Maria J Arranz

Dr. Maria J Arranz

Fundació Mútua Terrassa, Terrassa, Spain
orcid

Research Focus & Metrics

Academic Career Length

27Years (2000-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 June 2022 in Nature Genetics
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DADanny Antaki
Danny Antaki
JGJames Guevara
James Guevara
AMAdam X. Maihofer
Adam X. Maihofer
MKMarieke Klein
Marieke Klein
MGMadhusudan Gujral
Madhusudan Gujral
JSJonathan Sebat
Jonathan Sebat

20 April 2018 in Science
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WBWilliam M. Brandler
William M. Brandler
DADanny Antaki
Danny Antaki
MGMadhusudan Gujral
Madhusudan Gujral
MKMorgan L. Kleiber
Morgan L. Kleiber
JWJoe Whitney
Joe Whitney
JSJonathan Sebat
Jonathan Sebat
Inherited variation contributes to autism: About one-quarter of genetic variants that are associated with autism spectrum disorder (ASD) are due to de novo mutations in protein-coding genes. Brandler et al. wanted to determine whether changes in noncoding regions of the genome are associated with autism. They applied whole-genome sequencing to ∼2600 families with at least one affected child. Children with ASD had inherited structural variants in noncoding regions from their father. Regulatory regions of some specific genes were disrupted among multiple families, supporting the idea that a component of autism risk involves inherited noncoding variation. Science , this issue p. 327

25 July 2019 in Translational Psychiatry
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MAMaria J Arranz
Maria J Arranz
AGAlex Gonzalez-Rodriguez
Alex Gonzalez-Rodriguez
JPJosefina Perez-Blanco
Josefina Perez-Blanco
RPRafael Penadés
Rafael Penadés
BGBlanca Gutierrez
Blanca Gutierrez
RCRosa Catalan
Rosa Catalan
Antipsychotic drugs fail to achieve adequate response in 30–50% of treated patients and about 50% of them develop severe and lasting side effects. Treatment failure results in poorer prognosis with devastating repercussions for the patients, carers and broader society. Our study evaluated the clinical benefits of a pharmacogenetic intervention for the personalisation of antipsychotic treatment. Pharmacogenetic information in key CYP polymorphisms was used to adjust clinical doses in a group of patients who started or switched treatment with antipsychotic drugs (PharmG+, N = 123), and their results were compared with those of a group of patients treated following existing clinical guides (PharmG−, N = 167). There was no evidence of significant differences in side effects between the two arms. Although patients who had their antipsychotic dose adjusted according to CYPs polymorphisms (PharmG+) had a bigger reduction in side effects than those treated as usual (PharmG−), the difference was not statistically significant (p > 0.05 for all comparisons). However, PharmG+ patients treated with CYP2D6 substrates that were carriers of CYP2D6 UMs or PMs variants showed a significantly higher improvement in global, psychic and other UKU side effects than PharmG− patients (p = 0.02, p = 0.05 and p = 0.01, respectively). PharmG+ clozapine treated patients with CYP1A2 or CYP2C19 UM and PMs variants also showed higher reductions in UKU scores than PharmG− clozapine patients in general. However, those differences were not statistically significant. Pharmacogenetic interventions may improve the safety of antipsychotic treatments by reducing associated side effects. This intervention may be particularly useful when considering treatment with antipsychotics with one major metabolic pathway, and therefore more susceptible to be affected by functional variants of CYP enzymes.

1 March 2021 in Behavioural Brain Research
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MAMaria J Arranz
Maria J Arranz
JSJuliana Salazar
Juliana Salazar
MHMarta Hernández
Marta Hernández

1 August 2019 in European Psychiatry
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MDMetodi Draganov
Metodi Draganov
MAMaria J Arranz
Maria J Arranz
JSJuliana Salazar
Juliana Salazar
JDJavier de Diego-Adeliño
Javier de Diego-Adeliño
CGCristina Gallego-Fabrega
Cristina Gallego-Fabrega
MPMaria J. Portella
Maria J. Portella
Background: Although pharmacogenetics for major depressive disorder (MDD) is gaining momentum, the role of genetics in differences in response to antidepressant treatment is controversial, as they depend on multifactorial and polygenic phenotypes. Previous studies focused on the genes of the serotonergic system, leaving apart other pathological factors such as the inflammatory pathway. The main objective of the study was to assess whether treatment response might be associated with specific inflammation-related genetic variants or their methylation status.Methods: 41 SNPs in 8 inflammatory genes: interleukin (IL) 1-β, IL2, IL6, IL6R, IL10, IL18, tumor necrosis factor (TNF)-α and interferon (IFN)-γ were genotyped in 153 patients with MDD, who were evaluated with the Mausdley Staging Method to determine treatment response profiles. Pyrosequencing reactions and methylation quantification were performed in a PyroMark Q24 in 5 selected CpG islands of IL1- β, IL6 and IL6R. Linear and logistic regression analyses were conducted, including age and gender as covariates using PLINK 1.07.Results: Allelic distribution of IL1- β rs1143643 was significantly associated with MSM scores (FDR corrected p = 0.04). Allelic distribution of IL6R rs57569414 showed a trend towards significance with MSM scores (p = 0.002; FDR corrected p = 0.07). Haplotype analyses showed associations between allelic combinations of IL1-β and IL10 with treatment response (FDR corrected p < 0.01). Methylation percentage of treatment responders was only higher in an IL6R CpG island (p < 0.05).Conclusions: These exploratory findings suggest that IL1-β and, marginally, IL6R polymorphisms may affect treatment response in major depression. If confirmed, these results may account for the heterogeneous phenotypes of major depression that underlie differences in treatment response.

7 February 2024 in Pharmaceutics
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MHMarta Hernández
Marta Hernández
NCNatalia Cullell
Natalia Cullell
MCMarc Cendrós
Marc Cendrós
ASAlexandre Serra-LLovich
Alexandre Serra-LLovich
MAMaria J Arranz
Maria J Arranz
Decades of pharmacogenetic research have revealed genetic biomarkers of clinical response to antipsychotics. Genetic variants in antipsychotic targets, dopamine and serotonin receptors in particular, and in metabolic enzymes have been associated with the efficacy and toxicity of antipsychotic treatments. However, genetic prediction of antipsychotic response based on these biomarkers is far from accurate. Despite the clinical validity of these findings, the clinical utility remains unclear. Nevertheless, genetic information on CYP metabolic enzymes responsible for the biotransformation of most commercially available antipsychotics has proven to be effective for the personalisation of clinical dosing, resulting in a reduction of induced side effects and in an increase in efficacy. However, pharmacogenetic information is rarely used in psychiatric settings as a prescription aid. Lack of studies on cost-effectiveness, absence of clinical guidelines based on pharmacogenetic biomarkers for several commonly used antipsychotics, the cost of genetic testing and the delay in results delivery hamper the implementation of pharmacogenetic interventions in clinical settings. This narrative review will comment on the existing pharmacogenetic information, the clinical utility of pharmacogenetic findings, and their current and future implementations.