Publications by authors named "G J Gouveia"
Continuous monitoring of acute inflammation can become a very important next step for guiding therapeutic interventions in severely ill patients. This Perspective discusses the current medical need for patients with acute inflammatory diseases and the potential of continuous biosensing technologies. First, we discuss biomarkers that could help to monitor the state of a patient with acute systemic inflammation based on theoretical studies and empirical data.
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- Residual feed intake (RFI) is a key measure of feed efficiency considered in dairy cattle breeding, focusing on genetic parameters associated with traits like dry-matter intake (DMI), body weight (BW), and energy-corrected milk (ECM).
- The study analyzed RFI data from 2,538 lactating Holstein cows, leveraging 61,283 genetic markers to estimate heritability and genetic correlations between heifers and cows.
- Findings revealed moderate heritability estimates for RFI (0.43), DMI (0.44), ECM (0.40), and BW (0.46), alongside reliability metrics indicating 44% for the training population and 30% for the prediction population
Article Synopsis
- The study investigates how maternal immune responses during pregnancy, particularly through immune biomarkers, affect the neurodevelopment of children in their first two years of life.
- It examines maternal psychosocial stress and childhood trauma, measuring various inflammatory markers at two gestational stages in 160 women.
- Results indicate that specific immune profiles in late pregnancy can predict children's neurodevelopmental progress, while no direct correlation was found between maternal stress and immune markers, suggesting a complex interaction between stress and immune response in predicting neurodevelopment.
Background: The National Cancer Institute issued a Request for Information (RFI; NOT-CA-23-007) in October 2022, soliciting input on using and reusing metabolomics data. This RFI aimed to gather input on best practices for metabolomics data storage, management, and use/reuse.
Aim Of Review: The nuclear magnetic resonance (NMR) Interest Group within the Metabolomics Association of North America (MANA) prepared a set of recommendations regarding the deposition, archiving, use, and reuse of NMR-based and, to a lesser extent, mass spectrometry (MS)-based metabolomics datasets.
Article Synopsis
- DUIC cases are on the rise globally, making effective methods for cannabis detection crucial as THC is the second most common drug involved in impaired driving after alcohol.
- A study tested four oral fluid devices for THC detection at roadside checks, revealing significant differences in their effectiveness: Dräger DrugTest® performed best, while AquilaScan® and Druglizer® had poor performance.
- The findings stress the importance of using reliable testing devices to ensure public safety, given the high occurrence of cannabis use among drivers.