Publications by authors named "J E SINSHEIMER"

Article Synopsis
  • The study explores whether specific characteristics can help identify undiagnosed patients who may be solvable through the Undiagnosed Diseases Network (UDN).
  • It analyzes differences between applicants who were accepted, denied, or had their cases resolved, focusing on demographics and symptom presentation.
  • The findings suggest that the UDN can provide valuable diagnostic recommendations for nonaccepted applicants, potentially leading to further evaluations.
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Background: Untargeted high-resolution metabolomic profiling provides simultaneous measurement of thousands of metabolites. Metabolic networks based on these data can help uncover disease-related perturbations across interconnected pathways.

Objective: Identify metabolic disturbances associated with Parkinson's disease (PD) in two population-based studies using untargeted metabolomics.

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For species of management concern, accurate estimates of inbreeding and associated consequences on reproduction are crucial for predicting their future viability. However, few studies have partitioned this aspect of genetic viability with respect to reproduction in a group-living social mammal. We investigated the contributions of foundation stock lineages, putative fitness consequences of inbreeding, and genetic diversity of the breeding versus nonreproductive segment of the Yellowstone National Park gray wolf population.

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Article Synopsis
  • Obesity can lead to inflammation and related health issues due to dysfunction in fat tissue.
  • In this study, researchers examined preadipocytes (fat cells) from identical twins with different BMIs to understand how increased BMI affects chromatin structure and its role in inflammation.
  • Findings reveal that higher BMI alters the accessibility of chromatin in these cells, which is linked to higher levels of systemic inflammation, suggesting a genetic and environmental interaction that contributes to obesity-related issues.
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Background: Non-alcoholic fatty liver disease (NAFLD) is a fast-growing, underdiagnosed, epidemic. We hypothesise that obesity-related inflammation compromises adipose tissue functions, preventing efficient fat storage, and thus driving ectopic fat accumulation into the liver.

Methods: To identify adipose-based mechanisms and potential serum biomarker candidates (SBCs) for NAFLD, we utilise dual-tissue RNA-sequencing (RNA-seq) data in adipose tissue and liver, paired with histology-based NAFLD diagnosis, from the same individuals in a cohort of obese individuals.

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