Dataset Information

Multiplexed Quantitative Proteomics Provides Mechanistic Cues for Malaria Severity and Complexity

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.

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Plasma

SUBMITTER: Vipin Kumar

LAB HEAD: Sanjeeva Srivastava

PROVIDER: PXD014991 | Pride | 2020-11-06

REPOSITORIES: Pride

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			Action	DRS
	01032018_Fusion_Vipin_R7F1.raw	Raw
	01032018_Fusion_Vipin_R7F2.raw	Raw
	01032018_Fusion_Vipin_R7F3.raw	Raw
	01032018_Fusion_Vipin_R7F4.raw	Raw
	01032018_Fusion_Vipin_R7F5.raw	Raw

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Multiplexed quantitative proteomics provides mechanistic cues for malaria severity and complexity.

Kumar Vipin V Ray Sandipan S Aggarwal Shalini S Biswas Deeptarup D Jadhav Manali M Yadav Radha R Sabnis Sanjeev V SV Banerjee Soumaditya S Talukdar Arunansu A Kochar Sanjay K SK Shetty Suvin S Sehgal Kunal K Patankar Swati S Srivastava Sanjeeva S

Communications biology 20201117 1

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 metabolis ...[more]

PMID: 33204009

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