TY - JOUR
T1 - Using blood test parameters to define biological age among older adults
T2 - association with morbidity and mortality independent of chronological age validated in two separate birth cohorts
AU - Drewelies, Johanna
AU - Hueluer, Gizem
AU - Duezel, Sandra
AU - Vetter, Valentin Max
AU - Pawelec, Graham
AU - Steinhagen-Thiessen, Elisabeth
AU - Wagner, Gert G.
AU - Lindenberger, Ulman
AU - Lill, Christina M.
AU - Bertram, Lars
AU - Gerstorf, Denis
AU - Demuth, Ilja
N1 - Funding Information:
This article reports data from the Berlin Aging Study (BASE) (www.base-berlin.mpg.de). The BASE was initiated by the late Paul B. Baltes, in collaboration with Hanfried Helmchen, psychiatry; Elisabeth Steinhagen-Thiessen, internal medicine and geriatrics; and Karl Ulrich Mayer, sociology (among the post-docs were Ulman Lindenberger and Gert G. Wagner). Further details about BASE-II can be obtained at https://www.base2.mpg.de/en.
Funding Information:
Open Access funding enabled and organized by Projekt DEAL. Financial support for the Berlin Aging Study came from the Max Planck Society; the Free University of Berlin; the German Federal Ministry for Research and Technology (1989–1991, 13 TA 011 & 13 TA 011/A); the German Federal Ministry for Family, Senior Citizens, Women, and Youth (1992–1998, 314–1722-102/9 & 314–1722-102/9a); and the Berlin-Brandenburg Academy of Sciences’ Research Group on Aging and Societal Development (1994–1999). This work also reports data from the BASE-II project, which was supported by the German Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF) under grant numbers #01UW0808; #16SV5536K, #16SV5537, #16SV5538, #16SV5837; #01GL1716A; and #01GL1716B. Another source of funding is the Max Planck Institute for Human Development, Berlin, Germany. Additional contributions (e.g., equipment, logistics, personnel) are made from each of the other participating sites. This work was supported by a grant of the Deutsche Forschungsgemeinschaft (grant number DE 842/7–1). C. M. L. was supported by a Heisenberg grant of the German Research Foundation (DFG) (LI 2654/4–1). Generation of DNA methylation data was supported by a grant from the Cure Alzheimer’s Fund (CAF) to L.B.
Publisher Copyright:
© 2022, The Author(s).
PY - 2022/12
Y1 - 2022/12
N2 - Biomarkers defining biological age are typically laborious or expensive to assess. Instead, in the current study, we identified parameters based on standard laboratory blood tests across metabolic, cardiovascular, inflammatory, and kidney functioning that had been assessed in the Berlin Aging Study (BASE) (n = 384) and Berlin Aging Study II (BASE-II) (n = 1517). We calculated biological age using those 12 parameters that individually predicted mortality hazards over 26 years in BASE. In BASE, older biological age was associated with more physician-observed morbidity and higher mortality hazards, over and above the effects of chronological age, sex, and education. Similarly, in BASE-II, biological age was associated with physician-observed morbidity and subjective health, over and above the effects of chronological age, sex, and education as well as alternative biomarkers including telomere length, DNA methylation age, skin age, and subjective age but not PhenoAge. We discuss the importance of biological age as one indicator of aging.
AB - Biomarkers defining biological age are typically laborious or expensive to assess. Instead, in the current study, we identified parameters based on standard laboratory blood tests across metabolic, cardiovascular, inflammatory, and kidney functioning that had been assessed in the Berlin Aging Study (BASE) (n = 384) and Berlin Aging Study II (BASE-II) (n = 1517). We calculated biological age using those 12 parameters that individually predicted mortality hazards over 26 years in BASE. In BASE, older biological age was associated with more physician-observed morbidity and higher mortality hazards, over and above the effects of chronological age, sex, and education. Similarly, in BASE-II, biological age was associated with physician-observed morbidity and subjective health, over and above the effects of chronological age, sex, and education as well as alternative biomarkers including telomere length, DNA methylation age, skin age, and subjective age but not PhenoAge. We discuss the importance of biological age as one indicator of aging.
UR - http://www.scopus.com/inward/record.url?scp=85138725550&partnerID=8YFLogxK
U2 - 10.1007/s11357-022-00662-9
DO - 10.1007/s11357-022-00662-9
M3 - Journal articles
C2 - 36151431
AN - SCOPUS:85138725550
SN - 2509-2715
VL - 44
SP - 2685
EP - 2699
JO - GeroScience
JF - GeroScience
IS - 6
ER -