In natural ecosystems, organisms are commonly exposed to chemical mixtures rather than individual compounds. However, environmental risk is traditionally assessed based on data of individual compounds. In the present study, we aimed to investigate the individual and combined effects of four pesticides [fenobucarb (FEN), chlorpyrifos (CPF), clothianidin (CLO), acetochlor (ACE)] and one heavy metal chromium [Cr(Ⅵ)] on the earthworm (Eisenia fetida) using avoidance behavior as an endpoint. Our results indicated that CLO had the highest toxicity to E. fetida, followed by Cr(Ⅵ), while FEN showed the least toxicity. Two mixtures of CPF+CLO and Cr(Ⅵ)+CPF+CLO+ACE exhibited synergistic effects on the earthworms. The other two quaternary mixtures of CLO+FEN+ACE+Cr(Ⅵ) and Cr(Ⅵ)+FEN+CPF+ACE at low concentrations also displayed synergistic effects on the earthworms. In contrast, the mixture of Cr(Ⅵ)+FEN had the strongest antagonistic effects on E. fetida. Besides, the quinquenary mixture of Cr(Ⅵ)+FEN+CPF+CLO+ACE also exerted antagonistic effects. These findings highlighted the importance to evaluate chemical mixtures. Moreover, our data strongly pointed out that the avoidance tests could be used to assess the effects of combined effects.
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http://dx.doi.org/10.1016/j.ecoenv.2018.03.067 | DOI Listing |
Clin Implant Dent Relat Res
February 2025
Department of Implantology, The Affiliated Hospital of Stomatology, School of Stomatology, Zhejiang University School of Medicine, Hangzhou, China.
Objectives: This study aimed to assess the effects of deproteinized bovine bone mineral with collagen (DBBMC) combined with deproteinized bovine bone mineral (DBBM) on facial alveolar bone augmentation in the anterior maxillary region.
Materials And Methods: Patients receiving dental implant placement with simultaneous lateral bone augmentation using DBBM (control group) or DBBMC combined with DBBM (test group) were included in the study. The radiographic assessment of facial alveolar bone, such as facial horizontal bone thickness (FHBT), facial vertical bone level (FVBL), and square of facial bone (SFB), was taken by cone beam computed tomography (CBCT).
BMC Pharmacol Toxicol
January 2025
Department of Pharmaceutics and Pharmaceutical Technology, Kampala International University, Western Campus, P.O. Box 71, Ishaka - Bushenyi, Uganda.
Background: Piperine, a secondary metabolite, affects the antihyperlipidemic effect of Ezetimibe (EZ). Hyperlipidemia is one of the independent risk factors for cardiovascular disorders such as atherosclerosis. Antihyperlipidemic drugs are essential for reducing cardiovascular events and patient mortality.
View Article and Find Full Text PDFJ Exp Clin Cancer Res
January 2025
Hepatology Laboratory, Solid Tumors Program, CIMA, CCUN, University of Navarra, Pamplona, Spain.
Background: Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive cancer with limited treatment options and a poor prognosis. The critical role of epigenetic alterations such as changes in DNA methylation, histones modifications, and chromatin remodeling, in pancreatic tumors progression is becoming increasingly recognized. Moreover, in PDAC these aberrant epigenetic mechanisms can also limit therapy efficacy.
View Article and Find Full Text PDFSyst Rev
January 2025
Department of Research Methods in Health Promotion and Prevention, Institute for Health Sciences, University of Education Schwäbisch Gmünd, Oberbettringer Straße 200, Schwäbisch Gmünd, 73525, Germany.
Background: Delphi studies are primarily used in the health sciences to find consensus. They inform clinical practice and influence structures, processes, and framework conditions of healthcare. The practical research-how Delphi studies are conducted-has seldom been discussed methodologically or documented systematically.
View Article and Find Full Text PDFPart Fibre Toxicol
January 2025
State Key Laboratory of Radiation Medicine and Protection, School of Radiation Medicine and Protection, Suzhou Medical School, Soochow University, Suzhou, Jiangsu, 215123, China.
Background: The advancement of nanotechnology underscores the imperative need for establishing in silico predictive models to assess safety, particularly in the context of chronic respiratory afflictions such as lung fibrosis, a pathogenic transformation that is irreversible. While the compilation of predictive descriptors is pivotal for in silico model development, key features specifically tailored for predicting lung fibrosis remain elusive. This study aimed to uncover the essential predictive descriptors governing nanoparticle-induced pulmonary fibrosis.
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