Mitochondrial dysfunction plays a critical role in the development of metabolic dysfunction-associated steatotic liver disease (MASLD). It has been proposed that mitochondrial unfolded-protein response (UPR mt ) activation improves mitochondrial function in the liver. Growing evidence demonstrates that physical exercise effectively prevents and treats MASLD. However, the effects of exercise on UPR mt activation in the liver ar...

We evaluated endolithic fungal diversity associated with rocks sampled at the polyextreme Brazilian São Pedro and São Paulo archipelago using a DNA amplicon metagenomics approach. We detected 808,547 fungal DNA reads grouped into 92 amplicon sequence variants (ASVs). The rocks sampled were geologically characterized as mylonitized peridotites, serpentinized peridotites, and carbonate-matrix sedimentary breccias. Ascomycota was...

Conventional bivalve depuration protocols may compromise organoleptic and nutritional quality, largely as a consequence of fasting. This study investigates an innovative post-depuration feeding strategy in the clam Ruditapes decussatus using microencapsulated diets containing Nannochloropsis sp. supplemented with either a standard dose of vitamins C and E (MV) or a high dose—4× the standard level—of these vitamins (MV+). A thr...

Aim We investigate the distribution of dispersal modes — endozoochory (via animal ingestion), synzoochory (via animal seed accumulation) and anemochory (via wind)—and seed mass of woody plants across Brazilian ecosystems, testing whether their relative abundance in local plant communities could be predicted by climate, edaphic factors and dispersal agents (e.g., the main vectors moving seeds). We expected climate to be the mai...

In this paper, we present a powerful, compact electrocardiogram (ECG) classification algorithm for cardiac arrhythmia diagnosis that addresses the current reliance on deep learning and convolutional neural networks (CNNs) in ECG analysis. This work aims to reduce the demand for deep learning, which often requires extensive computational resources and large labeled datasets. Our approach introduces an artificial neural network...

During production, fish are exposed to multiple environmental, physiological, and physical stressors, which compromise development, productivity, and welfare and urge the implementation of effective and safe stress-mitigating strategies, particularly during early developmental stages. Larval zebrafish (Danio rerio) constitute a powerful model for studying acute stress responses due to the numerous advantages they offer, such a...

The global seafood industry faces persistent challenges related to product quality, safety, and authenticity, driven by complex supply chains, increasing demand, and the perishable nature of aquatic products. Traditional analytical methods often fall short in providing rapid, comprehensive, and non-destructive insights into the intricate biochemical changes occurring in seafood. 1H Nuclear Magnetic Resonance (1H NMR) spectrosc...