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: Breast cancer (BC) is the leading cause of cancer incidence and mortality among women and the recent identification of a resident mammary microbiota has highlighted its potential role in breast carcinogenesis. Given that environmental and socioeconomic factors influence both BC prevalence and tumor-associated bacterial composition, this study aimed to evaluate the compositional and functional features of the mammary microbiota in cancerous (oncobiome) and adjacent healthy BC tissues from patients living in urban and rural areas. : Microbiota composition in both the oncobiome and adjacent healthy BC tissues was analyzed using 16S rRNA sequencing. : Significant variations in breast oncobiome composition were observed among BC patients from urban and rural areas. A statistically significant β dispersion among breast oncobiome of patients from urban or rural areas was highlighted. Specifically, the genera , , , and were found exclusively in BC tissues of patients from rural areas. Additionally, bacteria from the Neisseriaceae, Porphyromonadaceae, and Selenomonadaceae families, as well as the genus, were significantly enriched in the oncobiome of rural BC patients. Furthermore, the results of the PICRUSt2 (phylogenetic investigation of communities by reconstruction of unobserved states) revealed a significant increase in phospholipid biosynthesis pathways in breast oncobiome of patients from rural areas compared to those from urban areas. : This study provides evidence of distinct compositional and functional differences in the breast oncobiome between BC patients from rural and urban areas. These findings suggest that environmental factors influence local microbiome composition, potentially contributing to BC development and/or progression.
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http://dx.doi.org/10.3390/genes16070806 | DOI Listing |
BMC Emerg Med
September 2025
Department of Neurology and Clinical Neuroscience, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Background: Identifying suspected anterior circulation large-vessel occlusion (aLVO) strokes during emergency calls could enhance dispatch efficiency, particularly in rural areas. However, data on emergency medical dispatchers' (EMDs) ability to recognize aLVO symptoms remain limited. This simulation study aimed to evaluate the feasibility of identifying side-specific arm paresis, side-specific conjugate eye deviation (CED), and aphasia during emergency calls by instructing layperson callers to perform brief, standardized examination steps.
View Article and Find Full Text PDFTheor Appl Genet
September 2025
Leibniz Institute of Plant Genetics and Crop Research (IPK), 06466, Gatersleben, Germany.
To breed for climate resilient crops, an understanding of the genetic and environmental factors influencing adaptation is critical. Barley provides a model species to study adaptation to climate change. Here we present a detailed analysis of genetic variation at a major photoperiod response locus and relate this to the domestication history and dispersal of barley.
View Article and Find Full Text PDFInd Health
September 2025
Institute of Health Policy and Management, College of Public Health, National Taiwan University, Taiwan.
The rapid expansion of delivery labor platforms in China has driven many people to move from rural to urban areas. Previous studies indicated that platform-based delivery work can be demanding, subject to algorithmic control, and lacking employment protections. While migrant workers are more likely to be exposed to adverse psychosocial working conditions and more vulnerable due to limited social services, few studies have examined the role of migrant status in mental health and its associations with psychosocial working conditions among platform delivery workers.
View Article and Find Full Text PDFCancer Epidemiol
September 2025
Golestan Research Center of Gastroenterology and Hepatology, Jorjani Clinical Sciences Research Institute, Golestan University of Medical Sciences, Gorgan, Iran. Electronic address:
Introduction: Early-onset breast cancer (EOBC), diagnosed in women under 45 years, is a significant health issue worldwide. Understanding the epidemiology of EOBC is crucial for developing effective prevention and detection programs. We aimed to examine EOBC incidence and temporal trends in Golestan, North of Iran, from 2004 to 2019, across ethnic regions (Turkmens vs.
View Article and Find Full Text PDFComput Methods Programs Biomed
September 2025
eXiT Research Group, Universitat de Girona (UdG), EPS - Edifici P-IV, Carrer Universitat de Girona, 6, Girona, 17003, Catalunya, Spain.
Background And Objective: Hybrid forecasting methods aim to overcome the limitations of classical statistical approaches and deep learning models. While statistical methods provide interpretability, they often lack predictive power. Conversely, deep learning models achieve high accuracy but act as "black boxes.
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