A pharmacometrics-informed trial simulation framework for optimizing study designs for disease-modifying treatments in rare neurological disorders

The development of new treatments for rare neurological diseases (RNDs) may be very challenging due to limited natural history data, lack of relevant biomarkers and clinical endpoints, small and heterogeneous patient populations, and other complexities. A systematic approach is needed for comparing...

Full description

Saved in:
Bibliographic Details
Main Authors: Ryeznik, Yevgen (Author) , Hilgers, Ralf-Dieter (Author) , Heussen, Nicole (Author) , Comets, Emmanuelle (Author) , Mentré, France (Author) , Hendrickx, Niels (Author) , Karlsson, Mats O. (Author) , Hooker, Andrew C. (Author) , Hamdan, Alzahra (Author) , Chen, Xiaomei (Author) , Schüle-Freyer, Rebecca (Author) , Synofzik, Matthis (Author) , Sverdlov, Oleksandr (Author)
Format: Article (Journal)
Language:English
Published: 05 August 2025
In: CPT: pharmacometrics & systems pharmacology
Year: 2025, Volume: 14, Issue: 10, Pages: 1705-1714
ISSN:2163-8306
DOI:10.1002/psp4.70082
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.1002/psp4.70082
Verlag, kostenfrei, Volltext: https://onlinelibrary.wiley.com/doi/abs/10.1002/psp4.70082
Get full text
Author Notes:Yevgen Ryeznik, Ralf-Dieter Hilgers, Nicole Heussen, Emmanuelle Comets, France Mentré, Niels Hendrickx, Mats O. Karlsson, Andrew C. Hooker, Alzahra Hamdan, Xiaomei Chen, Rebecca Schüle, Matthis Synofzik, Oleksandr Sverdlov

MARC

LEADER 00000naa a2200000 c 4500
001 1946101613
003 DE-627
005 20251215153701.0
007 cr uuu---uuuuu
008 251215s2025 xx |||||o 00| ||eng c
024 7 |a 10.1002/psp4.70082  |2 doi 
035 |a (DE-627)1946101613 
035 |a (DE-599)KXP1946101613 
040 |a DE-627  |b ger  |c DE-627  |e rda 
041 |a eng 
084 |a 33  |2 sdnb 
100 1 |a Ryeznik, Yevgen  |e VerfasserIn  |0 (DE-588)119225306X  |0 (DE-627)1670583686  |4 aut 
245 1 2 |a A pharmacometrics-informed trial simulation framework for optimizing study designs for disease-modifying treatments in rare neurological disorders  |c Yevgen Ryeznik, Ralf-Dieter Hilgers, Nicole Heussen, Emmanuelle Comets, France Mentré, Niels Hendrickx, Mats O. Karlsson, Andrew C. Hooker, Alzahra Hamdan, Xiaomei Chen, Rebecca Schüle, Matthis Synofzik, Oleksandr Sverdlov 
264 1 |c 05 August 2025 
300 |b Illustrationen 
300 |a 10 
336 |a Text  |b txt  |2 rdacontent 
337 |a Computermedien  |b c  |2 rdamedia 
338 |a Online-Ressource  |b cr  |2 rdacarrier 
500 |a Gesehen am 15.12.2025 
520 |a The development of new treatments for rare neurological diseases (RNDs) may be very challenging due to limited natural history data, lack of relevant biomarkers and clinical endpoints, small and heterogeneous patient populations, and other complexities. A systematic approach is needed for comparing various design and analysis strategies to identify “optimal” approaches for a clinical trial in a chosen RND with the given resource constraints. For this purpose, we propose a pharmacometrics-informed clinical scenario evaluation framework (CSE-PMx), which includes some important research hallmarks relevant to RND clinical trials: a disease progression model for simulating individual longitudinal outcomes, the choice of a suitable randomization method for trial design, and an option to perform subsequent statistical analysis with randomization tests. We illustrate the utility of CSE-PMx for an exemplary randomized trial to compare the disease-modifying effect of an experimental treatment versus control in patients with Autosomal-Recessive Spastic Ataxia Charlevoix Saguenay (ARSACS). In the considered example, our simulation evidence suggests that a nonlinear mixed-effects model (NLMEM) with a population-based likelihood ratio test analysis is valid, robust, and more powerful than some conventional methods such as two-sample t-test, analysis of covariance (ANCOVA), or a mixed model with repeated measurements (MMRM). Our proposed framework is very flexible and generalizable to clinical research in other rare disease indications. 
650 4 |a clinical design optimization 
650 4 |a model-informed drug development 
650 4 |a nonlinear mixed effects model 
650 4 |a pharmacometrics 
650 4 |a simulation 
700 1 |a Hilgers, Ralf-Dieter  |e VerfasserIn  |4 aut 
700 1 |a Heussen, Nicole  |e VerfasserIn  |4 aut 
700 1 |a Comets, Emmanuelle  |e VerfasserIn  |4 aut 
700 1 |a Mentré, France  |e VerfasserIn  |4 aut 
700 1 |a Hendrickx, Niels  |e VerfasserIn  |4 aut 
700 1 |a Karlsson, Mats O.  |e VerfasserIn  |4 aut 
700 1 |a Hooker, Andrew C.  |e VerfasserIn  |4 aut 
700 1 |a Hamdan, Alzahra  |e VerfasserIn  |4 aut 
700 1 |a Chen, Xiaomei  |e VerfasserIn  |4 aut 
700 1 |a Schüle-Freyer, Rebecca  |d 1975-  |e VerfasserIn  |0 (DE-588)137544472  |0 (DE-627)695848283  |0 (DE-576)30411118X  |4 aut 
700 1 |a Synofzik, Matthis  |e VerfasserIn  |4 aut 
700 1 |a Sverdlov, Oleksandr  |e VerfasserIn  |4 aut 
773 0 8 |i Enthalten in  |t CPT: pharmacometrics & systems pharmacology  |d London : Nature Publ. Group, 2012  |g 14(2025), 10 vom: Okt., Seite 1705-1714  |h Online-Ressource  |w (DE-627)733752829  |w (DE-600)2697010-7  |w (DE-576)377477370  |x 2163-8306  |7 nnas  |a A pharmacometrics-informed trial simulation framework for optimizing study designs for disease-modifying treatments in rare neurological disorders 
773 1 8 |g volume:14  |g year:2025  |g number:10  |g month:10  |g pages:1705-1714  |g extent:10  |a A pharmacometrics-informed trial simulation framework for optimizing study designs for disease-modifying treatments in rare neurological disorders 
856 4 0 |u https://doi.org/10.1002/psp4.70082  |x Verlag  |x Resolving-System  |z kostenfrei  |3 Volltext  |7 0 
856 4 0 |u https://onlinelibrary.wiley.com/doi/abs/10.1002/psp4.70082  |x Verlag  |z kostenfrei  |3 Volltext  |7 0 
951 |a AR 
992 |a 20251215 
993 |a Article 
994 |a 2025 
998 |g 137544472  |a Schüle-Freyer, Rebecca  |m 137544472:Schüle-Freyer, Rebecca  |d 910000  |d 911100  |e 910000PS137544472  |e 911100PS137544472  |k 0/910000/  |k 1/910000/911100/  |p 11 
999 |a KXP-PPN1946101613  |e 4828155171 
BIB |a Y 
SER |a journal 
JSO |a {"id":{"doi":["10.1002/psp4.70082"],"eki":["1946101613"]},"relHost":[{"note":["Gesehen am 22.01.15"],"physDesc":[{"extent":"Online-Ressource"}],"titleAlt":[{"title":"CPT: pharmacometrics and systems pharmacology"}],"id":{"zdb":["2697010-7"],"eki":["733752829"],"issn":["2163-8306"]},"origin":[{"publisherPlace":"London","dateIssuedDisp":"2012-","publisher":"Nature Publ. Group","dateIssuedKey":"2012"}],"disp":"A pharmacometrics-informed trial simulation framework for optimizing study designs for disease-modifying treatments in rare neurological disordersCPT: pharmacometrics & systems pharmacology","title":[{"title":"CPT: pharmacometrics & systems pharmacology","title_sort":"CPT: pharmacometrics & systems pharmacology"}],"recId":"733752829","type":{"media":"Online-Ressource","bibl":"periodical"},"language":["eng"],"pubHistory":["1.2012 -"],"part":{"year":"2025","text":"14(2025), 10 vom: Okt., Seite 1705-1714","pages":"1705-1714","extent":"10","volume":"14","issue":"10"}}],"origin":[{"dateIssuedDisp":"05 August 2025","dateIssuedKey":"2025"}],"note":["Gesehen am 15.12.2025"],"person":[{"role":"aut","display":"Ryeznik, Yevgen","given":"Yevgen","family":"Ryeznik","roleDisplay":"VerfasserIn"},{"given":"Ralf-Dieter","role":"aut","display":"Hilgers, Ralf-Dieter","roleDisplay":"VerfasserIn","family":"Hilgers"},{"display":"Heussen, Nicole","role":"aut","given":"Nicole","family":"Heussen","roleDisplay":"VerfasserIn"},{"given":"Emmanuelle","role":"aut","display":"Comets, Emmanuelle","family":"Comets","roleDisplay":"VerfasserIn"},{"family":"Mentré","roleDisplay":"VerfasserIn","display":"Mentré, France","role":"aut","given":"France"},{"given":"Niels","display":"Hendrickx, Niels","role":"aut","family":"Hendrickx","roleDisplay":"VerfasserIn"},{"roleDisplay":"VerfasserIn","family":"Karlsson","display":"Karlsson, Mats O.","role":"aut","given":"Mats O."},{"roleDisplay":"VerfasserIn","family":"Hooker","given":"Andrew C.","role":"aut","display":"Hooker, Andrew C."},{"role":"aut","display":"Hamdan, Alzahra","given":"Alzahra","family":"Hamdan","roleDisplay":"VerfasserIn"},{"role":"aut","display":"Chen, Xiaomei","given":"Xiaomei","roleDisplay":"VerfasserIn","family":"Chen"},{"family":"Schüle-Freyer","roleDisplay":"VerfasserIn","given":"Rebecca","display":"Schüle-Freyer, Rebecca","role":"aut"},{"role":"aut","display":"Synofzik, Matthis","given":"Matthis","family":"Synofzik","roleDisplay":"VerfasserIn"},{"family":"Sverdlov","roleDisplay":"VerfasserIn","given":"Oleksandr","role":"aut","display":"Sverdlov, Oleksandr"}],"physDesc":[{"extent":"10 S.","noteIll":"Illustrationen"}],"language":["eng"],"type":{"bibl":"article-journal","media":"Online-Ressource"},"name":{"displayForm":["Yevgen Ryeznik, Ralf-Dieter Hilgers, Nicole Heussen, Emmanuelle Comets, France Mentré, Niels Hendrickx, Mats O. Karlsson, Andrew C. Hooker, Alzahra Hamdan, Xiaomei Chen, Rebecca Schüle, Matthis Synofzik, Oleksandr Sverdlov"]},"title":[{"title":"A pharmacometrics-informed trial simulation framework for optimizing study designs for disease-modifying treatments in rare neurological disorders","title_sort":"pharmacometrics-informed trial simulation framework for optimizing study designs for disease-modifying treatments in rare neurological disorders"}],"recId":"1946101613"} 
SRT |a RYEZNIKYEVPHARMACOME0520