Browse publications by year: 2024

  1. Budiman A, Hafidz NPM, Azzahra RSS, Amaliah S, Sitinjak FY, Rusdin A, et al.
    Polymers (Basel), 2024 Dec 14;16(24).
    PMID: 39771340 DOI: 10.3390/polym16243489
    Plant extracts demonstrate significant potential as a rich source of active pharmaceutical ingredients, exhibiting diverse biological activities and minimal toxicity. However, the low aqueous solubility of extracts and their gastrointestinal permeability, as well as their poor oral bioavailability, limit clinical advancements due to drug delivery problems. An amorphous solid dispersion (ASD) delivers drugs by changing an active pharmaceutical ingredient (API) into an amorphous state to increase the solubility and availability of the API to the body. This research aimed to analyze and summarize the successful advancements of ASD systems derived from plant extracts, emphasizing characterization and the effects on dissolution and pharmacological activity. The results show that ASD systems improve phytoconstituent dissolution, bioavailability, and stability, in addition to reducing dose and toxicity. This research demonstrates the significance of ASD in therapeutic formulations to augment the pharmacological activities and efficacy of medicinal plant extracts. The prospects indicate promising potential for therapeutic applications utilizing ASD systems, alongside medicinal plant extracts for clinical therapy.
  2. Imdad M, Fazil A, Ramli SNB, Ryu J, Mahdin HB, Manzoor Z
    Sensors (Basel), 2024 Dec 11;24(24).
    PMID: 39771638 DOI: 10.3390/s24247900
    The vast interconnection of resource-constrained devices and the immense amount of data exchange in the Internet of Things (IoT) environment resulted in the resurgence of various security threats. This resource-constrained environment of IoT makes data security a very challenging task. Recent trends in integrating lightweight cryptographic algorithms have significantly improved data security in the IoT without affecting performance. The PRESENT block cipher, a standard and lightweight benchmark algorithm, is a widely accepted and implemented algorithm with a simple design, low-cost implementation, and optimum performance. However, this simple design utilizing lightweight linear and non-linear functions led to slow confusion and diffusion properties. The static bits in the permutation layer are the leading cause of slow diffusion, showcasing dependencies between plaintext and ciphertext bits. This research addresses and seeks to overcome this shortcoming of slow confusion and diffusion using the Deoxyribonucleic Acid (DNA) replication process and shift-aided operations, leading to the DNA-PRESENT block cipher. Security, cost, and performance analyses were performed to verify the improvements. The results demonstrated that with only 33.5% additional cost, DNA-PRESENT increased key sensitivity to 73.57%, plaintext sensitivity to 33%, and consistently ensured an average bit error rate (BER) of 50.2%. An evident increase of 176.47 kb/s in throughput and reduced latency to 17 cycles/block kept the good hardware efficiency of 43.41 kbps/KGE, and the reduction in execution time by 0.2333 s led to better performance. Considering the security advances achieved, this cost increase is a trade-off between security and performance.
  3. Shuzan MNI, Chowdhury MH, Alam SB, Reaz MBI, Khan MS, Murugappan M, et al.
    Phys Eng Sci Med, 2024 Dec;47(4):1705-1722.
    PMID: 39287773 DOI: 10.1007/s13246-024-01482-1
    Breathing conditions affect a wide range of people, including those with respiratory issues like asthma and sleep apnea. Smartwatches with photoplethysmogram (PPG) sensors can monitor breathing. However, current methods have limitations due to manual parameter tuning and pre-defined features. To address this challenge, we propose the PPG2RespNet deep-learning framework. It draws inspiration from the UNet and UNet + + models. It uses three publicly available PPG datasets (VORTAL, BIDMC, Capnobase) to autonomously and efficiently extract respiratory signals. The datasets contain PPG data from different groups, such as intensive care unit patients, pediatric patients, and healthy subjects. Unlike conventional U-Net architectures, PPG2RespNet introduces layered skip connections, establishing hierarchical and dense connections for robust signal extraction. The bottleneck layer of the model is also modified to enhance the extraction of latent features. To evaluate PPG2RespNet's performance, we assessed its ability to reconstruct respiratory signals and estimate respiration rates. The model outperformed other models in signal-to-signal synthesis, achieving exceptional Pearson correlation coefficients (PCCs) with ground truth respiratory signals: 0.94 for BIDMC, 0.95 for VORTAL, and 0.96 for Capnobase. With mean absolute errors (MAE) of 0.69, 0.58, and 0.11 for the respective datasets, the model exhibited remarkable precision in estimating respiration rates. We used regression and Bland-Altman plots to analyze the predictions of the model in comparison to the ground truth. PPG2RespNet can thus obtain high-quality respiratory signals non-invasively, making it a valuable tool for calculating respiration rates.
    MeSH terms: Humans; Monitoring, Physiologic; Respiration*; Signal Processing, Computer-Assisted*; Photoplethysmography*
  4. Sadeghi MH, Sina S, Alavi M, Giammarile F, Yeong CH
    Phys Eng Sci Med, 2024 Dec;47(4):1739-1749.
    PMID: 39312120 DOI: 10.1007/s13246-024-01485-y
    Accurate segmentation of ovarian cancer (OC) lesions in PET/CT images is essential for effective disease management, yet manual segmentation for radiomics analysis is labor-intensive and time-consuming. This study introduces the application of a 3D U-Net deep learning model, leveraging advanced 3D networks, for multi-class semantic segmentation of OC in PET/CT images and assesses the stability of the extracted radiomics features. Utilizing a dataset of 3120 PET/CT images from 39 OC patients, the dataset was divided into training (70%), validation (15%), and test (15%) subsets to optimize and evaluate the model's performance. The 3D U-Net model, especially with a VGG16 backbone, achieved notable segmentation accuracy with a Dice score of 0.74, Precision of 0.76, and Recall of 0.78. Additionally, the study demonstrated high stability in radiomics features, with over 85% of PET and 84% of CT image features showing high intraclass correlation coefficients (ICCs > 0.8). These results underscore the potential of automated 3D U-Net-based segmentation to significantly enhance OC diagnosis and treatment planning. The reliability of the extracted radiomics features from automated segmentation supports its application in clinical decision-making and personalized medicine. This research marks a significant advancement in oncology diagnostics, providing a robust and efficient method for segmenting OC lesions in PET/CT images. By addressing the challenges of manual segmentation and demonstrating the effectiveness of 3D networks, this study contributes to the growing body of evidence supporting the application of artificial intelligence in improving diagnostic accuracy and patient outcomes in oncology.
    MeSH terms: Female; Humans; Image Processing, Computer-Assisted; Middle Aged; Semantics; Imaging, Three-Dimensional*; Positron Emission Tomography Computed Tomography*
  5. Ali-Saeed R, Alabsi AM, Al-Garadi MA, Abdelwahab SI, Samrot AV, Subramaniyan V, et al.
    Asian Pac J Cancer Prev, 2024 Sep 01;25(9):2991-2998.
    PMID: 39342575 DOI: 10.31557/APJCP.2024.25.9.2991
    OBJECTIVE: Leukemia is a group of hematologic malignancies in the bonemarrow that arise from the dysfunctional proliferation of developing leukocytes. It is classified as either acute or chronic based on the rapidity of proliferation and as myelocytic or lymphocytic based on the cell of origin. Newcastle Disease Virus (NDV) is an avian paramyxovirus, which has been demonstrated to possess significant oncolytic activity against mammalian cancers because its ability to kill tumor cells with limited toxicity to normal cells.

    METHODS:  In this study, the morphophical changes and apoptosis induction of WEHI 3B leukemia cell line treated with NDV strain AF2240 were studied by scanning electron microscopes and  transmission electron microscopes techniques.

    RESULT: Electron microscopy indicated that NDV strain AF 2240 significantly altered cell morphology and reduced cell viability. Furthermore,  early apoptosis was observed 6 h post-inoculation by fluorescence microscope.

    CONCLUSION: Our results suggest that NDV has ability to induce significant apoptoic structural changes in WEHI 3B leukemia cell line. These findings provide new insights into the mechanism of action of NDV virotherapy and could lead to the development of more effective treatments for leukemia.

    MeSH terms: Animals; Humans; Newcastle disease virus*; Tumor Cells, Cultured; Apoptosis*; Cell Line, Tumor; Microscopy, Electron, Transmission; Cell Proliferation; Oncolytic Virotherapy/methods; Mice
  6. Guangquan T, Changyi L, Peng Z, Na L, Jumuddin FA
    Asian Pac J Cancer Prev, 2024 Sep 01;25(9):3023-3028.
    PMID: 39342579 DOI: 10.31557/APJCP.2024.25.9.3023
    OBJECTIVE: We conducted a study to assess the effectiveness and safety of three different surgical instruments for enucleation in treating high-risk benign prostatic hyperplasia (BPH). These instruments include red laser, green laser, and plasma surgical equipment for enucleation of the prostate.

    METHOD: In a retrospective analysis, 237 patients diagnosed with high-risk benign prostatic hyperplasia (BPH) underwent prostate enucleation using three different groups of surgical instruments at the Department of Urology, the First Affiliated Hospital of Jinzhou Medical University. These groups included the red laser device group (n = 67), the green laser device group (n = 61), and the plasma device group (n = 109). The study evaluated changes in prostate mass, blood loss, operation time, and postoperative efficacy at 1- and 6-month intervals, as well as any associated complications.

    RESULTS: The red and green laser surgical instrument groups demonstrated superiority over the plasma group in several aspects. (1) Operation Time: *1* Red laser group: 87.9 ± 14.7 minutes; *1* Green laser group: 86.1 ± 15.3 minutes. (2) Blood Loss: *1* Red laser group: 30.1 ± 5.9 mL; *2*Green laser group: 30.9 ± 6.1 mL. (3) Temporary Urinary Incontinence: *1*Red laser group: 3 cases (4.48%); *2*Green laser group: 2 cases (3.28%). These differences were statistically significant. Additionally, postoperative indicators such as IPSS(International Prostate Prostate Symptom Score), QoL(Quality of Life), Q max(The Maximum Flow Rate), and RUV(Residual Urine Volume) showed significant improvement in all three groups compared to the preoperative state.

    CONCLUSION: Red laser, green laser and plasma surgical devices were safe and effective in the treatment of high critical benign prostatic hyperplasia; laser surgical devices showed better performance in terms of operation time, intraoperative bleeding and complications.

    MeSH terms: Aged; Follow-Up Studies; Humans; Male; Middle Aged; Postoperative Complications; Prognosis; Prostate/pathology; Prostate/surgery; Prostatectomy/methods; Quality of Life; Retrospective Studies; Surgical Instruments; Blood Loss, Surgical; Treatment Outcome; Laser Therapy/methods; Operative Time
  7. Zhao L, Lin Z, Nong S, Li C, Li J, Lin C, et al.
    Asian Pac J Cancer Prev, 2024 Sep 01;25(9):3199-3207.
    PMID: 39342599 DOI: 10.31557/APJCP.2024.25.9.3199
    BACKGROUND: HER2-positive male breast cancer (MBC) is a rare condition that has a poor prognosis. The purpose of this study was to establish a nomogram model for predicting the prognosis of HER2-positive MBC patients.

    METHODS: 240 HER2-positive MBC patients from 2004 to 2015 were retrieved from the surveillance, epidemiology, and end results (SEER) database. All HER2-positive MBC patients were divided randomly into training (n = 144) and validation cohorts (n = 96) according to a ratio of 6:4. Univariate and multivariate Cox regression analyses were used to determine the prognostic factors associated with HER2-positive MBC patients. A clinical prediction model was constructed to predict the overall survival of these patients. The nomogram model was assessed by using receiver operating characteristics (ROC) curves, calibration plots and decision curve analysis (DCA).

    RESULTS: The Cox regression analysis showed that T-stage, M-stage, surgery and chemotherapy were independent risk factors for the prognosis of HER2-positive MBC patients. The model could also accurately predict the Overall survival (OS) of the patients. In the training and validation cohorts, the C indexes of the OS nomograms were 0.746 (0.677-0.815) and 0.754 (0.679-0.829), respectively. Calibration curves and DCA verified the reliability and accuracy of the clinical prediction model.

    CONCLUSION: In conclusion, the predictive model constructed had good clinical utility and can help the clinician to select appropriate treatment strategies for HER2-positive MBC patients.

    MeSH terms: Adult; Aged; Follow-Up Studies; Humans; Male; Middle Aged; Prognosis; ROC Curve; Biomarkers, Tumor/metabolism; Survival Rate; SEER Program; Nomograms*
  8. Shalan N, Jarrar Y, Nasser W, Al Zoubi S, Jarrar Q, Salahat MA, et al.
    Asian Pac J Cancer Prev, 2024 Sep 01;25(9):3311-3314.
    PMID: 39342611 DOI: 10.31557/APJCP.2024.25.9.3311
    BACKGROUND: Water-pipe smoking, popularly known as "hookah" or "shisha," is a widespread social activity in the Middle East, involving the use of a water-filtered device to vaporize flavored tobacco. A concerning trend has emerged as individuals add various drugs to the tobacco mixture, complicating the health implications.

    AIMS: This study aimed to explore the prevalence, demographic factors, and motivations behind drug mixing with tobacco in shisha among university students in Jordan.

    METHODS: In this descriptive cross-sectional study, a structured questionnaire was used to collect data on participants' demographics, shisha smoking habits, drug mixing practice and the motivations behind it. Four hundred and sixty-nine (469) students, aged 18-30 years, including medical and non-medical students, from two universities in Jordan participated in this study.

    RESULTS: Approximately 18% of participants reported mixing drugs with tobacco in shisha, with paracetamol being the predominant choice (80%). Motivations varied, with 42% seeking euphoric effects, 46% a relaxing experience, and 12% a sedative outcome. Males (73%) showed a higher frequency of drug mixing compared to females (27%). In addition, non-medical reported mixing drugs with the tobacco of water-pipe more than medical students.

    CONCLUSIONS: This study provides valuable insights into the complex phenomenon of drug mixing with tobacco in water-pipe smoking among university students in Jordan. The findings highlight the need for further research on clinical implications and interventions to address this emerging trend.

    MeSH terms: Adolescent; Adult; Cross-Sectional Studies; Female; Follow-Up Studies; Humans; Jordan/epidemiology; Male; Motivation; Surveys and Questionnaires; Universities; Prevalence; Young Adult
  9. Sthaneshwar P, Lai LC, Thambiah SC, Lim SK, Zulkely A, Lee LY, et al.
    Malays J Pathol, 2024 Dec;46(3):395-400.
    PMID: 39731488
    Chronic kidney disease (CKD) is a common clinical condition with significant health risks for patients and is widely recognised as a major public health concern. Laboratory medicine plays a crucial role in both diagnosing and managing CKD, as diagnosis and staging rely on estimated glomerular filtration rate (GFR) and evaluating albuminuria (or proteinuria). It was evident that the laboratory assessment of CKD in Malaysia is not standardised. In light of this, the Malaysian Association of Clinical Biochemistry CKD (MACB-CKD) Task Force issued a national recommendation for laboratory diagnosis of CKD in 2019. Recently, Kidney Disease: Improving Global Outcomes (KDIGO) updated its recommendations for the diagnosis, evaluation, management, and treatment of CKD. These guidelines incorporate the most recent evidence-based practices to support laboratory professionals in delivering optimal care for individuals with CKD, focusing on critical areas such as estimated GFR (eGFR), albuminuria assessment, and risk stratification. The latest National Institute for Health and Care Excellence (NICE) guidelines on CKD has also incorporated the Kidney Failure Risk Equation (KFRE) as a tool for predicting the likelihood of progression to end-stage kidney disease (ESKD) in CKD patients. Hence, the MACB-CKD Task Force has reviewed and updated its recommendations for laboratory reporting of eGFR and urine albumin in alignment with the latest guidelines.
    MeSH terms: Adult; Glomerular Filtration Rate*; Humans; Malaysia; Review Literature as Topic; Advisory Committees
  10. Sahmah NAA, Ling KMY, Abdullah Suhaimi SN, Md Pauzi SH, Wong YP, Tan GC
    Malays J Pathol, 2024 Dec;46(3):463-464.
    PMID: 39731496
    No abstract available.
    MeSH terms: Humans; Vascular Neoplasms/diagnosis; Vascular Neoplasms/pathology; Incidental Findings*
  11. Hsieh CC, Hou CY, Lei HY, Khumsupan D, Chai HJ, Lim PK, et al.
    J Food Drug Anal, 2024 Dec 15;32(4):532-543.
    PMID: 39752867 DOI: 10.38212/2224-6614.3509
    This study reveals the anti-tyrosinase activity of Ganoderma formosanum extracts, pinpointing compounds including gluconic acid, mesalamine, L-pyroglutamic acid, esculetin, 5-hydroxyindole, and salicylic acid, as effective melanin production inhibitors in melanoma cells and zebrafish embryos. Furthermore, multiple molecular docking simulations provided insights into interactions between the identified compounds and tyrosinase, increasing binding affinity up to -16.36 kcal/mol. The enhanced binding of identified compounds to tyrosinase facilitated synergistic inhibitory effects on melanin production. This study highlights the potential of GFE-EA as a source of natural tyrosinase inhibitors and contributes to understanding the role of active compounds extracted from G. formosanum.
    MeSH terms: Animals; Enzyme Inhibitors/pharmacology; Enzyme Inhibitors/chemistry; Humans; Melanoma/drug therapy; Melanoma/metabolism; Plant Extracts/pharmacology; Plant Extracts/chemistry; Zebrafish*; Cell Line, Tumor; Molecular Docking Simulation*
  12. Ahmad Zamri L, Abu Seman N, Zainal Abidin NA, Hamzah SS
    JMIR Res Protoc, 2024 Dec 30;13:e60838.
    PMID: 39753227 DOI: 10.2196/60838
    BACKGROUND: Obesity presents a growing challenge to public health, and its intricate association with genetics continues to be a compelling field of study. In countries such as Malaysia, where diverse genetic backgrounds converge, exploring the molecular genetics of obesity is even more imperative.

    OBJECTIVE: This scoping review aimed to explore the literature on molecular genetics of obesity in Malaysia. Specifically, we sought to characterize existing studies, identify the genetic determinants of obesity, and assess their association with obesity predisposition in the population.

    METHODS: This scoping review followed the methodology of the Joanna Briggs Institute and used the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) checklist as its guiding framework. Searches were conducted using electronic databases such as PubMed, ScienceDirect, and Scopus, filtering for human studies published until March 2024. Eligible studies included peer-reviewed articles on the Malaysian population irrespective of age or sex. This review excluded review articles, book chapters, non-peer-reviewed conference proceedings, gray literature, and preclinical studies, and the reference lists of the retrieved studies were manually examined to ensure thorough inclusion. The articles were subjected to a 2-stage screening process (title/abstract and full text) conducted by 2 reviewers to assess eligibility. Eligible articles were then extracted following a data extraction framework and organized into a charting table. Only studies investigating the genetics of obesity in Malaysian populations were included.

    RESULTS: As of March 2024, our extensive search strategy has yielded 572 records. After removing 153 duplicates, 419 records were screened by title and abstract, resulting in 47 selected for full-text review. Of these, 34 were chosen for data extraction and detailed analysis. These studies predominantly involved participants from major ethnic groups (Malay, Chinese, and Indian) recruited from local health centers and university communities. The articles primarily explored the relationship between specific gene variants and obesity or obesity-related health parameters. This ongoing research is expected to be completed with a comprehensive scoping review by April 2025.

    CONCLUSIONS: This review provides valuable insights into the genetic determinants of obesity in Malaysia, despite limitations such as no quality appraisal being conducted for the included studies and the search strategy being restricted to selected databases, potentially omitting relevant studies. However, this review ensured reliability and reproducibility by adhering to the Joanna Briggs Institute and PRISMA-ScR guidelines. Ultimately, this study advances the understanding of local research and sets the foundation for future molecular genetic studies to improve obesity risk prediction and management in Malaysia's multiethnic population.

    INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/60838.

    MeSH terms: Humans; Malaysia/epidemiology; Genetic Predisposition to Disease
  13. Dayoob M, Kee YWY, Bahrin WH, Alrimawi BH, Kumarasamy V, Subramaniyan V, et al.
    J Vis Exp, 2024 Dec 13.
    PMID: 39760405 DOI: 10.3791/67068
    A new fusidic acid-loaded hydrogel film was prepared via the solvent casting technique using alginate and Aloe vera. The hydrogel films were optimized using different ratios of sodium alginate, Aloe vera, and glycerin. The films containing 10% glycerin (w/w of alginate) exhibited the best appearance. Incorporating Aloe vera influenced the thickness, swelling behavior, water vapor permeability, and drug release profile of the hydrogel films. Higher Aloe vera content resulted in thicker films (up to a certain ratio), increased swelling, reduced water vapor permeability, and a prolonged drug release of up to 93% over 12 h. Fourier-transform infrared spectroscopy (FTIR) analysis confirmed the presence of key functional groups and the interaction between the hydrogel components. The study suggests that the combination of sodium alginate, Aloe vera, and glycerin can improve the mechanical properties and drug release profiles of hydrogel films, making them a promising option for enhanced topical drug delivery and wound healing applications.
    MeSH terms: Anti-Bacterial Agents/administration & dosage; Anti-Bacterial Agents/pharmacokinetics; Anti-Bacterial Agents/chemistry; Glycerol/chemistry; Hexuronic Acids/chemistry; Methylgalactosides; Hydrogels/chemistry; Glucuronic Acid/chemistry
  14. Shigematsu H, Yasuda A, Tangente R, Chan CYW, Shetty AP, Cheung JPY, et al.
    Asian Spine J, 2024 Dec;18(6):813-821.
    PMID: 39763357 DOI: 10.31616/asj.2024.0273
    STUDY DESIGN: A prospective web-based survey.

    PURPOSE: Although intraoperative neurophysiological monitoring (IONM) is critical in spine surgery, its usage is largely based on the surgeon's discretion, and studies on its usage trends in Asia-Pacific countries are lacking. This study aimed to examine current trends in IONM usage in Asia-Pacific countries.

    OVERVIEW OF LITERATURE: IONM is an important tool for minimizing neurological complications and detecting spinal cord injuries after spine surgery. IONM can be performed using several modalities, such as transcranial electrical stimulation-muscle evoked potentials (Tc-MEP) and somatosensory evoked potentials (SEP).

    METHODS: Spine surgeons of the Asia-Pacific Spine Society were asked to respond to a web-based survey on IONM. The questionnaire covered various aspects of IONM, including its common modality, Tc-MEP details, necessities for consistent use, and recommended modalities in major spine surgeries and representative surgical procedures.

    RESULTS: Responses were received from 193 of 626 spine surgeons. Among these respondents, 177 used IONM routinely. Among these 177 respondents, 17 mainly used SEP, whereas the majority favored Tc-MEPs. Although a >50% decrease is the commonly used alarm point in Tc-MEP, half of the Tc-MEP users had no protocols planned for such scenarios. Moreover, half of the Tc-MEP users experienced complications, with bite injuries being the most common. Most respondents strongly recommended IONM in deformity surgery for pediatric and adult populations and tumor resection surgery for intramedullary spinal cord tumors. Conversely, IONM was the least recommended in lumbar spinal canal stenosis surgery.

    CONCLUSIONS: Spine surgeons in Asia-Pacific countries favored IONM use, indicating widespread routine utilization. Tc-MEP was the predominant modality for IONM, followed by SEPs.

  15. Ariffin RA, Ismail J, Abd Rahman FN, Wan Ismail WS, Ahmad N, Abdul Ghafar A, et al.
    Front Pediatr, 2024;12:1384292.
    PMID: 39764164 DOI: 10.3389/fped.2024.1384292
    INTRODUCTION: Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental condition diagnosed clinically based on phenotypic characteristics and criteria such as the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). Due to its significant social, emotional, and psychological impacts, early identification and diagnosis are crucial for starting early intervention and improving outcomes. A screening tool is imperative in identifying young children at risk so timely intervention can be instituted. The Modified Checklist for Autism in Toddlers, Revised with Follow-up (M-CHAT-R/F) is a reliable and valid screening tool used worldwide, with the previous iteration used for a long time in Malaysia. To enhance ASD screening in Malaysia, the latest version of M-CHAT-R/F was translated into Malay and evaluated for reliability and validity, as majority of the population speaks Malay, while the tool is originally in English. This study is a cross-sectional study performed in the Universiti Kebangsaan Malaysia (UKM) hospitals, between May 1st, 2020, to June 30th, 2022.

    METHODOLOGY: The English version of the M-CHAT-R/F was translated into Malay using forward and backward translation methods. Content and face validity were ascertained and a pilot study was performed for internal reliability. A total of 244 children attending clinics and wards in UKM hospitals aged 16-30 months were recruited based on three categories: children with typical development, suspected cases, and established cases of ASD. All caregivers of the recruited children were asked to complete the Malay M-CHAT-R/F. Reliability and validation assessments were performed.

    RESULTS: Malay M-CHAT-R/F was found to be a reliable tool with good internal consistency (Cronbach's alpha = 0.906, p < 0.001). The Receiver Operating Characteristic (ROC) curve showed that cut-off scores of 2 on Malay M-CHAT-R/F lead to successful ASD classification with Area Under the Curve (AUC) = 0.887, p < 0.001 with a 95% CI (0.840, 0.933).

    DISCUSSION: The assessment of the Malay M-CHAT-R/F showed satisfactory psychometric properties. Based on this study, the Malay M-CHAT-R/F is a reliable and valid screening tool to screen for ASD in children aged 16-30 months. Translating the M-CHAT-R/F into Malay is expected to improve community outreach and screening, which is essential for early diagnosis and timely intervention for children with ASD in Malaysia.

  16. Lee FC, Yeap WC, Kee SY, Kulaveerasingam H, Ross Appleton D
    Front Plant Sci, 2024;15:1497017.
    PMID: 39764238 DOI: 10.3389/fpls.2024.1497017
    Oil palm (Elaeis guineensis) yield is impacted by abiotic stresses, leading to significant economic losses. To understand the core abiotic stress transcriptome (CAST) of oil palm, we performed RNA-Seq analyses of oil palm leaves subjected to drought, salinity, waterlogging, heat, and cold stresses. A total of 19,834 differentially expressed genes (DEGs) were identified. Cold treatment induced the highest number of DEGs (5,300), followed by heat (4,114), drought (3,751), waterlogging (3,573), and, lastly, salinity (3096) stress. Subsequent analysis revealed the CAST of oil palm, comprising 588 DEGs commonly expressed under drought, salinity, waterlogging, heat, and cold stress conditions. Function annotation of these DEGs suggests their roles in signal transduction, transcription regulation, and abiotic stress responses including synthesis of osmolytes, secondary metabolites, and molecular chaperones. Moreover, we identified core DEGs encoding kinases, ERF, NAC TFs, heat shock proteins, E3 ubiquitin-protein ligase, terpineol synthase, and cytochrome P450. These core DEGs may be potential key modulators that interplay in triggering rapid abiotic stress responses to achieve delicate equilibrium between productivity and adaptation to abiotic stresses. This comprehensive study provides insights into the key modulators in the CAST of oil palm, and their potential applications as markers for selecting climate-resilient oil palms or opportunities to develop future climate resilient oil palm using genome editing.
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