AI Article Synopsis
- The study investigates the effects of seed priming with Haloprimig (HO) and magnetic field (MF) on a medicinal plant known for treating liver diseases, particularly under seawater stress.
- Findings indicate that while seawater stress reduces growth and increases harmful compounds, HO and MF treatment enhances growth and salinity tolerance, suggesting they help combat the negative effects of salt.
- The results highlight the potential of using HO and MF techniques to improve the plant's physiological traits and resilience against salinity during the early seedling stage.
Article Abstract
(L.) Gaertn is an important medicinal plant and has been used as a traditional medicine for diseases of the liver and biliary tract. The effects of seed priming by HO (Haloprimig) and magnetic field (Magnetopriming, MF) on the impacts of seawater concentration were tested using at the vegetative stage. These plant species accumulate flavonoids especially slimarine that is used in liver treatment. Some soaked seeds were subjected to 0.18 T MF for different time durations (0, 10, 20 and 30 min) and other seeds were soaked in different concentrations of HO (0, 80,160 and 240μM) for 8h. HO priming increased growth and development under water irrigation more than under sea water stress. Moreover, our results uncovered statistical evidence that the priming seeds with HO and MF increased the tolerance of to salinity. In summary, we provide clear evidence that seawater stress caused a highly significant reduction in the growth parameters and stimulation in proline and phenolic compounds. It was concluded that, application of HO and MF of could scavenge or alleviate the harmful effects of salinity stress at early seedling stage and alleviate the oxidative damage leading to improvements in physiological attributes for the plant growth under sea water stress.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6603281 | PMC |
| http://dx.doi.org/10.1016/j.heliyon.2019.e01886 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
The potential role of machine learning and deep learning in differential diagnosis of Alzheimer's disease and FTD using imaging biomarkers: A review.
Neuroradiol J
January 2025
Department of Medical Physics, Faculty of Medicine, Mashhad University of Medical Sciences, Iran.
Introduction: The prevalence of neurodegenerative diseases has significantly increased, necessitating a deeper understanding of their symptoms, diagnostic processes, and prevention strategies. Frontotemporal dementia (FTD) and Alzheimer's disease (AD) are two prominent neurodegenerative conditions that present diagnostic challenges due to overlapping symptoms. To address these challenges, experts utilize a range of imaging techniques, including magnetic resonance imaging (MRI), diffusion tensor imaging (DTI), functional MRI (fMRI), positron emission tomography (PET), and single-photon emission computed tomography (SPECT).
View Article and Find Full Text PDFSynthesis and Characterization of Poly(ethylene furanoate)/Poly(ε-caprolactone) Block Copolymers.
J Am Soc Mass Spectrom
January 2025
Laboratory of Chemistry and Technology of Polymers and Colors, Department of Chemistry, Aristotle University of Thessaloniki, GR-54124 Thessaloniki, Greece.
Biobased poly(ethylene furanoate) (PEF)/poly(ε-caprolactone) (PCL) block copolymers have been synthesized using ring opening polymerization (ROP) of ε-caprolactone (ε-CL) in the presence of PEF in different mass ratios. An increase in intrinsic viscosity is observed for the block copolymers with higher ε-CL content due to the extension of their macromolecular chain. Matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MS) was employed to understand the composition and structure of the produced block copolymers.
View Article and Find Full Text PDFImpacts of variable magnetic field on ternary Casson nanofluid flow through ciliated arterial walls incorporating interfacial nanolayer.
Electromagn Biol Med
January 2025
Department of Applied Mathematics, University of Calcutta, Kolkata, India.
The current investigation explores tri-hybrid mediated blood flow through a ciliary annular model, designed to emulate an endoscopic environment. The human circulatory system, driven by the metachronal ciliary waves, is examined in this study to understand how ternary nanoparticles influence wave-like flow dynamics in the presence of interfacial nanolayers. We also analyze the effect of an induced magnetic field on Ag-Cu-/blood flow within the annulus, focusing on thermal radiation, heat sources, buoyancy forces and ciliary motion.
View Article and Find Full Text PDFBiomarkers.
Alzheimers Dement
December 2024
Bernard and Irene Schwartz Center for Biomedical Imaging, New York University Grossman School of Medicine, New York, NY, USA.
Background: Amyloid related imaging abnormalities (ARIA), a group of neuropathological features seen in anti-amyloid immunotherapy patients, arises partly from CAA (Aβ buildup in blood vessels). Squirrel monkeys (SQMs), developing prominent age-related CAA exceeding brain Aβ, offer a unique NHP model for ARIA study. Evaluating edema-related neurobiological defects (ARIA-E) involves preferential use of T-weighted (T-w) and flow-attenuated inversion recovery (FLAIR) MRI while T*-weighted (T*-w) MRI is better suited for investigating iron-related pathology like microbleeds, hemorrhaging, and iron-homing in plaques.
View Article and Find Full Text PDFBackground: Phase four of the Alzheimer's Disease Neuroimaging Initiative (ADNI4) began in 2023. This time-period corresponded to MRI vendors introducing product sequences with compressed sensing (CS), cross-vendor adoption of arterial spin-labelling (ASL) and multi-band slice excitation, and hardware improvements (head-coils, increased gradient amplitudes). These advances enabled the acquisition of new imaging measures and reduced scan times.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!