PXD036969 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Multi-omics provide evidence for an anti-inflammatory immune signature and metabolic alterations in patients with Long COVID Syndrome – an exploratory study (plasma) |
Description | Despite the increasing prevalence of patients with Long Covid Syndrome (LCS), to date the pathophysiology of the disease is still unclear, and therefore diagnosis and therapy are a complex effort without any standardization. To address these issues, we performed a broad exploratory screening study applying state-of-the-art post-genomic profiling methods to blood plasma derived from three groups: 1) healthy individuals vaccinated against SARS-CoV-2 without exposure to the full virus, 2) asymptomatic fully recovered patients at least three months after SARS-CoV-2 infection, 3) symptomatic patients at least 3 months after a SARS-CoV-2 infection, here designated as Long Covid Syndrome (LCS) patients. Multiplex cytokine profiling indicated slightly elevated cytokine levels in recovered individuals in contrast to LCS patients, who displayed lowest levels of cytokines. Label-free proteome profiling corroborated an anti-inflammatory status in LCS characterized by low acute phase protein levels and a uniform down-regulation of macrophagederived secreted proteins, a pattern also characteristic for chronic fatigue syndrome (CFS). Along those lines, eicosanoid and docosanoid analysis revealed high levels of omega-3 fatty acids and a prevalence of anti-inflammatory oxylipins in LCS patients compared to the other study groups. Targeted metabolic profiling indicated low amino acid and triglyceride levels and deregulated acylcarnithines, characteristic for CFS and indicating mitochondrial stress in LCS patients. The anti-inflammatory osmolytes taurine and hypaphorine were significantly up-regulated in LCS patients. In summary, here we present evidence for a specific anti-inflammatory and highly characteristic metabolic signature in LCS which could serve for future diagnostic purposes and help to establish rational therapeutic interventions in these patients. |
HostingRepository | PRIDE |
AnnounceDate | 2023-11-14 |
AnnouncementXML | Submission_2023-11-14_08:28:22.569.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Christopher Gerner |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | iodoacetamide derivatized residue |
Instrument | timsTOF Pro |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2022-09-25 14:14:14 | ID requested | |
1 | 2023-03-10 17:25:05 | announced | |
⏵ 2 | 2023-11-14 08:28:24 | announced | 2023-11-14: Updated project metadata. |
Publication List
Kovarik JJ, Bileck A, Hagn G, Meier-Menches SM, Frey T, Kaempf A, Hollenstein M, Shoumariyeh T, Skos L, Reiter B, Gerner MC, Spannbauer A, Hasimbegovic E, Schmidl D, Garh, ö, fer G, Gy, ö, ngy, ö, si M, Schmetterer KG, Gerner C, A multi-omics based anti-inflammatory immune signature characterizes long COVID-19 syndrome. iScience, 26(1):105717(2023) [pubmed] |
Keyword List
ProteomeXchange project tag: Sars-cov-2, Covid-19 |
submitter keyword: Long Covid Syndrome |
Chronic Fatigue Syndrome |
Proteomics |
Metabolomics |
Macrophage Polarization |
Contact List
Christopher Gerner |
contact affiliation | University of Vienna, Faculty of Chemistry, Department of Analytical Chemistry |
contact email | christopher.gerner@univie.ac.at |
lab head | |
Christopher Gerner |
contact affiliation | University of Vienna |
contact email | christopher.gerner@univie.ac.at |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD036969
- Label: PRIDE project
- Name: Multi-omics provide evidence for an anti-inflammatory immune signature and metabolic alterations in patients with Long COVID Syndrome – an exploratory study (plasma)