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    Risk-Assessment Method to Forecast Health Hazards Correlated with Distribution of NDM-1 Gene in Waterbodies Surrounding Hyderabad, India

    Source: Journal of Environmental Engineering:;2021:;Volume ( 147 ):;issue: 005::page 04021013-1
    Author:
    Rajeev Ranjan
    ,
    Shashidhar Thatikonda
    DOI: 10.1061/(ASCE)EE.1943-7870.0001873
    Publisher: ASCE
    Abstract: The development of pathogenic bacteria encompassing antibiotics-resistant genes (ARGs) is a severe environmental concern related to human health. Among all antibiotics administered to humans, the β-lactam group’s antibiotics account for two-thirds of the total weight due to its clinical effectiveness and low toxicity. This study investigated the abundance of gene NDM-1 (New Delhi metallo-β-lactamase-1) as an emerging contaminant in Hyderabad, India’s water bodies using a quantitative polymerase chain reaction (qPCR). The quantitative microbial risk assessment (QMRA) method was applied to forecast the human health risk linked to ingestion/subjection of surface water with bacteria containing the NDM-1 gene. The gene copy number of the NDM-1 in the exposure route was taken into consideration for the determination of risk in best- and worst-case scenarios. The lowest and highest gene copy numbers were selected as the best-case scenario and the worst-case scenario, respectively. The outlet of Amberpet sewage treatment plant (STP) exhibited the lowest risk, 2×10−2, i.e., 2 of 100 people are exposed to infection. In contrast, Mir Alam tank lake exhibited the highest risk, 77×10−2, i.e., 77 of 100 people are exposed to infection. Risk assessment categorized the sampling locations into low, medium, and high risk of infection. Sampling areas with a low risk of infection included Amberpet STP outlet (2×10−2), Ameenpur lake (24×10−3), Manjeera water treatment plant (WTP) outlet (26×10−3), and Osman Sagar lake (24×10−3). Sampling locations with a medium risk of infection included Alwal lake (23×10−2), Durgamcheru lake (47×10−2), Hussain Sagar lake (21×10−2), Mominpet lake (27×10−2), and Saroor Sagar lake (43×10−2). Sampling zones including Fox Sagar lake (53×10−2), Himayat Sagar lake (70×10−2), Kandi lake (56×10−2), Manjeera dam (66×10−2), Mir Alam tank lake (77×10−2), Nagole lake (54×10−2), Safilguda lake (55×10−2), and Singur dam (57×10−2) were categorized as zones with a high risk of infection. The findings of the occurrence of the NDM-1 gene containing bacteria in water bodies surrounding Hyderabad and its related risk will be valuable for developing strategies to safeguard the public from the threat of clinical risks correlated with the dissemination of NDM-1.
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      Risk-Assessment Method to Forecast Health Hazards Correlated with Distribution of NDM-1 Gene in Waterbodies Surrounding Hyderabad, India

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4271143
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    • Journal of Environmental Engineering

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    contributor authorRajeev Ranjan
    contributor authorShashidhar Thatikonda
    date accessioned2022-02-01T00:14:55Z
    date available2022-02-01T00:14:55Z
    date issued5/1/2021
    identifier other%28ASCE%29EE.1943-7870.0001873.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4271143
    description abstractThe development of pathogenic bacteria encompassing antibiotics-resistant genes (ARGs) is a severe environmental concern related to human health. Among all antibiotics administered to humans, the β-lactam group’s antibiotics account for two-thirds of the total weight due to its clinical effectiveness and low toxicity. This study investigated the abundance of gene NDM-1 (New Delhi metallo-β-lactamase-1) as an emerging contaminant in Hyderabad, India’s water bodies using a quantitative polymerase chain reaction (qPCR). The quantitative microbial risk assessment (QMRA) method was applied to forecast the human health risk linked to ingestion/subjection of surface water with bacteria containing the NDM-1 gene. The gene copy number of the NDM-1 in the exposure route was taken into consideration for the determination of risk in best- and worst-case scenarios. The lowest and highest gene copy numbers were selected as the best-case scenario and the worst-case scenario, respectively. The outlet of Amberpet sewage treatment plant (STP) exhibited the lowest risk, 2×10−2, i.e., 2 of 100 people are exposed to infection. In contrast, Mir Alam tank lake exhibited the highest risk, 77×10−2, i.e., 77 of 100 people are exposed to infection. Risk assessment categorized the sampling locations into low, medium, and high risk of infection. Sampling areas with a low risk of infection included Amberpet STP outlet (2×10−2), Ameenpur lake (24×10−3), Manjeera water treatment plant (WTP) outlet (26×10−3), and Osman Sagar lake (24×10−3). Sampling locations with a medium risk of infection included Alwal lake (23×10−2), Durgamcheru lake (47×10−2), Hussain Sagar lake (21×10−2), Mominpet lake (27×10−2), and Saroor Sagar lake (43×10−2). Sampling zones including Fox Sagar lake (53×10−2), Himayat Sagar lake (70×10−2), Kandi lake (56×10−2), Manjeera dam (66×10−2), Mir Alam tank lake (77×10−2), Nagole lake (54×10−2), Safilguda lake (55×10−2), and Singur dam (57×10−2) were categorized as zones with a high risk of infection. The findings of the occurrence of the NDM-1 gene containing bacteria in water bodies surrounding Hyderabad and its related risk will be valuable for developing strategies to safeguard the public from the threat of clinical risks correlated with the dissemination of NDM-1.
    publisherASCE
    titleRisk-Assessment Method to Forecast Health Hazards Correlated with Distribution of NDM-1 Gene in Waterbodies Surrounding Hyderabad, India
    typeJournal Paper
    journal volume147
    journal issue5
    journal titleJournal of Environmental Engineering
    identifier doi10.1061/(ASCE)EE.1943-7870.0001873
    journal fristpage04021013-1
    journal lastpage04021013-7
    page7
    treeJournal of Environmental Engineering:;2021:;Volume ( 147 ):;issue: 005
    contenttypeFulltext
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