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Edward G. Lakatta

Researcher at National Institutes of Health

Publications -  902
Citations -  95504

Edward G. Lakatta is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Blood pressure & Population. The author has an hindex of 146, co-authored 858 publications receiving 88637 citations. Previous affiliations of Edward G. Lakatta include University of Pittsburgh & University College London.

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Numerical models based on a minimal set of sarcolemmal electrogenic proteins and an intracellular Ca2+ clock generate robust, flexible, and energy-efficient cardiac pacemaking

TL;DR: Numerical models of a human biological pacemaker that features robust and flexible automaticity generated by a minimal set of electrogenic proteins and a Ca(2+)clock are identified and will provide a conceptual basis for a general theory of robust, flexible, and energy-efficient pacemaking based on realistic components.
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To help aging populations, classify organismal senescence.

TL;DR: A systematic and comprehensive approach to the classification and staging of organismal senescence and aging-related diseases at the organ and tissue levels is described in order to guide policy and practice and enable appropriate interventions and clinical guidance, systems, resources, and infrastructure.
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Comparison between alpha-adrenergic- and K-opioidergic-mediated inositol (1,4,5)P3/inositol (1,3,4,5) P4 formation in adult cultured rat ventricular cardiomyocytes.

TL;DR: In adult cultured rat ventricular cardiac myocytes, both the alpha-adrenergic agonist phenylephrine and the selective kappa opioid receptor ligand U-50, 488H affected phosphoinositide turnover.
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Disulfide bonds within the C2 domain of RAGE play key roles in its dimerization and biogenesis.

TL;DR: This is the first report of RAGE intermolecular disulfide bond-mediated RAGE dimerization in the ER, and it is found that RAGE forms dimer-based oligomers.
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Longitudinal Paths to the Metabolic Syndrome: Can the Incidence of the Metabolic Syndrome Be Predicted? The Baltimore Longitudinal Study of Aging

TL;DR: The patterns of MetS components and the longitudinal changes that lead to the MetS are different in men and women and components with the highest prevalence prior to MetS development, such as elevated blood pressure, are not necessarily the stronger risk factors.