The present study was undertaken to evaluate under in vivo condition the effects of α-linolenic acid and α-eleostearic acid against methyl mercury (MeHg) induced oxidative stress. Male albino rats were divided into six groups. Group 1 was under normal control and Group 2 was treated with methyl mercury chloride (MeHgCl; 5 mg/kgBW/day). Groups 3, 4, 5 and 6 were orally treated with different doses of the two fatty acids (0.5% and 1.0% of total lipid given for each kind of linolenic acid isomer) along with MeHgCl (5mg/kgBW). Comet assay of blood lymphocytes showed that administration of α-linolenic acid reduced DNA damage significantly (P<0.05). Results also showed that activity of antioxidant enzymes of plasma and brain tissue and total antioxidant capacity in plasma decreased significantly due to oxidative stress generated by MeHgCl. Administration in higher dose of both kind of linolenic acid restored all the activities of the antioxidant enzymes and also reduced lipid peroxidation and increased total antioxidant capacity in plasma. Both kinds of linolenic acid successfully maintained the RBC membrane integrity which was totally disrupted and became flat due to MeHgCl stress. α-Linolenic acid was more efficient antioxidant than α-eleostearic acid against oxidative DNA damage.
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http://dx.doi.org/10.1016/j.fct.2012.05.038 | DOI Listing |
J Med Chem
January 2025
Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Universitetsparken 2, DK-2100 Copenhagen, Denmark.
The Ca/calmodulin-dependent protein kinase II α (CaMKIIα) plays a crucial role in regulating neuronal signaling and higher brain functions, being involved in various brain diseases. Utilization of small molecules targeting the CaMKIIα hub domain has proved to be a promising strategy for specific CaMKIIα modulation and future therapy. Through an structure-based virtual screening campaign, we herein identified 2-arylthiazole-4-carboxylic acids as a new class of high-affinity CaMKIIα hub ligands.
View Article and Find Full Text PDFJ Chem Inf Model
January 2025
Geneis (Beijing) Co. Ltd., Beijing 100102, China.
Identification of potential drug-target interactions (DTIs) is a crucial step in drug discovery and repurposing. Although deep learning effectively deciphers DTIs, most deep learning-based methods represent drug features from only a single perspective. Moreover, the fusion method of drug and protein features needs further refinement.
View Article and Find Full Text PDFActa Bioeng Biomech
June 2024
1Institute of Applied Sciences, Academy of Physical Education, Kraków, Poland.
: The aim of this study was to investigate the effect of substrate - polycaprolactone (PCL)-based porous membrane modified with rosmarinic acid (RA), (PCL-RA) and to determine the optimal values of low field laser irradiation (LLLT) as stimulators of biological response of RAW 264.7 macrophages. : The porous polymer membrane was obtained by the phase inversion method, the addition of rosmarinic acid was 1%wt.
View Article and Find Full Text PDFThe prognosis for patients with acute promyelocytic leukemia (APL) has improved dramatically since the introduction of all-trans retinoic acid (ATRA) and intravenous arsenic trioxide (ATO). However, ATO administration requires daily infusions over several months, representing an onerous burden for hospitals and patients. We evaluated the bioavailability of a novel encapsulated oral ATO formulation in APL patients in first complete remission during standard-of-care consolidation.
View Article and Find Full Text PDFAnal Chem
January 2025
Department of Bioengineering, University of Washington, SeattleWashington98195, United States.
Cell-to-cell heterogeneity in lipid signaling underlies variations in response and recurrence for many cancers, including leukemias. A highly parallel, miniaturized thin-layer chromatographic platform capable of assaying single cells was developed. Ultrasmall volumes (50 pL) of standard fluorescent lipids were separated with excellent repeatability, reproducibility, and limits of detection.
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