ArticlePLoS neglected tropical diseases2016
A Proteomic Approach Identifies Candidate Early Biomarkers to Predict Severe Dengue in Children.
Article in PLoS neglected tropical diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.
- Early biomarkers for prediction of severe manifestations of dengue fever: a systematic review and a meta-analysis.Scientific reports · 2023Pooled it
- Routine blood parameters of dengue infected children and adults. A meta-analysis.Pathogens and global health · 2023Pooled it
- Plasma proteomics identifies early markers of endothelial and inflammatory activation associated with dengue disease severity in children.medRxiv : the preprint server for health sciences · 2026Article
- Dengue Virus and the Host Immune System: A Battle of Immune Modulation, Response and Evasion.Pathogens (Basel, Switzerland) · 2025Review
- Isotope Labeling Techniques for Virus-Infected Cells.Methods in molecular biology (Clifton, N.J.) · 2025Review
- Angiotensin II and dengue.Archives of virology · 2023Review
- Pathogenesis and virulence of flavivirus infections.Virulence · 2021Review
- Utility of Proteomics in Emerging and Re-Emerging Infectious Diseases Caused by RNA Viruses.Journal of proteome research · 2020Review
- Article
- Article
- Blood pressure trend in hospitalized adult dengue patients.PloS one · 2020Article
- Plasma cell-free DNA: a potential biomarker for early prediction of severe dengue.Annals of clinical microbiology and antimicrobials · 2019Article
- Quantitative Comparative Proteomics Reveal Biomarkers for Dengue Disease Severity.Frontiers in microbiology · 2019Article
- Dengue: a growing threat requiring vaccine development for disease prevention.Pathogens and global health · 2018Review
- A Blood RNA Signature Detecting Severe Disease in Young Dengue Patients at Hospital Arrival.The Journal of infectious diseases · 2018Article
- A proteomic analysis identifies candidate early biomarkers to predict ovarian hyperstimulation syndrome in polycystic ovarian syndrome patients.Molecular medicine reports · 2017Article
- Case Management of Dengue: Lessons Learned.The Journal of infectious diseases · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
20 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSevere dengue with severe plasma leakage (SD-SPL) is the most frequent of dengue severe form. Plasma biomarkers for early predictive diagnosis of SD-SPL are required in the primary clinics for the prevention of dengue death. METHODOLOGY: Among 63 confirmed dengue pediatric patients recruited, hospital based longitudinal study detected six SD-SPL and ten dengue with warning sign (DWS). To identify the specific proteins increased or decreased in the SD-SPL plasma obtained 6-48 hours before the shock compared with the DWS, the isobaric tags for relative and absolute quantification (iTRAQ) technology was performed using four patients each group. Validation was undertaken in 6 SD-SPL and 10 DWS patients. PRINCIPAL
findingsNineteen plasma proteins exhibited significantly different relative concentrations (p<0.05), with five over-expressed and fourteen under-expressed in SD-SPL compared with DWS. The individual protein was classified to either blood coagulation, vascular regulation, cellular transport-related processes or immune response. The immunoblot quantification showed angiotensinogen and antithrombin III significantly increased in SD-SPL whole plasma of early stage compared with DWS subjects. Even using this small number of samples, antithrombin III predicted SD-SPL before shock occurrence with accuracy.
conclusionProteins identified here may serve as candidate predictive markers to diagnose SD-SPL for timely clinical management. Since the number of subjects are small, so further studies are needed to confirm all these biomarkers.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.