The Influence of the Different Disposition Characteristics of Snake Toxins on the Pharmacokinetics of Snake Venom

Snake venom is comprised of a combination of different proteins and peptides with a wide range of molecular weights and different disposition processes inherent to each compound. This causes venom to have a complex exposure profile. Our study investigates 1) how each molecular weight fraction (toxin...

Full description

Saved in:
Bibliographic Details
Published in:Toxins 2020-03, Vol.12 (3), p.188
Main Authors: Sanhajariya, Suchaya, Isbister, Geoffrey K, Duffull, Stephen B
Format: Article
Language:English
Subjects:
Animals
Atomic properties
Computer Simulation
Datasets as Topic
Dose-Response Relationship, Drug
Half-Life
Humans
Models, Biological
Molecular Weight
Peptides
Pharmacokinetics
Pharmacological research
Pharmacology
Physiological aspects
Proteins
Snake Bites - metabolism
Snake Venoms - chemistry
Snake Venoms - pharmacokinetics
Snakes
stochastic simulation and estimation
Studies
Tissue Distribution
Toxins
Venom
Venoms
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-c512t-5699ee2163e630d0bd2946cfdd415d182fcb1b052ba47ea876ca7ce572f2d8403
cites cdi_FETCH-LOGICAL-c512t-5699ee2163e630d0bd2946cfdd415d182fcb1b052ba47ea876ca7ce572f2d8403
container_end_page
container_issue 3
container_start_page 188
container_title Toxins
container_volume 12
creator Sanhajariya, Suchaya
Isbister, Geoffrey K
Duffull, Stephen B
description Snake venom is comprised of a combination of different proteins and peptides with a wide range of molecular weights and different disposition processes inherent to each compound. This causes venom to have a complex exposure profile. Our study investigates 1) how each molecular weight fraction (toxin) of venom contributes to the overall time course of the snake venom, and 2) the ability to determine toxin profiles based on the profile of the overall venom only. We undertook an simulation and modelling study. Sixteen variations of venom, comprising of two to nine toxins with different molecular weights were investigated. The pharmacokinetic parameters (i.e., clearance,, and volume of distribution,) of each toxin were generated based on a log-linear relationship with molecular weight. The concentration-time data of each toxin were simulated for 100 virtual patients using MATLAB and the total concentration-time data of each toxin were modelled using NONMEM. We found that the data of sixteen mixtures were best described by either two- or three-compartment models, despite the venom being made up of more than three different toxins. This suggests that it is generally not possible to determine individual toxin profiles based on measurements of total venom concentrations only.
doi_str_mv 10.3390/toxins12030188
format article
fullrecord <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_7e9f65b136e84471a5b71aafd07aca13</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A629402300</galeid><doaj_id>oai_doaj_org_article_7e9f65b136e84471a5b71aafd07aca13</doaj_id><sourcerecordid>A629402300</sourcerecordid><originalsourceid>FETCH-LOGICAL-c512t-5699ee2163e630d0bd2946cfdd415d182fcb1b052ba47ea876ca7ce572f2d8403</originalsourceid><addsrcrecordid>eNpVkk1vEzEQhi0EolXplSNaiXOKP9b2-oJUhVIiVQKJwNXy2uPEadZO7Q2Cf19vU6rEh_Fo_Myrd6xB6D3BV4wp_GlMf0MshGKGSde9QucUSzoTgpPXR_kZuixlg-thjCgi36IzRiuPJT9HD8s1NIvot3uIFprkm7EWvgTvIUMca1Z2qYQxpNjM1yYbO0IOZQy2TPDPaO6hWT75aCoyNf-o2GBsug8RTrnfENPwDr3xZlvg8vm-QL--3izn32Z3328X8-u7meWEjjMulAKgRDAQDDvcO6paYb1zLeGOdNTbnvSY0960EkwnhTXSApfUU9e1mF2gxUHXJbPRuxwGk__pZIJ-KqS80iZXf1vQEpQXvCdMQNe2khje12C8w9JYQ1jV-nzQ2u37AZytP5PN9kT09CWGtV6lP1oSjhWeBD4-C-T0sIcy6k3a51jn15RJpTrV8SNqZaqrEH2qYnYIxeprUcfHlOFpsKsDZXMqJYN_8UGwnvZCn-5Fbfhw7P4F_78F7BHcHbUd</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2379989853</pqid></control><display><type>article</type><title>The Influence of the Different Disposition Characteristics of Snake Toxins on the Pharmacokinetics of Snake Venom</title><source>Publicly Available Content Database</source><source>PubMed Central</source><creator>Sanhajariya, Suchaya ; Isbister, Geoffrey K ; Duffull, Stephen B</creator><creatorcontrib>Sanhajariya, Suchaya ; Isbister, Geoffrey K ; Duffull, Stephen B</creatorcontrib><description>Snake venom is comprised of a combination of different proteins and peptides with a wide range of molecular weights and different disposition processes inherent to each compound. This causes venom to have a complex exposure profile. Our study investigates 1) how each molecular weight fraction (toxin) of venom contributes to the overall time course of the snake venom, and 2) the ability to determine toxin profiles based on the profile of the overall venom only. We undertook an simulation and modelling study. Sixteen variations of venom, comprising of two to nine toxins with different molecular weights were investigated. The pharmacokinetic parameters (i.e., clearance,, and volume of distribution,) of each toxin were generated based on a log-linear relationship with molecular weight. The concentration-time data of each toxin were simulated for 100 virtual patients using MATLAB and the total concentration-time data of each toxin were modelled using NONMEM. We found that the data of sixteen mixtures were best described by either two- or three-compartment models, despite the venom being made up of more than three different toxins. This suggests that it is generally not possible to determine individual toxin profiles based on measurements of total venom concentrations only.</description><identifier>ISSN: 2072-6651</identifier><identifier>EISSN: 2072-6651</identifier><identifier>DOI: 10.3390/toxins12030188</identifier><identifier>PMID: 32188075</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Animals ; Atomic properties ; Computer Simulation ; Datasets as Topic ; Dose-Response Relationship, Drug ; Half-Life ; Humans ; Models, Biological ; Molecular Weight ; Peptides ; Pharmacokinetics ; Pharmacological research ; Pharmacology ; Physiological aspects ; Proteins ; Snake Bites - metabolism ; Snake Venoms - chemistry ; Snake Venoms - pharmacokinetics ; Snakes ; stochastic simulation and estimation ; Studies ; Tissue Distribution ; Toxins ; Venom ; Venoms</subject><ispartof>Toxins, 2020-03, Vol.12 (3), p.188</ispartof><rights>COPYRIGHT 2020 MDPI AG</rights><rights>2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 by the authors. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c512t-5699ee2163e630d0bd2946cfdd415d182fcb1b052ba47ea876ca7ce572f2d8403</citedby><cites>FETCH-LOGICAL-c512t-5699ee2163e630d0bd2946cfdd415d182fcb1b052ba47ea876ca7ce572f2d8403</cites><orcidid>0000-0002-7987-6296 ; 0000-0003-1519-7419</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2379989853/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2379989853?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,44590,53791,53793,74998</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32188075$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sanhajariya, Suchaya</creatorcontrib><creatorcontrib>Isbister, Geoffrey K</creatorcontrib><creatorcontrib>Duffull, Stephen B</creatorcontrib><title>The Influence of the Different Disposition Characteristics of Snake Toxins on the Pharmacokinetics of Snake Venom</title><title>Toxins</title><addtitle>Toxins (Basel)</addtitle><description>Snake venom is comprised of a combination of different proteins and peptides with a wide range of molecular weights and different disposition processes inherent to each compound. This causes venom to have a complex exposure profile. Our study investigates 1) how each molecular weight fraction (toxin) of venom contributes to the overall time course of the snake venom, and 2) the ability to determine toxin profiles based on the profile of the overall venom only. We undertook an simulation and modelling study. Sixteen variations of venom, comprising of two to nine toxins with different molecular weights were investigated. The pharmacokinetic parameters (i.e., clearance,, and volume of distribution,) of each toxin were generated based on a log-linear relationship with molecular weight. The concentration-time data of each toxin were simulated for 100 virtual patients using MATLAB and the total concentration-time data of each toxin were modelled using NONMEM. We found that the data of sixteen mixtures were best described by either two- or three-compartment models, despite the venom being made up of more than three different toxins. This suggests that it is generally not possible to determine individual toxin profiles based on measurements of total venom concentrations only.</description><subject>Animals</subject><subject>Atomic properties</subject><subject>Computer Simulation</subject><subject>Datasets as Topic</subject><subject>Dose-Response Relationship, Drug</subject><subject>Half-Life</subject><subject>Humans</subject><subject>Models, Biological</subject><subject>Molecular Weight</subject><subject>Peptides</subject><subject>Pharmacokinetics</subject><subject>Pharmacological research</subject><subject>Pharmacology</subject><subject>Physiological aspects</subject><subject>Proteins</subject><subject>Snake Bites - metabolism</subject><subject>Snake Venoms - chemistry</subject><subject>Snake Venoms - pharmacokinetics</subject><subject>Snakes</subject><subject>stochastic simulation and estimation</subject><subject>Studies</subject><subject>Tissue Distribution</subject><subject>Toxins</subject><subject>Venom</subject><subject>Venoms</subject><issn>2072-6651</issn><issn>2072-6651</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpVkk1vEzEQhi0EolXplSNaiXOKP9b2-oJUhVIiVQKJwNXy2uPEadZO7Q2Cf19vU6rEh_Fo_Myrd6xB6D3BV4wp_GlMf0MshGKGSde9QucUSzoTgpPXR_kZuixlg-thjCgi36IzRiuPJT9HD8s1NIvot3uIFprkm7EWvgTvIUMca1Z2qYQxpNjM1yYbO0IOZQy2TPDPaO6hWT75aCoyNf-o2GBsug8RTrnfENPwDr3xZlvg8vm-QL--3izn32Z3328X8-u7meWEjjMulAKgRDAQDDvcO6paYb1zLeGOdNTbnvSY0960EkwnhTXSApfUU9e1mF2gxUHXJbPRuxwGk__pZIJ-KqS80iZXf1vQEpQXvCdMQNe2khje12C8w9JYQ1jV-nzQ2u37AZytP5PN9kT09CWGtV6lP1oSjhWeBD4-C-T0sIcy6k3a51jn15RJpTrV8SNqZaqrEH2qYnYIxeprUcfHlOFpsKsDZXMqJYN_8UGwnvZCn-5Fbfhw7P4F_78F7BHcHbUd</recordid><startdate>20200316</startdate><enddate>20200316</enddate><creator>Sanhajariya, Suchaya</creator><creator>Isbister, Geoffrey K</creator><creator>Duffull, Stephen B</creator><general>MDPI AG</general><general>MDPI</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>3V.</scope><scope>7T7</scope><scope>7U7</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>P64</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-7987-6296</orcidid><orcidid>https://orcid.org/0000-0003-1519-7419</orcidid></search><sort><creationdate>20200316</creationdate><title>The Influence of the Different Disposition Characteristics of Snake Toxins on the Pharmacokinetics of Snake Venom</title><author>Sanhajariya, Suchaya ; Isbister, Geoffrey K ; Duffull, Stephen B</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c512t-5699ee2163e630d0bd2946cfdd415d182fcb1b052ba47ea876ca7ce572f2d8403</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Animals</topic><topic>Atomic properties</topic><topic>Computer Simulation</topic><topic>Datasets as Topic</topic><topic>Dose-Response Relationship, Drug</topic><topic>Half-Life</topic><topic>Humans</topic><topic>Models, Biological</topic><topic>Molecular Weight</topic><topic>Peptides</topic><topic>Pharmacokinetics</topic><topic>Pharmacological research</topic><topic>Pharmacology</topic><topic>Physiological aspects</topic><topic>Proteins</topic><topic>Snake Bites - metabolism</topic><topic>Snake Venoms - chemistry</topic><topic>Snake Venoms - pharmacokinetics</topic><topic>Snakes</topic><topic>stochastic simulation and estimation</topic><topic>Studies</topic><topic>Tissue Distribution</topic><topic>Toxins</topic><topic>Venom</topic><topic>Venoms</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sanhajariya, Suchaya</creatorcontrib><creatorcontrib>Isbister, Geoffrey K</creatorcontrib><creatorcontrib>Duffull, Stephen B</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Toxicology Abstracts</collection><collection>ProQuest Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech 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 One Sustainability</collection><collection>ProQuest Central</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>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</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 (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>Toxins</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sanhajariya, Suchaya</au><au>Isbister, Geoffrey K</au><au>Duffull, Stephen B</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Influence of the Different Disposition Characteristics of Snake Toxins on the Pharmacokinetics of Snake Venom</atitle><jtitle>Toxins</jtitle><addtitle>Toxins (Basel)</addtitle><date>2020-03-16</date><risdate>2020</risdate><volume>12</volume><issue>3</issue><spage>188</spage><pages>188-</pages><issn>2072-6651</issn><eissn>2072-6651</eissn><abstract>Snake venom is comprised of a combination of different proteins and peptides with a wide range of molecular weights and different disposition processes inherent to each compound. This causes venom to have a complex exposure profile. Our study investigates 1) how each molecular weight fraction (toxin) of venom contributes to the overall time course of the snake venom, and 2) the ability to determine toxin profiles based on the profile of the overall venom only. We undertook an simulation and modelling study. Sixteen variations of venom, comprising of two to nine toxins with different molecular weights were investigated. The pharmacokinetic parameters (i.e., clearance,, and volume of distribution,) of each toxin were generated based on a log-linear relationship with molecular weight. The concentration-time data of each toxin were simulated for 100 virtual patients using MATLAB and the total concentration-time data of each toxin were modelled using NONMEM. We found that the data of sixteen mixtures were best described by either two- or three-compartment models, despite the venom being made up of more than three different toxins. This suggests that it is generally not possible to determine individual toxin profiles based on measurements of total venom concentrations only.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>32188075</pmid><doi>10.3390/toxins12030188</doi><orcidid>https://orcid.org/0000-0002-7987-6296</orcidid><orcidid>https://orcid.org/0000-0003-1519-7419</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2072-6651
ispartof Toxins, 2020-03, Vol.12 (3), p.188
issn 2072-6651
2072-6651
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_7e9f65b136e84471a5b71aafd07aca13
source Publicly Available Content Database; PubMed Central
subjects Animals
Atomic properties
Computer Simulation
Datasets as Topic
Dose-Response Relationship, Drug
Half-Life
Humans
Models, Biological
Molecular Weight
Peptides
Pharmacokinetics
Pharmacological research
Pharmacology
Physiological aspects
Proteins
Snake Bites - metabolism
Snake Venoms - chemistry
Snake Venoms - pharmacokinetics
Snakes
stochastic simulation and estimation
Studies
Tissue Distribution
Toxins
Venom
Venoms
title The Influence of the Different Disposition Characteristics of Snake Toxins on the Pharmacokinetics of Snake Venom
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T13%3A42%3A27IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20Influence%20of%20the%20Different%20Disposition%20Characteristics%20of%20Snake%20Toxins%20on%20the%20Pharmacokinetics%20of%20Snake%20Venom&rft.jtitle=Toxins&rft.au=Sanhajariya,%20Suchaya&rft.date=2020-03-16&rft.volume=12&rft.issue=3&rft.spage=188&rft.pages=188-&rft.issn=2072-6651&rft.eissn=2072-6651&rft_id=info:doi/10.3390/toxins12030188&rft_dat=%3Cgale_doaj_%3EA629402300%3C/gale_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c512t-5699ee2163e630d0bd2946cfdd415d182fcb1b052ba47ea876ca7ce572f2d8403%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2379989853&rft_id=info:pmid/32188075&rft_galeid=A629402300&rfr_iscdi=true