Evidence map›Paper›PMID 36251659›Full record

ArticlePLoS neglected tropical diseases2022

Discovery and validation of circulating miRNAs for the clinical prognosis of severe dengue.

Umaporn Limothai, Nattawat Jantarangsi, Natthasit Suphavejkornkij, Sasipha Tachaboon, Janejira Dinhuzen, Watchadaporn Chaisuriyong, Supachoke Trongkamolchai, Mananya Wanpaisitkul, Chatchai Chulapornsiri, Anongrat Tiawilai and 4 more

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2022. 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
2.0field-weighted citation impact, top 14% 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, 12 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Proceedings of the 7Vaccines · 2025
    Article
  5. Article
  6. miR-574-5p in epigenetic regulation and Toll-like receptor signaling.Cell communication and signaling : CCS · 2024
    Review
  7. Review
  8. Cross Talk between MicroRNAs and Dengue Virus.The American journal of tropical medicine and hygiene · 2024
    Review
  9. Common arboviruses and the kidney: a review.Jornal brasileiro de nefrologia
    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

14 authors at 4 institutions in 2 countries.

Umaporn LimothaiExcellence Center for Critical Care Nephrology, King Chulalongkorn Memorial Hospital, Bangkok, Thailand.
Nattawat JantarangsiDepartment of internal medicine, Buddhachinaraj hospital, Phitsanulok, Thailand.
Natthasit SuphavejkornkijDepartment of internal medicine, Uttaradit hospital, Uttaradit, Thailand.
Sasipha TachaboonExcellence Center for Critical Care Nephrology, King Chulalongkorn Memorial Hospital, Bangkok, Thailand.
Janejira DinhuzenExcellence Center for Critical Care Nephrology, King Chulalongkorn Memorial Hospital, Bangkok, Thailand.
Watchadaporn ChaisuriyongExcellence Center for Critical Care Nephrology, King Chulalongkorn Memorial Hospital, Bangkok, Thailand.
Supachoke TrongkamolchaiBanpong Hospital, Ratchaburi, Thailand.
Mananya WanpaisitkulBanpong Hospital, Ratchaburi, Thailand.
Chatchai ChulapornsiriBanpong Hospital, Ratchaburi, Thailand.
Anongrat TiawilaiPhotharam Hospital, Ratchaburi, Thailand.
Thawat TiawilaiPhotharam Hospital, Ratchaburi, Thailand.
Terapong TantawichienTropical Medicine Cluster, Chulalongkorn University, Bangkok, Thailand.
Usa ThisyakornTropical Medicine Cluster, Chulalongkorn University, Bangkok, Thailand.
Nattachai SrisawatExcellence Center for Critical Care Nephrology, King Chulalongkorn Memorial Hospital, Bangkok, Thailand.ORCID 0000-0002-8544-8132
Chulalongkorn University · THRatchaburi Hospital · THBuddhachinaraj Hospital · THUttaradit Rajabhat University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly prognostic markers of severe dengue may improve case management and reduce dengue-related mortalities. This study aimed to identify circulating microRNAs (miRNAs) as biomarkers for predicting severe dengue. METHODOLOGY: Serum samples from dengue-infected patients were collected on the first day of admission. Patients were followed up for 14 days after admission to determine the final diagnosis. Participants were divided into non-severe and severe dengue, as defined by WHO 2009 criteria. Circulating microtranscriptome analysis was performed using NanoString miRNA Expression Assay. The expression level of candidate miRNAs were then validated by quantitative reverse transcription-PCR method. PRINCIPAL

findingsThe discovery cohort (N = 19) lead to the identification of 37 differentially expressed miRNAs between the two groups. Six up-regulated candidate miRNAs were selected and further validated in the larger cohort (N = 135). MiR574-5p and miR1246 displayed the highest diagnostic performance in discriminating between severe from non-severe dengue (ROC-AUC = 0.83). Additionally, miR574-5p and miR1246 had high sensitivity and high negative predictive value for detecting severe dengue. Multivariate analysis suggested that serum miR574-5p was an independent predictor of severe dengue (odds ratio 3.30, 95% CI 1.81-6.04; p<0.001).

conclusionOur study indicated that circulating miRNAs, especially miR-574-5p and miR-1246, might be a promising diagnostic and prognostic biomarker for severe dengue upon hospital admission, especially when using these biomarkers on days 1 to 2 before the onset of severe dengue complications.

Indexed as

Circulating MicroRNADengueMicroRNAsBiomarkersBiomarkers, TumorCase-Control StudiesGene Expression ProfilingHumansPrognosisBiomarkersBiomarkers, TumorCirculating MicroRNAMicroRNAs

Identifiers

PMID36251659
PMCPMC9576100
OpenAlexW4306630448

What OpenQuestion holds

Textmetadata
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.