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Multiplexed quantitative proteomics provides mechanistic cues for malaria severity and complexity

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 pati...

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Autores principales: Kumar, Vipin, Ray, Sandipan, Aggarwal, Shalini, Biswas, Deeptarup, Jadhav, Manali, Yadav, Radha, Sabnis, Sanjeev V., Banerjee, Soumaditya, Talukdar, Arunansu, Kochar, Sanjay K., Shetty, Suvin, Sehgal, Kunal, Patankar, Swati, Srivastava, Sanjeeva
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7672109/
https://www.ncbi.nlm.nih.gov/pubmed/33204009
http://dx.doi.org/10.1038/s42003-020-01384-4
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author Kumar, Vipin
Ray, Sandipan
Aggarwal, Shalini
Biswas, Deeptarup
Jadhav, Manali
Yadav, Radha
Sabnis, Sanjeev V.
Banerjee, Soumaditya
Talukdar, Arunansu
Kochar, Sanjay K.
Shetty, Suvin
Sehgal, Kunal
Patankar, Swati
Srivastava, Sanjeeva
author_facet Kumar, Vipin
Ray, Sandipan
Aggarwal, Shalini
Biswas, Deeptarup
Jadhav, Manali
Yadav, Radha
Sabnis, Sanjeev V.
Banerjee, Soumaditya
Talukdar, Arunansu
Kochar, Sanjay K.
Shetty, Suvin
Sehgal, Kunal
Patankar, Swati
Srivastava, Sanjeeva
author_sort Kumar, Vipin
collection PubMed
description 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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spelling pubmed-76721092020-11-20 Multiplexed quantitative proteomics provides mechanistic cues for malaria severity and complexity Kumar, Vipin Ray, Sandipan Aggarwal, Shalini Biswas, Deeptarup Jadhav, Manali Yadav, Radha Sabnis, Sanjeev V. Banerjee, Soumaditya Talukdar, Arunansu Kochar, Sanjay K. Shetty, Suvin Sehgal, Kunal Patankar, Swati Srivastava, Sanjeeva Commun Biol Article 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. Nature Publishing Group UK 2020-11-17 /pmc/articles/PMC7672109/ /pubmed/33204009 http://dx.doi.org/10.1038/s42003-020-01384-4 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Kumar, Vipin
Ray, Sandipan
Aggarwal, Shalini
Biswas, Deeptarup
Jadhav, Manali
Yadav, Radha
Sabnis, Sanjeev V.
Banerjee, Soumaditya
Talukdar, Arunansu
Kochar, Sanjay K.
Shetty, Suvin
Sehgal, Kunal
Patankar, Swati
Srivastava, Sanjeeva
Multiplexed quantitative proteomics provides mechanistic cues for malaria severity and complexity
title Multiplexed quantitative proteomics provides mechanistic cues for malaria severity and complexity
title_full Multiplexed quantitative proteomics provides mechanistic cues for malaria severity and complexity
title_fullStr Multiplexed quantitative proteomics provides mechanistic cues for malaria severity and complexity
title_full_unstemmed Multiplexed quantitative proteomics provides mechanistic cues for malaria severity and complexity
title_short Multiplexed quantitative proteomics provides mechanistic cues for malaria severity and complexity
title_sort multiplexed quantitative proteomics provides mechanistic cues for malaria severity and complexity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7672109/
https://www.ncbi.nlm.nih.gov/pubmed/33204009
http://dx.doi.org/10.1038/s42003-020-01384-4
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