Introduction: The Epstein-Barr virus (EBV) persists for long periods in latent state inside B-lymphocytes after primary infections, and reactivation usually occurs associated to immunosuppression conditions of the host. Recently, the detection of EBV DNA in circulation has been suggested as a predictor marker for the development of EBV related malignancies.
Aim Of The Study: The aim of our study was to characterize the frequency of circulating EBV in healthy individuals (n=508) from the North region of Portugal, using peripheral blood samples. Detection was performed by Nested-PCR which amplifies a fragment from the BamHIW region of the EBV genome.
Results: Our results revealed an overall frequency of 37.2% positive cases for EBV in circulation, with distinct distribution according to genre (39.7% in male individuals and 33.2% in females). We also found that EBV is more frequent in individuals with more than 56 years old compared to individuals with less than 56 years old (p=0.032; RR=1.41), mainly in the male group (p=0.024; OR=1.51).
Conclusion: This is the first study which characterizes the frequency of EBV in circulation in healthy donors from the Northern Region of Portugal, revealing increased frequency of EBV in circulation in healthy individuals with differences depending on gender or age. Further studies are required to analyze the role of circulating EBV in the definition of susceptibilities to EBV associated diseases.
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Curr Opin Crit Care
January 2025
Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS).
Purpose Of Review: This narrative review discusses the mechanisms connecting gut dysbiosis to adverse clinical outcomes in critically ill patients and explores potential therapeutic strategies.
Recent Findings: In recent years, the study of microbiota in ICUs has gained attention because of its potential effects on patient outcomes. Critically ill patients often face severe conditions, which can compromise their immune systems and lead to opportunistic infections from bacteria typically harmless to healthy individuals.
JAMA Netw Open
January 2025
Amazon Health Services, Seattle, Washington.
Importance: Medication nonadherence imposes high morbidity, mortality, and costs but is challenging to address given its multiple causes. Subscription models are increasingly used in health care to encourage healthy behaviors; in January 2023, Amazon Pharmacy launched RxPass, a subscription program offering Amazon Prime members (hereafter, company members) in 45 states access to 60 common generic medications for a flat $5 monthly fee.
Objective: To evaluate the associations of program enrollment with medication refills, days' supply, and out-of-pocket costs.
JAMA Neurol
January 2025
Department of Neural and Pain Sciences, University of Maryland School of Dentistry, Baltimore.
Importance: Biomarkers would greatly assist decision-making in the diagnosis, prevention, and treatment of chronic pain.
Objective: To undertake analytical validation of a sensorimotor cortical biomarker signature for pain consisting of 2 measures: sensorimotor peak alpha frequency (PAF) and corticomotor excitability (CME).
Design, Setting, And Participants: This cohort study at a single center (Neuroscience Research Australia) recruited participants from November 2020 to October 2022 through notices placed online and at universities across Australia.
Matern Child Health J
January 2025
Department of Psychology, College of Arts and Sciences, Lehigh University, Bethlehem, USA.
Background: Research has increasingly explored maternal resilience or protective factors that enable women to achieve healthier maternal and child outcomes. However, it has not adequately examined maternal resilience using a culturally-relevant, socio-ecological lens or how it may be influenced by early-life stressors and resources. The current study contributes to the literature on maternal resilience by qualitatively exploring the salient multi-level stressors and resources experienced over the lifecourse by predominantly low-income and minoritized women.
View Article and Find Full Text PDFPhys Eng Sci Med
January 2025
Amrita School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Bangalore, India.
Parkinson Disease (PD) is a complex neurological disorder attributed by loss of neurons generating dopamine in the SN per compacta. Electroencephalogram (EEG) plays an important role in diagnosing PD as it offers a non-invasive continuous assessment of the disease progression and reflects these complex patterns. This study focuses on the non-linear analysis of resting state EEG signals in PD, with a gender-specific, brain region-specific, and EEG band-specific approach, utilizing recurrence plots (RPs) and machine learning (ML) algorithms for classification.
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