Abstract
Mara Zilocchi, Kirsten Broderick, Khaled Ahmed Aly, Mohan Babu
Abstract
Authors
Institutions
Provenance
crossref
Confidence 100%
ror
Confidence 99%
pubmed
Confidence 98%
europepmc
Confidence 96%
unpaywall
Confidence 95%
openalex
Confidence 95%
doaj
Confidence 92%
datacite
Confidence 0%
No local citing links have been materialized yet.
10.1038/s41380-018-0125-2
10.1038/s41380-018-0125-2
10.1016/j.tins.2008.04.001
10.1016/j.tins.2008.04.001
Genomic insights into the overlap between psychiatric disorders: implications for research and clinical practice
10.1186/gm546 · 2014
Mental disorders as networks of problems: a review of recent insights
10.1007/s00127-016-1319-z · 2017
Epigenetic regulations in neuropsychiatric disorders
10.3389/fgene.2019.00268 · 2019
10.1038/s41386-020-0648-5
10.1038/s41386-020-0648-5
10.1016/j.neuron.2017.09.055
10.1016/j.neuron.2017.09.055
10.1038/s41398-019-0643-y
10.1038/s41398-019-0643-y
10.1038/nrn3156
10.1038/nrn3156
10.1080/14789450.2020.1723419
10.1080/14789450.2020.1723419
10.1074/jbc.m115.699447
10.1074/jbc.m115.699447
10.1038/mp.2008.22
10.1038/mp.2008.22
The key roles of GSK-3beta in regulating mitochondrial activity
10.1159/000485580 · 2017
LiCl regulates mitochondrial biogenesis during megakaryocyte development
10.1016/j.jtemb.2016.10.003 · 2017
Glycogen synthase kinase-3 (GSK3) in psychiatric diseases and therapeutic interventions
10.2174/1389450110607011421 · 2006
Unresolved referenced work
Kept as external metadata until matched
Molecular characterization of bipolar disorder by comparing gene expression profiles of postmortem brains of major mental disorders
10.1038/sj.mp.4001437 · 2004
Are bipolar disorder and schizophrenia neuroanatomically distinct? an anatomical likelihood meta-analysis
2010
10.1016/j.ijdevneu.2010.08.007
10.1016/j.ijdevneu.2010.08.007
10.1016/j.biopsych.2017.09.010
10.1016/j.biopsych.2017.09.010
10.3389/fnins.2018.00386
10.3389/fnins.2018.00386
10.1038/mp.2010.136
10.1038/mp.2010.136
10.1016/j.schres.2017.02.025
10.1016/j.schres.2017.02.025
10.1016/j.neuroscience.2017.09.049
10.1016/j.neuroscience.2017.09.049
Molecular genetic overlap in bipolar disorder, schizophrenia, and major depressive disorder
10.3109/15622975.2012.662282 · 2014
Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder: A systematic review and network meta-analysis
2018
Treatment with olanzapine, fluoxetine and olanzapine/fluoxetine alters citrate synthase activity in rat brain
10.1016/j.neulet.2010.10.037 · 2011
Olanzapine plus fluoxetine treatment alters mitochondrial respiratory chain activity in the rat brain
10.1111/j.1601-5215.2011.00569.x · 2011
Brain region- and sex-specific modulation of mitochondrial glucocorticoid receptor phosphorylation in fluoxetine treated stressed rats: effects on energy metabolism
10.1016/j.psyneuen.2013.07.019 · 2013
Mitochondrial energy metabolism of rat hippocampus after treatment with the antidepressants desipramine and fluoxetine
10.1016/j.neuropharm.2017.04.025 · 2017
10.1371/journal.pone.0113662
10.1371/journal.pone.0113662
10.1016/j.nurx.2005.12.003
10.1016/j.nurx.2005.12.003
10.1016/j.schres.2019.09.007
10.1016/j.schres.2019.09.007
10.1016/j.tips.2015.02.006
10.1016/j.tips.2015.02.006
10.1016/s0039-6257(03)00004-3
10.1016/s0039-6257(03)00004-3
An oldie but goodie: lithium in the treatment of bipolar disorder through neuroprotective and neurotrophic mechanisms
2017
Lithium for schizophrenia: supporting evidence from a 12-year, nationwide health insurance database and from Akt1-deficient mouse and cellular models
10.1038/s41598-019-57340-8 · 2020
10.1038/nrdp.2018.8
10.1038/nrdp.2018.8
10.1111/j.1399-5618.2009.00714.x
10.1111/j.1399-5618.2009.00714.x
10.1038/tpj.2011.9
10.1038/tpj.2011.9
10.1016/j.jacbts.2016.11.010
10.1016/j.jacbts.2016.11.010 · doi-reference
The application of mHealth to mental health: opportunities and challenges
10.1016/s2215-0366(15)00268-0 · doi-reference
10.1126/science.1069492
10.1126/science.1069492 · doi-reference
10.1017/s0033291716000957
10.1017/s0033291716000957 · doi-reference
10.1159/000441457
10.1159/000441457 · doi-reference
Serum brain-derived neurotrophic factor in bipolar and unipolar depression: a potential adjunctive tool for differential diagnosis
10.1016/j.jpsychires.2009.04.010 · doi-reference
The new field of 'precision psychiatry'
10.1186/s12916-017-0849-x · doi-reference
Biomarkers and surrogate endpoints: preferred definitions and conceptual framework
10.1067/mcp.2001.113989 · doi-reference
Identification of biomarkers in neuropsychiatric disorders based on systems biology and epigenetics
10.3389/fgene.2019.00985 · doi-reference
Systems biological approach on neurological disorders: a novel molecular connectivity to aging and psychiatric diseases
10.1186/1752-0509-5-6 · doi-reference
10.1016/s1474-4422(11)70155-7
10.1016/s1474-4422(11)70155-7 · doi-reference
10.1016/j.cell.2014.02.012
10.1016/j.cell.2014.02.012 · doi-reference
Overview of systems biology and omics technologies
10.2174/0929867323666160926150617 · doi-reference
Systems biology approaches toward understanding primary mitochondrial diseases
10.3389/fgene.2019.00019 · doi-reference
Deep molecular response is reached by the majority of patients treated with imatinib, predicts survival, and is achieved more quickly by optimized high-dose imatinib: results from the randomized CML-study IV
10.1200/jco.2013.49.9020 · doi-reference
Twenty years with personalized medicine: past, present, and future of individualized pharmacotherapy
10.1634/theoncologist.2019-0054 · doi-reference
10.1093/bib/bby051
10.1093/bib/bby051 · doi-reference
Pharmacogenomics: the genetics of variable drug responses
10.1161/circulationaha.109.914820 · doi-reference
How effective are common medications: a perspective based on meta-analyses of major drugs
10.1186/s12916-015-0494-1 · doi-reference
Right drug-right patient-right time: personalized medicine coalition
10.1111/j.1752-8062.2008.00003.x · doi-reference
How artificial intelligence is changing drug discovery
10.1038/d41586-018-05267-x · doi-reference
DeepCOP: deep learning-based approach to predict gene regulating effects of small molecules
10.1093/bioinformatics/btz645 · doi-reference
10.1016/j.ebiom.2019.08.027
10.1016/j.ebiom.2019.08.027 · doi-reference
10.1021/acs.chemrev.8b00728
10.1021/acs.chemrev.8b00728 · doi-reference
10.1038/s41573-019-0024-5
10.1038/s41573-019-0024-5 · doi-reference
Artificial intelligence for mental health and mental illnesses: an overview
10.1007/s11920-019-1094-0 · doi-reference
10.1016/j.bpsc.2017.11.007
10.1016/j.bpsc.2017.11.007 · doi-reference
Interactome-transcriptome analysis discovers signatures complementary to GWAS loci of type 2 diabetes
10.1038/srep35228 · doi-reference
10.1038/s41588-018-0129-5
10.1038/s41588-018-0129-5 · doi-reference
10.18632/oncotarget.19481
10.18632/oncotarget.19481 · doi-reference
PyMINEr finds gene and autocrine-paracrine networks from human islet scRNA-Seq
10.1016/j.celrep.2019.01.063 · doi-reference
Integrating gene expression and protein-protein interaction network to prioritize cancer-associated genes
10.1186/1471-2105-13-182 · doi-reference
10.1038/nrg3552
10.1038/nrg3552 · doi-reference
10.1016/j.jmb.2006.06.024
10.1016/j.jmb.2006.06.024 · doi-reference
10.1186/s13073-017-0467-4
10.1186/s13073-017-0467-4 · doi-reference
Proteomic approaches to identify blood-based biomarkers for depression and bipolar disorders
10.1080/14789450.2018.1444483 · doi-reference
10.1039/c2mb25118c
10.1039/c2mb25118c · doi-reference
10.1016/j.neuro.2011.11.008
10.1016/j.neuro.2011.11.008 · doi-reference
Disease-associated epigenetic changes in monozygotic twins discordant for schizophrenia and bipolar disorder
10.1093/hmg/ddr416 · doi-reference
MicroRNA-132 dysregulation in schizophrenia has implications for both neurodevelopment and adult brain function
10.1073/pnas.1113793109 · doi-reference