Neurocognitive Endophenotypes of Schizophrenia and Bipolar Disorder and Possible Associations with FKBP Variant rs3800373

The association of FKBP5 polymorphisms with the severity of depressive disorder in patients with methamphetamine use disorders

Background

Co-occurring depressive disorder (DD) in patients of methamphetamine use disorder (MAUD) impacts the diagnosis, treatment, and prognosis of the disease. Although FKBP5 has been associated with a variety of psychiatric disorders, whether FKBP5 influences depression susceptibility in MAUD is unknown so far.

Methods

Here, we sequenced six FKBP5 single-nucleotide polymorphism (SNP) sites (rs4713916, rs6926133, rs9470080, rs737054, rs4713902, and rs9470079) in 282 methamphetamine users. MAUD and DD were evaluated by clinical questionnaires. SPSS was used to analyze the relationship between FKBP5 SNPs and DD in individuals with MAUD.

Results

Of the 282 methamphetamine users, 161 individuals met the MAUD criteria, and among them, 50 patients (31.1%) had DD co-occurring. Importantly, the incidence of DD in individuals with MAUD was 3.314 times greater than that of the methamphetamine users who did not meet the MAUD criteria (p < 0.001). Although none of the six SNPs of FKBP5 were correlated with the co-occurrence of DD in the population with MAUD, two FKBP5 alleles (rs4713916A and rs6926133A) were substantially associated with the higher DD scores in patients with MAUD (p < 0.05). Moreover, those with the two risk alleles do not have much higher scores than those with a single risk allele, and the strong linkage disequilibrium of the two SNPs may be the underlying cause of this result. Despite having weak linkage disequilibrium with either rs4713916 or rs6926133, FKBP5 rs9470079 became risky when paired with either.

Conclusion

The results of this study revealed that the FKBP5 risk alleles (rs4713916A and rs6926133A) were associated with a greater probability of severe DD in patients with MAUD. These findings here would help with the development of biological early warning markers and the creation of personalized treatment strategies for MAUD.

Comparison of smoking cessation program registration, participation, smoking cessation medication utilization and abstinence rates between smokers with and without schizophrenia, schizo-affective disorder or bipolar disorder

INTRODUCTION

People with serious mental illness (SMI) are three times more likely to smoke and be heavy smokers than smokers without SMI. Counseling combined with smoking cessation medication (SCM) is the recommended treatment. However until 2017, SCM prescription for SMI smokers was discouraged (FDA black box warning). This study compared use of smoking cessation programs (SCP) and SCM between smokers with and without SMI.

METHODS

Data regarding SCP and SCM use were extracted from the database of a large HMO that offers free Group and telephone SCP. SCP registration, participation, completion and abstinence rates between July 2013 and December 2019 were compared between smokers with and without SMI, controlling for demographic and health variables.

RESULTS

48,000 smokers registered for a SCP during the study period. Smokers with SMI were 1.8 times more likely to register for a SCP than smokers without SMI. Smokers without SMI were, however, 1.2 times more likely to start the SCP, 1.5 times more likely to complete the SCP and 1.6 times more likely to have quit by the end of the program. The strongest factors predicting abstinence were SCP completion and SCM use. Smokers with SMI were less likely to purchase SCM, although their purchase rate increased after the black box warning was lifted.

CONCLUSIONS

Smoking cessation programs and SCM use should be encouraged in the SMI population. Providing support during the quit attempt and adapting SCP to the needs of smokers with SMI, combined with SCM prescription promotion, should improve abstinence.

IMPLICATIONS

Smokers with serious mental illness (SMI) were more likely to seek professional help to quit smoking than non-SMI smokers, with over 30% achieving abstinence, discrediting healthcare professional beliefs that SMI smokers don't want to and cannot quit. Smoking cessation program (SCP) completion and smoking cessation medication (SCM) utilization were the strongest predictors of abstinence. SMI smokers were more likely to drop out of SCPs and less likely to use SCMs. Providing support during the quit attempt and adapting SCPs to the needs of smokers with SMI, combined with SCM prescription promotion, should improve abstinence.

Neurocognitive Impairment in Bipolar Disorder and Associated Factors: Using Population-based Norms and a Strict Criterion for Impairment Definition

BACKGROUND

Cognitive impairment is often identified in individuals with bipolar disorder and is associated with their functional impairment. However, there is controversy surrounding potential classification methods for impairment in cognitive measures.

OBJECTIVE

To examine the proportion of cognitive measures indicating impairment of attention, processing speed, memory, visuoconstructional abilities, and executive functions in individuals with bipolar disorder type I (euthymic) and healthy controls, using a strict criterion for defining impairment.

METHODS

We gave 43 individuals with bipolar disorder type I and 17 healthy controls a comprehensive clinical and neuropsychological assessment. All scores were standardized using means and standard deviations according to age. Impaired performance in all cognitive measures was determined using a distribution-based threshold of z=±1645. The effects of the sociodemographic and clinical variables on cognitive performance were examined using multiple stepwise backward regression analyses.

RESULTS

Clinically significant cognitive impairment was observed more frequently in the bipolar disorder group, compared to controls, on all measures. From participant factors, we found that level of education and number of manic episodes predicted variation in more cognitive measure scores.

DISCUSSION

The use of population-based norms to standardize cognitive measures, and a strict criterion to define cognitive impairment, in individuals with bipolar disorder type 1 and healthy controls resulted in a prevalence of impairment in cognitive domains' frequencies of deficits that fell within the ranges previously reported in meta-analyses.

CONCLUSIONS

Clinically introducing population norms and a stringent cognitive impairment criterion can facilitate more accurate measures of cognitive impairment in individuals with bipolar disorder.