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Systematic Review and Meta-Analysis of 24-Hour Ambulatory Blood Pressure Monitoring in Pregnancy and Postpartum Periods.
J Perinat Neonatal Nurs
January 2025
Author Affiliations: School of Nursing, Center for Research Development and Scholarship, Vanderbilt University (Ms Sommer, Dr Muchira, Ms Chinni, and Dr Mogos); Department of Obstetrics and Gynecology, Vanderbilt University Medical Center (Dr Garrison); Annette and Irwin Eskind Family Biomedical Library, Vanderbilt University, Nashville, Tennessee (Ms Walden); and Medical College of Georgia, Augusta University, Augusta, Georgia (Mr van der Eerden).
Purpose: Early detection and management of hypertensive disorders during pregnancy and postpartum are essential. This systematic review and meta analysis aimed: (1) to examine the state of 24-hour ambulatory blood pressure (ABP) use, and (2) in a subset of studies, evaluate 24-hour ABP parameters in the prediction and identification of Hypertensive Disorders of Pregnancy (HDP).
Methods: A comprehensive literature search was conducted in March of 2022 for English language studies published after 2000.
High-Conductivity, Self-Healing, and Adhesive Ionic Hydrogels for Health Monitoring and Human-Machine Interactions Under Extreme Cold Conditions.
Adv Sci (Weinh)
January 2025
The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, P. R. China.
Ionic conductive hydrogels (ICHs) are emerging as key materials for advanced human-machine interactions and health monitoring systems due to their unique combination of flexibility, biocompatibility, and electrical conductivity. However, a major challenge remains in developing ICHs that simultaneously exhibit high ionic conductivity, self-healing, and strong adhesion, particularly under extreme low-temperature conditions. In this study, a novel ICH composed of sulfobetaine methacrylate, methacrylic acid, TEMPO-oxidized cellulose nanofibers, sodium alginate, and lithium chloride is presented.
View Article and Find Full Text PDFThe bioavailability and blood levels of low-dose rapamycin for longevity in real-world cohorts of normative aging individuals.
Geroscience
January 2025
AgelessRx, Ann Arbor, MI, USA.
Rapamycin, also known as sirolimus, has demonstrated great potential for application in longevity medicine. However, the dynamics of low-dose rapamycin bioavailability, and any differences in bioavailability for different formulations (e.g.
View Article and Find Full Text PDFSymmetrical dual-D and dual-core single-mode fiber surface plasmon resonance liquid sensor.
J Opt Soc Am A Opt Image Sci Vis
August 2024
A symmetrical dual-D and dual-core single-mode fiber surface plasmon resonance (SPR) liquid sensor is designed for biological detection. The dual-core design optimizes the transmission path, improves the momentum matching between free electrons and photons, and facilitates bidirectional coupling, consequently amplifying the SPR effect and enabling sensitive monitoring of the refractive index changes of biological solutions. In this structure, a gold wire is placed in the middle of the polished surface of the double-D-shaped single-mode fiber (SMF) to produce high-quality free electrons and promote the mode-coupling excitation of the SPR effect.
View Article and Find Full Text PDFEarly detection of canine hemangiosarcoma via cfDNA fragmentation and copy number alterations in liquid biopsies using machine learning.
Front Vet Sci
January 2025
GenesisEgo, Seoul, Republic of Korea.
Hemangiosarcoma is a highly malignant tumor commonly affecting canines, originating from endothelial cells that line blood vessels, underscoring the importance of early detection. This canine cancer is analogous to human angiosarcoma, and the development of liquid biopsies leveraging cell-free DNA (cfDNA) represents a promising step forward in early cancer diagnosis. In this study, we utilized Whole Genome Sequencing (WGS) to analyze fragment sizes and copy number alterations (CNAs) in cfDNA from 21 hemangiosarcoma-affected and 36 healthy dogs, aiming to enhance early cancer detection accuracy through machine learning models.
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