Browse publications by year: 2023

  1. Loh HH, Lim QH, Kang WH, Yee A, Yong MC, Sukor N
    Hormones (Athens), 2023 Dec;22(4):563-580.
    PMID: 37704922 DOI: 10.1007/s42000-023-00481-3
    PURPOSE  : Obstructive sleep apnea (OSA) is a chronic, sleep-related breathing disorder which leads to increased cardiovascular risks. Vitamin D deficiency is associated with various cardiometabolic complications, including increased cardiovascular morbidity and mortality. We aimed to analyze the difference in serum 25-hydroxyvitamin D (25-OHD) level, prevalence of vitamin D insufficiency and deficiency, and the effect of CPAP treatment on serum 25-OHD levels among adult patients with OSA.

    METHODS: We pooled data from 18 observational studies involving 5592 individuals. Baseline parameters that might have contributed to the significant differences observed were also analyzed.

    RESULTS: Patients with OSA had significantly lower serum 25-OHD levels (pooled d +  - 0.74 [95% CI: - 1.19 to - 0.28], p 

    MeSH terms: Adult; Humans; Vitamin D; Vitamins
  2. Abbas Q, Hina S, Sajjad H, Zaidi KS, Akbar R
    PeerJ Comput Sci, 2023;9:e1552.
    PMID: 37705624 DOI: 10.7717/peerj-cs.1552
    Network intrusion is one of the main threats to organizational networks and systems. Its timely detection is a profound challenge for the security of networks and systems. The situation is even more challenging for small and medium enterprises (SMEs) of developing countries where limited resources and investment in deploying foreign security controls and development of indigenous security solutions are big hurdles. A robust, yet cost-effective network intrusion detection system is required to secure traditional and Internet of Things (IoT) networks to confront such escalating security challenges in SMEs. In the present research, a novel hybrid ensemble model using random forest-recursive feature elimination (RF-RFE) method is proposed to increase the predictive performance of intrusion detection system (IDS). Compared to the deep learning paradigm, the proposed machine learning ensemble method could yield the state-of-the-art results with lower computational cost and less training time. The evaluation of the proposed ensemble machine leaning model shows 99%, 98.53% and 99.9% overall accuracy for NSL-KDD, UNSW-NB15 and CSE-CIC-IDS2018 datasets, respectively. The results show that the proposed ensemble method successfully optimizes the performance of intrusion detection systems. The outcome of the research is significant and contributes to the performance efficiency of intrusion detection systems and developing secure systems and applications.
  3. Al-Ghuribi S, Mohd Noah SA, Mohammed M
    PeerJ Comput Sci, 2023;9:e1525.
    PMID: 37705634 DOI: 10.7717/peerj-cs.1525
    Collaborative filtering (CF) approaches generate user recommendations based on user similarities. These similarities are calculated based on the overall (explicit) user ratings. However, in some domains, such ratings may be sparse or unavailable. User reviews can play a significant role in such cases, as implicit ratings can be derived from the reviews using sentiment analysis, a natural language processing technique. However, most current studies calculate the implicit ratings by simply aggregating the scores of all sentiment words appearing in reviews and, thus, ignoring the elements of sentiment degrees and aspects of user reviews. This study addresses this issue by calculating the implicit rating differently, leveraging the rich information in user reviews by using both sentiment words and aspect-sentiment word pairs to enhance the CF performance. It proposes four methods to calculate the implicit ratings on large-scale datasets: the first considers the degree of sentiment words, while the second exploits the aspects by extracting aspect-sentiment word pairs to calculate the implicit ratings. The remaining two methods combine explicit ratings with the implicit ratings generated by the first two methods. The generated ratings are then incorporated into different CF rating prediction algorithms to evaluate their effectiveness in enhancing the CF performance. Evaluative experiments of the proposed methods are conducted on two large-scale datasets: Amazon and Yelp. Results of the experiments show that the proposed ratings improved the accuracy of CF rating prediction algorithms and outperformed the explicit ratings in terms of three predictive accuracy metrics.
  4. Su C, Wei J, Lei Y, Li J
    PeerJ Comput Sci, 2023;9:e1496.
    PMID: 37705669 DOI: 10.7717/peerj-cs.1496
    The rise of targeted advertising has led to frequent privacy data leaks, as advertisers are reluctant to share information to safeguard their interests. This has resulted in isolated data islands and model heterogeneity challenges. To address these issues, we have proposed a C-means clustering algorithm based on maximum average difference to improve the evaluation of the difference in distribution between local and global parameters. Additionally, we have introduced an innovative dynamic selection algorithm that leverages knowledge distillation and weight correction to reduce the impact of model heterogeneity. Our framework was tested on various datasets and its performance was evaluated using accuracy, loss, and AUC (area under the ROC curve) metrics. Results showed that the framework outperformed other models in terms of higher accuracy, lower loss, and better AUC while requiring the same computation time. Our research aims to provide a more reliable, controllable, and secure data sharing framework to enhance the efficiency and accuracy of targeted advertising.
  5. Tang ASO, Leong TS, Wong QY, Tan XY, Ko CT, Ngew KY, et al.
    SAGE Open Med, 2023;11:20503121231194433.
    PMID: 37705719 DOI: 10.1177/20503121231194433
    Introduction: Myelofibrosis is a rare disease. There is currently no published data reporting the demographics and outcome of myelofibrosis patients in Malaysia. We aimed to study the demographics, clinical characteristics, and outcome of our patients in Sarawak. Materials and methods: This non-interventional, retrospective, and multi-center study was conducted on secondary data of medical records collected at four Sarawak Public Hospitals. All adult myelofibrosis patients diagnosed between January 2001 and December 2021 were included. Results: A total of 63 patients (male 31) with myelofibrosis were included-47 (74.6%) primary and 16 (25.4%) secondary myelofibrosis. Eleven had antecedent polycythaemia vera, whereas five transformed from essential thrombocythaemia. The combined annual incidence rate was 0.182 per 100,000 population. The period prevalence per 100,000 population over the entire study duration was 2.502. The median age was 59.0 years (33.0-93.0). Majority had high-risk (34/63(54.0%)) and intermediate-2 risk disease (19/63(30.2%)). JAK2V617F mutation was identified in 52 patients (82.5%), followed by CALR mutation in 6 (9.5%) and negative for both mutations in 5 (7.9%). Hydroxyurea was used as first-line therapy in 41/63 (65.1%), followed by interferon (8/63(12.7%)) and ruxolitinib (4/63(6.3%)). Out of 46 patients who received second-line therapy, 18 (39.1%) were switched to ruxolitinib and 9 (19.6%) to interferon. The median age of survival for overall patients was 6.8 years. The use of ruxolitinib in myelofibrosis patients showed a better overall 5-year survival compared to the no ruxolitinib arm, despite no statistical significance (p = 0.34). Patients who had good performance status had lower hazard of death than patients who had poor performance status (high-risk (95% confidence intervals): 0.06(0.013-0.239), p 
  6. Li R, Che Hassan N, Saharuddin N
    Psychol Res Behav Manag, 2023;16:3739-3763.
    PMID: 37705849 DOI: 10.2147/PRBM.S421549
    In the past two decades, several scholars from different disciplines have conducted theoretical research and practical explorations on the issue of psychological capital and achieved certain research results. Yet, few studies have synthesized the psychological capital related to academic outcomes among university students. Thus, the aim of this article is to explore how PsyCap is described in an academic context and how PsyCap and academic-related outcomes are related. A comprehensive systematic review was conducted on 43 studies between 2012 and 2022, sourced from six leading databases: Web of Science, Scopus, ERIC, PsyINFO (EBSCO), Springerlink, and ScienceDirect. Our selection criteria focused on empirical research that specifically discussed PsyCap's impact on university students' academic performance. This review identifies personal and social factors that influence the development of PsyCap in university students, such as self-esteem, motivation, gratitude, family support, and peer relationships. We found that PsyCap plays a key role in academic outcomes, including academic performance, engagement, burnout, adjustment, stress, and intrinsic motivation. Highlighting the significance of PsyCap in academic settings, our study underscores the need for further research on its relationship with student outcomes. Given the substantial influence of PsyCap on academic performance, institutions should consider incorporating psychological capital development programs into their curriculum. Such initiatives could optimize the academic achievements and holistic well-being of students.
  7. Syed Mohamed AMF, Wei TZ, Sean CJ, Rosli TI
    Spec Care Dentist, 2023;43(5):554-560.
    PMID: 36269010 DOI: 10.1111/scd.12790
    OBJECTIVE: To evaluate the prevalence and significance of the malocclusion traits and orthodontic treatment needs of Down syndrome (DS) subjects with matched non-syndromic (NS) controls.

    METHODOLOGY: This cross-sectional study involved 222 subjects (50% DS, 50% NS) who were matched by gender and age. The casts were digitized into three-dimensional images. These images were used alongside the ten occlusal characteristics of the Dental Aesthetic Index (DAI) to determine malocclusion severity and the need for orthodontic treatment.

    RESULTS: There were 58 (52.3%) females and 53 (47.7%) males with a mean age of 18.4 ± 8.4 years in both groups. The most common and significant (p  30). The DS showed some impact of malocclusion traits components of the DAI.

    CONCLUSION: The occurrence of malocclusion was higher in DS, implying a higher need for orthodontic treatments than for NS subjects.

  8. Bahathig A, Abu Saad H
    East Mediterr Health J, 2023 Aug 31;29(8):638-649.
    PMID: 37698219 DOI: 10.26719/emhj.23.090
    BACKGROUND: Lifestyle changes in Saudi Arabia have affected the dietary intake of adolescents, who now consume more unhealthy foods.

    AIMS: We assessed the dietary intake of female Saudi Arabian adolescents living in Arar.

    METHOD: In this randomised cluster study, female students were selected randomly from assigned schools to form the intervention (n = 68) and control (n = 70) groups. Initially, a 60-minute seminar was held for mothers of students in the intervention group. Subsequently, 6 90-minute sessions were held over 3 months for the intervention group on topics such as food groups, healthy and unhealthy eating, body image and physical activity. The data were analysed using generalized estimating equations.

    RESULTS: The interaction effect (group by time) between the groups revealed statistically significant differences for dairy products (P < 0.001), sweetened beverages (P < 0.001), sweetened baked goods (P = 0.022) and fruits and vegetables (P < 0.003). The intervention significantly increased the intake of dairy products (P < 0.001) and fruits and vegetables (P = 0.003). It reduced the intake of sweetened beverages (P < 0.001) and sweetened baked goods (P = 0.010) in the intervention group.

    CONCLUSION: This intervention showed a grater positive effect on the intervention than the control group; it increased dietary intake of dairy products, fruits and vegetables, and reduced intake of sweetened beverages and sweetened baked goods among the intervention group participants. We recommend similar nutrition interventions among other young Saudi Arabian population groups to prevent obesity and other diseases.

    MeSH terms: Adolescent; Eating; Female; Fruit*; Humans; Saudi Arabia; Vegetables*; Exercise
  9. Zhou L, Song Y, Jiang Y, Wei Y, Jiang S, Chen Y, et al.
    Food Funct, 2023 Oct 02;14(19):8876-8892.
    PMID: 37698234 DOI: 10.1039/d3fo03041e
    Thinned peach fruit is a by-product with abundant yields. However, it is barely utilized. This study aimed to study the physicochemical properties and anti-diabetic ability of polysaccharides (PPSs) from a thinned peach fruit to investigate its application potential. Fourier transform infrared spectroscopy (FT-IR) and scanning electron microscopy (SEM) characterizations were performed together with tests to determine rheology properties, monosaccharide composition, and molecular weight of the obtained polysaccharide. Moreover, the antioxidant activity, α-amylase inhibitory activity, binding abilities to bile salts, and effects on type 2 diabetic mice were analyzed. The results indicated that PPS consisted of two components with molecular weights of 287.38 kDa and 12.02 kDa, accounting for 89.83% and 10.17% of the composition, respectively. The dominant monosaccharides were galactose, galacturonic acid, and arabinose, exhibiting α-configurations. The concentration was positively related to the viscosity of PPS. As the temperature was increased from 25 °C to 37 °C and the pH from 2.0 to 7.0, the viscosity decreased. The IC50 values for scavenging DPPH and ABTS were around 0.22 and 1.47 mg mL-1. Also, PPS could inhibit α-amylase ability and bind bile salts. The administration of PPS significantly inhibited emaciation, organ damage, improved oral glucose tolerance and insulin resistance, enhanced the content of short-chain fatty acids (SCFAs), and regulated blood lipid profiles and the composition and structure of colon microbiota in type-2 diabetic mice. These results provide new evidence for the potential of PPS as a bioactive ingredient with anti-diabetic properties for use in the food industry.
  10. Precha N, Totem K, Nuychoo L, Dom NC
    Rocz Panstw Zakl Hig, 2023;74(3):345-354.
    PMID: 37698275 DOI: 10.32394/rpzh.2023.0273
    BACKGROUND: Indoor airborne fungi are a significant health concern that can cause respiratory symptoms and other health problems. Indoor fungi are influenced by various factors such as meteorological conditions and dwelling characteristics.

    OBJECTIVE: This study aims to evaluate the association between indoor airborne fungi and environmental factors in a student dormitory in southern Thailand.

    MATERIAL AND METHODS: The study was conducted at Walailak University in southern Thailand from September toDecember 2020. Air samples were collected from rooms in thirteen dormitories, and the fungal load was determined using the passive air sampling method. The study also measured meteorological parameters and gathered data on occupant behaviors and exposure-related symptoms through a self-administered questionnaire.

    RESULTS: In a total of 135 student rooms, the average concentration (mean ± SD) of indoor airborne fungi was 409.72±176.22 CFU/m3, which showed the highest concentration on the first floor. For meteorological parameters, the averages of RH (%), temperature (°C), and CO2 (ppm) were 70.99±2.37, 31.11±0.56 and 413.29±76.72, respectively. The abundance of indoor airborne fungi was positively associated with an increase in RH (β=0.267, 95% CI: 5.288, 34.401) and building height (β=0.269, 95% CI: 16.283, 105.873), with values of 19.845 and 61.078, respectively. Conversely, temperature exhibited a negative effect on indoor airborne fungi (-92.224, β=-0.292, 95% CI: -150.052, -34.396).

    CONCLUSION: The findings highlight the influence of RH, temperature and building height on indoor airborne fungi in the student dormitory. Therefore, effective management strategies are necessary to improve indoor air quality and reduce associated health risks in student dormitories.

    MeSH terms: Fungi*; Humans; Students*; Thailand; Universities
  11. Faghfouri AH, Afrakoti LGMP, Kavyani Z, Nogourani ZS, Musazadeh V, Jafarlou M, et al.
    Inflammopharmacology, 2023 Oct;31(5):2253-2268.
    PMID: 37698776 DOI: 10.1007/s10787-023-01332-8
    OBJECTIVE: Despite the increasing evidence for probiotics' anti-inflammatory effects, the results of meta-analyses remain inconsistent. The present umbrella meta-analysis aimed to investigate the effects of probiotic supplementation on inflammatory biomarkers.

    METHODS: We performed a wide-ranging systematic search in several databases, including PubMed, Web of Science, Scopus, EMBASE, and Google Scholar up to April 2023. The overall effect sizes were calculated using effect size (ES) values and their corresponding confidence intervals (CI).

    RESULTS: Out of a total of 580 related articles, 39 studies were qualified for inclusion in the analysis. The results of the analysis revealed a significant reduction of C-reactive protein (CRP) (ES = -1.02; 95% CI: -1.23, -0.80, p 

    MeSH terms: Adult; C-Reactive Protein; Humans; Biomarkers; Interleukin-6*; Randomized Controlled Trials as Topic
  12. Wong CK, Ng KS, Choo SQR, Lee CJ, Teo YP, Liew SM, et al.
    J Infect Dev Ctries, 2023 Aug 31;17(8):1138-1145.
    PMID: 37699097 DOI: 10.3855/jidc.16967
    INTRODUCTION: The all-cause mortality for tuberculosis is 1 in every 10 patients in Malaysia. The currently available national surveillance database does not record patients' variables such as socio-economic factors, existing co-morbidities, and risk behavior for investigation. An electronic medical record system can capture this missing information and use it to determine all-cause mortality factors more accurately. Our study aims to determine the factors associated with all-cause mortality in a cohort of tuberculosis patients in a Malaysian tertiary hospital which is equipped with an electronic medical record system.

    METHODOLOGY: Records of patients diagnosed with tuberculosis from 1st January 2018 to 30th September 2019 were retrieved. Sociodemographic and clinical data were extracted. Treatment outcomes and all-cause mortality were recorded at 1 year after diagnosis. Univariate, multivariate, and stepwise regression were used to determine the factors associated with all-cause mortality.

    RESULTS: Four-hundred and seventy-one patients were reviewed. The mean age was 46.6 ± 19.7 years. The all-cause mortality rate at one year of diagnosis was 15.3%. Factors identified were age [aOR 1.026 (95% CI: 1.004-1.049)], chronic kidney disease [aOR 3.269 (1.508-7.088)], HIV positive status [aOR 4.743 (1.505-14.953)], active cancer [aOR 5.758 (1.605-20.652)], liver disease [aOR 6.220 (1.028-37.621)], and moderate to advanced chest X-ray findings [aOR 3.851 (1.033-14.354)].

    CONCLUSIONS: On average, one in seven patients diagnosed with TB died within a year in a Malaysian tertiary hospital. Identification of this vulnerable group using the associated factors found in this study may help to reduce the risk of mortality through early intervention strategies.

    MeSH terms: Adult; Aged; Humans; Malaysia/epidemiology; Middle Aged; Mortality*; Databases, Factual; Asian Continental Ancestry Group; Tertiary Care Centers
  13. Badai SS, Rasid OA, Masani MYA, Chan KL, Chan PL, Shaharuddin NA, et al.
    J Plant Physiol, 2023 Oct;289:154080.
    PMID: 37699261 DOI: 10.1016/j.jplph.2023.154080
    Modification of lipid composition in the mesocarp tissue of oil palm involves genetic manipulation of multiple genes. More than one mesocarp-preferential promoter is necessary for the expression of individual transgenes in the same plant to obviate transcriptional gene silencing. This study aimed to identify genes that are preferentially expressed in the mesocarp tissue and characterize selected candidate mesocarp-preferential promoters. Ten transcripts that were preferentially expressed in the mesocarp tissue were identified from the analysis of 82 transcriptome datasets of 12 different oil palm tissues. The expression of two candidate genes, MSP-C1 and MSP-C6, was verified to be preferentially expressed in the mesocarp tissues and shown to have a low expression level in non-mesocarp tissues by reverse transcription quantitative real-time PCR (RT-qPCR). MSP-C6 promoter fragments of different lengths were transformed into tomato plants for further characterization. Both unripe and ripe fruits of transgenic tomato plants transformed with a construct harboring the MSP-C6-F1 (2014 bp) promoter were shown to have high beta-glucuronidase (GUS) activities. The findings of this study suggest the potential applications of the MSP-C6 promoter as a molecular tool for genetic engineering of novel traits in fruit crops.
    MeSH terms: Genetic Engineering; Glucuronidase/genetics; Glucuronidase/metabolism; Promoter Regions, Genetic/genetics; Gene Expression Regulation, Plant/genetics; Lycopersicon esculentum*; Transgenes; Plants, Genetically Modified/genetics; Plants, Genetically Modified/metabolism
  14. Tay JEF, Tung SEH, Kaur S, Gan WY, Che'Ya NN, Tan CH
    Sci Rep, 2023 Sep 12;13(1):15067.
    PMID: 37700109 DOI: 10.1038/s41598-023-42394-6
    Seasonality was shown to have an effect on food availability and accessibility, increasing the risk of food insecurity and causing poor diet quality and malnutrition. Therefore, this study aimed to determine seasonal effects on household food security status, diet quality, and nutritional status of urban poor adolescents in Malaysia. A cohort study was conducted among 164 adolescents aged 10-17 from 12 People Housing Programme in Kuala Lumpur, Malaysia during the Northeast (November 2021 till March 2022) and Southwest (June 2022 till September 2022) monsoon. Household food security status was measured using the 18-item USDA Household Food Security Survey Module. Dietary intake was determined using a two-days 24-h dietary recall and translated into Standardized Malaysian Healthy Eating Index (S-MHEI). Anthropometric and haemoglobin level measurements were performed to determine nutritional status. Seasonality was found to have a significant effect on overall diet quality (p = 0.021), food groups such as fish (p 
    MeSH terms: Animals; Diet*; Malaysia/epidemiology; Nutritional Status*; Vegetables; Cohort Studies
  15. Lin GSS, Goh SM, Halil MHM
    Health Res Policy Syst, 2023 Sep 12;21(1):95.
    PMID: 37700266 DOI: 10.1186/s12961-023-01048-9
    BACKGROUND: The dental workforce plays a crucial role in delivering quality oral healthcare services, requiring continuous training and education to meet evolving professional demands. Understanding the impact of dental workforce training and education programmes on policy evolution is essential for refining existing policies, implementing evidence-based reforms and ensuring the growth of the dental profession. Therefore, this study protocol aims to assess the influence of dental workforce training and education programmes on policy evolution in Malaysia.

    METHODS: A mixed-method research design will be employed, combining quantitative surveys and qualitative interviews. Stakeholder theory and policy change models will form the theoretical framework of the study. Participants from various stakeholder groups will be recruited using purposive sampling. Data collection will involve surveys and one-on-one semi-structured interviews. Descriptive statistics, inferential analysis and thematic analysis will be used to analyse the data. Integration of quantitative and qualitative data will be used to provide a comprehensive understanding of the data.

    DISCUSSION: This study will shed light on factors influencing policy decisions related to dental education and workforce development in Malaysia. The findings will inform evidence-based decision-making, guide the enhancement of dental education programmes and improve the quality of oral healthcare services. Challenges related to participant recruitment and data collection should be considered, and the study's unique contribution to the existing body of knowledge in the Malaysian context will be discussed.

    MeSH terms: Data Accuracy*; Data Collection; Humans; Research Design*; Policy
  16. Li X, Che CC, Li Y, Wang L, Chong MC
    BMC Nurs, 2023 Sep 12;22(1):312.
    PMID: 37700282 DOI: 10.1186/s12912-023-01473-9
    BACKGROUND: Studies have shown that second-victim experiences could increase risks of the compassion fatigue while support from individuals and organisations is most often protection. However, the risk for poor compassion satisfaction and increased compassion fatigue in nurses aroused by adverse events remains an underestimated problem, meanwhile, litter known about the role of positive and negative coping styles among nurses suffering from adverse events. This study aims to investigate the effect of second-victim experiences on the professional quality of life among nurses and to determine the mediating role of coping styles in the relationship between second-victim experiences and professional quality of life.

    METHODS: Multistage sampling was used to recruit registered nurses from Hunan province in China. Registered nurses who identified themselves as experiencing adverse events from nine tertiary hospitals were included in this study. Participants were recruited to complete a survey on the second victim experience and support tool, the simplified coping style questionnaire, and the professional quality of life scale. The stress coping theory was used to develop the framework in this study. The structural equation modelling approach was used for conducting the mediating effects analysis via IBM SPSS Statistics 26.0 and Mplus 8.3.

    RESULTS: In total, 67% (n = 899) of nurses reported a second victim experience during their careers. In a bivariate analysis, both second-victims experiences and coping styles were significantly associated with their professional quality of life. The results showed that the effects of second victim experiences on their professional quality of life were fully mediated by coping styles. A total of 10 significantly indirect pathways were estimated, ranging from -0.243 to 0.173.

    CONCLUSIONS: Second-victim experiences are common among nurses in this study. Since the mediating effects of coping styles were clarified in this study, it is imperative to promote the perception of negative coping styles and encourage nurses to adopt more positive coping styles with adequate support systems.

  17. Huda N, Ullah S, Wahab RA, Lani MN, Daud NHA, Shariff AHM, et al.
    BMC Res Notes, 2023 Sep 12;16(1):211.
    PMID: 37700361 DOI: 10.1186/s13104-023-06495-9
    OBJECTIVES: Pollen is a useful tool for identifying the provenance and complex ecosystems surrounding honey production in Malaysian forests. As native key pollinators in Malaysia, Apis dorsata and Heterotrigona itama forage on various plant/pollen species to collect honey. This study aims to generate a dataset that uncovers the presence of these plant/pollen species and their relative abundance in the honey of A. dorsata and H. itama. The information gathered from this study can be used to determine the geographical and botanical origin and authenticity of the honey produced by these two species.

    RESULTS: Sequence data were obtained for both A. dorsata and H. itama. The raw sequence data for A. dorsata was 5 Mb, which was assembled into 5 contigs with a size of 6,098,728 bp, an N50 of 15,534, and a GC average of 57.42. Similarly, the raw sequence data for H. itama was 6.3 Mb, which was assembled into 11 contigs with a size of 7,642,048 bp, an N50 of 17,180, and a GC average of 55.38. In the honey sample of A. dorsata, we identified five different plant/pollen species, with only one of the five species exhibiting a relative abundance of less than 1%. For H. itama, we identified seven different plant/pollen species, with only three of the species exhibiting a relative abundance of less than 1%. All of the identified plant species were native to Peninsular Malaysia, especially the East Coast area of Terengganu.

    DATA DESCRIPTION: Our data offers valuable insights into honey's geographical and botanical origin and authenticity. Metagenomic studies could help identify the plant species that honeybees forage and provide preliminary data for researchers studying the biological development of A. dorsata and H. itama. The identification of various flowers from the eDNA of honey that are known for their medicinal properties could aid in regional honey with accurate product origin labeling, which is crucial for guaranteeing product authenticity to consumers.

    MeSH terms: Animals; Bees/genetics; Honey*; Pollen/genetics; Ecosystem; Metagenomics
  18. Chan WK, Chuah KH, Rajaram RB, Lim LL, Ratnasingam J, Vethakkan SR
    J Obes Metab Syndr, 2023 Sep 30;32(3):197-213.
    PMID: 37700494 DOI: 10.7570/jomes23052
    Metabolic dysfunction-associated steatotic liver disease (MASLD) is the latest term for steatotic liver disease associated with metabolic syndrome. MASLD is the most common cause of chronic liver disease and is the leading cause of liver-related morbidity and mortality. It is important that all stakeholders be involved in tackling the public health threat of obesity and obesity-related diseases, including MASLD. A simple and clear assessment and referral pathway using non-invasive tests is essential to ensure that patients with severe MASLD are identified and referred to specialist care, while patients with less severe disease remain in primary care, where they are best managed. While lifestyle intervention is the cornerstone of the management of patients with MASLD, cardiovascular disease risk must be properly assessed and managed because cardiovascular disease is the leading cause of mortality. No pharmacological agent has been approved for the treatment of MASLD, but novel anti-hyperglycemic drugs appear to have benefit. Medications used for the treatment of diabetes and other metabolic conditions may need to be adjusted as liver disease progresses to cirrhosis, especially decompensated cirrhosis. Based on non-invasive tests, the concepts of compensated advanced chronic liver disease and clinically significant portal hypertension provide a practical approach to stratifying patients according to the risk of liver-related complications and can help manage such patients. Finally, prevention and management of sarcopenia should be considered in the management of patients with MASLD.
  19. Kow CS, Ramachandram DS, Hasan SS
    J Antimicrob Chemother, 2023 Nov 06;78(11):2779-2780.
    PMID: 37700684 DOI: 10.1093/jac/dkad275
    MeSH terms: Humans; Hydroxylamines; Randomized Controlled Trials as Topic
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