Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Metabolomics biomarkers and the risk of overall mortality and ESRD in CKD: results from the Progredir Cohort.

ABSTRACT: 454 CKD participants were originally recruited from the outpatient services from Hospital das Clinicas, Sao Paulo. Extensive baseline data and biobank were collected between 2012-2013 in the Clinical Research Center, Universitary Hospital, Sao Paulo. Participants are being actively followed for events of mortality, renal replacement therapy and CVD. Death certificates are obtained from State and National Registries. For the this uploaded data, events were determined up to May 2017 (median follow-up time of 3 y). Censoring data was considered as the last day of contact.

ORGANISM(S): Human Homo Sapiens

TISSUE(S): Blood

DISEASE(S): Kidney Disease

SUBMITTER: Silvia Titan

PROVIDER: ST000978 | MetabolomicsWorkbench | Tue May 22 00:00:00 BST 2018

REPOSITORIES: MetabolomicsWorkbench

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	mwtab	Other

Items per page:

1 - 1 of 1

Similar Datasets

Persistence of targetable lesions, predicted therapy sensitivity and proteomes through disease evolution in pediatric acute lymphoblastic leukemia

Project description:This data set consists of pediatric acute lymphoblastic leukemia (ALL) primary bone marrow biopsies from the BC Children's Hospital BioBank, pediatric ALL cell lines, non-cancer bone marrow biopsies, and few ALL PDX. All files are DIA and searched by Spectronaut with a spectral library.

2023-01-05 | MSV000091012 | MassIVE

Acute phase serum proteome in Cardiac Surgery

Project description:This study is an analysis of the Bern perioperative Biobank, a prospective cohort of adults who underwent cardiac surgery with the use of cardiopulmonary bypass at Bern University Hospital between January and December 2019. Blood samples were taken at induction of anaesthesia and on postoperative day one.

2023-11-27 | PXD046496 | Pride

Blood RNA-seq data from individuals during the UK Covid-19 lockdown, spanning sequential weeks from first PCR-confirmed SARS-CoV-2 infection, used to evaluate blood transcriptomic signatures of viral infection and identify host-response biomarkers of early SARS-CoV-2 infection

Project description:Healthcare workers were recruited at St Bartholomew’s Hospital, London, UK in the week of lockdown in the United Kingdom (between 23rd and 31st March 2020). Participants underwent weekly evaluation using a questionnaire and biological sample collection (including serological assays) for up to 16 weeks when attending for work and self-declared as fit to attend work at each visit, with further follow up samples collected at 24 weeks. Blood RNA sequencing data was to be used to identify host-response biomarkers of early SARS-CoV-2 infection, to evaluate existing blood transcriptomic signatures of viral infection, and to describe the underlying biology during SARS-CoV-2 infection. This submission includes a total of 172 blood RNA samples from 99 participants. Of these, 114 samples (including 16 convalescent samples collected 6 months after infection) were obtained from 41 SARS-CoV-2 cases, with the remaining 58 from uninfected controls. Participants with available blood RNA samples who had PCR-confirmed SARS-CoV-2 infection during follow-up were included as ‘cases’. Those without evidence of SARS-CoV-2 infection on nasopharyngeal swabs and who remained seronegative by both Euroimmun anti S1 spike protein and Roche anti nucleocapsid protein throughout follow-up were included as uninfected controls. ‘Cases’ include all available RNA samples, including convalescent samples at week 24 of follow-up for a subset of participants. For uninfected controls, we included baseline samples only. Sample class denotes weekly interval to positive SARS-CoV-2 PCR; non-infected controls (NIC); convalescent samples (Conv)_.

2021-07-07 | E-MTAB-10022 | biostudies-arrayexpress

246a7055-8319-4940-900a-135fa7ecf419 - samples

Project description:Disease diagnoses of GCAT Cohort participants obtained from electronic health records (EHR), mainly including the time period from 2012 to 2017. Disease diagnoses are codified in ICD-9, and the position of diagnosis refers to primary/secondary diagnoses (up to 14 secondary diagnoses per visit). The date and origin of the visit are also specified (AP: primary care, UGR: emergency, AH: hospital care, SMA: outpatient medical service, SMH: hospital medical service).

| EGAD00001007731 | EGA

Gene expression profiles associated with acute myocardial infarction and risk of cardiovascular death

Project description:Whole peripheral blood samples collected into Paxgene tubes from 338 adult participants in the Emory University Cardiovascular Biobank, in Midtown Atlanta. The sample is of mixed cardiovascular function diversity, and is part of a survey of the impact of status of cardiovascular disease on gene expression and clinical attributes. Sample annotations only include gender and proofed ethnicity for purposes of IRB, as well as technical features of the study (plate, phase of study, and RNA quality RIN score). 338 individuals in the Emory Cardiovascular Biobank in Midtown Atlanta., 219 men and 119 women. The age of individulas were between 26 and 85 (mean 62). 333 Caucasian (CAU), 4 African American (AFA), 1 South Asian (SAS).

2014-07-01 | E-GEOD-49925 | biostudies-arrayexpress

Plasma Proteomics in Patients with Age-related Sarcopenia

Project description:Data-independent acquisition-based proteomics was performed on plasma samples from 60 hospitalized participants, 30 with age-related sarcopenia and 30 without. In the data, label "A" represents "sarcopenia", and "B" represents "non-sarcopenia". This study was approved by the ethics committee of hospital and informed consent were obtained from all participants.

2024-07-07 | PXD053735 |

MicroRNA sequencing of growing teratoma tissues

Project description:MicroRNA sequencing of slow and rapid growing teratoma. Teratoma without a growth trend were included as controls. In total, 9 samples were analyzed for their expressed microRNAs by sequencing. YST and EC tissues were identified from the biobank of the Department of Urology (University Hospital Düsseldorf). Total RNA has been isolated and subsequently microRNA sequencing has been performed.

2024-04-28 | GSE251975 | GEO

mRNA profiling in aortic stenosis

Project description:We compared mRNA profiles of 10 participants with severe aortic stenosis undergoing aortic valve replacement to 10 samples donated post-mortem.

2017-04-27 | E-MTAB-3105 | biostudies-arrayexpress

MeDIP and hMeDIP-seq of human cervical cancer

Project description:Two cervicitis and four cervical squamous cell carcinoma (two I-IIa and two IIb-IV) were selected from the medical records of the Department of Gynecology of Yuhuangding Hospital from January to July 2017. These six samples were performed MeDIP and hMeDIP-seq to characterize the global pattern of 5mC and 5hmC.

2019-10-04 | E-MTAB-7810 | biostudies-arrayexpress

Post-COVID symptoms and endotypes are associated with the inability to modulate the trajectory of immune and hemostatic pathways

Project description:Persistent symptoms after COVID-19 infection can affect almost half of COVID-19 survivors, leading to poor quality of life. Despite its prevalence, the pathophysiology of this phenomenon is poorly understood. We analyzed differences in gene expression between patients with and without post-COVID symptoms in hospital, at follow-up, and longitudinally. As part of the Banque Québécoise de la COVID-19 biobank, 24 adult patients who were hospitalized due to respiratory COVID-19 were enrolled. Whole blood was collected within the first 10 days in hospital and 4-12 weeks after discharge. K-medoids clustering was performed to further separate patients into clusters/endotypes for DE analysis and pathway enrichment. We found that high rates of post-COVID symptoms in hospitalized patients were associated with an inability to mount, and subsequently resolve by 4-12 weeks after discharge, a robust early response involving immune and hemostatic pathways, which was seen in two of three endotypes.

2023-08-15 | GSE222253 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data