The inhibition of SLC8A1 promotes Ca-dependent cell death in Gastric Cancer.

Intracellular Ca homeostasis dysregulation, through the modulation of calcium permeable ion channels and transporters, is gaining attention in cancer research as an apoptosis evasion mechanism. Recently, we highlighted a prognostic role for several calcium permeable channels. Among them, here, we focused on the plasma membrane bidirectional Na/Ca exchanger SLC8A1.

Assessing the Clinical Value of 2-h Versus 4-h Gastric Emptying Scintigraphy in Pediatrics: A Systematic Review and Meta-Analysis.

Introduction: The gold-standard diagnostic test for gastroparesis is gastric emptying scintigraphy (GES). Although a 4-h GES is recommended in adult guidelines, no similar guidelines exist in the pediatric population, with many hospitals utilizing a 2-h scan to reduce radiation exposure and save time.

Methods: We performed a systematic review and meta-analysis to evaluate differences in the diagnosis of gastroparesis during 2-h versus 4-h GES.

The molecular conversations of sarcomas: exosomal non-coding RNAs in tumor's biology and their translational prospects.

Exosomes mediate cell-to-cell crosstalk involving a variety of biomolecules through an intricate signaling network. In recent years, the pivotal role of exosomes and their non-coding RNAs cargo in the development and progression of several cancer types clearly emerged. In particular, tumor bulk and its microenvironment co-evolve through cellular communications where these nanosized extracellular vesicles are among the most relevant actors.

Enhancing early autism diagnosis through machine learning: Exploring raw motion data for classification.

In recent years, research has been demonstrating that movement analysis, utilizing machine learning methods, can be a promising aid for clinicians in supporting autism diagnostic process. Within this field of research, we aim to explore new models and delve into the detailed observation of certain features that previous literature has identified as prominent in the classification process. Our study employs a game-based tablet application to collect motor data.