Washington University School of Medicine in St. Louis Showcase

The Ethnic/Racial Variations of Intracerebral Hemorrhage (ERICH) study is a large, prospective, multi-center case-control study focused on identifying genetic and epidemiological risk factors for intracerebral hemorrhage (ICH), with an emphasis on enrolling participants from underrepresented racial and ethnic groups. The study was designed to address known disparities in ICH incidence, location, and outcomes among non-Hispanic white, Black, and Hispanic populations. The published dataset includes DICOM and NIFTI images from 2,942 subjects. Cases were identified through a rapid “hot-pursuit” enrollment strategy at clinical sites, while controls were selected through random digit dialing and matched to cases by age, sex, race/ethnicity, and geographic region. The imaging component of the dataset includes 7,988 CT sessions and 1,472 MR sessions, collected using standardized protocols across participating centers. This dataset provides a valuable resource for studying the radiographic features of ICH and supports analyses of hemorrhage patterns, severity, and outcomes in a racially and ethnically diverse population. This dataset is hosted on the Imaging Cerebrovascular Disease Knowledge Portal (iCDKP), which is supported in part by the National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), under Grant No. 1U24NS132940-01. Imaging data has been de-identified and refaced. Users are required to acknowledge both iCDKP and its federal funding source in any presentations or publications that utilize the dataset, following the citation guidelines provided on the dataset’s iCDKP page. To request access, users must register for an account and complete a Data Request License Agreement available via the iCDKP request portal: https://sites.wustl.edu/icdkp/request_data/.

This phase 3 double-blind, placebo-controlled randomized clinical trial, Starting a Testosterone and Exercise Program After Hip Injury (STEP-HI), was conducted at 8 US sites between December 2018 and August 2023. Participants were women aged 65 years or older with a recent surgical repair of a nonpathologic femur fracture, met objective criteria for mobility impairment, and were community dwelling after discharge from rehabilitation. During the first 14 months of the trial, participants were randomly assigned to 1 of 3 treatment groups: exercise plus topical testosterone gel, exercise plus placebo gel, or enhanced usual care. Statistical analysis, using a modified intention-to-treat approach, was performed from November 2023 to November 2024.

The Knight Alzheimer Disease Research Center (ADRC) Data Freeze Ending 2025-03-31 is a longitudinal compilation of harmonized, processed research data collected from August 1, 1979 through March 31, 2025. This Data Freeze represents a fixed, versioned snapshot of curated datasets maintained by the ADRC and is intended to support reproducible secondary analyses under approved data use agreements. The Data Freeze includes data contributed by multiple ADRC Cores, including clinical assessments, cognitive testing, neuropsychological measures, neuroimaging data summaries, fluid biomarker data, neuropathology variables, and related research measures. Modules are compiled, quality controlled, and integrated according to ADRC Data Management and Sharing procedures prior to freeze finalization. This dataset reflects the full longitudinal structure of ADRC participant data available as of the official cutoff date (March 31, 2025). No data collected after this date are included in this release. Each subsequent Data Freeze constitutes a new versioned dataset with its own DOI. The purpose of this Data Freeze is to: 1. Provide a stable, citable dataset snapshot for approved secondary analyses 2. Support NIH Data Management and Sharing (DMS) policy compliance 3. Enable transparency, reproducibility, and longitudinal tracking of dataset versions This repository record provides metadata describing the Data Freeze and assigns a persistent DOI to this version. The underlying human subject data are stored in a secure Research Infrastructure Services (RIS) environment and are not publicly downloadable. Access to this dataset is controlled and requires submission of a formal data request through the Knight ADRC Request Center. Approved investigators must complete the appropriate Data Use Agreement prior to receiving access. Upon approval, access to the static dataset corresponding to this DOI will be granted through ADRC-managed secure infrastructure. Investigators using this Data Freeze must cite this dataset DOI in all resulting publications and acknowledge Knight ADRC funding as specified in the Data Use Agreement. This dataset was generated and curated by the Knight ADRC Data Management and Statistics Core in collaboration with contributing ADRC Cores. For information about submitting a data request, please visit: https://knightadrc.wustl.edu/professionals-clinicians/request-center-resources/submit-a-request/

Using qPCR and targeted LC–MS/MS, we profiled S1P metabolic enzymes, receptors, and metabolites in human gestational tissues across pregnancy. These findings reveal tissue-specific regulation of S1P metabolism and signaling in human gestational tissues, suggesting a therapeutic role of S1P in modulating myometrial contractility. The collection of this data was conducted with the approval of the Washington University in St. Louis Institutional Review Board (ID# 202205099).

Trust can be defined as “a willingness to be vulnerable to another for a given set of tasks” and thus, trust and public health are inextricably linked. State actors are key participants in population health, organizing, among other things, mandates and guidelines that target health behaviors and encourage the uptake of medicines, screenings, diagnostics, and control of health conditions. Effective implementation of these crucial, government-sponsored health efforts is conditional on the public’s belief that the state is trustworthy and has one's best interest in mind – positioning trust in government as a central determinant of public health. Trusting relationships between patients, health systems, and health care providers are also essential, as high-quality, safe care and adherence with healthcare professionals’ recommendations heavily depend upon trust. In many countries, trust in government and health care providers are inseparable, as governments are the primary providers of healthcare. Despite these critical relationships, existing studies that link trust and public health outcomes often focus on contemporaneous factors, many of which are endogenous to public health outcomes (e.g., support for the incumbent political party). For example, Sopory and colleagues reported a comprehensive examination of the phenomenon of trust during public health emergency events among 68 studies from 28 countries that included individuals who were directly affected by a public health emergency. Importantly, no studies from South America or Africa were included. The shortage of research on the sociostructural, historical, economic, and political sources of low trust limits our understanding of how trust deficits might be remedied so as to improve population health. Understanding why trust is low as well as how to repair trust are thus of critical importance.

This dataset contains deidentified information from 33 adolescent girls with (n=21) and without (n=12) type 1 diabetes from 12 to 18 years of age. Parameters in the dataset include general demographics and fracture history, general health information, body composition bone mineral density by DXA, bone microarchitecture and strength by HR-pQCT, blood labs, circulating bone turnover biomarkers, and presence of peripheral neuropathy based on the Michigan Neuropathy Screening Instrument. Full details can be found in the associated files. The collection of this data was conducted with the approval of the Washington University in St. Louis Institutional Review Board (ID# 201908120). Participants provided informed consent for the sharing of de-identified data.

Data collected from 48 adult human participants with unilateral upper extremity peripheral nerve injury. The data include 89 variables for each participant, including measures of performance, hand usage, life-relevant outcomes, and injury and demographic factors. Data for each participant were collected in a single visit, and participants were recruited based on referral from one nerve surgery clinic or one hand therapy clinic in St. Louis MO USA. The collection of this data was conducted with the approval of the Washington University in St. Louis Institutional Review Board (ID# 201701125). Participants provided informed consent for the sharing of de-identified data.

This dataset contains the raw data supporting all main and supplementary figures used in the manuscript "Mucosal immunization with ChAd-SARS-CoV-2-S prevents sequential transmission of SARS-CoV-2 to unvaccinated hamsters" published in Science Advances. The data contains viral and antibody titers from hamsters not-vaccinated, mucosally vaccinated, or systemically vaccinated and then exposed to SARS-CoV-2 positive hamsters.

This dataset contains the raw data supporting all main and supplementary figures used in the manuscript "Immunogenicity and efficacy of XBB.1.5 rS vaccine against EG.5.1 variant of SARS-CoV-2 in Syrian hamsters," published in Journal of Virology (JVI). The data includes measurements of humoral and cellular immune responses in Syrian hamsters following immunization with the nanoparticle recombinant Spike (S) protein-based COVID-19 vaccine (Novavax, Inc.) from different variants. It also includes data comparing the efficacy of the updated monovalent XBB.1.5 variant vaccine to previous COVID-19 vaccines in inducing XBB.1.5 and EG.5.1 neutralizing antibodies and in protecting against a challenge with the EG.5.1 variant of SARS-CoV-2.

Bourbon virus (BRBV) is an emerging pathogen that can cause severe and fatal disease in humans. BRBV is vectored by Amblyomma americanum (lone star ticks), which are widely distributed across the central, southern, and eastern United States. This dataset describes wild animal species captured in two locations close to St. Louis Metro area and their corresponding BRBV neutralizing activity in serum illustrated by IC50 and IC90 values and their capture sites.