PMCC PMCC

Search tips
Search criteria

Advanced
Results 1-25 (94)
 

Clipboard (0)
None

Select a Filter Below

Journals
more »
Year of Publication
more »
1.  A randomized, double-blind, placebo-controlled trial of quetiapine in patients with bipolar disorder, mixed or depressed phase, and alcohol dependence 
Background
Alcohol dependence is common in bipolar disorder (BPD) and associated with treatment non-adherence, violence, and hospitalization. Quetiapine is a standard treatment for BPD. We previously reported improvement in depressive symptoms, but not alcohol use, with quetiapine in BPD and alcohol dependence. However, mean alcohol use was low and a larger effect size on alcohol-related measures was observed in those with higher levels of alcohol consumption. In this study, efficacy of quetiapine in patients with BPD and alcohol dependence was examined in patients with higher mean baseline alcohol use than in the prior study.
Methods
Ninety outpatients with bipolar I or II disorders, depressed or mixed mood state, and current alcohol dependence were randomized to 12 weeks of sustained release quetiapine (to 600 mg/day) add-on therapy or placebo. Drinking was quantified using the Timeline Follow Back method. Additional assessment tools included the Hamilton Rating Scale for Depression (HRSD17), Inventory of Depressive Symptomatology–Self-Report (IDS-SR30), Young Mania Rating Scale (YMRS), Penn Alcohol Craving Scale (PACS), liver enzymes, and side effects. Alcohol use and mood were analyzed using a declining-effects random-regression model.
Results
Baseline and demographic characteristics in the two groups were similar. No significant between-group differences were observed on the primary outcome measure of drinks/day or other alcohol-related or mood measures (p>.05). Overall side effect burden, glucose and cholesterol were similar in the two groups. However, a significant weight increase was observed with quetiapine at week 6 (+2.9 lbs [SE 1.4] quetiapine vs. −2.0 lbs [SE 1.4], p=.03), but not at week 12. Scores on the Barnes Akathisia Scale increased significantly more (p=.04) with quetiapine (+0.40 (SE 0.3)) than placebo (−0.52 (SE 0.3)) at week 6 but not week 12. Retention (survival) in the study was similar in the groups.
Conclusions
Findings suggest that quetiapine does not reduce alcohol consumption in patients with BPD and alcohol dependence.
doi:10.1111/acer.12445
PMCID: PMC4107121  PMID: 24976394
quetiapine; bipolar disorder; depression; mania; alcohol dependence
2.  A genome-wide association study points to multiple loci predicting antidepressant treatment outcome in depression 
Archives of general psychiatry  2009;66(9):966-975.
Context
Efficacy of antidepressant treatment in depression is unsatisfactory as one in three patients does not fully recover even after several treatment trials. Genetic factors and clinical characteristics contribute to the failure of a favorable treatment outcome.
Objective
To identify genetic and clinical determinants of antidepressant treatment outcome in depression.
Design
Genome-wide pharmacogenetic association study with two independent replication samples.
Setting
We performed a genome-wide association (GWA) study in patients from the Munich-Antidepressant-Response-Signature (MARS) project and in pooled DNA from an independent German replication sample. A set of 328 single nucleotide polymorphisms (SNPs) highly related to outcome in both GWA studies was genotyped in a sample of the Sequenced-Treatment-Alternatives-to-Relieve-Depression (STAR*D) study.
Participants
339 inpatients suffering from a depressive episode (MARS sample), further 361 depressed inpatients (German replication sample), and 832 outpatients with major depression (STAR*D sample).
Main Outcome Measures
We generated a multi-locus genetic variable describing the individual number of alleles of the selected SNPs associated with beneficial treatment outcome in the MARS sample (“response” alleles) to evaluate additive genetic effects on antidepressant treatment outcome.
Results
Multi-locus analysis revealed a significant contribution of a binary variable categorizing patients as carriers of a high vs. low number of response alleles in predicting antidepressant treatment outcome in both samples, MARS and STAR*D. In addition, we observed that patients with a comorbid anxiety disorder in combination with a low number of response alleles showed the least favorable outcome.
Conclusion
Our results demonstrate the importance of multiple genetic factors in combination with clinical features to predict antidepressant treatment outcome underscoring the multifactorial nature of this trait.
doi:10.1001/archgenpsychiatry.2009.95
PMCID: PMC4465570  PMID: 19736353
3.  Expression Profiling of Circulating MicroRNAs in Canine Myxomatous Mitral Valve Disease 
MicroRNAs (miRNAs) are small non-coding RNAs that have shown promise as noninvasive biomarkers in cardiac disease. This study was undertaken to investigate the miRNA expression profile in dogs with myxomatous mitral valve disease (MMVD). 277 miRNAs were quantified using RT-qPCR from six normal dogs (American College of Veterinary Internal Medicine Stage A), six dogs with MMVD mild to moderate cardiac enlargement (ACVIM Stage B1/B2) and six dogs with MMVD and congestive heart failure (ACVIM Stage C/D). Eleven miRNAs were differentially expressed (False Discovery Rate < 0.05). Dogs in Stage B1/B2 or C/D had four upregulated miRNAs, including three cfa-let-7/cfa-miR-98 family members, while seven others were downregulated, compared to Stage A. Expression of six of the 11 miRNAs also were significantly different between dogs in Stage C/D and those in Stage B1/B2. The expression changes were greater as disease severity increased. These miRNAs may be candidates for novel biomarkers and may provide insights into genetic regulatory pathways in canine MMVD.
doi:10.3390/ijms160614098
PMCID: PMC4490541  PMID: 26101868
microRNA; dog; congestive heart failure; biomarker; myxomatous mitral valve disease; RT-qPCR
5.  A Turn-Key Approach for Large-Scale Identification of Complex Posttranslational Modifications 
Journal of proteome research  2014;13(3):1190-1199.
The conjugation of complex post-translational modifications (PTMs) such as glycosylation and Small Ubiquitin-like Modification (SUMOylation) to a substrate protein can substantially change the resulting peptide fragmentation pattern compared to its unmodified counterpart, making current database search methods inappropriate for the identification of tandem mass (MS/MS) spectra from such modified peptides. Traditionally it has been difficult to develop new algorithms to identify these atypical peptides because of the lack of a large set of annotated spectra from which to learn the altered fragmentation pattern. Using SUMOylation as an example, we propose a novel approach to generate large MS/MS training data from modified peptides and derive an algorithm that learns properties of PTM-specific fragmentation from such training data. Benchmark tests on data sets of varying complexity show that our method is 80–300% more sensitive than current state-of-the-art approaches. The core concepts of our method are readily applicable to developing algorithms for the identifications of peptides with other complex PTMs.
doi:10.1021/pr400368u
PMCID: PMC3993922  PMID: 24437954
small ubiquitin-like modification (SUMOylation); posttranslational modification (PTM); combinatorial peptide library; peptide fragmentation patterns; algorithms; database search method; linked peptides
6.  Toward an online cognitive and emotional battery to predict treatment remission in depression 
Purpose
To evaluate the performance of a cognitive and emotional test battery in a representative sample of depressed outpatients to inform likelihood of remission over 8 weeks of treatment with each of three common antidepressant medications.
Patients and methods
Outpatients 18–65 years old with nonpsychotic major depressive disorder (17 sites) were randomized to escitalopram, sertraline or venlafaxine-XR (extended release). Participants scored ≥12 on the baseline 16-item Quick Inventory of Depressive Symptomatology – Self-Report and completed 8 weeks of treatment. The baseline test battery measured cognitive and emotional status. Exploratory multivariate logistic regression models predicting remission (16-item Quick Inventory of Depressive Symptomatology – Self-Report score ≤5 at 8 weeks) were developed independently for each medication in subgroups stratified by age, sex, or cognitive and emotional test performance. The model with the highest cross-validated accuracy determined the participant proportion in each arm for whom remission could be predicted with an accuracy ≥10% above chance. The proportion for whom a prediction could be made with very high certainty (positive predictive value and negative predictive value exceeding 80%) was calculated by incrementally increasing test battery thresholds to predict remission/non-remission.
Results
The test battery, individually developed for each medication, improved identification of remitting and non-remitting participants by ≥10% beyond chance for 243 of 467 participants. The overall remission rates were escitalopram: 40.8%, sertraline: 30.3%, and venlafaxine-XR: 31.1%. Within this subset for whom prediction exceeded chance, test battery thresholds established a negative predictive value of ≥80%, which identified 40.9% of participants not remitting on escitalopram, 77.1% of participants not remitting on sertraline, and 38.7% of participants not remitting on venlafaxine-XR (all including 20% false negatives).
Conclusion
The test battery identified about 50% of each medication group as being ≥10% more or less likely to remit than by chance, and identified about 38% of individuals who did not remit with ≥80% certainty. Clinicians might choose to avoid this specific medication in these particular patients.
doi:10.2147/NDT.S75975
PMCID: PMC4348126  PMID: 25750532
depression; treatment selection; cognitive tests; biomarkers; treatment prediction; antidepressant medication
7.  A Turn-Key Approach for Large-Scale Identification of Complex Posttranslational Modifications 
Journal of Proteome Research  2014;13(3):1190-1199.
The conjugation of complex post-translational modifications (PTMs) such as glycosylation and Small Ubiquitin-like Modification (SUMOylation) to a substrate protein can substantially change the resulting peptide fragmentation pattern compared to its unmodified counterpart, making current database search methods inappropriate for the identification of tandem mass (MS/MS) spectra from such modified peptides. Traditionally it has been difficult to develop new algorithms to identify these atypical peptides because of the lack of a large set of annotated spectra from which to learn the altered fragmentation pattern. Using SUMOylation as an example, we propose a novel approach to generate large MS/MS training data from modified peptides and derive an algorithm that learns properties of PTM-specific fragmentation from such training data. Benchmark tests on data sets of varying complexity show that our method is 80–300% more sensitive than current state-of-the-art approaches. The core concepts of our method are readily applicable to developing algorithms for the identifications of peptides with other complex PTMs.
doi:10.1021/pr400368u
PMCID: PMC3993922  PMID: 24437954
small ubiquitin-like modification (SUMOylation); posttranslational modification (PTM); combinatorial peptide library; peptide fragmentation patterns; algorithms; database search method; linked peptides
8.  Writing and Publishing Your Research Findings 
Writing clearly is critical to the success of your scientific career. Unfortunately, this skill is not taught in medical school or postgraduate training. This article summarizes our approach to the writing and publication of your research. Here we focus on empirical or experimental reports of translational and clinically oriented research. We review the process of choosing what to write, how to write it clearly, and how to navigate the process of submission and publication.
doi:10.231/JIM.0b013e3181aa089f
PMCID: PMC4260692  PMID: 19491626
medical writing; career development
9.  Magnetic Resonance Imaging Measures of Brain Structure to Predict Antidepressant Treatment Outcome in Major Depressive Disorder 
EBioMedicine  2014;2(1):37-45.
Background
Less than 50% of patients with Major Depressive Disorder (MDD) reach symptomatic remission with their initial antidepressant medication (ADM). There are currently no objective measures with which to reliably predict which individuals will achieve remission to ADMs.
Methods
157 participants with MDD from the International Study to Predict Optimized Treatment in Depression (iSPOT-D) underwent baseline MRIs and completed eight weeks of treatment with escitalopram, sertraline or venlafaxine-ER. A score at week 8 of 7 or less on the 17 item Hamilton Rating Scale for Depression defined remission. Receiver Operator Characteristics (ROC) analysis using the first 50% participants was performed to define decision trees of baseline MRI volumetric and connectivity (fractional anisotropy) measures that differentiated non-remitters from remitters with maximal sensitivity and specificity. These decision trees were tested for replication in the remaining participants.
Findings
Overall, 35% of all participants achieved remission. ROC analyses identified two decision trees that predicted a high probability of non-remission and that were replicated: 1. Left middle frontal volume < 14 · 8 mL & right angular gyrus volume > 6 · 3 mL identified 55% of non-remitters with 85% accuracy; and 2. Fractional anisotropy values in the left cingulum bundle < 0 · 63, right superior fronto-occipital fasciculus < 0 · 54 and right superior longitudinal fasciculus < 0 · 50 identified 15% of the non-remitters with 84% accuracy. All participants who met criteria for both decision trees were correctly identified as non-remitters.
Interpretation
Pretreatment MRI measures seem to reliably identify a subset of patients who do not remit with a first step medication that includes one of these commonly used medications. Findings are consistent with a neuroanatomical basis for non-remission in depressed patients.
Funding
Brain Resource Ltd is the sponsor for the iSPOT-D study (NCT00693849).
Highlights
•Our study identified biomarkers which provide clinically actionable information in guiding the prescription of ADMs.•The MRI protocols used in our study are routinely used clinically, making this biomarker easy to translate to a clinical setting.•Volumetric measures of the left middle frontal and the right angular gyri can identify a subset of patients who will not remit to three commonly prescribed ADMs.•Our findings contribute three new objective neuroimaging measures to identify non-remitters prior to initiation of treatment.
doi:10.1016/j.ebiom.2014.12.002
PMCID: PMC4484820  PMID: 26137532
Decision trees; Magnetic resonance imaging; Diffusion tensor imaging; Major depressive disorder; Biomarker predictors; Remission; iSPOT-D; Replication
10.  Retention and Attrition Among African Americans in the STAR*D Study: What Causes Research Volunteers to Stay or Stray? 
Depression and anxiety  2013;30(11):10.1002/da.22134.
Background
High attrition rates among African-Americans (AA) volunteers are a persistent problem that makes clinical trials less representative and complicates estimation of treatment outcomes. Many studies contrast AA with other ethnic/racial groups, but few compare the AA volunteers who remain in treatment with those who leave. Here, in addition to comparing patterns of attrition between African Americans and whites, we identify predictors of overall and early attrition among African Americans.
Method
Sample comprised non-Hispanic African-American (n=673) and white (n=2,549) participants in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study. Chi-square tests were used to examine racial group differences in reasons for exit. Multivariate logistic regression was used to examine predictors of overall attrition, early attrition (by Level 2) and top reasons cited for attrition among African Americans.
Results
For both African-American and white dropouts, non-compliance reasons for attrition were most commonly cited during the earlier phases of the study while reasons related to efficacy and medication side effects were cited later in the study. Satisfaction with treatment strongly predicted overall attrition among African Americans independent of socioeconomic, clinical, medical or psychosocial factors. Early attrition among African American dropouts was associated with less psychiatric comorbidity, and higher perceived physical functioning but greater severity of clinician-rated depression.
Conclusions
The decision to drop out is a dynamic process that changes over the course of a clinical trial. Strategies aimed at retaining African Americans in such trials should emphasize engagement with treatment and patient satisfaction immediately following enrollment and after treatment initiation.
doi:10.1002/da.22134
PMCID: PMC3818393  PMID: 23723044
Research Volunteers; Ethnic Groups; Blacks; Depression; Disparities; Treatment
11.  Relationship Between Obesity and Depression: Characteristics and Treatment Outcomes with Antidepressant Medication 
Psychosomatic medicine  2013;75(9):863-872.
Objective
Obesity and Major Depressive Disorder (MDD) often co-occur. However, differences between obese and normal-weight depressed patients and the moderating effect of obesity on antidepressant treatment outcome have not been well studied.
Methods
662 subjects in the COmbining Medications to Enhance Depression Outcomes (COMED) were randomized to treatment with escitalopram plus placebo, bupropion plus escitalopram, or venlafaxine plus mirtazapine for a 12 week primary treatment phase and 16 week follow-up. Body Mass Index (BMI) was calculated at baseline. Subjects were divided into BMI classes according to World Health Organization criteria: 1) normal (and low) weight (NW), 2) overweight (OW), 3) obese I (OB1) and 4) obese II+ (OB2). Clinical characteristics were compared using Chi-squared or Kruskall-Wallis testing. Outcomes were assessed using a repeated effects model, unadjusted and adjusted for baseline variables differing across BMI classes.
Results
31.4% of the subjects were normal weight; 46.2% were obese. Higher BMI was associated with greater medical illness (p<0.001), social phobia (p=0.003) and bulimia (p=0.026). Lower BMI was associated with higher rates of Post Traumatic Stress Disorder (p=0.002) and drug abuse. Treatment outcomes, including remission, did not differ across classes. However, lower BMI was associated with more frequent (p=0.024, unadjusted, 0.053 adjusted) and more severe (p=0.008 unadjusted, 0.053 adjusted) side effects.
Conclusions
We found a high rate of obesity compared to the general population and significant differences in presentation and comorbidity, but not medication use and antidepressant outcomes, in subjects across BMI classes. Lower BMI classes had higher rates of comorbidities associated with poor outcome, which may have obscured outcome differences.
Trial Registration
clinicaltrials.gov Identifier: NCT 00270647
doi:10.1097/PSY.0000000000000000
PMCID: PMC3905462  PMID: 24163386
Depression; Obesity; Treatment Resistance
12.  RSK phosphorylates SOS1 creating 14-3-3 docking sites and negatively regulating MAPK activation 
The Biochemical journal  2012;447(1):159-166.
doi:10.1042/BJ20120938
PMCID: PMC4198020  PMID: 22827337
RSK; SOS; 14-3-3; negative feedback; Phosphorylation; Signal Transduction
13.  Fyn Promotes Phosphorylation of Collapsin Response Mediator Protein 1 at Tyrosine 504, a Novel, Isoform-Specific Regulatory Site 
Journal of cellular biochemistry  2010;111(1):20-28.
In vertebrates the Collapsin Response Mediator Proteins (CRMPs) are encoded by five highly-related genes. CRMPs are cytosolic phosphoproteins abundantly expressed in developing and mature mammalian brains. CRMPs are best understood as effectors of Semaphorin 3A signaling regulating growth cone collapse in migratory neurons. Phosphorylation in the carboxyl-terminal regulatory domain of CRMPs by several serine/threonine kinases has been described. These phoshorylation events appear to function, at least in part, to disrupt the interaction of CRMPs with tubulin heterodimers. In a large-scale phosphoproteomic analysis of murine brain, we recently identified a number of in vivo tyrosine phosphorylation sites on CRMP isoforms. Using biochemical approaches and quantitative mass spectrometry we demonstrate that one of these sites, CRMP1 tyrosine 504 (Y504), is a primary target of the Src family of tyrosine kinases (SFKs), specifically Fyn. Y504 is adjacent to CDK5 and GSK-3β sites that regulate the interaction of CRMPs with tubulin. Although Y504 is highly conserved among vertebrate CRMP1 orthologs, a residue corresponding to Y504 is absent in CRMP isoforms 2-5. This suggests an isoform-specific regulatory role for CRMP1 Y504 phosphorylation and may help explain the observation that CRMP1-deficient mice exhibit neuronal migration defects not compensated for by CRMPs 2-5.
doi:10.1002/jcb.22659
PMCID: PMC4198339  PMID: 20506281
Collapsin Response Mediator Protein, CRMP; Fyn; Phosphorylation; Tyrosine Kinase; Quantitative mass spectrometry, quantitative proteomics; Neuronal positioning; Growth Cone; Absolute Quantification, AQUA; Stable Isotope Labeling with Amino Acids in Cell Culture, SILAC
14.  The genetic interacting landscape of 63 candidate genes in Major Depressive Disorder: an explorative study 
BioData Mining  2014;7:19.
Background
Genetic contributions to major depressive disorder (MDD) are thought to result from multiple genes interacting with each other. Different procedures have been proposed to detect such interactions. Which approach is best for explaining the risk of developing disease is unclear.
This study sought to elucidate the genetic interaction landscape in candidate genes for MDD by conducting a SNP-SNP interaction analysis using an exhaustive search through 3,704 SNP-markers in 1,732 cases and 1,783 controls provided from the GAIN MDD study. We used three different methods to detect interactions, two logistic regressions models (multiplicative and additive) and one data mining and machine learning (MDR) approach.
Results
Although none of the interaction survived correction for multiple comparisons, the results provide important information for future genetic interaction studies in complex disorders. Among the 0.5% most significant observations, none had been reported previously for risk to MDD. Within this group of interactions, less than 0.03% would have been detectable based on main effect approach or an a priori algorithm. We evaluated correlations among the three different models and conclude that all three algorithms detected the same interactions to a low degree. Although the top interactions had a surprisingly large effect size for MDD (e.g. additive dominant model Puncorrected = 9.10E-9 with attributable proportion (AP) value = 0.58 and multiplicative recessive model with Puncorrected = 6.95E-5 with odds ratio (OR estimated from β3) value = 4.99) the area under the curve (AUC) estimates were low (< 0.54). Moreover, the population attributable fraction (PAF) estimates were also low (< 0.15).
Conclusions
We conclude that the top interactions on their own did not explain much of the genetic variance of MDD. The different statistical interaction methods we used in the present study did not identify the same pairs of interacting markers. Genetic interaction studies may uncover previously unsuspected effects that could provide novel insights into MDD risk, but much larger sample sizes are needed before this strategy can be powerfully applied.
doi:10.1186/1756-0381-7-19
PMCID: PMC4181757  PMID: 25279001
Additive interaction; Multiplicative interaction; Logistic regression; Data mining and machine learning; Major depressive disorder
15.  Fluoxetine Increases Suicide Ideation Less than Placebo During Treatment of Adults with Minor Depressive Disorder 
Journal of psychiatric research  2013;47(9):1199-1203.
Objective
Some reports suggest an increase in suicide ideations and behaviors in patients treated with antidepressants. This is an analysis of the impact of fluoxetine on suicide ideations in outpatients with Minor Depressive Disorder.
Methods
Research subjects were adult outpatients with Minor Depressive Disorder (N=162), who received fluoxetine or placebo in a prospective, 12-week, double blind randomized trial. The research participants were evaluated weekly with standard rating scales that included 4 suicide-related items; item 3 of the Hamilton Rating Scale for Depression (HRSD), item 18 of Inventory of Depressive Symptomatology (IDS-C), and items 15 and 59 of the Hopkins Symptom Checklist (SCL-90). Clinically significant intensification of suicide ideation was defined as an increase of ≥2 on any of these items.
Results
Overall 60/162 subjects (37%) had an increase of ≥1 point during treatment and 17/162 (10.5%) of ≥2 points on at least one suicide item, with 12/81 (14.8%) placebo and 5/81 (6.2%) fluoxetine treated subjects having a ≥2 point gain. Of the study participants with baseline suicide ideation, 9/22 (40.9%) placebo and 3/24 (12.5%) fluoxetine treated had ≥2 point increase (p=0.04). Survival analysis revealed that subjects on placebo were significantly more likely (p=0.050) to experience a ≥2 point increase on one or more item, a difference that emerged early and continued throughout the 12-week trial.
Conclusions
Compared to placebo, fluoxetine was not associated with a clinically significant increase in suicide ideation among adults with Minor Depressive Disorder during 12 weeks of treatment.
doi:10.1016/j.jpsychires.2013.05.025
PMCID: PMC3729337  PMID: 23786912
Minor Depressive Disorder; fluoxetine; antidepressant; treatment emergent suicide ideation
16.  Course and Severity of Maternal Depression: Associations with Family Functioning and Child Adjustment 
Journal of youth and adolescence  2008;37(8):906-916.
Number of lifetime episodes, duration of current episode, and severity of maternal depression were investigated in relation to family functioning and child adjustment. Participants were the 151 mother–child pairs in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) child multi-site study. Mothers were diagnosed with Major Depressive Disorder; children (80 males and 71 females) ranged in age from 7 to 17 years. Measures of child adjustment included psychiatric diagnoses, internalizing and externalizing symptoms, and functional impairment. Measures of family functioning included family cohesion, expressiveness, conflict, organization, and household control; parenting measures assessed maternal acceptance and psychological control. Children of mothers with longer current depressive episodes were more likely to have internalizing and externalizing symptoms, with this association being moderated by child gender. Mothers with more lifetime depressive episodes were less likely to use appropriate control in their homes.
doi:10.1007/s10964-007-9216-0
PMCID: PMC4086840  PMID: 25013241
Maternal depression; Family functioning; Child adjustment; Gender
17.  Global analysis of phosphorylation and ubiquitylation crosstalk in protein degradation 
Nature methods  2013;10(7):10.1038/nmeth.2519.
Crosstalk between different types of post-translational modifications (PTMs) on the same protein molecule adds specificity and combinatorial logic to signal processing, but has not been characterized on a large-scale basis. Here, we developed two methods to identify protein isoforms that are both phosphorylated and ubiquitylated in the yeast Saccharomyces cerevisiae, identifying 466 proteins with 2,100 phosphorylation sites co-occurring with 2,189 ubiquitylation sites. We applied these methods quantitatively to identify phosphorylation sites that regulate protein degradation via the ubiquitin-proteasome system. Our results demonstrate that distinct phosphorylation sites are often used in conjunction with ubiquitylation, and these sites are more highly conserved than the entire set of phosphorylation sites. Finally, we investigated how the phosphorylation machinery can be regulated by ubiquitylation. We found evidence for novel regulatory mechanisms of kinases and 14-3-3 scaffold proteins via proteasome-independent ubiquitylation.
doi:10.1038/nmeth.2519
PMCID: PMC3868471  PMID: 23749301
18.  The Clinical Relevance of Self-Reported Premenstrual Worsening of Depressive Symptoms in the Management of Depressed Outpatients: A STAR*D Report 
Journal of Women's Health  2013;22(3):219-229.
Abstract
Objective
To determine the incidence, clinical and demographic correlates, and relationship to treatment outcome of self-reported premenstrual exacerbation of depressive symptoms in premenopausal women with major depressive disorder who are receiving antidepressant medication.
Method
This post-hoc analysis used clinical trial data from treatment-seeking, premenopausal, adult female outpatients with major depression who were not using hormonal contraceptives. For this report, citalopram was used as the first treatment step. We also used data from the second step in which one of three new medications were used (bupropion-SR [sustained release], venlafaxine-XR [extended release], or sertraline). Treatment-blinded assessors obtained baseline treatment outcomes data. We hypothesized that those with reported premenstrual depressive symptom exacerbation would have more general medical conditions, longer index depressive episodes, lower response or remission rates, and shorter times-to-relapse with citalopram, and that they would have a better outcome with sertraline than with bupropion-SR.
Results
At baseline, 66% (n=545/821) of women reported premenstrual exacerbation. They had more general medical conditions, more anxious features, longer index episodes, and shorter times-to-relapse (41.3 to 47.1 weeks, respectively). Response and remission rates to citalopram, however, were unrelated to reported premenstrual exacerbation. Reported premenstrual exacerbation was also unrelated to differential benefit with sertraline and bupropion-SR.
Conclusions
Self-reported premenstrual exacerbation has moderate clinical utility in the management of depressed patients, although it is not predictive of overall treatment response. Factors that contribute to a more chronic or relapsing course may also play a role in premenstrual worsening of major depressive disorder (MDD).
doi:10.1089/jwh.2011.3186
PMCID: PMC3634137  PMID: 23480315
19.  Do Menopausal Status and Use of Hormone Therapy Affect Antidepressant Treatment Response? Findings from the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) Study 
Journal of Women's Health  2013;22(2):121-131.
Abstract
Background
Menopausal status and use of hormonal contraception or menopausal hormone therapy (HT) may affect treatment response to selective serotonin reuptake inhibitors (SSRIs). This report evaluates whether menopausal status and use of hormonal contraceptives or menopausal HT affect outcome in women treated with citalopram.
Methods
In the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study, 896 premenopausal and 544 postmenopausal women were treated with citalopram for 12–14 weeks. Baseline demographic and clinical characteristics were used in adjusted analysis of the effect of menopausal status and use of hormonal contraceptives or menopausal HT on outcomes. Remission was defined as final Hamilton Rating Scale for Depression-17 (HRSD17) ≤7 or Quick Inventory of Depressive Symptomatology-Self-Report (QIDS-SR16) score ≤5 and response as ≥50% decrease from the baseline QIDS-SR16 score.
Results
Premenopausal and postmenopausal women differed in multiple clinical and demographic baseline variables but did not differ in response or remission rates. Premenopausal women taking hormonal contraceptives had significantly greater unadjusted remission rates on the HRSD17 and the QIDS-SR16 than women not taking contraception. Response and remission rates were not different between postmenopausal women taking vs. not taking HT. Adjusted results showed no significant difference in any outcome measure across menopause status in women who were not taking contraception/HT. There were no significant differences in adjusted results across HT status in premenopausal or postmenopausal women.
Conclusions
In this study, citalopram treatment outcome was not affected by menopausal status. Hormonal contraceptives and HT also did not affect probability of good outcome.
doi:10.1089/jwh.2012.3479
PMCID: PMC3613168  PMID: 23398127
20.  Cross-Disorder Genomewide Analysis of Schizophrenia, Bipolar Disorder, and Depression 
The American journal of psychiatry  2010;167(10):10.1176/appi.ajp.2010.09091335.
Background
Family and twin studies indicate substantial overlap of genetic influences on psychotic and mood disorders. Linkage and candidate gene studies have also suggested overlap across schizophrenia (SCZ), bipolar disorder (BPD), and major depressive disorder (MDD). The objective of this study was to apply genomewide association study (GWAS) analysis to address the specificity of genetic effects on these disorders.
Method
We combined GWAS data from three large effectiveness studies of SCZ (CATIE, genotyped n = 741), BPD (STEP-BD, n = 1575) and MDD (STAR*D, n= 1938) and psychiatrically-screened controls (NIMH-GI controls, n = 1204). We applied a two-stage analytic procedure involving an omnibus test of allele frequency differences among case and control groups followed by a model selection step to identify the best-fitting model of allelic effects across disorders.
Results
The strongest result was seen for a single nucleotide polymorphism near the adrenomedullin (ADM) gene (rs6484218, p = 3.93 × 10−8), with the best-fitting model indicating that the effect is specific to bipolar II disorder. We also observed evidence suggesting that several genes may have effects that transcend clinical diagnostic boundaries including variants in NPAS3 that showed pleiotropic effects across SCZ, BPD, and MDD.
Conclusions
This study provides the first genomewide significant evidence implicating variants near the ADM gene on chromosome 11p15 in psychopathology, with effects that appear to be specific to bipolar II disorder. Although we do not detect genomewide significant evidence of cross-disorder effects, our study provides evidence that there are both pleiotropic and disorder-specific effects on major mental illness and illustrates an approach to dissecting the genetic basis of mood and psychotic disorders that can inform future large-scale cross-disorder GWAS analyses.
doi:10.1176/appi.ajp.2010.09091335
PMCID: PMC3880556  PMID: 20713499
21.  Rationale and Design of the Chronic Kidney Disease Antidepressant Sertraline Trial (CAST) 
Contemporary clinical trials  2012;34(1):136-144.
Major depressive disorder (MDD) affects one in five patients with Chronic Kidney Disease (CKD) and is an independent risk factor for hospitalization and death before and after dialysis initiation. However, it remains an under-recognized and under-treated problem, in part due to the lack of well-controlled studies that support or refute the efficacy and safety of antidepressant medications in CKD patients. Major trials of antidepressant treatment excluded patients with stages 3–5 CKD, precisely those at higher risk for both depression and increased mortality. The Chronic Kidney Disease Antidepressant Sertraline Trial (CAST) is a randomized, double-blinded, placebo-controlled trial of sertraline, a selective serotonin reuptake inhibitor (SSRI). It will enroll 200 adults with stages 3–5 CKD and MDD excluding kidney transplant and chronic dialysis patients. Sertraline will be administered at an initial dose of 50 mg once daily or matching placebo followed by a dose escalation strategy consisting of 50 mg increments at 2 weeks intervals (as tolerated) to a maximum dose of 200 mg. The primary outcome is improvement in depression symptom severity measured by the Quick Inventory of Depressive Symptomatology scale. Secondary outcomes include safety endpoints and improvement in quality of life. Changes in cognitive function, adherence to medications, nutritional status, inflammation, and platelet function will be explored as potential mechanisms by which depression may mediate poor outcomes. We discuss the rationale and design of the CAST study, the largest placebo-controlled trial aimed to establish safety and efficacy of a SSRI in the acute phase treatment of CKD patients with MDD.
doi:10.1016/j.cct.2012.10.004
PMCID: PMC3525806  PMID: 23085503
depression; chronic kidney disease; sertraline; randomized trial; treatment
22.  What Are the Clinical Implications of New Onset or Worsening Anxiety During the First Two Weeks of SSRI Treatment for Depression? 
Depression and anxiety  2011;29(2):10.1002/da.20917.
Objective
To evaluate the prevalence of new onset or worsening of anxiety symptoms, as well as their clinical implications, during the first two weeks of Selective Serotonin Reuptake Inhibitor (SSRI) pharmacotherapy for depression.
Method
Adult outpatients with non-psychotic major depressive disorder were enrolled in an 8-week acute phase SSRI treatment trial at 15 clinical sites across the US. Worsening anxiety was defined as a greater than 2 point increase on the Beck Anxiety Inventory (BAI) between baseline and Week 2. New onset of anxiety symptoms was ascribed when the BAI baseline rating was 0 and the Week 2 value was greater or equal to 2 points on the BAI.
Results
Overall, after two weeks of treatment, 48.8% (98 of 201 participants) reported improvement in anxiety symptoms, 36.3% (73 of 201) reported minimal symptom change, and 14.9% (30 of 201) reported worsening of anxiety symptoms. No association was found between change in anxiety symptoms within the first two weeks and change in depressive symptoms or remission at the end of 8 weeks of treatment. For participants with clinically meaningful anxiety symptoms at baseline, however, worsening of anxiety during the first two weeks of treatment was associated with worsening depressive symptoms by 8 weeks (p = .054).
Conclusions
The trajectory of anxiety symptom change early in SSRI treatment is an important indicator of eventual outcome for outpatients with major depression and baseline anxiety symptoms.
doi:10.1002/da.20917
PMCID: PMC3860362  PMID: 22147631
anxiety; change; depression; SSRI; outcome
23.  Comparative Phosphoproteomic Analysis of Neonatal and Adult Murine Brain 
Proteomics  2012;12(13):10.1002/pmic.201200003.
Developmental processes are governed by diverse regulatory mechanisms including a suite of signaling pathways employing reversible phosphorylation. With the advent of large-scale phosphoproteomics it is now possible to identify thousands of phosphorylation sites from tissues at distinct developmental stages. We describe here the identification of over 6,000 non-redundant phosphorylation sites from neonatal murine brain. When compared to nearly three times the number of phosphorylation sites identified from three-week-old murine brain, remarkably one-third of the neonatal sites were unique. This fraction only dropped to one-quarter when allowing the site to stray plus or minus 15 residues. This provides evidence for considerable change in the profiles of developmentally-regulated phosphoproteomes. Using quantitative mass spectrometry we characterized a novel phosphorylation site (Ser265) identified uniquely in the neonatal brain on Doublecortin (Dcx), a protein essential for proper mammalian brain development. While the relative levels of Dcx and phospho-Ser265 Dcx between embryonic and neonatal brain were similar, their levels fell precipitously by postnatal day 21, as did phospho-Ser297, a site required for proper neuronal migration. Both sites lie near the microtubule-binding domain and may provide functionally similar regulation via different kinases.
doi:10.1002/pmic.201200003
PMCID: PMC3816108  PMID: 22807455
Phosphoproteomics; Brain Development; Quantitative Mass Spectrometry; Doublecortin (Dcx); phosphorylation
24.  Genome-Wide Association Study of Suicide Attempts in Mood Disorder Patients 
The American journal of psychiatry  2010;167(12):1499-1507.
Objective
Family and twin studies suggest that liability for suicide attempts is heritable and distinct from mood disorder susceptibility. The authors therefore examined the association between common genomewide variation and lifetime suicide attempts.
Method
The authors analyzed data on lifetime suicide attempts from genomewide association studies of bipolar I and II disorder as well as major depressive disorder. Bipolar disorder subjects were drawn from the Systematic Treatment Enhancement Program for Bipolar Disorder cohort, the Wellcome Trust Case Control Consortium bipolar cohort, and the University College London cohort. Replication was pursued in the NIMH Genetic Association Information Network bipolar disorder project and a German clinical cohort. Depression subjects were drawn from the Sequential Treatment Alternatives to Relieve Depression cohort, with replication in the Netherlands Study of Depression and Anxiety/Netherlands Twin Register depression cohort.
Results
Strongest evidence of association for suicide attempt in bipolar disorder was observed in a region without identified genes (rs1466846); five loci also showed suggestive evidence of association. In major depression, strongest evidence of association was observed for a single nucleotide polymorphism in ABI3BP, with six loci also showing suggestive association. Replication cohorts did not provide further support for these loci. However, meta-analysis incorporating approximately 8,700 mood disorder subjects identified four additional regions that met the threshold for suggestive association, including the locus containing the gene coding for protein kinase C-epsilon, previously implicated in models of mood and anxiety.
Conclusions
The results suggest that inherited risk for suicide among mood disorder patients is unlikely to be the result of individual common variants of large effect. They nonetheless provide suggestive evidence for multiple loci, which merit further investigation.
doi:10.1176/appi.ajp.2010.10040541
PMCID: PMC3795390  PMID: 21041247
25.  Association Between Bipolar Spectrum Features and Treatment Outcomes in Outpatients With Major Depressive Disorder 
Archives of general psychiatry  2010;68(4):351-360.
Context
It has been suggested that patients with major depressive disorder (MDD) who display pretreatment features suggestive of bipolar disorder or bipolar spectrum features might have poorer treatment outcomes.
Objective
To assess the association between bipolar spectrum features and antidepressant treatment outcome in MDD.
Design
Open treatment followed by sequential randomized controlled trials.
Setting
Primary and specialty psychiatric outpatient centers in the United States.
Participants
Male and female outpatients aged 18 to 75 years with a DSM-IV diagnosis of nonpsychotic MDD who participated in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study.
Interventions
Open treatment with citalopram followed by up to 3 sequential next-step treatments.
Main Outcome Measures
Number of treatment levels required to reach protocol-defined remission, as well as failure to return for the postbaseline visit, loss to follow-up, and psychiatric adverse events. For this secondary analysis, putative bipolar spectrum features, including items on the mania and psychosis subscales of the Psychiatric Diagnosis Screening Questionnaire, were examined for association with treatment outcomes.
Results
Of the 4041 subjects who entered the study, 1198 (30.0%) endorsed at least 1 item on the psychosis scale and 1524 (38.1%) described at least 1 recent manic-like/hypomaniclike symptom. Irritability and psychotic-like symptoms at entry were significantly associated with poorer outcomes across up to 4 treatment levels, as were shorter episodes and some neurovegetative symptoms of depression. However, other indicators of bipolar diathesis including recent maniclike symptoms and family history of bipolar disorder as well as summary measures of bipolar spectrum features were not associated with treatment resistance.
Conclusion
Self-reported psychoticlike symptoms were common in a community sample of outpatients with MDD and strongly associated with poorer outcomes. Overall, the data do not support the hypothesis that unrecognized bipolar spectrum illness contributes substantially to antidepressant treatment resistance.
doi:10.1001/archgenpsychiatry.2010.179
PMCID: PMC3794668  PMID: 21135313

Results 1-25 (94)