Evidence map›Paper›PMID 33802981›Full record

ArticleDiagnostics (Basel, Switzerland)2021

Discovery of Screening Biomarkers for Major Depressive Disorder in Remission by Proteomic Approach.

Hyebin Choi, Sora Mun, Eun-Jeong Joo, Kyu Young Lee, Hee-Gyoo Kang, Jiyeong Lee

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 48% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Hyebin ChoiDepartment of Senior Healthcare, Graduate School, Eulji University, Seongnam 13135, Korea.
Sora MunDepartment of Senior Healthcare, Graduate School, Eulji University, Seongnam 13135, Korea.
Eun-Jeong JooDepartment of Neuropsychiatry, School of Medicine, Eulji University, Daejeon 34824, Korea.
Kyu Young LeeDepartment of Neuropsychiatry, School of Medicine, Eulji University, Daejeon 34824, Korea.
Hee-Gyoo KangDepartment of Senior Healthcare, Graduate School, Eulji University, Seongnam 13135, Korea.ORCID 0000-0001-8690-2483
Jiyeong LeeDepartment of Biomedical Laboratory Science, College of Health Science, Eulji University, Uijeongbu 11759, Korea.
Eulji University · KR

Funding

Ministry of Science and ICT, South Korea 2020R1C1C1009196Ministry of Science, ICT and Future Planning 2016M3A9B694241
6 · The paper itself

Abstract

Major depressive disorder (MDD) is a common disorder involving depressive mood and decreased motivation. Due to its high heterogeneity, novel biomarkers are required to diagnose MDD. In this study, a proteomic method was used to identify a new MDD biomarker. Using sequential window acquisition of all theoretical mass spectra acquisitions and multiple reaction monitoring analysis via mass spectrometry, relative and absolute quantification of proteins in the sera was performed. The results of the relative quantitation by sequential window acquisition for all theoretical mass spectra data showed that seven proteins were significantly differently expressed between MDD patients and other patients with remission status. However, absolute quantification by multiple reaction monitoring analysis identified prothrombin as the only significantly upregulated protein in the depressive state compared to remission (

Indexed as

biomarkerLC-MS/MSmajor depressive disorderproteomicsprothrombin

Identifiers

PMID33802981
PMCPMC8002827
OpenAlexW3138713807

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.