RORichard F. Oppong

Richard F. Oppong

*This is an algorithmically generated author record based on publicly available information.

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Richard F. Oppong has a total of 39 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    Age‐Associated Increase in Growth Differentiation Factor 15 Levels Correlates With Central Arterial Stiffness and Predicts All‐Cause Mortality in a Sardinian Population Cohort

    by Richard Oppong, Valeria Orru, Michele Marongiu, Yong Qian, Carlo Sidore, Alessandro Delitala, Marco Orru, Antonella Mulas, Maria Grazia Piras, Christopher H. Morrell, et al.

    Background: Growth differentiation factor 15 (GDF‐15) levels are emerging as a candidate biomarker of aging. The present study aimed to: (1) characterize the association of GDF‐15 with the continuum of arterial stiffening, assessed as carotid‐femoral pulse wave velocity, as age increases; (2) determine the predictive role of serum GDF‐15 levels on mortality; and (3) identify genetic determinants of serum GDF‐15 levels. Methods and Results: Serum levels of GDF‐15 and established cardiovascular risk factors, including pulse wave velocity, were assessed in a large (4736 individual) Sardinian population. Serum levels of GDF‐15, which can be reliably measured repeatedly over time, increase with age; are associated with a stiffer aorta; “mediate” a large proportion of the age‐associated increase in arterial stiffness; pose risks because of their association with greater mortality; and are significantly associated with the variant rs11549407, which causes thalassemia major in homozygosity. Conclusions: Because of its consistent ability to predict functional and clinical outcomes, including all‐cause mortality, we conclude that GDF‐15 serum levels serve as a robust biomarker for the continuum from health to the emergence of clinical disease during aging and, subsequently, to the likelihood of mortality.


  • Open Access

    Personality traits are consistently associated with blood mitochondrial DNA copy number estimated from genome sequences in two genetic cohort studies

    by Richard F Oppong, Antonio Terracciano, Martin Picard, Yong Qian, Thomas J Butler, Toshiko Tanaka, Ann Zenobia Moore, Eleanor M Simonsick, Krista Opsahl-Ong, Christopher Coletta, et al.

    Background: Mitochondrial DNA copy number (mtDNAcn) in tissues and blood can be altered in conditions like diabetes and major depression and may play a role in aging and longevity. However, little is known about the association between mtDNAcn and personality traits linked to emotional states, metabolic health, and longevity. This study tests the hypothesis that blood mtDNAcn is related to personality traits and mediates the association between personality and mortality.Methods: We assessed the big five personality domains and facets using the Revised NEO Personality Inventory (NEO-PI-R), assessed depressive symptoms with the Center for Epidemiologic Studies Depression Scale (CES-D), estimated mtDNAcn levels from whole-genome sequencing, and tracked mortality in participants from the Baltimore Longitudinal Study of Aging. Results were replicated in the SardiNIA Project.Results: We found that mtDNAcn was negatively associated with the Neuroticism domain and its facets and positively associated with facets from the other four domains. The direction and size of the effects were replicated in the SardiNIA cohort and were robust to adjustment for potential confounders in both samples. Consistent with the Neuroticism finding, higher depressive symptoms were associated with lower mtDNAcn. Finally, mtDNAcn mediated the association between personality and mortality risk.Conclusions: To our knowledge, this is the first study to show a replicable association between mtDNAcn and personality. Furthermore, the results support our hypothesis that mtDNAcn is a biomarker of the biological process that explains part of the association between personality and mortality.Funding: Support for this work was provided by the Intramural Research Program of the National Institute on Aging (Z01-AG000693, Z01-AG000970, and Z01-AG000949) and the National Institute of Neurological Disorders and Stroke of the National Institutes of Health. AT was also supported by the National Institute on Aging of the National Institutes of Health Grant R01AG068093.


  • Open Access

    Personality traits are consistently associated with blood mitochondrial DNA copy number estimated from genome sequences in two genetic cohort studies

    by Richard F. Oppong, Antonio Terracciano, Martin Picard, Yong Qian, Thomas J. Butler, Toshiko Tanaka, Ann Zenobia Moore, Eleanor M. Simonsick, Krista Opsahl-Ong, Christopher Coletta, et al.

    Background: Mitochondrial DNA copy number (mtDNAcn) in tissues and blood can be altered in conditions like diabetes and major depression and may play a role in aging and longevity. However, little is known about the association between mtDNAcn and personality traits linked to emotional states, metabolic health, and longevity. This study tests the hypothesis that blood mtDNAcn is related to personality traits and mediates the association between personality and mortality. Methods: We assessed the big five personality domains and facets using the Revised NEO Personality Inventory (NEO-PI-R), assessed depressive symptoms with the Center for Epidemiologic Studies Depression Scale (CES-D), estimated mtDNAcn levels from whole-genome sequencing, and tracked mortality in participants from the Baltimore Longitudinal Study of Aging. Results were replicated in the SardiNIA Project. Results: We found that mtDNAcn was negatively associated with the Neuroticism domain and its facets and positively associated with facets from the other four domains. The direction and size of the effects were replicated in the SardiNIA cohort and were robust to adjustment for potential confounders in both samples. Consistent with the Neuroticism finding, higher depressive symptoms were associated with lower mtDNAcn. Finally, mtDNAcn mediated the association between personality and mortality risk. Conclusions: To our knowledge, this is the first study to show a replicable association between mtDNAcn and personality. Furthermore, the results support our hypothesis that mtDNAcn is a biomarker of the biological process that explains part of the association between personality and mortality.