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ProteomicsIdentification of enriched O-GlcNAc proteins in hypertrophic and normal mouse hearts
Bottom up proteomics of O-GlcNAc antibody enriched proteins from mouse heart tissue (hypertrophic vs. normal). O-GlcNAc proteins were labeled with a click chemistry kit with the tetramethylrhodamine (TAMRA) tag, then the labeled proteins were enriched with TAMRA antibody for proteomics experiments.
ORGANISM(S): Mus Musculus (ncbitaxon:10090) 
2021-12-06 | MSV000088525 | MassIVE
ProteomicsIdentification of enriched O-GlcNAc proteins in hypertrophic mouse hearts
We used C57/Bl6 mice subjected to sham or transverse aortic constriction (TAC) to create pressure-overload hypertrophy (POH). From the hearts, we stabilized and labelled the O-GlcNAc moiety with tetramethylrhodamine azide (TAMRA) before enriching by TAMRA immunoprecipitation (files with "TAMRAIP"). ...
ORGANISM(S): Mus Musculus (ncbitaxon:10090) 
2022-02-07 | MSV000088797 | MassIVE
UnknownEvolving phenotypes of non-hospitalized patients that indicate long COVID.

Background

For some SARS-CoV-2 survivors, recovery from the acute phase of the infection has been grueling with lingering effects. Many of the symptoms characterized as the post-acute sequelae of COVID-19 (PASC) could have multiple causes or are similarly seen in non-COVID patients. Accurate...
S-EPMC8474909 | biostudies-literature
UnknownInternational Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study.

Background

Many countries have experienced 2 predominant waves of COVID-19-related hospitalizations. Comparing the clinical trajectories of patients hospitalized in separate waves of the pandemic enables further understanding of the evolving epidemiology, pathophysiology, and health care dyn...
S-EPMC8510151 | biostudies-literature
UnknownMultinational characterization of neurological phenotypes in patients hospitalized with COVID-19.
Neurological complications worsen outcomes in COVID-19. To define the prevalence of neurological conditions among hospitalized patients with a positive SARS-CoV-2 reverse transcription polymerase chain reaction test in geographically diverse multinational populations during early pandemic, we used e...
S-EPMC8510999 | biostudies-literature
UnknownInternational Analysis of Electronic Health Records of Children and Youth Hospitalized With COVID-19 Infection in 6 Countries.

Importance

Additional sources of pediatric epidemiological and clinical data are needed to efficiently study COVID-19 in children and youth and inform infection prevention and clinical treatment of pediatric patients.

Objective

To describe international hospitalization trends and key ...
S-EPMC8196345 | biostudies-literature
UnknownDistinguishing Admissions Specifically for COVID-19 From Incidental SARS-CoV-2 Admissions: National Retrospective Electronic Health Record Study.

Background

Admissions are generally classified as COVID-19 hospitalizations if the patient has a positive SARS-CoV-2 polymerase chain reaction (PCR) test. However, because 35% of SARS-CoV-2 infections are asymptomatic, patients admitted for unrelated indications with an incidentally positive...
S-EPMC9119395 | biostudies-literature
UnknownHospitalizations Associated With Mental Health Conditions Among Adolescents in the US and France During the COVID-19 Pandemic.

Importance

The COVID-19 pandemic has been associated with an increase in mental health diagnoses among adolescents, though the extent of the increase, particularly for severe cases requiring hospitalization, has not been well characterized. Large-scale federated informatics approaches provid...
S-EPMC9856226 | biostudies-literature
UnknownInternational comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality.
Given the growing number of prediction algorithms developed to predict COVID-19 mortality, we evaluated the transportability of a mortality prediction algorithm using a multi-national network of healthcare systems. We predicted COVID-19 mortality using baseline commonly measured laboratory values an...
S-EPMC9192605 | biostudies-literature
UnknownCharacterization of long COVID temporal sub-phenotypes by distributed representation learning from electronic health record data: a cohort study.

Background

Characterizing Post-Acute Sequelae of COVID (SARS-CoV-2 Infection), or PASC has been challenging due to the multitude of sub-phenotypes, temporal attributes, and definitions. Scalable characterization of PASC sub-phenotypes can enhance screening capacities, disease manageme...
S-EPMC10511779 | biostudies-literature
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