Search Results (9)

Fusidic acid resistance in Staphylococcus spp. has historically been confined to Staphylococcus ureilyticus, with limited data on its environmental distribution. This study presents the first detection of the fusidic acid resistance gene fusF in Staphylococcus kloosii recovered from virgin soil at Kampung Batu 16, Dusun Tua, Hulu Langat, Malaysia. A total of ten Staphylococcus isolates were identified using the VITEK^®2 system with high confidence (97–99%), comprising seven S. kloosii and three S. ureilyticus. Sequencing of representative isolates further corroborated the species identification. All isolates displayed phenotypic resistance to fusidic acid, while all S. ureilyticus (3/3) exhibited multi-drug resistant (MDR) traits and S. kloosii (7/7) exhibited non-MDR traits. PCR and sequencing confirmed the presence of fusF gene in S. ureilyticus (3/3) and S. kloosii (3/7). In addition, fusB and fusC genes were not detected in both species. The phylogenetic analysis (Maximum Likelihood, Tamura–Nei model) revealed high sequence conservation and clustering between fusF-positive S. kloosii and S. ureilyticus soil isolates, suggesting recent horizontal gene transfer between these two related species. The first detection of fusF gene in S. kloosii from virgin soil signifies the expansion of the ecological and host range beyond S. ureilyticus, establishes virgin soil as a potential antimicrobial resistance (AMR) reservoir, and underscores the One Health risks of resistance dissemination from environmental staphylococci. This baseline study highlights the importance of early AMR surveillance in tropical environments prior to agricultural development. Full article

The Asian palm civet (APC), Paradoxurus hermaphroditus, is a native Malaysian mammal, and recently, it has increasingly caused conflicts with humans as it ventures into local settlements for food. A study surveying 212 locals and analyzing the APC scats was conducted in Hulu Langat, Selangor, Malaysia, from August 2021 to December 2022 to understand the coexistence potential. The findings show: (1) The conflicts mainly arise due to the APCs’ foraging habits. (2) APCs cause local damage, including cultivated fruit consumption, poultry predation, and agricultural and property damage. (3) Most locals have a positive attitude toward APCs, although, in local settlements, they are considered to be pests. Respondents who experienced losses of cultivated fruits and poultry, and were familiar with APCs, had more negative attitudes. (4) Most locals believe that the APC population has increased over the past decade. (5) Only a few locals actively engage in mitigating the conflict through the use of poison, while most of them do not take any action. Although Malaysia’s human–Asian palm civet conflict is relatively tolerant, prioritizing management strategies is crucial. Conservation practitioners must address these conflicts by highlighting the need for further research and a holistic approach considering social, economic, and ecological factors. Full article

Disasters in Malaysia are managed using a framework developed through Directive 20 by the National Security Council. This framework is widely used in managing floods on the East Coast of Peninsular Malaysia. However, the prolonged rains that occurred on 17 December 2021 tested the capabilities of the existing framework: the rains caused floods in urban areas, which is unusual. This study was conducted to investigate the flood situation using data from the media, observations of the affected area, and people’s perceptions to determine their actions upon receiving flood information from the media. This study used thematic analysis to analyze the media content on the floods in Selangor. Next, observation techniques were used in one of the most affected areas, namely Hulu Langat, Selangor, where content analysis of field notes was implemented to determine the emerging themes that were being formed. Finally, an online survey questionnaire was distributed through social media. This study’s findings established that what was reported in the media was correct; however, what actually occurred was worse than what was stated in the media. Through the survey, it was found that people are extremely reliant on social media and assume that logistical constraints in the delivery of assistance have contributed to negative public perceptions of disaster management agencies. Full article

Numerous epidemiological studies have evaluated the association of fractional exhaled nitric oxide (FeNO) and indoor air pollutants, but limited information available of the risks between schools located in suburban and urban areas. We therefore investigated the association of FeNO levels with indoor particulate matter (PM₁₀ and PM_2.5), and nitrogen dioxide (NO₂) exposure in suburban and urban school areas. A comparative cross-sectional study was undertaken among secondary school students in eight schools located in the suburban and urban areas in the district of Hulu Langat, Selangor, Malaysia. A total of 470 school children (aged 14 years old) were randomly selected, their FeNO levels were measured, and allergic skin prick tests were conducted. The PM_2.5, PM₁₀, NO₂, and carbon dioxide (CO₂), temperature, and relative humidity were measured inside the classrooms. We found that the median of FeNO in the school children from urban areas (22.0 ppb, IQR = 32.0) were slightly higher as compared to the suburban group (19.5 ppb, IQR = 24.0). After adjustment of potential confounders, the two-level hierarchical multiple logistic regression models showed that the concentrations of PM_2.5 were significantly associated with elevated of FeNO (>20 ppb) in school children from suburban (OR = 1.42, 95% CI = 1.17–1.72) and urban (OR = 1.30, 95% CI = 1.10–1.91) areas. Despite the concentrations of NO₂ being below the local and international recommendation guidelines, NO₂ was found to be significantly associated with the elevated FeNO levels among school children from suburban areas (OR = 1.11, 95% CI = 1.06–1.17). The findings of this study support the evidence of indoor pollutants in the school micro-environment associated with FeNO levels among school children from suburban and urban areas. Full article

In multilabel classification, each sample can be allocated to multiple class labels at the same time. However, one of the prominent problems of multilabel classification is missing labels (incomplete labels) in multilabel text. The multilabel classification performance is reduced significantly with the presence of missing labels. In order to address the incomplete or missing label problem, this study proposes two methods: an aggregated feature and label graph-based missing label handling method (GB-AS), and a unified graph-based missing label propagation method (UG-MLP). GB-AS is used to obtain an initial label matrix based on the similarity of both document levels: feature-based weighting representation and label-based weighting representation. On the other hand, UG-MLP is introduced to construct a mixed graph that combines GB-AS and label correlations into a single groundwork. A high-order label correlation is learned from the incomplete training data and applied to supplement the missing label matrix, which guides the creation of multilabel classification models. The combination of the mixed graphs by UG-MLP is aimed to obtain the benefits of both graphs to increase the classification performance. To evaluate UG-MLP, the metrics of precision, recall and F-measure were used on three benchmark datasets, namely, the Reuters-21578, Bibtex and Enron datasets. The experimental results show that UG-MLP outperformed GB-AS as well as other state-of-the-art approaches. Therefore, we can infer from the findings that by plotting a unified graph based on joining aggregated feature and label weightings together with the label correlation, the performance of multilabel classification can be improved. Full article

Background: To explore the inflammation phenotypes following indoor pollutants exposure based on marker expression on eosinophils and neutrophils with the application of chemometric analysis approaches. Methods: A cross-sectional study was undertaken among secondary school students in eight suburban and urban schools in the district of Hulu Langat, Selangor, Malaysia. The survey was completed by 96 students at the age of 14 by using the International Study of Asthma and Allergies in Children (ISAAC) and European Community Respiratory Health Survey (ECRHS) questionnaires. The fractional exhaled nitric oxide (FeNO) was measured, and an allergic skin prick test and sputum induction were performed for all students. Induced sputum samples were analysed for the expression of CD11b, CD35, CD63, and CD66b on eosinophils and neutrophils by flow cytometry. The particulate matter (PM_2.5 and PM₁₀), NO₂, CO₂, and formaldehyde were measured inside the classrooms. Results: Chemometric and regression results have clustered the expression of CD63 with PM_2.5, CD11b with NO₂, CD66b with FeNO levels, and CO₂ with eosinophils, with the prediction accuracy of the models being 71.88%, 76.04%, and 76.04%, respectively. Meanwhile, for neutrophils, the CD63 and CD66b clustering with PM_2.5 and CD11b with FeNO levels showed a model prediction accuracy of 72.92% and 71.88%, respectively. Conclusion: The findings indicated that the exposure to PM_2.5 and NO₂ was likely associated with the degranulation of eosinophils and neutrophils, following the activation mechanisms that led to the inflammatory reactions. Full article

(1) Background: The objective of this study was to determine the prevalence of T. gondii in meats of cattle, goat and sheep from wet markets in Klang Valley, and abattoirs in Selangor, Malaysia; (2) Methods: A total of 192 meat samples were purchased from 51 wet markets in six districts in Klang Valley (Gombak, Klang, Kuala Lumpur, Hulu Langat, Petaling and Putrajaya). Meanwhile, a total of 200 diaphragm samples were collected from two government abattoirs located in Shah Alam and Banting, Selangor. All meat juices from samples were subjected to an indirect-ELISA kit for the presence of T. gondii IgG antibodies. Furthermore, all 184 meat samples of goat and sheep were subjected to conventional nested PCR (B1 genes) for the detection of T. gondii DNA; (3) Results: T. gondii antibodies were detected in 25% (n = 98/392) of the samples with seroprevalence of 9.1% (19/208, CI: 5.9%–13.8%) in cattle meat; 54.7% (41/75, 95% CI: 43.5%–65.4%) in goat meat and 34.9% (38/109, CI: 26.6%–44.2%) in sheep meat. No T. gondii DNA was detected in any of the meat samples of goat and sheep. T. gondii seropositivity in wet market samples was higher in goat (OR = 37.1 CI 12.4–110.3) and sheep meat (OR 9.03 CI: 3.28–24.8) compared to cattle meat (OR = 1.0) At univariate level, meat from non-licensed abattoirs (OR = 6.0 CI: 2.9–12.3) and female animals (OR = 6.7; CI 1.9–22.6) had higher risks of being seropositive for T. gondii antibodies than licensed abattoirs and male animals, respectively. (4) Conclusions: This is the first report of seroprevalence of T. gondii in ruminant meats for human consumption in Malaysia. The findings signified high exposure of meat samples from wet markets to T. gondii and the need for control measures to reduce the likelihood of infection when such raw or undercooked meats are consumed. Full article

Aflatoxin is a food contaminant and its exposure through the diet is frequent and ubiquitous. A long-term dietary aflatoxin exposure has been linked to the development of liver cancer in populations with high prevalence of aflatoxin contamination in foods. Therefore, this study was conducted to identify the association between urinary aflatoxin M₁ (AFM₁), a biomarker of aflatoxin exposure, with the dietary intake among adults in Hulu Langat district, Selangor, Malaysia. Certain food products have higher potential for aflatoxin contamination and these were listed in a Food Frequency Questionnaire, which was given to all study participants. This allowed us to record consumption rates for each food product listed. Concomitantly, urine samples were collected, from adults in selected areas in Hulu Langat district, for the measurement of AFM₁ levels using an ELISA kit. Of the 444 urine samples collected and tested, 199 were positive for AFM₁, with 37 of them exceeding the limit of detection (LOD) of 0.64 ng/mL. Cereal products showed the highest consumption level among all food groups, with an average intake of 512.54 g per day. Chi-square analysis showed that consumption of eggs (X² = 4.77, p = 0.03) and dairy products (X² = 19.36, p < 0.01) had significant associations with urinary AFM₁ but both food groups were having a phi and Cramer’s V value that less than 0.3, which indicated that the association between these food groups’ consumption and AFM₁ level in urine was weak. Full article

Little is known on the knowledge, attitudes and preventive practices (KAP) of leptospirosis worldwide. This study embarked on assessing the KAP of leptospirosis among rural communities in Malaysia. A total of 444 participants (223 male; 221 female) aged between 18 and 81 years old were surveyed by using a self-administered questionnaire. A majority of participants had poor knowledge level (57.0%), unacceptable attitudes (90.3%) and unacceptable preventive practices (69.1%) on leptospirosis, and only 29.7% knew “rat-urine disease” as leptospirosis. Only 34.2% of the participants knew the bacteria could enter via wound lesions. Ethnicity and income were strongly associated with knowledge level and preventive practices, respectively (p-values < 0.05). As for attitudes, ethnicity, income and education type were significantly associated (p-values < 0.05). Only 36.5% of the participants were willing to see a doctor and did not mind if their house or surrounding area is dirty (59.7%). Surprisingly, only 32.9% had used rubber boots during floods. By logistic regression analysis, ethnicity was the only significant predictor for both knowledge level (an odds ratio (AOR) = 0.39, 95% confidence interval (CI) = 0.222–0.680) and preventive practices (AOR = 1.81, 95% CI = 1.204–2.734). Ethnicity (AOR = 0.40, 95% CI = 0.239–0.665), income (AOR = 1.58, 95% CI = 1.041–2.385) and education type (AOR = 3.69, 95% CI = 1.237–10.986) were strong predictors for attitudes. Among the KAP variables, attitude (AOR = 4.357, 95% CI = 2.613–7.264) was the only predictor for the preventive practices by logistic regression analysis. The KAP elements on leptospirosis are still lacking and poor health seeking behavior and attitudes are of our utmost concern. Thus, effective strategies should be planned to impart knowledge, and develop proactive approaches and good preventive modules on leptospirosis to this leptospirosis-prone community. Full article