Proteomics analysis of peripheral blood monocytes from patients in early dengue infection reveals potential markers of subsequent fluid leakage
PERERA, N.; Kumar, A.; Gangadharan, B.; Ranasinghe, D.; Wijewickrama, A.; Malavige, G. N.; Miller, J. L.; Zitzmann, N.
10.1101/2024.03.21.24304389 medRxivShow abstract
Infections caused by dengue virus (DENV) cause significant morbidity and mortality worldwide. The majority of patients have a mild course of dengue fever (DF) disease, however a proportion of infected individuals develop much more severe dengue haemorrhagic fever (DHF) resulting in circulatory collapse and multiorgan failure due to increased vascular permeability. Early detection of individuals likely to develop severe disease could lead to improved outcomes for patients, and help use healthcare resources more efficiently. At present there are no reliable markers during the earlier stages of infection that indicate which patients will go on to develop DHF. Our study was aimed at identifying proteins that are differentially regulated early during disease in peripheral blood monocytes (PBMC) of patients who subsequently develop DHF. Such proteins may also point at cellular pathways implicated in developing vascular leakage. PBMC were isolated from patients with a confirmed dengue infection, lysed and subjected to tandem mass tag mass spectrometry. One hundred and sixty proteins were differentially expressed in DENV-infected samples compared to healthy controls. These were mainly involved in type I interferon signaling, cytokine response, phagocytosis, haemostasis and cell adhesion. PBMC from DHF patients differentially expressed 90 proteins compared to individuals with DF; these were involved in down-regulation of platelet activation and aggregation, cell adhesion and cytoskeleton arrangement pathways. Proteins involved in oxidative stress and p38 MAPK signaling were upregulated in DHF samples during early infection compared to DF samples. The proteins reported here that are differentially regulated in PBMC early during infection could potentially serve as biomarkers to identify patients at risk of developing DHF at an early disease stage. This study also provides important observations on pathways implicated in severe DENV infection.
Matching journals
The top 10 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Annexin A2 depletion exacerbates the intracerebral microhemorrhage induced by acute rickettsia and Ebola virus infections 95%
- Aedes aegypti SNAP and a calcium transporter ATPase influence dengue virus dissemination. 94%
- Tsetse salivary glycoproteins are modified with paucimannosidic N-glycans, are recognised by C-type lectins and bind to trypanosomes 93%
Similar papers in this journal
- Plasma proteome signature of canine acute haemorrhagic diarrhoea syndrome (AHDS) 95%
- A recombinant gp145 Env glycoprotein from HIV-1 expressed in two different cell lines: effects on glycosylation and antigenicity 94%
- Blocking IL-10 signaling with soluble IL-10 receptor restores specific lymphoproliferative response in dogs with leishmaniasis caused by Leishmania infantum 94%
Similar papers in this journal
- Persistence of SARS CoV-2 S1 Protein in CD16+ Monocytes in Post-Acute Sequelae of COVID-19 (PASC) Up to 15 Months Post-Infection 94%
- Upregulation of Activation Induced Cell Markers (AIM) among Severe COVID-19 patients in Bangladesh 93%
- Plasma gradient of soluble urokinase-type plasminogen activator receptor is linked to pathogenic plasma proteome and immune transcriptome and stratifies outcomes in severe COVID-19 93%
Similar papers in this journal
- Ivermectin reduces coronavirus infection in vivo: a mouse experimental model 94%
- N-glycosylation profiles of the SARS-CoV-2 spike D614G mutant and its ancestral protein characterized by advanced mass spectrometry 93%
- Virome-wide serological profiling reveals association of herpesviruses with obesity 93%
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.