FK506 binding protein 51 (FKBP51) is an Hsp90 co-chaperone and regulator of the glucocorticoid receptor, and consequently of stress physiology. Clinical studies suggest a genetic link between FKBP51 ...and antidepressant response in mood disorders; however, the underlying mechanisms remain elusive. The objective of this study was to elucidate the role of FKBP51 in the actions of antidepressants, with a particular focus on pathways of autophagy.
Established cell lines, primary neural cells, human blood cells of healthy individuals and patients with depression, and mice were treated with antidepressants. Mice were tested for several neuroendocrine and behavioral parameters. Protein interactions and autophagic pathway activity were mainly evaluated by co-immunoprecipitation and Western blots. We first show that the effects of acute antidepressant treatment on behavior are abolished in FKBP51 knockout (51KO) mice. Autophagic markers, such as the autophagy initiator Beclin1, were increased following acute antidepressant treatment in brains from wild-type, but not 51KO, animals. FKBP51 binds to Beclin1, changes decisive protein interactions and phosphorylation of Beclin1, and triggers autophagic pathways. Antidepressants and FKBP51 exhibited synergistic effects on these pathways. Using chronic social defeat as a depression-relevant stress model in combination with chronic paroxetine (PAR) treatment revealed that the stress response, as well as the effects of antidepressants on behavior and autophagic markers, depends on FKBP51. In human blood cells of healthy individuals, FKBP51 levels correlated with the potential of antidepressants to induce autophagic pathways. Importantly, the clinical antidepressant response of patients with depression (n = 51) could be predicted by the antidepressant response of autophagic markers in patient-derived peripheral blood lymphocytes cultivated and treated ex vivo (Beclin1/amitriptyline: r = 0.572, p = 0.003; Beclin1/PAR: r = 0.569, p = 0.004; Beclin1/fluoxetine: r = 0.454, p = 0.026; pAkt/amitriptyline: r = -0.416, p = 0.006; pAkt/PAR: r = -0.355, p = 0.021; LC3B-II/PAR: r = 0.453, p = 0.02), as well as by the lymphocytic expression levels of FKBP51 (r = 0.631, p<0.0001), pAkt (r = -0.515, p = 0.003), and Beclin1 (r = 0.521, p = 0.002) at admission. Limitations of the study include the use of male mice only and the relatively low number of patients for protein analyses.
To our knowledge, these findings provide the first evidence for the molecular mechanism of FKBP51 in priming autophagic pathways; this process is linked to the potency of at least some antidepressants. These newly discovered functions of FKBP51 also provide novel predictive markers for treatment outcome, consistent with physiological and potential clinical relevance. Please see later in the article for the Editors' Summary.
Objective
Anxiety symptoms are highly prevalent among individuals with bipolar disorder (BD) but there is little guidance on pharmacotherapy for these symptoms. The objective of this systematic ...review and meta‐analysis was to evaluate the available evidence for pharmacotherapy of comorbid anxiety symptoms in BD.
Methods
Completed randomized clinical trials (RCTs) of medications for BD published prior to December 2020 were identified through a systematic search of MEDLINE, Embase, PsycInfo, Web of Science, clinicaltrials.gov, and the ISRCTN. Data from RCTs measuring anxiety symptoms at baseline and endpoint and all‐cause discontinuation were pooled to compare the efficacy and acceptability of medications with control conditions.
Results
Thirty‐seven RCTs met our inclusion criteria; 13 placebo‐controlled RCTs with 2175 participants had sufficient data to be included in the meta‐analysis assessing anxiety symptoms. Compared with placebo, the overall effect size of medications (primarily atypical antipsychotics) on anxiety symptoms was small with a standardized mean difference (SMD) = −0.22 (95% CI: −0.34 to −0.11). Study heterogeneity was low (I2 = 26%). The acceptability of these medications was comparable with placebo with odds ratio of discontinuation from all causes = 0.98 (95% CI: 0.91–1.06).
Conclusion
There is limited evidence for a small anxiolytic effect and good acceptability of pharmacotherapy (primarily atypical antipsychotics) in the treatment of comorbid anxiety symptoms in BD. These results highlight the need for further research on medications other than atypical antipsychotics.
Indirect evidence suggests that common genetic variation contributes to individual differences in antidepressant efficacy among individuals with major depressive disorder, but previous studies may ...have been underpowered to detect these effects.
A meta-analysis was performed on data from three genome-wide pharmacogenetic studies (the Genome-Based Therapeutic Drugs for Depression GENDEP project, the Munich Antidepressant Response Signature MARS project, and the Sequenced Treatment Alternatives to Relieve Depression STAR*D study), which included 2,256 individuals of Northern European descent with major depressive disorder, and antidepressant treatment outcomes were prospectively collected. After imputation, 1.2 million single-nucleotide polymorphisms were tested, capturing common variation for association with symptomatic improvement and remission after up to 12 weeks of antidepressant treatment.
No individual association met a genome-wide threshold for statistical significance in the primary analyses. A polygenic score derived from a meta-analysis of GENDEP and MARS participants accounted for up to approximately 1.2% of the variance in outcomes in STAR*D, suggesting a weakly concordant signal distributed over many polymorphisms. An analysis restricted to 1,354 individuals treated with citalopram (STAR*D) or escitalopram (GENDEP) identified an intergenic region on chromosome 5 associated with early improvement after 2 weeks of treatment.
Despite increased statistical power accorded by meta-analysis, the authors identified no reliable predictors of antidepressant treatment outcome, although they did identify modest, direct evidence that common genetic variation contributes to individual differences in antidepressant response.
Mood and anxiety disorders are considered stress‐related diseases characterized by an impaired function of mineralocorticoid and glucocorticoid receptors (MR and GR, respectively), the major ...regulatory elements of the hypothalamus–pituitary–adrenocortical (HPA) axis. A number of so‐called chaperone proteins moderate the function of these receptors. Genetic variations in one of these chaperones, FKBP5, were associated with antidepressant treatment response in depression and with a major risk‐factor for the development of posttraumatic stress disorder. To further investigate the effect of FKPB5 polymorphisms on corticosteroid receptor‐mediated HPA axis regulation we conducted the Trier Social Stress test, a standardized procedure to evaluate psychosocial stress response, in 64 healthy volunteers. We genotyped rs4713916, rs1360780 and rs3800737, the three single nucleotide polymorphisms (SNPs) in the FKBP5 region which had shown the strongest effect in previous studies. In addition, we evaluated the effects of the GR polymorphisms Bcl1 and N363S as well as the MR polymorphism I180V. Subjects homozygous for any of the FKBP5 variants displayed an incomplete normalization of the stress‐elicited cortisol secretion. This was also observed following a second test additionally accompanied by an increased self‐reported anxiety. Regarding GR and MR, only carriers of the Bcl1 variant displayed an altered cortisol response in the prognosticated direction. While Bcl1 was predominantly associated with anticipatory cortisol, homozygous carriers of the FKBP5 minor allele showed insufficient cortisol recovery and increased self‐reported anxiety after psychosocial stress. This reaction pattern suggests that subjects carrying these variants are at risk of displaying chronically elevated cortisol levels after repeated stress constituting a risk factor for stress‐related diseases.
Structured care pathways (SCPs) consist of treatment algorithms that patients advance through with the goal of achieving remission or response. These SCPs facilitate the application of current ...evidence and adequate treatment, which potentially benefit patients with mood disorders. The aim of this systematic review was to provide an updated synthesis of SCPs for the treatment of depressive disorders and bipolar disorder (BD).
PubMed, PsycINFO, and Embase were searched through June 2022 for peer-reviewed studies examining outcomes of SCPs. Eligibility criteria included being published in a peer-reviewed journal in the English language, reporting of intervention used in the SCP, and having quantitative outcomes. Studies Cochrane risk of bias tool was used to assess quality of RCTs.
Thirty-six studies including 15,032 patients were identified for qualitative synthesis. Six studies included patients with BD. The studies were highly heterogeneous in design, outcome measures, and algorithms. More than half of the studies reported superiority of SCPs over treatment as usual, suggesting that the standardized structure and consistent monitoring inherent in SCPs may be contributing to their effectiveness. We also found accumulating evidence supporting feasibility of SCPs in different settings, although dropout rates were generally higher in SCPs. The studies included were limited to being published in peer-reviewed journals in English language. The heterogeneity of studies did not allow quantitative evaluation.
The findings of our study suggest that SCPs are equally or more effective than treatment as usual in depression and BD. Further studies are required to ascertain their effectiveness, particularly for BD, and to identify factors that influence their feasibility and success.
Abstract We analyzed insulin-like growth factor I (IGF-I) in serum of 78 inpatients with depression and 92 healthy controls. Patients were selected according to remission status after 6 weeks of ...antidepressant treatment with remission defined by Hamilton depression rating scale (HAM-D) 21-item score <10 (39 remitters and 39 non-remitters). IGF-I was analyzed in patients at admission and after 6 weeks of psychopharmacological treatment. IGF-I levels were compared between patients and controls and between remitters and non-remitters with general linear model using age, gender, and body mass index as covariates. In patients, IGF-I levels were significantly higher at admission ( p =3.29E−04) and in week 6 ( p =0.002) compared to controls. Furthermore, non-remitters showed significantly higher IGF-I levels at admission ( p =0.046) and a trend for higher IGF-I levels in week 6 ( p =0.11) compared to remitters. In remitters change in IGF-I levels during treatment was significantly correlated with change in cortisol levels ( p =0.019). A genetic association analysis of polymorphisms in 10 genes contributing to the IGF-I system (IGF1, IGF1R, IGFBP1 to IGFBP7, and IGFBPL1) in the currently largest genetic databases for major depression (Psychiatric Genomics Consortium) revealed nominal associations with susceptibility for depression and treatment response, although results did not remain significant after multiple testing correction. In our study, elevated IGF-I levels were significantly associated with depression and impaired treatment response. Based on these findings IGF-I signaling could play a role in the pathophysiology of depression and could possibly influence the response to antidepressant treatment.
Background Exaggerated corticotropin (ACTH) and cortisol response to the combined dexamethasone (DEX)/corticotropin releasing hormone (CRH) test, indicating impaired regulation of the ...hypothalamus-pituitary-adrenocortical (HPA) system, is frequently observed in depression. In the present study, we examined whether change in HPA system function during the first weeks of hospitalization predicts response to antidepressant treatment in major depression and thus constitutes a potential biomarker. Methods We conducted the DEX/CRH test in 50 inpatients suffering from severe major depression, once after study inclusion and a second time 2 to 3 weeks later while under continuous antidepressant treatment. Results We found increased ACTH and cortisol responses to the first DEX/CRH test compared with healthy control subjects. In the second DEX/CRH test 2 to 3 weeks later, 36 of the 50 patients showed an attenuated cortisol response, while 14 patients did not display improvement or exhibited even aggravation of the altered HPA system function. Improved HPA system regulation in the second DEX/CRH test was associated with beneficial treatment response after 5 weeks and a higher remission rate at the end of hospitalization. Conclusions The results suggest that change in HPA system regulation assessed with repeated DEX/CRH tests is a potential biomarker that may predict clinical outcome at follow-up. There is consensus that the drug development process could be improved, once reliable biomarkers become available that help to allow a judgement regarding the efficacy of a novel drug candidate. The combined DEX/CRH test seems to be a promising candidate for such a biomarker.
The clinical efficacy of a systemically administered drug acting on the central nervous system depends on its ability to pass the blood-brain barrier, which is regulated by transporter molecules such ...as
ABCB1 (MDR1). Here we report that polymorphisms in the
ABCB1 gene predict the response to antidepressant treatment in those depressed patients receiving drugs that have been identified as substrates of
ABCB1 using
abcb1ab double-knockout mice. Our results indicate that the combined consideration of both the medication's capacity to act as an
ABCB1-transporter substrate and the patient's
ABCB1 genotype are strong predictors for achieving a remission. This finding can be viewed as a further step into personalized antidepressant treatment.
Advancements in artificial intelligence (AI) are enabling the development of clinical support tools (CSTs) in psychiatry to facilitate the review of patient data and inform clinical care. To promote ...their successful integration and prevent over-reliance, it is important to understand how psychiatrists will respond to information provided by AI-based CSTs, particularly if it is incorrect. We conducted an experiment to examine psychiatrists' perceptions of AI-based CSTs for treating major depressive disorder (MDD) and to determine whether perceptions interacted with the quality of CST information. Eighty-three psychiatrists read clinical notes about a hypothetical patient with MDD and reviewed two CSTs embedded within a single dashboard: the note's summary and a treatment recommendation. Psychiatrists were randomised to believe the source of CSTs was either AI or another psychiatrist, and across four notes, CSTs provided either correct or incorrect information. Psychiatrists rated the CSTs on various attributes. Ratings for note summaries were less favourable when psychiatrists believed the notes were generated with AI as compared to another psychiatrist, regardless of whether the notes provided correct or incorrect information. A smaller preference for psychiatrist-generated information emerged in ratings of attributes that reflected the summary's accuracy or its inclusion of important information from the full clinical note. Ratings for treatment recommendations were also less favourable when their perceived source was AI, but only when recommendations were correct. There was little evidence that clinical expertise or familiarity with AI impacted results. These findings suggest that psychiatrists prefer human-derived CSTs. This preference was less pronounced for ratings that may have prompted a deeper review of CST information (i.e. a comparison with the full clinical note to evaluate the summary's accuracy or completeness, assessing an incorrect treatment recommendation), suggesting a role of heuristics. Future work should explore other contributing factors and downstream implications for integrating AI into psychiatric care.
Prevention of major depressive disorder (MDD) is a public health priority. Identifying biomarkers of underlying biological processes that contribute to MDD onset may help address this public health ...need. This prospective cohort study encompassed 383,131 white British participants from the UK Biobank with no prior history of MDD, with replication in 50,759 participants of other ancestries. Leveraging linked inpatient and primary care records, we computed adjusted odds ratios for 5-year MDD incidence among individuals with values below or above the 95% confidence interval (<2.5th or >97.5th percentile) on each of 57 laboratory measures. Sensitivity analyses were performed across multiple percentile thresholds and in comparison to established reference ranges. We found that indicators of liver dysfunction were associated with increased 5-year MDD incidence (even after correction for alcohol use and body mass index): elevated alanine aminotransferase (AOR = 1.35, 95% confidence interval 1.16, 1.58), aspartate aminotransferase (AOR = 1.39 1.19, 1.62), and gamma glutamyltransferase (AOR = 1.52 1.31, 1.76) as well as low albumin (AOR = 1.28 1.09, 1.50). Similar observations were made with respect to endocrine dysregulation, specifically low insulin-like growth factor 1 (AOR = 1.34 1.16, 1.55), low testosterone among males (AOR = 1.60 1.27, 2.00), and elevated glycated hemoglobin (HbA1C; AOR = 1.23 1.05, 1.43). Markers of renal impairment (i.e. elevated cystatin C, phosphate, and urea) and indicators of anemia and macrocytosis (i.e. red blood cell enlargement) were also associated with MDD incidence. While some immune markers, like elevated white blood cell and neutrophil count, were associated with MDD (AOR = 1.23 1.07, 1.42), others, like elevated C-reactive protein, were not (AOR = 1.04 0.89, 1.22). The 30 significant associations validated as a group in the multi-ancestry replication cohort (Wilcoxon p = 0.0005), with a median AOR of 1.235. Importantly, all 30 significant associations with extreme laboratory test results were directionally consistent with an increased MDD risk. In sum, markers of liver and kidney dysfunction, growth hormone and testosterone deficiency, innate immunity, anemia, macrocytosis, and insulin resistance were associated with MDD incidence in a large community-based cohort. Our results support a contributory role of diverse biological processes to MDD onset.
PDF
