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1,094 results on '"Cotter, David"'

1. Proteomic Biomarkers for the Prediction of Transition to Psychosis in Individuals at Clinical High Risk: A Multi-cohort Model Development Study.

Author

Byrne, Jonah, Healy, Colm, Föcking, Melanie, Susai, Subash, Mongan, David, Wynne, Kieran, Kodosaki, Eleftheria, Heurich, Meike, de Haan, Lieuwe, Hickie, Ian, Smesny, Stefan, Thompson, Andrew, Markulev, Connie, Young, Alison, Schäfer, Miriam, Riecher-Rössler, Anita, Mossaheb, Nilufar, Berger, Gregor, Schlögelhofer, Monika, Nordentoft, Merete, Chen, Eric, Verma, Swapna, Nieman, Dorien, Woods, Scott, Cornblatt, Barbara, Stone, William, Addington, Jean, Walker, Elaine, Cannon, Tyrone, Cannon, Mary, McGorry, Pat, Amminger, Paul, Cagney, Gerard, Nelson, Barnaby, Jeffries, Clark, Perkins, Diana, Cotter, David, Mathalon, Daniel, Bearden, Carrie, and Cadenhead, Kristin

Subjects
coagulation, complement, high risk, immune, model, prediction, proteome, psychosis, Humans, Psychotic Disorders, Female, Male, Biomarkers, Proteomics, Young Adult, Adolescent, Prodromal Symptoms, Adult, Disease Progression, Longitudinal Studies, Risk
Abstract

Psychosis risk prediction is one of the leading challenges in psychiatry. Previous investigations have suggested that plasma proteomic data may be useful in accurately predicting transition to psychosis in individuals at clinical high risk (CHR). We hypothesized that an a priori-specified proteomic prediction model would have strong predictive accuracy for psychosis risk and aimed to replicate longitudinal associations between plasma proteins and transition to psychosis. This study used plasma samples from participants in 3 CHR cohorts: the North American Prodrome Longitudinal Studies 2 and 3, and the NEURAPRO randomized control trial (total n = 754). Plasma proteomic data were quantified using mass spectrometry. The primary outcome was transition to psychosis over the study follow-up period. Logistic regression models were internally validated, and optimism-corrected performance metrics derived with a bootstrap procedure. In the overall sample of CHR participants (age: 18.5, SD: 3.9; 51.9% male), 20.4% (n = 154) developed psychosis within 4.4 years. The a priori-specified model showed poor risk-prediction accuracy for the development of psychosis (C-statistic: 0.51 [95% CI: 0.50, 0.59], calibration slope: 0.45). At a group level, Complement C8B, C4B, C5, and leucine-rich α-2 glycoprotein 1 (LRG1) were associated with transition to psychosis but did not surpass correction for multiple comparisons. This study did not confirm the findings from a previous proteomic prediction model of transition from CHR to psychosis. Certain complement proteins may be weakly associated with transition at a group level. Previous findings, derived from small samples, should be interpreted with caution.

Published
2024

2. Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ): Rationale and Study Design of the Largest Global Prospective Cohort Study of Clinical High Risk for Psychosis.

Author

Wannan, Cassandra, Nelson, Barnaby, Addington, Jean, Allott, Kelly, Anticevic, Alan, Arango, Celso, Baker, Justin, McGorry, Patrick, Mittal, Vijay, Nordentoft, Merete, Nunez, Angela, Pasternak, Ofer, Pearlson, Godfrey, Perez, Jesus, Perkins, Diana, Powers, Albert, Roalf, David, Sabb, Fred, Schiffman, Jason, Shah, Jai, Smesny, Stefan, Spark, Jessica, Stone, William, Strauss, Gregory, Tamayo, Zailyn, Torous, John, Upthegrove, Rachel, Vangel, Mark, Verma, Swapna, Wang, Jijun, Rossum, Inge, Wolf, Daniel, Wolff, Phillip, Wood, Stephen, Yung, Alison, Agurto, Carla, Alvarez-Jimenez, Mario, Amminger, Paul, Armando, Marco, Asgari-Targhi, Ameneh, Cahill, John, Carrión, Ricardo, Castro, Eduardo, Cetin-Karayumak, Suheyla, Mallar Chakravarty, M, Cho, Youngsun, Cotter, David, DAlfonso, Simon, Ennis, Michaela, Fadnavis, Shreyas, Fonteneau, Clara, Gao, Caroline, Gupta, Tina, Gur, Raquel, Gur, Ruben, Hamilton, Holly, Hoftman, Gil, Jacobs, Grace, Jarcho, Johanna, Ji, Jie, Kohler, Christian, Lalousis, Paris, Lavoie, Suzie, Lepage, Martin, Liebenthal, Einat, Mervis, Josh, Murty, Vishnu, Nicholas, Spero, Ning, Lipeng, Penzel, Nora, Poldrack, Russell, Polosecki, Pablo, Pratt, Danielle, Rabin, Rachel, Rahimi Eichi, Habiballah, Rathi, Yogesh, Reichenberg, Avraham, Reinen, Jenna, Rogers, Jack, Ruiz-Yu, Bernalyn, Scott, Isabelle, Seitz-Holland, Johanna, Srihari, Vinod, Srivastava, Agrima, Thompson, Andrew, Turetsky, Bruce, Walsh, Barbara, Whitford, Thomas, Wigman, Johanna, Yao, Beier, Yuen, Hok, Ahmed, Uzair, Byun, Andrew, Chung, Yoonho, Do, Kim, Hendricks, Larry, Huynh, Kevin, Jeffries, Clark, Lane, Erlend, and Langholm, Carsten

Subjects
clinical high risk, consortium, early detection, prediction, prevention, psychosis, Humans, Psychotic Disorders, Schizophrenia, Prospective Studies, Adult, Prodromal Symptoms, Young Adult, International Cooperation, Adolescent, Research Design, Male, Female
Abstract

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.

Published
2024

7. Functional impairment of cortical AMPA receptors in schizophrenia.

Author

Zeppillo, Tommaso, Schulmann, Anton, Hjelm, Brooke, Föcking, Melanie, Sequeira, P, Guella, Ilaria, Cotter, David, Bunney, William, Limon, Agenor, Macciardi, Fabio, and Vawter, Marquis

Subjects
AMPA receptors, Microtransplantation of synaptic membranes, Schizophrenia, Synaptic dysfunction, Humans, Receptors, AMPA, Synaptic Transmission, Schizophrenia, Proteomics, Kainic Acid
Abstract

Clinical and preclinical studies suggest that some of the behavioral alterations observed in schizophrenia (SZ) may be mechanistically linked to synaptic dysfunction of glutamatergic signaling. Recent genetic and proteomic studies suggest alterations of cortical glutamate receptors of the AMPA-type (AMPARs), which are the predominant ligand-gated ionic channels of fast transmission at excitatory synapses. The impact of gene and protein alterations on the electrophysiological activity of AMPARs is not known in SZ. In this proof of principle work, using human postmortem brain synaptic membranes isolated from the dorsolateral prefrontal cortex (DLPFC), we combined electrophysiological analysis from microtransplanted synaptic membranes (MSM) with transcriptomic (RNA-Seq) and label-free proteomics data in 10 control and 10 subjects diagnosed with SZ. We observed in SZ a reduction in the amplitude of AMPARs currents elicited by kainate, an agonist of AMPARs that blocks the desensitization of the receptor. This reduction was not associated with protein abundance but with a reduction in kainates potency to activate AMPARs. Electrophysiologically-anchored dataset analysis (EDA) was used to identify synaptosomal proteins that linearly correlate with the amplitude of the AMPARs responses, gene ontology functional annotations were then used to determine protein-protein interactions. Protein modules associated with positive AMPARs current increases were downregulated in SZ, while protein modules that were upregulated in SZ were associated with decreased AMPARs currents. Our results indicate that transcriptomic and proteomic alterations, frequently observed in the DLPFC in SZ, converge at the synaptic level producing a functional electrophysiological impairment of AMPARs.

Published
2022

12. Plasma complement and coagulation proteins as prognostic factors of negative symptoms: An analysis of the NAPLS 2 and 3 studies

Author

Byrne, Jonah F., Healy, Colm, Föcking, Melanie, Heurich, Meike, Susai, Subash Raj, Mongan, David, Wynne, Kieran, Kodosaki, Eleftheria, Woods, Scott W., Cornblatt, Barbara A., Stone, William S., Mathalon, Daniel H., Bearden, Carrie E., Cadenhead, Kristin S., Addington, Jean, Walker, Elaine F., Cannon, Tyrone D., Cannon, Mary, Jeffries, Clark, Perkins, Diana, and Cotter, David R.

Published
2024
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16. Correction to: Investigating the effectiveness of three school based interventions for preventing psychotic experiences over a year period – a secondary data analysis study of a randomized control trial

Author

Staines, Lorna, Healy, Colm, Corcoran, Paul, Keeley, Helen, Coughlan, Helen, McMahon, Elaine, Cotter, Padraig, Cotter, David, Kelleher, Ian, Wasserman, Camilla, Brunner, Romuald, Kaess, Michael, Sarchiapone, Marco, Hoven, Christina W., Carli, Vladimir, Wasserman, Danuta, and Cannon, Mary

Published
2023
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17. Investigating the effectiveness of three school based interventions for preventing psychotic experiences over a year period – a secondary data analysis study of a randomized control trial

Author

Staines, Lorna, Healy, Colm, Corcoran, Paul, Keeley, Helen, Coughlan, Helen, McMahon, Elaine, Cotter, Padraig, Cotter, David, Kelleher, Ian, Wasserman, Camilla, Brunner, Romuald, Kaess, Michael, Sarchiapone, Marco, Hoven, Christina W., Carli, Vladimir, Wasserman, Danuta, and Cannon, Mary

Published
2023
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18. The Iron Horse express

Author

Cotter, David G., LtCol

Subjects
TASK FORCES, TRANSPORTATION UNITS - Army - Organization, OPERATION - Iraqi Freedom - Logistics
Abstract

illus

Published
2003

19. Differential expression of haptoglobin in individuals at clinical high risk of psychosis and its association with global functioning and clinical symptoms

Author

Healy, Colm, Byrne, Jonah, Raj Suasi, Subash, Föcking, Melanie, Mongan, David, Kodosaki, Eleftheria, Heurich, Meike, Cagney, Gerard, Wynne, Kieran, Bearden, Carrie E., Woods, Scott W., Cornblatt, Barbara, Mathalon, Daniel, Stone, William, Cannon, Tyrone D., Addington, Jean, Cadenhead, Kristin S., Perkins, Diana, Jeffries, Clark, and Cotter, David

Published
2024
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22. Non-uremic calciphylaxis in a patient with multiple rheumatologic diseases

Author

Kusari, Ayan, Cotter, David, Hinds, Brian, and Paravar, Taraneh

Subjects
non-uremic calciphylaxis, calcific uremic arteriopathy, metastatic calcification, pathophysiology, sodium thiosulfate, management
Abstract

Non-uremic calciphylaxis is a rare, life-threatening condition characterized clinically by cutaneous necrosis and histologically by calcium deposition in small vessel walls. The etiology of non-uremic calciphylaxis remains the subject of ongoing speculation and debate. Herein we present a patient with calciphylaxis who had normal kidney function and numerous rheumatologic diseases, namely systemic lupus erythematosus (SLE), Sjogren syndrome (SS), and myasthenia gravis (MG). We review the pathophysiology, possible mechanisms, and management for non-uremic calciphylaxis.

Published
2019

23. Machine learning based prediction and the influence of complement – Coagulation pathway proteins on clinical outcome: Results from the NEURAPRO trial

Author

Susai, Subash Raj, Mongan, David, Healy, Colm, Cannon, Mary, Cagney, Gerard, Wynne, Kieran, Byrne, Jonah F., Markulev, Connie, Schäfer, Miriam R., Berger, Maximus, Mossaheb, Nilufar, Schlögelhofer, Monika, Smesny, Stefan, Hickie, Ian B., Berger, Gregor E., Chen, Eric Y.H., de Haan, Lieuwe, Nieman, Dorien H., Nordentoft, Merete, Riecher-Rössler, Anita, Verma, Swapna, Street, Rebekah, Thompson, Andrew, Ruth Yung, Alison, Nelson, Barnaby, McGorry, Patrick D., Föcking, Melanie, Paul Amminger, G., and Cotter, David

Published
2022
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26. Evidence that complement and coagulation proteins are mediating the clinical response to omega-3 fatty acids: A mass spectrometry-based investigation in subjects at clinical high-risk for psychosis

Author

Susai, Subash Raj, Healy, Colm, Mongan, David, Heurich, Meike, Byrne, Jonah F., Cannon, Mary, Cagney, Gerard, Wynne, Kieran, Markulev, Connie, Schäfer, Miriam R., Berger, Maximus, Mossaheb, Nilufar, Schlögelhofer, Monika, Smesny, Stefan, Hickie, Ian B., Berger, Gregor E., Chen, Eric Y. H., de Haan, Lieuwe, Nieman, Dorien H., Nordentoft, Merete, Riecher-Rössler, Anita, Verma, Swapna, Street, Rebekah, Thompson, Andrew, Yung, Alison Ruth, Nelson, Barnaby, McGorry, Patrick D., Föcking, Melanie, Amminger, G. Paul, and Cotter, David

Published
2022
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29. The association of plasma inflammatory markers with omega-3 fatty acids and their mediating role in psychotic symptoms and functioning: An analysis of the NEURAPRO clinical trial

Author

Susai, Subash Raj, Mongan, David, Healy, Colm, Cannon, Mary, Nelson, Barnaby, Markulev, Connie, Schäfer, Miriam R., Berger, Maximus, Mossaheb, Nilufar, Schlögelhofer, Monika, Smesny, Stefan, Hickie, Ian B., Berger, Gregor E., Chen, Eric Y.H., de Haan, Lieuwe, Nieman, Dorien H., Nordentoft, Merete, Riecher-Rössler, Anita, Verma, Swapna, Thompson, Andrew, Yung, Alison Ruth, McGorry, Patrick D., Föcking, Melanie, Cotter, David, and Amminger, G. Paul

Published
2022
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34. Autoantibodies and Psychosis

Author

Kelleher, Eric, Barry, Helen, Cotter, David R., Corvin, Aiden, Murphy, Kieran C., Geyer, Mark A., Series Editor, Ellenbroek, Bart A., Series Editor, Marsden, Charles A., Series Editor, Barnes, Thomas R.E., Series Editor, Andersen, Susan L., Series Editor, Khandaker, Golam M., editor, Meyer, Urs, editor, and Jones, Peter B., editor

Published
2020
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35. Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ):Rationale and Study Design of the Largest Global Prospective Cohort Study of Clinical High Risk for Psychosis

Author

Wannan, Cassandra M.J., Nelson, Barnaby, Addington, Jean, Allott, Kelly, Anticevic, Alan, Arango, Celso, Baker, Justin T., Bearden, Carrie E., Billah, Tashrif, Bouix, Sylvain, Broome, Matthew R., Buccilli, Kate, Cadenhead, Kristin S., Calkins, Monica E., Cannon, Tyrone D., Cecci, Guillermo, Chen, Eric Yu Hai, Cho, Kang Ik K., Choi, Jimmy, Clark, Scott R., Coleman, Michael J., Conus, Philippe, Corcoran, Cheryl M., Cornblatt, Barbara A., Diaz-Caneja, Covadonga M., Dwyer, Dominic, Ebdrup, Bjørn H., Ellman, Lauren M., Fusar-Poli, Paolo, Galindo, Liliana, Gaspar, Pablo A., Gerber, Carla, Glenthøj, Louise Birkedal, Glynn, Robert, Harms, Michael P., Horton, Leslie E., Kahn, René S., Kambeitz, Joseph, Kambeitz-Ilankovic, Lana, Kane, John M., Kapur, Tina, Keshavan, Matcheri S., Kim, Sung Wan, Koutsouleris, Nikolaos, Kubicki, Marek, Kwon, Jun Soo, Langbein, Kerstin, Lewandowski, Kathryn E., Light, Gregory A., Mamah, Daniel, Marcy, Patricia J., Mathalon, Daniel H., McGorry, Patrick D., Mittal, Vijay A., Nordentoft, Merete, Nunez, Angela, Pasternak, Ofer, Pearlson, Godfrey D., Perez, Jesus, Perkins, Diana O., Powers, Albert R., Roalf, David R., Sabb, Fred W., Schiffman, Jason, Shah, Jai L., Smesny, Stefan, Spark, Jessica, Stone, William S., Strauss, Gregory P., Tamayo, Zailyn, Torous, John, Upthegrove, Rachel, Vangel, Mark, Verma, Swapna, Wang, Jijun, Rossum, Inge Winter van, Wolf, Daniel H., Wolff, Phillip, Wood, Stephen J., Yung, Alison R., Agurto, Carla, Alvarez-Jimenez, Mario, Amminger, Paul, Armando, Marco, Asgari-Targhi, Ameneh, Cahill, John, Carrión, Ricardo E., Castro, Eduardo, Cetin-Karayumak, Suheyla, Mallar Chakravarty, M., Cho, Youngsun T., Cotter, David, D'Alfonso, Simon, Ennis, Michaela, Fadnavis, Shreyas, Fonteneau, Clara, Gao, Caroline, Gupta, Tina, Gur, Raquel E., Gur, Ruben C., Hamilton, Holly K., Hoftman, Gil D., Jacobs, Grace R., Jarcho, Johanna, Ji, Jie Lisa, Kohler, Christian G., Lalousis, Paris Alexandros, Lavoie, Suzie, Lepage, Martin, Liebenthal, Einat, Mervis, Josh, Murty, Vishnu, Nicholas, Spero C., Ning, Lipeng, Penzel, Nora, Poldrack, Russell, Polosecki, Pablo, Pratt, Danielle N., Rabin, Rachel, Rahimi Eichi, Habiballah, Rathi, Yogesh, Reichenberg, Avraham, Reinen, Jenna, Rogers, Jack, Ruiz-Yu, Bernalyn, Scott, Isabelle, Seitz-Holland, Johanna, Srihari, Vinod H., Srivastava, Agrima, Thompson, Andrew, Turetsky, Bruce I., Walsh, Barbara C., Whitford, Thomas, Wigman, Johanna T.W., Yao, Beier, Yuen, Hok Pan, Ahmed, Uzair, Byun, Andrew Jin Soo, Chung, Yoonho, Do, Kim, Hendricks, Larry, Huynh, Kevin, Jeffries, Clark, Lane, Erlend, Langholm, Carsten, Lin, Eric, Mantua, Valentina, Santorelli, Gennarina, Ruparel, Kosha, Zoupou, Eirini, Adasme, Tatiana, Addamo, Lauren, Adery, Laura, Ali, Munaza, Auther, Andrea, Aversa, Samantha, Baek, Seon Hwa, Bates, Kelly, Bathery, Alyssa, Bayer, Johanna M.M., Beedham, Rebecca, Bilgrami, Zarina, Birch, Sonia, Bonoldi, Ilaria, Borders, Owen, Borgatti, Renato, Brown, Lisa, Bruna, Alejandro, Carrington, Holly, Castillo-Passi, Rolando I., Chen, Justine, Cheng, Nicholas, Ching, Ann Ee, Clifford, Chloe, Colton, Beau Luke, Contreras, Pamela, Corral, Sebastián, Damiani, Stefano, Done, Monica, Estradé, Andrés, Etuka, Brandon Asika, Formica, Melanie, Furlan, Rachel, Geljic, Mia, Germano, Carmela, Getachew, Ruth, Goncalves, Mathias, Haidar, Anastasia, Hartmann, Jessica, Jo, Anna, John, Omar, Kerins, Sarah, Kerr, Melissa, Kesselring, Irena, Kim, Honey, Kim, Nicholas, Kinney, Kyle, Krcmar, Marija, Kotler, Elana, Lafanechere, Melanie, Lee, Clarice, Llerena, Joshua, Markiewicz, Christopher, Matnejl, Priya, Maturana, Alejandro, Mavambu, Aissata, Mayol-Troncoso, Rocío, McDonnell, Amelia, McGowan, Alessia, McLaughlin, Danielle, McIlhenny, Rebecca, McQueen, Brittany, Mebrahtu, Yohannes, Mensi, Martina, Hui, Christy Lai Ming, Suen, Yi Nam, Wong, Stephanie Ming Yin, Morrell, Neal, Omar, Mariam, Partridge, Alice, Phassouliotis, Christina, Pichiecchio, Anna, Politi, Pierluigi, Porter, Christian, Provenzani, Umberto, Prunier, Nicholas, Raj, Jasmine, Ray, Susan, Rayner, Victoria, Reyes, Manuel, Reynolds, Kate, Rush, Sage, Salinas, Cesar, Shetty, Jashmina, Snowball, Callum, Tod, Sophie, Turra-Fariña, Gabriel, Valle, Daniela, Veale, Simone, Whitson, Sarah, Wickham, Alana, Youn, Sarah, Zamorano, Francisco, Zavaglia, Elissa, Zinberg, Jamie, Woods, Scott W., Shenton, Martha E., Wannan, Cassandra M.J., Nelson, Barnaby, Addington, Jean, Allott, Kelly, Anticevic, Alan, Arango, Celso, Baker, Justin T., Bearden, Carrie E., Billah, Tashrif, Bouix, Sylvain, Broome, Matthew R., Buccilli, Kate, Cadenhead, Kristin S., Calkins, Monica E., Cannon, Tyrone D., Cecci, Guillermo, Chen, Eric Yu Hai, Cho, Kang Ik K., Choi, Jimmy, Clark, Scott R., Coleman, Michael J., Conus, Philippe, Corcoran, Cheryl M., Cornblatt, Barbara A., Diaz-Caneja, Covadonga M., Dwyer, Dominic, Ebdrup, Bjørn H., Ellman, Lauren M., Fusar-Poli, Paolo, Galindo, Liliana, Gaspar, Pablo A., Gerber, Carla, Glenthøj, Louise Birkedal, Glynn, Robert, Harms, Michael P., Horton, Leslie E., Kahn, René S., Kambeitz, Joseph, Kambeitz-Ilankovic, Lana, Kane, John M., Kapur, Tina, Keshavan, Matcheri S., Kim, Sung Wan, Koutsouleris, Nikolaos, Kubicki, Marek, Kwon, Jun Soo, Langbein, Kerstin, Lewandowski, Kathryn E., Light, Gregory A., Mamah, Daniel, Marcy, Patricia J., Mathalon, Daniel H., McGorry, Patrick D., Mittal, Vijay A., Nordentoft, Merete, Nunez, Angela, Pasternak, Ofer, Pearlson, Godfrey D., Perez, Jesus, Perkins, Diana O., Powers, Albert R., Roalf, David R., Sabb, Fred W., Schiffman, Jason, Shah, Jai L., Smesny, Stefan, Spark, Jessica, Stone, William S., Strauss, Gregory P., Tamayo, Zailyn, Torous, John, Upthegrove, Rachel, Vangel, Mark, Verma, Swapna, Wang, Jijun, Rossum, Inge Winter van, Wolf, Daniel H., Wolff, Phillip, Wood, Stephen J., Yung, Alison R., Agurto, Carla, Alvarez-Jimenez, Mario, Amminger, Paul, Armando, Marco, Asgari-Targhi, Ameneh, Cahill, John, Carrión, Ricardo E., Castro, Eduardo, Cetin-Karayumak, Suheyla, Mallar Chakravarty, M., Cho, Youngsun T., Cotter, David, D'Alfonso, Simon, Ennis, Michaela, Fadnavis, Shreyas, Fonteneau, Clara, Gao, Caroline, Gupta, Tina, Gur, Raquel E., Gur, Ruben C., Hamilton, Holly K., Hoftman, Gil D., Jacobs, Grace R., Jarcho, Johanna, Ji, Jie Lisa, Kohler, Christian G., Lalousis, Paris Alexandros, Lavoie, Suzie, Lepage, Martin, Liebenthal, Einat, Mervis, Josh, Murty, Vishnu, Nicholas, Spero C., Ning, Lipeng, Penzel, Nora, Poldrack, Russell, Polosecki, Pablo, Pratt, Danielle N., Rabin, Rachel, Rahimi Eichi, Habiballah, Rathi, Yogesh, Reichenberg, Avraham, Reinen, Jenna, Rogers, Jack, Ruiz-Yu, Bernalyn, Scott, Isabelle, Seitz-Holland, Johanna, Srihari, Vinod H., Srivastava, Agrima, Thompson, Andrew, Turetsky, Bruce I., Walsh, Barbara C., Whitford, Thomas, Wigman, Johanna T.W., Yao, Beier, Yuen, Hok Pan, Ahmed, Uzair, Byun, Andrew Jin Soo, Chung, Yoonho, Do, Kim, Hendricks, Larry, Huynh, Kevin, Jeffries, Clark, Lane, Erlend, Langholm, Carsten, Lin, Eric, Mantua, Valentina, Santorelli, Gennarina, Ruparel, Kosha, Zoupou, Eirini, Adasme, Tatiana, Addamo, Lauren, Adery, Laura, Ali, Munaza, Auther, Andrea, Aversa, Samantha, Baek, Seon Hwa, Bates, Kelly, Bathery, Alyssa, Bayer, Johanna M.M., Beedham, Rebecca, Bilgrami, Zarina, Birch, Sonia, Bonoldi, Ilaria, Borders, Owen, Borgatti, Renato, Brown, Lisa, Bruna, Alejandro, Carrington, Holly, Castillo-Passi, Rolando I., Chen, Justine, Cheng, Nicholas, Ching, Ann Ee, Clifford, Chloe, Colton, Beau Luke, Contreras, Pamela, Corral, Sebastián, Damiani, Stefano, Done, Monica, Estradé, Andrés, Etuka, Brandon Asika, Formica, Melanie, Furlan, Rachel, Geljic, Mia, Germano, Carmela, Getachew, Ruth, Goncalves, Mathias, Haidar, Anastasia, Hartmann, Jessica, Jo, Anna, John, Omar, Kerins, Sarah, Kerr, Melissa, Kesselring, Irena, Kim, Honey, Kim, Nicholas, Kinney, Kyle, Krcmar, Marija, Kotler, Elana, Lafanechere, Melanie, Lee, Clarice, Llerena, Joshua, Markiewicz, Christopher, Matnejl, Priya, Maturana, Alejandro, Mavambu, Aissata, Mayol-Troncoso, Rocío, McDonnell, Amelia, McGowan, Alessia, McLaughlin, Danielle, McIlhenny, Rebecca, McQueen, Brittany, Mebrahtu, Yohannes, Mensi, Martina, Hui, Christy Lai Ming, Suen, Yi Nam, Wong, Stephanie Ming Yin, Morrell, Neal, Omar, Mariam, Partridge, Alice, Phassouliotis, Christina, Pichiecchio, Anna, Politi, Pierluigi, Porter, Christian, Provenzani, Umberto, Prunier, Nicholas, Raj, Jasmine, Ray, Susan, Rayner, Victoria, Reyes, Manuel, Reynolds, Kate, Rush, Sage, Salinas, Cesar, Shetty, Jashmina, Snowball, Callum, Tod, Sophie, Turra-Fariña, Gabriel, Valle, Daniela, Veale, Simone, Whitson, Sarah, Wickham, Alana, Youn, Sarah, Zamorano, Francisco, Zavaglia, Elissa, Zinberg, Jamie, Woods, Scott W., and Shenton, Martha E.

Abstract

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., 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.

Published
2024

39. Integrated Lipidomics and Proteomics Point to Early Blood-Based Changes in Childhood Preceding Later Development of Psychotic Experiences: Evidence From the Avon Longitudinal Study of Parents and Children

Author

Madrid-Gambin, Francisco, Föcking, Melanie, Sabherwal, Sophie, Heurich, Meike, English, Jane A., O’Gorman, Aoife, Suvitaival, Tommi, Ahonen, Linda, Cannon, Mary, Lewis, Glyn, Mattila, Ismo, Scaife, Caitriona, Madden, Sean, Hyötyläinen, Tuulia, Orešič, Matej, Zammit, Stanley, Cagney, Gerard, Cotter, David R., and Brennan, Lorraine

Published
2019
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41. Predicting childhood ADHD-linked symptoms from prenatal and perinatal data in the ABCD cohort.

Author

Dooley, Niamh, Healy, Colm, Cotter, David, Clarke, Mary, and Cannon, Mary

Subjects
CHILD Behavior Checklist, ATTENTION-deficit hyperactivity disorder, INCOME, PREGNANCY complications, NEURAL development
Abstract

This study investigates the capacity of pre/perinatal factors to predict attention-deficit/hyperactivity disorder (ADHD) symptoms in childhood. It also explores whether predictive accuracy of a pre/perinatal model varies for different groups in the population. We used the ABCD (Adolescent Brain Cognitive Development) cohort from the United States (N = 9975). Pre/perinatal information and the Child Behavior Checklist were reported by the parent when the child was aged 9–10. Forty variables which are generally known by birth were input as potential predictors including maternal substance-use, obstetric complications and child demographics. Elastic net regression with 5-fold validation was performed, and subsequently stratified by sex, race/ethnicity, household income and parental psychopathology. Seventeen pre/perinatal variables were identified as robust predictors of ADHD symptoms in this cohort. The model explained just 8.13% of the variance in ADHD symptoms on average (95% CI = 5.6%–11.5%). Predictive accuracy of the model varied significantly by subgroup, particularly across income groups, and several pre/perinatal factors appeared to be sex-specific. Results suggest we may be able to predict childhood ADHD symptoms with modest accuracy from birth. This study needs to be replicated using prospectively measured pre/perinatal data. [ABSTRACT FROM AUTHOR]

Published
2024
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43. Functional Outcomes Among Young People With Trajectories of Persistent Childhood Psychopathology

Author

Dooley, Niamh, primary, Kennelly, Brendan, additional, Arseneault, Louise, additional, Zammit, Stanley, additional, Whelan, Rob, additional, Mosley, Olivia, additional, Cotter, Delia, additional, Clarke, Mary, additional, Cotter, David R., additional, Kelleher, Ian, additional, McGorry, Pat, additional, Healy, Colm, additional, and Cannon, Mary, additional

Published
2023
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