Evidence map›Paper›PMID 35500644›Full record

ArticleThe Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases

The expression patterns of MALAT-1, NEAT-1, THRIL, and miR-155-5p in the acute to the post-acute phase of COVID-19 disease.

Mohammad Abbasi-Kolli, Javid Sadri Nahand, Seyed Jalal Kiani, Khadijeh Khanaliha, AliReza Khatami, Mohammad Taghizadieh, Ali Rajabi Torkamani, Kimiya Babakhaniyan, Farah Bokharaei-Salim

Abstract read
In one paragraph

Article in The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

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  12. Regulatory role of microRNAs in virus-mediated inflammation.Journal of inflammation (London, England) · 2024
    Review
  13. Article
  14. Review
  15. Article
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  17. Article
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  19. Long COVID: Molecular Mechanisms and Detection Techniques.International journal of molecular sciences · 2023
    Review
  20. 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.

Mohammad Abbasi-KolliIran University of Medical Sciences, Deputy of Health, Tehran, Iran.
Javid Sadri NahandTabriz University of Medical Sciences, Infectious and Tropical Diseases Research Center, Tabriz, Iran.
Seyed Jalal KianiIran University of Medical Sciences, School of Medicine, Department of Virology, Tehran, Iran.
Khadijeh KhanalihaUniversity of Medical Sciences, Institute of Immunology and Infectious Diseases, Research Center of Pediatric Infectious Diseases, Tehran, Iran.
AliReza KhatamiIran University of Medical Sciences, School of Medicine, Department of Virology, Tehran, Iran.
Mohammad TaghizadiehTabriz University of Medical Sciences, Center for Women's Health Research Zahra, School of Medicine, Department of Pathology, Tabriz, Iran.
Ali Rajabi TorkamaniTehran University of Medical Sciences, School of Medicine, Department of Clinical Biochemistry, Tehran, Iran.
Kimiya BabakhaniyanIran University of Medical Sciences, School of Nursing and Midwifery, Department of Medical Surgical Nursing, Tehran, Iran.
Farah Bokharaei-SalimIran University of Medical Sciences, School of Medicine, Department of Virology, Tehran, Iran. Electronic address: bokharaei.f@iums.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOne of the hallmarks of COVID-19 is overwhelming inflammation, which plays a very important role in the pathogenesis of COVID-19. Thus, identification of inflammatory factors that interact with the SARS-CoV-2 can be very important to control and diagnose the severity of COVID-19. The aim of this study was to investigate the expression patterns of inflammation-related non-coding RNAs (ncRNAs) including MALAT-1, NEAT-1, THRIL, and miR-155-5p from the acute phase to the recovery phase of COVID-19.

methodsTotal RNA was extracted from Peripheral Blood Mononuclear Cell (PBMC) samples of 20 patients with acute COVID-19 infection and 20 healthy individuals and the expression levels of MALAT-1, NEAT-1, THRIL, and miR-155-5p were evaluated by real-time PCR assay. Besides, in order to monitor the expression pattern of selected ncRNAs from the acute phase to the recovery phase of COVID-19 disease, the levels of ncRNAs were re-measured 6‒7 weeks after the acute phase.

resultThe mean expression levels of MALAT-1, THRIL, and miR-155-5p were significantly increased in the acute phase of COVID-19 compared with a healthy control group. In addition, the expression levels of MALAT-1 and THRIL in the post-acute phase of COVID-19 were significantly lower than in the acute phase of COVID-19. According to the ROC curve analysis, these ncRNAs could be considered useful biomarkers for COVID-19 diagnosis and for discriminating between acute and post-acute phase of COVID-19. DISCUSSION: Inflammation-related ncRNAs (MALAT-1, THRIL, and miR-150-5p) can act as hopeful biomarkers for the monitoring and diagnosis of COVID-19 disease.

Indexed as

COVID-19MicroRNAsRNA, Long NoncodingBiomarkersCOVID-19 TestingHumansInflammationLeukocytes, MononuclearPost-Acute COVID-19 SyndromeSARS-CoV-2BiomarkersMALAT1 long non-coding RNA, humanMicroRNAsMIRN155 microRNA, humanNEAT1 long non-coding RNA, humanRNA, Long NoncodingBiomarkerCOVID-19InflammationLong non-coding RNAsMicroRNAs

Identifiers

PMID35500644
PMCPMC9035361

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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.