Role of syringic acid in enhancing growth, photosynthesis, and antioxidant defense in lettuce exposed to arsenic stress.

Heavy metal pollution, especially arsenic toxicity, significantly impairs plant growth and development. Phenolic acids, known for their antioxidant properties and involvement in stress signaling, are gaining increased attention as plant secondary metabolites with the potential to enhance plant resistance to these stressors. This study aimed to investigate the effects of different concentrations of syringic acid (SA1, 10 μM; SA2, 250 μM; SA3, 500 μM) on growth, photosynthetic parameters, and antioxidant activity in lettuce seedlings subjected to arsenic stress (As, 100 μM).

Baseline and Follow-Up Cardiac Magnetic Resonance Imaging Findings in Children with Acute Myocarditis and Factors Associated with Late Gadolinium Enhancement.

: Cardiac magnetic resonance (CMR) plays a central role in the diagnosis and follow-up of acute myocarditis (AM). In this study, we aimed to evaluate baseline and follow-up CMR findings and associated factors in children with AM. : A retrospective analysis of CMR in pediatric patients with clinical presentations suggestive of myocarditis was performed.

Coexistence of phenylketonuria and tyrosinemia type 3: challenges in the dietary management.

Objectives: Phenylketonuria (PKU) and tyrosinemia type 3 (HT3) are both rare autosomal recessive disorders of phenylalanine-tyrosine metabolism. PKU is caused by a deficiency in phenylalanine hydroxylase (PAH), leading to elevated phenylalanine (Phe) and reduced tyrosine (Tyr) levels. HT3, the rarest form of tyrosinemia, is due to a deficiency in 4-hydroxyphenylpyruvate dioxygenase (HPD).

Spontaneously regressing mass-like soft tissue involvement in a child with chronic non-bacterial osteomyelitis: case-based review.

Chronic non-bacterial osteomyelitis (CNO) is an inflammatory bone disease, usually diagnosed in childhood. It is characterized by the presence of multifocal or unifocal osteolytic lesions that can cause bone pain and soft tissue swelling. CNO is known to have soft tissue involvement.

Functional Brain Network Disruptions in Parkinson's Disease: Insights from Information Theory and Machine Learning.

This study investigates disruptions in functional brain networks in Parkinson's Disease (PD), using advanced modeling and machine learning. Functional networks were constructed using the Nonlinear Autoregressive Distributed Lag (NARDL) model, which captures nonlinear and asymmetric dependencies between regions of interest (ROIs). Key network metrics and information-theoretic measures were extracted to classify PD patients and healthy controls (HC), using deep learning models, with explainability methods employed to identify influential features.