Publications by authors named "Goh S G"

Article Synopsis
  • Lactic acid bacteria (LAB) are beneficial in fermentation and as probiotics, producing antimicrobial compounds like bacteriocin-like inhibitory substance (BLIS) to enhance food safety.
  • The study aimed to optimize a CRISPR/Cas9 system to redirect LAB metabolism by disrupting the lactate dehydrogenase gene (ldh), leading to higher yields of antimicrobial compounds.
  • The modified LAB strains showed up to 78% increased inhibitory activity against foodborne pathogens, with Enterococcus faecalis-ldhΔ exhibiting notable bactericidal effects, marking a significant advancement in manipulating LAB metabolism for enhanced antimicrobial production.
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Article Synopsis
  • * They looked at how many bacteria are resistant to antibiotics, what chemicals are in the water, and what might be causing the resistance.
  • * The study found higher levels of antibiotic-resistant bacteria in certain farms, and how the location and season can change the levels of resistance and chemicals in the water.
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  • - The study examines how cephalosporin-resistant E. coli spreads in tropical waters of Singapore by analyzing samples from various sources between 2016 and 2020.
  • - Researchers found strong genetic similarities between E. coli from the environment and hospitals, particularly the concerning pandemic strain ST131, indicating high resistance due to mutations and mobile genetic elements.
  • - Pathogenic strains linked to public health threats were discovered in community sewage and aquaculture areas, highlighting the important connection between human activities and environmental health issues related to antibiotic resistance.
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  • The increasing discharge of antibiotics is causing serious concerns about antimicrobial resistance (AMR) in aquatic environments, with current measurement methods being slow and costly.
  • A new machine-learning framework has been developed to quickly quantify AMR by analyzing easily obtainable environmental variables and land-use patterns, reducing analysis time from several days to about 30 minutes.
  • Key findings include that the adaptive random forest model enhances quantification accuracy significantly, identifying dissolved oxygen, resistivity, and green area proportions as crucial variables for future AMR burden assessments.
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Multidrug-resistant infections pose a serious public health threat due to the rise in antimicrobial resistance. Phage therapy has emerged as a promising alternative. However, has evolved various mechanisms to thwart phage attacks, making it crucial to decipher these resistance mechanisms to develop effective therapeutic strategies.

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Water reuse as an alternative water supply is increasing throughout the world due to water stress and scarcity; however, there are no standard practices for monitoring virus pathogens in such systems. This study aimed to identify suitable surrogates for virus fate, transport, and removal throughout a water reuse scheme. Various microbial targets (11 viruses, two phage, and three bacteria) were monitored using molecular and culture methods across all treatment stages in a wastewater reclamation facility and advanced water treatment facility.

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Predicting the hotspots of antimicrobial resistance (AMR) in aquatics is crucial for managing associated risks. We developed an integrated modeling framework toward predicting the spatiotemporal abundance of antibiotics, indicator bacteria, and their corresponding antibiotic-resistant bacteria (ARB), as well as assessing the potential AMR risks to the aquatic ecosystem in a tropical reservoir. Our focus was on two antibiotics, sulfamethoxazole (SMX) and trimethoprim (TMP), and on () and its variant resistant to sulfamethoxazole-trimethoprim (EC_SXT).

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Antimicrobial resistance is recognized as a potent threat to human health. Wastewater treatment facilities are viewed as hotspots for the spread of antimicrobial resistance. This study provides comprehensive data on the occurrences of 3 different antibiotic resistant opportunistic pathogens (with resistance to up to 5 antibiotics), 13 antibiotic resistant genes and intI1, and 22 different antimicrobial residues in a large water reclamation plant (176 million gallons per day) that runs a conventional Modified Ludzack-Ettinger (MLE) reactor followed by a secondary settling tank (SST) and membrane bioreactor (MBR) in parallel.

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As a novel agricultural practice, the reuse of food waste compost and digestate as fertilizers leads to a circular economy, but inevitably introduces bio-contaminants such as antibiotic resistance genes (ARGs) into the agroecosystem. Moreover, heavy metal and antibiotic contamination in farmland soil may exert selective pressures on the evolution of ARGs, posing threats to human health. This study investigated the fate, influencing mechanisms and potential risks of ARGs in a soil-vegetable system under different food waste fertilization and remediation treatments and soil contamination conditions.

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Article Synopsis
  • Antibiotic-resistant Enterobacteriaceae are a major public health threat, but research on health risks from exposure in natural environments is limited.
  • A new QMRA-DALY model combines microbial risk assessment with health outcomes, considering uncertainties through Monte Carlo simulations.
  • Findings show agricultural water bodies have the highest antimicrobial resistance hotspots, with significant health burdens from infections by meropenem-resistant E. coli and lower burdens from K. pneumoniae, highlighting the need for better evaluation and risk mitigation strategies.
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During the pandemic of COVID-19, the amounts of quaternary ammonium compounds (QACs) used to inactivate the virus in public facilities, hospitals and households increased, which raised concerns about the evolution and transmission of antimicrobial resistance (AMR). Although QACs may play an important role in the propagation of antibiotic resistance gene (ARGs), the potential contribution and mechanism remains unclear. Here, the results showed that benzyl dodecyl dimethyl ammonium chloride (DDBAC) and didecyl dimethyl ammonium chloride (DDAC) significantly promoted plasmid RP4-mediated ARGs transfer within and across genera at environmental relevant concentrations (0.

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Amplified hygiene and precautionary measures are of utmost importance to control the spread of COVID-19 and future infection; however, these changes in practice are projected to trigger a rise in the purchase, utilisation and hence, discharge of many disinfectants into the environment. While alcohol-based, hydrogen peroxide-based, and chlorine-based compounds have been used widely, quaternary ammonium compounds (QACs) based disinfectants are of significant concern due to their overuse during this pandemic. This review presents the classification of disinfectants and their mechanism of action, focusing on QACs.

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Sewage-based surveillance is widely employed to understand the occurrence and distribution of antimicrobial resistance (AMR) in urban community. However, there are limited studies which investigated the sewage of different sources within community. The present study used metagenomics to decipher the AMR profiles in five sources: local residence's source, animal source, migrant workers' source, clinical source , and urban wastewater treatment plant influent.

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Community sewage is a useful medium for antimicrobial resistance (AMR) surveillance of populations residing in urban dwellings as it provides the resolution of tracking sources of AMR from different waste streams within a community. Antibiotic resistance profiles of 4 opportunistic pathogens were compared from 3 sewage sources: raw community sewage from 2 housing estates, a foreign workers dormitory and a pet centre. Sewage was collected from receiving manholes and a culture-based method was used to quantify opportunistic pathogens Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa and Enterococcus spp.

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Human specific microbial source tracking (MST) markers which are highly specific to human waste contamination offer the advantage of better association with human pathogens than traditional microbial indicators. However, the performance of these MST markers may vary across different geographical regions. The magnitude of MST markers also plays an important role in interpreting the health risks.

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The infections caused by antibiotic resistant bacteria (ARB) can lead to higher medical costs, prolonged hospital stays, and increased mortality compared to bacteria that are susceptible to antibiotics. Challenges exist in quantifying the potential risk/burden associated with antimicrobial resistance (AMR) as there is a lack of dose-response models available for pathogens which are resistant to antibiotics, in addition to the fact that very little is known regarding the health risks posed by antibiotic resistant genes (ARG). In this paper, we proposed a new modelling framework to evaluate the relative burden of AMR in natural aquatic environments.

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Diffuse sources of pollution such as sewer leakages, sewer overflows, illicit discharges and stormwater runoff affect the urban surface water quality but often remain unknown. Therefore, the development of chemical markers for identifying and characterizing the origin of diffuse sources of pollution in urban surface waters is a requisite for protecting and managing urban water resources. In this study, the occurrence of 31 emerging contaminants (ECs) in untreated wastewater, treated wastewater, urban stormwater runoff, agricultural stormwater runoff, and freshwater bodies was investigated.

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Four multidrug-resistant Pseudomonas aeruginosa isolates were cultured from intensive care unit wastewater. All isolates exhibited resistance to carbapenem and extended-spectrum beta-lactam antibiotics. Genome characterization revealed the presence of beta-lactamase resistance genes ( and ), and three out of the four isolates carried the gene encoding resistance against carbapenems.

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Fecal indicator bacteria, such as Escherichia coli (E.coli) and Enterococcus, have been widely used to indicate the presence of pathogens. However, the suitability of fecal indicator bacteria to represent health risks is still being challenged, particularly in tropical aquatic environments.

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This study aimed to examine the drivers in shaping the occurrence and distribution of total viruses and picoplankton in tropical freshwater ecosystems. Flow cytometry was used to quantify the concentrations of total viruses, picoheterotrophs, picophytoplankton, and picocyanobacteria. Three land use patterns (urban-, agriculture- and parkland-dominated) were evaluated using ArcGIS.

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Poor microbial water quality jeopardizes the health and safety of food produced by aquaculture farms. Three fish farms and transect sites in Singapore were assessed for microbial water quality and antimicrobial resistance determinants. Of the 33 multidrug resistant E.

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Wet weather conditions have been associated with increased bacterial and viral counts in surface waters. Moreover, heavy rainfall and flooding were found to be the most common events preceding waterborne disease outbreaks associated with extreme weather conditions. This study aimed to examine the effect of rainfall on the quality of surface waters and to determine its suitability for primary contact recreation during wet weather conditions.

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This study seeks to understand the general distribution of virome abundance and diversity in tropical freshwater ecosystems in Singapore and the geospatial distribution of the virome under different landuse patterns. Correlations between diversity, environmental parameters and land use patterns were analyzed and significant correlations were highlighted. Overall, the majority (65.

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Aims: Clear cell sarcoma of the kidney (CCSK) is a rare paediatric renal malignant tumour. The majority of CCSKs have internal tandem duplications (ITDs) of the BCOR gene, whereas a minority have the YWHAE-NUTM2 gene fusion. A third 'double-negative' (DN) category comprises CCSKs with neither BCOR ITDs nor YWHAE-NUTM2 fusion.

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