Multidisciplinary Assessment and Individualized Nutritional Management of Dysphagia in Older Outpatients.

Introduction: The evidence on the efficacy of nutrition therapy to prevent complications of dysphagia is based on observational studies that used different tools for nutritional and dysphagia assessment, and different scales for the definition of diet textures, rendering their results incomparable and the knowledge on dysphagia management inconclusive.

Methods: This retrospective observational study was performed in 267 older outpatients who were assessed for dysphagia and nutritional status by a multidisciplinary team at the Clinical Nutrition Unit of IRCCS INRCA geriatric research hospital (Ancona, Italy) from 2018 to 2021. GUSS test and ASHA-NOMS measurement systems were used for dysphagia assessment, GLIM criteria for the assessment of nutritional status, and the IDDSI framework to describe the texture-modified diets.

Transcriptome profiling of kisspeptin neurons from the mouse arcuate nucleus reveals new mechanisms in estrogenic control of fertility.

Kisspeptin neurons in the mediobasal hypothalamus (MBH) are critical targets of ovarian estrogen feedback regulating mammalian fertility. To reveal molecular mechanisms underlying this signaling, we thoroughly characterized the estrogen-regulated transcriptome of kisspeptin cells from ovariectomized transgenic mice substituted with 17β-estradiol or vehicle. MBH kisspeptin neurons were harvested using laser-capture microdissection, pooled, and subjected to RNA sequencing.

SOX11 variants cause a neurodevelopmental disorder with infrequent ocular malformations and hypogonadotropic hypogonadism and with distinct DNA methylation profile.

Purpose: This study aimed to undertake a multidisciplinary characterization of the phenotype associated with SOX11 variants.

Methods: Individuals with protein altering variants in SOX11 were identified through exome and genome sequencing and international data sharing. Deep clinical phenotyping was undertaken by referring clinicians.

SDNN24 Estimation from Semi-Continuous HR Measures.

The standard deviation of the interval between QRS complexes recorded over 24 h (SDNN24) is an important metric of cardiovascular health. Wrist-worn fitness wearable devices record heart beats 24/7 having a complete overview of users' heart status. Due to motion artefacts affecting QRS complexes recording, and the different nature of the heart rate sensor used on wearable devices compared to ECG, traditionally used to compute SDNN24, the estimation of this important Heart Rate Variability (HRV) metric has never been performed from wearable data.