An Automated, Home-Cage, Video Monitoring-based Mouse Frailty Index Detects Age-associated Morbidity in C57BL/6 and Diversity Outbred Mice
Abstract Frailty indexes (FIs) provide quantitative measurements of nonspecific health decline and are particularly useful as longitudinal monitors of morbidity in aging studies. For mouse studies, frailty assessments can be taken noninvasively, but they require handling and direct observation that...
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| Veröffentlicht in: | The journals of gerontology. Series A, Biological sciences and medical sciences Biological sciences and medical sciences, 2023-05, Vol.78 (5), p.762-770 |
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| container_title | The journals of gerontology. Series A, Biological sciences and medical sciences |
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| creator | Ruby, J Graham Di Francesco, Andrea Ylagan, Paulo Luo, Angela Keyser, Robert Williams, Owen Spock, Sarah Li, Wenzhou Vongtharangsy, Nalien Chatterjee, Sandip Sloan, Cricket A Ledogar, Charles Kuiper, Veronica Kite, Janessa Cosino, Marcelo Cha, Paulyn Karlsson, Eleanor M |
| description | Abstract
Frailty indexes (FIs) provide quantitative measurements of nonspecific health decline and are particularly useful as longitudinal monitors of morbidity in aging studies. For mouse studies, frailty assessments can be taken noninvasively, but they require handling and direct observation that is labor-intensive to the scientist and stress inducing to the animal. Here, we implement, evaluate, and provide a refined digital FI composed entirely of computational analyses of home-cage video and compare it to manually obtained frailty scores in both C57BL/6 and genetically heterogeneous Diversity Outbred mice. We show that the frailty scores assigned by our digital index correlate with both manually obtained frailty scores and chronological age. Thus, we provide an automated tool for frailty assessment that can be collected reproducibly, at scale, without substantial labor cost. |
| doi_str_mv | 10.1093/gerona/glad035 |
| format | Article |
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Frailty indexes (FIs) provide quantitative measurements of nonspecific health decline and are particularly useful as longitudinal monitors of morbidity in aging studies. For mouse studies, frailty assessments can be taken noninvasively, but they require handling and direct observation that is labor-intensive to the scientist and stress inducing to the animal. Here, we implement, evaluate, and provide a refined digital FI composed entirely of computational analyses of home-cage video and compare it to manually obtained frailty scores in both C57BL/6 and genetically heterogeneous Diversity Outbred mice. We show that the frailty scores assigned by our digital index correlate with both manually obtained frailty scores and chronological age. Thus, we provide an automated tool for frailty assessment that can be collected reproducibly, at scale, without substantial labor cost.</description><identifier>ISSN: 1079-5006</identifier><identifier>EISSN: 1758-535X</identifier><identifier>DOI: 10.1093/gerona/glad035</identifier><identifier>PMID: 36708182</identifier><language>eng</language><publisher>US: Oxford University Press</publisher><subject>Aged ; Aging ; Animals ; Collaborative Cross Mice ; Frail Elderly ; Frailty ; Frailty - diagnosis ; Genetics ; Geriatric Assessment ; Gerontology ; Humans ; Indexes ; Mice ; Mice, Inbred C57BL ; Morbidity ; THE JOURNAL OF GERONTOLOGY: Biological Sciences ; Workplace diversity</subject><ispartof>The journals of gerontology. Series A, Biological sciences and medical sciences, 2023-05, Vol.78 (5), p.762-770</ispartof><rights>The Author(s) 2023. Published by Oxford University Press on behalf of The Gerontological Society of America. 2023</rights><rights>The Author(s) 2023. Published by Oxford University Press on behalf of The Gerontological Society of America.</rights><rights>Copyright Oxford University Press May 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c453t-c0758cf7ae8a4d21d1d5a8c1be2b9faf8faf7f3395a11995df25cbd1c235dc603</citedby><cites>FETCH-LOGICAL-c453t-c0758cf7ae8a4d21d1d5a8c1be2b9faf8faf7f3395a11995df25cbd1c235dc603</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,1578,27901,27902,33751</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36708182$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Anderson, Rozalyn M</contributor><creatorcontrib>Ruby, J Graham</creatorcontrib><creatorcontrib>Di Francesco, Andrea</creatorcontrib><creatorcontrib>Ylagan, Paulo</creatorcontrib><creatorcontrib>Luo, Angela</creatorcontrib><creatorcontrib>Keyser, Robert</creatorcontrib><creatorcontrib>Williams, Owen</creatorcontrib><creatorcontrib>Spock, Sarah</creatorcontrib><creatorcontrib>Li, Wenzhou</creatorcontrib><creatorcontrib>Vongtharangsy, Nalien</creatorcontrib><creatorcontrib>Chatterjee, Sandip</creatorcontrib><creatorcontrib>Sloan, Cricket A</creatorcontrib><creatorcontrib>Ledogar, Charles</creatorcontrib><creatorcontrib>Kuiper, Veronica</creatorcontrib><creatorcontrib>Kite, Janessa</creatorcontrib><creatorcontrib>Cosino, Marcelo</creatorcontrib><creatorcontrib>Cha, Paulyn</creatorcontrib><creatorcontrib>Karlsson, Eleanor M</creatorcontrib><title>An Automated, Home-Cage, Video Monitoring-based Mouse Frailty Index Detects Age-associated Morbidity in C57BL/6 and Diversity Outbred Mice</title><title>The journals of gerontology. Series A, Biological sciences and medical sciences</title><addtitle>J Gerontol A Biol Sci Med Sci</addtitle><description>Abstract
Frailty indexes (FIs) provide quantitative measurements of nonspecific health decline and are particularly useful as longitudinal monitors of morbidity in aging studies. For mouse studies, frailty assessments can be taken noninvasively, but they require handling and direct observation that is labor-intensive to the scientist and stress inducing to the animal. Here, we implement, evaluate, and provide a refined digital FI composed entirely of computational analyses of home-cage video and compare it to manually obtained frailty scores in both C57BL/6 and genetically heterogeneous Diversity Outbred mice. We show that the frailty scores assigned by our digital index correlate with both manually obtained frailty scores and chronological age. Thus, we provide an automated tool for frailty assessment that can be collected reproducibly, at scale, without substantial labor cost.</description><subject>Aged</subject><subject>Aging</subject><subject>Animals</subject><subject>Collaborative Cross Mice</subject><subject>Frail Elderly</subject><subject>Frailty</subject><subject>Frailty - diagnosis</subject><subject>Genetics</subject><subject>Geriatric Assessment</subject><subject>Gerontology</subject><subject>Humans</subject><subject>Indexes</subject><subject>Mice</subject><subject>Mice, Inbred C57BL</subject><subject>Morbidity</subject><subject>THE JOURNAL OF GERONTOLOGY: Biological Sciences</subject><subject>Workplace diversity</subject><issn>1079-5006</issn><issn>1758-535X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>TOX</sourceid><sourceid>EIF</sourceid><sourceid>BHHNA</sourceid><recordid>eNqFkc1u1DAUhSMEoj-wZYkssaFS0_FPPE5WaJhSWmlQN4DYWY59E1wl9tR2KvoMvATPwpPhaIYK2GDJsuX73aN7fIriBcFnBDds0UPwTi36QRnM-KPikAhel5zxL4_zHYum5BgvD4qjGG_wvDh9WhywpcA1qelh8X3l0GpKflQJzCm69COUa9XDKfpsDXj0wTubfLCuL1sVweSHKQK6CMoO6R5dOQPf0Dkk0CmiVQ-litFrO6tlNLTW2IxZ9_PHmou3m8USKWfQub2DEOfK9ZTaMLNWw7PiSaeGCM_353Hx6eLdx_Vlubl-f7VebUpdcZZKjbNF3QkFtaoMJYYYrmpNWqBt06muzlt0jDVcEdI03HSU69YQTRk3eonZcfFmp7ud2hGMBpeCGuQ22FGFe-mVlX9XnP0qe38nCSaCNoJnhdd7heBvJ4hJjjZqGAblIP-PpELgStQNYxl99Q9646fgsj9Ja1JxXDV0HulsR-ngYwzQPUxDsJyDlrug5T7o3PDyTw8P-O9kM3CyA_y0_Z_YL1eTtuc</recordid><startdate>20230511</startdate><enddate>20230511</enddate><creator>Ruby, J Graham</creator><creator>Di Francesco, Andrea</creator><creator>Ylagan, Paulo</creator><creator>Luo, Angela</creator><creator>Keyser, Robert</creator><creator>Williams, Owen</creator><creator>Spock, Sarah</creator><creator>Li, Wenzhou</creator><creator>Vongtharangsy, Nalien</creator><creator>Chatterjee, Sandip</creator><creator>Sloan, Cricket A</creator><creator>Ledogar, Charles</creator><creator>Kuiper, Veronica</creator><creator>Kite, Janessa</creator><creator>Cosino, Marcelo</creator><creator>Cha, Paulyn</creator><creator>Karlsson, Eleanor M</creator><general>Oxford University Press</general><scope>TOX</scope><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>7U3</scope><scope>BHHNA</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20230511</creationdate><title>An Automated, Home-Cage, Video Monitoring-based Mouse Frailty Index Detects Age-associated Morbidity in C57BL/6 and Diversity Outbred Mice</title><author>Ruby, J Graham ; Di Francesco, Andrea ; Ylagan, Paulo ; Luo, Angela ; Keyser, Robert ; Williams, Owen ; Spock, Sarah ; Li, Wenzhou ; Vongtharangsy, Nalien ; Chatterjee, Sandip ; Sloan, Cricket A ; Ledogar, Charles ; Kuiper, Veronica ; Kite, Janessa ; Cosino, Marcelo ; Cha, Paulyn ; Karlsson, Eleanor M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c453t-c0758cf7ae8a4d21d1d5a8c1be2b9faf8faf7f3395a11995df25cbd1c235dc603</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Aged</topic><topic>Aging</topic><topic>Animals</topic><topic>Collaborative Cross Mice</topic><topic>Frail Elderly</topic><topic>Frailty</topic><topic>Frailty - diagnosis</topic><topic>Genetics</topic><topic>Geriatric Assessment</topic><topic>Gerontology</topic><topic>Humans</topic><topic>Indexes</topic><topic>Mice</topic><topic>Mice, Inbred C57BL</topic><topic>Morbidity</topic><topic>THE JOURNAL OF GERONTOLOGY: Biological Sciences</topic><topic>Workplace diversity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ruby, J Graham</creatorcontrib><creatorcontrib>Di Francesco, Andrea</creatorcontrib><creatorcontrib>Ylagan, Paulo</creatorcontrib><creatorcontrib>Luo, Angela</creatorcontrib><creatorcontrib>Keyser, Robert</creatorcontrib><creatorcontrib>Williams, Owen</creatorcontrib><creatorcontrib>Spock, Sarah</creatorcontrib><creatorcontrib>Li, Wenzhou</creatorcontrib><creatorcontrib>Vongtharangsy, Nalien</creatorcontrib><creatorcontrib>Chatterjee, Sandip</creatorcontrib><creatorcontrib>Sloan, Cricket A</creatorcontrib><creatorcontrib>Ledogar, Charles</creatorcontrib><creatorcontrib>Kuiper, Veronica</creatorcontrib><creatorcontrib>Kite, Janessa</creatorcontrib><creatorcontrib>Cosino, Marcelo</creatorcontrib><creatorcontrib>Cha, Paulyn</creatorcontrib><creatorcontrib>Karlsson, Eleanor M</creatorcontrib><collection>Oxford Journals Open Access Collection</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Social Services Abstracts</collection><collection>Sociological Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>The journals of gerontology. 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Series A, Biological sciences and medical sciences</jtitle><addtitle>J Gerontol A Biol Sci Med Sci</addtitle><date>2023-05-11</date><risdate>2023</risdate><volume>78</volume><issue>5</issue><spage>762</spage><epage>770</epage><pages>762-770</pages><issn>1079-5006</issn><eissn>1758-535X</eissn><abstract>Abstract
Frailty indexes (FIs) provide quantitative measurements of nonspecific health decline and are particularly useful as longitudinal monitors of morbidity in aging studies. For mouse studies, frailty assessments can be taken noninvasively, but they require handling and direct observation that is labor-intensive to the scientist and stress inducing to the animal. Here, we implement, evaluate, and provide a refined digital FI composed entirely of computational analyses of home-cage video and compare it to manually obtained frailty scores in both C57BL/6 and genetically heterogeneous Diversity Outbred mice. We show that the frailty scores assigned by our digital index correlate with both manually obtained frailty scores and chronological age. Thus, we provide an automated tool for frailty assessment that can be collected reproducibly, at scale, without substantial labor cost.</abstract><cop>US</cop><pub>Oxford University Press</pub><pmid>36708182</pmid><doi>10.1093/gerona/glad035</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 1079-5006 |
| ispartof | The journals of gerontology. Series A, Biological sciences and medical sciences, 2023-05, Vol.78 (5), p.762-770 |
| issn | 1079-5006 1758-535X |
| language | eng |
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| source | Oxford University Press Journals All Titles (1996-Current); MEDLINE; Alma/SFX Local Collection; Sociological Abstracts |
| subjects | Aged Aging Animals Collaborative Cross Mice Frail Elderly Frailty Frailty - diagnosis Genetics Geriatric Assessment Gerontology Humans Indexes Mice Mice, Inbred C57BL Morbidity THE JOURNAL OF GERONTOLOGY: Biological Sciences Workplace diversity |
| title | An Automated, Home-Cage, Video Monitoring-based Mouse Frailty Index Detects Age-associated Morbidity in C57BL/6 and Diversity Outbred Mice |
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