Cerebrovascular adaptation to pregnancy is poorly understood. We sought to assess cerebrovascular regulation in response to visual stimulation, hypercapnia and exercise across the three trimesters of pregnancy. Using transcranial Doppler (TCD) ultrasound, middle and posterior cerebral artery mean blood velocities (MCAv and PCAv) were measured continuously at rest and in response to (1) visual stimulation to assess neurovascular coupling (NVC); (2) a modified Duffin hyperoxic CO rebreathe test, and (3) an incremental cycling exercise test to volitional fatigue in non-pregnant ( = 26; NP) and pregnant women (first trimester [ = 13; TM1], second trimester [ = 21; TM2], and third trimester [ = 20; TM3]) in total 47 women. At rest, MCAv and PCO were lower in TM2 compared to NP. PCAv was lower in TM2 but not TM1 or TM3 compared to NP. Cerebrovascular reactivity in MCAv and PCAv during the hypercapnic rebreathing test was not different between pregnant and non-pregnant women. MCAv continued to increase over the second half of the exercise test in TM2 and TM3, while it decreased in NP due to differences in ΔPCO between groups. Pregnant women experienced a delayed decrease in MCAv in response to maximal exercise compared to non-pregnant controls which was explained by CO reactivity and PCO level.
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http://dx.doi.org/10.1177/0271678X19889089 | DOI Listing |
Anal Chem
January 2025
State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Hydroquinone (HQ) and copper ions (Cu) are categorized as environmental pollutants that are severely limited in water. Designing a selective assay for discriminating HQ from its two isomers and the convenient determination of Cu is of great importance. Herein, a Tb-based metal-organic framework (Tb-MOF) and HQ are assembled innovatively into a ratiometric fluorescence nanoprobe to selectively distinguish HQ and subsequent quantitative visual detection of Cu.
View Article and Find Full Text PDFAnal Chem
January 2025
The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemistry, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.
CD28 is a costimulatory receptor that provides the second signal necessary for T-cell activation and is associated with diseases, including rheumatoid arthritis, asthma, and cancer. Targeting CD28 is crucial for both functional bioanalysis and therapeutic development. Molecular probes, particularly fluorescent probes, can enhance our understanding of CD28's cellular roles.
View Article and Find Full Text PDFInvest Ophthalmol Vis Sci
January 2025
State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China.
Purpose: Fungal keratitis (FK) remains a treatment challenge, necessitating new therapeutic targets. Piezo1, a mechanosensitive ion channel, regulates calcium signaling and immune cell function. This study investigates its role in macrophage-mediated antifungal responses in FK.
View Article and Find Full Text PDFSpine (Phila Pa 1976)
January 2025
Indiana Spine Group Location of investigation Indiana Spine Group, 13225 N. Meridian Street, Carmel, IN 46032.
Study Design: Retrospective cohort.
Objective: To compare the clinical outcomes of trial versus standard clinical practice (SCP) patients following cervical disc arthroplasty (CDA).
Background: CDA is hypothesized to reduce the shear strain and related complications resulting from fusion procedures.
GROUP ACM SIGCHI Int Conf Support Group Work
January 2025
College of Information Sciences and Technology, The Pennsylvania State University, University Park, Pennsylvania, USA.
Assistive technologies for people with visual impairments (PVI) have made significant advancements, particularly with the integration of artificial intelligence (AI) and real-time sensor technologies. However, current solutions often require PVI to switch between multiple apps and tools for tasks like image recognition, navigation, and obstacle detection, which can hinder a seamless and efficient user experience. In this paper, we present NaviGPT, a high-fidelity prototype that integrates LiDAR-based obstacle detection, vibration feedback, and large language model (LLM) responses to provide a comprehensive and real-time navigation aid for PVI.
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