Panza F, Lozupone M, Solfrizzi V, Sardone R, Dibello V, Di Lena L, et al. Different cognitive frailty models and health- and cognitive-related outcomes in older age: from epidemiology to prevention. J Alzheimers Dis. 2018;62(3):993–1012.
Article PubMed PubMed Central Google Scholar
Kelaiditi E, Cesari M, Canevelli M, van Kan GA, Ousset PJ, Gillette-Guyonnet S, et al. Cognitive frailty: rational and definition from an (I.A.N.A./I.A.G.G.) international consensus group. J Nutr Health Aging. 2013;17(9):726–34.
Nader MM, Cosarderelioglu C, Miao E, Whitson H, Xue Q-L, Grodstein F, et al. Navigating and diagnosing cognitive frailty in research and clinical domains. Nat Aging. 2023;3(11):1325–33.
Article PubMed PubMed Central Google Scholar
Sargent L, Nalls M, Amella EJ, Slattum PW, Mueller M, Bandinelli S, et al. Shared mechanisms for cognitive impairment and physical frailty: a model for complex systems. Alzheimers Dement (N Y). 2020;6(1):e12027. https://doi.org/10.1002/trc2.
Zhou H, Park C, Shahbazi M, York MK, Kunik ME, Naik AD, et al. Digital biomarkers of cognitive frailty: the value of detailed gait assessment beyond gait speed. Gerontology. 2022;68(2):224–33.
Article PubMed CAS Google Scholar
Ruan Q, Yu Z, Chen M, Bao Z, Li J, He W. Cognitive frailty, a novel target for the prevention of elderly dependency. Ageing Res Rev. 2015;20:1–10.
Inglés M, Gambini J, Mas-Bargues C, García-García FJ, Viña J, Borrás C. Brain-derived neurotrophic factor as a marker of cognitive frailty. J Gerontol A Biol Sci Med Sci. 2017;72(3):450–1.
MalekRivan NF, Shahar S, Rajab NF, Singh DKA, Din NC, Hazlina M, et al. Cognitive frailty among Malaysian older adults: baseline findings from the LRGS TUA cohort study. Clin Interv Aging. 2019;14:1343–52.
Valdiglesias V, Sánchez-Flores M, Marcos-Pérez D, Lorenzo-López L, Maseda A, Millán-Calenti JC, et al. Exploring genetic outcomes as frailty biomarkers. J Gerontol A Biol Sci Med Sci. 2019;74(2):168–75.
Article PubMed CAS Google Scholar
Kameda M, Teruya T, Yanagida M, Kondoh H. Frailty markers comprise blood metabolites involved in antioxidation, cognition, and mobility. Proc Natl Acad Sci U S A. 2020;117(17):9483–9.
Article PubMed PubMed Central CAS Google Scholar
Park J, Kim WJ. Potential imaging biomarkers of cognitive frailty. Ann Geriatr Med Res. 2023;27(1):3–8.
Dato S, Crocco P, Iannone F, Passarino G, Rose G. Biomarkers of frailty: miRNAs as common signatures of impairment in cognitive and physical domains. Biology (Basel). 2022;11(8).
Tambor V, Fučíková A, Lenco J, Kacerovský M, Řeháček V, Stulík J, et al. 59. Physiol Res. 2010;4:471–97.
Landino K, Tanaka T, Fantoni G, Candia J, Bandinelli S, Ferrucci L. Characterization of the plasma proteomic profile of frailty phenotype. GeroScience. 2021;43:1029–37.
Article PubMed CAS Google Scholar
Perry AS, Zhao S, Gajjar P, Murthy VL, Lehallier B, Miller P, et al. Proteomic architecture of frailty across the spectrum of cardiovascular disease. Aging Cell. 2023;22(11):e13978. https://doi.org/10.1111/acel.
Article PubMed PubMed Central CAS Google Scholar
Sathyan S, Ayers E, Gao T, Milman S, Barzilai N, Verghese J. Plasma proteomic profile of frailty. Aging Cell. 2020;19(9):e13193. https://doi.org/10.1111/acel.
Article PubMed PubMed Central CAS Google Scholar
Liu F, Austin TR, Schrack JA, Chen J, Walston J, Mathias RA, et al. Late-life plasma proteins associated with prevalent and incident frailty: a proteomic analysis. Aging Cell. 2023;22(11):e13975. https://doi.org/10.1111/acel.
Article PubMed PubMed Central CAS Google Scholar
Alex D, Khor HM, Chin AV, Hairi NN, Othman S, Khoo SPK, et al. Cross-sectional analysis of ethnic differences in fall prevalence in urban dwellers aged 55 years and over in the Malaysian Elders Longitudinal Research study. BMJ Open. 2018;8(7):e019579.
Article PubMed PubMed Central Google Scholar
Ong JYQ, Mat S, Kioh SH, Hasmuk K, Saedon N, Mahadzir H, et al. Cognitive frailty and 5-year adverse health-related outcomes for the Malaysian elders longitudinal research (MELoR) study. Eur Geriatr Med. 2022;13(6):1309–16.
Alex D, Khor HM, Chin AV, Hairi NN, Cumming RG, Othman S, et al. Factors associated with falls among urban-dwellers aged 55 years and over in the Malaysian Elders Longitudinal Research (MELoR) Study. Front Public Health. 2020;8:506238. https://doi.org/10.3389/fpubh.2020.
Article PubMed PubMed Central Google Scholar
Fried LP, Tangen CM, Walston J, Newman AB, Hirsch C, Gottdiener J, et al. Frailty in older adults: evidence for a phenotype. J Gerontol A Biol Sci Med Sci. 2001;56(3):M146–56.
Article PubMed CAS Google Scholar
Raajendiran A, Krisp C, Souza DP, Ooi G, Burton PR, Taylor RA, et al. Proteome analysis of human adipocytes identifies depot-specific heterogeneity at metabolic control points. Am J Physiol Endocrinol Metab. 2021;320(6):E1068–84.
Article PubMed CAS Google Scholar
Chan YH. Biostatistics 104: correlational analysis. Singapore Med J. 2003;44(12):614–9.
Fluss R, Faraggi D, Reiser B. Estimation of the Youden Index and its associated cutoff point. Biom J. 2005;47(4):458–72.
Çorbacıoğlu ŞK, Aksel G. Receiver operating characteristic curve analysis in diagnostic accuracy studies: a guide to interpreting the area under the curve value. Turk J Emerg Med. 2023;23:195–8.
Article PubMed PubMed Central Google Scholar
Mehta K, Mohebbi M, Pasco JA, Williams LJ, Sui SX, Walder K, et al. A plasma protein signature associated with cognitive function in men without severe cognitive impairment. Alzheimers Res Ther. 2023;15(1):148. https://doi.org/10.1186/s13195-023-01294-7.
Article PubMed PubMed Central CAS Google Scholar
Song F, Poljak A, Kochan NA, Raftery M, Brodaty H, Smythe GA, et al. Plasma protein profiling of mild cognitive impairment and Alzheimer’s disease using iTRAQ quantitative proteomics. Proteome Sci. 2014;12(1):5. https://doi.org/10.1186/477-5956-12-5.
Article PubMed PubMed Central Google Scholar
Lin CH, Liao CC, Huang CH, Tung YT, Chang HC, Hsu MC, et al. Proteomics analysis to identify and characterize the biomarkers and physical activities of non-frail and frail older adults. Int J Med Sci. 2017;14(3):231–9.
Article PubMed PubMed Central CAS Google Scholar
Tanaka T, Lavery R, Varma V, Fantoni G, Colpo M, Thambisetty M, et al. Plasma proteomic signatures predict dementia and cognitive impairment. Alzheimers Dement (N Y). 2020;6(1):e12018. https://doi.org/10.1002/trc2.
Mitchell A, Malmgren L, Bartosch P, McGuigan FE, Akesson KE. Pro-Inflammatory proteins associated with frailty and its progression-a longitudinal study in community-dwelling women. J Bone Miner Res. 2023;38(8):1076–91.
Article PubMed CAS Google Scholar
Petrera A, von Toerne C, Behler J, Huth C, Thorand B, Hilgendorff A, et al. Multiplatform approach for plasma proteomics: complementarity of Olink Proximity Extension Assay Technology to Mass Spectrometry-based protein profiling. J Proteome Res. 2021;20(1):751–62.
Article PubMed CAS Google Scholar
Katz DH, Robbins JM, Deng S, Tahir UA, Bick AG, Pampana A, et al. Proteomic profiling platforms head to head: leveraging genetics and clinical traits to compare aptamer- and antibody-based methods. Sci Adv. 2022;8(33):eabm5164. https://doi.org/10.1126/sciadv.abm5164.
Clark C, Gholam M, Zullo L, Kerksiek A, Castelao E, von Gunten A, et al. Plant sterols and cholesterol metabolism are associated with five-year cognitive decline in the elderly population. iScience. 2023;26(6):106740. https://doi.org/10.1016/j.isci.2023.
Article PubMed PubMed Central Google Scholar
Zhang Q, Huang S, Cao Y, Dong G, Chen Y, Zhu X, et al. Remnant cholesterol and mild cognitive impairment: a cross-sectional study. Front Aging Neurosci. 2023;15:1069076. https://doi.org/10.3389/fnagi.2023.
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