A stratified treatment algorithm in psychiatry: a program on stratified pharmacogenomics in severe mental illness (Psych-STRATA): concept, objectives and methodologies of a multidisciplinary project funded by Horizon Europe

B. T. Baune; S. E. Fromme; M. Aberg; M. Adli; A. Afantitis; I. Akkouh; O. A. Andreassen; C. Angulo; S. Barlati; C. Brasso; P. Bucci; M. Budde; P. Buspavanich; V. Cavone; K. Demyttenaere; C. M. Diaz-Caneja; M. Dierssen; S. Djurovic; M. Driessen; U. W. Ebner-Priemer; J. Engelmann; S. Englisch; C. Fabbri; P. Fossati; H. Fröhlich; S. Gasser; N. Gottlieb; E. Heirman; A. Hofer; O. Howes; L. Ilzarbe; H. Jeung-Maarse; L. V. Kessing; T. D. Kockler; M. Landén; L. Levi; K. Lieb; N. Lorenzon; J. Luykx; M. Manchia; M. Martinez de Lagran; A. Minelli; C. Moreno; A. Mucci; B. Müller-Myhsok; P. Nilsson; C. Okhuijsen-Pfeifer; K. D. Papavasileiou; S. Papiol; A. F. Pardinas; P. Paribello; C. Pisanu; M.-C. Potier; A. Reif; R. Ricken; S. Ripke; P. Rocca; D. Scherrer; C. Schiweck; K. O. Schubert; T. G. Schulze; A. Serretti; A. Squassina; C. Stephan; A. Tsoumanis; E. Van der Eycken; E. Vieta; A. Vita; J. T. R. Walters; D. Weichert; M. Weiser; I. R. Willcocks; I. Winter-van Rossum; A. H. Young; M. J. Ziller

doi:10.1007/s00406-024-01944-3

A stratified treatment algorithm in psychiatry: a program on stratified pharmacogenomics in severe mental illness (Psych-STRATA): concept, objectives and methodologies of a multidisciplinary project funded by Horizon Europe

B. T. Baune^*, S. E. Fromme, M. Aberg, M. Adli, A. Afantitis, I. Akkouh, O. A. Andreassen, C. Angulo, S. Barlati, C. Brasso, P. Bucci, M. Budde, P. Buspavanich, V. Cavone, K. Demyttenaere, C. M. Diaz-Caneja, M. Dierssen, S. Djurovic, M. Driessen, U. W. Ebner-PriemerJ. Engelmann, S. Englisch, C. Fabbri, P. Fossati, H. Fröhlich, S. Gasser, N. Gottlieb, E. Heirman, A. Hofer, O. Howes, L. Ilzarbe, H. Jeung-Maarse, L. V. Kessing, T. D. Kockler, M. Landén, L. Levi, K. Lieb, N. Lorenzon, J. Luykx, M. Manchia, M. Martinez de Lagran, A. Minelli, C. Moreno, A. Mucci, B. Müller-Myhsok, P. Nilsson, C. Okhuijsen-Pfeifer, K. D. Papavasileiou, S. Papiol, A. F. Pardinas, P. Paribello, C. Pisanu, M.-C. Potier, A. Reif, R. Ricken, S. Ripke, P. Rocca, D. Scherrer, C. Schiweck, K. O. Schubert, T. G. Schulze, A. Serretti, A. Squassina, C. Stephan, A. Tsoumanis, E. Van der Eycken, E. Vieta, A. Vita, J. T. R. Walters, D. Weichert, M. Weiser, I. R. Willcocks, I. Winter-van Rossum, A. H. Young, M. J. Ziller

^*Corresponding author af dette arbejde

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Abstract

Schizophrenia (SCZ), bipolar (BD) and major depression disorder (MDD) are severe psychiatric disorders that are challenging to treat, often leading to treatment resistance (TR). It is crucial to develop effective methods to identify and treat patients at risk of TR at an early stage in a personalized manner, considering their biological basis, their clinical and psychosocial characteristics. Effective translation of theoretical knowledge into clinical practice is essential for achieving this goal. The Psych-STRATA consortium addresses this research gap through a seven-step approach. First, transdiagnostic biosignatures of SCZ, BD and MDD are identified by GWAS and multi-modal omics signatures associated with treatment outcome and TR (steps 1 and 2). In a next step (step 3), a randomized controlled intervention study is conducted to test the efficacy and safety of an early intensified pharmacological treatment. Following this RCT, a combined clinical and omics-based algorithm will be developed to estimate the risk for TR. This algorithm-based tool will be designed for early detection and management of TR (step 4). This algorithm will then be implemented into a framework of shared treatment decision-making with a novel mental health board (step 5). The final focus of the project is based on patient empowerment, dissemination and education (step 6) as well as the development of a software for fast, effective and individualized treatment decisions (step 7). The project has the potential to change the current trial and error treatment approach towards an evidence-based individualized treatment setting that takes TR risk into account at an early stage.

Originalsprog	Engelsk
Tidsskrift	European Archives of Psychiatry and Clinical Neuroscience
Vol/bind	275
Sider (fra-til)	1453-1464
Antal sider	12
ISSN	0940-1334
DOI	https://doi.org/10.1007/s00406-024-01944-3
Status	Udgivet - 2025

Bibliografisk note

Funding Information:
Open Access funding enabled and organized by Projekt DEAL. This work of Psych-STRATA project was supported by funding from the European Union\u2019s Horizon Europe research and innovation programme under grant agreement No 101057454. This work was supported by Departament de Salut, Generalitat de Catalunya, SLD044/20/000001, Mara Dierssen, Fundaci\u00F3 la Marat\u00F3 de TV3, 202212-30, Mara Dierssen, NIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, Agence Nationale de la Recherche, ANR-10-AIHU-06, Marie-Claude Potier, HORIZON EUROPE Framework Programme, 101057454.

Funding Information:
The Psych-STRATA project has received funding from the European Union\u2019s Horizon Europe research and innovation programme under grant agreement No 101057454. BTB received funding from the German Federal Ministry of Health (BMG) [2521FSB004_PROMPT, ERAPERMED2020] and La Marato TV3: SLD044/20/000001 (Convocatoria ERAPERMED2020). MD received funding from PROMPT and La Marato TV3: SLD044/20/000001 (Convocatoria ERAPERMED2020) + Amb el suport del Departament de Salut, Fundaci\u00F3 La Marat\u00F3 de TV3, 202212-30. AHY independent research is funded by the National Institute for Health and Care Research (NIHR) Maudsley Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King\u2019s College London. The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care. For the purposes of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Accepted Author Manuscript version arising from this submission. M-CP was supported with funding from the Investissement d\u2019Avenir (ANR-10-AIHU-06).

Publisher Copyright:
© The Author(s) 2024.

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Citationsformater

Baune, B. T., Fromme, S. E., Aberg, M., Adli, M., Afantitis, A., Akkouh, I., Andreassen, O. A., Angulo, C., Barlati, S., Brasso, C., Bucci, P., Budde, M., Buspavanich, P., Cavone, V., Demyttenaere, K., Diaz-Caneja, C. M., Dierssen, M., Djurovic, S., Driessen, M., ... Ziller, M. J. (2025). A stratified treatment algorithm in psychiatry: a program on stratified pharmacogenomics in severe mental illness (Psych-STRATA): concept, objectives and methodologies of a multidisciplinary project funded by Horizon Europe. European Archives of Psychiatry and Clinical Neuroscience, 275, 1453-1464. https://doi.org/10.1007/s00406-024-01944-3

A stratified treatment algorithm in psychiatry: a program on stratified pharmacogenomics in severe mental illness (Psych-STRATA): concept, objectives and methodologies of a multidisciplinary project funded by Horizon Europe. / Baune, B. T.; Fromme, S. E.; Aberg, M. et al.
I: European Archives of Psychiatry and Clinical Neuroscience, Bind 275, 2025, s. 1453-1464.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

Baune, BT, Fromme, SE, Aberg, M, Adli, M, Afantitis, A, Akkouh, I, Andreassen, OA, Angulo, C, Barlati, S, Brasso, C, Bucci, P, Budde, M, Buspavanich, P, Cavone, V, Demyttenaere, K, Diaz-Caneja, CM, Dierssen, M, Djurovic, S, Driessen, M, Ebner-Priemer, UW, Engelmann, J, Englisch, S, Fabbri, C, Fossati, P, Fröhlich, H, Gasser, S, Gottlieb, N, Heirman, E, Hofer, A, Howes, O, Ilzarbe, L, Jeung-Maarse, H, Kessing, LV, Kockler, TD, Landén, M, Levi, L, Lieb, K, Lorenzon, N, Luykx, J, Manchia, M, Martinez de Lagran, M, Minelli, A, Moreno, C, Mucci, A, Müller-Myhsok, B, Nilsson, P, Okhuijsen-Pfeifer, C, Papavasileiou, KD, Papiol, S, Pardinas, AF, Paribello, P, Pisanu, C, Potier, M-C, Reif, A, Ricken, R, Ripke, S, Rocca, P, Scherrer, D, Schiweck, C, Schubert, KO, Schulze, TG, Serretti, A, Squassina, A, Stephan, C, Tsoumanis, A, Van der Eycken, E, Vieta, E, Vita, A, Walters, JTR, Weichert, D, Weiser, M, Willcocks, IR, Rossum, IW, Young, AH & Ziller, MJ 2025, 'A stratified treatment algorithm in psychiatry: a program on stratified pharmacogenomics in severe mental illness (Psych-STRATA): concept, objectives and methodologies of a multidisciplinary project funded by Horizon Europe', European Archives of Psychiatry and Clinical Neuroscience, bind 275, s. 1453-1464. https://doi.org/10.1007/s00406-024-01944-3

Baune BT, Fromme SE, Aberg M, Adli M, Afantitis A, Akkouh I et al. A stratified treatment algorithm in psychiatry: a program on stratified pharmacogenomics in severe mental illness (Psych-STRATA): concept, objectives and methodologies of a multidisciplinary project funded by Horizon Europe. European Archives of Psychiatry and Clinical Neuroscience. 2025;275:1453-1464. doi: 10.1007/s00406-024-01944-3

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title = "A stratified treatment algorithm in psychiatry: a program on stratified pharmacogenomics in severe mental illness (Psych-STRATA): concept, objectives and methodologies of a multidisciplinary project funded by Horizon Europe",

abstract = "Schizophrenia (SCZ), bipolar (BD) and major depression disorder (MDD) are severe psychiatric disorders that are challenging to treat, often leading to treatment resistance (TR). It is crucial to develop effective methods to identify and treat patients at risk of TR at an early stage in a personalized manner, considering their biological basis, their clinical and psychosocial characteristics. Effective translation of theoretical knowledge into clinical practice is essential for achieving this goal. The Psych-STRATA consortium addresses this research gap through a seven-step approach. First, transdiagnostic biosignatures of SCZ, BD and MDD are identified by GWAS and multi-modal omics signatures associated with treatment outcome and TR (steps 1 and 2). In a next step (step 3), a randomized controlled intervention study is conducted to test the efficacy and safety of an early intensified pharmacological treatment. Following this RCT, a combined clinical and omics-based algorithm will be developed to estimate the risk for TR. This algorithm-based tool will be designed for early detection and management of TR (step 4). This algorithm will then be implemented into a framework of shared treatment decision-making with a novel mental health board (step 5). The final focus of the project is based on patient empowerment, dissemination and education (step 6) as well as the development of a software for fast, effective and individualized treatment decisions (step 7). The project has the potential to change the current trial and error treatment approach towards an evidence-based individualized treatment setting that takes TR risk into account at an early stage.",

keywords = "Depression schizophrenia, Early detection, Early treatment, Precision psychiatry, Treatment resistance",

author = "Baune, {B. T.} and Fromme, {S. E.} and M. Aberg and M. Adli and A. Afantitis and I. Akkouh and Andreassen, {O. A.} and C. Angulo and S. Barlati and C. Brasso and P. Bucci and M. Budde and P. Buspavanich and V. Cavone and K. Demyttenaere and Diaz-Caneja, {C. M.} and M. Dierssen and S. Djurovic and M. Driessen and Ebner-Priemer, {U. W.} and J. Engelmann and S. Englisch and C. Fabbri and P. Fossati and H. Fr{\"o}hlich and S. Gasser and N. Gottlieb and E. Heirman and A. Hofer and O. Howes and L. Ilzarbe and H. Jeung-Maarse and Kessing, {L. V.} and Kockler, {T. D.} and M. Land{\'e}n and L. Levi and K. Lieb and N. Lorenzon and J. Luykx and M. Manchia and {Martinez de Lagran}, M. and A. Minelli and C. Moreno and A. Mucci and B. M{\"u}ller-Myhsok and P. Nilsson and C. Okhuijsen-Pfeifer and Papavasileiou, {K. D.} and S. Papiol and Pardinas, {A. F.} and P. Paribello and C. Pisanu and M.-C. Potier and A. Reif and R. Ricken and S. Ripke and P. Rocca and D. Scherrer and C. Schiweck and Schubert, {K. O.} and Schulze, {T. G.} and A. Serretti and A. Squassina and C. Stephan and A. Tsoumanis and {Van der Eycken}, E. and E. Vieta and A. Vita and Walters, {J. T. R.} and D. Weichert and M. Weiser and Willcocks, {I. R.} and Rossum, {I. Winter-van} and Young, {A. H.} and Ziller, {M. J.}",

note = "Publisher Copyright: {\textcopyright} The Author(s) 2024.",

year = "2025",

doi = "10.1007/s00406-024-01944-3",

language = "English",

volume = "275",

pages = "1453--1464",

journal = "European Archives of Psychiatry and Clinical Neuroscience",

issn = "0940-1334",

publisher = "Springer Medizin",

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TY - JOUR

T1 - A stratified treatment algorithm in psychiatry

T2 - a program on stratified pharmacogenomics in severe mental illness (Psych-STRATA): concept, objectives and methodologies of a multidisciplinary project funded by Horizon Europe

AU - Baune, B. T.

AU - Fromme, S. E.

AU - Aberg, M.

AU - Adli, M.

AU - Afantitis, A.

AU - Akkouh, I.

AU - Andreassen, O. A.

AU - Angulo, C.

AU - Barlati, S.

AU - Brasso, C.

AU - Bucci, P.

AU - Budde, M.

AU - Buspavanich, P.

AU - Cavone, V.

AU - Demyttenaere, K.

AU - Diaz-Caneja, C. M.

AU - Dierssen, M.

AU - Djurovic, S.

AU - Driessen, M.

AU - Ebner-Priemer, U. W.

AU - Engelmann, J.

AU - Englisch, S.

AU - Fabbri, C.

AU - Fossati, P.

AU - Fröhlich, H.

AU - Gasser, S.

AU - Gottlieb, N.

AU - Heirman, E.

AU - Hofer, A.

AU - Howes, O.

AU - Ilzarbe, L.

AU - Jeung-Maarse, H.

AU - Kessing, L. V.

AU - Kockler, T. D.

AU - Landén, M.

AU - Levi, L.

AU - Lieb, K.

AU - Lorenzon, N.

AU - Luykx, J.

AU - Manchia, M.

AU - Martinez de Lagran, M.

AU - Minelli, A.

AU - Moreno, C.

AU - Mucci, A.

AU - Müller-Myhsok, B.

AU - Nilsson, P.

AU - Okhuijsen-Pfeifer, C.

AU - Papavasileiou, K. D.

AU - Papiol, S.

AU - Pardinas, A. F.

AU - Paribello, P.

AU - Pisanu, C.

AU - Potier, M.-C.

AU - Reif, A.

AU - Ricken, R.

AU - Ripke, S.

AU - Rocca, P.

AU - Scherrer, D.

AU - Schiweck, C.

AU - Schubert, K. O.

AU - Schulze, T. G.

AU - Serretti, A.

AU - Squassina, A.

AU - Stephan, C.

AU - Tsoumanis, A.

AU - Van der Eycken, E.

AU - Vieta, E.

AU - Vita, A.

AU - Walters, J. T. R.

AU - Weichert, D.

AU - Weiser, M.

AU - Willcocks, I. R.

AU - Rossum, I. Winter-van

AU - Young, A. H.

AU - Ziller, M. J.

PY - 2025

Y1 - 2025

N2 - Schizophrenia (SCZ), bipolar (BD) and major depression disorder (MDD) are severe psychiatric disorders that are challenging to treat, often leading to treatment resistance (TR). It is crucial to develop effective methods to identify and treat patients at risk of TR at an early stage in a personalized manner, considering their biological basis, their clinical and psychosocial characteristics. Effective translation of theoretical knowledge into clinical practice is essential for achieving this goal. The Psych-STRATA consortium addresses this research gap through a seven-step approach. First, transdiagnostic biosignatures of SCZ, BD and MDD are identified by GWAS and multi-modal omics signatures associated with treatment outcome and TR (steps 1 and 2). In a next step (step 3), a randomized controlled intervention study is conducted to test the efficacy and safety of an early intensified pharmacological treatment. Following this RCT, a combined clinical and omics-based algorithm will be developed to estimate the risk for TR. This algorithm-based tool will be designed for early detection and management of TR (step 4). This algorithm will then be implemented into a framework of shared treatment decision-making with a novel mental health board (step 5). The final focus of the project is based on patient empowerment, dissemination and education (step 6) as well as the development of a software for fast, effective and individualized treatment decisions (step 7). The project has the potential to change the current trial and error treatment approach towards an evidence-based individualized treatment setting that takes TR risk into account at an early stage.

AB - Schizophrenia (SCZ), bipolar (BD) and major depression disorder (MDD) are severe psychiatric disorders that are challenging to treat, often leading to treatment resistance (TR). It is crucial to develop effective methods to identify and treat patients at risk of TR at an early stage in a personalized manner, considering their biological basis, their clinical and psychosocial characteristics. Effective translation of theoretical knowledge into clinical practice is essential for achieving this goal. The Psych-STRATA consortium addresses this research gap through a seven-step approach. First, transdiagnostic biosignatures of SCZ, BD and MDD are identified by GWAS and multi-modal omics signatures associated with treatment outcome and TR (steps 1 and 2). In a next step (step 3), a randomized controlled intervention study is conducted to test the efficacy and safety of an early intensified pharmacological treatment. Following this RCT, a combined clinical and omics-based algorithm will be developed to estimate the risk for TR. This algorithm-based tool will be designed for early detection and management of TR (step 4). This algorithm will then be implemented into a framework of shared treatment decision-making with a novel mental health board (step 5). The final focus of the project is based on patient empowerment, dissemination and education (step 6) as well as the development of a software for fast, effective and individualized treatment decisions (step 7). The project has the potential to change the current trial and error treatment approach towards an evidence-based individualized treatment setting that takes TR risk into account at an early stage.

KW - Depression schizophrenia

KW - Early detection

KW - Early treatment

KW - Precision psychiatry

KW - Treatment resistance

U2 - 10.1007/s00406-024-01944-3

DO - 10.1007/s00406-024-01944-3

M3 - Journal article

C2 - 39729102

AN - SCOPUS:85213695030

SN - 0940-1334

VL - 275

SP - 1453

EP - 1464

JO - European Archives of Psychiatry and Clinical Neuroscience

JF - European Archives of Psychiatry and Clinical Neuroscience

ER -