Evidence map›Paper›PMID 32748469›Full record

ArticleJournal of clinical laboratory analysis2020

Increased expression of plasma hsa-miR-181a in male patients with heroin addiction use disorder.

Wenjin Xu, Ming Zhao, Zi Lin, Haixiong Liu, Hong Ma, Qingxiao Hong, Donghui Gui, Jiying Feng, Yue Liu, Wenhua Zhou and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 31% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Biochemical Diagnosis in Substance and Non-substance Addiction.Advances in experimental medicine and biology · 2025
    Review
  4. The Role of Estrogen in Brain MicroRNAs Regulation.Advanced pharmaceutical bulletin · 2024
    Review
  5. Article
  6. Evaluation of microRNA let-7b-3p expression levels in methamphetamine abuse.Revista da Associacao Medica Brasileira (1992) · 2023
    Article
  7. Article
  8. Noncoding RNA therapeutics for substance use disorder.Advances in drug and alcohol research · 2022
    Article
  9. 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

11 authors at 1 institution in 1 country.

Wenjin XuLaboratory of Behavioral Neuroscience, Ningbo Addiction Research and Treatment Center, Key Laboratory of Addiction Research of Zhejiang Province, School of Medicine, Ningbo Institute of Microcirculation and Henbane, Ningbo University, Ningbo, China.
Ming ZhaoDepartment of Medical Services, The Affiliated Hospital of Medical School of Ningbo University, Ningbo, China.
Zi LinLaboratory of Behavioral Neuroscience, Ningbo Addiction Research and Treatment Center, Key Laboratory of Addiction Research of Zhejiang Province, School of Medicine, Ningbo Institute of Microcirculation and Henbane, Ningbo University, Ningbo, China.
Haixiong LiuLaboratory of Behavioral Neuroscience, Ningbo Addiction Research and Treatment Center, Key Laboratory of Addiction Research of Zhejiang Province, School of Medicine, Ningbo Institute of Microcirculation and Henbane, Ningbo University, Ningbo, China.
Hong MaDepartment of Psychiatry, Ningbo Kangning Hospital, Ningbo, China.
Qingxiao HongLaboratory of Behavioral Neuroscience, Ningbo Addiction Research and Treatment Center, Key Laboratory of Addiction Research of Zhejiang Province, School of Medicine, Ningbo Institute of Microcirculation and Henbane, Ningbo University, Ningbo, China.
Donghui GuiLaboratory of Behavioral Neuroscience, Ningbo Addiction Research and Treatment Center, Key Laboratory of Addiction Research of Zhejiang Province, School of Medicine, Ningbo Institute of Microcirculation and Henbane, Ningbo University, Ningbo, China.
Jiying FengLaboratory of Behavioral Neuroscience, Ningbo Addiction Research and Treatment Center, Key Laboratory of Addiction Research of Zhejiang Province, School of Medicine, Ningbo Institute of Microcirculation and Henbane, Ningbo University, Ningbo, China.
Yue LiuLaboratory of Behavioral Neuroscience, Ningbo Addiction Research and Treatment Center, Key Laboratory of Addiction Research of Zhejiang Province, School of Medicine, Ningbo Institute of Microcirculation and Henbane, Ningbo University, Ningbo, China.
Wenhua ZhouLaboratory of Behavioral Neuroscience, Ningbo Addiction Research and Treatment Center, Key Laboratory of Addiction Research of Zhejiang Province, School of Medicine, Ningbo Institute of Microcirculation and Henbane, Ningbo University, Ningbo, China.
Huifen LiuLaboratory of Behavioral Neuroscience, Ningbo Addiction Research and Treatment Center, Key Laboratory of Addiction Research of Zhejiang Province, School of Medicine, Ningbo Institute of Microcirculation and Henbane, Ningbo University, Ningbo, China.ORCID https://orcid.org/0000-0003-2559-3466
Ningbo University · CN

Funding

National Key R&D Program of China 2017YFC1310400National Natural Science Foundation of China 81671321Natural Science Foundation of Ningbo 2015C110026Natural Science Foundation of Zhejiang Province LY18H090008Ningbo Natural Science Foundation 2018A610291
6 · The paper itself

Abstract

backgroundDrug addiction is an uncontrolled, chronic, and recurrent encephalopathy that presently lacks specific and characteristic biomarkers for diagnosis and treatment. As regulators of gene expression, microRNAs (miRNAs) are increasingly used for diagnostic and prognostic purposes in various disease states. Previous studies indicated that miRNAs play important roles in the development and progression of drug addictions, including addiction to methamphetamine, cocaine, alcohol, and heroin.

methodsWe identified significant miRNAs using the microarray method and then validated the hsa-miR-181a expression levels in 53 heroin addiction patients and 49 normal controls using quantitative real-time reverse transcription-polymerase chain reaction (qRT-PCR). Finally, the potential associations between transcriptional levels in heroin addiction patients and their clinicopathological features were analyzed.

resultsA total of 2006 miRNAs were differentially expressed between heroin addiction patients and normal controls. The top 10 up-regulated miRNAs in patients were hsa-miR-21a, hsa-miR-181a, hsa-miR-4459, hsa-miR-4430, hsa-miR-4306, hsa-miR-22-3P, hsa-miR-486-5P, hsa-miR-371b-5P, hsa-miR-92a-3P, and hsa-miR-5001-5P. The top 10 down-regulated miRNAs in patients were hsa-miR-3195, hsa-miR-4767, hsa-miR-3135b, hsa-miR-6087, hsa-miR-1181, hsa-miR-4785, hsa-miR-718, hsa-miR-3141, hsa-miR-652-5P, and hsa-miR-6126. The expression level of hsa-miR-181a in heroin addiction patients was significantly increased compared with that in normal controls (P < .001). The area under the receiver operating characteristic curve of hsa-miR-181a was 0.783, the sensitivity was 0.867, and the specificity was 0.551.

conclusionsThe increased expression of hsa-miR-181a in the plasma of heroin patients may be a consequence of the pathological process of heroin abuse. This study highlights the potential of hsa-miR-181a as a novel biomarker for the diagnosis of heroin addiction.

Indexed as

Heroin DependenceMicroRNAsAdultBiomarkersChinaHumansMaleMiddle AgedTranscriptomeUp-RegulationYoung AdultBiomarkersMicroRNAsMIrn181 microRNA, humanbiomarkerdiagnosisHeroin addictionhsa-miR-181asubstance abuse

Identifiers

PMID32748469
PMCPMC7676194
OpenAlexW3047457309

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.