Skip to content
Open access · CC-BY via OpenAlex

Multiplexed quantitative proteomics provides mechanistic cues for malaria severity and complexity

Vipin Kumar, Sandipan Ray, Shalini Aggarwal, Deeptarup Biswas, Manali Jadhav, Radha Yadav, Sanjeev Sabnis, Soumaditya Banerjee, Arunansu Talukdar, Sanjay Kumar Kochar, Suvin Shetty, Kunal Sehgal, Swati Patankar, Sanjeeva Srivastava

Communications Biology · 2020 · ▲ 25 citations

Abstract

Management of severe malaria remains a critical global challenge. In this study, using a multiplexed quantitative proteomics pipeline we systematically investigated the plasma proteome alterations in non-severe and severe malaria patients. We identified a few parasite proteins in severe malaria patients, which could be promising from a diagnostic perspective. Further, from host proteome analysis we observed substantial modulations in many crucial physiological pathways, including lipid metabolism, cytokine signaling, complement, and coagulation cascades in severe malaria. We propose that severe manifestations of malaria are possibly underpinned by modulations of the host physiology and defense machinery, which is evidently reflected in the plasma proteome alterations. Importantly, we identified multiple blood markers that can effectively define different complications of severe falciparum malaria, including cerebral syndromes and severe anemia. The ability of our identified blood markers to distinguish different severe complications of malaria may aid in developing new clinical tests for monitoring malaria severity.

◌ CITATION ONLY
Full text is not openly licensed for redistribution here. Read it at the source:

Read at source →

Provenance

Source
OpenAlex
DOI
10.1038/s42003-020-01384-4
Canonical
link ↗
Fetched
2026-07-25 MST

Cite this

APA
Kumar, V., Ray, S., Aggarwal, S., Biswas, D., Jadhav, M., Yadav, R., Sabnis, S., Banerjee, S., Talukdar, A., Kochar, S.K., Shetty, S., Sehgal, K., Patankar, S., &amp; Srivastava, S. (2020). Multiplexed quantitative proteomics provides mechanistic cues for malaria severity and complexity. <em>Communications Biology</em>. https://doi.org/10.1038/s42003-020-01384-4
Vancouver
Kumar V, Ray S, Aggarwal S, Biswas D, Jadhav M, Yadav R, et al. Multiplexed quantitative proteomics provides mechanistic cues for malaria severity and complexity. Communications Biology. 2020. doi:10.1038/s42003-020-01384-4.
BibTeX
@article{vipin2020Multip, title = {Multiplexed quantitative proteomics provides mechanistic cues for malaria severity and complexity}, author = {Vipin Kumar and Sandipan Ray and Shalini Aggarwal and Deeptarup Biswas and Manali Jadhav and Radha Yadav and Sanjeev Sabnis and Soumaditya Banerjee and Arunansu Talukdar and Sanjay Kumar Kochar and Suvin Shetty and Kunal Sehgal and Swati Patankar and Sanjeeva Srivastava}, journal = {Communications Biology}, year = {2020}, doi = {10.1038/s42003-020-01384-4}, }

Research neighborhood

References, citing works, and semantically nearest findings. Click a node to open it.

Related findings