Multiplexed quantitative proteomics provides mechanistic cues for malaria severity and complexity

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作者
Vipin Kumar
Sandipan Ray
Shalini Aggarwal
Deeptarup Biswas
Manali Jadhav
Radha Yadav
Sanjeev V. Sabnis
Soumaditya Banerjee
Arunansu Talukdar
Sanjay K. Kochar
Suvin Shetty
Kunal Sehgal
Swati Patankar
Sanjeeva Srivastava
机构
[1] Indian Institute of Technology Bombay,Department of Biosciences and Bioengineering
[2] Indian Institute of Technology Bombay,Department of Mathematics
[3] Medical College Hospital Kolkata,Medicine Department
[4] S.P. Medical College,Department of Medicine, Malaria Research Centre
[5] Dr. L H Hiranandani Hospital,Department of Systems Pharmacology and Translational Therapeutics
[6] Sehgal Path Lab,undefined
[7] University of Pennsylvania,undefined
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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.
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