Publications by authors named "A De la Calle"

Objective: To determine if the SARC-F tool, used to screen for sarcopenia risk, can also predict mild cognitive impairment (MCI) diagnosed with the Montreal Cognitive Assessment (MoCA) tool.

Methods: This is a sub-analysis of data from a cross-sectional study carried out in postmenopausal women from Latin America (nine countries) in which sociodemographic, clinical, and anthropometric data were collected, and the SARC-F and MoCA tools administered. From the original sample of 1185 women, analysis was performed only among the 772 with natural menopause.

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In multiple sclerosis (MS), microglia and macrophages within the central nervous system (CNS) play an important role in determining the balance among demyelination, neurodegeneration, and myelin repair. Phagocytic and regenerative functions of these CNS innate immune cells support remyelination, whereas chronic and maladaptive inflammatory activation promotes lesion expansion and disability, particularly in the progressive forms of MS. No currently approved drugs convincingly target microglia and macrophages within the CNS, contributing to the lack of therapies aimed at promoting remyelination and slowing disease progression for individuals with MS.

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This work introduces CAECENET, a new system capable of automatically retrieving columnar and vertically-resolved aerosol properties running the GRASP (Generalized Retrieval of Atmosphere and Surface Properties) algorithm using sun-sky photometer (aerosol optical depth, AOD; and sky radiance measurements) and ceilometer (range corrected signal; RCS) data as input. This method, so called GRASPpac, is implemented in CAECENET, which assimilates sun-sky photometers data from CÆLIS database and ceilometer data from ICENET database (Iberian Ceilometer Network). CAECENET allows for continuous and near-real-time monitoring of both vertical and columnar aerosol properties.

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Almond breeding is increasingly focusing on kernel quality. However, unlike other agronomic traits, the genetic basis of physical and chemical kernel quality traits has been poorly investigated. To address this gap, we conducted a QTL mapping of these traits to enhance our understanding of their genetic control.

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Article Synopsis
  • This study examines how different Salmonella serovars survive when exposed to organic acid antimicrobials on raw pork meat, focusing on lactic acid (LA) and peracetic acid (PAA).
  • The research found that both the type of Salmonella serovar and the concentration of antimicrobials significantly influenced survival rates, with PAA at 400 ppm being the most effective in reducing Salmonella levels.
  • Specifically, S. Dublin was found to be more susceptible to PAA treatments, while S. Newport showed a higher resistance, highlighting the importance of understanding serovar behavior for better pathogen control in the meat industry.
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