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Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ): Rationale and Study Design of the Largest Global Prospective Cohort Study of Clinical High Risk for Psychosis
Journal
Schizophrenia Bulletin
ISSN
0586-7614
1745-1701
Date Issued
2024
Author(s)
Cassandra M J Wannan
Barnaby Nelson
Jean Addington
Kelly Allott
Alan Anticevic
Celso Arango
Justin T Baker
Carrie E Bearden
Tashrif Billah
Sylvain Bouix
Matthew R Broome
Kate Buccilli
Kristin S Cadenhead
Monica E Calkins
Tyrone D Cannon
Guillermo Cecci
Eric Yu Hai Chen
Kang Ik K Cho
Jimmy Choi
Scott R Clark
Michael J Coleman
Philippe Conus
Cheryl M Corcoran
Barbara A Cornblatt
Covadonga M Diaz-Caneja
Dominic Dwyer
Bjørn H Ebdrup
Lauren M Ellman
Paolo Fusar-Poli
Liliana Galindo
Pablo A Gaspar
Carla Gerber
Louise Birkedal Glenthøj
Robert Glynn
Michael P Harms
Leslie E Horton
René S Kahn
Joseph Kambeitz
Lana Kambeitz-Ilankovic
John M Kane
Tina Kapur
Matcheri S Keshavan
Sung-Wan Kim
Nikolaos Koutsouleris
Marek Kubicki
Jun Soo Kwon
Kerstin Langbein
Kathryn E Lewandowski
Gregory A Light
Daniel Mamah
Patricia J Marcy
Daniel H Mathalon
Patrick D McGorry
Vijay A Mittal
Merete Nordentoft
Angela Nunez
Ofer Pasternak
Godfrey D Pearlson
Diana O Perkins
Albert R Powers
David R Roalf
Fred W Sabb
Jason Schiffman
Jai L Shah
Stefan Smesny
Jessica Spark
William S Stone
Gregory P Strauss
Zailyn Tamayo
John Torous
Rachel Upthegrove
Mark Vangel
Swapna Verma
Jijun Wang
Inge Winter-van Rossum
Daniel H Wolf
Phillip Wolff
Stephen J Wood
Alison R Yung
Carla Agurto
Mario Alvarez-Jimenez
Paul Amminger
Marco Armando
Ameneh Asgari-Targhi
John Cahill
Ricardo E Carrión
Suheyla Cetin-Karayumak
M Mallar Chakravarty
Youngsun T Cho
David Cotter
Simon D’Alfonso
Michaela Ennis
Shreyas Fadnavis
Clara Fonteneau
Caroline Gao
Tina Gupta
Raquel E Gur
Ruben C Gur
Holly K Hamilton
Gil D Hoftman
Grace R Jacobs
Johanna Jarcho
Jie Lisa Ji
Christian G Kohler
Paris Alexandros Lalousis
Suzie Lavoie
Martin Lepage
Einat Liebenthal
Josh Mervis
Vishnu Murty
Spero C Nicholas
Lipeng Ning
Nora Penzel
Russell Poldrack
Pablo Polosecki
Danielle N Pratt
Rachel Rabin
Habiballah Rahimi Eichi
Yogesh Rathi
Avraham Reichenberg
Jenna Reinen
Jack Rogers
Bernalyn Ruiz-Yu
Isabelle Scott
Johanna Seitz-Holland
Vinod H Srihari
Agrima Srivastava
Andrew Thompson
Bruce I Turetsky
Barbara C Walsh
Thomas Whitford
Johanna T W Wigman
Beier Yao
Hok Pan Yuen
Uzair Ahmed
Andrew (Jin Soo) Byun
Yoonho Chung
Kim Do
Larry Hendricks
Kevin Huynh
Clark Jeffries
Erlend Lane
Carsten Langholm
Eric Lin
Valentina Mantua
Gennarina Santorelli
Kosha Ruparel
Eirini Zoupou
Tatiana Adasme
Lauren Addamo
Laura Adery
Munaza Ali
Andrea Auther
Samantha Aversa
Seon-Hwa Baek
Kelly Bates
Alyssa Bathery
Johanna M M Bayer
Rebecca Beedham
Zarina Bilgrami
Sonia Birch
Ilaria Bonoldi
Owen Borders
Renato Borgatti
Lisa Brown
Alejandro Bruna
Holly Carrington
Rolando I Castillo-Passi
Justine Chen
Nicholas Cheng
Ann Ee Ching
Chloe Clifford
Beau-Luke Colton
Pamela Contreras
Sebastián Corral
Stefano Damiani
Monica Done
Andrés Estradé
Brandon Asika Etuka
Melanie Formica
Rachel Furlan
Mia Geljic
Carmela Germano
Ruth Getachew
Mathias Goncalves
Anastasia Haidar
Jessica Hartmann
Anna Jo
Omar John
Sarah Kerins
Melissa Kerr
Irena Kesselring
Honey Kim
Nicholas Kim
Kyle Kinney
Marija Krcmar
Elana Kotler
Melanie Lafanechere
Clarice Lee
Joshua Llerena
Christopher Markiewicz
Priya Matnejl
Alejandro Maturana
Aissata Mavambu
Rocío Mayol-Troncoso
Amelia McDonnell
Alessia McGowan
Danielle McLaughlin
Rebecca McIlhenny
Brittany McQueen
Yohannes Mebrahtu
Martina Mensi
Christy Lai Ming Hui
Yi Nam Suen
Stephanie Ming Yin Wong
Neal Morrell
Mariam Omar
Alice Partridge
Christina Phassouliotis
Anna Pichiecchio
Pierluigi Politi
Christian Porter
Umberto Provenzani
Nicholas Prunier
Jasmine Raj
Susan Ray
Victoria Rayner
Manuel Reyes
Kate Reynolds
Sage Rush
Cesar Salinas
Jashmina Shetty
Callum Snowball
Sophie Tod
Gabriel Turra-Fariña
Daniela Valle
Simone Veale
Sarah Whitson
Alana Wickham
Sarah Youn
Elissa Zavaglia
Jamie Zinberg
Scott W Woods
Martha E Shenton
Type
journal-article
Abstract
<jats:title>Abstract</jats:title>
<jats:p>This article describes the rationale, aims, and methodology of the Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ). This is the largest international collaboration to date that will develop algorithms to predict trajectories and outcomes of individuals at clinical high risk (CHR) for psychosis and to advance the development and use of novel pharmacological interventions for CHR individuals. We present a description of the participating research networks and the data processing analysis and coordination center, their processes for data harmonization across 43 sites from 13 participating countries (recruitment across North America, Australia, Europe, Asia, and South America), data flow and quality assessment processes, data analyses, and the transfer of data to the National Institute of Mental Health (NIMH) Data Archive (NDA) for use by the research community. In an expected sample of approximately 2000 CHR individuals and 640 matched healthy controls, AMP SCZ will collect clinical, environmental, and cognitive data along with multimodal biomarkers, including neuroimaging, electrophysiology, fluid biospecimens, speech and facial expression samples, novel measures derived from digital health technologies including smartphone-based daily surveys, and passive sensing as well as actigraphy. The study will investigate a range of clinical outcomes over a 2-year period, including transition to psychosis, remission or persistence of CHR status, attenuated positive symptoms, persistent negative symptoms, mood and anxiety symptoms, and psychosocial functioning. The global reach of AMP SCZ and its harmonized innovative methods promise to catalyze the development of new treatments to address critical unmet clinical and public health needs in CHR individuals.</jats:p>
<jats:p>This article describes the rationale, aims, and methodology of the Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ). This is the largest international collaboration to date that will develop algorithms to predict trajectories and outcomes of individuals at clinical high risk (CHR) for psychosis and to advance the development and use of novel pharmacological interventions for CHR individuals. We present a description of the participating research networks and the data processing analysis and coordination center, their processes for data harmonization across 43 sites from 13 participating countries (recruitment across North America, Australia, Europe, Asia, and South America), data flow and quality assessment processes, data analyses, and the transfer of data to the National Institute of Mental Health (NIMH) Data Archive (NDA) for use by the research community. In an expected sample of approximately 2000 CHR individuals and 640 matched healthy controls, AMP SCZ will collect clinical, environmental, and cognitive data along with multimodal biomarkers, including neuroimaging, electrophysiology, fluid biospecimens, speech and facial expression samples, novel measures derived from digital health technologies including smartphone-based daily surveys, and passive sensing as well as actigraphy. The study will investigate a range of clinical outcomes over a 2-year period, including transition to psychosis, remission or persistence of CHR status, attenuated positive symptoms, persistent negative symptoms, mood and anxiety symptoms, and psychosocial functioning. The global reach of AMP SCZ and its harmonized innovative methods promise to catalyze the development of new treatments to address critical unmet clinical and public health needs in CHR individuals.</jats:p>