Seawater detection and biological assessments regarding transmission of the oyster parasite Mikrocytos mackini using qPCR

2017 ◽  
Vol 126 (2) ◽  
pp. 143-153 ◽  
Author(s):  
MP Polinski ◽  
GR Meyer ◽  
GJ Lowe ◽  
CL Abbott
2021 ◽  
Vol 83 (3) ◽  
pp. 1211-1220 ◽  
Author(s):  
Maria I. Lazarova ◽  
Daniela S. Tsekova ◽  
Lyubka P. Tancheva ◽  
Kiril T. Kirilov ◽  
Diamara N. Uzunova ◽  
...  

Background: Inhibitors of acetylcholinesterase (AChE) are used to treat many disorders, among which are neurodegenerative upsets, like Alzheimer’s disease (AD). One of the limited licensed AChE inhibitors (AChEIs) used as drugs is the natural compound galantamine (Gal). Objective: As Gal is a toxic compound, here we expose data about its four derivatives in hybrid peptide-norgalantamine molecules, which have shown 100 times lower toxicity. Methods: Four newly synthesized galantamine derivatives have been involved in docking analysis made by Molegro Virtual Docker. Biological assessments were performed on ICR male mice. The change in short and long-term memory performance was evaluated by passive avoidance test. AChE activity and levels of main oxidative stress parameters: lipid peroxidation, total glutathione (GSH), enzyme activities of catalase (CAT), superoxide dismutase, and glutathione peroxidase were measured in brain homogenates. Results: Our experimental data revealed that the new hybrid molecules did not impair memory performance in healthy mice. Two of the compounds demonstrated better than Gal AChE inhibitory activity in the brain. None of them changed the level of lipid peroxidation products, one of the compounds increased GSH levels, and all of them increased CAT enzyme activity. Conclusion: The new galantamine-peptide hybrids demonstrated a potential for inhibition of AChE and antioxidant activity and deserve further attention.


Author(s):  
Fatimah Temitayo Ishola ◽  
Sherifat Adeyinka Aboaba ◽  
Muhammad Iqbal Choudhary ◽  
Olusegun Ekundayo

BioScience ◽  
2020 ◽  
Vol 70 (5) ◽  
pp. 427-438 ◽  
Author(s):  
Núria Cid ◽  
Núria Bonada ◽  
Jani Heino ◽  
Miguel Cañedo-Argüelles ◽  
Julie Crabot ◽  
...  

Abstract Rapid shifts in biotic communities due to environmental variability challenge the detection of anthropogenic impacts by current biomonitoring programs. Metacommunity ecology has the potential to inform such programs, because it combines dispersal processes with niche-based approaches and recognizes variability in community composition. Using intermittent rivers—prevalent and highly dynamic ecosystems that sometimes dry—we develop a conceptual model to illustrate how dispersal limitation and flow intermittence influence the performance of biological indices. We produce a methodological framework integrating physical- and organismal-based dispersal measurements into predictive modeling, to inform development of dynamic ecological quality assessments. Such metacommunity-based approaches could be extended to other ecosystems and are required to underpin our capacity to monitor and protect ecosystems threatened under future environmental changes.


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