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215 results for “convalescent”

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zenodo48/100

Multi-omics identify LRRC15 as a COVID-19 severity predictor and persistent pro-thrombotic signals in convalescence

<p>RNA sequencing, SomaLogic proteomics and flow cytometry data were generated for two cohorts of end-stage kidney disease patients with COVID-19. The Wave 1 cohort consists of samples collected from patients during the first wave of COVID-19 in early 2020, while samples were collected for the Wave 2 cohort in the following year.</p> <p>This data deposition includes the RNA-seq counts, SomaScan proteomics, flow cytometry and clinical metadata associated with the study. For further information about the study and data, see the associated GitHub repository (https://github.com/jackgisby/covid-longitudinal-multi-omics) or our pre-print (https://doi.org/10.1101/2022.04.29.22274267). The repository also contains code to replicate our analysis of the data.</p> <p>The raw RNA-seq reads were processed using the nf-core RNA-seq v3.2 pipeline before htseq-count was used to generate a raw counts matrix, which is included in this deposition (<code>htseq_counts.csv</code>). Three files make up the proteomics data: <code>sample_technical_meta.csv</code>, <code>feature_meta.csv</code> and <code>soma_abundance.csv</code>. The first two files contain metadata columns for the samples and protein features, respectively. The final file includes the unprocessed protein abundance data. The files <code>general_panel.csv</code> and <code>t_cell_panel.csv</code> contain the flow cytometry data, split into the general and T-cell panels, respectively. Finally, clinical metadata is available for the two cohorts described in this study (<code>w1_metadata.csv</code>, <code>w2_metadata.csv</code>).</p> <p>The features in the clinical metadata include:</p> <table> <thead> <tr> <th>Column Name</th> <th>Data Type</th> <th>Description</th> </tr> </thead> <tbody> <tr> <td>sample_id</td> <td>Character</td> <td>Unique identifier for samples</td> </tr> <tr> <td>individual_id</td> <td>Character</td> <td>Unique identifier for individuals</td> </tr> <tr> <td>ethnicity</td> <td>Character</td> <td>The individual&#39;s ethnicity (asian, white, black or other)</td> </tr> <tr> <td>sex</td> <td>Character</td> <td>The individual&#39;s sex (M or F)</td> </tr> <tr> <td>calc_age</td> <td>Integer</td> <td>Age in years</td> </tr> <tr> <td>ihd</td> <td>Character</td> <td>Information on coronary heart disease</td> </tr> <tr> <td>previous_vte</td> <td>Character</td> <td>Whether individuals have had venous thromboembolism</td> </tr> <tr> <td>copd</td> <td>Character</td> <td>Whether individuals have chronic obstructive pulmonary disease</td> </tr> <tr> <td>diabetes</td> <td>Character</td> <td>Whether individuals have diabetes, and, if so, the type of diabetes</td> </tr> <tr> <td>smoking</td> <td>Character</td> <td>Smoking status</td> </tr> <tr> <td>cause_eskd</td> <td>Character</td> <td>Cause of ESKD</td> </tr> <tr> <td>WHO_severity</td> <td>Character</td> <td>The peak (WHO) severity for the patient over the disease course</td> </tr> <tr> <td>WHO_temp_severity</td> <td>Character</td> <td>The (WHO) severity at time of sampling</td> </tr> <tr> <td>fatal_disease</td> <td>Logical</td> <td>Whether the disease was fatal</td> </tr> <tr> <td>case_control</td> <td>Character</td> <td>Whether the individual was COVID-19 <code>POSITIVE</code> or <code>NEGATIVE</code> at time of sampling. Convalescent patients are denoted by the label <code>RECOVERY</code></td> </tr> <tr> <td>radiology_evidence_covid</td> <td>Character</td> <td>Evidence of COVID-19 from radiology</td> </tr> <tr> <td>time_from_first_symptoms</td> <td>Integer</td> <td>The number of days since the individual first experienced COVID symptoms at time of sampling</td> </tr> <tr> <td>time_from_first_positive_swab</td> <td>Integer</td> <td>The number of days since the individual&#39;s first positive swab was taken at time of sampling</td> </tr> </tbody> </table>

opencc-by-4.0Apr 2022View details →
zenodo40/100

ROB 2 assessments_Convalescent plasma or hyperimmune immunoglobulin for people with COVID-19_a living systematic review

<p>Risk of bias assessments and support for judgement with ROB 2 tool for the Cochrane Review: Convalescent plasma or hyperimmune immunoglobulin for people with COVID-19:a living systematic review (Version 3).&nbsp;</p>

opencc-by-4.0Oct 2020View details →
zenodo40/100

Risk of bias assessments for version 5 of the Cochrane review 'Convalescent plasma for people with COVID-19'

<p>Risk of bias assessments and support for judgement with ROB 2 tool for the Cochrane Living Systematic Review: Convalescent plasma&nbsp;for people with COVID-19 (Version 5).&nbsp;</p>

opencc-by-4.0Jun 2022View details →
ClinicalTrials.gov40/100

Observational Study of Convalescent Plasma for Treatment of Veterans With COVID-19

ClinicalTrials.gov study NCT04545047. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
zenodo36/100

Single-cell immune repertoire sequencing of two convalescent COVID-19 patients

<p>Single-cell immune repertoire sequencing of two convalescent COVID-19 patients using 10x genomics 5&#39; immune profiling. Resulting output files are from the count and vdj functions from 10x genomic&#39;s cellranger v3.1.0.&nbsp;</p>

opencc-by-4.0Nov 2020View details →
zenodo36/100

Source data for Neutralization of SARS-CoV-2 variants by convalescent and BNT162b2 vaccinated serum

<p>This dataset contains the source data used in the publication: &quot;Neutralization of SARS-CoV-2 variants by convalescent and BNT162b2 vaccinated serum&quot; published in Nature communications on August 26, 2021 (10.1038/s41467-021-25479-6).</p>

opencc-by-4.0Aug 2021View details →
zenodo36/100

Transcriptome profiling of human monocytes from accute phase and convalescent patients infected with Plasmodium vivax malaria

<p>&nbsp; &nbsp; &nbsp; &nbsp;RNA sequencing raw data&nbsp;of monocytes&nbsp;obtained from five patients in acute phase of <em>Plasmodium vivax </em>malaria and 45 days after treatment. Individuals from Rond&ocirc;nia (Brazil) were between 18 and 60 years and attended to the exclusion criteria:&nbsp;chronic inflammatory or infectious diseases, pregnancy, and breastfeeding. Diagnostic&nbsp;of&nbsp;malaria by clinical symptoms and thick blood smear was also confirmed by&nbsp;qPCR. According to the recommended protocol of the Brazilian Ministry of Health patients were treated with&nbsp;chloroquine associated to primaquine. Protocols used were&nbsp;approved by the Ethical Committees on Human Experimentation from Instituto Rene ́ Rachou, Fiocruz, and National Ethical Council (CAAE: 59902816.7.0000.5091).&nbsp;</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp;Sequencing was performed in a&nbsp;&nbsp;NextSeq 500 system using the NextSeq 500/550 High Output Kit v2.5 for 75 cycles&nbsp;(both from Illumina). Before sequencing total mRNA samples were prepared using&nbsp;TruSeq Stranded mRNA Kit (Illumina) according to the manufacturer&rsquo;s protocol.&nbsp;Files are in FASTQ format, just as they were downloaded from Illumina&#39;s cloud environment (BaseSpace) right after sequencing. Files are identified by patient number (1 to 5) and health condition: acute phase of the disease or convalescent (45 days after treatment).</p>

opencc-by-4.0Feb 2023View details →
ClinicalTrials.gov36/100

Convalescent Plasma as Treatment for Subjects With Early COVID-19 Infection

ClinicalTrials.gov study NCT04456413. IPD Sharing: NO. Countries: 1. Publications: 22.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

COVID-19 Convalescent Plasma

ClinicalTrials.gov study NCT04340050. IPD Sharing: YES. Countries: 1. Publications: 4.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov36/100

Treatment With Investigational Convalescent Plasma and Measure Antibody Levels in Patients Hospitalized With COVID-19

ClinicalTrials.gov study NCT04434131. IPD Sharing: NO. Countries: 1. Publications: 5.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

Convalescent Plasma for Early Treatment of COVID-19

ClinicalTrials.gov study NCT04390503. IPD Sharing: NO. Countries: 1. Publications: 7.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

CONvalescent Plasma for Hospitalized Adults With COVID-19 Respiratory Illness (CONCOR-1)

ClinicalTrials.gov study NCT04348656. IPD Sharing: NO. Countries: 3. Publications: 3.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

Convalescent Plasma in the Early Treatment of High-Risk Patients With SARS-CoV-2 (COVID-19) Infection

ClinicalTrials.gov study NCT04513158. IPD Sharing: NO. Countries: 1. Publications: 38.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

COVID-19 Convalescent Plasma for the Treatment of Hospitalized Patients With Pneumonia Caused by SARS-CoV-2.

ClinicalTrials.gov study NCT04397757. IPD Sharing: Not stated. Countries: 1. Publications: 2.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

Emergency Evaluation of Convalescent Plasma for Ebola Viral Disease (EVD) in Guinea

ClinicalTrials.gov study NCT02342171. IPD Sharing: Not stated. Countries: 1. Publications: 3.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

Efficacy of Reinforcing Standard Therapy in COVID-19 Patients With Repeated Transfusion of Convalescent Plasma

ClinicalTrials.gov study NCT04803370. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

Therapeutic Plasma Exchange Followed by Convalescent Plasma Transfusion in Severe and Critically Ill COVID-19 Patients

ClinicalTrials.gov study NCT04973488. IPD Sharing: YES. Countries: 1. Publications: 1.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov36/100

Convalescent Plasma to Limit SARS-CoV-2 Associated Complications

ClinicalTrials.gov study NCT04373460. IPD Sharing: YES. Countries: 1. Publications: 5.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov36/100

Convalescent Plasma in Outpatients With COVID-19

ClinicalTrials.gov study NCT04355767. IPD Sharing: YES. Countries: 1. Publications: 1.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov36/100

Determinants of SARS (Severe Acute Respiratory Syndrome)-COV2 (COVID-19) Persistence After Convalescence

ClinicalTrials.gov study NCT04448145. IPD Sharing: UNDECIDED. Countries: 1. Publications: 13.

restrictedIPD-UNDECIDEDFeb 2026View details →

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