@article{08004f97f0af4d6199a122c2918c2c96,
title = "Selection for depression-specific dementia cases with replication in two cohorts",
abstract = "The latent variable “δ” (for “dementia”) provides an etiologically “agnostic” omnibus dementia severity metric capable of recognizing the dementing potential of any condition. Depressive symptoms are independent predictors of δ and are thereby implicated as “dementing”. Serum resistin levels partially mediate the association between depressive symptoms and δ. We use a novel “off-diagonal” CHI SQ algorithm to demonstrate our ability to select individuals demented solely by depression{\textquoteright}s effect in both the Texas Alzheimer{\textquoteright}s Research and Care Consortium (TARCC) (N 3,500), and the Alzheimer{\textquoteright}s Disease Neuroimaging Initiative (ADNI (N 1,750), and demonstrate the higher resistin levels of such cases in TARCC. This approach can be adapted to any δ-related dementia risk factor or biomarker and used identify individuals who might revert back to non-demented states after its successful treatment.",
author = "{Alzheimer{\textquoteright}s Disease Neuroimaging Initiative (ADNI) and the Texas Alzheimer{\textquoteright}s Research and Care Consortium (TARCC)¶} and Royall, {Donald R.} and Palmer, {Raymond F.}",
note = "Funding Information: This analysis was funded by the Blue Skies of Texas comprehensive care retirement community (CCRC) through a grant from the Alzheimer{\textquoteright}s Care and Research Center Foundation (Freedom House). This project was supported in part by funding provided to the Texas Alzheimer{\textquoteright}s Research and Care Consortium by the Darrell K Royal Texas Alzheimer{\textquoteright}s Initiative, directed by the Texas Council on Alzheimer{\textquoteright}s Disease and Related Disorders. Dr. Royall is funded by USAMRAA GRANT11551963 to construct δ homologs for use in traumatic brain injury. Dr. Palmer has disclosed his co-invention of δ, its homologs and orthologs to UTHSCSA. Dr. Palmer is also funded by USAMRAA GRANT11551963. Some data used in preparation of this article were obtained from the ADNI database (adni.loni.usc.edu). ADNI had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. However, ADNI investigators contributed to the design and implementation of ADNI and/or provided data. A complete listing of ADNI investigators can be found at: http://adni.loni. usc.edu/wp-content/uploads/how_to_apply/ADNI_ Acknowledgement_List.pdf. Data collection and sharing for this project was funded by the Alzheimer{\textquoteright}s Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant U01 AG024904) and DOD ADNI (Department of Defense award number W81XWH-12-2-0012). Texas Alzheimer{\textquoteright}s Research and Care Consortium List of Investigators: Investigators from the Texas Alzheimer{\textquoteright}s Research and Care Consortium: Investigators from the Texas Alzheimer{\textquoteright}s Research and Care Consortium: Baylor College of Medicine: Valory Pavlik PhD, Paul Massman PhD, Eveleen Darby MA/MS, Monica Rodriguear MA, Aisha Khaleeq Ansari MD; Texas Tech University Health Sciences Center: John C. DeToledo MD, Hemachandra Reddy PhD, Henrick Wilms MD, PhD, Kim Johnson PhD, Victoria Perez; University of North Texas Health Science Center: Thomas Fairchild PhD, Janice Knebl DO, Sid E. O{\textquoteright}Bryant PhD, James R. Hall PhD, Leigh Johnson PhD, Robert C. Barber PhD, Douglas Mains DrPH, Lisa Alvarez; University of Texas Southwestern Medical Center: Munro Cullum PhD, Roger Rosenberg MD, Benjamin Williams MD, PhD, Mary Quiceno MD, Joan Reisch PhD, Linda S. Hynan PhD, Ryan Huebinger PhD, Janet Smith, Trung Nguyen MD, PhD; University of Texas Health Science Center–San Antonio: Donald Royall MD, Raymond Palmer PhD, Marsha Polk; Texas A&M University Health Science Center: Alan Stevens PhD, Marcia Ory PhD/MPH; University of Texas at Austin/Dell Medical School: David Paydarfar MD, John Bertelson MD, Martin Woon PhD, Gayle Ayres DO; Alyssa Aguirre LCSW; University of North Carolina: Kirk C. Wilhelmsen MD, PhD, Jeffrey L. Tilson PhD. ADNI is funded by the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering, and through generous contributions from the following: Abb-Vie, Alzheimer{\textquoteright}s Association; Alzheimer{\textquoteright}s Drug Discovery Foundation; Araclon Biotech; Bio-Clinica, Inc.; Biogen; Bristol-Myers Squibb Company; CereSpir, Inc.; Cogstate; Eisai Inc.; Elan Pharmaceuticals, Inc.; Eli Lilly and Company; EuroImmun; F. Hoffmann-La Roche Ltd and its affiliated company Genentech, Inc.; Fujirebio; GE Healthcare; IXICO Ltd.; Janssen Alzheimer Immunotherapy Research & Development, LLC.; Johnson & Johnson Pharmaceutical Research & Development LLC.; Lumosity; Lundbeck; Merck & Co., Inc.; Meso Scale Diagnostics, LLC.; NeuroRx Research; Neurotrack Technologies; Novartis Pharmaceuticals Corporation; Pfizer Inc.; Piramal Imaging; Servier; Takeda Pharmaceutical Company; and Transition Therapeutics. The Canadian Institutes of Health Research is providing funds to support ADNI clinical sites in Canada. Private sector contributions are facilitated by the Foundation for the National Institutes of Health (www.fnih.org). The grantee organization is the Northern California Institute for Research and Education, and the study is coordinated by the Alzheimer{\textquoteright}s Therapeutic Research Institute at the University of Southern California. ADNI data are disseminated by the Laboratory for Neuro Imaging at the University of Southern California. Publisher Copyright: {\textcopyright} 2019 Royall et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.",
year = "2019",
month = may,
doi = "10.1371/journal.pone.0216413",
language = "English (US)",
volume = "14",
journal = "PLoS One",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "5",
}