Evidence map›Paper›PMID 33192625›Full record

ArticleFrontiers in psychiatry2020

Plasma microRNA Array Analysis Identifies Overexpressed miR-19b-3p as a Biomarker of Bipolar Depression Distinguishing From Unipolar Depression.

Yu Chen, Jiabo Shi, Haiyan Liu, Qiang Wang, Xiangxiang Chen, Hao Tang, Rui Yan, Zhijian Yao, Qing Lu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 20% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. The Regulatory Potential of Long Non-Coding RNAs in Bipolar Disorder.International journal of molecular sciences · 2026
    Review
  3. Biomarkers of bipolar disorder in omics and neuroimaging.Journal of pharmaceutical analysis · 2025
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. RNA Biomarkers in Bipolar Disorder and Response to Mood Stabilizers.International journal of molecular sciences · 2023
    Review
  9. Review
  10. The role of microRNAs in depression.Frontiers in pharmacology · 2023
    Review
  11. Review
  12. Article
  13. The miRNome of Depression.International journal of molecular sciences · 2021
    Review
  14. Review
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

9 authors at 4 institutions in 1 country.

Yu ChenDepartment of Psychiatry, The Affifiliated Brain Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China.
Jiabo ShiDepartment of Psychiatry, The Affifiliated Brain Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China.
Haiyan LiuDepartment of Psychiatry, The Affifiliated Brain Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China.
Qiang WangDepartment of Medical Psychology; Nanjing Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China.
Xiangxiang ChenDepartment of Psychiatry, The Affifiliated Brain Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China.
Hao TangDepartment of Psychiatry, The Affifiliated Brain Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China.
Rui YanDepartment of Psychiatry, The Affifiliated Brain Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China.
Zhijian YaoDepartment of Psychiatry, The Affifiliated Brain Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China.
Qing LuSchool of Biological Sciences & Medical Engineering, Southeast University, Nanjing, China.
Nanjing Medical University · CNNanjing Brain Hospital · CNNanjing Drum Tower Hospital · CNSoutheast University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe clinical characteristics of bipolar disorder (current major depressive episode) (BD) overlap with unipolar depressive disorder (UD), which makes it difficult to perform an accurate diagnosis. We identified plasma microRNAs (miRNAs) that distinguished BD from UD and explored the relationship between miRNA expression levels and clinical characteristics.

methodsTotal miRNAs from blood plasma from seven UD patients, seven BD patients, and six controls were analyzed. The identified miRNAs were validated in a separate population group. Depression severity and early life adversities were assessed. Bioinformatic analysis was conducted to investigate the target genes that were identified and the pathways associated with the altered miRNAs.

resultsCompared to controls, 42 miRNAs were differentially expressed in patients. miR-19b-3p, miR-3921, and miR-1180-3p were selected to validate the microarray results. Only miR-19b-3p was validated as down-regulated in patients. The primary predicted genes associated with miR-19b-3p were MAPK1, PTEN, and PRKAA1. The most relevant KEGG pathways included mTOR, FoxO, and the PI3-K/Akt signaling pathway. BD patients were more likely to have higher expression levels of miR-19b-3p and more severe childhood trauma experience compared to UD patients.

conclusionsPlasma miR-19b-3p is a potential non-invasive biomarker that might be useful in distinguishing UD from BD. miR-19b3p was predicted to be involved in the pathway of inflammatory dysregulation associated with experiencing early childhood trauma.

Indexed as

biomarkerbipolar disordergene expressionperipheral miRNAsunipolar depression

Identifiers

PMID33192625
PMCPMC7432143
OpenAlexW3048664302

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.