Evidence map›Paper›PMID 32245436›Full record

ArticleBMC psychiatry2020

Comparison of serum protein profiles between major depressive disorder and bipolar disorder.

Sang Jin Rhee, Dohyun Han, Yunna Lee, Hyeyoung Kim, Junhee Lee, Kangeun Lee, Hyunsuk Shin, Hyeyoon Kim, Tae Young Lee, Minah Kim and 4 more

Abstract readComparative Study
In one paragraph

Article in BMC psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Clinical Utility of Fluid Biomarker in Depressive Disorder.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2022
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

14 authors.

Sang Jin RheeDepartment of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea.
Dohyun HanProteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea.
Yunna LeeDepartment of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea.
Hyeyoung KimDepartment of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea.
Junhee LeeDepartment of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea.
Kangeun LeeDepartment of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea.
Hyunsuk ShinProteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea.
Hyeyoon KimProteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea.
Tae Young LeeInstitute of Human Behavioral Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea.
Minah KimDepartment of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea.
Se Hyun KimDepartment of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea.
Yong Min AhnDepartment of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea.
Jun Soo KwonDepartment of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea.
Kyooseob HaDepartment of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea. kyooha@snu.ac.kr.

Funding

Ministry of Health & Welfare, Republic of Korea HI17C0870Ministry of Science, ICT and Future Planning NRF-2019M3C7A1030625
6 · The paper itself

Abstract

backgroundMajor depressive disorder and bipolar disorder are prevalent and debilitating psychiatric disorders that are difficult to distinguish, as their diagnosis is based on behavioural observations and subjective symptoms. Quantitative protein profile analysis might help to objectively distinguish between these disorders and increase our understanding of their pathophysiology. Thus, this study was conducted to compare the peripheral protein profiles between the two disorders.

methodsSerum samples were collected from 18 subjects with major depressive disorder and 15 subjects with bipolar disorder. After depleting abundant proteins, liquid chromatography-tandem mass spectrometry (LC-MS/MS) and label-free quantification were performed. Data-dependent acquisition data were statistically analysed from the samples of 15 subjects with major depressive disorder and 10 subjects with bipolar disorder who were psychotropic drug-free. Two-sided t-tests were performed for pairwise comparisons of proteomes to detect differentially-expressed proteins (DEPs). Ingenuity Pathway Analysis of canonical pathways, disease and functions, and protein networks based on these DEPs was further conducted.

resultsFourteen DEPs were significant between subjects with major depressive disorder and those with bipolar disorder. Ras-related protein Rab-7a (t = 5.975, p = 4.3 × 10

conclusionsRas-related protein Rab-7a, Rho-associated protein kinase 2, and Exportin-7 were identified as potential peripheral protein candidates to distinguish major depressive disorder and bipolar disorder. Further large sample studies with longitudinal designs and validation processes are warranted.

Indexed as

AdultBiomarkersBipolar DisorderBlood ProteinsChromatography, LiquidFemaleHumansMajor Depressive DisorderMaleTandem Mass SpectrometryBiomarkersBlood ProteinsBipolar disorderMajor depressive disorderProteomicsrab7 proteinROCK2 protein, humanXPO7 protein, human

Identifiers

PMID32245436
PMCPMC7118970

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.