Cargando…

Network science approach elucidates integrative genomic-metabolomic signature of antidepressant response and lifetime history of attempted suicide in adults with major depressive disorder

Background: Individuals with major depressive disorder (MDD) and a lifetime history of attempted suicide demonstrate lower antidepressant response rates than those without a prior suicide attempt. Identifying biomarkers of antidepressant response and lifetime history of attempted suicide may help au...

Descripción completa

Detalles Bibliográficos
Autores principales:	Grant, Caroline W., Wilton, Angelina R., Kaddurah-Daouk, Rima, Skime, Michelle, Biernacka, Joanna, Mayes, Taryn, Carmody, Thomas, Wang, Liewei, Lazaridis, Konstantinos, Weinshilboum, Richard, Bobo, William V., Trivedi, Madhukar H., Croarkin, Paul E., Athreya, Arjun P.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Pharmacology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573988/ https://www.ncbi.nlm.nih.gov/pubmed/36263124 http://dx.doi.org/10.3389/fphar.2022.984383

Ejemplares similares

Multi-omics driven predictions of response to acute phase combination antidepressant therapy: a machine learning approach with cross-trial replication
por: Joyce, Jeremiah B., et al.
Publicado: (2021)

Multi-Omics Characterization of Early- and Adult-Onset Major Depressive Disorder
por: Grant, Caroline W., et al.
Publicado: (2022)

Prediction of short-term antidepressant response using probabilistic graphical models with replication across multiple drugs and treatment settings
por: Athreya, Arjun P., et al.
Publicado: (2021)

Evidence for machine learning guided early prediction of acute outcomes in the treatment of depressed children and adolescents with antidepressants
por: Athreya, Arjun P., et al.
Publicado: (2022)

Pharmacogenomics‐Driven Prediction of Antidepressant Treatment Outcomes: A Machine‐Learning Approach With Multi‐trial Replication
por: Athreya, Arjun P., et al.
Publicado: (2019)

Addressing adherence to antidepressant treatment for depression
por: Mayes, Taryn L., et al.
Publicado: (2020)

Beta-defensin 1, aryl hydrocarbon receptor and plasma kynurenine in major depressive disorder: metabolomics-informed genomics
por: Liu, Duan, et al.
Publicado: (2018)

ERICH3: vesicular association and antidepressant treatment response
por: Liu, Duan, et al.
Publicado: (2020)

Metabolic Profiling of Patients with Schizophrenia
por: Kaddurah-Daouk, Rima
Publicado: (2006)

The 9-item Concise Health Risk Tracking – Self-Report (CHRT-SR(9)) measure of suicidal risk: Performance in adult primary care patients
por: Nandy, Karabi, et al.
Publicado: (2023)

TSPAN5, ERICH3 and selective serotonin reuptake inhibitors in major depressive disorder: pharmacometabolomics-informed pharmacogenomics
por: Gupta, M, et al.
Publicado: (2016)

Considering depression as a secondary outcome in the optimization of physical activity interventions for breast cancer survivors in the PACES trial: a factorial randomized controlled trial
por: Rethorst, Chad D., et al.
Publicado: (2023)

The Concise Health Risk Tracking ‐ Self‐Report (CHRT‐SR)—A measure of suicidal risk: Performance in adolescent outpatients
por: Nandy, Karabi, et al.
Publicado: (2022)

The effectiveness of enhanced evidence-based care for depressive disorders: a meta-analysis of randomized controlled trials
por: Xiao, Le, et al.
Publicado: (2021)

PISTACHIo (PreemptIon of diSrupTive behAvior in CHIldren): real-time monitoring of sleep and behavior of children 3–7 years old receiving parent–child interaction therapy augment with artificial intelligence — the study protocol, pilot study
por: Saliba, Maria, et al.
Publicado: (2023)

Current Concepts in Pharmacometabolomics, Biomarker Discovery, and Precision Medicine
por: Beger, Richard D., et al.
Publicado: (2020)

Epigenetic regulation of GABA catabolism in iPSC-derived neurons: The molecular links between FGF21 and histone methylation
por: Ho, Ming-Fen, et al.
Publicado: (2023)

ACE2 and TMPRSS2 SARS-CoV-2 infectivity genes: deep mutational scanning and characterization of missense variants
por: Zhang, Lingxin, et al.
Publicado: (2022)

Model-based unsupervised learning informs metformin-induced cell-migration inhibition through an AMPK-independent mechanism in breast cancer
por: Athreya, Arjun P., et al.
Publicado: (2017)

Metabolomic signature of exposure and response to citalopram/escitalopram in depressed outpatients
por: Bhattacharyya, Sudeepa, et al.
Publicado: (2019)

Clinical predictors of response to methotrexate in patients with rheumatoid arthritis: a machine learning approach using clinical trial data
por: Duong, Stephanie Q., et al.
Publicado: (2022)

A review of quetiapine in combination with antidepressant therapy in patients with depression
por: Daly, Ella J, et al.
Publicado: (2007)

Pro-Inflammatory Cytokines as Predictors of Antidepressant Effects of Exercise in Major Depressive Disorder
por: Rethorst, Chad D., et al.
Publicado: (2012)

Antidepressants Medications and the Relative Risk of Suicide Attempt
por: Mandour, R. A.
Publicado: (2012)

Psychometrics of the Concise Health Risk Tracking Self-Report (CHRT-SR(16)) Assessment of Suicidality in a Sample of Adults with Moderate to Severe Methamphetamine Use Disorder: Findings from the ADAPT-2 Randomized Trial
por: Trombello, Joseph M, et al.
Publicado: (2023)

Personalized Antidepressant Selection and Pathway to Novel Treatments: Clinical Utility of Targeting Inflammation
por: Jha, Manish K., et al.
Publicado: (2018)

Preliminary Evidence for Anhedonia as a Marker of Sexual Trauma in Female Adolescents
por: Sonmez, Ayse Irem, et al.
Publicado: (2021)

Plasma TNFSF10 levels associated with acamprosate treatment response in patients with alcohol use disorder
por: Ho, Ming-Fen, et al.
Publicado: (2022)

Metformin Pharmacogenomics: Biomarkers to Mechanisms
por: Wang, Liewei, et al.
Publicado: (2014)

Pharmacogenomics in Practice
por: Wang, Liewei, et al.
Publicado: (2019)

Selective Serotonin Reuptake Inhibitor Pharmaco-Omics: Mechanisms and Prediction
por: Nguyen, Thanh Thanh L., et al.
Publicado: (2021)

Module-Based Association Analysis for Omics Data with Network Structure
por: Wang, Zhi, et al.
Publicado: (2015)

Metabolomic signatures of drug response phenotypes for ketamine and esketamine in subjects with refractory major depressive disorder: new mechanistic insights for rapid acting antidepressants
por: Rotroff, D M, et al.
Publicado: (2016)

Pilot Study of Metabolomic Clusters as State Markers of Major Depression and Outcomes to CBT Treatment
por: Bhattacharyya, Sudeepa, et al.
Publicado: (2019)

An electronic health record driven algorithm to identify incident antidepressant medication users
por: Bobo, William V, et al.
Publicado: (2014)

Pharmacogenomic Discovery to Function and Mechanism: Breast Cancer as a Case Study
por: Wang, Liewei, et al.
Publicado: (2017)

Associations between purine metabolites and monoamine neurotransmitters in first-episode psychosis
por: Yao, Jeffrey K., et al.
Publicado: (2013)

Alterations in acylcarnitines, amines, and lipids inform about the mechanism of action of citalopram/escitalopram in major depression
por: MahmoudianDehkordi, Siamak, et al.
Publicado: (2021)

Use of Mobile and Wearable Artificial Intelligence in Child and Adolescent Psychiatry: Scoping Review
por: Welch, Victoria, et al.
Publicado: (2022)

Relationship between Lifetime Suicide Attempts and Schizotypal Traits in Patients with Schizophrenia
por: Teraishi, Toshiya, et al.
Publicado: (2014)

Cannot write session to /tmp/vufind_sessions/sess_9qgofm74es2h45mrh8bi3b1qu5