Modeling the activation of the alternative complement pathway and its effects on hemolysis in health and disease

The complement system is a powerful mechanism of innate immunity poised to eliminate foreign cells and pathogens. It is an intricate network of >35 proteins, which, once activated, leads to the tagging of the surface to be eliminated, produces potent chemoattractants to recruit immune cells, and...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:PLoS computational biology 2020-10, Vol.16 (10), p.e1008139
Hauptverfasser: Caruso, Antonello, Vollmer, Jannik, Machacek, Matthias, Kortvely, Elod
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 10
container_start_page e1008139
container_title PLoS computational biology
container_volume 16
creator Caruso, Antonello
Vollmer, Jannik
Machacek, Matthias
Kortvely, Elod
description The complement system is a powerful mechanism of innate immunity poised to eliminate foreign cells and pathogens. It is an intricate network of >35 proteins, which, once activated, leads to the tagging of the surface to be eliminated, produces potent chemoattractants to recruit immune cells, and inserts cytotoxic pores into nearby lipid surfaces. Although it can be triggered via different pathways, its net output is largely based on the direct or indirect activation of the alternative pathway. Complement dysregulation or deficiencies may cause severe pathologies, such as paroxysmal nocturnal hemoglobinuria (PNH), where a lack of complement control proteins leads to hemolysis and life-threatening anemia. The complexity of the system poses a challenge for the interpretation of experimental data and the design of effective pharmacological therapies. To address this issue, we developed a mathematical model of the alternative complement pathway building on previous modelling efforts. The model links complement activation to the hemolytic activity of the terminal alternative pathway, providing an accurate description of pathway activity as observed in vitro and in vivo, in health and disease. Through adjustment of the parameters describing experimental conditions, the model was capable of reproducing the results of an array of standard assays used in complement research. To demonstrate its clinical applicability, we compared model predictions with clinical observations of the recovery of hematological biomarkers in PNH patients treated with the complement inhibiting anti-C5 antibody eculizumab. In conclusion, the model can enhance the understanding of complement biology and its role in disease pathogenesis, help identifying promising targets for pharmacological intervention, and predict the outcome of complement-targeting pharmacological interventions.
doi_str_mv 10.1371/journal.pcbi.1008139
format Article
fullrecord <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2460772942</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A645330919</galeid><doaj_id>oai_doaj_org_article_b7dd1bdece4f4d07a8661257628d9c8e</doaj_id><sourcerecordid>A645330919</sourcerecordid><originalsourceid>FETCH-LOGICAL-c661t-c3e917935c838037e403955ce836336adbada6b450f4f39c4b6b960e87007f873</originalsourceid><addsrcrecordid>eNqVkk1vEzEQhlcIRNvAP0CwEpdySLDj7wtSVfERqYDEx9ny2rOJo931snYK-fd4m23VoF6QD7bHz_uOZzRF8QKjBSYCv92G3dCZZtHbyi8wQhIT9ag4xYyRuSBMPr53PinOYtwilI-KPy1OCEGIK85Oi_5zcND4bl2mDZTGJn9tkg9dGepDpEmQ0-QwlDa0fQMtdKnsTdr8NvvSdK70KZZQ12DznoUbaEOzjz6Wfrxkg80N5nwEE-FZ8aQ2TYTn0z4rfn54_-Py0_zq68fV5cXV3HKO09wSUFgowqwkEhEBFBHFmAVJOCHcuMo4wyvKUE1roiyteKU4AikQErUUZFa8Ovj2TYh6albUS8qREEtFl5lYHQgXzFb3g2_NsNfBeH0TCMNamyF524CuhHO4cmCB1tQhYWT-5JIJvpROWQnZ692UbVe14Gzu0WCaI9Pjl85v9Dpca8EIHkuaFeeTwRB-7SAm3fpooWlMB2E3_ptKijgjMqOv_0Efrm6i1iYX4Ls65Lx2NNUXnLI8AQqrTC0eoPJy0HobOqh9jh8J3hwJMpPgT1qbXYx69f3bf7Bfjll6YO0QYhygvusdRnqc99si9Tjvepr3LHt5v-93otsBJ38BdQH78Q</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2460772942</pqid></control><display><type>article</type><title>Modeling the activation of the alternative complement pathway and its effects on hemolysis in health and disease</title><source>Public Library of Science (PLoS) Journals Open Access</source><source>Open Access: PubMed Central</source><source>MEDLINE</source><source>Directory of Open Access Journals</source><source>EZB Electronic Journals Library</source><creator>Caruso, Antonello ; Vollmer, Jannik ; Machacek, Matthias ; Kortvely, Elod</creator><contributor>Faeder, James R.</contributor><creatorcontrib>Caruso, Antonello ; Vollmer, Jannik ; Machacek, Matthias ; Kortvely, Elod ; Faeder, James R.</creatorcontrib><description>The complement system is a powerful mechanism of innate immunity poised to eliminate foreign cells and pathogens. It is an intricate network of &gt;35 proteins, which, once activated, leads to the tagging of the surface to be eliminated, produces potent chemoattractants to recruit immune cells, and inserts cytotoxic pores into nearby lipid surfaces. Although it can be triggered via different pathways, its net output is largely based on the direct or indirect activation of the alternative pathway. Complement dysregulation or deficiencies may cause severe pathologies, such as paroxysmal nocturnal hemoglobinuria (PNH), where a lack of complement control proteins leads to hemolysis and life-threatening anemia. The complexity of the system poses a challenge for the interpretation of experimental data and the design of effective pharmacological therapies. To address this issue, we developed a mathematical model of the alternative complement pathway building on previous modelling efforts. The model links complement activation to the hemolytic activity of the terminal alternative pathway, providing an accurate description of pathway activity as observed in vitro and in vivo, in health and disease. Through adjustment of the parameters describing experimental conditions, the model was capable of reproducing the results of an array of standard assays used in complement research. To demonstrate its clinical applicability, we compared model predictions with clinical observations of the recovery of hematological biomarkers in PNH patients treated with the complement inhibiting anti-C5 antibody eculizumab. In conclusion, the model can enhance the understanding of complement biology and its role in disease pathogenesis, help identifying promising targets for pharmacological intervention, and predict the outcome of complement-targeting pharmacological interventions.</description><identifier>ISSN: 1553-7358</identifier><identifier>ISSN: 1553-734X</identifier><identifier>EISSN: 1553-7358</identifier><identifier>DOI: 10.1371/journal.pcbi.1008139</identifier><identifier>PMID: 33006965</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Alternative pathway ; Analysis ; Anemia ; Antibodies ; Antibodies, Monoclonal, Humanized - pharmacology ; Antibodies, Monoclonal, Humanized - therapeutic use ; Biology and Life Sciences ; Biomarkers ; Chemotactic factors ; Clinical trials ; Complement ; Complement activation ; Complement Activation - drug effects ; Complement Activation - physiology ; Complement component C5 ; Complement control proteins ; Complement Inactivating Agents - pharmacology ; Complement Inactivating Agents - therapeutic use ; Complement Pathway, Alternative - drug effects ; Complement Pathway, Alternative - physiology ; Complement system ; Computational Biology ; Cytotoxicity ; Development and progression ; Health aspects ; Hematology ; Hemoglobin ; Hemoglobinuria, Paroxysmal - drug therapy ; Hemoglobinuria, Paroxysmal - physiopathology ; Hemolysis ; Hemolysis - drug effects ; Hemolysis - physiology ; Hemolysis and hemolysins ; Homeostasis ; Humans ; Immune system ; Innate immunity ; Inserts ; Kidney diseases ; Lipids ; Macular degeneration ; Mathematical models ; Medicine and Health Sciences ; Models, Immunological ; Paroxysmal nocturnal hemoglobinuria ; Pathogenesis ; Pathogens ; Pharmacology ; Proteins ; Research and Analysis Methods ; Software ; Tagging ; Ubiquitin-proteasome system</subject><ispartof>PLoS computational biology, 2020-10, Vol.16 (10), p.e1008139</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Caruso et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 Caruso et al 2020 Caruso et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c661t-c3e917935c838037e403955ce836336adbada6b450f4f39c4b6b960e87007f873</citedby><cites>FETCH-LOGICAL-c661t-c3e917935c838037e403955ce836336adbada6b450f4f39c4b6b960e87007f873</cites><orcidid>0000-0001-8341-7730 ; 0000-0001-5832-3636 ; 0000-0003-0541-2365 ; 0000-0003-1599-3116</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531836/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531836/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33006965$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Faeder, James R.</contributor><creatorcontrib>Caruso, Antonello</creatorcontrib><creatorcontrib>Vollmer, Jannik</creatorcontrib><creatorcontrib>Machacek, Matthias</creatorcontrib><creatorcontrib>Kortvely, Elod</creatorcontrib><title>Modeling the activation of the alternative complement pathway and its effects on hemolysis in health and disease</title><title>PLoS computational biology</title><addtitle>PLoS Comput Biol</addtitle><description>The complement system is a powerful mechanism of innate immunity poised to eliminate foreign cells and pathogens. It is an intricate network of &gt;35 proteins, which, once activated, leads to the tagging of the surface to be eliminated, produces potent chemoattractants to recruit immune cells, and inserts cytotoxic pores into nearby lipid surfaces. Although it can be triggered via different pathways, its net output is largely based on the direct or indirect activation of the alternative pathway. Complement dysregulation or deficiencies may cause severe pathologies, such as paroxysmal nocturnal hemoglobinuria (PNH), where a lack of complement control proteins leads to hemolysis and life-threatening anemia. The complexity of the system poses a challenge for the interpretation of experimental data and the design of effective pharmacological therapies. To address this issue, we developed a mathematical model of the alternative complement pathway building on previous modelling efforts. The model links complement activation to the hemolytic activity of the terminal alternative pathway, providing an accurate description of pathway activity as observed in vitro and in vivo, in health and disease. Through adjustment of the parameters describing experimental conditions, the model was capable of reproducing the results of an array of standard assays used in complement research. To demonstrate its clinical applicability, we compared model predictions with clinical observations of the recovery of hematological biomarkers in PNH patients treated with the complement inhibiting anti-C5 antibody eculizumab. In conclusion, the model can enhance the understanding of complement biology and its role in disease pathogenesis, help identifying promising targets for pharmacological intervention, and predict the outcome of complement-targeting pharmacological interventions.</description><subject>Alternative pathway</subject><subject>Analysis</subject><subject>Anemia</subject><subject>Antibodies</subject><subject>Antibodies, Monoclonal, Humanized - pharmacology</subject><subject>Antibodies, Monoclonal, Humanized - therapeutic use</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers</subject><subject>Chemotactic factors</subject><subject>Clinical trials</subject><subject>Complement</subject><subject>Complement activation</subject><subject>Complement Activation - drug effects</subject><subject>Complement Activation - physiology</subject><subject>Complement component C5</subject><subject>Complement control proteins</subject><subject>Complement Inactivating Agents - pharmacology</subject><subject>Complement Inactivating Agents - therapeutic use</subject><subject>Complement Pathway, Alternative - drug effects</subject><subject>Complement Pathway, Alternative - physiology</subject><subject>Complement system</subject><subject>Computational Biology</subject><subject>Cytotoxicity</subject><subject>Development and progression</subject><subject>Health aspects</subject><subject>Hematology</subject><subject>Hemoglobin</subject><subject>Hemoglobinuria, Paroxysmal - drug therapy</subject><subject>Hemoglobinuria, Paroxysmal - physiopathology</subject><subject>Hemolysis</subject><subject>Hemolysis - drug effects</subject><subject>Hemolysis - physiology</subject><subject>Hemolysis and hemolysins</subject><subject>Homeostasis</subject><subject>Humans</subject><subject>Immune system</subject><subject>Innate immunity</subject><subject>Inserts</subject><subject>Kidney diseases</subject><subject>Lipids</subject><subject>Macular degeneration</subject><subject>Mathematical models</subject><subject>Medicine and Health Sciences</subject><subject>Models, Immunological</subject><subject>Paroxysmal nocturnal hemoglobinuria</subject><subject>Pathogenesis</subject><subject>Pathogens</subject><subject>Pharmacology</subject><subject>Proteins</subject><subject>Research and Analysis Methods</subject><subject>Software</subject><subject>Tagging</subject><subject>Ubiquitin-proteasome system</subject><issn>1553-7358</issn><issn>1553-734X</issn><issn>1553-7358</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqVkk1vEzEQhlcIRNvAP0CwEpdySLDj7wtSVfERqYDEx9ny2rOJo931snYK-fd4m23VoF6QD7bHz_uOZzRF8QKjBSYCv92G3dCZZtHbyi8wQhIT9ag4xYyRuSBMPr53PinOYtwilI-KPy1OCEGIK85Oi_5zcND4bl2mDZTGJn9tkg9dGepDpEmQ0-QwlDa0fQMtdKnsTdr8NvvSdK70KZZQ12DznoUbaEOzjz6Wfrxkg80N5nwEE-FZ8aQ2TYTn0z4rfn54_-Py0_zq68fV5cXV3HKO09wSUFgowqwkEhEBFBHFmAVJOCHcuMo4wyvKUE1roiyteKU4AikQErUUZFa8Ovj2TYh6albUS8qREEtFl5lYHQgXzFb3g2_NsNfBeH0TCMNamyF524CuhHO4cmCB1tQhYWT-5JIJvpROWQnZ692UbVe14Gzu0WCaI9Pjl85v9Dpca8EIHkuaFeeTwRB-7SAm3fpooWlMB2E3_ptKijgjMqOv_0Efrm6i1iYX4Ls65Lx2NNUXnLI8AQqrTC0eoPJy0HobOqh9jh8J3hwJMpPgT1qbXYx69f3bf7Bfjll6YO0QYhygvusdRnqc99si9Tjvepr3LHt5v-93otsBJ38BdQH78Q</recordid><startdate>20201002</startdate><enddate>20201002</enddate><creator>Caruso, Antonello</creator><creator>Vollmer, Jannik</creator><creator>Machacek, Matthias</creator><creator>Kortvely, Elod</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ISN</scope><scope>ISR</scope><scope>3V.</scope><scope>7QO</scope><scope>7QP</scope><scope>7TK</scope><scope>7TM</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AL</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>K9.</scope><scope>LK8</scope><scope>M0N</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-8341-7730</orcidid><orcidid>https://orcid.org/0000-0001-5832-3636</orcidid><orcidid>https://orcid.org/0000-0003-0541-2365</orcidid><orcidid>https://orcid.org/0000-0003-1599-3116</orcidid></search><sort><creationdate>20201002</creationdate><title>Modeling the activation of the alternative complement pathway and its effects on hemolysis in health and disease</title><author>Caruso, Antonello ; Vollmer, Jannik ; Machacek, Matthias ; Kortvely, Elod</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c661t-c3e917935c838037e403955ce836336adbada6b450f4f39c4b6b960e87007f873</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Alternative pathway</topic><topic>Analysis</topic><topic>Anemia</topic><topic>Antibodies</topic><topic>Antibodies, Monoclonal, Humanized - pharmacology</topic><topic>Antibodies, Monoclonal, Humanized - therapeutic use</topic><topic>Biology and Life Sciences</topic><topic>Biomarkers</topic><topic>Chemotactic factors</topic><topic>Clinical trials</topic><topic>Complement</topic><topic>Complement activation</topic><topic>Complement Activation - drug effects</topic><topic>Complement Activation - physiology</topic><topic>Complement component C5</topic><topic>Complement control proteins</topic><topic>Complement Inactivating Agents - pharmacology</topic><topic>Complement Inactivating Agents - therapeutic use</topic><topic>Complement Pathway, Alternative - drug effects</topic><topic>Complement Pathway, Alternative - physiology</topic><topic>Complement system</topic><topic>Computational Biology</topic><topic>Cytotoxicity</topic><topic>Development and progression</topic><topic>Health aspects</topic><topic>Hematology</topic><topic>Hemoglobin</topic><topic>Hemoglobinuria, Paroxysmal - drug therapy</topic><topic>Hemoglobinuria, Paroxysmal - physiopathology</topic><topic>Hemolysis</topic><topic>Hemolysis - drug effects</topic><topic>Hemolysis - physiology</topic><topic>Hemolysis and hemolysins</topic><topic>Homeostasis</topic><topic>Humans</topic><topic>Immune system</topic><topic>Innate immunity</topic><topic>Inserts</topic><topic>Kidney diseases</topic><topic>Lipids</topic><topic>Macular degeneration</topic><topic>Mathematical models</topic><topic>Medicine and Health Sciences</topic><topic>Models, Immunological</topic><topic>Paroxysmal nocturnal hemoglobinuria</topic><topic>Pathogenesis</topic><topic>Pathogens</topic><topic>Pharmacology</topic><topic>Proteins</topic><topic>Research and Analysis Methods</topic><topic>Software</topic><topic>Tagging</topic><topic>Ubiquitin-proteasome system</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Caruso, Antonello</creatorcontrib><creatorcontrib>Vollmer, Jannik</creatorcontrib><creatorcontrib>Machacek, Matthias</creatorcontrib><creatorcontrib>Kortvely, Elod</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Canada</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Calcium &amp; Calcified Tissue Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Computing Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer science database</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Computing Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Biological Science Journals</collection><collection>ProQuest advanced technologies &amp; aerospace journals</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>PLoS computational biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Caruso, Antonello</au><au>Vollmer, Jannik</au><au>Machacek, Matthias</au><au>Kortvely, Elod</au><au>Faeder, James R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modeling the activation of the alternative complement pathway and its effects on hemolysis in health and disease</atitle><jtitle>PLoS computational biology</jtitle><addtitle>PLoS Comput Biol</addtitle><date>2020-10-02</date><risdate>2020</risdate><volume>16</volume><issue>10</issue><spage>e1008139</spage><pages>e1008139-</pages><issn>1553-7358</issn><issn>1553-734X</issn><eissn>1553-7358</eissn><abstract>The complement system is a powerful mechanism of innate immunity poised to eliminate foreign cells and pathogens. It is an intricate network of &gt;35 proteins, which, once activated, leads to the tagging of the surface to be eliminated, produces potent chemoattractants to recruit immune cells, and inserts cytotoxic pores into nearby lipid surfaces. Although it can be triggered via different pathways, its net output is largely based on the direct or indirect activation of the alternative pathway. Complement dysregulation or deficiencies may cause severe pathologies, such as paroxysmal nocturnal hemoglobinuria (PNH), where a lack of complement control proteins leads to hemolysis and life-threatening anemia. The complexity of the system poses a challenge for the interpretation of experimental data and the design of effective pharmacological therapies. To address this issue, we developed a mathematical model of the alternative complement pathway building on previous modelling efforts. The model links complement activation to the hemolytic activity of the terminal alternative pathway, providing an accurate description of pathway activity as observed in vitro and in vivo, in health and disease. Through adjustment of the parameters describing experimental conditions, the model was capable of reproducing the results of an array of standard assays used in complement research. To demonstrate its clinical applicability, we compared model predictions with clinical observations of the recovery of hematological biomarkers in PNH patients treated with the complement inhibiting anti-C5 antibody eculizumab. In conclusion, the model can enhance the understanding of complement biology and its role in disease pathogenesis, help identifying promising targets for pharmacological intervention, and predict the outcome of complement-targeting pharmacological interventions.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>33006965</pmid><doi>10.1371/journal.pcbi.1008139</doi><orcidid>https://orcid.org/0000-0001-8341-7730</orcidid><orcidid>https://orcid.org/0000-0001-5832-3636</orcidid><orcidid>https://orcid.org/0000-0003-0541-2365</orcidid><orcidid>https://orcid.org/0000-0003-1599-3116</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1553-7358
ispartof PLoS computational biology, 2020-10, Vol.16 (10), p.e1008139
issn 1553-7358
1553-734X
1553-7358
language eng
recordid cdi_plos_journals_2460772942
source Public Library of Science (PLoS) Journals Open Access; Open Access: PubMed Central; MEDLINE; Directory of Open Access Journals; EZB Electronic Journals Library
subjects Alternative pathway
Analysis
Anemia
Antibodies
Antibodies, Monoclonal, Humanized - pharmacology
Antibodies, Monoclonal, Humanized - therapeutic use
Biology and Life Sciences
Biomarkers
Chemotactic factors
Clinical trials
Complement
Complement activation
Complement Activation - drug effects
Complement Activation - physiology
Complement component C5
Complement control proteins
Complement Inactivating Agents - pharmacology
Complement Inactivating Agents - therapeutic use
Complement Pathway, Alternative - drug effects
Complement Pathway, Alternative - physiology
Complement system
Computational Biology
Cytotoxicity
Development and progression
Health aspects
Hematology
Hemoglobin
Hemoglobinuria, Paroxysmal - drug therapy
Hemoglobinuria, Paroxysmal - physiopathology
Hemolysis
Hemolysis - drug effects
Hemolysis - physiology
Hemolysis and hemolysins
Homeostasis
Humans
Immune system
Innate immunity
Inserts
Kidney diseases
Lipids
Macular degeneration
Mathematical models
Medicine and Health Sciences
Models, Immunological
Paroxysmal nocturnal hemoglobinuria
Pathogenesis
Pathogens
Pharmacology
Proteins
Research and Analysis Methods
Software
Tagging
Ubiquitin-proteasome system
title Modeling the activation of the alternative complement pathway and its effects on hemolysis in health and disease
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T10%3A10%3A12IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Modeling%20the%20activation%20of%20the%20alternative%20complement%20pathway%20and%20its%20effects%20on%20hemolysis%20in%20health%20and%20disease&rft.jtitle=PLoS%20computational%20biology&rft.au=Caruso,%20Antonello&rft.date=2020-10-02&rft.volume=16&rft.issue=10&rft.spage=e1008139&rft.pages=e1008139-&rft.issn=1553-7358&rft.eissn=1553-7358&rft_id=info:doi/10.1371/journal.pcbi.1008139&rft_dat=%3Cgale_plos_%3EA645330919%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2460772942&rft_id=info:pmid/33006965&rft_galeid=A645330919&rft_doaj_id=oai_doaj_org_article_b7dd1bdece4f4d07a8661257628d9c8e&rfr_iscdi=true