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  1. Fong LY, Ng CT, Yong YK, Hakim MN, Ahmad Z
    Vascul Pharmacol, 2019 06;117:15-26.
    PMID: 30114509 DOI: 10.1016/j.vph.2018.08.005
    Endothelial hyperpermeability represents an initiating step in early atherosclerosis and it often occurs as a result of endothelial barrier dysfunction. Asiatic acid, a major triterpene isolated from Centella asiatica (L.) Urban, has previously been demonstrated to protect against tumor necrosis factor (TNF)-α-induced endothelial barrier dysfunction. The present study aimed to investigate the mechanisms underlying the barrier protective effect of asiatic acid in human aortic endothelial cells (HAECs). The localization of F-actin, diphosphorylated myosin light chain (diphospho-MLC), adherens junctions (AJs) and tight junctions (TJs) was studied using immunocytochemistry techniques and confocal microscopy. Their total protein expressions were examined using western blot analysis. The endothelial permeability was assessed using In Vitro Vascular Permeability Assay kits. In addition, intracellular redistribution of the junctional proteins was evaluated using subcellular fractionation kits. We show that asiatic acid stabilized F-actin and diphospho-MLC at the cell periphery and prevented their rearrangement stimulated by TNF-α. However, asiatic acid failed to attenuate cytochalasin D-induced increased permeability. Besides, asiatic acid abrogated TNF-α-induced structural reorganization of vascular endothelial (VE)-cadherin and β-catenin by preserving their reticulum structures at cell-cell contact areas. In addition, asiatic acid also inhibited TNF-α-induced redistribution of occludin and zona occludens (ZO)-1 in different subcellular fractions. In conclusion, the barrier-stabilizing effect of asiatic acid might be associated with preservation of AJs and prevention of TJ redistribution caused by TNF-α. This study provides evidence to support the potential use of asiatic acid in the prevention of early atherosclerosis, which is initiated by endothelial barrier dysfunction.
  2. Bibi S, Khan A, Khan AH, Khan MN, Mushtaq S, Rashid SA
    Front Pharmacol, 2022;13:900798.
    PMID: 36467026 DOI: 10.3389/fphar.2022.900798
    Background: Biodegradable polymer (BP) drug-eluting stents (DES) have been introduced as a novel solution to the problems of durable polymer (DP) stents. In Pakistan, very few studies are available for the treatment intervention in post-primary percutaneous coronary intervention (PPCI) patients. Our study will compare the major adverse cardiovascular events (MACEs) and their predictors in patients with coronary artery disease (CAD) undergoing PPCI with second- or third-generation DES. Methodology: An observational, retrospective, cohort study was carried out on CAD patients undergoing PPCI with either second- (DP-XIENCE Prime/XIENCE Xpedition) or third-generation (BP-BioMatrix NeoFlex/BioMatrix Alpha) DES. MACEs were assessed after 1 year of PPCI procedure in 341 patients and screened as per inclusion/exclusion criteria (167 in the second-generation group and 174 in the third-generation group). Results: The number of male patients (86.2%) was more than female patients in our study population. MACEs were reported in 4.19% patients after 1 year duration, and the percentage of MACEs was more in the second-generation DES group (4.77%) than in the third-generation group (3.44%); however, statistical analysis has not found any significant difference (p = 0.534). The rate of myocardial infarction (1.19% vs. 0.57%) and stent thrombosis (1.8% vs. 1.15%) was more in the second-generation DES group. However, restenosis (1.19% vs. 1.15%) and cardiac death (0.59% vs. 0.57%) were almost same in both groups. A significant association was found between MACEs and diabetes mellitus (p = 0.025), hypertension (p = 0.035), smoking (p = 0.008), and a family history of CAD (p = 0.018). Conclusion: BP-BioMatrix and DP-XIENCE DES have comparable clinical outcomes. Findings of the current study will assist the policy makers and healthcare providers in the rationalization of scarce resources and evidence-based patient care. However, longer follow-up studies are required for convincing results.
  3. Noor UA, Jadoon MA, Onyelowe K, Shahzad A, Ghaedi K, Alabduljabbar H, et al.
    Sci Rep, 2024 Aug 05;14(1):18152.
    PMID: 39103486 DOI: 10.1038/s41598-024-69270-1
    Brittle shear failure of beam-column joints, especially during seismic events poses a significant threat to structural integrity. This study investigates the potential of steel fiber reinforced concrete (SFRC) in the joint core to enhance ductility and overcome construction challenges associated with traditional reinforcement. A non-linear finite element analysis (NLFEA) using ABAQUS software was conducted to simulate the behavior of SFRC beam-column joints subjected to cyclic loading. Ten simulated specimens were analyzed to discern the impact of varying steel fiber volume fraction and aspect ratio on joint performance. Key findings reveal that a 2% volume fraction of steel fibers in the joint core significantly improves post-cracking behavior by promoting ductile shear failure, thereby increasing joint toughness. While aspect ratio variations showed minimal impact on load capacity, long and thin steel fibers effectively bridge cracks, delaying their propagation. Furthermore, increasing steel fiber content resulted in higher peak-to-peak stiffness. This research suggests that strategically incorporating SFRC in the joint core can promote ductile shear failure, enhance joint toughness, and reduce construction complexities by eliminating the need for congested hoops. Overall, the developed NLFEA model proves to be a valuable tool for investigating design parameters in SFRC beam-column joints under cyclic loading.
  4. Siti-Zubaidah MZ, Harafinova HS, Liba AN, Nordin ML, Hambali KA, Siti HN
    Vascul Pharmacol, 2024 Sep;156:107414.
    PMID: 39089528 DOI: 10.1016/j.vph.2024.107414
    Sepsis and atherosclerotic cardiovascular disease (ASCVD) are major health challenges involving complex processes like inflammation, renin-angiotensin system (RAS) dysregulation, and thrombosis. Despite distinct clinical symptoms, both conditions share mechanisms mediated by bradykinin. This review explores bradykinin's role in inflammation, RAS modulation, and thrombosis in sepsis and ASCVD. In sepsis, variable kininogen-bradykinin levels may correlate with disease severity and progression, though the effect of bradykinin receptor modulation on inflammation remains uncertain. RAS activation is present in both diseases, with sepsis showing variable or low levels of Ang II, ACE, and ACE2, while ASCVD consistently exhibits elevated levels. Bradykinin may act as a mediator for ACE2 and AT2 receptor effects in RAS regulation. It may influence clotting and fibrinolysis in sepsis-associated coagulopathy, but evidence for an antithrombotic effect in ASCVD is insufficient. Understanding bradykinin's role in these shared pathologies could guide therapeutic and monitoring strategies and inform future research.
  5. Rosli MAF, Syed Jaafar SN, Azizan KA, Yaakop S, Aizat WM
    PeerJ, 2024;12:e17843.
    PMID: 39247549 DOI: 10.7717/peerj.17843
    Bemisia tabaci (Gennadius) whitefly (BtWf) is an invasive pest that has already spread worldwide and caused major crop losses. Numerous strategies have been implemented to control their infestation, including the use of insecticides. However, prolonged insecticide exposures have evolved BtWf to resist these chemicals. Such resistance mechanism is known to be regulated at the molecular level and systems biology omics approaches could shed some light on understanding this regulation wholistically. In this review, we discuss the use of various omics techniques (genomics, transcriptomics, proteomics, and metabolomics) to unravel the mechanism of insecticide resistance in BtWf. We summarize key genes, enzymes, and metabolic regulation that are associated with the resistance mechanism and review their impact on BtWf resistance. Evidently, key enzymes involved in the detoxification system such as cytochrome P450 (CYP), glutathione S-transferases (GST), carboxylesterases (COE), UDP-glucuronosyltransferases (UGT), and ATP binding cassette transporters (ABC) family played key roles in the resistance. These genes/proteins can then serve as the foundation for other targeted techniques, such as gene silencing techniques using RNA interference and CRISPR. In the future, such techniques will be useful to knock down detoxifying genes and crucial neutralizing enzymes involved in the resistance mechanism, which could lead to solutions for coping against BtWf infestation.
  6. Zia-Ur-Rehman, Awang MK, Rashid J, Ali G, Hamid M, Mahmoud SF, et al.
    PLoS One, 2024;19(9):e0304995.
    PMID: 39240975 DOI: 10.1371/journal.pone.0304995
    Alzheimer's disease (AD) is a brain illness that causes gradual memory loss. AD has no treatment and cannot be cured, so early detection is critical. Various AD diagnosis approaches are used in this regard, but Magnetic Resonance Imaging (MRI) provides the most helpful neuroimaging tool for detecting AD. In this paper, we employ a DenseNet-201 based transfer learning technique for diagnosing different Alzheimer's stages as Non-Demented (ND), Moderate Demented (MOD), Mild Demented (MD), Very Mild Demented (VMD), and Severe Demented (SD). The suggested method for a dataset of MRI scans for Alzheimer's disease is divided into five classes. Data augmentation methods were used to expand the size of the dataset and increase DenseNet-201's accuracy. It was found that the proposed strategy provides a very high classification accuracy. This practical and reliable model delivers a success rate of 98.24%. The findings of the experiments demonstrate that the suggested deep learning approach is more accurate and performs well compared to existing techniques and state-of-the-art methods.
  7. Sadiq M, Lin CY, Wang KT, Trung LM, Duong KD, Ngo TQ
    Resour Policy, 2022 Dec;79:103033.
    PMID: 36187223 DOI: 10.1016/j.resourpol.2022.103033
    The current research intends to examine the commodities' dynamism connection with stock prices under the COVID-19 crisis. DCC-GARCH modeling was applied to the data of Asian economies, including China, India, Sri Lanka, Bangladesh, and Pakistan to achieve the study objectives. The study's results indicated a significant connection between gold prices with stock prices and oil prices for all Asian stock markets. The results of the study constructs were symmetrical. In general, the connection grows with the frequency. The lowest frequency months contributed the most to the total relationship, followed by more than 12 months. Overall, gold and oil prices influence the Asian stock markets. These research findings can avoid contagion in times of economic uncertainty. This study also suggested policy implications for better decision-making of key stakeholders. Dynamic coefficient values were about 0.8 of β2 because nations' internal markets were more closely linked. There are also dynamic relationship factors between crude oil and foreign currency markets, where the correlations in India and China have always been around 0.
  8. Rendana M, Idris WMR, Rahim SA, Rahman ZA, Lihan T
    Geosci Lett, 2023;10(1):1.
    PMID: 36619610 DOI: 10.1186/s40562-022-00254-7
    Climate change and soil erosion are very associated with environmental defiance which affects the life sustainability of humans. However, the potency effects of both events in tropical regions are arduous to be estimated due to atmospheric conditions and unsustainable land use management. Therefore, several models can be used to predict the impacts of distinct climate scenarios on human and environmental relationships. In this study, we aimed to predict current and future soil erosion potential in the Chini Lake Basin, Malaysia under different Climate Model Intercomparison Project-6 (CMIP6) scenarios (e.g., SSP2.6, SSP4.5, and SSP8.5). Our results found the predicted mean soil erosion values for the baseline scenario (2019-2021) was around 50.42 t/ha year. The mining areas recorded the highest soil erosion values located in the southeastern part. The high future soil erosion values (36.15 t/ha year) were obtained for SSP4.5 during 2060-2080. Whilst, the lowest values (33.30 t/ha year) were obtained for SSP2.6 during 2040-2060. According to CMIP6, the future soil erosion potential in the study area would reduce by approximately 33.9% compared to the baseline year (2019-2021). The rainfall erosivity factor majorly affected soil erosion potential in the study area. The output of the study will contribute to achieving the United Nations' 2030 Agenda for Sustainable Development.
  9. Malarvizhi CAN, Al Mamun A, Reza MNH, Masud MM
    Digit Health, 2024;10:20552076241272577.
    PMID: 39247095 DOI: 10.1177/20552076241272577
    The adoption of e-healthcare services is critical for improving healthcare accessibility and efficiency, particularly in regions with diverse populations, such as Malaysia. Although e-healthcare services offer numerous advantages, their adoption is considerably low and requires a thorough understanding of the key factors that influence their use. This study investigated the determinants and dynamics of e-healthcare adoption among adults over 40 years by extending the unified theory of acceptance and use of technology. We employed a quantitative research approach, specifically a cross-sectional design. Data were collected from 393 Malaysian respondents through a structured survey questionnaire, using convenience sampling. They were analyzed using partial least-squares-structural equation modeling. The findings revealed that performance expectancy, effort expectancy, social influence, and perceived product value significantly influenced individuals' intentions to use e-healthcare services. Meanwhile, perceived risk had an insignificant negative effect. Facilitating conditions significantly influenced individuals' intentions and actual usage of e-healthcare services. Furthermore, individuals' intentions to use e-healthcare services significantly affected their actual use of these services. Additionally, the intention to use e-healthcare services mediated the relationship between the factors and usage of e-healthcare services, except for perceived risk. Surprisingly, perceived service accuracy had no significant moderating effect on the relationship between individuals' intention to use and their actual use of e-healthcare services. This study offers valuable insights for educators, practitioners, and policymakers, enriching the scholarly discourse in this field. For education, integrating e-healthcare topics into curricula can enhance digital health literacy. In practice, healthcare providers should focus on improving user experience and addressing barriers to technology adoption. For policy making, developing supportive policies, and infrastructure to facilitate e-healthcare adoption is crucial to enhancing public health outcomes.
  10. Suleman M, Faizullah, Khan A, Mohammad Sayaf A, Alghamdi A, Alghamdi SA, et al.
    Curr Med Chem, 2024 Aug 27.
    PMID: 39253929 DOI: 10.2174/0109298673311962240815055821
    BACKGROUND: Colorectal cancer (CRC) stands as the third most widespread cancer worldwide in both men and women, witnessing a concerning rise, especially in younger demographics. Abnormal activation of the Non-Receptor Tyrosine Kinase c-Src has been linked to the advancement of several human cancers, including colorectal, breast, lung, and pancreatic ones. The interaction between c-Src and Hexokinase 2 (HK2) triggers enzyme phosphorylation, significantly boosting glycolysis, and ultimately contributing to the development of CRC.

    OBJECTIVES: The objectives of this study are to examine the influence of newly identified mutations on the interaction between c-Src and the HK2 enzyme and to discover potent phytocompounds capable of disrupting this interaction.

    METHODS: In this study, we utilized molecular docking to check the effect of the identified mutation on the binding of c-Src with HK2. Virtual drug screening, MD simulation, and binding free energy were employed to identify potent drugs against the binding interface of c-Src and HK2.

    RESULTS: Among these mutations, six (W151C, L272P, A296S, A330D, R391H, and P434A) were observed to significantly disrupt the stability of the c-Src structure. Additionally, through molecular docking analysis, we demonstrated that the mutant forms of c-Src exhibited high binding affinities with HK2. The wildtype showed a docking score of -271.80 kcal/mol, while the mutants displayed scores of -280.77 kcal/mol, -369.01 kcal/mol, -324.41 kcal/mol, -362.18 kcal/mol, 266.77 kcal/mol, and -243.28 kcal/mol for W151C, L272P, A296S, A330D, R391H, and P434A respectively. Furthermore, we identified five lead phytocompounds showing strong potential to impede the binding of c-Src with HK2 enzyme, essential for colon cancer progression. These compounds exhibit robust bonding with c-Src with docking scores of -7.37 kcal/mol, -7.26 kcal/mol, -6.88 kcal/mol, -6.81 kcal/mol, and -6.73 kcal/mol. Moreover, these compounds demonstrate dynamic stability, structural compactness, and the lowest residual fluctuation during MD simulation. The binding free energies for the top five hits (-42.44±0.28 kcal/mol, -28.31±0.25 kcal/mol, -34.95±0.44 kcal/mol, -38.92±0.25 kcal/mol, and -30.34±0.27 kcal/mol), further affirm the strong interaction of these drugs with c-Src which might impede the cascade of events that drive the progression of colon cancer.

    CONCLUSION: Our findings serve as a promising foundation, paving the way for future discoveries in the fight against colorectal cancer.

  11. Mohd Haniff NS, Ng KH, Kamal I, Mohd Zain N, Abdul Karim MK
    Heliyon, 2024 Aug 30;10(16):e36313.
    PMID: 39253167 DOI: 10.1016/j.heliyon.2024.e36313
    The aim of this systematic review and meta-analysis is to evaluate the performance of classification metrics of machine learning-driven radiomics in diagnosing hepatocellular carcinoma (HCC). Following the PRISMA guidelines, a comprehensive search was conducted across three major scientific databases-PubMed, ScienceDirect, and Scopus-from 2018 to 2022. The search yielded a total of 436 articles pertinent to the application of machine learning and deep learning for HCC prediction. These studies collectively reflect the burgeoning interest and rapid advancements in employing artificial intelligence (AI)-driven radiomics for enhanced HCC diagnostic capabilities. After the screening process, 34 of these articles were chosen for the study. The area under curve (AUC), accuracy, specificity, and sensitivity of the proposed and basic models were assessed in each of the studies. Jamovi (version 1.1.9.0) was utilised to carry out a meta-analysis of 12 cohort studies to evaluate the classification accuracy rate. The risk of bias was estimated, and Logistic Regression was found to be the most suitable classifier for binary problems, with least absolute shrinkage and selection operator (LASSO) as the feature selector. The pooled proportion for HCC prediction classification was high for all performance metrics, with an AUC value of 0.86 (95 % CI: 0.83-0.88), accuracy of 0.83 (95 % CI: 0.78-0.88), sensitivity of 0.80 (95 % CI: 0.75-0.84) and specificity of 0.84 (95 % CI: 0.80-0.88). The performance of feature selectors, classifiers, and input features in detecting HCC and related factors was evaluated and it was observed that radiomics features extracted from medical images were adequate for AI to accurately distinguish the condition. HCC based radiomics has favourable predictive performance especially with addition of clinical features that may serve as tool that support clinical decision-making.
  12. Azman MM, Haris MS, Lestari W, Husain J, Abdul Qader OAJ, Wan Abd Manan WNH
    Data Brief, 2024 Dec;57:111028.
    PMID: 39534064 DOI: 10.1016/j.dib.2024.111028
    This study aims to characterise and assess the stability of an optimised lignocaine-adrenaline nanogel using central composite design (CCD). Compatibility studies were conducted using Attenuated Total Reflectance-Fourier Transform Infrared (ATR-FTIR) and Ultraviolet-visible (UV-vis) spectroscopy. Eighteen lignocaine-adrenaline Nanoemulsion (LANE) formulations derived using CCD were characterised for particle size, polydispersity index (PDI), zeta potential and pH. All LANE formulations were transformed into lignocaine-adrenaline Nanoemulsion-based Gel (NBG) by adding 0.1 % Carbopol 940. Stability studies for LANE and NBG were conducted for 12 months storage at 25 °C. The results of long-term stability assessment of LANEs and NBGs were integrated with CCD predictions to produce the optimised NBG, lignocaine-adrenaline Nanogel. The optimised NBG model was validated in triplicates. The optimised NBG was subjected to 5000 rpm centrifugation for 30 min, repeated heating-cooling cycles (40 °C and 4 °C), and a freeze-thaw cycle (-5 °C and 25 °C). ATR-FTIR and UV-vis results indicated compatibility between lignocaine, adrenaline and the excipients. The viscosity of the nanogel corresponded to that of ferric sulphate solution (24 ± 1 mPa·s at 20 °C). The LANE and NBG formulations showed no drug precipitation or phase separation after the stability study. The optimised NBG had particle size (61.76 ± 0.25 nm), PDI (0.36 ± 0.01), zeta potential (-26.47 ± 0.02 mV) and pH (6.28 ± 0.02). The optimised NBG remained stable in stress-induced environments. CCD enabled optimisation of a stable NBG formulation.
  13. Al-Quraishi MS, Azhar Ali SS, Al-Qurishi M, Tang TB, Elferik S
    Heliyon, 2024 Oct 30;10(20):e39592.
    PMID: 39512317 DOI: 10.1016/j.heliyon.2024.e39592
    Driver fatigue or drowsiness detection techniques can significantly enhance road safety measures and reduce traffic accidents. These approaches used different sensor technologies to acquire the human physiological and behavioral characteristics to investigate the driver's vigilance state. Although the driver's vigilance detection technique has attracted significant interest recently, few studies have been conducted to review it systematically. These studies provide a thorough overview of the most advanced driver vigilance detection method available today in terms of sensor technology for scholars and specialists. This research is geared towards achieving three main objectives. Firstly, it aims to systematically gather, evaluate, and synthesize information from previous research published between 2014 and May 2024 on driver's state and driving sensors and their implementation on detection algorithms. It aims to provide a thorough review of the present state of research on wearable and unwearable sensor technology for driver fatigue detection, focusing on reporting experimental results in this field. This information will be necessary for experts and scientists seeking to advance their knowledge in this field. Lastly, the research aims to identify gaps in knowledge that require further investigation and recommend future research directions to help address these gaps. This way, it will contribute to the advancement of the field and provide beneficial insights for future researchers.
  14. Zulkharnain EM, Muhamad Ariffin MH, Tan JA, Zakaria MAA
    Cureus, 2024 Oct;16(10):e71166.
    PMID: 39525210 DOI: 10.7759/cureus.71166
    Giant cell tumour (GCT) is a benign bone tumour characterised by osteoclastic-like multinucleated cells. This tumour predominantly occurs in adults during the third decade of life, commonly in the distal femur, proximal tibia, distal radius, and sacrum. Treatment options include wide local excision with possible adjuvant therapy depending on tumour size and site. We present a case of an 18-year-old lady with no prior medical history complaining of worsening insidious onset localised back pain and preceding numbness of the bilateral lower limbs, diagnosed with a giant cell tumour of the spine (T11).
  15. Tan JYC, Ng SY, Chan HK, Wong PM, Mohamed Zabidi H, Abu Hassan MR
    J Cardiol, 2024 Dec;84(6):362-365.
    PMID: 38852775 DOI: 10.1016/j.jjcc.2024.06.001
    BACKGROUND: Children with intravenous immunoglobulin (IVIG) resistant Kawasaki disease (KD) are at higher risk of developing coronary artery (CA) aneurysm. Early identification of high-risk patients using a predictive tool would allow for earlier interventions to prevent cardiac complications.

    METHODS: Children with KD who were admitted to five selected hospitals in Malaysia between 2008 and 2018 and received 2 g/kg of IVIG within 10 days from the onset of illness were included. Predictors of IVIG resistance in KD were determined using multiple logistic regression analysis. An optimal cut-off point was set using receiver operative characteristic curve and a final multiple logistic regression analysis was performed entering these cut-off points. A new scoring system was constructed.

    RESULTS: A total of 276 patients were included. IVIG resistance occurred in 9.1 % of them. Total bilirubin [OR 7.37; 95 % CI (2.18, 24.83)], male sex [OR 0.34; 95 % CI (0.10, 1.19)], C-reactive protein (CRP) [OR 0.17; 95 % CI (0.02, 1.38)] and neutrophils [OR 0.25; 95 % CI (0.05, 1.21)] were found to be significant predictors for IVIG resistance. The findings led to the development of a new predictive tool called the Hibiscus score, which scored 1 point each for neutrophils ≥60 %, CRP ≥80 mg/L, and male sex, while total bilirubin ≥9.4 μmol/L scored 2 points. A cut-off point of ≥4 with this prediction score yielded a sensitivity of 78.9 % and specificity of 80.5 %, with area under the curve of 0.835 [95 % CI (0.752, 0.919)]. CA aneurysms occurred in 6.7 % of IVIG responders and 32 % of IVIG-resistant children (p 

  16. Pratama DAO, Fernanda A, Raissa R, Permata FS, Nordin ML
    Open Vet J, 2024 Oct;14(10):2678-2686.
    PMID: 39545186 DOI: 10.5455/OVJ.2024.v14.i10.17
    BACKGROUND: Mammary gland carcinoma is a malignant type of cancer that occurs in mammae tissue. Dimethylbenzene (α) anthracene (DMBA) is a carcinogenic agent that causes mammary cancer by damaging cellular DNA. Flavonoids found in the black soybean (Glycine max L. Merr) exhibit anti-carcinogenic effects.

    AIM: This study evaluated the anticarcinogenic effects of black soybean extract.

    METHODS: The activity of flavonoid compounds in black soybean was determined in silico. Five groups of rats, four in each group, were established, consisting of a negative control, a positive control, and three treatment groups. Treatment included black soybean extract administration (i.e., T1 = 200, T2 = 400, and T3 = 800 mg of black soybean extract/kg body weight for 10 days). The observed parameters included the immunohistochemical analysis of Breast Cancer 1(BRCA1) and TNF-α.

    RESULTS: Based on an in silico study, compounds from black soybeans are non-toxic. Functional annotation analysis revealed that most of the target proteins have a role in biological processes associated with cancer development. An in vivo analysis using an animal mammae cancer model indicated that black soybean extracts inhibited mammae cancer progression by attenuating TNF-α and BRCA1 expression.

    CONCLUSION: The most effective dosage of black soybean extract was 200 mg/kg body weight. An increase in BRCA1 and TNF-α expression may be related to the effects of catechin, daidzein, genistein, and glycitein, which are present in black soybeans.

  17. Abduraman MA, Amanah A, Hamid SBS, Abdullah MFIL, Sulaiman SF, Tan ML
    J Pharm Pharmacol, 2024 Nov 14.
    PMID: 39541262 DOI: 10.1093/jpp/rgae131
    OBJECTIVES: Kratom preparation containing Mitragyna speciosa Korth plant is frequently used as a recreational drug. Mitragynine, a major alkaloid isolated from M. speciosa, is often detected concurrently with other drugs during forensic analysis, indicating a safety concern. P-glycoprotein (P-gp) is a multidrug transporter. Modulation of P-gp transport activity by drugs or herbal compounds in the brain may lead to drug-herb interactions, resulting in neurotoxicity. We aim to determine the effects of mitragynine on the P-gp regulation and possible neurotoxicity.

    METHODS: The effects of mitragynine on the P-gp regulation were investigated in human brain capillary endothelial cells (hCMEC/D3) using molecular docking and dynamic simulation and an optimized bidirectional transport assay, respectively. Repeated-dose treatment and neurotoxicity assessment were carried out using a blood-brain barrier model and polimerase chain reaction (PCR) array.

    KEY FINDINGS: Mitragynine inhibits the P-gp transport activity via binding onto the nucleotide-binding domain site and forms a stable interaction with the P-gp protein complex. Nontoxic concentrations of mitragynine (<4 μM) and substrate drugs (0.001 μM) in the cells significantly enhanced endothelial cell permeability and elicited signs of neurotoxicity in PC-12 cells.

    CONCLUSIONS: Mitragynine is likely a P-gp inhibitor, hence concurrent administration of kratom products with P-gp substrates may lead to clinically significant interactions and neurotoxicity.

  18. Khairat JE, Hatta MNA, Abdullah N, Azman AS, Calvin SYM, Syed Hassan S
    Biosci Rep, 2024 Mar 29;44(3).
    PMID: 38372298 DOI: 10.1042/BSR20231827
    Septin proteins are a subfamily of closely related GTP-binding proteins conserved in all species except for higher plants and perform essential biological processes. Septins self-assemble into heptameric or octameric complexes and form higher-order structures such as filaments, rings, or gauzes by end-to-end binding. Their close association with cell membrane components makes them central in regulating critical cellular processes. Due to their organisation and properties, septins function as diffusion barriers and are integral in providing scaffolding to support the membrane's curvature and stability of its components. Septins are also involved in vesicle transport and exocytosis through the plasma membrane by co-localising with exocyst protein complexes. Recently, there have been emerging reports of several human and animal diseases linked to septins and abnormalities in their functions. Most of our understanding of the significance of septins during microbial diseases mainly pertains to their roles in bacterial infections but not viruses. This present review focuses on the known roles of septins in host-viral interactions as detailed by various studies.
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