GeroScience

Displaying 1 - 14 of 14
Miller, W. C., Yousefzadeh, M. J., Fisher, J., Sarumi, H., Kirchner, V., Niedernhofer, L. J., & Pruett, T. (2024). A brief report on biomarkers of cellular senescence associated with liver frailty and length of stay in liver transplantation. GeroScience. https://doi.org/10.1007/s11357-024-01482-9
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Clark, J. R., Batra, A., Tessier, R. A., Greathouse, K., Dickson, D., Ammar, A., Hamm, B., Rosenthal, L. J., Lombardo, T., Koralnik, I. J., Skolarus, L. E., Schroedl, C. J., Budinger, G. R. S., Wunderink, R. G., Dematte, J. E., Ungvari, Z., & Liotta, E. M. (2024). Impact of healthcare system strain on the implementation of ICU sedation practices and encephalopathy burden during the early COVID-19 pandemic. GeroScience. https://doi.org/10.1007/s11357-024-01336-4
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Eisenberg, D. T. A., Ryan, C. P., Lee, N. R., Carba, D. B., MacIsaac, J. L., Dever, K., Atashzay, P., Kobor, M. S., & Kuzawa, C. (2024). DNA methylation-based estimators of telomere length show low correspondence with paternal age at conception and other measures of external validity of telomere length. GeroScience, 46(4), 3957–3969. https://doi.org/10.1007/s11357-024-01114-2
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Min, S. H., Schnall, R., Lee, C., & Topaz, M. (2023). Examining racial differences in the network structure and properties of specific cognitive domains among older adults. GeroScience, 46(1), 1395–1406. https://doi.org/10.1007/s11357-023-00912-4
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Ungvari, Z., Tabák, A. G., Adany, R., Purebl, G., Kaposvári, C., Fazekas-Pongor, V., Csípő, T., Szarvas, Z., Horváth, K., Mukli, P., Balog, P., Bodizs, R., Ujma, P., Stauder, A., Belsky, D. W., Kovács, I., Yabluchanskiy, A., Maier, A. B., Moizs, M., … Merkely, B. (2023). The Semmelweis Study: a longitudinal occupational cohort study within the framework of the Semmelweis Caring University Model Program for supporting healthy aging. GeroScience, 46(1), 191–218. https://doi.org/10.1007/s11357-023-01018-7
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Kaeberlein, T. L., Green, A. S., Haddad, G., Hudson, J., Isman, A., Nyquist, A., Rosen, B. S., Suh, Y., Zalzala, S., Zhang, X., Blagosklonny, M. V., An, J. Y., & Kaeberlein, M. (2023). Evaluation of off-label rapamycin use to promote healthspan in 333 adults. GeroScience, 45(5), 2757–2768. https://doi.org/10.1007/s11357-023-00818-1
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Min, S. H., Topaz, M., Lee, C., & Schnall, R. (2023). Understanding changes in mental health symptoms from young-old to old-old adults by sex using multiple-group latent transition analysis. GeroScience, 45(3), 1791–1801. https://doi.org/10.1007/s11357-023-00729-1
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Shapiro, I., Belsky, D. W., Israel, S., Youssim, I., Friedlander, Y., & Hochner, H. (2022). Familial aggregation of the aging process: biological age measured in young adult offspring as a predictor of parental mortality. GeroScience, 45(2), 901–913. https://doi.org/10.1007/s11357-022-00687-0
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Casanova, R., Anderson, A. M., Barnard, R. T., Justice, J. N., Kucharska-Newton, A., Windham, B. G., Palta, P., Gottesman, R. F., Mosley, T. H., Hughes, T. M., Wagenknecht, L. E., & Kritchevsky, S. B. (2022). Is an MRI-derived anatomical measure of dementia risk also a measure of brain aging? GeroScience, 45(1), 439–450. https://doi.org/10.1007/s11357-022-00650-z
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Ding, J., Lohman, K., Molina, A., Delbono, O., Bertoni, A., Shea, S., Post, W., Guo, X., Barr, R. G., Manichaikul, A. W., Pankow, J. S., Rotter, J. I., Hoeschele, I., Kritchevsky, S. B., & Liu, Y. (2022). The association between aging-related monocyte transcriptional networks and comorbidity burden: the Multi-Ethnic Study of Atherosclerosis (MESA). GeroScience, 45(1), 197–207. https://doi.org/10.1007/s11357-022-00608-1
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Brinkley, T. E., Justice, J. N., Basu, S., Bauer, S. R., Loh, K. P., Mukli, P., Ng, T. K. S., Turney, I. C., Ferrucci, L., Cummings, S. R., & Kritchevsky, S. B. (2022). Research priorities for measuring biologic age: summary and future directions from the Research Centers Collaborative Network Workshop. GeroScience, 44(6), 2573–2583. https://doi.org/10.1007/s11357-022-00661-w
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Rajesh, M., Mukhopadhyay, P., Bátkai, S., Arif, M., Varga, Z. V., Mátyás, C., Paloczi, J., Lehocki, A., Haskó, G., & Pacher, P. (2022). Cannabinoid receptor 2 activation alleviates diabetes-induced cardiac dysfunction, inflammation, oxidative stress, and fibrosis. GeroScience, 44(3), 1727–1741. https://doi.org/10.1007/s11357-022-00565-9
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Tian, Y., Fopiano, K. A., Buncha, V., Lang, L., Rudic, R. D., Filosa, J. A., Dou, H., & Bagi, Z. (2021). Aging-induced impaired endothelial wall shear stress mechanosensing causes arterial remodeling via JAM-A/F11R shedding by ADAM17. GeroScience, 44(1), 349–369. https://doi.org/10.1007/s11357-021-00476-1
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Kwon, D., & Belsky, D. W. (2021). A toolkit for quantification of biological age from blood chemistry and organ function test data: BioAge. GeroScience, 43(6), 2795–2808. https://doi.org/10.1007/s11357-021-00480-5
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