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Understanding Human Cerebral Malaria through a Blood Transcriptomic Signature: Evidences for Erythrocyte Alteration, Immune/Inflammatory Dysregulation, and Brain Dysfunction

Background. Cerebral malaria (CM), a reversible encephalopathy affecting young children, is a medical emergency requiring rapid clinical assessment and treatment. However, understanding of the genes/proteins and the biological pathways involved in the disease outcome is still limited. Methods. We ha...

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Published in:Mediators of inflammation 2020, Vol.2020 (2020), p.1-15
Main Authors: Marquet, Sandrine, Dessein, Alain, Chevillard, Christophe, Traore, Abdoulaye M., Oumar, Aboubacar A., Barry, Abdoulaye, Bergon, Aurélie, Poudiougou, Belco, Cabantous, Sandrine, Doumbo, Ogobara K.
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cited_by cdi_FETCH-LOGICAL-c638t-e8ee91fee033ed0ade4c2e214df40c6f24819a64b38c1c31eb93efbe59bf3ec43
cites cdi_FETCH-LOGICAL-c638t-e8ee91fee033ed0ade4c2e214df40c6f24819a64b38c1c31eb93efbe59bf3ec43
container_end_page 15
container_issue 2020
container_start_page 1
container_title Mediators of inflammation
container_volume 2020
creator Marquet, Sandrine
Dessein, Alain
Chevillard, Christophe
Traore, Abdoulaye M.
Oumar, Aboubacar A.
Barry, Abdoulaye
Bergon, Aurélie
Poudiougou, Belco
Cabantous, Sandrine
Doumbo, Ogobara K.
description Background. Cerebral malaria (CM), a reversible encephalopathy affecting young children, is a medical emergency requiring rapid clinical assessment and treatment. However, understanding of the genes/proteins and the biological pathways involved in the disease outcome is still limited. Methods. We have performed a whole transcriptomic analysis of blood samples from Malian children with CM or uncomplicated malaria (UM). Hierarchical clustering and pathway, network, and upstream regulator analyses were performed to explore differentially expressed genes (DEGs). We validated gene expression for 8 genes using real-time quantitative PCR (RT-qPCR). Plasma levels were measured for IP-10/CXCL10 and IL-18. Results. A blood RNA signature including 538 DEGs (∣FC∣≥2.0, adjusted P value ≤ 0.01) allowed to discriminate between CM and UM. Ingenuity Pathway Analysis (IPA) and Kyoto Encyclopedia of Genes and Genomes (KEGG) revealed novel genes and biological pathways related to immune/inflammatory responses, erythrocyte alteration, and neurodegenerative disorders. Gene expressions of CXCL10, IL12RB2, IL18BP, IL2RA, AXIN2, and NET were significantly lower in CM whereas ARG1 and SLC6A9 were higher in CM compared to UM. Plasma protein levels of IP-10/CXCL10 were significantly lower in CM than in UM while levels of IL-18 were higher. Interestingly, among children with CM, those who died from a complication of malaria tended to have higher concentrations of IP-10/CXCL10 and IFN-γ than those who recovered. Conclusions. This study identified some new factors and mechanisms that play crucial roles in CM and characterized their respective biological pathways as well as some upstream regulators.
doi_str_mv 10.1155/2020/3280689
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Cerebral malaria (CM), a reversible encephalopathy affecting young children, is a medical emergency requiring rapid clinical assessment and treatment. However, understanding of the genes/proteins and the biological pathways involved in the disease outcome is still limited. Methods. We have performed a whole transcriptomic analysis of blood samples from Malian children with CM or uncomplicated malaria (UM). Hierarchical clustering and pathway, network, and upstream regulator analyses were performed to explore differentially expressed genes (DEGs). We validated gene expression for 8 genes using real-time quantitative PCR (RT-qPCR). Plasma levels were measured for IP-10/CXCL10 and IL-18. Results. A blood RNA signature including 538 DEGs (∣FC∣≥2.0, adjusted P value ≤ 0.01) allowed to discriminate between CM and UM. Ingenuity Pathway Analysis (IPA) and Kyoto Encyclopedia of Genes and Genomes (KEGG) revealed novel genes and biological pathways related to immune/inflammatory responses, erythrocyte alteration, and neurodegenerative disorders. Gene expressions of CXCL10, IL12RB2, IL18BP, IL2RA, AXIN2, and NET were significantly lower in CM whereas ARG1 and SLC6A9 were higher in CM compared to UM. Plasma protein levels of IP-10/CXCL10 were significantly lower in CM than in UM while levels of IL-18 were higher. Interestingly, among children with CM, those who died from a complication of malaria tended to have higher concentrations of IP-10/CXCL10 and IFN-γ than those who recovered. Conclusions. This study identified some new factors and mechanisms that play crucial roles in CM and characterized their respective biological pathways as well as some upstream regulators.</description><identifier>ISSN: 0962-9351</identifier><identifier>EISSN: 1466-1861</identifier><identifier>DOI: 10.1155/2020/3280689</identifier><identifier>PMID: 32801995</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Biomarkers ; Blood ; Blood proteins ; Brain ; Brain - metabolism ; Chemokine CXCL10 - blood ; Children ; Coma ; Computational Biology - methods ; CXCL10 protein ; Datasets ; Disease ; Encephalopathy ; Erythrocytes - metabolism ; Ethics ; Fatalities ; Gene expression ; Genes ; Genomes ; Hospitals ; Human health and pathology ; Humans ; Inflammation ; Inflammation - blood ; Interleukin 1 ; Interleukin 18 ; Interleukin 2 receptors ; Interleukin-18 - blood ; IP-10 protein ; Life Sciences ; Malaria ; Malaria, Cerebral - genetics ; Malaria, Cerebral - metabolism ; Medical research ; Medicine, Experimental ; Nervous system diseases ; Neurodegenerative diseases ; Oligonucleotide Array Sequence Analysis ; Plasma levels ; Reverse Transcriptase Polymerase Chain Reaction ; Ribonucleic acid ; RNA ; Software ; Transcriptome - genetics ; Transcriptomics ; Values ; γ-Interferon</subject><ispartof>Mediators of inflammation, 2020, Vol.2020 (2020), p.1-15</ispartof><rights>Copyright © 2020 Sandrine Cabantous et al.</rights><rights>COPYRIGHT 2020 John Wiley &amp; Sons, Inc.</rights><rights>Copyright © 2020 Sandrine Cabantous et al. 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Cerebral malaria (CM), a reversible encephalopathy affecting young children, is a medical emergency requiring rapid clinical assessment and treatment. However, understanding of the genes/proteins and the biological pathways involved in the disease outcome is still limited. Methods. We have performed a whole transcriptomic analysis of blood samples from Malian children with CM or uncomplicated malaria (UM). Hierarchical clustering and pathway, network, and upstream regulator analyses were performed to explore differentially expressed genes (DEGs). We validated gene expression for 8 genes using real-time quantitative PCR (RT-qPCR). Plasma levels were measured for IP-10/CXCL10 and IL-18. Results. A blood RNA signature including 538 DEGs (∣FC∣≥2.0, adjusted P value ≤ 0.01) allowed to discriminate between CM and UM. Ingenuity Pathway Analysis (IPA) and Kyoto Encyclopedia of Genes and Genomes (KEGG) revealed novel genes and biological pathways related to immune/inflammatory responses, erythrocyte alteration, and neurodegenerative disorders. Gene expressions of CXCL10, IL12RB2, IL18BP, IL2RA, AXIN2, and NET were significantly lower in CM whereas ARG1 and SLC6A9 were higher in CM compared to UM. Plasma protein levels of IP-10/CXCL10 were significantly lower in CM than in UM while levels of IL-18 were higher. Interestingly, among children with CM, those who died from a complication of malaria tended to have higher concentrations of IP-10/CXCL10 and IFN-γ than those who recovered. Conclusions. This study identified some new factors and mechanisms that play crucial roles in CM and characterized their respective biological pathways as well as some upstream regulators.</description><subject>Biomarkers</subject><subject>Blood</subject><subject>Blood proteins</subject><subject>Brain</subject><subject>Brain - metabolism</subject><subject>Chemokine CXCL10 - blood</subject><subject>Children</subject><subject>Coma</subject><subject>Computational Biology - methods</subject><subject>CXCL10 protein</subject><subject>Datasets</subject><subject>Disease</subject><subject>Encephalopathy</subject><subject>Erythrocytes - metabolism</subject><subject>Ethics</subject><subject>Fatalities</subject><subject>Gene expression</subject><subject>Genes</subject><subject>Genomes</subject><subject>Hospitals</subject><subject>Human health and pathology</subject><subject>Humans</subject><subject>Inflammation</subject><subject>Inflammation - blood</subject><subject>Interleukin 1</subject><subject>Interleukin 18</subject><subject>Interleukin 2 receptors</subject><subject>Interleukin-18 - blood</subject><subject>IP-10 protein</subject><subject>Life Sciences</subject><subject>Malaria</subject><subject>Malaria, Cerebral - genetics</subject><subject>Malaria, Cerebral - metabolism</subject><subject>Medical research</subject><subject>Medicine, Experimental</subject><subject>Nervous system diseases</subject><subject>Neurodegenerative diseases</subject><subject>Oligonucleotide Array Sequence Analysis</subject><subject>Plasma levels</subject><subject>Reverse Transcriptase Polymerase Chain Reaction</subject><subject>Ribonucleic acid</subject><subject>RNA</subject><subject>Software</subject><subject>Transcriptome - genetics</subject><subject>Transcriptomics</subject><subject>Values</subject><subject>γ-Interferon</subject><issn>0962-9351</issn><issn>1466-1861</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNkk1v1DAQhiMEoqVw44wscQHR7fojdhwOSNtS6EpFHGjPluOMs64Se3GSov1R_EccdmnZigPywdLMM--Mx2-WvST4hBDO5xRTPGdUYiHLR9khyYWYESnI4-wQl4LOSsbJQfas728wxjzP5dPsYMJJWfLD7Oe1ryH2g_a18w26GDvt0RlEqKJu0Rfd6ug0GlYxjM0KaXTahlCjq6h9b6JbD6FzBn1zjdfDGOE9Or91NXgDPbIhovO4mUrNZgC0aAeIenDBH6Nl140e5ktvW911eghxgz5u-gjN2O6QNBA6jdr5KWFHb6bw8-yJ1W0PL3b3UXb96fzq7GJ2-fXz8mxxOTOCyWEGEqAkFgAzBjXWNeSGAiV5bXNshKW5JKUWecWkIYYRqEoGtgJeVpaBydlRttzq1kHfqHV0nY4bFbRTvwMhNkrHwZkWlKWcCEIrC0mQAejUQJJKU2txJesiaX3Yaq3HqoPagB_SavdE9zPerVQTblXBaMH5NMzbrcDqQdnF4lJNMUxlKalktySxb3bNYvg-Qj-ozvUG2lZ7CGOvaM7ygouC8IS-foDehDH6tNZEUYwFJUVxTzU6PdZ5G9KMZhJVC8EKTAual4k6-QeVTg3JH8GDdSm-V3C8LTAx9Onf7d3DCFaTrdVka7WzdcJf_b3DO_iPjxPwbrcj52v9w_2nHCQGrL6nSUkE5-wXrlgMXg</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Marquet, Sandrine</creator><creator>Dessein, Alain</creator><creator>Chevillard, Christophe</creator><creator>Traore, Abdoulaye M.</creator><creator>Oumar, Aboubacar A.</creator><creator>Barry, Abdoulaye</creator><creator>Bergon, Aurélie</creator><creator>Poudiougou, Belco</creator><creator>Cabantous, Sandrine</creator><creator>Doumbo, Ogobara K.</creator><general>Hindawi Publishing Corporation</general><general>Hindawi</general><general>John Wiley &amp; 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Cerebral malaria (CM), a reversible encephalopathy affecting young children, is a medical emergency requiring rapid clinical assessment and treatment. However, understanding of the genes/proteins and the biological pathways involved in the disease outcome is still limited. Methods. We have performed a whole transcriptomic analysis of blood samples from Malian children with CM or uncomplicated malaria (UM). Hierarchical clustering and pathway, network, and upstream regulator analyses were performed to explore differentially expressed genes (DEGs). We validated gene expression for 8 genes using real-time quantitative PCR (RT-qPCR). Plasma levels were measured for IP-10/CXCL10 and IL-18. Results. A blood RNA signature including 538 DEGs (∣FC∣≥2.0, adjusted P value ≤ 0.01) allowed to discriminate between CM and UM. Ingenuity Pathway Analysis (IPA) and Kyoto Encyclopedia of Genes and Genomes (KEGG) revealed novel genes and biological pathways related to immune/inflammatory responses, erythrocyte alteration, and neurodegenerative disorders. Gene expressions of CXCL10, IL12RB2, IL18BP, IL2RA, AXIN2, and NET were significantly lower in CM whereas ARG1 and SLC6A9 were higher in CM compared to UM. Plasma protein levels of IP-10/CXCL10 were significantly lower in CM than in UM while levels of IL-18 were higher. Interestingly, among children with CM, those who died from a complication of malaria tended to have higher concentrations of IP-10/CXCL10 and IFN-γ than those who recovered. Conclusions. This study identified some new factors and mechanisms that play crucial roles in CM and characterized their respective biological pathways as well as some upstream regulators.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><pmid>32801995</pmid><doi>10.1155/2020/3280689</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0001-7011-6496</orcidid><orcidid>https://orcid.org/0000-0002-5269-8813</orcidid><orcidid>https://orcid.org/0000-0003-1518-4562</orcidid><oa>free_for_read</oa></addata></record>
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ispartof Mediators of inflammation, 2020, Vol.2020 (2020), p.1-15
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language eng
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subjects Biomarkers
Blood
Blood proteins
Brain
Brain - metabolism
Chemokine CXCL10 - blood
Children
Coma
Computational Biology - methods
CXCL10 protein
Datasets
Disease
Encephalopathy
Erythrocytes - metabolism
Ethics
Fatalities
Gene expression
Genes
Genomes
Hospitals
Human health and pathology
Humans
Inflammation
Inflammation - blood
Interleukin 1
Interleukin 18
Interleukin 2 receptors
Interleukin-18 - blood
IP-10 protein
Life Sciences
Malaria
Malaria, Cerebral - genetics
Malaria, Cerebral - metabolism
Medical research
Medicine, Experimental
Nervous system diseases
Neurodegenerative diseases
Oligonucleotide Array Sequence Analysis
Plasma levels
Reverse Transcriptase Polymerase Chain Reaction
Ribonucleic acid
RNA
Software
Transcriptome - genetics
Transcriptomics
Values
γ-Interferon
title Understanding Human Cerebral Malaria through a Blood Transcriptomic Signature: Evidences for Erythrocyte Alteration, Immune/Inflammatory Dysregulation, and Brain Dysfunction
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