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  1. Alhasyimi AA, Indra P, Setijanto RD, Tajudin AM, Noviasari P, Rosanto YB
    Int J Surg Case Rep, 2024 May;118:109620.
    PMID: 38615467 DOI: 10.1016/j.ijscr.2024.109620
    INTRODUCTION: Maxillary anterior teeth that have not erupted may substantially alter the appearance of the teeth and face. Orthodontists often encounter a clinical challenge while dealing with an impacted maxillary incisor, which creates space problems in the anterior region. The purpose of this paper is to describe the well-synchronized orthodontic and surgical treatment of a horizontally impacted maxillary central incisors.

    CASE PRESENTATION: A male patient, aged 27, presented with a complaint of unerupted two maxillary front teeth. This resulted in the displacement of adjacent teeth into the vacant region. An intraoral examination revealed a Class II molars on both sides, a deep curve of the space with a 2.3 mm overjet, and an edge-to-edge bite of 0.1 mm. The 3D cone beam computed tomography (CBCT) imaging unveiled a labial impacted and a rotation of approximately 90 degrees (horizontal impacted) on both central maxillary incisors.

    DISCUSSION: The self-ligating bracket was installed and orthodontic traction aligned the affected tooth in the dental arch. To reach the labial surface of the impacted incisor, open surgical exposure by window excision of soft tissues with a laser was preferable due to the large bulge in the sulcus. Because self-ligating bracket systems employed modest pressures to position the maxillary right central incisor in the arch, the window surgical technique did not produce gingival scarring or increased clinical crown length.

    CONCLUSION: The impacted upper central incisor was successfully treated using a collaborative interdisciplinary (surgical-orthodontic) approach, which resulted in a favorable aesthetic and functional outcome.

  2. Mohd-Qawiem F, Nur-Mahiza MI, Ahmad NI, Yasmin AR, Nur-Fazila SH
    J Vet Sci, 2024 Nov;25(6):e81.
    PMID: 39608775 DOI: 10.4142/jvs.24098
    IMPORTANCE: Rodents, particularly those inhabiting urban areas, are sources of infections that cause major human diseases. The number of recorded zoonotic infections has increased in recent decades, exacerbating public concerns. Zoonotic diseases in humans, such as capillariasis, hymenolepiasis, and toxoplasmosis, are life-threatening in severe cases, particularly in immunocompromised individuals. A thorough understanding of pathogens, particularly the parasites infecting rodents, is critical for predicting future zoonotic disease outbreaks and developing effective mitigation strategies. This review summarizes the information on parasites in rodents inhabiting Malaysia to identify the knowledge gaps that could serve as a foundation for future research.

    OBSERVATIONS: Thirty-eight previous parasite studies in rodents conducted in Malaysia were reviewed, and 44 ectoparasites species and 58 endoparasites species across 19 rodent species were revealed. Six ectoparasite and eight endoparasite species were identified as zoonotic among these parasites. Morphological identification of parasite species typically succeeded only at the genus level because of their identical morphological characteristics. However, these studies used a molecular approach to identify parasites at the species level using species-specific primers. The pathological findings of various organs of infected rodents were also summarized, including gross and histological lesions exhibited by parasites.

    CONCLUSIONS AND RELEVANCE: This review highlights the list of parasites infecting rodents in Malaysia, provides information on the molecular and pathological findings from previous studies, and identifies some of the limitations and knowledge gaps that suggest future research to address the issues, including the paucity of information on blood parasites, molecular, and histopathological studies of parasites in rodents.

  3. Saminathan M, Fuat MA, Mohamed WNW, Noh 'M, Ibrahim NA
    Trop Anim Health Prod, 2024 Oct 02;56(8):312.
    PMID: 39354119 DOI: 10.1007/s11250-024-04105-9
    This study aimed to evaluate the effects of substituting a crude palm oil (CPO) diet with palm-pressed fibre oil (PPFO) on laying hens' performance, egg production, carcass characteristic and egg quality. A total of 150 Hisex Brown laying hens were randomly assigned to five treatments: a basal diet containing 4% CPO (T1-control) and basal diets in which CPO was substituted by 25% (T2), 50% (T3), 75% (T4) or 100% (T5) PPFO. These diets were fed to laying hens ad libitum for 16 weeks. Compared to the T1 diet, dietary treatments T2, T3 and T4 had no significant effect (P > 0.05) on the feed intake, body weight gain, feed conversion ratio, egg number, egg production, egg weight and egg mass of the laying hens during the entire experimental period. Nonetheless, a significant (P 
  4. Agina OA, Shaari MR, Isa NMM, Ajat M, Zamri-Saad M, Hamzah H
    Trop Anim Health Prod, 2024 Sep 24;56(8):277.
    PMID: 39316238 DOI: 10.1007/s11250-024-04138-0
    The bovine leukocyte antigen (BoLA) gene is a significant genetic part of the immune system and has been used as a disease marker in cattle. In this study, we detected Theileria orientalis, T. sinensis, Anaplasma marginale, Anaplasma platys, Candidatus Mycoplasma haemobos and Trypanosoma evansi by PCR amplification and sequencing of the amplicons. The allelic association of the BoLA-DRB3.2 gene with blood pathogen disease resistance and susceptibility in 87 Kedah-Kelantan x Brahman (KKB) and 38 Bali cattle was determined by Fisher's exact test and Cochran Mantel Haenszel (CMH) correction test. Sequence-based typing of the BoLA-DRB3.2 gene identified 43 alleles (27 previously reported alleles and 16 novel alleles) across the two cattle breeds. Alignment analysis of the 16 novel alleles revealed 90.7-95.8% and 85-92% nucleotide and amino acid identities, with the reference allele, BoLA-DRB3*016:01 cDNA clone NR-1. BoLA-DRB3*009:02 (25.6%) and BoLA-DRB3*036:01 (36%) were the most frequent alleles in KKB and Bali cattle, respectively. In KKB cattle, BoLA-DRB3*020:02:01 was significantly associated with resistance to T. orientalis whereas *007:01 and *009:02 were significantly associated with resistance to C. Mycoplasma haemobos. Also, DRB3*017:01 was associated with susceptibility to T. orientalis in KKB cattle. In the Bali cattle, BoLA-DRB3*015:01 was found to be a genetic marker of susceptibility to C. Mycoplasma haemobos infection. Therefore, this study identified BoLA-DRB3.2 alleles associated with resistance and susceptibility to T. orientalis infection in KKB cattle and susceptibility to C. Mycoplasma haemobos infection in Bali cattle for the first time. Therefore, this study suggests that these BoLA-DRB3 resistance alleles could be used as candidate markers for selection, whereas susceptibility alleles could be used as candidate markers for culling in the beef industry.
  5. Kalafi EY, Nor NAM, Taib NA, Ganggayah MD, Town C, Dhillon SK
    Folia Biol (Praha), 2019;65(5-6):212-220.
    PMID: 32362304
    Breast cancer survival prediction can have an extreme effect on selection of best treatment protocols. Many approaches such as statistical or machine learning models have been employed to predict the survival prospects of patients, but newer algorithms such as deep learning can be tested with the aim of improving the models and prediction accuracy. In this study, we used machine learning and deep learning approaches to predict breast cancer survival in 4,902 patient records from the University of Malaya Medical Centre Breast Cancer Registry. The results indicated that the multilayer perceptron (MLP), random forest (RF) and decision tree (DT) classifiers could predict survivorship, respectively, with 88.2 %, 83.3 % and 82.5 % accuracy in the tested samples. Support vector machine (SVM) came out to be lower with 80.5 %. In this study, tumour size turned out to be the most important feature for breast cancer survivability prediction. Both deep learning and machine learning methods produce desirable prediction accuracy, but other factors such as parameter configurations and data transformations affect the accuracy of the predictive model.
  6. Hassanlue S, Mukhtar A, Yasir ASHM, Eldin SM, A Nazari M, Ahmadi MH, et al.
    Heliyon, 2024 Mar 15;10(5):e26797.
    PMID: 39669487 DOI: 10.1016/j.heliyon.2024.e26797
    Exhaust gases from the smelting furnace have high temperature and mass flow rate, and there is huge potential to use them for energy-related purposes such as electricity generation, cooling and heating. Utilization of the gases for energy-related purposes would lead to fuel savings and emissions reduction. To use this potential, it is necessary to design proper systems and cycles and apply a heat recovery unit. Several technologies are useable for heat recovery depending on the characteristics of exhaust gases, such as their mass flow rate, temperature and compositions. Due to the higher potential of combined heating, cooling and power (CCHP) generation systems compared with the systems with a single output, a CCHP is designed and investigated in the present study by consideration of the specifications of the exhaust gases. The applied system in this study comprises a Supercritical CO2 (SCO2) cycle, heat exchanger and single-stage absorption chiller for simultaneous heating, cooling and power production. Engineering Equation Solver (EES) is employed to model the proposed system by considering the properties of the flows and characteristics of the components. To get deep insight into the effective parameters on the outputs of the designed system, the impact of three factors, namely the mass flow rate of the gases, the effectiveness of heat exchanger and temperature of exhaust gases, are analyzed and investigated by the implementation of sensitivity analysis. As one of the main conclusions, it is found that an increment in the mass flow rate of exhaust gases from 30 kg/s to 70 kg/s causes augmentation in the power generation from 2037 kW to 4754 kW. Furthermore, exergy analysis is carried out, and it is found that an increase in the temperature or mass flow rate of exhaust gases or a decrease in the effectiveness of heat exchangers would lead to decrement in the exergy efficiency of the system. According to the performed sensitivity analysis, the mass flow rate of exhaust gases has the most remarkable influence on the heating and cycle-generated power among the considered factors.
  7. Johansyah MD, Sambas A, Zheng S, Qureshi S, Abed-Elhameed TM, Vaidyanathan S
    Heliyon, 2024 Aug 15;10(15):e34703.
    PMID: 39687899 DOI: 10.1016/j.heliyon.2024.e34703
    Supply Chain Management (SCM) is a critical business function that involves the planning, coordination, and control of the flow of goods, information, and finances as they move from the manufacturer to the wholesaler to the retailer and finally to the end customer. SCM is a holistic approach to managing the entire process of delivering products or services to consumers. In this study, we will enhance the findings as outlined in Anne et al. (2009). While certain attributes of these systems will have been investigated, numerous aspects of these systems will still require further scrutiny. This calls for additional research studies on these systems. This paper examines a Fractional-Order Supply Chain Management (FOSCM) model utilizing the Adomian Decomposition Method (ADM) and explores qualitative aspects through an approach that addresses existence and uniqueness. By using Arzelà-Ascoli's principle, this system proves that the Caputo FOSCM model has at least one solution. Furthermore, we investigate the dynamics of the system by using the Lyapunov Exponent (LE), Bifurcation Diagram (BD), Complexity Analysis (CA) and 0-1 test. Finally, we introduce the control for FOSCM model using the Linear Feedback Control (LFC) method. We verify the correctness of our analysis by using numerical simulations.
  8. Wang Y, Abd Rahman AH, Nor Rashid F', Razali MKM
    Sensors (Basel), 2024 Dec 09;24(23).
    PMID: 39686392 DOI: 10.3390/s24237855
    Object detection is an essential computer vision task that identifies and locates objects within images or videos and is crucial for applications such as autonomous driving, robotics, and augmented reality. Light Detection and Ranging (LiDAR) and camera sensors are widely used for reliable object detection. These sensors produce heterogeneous data due to differences in data format, spatial resolution, and environmental responsiveness. Existing review articles on object detection predominantly focus on the statistical analysis of fusion algorithms, often overlooking the complexities of aligning data from these distinct modalities, especially dynamic environment data alignment. This paper addresses the challenges of heterogeneous LiDAR-camera alignment in dynamic environments by surveying over 20 alignment methods for three-dimensional (3D) object detection, focusing on research published between 2019 and 2024. This study introduces the core concepts of multimodal 3D object detection, emphasizing the importance of integrating data from different sensor modalities for accurate object recognition in dynamic environments. The survey then delves into a detailed comparison of recent heterogeneous alignment methods, analyzing critical approaches found in the literature, and identifying their strengths and limitations. A classification of methods for aligning heterogeneous data in 3D object detection is presented. This paper also highlights the critical challenges in aligning multimodal data, including dynamic environments, sensor fusion, scalability, and real-time processing. These limitations are thoroughly discussed, and potential future research directions are proposed to address current gaps and advance the state-of-the-art. By summarizing the latest advancements and highlighting open challenges, this survey aims to stimulate further research and innovation in heterogeneous alignment methods for multimodal 3D object detection, thereby pushing the boundaries of what is currently achievable in this rapidly evolving domain.
  9. Suhaizan FS, Mohd Taib A, Taha MR, Hasbollah DZA, Ibrahim A, Dan MFM, et al.
    PLoS One, 2025;20(1):e0316488.
    PMID: 39792898 DOI: 10.1371/journal.pone.0316488
    Rainfall-induced landslides are a frequent geohazard for tropical regions with prevalent residual soils and year-round rainy seasons. The water infiltration into unsaturated soil can be analyzed using the soil-water characteristic curve (SWCC) and permeability function which can be used to monitor and predict incoming landslides, showing the necessity of selecting the appropriate model parameter while fitting the SWCC model. This paper presents a set of data from six different sections of the studied slope at varying depths that are used to test the performance of three SWCC models, the van Genuchten-Mualem (vG-M), Fredlund-Xing (F-X) and Gardner (G). The dataset is obtained from field monitoring of the studied slope, over a duration of 6 months. The study discovered that the van Genuchten-Mualem model provided the best estimation based on RMSE and evaluation metric, R2 followed by Fredlund and Xing, and Gardner, however, the difference between them is minor. The R2 obtained varies as the value at the crest with 1.0 m depth has a mean of 0.44, the lowest among the overall data fitted but it also has the best RMSE value with a mean of 0.00473. Whereas the location mid-section at a depth of 1.0 m has the highest R2 with a mean of 0.97, and an average value of RMSE of 0.0145 which is the middle of the group that was fitted. This indicates that R2 measurement for model performance relies highly on the dispersion of the variables collected. The dispersion of the data set is mainly due to the sensors' inability to detect effectively at exceedingly high matric suction and zero matric suction. The investment in improving the equipment's precision will boost reliability and reduce the number of assumptions as the data is collected from the site rather than laboratory testing.
  10. Khan AJ, Riyadh SR, Alam MK, Ahmad MS, Sabri BAM, Iqbal A
    PMID: 39794657 DOI: 10.1007/s40368-024-00982-8
    PURPOSE: People with sensory impairments (SI) face unique challenges in out-of-home care, especially in oral health (OH) care, compared to the general population. Various assistive technologies (ATs) and media are used to influence OH behaviors and outcomes for individuals with SI. This systematic review (SR) aimed to identify the types of ATs and assess their effectiveness for individuals with SI.

    METHODS: A comprehensive search strategy was applied across Scopus, PubMed, Cochrane Library, ProQuest, and Scopus databases, using expert-validated keywords, with manual searches for relevant articles published from June 2013 to June 2023. The SR followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. Eligible studies focused on the use of ATs as OH education tools for individuals with SI and assessed their impact on OH behavior and status.

    RESULTS: Eighteen of the 1298 identified studies were included in the data synthesis. ATs, such as images, software, multimedia, audio, video, audio-tactile performance, and combination methods, were effective for OH care in individuals with SI. However, this SR limitations include study heterogeneity in sample sizes, intervention types, and outcomes, as well as the exclusion of non-English studies.

    CONCLUSIONS: Oral health education using a combination of video training and audio-tactile performance is particularly effective for individuals with SI, engaging multiple senses for learning. Future research should focus on standardizing methodologies and incorporating larger sample sizes to enhance the efficacy of these technologies in improving OH care for individuals with SI. PROSPERO REG. NO.: CRD42023485523.

  11. Abu Hasan NI, Ganggayah MD, Suhaimi S, Abu Hasan N, Jamal NF
    Malays J Med Sci, 2023 Dec;30(6):91-107.
    PMID: 38239247 DOI: 10.21315/mjms2023.30.6.10
    BACKGROUND: Online distance learning (ODL) known as the flexible learning environment can trigger a negative impact on students' mental health. The study aimed to identify the influence of fear as mediator between mental health problem and university students' perception on ODL.

    METHODS: This is a cross-sectional study involving a convenient sampling of 258 undergraduate students. Self-administered structured questionnaires adapted from the Depression, Anxiety and Stress Scale-21 (DASS-21) and the Fear of COVID-19 Scale (FCV-19S), were used to assess the severity of psychological symptoms (depression, anxiety and stress) and fear. The perception towards ODL is also designed to assess the students' perception related to ODL implementation. The data were analysed using descriptive statistics and Structural Equation Modelling-Partial Least Square (SEM-PLS).

    RESULTS: Overall, 84.2%, 95.0% and 67.4% of the participants experienced moderate to very severe level of depression, anxiety and stress, respectively. In addition, 82.6% of them suffering with moderate to extreme level of fear, of which 81.8% of participants had a negative view on ODL. The results of SEM-PLS revealed that there are complementary partial mediation effects of fear on the relationship between depression and students' perception during ODL (β = 0.502, t-value = 0.828, P-value = 0.017). The anxiety (β = 0.353, t-value = 5.401, P-value = 0.000) and stress (β = 0.542, t-value = 8.433, P-value = 0.000) have directly influenced on fear.

    CONCLUSION: This study demonstrated that university students had the prevalence of psychological symptoms and fear during ODL. In line with this, fear contributes significantly to the mental health status of university students and has negatively impacted the students' perception during ODL implementation.

  12. Mokhtar AH, Zin RMWM, Yahya A, Zain FM, Selamat R, Ishak Z, et al.
    BMC Public Health, 2025 Jan 10;24(Suppl 1):3626.
    PMID: 39794750 DOI: 10.1186/s12889-024-20726-z
    BACKGROUND: Childhood obesity has increased rapidly in recent years and is now a global epidemic. To combat this, MyBFF@school program, a multi-faceted obesity intervention incorporating physical activity in the form of small-sided games (SSG), nutrition, and psychology components for schoolchildren was designed. This paper is aimed at describing the protocol of the MyBFF@school program and presenting the baseline findings including the overweight and obesity prevalence.

    METHODS: MyBFF@school is a school-based, cluster randomized controlled trial (C-RCT) study. The investigators selected government schools from Federal Territory of Kuala Lumpur, Selangor and Negeri Sembilan by stratified proportionate random sampling based on the multi-ethnic population and the urban-rural location of schools. Subsequently, the schools were assigned randomly to intervention and control groups. The intervention schools underwent MyBFF@school program, whereas the control followed standard school curriculum for a duration of six months. The intervention modules replaced the existing two physical education classes and one co-curriculum activity per week. Three assessments i.e. at baseline, month-3 and month-6 were conducted. Anthropometric, clinical examination, blood, physical fitness, nutrition, and psychology parameters were collected.

    RESULTS: Twenty-three out of 1,196 primary schools (seven interventions and 16 controls) and 15 out of 416 secondary schools (six interventions and nine controls). The investigators screened 11,950 primary (age 9-11 years) and 10,866 secondary (age 13, 14, 16 years) schoolchildren. The investigators found 3,516 primary schoolchildren (29.4%) and 2,910 secondary schoolchildren (26.8%) had BMI z-score of more than + 1SD who were eligible for the study. Of these, 39.7% (N = 1397) of the primary and 35.8% (N = 1041) of the secondary schoolchildren agreed to participate in the study. The mean (SD) characteristics for the participating primary and secondary schoolchildren were: BMI z-score, + 2.29 (± 0.81) and + 2.10 (± 0.71); waist circumference, 75.06 (± 9.6) cm and 85.5 (± 10.9) cm; percentage body fat, 37.8% (± 6.5%) and 39.2% (± 7.3%); and muscle mass, 14.7 (± 2.9) and 23.1 (± 5.2) kg respectively.

    CONCLUSION: MyBFF@school program, a school-based multi-pronged intervention was designed to combat childhood obesity. Screening of 22,816 primary and secondary schoolchildren found 29.4% of primary schoolchildren and 26.8% of secondary schoolchildren to be overweight and obese which reflected the urgency for an effective intervention.

    TRIAL REGISTRATION: Clinical trial number: NCT04155255, November 7, 2019 (Retrospective registered). National Medical Research Register: NMRR-13-439-16563. Registered July 23, 2013. The intervention program was approved by the Medical Research and Ethics Committee (MREC), Ministry of Health Malaysia and Educational Planning and Research Division (EPRD), Ministry of Education Malaysia. It was funded by the Ministry of Health Malaysia.

  13. Junaidi NSSA, Shakrin NNSM, Desa MNM, Yunus WMZW
    Malays J Med Sci, 2023 Apr;30(2):26-41.
    PMID: 37102054 DOI: 10.21315/mjms2023.30.2.3
    The global emergence of methicillin-resistant Staphylococcus aureus (MRSA) that unsusceptible to a wide selection of antimicrobial agents and any newly introduced antimicrobial over the past decades has triggered more extensive holistic measures to put an end to this situation. Molecular surveillance of MRSA clones is important to understand their evolutionary dynamics for investigating outbreaks, propagating precautionary measures, as well as planning for appropriate treatment. This review includes peer-reviewed reports on the molecular characterisation of clinical Staphylococcus aureus isolates within Malaysian hospitals from year 2008 to 2020. This work highlights the molecular clones of hospital-acquired MRSA (HA-MRSA) and community-acquired MRSA (CA-MRSA) isolates from Malaysian hospitals, with description on their ever-changing pattern. Among HA-MRSA, the ST22-t032-SCCmec IV MRSA clone was reported to supplant the previous dominating clone, ST239-t037-SCCmec III. Meanwhile, ST30, ST772, ST6 and ST22 were repeatedly detected in CA-MRSA, however, none of the strains became predominant. Future in-depth study on molecular epidemiology of MRSA clone is essential for the investigation of the extent of the clonal shift, especially in Malaysia.
  14. Amin MS, Reaz MB, Nasir SS, Bhuiyan MA, Ali MA
    ScientificWorldJournal, 2014;2014:597180.
    PMID: 25276855 DOI: 10.1155/2014/597180
    Precise navigation is a vital need for many modern vehicular applications. The global positioning system (GPS) cannot provide continuous navigation information in urban areas. The widely used inertial navigation system (INS) can provide full vehicle state at high rates. However, the accuracy diverges quickly in low cost microelectromechanical systems (MEMS) based INS due to bias, drift, noise, and other errors. These errors can be corrected in a stationary state. But detecting stationary state is a challenging task. A novel stationary state detection technique from the variation of acceleration, heading, and pitch and roll of an attitude heading reference system (AHRS) built from the inertial measurement unit (IMU) sensors is proposed. Besides, the map matching (MM) algorithm detects the intersections where the vehicle is likely to stop. Combining these two results, the stationary state is detected with a smaller timing window of 3 s. A longer timing window of 5 s is used when the stationary state is detected only from the AHRS. The experimental results show that the stationary state is correctly identified and the position error is reduced to 90% and outperforms previously reported work. The proposed algorithm would help to reduce INS errors and enhance the performance of the navigation system.
  15. Gökalp A, Üztemur S, Huang PC, Kartol A, Tsai HC, Dinç E, et al.
    Brain Behav, 2025 Jan;15(1):e70275.
    PMID: 39789859 DOI: 10.1002/brb3.70275
    BACKGROUND: In today's post-truth times, where personal feelings and beliefs have become increasingly important, determining what is accurate knowledge has become an important skill. This is especially important during uncertainty crises (e.g., epidemics and pandemics) because alternative explanations other than scientific knowledge may be disseminated vigorously. Epistemic justification concerns how and in what way the truth of knowledge claims is justified and the criteria for knowledge to be true and/or a fact. Given this backdrop, the present study examined how individuals reacted to conspiracies in an uncertainty crisis (using the COVID-19 pandemic as an example).

    AIM: The mediating role of epistemic justification was investigated regarding its relationship between COVID-19 conspiracy beliefs and COVID-19 vaccine conspiracy beliefs.

    METHODS: A cross-sectional study was conducted incorporating a multifactorial correlational design. Using convenience sampling, 690 participants (55.7% females, Mage = 32.24 years, SD = 9.75) from different regions of Türkiye completed an online survey via Google Forms.

    RESULTS: The results demonstrated a strong and statistically significant correlation between beliefs in COVID-19 conspiracy theories and beliefs in COVID-19 vaccination conspiracy theories. The mediating effects of justification by authority and personal justification were statistically significant between COVID-19 conspiracy beliefs and COVID-19 vaccine conspiracy theories.

    CONCLUSION: Using the COVID-19 pandemic as an example, the present results indicated the complex relationships between conspiracy beliefs and epistemic justification. The present results indicate the importance of authorities in taking early action to provide scientific evidence and information to the public to avoid individuals believing false information.

  16. Zohdi RM, Adli MA, Mukhtar SM, Awang Junaidi AH, Bakar MZA
    J Taibah Univ Med Sci, 2024 Dec;19(6):1181-1192.
    PMID: 39807375 DOI: 10.1016/j.jtumed.2024.12.008
    OBJECTIVE: Concerns over the increasing number of obese individuals and the associated health risks have prompted therapeutic option explorations. Similarly, this study aimed to establish Sygyzium claviflorum fruit extract (SCFE) anti-adipogenic attributes in 3T3-L1 cells.

    METHODS: The polyphenolic compounds in SCFE were identified with Reverse phase-high performance liquid chromatography (RP-HPLC). Meanwhile, murine 3T3-L1 preadipocytes, measuring leptin levels, reactive oxygen species (ROS), and lipid and triglyceride (TG) contents were utilized during anti-adipogenic activity assessments. Concurrently, the effects of SCFE on adipogenic transcription factors were established with quantitative real-time-polymerase chain reaction (qRT-PCR).

    RESULTS: The RP-HPLC results indicated three polyphenolic compounds in SCFE, including one flavonoid (naringin) and two phenolic acids (syringic and p-coumaric). Although SCFE treatments (250-1000 μg/mL) did not result in cell toxicity, they significantly reduced dose-dependent lipid accumulation, ROS production, and TG and leptin levels relative to control-differentiated adipocytes. Moreover, SCFE suppressed sterol regulatory element binding protein-1 (SREBP-1), peroxisome proliferator-activated receptor-gamma (PPAR-γ), and CCAAT/enhancer-binding protein-alpha (C/EBP-α) gene expressions during preadipocyte differentiation into adipocytes.

    CONCLUSION: The findings revealed the anti-adipogenic properties of SCFE, indicating its potential as a natural obesity management remedy. Nevertheless, more studies are necessary to elucidate the reactions resulting in SCFE anti-adipogenic effects and the active constituents responsible for the property.

  17. Ting CH, Rahman MM, Chen YY, Safii R, Puteh SE, Saimon R, et al.
    Narra J, 2024 Dec;4(3):e1431.
    PMID: 39816059 DOI: 10.52225/narra.v4i3.1431
    Down syndrome is the most prevalent genetic condition contributing to intellectual disability. Advancements in medical care have significantly increased the life expectancy of people with this condition, making employment a vital component for independent living and quality of life. The aim of this study was to examine the current literature on the employability and employment experiences of individuals with Down syndrome, focusing on the evolution of the employment rate and factors influencing employment such as cognitive and personal factors, societal attitudes, challenges, and effective support systems. Using Arksey and O'Malley's methodology, a scoping review of relevant qualitative and quantitative articles from PubMed, Scopus, Web of Science (WoS), CINAHL, and Medline was conducted. The search focused on the keywords found in the title and abstract of articles from 1980 to 2023. The search strategy utilized medical subject headings (MeSH), including "work", "Down syndrome", and "employment". All articles employing qualitative, quantitative, and mixed methods that were published in English were included. Of an initial 4,296 articles, 32 full-text articles were evaluated, and nine met the inclusion criteria. The data indicated improved employment rates for people with Down syndrome, with a recent employment rate of 53%. However, jobs are often limited to sectors like food service and are underutilizing their skills. Key factors associated with employment status include cognitive abilities, family support, and social attitudes. Despite positive perceptions, significant barriers such as systemic bias persist. Effective support systems are crucial but are often hindered by limited opportunities. In conclusion, employment opportunities for people with Down syndrome have improved, but challenges such as limited job diversity and systemic barriers remain. Comprehensive policies are recommended to promote inclusive employment practices and tailored support systems.
  18. Islam MJ, Muntaha S, Masum MM, Nowshin S, Salam S, Haque M, et al.
    Asian Pac J Cancer Prev, 2024 Dec 01;25(12):4447-4455.
    PMID: 39733438 DOI: 10.31557/APJCP.2024.25.12.4447
    OBJECTIVE: This study investigated the potential anticancer properties of Myo-inositol on the DU-145 prostate cancer cell line.

    METHODS: The DU-145 cells have been treated to different doses of Myo-inositol in order to ascertain the half-maximal inhibitory concentration (IC50) using the trypan blue exclusion assay. The impact of Myo-inositol on proteomic profiles was evaluated using 2D gel electrophoresis and liquid chromatography-mass spectrometry (LC-MS).

    RESULTS: Myo-inositol significantly reduced DU-145 cell viability with an IC50 of 0.06 mg/ml (p<0.05). Proteomic analysis highlighted marked differences in protein expression between treated and untreated cells, particularly in proteins related to cytoskeletal regulation, apoptosis, and stress response. LC-MS further identified significant alterations in protein profiles, with suppression of proteins like Annexin A2 and Cofilin-1-A in controls, and upregulation of proteins such as Rho GTPase-activating protein, Apoptotic protease-activating factor 1 (APAF1), and TNF receptor-associated factor 2 (TRAF2) in treated samples (p<0.001), indicating modulation of key signaling pathways involved in tumor suppression and oncogenesis.

    CONCLUSION: Myo-inositol exhibits anticancer properties in prostate cancer cells by impacting cell viability and altering protein expression. While promising as an adjunctive treatment, further studies are needed to understand its mechanisms and potential in combination therapies for managing CRPC.

  19. Kamil NZIA, Mokhtar AH, Yahya A, Zain FM, Selamat R, Ishak Z, et al.
    BMC Public Health, 2025 Jan 09;24(Suppl 1):3625.
    PMID: 39789486 DOI: 10.1186/s12889-024-20725-0
    BACKGROUND: Effective and feasible large-scale interventions are urgently needed to reverse the current rise in childhood obesity. The objective of this study was to evaluate the efficacy of a multicomponent intervention program, MyBFF@school, on anthropometric indices and body composition metrics among overweight and obese adolescent schoolchildren in Malaysia.

    METHODS: This is a cluster randomized controlled trial which involved schoolchildren aged 13, 14 and 16 years old from 15 out of 415 government secondary schools in central Peninsular Malaysia which were randomly assigned into six intervention (N = 579 schoolchildren) and nine control (N = 462 schoolchildren).The intervention group followed MyBFF@school program carried out by trained personnel for 6 month while the control group only followed the existing school curriculum by the Ministry of Education. The primary outcomes presented in this study were body mass index adjusted for age (BMI z-score), waist circumference (WC), percentage body fat (PBF) and skeletal muscle mass (SMM), measured at baseline, three and six months. Analyses of all outcomes except for the baseline characteristics were conducted according to the intention-to-treat principle. Mixed linear models adjusted for baseline outcome value and gender were used to evaluate the effectiveness after three and six months of intervention.

    RESULTS: Overall, there was no significant difference in the mean difference (MD) of BMI z-score (MD = 0.05, Confident Interval (95%CI: -0.077 to 0.194), WC (MD = 0.437, (95%CI:-3.64 to 0.892), PBF (MD = 0.977,95%CI:-1.04 to 3.0) and SMM (MD = 0.615,95%CI:-2.14,0.91) between the intervention and control group after 6 months of intervention after controlling for outcomes measured at baseline and gender.

    CONCLUSIONS: Although the MyBFF@school programme appeared promising in engaging children and promoting awareness of healthy behaviors, it did not lead to significant improvements in the anthropometric outcomes. Possible reasons for the lack of effectiveness could include the need for more intensive or targeted interventions, parental involvement, or challenges in sustaining behavior changes outside of school settings.

    TRIAL REGISTRATION: Clinical trial number: NCT04155255, November 7, 2019 (Retrospective registered). National Medical Research Register: NMRR-13-439-16,563. Registered July 23, 2013. The intervention program was approved by the Medical Research and Ethics Committee (MREC), Ministry of Health Malaysia and Educational Planning and Research Division (EPRD), Ministry of Education Malaysia. It was funded by the Ministry of Health Malaysia.

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