival, and differentiation. Recently, the significant involvement of long-chain non-coding RNAs (lncRNAs) in controlling key signaling pathways associated with breast cancer development has been discovered. This review aims to explore the interaction between lncRNAs and various pathways, including the AKT/PI3K/mTOR, Wnt/β-catenin, Notch, DNA damage response, TGF-β, Hedgehog, and NF-κB signaling pathways, to gain a comprehensive understanding of their roles in breast cancer. The AKT/PI3K/mTOR pathway regulates cell growth, survival, and metabolic function. Recent data suggests that specific lncRNAs can influence the functioning of this pathway, acting as either oncogenes or tumor suppressors. Dysregulation of this pathway is commonly observed in breast cancer cases. Moreover, breast cancer development has been associated with other pathways such as Wnt/β-catenin, Notch, TGF-β, Hedgehog, and NF-κB. Emerging studies have identified lncRNAs that modulate breast cancer's growth, progression, and metastasis by interacting with these pathways. To advance the development of innovative diagnostic tools and targeted treatment options, it is crucial to comprehend the intricate relationship between lncRNAs and vital signaling pathways in breast cancer. By fully harnessing the therapeutic potential of lncRNAs, there is a possibility of developing more effective and personalized therapy choices for breast cancer patients. Further investigation is necessary to comprehensively understand the role of lncRNAs within breast cancer signaling pathways and fully exploit their therapeutic potential.
    MeSH terms: Animals; Female; Hedgehogs/genetics; Hedgehogs/metabolism; Humans; Signal Transduction; Gene Expression Regulation, Neoplastic/genetics; Transforming Growth Factor beta/metabolism; NF-kappa B/metabolism; Phosphatidylinositol 3-Kinases/metabolism; Proto-Oncogene Proteins c-akt/metabolism; beta Catenin/metabolism; TOR Serine-Threonine Kinases/metabolism
  10. Xu S, Lan H, Teng Q, Li X, Jin Z, Qu Y, et al.
    Int J Biol Macromol, 2023 Aug 12;251:126286.
    PMID: 37579904 DOI: 10.1016/j.ijbiomac.2023.126286
    H7 avian influenza virus has caused multiple human infections and poses a severe public health threat. In response to the highly variable nature of AIVs, a novel, easily regenerated DNA vaccine has great potential in treating or preventing avian influenza pandemics. Nevertheless, DNA vaccines have many disadvantages, such as weak immunogenicity and poor in vivo delivery. To further characterize and solve these issues and develop a novel H7 AIV DNA vaccine with enhanced stability and immunogenicity, we constructed nine AIV DNA plasmids, and the immunogenicity screened showed that mice immunized with pβH7N2SH9 elicited stronger hemagglutination-inhibiting (HI) antibodies than other eight plasmid DNAs. Then, to address the susceptibility to degradation and low transfection rate of DNA vaccine in vivo, we developed pβH7N2SH9/DGL NPs by encapsulating the pβH7N2SH9 within the dendrigraft poly-l-lysines nanoparticles. As expected, these NPs exhibited excellent physical and chemical properties, were capable of promote lymphocyte proliferation, and induce stronger humoral and cellular responses than the naked pβH7N2SH9, including higher levels of HI antibodies than naked pβH7N2SH9, as well as the production of cytokines, namely, IL-2, IFN-α. Taken together, our results suggest that the construction of an immune-enhanced H7-AIV DNA nanovaccine may be a promising strategy against most influenza viruses.
  11. Mulk WU, Hassan Shah MU, Shah SN, Zhang QJ, Khan AL, Sheikh M, et al.
    Environ Res, 2023 Nov 15;237(Pt 1):116879.
    PMID: 37579965 DOI: 10.1016/j.envres.2023.116879
    The main obstacles in adopting solvent-based CO2 capture technology from power plant flue gases at the industrial scale are the energy requirements for solvent regeneration and their toxicity. These challenges can be overcome using new green and more stable ionic liquids (ILs) as solvents for post-combustion CO2 capture. In the current study, tributyl-tetradecyl-phosphonium chloride [P44414][Cl] as an IL, was immobilized on hydrophobic porous supports of polypropylene (PP), polyvinylidene fluoride (PVDF), and polytetrafluoroethylene (PTFE) at 298 ± 3 K and pressures up to 2 bar. The surface morphology indicated homogenous immobilization of the IL on the membrane support. Supported ionic liquid membranes (SILMs) were tested for CO2 permeability and CO2/N2 selectivity. None of the SILMs exhibited IL leaching up to 2 bar. The PTFE-based SILM performed better than other supports with minimum loss in water contact angle (WCA) and achieved good antiwetting with a maximum CO2 permeability and selectivity over N2 of 2300 ± 139 Barrer and 31.60 ± 2.4, respectively. This work achieves CO2 permeability about two-fold more than other works having CO2/N2 selectivity range of 25-35 in similar SILMs. The diffusivity of CO2 and N2 in [P44414][Cl] was measured as 3.64 ± 0.18 and 2.01 ± 0.09 [10-8 cm2 s-1] and CO2 and N2 solubility values were 9.79 ± 0.47 and 0.19 ± 0.001 [10-2 cm3(STP) cm-3 cmHg-1], respectively. The high values of Young's modulus and tensile strength of the PTFE support-based SILM (234 ± 12 MPa and 6.07 ± 0.31 MPa, respectively) indicated the long-term application of SILM in flue gas separation. The results indicated phosphonium chloride-based ILs could be better solvent candidates for CO2 removal from large volumes of flue gases than amine-based ILs.
  12. Hui GT, Meng TK, Kassim MA
    Bioprocess Biosyst Eng, 2023 Oct;46(10):1499-1512.
    PMID: 37580470 DOI: 10.1007/s00449-023-02917-x
    Conventionally, microalgal lipid extraction uses volatile organic compounds as an extraction solvent. However, these solvents are harmful to human and environmental health. Therefore, this study evaluated the feasibility of alternative green solvents, namely, ethanol, dimethyl carbonate (DMC), cyclopentyl methyl ether (CPME), and 2-methyltetrahydrofuran (2-MeTHF) in lipid extraction from Chlorella sp. via ultrasound-assisted extraction (UAE). This study indicated that extraction parameters, such as ethanol-to-2-MeTHF ratio, solvent-to-biomass ratio, temperature, and time, significantly affected the crude lipid yield (P 
    MeSH terms: Ethanol; Chlorella*; Fatty Acids; Humans; Solvents; Biomass; Microalgae*
  13. Bompart F, Fisher JA, Allen E, Sevene E, Kumar N, Chew CK, et al.
    Nat Med, 2023 Oct;29(10):2393-2394.
    PMID: 37580535 DOI: 10.1038/s41591-023-02490-6
    MeSH terms: Humans; Research Subjects*; Biomedical Research*; Healthy Volunteers
  14. Zhang L, Roslan S, Zaremohzzabieh Z, Liu K, Tang X, Jiang Y, et al.
    BMC Psychiatry, 2023 Aug 14;23(1):588.
    PMID: 37580685 DOI: 10.1186/s12888-023-05102-2
    Adjustment difficulties of school students are common and their school adjustment has gained wide concern in recent years. Negative life events (NLEs) hope, and gratitude have been associated with school adjustment. However, the potential effect of NLEs on hope and gratitude and whether hope and gratitude mediate the association between NLEs and school adjustment among high students have not been studied. Thus, this study aims to investigate the association between NLEs, hope and gratitude, and school adjustment in high school students in China. Additionally, the study aims to examine the mediating role of hope and gratitude in the association between NLEs and school adjustment. A total of 700 junior high school students in Guangxi Province (336 boys, 364 girls, M age = 15 years) completed the questionnaire. The results indicated significant mediating effects of hope and gratitude in the sequential positive association between NLEs and school adjustment. Furthermore, this study unraveled the complexity of the link between NLEs and school adjustment with the combination of hope and gratitude. The findings emphasized the importance of fostering hope and gratitude in left-behind adolescents to combat the negative consequences of NLEs. The study is also one of the first to investigate a serial mediation model to determine which NLEs influence Chinese left-behind adolescents' school adjustment.
    MeSH terms: Adaptation, Psychological*; Adolescent; China; Female; Humans; Male; Surveys and Questionnaires; Rural Population*; Students
  15. Patel N, B Urolagin S, Haq MA, Patel C, Bhatt R, Girdhar G, et al.
    Cureus, 2023 Aug;15(8):e43405.
    PMID: 37581201 DOI: 10.7759/cureus.43405
    Introduction A common dental problem is the fear of pain during needle prick for giving local anesthesia (LA). The needle prick pain during dental procedures often varies with sex and age. Perception of pain depends on various factors, which can be psychological and biological. This perception of pain may change the behavior of patients toward dental treatments. Traditionally, lidocaine gel formulation was utilized before the parenteral dosage form. The lidocaine gel formulation is considered the drug of choice for LA in dental surgery. Currently, amitriptyline has been utilized in dental practice because of its beneficial pharmacology. Hence, the present study has been undertaken to compare the anesthetic ability of amitriptyline as an intraoral topical anesthetic agent with lidocaine gel. Methods This study was a comparative clinical study between two medications' anesthetic properties. This study included 120 patients indicated for bilateral orthodontics (the subdivision of dentistry that emphasizes identifying necessary interventions for the malocclusion of teeth) procedures. All the subjects were divided into amitriptyline and lidocaine groups. Both anesthetic gels were applied at separate sites before the injection of LA. The time of the onset of anesthesia was noted and analyzed. Patients were selected on the basis of inclusion and exclusion criteria. Individuals aged 18 to 30 years who were systemically healthy and orthodontically indicated for bilateral premolar extraction were included in this study. Again, patients with a history of neurological disorders and allergies to amitriptyline and lidocaine were excluded from the current study. Results Significant differences emerged between groups at five and 10 minutes, with amitriptyline-induced partial numbness (36.7% and 6.7%). At 40 and 45 minutes, both groups showed varied partial and complete numbness, with amitriptyline leading to partial recovery (23.3% and 73.3% complete numbness, 23.3% partial recovery) and lidocaine resulting in partial recovery (81.7%). When comparing the visual analog scale (VAS) scores, both groups exhibited a similar simultaneous effect at 15 minutes. Nonetheless, amitriptyline displayed significantly lower scores at 25 and 35 minutes (p < 0.001) in comparison to lidocaine. Similar observations were made when controlling for pain intensity. Conclusion It was concluded that amitriptyline holds both anesthetic and analgesic properties. Nevertheless, this study was unable to generalize the study findings because of the small sample size and being a single-center study. However, the VAS scores of anesthetic and analgesic pharmacodynamics properties of amitriptyline were statistically significantly lower than lidocaine, particularly at 25 and 35 minutes. Additionally, amitriptyline-induced anesthetic and analgesic pharmacology, especially pharmacokinetics properties, depends on the location and pattern of pain.
  16. Jumaidin R, Whang LY, Ilyas RA, Hazrati KZ, Hafila KZ, Jamal T, et al.
    Int J Biol Macromol, 2023 Oct 01;250:126295.
    PMID: 37573912 DOI: 10.1016/j.ijbiomac.2023.126295
    This study is focused on developing and enhancing the properties of durian peel fiber (DPF) reinforced thermoplastic cassava starch (TPCS) composites. The proposed DPF was extracted from agro-waste and incorporated into TPCS with various contents of DPF (10, 20, 30, 40, and 50 wt%) via compression molding. The mechanical and thermal characteristics of the fabricated composites were studied. The thermal properties of the biocomposite were improved with the addition of DPF, as evidenced by an increase in the material's thermal stability and indicated by a higher onset decomposition temperature. The integration of DPF into TPCS improved the biodegradation rate process of the composites. Besides, the results indicated that incorporating DPF in TPCS composites enhanced tensile and flexural properties, with a 40 wt% DPF content exhibited the highest modulus and strength. The tensile and flexural strengths of TPCS/DPF composites were raised significantly from 2.96 to 21.89 MPa and 2.5 to 35.0 MPa, respectively, compared to the control TPCS sample, as DPF increased from 0 to 40 wt%. This finding was consistent with Fourier-Transform Infrared (FT-IR) spectroscopy and scanning electron micrograph (SEM), which showed good interaction between DPF and TPCS matrix. The analysis revealed that DPF at a 40 wt% ratio was the best composition compared to the other ratio. Finally, based on improved results, DPF was identified as a potential resource of green reinforcement for the biodegradable TPCS matrix.
  17. Sharafaldin ENK, Huri HZ, Sim MS, Lim SK
    Autoimmun Rev, 2023 Dec;22(12):103406.
    PMID: 37574180 DOI: 10.1016/j.autrev.2023.103406
    MeSH terms: Genetic Markers; Humans; Virulence
  18. Zaini NSM, Mansor N, Yusoff MM, Rahim MHA
    J Oleo Sci, 2023 Aug 31;72(9):811-818.
    PMID: 37574285 DOI: 10.5650/jos.ess23036
    This study highlights the use of red palm oil (RPO) as an alternative to dairy fat in a hard ice cream sample in the presence of different stabilizers; maltodextrin (MALTOD) and modified starch (MSTARCH). No stabilizer was added in the control sample (CO), while the different ratios of RPO to each stabilizer were 4:1, 3:2, and 2:3, coded as MALTOD1, MALTOD2, MALTOD3 for maltodextrin, and MSTARCH1, MSTARCH2, and MSTARCH3 for modified starch, respectively. These samples were compared regarding overrun, physical, and sensory properties. For MALTOD, sample MALTOD3 had the highest overrun (49.31±13.78%), while MALTOD2 had the highest viscosity (7.90±0.03 Pa.s) and hardness (1.09±0.07 kg), and MALTOD1 had the lowest melting properties (61.10±0.20%). For MSTARCH, sample MSTARCH1 had the highest hardness (3.39±0.07 kg), MSTARCH2 had the highest overrun (67.64±2.27%), and MSTARCH3 had the highest viscosity (8.19±0.24 Pa.s) and the lowest melting properties (39.83±0.20%). Samples MALTOD3 and MSTARCH1 were selected for comparison with commercial samples in terms of sensory acceptance and preference. There was no significant difference (p > 0.05) between the sensory acceptability of MALTOD3 and MSTARCH1. However, both samples received a significantly lower (p < 0.05) ranking than the commercial samples in terms of appearance, texture, flavour, meltability, and overall acceptance. Future studies are recommended to improve the RPO-based ice cream sample, particularly in terms of its sensory properties.
    MeSH terms: Ice Cream*; Polysaccharides; Starch*
  19. Christopher CM, Blebil AQ, Bhuvan KC, Alex D, Mohamed Ibrahim MI, Ismail N, et al.
    Res Social Adm Pharm, 2023 Dec;19(12):1520-1530.
    PMID: 37574369 DOI: 10.1016/j.sapharm.2023.08.001
    BACKGROUND: As the largest demographic group utilizing primary healthcare facilities, older adults often face the challenge of managing multiple chronic illnesses, leading to numerous medications.

    OBJECTIVE: The present study aims to assess medication use problems among older adults and explore the factors affecting them in primary healthcare settings.

    METHODS: A mixed-method study was conducted to establish a baseline understanding of the perspectives and challenges faced by older adults, with regards to medication use. Translated Medication Use Questionnaire (MedUseQ), a patient-centered tool, was distributed to older adults above 60 in primary healthcare settings to assess their frequency of problems related to medication use. Fifteen semi-structured interviews were conducted to explore this topic in depth. Descriptive and inferential analyses were conducted with quantitative data. Interviews were transcribed verbatim, and thematic analysis was conducted. Quantitative and qualitative findings data were triangulated.

    RESULTS: The study involved 393 participants. The most common problems with regards to medication use were polypharmacy (55.4%), administration difficulties (48.4%), limited awareness about adverse drug events (47.3%), issues with adherence (46.5%), and accessibility to primary healthcare (42.7%). Approximately 55% were satisfied with the older adult-centered medication use services by pharmacist and doctors. The qualitative findings showed that major factors affecting medication use were forgetfulness, language barriers, lack of awareness, transportation problems, long waiting times, and multiple visits to healthcare facilities.

    CONCLUSION: The findings of this study reveal that a significant proportion, around 50%, of the older adult population face challenges with medication use in Penang. These difficulties mainly stem from medication administration, adherence, accessibility, polypharmacy, and inadequate medication knowledge. The qualitative analysis further highlighted several factors that contribute to such medication-related problems. Given the rapidly aging Association of Southeast Asian Nations (ASEAN) population, it is essential to devise effective solutions and strategies to tackle medication use-related issues among older adults.

  20. Lin GSS, Tan WW, Foong CC
    BMC Oral Health, 2023 Aug 13;23(1):571.
    PMID: 37574553 DOI: 10.1186/s12903-023-03293-4
    BACKGROUND: Effective teaching of dental materials science is crucial for dental students to develop a comprehensive understanding of materials used in clinical practice. However, literature on educators' views on teaching this subject is still scarce. This qualitative study aimed to explore the lived experiences of dental educators in teaching dental materials science subjects, thereby addressing potential gaps and enhancing teaching practices.

    METHODS: Thirteen dental educators from East and Southeast Asian countries (Malaysia, China, Indonesia, Thailand, South Korea, and Japan) participated in the present study. The present study adopted a transcendental phenomenological approach. One-to-one semi-structured online interviews were conducted. Interviews were recorded and transcribed verbatim. Thematic analysis was employed to identify patterns in the educators' experiences.

    RESULTS: Three themes emerged from the present study. First, perceptions of the importance of dental materials science, highlighting its relevance in clinical practice, patient care, and lifelong learning. Second, the challenges faced in teaching dental materials science include limited instructional time, complex content, and insufficient resources. Third, specific strategies, such as applying interactive teaching methods, integrating clinical scenarios, and promoting critical thinking skills have been suggested to enhance teaching and learning.

    CONCLUSION: Understanding dental educators' experiences can improve dental materials science education, curriculum development, teaching methods, and faculty training programmes, ultimately enhancing the knowledge and skills of dental students in this field.

    MeSH terms: Asia, Southeastern; Curriculum*; Faculty; Far East; Humans; Learning; Teaching
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