Prevalence and treatment of panic disorder in bipolar disorder: systematic review and meta-analysis

Potential causal association between the oral microbiome and bipolar disorder

BACKGROUND

The oral microbiome can influence the growth, development, and regulation of the nervous system through various pathways; however, its relationship with bipolar disorder (BD) remains ambiguous. This study aims to investigate the causal relationship between the oral microbiome and BD through Mendelian randomization (MR) analysis.

METHODS

Data regarding single nucleotide polymorphisms (SNPs) in GWAS summary statistics for oral microbiota and BD were obtained from two studies: one reported the association between the oral microbiome and the human genome, encompassing both the dorsum of the tongue and saliva microbiomes. The other study investigated the association between BD and the human genome, categorizing BD into BD I and BD II for separate analyses. Thus, three data components were utilized: BD, BD I, and BD II. In this study, GWAS data for saliva and dorsum of the tongue microbiomes were analyzed separately for BD, BD I, and BD II. The inverse variance weighted (IVW) method was used to assess the causal relationship between the oral microbiome and BD. Analyses were conducted only when the number of instrumental variable SNPs was no less than two. The MR-Egger regression and IVW methods were employed to evaluate heterogeneity, whereas the MR-Egger intercept test was utilized to assess pleiotropy. For MR results exhibiting heterogeneity or pleiotropy, sensitivity analyses were performed using the weighted median, simple mode, weighted mode, MR-Egger test, and leave-one-out methods. Furthermore, funnel plots were employed to evaluate publication bias. Reverse MR analysis was also performed to investigate the potential bidirectional interactions between BD and the oral microbiota.

RESULTS

A causal relationship exists between the oral microbiome and BD. The effects of the microbiome from different regions of the oral cavity on BD are variable, with a more pronounced impact noted on BD I. This study identified two overlapping causal relationships shared between BD I and BD II, both exhibiting the same directional influence: ①Salivary s Prevotella aurantiaca SGB 2854 (Taxonomy ID: 596085, species); ② Tongue s Prevotella sp000467895 SGB 1817 (Taxonomy ID: 838, genus). Additionally, there are two overlapping bacteria with opposing directional effects: ① Salivary g Eggerthia (Taxonomy ID: 1279384, genus); ② Salivary s unclassified SGB 2636. Three differential bacteria that exclusively regulate one subtype were identified: ① Salivary s Lachnoanaerobaculum sp000296385 SGB 3537 (Taxonomy ID: 1164882, genus); ② Tongue s unclassified SGB 689; ③ Tongue s unclassified SGB 572. Among these, the genus g Eggerthia in saliva inhibits BD I while promoting BD II; conversely, salivary s unclassified SGB 2636 inhibits BD II while promoting BD I. The analysis of tongue s unclassified SGB 489 and s unclassified SGB 1215 demonstrated pleiotropy without causal significance. The reverse MR analysis identified that BD I may influence four microbial species, including f Leptotrichiaceae (Taxonomy ID: 1129771, family), f Streptococcaceae (Taxonomy ID: 1300, family), s unclassified SGB 1210, and s unclassified SGB 1950. There may be a bidirectional causal relationship between s unclassified SGB 1950 and BD I. Additionally, Reverse Mendel suggested that there was no significant causal relationship between BD and salivary and dorsal tongue microbes.

CONCLUSION

Our Mendelian randomization results indicate a causal relationship between the oral microbiome and the development of BD. However, the microbial profiles associated with the different subtypes, BD I and BD II, differ significantly; even within the same genus, the direction of influence on BD I and BD II varies, suggesting that the underlying mechanisms for the development of BD I and BD II may differ substantially.

Does the Dysregulation of Social Rhythms Syndrome (DYMERS) be Considered an Essential Component of Panic Disorders?

This editorial explores the role of hyperactivity and social rhythm dysregulation in bipolar disorder (BD) and related syndromes. Social Rhythm Dysregulation Syndrome (DYMERS) is proposed as a common vulnerability across various disorders, including panic disorder (PD), attention deficit hyperactivity disorder, and post-traumatic stress disorder. A study conducted on a sample of elderly individuals participating in an active aging study investigated whether individuals with PD exhibit higher biological rhythm dysregulation compared to those without PD. The sample, consisting of 119 individuals, revealed that those with a lifetime PD diagnosis scored significantly higher on the dysregulation of biological rhythms scale compared to those without panic disorder. A higher prevalence of depressive episodes was found in individuals with PD at the time of the interview. Notably, a small sample of elderly individuals with panic disorder, voluntarily selected for a physical exercise trial, showed a significantly higher level of dysregulation of social rhythms compared to those without panic disorder. This study opens a debate on the accuracy of paper and pencil screening tests for bipolar disorders, especially regarding false positives in individuals with panic disorder. Our hypothesis is that DYMERS could be a shared vulnerability substrate for various disorders, serving as a basis for bipolar onset in the presence of a hyperactivity profile, even with genetic features. The data collected from older adults suggest that social rhythm dysregulation is a typical feature of PD, regardless of the coexistence of a depressive episode. While the study has limitations due to a small sample size, the findings warrant careful analysis and suggest the need for larger-scale replication studies. If confirmed, the dysregulation of rhythms and its association with depressive disorders highlight a significant area of vulnerability for serious psychopathological disorders, emphasizing the importance of extending research to younger populations.

[Comorbidity patterns and structure of depressive episodes in patients with bipolar disorder and major depressive disorder]

OBJECTIVE

To conduct an exploratory analysis of comorbidity patterns and the structure of depressive episodes among Russian patients with bipolar disorder (BD) and major depressive disorder (MDD).

MATERIAL AND METHODS

This multicenter cross-sectional study included 178 patients with mood disorders, of which 78.1% (n=139) were women. The diagnosis of BD was made in 68.0% (n=121) patients, of them 37.1% (n=66) were diagnosed with BD type I. All study participants underwent a structured Mini International Neuropsychiatric Interview to verify the clinical diagnosis and identify concomitant mental disorders, and also filled out an electronic case report form. Statistical analysis was performed in RStudio v. 1.4.1717 using the standard R package and the «psych» package.

RESULTS

According to the results of stepwise regression, comorbid diagnoses of panic disorder (OR=5.3; 95% CI 1.9-19.1) and eating disorders (OR=7.7; 95% CI 2.8-27.4) were more associated with BD. In addition, depressive episodes in BD were more associated with symptoms of hypersomnia (OR=2.5; 95% CI 1.2-5.3) and psychomotor retardation (OR=3.2; 95% CI 1.5-7.6). Symptoms such as increased appetite (47.1% (n=57) vs 26.3% (n=15); p=0.009), ideas of guilt (92.6% (n=112) vs 7.2% (n=44); p=0.006) and thoughts of self-harm or death (70.2% (n=85) vs 45.6% (n=25); p=0.003) were also nominally more common in depressive episodes within the BD compared to MDD.

CONCLUSIONS

Mood disorders such as BD and MDD have significant differences in the patterns of comorbidity and the structure of depressive episodes, which is important to consider when conducting differential diagnosis of these disorders. The results also indicate the need for a comprehensive diagnostic interview with patients with mood disorders to assess the presence of comorbid mental disorders during life and the structure of depressive episodes throughout the clinical course from the moment of onset.

The clinical characterization of the adult patient with bipolar disorder aimed at personalization of management

Bipolar disorder is heterogeneous in phenomenology, illness trajectory, and response to treatment. Despite evidence for the efficacy of multimodal-ity interventions, the majority of persons affected by this disorder do not achieve and sustain full syndromal recovery. It is eagerly anticipated that combining datasets across various information sources (e.g., hierarchical "multi-omic" measures, electronic health records), analyzed using advanced computational methods (e.g., machine learning), will inform future diagnosis and treatment selection. In the interim, identifying clinically meaningful subgroups of persons with the disorder having differential response to specific treatments at point-of-care is an empirical priority. This paper endeavours to synthesize salient domains in the clinical characterization of the adult patient with bipolar disorder, with the overarching aim to improve health outcomes by informing patient management and treatment considerations. Extant data indicate that characterizing select domains in bipolar disorder provides actionable information and guides shared decision making. For example, it is robustly established that the presence of mixed features - especially during depressive episodes - and of physical and psychiatric comorbidities informs illness trajectory, response to treatment, and suicide risk. In addition, early environmental exposures (e.g., sexual and physical abuse, emotional neglect) are highly associated with more complicated illness presentations, inviting the need for developmentally-oriented and integrated treatment approaches. There have been significant advances in validating subtypes of bipolar disorder (e.g., bipolar I vs. II disorder), particularly in regard to pharmacological interventions. As with other severe mental disorders, social functioning, interpersonal/family relationships and internalized stigma are domains highly relevant to relapse risk, health outcomes, and quality of life. The elevated standardized mortality ratio for completed suicide and suicidal behaviour in bipolar disorder invites the need for characterization of this domain in all patients. The framework of this paper is to describe all the above salient domains, providing a synthesis of extant literature and recommendations for decision support tools and clinical metrics that can be implemented at point-of-care.

Valproate Adjuvant Cognitive Behavioral Therapy in Panic Disorder Patients With Comorbid Bipolar Disorder: Case Series and Review of the Literature

Anxiety disorders are the most common comorbid psychiatric disorders in patients with bipolar disorder. Managing anxiety symptoms in comorbid conditions is challenging and has received little research interest. The findings from preclinical research on fear conditioning, an animal model of anxiety disorder, have suggested that memory reconsolidation updating (exposure-based therapy) combined with valproate might facilitate the amelioration of fear memories. Here, three cases of successful amelioration of agoraphobia and panic symptoms through valproate adjuvant therapy for cognitive behavioral therapy in patients who failed to respond to two to three consecutive standard pharmacotherapy trials over several years are described. To the best of the author's knowledge, this is the first attempt to combine CBT with valproate in patients with panic disorder, agoraphobia, and comorbid bipolar disorder. Additionally, the background preclinical research on this combination therapy based on the reconsolidation-updating mechanism, the inhibition of histone deacetylase 2, and critical period reopening, off-label use of valproate in panic disorder, plasticity-augmented psychotherapy, and how to combine valproate with CBT is discussed.

Antisocial Personality Disorder in Bipolar Disorder: A Systematic Review

Background and Objectives: Bipolar Disorder (BD) is a severe psychiatric disorder that worsens quality of life and functional impairment. Personality disorders (PDs), in particular Cluster B personality, have a high incidence among BD patients and is considered a poor prognostic factor. The study of this co-morbidity represents an important clinical and diagnostic challenge in psychiatry. Particularly, clinical overlap has been shown between antisocial personality disorder (ASPD) and BD that could worsen the course of both disorders. We aimed to detect the frequency of ASPD in bipolar patients with greater accuracy and the impact of ASPD on the clinical course of BD. Materials and Methods: A systematic literature search was conducted in PubMed, Embase, MEDLINE and the Cochrane Library through December 2020 without language or time restriction, according to PRISMA statement guidelines. Results: Initially, 3203 items were identified. After duplicates or irrelevant paper deletion, 17 studies met the inclusion criteria and were included in this review. ASPD was more frequent among BD patients, especially in BD type I. BD patients with ASPD as a comorbidity seemed to have early onset, higher number and more severe affective episodes, higher levels of aggressive and impulsive behaviors, suicidality and poor clinical outcome. ASPD symptoms in BD seem to be associated with a frequent comorbidity with addictive disorders (cocaine and alcohol) and criminal behaviors, probably due to a shared impulsivity core feature. Conclusions: Considering the shared symptoms such as impulsive and dangerous behaviors, in patients with only one disease, misdiagnosis is a common phenomenon due to the overlapping symptoms of ASPD and BD. It may be useful to recognize the co-occurrence of the disorders and better characterize the patient with ASPD and BD evaluating all dysfunctional aspects and their influence on core symptoms.

The Co-Morbidity between Bipolar and Panic Disorder in Fibromyalgia Syndrome

About half of the patients with fibromyalgia (FM) had a lifetime major depression episode and one third had a panic disorder (PD). Because the co-morbidity between bipolar disorder (BD) and PD marks a specific subtype of BD we aimed to investigate if co-morbid BD/PD (comBD/PD) occurs more frequently than the single disorder in FM patients and evaluate the clinical significance and timing of this co-morbidity. Further, we explored the role of co-morbid subthreshold BD and PD. In 118 patients with FM, lifetime threshold and sub-threshold mood disorders and PD were diagnosed with Diagnostic and Statistical Manual of Mental Disorders-IV-Text Revision (DSM-IV-TR) Clinical Interview. Demographic and clinical variables were compared in co-morbid BD/PD (comBD/PD) and not co-morbid BD/PD (nocomBD/PD) subgroups. The co-morbidity BD/PD was seen in 46.6% of FM patients and in 68.6% when patients with minor bipolar (MinBD) and sub-threshold panic were included. These rates are higher than those of the general population and BD outpatients. There were no statistically significant differences between threshold and sub-threshold comBD/PD and nocom-BD/PD subgroups in demographic and clinical parameters. In the majority of patients (78.2%), the onset of comBD/PD preceded or was contemporary with FM. These findings support the hypothesis that comBD/PD is related to the development of FM in a subgroup of patients.

The Factor Structure of the Mood Disorder Questionnaire in Tunisian Patients

Background:

The Mood Disorder Questionnaire (MDQ) is a frequently used screening tool for the early detection of Bipolar Disorder (BD), which is often unrecognized or misdiagnosed at its onset. In this study, data from Tunisia has been used to evaluate the psychometric properties of the Arabic MDQ.

Methods:

The sample included 151 patients with a current major depressive episode. The Arabic adapted version of the Structured Clinical Interview for DSM-IV-TR was used to formulate a diagnosis, yielding 62 patients with BD and 89 with unipolar Major Depressive Disorder (MDD). Principal component analysis with parallel analysis was used to establish the spontaneous distribution of the 13 core items of the MDQ. Confirmatory Factor Analysis (CFA) was used to check the available factor models. Receiver Operating Characteristic (ROC) analysis was used to assess the capacity of the MDQ to distinguish patients with BD from those with MDD.

Results:

Cronbach’s α in the sample was 0.80 (95%CI: 0.75 to 0.85). Ordinal α was 0.88. Parallel analysis suggested two main components, which explained 59% of variance in the data. CFA found a good fit for the existing unidimensional, the two-factor, and the three-factor models. ROC analysis showed that at a threshold of 7, the MDQ was able to distinguish patients with BD from those with MDD with extraordinary negative predictive value (0.92) and a positive diagnostic likelihood ratio of 3.8.

Conclusion:

The Arabic version of the MDQ showed good measurement properties in terms of reliability, factorial validity and discriminative properties.

Comorbidity of obsessive-compulsive disorder in bipolar spectrum disorders: Systematic review and meta-analysis of its prevalence

BACKGROUND

Obsessive-compulsive disorder (OCD) is often comorbid with Bipolar Disorder (BD), complicating its presentation and management. OCD prevalence rates in BD vary widely across studies and recent meta-analyses.

OBJECTIVE

We performed a comprehensive systematic review and meta-analysis of studies reporting cross-sectional or lifetime OCD prevalence in BD, assessed by meta-regression various determinants of estimated prevalence and compared it with major depressive disorder (MDD) patients and general population subjects included in extracted studies.

METHODS

Relevant articles published up to January 2019 in PubMed/MEDLINE were retrieved. Prevalence rates underwent Freeman-Tukey double arcsine transformation before meta-analysis.

RESULTS

We included 29 studies reporting cross-sectional prevalence (N = 6109) and 39 studies reporting lifetime prevalence (N = 8205); eight studies reported both. The pooled lifetime and cross-sectional prevalence of comorbid OCD in BD was estimated at 10.9% (95% CI: 7.8-14.4%) and 11.2% (7.6-15.3%), respectively, in the random-effects model. Respective estimates in the general population were 2.5% and 1.6%. Study setting (epidemiological or clinical), diagnostic criteria and procedures, gender, BD subtype and remission status could not explain heterogeneity of prevalence estimates in meta-regressions. Age had a small yet significant negative correlation with lifetime prevalence. OCD prevalence in BD was not significantly different than in MDD.

LIMITATIONS

Search was limited to English-language literature.

CONCLUSIONS

Lifetime OCD prevalence in BD was 4.4 times higher than in the general population. Cross-sectional prevalence was as high as lifetime, suggesting that OCD in BD is more chronic/ persistent than in the general population, where cross-sectional stands at about two thirds the lifetime prevalence.

The Burden of Comorbidity Between Bipolar Spectrum and Obsessive-Compulsive Disorder in an Italian Community Survey

Background: The impact of the comorbidity between Obsessive-Compulsive Disorder (OCD) and Bipolar Disorder Spectrum (BDS) remains to be clarified. The objective of this study was to examine the lifetime prevalence of OCD, the strength of the association of OCD with comorbid BDS and the role of comorbidity of OCD with BDS in the impairment of health-related quality of life (HRQoL) in an Italian community survey. Methods: The study is a community survey. The sample (N = 2,267; women: 55.3%) was randomly selected after stratification by sex and four age groups from the municipal records of the adult population of one urban, one suburban, and at least one rural area in six Italian regions. Physicians using a semi-structured interview (Advanced Tools and Neuropsychiatric Assessment Schedule, ANTAS-SCID) made Diagnostic and Statistical Manual of Mental Disorders - 4th revision (DSM-IV) diagnoses of OCD, Major Depressive Disorder (MDD) and Bipolar Disorder (BD). HR-QoL was measured by the Health Survey Short Form (SF-12). Lifetime Hypomania and subthreshold hypomania were screened by the Mood Disorder Questionnaire (MDQ). BDS was defined as the sum of people shown to be positive for hypomania by the MDQ-with or without a mood disorder diagnosis-plus people with a BD-DSMIV diagnosis even if negative for hypomania at the MDQ. Results: Overall, 44 subjects were diagnosed with OCD, 6 with MDD and 1 with BD. The lifetime prevalence of OCD was 1.8% in men (n = 18) and 2.0% in women (n = 26). MDD with lifetime subthreshold hypomania (i.e., people screened positive at the MDQ, even without diagnosed mania or hypomania at the interview) was associated with OCD (OR = 18.15, CI 95% 2.45-103.67); MDD without subthreshold hypomania (and screened negative at the MDQ) was not (OR = 2.33, CI 95% 0.69-7.01). People with BDS were strongly associated with OCD (OR = 10.5, CI 95% 4.90-12.16,). People with OCD and BDS showed significantly poorer HR-QoL than people with OCD without BDS (F = 9.492; P < 0.003). Discussion: The study found a strong association between BDS and OCD. BDS comorbid with OCD was associated with more severe impairment of HR-QoL than OCD without comorbid BDS. Identification of symptoms of hypomania, including subthreshold symptoms, may therefore be important in people with OCD as they might predict a course with poorer HR-QoL.

Comorbidity of bipolar and anxiety disorders: An overview of trends in research

Over the last three decades burgeoning research has shown that anxiety disorder comorbidity is not only highly prevalent in bipolar disorder (BD), but it also adversely impacts the course, outcome, and treatment of BD. The present review provides an overview of the current trends in research on comorbid anxiety and BDs based on prior reviews and meta-analyses (n = 103), epidemiological surveys, and large-scale clinical studies. The results reiterated the fact that at least half of those with BD are likely to develop an anxiety disorder in their lifetimes and a third of them will manifest an anxiety disorder at any point of time. All types of anxiety disorders were equally common in BD. However, there was a wide variation in rates across different sources, with most of this discrepancy being accounted for by methodological differences between reports. Comorbid anxiety disorders negatively impacted the presentation and course of BD. This unfavourable clinical profile led to poorer outcome and functioning and impeded treatment of BD. Despite the extensive body of research there was paucity of data on aetiology and treatment of anxiety disorder comorbidity in BD. Nevertheless, the substantial burden and unique characteristics of this comorbidity has important clinical and research implications.