Spatiotemporal distribution of opportunistic pathogens and microbial community in centralized rural drinking water: One year survey in China

Zhou, Qiao-Mei; Huang, Jingang; Guo, Kangyin; Lou, Yucheng; Wang, Haibo; Zhou, Renke; Tang, Junhong

doi:10.1016/j.envres.2022.115045

Cited by 9 publications

(5 citation statements)

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“…Microbial drinking after quality is essential to public health and the economic development of society (Abkar et al, 2024;Figueras and Borrego, 2010;Wen et al, 2020). The microbial community in drinking water is highly diverse and ever-changing spatiotemporally, especially in engineered water systems (Ashbolt, 2015;Jing et al, 2023;Zhou et al, 2023b). Therefore, monitoring and ensuring microbial drinking water quality is complex, time-consuming, and often ineffective with conventional assays.…”

Section: Machine Learning To Ensure Safe Drinking Water Supply From T...mentioning

confidence: 99%

Machine Learning to Access and Ensure Safe Drinking Water Supply: A Systematic Review

Feng,

Zhang,

Chen

et al. 2024

Preprint

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Drinking water is essential to public health and socioeconomic growth. Therefore, assessing and ensuring drinking water supply is a critical task in modern society. Conventional approaches to analyzing and controlling drinking water quality are labor-intensive and costly with a low throughput. Machine learning (ML) is an alternative, promising technique to assess and ensuring safe drinking water supply. Existing reviews have summarized the applications of ML in safe drinking water supply from different aspects. However, a state-of-the-art, comprehensive review is missing that focuses on applying ML to monitor, simulate, predict, and control drinking water quality, especially in municipal engineered water systems. This review, therefore, critically compiles the applications of ML in assessing and ensuring water quality in engineered water systems. To be comprehensive, we also cover the applications of ML in other drinking-water-related settings such as water sources and water purification processes. We explain the basic mechanics and workflows of ML, focusing on the applications of ML to access and control key factors or etiologies in drinking water from the physical, chemical, and microbiological aspects. Those factors or etiologies affect water quality and public health, such as water pipeline failures, disinfectant by-products, heavy metals, opportunistic pathogens, biofilms, and antimicrobial resistance genes. We then illustrate the distribution of ML models across research topics in safe drinking water supply. Finally, we discuss the challenges and outlooks for the applications of machine learning in safe drinking water supply. This is the first review summarizing the feasibility and applications of ML in assessing and ensuring water quality in municipal engineered water systems as well as other related water environments.

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Section: Machine Learning To Ensure Safe Drinking Water Supply From T...mentioning

confidence: 99%

Machine Learning to Access and Ensure Safe Drinking Water Supply: A Systematic Review

Feng,

Zhang,

Chen

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…When raw water passes through coarse filtration and fine filtration equipment, as well as a two-stage reverse osmosis system, the detection rate of Pseudomonas increases significantly [45], indicating that certain equipment in the production line may not be functioning optimally, or the filtration membrane and other devices are not replaced in time, which increases the Pseudomonas contamination rate. Because the geographical location of water sources or distances from living areas are different, the degree of microbial pollution is different [4,6,46,47]. According to FDA standards, P. aeruginosa cannot be detected.…”

Section: Risk Analysis Of Pseudomonas Contaminationmentioning

confidence: 99%

“…However, there are no restrictions on other species of Pseudomonas. Concerns regarding the presence of Pseudomonas in PPDW are growing as the combination of suitable temperatures [6], low flow rates and poor nutrients makes PPDW an ideal environment for Pseudomonas proliferation and biofilm formation [48].…”

Section: Risk Analysis Of Pseudomonas Contaminationmentioning

confidence: 99%

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Anti-Biofilm Activity of Chlorogenic Acid against Pseudomonas Using Quorum Sensing System

Wang,

Cao,

Pei

et al. 2023

Foods

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Chlorogenic acid is a secondary metabolite produced by many traditional Chinese medicines. Its physiological activities (antibacterial, anti-inflammatory, antioxidant activities, etc.) have been well described. This study aimed to investigate the effects of chlorogenic acid on the biofilm of drinking water bacteria. The effects of chlorogenic acid on the metabolites of the biofilms were also evaluated. Chlorogenic acid was found to have an anti-biofilm effect against Pseudomonas, resulting in biofilm formation in a dose-dependent manner (0.53–25.4 mM CGA). Moreover, the biofilm structure was visibly attenuated. Furthermore, we identified and characterized 23 differential metabolites and associated two metabolic pathways involving beta-alanine metabolism and pyrimidine metabolism that were altered mostly during biofilm formation. A quantitative real-time PCR assay revealed that chlorogenic acid interfered with the signaling molecule synthesis and transcription regulators using the Las, Pqs and Rhl systems. These findings suggest that chlorogenic acid can be a quorum sensing (QS) inhibitor and inhibit biofilm formation. It may be a promising natural product for the prevention of contaminated drinking water.

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“…Acanthamoeba species, are free-living microorganisms widely distributed in soil, water, and vegetation around the world ( Andalib et al., 2022 ; Zhou et al., 2022 ), posing a serious public health concern. Outbreaks of amoebic keratitis have afflicted developed countries, such as New Zealand, USA, and UK ( Carnt et al., 2018 ; McKelvie et al., 2018 ; Scruggs et al., 2019 ), as well as developing countries in various public water sources ( Masangkay et al., 2022 ; Elseadawy et al., 2023 ).…”

Section: Introductionmentioning

confidence: 99%

Novel anti-Acanthamoeba effects elicited by a repurposed poly (ADP-ribose) polymerase inhibitor AZ9482

Chen,

Han,

Jing

et al. 2024

Front. Cell. Infect. Microbiol.

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IntroductionAcanthamoeba infection is a serious public health concern, necessitating the development of effective and safe anti-Acanthamoeba chemotherapies. Poly (ADP-ribose) polymerases (PARPs) govern a colossal amount of biological processes, such as DNA damage repair, protein degradation and apoptosis. Multiple PARP-targeted compounds have been approved for cancer treatment. However, repurposing of PARP inhibitors to treat Acanthamoeba is poorly understood.MethodsIn the present study, we attempted to fill these knowledge gaps by performing anti-Acanthamoeba efficacy assays, cell biology experiments, bioinformatics, and transcriptomic analyses.ResultsUsing a homology model of Acanthamoeba poly (ADP-ribose) polymerases (PARPs), molecular docking of approved drugs revealed three potential inhibitory compounds: olaparib, venadaparib and AZ9482. In particular, venadaparib exhibited superior docking scores (−13.71) and favorable predicted binding free energy (−89.28 kcal/mol), followed by AZ9482, which showed a docking score of −13.20 and a binding free energy of −92.13 kcal/mol. Notably, the positively charged cyclopropylamine in venadaparib established a salt bridge (through E535) and a hydrogen bond (via N531) within the binding pocket. For comparison, AZ9482 was well stacked by the surrounding aromatic residues including H625, Y652, Y659 and Y670. In an assessment of trophozoites viability, AZ9482 exhibited a dose-and time-dependent anti-trophozoite effect by suppressing Acanthamoeba PARP activity, unlike olaparib and venadaparib. An Annexin V-fluorescein isothiocyanate/propidium iodide apoptosis assay revealed AZ9482 induced trophozoite necrotic cell death rather than apoptosis. Transcriptomics analyses conducted on Acanthamoeba trophozoites treated with AZ9482 demonstrated an atlas of differentially regulated proteins and genes, and found that AZ9482 rapidly upregulates a multitude of DNA damage repair pathways in trophozoites, and intriguingly downregulates several virulent genes. Analyzing gene expression related to DNA damage repair pathway and the rate of apurinic/apyrimidinic (AP) sites indicated DNA damage efficacy and repair modulation in Acanthamoeba trophozoites following AZ9482 treatment.DiscussionCollectively, these findings highlight AZ9482, as a structurally unique PARP inhibitor, provides a promising prototype for advancing anti-Acanthamoeba drug research.

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Spatiotemporal distribution of opportunistic pathogens and microbial community in centralized rural drinking water: One year survey in China

Cited by 9 publications

References 50 publications

Machine Learning to Access and Ensure Safe Drinking Water Supply: A Systematic Review

Machine Learning to Access and Ensure Safe Drinking Water Supply: A Systematic Review

Anti-Biofilm Activity of Chlorogenic Acid against Pseudomonas Using Quorum Sensing System

Novel anti-Acanthamoeba effects elicited by a repurposed poly (ADP-ribose) polymerase inhibitor AZ9482

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