Academic Journal

Frailty Assessment in an Aging Mouse Model.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Frailty Assessment in an Aging Mouse Model.
Συγγραφείς: Crum BA; Dept. of Anesthesiology & Perioperative Medicine, Mayo Clinic., Gransee HM; Dept. of Anesthesiology & Perioperative Medicine, Mayo Clinic., Mantilla CB; Dept. of Anesthesiology & Perioperative Medicine, Mayo Clinic; Dept. of Physiology & Biomedical Engineering, Mayo Clinic; mantilla.carlos@mayo.edu.
Πηγή: Journal of visualized experiments : JoVE [J Vis Exp] 2025 Sep 23 (223). Date of Electronic Publication: 2025 Sep 23.
Τύπος έκδοσης: Journal Article; Video-Audio Media; Research Support, N.I.H., Extramural
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: MYJoVE Corporation Country of Publication: United States NLM ID: 101313252 Publication Model: Electronic Cited Medium: Internet ISSN: 1940-087X (Electronic) Linking ISSN: 1940087X NLM ISO Abbreviation: J Vis Exp Subsets: MEDLINE
Imprint Name(s): Original Publication: [Boston, Mass. : MYJoVE Corporation, 2006]-
Ιατρικοί όροι (MeSH): Aging*/physiology , Aging*/pathology , Frailty*/physiopathology , Frailty*/diagnosis , Models, Animal*, Animals ; Mice ; Mice, Inbred C57BL ; Female ; Male ; Disease Models, Animal
Περίληψη: A frailty index (FI) is a powerful method of assessing animal models of aging, serving as a proxy measure of biologic age and health span. Frailty represents a state of increased vulnerability to adverse outcomes due to the accumulation of health deficits that limit independence. The concept is valuable for animal studies that inform human geroscience. For example, using FI scores, animals with a similar chronological age can be differentiated by their biological age. Thus, FI can be used in preclinical studies to measure biological age, track frailty longitudinally, and assess health span. A murine frailty index was recently developed using 31 health-related deficits. However, its length and requirement for specialized equipment pose limitations in practical use. Here, we present an adapted 16 item frailty index that excludes parameters requiring special instrumentation or invasive testing. The selected deficits are easily observable or measurable and evaluate integument, musculoskeletal, neuromuscular, sensory, urogenital, and respiratory systems. Body weight is measured for longitudinal tracking but excluded from the FI calculation. Each deficit is scored as 0, 0.5, or 1, based on severity, with the FI computed as the mean of the 16 deficit scores. This streamlined FI allows rapid assessment of large cohorts, can be applied longitudinally to the same animals, and requires no specialized equipment. We demonstrate its feasibility in C57BL/6×129 mice, showing age-associated increases in frailty, variation among individual mice, and the ability to detect deficits across multiple systems. This tool enables laboratories to incorporate frailty into diverse experimental designs, provides a practical approach for assessing health span, and enhances translational relevance in geroscience. This frailty index is adapted from previously validated mouse clinical frailty methodologies and is intended for straightforward, longitudinal use alongside ongoing studies.
References: J Gerontol A Biol Sci Med Sci. 2020 Mar 9;75(4):640-646. (PMID: 30958526)
Clin Exp Pharmacol Physiol. 2007 Nov;34(11):1091-6. (PMID: 17880359)
Gerontology. 2019;65(6):610-619. (PMID: 31330523)
Orthopedics. 2019 Nov 1;42(6):335-343. (PMID: 31408522)
J Am Med Dir Assoc. 2011 May;12(4):249-56. (PMID: 21527165)
Mech Ageing Dev. 2020 Apr;187:111217. (PMID: 32088282)
Front Endocrinol (Lausanne). 2020 May 21;11:332. (PMID: 32508753)
J Gerontol A Biol Sci Med Sci. 2006 Mar;61(3):262-6. (PMID: 16567375)
Can J Physiol Pharmacol. 2017 Oct;95(10):1149-1155. (PMID: 28463656)
J Gerontol A Biol Sci Med Sci. 2012 Mar;67(3):217-27. (PMID: 22021390)
Neurobiol Aging. 2011 Oct;32(10):1868-80. (PMID: 20005598)
Physiol Rep. 2020 Jan;8(1):e14305. (PMID: 31908152)
J Gerontol A Biol Sci Med Sci. 2015 Jun;70(6):686-93. (PMID: 25205762)
J Gerontol A Biol Sci Med Sci. 2014 Jun;69(6):621-32. (PMID: 24051346)
Lab Anim Sci. 1999 Jun;49(3):319-23. (PMID: 10403450)
Nat Rev Neurosci. 2009 Jul;10(7):519-29. (PMID: 19513088)
J Am Assoc Lab Anim Sci. 2021 Nov 1;60(6):692-699. (PMID: 34749842)
J Gerontol A Biol Sci Med Sci. 2014 Dec;69(12):1485-91. (PMID: 24336799)
Physiology (Bethesda). 2020 Nov 1;35(6):405-414. (PMID: 33052773)
J Am Med Dir Assoc. 2008 Feb;9(2):71-2. (PMID: 18261696)
Ageing Res Rev. 2010 Oct;9(4):369-83. (PMID: 20438881)
ScientificWorldJournal. 2001 Aug 08;1:323-36. (PMID: 12806071)
J Arthroplasty. 2019 Jan;34(1):56-64.e5. (PMID: 30340916)
J Gerontol A Biol Sci Med Sci. 2018 Jul 9;73(8):1036-1044. (PMID: 29415252)
J Gerontol A Biol Sci Med Sci. 2007 Jul;62(7):722-7. (PMID: 17634318)
Interdiscip Top Gerontol. 2015;40:85-98. (PMID: 25341515)
J Gerontol A Biol Sci Med Sci. 2001 Mar;56(3):M146-56. (PMID: 11253156)
J Nutr Health Aging. 2008 Jan;12(1):29-37. (PMID: 18165842)
Aging (Albany NY). 2018 Dec 18;10(12):4042-4053. (PMID: 30562163)
J Gerontol A Biol Sci Med Sci. 2015 Jun;70(6):694-5. (PMID: 25838548)
Grant Information: R01 AG057052 United States AG NIA NIH HHS
Entry Date(s): Date Created: 20251013 Date Completed: 20251013 Latest Revision: 20260813
Update Code: 20260813
PubMed Central ID: PMC12915116
DOI: 10.3791/69076
PMID: 41082501
Βάση Δεδομένων: MEDLINE
FullText Text:
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PubType: Academic Journal
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  Data: Frailty Assessment in an Aging Mouse Model.
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  Data: <searchLink fieldCode="AU" term="%22Crum+BA%22">Crum BA</searchLink>; Dept. of Anesthesiology & Perioperative Medicine, Mayo Clinic.<br /><searchLink fieldCode="AU" term="%22Gransee+HM%22">Gransee HM</searchLink>; Dept. of Anesthesiology & Perioperative Medicine, Mayo Clinic.<br /><searchLink fieldCode="AU" term="%22Mantilla+CB%22">Mantilla CB</searchLink>; Dept. of Anesthesiology & Perioperative Medicine, Mayo Clinic; Dept. of Physiology & Biomedical Engineering, Mayo Clinic; mantilla.carlos@mayo.edu.
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  Data: <searchLink fieldCode="JN" term="%22101313252%22">Journal of visualized experiments : JoVE</searchLink> [J Vis Exp] 2025 Sep 23 (223). <i>Date of Electronic Publication: </i>2025 Sep 23.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22MYJoVE+Corporation%22">MYJoVE Corporation </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101313252 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1940-087X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221940087X%22">1940087X </searchLink><i>NLM ISO Abbreviation: </i>J Vis Exp <i>Subsets: </i>MEDLINE
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  Data: <searchLink fieldCode="MM" term="%22Aging%22">Aging*</searchLink>/<searchLink fieldCode="MM" term="%22Aging+physiology%22">physiology</searchLink> <br /><searchLink fieldCode="MM" term="%22Aging%22">Aging*</searchLink>/<searchLink fieldCode="MM" term="%22Aging+pathology%22">pathology</searchLink> <br /><searchLink fieldCode="MM" term="%22Frailty%22">Frailty*</searchLink>/<searchLink fieldCode="MM" term="%22Frailty+physiopathology%22">physiopathology</searchLink> <br /><searchLink fieldCode="MM" term="%22Frailty%22">Frailty*</searchLink>/<searchLink fieldCode="MM" term="%22Frailty+diagnosis%22">diagnosis</searchLink> <br /><searchLink fieldCode="MM" term="%22Models%2C+Animal%22">Models, Animal*</searchLink><br /><searchLink fieldCode="MH" term="%22Animals%22">Animals</searchLink> ; <searchLink fieldCode="MH" term="%22Mice%22">Mice</searchLink> ; <searchLink fieldCode="MH" term="%22Mice%2C+Inbred+C57BL%22">Mice, Inbred C57BL</searchLink> ; <searchLink fieldCode="MH" term="%22Female%22">Female</searchLink> ; <searchLink fieldCode="MH" term="%22Male%22">Male</searchLink> ; <searchLink fieldCode="MH" term="%22Disease+Models%2C+Animal%22">Disease Models, Animal</searchLink>
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  Data: A frailty index (FI) is a powerful method of assessing animal models of aging, serving as a proxy measure of biologic age and health span. Frailty represents a state of increased vulnerability to adverse outcomes due to the accumulation of health deficits that limit independence. The concept is valuable for animal studies that inform human geroscience. For example, using FI scores, animals with a similar chronological age can be differentiated by their biological age. Thus, FI can be used in preclinical studies to measure biological age, track frailty longitudinally, and assess health span. A murine frailty index was recently developed using 31 health-related deficits. However, its length and requirement for specialized equipment pose limitations in practical use. Here, we present an adapted 16 item frailty index that excludes parameters requiring special instrumentation or invasive testing. The selected deficits are easily observable or measurable and evaluate integument, musculoskeletal, neuromuscular, sensory, urogenital, and respiratory systems. Body weight is measured for longitudinal tracking but excluded from the FI calculation. Each deficit is scored as 0, 0.5, or 1, based on severity, with the FI computed as the mean of the 16 deficit scores. This streamlined FI allows rapid assessment of large cohorts, can be applied longitudinally to the same animals, and requires no specialized equipment. We demonstrate its feasibility in C57BL/6×129 mice, showing age-associated increases in frailty, variation among individual mice, and the ability to detect deficits across multiple systems. This tool enables laboratories to incorporate frailty into diverse experimental designs, provides a practical approach for assessing health span, and enhances translational relevance in geroscience. This frailty index is adapted from previously validated mouse clinical frailty methodologies and is intended for straightforward, longitudinal use alongside ongoing studies.
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  Data: J Gerontol A Biol Sci Med Sci. 2020 Mar 9;75(4):640-646. (PMID: <searchLink fieldCode="PM" term="%2230958526%22">30958526)</searchLink><br />Clin Exp Pharmacol Physiol. 2007 Nov;34(11):1091-6. (PMID: <searchLink fieldCode="PM" term="%2217880359%22">17880359)</searchLink><br />Gerontology. 2019;65(6):610-619. (PMID: <searchLink fieldCode="PM" term="%2231330523%22">31330523)</searchLink><br />Orthopedics. 2019 Nov 1;42(6):335-343. (PMID: <searchLink fieldCode="PM" term="%2231408522%22">31408522)</searchLink><br />J Am Med Dir Assoc. 2011 May;12(4):249-56. (PMID: <searchLink fieldCode="PM" term="%2221527165%22">21527165)</searchLink><br />Mech Ageing Dev. 2020 Apr;187:111217. (PMID: <searchLink fieldCode="PM" term="%2232088282%22">32088282)</searchLink><br />Front Endocrinol (Lausanne). 2020 May 21;11:332. (PMID: <searchLink fieldCode="PM" term="%2232508753%22">32508753)</searchLink><br />J Gerontol A Biol Sci Med Sci. 2006 Mar;61(3):262-6. (PMID: <searchLink fieldCode="PM" term="%2216567375%22">16567375)</searchLink><br />Can J Physiol Pharmacol. 2017 Oct;95(10):1149-1155. (PMID: <searchLink fieldCode="PM" term="%2228463656%22">28463656)</searchLink><br />J Gerontol A Biol Sci Med Sci. 2012 Mar;67(3):217-27. (PMID: <searchLink fieldCode="PM" term="%2222021390%22">22021390)</searchLink><br />Neurobiol Aging. 2011 Oct;32(10):1868-80. (PMID: <searchLink fieldCode="PM" term="%2220005598%22">20005598)</searchLink><br />Physiol Rep. 2020 Jan;8(1):e14305. (PMID: <searchLink fieldCode="PM" term="%2231908152%22">31908152)</searchLink><br />J Gerontol A Biol Sci Med Sci. 2015 Jun;70(6):686-93. (PMID: <searchLink fieldCode="PM" term="%2225205762%22">25205762)</searchLink><br />J Gerontol A Biol Sci Med Sci. 2014 Jun;69(6):621-32. (PMID: <searchLink fieldCode="PM" term="%2224051346%22">24051346)</searchLink><br />Lab Anim Sci. 1999 Jun;49(3):319-23. (PMID: <searchLink fieldCode="PM" term="%2210403450%22">10403450)</searchLink><br />Nat Rev Neurosci. 2009 Jul;10(7):519-29. (PMID: <searchLink fieldCode="PM" term="%2219513088%22">19513088)</searchLink><br />J Am Assoc Lab Anim Sci. 2021 Nov 1;60(6):692-699. (PMID: <searchLink fieldCode="PM" term="%2234749842%22">34749842)</searchLink><br />J Gerontol A Biol Sci Med Sci. 2014 Dec;69(12):1485-91. (PMID: <searchLink fieldCode="PM" term="%2224336799%22">24336799)</searchLink><br />Physiology (Bethesda). 2020 Nov 1;35(6):405-414. (PMID: <searchLink fieldCode="PM" term="%2233052773%22">33052773)</searchLink><br />J Am Med Dir Assoc. 2008 Feb;9(2):71-2. (PMID: <searchLink fieldCode="PM" term="%2218261696%22">18261696)</searchLink><br />Ageing Res Rev. 2010 Oct;9(4):369-83. (PMID: <searchLink fieldCode="PM" term="%2220438881%22">20438881)</searchLink><br />ScientificWorldJournal. 2001 Aug 08;1:323-36. (PMID: <searchLink fieldCode="PM" term="%2212806071%22">12806071)</searchLink><br />J Arthroplasty. 2019 Jan;34(1):56-64.e5. (PMID: <searchLink fieldCode="PM" term="%2230340916%22">30340916)</searchLink><br />J Gerontol A Biol Sci Med Sci. 2018 Jul 9;73(8):1036-1044. (PMID: <searchLink fieldCode="PM" term="%2229415252%22">29415252)</searchLink><br />J Gerontol A Biol Sci Med Sci. 2007 Jul;62(7):722-7. (PMID: <searchLink fieldCode="PM" term="%2217634318%22">17634318)</searchLink><br />Interdiscip Top Gerontol. 2015;40:85-98. (PMID: <searchLink fieldCode="PM" term="%2225341515%22">25341515)</searchLink><br />J Gerontol A Biol Sci Med Sci. 2001 Mar;56(3):M146-56. (PMID: <searchLink fieldCode="PM" term="%2211253156%22">11253156)</searchLink><br />J Nutr Health Aging. 2008 Jan;12(1):29-37. (PMID: <searchLink fieldCode="PM" term="%2218165842%22">18165842)</searchLink><br />Aging (Albany NY). 2018 Dec 18;10(12):4042-4053. (PMID: <searchLink fieldCode="PM" term="%2230562163%22">30562163)</searchLink><br />J Gerontol A Biol Sci Med Sci. 2015 Jun;70(6):694-5. (PMID: <searchLink fieldCode="PM" term="%2225838548%22">25838548)</searchLink>
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      – SubjectFull: Disease Models, Animal
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      – SubjectFull: Aging physiology
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      – SubjectFull: Frailty physiopathology
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              Text: 2025 Sep 23
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