Evidence map›Paper›PMID 31297041›Full record

ArticleHereditas2019

Identification of serum microRNAs as diagnostic biomarkers for schizophrenia.

Kuanjun He, Chuang Guo, Meng Guo, Shuping Tong, Qiuli Zhang, Hongjun Sun, Lin He, Yongyong Shi

Abstract read
In one paragraph

Article in Hereditas, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–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

17 citing papers in PubMed.

  1. Article
  2. MicroRNAs as biomarkers and molecular mediators of cognitive dysfunction in schizophrenia.Journal of neural transmission (Vienna, Austria : 1996) · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. MiR-4763-3p targetingAging and disease · 2022
    Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. 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

8 authors.

Kuanjun He *1College of Life Science, Inner Mongolia University for Nationalities, Tongliao, 028043 People's Republic of China.
Chuang Guo *1College of Life Science, Inner Mongolia University for Nationalities, Tongliao, 028043 People's Republic of China.
Meng Guo2Network Center, Inner Mongolia University for Nationalities, Tongliao, 028043 People's Republic of China.
Shuping Tong3Affiliated Hospital of Inner Mongolia University for Nationalities, Tongliao, 028043 People's Republic of China.
Qiuli Zhang3Affiliated Hospital of Inner Mongolia University for Nationalities, Tongliao, 028043 People's Republic of China.
Hongjun SunTongliao Institute of Mental Health, Tongliao, 028043 People's Republic of China.
Lin He5Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, 200030 People's Republic of China.
Yongyong Shi5Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, 200030 People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAt present, the schizophrenia diagnoses are based on the clinical symptoms and behaviors neglecting the laboratory test indicators.

resultsTo better investigate the diagnostic potential of miRNAs for schizophrenia, we selected 14 candidate miRNAs and examined their expressions in the serums of 40 schizophrenia patients and 40 healthy controls by qRT-PCR. Ultimately three abnormally expressed microRNAs were identified, i.e., miR-34a-5p, miR-432-5p and miR-449a. Then, binary regression analysis was employed to combine 3 dysregulated miRNAs. ROC analysis revealed that the AUC of the combination of miR-432-5p + miR-449a in serums was 0.841 (95% CI: 0.791~0.887) with 90% sensitivity and 80% specificity. The AUC of the combination of miR-34a-5p + miR-432-5p + miR-449a in serums was 0.843 (95% CI: 0.791~0.887) with 90% sensitivity and 77.5% specificity. The results indicated that the combined model of miR-432-5p + miR-449a and miR-34a-5p + miR-432-5p + miR-449a have better prediction performances.

conclusionsThe study concludes that the two miRNAs combinations have the potential to be used as biomarkers for schizophrenia diagnoses. The finding may be conducive to overcoming the dilemmas faced by current schizophrenia diagnosis.

Indexed as

BiomarkersAdultCase-Control StudiesFemaleGene Expression ProfilingHumansMaleMicroRNAsPrognosisROC CurveSchizophreniaTranscriptomeYoung AdultBiomarkersMicroRNAsBiomarkersIdentificationMiRNAsSchizophreniaSerum

Identifiers

PMID31297041
PMCPMC6598381

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.