Faculty Bibliography

OBJECTIVE:Adiponectin, which is secreted from adipose tissue, is a protein hormone. Although a large body of studies have found that circulating adiponectin levels increase in anorexia nervosa (AN) and caloric restriction, the effect of subtypes of AN and modifiers of adiponectin in AN are not yet known. METHODS:A systematic search of electronic databases was performed using the search terms "adiponectin," "anorexia nervosa," and "eating disorder" up to January 2021. All studies published in peer-reviewed journals, which included cases and control groups, were selected. The main outcome was the pooled standardized mean difference (SMD) in adiponectin levels between cases and controls, using the random-effects model. Modifiers of SMD were tested via meta-regression. Heterogeneity and publication bias were evaluated. RESULTS:Thirty-four studies met all eligibility criteria. The total sample of AN participants (Hedges' g = .765, p < .0001), and specifically the binge-eating/purging (Hedges' g = 1.211, p < .00001) and restrictive subtypes (Hedges' g = .913, p < .00001) of AN have increased adiponectin plasma levels compared with healthy controls. Meta-regression determined that insulin, IGF-1, BMI, triglyceride, resistin, glucose, IL-6 levels are significant modifiers of adiponectin levels. DISCUSSION/CONCLUSIONS:Compared with controls, adiponectin levels are higher in AN overall, and specifically in the binge-eating/purging and the restrictive AN subtypes. Many of metabolic parameters of glucose metabolism and pro-inflammatory molecules modify the relationship between AN and adiponectin levels. Adipose tissue is important to maintain metabolic stability. PUBLIC SIGNIFICANCE/UNASSIGNED:Anorexia nervosa is a psychiatric disorder associated with a severe decrease in body weight and multiple metabolic abnormalities, including an increase in the hormone adiponectin. In this paper, we used meta-analysis, a powerful statistical method, to aggregate data from 34 rigorously selected research reports. This enabled us to understand the value of adiponectin to differentiate clinical subtypes of anorexia nervosa and the relations between adiponectin and other important metabolic parameters.

Violence in schizophrenia is best investigated within the broader context of violent behavior in the general population. Two important domains of general pathology which allow us to take such an approach include impairment in emotion processing, as manifested by faulty facial emotion recognition, and aggressive reactivity which consists of heightened sensitivity to provocation. To test this approach, we included 135 subjects: 38 violent (VS's) and 33 nonviolent patients with schizophrenia, 32 healthy controls and 32 non-psychotic violent subjects (NPV's). We measured violence with the Life History of Aggression Scale, recognition of facial emotions with the Emotion Recognition Task, and aggressive reactivity through the Buss-Perry Aggression Questionnaire. Adolescent antisocial behavior was evaluated as a potential precursor to these deficits. We found that impairment in fear recognition (IFR) and aggressive reactivity have a significant effect on violence in the violent groups. These two impairments interact in different ways in these groups. In NPV's they contribute in an additive fashion to violence, whereas in VS's they represent separate pathways; aggressive reactivity leads to violence only when there is no IFR. Adolescent antisocial behavior has a differential effect on these 2 impairments in the 2 groups. Thus, these findings provide insights on the differential role of IFR and aggressive reactivity for violence in schizophrenia compared to the general population. In NPV's, both dysfunctions represent antisocial features and contribute jointly to violence. In schizophrenia, they have different etiologies and constitute alternative pathways to violence. This has important implications for the conceptualization and treatment of violence.

BACKGROUND:) inhalation are proven to provoke acute panic attacks (PAs) in patients with panic disorder (PD). A systematic literature search and meta-analysis were performed to compare the effect sizes of these methods. METHODS:Odds ratios were calculated for each of the original studies and were pooled using the random-effects model. RESULTS:=7.88-14.21). CONCLUSION/CONCLUSIONS:for the brain suffocation detector.

OBJECTIVE:This study aimed to determine the prevalence and comorbidities of attention-deficit hyperactivity disorder (ADHD) by evaluating a large-scale nation-wide sample of children. METHOD/METHODS:The inclusion criterion was being enrolled as a 2nd, 3rd, or 4th-grade student. A semi-structured diagnostic interview (K-SADS-PL), DSM-IV-Based Screening Scale for Disruptive Behavior Disorders, and assessment of impairment (by both parents and teachers) were applied to 5,842 participants. RESULTS:The prevalence of ADHD was 19.5% without impairment and 12.4% with impairment. Both ADHD with and without impairment groups had similar psychiatric comorbidity rates except for oppositional defiant disorder (ODD) and conduct disorder (CD) diagnoses. Impairment in the ADHD group resulted in significantly higher ODD and CD diagnoses. CONCLUSION/CONCLUSIONS:Even when impairment is not described, other psychiatric disorders accompany the diagnosis of ADHD and may cause impairment in the future. Impairment in the diagnosis of ADHD significantly increases the likelihood of ODD and CD.

Schizophrenia is widely seen as a disorder of dysconnectivity. Neuroimaging studies have examined both structural and functional connectivity in the disorder, but these modalities have rarely been integrated directly. We scanned 29 patients with schizophrenia and 25 healthy control subjects, and we acquired resting state fMRI and diffusion tensor imaging. We used the Functional and Tractographic Connectivity Analysis Toolbox (FATCAT) to estimate functional and structural connectivity of the default mode network. Correlations between modalities were investigated, and multimodal connectivity scores (MCS) were created using principal component analysis. Of the 28 possible region pairs, 9 showed consistent (>80%) tracts across participants. Correlations between modalities were found among those with schizophrenia for the prefrontal cortex, posterior cingulate, and lateral temporal lobes, with frontal and parietal regions, consistent with frontotemporoparietal network involvement in the disorder. In patients, MCS correlated with several aspects of the Positive and Negative Syndrome Scale, with higher multimodal connectivity associated with outward-directed (externalizing) behavior and lower multimodal connectivity related to psychosis per se. In this preliminary sample, we found FATCAT to be a useful toolbox to directly integrate and examine connectivity between imaging modalities. A consideration of conjoint structural and functional connectivity can provide important information about the network mechanisms of schizophrenia.

BACKGROUND:The heterogenous nature of depression continues to stymie efforts to identify biomarkers or predict treatment response. Efforts leveraging large datasets to define more uniform subtypes of depression or subgroups of depressed patients have considered only small subsets of symptoms. We aimed to understand how inclusion of more diverse complaints would impact data-emergent symptom and patient clusters. METHODS:We applied principal components analysis to baseline IDS data from 1491 STAR-D patients with major depressive disorder to derive naturally co-occurring symptom subsets before utilizing k-means clustering to divide patients into groups based on standardized residuals of each symptom subset score. We evaluated the clinical utility of our approach by comparing how cluster membership impacted response to citalopram. RESULTS:PCA identified nine naturally co-occurring symptom clusters: core affective symptoms, appetite/weight loss, anxiety, somatic symptoms, insomnia, negative intrusive thoughts, leaden paralysis/mood quality, diurnal mood variation, and irritability. Cluster analysis identified two patient groups, differing significantly in 7 of 9 clusters. Patients distinguished by the prominence of somatic vs. core affective symptoms exhibited greater reduction in depression severity with citalopram treatment. LIMITATIONS/CONCLUSIONS:Results depend not only on raw data, but also parameter selection, and interpretation. Replication is indicated. CONCLUSIONS:Findings are consistent with previous reports linking somatic symptoms and treatment resistance and demonstrating that SSRIs are most effective in treating affective symptoms. A novel distinction between physical somatic symptoms and psychic anxiety highlights the utility of assessing a broad spectrum of symptoms when exploring heterogeneity in depression and the need for treatments targeting physical somatic symptoms specifically.

BACKGROUND/UNASSIGNED:Previous studies have demonstrated elevated levels of the S100B protein (located in glial cells) in major depressive disorder (MDD) as compared to healthy controls. However, studies reporting correlation between S100B levels and depression severity have been conflicting. METHODS/UNASSIGNED:We investigated, through systematic review and meta-analysis, whether the correlation between S100B levels and depression severity is significant in patients with MDD. Pearson correlation coefficients reported in the individual studies were converted to Fisher's Z scores, then pooled using the random effects model. Meta-regression was used to test modifiers of the effect size. RESULTS/UNASSIGNED:16 studies including 658 patients with MDD met eligibility criteria. No publication bias was observed. There was a significant and positive correlation between serum S100B level and depression severity (r = 0.204, z = 2.297, p = 0.022). A meta-regression determined that onset age of MDD and percentage of female participants are significant modifiers of this correlation. A moderate, but non-significant heterogeneity was observed in serum studies (44%). CONCLUSION/UNASSIGNED:As many studies have reported significantly increased levels of S100B in MDD compared to controls, this meta-analysis supports the assumption that the increase in S100B correlates with the severity of MDD. Additional studies investigating the precise biological connection between S100B and MDD are indicated.

BACKGROUND:False suffocation alarm hypothesis has been widely used to explain carbon dioxide hypersensitivity in panic disorder (PD). However, hypersensitivity to carbon dioxide has been observed in other psychiatric disorders. We explored the specificity of carbon dioxide inhalation as a panic provocation test among psychiatric disorders via network meta-analysis. METHODS:A systematic literature search on PubMed, EMBASE, and PsycNET was performed to acquire the studies using the carbon dioxide provocation test in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and checklists. Odds ratios (OR) for a panic attack (PA) induced by the carbon dioxide inhalation tests were extracted from each of the original studies and were pooled using the random-effects model. RESULTS:Network meta-analysis on a pool of 2181 participants from 41 studies was used to compare the efficacy of carbon dioxide provocation tests among psychiatric disorders. The network meta-analysis showed that the odds for PA in response to carbon dioxide inhalation are higher in patients with PD, premenstrual dysphoric syndrome (PMDD), and social anxiety disorder (SAD) than healthy controls (HC). The odds for PA were not significantly different among patients with generalized anxiety disorder (GAD), obsessive-compulsive disorder (OCD), major depressive disorder (MDD), and healthy controls (HC). CONCLUSIONS:The vulnerability to the carbon dioxide provocation test is not limited to PD. The specificity of the test for PD is questionable, as individuals suffering from PMDD and SAD are also significantly more responsive to carbon dioxide inhalation compared to HC, OCD, MDD, and GAD. There may be shared underpinning biological mechanisms between PD, PMDD, and SAD.

OBJECTIVE/UNASSIGNED:Treatment of violence in schizophrenia remains a challenging problem, especially in patients with conduct disorder. Previous clinical studies did not select patients on the basis of violence and did not focus on conduct disorder. This study is a head-to-head comparison of clozapine, olanzapine, and haloperidol in the treatment of violent schizophrenia patients with and without conduct disorder. METHODS/UNASSIGNED:Physically assaultive schizophrenia patients (N=99) were randomly assigned to receive clozapine, olanzapine, or haloperidol in a 12-week double-blind trial. They were characterized on the basis of the presence or absence of conduct disorder before age 15. Assaults were recorded; their frequency and severity were scored on the Modified Overt Aggression Scale. Psychiatric symptoms were evaluated through the Positive and Negative Syndrome Scale. RESULTS/UNASSIGNED:Patients with a history of conduct disorder had more frequent and severe assaults than those without conduct disorder during the 12-week trial. Clozapine was superior to haloperidol and olanzapine in reducing assaults; olanzapine was superior to haloperidol. Clozapine's greater antiaggressive efficacy over haloperidol was substantially more pronounced in patients with conduct disorder than in patients without conduct disorder. In patients with conduct disorder, clozapine was four times more likely than haloperidol to result in lower violence; in patients without conduct disorder, it was three times more likely to do so. Olanzapine's superiority over haloperidol was also more pronounced in patients with conduct disorder. CONCLUSIONS/UNASSIGNED:This study is the first to examine the effect of clozapine in violent schizophrenia patients with conduct disorder. When conduct disorder is present, clozapine is the optimal treatment.