C-Peptide-based assessment of insulin secretion in the Zucker Fatty rat: a modelistic study

A C-peptide-based assessment of β-cell function was performed here in the Zucker fatty rat, a suitable animal model of human metabolic syndrome. To this aim, a 90-min intravenous glucose tolerance test (IVGTT) was performed in seven Zucker fatty rats (ZFR), 7-to-9 week-old, and seven age-matched Zuc...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:PloS one 2015-05, Vol.10 (5), p.e0125252-e0125252
Hauptverfasser: Di Nardo, Francesco, Cogo, Carla E, Faelli, Emanuela, Morettini, Micaela, Burattini, Laura, Ruggeri, Piero
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page e0125252
container_issue 5
container_start_page e0125252
container_title PloS one
container_volume 10
creator Di Nardo, Francesco
Cogo, Carla E
Faelli, Emanuela
Morettini, Micaela
Burattini, Laura
Ruggeri, Piero
description A C-peptide-based assessment of β-cell function was performed here in the Zucker fatty rat, a suitable animal model of human metabolic syndrome. To this aim, a 90-min intravenous glucose tolerance test (IVGTT) was performed in seven Zucker fatty rats (ZFR), 7-to-9 week-old, and seven age-matched Zucker lean rats (ZLR). The minimal model of C-peptide (CPMM), originally introduced for humans, was adapted to Zucker rats and then applied to interpret IVGTT data. For a comprehensive evaluation of glucose tolerance in ZFR, CPMM was applied in combination with the minimal model of glucose kinetics (GKMM). Our results showed that the present CPMM-based interpretation of data is able to: 1) provide a suitable fit of C-Peptide data; 2) achieve a satisfactory estimation of parameters of interest 3) quantify both insulin secretion by estimating the time course of pre-hepatic secretion rate, SR(t), and total insulin secretion, TIS, and pancreatic sensitivity by means of three specific indexes of β-cell responsiveness to glucose stimulus (first-phase, Ф(1), second-phase, Ф(2), and steady-state, Ф(ss), never assessed in Zucker rats before; 4) detect the significant enhancement of insulin secretion in the ZFR, in face of a severe insulin-resistant state, previously observed only using a purely experimental approach. Thus, the methodology presented here represents a reliable tool to assess β-cell function in the Zucker rat, and opens new possibilities for the quantification of further processes involved in glucose homeostasis such as the hepatic insulin degradation.
doi_str_mv 10.1371/journal.pone.0125252
format Article
fullrecord <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1678576908</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A430333095</galeid><doaj_id>oai_doaj_org_article_1439dc6f737240e3973ba68b73727034</doaj_id><sourcerecordid>A430333095</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-c1f7c2175f71c936270b5d562a6125fc61aedc4b4973ca79a0ea105e9fdb72203</originalsourceid><addsrcrecordid>eNqNk12L1DAUhoso7rr6D0QDguhFx6Rpk9QLYRlcHVhY8etCL0Kans5kbJsxScX596ZOd5nKXkgu2pw-5z0fPSdJHhO8IJSTV1s7uF61i53tYYFJVsRzJzklJc1SlmF69-j9JHng_RbjggrG7icnWVFSIbA4Tb4v0w-wC6aGtFIeaqS8B-876AOyDTK9H1rTIw_aQTC2jxYUNoC-DfoHOHShQtgjp8JrpFBna2iND0YjH4Z6_zC516jWw6PpeZZ8uXj7efk-vbx6t1qeX6aalVlINWm4zggvGk50SVnGcVXUBcsUi1U1mhEFtc6rvORUK14qDIrgAsqmrngWqztLnh50d631cuqLl4RxUXBWYhGJ1YGordrKnTOdcntplZF_DdatpXIx7xYkyWlZa9ZwyrMcA41BK8VENd45pnnUejNFG6ouJhY75VQ7E51_6c1Gru0vmedE8KyMAi8mAWd_DuCD7IzX0LaqBzuMeQtMRIEFi-izf9Dbq5uotYoFmL6xMa4eReV5TjGlFJdFpBa3UPHU0Bkdh6gx0T5zeDlziEyA32GtBu_l6tPH_2evvs7Z50fsBlQbNt62wzhefg7mB1A7672D5qbJBMtxB667IccdkNMORLcnxz_oxul66OkfXAb_qQ</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1678576908</pqid></control><display><type>article</type><title>C-Peptide-based assessment of insulin secretion in the Zucker Fatty rat: a modelistic study</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><source>Public Library of Science (PLoS)</source><creator>Di Nardo, Francesco ; Cogo, Carla E ; Faelli, Emanuela ; Morettini, Micaela ; Burattini, Laura ; Ruggeri, Piero</creator><creatorcontrib>Di Nardo, Francesco ; Cogo, Carla E ; Faelli, Emanuela ; Morettini, Micaela ; Burattini, Laura ; Ruggeri, Piero</creatorcontrib><description>A C-peptide-based assessment of β-cell function was performed here in the Zucker fatty rat, a suitable animal model of human metabolic syndrome. To this aim, a 90-min intravenous glucose tolerance test (IVGTT) was performed in seven Zucker fatty rats (ZFR), 7-to-9 week-old, and seven age-matched Zucker lean rats (ZLR). The minimal model of C-peptide (CPMM), originally introduced for humans, was adapted to Zucker rats and then applied to interpret IVGTT data. For a comprehensive evaluation of glucose tolerance in ZFR, CPMM was applied in combination with the minimal model of glucose kinetics (GKMM). Our results showed that the present CPMM-based interpretation of data is able to: 1) provide a suitable fit of C-Peptide data; 2) achieve a satisfactory estimation of parameters of interest 3) quantify both insulin secretion by estimating the time course of pre-hepatic secretion rate, SR(t), and total insulin secretion, TIS, and pancreatic sensitivity by means of three specific indexes of β-cell responsiveness to glucose stimulus (first-phase, Ф(1), second-phase, Ф(2), and steady-state, Ф(ss), never assessed in Zucker rats before; 4) detect the significant enhancement of insulin secretion in the ZFR, in face of a severe insulin-resistant state, previously observed only using a purely experimental approach. Thus, the methodology presented here represents a reliable tool to assess β-cell function in the Zucker rat, and opens new possibilities for the quantification of further processes involved in glucose homeostasis such as the hepatic insulin degradation.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0125252</identifier><identifier>PMID: 25938808</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Animals ; Blood Glucose ; C-Peptide - metabolism ; Care and treatment ; Data interpretation ; Diagnosis ; Disease Models, Animal ; Glucose ; Glucose - metabolism ; Glucose tolerance ; Glucose Tolerance Test ; Homeostasis ; Insulin ; Insulin - blood ; Insulin - metabolism ; Insulin resistance ; Insulin Secretion ; Insulin-Secreting Cells - metabolism ; Intravenous administration ; Kinetics ; Laboratories ; Male ; Metabolic disorders ; Metabolic syndrome ; Metabolic syndrome X ; Pancreas ; Parameter estimation ; Peptides ; Rats ; Rats, Zucker ; Risk factors ; Rodents ; Secretion ; Time Factors</subject><ispartof>PloS one, 2015-05, Vol.10 (5), p.e0125252-e0125252</ispartof><rights>COPYRIGHT 2015 Public Library of Science</rights><rights>2015 Di Nardo 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>2015 Di Nardo et al 2015 Di Nardo et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-c1f7c2175f71c936270b5d562a6125fc61aedc4b4973ca79a0ea105e9fdb72203</citedby><cites>FETCH-LOGICAL-c692t-c1f7c2175f71c936270b5d562a6125fc61aedc4b4973ca79a0ea105e9fdb72203</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4418729/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4418729/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79343,79344</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25938808$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Di Nardo, Francesco</creatorcontrib><creatorcontrib>Cogo, Carla E</creatorcontrib><creatorcontrib>Faelli, Emanuela</creatorcontrib><creatorcontrib>Morettini, Micaela</creatorcontrib><creatorcontrib>Burattini, Laura</creatorcontrib><creatorcontrib>Ruggeri, Piero</creatorcontrib><title>C-Peptide-based assessment of insulin secretion in the Zucker Fatty rat: a modelistic study</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>A C-peptide-based assessment of β-cell function was performed here in the Zucker fatty rat, a suitable animal model of human metabolic syndrome. To this aim, a 90-min intravenous glucose tolerance test (IVGTT) was performed in seven Zucker fatty rats (ZFR), 7-to-9 week-old, and seven age-matched Zucker lean rats (ZLR). The minimal model of C-peptide (CPMM), originally introduced for humans, was adapted to Zucker rats and then applied to interpret IVGTT data. For a comprehensive evaluation of glucose tolerance in ZFR, CPMM was applied in combination with the minimal model of glucose kinetics (GKMM). Our results showed that the present CPMM-based interpretation of data is able to: 1) provide a suitable fit of C-Peptide data; 2) achieve a satisfactory estimation of parameters of interest 3) quantify both insulin secretion by estimating the time course of pre-hepatic secretion rate, SR(t), and total insulin secretion, TIS, and pancreatic sensitivity by means of three specific indexes of β-cell responsiveness to glucose stimulus (first-phase, Ф(1), second-phase, Ф(2), and steady-state, Ф(ss), never assessed in Zucker rats before; 4) detect the significant enhancement of insulin secretion in the ZFR, in face of a severe insulin-resistant state, previously observed only using a purely experimental approach. Thus, the methodology presented here represents a reliable tool to assess β-cell function in the Zucker rat, and opens new possibilities for the quantification of further processes involved in glucose homeostasis such as the hepatic insulin degradation.</description><subject>Animals</subject><subject>Blood Glucose</subject><subject>C-Peptide - metabolism</subject><subject>Care and treatment</subject><subject>Data interpretation</subject><subject>Diagnosis</subject><subject>Disease Models, Animal</subject><subject>Glucose</subject><subject>Glucose - metabolism</subject><subject>Glucose tolerance</subject><subject>Glucose Tolerance Test</subject><subject>Homeostasis</subject><subject>Insulin</subject><subject>Insulin - blood</subject><subject>Insulin - metabolism</subject><subject>Insulin resistance</subject><subject>Insulin Secretion</subject><subject>Insulin-Secreting Cells - metabolism</subject><subject>Intravenous administration</subject><subject>Kinetics</subject><subject>Laboratories</subject><subject>Male</subject><subject>Metabolic disorders</subject><subject>Metabolic syndrome</subject><subject>Metabolic syndrome X</subject><subject>Pancreas</subject><subject>Parameter estimation</subject><subject>Peptides</subject><subject>Rats</subject><subject>Rats, Zucker</subject><subject>Risk factors</subject><subject>Rodents</subject><subject>Secretion</subject><subject>Time Factors</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk12L1DAUhoso7rr6D0QDguhFx6Rpk9QLYRlcHVhY8etCL0Kans5kbJsxScX596ZOd5nKXkgu2pw-5z0fPSdJHhO8IJSTV1s7uF61i53tYYFJVsRzJzklJc1SlmF69-j9JHng_RbjggrG7icnWVFSIbA4Tb4v0w-wC6aGtFIeaqS8B-876AOyDTK9H1rTIw_aQTC2jxYUNoC-DfoHOHShQtgjp8JrpFBna2iND0YjH4Z6_zC516jWw6PpeZZ8uXj7efk-vbx6t1qeX6aalVlINWm4zggvGk50SVnGcVXUBcsUi1U1mhEFtc6rvORUK14qDIrgAsqmrngWqztLnh50d631cuqLl4RxUXBWYhGJ1YGordrKnTOdcntplZF_DdatpXIx7xYkyWlZa9ZwyrMcA41BK8VENd45pnnUejNFG6ouJhY75VQ7E51_6c1Gru0vmedE8KyMAi8mAWd_DuCD7IzX0LaqBzuMeQtMRIEFi-izf9Dbq5uotYoFmL6xMa4eReV5TjGlFJdFpBa3UPHU0Bkdh6gx0T5zeDlziEyA32GtBu_l6tPH_2evvs7Z50fsBlQbNt62wzhefg7mB1A7672D5qbJBMtxB667IccdkNMORLcnxz_oxul66OkfXAb_qQ</recordid><startdate>20150504</startdate><enddate>20150504</enddate><creator>Di Nardo, Francesco</creator><creator>Cogo, Carla E</creator><creator>Faelli, Emanuela</creator><creator>Morettini, Micaela</creator><creator>Burattini, Laura</creator><creator>Ruggeri, Piero</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>IOV</scope><scope>ISR</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>AEUYN</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></search><sort><creationdate>20150504</creationdate><title>C-Peptide-based assessment of insulin secretion in the Zucker Fatty rat: a modelistic study</title><author>Di Nardo, Francesco ; Cogo, Carla E ; Faelli, Emanuela ; Morettini, Micaela ; Burattini, Laura ; Ruggeri, Piero</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-c1f7c2175f71c936270b5d562a6125fc61aedc4b4973ca79a0ea105e9fdb72203</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Animals</topic><topic>Blood Glucose</topic><topic>C-Peptide - metabolism</topic><topic>Care and treatment</topic><topic>Data interpretation</topic><topic>Diagnosis</topic><topic>Disease Models, Animal</topic><topic>Glucose</topic><topic>Glucose - metabolism</topic><topic>Glucose tolerance</topic><topic>Glucose Tolerance Test</topic><topic>Homeostasis</topic><topic>Insulin</topic><topic>Insulin - blood</topic><topic>Insulin - metabolism</topic><topic>Insulin resistance</topic><topic>Insulin Secretion</topic><topic>Insulin-Secreting Cells - metabolism</topic><topic>Intravenous administration</topic><topic>Kinetics</topic><topic>Laboratories</topic><topic>Male</topic><topic>Metabolic disorders</topic><topic>Metabolic syndrome</topic><topic>Metabolic syndrome X</topic><topic>Pancreas</topic><topic>Parameter estimation</topic><topic>Peptides</topic><topic>Rats</topic><topic>Rats, Zucker</topic><topic>Risk factors</topic><topic>Rodents</topic><topic>Secretion</topic><topic>Time Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Di Nardo, Francesco</creatorcontrib><creatorcontrib>Cogo, Carla E</creatorcontrib><creatorcontrib>Faelli, Emanuela</creatorcontrib><creatorcontrib>Morettini, Micaela</creatorcontrib><creatorcontrib>Burattini, Laura</creatorcontrib><creatorcontrib>Ruggeri, Piero</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: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing &amp; Allied Health Database</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>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>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 Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>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 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>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>Agricultural 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>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</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 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>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>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Di Nardo, Francesco</au><au>Cogo, Carla E</au><au>Faelli, Emanuela</au><au>Morettini, Micaela</au><au>Burattini, Laura</au><au>Ruggeri, Piero</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>C-Peptide-based assessment of insulin secretion in the Zucker Fatty rat: a modelistic study</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2015-05-04</date><risdate>2015</risdate><volume>10</volume><issue>5</issue><spage>e0125252</spage><epage>e0125252</epage><pages>e0125252-e0125252</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>A C-peptide-based assessment of β-cell function was performed here in the Zucker fatty rat, a suitable animal model of human metabolic syndrome. To this aim, a 90-min intravenous glucose tolerance test (IVGTT) was performed in seven Zucker fatty rats (ZFR), 7-to-9 week-old, and seven age-matched Zucker lean rats (ZLR). The minimal model of C-peptide (CPMM), originally introduced for humans, was adapted to Zucker rats and then applied to interpret IVGTT data. For a comprehensive evaluation of glucose tolerance in ZFR, CPMM was applied in combination with the minimal model of glucose kinetics (GKMM). Our results showed that the present CPMM-based interpretation of data is able to: 1) provide a suitable fit of C-Peptide data; 2) achieve a satisfactory estimation of parameters of interest 3) quantify both insulin secretion by estimating the time course of pre-hepatic secretion rate, SR(t), and total insulin secretion, TIS, and pancreatic sensitivity by means of three specific indexes of β-cell responsiveness to glucose stimulus (first-phase, Ф(1), second-phase, Ф(2), and steady-state, Ф(ss), never assessed in Zucker rats before; 4) detect the significant enhancement of insulin secretion in the ZFR, in face of a severe insulin-resistant state, previously observed only using a purely experimental approach. Thus, the methodology presented here represents a reliable tool to assess β-cell function in the Zucker rat, and opens new possibilities for the quantification of further processes involved in glucose homeostasis such as the hepatic insulin degradation.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25938808</pmid><doi>10.1371/journal.pone.0125252</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1932-6203
ispartof PloS one, 2015-05, Vol.10 (5), p.e0125252-e0125252
issn 1932-6203
1932-6203
language eng
recordid cdi_plos_journals_1678576908
source MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS)
subjects Animals
Blood Glucose
C-Peptide - metabolism
Care and treatment
Data interpretation
Diagnosis
Disease Models, Animal
Glucose
Glucose - metabolism
Glucose tolerance
Glucose Tolerance Test
Homeostasis
Insulin
Insulin - blood
Insulin - metabolism
Insulin resistance
Insulin Secretion
Insulin-Secreting Cells - metabolism
Intravenous administration
Kinetics
Laboratories
Male
Metabolic disorders
Metabolic syndrome
Metabolic syndrome X
Pancreas
Parameter estimation
Peptides
Rats
Rats, Zucker
Risk factors
Rodents
Secretion
Time Factors
title C-Peptide-based assessment of insulin secretion in the Zucker Fatty rat: a modelistic study
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-01T21%3A23%3A48IST&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=C-Peptide-based%20assessment%20of%20insulin%20secretion%20in%20the%20Zucker%20Fatty%20rat:%20a%20modelistic%20study&rft.jtitle=PloS%20one&rft.au=Di%20Nardo,%20Francesco&rft.date=2015-05-04&rft.volume=10&rft.issue=5&rft.spage=e0125252&rft.epage=e0125252&rft.pages=e0125252-e0125252&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0125252&rft_dat=%3Cgale_plos_%3EA430333095%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=1678576908&rft_id=info:pmid/25938808&rft_galeid=A430333095&rft_doaj_id=oai_doaj_org_article_1439dc6f737240e3973ba68b73727034&rfr_iscdi=true