Publications by authors named "C B Infante"
Omics exploration of Tetraselmis chuii adaptations to diverse light regimes.
Antonie Van Leeuwenhoek
October 2024
Article Synopsis
- Microalgae, specifically Tetraselmis chuii, respond differently to various light wavelengths, affecting their growth and metabolism.
- Different filtered light regimes resulted in lower growth rates, with blue and green filters impacting growth more than red light.
- Transcriptomic changes were observed, like increased production of ribosome-related genes under green light and altered metabolite profiles, indicating that light filtering can be utilized for specific metabolic modifications in microalgae.
Background: The food choices of migrants are frequently limited by lack of access to sufficient and adequate food. Food insecurity (FI) during adolescence has potential negative health consequences, however the experiences of FI of adolescent in-transit migrants have seldom been reported.
Objective: To explore the experiences of FI of adolescent in-transit migrants and their ways of coping with it.
Different factors, including antimicrobial resistance, may diminish the effectiveness of antibiotic therapy, challenging the management of post-transplant urinary tract infection (UTI). The association of acidic urine pH with microbiological and clinical outcomes was evaluated after fosfomycin or ciprofloxacin therapy in 184 kidney transplant recipients (KTRs) with UTI episodes by (N = 115) and (N = 69). Initial urine pH, antimicrobial therapy, and clinical and microbiological outcomes, and one- and six-month follow-up were assessed.
View Article and Find Full Text PDFOsteoarthritis (OA) is the most common degenerative joint disease. Mesenchymal stromal cells (MSC) are promising cell-based therapy for OA. However, there is still a need for additional randomized, dose-dependent studies to determine the optimal dose and tissue source of MSC for improved clinical outcomes.
View Article and Find Full Text PDFBackground: Anterior knee pain (AKP) following total knee arthroplasty (TKA) with patellar preservation is a common complication that significantly affects patients' quality of life. This study aimed to develop a machine-learning model to predict the likelihood of developing AKP after TKA using radiological variables.
Methods: A cohort of 131 anterior stabilized TKA cases (105 patients) without patellar resurfacing was included.