Plasma proteomics identifies early markers of endothelial and inflammatory activation associated with dengue disease severity in children
Shamorkina, T. M.; Kalaidopoulou Nteak, S.; Lay, S.; Kallor, A. A.; Ly, S.; Duong, V.; Heck, A. J. R.; Cantaert, T.; Snijder, J.
Show abstract
Dengue virus (DENV) is a major burden to global public health, affecting hundreds of millions annually. Children represent the major proportion of global dengue cases, ranging from asymptomatic or subclinical presentation to dengue fever (DF) and severe dengue hemorrhagic fever or shock syndrome (DHF/DSS). The factors that distinguish this range of disease severity are still poorly understood. To identify biomarkers of severity, we analyzed the plasma proteome of acute DENV infected children including both subclinical and hospitalized cases. Proteins associated with the acute-phase response, innate immune and lysosomal activation, and components of the coagulation cascade showed marked differences between hospitalized and subclinical cases during early infection. Longitudinal profiling demonstrated that endothelial dysfunction emerges early, with PTX3 showing the strongest and most rapid upregulation in hospitalized patients, supporting its potential role as a marker of imminent vascular involvement. When comparing severe (DHF/DSS) and classical DF hospitalized cases, CLEC11A displayed the highest fold change at hospital admittance. We used machine-learning analysis to predict disease severity at the acute phase of infection, distinguishing subclinical from hospitalized cases and patients that develop classical dengue fever or severe disease based on the identified complement regulators and inflammatory markers. The panel of identified plasma proteins shed light on the mechanisms of dengue related disease progression and may provide a handle to predict disease severity based on blood markers present during the acute phase of infection.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Distinct proteomic signatures in Ethiopians predict acute and long-term sequelae of COVID-19 94%
- Site- and Structure-Specific Characterization of Glycoproteins of H11: Potent Vaccine Candidates against Parasitic Worm Haemonchus 93%
- Occurrence of COVID-19 symptoms during SARS-CoV-2 infection defines waning of humoral immunity 93%
Similar papers in this journal
- Proximity-labeling reveals novel host and parasite proteins at the Toxoplasma parasitophorous vacuole membrane 92%
- Mapping a Toxoplasma gondii interactome by crosslinking mass spectrometry and machine learning 92%
- The glycoprotease CpaA secreted by medically relevant Acinetobacter species targets multiple O-linked host glycoproteins 92%
Similar papers in this journal
- Frequency of Dengue Virus-Specific T Cells is related to Infection Outcome in Endemic Settings 93%
- Disruption of innate defense responses by endoglycosidase HPSE promotes cell survival 92%
- Human angiotensin-converting enzyme 2 transgenic mice infected with SARS-CoV-2 develop severe and fatal respiratory disease 91%
Similar papers in this journal
- Pre-vaccination Frequency of Circulatory Tfh is associated with Robust Immune Response to TV003 Dengue Vaccine 95%
- DENV-specific IgA contributes protective and non-pathologic function during antibody-dependent enhancement of DENV infection 94%
- Temporally integrated single cell RNA sequencing analysis of controlled and natural primary human DENV-1 infections 94%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.