Data · dataset · 2022
Higher Interleukin 13 differentiates patients with a positive history of suicide attempts in major depressive disorder
Listed in Teesside University Research Data Repository
Every 40 seconds one person dies from suicide worldwide, half of which are related to depression.
Description
Neuroinflammation has been reported in neuropsychiatricconditions, including major depressive disorder (MDD). Preliminary findings suggested a link between inflammation and suicidal behavior.
Nevertheless,to the best of our knowledge, no previous study explored how a wide range of cytokines may differentiate lifetime suicidal behaviors (i.e. positive history of suicide attempts) in patients affected by MDD. In 28 healthy controls (HC), 28 MDD patients with a positive history of attempting suicide (SA), and 28 MDD patients with a negative history (nSA), we determined concentrations of immune analytes using an ultra-sensitive Pro Human Cytokine Group 27-Plex Panel and Chemokine immunoassay panels (Bioplex).
Read the rest (1 more)
To deal with the 27 highly correlated cytokines we applied two different statistical approaches that reduce the dimensionality of data: Principal Component Analysis, exploring if suicidality may be related to a comprehensive derived inflammatory state, and elastic-net penalized regression that allows considering as predictor every single cytokine. Biological data are not uploaded due to ethical restrictions. doi.org/10.1016/j.jadr.2021.100254
Links
Where it is published
- DOI doi.org/10.17632/ngx8m48vxf.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Computer Science & AI · Earth & Environmental Science · Engineering · Humanities · Life Sciences · Machine learning · Social Science
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/ngx8m48vxf.1 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:group:4611 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Machine Learning'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |