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Evaluation of the role of lisdexamfetamine on attention-deficit/hyperactivity disorder common psychiatric comorbidities: mechanistic insights on binge eating disorder and depression

Published online by Cambridge University Press:  01 September 2022

J.R. Gutiérrez Casares*
Affiliation:
Hospital Perpetuo Socorro, Unidad Ambulatoria De Psiquiatría Y Salud Mental De La Infancia, Niñez Y Adolescencia, Badajoz, Spain
J. Quintero
Affiliation:
Hospital Universitario Infanta Leonor. Universidad Complutense., Servicio De Psiquiatría, Madrid, Spain
P. Rodríguez
Affiliation:
Takeda Farmacéutica España, Medical Department, Madrid, Spain
C. Montoto
Affiliation:
Takeda Farmacéutica España, Medical Department, Madrid, Spain
T. Pozo-Rubio
Affiliation:
Takeda Farmacéutica España, Medical Department, Madrid, Spain
C. Segú-Vergés
Affiliation:
Anaxomics Biotech, Molecular Health Department, Barcelona, Spain
M. Coma
Affiliation:
Anaxomics SL, Molecular Physiology, Barcelona, Spain
*
*Corresponding author.

Abstract

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Introduction

Attention-deficit/hyperactivity disorder (ADHD) is a psychiatric condition in which children suffer from inattentiveness, hyperactivity, and or impulsivity. ADHD patients frequently present comorbid psychiatric disorders: in adults, the most common are depression, substance-related disorders, anxiety, and eating disorders. Children and adolescents present conduct disorders, learning disorders, anxiety and depression. Since ADHD and its psychiatric comorbidities share similarities, a partial overlap of their pathophysiological mechanisms has been suggested. ADHD, can be treated with lisdexamfetamine (LDX), a prodrug indicated by the FDA as treatment for binge eating disorder (BED) and ADHD.

Objectives

To evaluate, through a systems biology-based in silico method, the efficacy of LDX as first-line ADHD treatment to improve ADHD psychiatric comorbidities. Furthermore, we explored the molecular mechanisms behind LDX’s action.

Methods

We used the systems biology- and artificial intelligence-based Therapeutic Performance Mapping System (TPMS) technology to characterise and model ADHD comorbidities. Artificial neural networks (ANNs) algorithms were used to identify specific relationships between protein sets. Finally, we modelled the mechanisms of LDX for the most relevant comorbidities by using sampling methods and comorbidity-specific virtual patients in each case.

Results

This study predicts a strong relationship between LDX’s targets and proteins involved in BED and depression (Fig 1). Our results could be explained not only by LDX role in neurotransmitter regulation, but also by modulation of neuroplasticity (BDNF/NTRK2, GSK3), neuroinflammation (interleukins, inflammasome), oxidative stress (NOS2, SOD), and the hypothalamic-pituitary-adrenal (HPA) axis (CRH, CRHR1).

Conclusions

These findings could be used in pre-clinical and clinical future investigations to assess optimal treatment for ADHD patients with psychiatric comorbidities.

Disclosure

JRGC: speaker for Takeda and Shire, research funding from Shire and Lumbeck, collaborations with Laboratoires Servier JQ: speaker or scientific advisor for Takeda, Janssen, Rubio. Investigation funding: Instituto de Salud Carlos III. PR, CM, TPR: full-ti

Type
Abstract
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of the European Psychiatric Association
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