Browse publications by year: 2023

  1. Prevete E, Catalani V, Singh D, Kuypers KPC, Theunissen EL, Townshend HD, et al.
    J Psychoactive Drugs, 2023 Sep 13.
    PMID: 37702482 DOI: 10.1080/02791072.2023.2242361
    In recent years, the online sale of kratom (Mitragyna speciosa), a Southeast Asian plant with both medicinal and psychoactive properties, has raised health concerns mainly due to the uncontrolled diffusion of adulterated kratom-related products. This exploratory study provides, for the first time, a snapshot of the availability of kratom products on the darknet which has been further validated by data searches on the surface web. A total of 231 listings of kratom across 23 darknet marketplaces were identified between March 2020 and October 2021. Among these, 40 were found actively sold across five markets by thirteen vendors. Listed items were mainly advertised as "safe" substitutes for medicinal products for the self-management of pain and other health conditions and offered in various forms (e.g., dry leaf powder, pills, capsules). Purchases were made using cryptocurrencies, with some vendors offering Pretty Good Privacy, and were shipped from Europe, Australia, the United States, and the United Kingdom. Goods sold by the same sellers also included illicit drugs and fraud-related products. Our study discovered a previously unknown diffusion of kratom products on the darknet mainly for self-treating a variety of medical conditions, suggesting the need for further research and immediate interventions to safeguard the well-being and health of kratom consumers.
  2. Zheng K, Liang Y, Paez-Espino D, Zou X, Gao C, Shao H, et al.
    mSystems, 2023 Sep 13;8(5):e0019723.
    PMID: 37702511 DOI: 10.1128/msystems.00197-23
    The N4-like viruses, which were recently assigned to the novel viral family Schitoviridae in 2021, belong to a podoviral-like viral lineage and possess conserved genomic characteristics and a unique replication mechanism. Despite their significance, our understanding of N4-like viruses is primarily based on viral isolates. To address this knowledge gap, this study has established a comprehensive N4-like viral data sets comprising 342 high-quality N4-like viruses/proviruses (144 viral isolates, 158 uncultured viruses, and 40 integrated N4-like proviruses). These viruses were classified into 97 subfamilies (89 of which are newly identified), 148 genera (100 of which are newly identified), and 253 species (177 of which are newly identified). The study reveals that N4-like viruses inhibit the polar region, oligotrophic open oceans, and the human gut, where they infect various bacterial lineages, such as Alpha/Beta/Gamma/Epsilon-proteobacteria in the Proteobacteria phylum. Although N4-like viral endogenization appears to be prevalent in Proteobacteria, it has also been observed in Firmicutes. Additionally, the phylogenetic analysis has identified evolutionary divergence within the hallmark genes of N4-like viruses, indicating a complex origin of the different conserved parts of viral genomes. Moreover, 1,101 putative auxiliary metabolic genes (AMGs) were identified in the N4-like viral pan-proteome, which mainly participate in nucleotide and cofactor/vitamin metabolisms. Of these AMGs, 27 were found to be associated with virulence, suggesting their potential involvement in the spread of bacterial pathogenicity. IMPORTANCE The findings of this study are significant, as N4-like viruses represent a unique viral lineage with a distinct replication mechanism and a conserved core genome. This work has resulted in a comprehensive global map of the entire N4-like viral lineage, including information on their distribution in different biomes, evolutionary divergence, genomic diversity, and the potential for viral-mediated host metabolic reprogramming. As such, this work significantly contributes to our understanding of the ecological function and viral-host interactions of bacteriophages.
  3. Teh J, Mazlan M, Danaee M, Waran RJ, Waran V
    PLoS One, 2023;18(9):e0284484.
    PMID: 37703233 DOI: 10.1371/journal.pone.0284484
    OBJECTIVE: Road traffic accident (RTA) is the major cause of traumatic brain injury (TBI) in developing countries and affects mostly young adult population. This research aimed to describe the factors predicting functional outcome after TBI caused by RTA in a Malaysian setting.

    METHODS: This was a retrospective cross-sectional study conducted on specialist medical reports written from 2009 to 2019, involving patients who survived after TBI from RTA. The functional outcome was assessed using the Glasgow Outcome Scale-Extended (GOSE). Factors associated with good outcome were analysed via logistic regression analysis. Multivariate logistic regression analysis was used to derive the best fitting Prediction Model and split-sample cross-validation was performed to develop a prediction model.

    RESULTS: A total of 1939 reports were evaluated. The mean age of the study participants was 32.4 ± 13.7 years. Most patients were male, less than 40, and with average post RTA of two years. Good outcome (GOSE score 7 & 8) was reported in 30.3% of the patients. Factors significantly affecting functional outcome include age, gender, ethnicity, marital status, education level, severity of brain injury, neurosurgical intervention, ICU admission, presence of inpatient complications, cognitive impairment, post-traumatic headache, post traumatic seizures, presence of significant behavioural issue; and residence post discharge (p<0.05). After adjusting for confounding factors, prediction model identified age less than 40, mild TBI, absence of post traumatic seizure, absence of behaviour issue, absence of cognitive impairment and independent living post TBI as significant predictors of good functional outcome post trauma. Discrimination of the model was acceptable (C-statistic, 0.67; p<0.001, 95% CI: 0.62-0.73).

    CONCLUSION: Good functional outcome following TBI due to RTA in this study population is comparable to other low to middle income countries but lower than high income countries. Factors influencing outcome such as seizure, cognitive and behavioural issues, and independent living post injury should be addressed early to achieve favourable long-term outcomes.

    MeSH terms: Accidents, Traffic; Adolescent; Adult; Aftercare; Cross-Sectional Studies; Developing Countries*; Female; Humans; Inpatients; Male; Middle Aged; Patient Discharge; Retrospective Studies; Young Adult
  4. Jain V, Foo SH, Chooi S, Moss C, Goodwin R, Berland S, et al.
    Eur J Hum Genet, 2023 Dec;31(12):1421-1429.
    PMID: 37704779 DOI: 10.1038/s41431-023-01447-0
    Börjeson-Forssman-Lehmann syndrome (BFLS) is an X-linked intellectual disability syndrome caused by variants in the PHF6 gene. We ascertained 19 individuals from 15 families with likely pathogenic or pathogenic PHF6 variants (11 males and 8 females). One family had previously been reported. Six variants were novel. We analysed the clinical and genetic findings in our series and compared them with reported BFLS patients. Affected males had classic features of BFLS including intellectual disability, distinctive facies, large ears, gynaecomastia, hypogonadism and truncal obesity. Carrier female relatives of affected males were unaffected or had only mild symptoms. The phenotype of affected females with de novo variants overlapped with the males but included linear skin hyperpigmentation and a higher frequency of dental, retinal and cortical brain anomalies. Complications observed in our series included keloid scarring, digital fibromas, absent vaginal orifice, neuropathy, umbilical hernias, and talipes. Our analysis highlighted sex-specific differences in PHF6 variant types and locations. Affected males often have missense variants or small in-frame deletions while affected females tend to have truncating variants or large deletions/duplications. Missense variants were found in a minority of affected females and clustered in the highly constrained PHD2 domain of PHF6. We propose recommendations for the evaluation and management of BFLS patients. These results further delineate and extend the genetic and phenotypic spectrum of BFLS.
    MeSH terms: Female; Humans; Male; Obesity/genetics
  5. Irnidayanti Y, Soegianto A, Brabo AH, Abdilla FM, Putranto TWC, Payus CM
    Bull Environ Contam Toxicol, 2023 Sep 13;111(3):37.
    PMID: 37704797 DOI: 10.1007/s00128-023-03786-6
    This study examined the characteristics of microplastics (MPs) in the gills and gastrointestinal tract (GIT) of mackerel (Rastrelliger kanagurta) captured in Jakarta Bay, Indonesia. All 120 fish contained MPs, with fragment > fiber > film being the most prevalent types, in that order. The total abundances of fragments, fibers, and films in the gills were as follows: 4.8 ± 1.6, 1.0 ± 0.7, and 0.3 ± 0.3, respectively. The total abundances of fragments, fibers, and films in the GIT were 5.9 ± 2.3, 1.3 ± 0.8, and 0.4 ± 0.4, respectively. Statistical analysis showed that the abundance of fragments, fibers and films in both the gills and GIT of mackerel did not differ significantly between sampling locations. In the gills and GIT, MPs with sizes less than 0.1 mm and MPs that were black in color were most prevalent. Fourier transform infrared (FTIR) spectroscopy tests on MPs from the tissues of mackerel showed that there were 8 different types of MP polymers, namely, latex, nylon, polymethyl methacrylate (PMMA), cellulose acetate (CA), polyurethane (PU), polycarbonate (PC), polystyrene (PS), and polytetrafluoroethylene (PTFE). Latex and polycarbonate were detected in fish samples from Jakarta Bay.
    MeSH terms: Animals; Gills; Indonesia; Latex; Perciformes*; Plastics; Gastrointestinal Tract; Bays
  6. Wang G, Wan Y, Ding CJ, Liu X, Jiang Y
    Environ Sci Pollut Res Int, 2023 Oct;30(47):103513-103533.
    PMID: 37704820 DOI: 10.1007/s11356-023-29490-w
    The construction of low-carbon cities is an essential component of sustainable urban development. However, there is a lack of a comprehensive low-carbon city design and evaluation system that incorporates "carbon sink accounting-remote sensing monitoring-numerical modelling-design and application" in an all-around linkage, multi-scale coupling, and localized effects. This paper utilizes the Citespace tool to evaluate low-carbon city design applications by analyzing literature in the Web of Science (WOS) core collection database. The results reveal that low-carbon cities undergo four stages: "measurement-implementation-regulation - management." The research themes are divided into three core clustering evolutionary pathways: "extension of carbon sink functions," "spatialisation of carbon sink systems," and "full-cycle, full-dimensional decarbonisation." Applications include "Utility studies of multi-scale carbon sink assessments," "Correlation analysis of carbon sink influencing factors," "Predictive characterisation of multiple planning scenarios," and "Spatial planning applications of urban sink enhancement." Future low-carbon city construction should incorporate intelligent algorithm technology in real-time to provide a strong design basis for multi-scale urban spatial design with the features of "high-precision accounting, full-cycle assessment and low-energy concept."
    MeSH terms: Carbon*; China; Cities
  7. 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
  8. 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.
  9. 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.
  10. 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.
  11. 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 
  12. 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.
  13. 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.

  14. 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
  15. 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.
  16. 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
  17. 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
  18. 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
  19. 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
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