Publications by authors named "M C Beltran"
Objective: This study aimed to determine if routine dual-stage nonunion repair (DSR) surgery lead to better outcomes than single-stage nonunion (SSR) repair surgery in fracture nonunions without evident clinical or laboratory signs of infection.
Methods: Design: Retrospective comparison study.
Setting: Level One Trauma Center affiliated with an academic teaching hospital.
pv. is the main causal agent of bacterial canker in sweet cherry in Chile, causing significant economic losses. Cultivars exhibit diverse susceptibility in the field and the molecular mechanisms underlying the differential responses remain unclear.
View Article and Find Full Text PDFCircular RNAs (circRNAs) are covalently closed RNA molecules widely expressed in eukaryotes and deregulated in several pathologies, including cancer. Many studies point to their activity as microRNAs (miRNAs) and protein sponges; however, we propose a function based on circRNA-mRNA interaction to regulate mRNA fate. We show that the widely tumor-associated circHIPK3 directly interacts in vivo with the BRCA1 mRNA through the back-splicing region in human cancer cells.
View Article and Find Full Text PDFArticle Synopsis
- Researchers are studying the multi-scale interstellar medium (ISM) of our Galaxy to understand the relationships between gas, dust, and star formation in Giant Molecular Clouds (GMCs).
- The Milky Way's complex structure is influenced by massive stars and dust lanes, making it essential to observe these features at (sub-)millimeter wavelengths for in-depth analysis.
- A proposed 50m single-dish sub-mm telescope called AtLAST aims to provide comprehensive observations of the Galactic Plane and surrounding areas to enhance our understanding of stellar formation, planetary system evolution, and the overall ecology of our Galaxy.
Article Synopsis
- A study in Ucayali, Peru examined two methods for detecting soil-transmitted helminth infections in children: the old method called Kato-Katz (KK1.0) and a new method using artificial intelligence called KK2.0.
- The researchers analyzed stool samples from 510 kids aged 5-14 and found that KK2.0 could detect more cases of Ascaris lumbricoides compared to KK1.0, especially at the 30-minute mark.
- The results showed that while both methods had similar detection rates for other types of infections, KK2.0 was better at finding low levels of A. lumbricoides infection in the kids.