'Liquid Biopsy' of White Matter Hyperintensity in Functionally Normal Elders

Autor: Fanny M. Elahi, Kaitlin B. Casaletto, Marie Altendahl, Adam M. Staffaroni, Evan Fletcher, Teresa J. Filshtein, Maria M. Glymour, Bruce L. Miller, Jason D. Hinman, Charles DeCarli, Edward J. Goetzl, Joel H. Kramer

Publikováno v: Frontiers in Aging Neuroscience, Vol 10 (2018)

Background and Objective: In the aging brain, increased blood-brain barrier (BBB) leakage and white matter hyperintensity (WMH) on MRI are frequently presumed secondary to cerebral small vessel disease (cSVD) or endotheliopathy. We investigate this a

Externí odkaz: https://doaj.org/article/8fa61f7297f64a1d8b17e5c516f5780d

Instrumental variable meta‐analysis of the effect of systolic blood pressure reduction on cognitive change: Evidence from randomized trials of antihypertensive therapies

Autor: Sarah F Ackley, Scott C Zimmerman, Meenakshi Pamula, Rachel L Peterson, Kristen M George, Rachel A Whitmer, Maria M Corrada, Tim M Hughes, Maria M Glymour

Publikováno v: Alzheimer's & Dementia. 17

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1ff1361c2b8b8f2634ec75598bb0333e
https://doi.org/10.1002/alz.056602

Contributors

Autor: Jacqueline L. Angel, Camila Arza, Lisa F. Berkman, Robert H. Binstock, J.Scott Brown, Andrea L. Campbell, Stephen J. Cutler, Dale Dannefer, Karen A. Ertel, Elizabeth Frankenberg, Vicki A. Freedman, Linda K. George, John Gist, Maria M. Glymour, Stephen M. Golant, Deborah T. Gold, Ishtar O. Govia, Jon Hendricks, Pamela Herd, Scott M. Hofer, James S. House, James S. Jackson, Martin Kohli, Scott M. Lynch, Linda G. Martin, Madonna Harrington Meyer, Marilyn Moon, Stipica Mudrazija, S.Jay Olshansky, Greg O’Neill, Wendy M. Parker, Virginia P. Reno, Sara E. Rix, Stephanie A. Robert, Michael J. Shanahan, Sherrill L. Sellers, Duncan Thomas, Ben Veghte, Joshua M. Wiener, John B. Williamson, Yang Yang

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d656dd276aa966f0da958a1d60520065
https://doi.org/10.1016/b978-0-12-380880-6.00027-7

Leveraging electronic health records and knowledge networks for Alzheimer's disease prediction and sex-specific biological insights.

Autor: Tang AS; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA. alice.tang@ucsf.edu.; Graduate Program in Bioengineering, University of California, San Francisco and University of California, Berkeley, San Francisco and Berkeley, CA, USA. alice.tang@ucsf.edu., Rankin KP; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.; Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA., Cerono G; Weill Institute for Neuroscience. Department of Neurology, University of California, San Francisco, San Francisco, CA, USA., Miramontes S; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA., Mills H; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA., Roger J; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA., Zeng B; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA., Nelson C; Weill Institute for Neuroscience. Department of Neurology, University of California, San Francisco, San Francisco, CA, USA., Soman K; Weill Institute for Neuroscience. Department of Neurology, University of California, San Francisco, San Francisco, CA, USA., Woldemariam S; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA., Li Y; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA., Lee A; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA., Bove R; Weill Institute for Neuroscience. Department of Neurology, University of California, San Francisco, San Francisco, CA, USA., Glymour M; Department of Anesthesiology, Pain, and Perioperative Medicine, Stanford University, Palo Alto, CA, USA., Aghaeepour N; Department of Anesthesiology, Pain, and Perioperative Medicine, Stanford University, Palo Alto, CA, USA.; Department of Pediatrics, Stanford University, Palo Alto, CA, USA.; Department of Biomedical Data Science, Stanford University, Palo Alto, CA, USA., Oskotsky TT; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA., Miller Z; Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA., Allen IE; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA., Sanders SJ; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.; Institute of Developmental and Regenerative Medicine, Department of Paediatrics, University of Oxford, Oxford, UK.; Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA., Baranzini S; Weill Institute for Neuroscience. Department of Neurology, University of California, San Francisco, San Francisco, CA, USA., Sirota M; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA. marina.sirota@ucsf.edu.; Department of Pediatrics, University of California, San Francisco, CA, USA. marina.sirota@ucsf.edu.

Publikováno v: Nature aging [Nat Aging] 2024 Mar; Vol. 4 (3), pp. 379-395. Date of Electronic Publication: 2024 Feb 21.

Influence of maternal age on birth and infant outcomes at 6 months: a cohort study with quantitative bias analysis.

Autor: Gebreegziabher E; Francis I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA.; Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA., Bountogo M; Centre de Recherche en Santé de Nouna, Nouna, Burkina Faso., Sié A; Centre de Recherche en Santé de Nouna, Nouna, Burkina Faso., Zakane A; Centre de Recherche en Santé de Nouna, Nouna, Burkina Faso., Compaoré G; Centre de Recherche en Santé de Nouna, Nouna, Burkina Faso., Ouedraogo T; Centre de Recherche en Santé de Nouna, Nouna, Burkina Faso., Lebas E; Francis I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA., Nyatigo F; Francis I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA., Glymour M; Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA., Arnold BF; Francis I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA.; Department of Ophthalmology, University of California, San Francisco, CA, USA., Lietman TM; Francis I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA.; Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA.; Department of Ophthalmology, University of California, San Francisco, CA, USA., Oldenburg CE; Francis I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA.; Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA.; Department of Ophthalmology, University of California, San Francisco, CA, USA.

Publikováno v: International journal of epidemiology [Int J Epidemiol] 2023 Apr 19; Vol. 52 (2), pp. 414-425.