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Sökning: WFRF:(Backlund Lena) > Karolinska Institutet

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1.
  • Amare, Azmeraw, et al. (författare)
  • Association of Polygenic Score and the involvement of Cholinergic and Glutamatergic Pathways with Lithium Treatment Response in Patients with Bipolar Disorder.
  • 2023
  • Ingår i: Research square. - : Research Square Platform LLC.
  • Tidskriftsartikel (refereegranskat)abstract
    • Lithium is regarded as the first-line treatment for bipolar disorder (BD), a severe and disabling mental disorder that affects about 1% of the population worldwide. Nevertheless, lithium is not consistently effective, with only 30% of patients showing a favorable response to treatment. To provide personalized treatment options for bipolar patients, it is essential to identify prediction biomarkers such as polygenic scores. In this study, we developed a polygenic score for lithium treatment response (Li+PGS) in patients with BD. To gain further insights into lithium's possible molecular mechanism of action, we performed a genome-wide gene-based analysis. Using polygenic score modeling, via methods incorporating Bayesian regression and continuous shrinkage priors, Li+PGS was developed in the International Consortium of Lithium Genetics cohort (ConLi+Gen: N=2,367) and replicated in the combined PsyCourse (N=89) and BipoLife (N=102) studies. The associations of Li+PGS and lithium treatment response - defined in a continuous ALDA scale and a categorical outcome (good response vs. poor response) were tested using regression models, each adjusted for the covariates: age, sex, and the first four genetic principal components. Statistical significance was determined at P<����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.
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2.
  • Amare, Azmeraw T, et al. (författare)
  • Association of polygenic score and the involvement of cholinergic and glutamatergic pathways with lithium treatment response in patients with bipolar disorder.
  • 2023
  • Ingår i: Molecular psychiatry. - 1476-5578.
  • Tidskriftsartikel (refereegranskat)abstract
    • Lithium is regarded as the first-line treatment for bipolar disorder (BD), a severe and disabling mental health disorder that affects about 1% of the population worldwide. Nevertheless, lithium is not consistently effective, with only 30% of patients showing a favorable response to treatment. To provide personalized treatment options for bipolar patients, it is essential to identify prediction biomarkers such as polygenic scores. In this study, we developed a polygenic score for lithium treatment response (Li+PGS) in patients with BD. To gain further insights into lithium's possible molecular mechanism of action, we performed a genome-wide gene-based analysis. Using polygenic score modeling, via methods incorporating Bayesian regression and continuous shrinkage priors, Li+PGS was developed in the International Consortium of Lithium Genetics cohort (ConLi+Gen: N = 2367) and replicated in the combined PsyCourse (N = 89) and BipoLife (N = 102) studies. The associations of Li+PGS and lithium treatment response - defined in a continuous ALDA scale and a categorical outcome (good response vs. poor response) were tested using regression models, each adjusted for the covariates: age, sex, and the first four genetic principal components. Statistical significance was determined at P < 0.05. Li+PGS was positively associated with lithium treatment response in the ConLi+Gen cohort, in both the categorical (P = 9.8 × 10-12, R2 = 1.9%) and continuous (P = 6.4 × 10-9, R2 = 2.6%) outcomes. Compared to bipolar patients in the 1st decile of the risk distribution, individuals in the 10th decile had 3.47-fold (95%CI: 2.22-5.47) higher odds of responding favorably to lithium. The results were replicated in the independent cohorts for the categorical treatment outcome (P = 3.9 × 10-4, R2 = 0.9%), but not for the continuous outcome (P = 0.13). Gene-based analyses revealed 36 candidate genes that are enriched in biological pathways controlled by glutamate and acetylcholine. Li+PGS may be useful in the development of pharmacogenomic testing strategies by enabling a classification of bipolar patients according to their response to treatment.
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3.
  • Amare, Azmeraw T, et al. (författare)
  • Association of Polygenic Score for Schizophrenia and HLA Antigen and Inflammation Genes With Response to Lithium in Bipolar Affective Disorder: A Genome-Wide Association Study.
  • 2018
  • Ingår i: JAMA psychiatry. - : American Medical Association (AMA). - 2168-6238 .- 2168-622X. ; 75:1, s. 65-74
  • Tidskriftsartikel (refereegranskat)abstract
    • Lithium is a first-line mood stabilizer for the treatment of bipolar affective disorder (BPAD). However, the efficacy of lithium varies widely, with a nonresponse rate of up to 30%. Biological response markers are lacking. Genetic factors are thought to mediate treatment response to lithium, and there is a previously reported genetic overlap between BPAD and schizophrenia (SCZ).To test whether a polygenic score for SCZ is associated with treatment response to lithium in BPAD and to explore the potential molecular underpinnings of this association.A total of 2586 patients with BPAD who had undergone lithium treatment were genotyped and assessed for long-term response to treatment between 2008 and 2013. Weighted SCZ polygenic scores were computed at different P value thresholds using summary statistics from an international multicenter genome-wide association study (GWAS) of 36 989 individuals with SCZ and genotype data from patients with BPAD from the Consortium on Lithium Genetics. For functional exploration, a cross-trait meta-GWAS and pathway analysis was performed, combining GWAS summary statistics on SCZ and response to treatment with lithium. Data analysis was performed from September 2016 to February 2017.Treatment response to lithium was defined on both the categorical and continuous scales using the Retrospective Criteria of Long-Term Treatment Response in Research Subjects with Bipolar Disorder score. The effect measures include odds ratios and the proportion of variance explained.Of the 2586 patients in the study (mean [SD] age, 47.2 [13.9] years), 1478 were women and 1108 were men. The polygenic score for SCZ was inversely associated with lithium treatment response in the categorical outcome, at a threshold P < 5 × 10-2. Patients with BPAD who had a low polygenic load for SCZ responded better to lithium, with odds ratios for lithium response ranging from 3.46 (95% CI, 1.42-8.41) at the first decile to 2.03 (95% CI, 0.86-4.81) at the ninth decile, compared with the patients in the 10th decile of SCZ risk. In the cross-trait meta-GWAS, 15 genetic loci that may have overlapping effects on lithium treatment response and susceptibility to SCZ were identified. Functional pathway and network analysis of these loci point to the HLA antigen complex and inflammatory cytokines.This study provides evidence for a negative association between high genetic loading for SCZ and poor response to lithium in patients with BPAD. These results suggest the potential for translational research aimed at personalized prescribing of lithium.
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4.
  • Backlund, Lena, et al. (författare)
  • Cognitive manic symptoms associated with the P2RX7 gene in bipolar disorder.
  • 2011
  • Ingår i: Bipolar disorders. - : Wiley. - 1399-5618 .- 1398-5647. ; 13:5-6, s. 500-8
  • Tidskriftsartikel (refereegranskat)abstract
    • Several genetic loci have been suggested to be associated with bipolar disorder but results have been inconsistent. Studying associations between bipolar symptoms and candidate genes may better expose this relationship. Here we investigate the association between bipolar key symptoms and the P2RX7 gene.
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5.
  • Backlund, Lena (författare)
  • Determinants of long term course in bipolar disorder
  • 2010
  • Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
    • Introduction: Bipolar disorder (BP) is a common and severe psychiatric illness with a high variability. An early treatment is often crucial for a good prognosis, but it is difficult for clinicians to define high risk patients in order to predict a more severe course. Our aim was to investigate factors predicting the long-term course of BP. Methods: We have retrospectively investigated the course of illness in 100 BP patients, using a life-charting program. Predictors and their impact on the outcome of lithium treatment were analyzed (Paper I). We then used the Swedish in-patient registry to study the annual incidence rate of BP patients hospitalized for the first time during 1997-2005. We also monitored the readmission rates during five years of patients who had their first admission for bipolar episodes during year 2000 (Paper II). Two groups of BP patients were recruited from a number of psychiatric outpatient clinics for molecular genetic studies. Manic symptoms were assessed and phenotype variations such as mixed episodes (ME), rapid cycling (RC), and the age at onset were defined. Using association analysis, patients with specific symptoms/phenotypes were compared to the other bipolar patients for genetic markers in one small sample. Positive associations identified were then searched for in a larger second sample (Papers III and IV). Results: The number of episodes decreased after the introduction of lithium. An early onset was associated with a longer time until treatment (18.1 vs.10.7 years). The most important predictors for a poor outcome during treatment were RC (OR=10.7), comorbidity (OR=3.8), and ME (OR=2.8) (Paper I). The average length of stay during the first hospitalization was 42 days for ME compared to 30 days for other episodes. Of the 874 participants who had had their first admission for a bipolar episode in 2000, 44% had at least one readmission during the 5-year follow-up. A small group (15%) accounted for more than one half of the readmissions during the same period (Paper II). Utilizing molecular genetics, cognitive symptoms in mania were found to be associated with the SNP rs1718119 (p<0.0006; Paper III), and RC with the SNP rs2230912 (p<0.004; paper IV), both SNPs being located in the P2RX7 gene. Combining the SNP rs2230912 in the P2RX7 gene and the previously associated rs10838524 in the CRY2 gene in an epistasis analysis yielded evidence of a strong association with RC (p=0.000005; OR=7.4). Conclusions: The life-charting methodology can be useful in studying the long-term course of BP. A limitation is that the multitude of data on each studied patient limits the possibility of dealing with large samples. Our findings support the results of previous studies suggesting that RC, ME and comorbidity for other Axis I disorders are important predictors for a more severe course of illness. Most of the first admitted BP patients were not readmitted in the subsequent 5-year period. The genetic findings suggest that different symptoms in BP are associated with specific genes, making the biological pathways behind BP more transparent. The finding that BP patients with a specific combination of variations in the P2RX7 and CRY 2 genes run a 7-fold greater risk of developing RC that those patients not having this combination, is a new contribution to the research field, which increase the possibility of identifying patients who risk developing a more severe course of BP.
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6.
  • Backlund, Lena, et al. (författare)
  • Identifying predictors for good lithium response - A retrospective analysis of 100 patients with bipolar disorder using a life-charting method.
  • 2009
  • Ingår i: European psychiatry : the journal of the Association of European Psychiatrists. - : Cambridge University Press (CUP). - 0924-9338. ; 24:3, s. 171-7
  • Tidskriftsartikel (refereegranskat)abstract
    • PURPOSE: Our aim was to investigate bipolar patients in order to test the validity of various outcome measures and to identify prognostic predictors for pharmacological treatment. MATERIAL AND METHOD: One hundred patients were interviewed using a computerized life-charting program in a descriptive, retrospective analysis. The concept "Burden of illness" was defined as a combination of severity and duration of episodes. Response to treatment was defined as the difference in burden before and after treatment, a low burden during treatment, and freedom of episodes for at least 3 years after insertion of treatment. RESULTS: The absence of mixed episodes and a high initial burden predicted a good response measured as the difference in burden. If remission for 3 years or a low burden during lithium treatment was used, the absence of rapid cycling and of mixed episodes were the most important predictors. The severity of illness before treatment had no impact. DISCUSSION AND CONCLUSION: We suggest the use of absolute measures of severity during treatment as the most appropriate measure of the outcome. Furthermore, our data provide corroboration that treatment with lithium ameliorates the prognosis of the illness, but that mixed episodes and rapid cycling predict a poorer response to lithium.
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7.
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8.
  • Charney, Alexander W, et al. (författare)
  • Contribution of Rare Copy Number Variants to Bipolar Disorder Risk Is Limited to Schizoaffective Cases.
  • 2019
  • Ingår i: Biological psychiatry. - : Elsevier BV. - 1873-2402 .- 0006-3223. ; 86:2, s. 110-119
  • Tidskriftsartikel (refereegranskat)abstract
    • Genetic risk for bipolar disorder (BD) is conferred through many common alleles, while a role for rare copy number variants (CNVs) is less clear. Subtypes of BD including schizoaffective disorder bipolar type (SAB), bipolar I disorder (BD I), and bipolar II disorder (BD II) differ according to the prominence and timing of psychosis, mania, and depression. The genetic factors contributing to the combination of symptoms among these subtypes are poorly understood.Rare large CNVs were analyzed in 6353 BD cases (3833 BD I [2676 with psychosis, 850 without psychosis, and 307 with unknown psychosis history], 1436 BD II, 579 SAB, and 505 BD not otherwise specified) and 8656 controls. CNV burden and a polygenic risk score (PRS) for schizophrenia were used to evaluate the relative contributions of rare and common variants to risk of BD, BD subtypes, and psychosis.CNV burden did not differ between BD and controls when treated as a single diagnostic entity. However, burden in SAB was increased relative to controls (p = .001), BD I (p = .0003), and BD II (p = .0007). Burden and schizophrenia PRSs were increased in SAB compared with BD I with psychosis (CNV p = .0007, PRS p = .004), and BD I without psychosis (CNV p = .0004, PRS p = 3.9 × 10-5). Within BD I, psychosis was associated with increased schizophrenia PRSs (p = .005) but not CNV burden.CNV burden in BD is limited to SAB. Rare and common genetic variants may contribute differently to risk for psychosis and perhaps other classes of psychiatric symptoms.
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9.
  • Coombes, Brandon J, et al. (författare)
  • Association of Attention-Deficit/Hyperactivity Disorder and Depression Polygenic Scores with Lithium Response: A Consortium for Lithium Genetics Study.
  • 2021
  • Ingår i: Complex psychiatry. - : S. Karger AG. - 2673-3005 .- 2673-298X. ; 7:3-4, s. 80-89
  • Tidskriftsartikel (refereegranskat)abstract
    • Response to lithium varies widely between individuals with bipolar disorder (BD). Polygenic risk scores (PRSs) can uncover pharmacogenomics effects and may help predict drug response. Patients (N = 2,510) with BD were assessed for long-term lithium response in the Consortium on Lithium Genetics using the Retrospective Criteria of Long-Term Treatment Response in Research Subjects with Bipolar Disorder score. PRSs for attention-deficit/hyperactivity disorder (ADHD), major depressive disorder (MDD), and schizophrenia (SCZ) were computed using lassosum and in a model including all three PRSs and other covariates, and the PRS of ADHD (β = -0.14; 95% confidence interval [CI]: -0.24 to -0.03; p value = 0.010) and MDD (β = -0.16; 95% CI: -0.27 to -0.04; p value = 0.005) predicted worse quantitative lithium response. A higher SCZ PRS was associated with higher rates of medication nonadherence (OR = 1.61; 95% CI: 1.34-1.93; p value = 2e-7). This study indicates that genetic risk for ADHD and depression may influence lithium treatment response. Interestingly, a higher SCZ PRS was associated with poor adherence, which can negatively impact treatment response. Incorporating genetic risk of ADHD, depression, and SCZ in combination with clinical risk may lead to better clinical care for patients with BD.
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10.
  • Ejeby, Kersti, et al. (författare)
  • Randomized controlled trial of transdiagnostic group treatments for primary care patients with common mental disorders
  • 2014
  • Ingår i: Family Practice. - : Oxford University Press (OUP). - 0263-2136 .- 1460-2229. ; 31:3, s. 273-280
  • Tidskriftsartikel (refereegranskat)abstract
    • Background. The purpose was to test the effectiveness of two transdiagnostic group interventions compared to care as usual (CAU) for patients with anxiety, depressive or stress-related disorders within a primary health care context. Objectives. To compare the effects of cognitive-based-behavioural therapy (CBT) and multimodal intervention (MMI) on the quality of life and relief of psychological symptoms of patients with common mental disorders or problems attending primary health care centre. Methods. Patients (n = 278), aged 18-65 years, were referred to the study by the GPs and 245 were randomized to CAU or one of two group interventions in addition to CAU: (i) group CBT administered by psychologists and (ii) group MMI administered by assistant nurses. The primary outcome measure was the Mental Component Summary score of short form 36. Secondary outcome measures were Perceived Stress Scale and Self-Rating Scale for Affective Syndromes. The data were analysed using intention-to-treat with a linear mixed model. Results. On the primary outcome measure, the mean improvement based on mixed model analyses across post-and follow-up assessment was significantly larger for the MMI group than for the CBT (4.0; P = 0.020) and CAU (7.5; P = .001) groups. Participants receiving CBT were significantly more improved than those in the CAU group. On four of the secondary outcome measures, the MMI group was significantly more improved than the CBT and CAU groups. The course of improvement did not differ between the CBT group and the CAU group on these measures. Conclusions. Transdiagnostic group treatment can be effective for patients with common mental disorders when delivered in a primary care setting. The group format and transdiagnostic approach fit well with the requirements of primary care.
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