Literature DB >> 29701114

Blood biomarkers and treatment response in major depression.

Cristina Mora1, Valentina Zonca1,2, Marco A Riva2, Annamaria Cattaneo1,3.   

Abstract

INTRODUCTION: Millions of people worldwide suffer from depression, but despite advances in pharmacological therapies, many patients do not experience symptomatic remission or treatment response, even after treatments with several medications. As such, there is an urgent need to identify biomarkers that can not only predict the treatment response but also allow a rational selection of optimal therapy for each patient. Areas covered: This review examines the recent findings, coming from different 'omic sciences,' in human blood-based biomarkers associated with antidepressant treatment response with particular attention on genetic/epigenetic and biochemical biomarkers. Specific emphasis will be placed on key molecules related to neuroplasticity and inflammation because of their involvement in the pathophysiology of depression and antidepressant response. Expert commentary: Biomarker identification is still an ongoing work. Indeed, to date, no biomarkers have sufficiently proven specificity, sensitivity, and reproducibility to be used in the clinical setting. However, 'omic' approaches hold great promise in identifying multiple features for predicting antidepressant response, making a personalized treatment strategy possible for each patient, and thereby assist with quick and efficacious responsiveness. It is thus necessary that future studies take an integrative approach that includes clinical assessment, environment influences, and molecular and biological biomarkers.

Entities:  

Keywords:  biomarkers; cytokines; epigenomics; major depressive disorder; pharmacogenomics

Mesh:

Substances:

Year:  2018        PMID: 29701114     DOI: 10.1080/14737159.2018.1470927

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  15 in total

1.  Analyzing Non-verbal Behavior Throughout Recovery in a Sample of Depressed Patients Receiving Deep Brain Stimulation.

Authors:  Micaela V McCall; Patricio Riva-Posse; Steven J Garlow; Helen S Mayberg; Andrea L Crowell
Journal:  Neurol Psychiatry Brain Res       Date:  2020-06-11

2.  Predicting treatment outcome in depression: an introduction into current concepts and challenges.

Authors:  Nicolas Rost; Elisabeth B Binder; Tanja M Brückl
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2022-05-19       Impact factor: 5.270

Review 3.  Roles, molecular mechanisms, and signaling pathways of TMEMs in neurological diseases.

Authors:  Qinghong Chen; Junlin Fang; Hui Shen; Liping Chen; Mengying Shi; Xianbao Huang; Zhiwei Miao; Yating Gong
Journal:  Am J Transl Res       Date:  2021-12-15       Impact factor: 4.060

4.  Prediction of Antidepressant Efficacy by Cognitive Function in First-Episode Late-Life Depression: A Pilot Study.

Authors:  Weigang Pan; Chaomeng Liu; Dandi Zhu; Yi Liu; Peixian Mao; Yanping Ren; Xin Ma
Journal:  Front Psychiatry       Date:  2022-05-20       Impact factor: 5.435

5.  Inflammatory mediators and dual depression: Potential biomarkers in plasma of primary and substance-induced major depression in cocaine and alcohol use disorders.

Authors:  Nuria García-Marchena; Marta Barrera; Joan Ignasi Mestre-Pintó; Pedro Araos; Antonia Serrano; Clara Pérez-Mañá; Esther Papaseit; Francina Fonseca; Juan Jesús Ruiz; Fernando Rodríguez de Fonseca; Magí Farré; Francisco Javier Pavón; Marta Torrens
Journal:  PLoS One       Date:  2019-03-14       Impact factor: 3.240

Review 6.  miRNAs in depression vulnerability and resilience: novel targets for preventive strategies.

Authors:  Nicola Lopizzo; Valentina Zonca; Nadia Cattane; Carmine Maria Pariante; Annamaria Cattaneo
Journal:  J Neural Transm (Vienna)       Date:  2019-07-26       Impact factor: 3.575

7.  Comorbid Chronic Pain and Depression: Shared Risk Factors and Differential Antidepressant Effectiveness.

Authors:  William H Roughan; Adrián I Campos; Luis M García-Marín; Gabriel Cuéllar-Partida; Michelle K Lupton; Ian B Hickie; Sarah E Medland; Naomi R Wray; Enda M Byrne; Trung Thanh Ngo; Nicholas G Martin; Miguel E Rentería
Journal:  Front Psychiatry       Date:  2021-04-12       Impact factor: 4.157

8.  Factors related to retinal nerve fiber layer thickness in bipolar disorder patients and major depression patients.

Authors:  Yanhong Liu; Yongsheng Tong; Lvzhen Huang; Jingxu Chen; Shaoxiao Yan; Fude Yang
Journal:  BMC Psychiatry       Date:  2021-06-10       Impact factor: 3.630

9.  Biomarkers for response in major depression: comparing paroxetine and venlafaxine from two randomised placebo-controlled clinical studies.

Authors:  Lucia Carboni; Dennis J McCarthy; Bruno Delafont; Michele Filosi; Elena Ivanchenko; Emiliangelo Ratti; Susan M Learned; Robert Alexander; Enrico Domenici
Journal:  Transl Psychiatry       Date:  2019-08-02       Impact factor: 6.222

Review 10.  Neuro-dermatological association between psoriasis and depression: an immune-mediated inflammatory process validating skin-brain axis theory.

Authors:  Shahzaib Maqbool; Arham Ihtesham; Muhammad Nadeem Langove; Sara Jamal; Tabdar Jamal; Hafiz Abu Safian
Journal:  AIMS Neurosci       Date:  2021-03-10
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