Small research grants, or R03 grants, provide limited, short-term support for individual research projects. R03s may be an excellent means of support for projects by nutrition scientists at all stages in their careers. The National Cancer Institute (NCI) has awarded roughly one-half of all nutrition-related NIH R03 grants in the period from 2005 to 2010. A detailed review of the recent NCI grant portfolio identified potential strategies for successful applications. Projects that addressed important nutrition and cancer issues had feasible and appropriate specific aims, were innovative, and were based on sound concepts were most positively viewed by reviewers. Furthermore, applicants with suitable expertise, training, mentorship, and records of accomplishment who, when appropriate, collaborated with investigators with complementary knowledge and skills were more likely to receive higher priority scores.
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http://dx.doi.org/10.3945/jn.111.144261 | DOI Listing |
Am J Reprod Immunol
February 2025
Department of Anthropology, University of California, Los Angeles, California, USA.
Problem: Regulatory B-cells (Bregs, CD19CD24CD38) are a specialized B-cell subset that suppresses immune responses and potentially contribute to the maintenance of an immune-privileged environment for fetal development during pregnancy. However, little is known about the surrounding immunological environment of Bregs in gestational physiology. The relationship of regulatory T-cells (Tregs, CD4CD25CD127FoxP3) to Bregs in coordinating immunoregulation during pregnancy is unknown.
View Article and Find Full Text PDFAlzheimers Dement (N Y)
January 2025
Indiana Alzheimer Disease Research Center and Center for Neuroimaging, Department of Radiology and Imaging Sciences Indiana University School of Medicine Indianapolis Indiana USA.
Introduction: The exponential growth of genomic datasets necessitates advanced analytical tools to effectively identify genetic loci from large-scale high throughput sequencing data. This study presents Deep-Block, a multi-stage deep learning framework that incorporates biological knowledge into its AI architecture to identify genetic regions as significantly associated with Alzheimer's disease (AD). The framework employs a three-stage approach: (1) genome segmentation based on linkage disequilibrium (LD) patterns, (2) selection of relevant LD blocks using sparse attention mechanisms, and (3) application of TabNet and Random Forest algorithms to quantify single nucleotide polymorphism (SNP) feature importance, thereby identifying genetic factors contributing to AD risk.
View Article and Find Full Text PDFHead Neck
January 2025
Department of Head and Neck Surgery, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Background: Quantifying head and neck lymphedema and fibrosis (HN-LEF) is crucial in the investigation and management of treatment sequelae in head and neck cancer (HNC).
Methods: The T1- and T2-weighted MRI signal intensity (SI) was examined in relation to HN-LEF categories per physical/tactile examination (No-LEF, A-B = edema, C = edema + fibrosis, D = fibrosis), and MRI structural volumes were examined in relation to a novel 10-point HN-LEF score in the intraoral and submental regions.
Results: We identified differences in ranks among HN-LEF categories in relation to the MRI SI (A-B and C are higher than D and No-LEF for T2 SI, and A-B is the highest for T1).
Int J Cerebrovasc Dis Stroke
August 2024
Department of Neurology, Neurosurgery, & Radiology, University of Iowa Hospitals and Clinics, Iowa City, IA, United States.
Background: Cerebral Venous Sinus Thrombosis (CVST) is a relatively rare type of stroke, accounting for less than 3% of all stroke cases, and is associated with significant morbidity and mortality in young females. However, when promptly diagnosed and treated, it can have favorable outcomes. Several knowledge gaps remain regarding pathophysiology, diagnosis, and management of CVST, so critical assessment of past and present research could help close these gaps or establish targeted future research goals.
View Article and Find Full Text PDFJ Eval Clin Pract
February 2025
Department of Epidemiology and Biostatistics, University of Arizona, Tucson, Arizona, USA.
Rationale: Zero-event counts are common in clinical studies, particularly when assessing rare adverse events. These occurrences can result from low event rates, short follow-up periods, and small sample sizes. When both intervention and control groups report zero events in a clinical trial, the study is referred to as a double-zero-event study, which presents methodological challenges for evidence synthesis.
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