Publications by authors named "Vitale D"

The genomic landscape of the Indian population, particularly for age-related disorders like Parkinson's disease (PD) remains underrepresented in global research. Genetic variability in PD has been studied predominantly in European populations, offering limited insights into its role within the Indian population. To address this gap, we conducted the first pan-India genomic survey of PD involving 4,806 cases and 6,364 controls, complemented by a meta-analysis integrating summary statistics from a multi-ancestry PD meta-analysis (N=611,485).

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Alzheimer's Disease and Related Dementias (ADRD) is a leading cause of death in the United States, with national goals in place to improve the quality of care provided to this population. With little available literature on empathy training for pharmacy students in caring for patients living with ADRD, this study outlined the implementation process of an immersive sensory experience, the Virtual Dementia Tour (VDT), into a Doctor of Pharmacy curriculum and evaluated the impact of the experience on pharmacy students' empathy for persons living with ADRD. After completing the VDT, quantitative analysis demonstrated a significant reduction in the pharmacy students' ability to capably complete tasks and relax, and a positive change in their perceptions of the need for improved care for persons living with ADRD.

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Although large-scale genetic association studies have proven useful for the delineation of neurodegenerative disease processes, we still lack a full understanding of the pathologic mechanisms of these diseases, resulting in few appropriate treatment options and diagnostic challenges. To mitigate these gaps, the Neurodegenerative Disease Knowledge Portal (NDKP) was created as an open-science initiative with the aim to aggregate, enable analysis, and display all available genomic datasets of neurodegenerative disease, while protecting the integrity and confidentiality of the underlying datasets. The portal contains 218 genomic datasets, including genotyping and sequencing studies, of individuals across 10 different phenotypic groups, including neurologic conditions such as Alzheimer disease, amyotrophic lateral sclerosis, Lewy body dementia, and Parkinson disease.

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Objectives: Liver biopsy is the gold standard for diagnosing and staging liver diseases. Endoscopic ultrasound-guided liver biopsy (EUS-LB) has been reported in adults with equivalent or better safety profiles than percutaneous liver biopsies. The aim of this study was to retrospectively assess the safety and efficacy of EUS-LB in pediatric patients.

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Backgrounds: Biomedical research requires sophisticated understanding and reasoning across multiple specializations. While large language models (LLMs) show promise in scientific applications, their capability to safely and accurately support complex biomedical research remains uncertain.

Methods: We present , a novel question-and-answer benchmark for evaluating LLMs in biomedical research.

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Elucidating the genetic contributions to Parkinson's disease (PD) etiology across diverse ancestries is a critical priority for the development of targeted therapies in a global context. We conducted the largest sequencing characterization of potentially disease-causing, protein-altering and splicing mutations in 710 cases and 11,827 controls from genetically predicted African or African admixed ancestries. We explored copy number variants (CNVs) and runs of homozygosity (ROHs) in prioritized early onset and familial cases.

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Purpose: T1-weighted signal intensity ratios (SIR) comparing pancreas to spleen (SIRps) or muscle (SIRpm) can semiquantitatively assess T1 signal change associated with pancreatitis. However, there is no standardized methodology for generating these ratios. We set out to determine the impact of MRI sequence as well as region of interest (ROI) location, shape, and size on T1 SIR.

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Structural variants (SVs) drive gene expression in the human brain and are causative of many neurological conditions. However, most existing genetic studies have been based on short-read sequencing methods, which capture fewer than half of the SVs present in any one individual. Long-read sequencing (LRS) enhances our ability to detect disease-associated and functionally relevant structural variants (SVs); however, its application in large-scale genomic studies has been limited by challenges in sample preparation and high costs.

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Background/objectives: Genetic variants in PRSS1 encoding human cationic trypsinogen are associated with hereditary pancreatitis. The clinically frequent variants exert their pathogenic effect by increasing intrapancreatic trypsin activity, while a distinct subset of variants causes disease via mutation-induced trypsinogen misfolding and endoplasmic reticulum (ER) stress. Here, we report a novel misfolding PRSS1 variant.

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Management of choledochoceles (type III choledochal cysts) in children varies. We highlight the potential role of endoscopic management of choledochoceles with cystostomy and biliary sphincterotomy through a series of three successfully treated pediatric patients aged 12-13 at our tertiary center. Patients presented with symptoms including abdominal pain and pancreatitis.

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Article Synopsis
  • Copy Number Variations (CNVs) are crucial in understanding complex diseases and vary across different populations, necessitating large sample studies for accurate analysis.
  • The CNV-Finder pipeline utilizes deep learning, specifically Long Short-Term Memory (LSTM) networks, to streamline the identification of CNVs in specific genomic areas, making subsequent analyses like genome sequencing more efficient.
  • The tool has been validated with data from various cohorts, focusing on genes related to neurological diseases, and includes an interactive web application for researchers to visualize and refine their findings based on model predictions.
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  • Latin America's genetic diversity offers a unique opportunity to study Alzheimer's disease (AD) and frontotemporal dementia (FTD), with a focus on identifying related genetic variations.
  • The study involved 2,162 participants from six countries who underwent extensive genomic sequencing and analysis to detect genetic factors linked to these dementias.
  • Results highlighted a mix of American, African, and European ancestries, discovered 17 pathogenic variants, and revealed specific genetic variations tied to AD and FTD inheritance patterns in affected families.
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  • GenoTools is a Python package designed to simplify population genetics research by integrating key functions like ancestry estimation, quality control, and genome-wide association studies into streamlined pipelines.
  • It allows users to track samples and variants across customizable processes, making it easier to handle genetics data for studies of any size.
  • The tool is utilized in major initiatives like the NIH's Alzheimer's program and has successfully processed vast datasets, contributing to new discoveries and ensuring reliable ancestry predictions and robust quality control in genetic studies.
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Article Synopsis
  • - The paper explores using Large Language Models (LLMs) to streamline data wrangling and automate tasks in data discovery and harmonization, crucial for making biomedical data AI-ready by developing Common Data Elements (CDEs).
  • - A human-in-the-loop approach was utilized to ensure the accuracy of generated CDEs from various studies and databases, achieving a high accuracy rate where 94.0% of fields required no manual changes, with an interoperability mapping rate of 32.4%.
  • - The resulting CDEs are designed to improve dataset compatibility by measuring how well different data sources align with these standards, ultimately enhancing the efficiency and scalability of biomedical research efforts.
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  • Acute pancreatitis (AP) can lead to an increased risk of diabetes (DM) in young individuals, prompting a study to identify predictors of prediabetes (preDM) or DM after AP episodes.
  • A cohort of patients aged 21 and under was monitored for 3 and 12 months after an initial AP admission, assessing various clinical, laboratory, and imaging factors against the development of preDM/DM.
  • Key findings indicated that severe AP, higher levels of interleukin-6 (IL-6) and C-reactive protein (CRP), along with certain imaging markers and patient age, were significant predictors for the onset of preDM/DM in this population.
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Pathogenic variants in the gene represent the most common cause of autosomal dominant Parkinson's disease (PD) worldwide. We identified the p.L1795F variant in 14 White/European ancestry PD patients, including two families with multiple affected carriers and seven additional affected individuals with familial PD using genotyping and sequencing data from more than 50,000 individuals through GP2, AMP-PD, PDGENEration, and CENTOGENE.

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Objective: To evaluate outcomes of children from an observational cohort registry of index acute pancreatitis (AP) admissions managed with different types and rates of intravenous fluid therapy.

Study Design: Patients with index admission of AP between 2013 and 2023 were included. Those who received >1.

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Article Synopsis
  • The study aimed to investigate the relationship between pancreas T1-weighted signal intensity ratio (SIR) and T1 relaxation time in children, and how this differs between those with and without pancreatitis.
  • A retrospective analysis of 220 patients under 18 years old was conducted, observing T1 SIR using images taken at different magnetic field strengths (1.5T and 3T) and noting correlations with T1 relaxation time.
  • Results showed a significant negative correlation between SIR and T1 relaxation time at 1.5T, with notable differences in SIR between healthy children and those with various types of pancreatitis, indicating that lower SIR values may suggest the presence of pancreatitis.
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Background: Commercial genome-wide genotyping arrays have historically neglected coverage of genetic variation across populations.

Objective: We aimed to create a multi-ancestry genome-wide array that would include a wide range of neuro-specific genetic content to facilitate genetic research in neurological disorders across multiple ancestral groups, fostering diversity and inclusivity in research studies.

Methods: We developed the Illumina NeuroBooster Array (NBA), a custom high-throughput and cost-effective platform on a backbone of 1,914,934 variants from the Infinium Global Diversity Array and added custom content comprising 95,273 variants associated with more than 70 neurological conditions or traits, and we further tested its performance on more than 2000 patient samples.

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Genotyping single nucleotide polymorphisms (SNPs) is fundamental to disease research, as researchers seek to establish links between genetic variation and disease. Although significant advances in genome technology have been made with the development of bead-based SNP genotyping and Genome Studio software, some SNPs still fail to be genotyped, resulting in "no-calls" that impede downstream analyses. To recover these genotypes, we introduce Cluster Buster, a genotyping neural network and visual inspection system designed to improve the quality of neurodegenerative disease (NDD) research.

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Over the last few decades, scientists have recognized the critical role that various components of the extracellular matrix (ECM) play in maintaining homeostatic immunity. Besides, dysregulation in the synthesis or degradation levels of these components directly impacts the mechanisms of immune response during tissue injury caused by tumor processes or the regeneration of the tissue itself in the event of damage. ECM is a complex network of protein compounds, proteoglycans and glycosaminoglycans (GAGs).

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After European Medicines Agency (EMA) approval, national pricing and reimbursement procedures are necessary to guarantee access to drugs, based on the willingness to pay and the recognition of therapeutic value. These can result in delays in drug availability for patients, even for those with important unfmet needs for whom it may be necessary and ethical to ensure access. The objective of this study was to evaluate the use of ruxolitinib for patients with graft-versus-host disease (GvHD) after EMA approval at the University Hospital of Catania.

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Hyaluronan (HA) has gained significant attention in cancer research for its role in modulating chemoresistance. This review aims to elucidate the mechanisms by which HA contributes to chemoresistance, focusing on its interactions within the tumor microenvironment. HA is abundantly present in the extracellular matrix (ECM) and binds to cell-surface receptors such as CD44 and RHAMM.

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Article Synopsis
  • * Out of 181 patients, most had mild AP, while a smaller percentage faced moderate or severe cases; results indicated stable BMI over 12 months, but significant deficiencies in Vitamin D, ferritin, and other nutrients were observed.
  • * Notably, 13% of patients developed pre-diabetes or diabetes after the episode, and 24% experienced low albumin levels shortly after, indicating potential concerns for long-term nutritional health in this population.
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Purpose: To characterize T1 relaxation times of the pancreas, liver, and spleen in children with and without abdominal pathology.

Methods: This retrospective study included pediatric patients (< 18-years-old). T1 mapping was performed with a Modified Look-Locker Inversion Recovery sequence.

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