Loading…

A discrete mathematical model for the aggregation of β-Amyloid

Dementia associated with the Alzheimer's disease is thought to be correlated with the conversion of the β - Amyloid (Aβ) peptides from soluble monomers to aggregated oligomers and insoluble fibrils. We present a discrete-time mathematical model for the aggregation of Aβ monomers into oligomers...

Full description

Saved in:
Bibliographic Details
Published in:PloS one 2018-05, Vol.13 (5), p.e0196402-e0196402
Main Authors: Dayeh, Maher A, Livadiotis, George, Elaydi, Saber
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c526t-8838acfa537770b6fd0ffa6eab2cc7b0c098751b0714465f5ee0e5af134c5b733
cites cdi_FETCH-LOGICAL-c526t-8838acfa537770b6fd0ffa6eab2cc7b0c098751b0714465f5ee0e5af134c5b733
container_end_page e0196402
container_issue 5
container_start_page e0196402
container_title PloS one
container_volume 13
creator Dayeh, Maher A
Livadiotis, George
Elaydi, Saber
description Dementia associated with the Alzheimer's disease is thought to be correlated with the conversion of the β - Amyloid (Aβ) peptides from soluble monomers to aggregated oligomers and insoluble fibrils. We present a discrete-time mathematical model for the aggregation of Aβ monomers into oligomers using concepts from chemical kinetics and population dynamics. Conditions for the stability and instability of the equilibria of the model are established. A formula for the number of monomers that is required for producing oligomers is also given. This may provide compound designers a mechanism to inhibit the Aβ aggregation.
doi_str_mv 10.1371/journal.pone.0196402
format article
fullrecord <record><control><sourceid>proquest_plos_</sourceid><recordid>TN_cdi_plos_journals_2043148009</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_742df07ab45d4439a559f07f644d8daa</doaj_id><sourcerecordid>2043716247</sourcerecordid><originalsourceid>FETCH-LOGICAL-c526t-8838acfa537770b6fd0ffa6eab2cc7b0c098751b0714465f5ee0e5af134c5b733</originalsourceid><addsrcrecordid>eNptUstu1DAUjRCIlsIfIIjUDZtM_Xa8AY0qWipV6gbW1o0faUZOPNgZpP5WP4RvwsOkVYvY-HHvOcf3WKeq3mO0wlTis03cpQnCahsnt0JYCYbIi-oYK0oaQRB9-eR8VL3JeYMQp60Qr6sjoqTCTODj6su6tkM2yc2uHmG-dWUZDIR6jNaF2sdUl2INfZ9cX1pxqqOvf9836_EuxMG-rV55CNm9W_aT6sfF1-_n35rrm8ur8_V1YzgRc9O2tAXjgVMpJeqEt8h7EA46YozskEGqlRx3SGLGBPfcOeQ4eEyZ4Z2k9KT6eNDdhpj14j1rghjFrEVIFcTVAWEjbPQ2DSOkOx1h0H8LMfUaUvEWnJaMWI8kdIxbxqgCzlW5e8GYbS1A0fq8vLbrRmeNm-YE4Zno88403Oo-_tJcCd6S_TCfFoEUf-5cnvVYftmFAJOLu8PcEgvCZIGe_gP9vzt2QJkUc07OPw6Dkd7n4YGl93nQSx4K7cNTI4-khwDQP2fUs6g</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2043148009</pqid></control><display><type>article</type><title>A discrete mathematical model for the aggregation of β-Amyloid</title><source>PubMed Central (Open Access)</source><source>Publicly Available Content (ProQuest)</source><creator>Dayeh, Maher A ; Livadiotis, George ; Elaydi, Saber</creator><contributor>Kobeissy, Firas H.</contributor><creatorcontrib>Dayeh, Maher A ; Livadiotis, George ; Elaydi, Saber ; Kobeissy, Firas H.</creatorcontrib><description>Dementia associated with the Alzheimer's disease is thought to be correlated with the conversion of the β - Amyloid (Aβ) peptides from soluble monomers to aggregated oligomers and insoluble fibrils. We present a discrete-time mathematical model for the aggregation of Aβ monomers into oligomers using concepts from chemical kinetics and population dynamics. Conditions for the stability and instability of the equilibria of the model are established. A formula for the number of monomers that is required for producing oligomers is also given. This may provide compound designers a mechanism to inhibit the Aβ aggregation.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0196402</identifier><identifier>PMID: 29791461</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Agglomeration ; Alzheimer's disease ; Biology and Life Sciences ; Brain research ; Chemical kinetics ; Dementia disorders ; Dynamic stability ; Experiments ; Fibrils ; Hypotheses ; Kinetics ; Mathematical analysis ; Mathematical models ; Medicine and Health Sciences ; Microscopy ; Monomers ; Neurodegenerative diseases ; Oligomers ; Peptides ; Physical Sciences ; Proteins ; Reaction kinetics ; Research and Analysis Methods ; β-Amyloid</subject><ispartof>PloS one, 2018-05, Vol.13 (5), p.e0196402-e0196402</ispartof><rights>2018 Dayeh 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>2018 Dayeh et al 2018 Dayeh et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c526t-8838acfa537770b6fd0ffa6eab2cc7b0c098751b0714465f5ee0e5af134c5b733</citedby><cites>FETCH-LOGICAL-c526t-8838acfa537770b6fd0ffa6eab2cc7b0c098751b0714465f5ee0e5af134c5b733</cites><orcidid>0000-0001-9323-1200</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2043148009/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2043148009?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29791461$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Kobeissy, Firas H.</contributor><creatorcontrib>Dayeh, Maher A</creatorcontrib><creatorcontrib>Livadiotis, George</creatorcontrib><creatorcontrib>Elaydi, Saber</creatorcontrib><title>A discrete mathematical model for the aggregation of β-Amyloid</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Dementia associated with the Alzheimer's disease is thought to be correlated with the conversion of the β - Amyloid (Aβ) peptides from soluble monomers to aggregated oligomers and insoluble fibrils. We present a discrete-time mathematical model for the aggregation of Aβ monomers into oligomers using concepts from chemical kinetics and population dynamics. Conditions for the stability and instability of the equilibria of the model are established. A formula for the number of monomers that is required for producing oligomers is also given. This may provide compound designers a mechanism to inhibit the Aβ aggregation.</description><subject>Agglomeration</subject><subject>Alzheimer's disease</subject><subject>Biology and Life Sciences</subject><subject>Brain research</subject><subject>Chemical kinetics</subject><subject>Dementia disorders</subject><subject>Dynamic stability</subject><subject>Experiments</subject><subject>Fibrils</subject><subject>Hypotheses</subject><subject>Kinetics</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Medicine and Health Sciences</subject><subject>Microscopy</subject><subject>Monomers</subject><subject>Neurodegenerative diseases</subject><subject>Oligomers</subject><subject>Peptides</subject><subject>Physical Sciences</subject><subject>Proteins</subject><subject>Reaction kinetics</subject><subject>Research and Analysis Methods</subject><subject>β-Amyloid</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptUstu1DAUjRCIlsIfIIjUDZtM_Xa8AY0qWipV6gbW1o0faUZOPNgZpP5WP4RvwsOkVYvY-HHvOcf3WKeq3mO0wlTis03cpQnCahsnt0JYCYbIi-oYK0oaQRB9-eR8VL3JeYMQp60Qr6sjoqTCTODj6su6tkM2yc2uHmG-dWUZDIR6jNaF2sdUl2INfZ9cX1pxqqOvf9836_EuxMG-rV55CNm9W_aT6sfF1-_n35rrm8ur8_V1YzgRc9O2tAXjgVMpJeqEt8h7EA46YozskEGqlRx3SGLGBPfcOeQ4eEyZ4Z2k9KT6eNDdhpj14j1rghjFrEVIFcTVAWEjbPQ2DSOkOx1h0H8LMfUaUvEWnJaMWI8kdIxbxqgCzlW5e8GYbS1A0fq8vLbrRmeNm-YE4Zno88403Oo-_tJcCd6S_TCfFoEUf-5cnvVYftmFAJOLu8PcEgvCZIGe_gP9vzt2QJkUc07OPw6Dkd7n4YGl93nQSx4K7cNTI4-khwDQP2fUs6g</recordid><startdate>20180523</startdate><enddate>20180523</enddate><creator>Dayeh, Maher A</creator><creator>Livadiotis, George</creator><creator>Elaydi, Saber</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-9323-1200</orcidid></search><sort><creationdate>20180523</creationdate><title>A discrete mathematical model for the aggregation of β-Amyloid</title><author>Dayeh, Maher A ; Livadiotis, George ; Elaydi, Saber</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c526t-8838acfa537770b6fd0ffa6eab2cc7b0c098751b0714465f5ee0e5af134c5b733</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Agglomeration</topic><topic>Alzheimer's disease</topic><topic>Biology and Life Sciences</topic><topic>Brain research</topic><topic>Chemical kinetics</topic><topic>Dementia disorders</topic><topic>Dynamic stability</topic><topic>Experiments</topic><topic>Fibrils</topic><topic>Hypotheses</topic><topic>Kinetics</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>Medicine and Health Sciences</topic><topic>Microscopy</topic><topic>Monomers</topic><topic>Neurodegenerative diseases</topic><topic>Oligomers</topic><topic>Peptides</topic><topic>Physical Sciences</topic><topic>Proteins</topic><topic>Reaction kinetics</topic><topic>Research and Analysis Methods</topic><topic>β-Amyloid</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dayeh, Maher A</creatorcontrib><creatorcontrib>Livadiotis, George</creatorcontrib><creatorcontrib>Elaydi, Saber</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Proquest Nursing &amp; Allied Health Source</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest Public Health Database</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>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies &amp; Aerospace Database‎ (1962 - current)</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central</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>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agriculture Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>ProQuest Biological Science Journals</collection><collection>Engineering Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>ProQuest advanced technologies &amp; aerospace journals</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials science collection</collection><collection>Publicly Available Content (ProQuest)</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>Engineering collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals (Open Access)</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dayeh, Maher A</au><au>Livadiotis, George</au><au>Elaydi, Saber</au><au>Kobeissy, Firas H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A discrete mathematical model for the aggregation of β-Amyloid</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2018-05-23</date><risdate>2018</risdate><volume>13</volume><issue>5</issue><spage>e0196402</spage><epage>e0196402</epage><pages>e0196402-e0196402</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Dementia associated with the Alzheimer's disease is thought to be correlated with the conversion of the β - Amyloid (Aβ) peptides from soluble monomers to aggregated oligomers and insoluble fibrils. We present a discrete-time mathematical model for the aggregation of Aβ monomers into oligomers using concepts from chemical kinetics and population dynamics. Conditions for the stability and instability of the equilibria of the model are established. A formula for the number of monomers that is required for producing oligomers is also given. This may provide compound designers a mechanism to inhibit the Aβ aggregation.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>29791461</pmid><doi>10.1371/journal.pone.0196402</doi><orcidid>https://orcid.org/0000-0001-9323-1200</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1932-6203
ispartof PloS one, 2018-05, Vol.13 (5), p.e0196402-e0196402
issn 1932-6203
1932-6203
language eng
recordid cdi_plos_journals_2043148009
source PubMed Central (Open Access); Publicly Available Content (ProQuest)
subjects Agglomeration
Alzheimer's disease
Biology and Life Sciences
Brain research
Chemical kinetics
Dementia disorders
Dynamic stability
Experiments
Fibrils
Hypotheses
Kinetics
Mathematical analysis
Mathematical models
Medicine and Health Sciences
Microscopy
Monomers
Neurodegenerative diseases
Oligomers
Peptides
Physical Sciences
Proteins
Reaction kinetics
Research and Analysis Methods
β-Amyloid
title A discrete mathematical model for the aggregation of β-Amyloid
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T17%3A04%3A20IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20discrete%20mathematical%20model%20for%20the%20aggregation%20of%20%CE%B2-Amyloid&rft.jtitle=PloS%20one&rft.au=Dayeh,%20Maher%20A&rft.date=2018-05-23&rft.volume=13&rft.issue=5&rft.spage=e0196402&rft.epage=e0196402&rft.pages=e0196402-e0196402&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0196402&rft_dat=%3Cproquest_plos_%3E2043716247%3C/proquest_plos_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c526t-8838acfa537770b6fd0ffa6eab2cc7b0c098751b0714465f5ee0e5af134c5b733%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2043148009&rft_id=info:pmid/29791461&rfr_iscdi=true