Within-and between-strain variability in longevity of inbred and outbred rats under the same environmental conditions
Identifieur interne : 000684 ( Istex/Corpus ); précédent : 000683; suivant : 000685Within-and between-strain variability in longevity of inbred and outbred rats under the same environmental conditions
Auteurs : Orlando Ghirardi ; Roberto Cozzolino ; Donatella Guaraldi ; Alessandro GiulianiSource :
- Experimental Gerontology [ 0531-5565 ] ; 1995.
English descriptors
- Teeft :
- Animal models, Average values, Biological material, Birth dates, Causal factors, Charles river, Component scores, Different populations, Different strains, Disease processes, Factor loadings, Fischer, Fischer rats, Gompertz, Gompertz equation, Gompertz survival function, Iffa credo, Inbred, Individual groups, Initial mortality rate, Interindividual variability, Interquartile range, Laboratory animals, Life expectancy, Life span, Longevity, Longevity curves, Longevity data, Longevity parameters, Male fischer, Male rats, Nongenetic variability, Outbred rats, Parameter, Phenotypic variability, Present study, Principal component analysis, Rat, Same discrepancy, Same strain, Second year, Significant correlation, Significant differences, Statistical analysis, Study period, Survival curve, Survival curves, Survival data, Survival parameters, Variability.
Abstract
Abstract: The analysis of 26 longevity curves of different populations of inbred (Fischer 344) and outbred (Sprague-Dawley) rats highlighted a remarkable between-populations variability in survival parameters. This variability is independent of the breeding characteristics of the strain. The two strains differed in the slope of the survival curves, with Fischer 344 rats showing a higher survival over the second year of life as well as a lower interindividual variability. A model-free approach based on principal component analysis allowed us to quantify these differences and to highlight some limitations of the classical Gompertzian approach.
Url:
DOI: 10.1016/0531-5565(95)00002-X
Links to Exploration step
ISTEX:8A93D726250563D7313145B30E96BBB617E33E6CLe document en format XML
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last="Guaraldi">Donatella Guaraldi</name><affiliation><mods:affiliation>Institute for Research on Senescence, Sigma-Tau S.p.A., Via Pontina Km 30.400, 00040 Pomezia, Roma, Italy</mods:affiliation></affiliation></author><author><name sortKey="Giuliani, Alessandro" sort="Giuliani, Alessandro" uniqKey="Giuliani A" first="Alessandro" last="Giuliani">Alessandro Giuliani</name><affiliation><mods:affiliation>Institute for Research on Senescence, Sigma-Tau S.p.A., Via Pontina Km 30.400, 00040 Pomezia, Roma, Italy</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">Experimental Gerontology</title><title level="j" type="abbrev">EXG</title><idno type="ISSN">0531-5565</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="1995">1995</date><biblScope unit="volume">30</biblScope><biblScope unit="issue">5</biblScope><biblScope unit="page" from="485">485</biblScope><biblScope unit="page" to="494">494</biblScope></imprint><idno 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parameters</term><term>Male fischer</term><term>Male rats</term><term>Nongenetic variability</term><term>Outbred rats</term><term>Parameter</term><term>Phenotypic variability</term><term>Present study</term><term>Principal component analysis</term><term>Rat</term><term>Same discrepancy</term><term>Same strain</term><term>Second year</term><term>Significant correlation</term><term>Significant differences</term><term>Statistical analysis</term><term>Study period</term><term>Survival curve</term><term>Survival curves</term><term>Survival data</term><term>Survival parameters</term><term>Variability</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: The analysis of 26 longevity curves of different populations of inbred (Fischer 344) and outbred (Sprague-Dawley) rats highlighted a remarkable between-populations variability in survival parameters. This variability is independent of the breeding characteristics of the strain. The two strains differed in the slope of the survival curves, with Fischer 344 rats showing a higher survival over the second year of life as well as a lower interindividual variability. A model-free approach based on principal component analysis allowed us to quantify these differences and to highlight some limitations of the classical Gompertzian approach.</div></front></TEI><istex><corpusName>elsevier</corpusName><keywords><teeft><json:string>fischer</json:string><json:string>gompertz</json:string><json:string>variability</json:string><json:string>inbred</json:string><json:string>fischer rats</json:string><json:string>animal models</json:string><json:string>survival curves</json:string><json:string>survival curve</json:string><json:string>interindividual variability</json:string><json:string>statistical analysis</json:string><json:string>same strain</json:string><json:string>survival data</json:string><json:string>life span</json:string><json:string>outbred rats</json:string><json:string>longevity</json:string><json:string>phenotypic variability</json:string><json:string>survival parameters</json:string><json:string>significant differences</json:string><json:string>gompertz equation</json:string><json:string>longevity data</json:string><json:string>life expectancy</json:string><json:string>component scores</json:string><json:string>second year</json:string><json:string>principal component analysis</json:string><json:string>iffa credo</json:string><json:string>charles river</json:string><json:string>birth dates</json:string><json:string>significant correlation</json:string><json:string>rat</json:string><json:string>parameter</json:string><json:string>longevity parameters</json:string><json:string>study period</json:string><json:string>nongenetic variability</json:string><json:string>laboratory animals</json:string><json:string>interquartile range</json:string><json:string>disease processes</json:string><json:string>factor loadings</json:string><json:string>different strains</json:string><json:string>gompertz survival function</json:string><json:string>male rats</json:string><json:string>present study</json:string><json:string>initial mortality rate</json:string><json:string>longevity curves</json:string><json:string>different populations</json:string><json:string>individual groups</json:string><json:string>average values</json:string><json:string>same discrepancy</json:string><json:string>male fischer</json:string><json:string>biological material</json:string><json:string>causal factors</json:string></teeft></keywords><author><json:item><name>Orlando Ghirardi</name><affiliations><json:string>Institute for Research on Senescence, Sigma-Tau S.p.A., Via Pontina Km 30.400, 00040 Pomezia, Roma, Italy</json:string></affiliations></json:item><json:item><name>Roberto Cozzolino</name><affiliations><json:string>Institute for Research on Senescence, Sigma-Tau S.p.A., Via Pontina Km 30.400, 00040 Pomezia, Roma, Italy</json:string></affiliations></json:item><json:item><name>Donatella Guaraldi</name><affiliations><json:string>Institute for Research on Senescence, Sigma-Tau S.p.A., Via Pontina Km 30.400, 00040 Pomezia, Roma, Italy</json:string></affiliations></json:item><json:item><name>Alessandro Giuliani</name><affiliations><json:string>Institute for Research on Senescence, Sigma-Tau S.p.A., Via Pontina Km 30.400, 00040 Pomezia, Roma, Italy</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>Aging</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>animal models</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>longevity</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>life span</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>rats</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>genetics</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>phenotypic variability</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Fischer 344</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Sprague-Dawley</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Gompertz' law</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Principal Component Analysis</value></json:item></subject><arkIstex>ark:/67375/6H6-P1RNVGHQ-4</arkIstex><language><json:string>eng</json:string></language><originalGenre><json:string>Full-length article</json:string></originalGenre><abstract>Abstract: The analysis of 26 longevity curves of different populations of inbred (Fischer 344) and outbred (Sprague-Dawley) rats highlighted a remarkable between-populations variability in survival parameters. This variability is independent of the breeding characteristics of the strain. The two strains differed in the slope of the survival curves, with Fischer 344 rats showing a higher survival over the second year of life as well as a lower interindividual variability. A model-free approach based on principal component analysis allowed us to quantify these differences and to highlight some limitations of the classical Gompertzian approach.</abstract><qualityIndicators><score>7.163</score><pdfWordCount>4047</pdfWordCount><pdfCharCount>22349</pdfCharCount><pdfVersion>1.2</pdfVersion><pdfPageCount>10</pdfPageCount><pdfPageSize>490 x 706 pts</pdfPageSize><refBibsNative>true</refBibsNative><abstractWordCount>93</abstractWordCount><abstractCharCount>649</abstractCharCount><keywordCount>11</keywordCount></qualityIndicators><title>Within-and between-strain variability in longevity of inbred and outbred rats under the same environmental conditions</title><pmid><json:string>8557096</json:string></pmid><pii><json:string>0531-5565(95)00002-X</json:string></pii><genre><json:string>research-article</json:string></genre><serie><title>Development of the Rodent as a Model System of Aging, Book II</title><language><json:string>unknown</json:string></language><pages><first>19</first><last>34</last></pages><editor><json:item><name>D.C. Gibson</name></json:item><json:item><name>R.C. Adelman</name></json:item><json:item><name>C. Finch</name></json:item></editor></serie><host><title>Experimental Gerontology</title><language><json:string>unknown</json:string></language><publicationDate>1995</publicationDate><issn><json:string>0531-5565</json:string></issn><pii><json:string>S0531-5565(00)X0004-6</json:string></pii><volume>30</volume><issue>5</issue><pages><first>485</first><last>494</last></pages><genre><json:string>journal</json:string></genre></host><namedEntities><unitex><date><json:string>3802</json:string><json:string>1995</json:string><json:string>1991</json:string></date><geogName></geogName><orgName><json:string>I and Institute for Research on Senescence, Sigma-Tau S</json:string><json:string>Italy Abstract</json:string><json:string>University of Rome</json:string><json:string>E ENVIRONMENTAL CONDITIONS ORLANDO G H I R</json:string></orgName><orgName_funder></orgName_funder><orgName_provider></orgName_provider><persName><json:string>Enrico Sorci</json:string><json:string>Alfredo Colosimo</json:string><json:string>Component</json:string><json:string>Orlando Ghirardi</json:string><json:string>Charles River</json:string><json:string>La Sapienza</json:string></persName><placeName></placeName><ref_url></ref_url><ref_bibl><json:string>Finch et al., 1990</json:string><json:string>Sass et al., 1975</json:string><json:string>Stahle and Wold, 1988</json:string><json:string>Festing, 1991</json:string><json:string>Chesky and Rockstein, 1976</json:string><json:string>Pitsikas and Algeri, 1992</json:string><json:string>Masoro, 1991</json:string><json:string>IFFA CREDO, 1990</json:string><json:string>Coleman et al., 1977</json:string><json:string>Lebart et al., 1984</json:string><json:string>Wilson, 1993</json:string><json:string>Riggs, 1991</json:string><json:string>Iwasaki et al., 1988</json:string><json:string>Holloszy et al., 1985</json:string><json:string>Phelan and Austad, 1994</json:string><json:string>see also Festing, 1993</json:string><json:string>Coates, 1991</json:string><json:string>Jones and Rice, 1992</json:string><json:string>Adelmann et al., 1978</json:string><json:string>Kirkwood, 1992</json:string><json:string>see Armitage, 1971</json:string><json:string>Committee on Animal Models For Research on Aging, 1981</json:string><json:string>Chialvo et al., 1990</json:string><json:string>Committee on Animal Models For research on Aging, 1981</json:string><json:string>Festing, 1993</json:string><json:string>Marquardt, 1963</json:string><json:string>Armitage, 1971</json:string><json:string>Foisil, 1989</json:string></ref_bibl><bibl></bibl></unitex></namedEntities><ark><json:string>ark:/67375/6H6-P1RNVGHQ-4</json:string></ark><categories><wos><json:string>1 - 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This variability is independent of the breeding characteristics of the strain. The two strains differed in the slope of the survival curves, with Fischer 344 rats showing a higher survival over the second year of life as well as a lower interindividual variability. A model-free approach based on principal component analysis allowed us to quantify these differences and to highlight some limitations of the classical Gompertzian approach.</p></abstract><textClass><keywords scheme="keyword"><list><head>Keywords</head><item><term>Aging</term></item><item><term>animal models</term></item><item><term>longevity</term></item><item><term>life span</term></item><item><term>rats</term></item><item><term>genetics</term></item><item><term>phenotypic variability</term></item><item><term>Fischer 344</term></item><item><term>Sprague-Dawley</term></item><item><term>Gompertz' law</term></item><item><term>Principal Component Analysis</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="1995">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/ark:/67375/6H6-P1RNVGHQ-4/fulltext.txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Elsevier, elements deleted: tail"><istex:xmlDeclaration>version="1.0" encoding="utf-8"</istex:xmlDeclaration><istex:docType PUBLIC="-//ES//DTD journal article DTD version 4.5.2//EN//XML" URI="art452.dtd" name="istex:docType"></istex:docType><istex:document><converted-article version="4.5.2" docsubtype="fla"><item-info><jid>EXG</jid><aid>9500002X</aid><ce:pii>0531-5565(95)00002-X</ce:pii><ce:doi>10.1016/0531-5565(95)00002-X</ce:doi><ce:copyright type="unknown" year="1995"></ce:copyright></item-info><head><ce:title>Within-and between-strain variability in longevity of inbred and outbred rats under the same environmental conditions</ce:title><ce:author-group><ce:author><ce:given-name>Orlando</ce:given-name><ce:surname>Ghirardi</ce:surname><ce:cross-ref refid="COR1"><ce:sup>∗</ce:sup></ce:cross-ref></ce:author><ce:author><ce:given-name>Roberto</ce:given-name><ce:surname>Cozzolino</ce:surname></ce:author><ce:author><ce:given-name>Donatella</ce:given-name><ce:surname>Guaraldi</ce:surname></ce:author><ce:author><ce:given-name>Alessandro</ce:given-name><ce:surname>Giuliani</ce:surname></ce:author><ce:affiliation><ce:textfn>Institute for Research on Senescence, Sigma-Tau S.p.A., Via Pontina Km 30.400, 00040 Pomezia, Roma, Italy</ce:textfn></ce:affiliation><ce:correspondence id="COR1"><ce:label>∗</ce:label><ce:text>Correspondence to: Orlando Ghirardi</ce:text></ce:correspondence></ce:author-group><ce:date-received day="3" month="5" year="1994"></ce:date-received><ce:date-accepted day="25" month="11" year="1994"></ce:date-accepted><ce:abstract><ce:section-title>Abstract</ce:section-title><ce:abstract-sec><ce:simple-para>The analysis of 26 longevity curves of different populations of inbred (Fischer 344) and outbred (Sprague-Dawley) rats highlighted a remarkable between-populations variability in survival parameters. This variability is independent of the breeding characteristics of the strain. The two strains differed in the slope of the survival curves, with Fischer 344 rats showing a higher survival over the second year of life as well as a lower interindividual variability. A model-free approach based on principal component analysis allowed us to quantify these differences and to highlight some limitations of the classical Gompertzian approach.</ce:simple-para></ce:abstract-sec></ce:abstract><ce:keywords><ce:section-title>Keywords</ce:section-title><ce:keyword><ce:text>Aging</ce:text></ce:keyword><ce:keyword><ce:text>animal models</ce:text></ce:keyword><ce:keyword><ce:text>longevity</ce:text></ce:keyword><ce:keyword><ce:text>life span</ce:text></ce:keyword><ce:keyword><ce:text>rats</ce:text></ce:keyword><ce:keyword><ce:text>genetics</ce:text></ce:keyword><ce:keyword><ce:text>phenotypic variability</ce:text></ce:keyword><ce:keyword><ce:text>Fischer 344</ce:text></ce:keyword><ce:keyword><ce:text>Sprague-Dawley</ce:text></ce:keyword><ce:keyword><ce:text>Gompertz' law</ce:text></ce:keyword><ce:keyword><ce:text>Principal Component Analysis</ce:text></ce:keyword></ce:keywords></head></converted-article></istex:document></istex:metadataXml><mods version="3.6"><titleInfo><title>Within-and between-strain variability in longevity of inbred and outbred rats under the same environmental conditions</title></titleInfo><titleInfo type="alternative" contentType="CDATA"><title>Within-and between-strain variability in longevity of inbred and outbred rats under the same environmental conditions</title></titleInfo><name type="personal"><namePart type="given">Orlando</namePart><namePart type="family">Ghirardi</namePart><affiliation>Institute for Research on Senescence, Sigma-Tau S.p.A., Via Pontina Km 30.400, 00040 Pomezia, Roma, Italy</affiliation><description>Correspondence to: Orlando Ghirardi</description><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Roberto</namePart><namePart type="family">Cozzolino</namePart><affiliation>Institute for Research on Senescence, Sigma-Tau S.p.A., Via Pontina Km 30.400, 00040 Pomezia, Roma, Italy</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Donatella</namePart><namePart type="family">Guaraldi</namePart><affiliation>Institute for Research on Senescence, Sigma-Tau S.p.A., Via Pontina Km 30.400, 00040 Pomezia, Roma, Italy</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Alessandro</namePart><namePart type="family">Giuliani</namePart><affiliation>Institute for Research on Senescence, Sigma-Tau S.p.A., Via Pontina Km 30.400, 00040 Pomezia, Roma, Italy</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="research-article" displayLabel="Full-length article" authority="ISTEX" authorityURI="https://content-type.data.istex.fr" valueURI="https://content-type.data.istex.fr/ark:/67375/XTP-1JC4F85T-7">research-article</genre><originInfo><publisher>ELSEVIER</publisher><dateIssued encoding="w3cdtf">1995</dateIssued><copyrightDate encoding="w3cdtf">1995</copyrightDate></originInfo><language><languageTerm type="code" authority="iso639-2b">eng</languageTerm><languageTerm type="code" authority="rfc3066">en</languageTerm></language><abstract lang="en">Abstract: The analysis of 26 longevity curves of different populations of inbred (Fischer 344) and outbred (Sprague-Dawley) rats highlighted a remarkable between-populations variability in survival parameters. This variability is independent of the breeding characteristics of the strain. The two strains differed in the slope of the survival curves, with Fischer 344 rats showing a higher survival over the second year of life as well as a lower interindividual variability. A model-free approach based on principal component analysis allowed us to quantify these differences and to highlight some limitations of the classical Gompertzian approach.</abstract><subject><genre>Keywords</genre><topic>Aging</topic><topic>animal models</topic><topic>longevity</topic><topic>life span</topic><topic>rats</topic><topic>genetics</topic><topic>phenotypic variability</topic><topic>Fischer 344</topic><topic>Sprague-Dawley</topic><topic>Gompertz' law</topic><topic>Principal Component Analysis</topic></subject><relatedItem type="host"><titleInfo><title>Experimental Gerontology</title></titleInfo><titleInfo type="abbreviated"><title>EXG</title></titleInfo><genre type="journal" authority="ISTEX" authorityURI="https://publication-type.data.istex.fr" valueURI="https://publication-type.data.istex.fr/ark:/67375/JMC-0GLKJH51-B">journal</genre><originInfo><publisher>ELSEVIER</publisher><dateIssued encoding="w3cdtf">1995</dateIssued></originInfo><identifier type="ISSN">0531-5565</identifier><identifier type="PII">S0531-5565(00)X0004-6</identifier><part><date>1995</date><detail type="volume"><number>30</number><caption>vol.</caption></detail><detail type="issue"><number>5</number><caption>no.</caption></detail><extent unit="issue-pages"><start>445</start><end>551</end></extent><extent unit="pages"><start>485</start><end>494</end></extent></part></relatedItem><identifier type="istex">8A93D726250563D7313145B30E96BBB617E33E6C</identifier><identifier type="ark">ark:/67375/6H6-P1RNVGHQ-4</identifier><identifier type="DOI">10.1016/0531-5565(95)00002-X</identifier><identifier type="PII">0531-5565(95)00002-X</identifier><recordInfo><recordContentSource authority="ISTEX" authorityURI="https://loaded-corpus.data.istex.fr" valueURI="https://loaded-corpus.data.istex.fr/ark:/67375/XBH-HKKZVM7B-M">elsevier</recordContentSource></recordInfo></mods><json:item><extension>json</extension><original>false</original><mimetype>application/json</mimetype><uri>https://api.istex.fr/ark:/67375/6H6-P1RNVGHQ-4/record.json</uri></json:item></metadata></istex></record>Pour manipuler ce document sous Unix (Dilib)
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