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Airborne fine particulate matter exposure induces transcriptomic alterations resembling asthmatic signatures: insights from integrated omics analysis.
Environ Epigenet
January 2025
Institute of Human Genetics, School of Medicine, Pontificia Universidad Javeriana, Bogotá 110231, Colombia.
Fine particulate matter (PM), an atmospheric pollutant that settles deep in the respiratory tract, is highly harmful to human health. Despite its well-known impact on lung function and its ability to exacerbate asthma, the molecular basis of this effect is not fully understood. This integrated transcriptomic and epigenomic data analysis from publicly available datasets aimed to determine the impact of PM exposure and its association with asthma in human airway epithelial cells.
View Article and Find Full Text PDFThe magnitude of legal wildlife trade and implications for species survival.
Proc Natl Acad Sci U S A
January 2025
School of Biological Sciences University of Hong Kong, Hong Kong, P.R. China.
The unsustainable use of wildlife is a primary driver of global biodiversity loss. No comprehensive global dataset exists on what species are in trade, their geographic origins, and trade's ultimate impacts, which limits our ability to sustainably manage trade. The United States is one of the world's largest importers of wildlife, with trade data compiled in the US Law Enforcement Management Information System (LEMIS).
View Article and Find Full Text PDFIncidence, treatment patterns, and mortality for patients with breast cancer during the first year of the COVID-19 pandemic: a population-based study.
Breast Cancer Res Treat
December 2024
Medical Oncology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA, USA.
Purpose: The COVID-19 pandemic created significant disruptions in the diagnosis and treatment of breast cancer (BC). Several public health measures were taken with limited evidence on their potential impact. In this observational study, we sought to compare the incidence of BC, treatment patterns, and mortality during 2020 versus 2018 and 2019.
View Article and Find Full Text PDFAdapting pediatric dermatology textbooks in South America: enhancing visual representation for skin of color patients.
Arch Dermatol Res
November 2024
Department of Pediatrics, Pediatric Dermatology Division, Federal University of Paraná, UFPR, Curitiba, Brazil.
Article Synopsis
- * A study analyzing 5 pediatric dermatology books from Brazil and Argentina found that out of 2,471 evaluated photographs, 56% were white, 42% light brown, and there were no representations of dark brown or black skin.
- * This lack of representation in educational materials is problematic, especially since a significant portion of the Brazilian population identifies as Black, underscoring the need to improve diversity in medical resources to enhance healthcare for all skin types.
GFPrint™: A machine learning tool for transforming genetic data into clinical insights.
PLoS One
November 2024
Topazium Artificial Intelligence, Madrid, Spain.
Article Synopsis
- The GFPrint™ algorithm is designed to analyze large genetic sequencing data, helping to uncover important features related to diseases.
- It has been validated using cancer genomic datasets, revealing gene mutations that negatively impact survival in various cancers like colorectal cancer and breast cancer.
- GFPrint™ is accessible online, making it useful for any medical field where understanding genetic profiles can aid in disease management.
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