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  1. Article ; Online: Lipoxygenase inhibitory synthetic derivatives of methyl gallate regulate gene expressions of COX-2 and cytokines to reduce animal model arthritis.

    Sharanya, C S / Abhithaj, J / Arun, K G / Eeda, Koti Reddy / Bhat, Vignesh / Variyar, E J / Sabu, A / Haridas, M

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 10644

    Abstract: Mammalian lipoxygenases (LOXs) are involved in the biosynthesis of mediators of anaphylactic reactions and have been implicated in cell maturation, the pathogenesis of bronchial asthma, atherosclerosis, rheumatoid arthritis, cardiovascular diseases, ... ...

    Abstract Mammalian lipoxygenases (LOXs) are involved in the biosynthesis of mediators of anaphylactic reactions and have been implicated in cell maturation, the pathogenesis of bronchial asthma, atherosclerosis, rheumatoid arthritis, cardiovascular diseases, Alzheimer's disease and osteoporosis. Hence LOX inhibition in chronic conditions can lead to reducing the disease progression, which can be a good target for treating these diseases. The present study deals with designing methyl gallate derivatives and their anti-inflammatory effect by in silico, in vitro and in vivo methods. Designed derivatives were docked against LOX enzyme, and molecular dynamic simulations were carried out. Following the synthesis of derivatives, in vitro LOX inhibition assay, enzyme kinetics and fluorescence quenching studies were performed. One of the derivatives of methyl gallate (MGSD 1) was demonstrated as an anti-inflammatory agent for the treatment of rheumatoid arthritis in the animal model. Amelioration of Freund's complete adjuvant (FCA)-induced arthritis by methyl gallate and its derivative with a concentration of 10-40 mg.kg
    MeSH term(s) Animals ; Cytokines ; Lipoxygenase ; Cyclooxygenase 2/genetics ; Tumor Necrosis Factor-alpha ; Diclofenac ; Arthritis, Rheumatoid ; Lipoxygenases ; Gene Expression ; Mammals
    Chemical Substances Cytokines ; Lipoxygenase (EC 1.13.11.12) ; Cyclooxygenase 2 (EC 1.14.99.1) ; Tumor Necrosis Factor-alpha ; methyl gallate (623D3XG80C) ; Diclofenac (144O8QL0L1) ; Lipoxygenases (EC 1.13.11.-)
    Language English
    Publishing date 2023-06-30
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-37613-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Multivariate statistics and water quality index (WQI) approach for geochemical assessment of groundwater quality—a case study of Kanavi Halla Sub-Basin, Belagavi, India

    B Patil, Venkanagouda Bhimanagouda / Pinto, Shannon Meryl / Govindaraju, Thejashree / Hebbalu, Virupaksha Shivakumar / Bhat, Vignesh / Kannanur, Lokesh Nanjappa

    Environmental geochemistry and health. 2020 Sept., v. 42, no. 9

    2020  

    Abstract: Groundwater quality analysis has become essentially important in the present world scenario. In recent years, advanced technologies have replaced the traditional ones which are being helpful in simplifying the complex works. In this study, multivariate ... ...

    Abstract Groundwater quality analysis has become essentially important in the present world scenario. In recent years, advanced technologies have replaced the traditional ones which are being helpful in simplifying the complex works. In this study, multivariate statistical analysis is carried out with the help of SPSS software for 45 groundwater samples of Kanavi Halla Sub-Basin (KHSB). The quality of groundwater is determined for various parameters which were analyzed and their concentration is correlated with other parameters using correlation matrix. The PCA technique is applied on water quality parameters, from which four components are extracted with 80.28% total variance. The extracted components suggest that the sources behind the higher loadings of each factor are by geological, agricultural, rainfall, domestic wastewater and industrial activities. Results of the Kaiser–Meyer–Olkin and Bartlett’s test conducted have value of 0.659 which is greater than the standard value (0.5). Based on water quality index (WQI), it was noticeably depicted that 2/3rd of the KHSB groundwater quality falls under poor to very poor condition, and hardly 26% of groundwater available is portable. Thus, this study contributes the effective use of multivariate statistics and WQI analysis for groundwater quality. It helps in understanding the hydro-geochemistry of the groundwater and also aids in minimizing the larger set of data into smaller set with effective interpretation.
    Keywords case studies ; computer software ; geochemistry ; groundwater ; multivariate analysis ; municipal wastewater ; rain ; variance ; water quality ; India
    Language English
    Dates of publication 2020-09
    Size p. 2667-2684.
    Publishing place Springer Netherlands
    Document type Article
    Note NAL-AP-2-clean
    ZDB-ID 52039-1
    ISSN 1573-2983 ; 0142-7245 ; 0269-4042
    ISSN (online) 1573-2983
    ISSN 0142-7245 ; 0269-4042
    DOI 10.1007/s10653-019-00500-6
    Database NAL-Catalogue (AGRICOLA)

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  3. Article ; Online: Multivariate statistics and water quality index (WQI) approach for geochemical assessment of groundwater quality-a case study of Kanavi Halla Sub-Basin, Belagavi, India.

    B Patil, Venkanagouda Bhimanagouda / Pinto, Shannon Meryl / Govindaraju, Thejashree / Hebbalu, Virupaksha Shivakumar / Bhat, Vignesh / Kannanur, Lokesh Nanjappa

    Environmental geochemistry and health

    2020  Volume 42, Issue 9, Page(s) 2667–2684

    Abstract: Groundwater quality analysis has become essentially important in the present world scenario. In recent years, advanced technologies have replaced the traditional ones which are being helpful in simplifying the complex works. In this study, multivariate ... ...

    Abstract Groundwater quality analysis has become essentially important in the present world scenario. In recent years, advanced technologies have replaced the traditional ones which are being helpful in simplifying the complex works. In this study, multivariate statistical analysis is carried out with the help of SPSS software for 45 groundwater samples of Kanavi Halla Sub-Basin (KHSB). The quality of groundwater is determined for various parameters which were analyzed and their concentration is correlated with other parameters using correlation matrix. The PCA technique is applied on water quality parameters, from which four components are extracted with 80.28% total variance. The extracted components suggest that the sources behind the higher loadings of each factor are by geological, agricultural, rainfall, domestic wastewater and industrial activities. Results of the Kaiser-Meyer-Olkin and Bartlett's test conducted have value of 0.659 which is greater than the standard value (0.5). Based on water quality index (WQI), it was noticeably depicted that 2/3rd of the KHSB groundwater quality falls under poor to very poor condition, and hardly 26% of groundwater available is portable. Thus, this study contributes the effective use of multivariate statistics and WQI analysis for groundwater quality. It helps in understanding the hydro-geochemistry of the groundwater and also aids in minimizing the larger set of data into smaller set with effective interpretation.
    MeSH term(s) Agriculture ; Environmental Monitoring/methods ; Groundwater/analysis ; Groundwater/chemistry ; Hydrology/methods ; Hydrology/statistics & numerical data ; India ; Industry ; Multivariate Analysis ; Waste Water ; Water Quality
    Chemical Substances Waste Water
    Language English
    Publishing date 2020-01-03
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 52039-1
    ISSN 1573-2983 ; 0142-7245 ; 0269-4042
    ISSN (online) 1573-2983
    ISSN 0142-7245 ; 0269-4042
    DOI 10.1007/s10653-019-00500-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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