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Diversity patterns and knowledge gaps of Atlantic Forest epiphyllous bryophytes: a highly neglected group.

Ann Bot

January 2025

Laboratório de Ecologia e Biogeografia de Plantas, Departamento de Biodiversidade, Setor Palotina, Universidade Federal do Paraná, Rua Pioneiro, 2153, Jardim Dallas, CEP 85950 000, Palotina, Paraná, Brazil.

Background: Epiphyllous bryophytes are a group of plants with complex adaptations to colonize the leaves of vascular plants and are considered one of the most specialized and sensitive groups to environmental changes. Despite their specificity and ecological importance, these plants represent a largely neglected group in relation to scientific research and ecological data. This lack of information directly affects our understanding of biodiversity patterns and compromises the conservation of this group in threatened ecosystems.

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TRPV4 as a Novel Regulator of Ferroptosis in Colon Adenocarcinoma: Implications for Prognosis and Therapeutic Targeting.

Dig Dis Sci

January 2025

Ningxia Medical University, Xing Qing Block, Shengli Street No.1160, Yin Chuan City, 750004, Ningxia Province, People's Republic of China.

Background: Colon adenocarcinoma (COAD) is a leading cause of cancer-related mortality worldwide. Transient receptor potential vanilloid 4 (TRPV4), a calcium-permeable non-selective cation channel, has been implicated in various cancers, including COAD. This study investigates the role of TRPV4 in colon adenocarcinoma and elucidates its potential mechanism via the ferroptosis pathway.

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Introduction: Therapeutic drug monitoring (TDM) in inflammatory rheumatic diseases (RMDs) is gaining interest. However, there are unresolved questions about the best practices for implementing TDM effectively in clinical settings.

Objective: The primary objective of this study was to evaluate whether early TDM of adalimumab predicts drug survival at 52 weeks in patients with RMDs.

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Cells are subjected to dynamic mechanical environments which impart forces and induce cellular responses. In age-related conditions like pulmonary fibrosis, there is both an increase in tissue stiffness and an accumulation of senescent cells. While senescent cells produce a senescence-associated secretory phenotype (SASP), the impact of physical stimuli on both cellular senescence and the SASP is not well understood.

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The brain undergoes atrophy and cognitive decline with advancing age. The utilization of brain age prediction represents a pioneering methodology in the examination of brain aging. This study aims to develop a deep learning model with high predictive accuracy and interpretability for brain age prediction tasks.

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