Browse publications by year: 2023

  1. Chew SK, Teoh WH, Hong SL, Yusoff R
    Heliyon, 2023 Oct;9(10):e20260.
    PMID: 37810831 DOI: 10.1016/j.heliyon.2023.e20260
    Green extractive methods accompanied by resource conservation through process optimization are important in working towards sustainable processes. In the present paper, rutin was extracted from the leaf of female Carica papaya Linn using microwave-assisted extraction (MAE), ultrasound-assisted extraction (UAE), sequential microwave ultrasound-assisted extraction (MUAE), and sequential ultrasound microwave-assisted extraction (UMAE) methods. Subsequently, the effect of extraction parameters on rutin yield were analyzed and compared. In addition, the extraction efficiency and energy consumption of the extraction processes were measured and discussed. In the present study, solid-liquid (S/L) ratio was determined to be the most significant extraction variable. Under optimized conditions, MUAE and UMAE were determined to yield the highest amount of rutin extracted at 18.46 ± 0.64 mg/g and 18.43 ± 0.81 mg/g, respectively. However, MUAE was determined to be the least resource efficient method as it consumed the highest amount of energy due to its relatively long extraction time. UAE was determined to be the most efficient in resource utilization as it required the least amount of energy for every mg/g of yield extracted, while the yield obtained was, nonetheless, comparatively high. The optimal condition obtained for UAE was 20 min of ultrasonic extraction time (TU), 20 % of ethanol mixture concentration (C), 710 μm of particle size (S), and 1:650 wt/wt of solid-liquid (S/L) ratio (R).
  2. Zhang B, Cheng P, Deng L, Romainoor NH, Han J, Luo G, et al.
    Heliyon, 2023 Oct;9(10):e20477.
    PMID: 37810838 DOI: 10.1016/j.heliyon.2023.e20477
    The transformation of social development modes has led to profound changes in the pattern of intangible cultural heritage, while simultaneously posing significant challenges to its preservation. The rapid development of artificial intelligence (AI) technology has brought new development opportunities in various research fields. This study intends, by constructing and evaluating a theoretical model, to investigate whether AI-generated cultural and creative products can promote the sustainability of intangible cultural heritage. The central focus of this research is to measure the effectiveness of AI technologies in promoting the sustainability of intangible cultural heritage. The context of the research design is rooted in the attention, interest, search, action, and share (AISAS) model, incorporating theories of perceived value and cultural identity, to forecast the long-term viability of AI-generated cultural and creative products in the promotion of intangible cultural heritage. This research was conducted in Tianjin, China and carried out using quantitative methods, a questionnaire survey, and the accidental sampling method, taking a sample of 291 participants for analysis. The results show that 1) the attraction of and interest and participation in AI-generated Yangliuqing New Year Print cultural and creative products have a positive effect on perceived value; 2) the purchase and sharing of these products have a positive impact on cultural identity; 3) the perceived value has a positive impact on cultural identity; and 4) cultural identity has a positive impact on the sustainability of intangible cultural heritage. This study contributes to the theoretical development and practical application of the AISAS model and offers valuable insights into the future development trajectory of intangible cultural heritage, thereby promoting its sustainability. The limitations of this study are its small sample size and geographical restrictions. In future studies, the sample size will be expanded and will include more regions for data analysis.
  3. Bathmanathan V, Rajadurai J, Alahakone R
    Heliyon, 2023 Oct;9(10):e20327.
    PMID: 37810851 DOI: 10.1016/j.heliyon.2023.e20327
    Food waste (FW) is not just a problem and challenge in Malaysia but world wide. According to a United Nation Environment Program report, approximately 931 million tonnes of food waste was produced globally in 2019. This included 61% from households, 26% from food services and the remaining 13%, from retail. The sheer magnitude of this wastage is very troubling; especially in the fact that there is no firm hope that the scale of the wastage will decrease in the near future. Most studies into food wastage have investigated the broader field of food industries such as food manufacturers, restaurants, food courts and others. This study, however, aimed to investigate FW among end-users who are students in a school, with data being collected from the school canteen. It investigated the amount of food waste before and after awareness of food waste in Malaysia was raised, and how the waste can be converted into cash. The study had four phases: 1) an awareness program for school students, 2) installation of the FW machine, 3) collection of food waste, and finally 4) data analysis. The food waste was collected, transformed into bio-fertilisers and sold to the parents. A total of 339.5 kg of food waste was collected in 38 days and this waste was transformed into 131.5 kg of bio-fertilisers for sale to parents in the same school. This simple FW conversion to bio-fertilisers undertaken in the school as a pilot project shed some light on the potential of the project to be carried out on a larger scale and with commercial interests for all schools in Malaysia. The school generated RM 1315 from the sale of the bio-fertilisers. The potential profits achievable from this conversion of FW to bio-fertilisers will be significant if the pilot study is expanded throughout Malaysia.
  4. Mujafarkani N, Ahamed FMM, Babu KS, Debnath S, Sayed AA, Albadrani GM, et al.
    Heliyon, 2023 Oct;9(10):e20459.
    PMID: 37810859 DOI: 10.1016/j.heliyon.2023.e20459
    In an innovative approach to push the boundaries of antimicrobial and antioxidant strategies, we present the synthesis and characterization of a novel terpolymer derived from N-Phenyl-p-phenylenediamine and 2-aminopyrimidine with formaldehyde in the presence of dimethylformamide as a reaction medium through polycondensation technique. Leveraging this terpolymer as a ligand, we introduce an intriguing terpolymer-metal complex, created with Ni (II) metal ion. In our pursuit to validate the structure and properties of these substances, we performed meticulous characterizations using important spectral studies such as FTIR, electronic, and 1H NMR spectroscopy. This provided us with a unique fingerprint for the (N-Phenyl-p-phenylenediamine-2-aminopyrimidine-formaldehyde) terpolymeric ligand (PAF) and its metal complex. In addition, the molecular weights of PAF terpolymer were established using gel permeation chromatography. Upon investigation, PAF terpolymer and PAF-Ni complex exhibited impressive antimicrobial activity, tested by the disc-diffusion technique. Both demonstrated potency against a range of harmful bacterial and fungal strains, including Staphylococcus aureus, Escherichia coli, Candida albicans, and Aspergillus niger. In an extension to their biological applications, we evaluated the free radical scavenging activity of PAF terpolymer and PAF-Ni complex using the DPPH assay. The complex PAF-Ni showcased an enhanced scavenging activity 73.94% (IC50 = 17.58) compared to the ligand PAF 63.06% (IC50 = 27.61) at 100 μg/ml indicating its potential role in oxidative stress management.
  5. Al Jarallah M, Refat H, Loricchio ML, Dashti R, Brady PA, Rajan R, et al.
    Ann Med Surg (Lond), 2023 Oct;85(10):5035-5038.
    PMID: 37811015 DOI: 10.1097/MS9.0000000000000933
    We report a rare case of arrhythmogenic right ventricular cardiomyopathy (ARVC). Middle-aged Kuwaiti gentleman presented to a polyclinic with complaints of dizziness and palpitation. Electrocardiogram (ECG) at the polyclinic showed polymorphic ventricular tachycardia, and hence he was referred to our center. ECG at the emergency room showed a Brugada pattern with epsilon waves. Echo showed right ventricular dysfunction with pulmonary arterial hypertension. Magnetic resonance imaging showed evidence of ARVC. He was referred to the electrophysiology team and implanted an implantable cardioverter-defibrillator electively.
  6. Yap CH, Ramle AQ, Lim SK, Rames A, Tay ST, Chin SP, et al.
    Bioorg Med Chem, 2023 Nov 15;95:117485.
    PMID: 37812886 DOI: 10.1016/j.bmc.2023.117485
    Staphylococcus aureus is a highly adaptable opportunistic pathogen that can form biofilms and generate persister cells, leading to life-threatening infections that are difficult to treat with antibiotics alone. Therefore, there is a need for an effective S. aureus biofilm inhibitor to combat this public health threat. In this study, a small library of indolenine-substituted pyrazoles and pyrimido[1,2-b]indazole derivatives were synthesised, of which the hit compound exhibited promising antibiofilm activities against methicillin-susceptible S. aureus (MSSA ATCC 29213) and methicillin-resistant S. aureus (MRSA ATCC 33591) at concentrations significantly lower than the planktonic growth inhibition. The hit compound could prevent biofilm formation and eradicate mature biofilms of MSSA and MRSA, with a minimum biofilm inhibitory concentration (MBIC50) value as low as 1.56 µg/mL and a minimum biofilm eradication concentration (MBEC50) value as low as 6.25 µg/mL. The minimum inhibitory concentration (MIC) values of the hit compound against MSSA and MRSA were 50 µg/mL and 25 µg/mL, respectively, while the minimum bactericidal concentration (MBC) values against MSSA and MRSA were > 100 µg/mL. Preliminary structure-activity relationship analysis reveals that the fused benzene ring and COOH group of the hit compound are crucial for the antibiofilm activity. Additionally, the compound was not cytotoxic to human alveolar A549 cells, thus highlighting its potential as a suitable candidate for further development as a S. aureus biofilm inhibitor.
    MeSH terms: Anti-Bacterial Agents/pharmacology; Humans; Indazoles/pharmacology; Microbial Sensitivity Tests; Pyrazoles/pharmacology; Staphylococcal Infections*; Staphylococcus aureus; Biofilms; Methicillin-Resistant Staphylococcus aureus*
  7. Koosha N, Mosavi V, Kheirollah J, Najafi N, Abdi N, Alizadeh A, et al.
    J Therm Biol, 2023 Oct;117:103718.
    PMID: 37812951 DOI: 10.1016/j.jtherbio.2023.103718
    The study of blood flow in obstructed arteries is a significant focus in computational fluid dynamics, particularly in the field of biomedicine. The primary objective of this research is to investigate the impact of pulsating blood velocity on heat transfer within biological systems, with a specific focus on blood flow in obstructed arteries. To achieve this goal, a comprehensive 3D model representing a straight, constricted blood vessel has been developed. This model incorporates periodic, unsteady, Newtonian blood flow along with the presence of gold and silver nanoparticles. Leveraging the Finite Element Method (FEM), the Navier-Stokes and energy equations have been rigorously solved. Through the investigation, it is aim to shed light on how alterations in the pulsation rate and the volume fraction of nanoparticles influence both temperature distribution and velocity profiles within the system. The present study findings unequivocally highlight that the behavior of pulsatile nanofluid flow significantly impacts the velocity field and heat transfer performance. However, it is imperative to note that the extent of this influence varies depending on the specific volume fractions involved. Specifically, higher volume fractions of nanofluids correlate with elevated velocities at the center of the vessel and decreased velocities near the vessel walls. This pattern also extends to the temperature distribution and heat flux within the vessel, further underscoring the paramount importance of pulsatile flow dynamics in biomedicine and computational fluid dynamics research. Besides, results revealed that the presence of occlusion significantly affects the heat transfer and fluid flow.
    MeSH terms: Arteries/physiology; Blood Flow Velocity/physiology; Gold; Hot Temperature*; Silver; Metal Nanoparticles*
  8. Liew WC, Muhamad II, Chew JW, Karim KJA
    Int J Biol Macromol, 2023 Dec 31;253(Pt 6):127288.
    PMID: 37813215 DOI: 10.1016/j.ijbiomac.2023.127288
    Incorporating two different nanoparticles in nanocomposite films is promising as their synergistic effects could significantly enhance polymer performance. Our previous work conferred the remarkable antimicrobial (AM) properties of the polylactic acid (PLA)-based film using optimal formulations of synergistic graphene oxide (GO)/zinc oxide (ZnO) nanocomposites. This study further explores the release profile of GO/ZnO nanocomposite and their impact on the antimicrobial properties. A fixed 1.11 wt% GO and different ZnO concentrations were well dispersed in the PLA matrix. Increasing ZnO concentrations tended to increase agglomeration, as evident in rougher surfaces. Agglomeration inhibited water penetration, leading to a significant reduction in water permeability (46.3 %), moisture content (31.6 %) but an improvement in Young's Modulus (52.6 %). The overall and specific migration of GO/ZnO nanocomposites was found to be within acceptable limits. It is inferred that the release of Zn2+ ions followed pseudo-Fickian behavior with an initial burst effect. AM film with the highest concentration of ZnO (1.25 wt%) exhibited the highest inhibition rate against Escherichia coli (68.0 %), Bacillus cereus (66.5 %), Saccharomyces cerevisiae (70.9 %). Results suggest that GO/ZnO nanocomposites with optimal ZnO concentrations have the potential to serve as promising antimicrobial food packaging materials, offering enhanced barrier, antimicrobial properties and a controlled release system.
    MeSH terms: Anti-Bacterial Agents/pharmacology; Polyesters/pharmacology; Water; Food Packaging/methods; Nanocomposites*
  9. Ahda M, Jaswir I, Khatib A, Ahmed QU, Mahfudh N, Ardini YD, et al.
    Sci Rep, 2023 Oct 09;13(1):17012.
    PMID: 37813908 DOI: 10.1038/s41598-023-43251-2
    Ocimum aristatum, commonly known as O. stamineus, has been widely studied for its potential as an herbal medicine candidate. This research aims to compare the efficacy of water and 100% ethanolic extracts of O. stamineus as α-glucosidase inhibitors and antioxidants, as well as toxicity against zebrafish embryos. Based on the study findings, water extract of O. stamineus leaves exhibited superior inhibition activity against α-glucosidase, ABTS, and DPPH, with IC50 values of approximately 43.623 ± 0.039 µg/mL, 27.556 ± 0.125 µg/mL, and 95.047 ± 1.587 µg/mL, respectively. The major active compounds identified in the extract include fatty acid groups and their derivates such as linoleic acid, α-eleostearic acid, stearic acid, oleanolic acid, and corchorifatty acid F. Phenolic groups such as caffeic acid, rosmarinic acid, 3,4-Dihydroxybenzaldehyde, norfenefrine, caftaric acid, and 2-hydroxyphenylalanine and flavonoids and their derivates including 5,7-Dihydroxychromone, 5,7-Dihydroxy-2,6-dimethyl-4H-chromen-4-one, eupatorin, and others were also identified in the extract. Carboxylic acid groups and triterpenoids such as azelaic acid and asiatic acid were also present. This study found that the water extract of O. stamineus is non-toxic to zebrafish embryos and does not affect the development of zebrafish larvae at concentrations lower than 500 µg/mL. These findings highlight the potential of the water extract of O. stamineus as a valuable herbal medicine candidate, particularly for its potent α-glucosidase inhibition and antioxidant properties, and affirm its safety in zebrafish embryos at tested concentrations.
    MeSH terms: alpha-Glucosidases; Animals; Antioxidants/chemistry; Plant Extracts/analysis; Plant Extracts/toxicity; Water; Zebrafish; Phytochemicals/toxicity
  10. Pathan RK, Biswas M, Yasmin S, Khandaker MU, Salman M, Youssef AAF
    Sci Rep, 2023 Oct 09;13(1):16975.
    PMID: 37813932 DOI: 10.1038/s41598-023-43852-x
    Sign Language Recognition is a breakthrough for communication among deaf-mute society and has been a critical research topic for years. Although some of the previous studies have successfully recognized sign language, it requires many costly instruments including sensors, devices, and high-end processing power. However, such drawbacks can be easily overcome by employing artificial intelligence-based techniques. Since, in this modern era of advanced mobile technology, using a camera to take video or images is much easier, this study demonstrates a cost-effective technique to detect American Sign Language (ASL) using an image dataset. Here, "Finger Spelling, A" dataset has been used, with 24 letters (except j and z as they contain motion). The main reason for using this dataset is that these images have a complex background with different environments and scene colors. Two layers of image processing have been used: in the first layer, images are processed as a whole for training, and in the second layer, the hand landmarks are extracted. A multi-headed convolutional neural network (CNN) model has been proposed and tested with 30% of the dataset to train these two layers. To avoid the overfitting problem, data augmentation and dynamic learning rate reduction have been used. With the proposed model, 98.981% test accuracy has been achieved. It is expected that this study may help to develop an efficient human-machine communication system for a deaf-mute society.
    MeSH terms: Artificial Intelligence*; Hand; Humans; Image Processing, Computer-Assisted/methods; Sign Language*; Neural Networks (Computer)
  11. Yadav DP, Kumar D, Jalal AS, Kumar A, Singh KU, Shah MA
    Sci Rep, 2023 Oct 09;13(1):16988.
    PMID: 37813973 DOI: 10.1038/s41598-023-44210-7
    Leukemia is a cancer of white blood cells characterized by immature lymphocytes. Due to blood cancer, many people die every year. Hence, the early detection of these blast cells is necessary for avoiding blood cancer. A novel deep convolutional neural network (CNN) 3SNet that has depth-wise convolution blocks to reduce the computation costs has been developed to aid the diagnosis of leukemia cells. The proposed method includes three inputs to the deep CNN model. These inputs are grayscale and their corresponding histogram of gradient (HOG) and local binary pattern (LBP) images. The HOG image finds the local shape, and the LBP image describes the leukaemia cell's texture pattern. The suggested model was trained and tested with images from the AML-Cytomorphology_LMU dataset. The mean average precision (MAP) for the cell with less than 100 images in the dataset was 84%, whereas for cells with more than 100 images in the dataset was 93.83%. In addition, the ROC curve area for these cells is more than 98%. This confirmed proposed model could be an adjunct tool to provide a second opinion to a doctor.
    MeSH terms: Humans; ROC Curve; Neural Networks (Computer)
  12. Sahari NS, Shahir S, Ibrahim Z, Hasmoni SH, Altowayti WAH
    Environ Sci Pollut Res Int, 2023 Nov;30(51):110069-110078.
    PMID: 37814051 DOI: 10.1007/s11356-023-30067-w
    This review discusses the application of bacterial nanocellulose (BNC) and modified BNC in treating wastewater containing heavy metals and dye contaminants. It also highlights the challenges and future perspectives of BNC and its composites. Untreated industrial effluents containing toxic heavy metals are systematically discharged into public waters. In particular, lead (Pb), copper (Cu), cadmium (Cd), nickel (Ni), zinc (Zn), and arsenic (As) are very harmful to human health and, in some cases, may lead to death. Several methods such as chemical precipitation, ion exchange, membrane filtration, coagulation, and Fenton oxidation are used to remove these heavy metals from the environment. However, these methods involve the use of numerous chemicals whilst producing high amount of toxic sludge. Meanwhile, the development of the adsorption-based technique has provided an alternative way of treating wastewater using BNC. Bacterial nanocellulose requires less energy for purification and has higher purity than plant cellulose. In general, the optimum growth parameters are crucial in BNC production. Even though native BNC can be used for the removal of heavy metals and dyes, the incorporation of other materials, such as polyethyleneimine, graphene oxide, calcium carbonate and polydopamine can improve sorption efficiencies.
    MeSH terms: Adsorption; Cadmium; Copper; Humans; Zinc; Waste Water*
  13. Pramasivan S, Ngui R, Jeyaprakasam NK, Low VL, Liew JWK, Vythilingam I
    Parasit Vectors, 2023 Oct 09;16(1):355.
    PMID: 37814287 DOI: 10.1186/s13071-023-05984-x
    BACKGROUND: Malaria parasites such as Plasmodium knowlesi, P. inui, and P. cynomolgi are spread from macaques to humans through the Leucosphyrus Group of Anopheles mosquitoes. It is crucial to know the distribution of these vectors to implement effective control measures for malaria elimination. Plasmodium knowlesi is the most predominant zoonotic malaria parasite infecting humans in Malaysia.

    METHODS: Vector data from various sources were used to create distribution maps from 1957 to 2021. A predictive statistical model utilizing logistic regression was developed using significant environmental factors. Interpolation maps were created using the inverse distance weighted (IDW) method and overlaid with the corresponding environmental variables.

    RESULTS: Based on the IDW analysis, high vector abundances were found in the southwestern part of Sarawak, the northern region of Pahang and the northwestern part of Sabah. However, most parts of Johor, Sabah, Perlis, Penang, Kelantan and Terengganu had low vector abundance. The accuracy test indicated that the model predicted sampling and non-sampling areas with 75.3% overall accuracy. The selected environmental variables were entered into the regression model based on their significant values. In addition to the presence of water bodies, elevation, temperature, forest loss and forest cover were included in the final model since these were significantly correlated. Anopheles mosquitoes were mainly distributed in Peninsular Malaysia (Titiwangsa range, central and northern parts), Sabah (Kudat, West Coast, Interior and Tawau division) and Sarawak (Kapit, Miri, and Limbang). The predicted Anopheles mosquito density was lower in the southern part of Peninsular Malaysia, the Sandakan Division of Sabah and the western region of Sarawak.

    CONCLUSION: The study offers insight into the distribution of the Leucosphyrus Group of Anopheles mosquitoes in Malaysia. Additionally, the accompanying predictive vector map correlates well with cases of P. knowlesi malaria. This research is crucial in informing and supporting future efforts by healthcare professionals to develop effective malaria control interventions.

    MeSH terms: Animals; Humans; Macaca; Malaysia/epidemiology; Plasmodium knowlesi*; Spatial Analysis; Mosquito Vectors/parasitology
  14. Loh ZC, Hussain R, Ong SC, Saini B, Muneswarao J, Ur-Rehman A, et al.
    J Pharm Policy Pract, 2023 Oct 09;16(1):119.
    PMID: 37814312 DOI: 10.1186/s40545-023-00627-z
    BACKGROUND: The widespread use of short-acting beta-2 agonists (SABA) as an as-needed treatment for asthma is well-established. However, excessive use of SABA has been linked to undesirable outcomes such as increased risk of asthma attacks, exacerbations, and even death. The availability of SABA as an over-the-counter (OTC) medication has contributed to their overuse, leading to undertreated asthma and reduced access to asthma education.

    OBJECTIVE: This systematic review aimed to summarize the prevalence, characteristic features of, and factors contributing to over-the-counter SABA purchase or overuse.

    METHODS: The databases searched included PubMed, Scopus, Springer Link, Google Scholar, CINAHL, and APA PsycArticles. Original research articles reporting the prevalence, characteristics features, and factors regarding over-the-counter SABA use, available as full text, published in English language between the year 2000 and April 2023 were included in this review. Commentaries, letters to editor, review articles, qualitative studies, clinical trials, and conference proceedings were excluded. Data extraction was followed by a review of the quality of studies included and data were then synthesized for meaningful findings. This systematic review had been registered in the PROSPERO with registration number CRD42023421007.

    RESULTS: A total of 18 articles were included. The prevalence range of OTC SABA users in populations were 1.4% to 39.6% and SABA over-users among OTC users were 14% to 66.4%. Factors mostly associated with this behavior were moderate-severe asthma, and less use of preventers. On top of that, not understanding the risk of SABA overuse was clear in many studies that explored this factor.

    CONCLUSION: Over-the-counter purchase and overuse of SABA medication is a common problem, leading to adverse consequences such as uncontrolled asthma and increased healthcare utilization. Addressing these issues requires improved patient education about their conditions and adequate information regarding the potential long-term effects of SABA use by the healthcare providers. Management and education of asthma patients, including regular monitoring and follow-up, can help reduce overuse of SABA medication and prevent negative consequences.

  15. Hussain R, Babar ZU
    J Pharm Policy Pract, 2023 Oct 09;16(1):118.
    PMID: 37814349 DOI: 10.1186/s40545-023-00626-0
    Community pharmacists form a vital part of the health system all around the globe. Pharmacy remuneration models are aimed to ensure that pharmacies are sustained, and pharmacists could provide cost-effective services to the patients. This review summarizes the pharmacy services remuneration systems from different parts of the globe. Some countries have well-established reimbursement systems that recognize and compensate community pharmacies for their services, others are in the process of expanding the scope of reimbursable services. It further concludes by highlighting the ongoing efforts to incorporate pharmacist-provided services into reimbursement schemes and the need for standardized and consistent approaches to pharmacy remuneration globally.
  16. Masnoon J, Ishaque A, Khan I, Salim A, Kabir N
    Cell Biochem Funct, 2023 Oct;41(7):833-844.
    PMID: 37814478 DOI: 10.1002/cbf.3833
    Diabetes is one of the major health issues globally. Type 1 diabetes mellitus develops due to the destruction of pancreatic β cells. Mesenchymal stem cells (MSCs) having remarkable self-renewal and differentiation potential, can regenerate β cells. MSCs preconditioned with bioactive small molecules possess enhanced biological features and therapeutic potential under in vivo environment. Interestingly, compounds of naphthoquinone class possess antidiabetic and anti-inflammatory properties, and can be explored as potential candidates for preconditioning MSCs. This study analyzed the effect of lawsone-preconditioned human umbilical cord MSCs (hUMSCs) on the regeneration of β cells in the streptozotocin (STZ)-induced Type 1 diabetes (T1D) rats. hUMSCs were isolated and characterized for the presence of surface markers. MSCs were preconditioned with optimized concentration of lawsone. T1D rat model was established by injecting 50 mg/kg of STZ intraperitoneally. Untreated and lawsone-preconditioned hUMSCs were transplanted into the diabetic rats via tail vein. Fasting blood sugar and body weight were monitored regularly for 4 weeks. Pancreas was harvested and β cell regeneration was evaluated by hematoxylin and eosin staining, and gene expression analysis. Immunohistochemistry was also done to assess the insulin expression. Lawsone-preconditioned hUMSCs showed better anti-hyperglycemic effect in comparison with untreated hUMSCs. Histological analysis presented the regeneration of islets of Langerhans with upregulated expression of βcell genes and reduced expression of inflammatory markers. Immunohistochemistry revealed strong insulin expression in the preconditioned hUMSCs compared with the untreated hUMSCs. It is concluded from the present study that lawsone-preconditioned hMSCs were able to exhibit pronounced anti-hyperglycemic effect in vivo compared with hUMSCs alone.
    MeSH terms: Animals; Humans; Hypoglycemic Agents/pharmacology; Insulin/metabolism; Mesenchymal Stem Cell Transplantation*; Rats
  17. Lee PY, Salim H, Abdullah A, Teo CH
    PMID: 37814667 DOI: 10.51866/cm0006
    ChatGPT, an artificial intelligence (AI) language model based on the GPT-3.5 architecture, is revolutionising scientific writing and medical research. Researchers employ ChatGPT for diverse tasks, including automated literature reviews, structured-outline generation and drafting/editing assistance. The tool adapts language for varied audiences, aids in citation management, supports collaborative writing and peer review and facilitates table/figure creation. While it enhances efficiency, concerns arise regarding ethics, bias, accuracy and originality. Transparent data sourcing and validation are crucial, as ChatGPT complements human efforts but does not replace critical thinking. Accordingly, researchers must uphold integrity, ensuring that AI-assisted content aligns with research principles. Acknowledgement of AI use in manuscripts, as recommended by the International Committee of Medical Journal Editors, ensures accountability. ChatGPT's transformative potential lies in harmonising its capabilities with researchers' expertise, fostering a symbiotic relationship that advances scientific progress and ethical standards.
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