Clinical characteristic of prodromal symptoms between bipolar I and II disorder among Chinese patients: a retrospective study

Validation and psychometric properties of the bipolar prodrome symptom interview and scale-full prospective Chinese version to assess individuals at risk for bipolar disorder

BACKGROUND

Bipolar disorder (BD) is a chronic, severe mental illness with a significant socio-economic burden. The early recognition of BD requires reliable and valid instruments.

OBJECTIVE

We evaluated the psychometric attributes of the Bipolar Prodrome Symptom Interview and Scale-Full Prospective (BPSS-FP)-Chinese version.

METHODS

Altogether, 129 participants, aged 16-35 years meeting DSM-5 criteria for major depressive disorder (MDD, n = 27) or BD (n = 76), and 26 healthy controls were recruited. Subjects were evaluated with the BPSS-FP Chinese version, Young Mania Rating Scale (YMRS), Montgomery-Asberg Depression Rating Scale (MADRS), and Cyclothymic-Hypersensitive Temperament questionnaire (CHT). Internal consistency, interrater reliability, criterion validity, and discriminant validity of the BPSS-FP-Chinese version were assessed.

RESULTS

Cronbach alpha indices were 0.87, 0.86, and 0.66 for the manic, depressive, and general subscales of BPSS-FP-Chinese version, respectively. Interrater correlation was high, with total agreements of 0.94, 0.95, and 0.94 for the manic, depressive, and general index, respectively. Significant correlations (r ≥ 0.50) were noted between the BPSS-FP manic subscale and both the YMRS and CHT, the depressive subscale and the MADRS, and the general symptom subscale and the CHT. Moderate correlations were detected between the BPSS-FP general symptoms and both the YMRS and CHT (r = 0.40 ∼ <0.50). Furthermore, the BPSS-FP mania index demonstrated a moderate correlation with the MADRS, while the depression index had a small correlation with the YMRS (r = 0.10 ∼ <0.40).

CONCLUSIONS

The BPSS-FP-Chinese version has good psychometric properties and can be applied in both clinical and research settings for screening subjects with a risk for BD.

The relationship between prodromal symptom levels and affective temperament features and emotional dysregulation in patients diagnosed with bipolar disorder and their first-degree relatives: A controlled study

BACKGROUND

The frequency of developing psychiatric symptoms is higher in the first-degree relatives of bipolar patients compared to the healthy population. This study aims to determine the possible diagnosis of bipolarity by revealing the bipolar prodromal features, temperament changes, and emotional disregulation in the first-degree relatives of bipolar patients and their interrelationships.

METHODS

A total of 150 patients, including bipolar disorder patients, their first-degree relatives, and a healthy control group, aged 18-65 who met the study inclusion criteria, were included in the study. Sociodemographic data form, Bipolar Prodromal Symptom Scale (BPSS), Temperament Evaluation of Memphis, Pisa, Paris, San Diego Autoquestionnaire (TEMPS-A), and Difficulty in Emotion Regulation Scale (DERS) were administered to all participants.

RESULTS

Significant differences were found between the BPSS, TEMPS-A, and DERS total and subscale scores of the bipolar patient group, first-degree relatives, and healthy control group (p < 0.001). There were significant differences in BPSS frequency and severity subscale scores, TEMPS-A hyperthymic and cyclothymic subscale scores, and DERS strategy, goal-oriented, and awareness subscale scores between patients and their first-degree relatives (p < 0.001). Additionally, all scale scores of the patient relatives were significantly different from the healthy control group (p < 0.001). A significant relationship was found between the prodromal scores and temperament scores of the patient relatives, and between the temperament scores and DERS scores (p < 0.001).

CONCLUSION

It has been observed that the severity and frequency of bipolar prodromal symptoms, temperament changes, and difficulty in mood regulation are higher in bipolar patients and their first-degree relatives compared to the healthy population. Differences were found in hyperthymic and cyclothymic temperament features and difficulty in mood regulation scores between bipolar patients and their first-degree relatives. Patient relatives showed significant changes in all parameters compared to the healthy group. The severity of bipolar prodromal symptoms in patient relatives was associated with cyclothymic and anxious temperament features, while the frequency of bipolar symptoms was associated with anxious temperament. Relationships were found between some temperament and mood regulation difficulty sub-scores. In light of these findings, evaluating clinical variables such as the frequency and severity of prodromal symptoms, temperament features, and difficulty in mood regulation in the first-degree relatives of bipolar patients may be an appropriate approach for diagnosing mood disorders.

An overview of metabolomic and proteomic profiling in bipolar disorder and its clinical value

INTRODUCTION

Bipolar disorder (BD) is a complex psychiatric disease characterized by alternating mood episodes. As for any other psychiatric illness, currently there is no biochemical test that is able to support diagnosis or therapeutic decisions for BD. In this context, the discovery and validation of biomarkers are interesting strategies that can be achieved through proteomics and metabolomics.

AREAS COVERED

In this descriptive review, a literature search including original articles and systematic reviews published in the last decade was performed with the objective to discuss the results of BD proteomic and metabolomic profiling analyses and indicate proteins and metabolites (or metabolic pathways) with potential clinical value.

EXPERT OPINION

A large number of proteins and metabolites have been reported as potential BD biomarkers; however, most studies do not reach biomarker validation stages. An effort from the scientific community should be directed toward the validation of biomarkers and the development of simplified bioanalytical techniques or protocols to determine them in biological samples, in order to translate proteomic and metabolomic findings into clinical routine assays.

Child and adolescent anxiety as a risk factor for bipolar disorder: A systematic review of longitudinal studies

OBJECTIVES

Several studies have suggested that anxiety disorders in childhood and adolescence often precede the onset of bipolar disorder. We therefore systematically reviewed the relationship between child and adolescent anxiety and later bipolar disorder.

METHODS

Online databases (Medline [for Ovid], EMBASE and PsychINFO) were searched for original, peer-reviewed studies examining the relationship between child and adolescent anxiety and later bipolar disorder. Studies in both community samples and bipolar offspring samples were included.

RESULTS

A total of 16 studies were included in the review. The results were broadly consistent and revealed that child and adolescent anxiety disorders are associated with later bipolar disorder in community samples. In bipolar offspring, child and adolescent anxiety disorders are a marker of increased risk and predict the onset of bipolar disorder and other major mood disorders.

CONCLUSIONS

There is evidence that anxiety disorders in childhood and adolescence increase the risk of later bipolar disorder. Anxiety disorders may be a useful target for early intervention in those at high-risk of bipolar disorder.

Detection of bipolar disorder in the prodromal phase: A systematic review of assessment instruments

BACKGROUND

Early detection of prodromal symptoms may contribute to improving the prognosis of patients with bipolar disorder (BD). The main objective of this systematic review is to present the different procedures for the identification of initial and relapse prodromes in these patients.

METHODS

PsycINFO, Web of Science and PubMed databases were searched using a predetermined strategy, until January 4, 2022. Then, by means of a regulated process, studies that used a BD prodrome detection procedure, in English-language and all ages participants were selected. Quantitative and qualitative studies were assessed using a modified version of the Newcastle-Ottawa Scale and by Critical Appraisals Skills Programme checklist, respectively.

RESULTS

Forty-five studies were selected. Of these, 26 used procedures for identifying initial prodromes (n = 8014) and 19 used procedures for detecting relapse prodromes (n = 1136). The interview was the most used method in the detection of both types of prodromes (k = 30 papers, n = 4068). It was variable in its degree of structure. Mobile applications and digital technologies are gaining importance in the detection of the relapse prodromes.

LIMITATIONS

A retrospective design in most papers, small samples sizes, existence of persistent subsyndromal symptoms and difficulty to identify the end of the prodrome and the onset of the disorder.

CONCLUSIONS

There is a wide variety of assessment instruments to detect prodromes in BD, among which the clinical interview is most frequently used. Future research should consider development of a brief tool to be applied in different formats to patients and family members.

Altered dynamic amplitude of low-frequency fluctuation between bipolar type I and type II in the depressive state

BACKGROUND

Bipolar disorder is a chronic and highly recurrent mental disorder that can be classified as bipolar type I (BD I) and bipolar type II (BD II). BD II is sometimes taken as a milder form of BD I or even doubted as an independent subtype. However, the fact that symptoms and severity differ in patients with BD I and BD II suggests different pathophysiologies and underlying neurobiological mechanisms. In this study, we aimed to explore the shared and unique functional abnormalities between subtypes.

METHODS

The dynamic amplitude of low-frequency fluctuation (dALFF) was performed to compare 31 patients with BD I, 32 with BD II, and 79 healthy controls (HCs). Global dALFF was calculated using sliding-window analysis. Group differences in dALFF among the 3 groups were compared using analysis of covariance (ANCOVA), with covariates of age, sex, years of education, and mean FD, and Bonferroni correction was applied for post hoc analysis. Pearson and Spearman's correlations were conducted between clusters with significant differences and clinical features in the BD I and BD II groups, after which false error rate (FDR) was used for correction.

RESULTS

We found a significant decrease in dALFF values in BD patients compared with HCs in the following brain regions: the bilateral-side inferior frontal gyrus (including the triangular, orbital, and opercular parts), inferior temporal gyrus, the medial part of the superior frontal gyrus, middle frontal gyrus, anterior cingulum, insula gyrus, lingual gyrus, calcarine gyrus, precuneus gyrus, cuneus gyrus, left-side precentral gyrus, postcentral gyrus, inferior parietal gyrus, superior temporal pole gyrus, middle temporal gyrus, middle occipital gyrus, superior occipital gyrus and right-side fusiform gyrus, parahippocampal gyrus, hippocampus, middle cingulum, orbital part of the medial frontal gyrus and superior frontal gyrus. Unique alterations in BD I were observed in the right-side supramarginal gyrus and postcentral gyrus. In addition, dALFF values in BD II were significantly higher than those in BD I in the right superior temporal gyrus and middle temporal gyrus. The variables of dALFF correlated with clinical characteristics differently according to the subtypes, but no correlations survived after FDR correction.

LIMITATIONS

Our study was cross-sectional. Most of our patients were on medication, and the sample was limited.

CONCLUSIONS

Our findings demonstrated neurobiological characteristics of BD subtypes, providing evidence for BD II as an independent existence, which could be the underlying explanation for the specific symptoms and/or severity and point to potential biomarkers for the differential diagnosis of bipolar subtypes.