Leslie M. Shaw

ORCID: 0000-0002-7650-1210
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About
Contact & Profiles
Research Areas
  • Alzheimer's disease research and treatments
  • Dementia and Cognitive Impairment Research
  • Functional Brain Connectivity Studies
  • Parkinson's Disease Mechanisms and Treatments
  • Advanced Neuroimaging Techniques and Applications
  • Renal Transplantation Outcomes and Treatments
  • Health, Environment, Cognitive Aging
  • Neurological Disease Mechanisms and Treatments
  • Amyotrophic Lateral Sclerosis Research
  • Bioinformatics and Genomic Networks
  • Metabolomics and Mass Spectrometry Studies
  • Neuroinflammation and Neurodegeneration Mechanisms
  • S100 Proteins and Annexins
  • Folate and B Vitamins Research
  • Pharmacological Effects and Toxicity Studies
  • Antibiotics Pharmacokinetics and Efficacy
  • HIV/AIDS drug development and treatment
  • Health Systems, Economic Evaluations, Quality of Life
  • Neurological disorders and treatments
  • Cell Adhesion Molecules Research
  • Traumatic Brain Injury and Neurovascular Disturbances
  • Hematopoietic Stem Cell Transplantation
  • Statistical Methods in Clinical Trials
  • Genetic Associations and Epidemiology
  • Tryptophan and brain disorders

University of Pennsylvania
2016-2025

California University of Pennsylvania
2017-2025

Northwestern University
2015-2024

Inha University
2024

University of Alabama at Birmingham
2024

Institute for Neurodegenerative Disorders
2010-2024

Philadelphia University
2013-2024

Alzheimer’s Disease Neuroimaging Initiative
2021-2024

Indiana University – Purdue University Indianapolis
2010-2024

University of Iowa
2017-2024

Abstract Objective Develop a cerebrospinal fluid biomarker signature for mild Alzheimer's disease (AD) in Disease Neuroimaging Initiative (ADNI) subjects. Methods Amyloid‐β 1 to 42 peptide (Aβ 1–42 ), total tau (t‐tau), and phosphorylated at the threonine 181 were measured (1) (CSF) samples obtained during baseline evaluation of 100 AD, 196 cognitive impairment, 114 elderly cognitively normal (NC) subjects ADNI; (2) independent 56 autopsy‐confirmed AD cases 52 age‐matched NCs using multiplex...

10.1002/ana.21610 article EN Annals of Neurology 2009-03-19

<b>Background:</b> Neuroimaging measures and chemical biomarkers may be important indices of clinical progression in normal aging mild cognitive impairment (MCI) need to evaluated longitudinally. <b>Objective:</b> To characterize cross-sectionally longitudinally controls, subjects with MCI, Alzheimer disease (AD) enable the assessment utility neuroimaging biomarker measures. <b>Methods:</b> A total 819 (229 cognitively normal, 398 192 AD) were enrolled at baseline followed for 12 months...

10.1212/wnl.0b013e3181cb3e25 article EN Neurology 2009-12-31
Yasser Iturria‐Medina Roberto C. Sotero P.-J. Toussaint J.M. Mateos-Pérez Alan C. Evans and 95 more Michael W. Weiner Paul Aisen Ronald C. Petersen Clifford R. Jack William J. Jagust John Q. Trojanowki Arthur W. Toga Laurel Beckett Robert C. Green Andrew J. Saykin John C. Morris Leslie M. Shaw Zaven S. Khachaturian Greg Sorensen Lew Kuller Marc Raichle Steven M. Paul Peter Davies Howard Fillit Franz Hefti Davie Holtzman M. Marcel Mesulam William Z. Potter Peter J. Snyder Adam J. Schwartz Tom Montine Ronald G. Thomas Michael Donohue Sarah Walter Devon Gessert Tamie Sather Gus Jiminez Danielle Harvey Matt A. Bernstein Nick C. Fox Paul M. Thompson Norbert Schuff Bret Borowski Jeff Gunter Matthew L. Senjem Prashanthi Vemuri David T. Jones Kejal Kantarci Chad Ward Robert A. Koeppe Norm Foster Eric M. Reiman Kewei Chen Chester A. Mathis Susan Landau Nigel J. Cairns Erin Householder Lisa Taylor‐Reinwald Virginia Lee Magdalena Korecka Michal Figurski Karen Crawford Scott Neu Tatiana Foroud Steven Potkin Li Shen Kelley Faber Sungeun Kim Kwangsik Nho Leon J. Thal Neil Buckholtz Marylyn Albert Richard Frank John Hsiao Jeffrey Kaye Joseph F. Quinn Betty Lind Raina Carter Sara Dolen Lon S. Schneider Sonia Pawluczyk Mauricio Beccera Liberty Teodoro Bryan M. Spann James B. Brewer Helen Vanderswag Adam Fleisher Judith L. Heidebrink Joanne Lord Sara S. Mason Colleen S. Albers David S. Knopman Kris Johnson Rachelle S. Doody Javier Villanueva‐Meyer Munir Chowdhury Susan Rountree Mimi Dang Yaakov Stern Lawrence S. Honig

Abstract Multifactorial mechanisms underlying late-onset Alzheimer’s disease (LOAD) are poorly characterized from an integrative perspective. Here spatiotemporal alterations in brain amyloid-β deposition, metabolism, vascular, functional activity at rest, structural properties, cognitive integrity and peripheral proteins levels relation to LOAD progression. We analyse over 7,700 images tens of plasma cerebrospinal fluid biomarkers the Disease Neuroimaging Initiative (ADNI). Through a...

10.1038/ncomms11934 article EN cc-by Nature Communications 2016-06-21

Hippocampal volume change over time, measured with MRI, has huge potential as a marker for Alzheimer's disease. The objectives of this study were: (i) to test if constant and accelerated hippocampal loss can be detected in disease, mild cognitive impairment normal ageing short periods, e.g. 6–12 months, MRI the large multicentre setting Disease Neuroimaging Initiative (ADNI); (ii) determine extent which polymorphism apolipoprotein E (ApoE) gene modulates change; (iii) rates correlate...

10.1093/brain/awp007 article EN cc-by-nc Brain 2008-05-21

Abstract Introduction We studied whether fully automated Elecsys cerebrospinal fluid (CSF) immunoassay results were concordant with positron emission tomography (PET) and predicted clinical progression, even cutoffs established in an independent cohort. Methods Cutoffs for amyloid‐β 1–42 (Aβ), total tau/Aβ(1–42), phosphorylated tau/Aβ(1–42) defined against [ 18 F]flutemetamol PET Swedish BioFINDER (n = 277) validated F]florbetapir Alzheimer's Disease Neuroimaging Initiative 646). Clinical...

10.1016/j.jalz.2018.01.010 article EN cc-by-nc-nd Alzheimer s & Dementia 2018-02-27

<b>Objective:</b> A variety of measurements have been individually linked to decline in mild cognitive impairment (MCI), but the identification optimal markers for predicting disease progression remains unresolved. The goal this study was evaluate prognostic ability genetic, CSF, neuroimaging, and obtained same participants. <b>Methods:</b><i>APOE</i> ε4 allele frequency, CSF proteins (Aβ<sub>1-42</sub>, total tau, hyperphosphorylated tau [p-tau<sub>181p</sub>]), glucose metabolism...

10.1212/wnl.0b013e3181e8e8b8 article EN Neurology 2010-07-01

Abstract Introduction Increasing evidence suggests a role for the gut microbiome in central nervous system disorders and specific gut‐brain axis neurodegeneration. Bile acids (BAs), products of cholesterol metabolism clearance, are produced liver further metabolized by bacteria. They have major regulatory signaling functions seem dysregulated Alzheimer's disease (AD). Methods Serum levels 15 primary secondary BAs their conjugated forms were measured 1464 subjects including 370 cognitively...

10.1016/j.jalz.2018.07.217 article EN publisher-specific-oa Alzheimer s & Dementia 2018-10-15

Abstract Objective The Parkinson's Progression Markers Initiative ( PPMI ) is an observational, international study designed to establish biomarker‐defined cohorts and identify clinical, imaging, genetic, biospecimen disease PD progression markers accelerate disease‐modifying therapeutic trials. Methods A total of 423 untreated , 196 Healthy Control HC 64 SWEDD (scans without evidence dopaminergic deficit) subjects were enrolled at 24 sites. To enroll as early possible following diagnosis,...

10.1002/acn3.644 article EN cc-by-nc-nd Annals of Clinical and Translational Neurology 2018-10-31

To test whether plasma tau is altered in Alzheimer disease (AD) and it related to changes cognition, CSF biomarkers of AD pathology (including β-amyloid [Aβ] tau), brain atrophy, metabolism.This was a study prospectively followed patients with (n = 179), mild cognitive impairment 195), healthy controls 189) from the Alzheimer's Disease Neuroimaging Initiative (ADNI) cross-sectionally studied 61), 212), subjective decline 174) 274) Biomarkers for Identifying Neurodegenerative Disorders Early...

10.1212/wnl.0000000000003246 article EN cc-by-nc-nd Neurology 2016-10-01

<b>Background:</b> PET imaging using [<sup>18</sup>F]fluorodeoxyglucose (FDG) and [<sup>11</sup>C]Pittsburgh compound B (PIB) have been proposed as biomarkers of Alzheimer disease (AD), CSF measures the 42 amino acid β-amyloid protein (Aβ<sub>1-42</sub>) total phosphorylated tau (t-tau p-tau). Relationships between with severity are incompletely understood. <b>Methods:</b> Ten subjects AD, 11 control subjects, 34 mild cognitive impairment from Alzheimer’s Disease Neuroimaging Initiative...

10.1212/wnl.0b013e3181bc010c article EN Neurology 2009-10-12

The extent to which large-caliber axonal degeneration contributes Alzheimer disease (AD) progression is unknown. Cerebrospinal fluid (CSF) neurofilament light (NFL) concentration a general marker of damage myelinated axons.To test whether CSF NFL associated with cognitive decline and imaging evidence neurodegeneration white matter change in AD.A commercially available immunoassay was used analyze cohort patients AD (n = 95) or mild impairment (MCI) 192) cognitively normal individuals 110)...

10.1001/jamaneurol.2015.3037 article EN JAMA Neurology 2015-11-02

Abstract Introduction The Alzheimer's Disease Research Summits of 2012 and 2015 incorporated experts from academia, industry, nonprofit organizations to develop new research directions transform our understanding disease (AD) propel the development critically needed therapies. In response their recommendations, big data at multiple levels are being generated integrated study network failures in disease. We used metabolomics as a global biochemical approach identify peripheral metabolic...

10.1016/j.jalz.2017.01.020 article EN publisher-specific-oa Alzheimer s & Dementia 2017-03-21
Alexandra L. Young Răzvan V. Marinescu Neil P. Oxtoby Martina Bocchetta Keir Yong and 95 more Nicholas C. Firth David M. Cash David L. Thomas Katrina M. Dick M. Jorge Cardoso John C. van Swieten Barbara Borroni Daniela Galimberti Mario Masellis Maria Carmela Tartaglia James B. Rowe Caroline Graff Fabrizio Tagliavini Giovanni B. Frisoni Robert Laforce Elizabeth Finger Alexandre de Mendonça Sandro Sorbi Jason D. Warren Sebastian J. Crutch Nick C. Fox Sebastién Ourselin Jonathan M. Schott Jonathan D. Rohrer Daniel C. Alexander Christin Andersson Silvana Archetti Andrea Arighi Luisa Benussi Giuliano Binetti Sandra E. Black Maura Cosseddu Marie Fallström Carlos Ferreira Chiara Fenoglio Morris Freedman Giorgio Fumagalli Stefano Gazzina Roberta Ghidoni Marina Grisoli Vesna Jelić Lize C. Jiskoot Ron Keren Gemma Lombardi Carolina Maruta Lieke Meeter Simon Mead Rick van Minkelen Benedetta Nacmias Linn Öijerstedt Alessandro Padovani Jessica Panman Michela Pievani Cristina Polito Enrico Premi Sara Prioni Rosa Rademakers Veronica Redaelli Ekaterina Rogaeva Giacomina Rossi Martin N. Rossor Elio Scarpini David F. Tang‐Wai Håkan Thonberg Pietro Tiraboschi Ana Verdelho Michael W. Weiner Paul Aisen Ronald Petersen Clifford R. Jack William J. Jagust John Q. Trojanowki Arthur W. Toga Laurel Beckett Robert C. Green Andrew J. Saykin John C. Morris Leslie M. Shaw Zaven S. Khachaturian Greg Sorensen Lew Kuller Marc Raichle Steven M. Paul Peter Davies Howard Fillit Franz Hefti Davie Holtzman M. Marcel Mesulam William C. Potter Peter J. Snyder Adam Schwartz Tom Montine Ronald G. Thomas Michael Donohue Sarah Walter

Abstract The heterogeneity of neurodegenerative diseases is a key confound to disease understanding and treatment development, as study cohorts typically include multiple phenotypes on distinct trajectories. Here we introduce machine-learning technique—Subtype Stage Inference (SuStaIn)—able uncover data-driven with temporal progression patterns, from widely available cross-sectional patient studies. Results imaging studies in two reveal subgroups their trajectories regional...

10.1038/s41467-018-05892-0 article EN cc-by Nature Communications 2018-10-09

Background The cerebrospinal fluid (CSF) biomarkers amyloid β (Aβ)‐42, total‐tau (T‐tau), and phosphorylated‐tau (P‐tau) demonstrate good diagnostic accuracy for Alzheimer's disease (AD). However, there are large variations in biomarker measurements between studies, within laboratories. Association has initiated a global quality control program to estimate monitor variability of measurements, quantify batch‐to‐batch assay variations, identify sources variability. In this article, we present...

10.1016/j.jalz.2011.05.2243 article EN Alzheimer s & Dementia 2011-07-01
Jacob W. Vogel Yasser Iturria‐Medina Olof Strandberg Ruben Smith Elizabeth Levitis and 95 more Alan C. Evans Oskar Hansson Michael W. Weiner Paul Aisen Ronald C. Petersen Clifford R. Jack William J. Jagust John Q. Trojanowki Arthur W. Toga Laurel Beckett Robert C. Green Andrew J. Saykin John R. Morris Leslie M. Shaw Enchi Liu Tom Montine Ronald G. Thomas Michael Donohue Sarah Walter Devon Gessert Tamie Sather Gus Jiminez Danielle Harvey Michael Donohue Matt A. Bernstein Nick C. Fox Paul M. Thompson Norbert Schuff Charles DeCarli Bret Borowski Jeff Gunter Matthew L. Senjem Prashanthi Vemuri David T. Jones Kejal Kantarci Chad Ward Robert A. Koeppe Norm Foster Eric M. Reiman Kewei Chen Chester A. Mathis Susan Landau Nigel J. Cairns Erin Householder Lisa Taylor Reinwald Virginia M.‐Y. Lee Magdalena Korecka Michal Figurski Karen Crawford Scott Neu Tatiana Foroud Steven G. Potkin Li Shen Kelley Faber Sungeun Kim Kwangsik Nho Zaven Kachaturian Richard Frank Peter J. Snyder Susan Molchan Jeffrey Kaye Joseph F. Quinn Betty Lind Raina Carter Sara Dolen Lon S. Schneider Sonia Pawluczyk Mauricio Beccera Liberty Teodoro Bryan M. Spann James M. Brewer Helen Vanderswag Adam Fleisher Judith L. Heidebrink Joanne Lord Ronald C. Petersen Sara S. Mason Colleen S. Albers David S. Knopman Kris Johnson Rachelle S. Doody Javier Villanueva Meyer Munir Chowdhury Susan Rountree Mimi Dang Yaakov Stern Lawrence S. Honig Karen L. Bell Beau M. Ances John C. Morris Maria Carroll Sue Leon Erin Householder Mark A. Mintun Stacy Schneider

Tau is a hallmark pathology of Alzheimer's disease, and animal models have suggested that tau spreads from cell to through neuronal connections, facilitated by β-amyloid (Aβ). We test this hypothesis in humans using an epidemic spreading model (ESM) simulate spread, compare these simulations observed patterns measured tau-PET 312 individuals along disease continuum. Up 70% the variance overall spatial pattern can be explained our model. Surprisingly, ESM predicts irrespective whether brain...

10.1038/s41467-020-15701-2 article EN cc-by Nature Communications 2020-05-26

To investigate the relationship between baseline MRI and CSF biomarkers subsequent change in continuous measures of cognitive functional abilities cognitively normal (CN) subjects patients with amnestic mild impairment (aMCI) Alzheimer disease (AD) to examine ability these predict time conversion from aMCI AD.Data Alzheimer's Disease Neuroimaging Initiative, which consists CN, aMCI, AD cohorts both MRI, were used. Baseline (t-tau, Abeta(1-42), p-tau(181P)) scans obtained 399 (109 192 98 AD)....

10.1212/wnl.0b013e3181af79fb article EN Neurology 2009-07-27
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