The effects of depth and climate seasonality on zooplankton, algal biomass, coliforms and Escherichia coli in a small full-scale shallow maturation pond receiving pre-treated domestic wastewater were evaluated during a tropical climatic seasonal cycle. The experiment revealed that the zooplankton community was dominated by rotifers and protozoans, and concentrations were influenced by seasonality. A negative correlation between zooplankton, and pH, dissolved oxygen, temperature and ultraviolet radiation, and chlorophyll-a and Escherichia coli were observed at all depths. The major driving forces influencing Escherichia coli were pH, dissolved oxygen, ultraviolet radiation and the zooplankton. A significant difference between Escherichia coli removal throughout the three different depths were observed. Both bacterial and zooplankton concentrations were greater closer to the bottom of the pond, therefore reinforcing the integral role of solar radiation on bacterial removal. These results give an insight on the dynamics of these groups in pond systems treating domestic wastewater, by correlating the variation of zooplankton with biotic and abiotic variables and seasonal changes in a tropical climate, where few studies have been performed on this topic.
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http://dx.doi.org/10.2166/wst.2021.268 | DOI Listing |
J Inflamm Res
January 2025
Department of Pharmacology, School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, People's Republic of China.
Background: Chronic kidney disease (CKD) is a progressive condition that arises from diverse etiological factors, resulting in structural alterations and functional impairment of the kidneys. We aimed to establish the Anoikis-related gene signature in CKD by bioinformatics analysis.
Methods: We retrieved 3 datasets from the Gene Expression Omnibus (GEO) database to obtain differentially expressed genes (DEGs), followed by Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, Gene Set Enrichment Analysis (GSEA) and Gene Set Variation Analysis (GSVA) of them, which were intersected with Anoikis-related genes (ARGs) to derive Anoikis-related differentially expressed genes (ARDEGs).
This study, conducted between June 2022 and March 2023 in Dhaka, examined prevalence in 874 samples from vegetables, vegetable wash water, and hand swabs from vendors during summer and winter. Of the total samples, 782 (89.50%) tested positive for , with 95.
View Article and Find Full Text PDFPak J Med Sci
January 2025
Ikram Din Ujjan, PhD Department of Pathology, Liaquat University of Medical and Health Sciences, Jamshoro, Pakistan.
Objective: To determine the prevalence of antimicrobial resistance (AMR) in isolated from urine cultures of patients with uncomplicated cystitis in Pakistan. Another objective was to analyze and compare the resistance rates of to specific antibiotics, conducting a year-by-year evaluation of these rates to identify trends and changes over the past seven years.
Methods: Retrospective analysis of susceptibility data of isolated from midstream urine culture samples of patients presenting in outpatient department with uncomplicated cystitis, from January 2016 to December 2022 in the section of Microbiology, Liaquat University of Medical and Health Sciences was done.
Background And Aims: Urinary tract infections (UTIs) are a prevalent bacterial infection that has substantial implications for healthcare on a global scale. () is a gram-negative rod responsible for most UTI cases. ESBL-producing is widely recognized as a significant contributor to antibiotic resistance.
View Article and Find Full Text PDFFront Chem
January 2025
Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, East China University of Science and Technology, Shanghai, China.
Cyclic di-guanosine monophosphate (c-di-GMP) acts as a second messenger regulating bacterial behaviors including cell cycling, biofilm formation, adhesion, and virulence. Monitoring c-di-GMP levels is crucial for understanding these processes and designing inhibitors to combat biofilm-related antibiotic resistance. Here, we developed a genetically encoded biosensor, cdiGEBS, based on the transcriptional activity of the c-di-GMP-responsive transcription factor MrkH.
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