Dimitrios Tsiantoulas, Thomas Perkmann, Taras Afonyushkin, Andreas Mangold, Thomas A. Prohaska, Nikolina Papac-Milicevic, Vincent Millischer, Caroline Bartel, Sohvi Hörkkö, Chantal M. Boulanger, Sotirios Tsimikas, Michael B. Fischer, Joseph L. Witztum, Irene M. Lang, Christoph J. Binder

Diet‐related health issues such as nonalcoholic fatty liver disease and cardiovascular disorders are known to have a major inflammatory component. However, the exact pathways linking diet‐induced changes (e.g., hyperlipidemia) and the ensuing inflammation have remained elusive so far. We identified biological processes related to innate immunity and oxidative stress as prime response pathways in livers of low‐density lipoprotein receptor‐deficient mice on a Western‐type diet using RNA sequencing and in silico functional analyses of transcriptome data. The observed changes were independent of the presence of microbiota and thus indicative of a role for sterile triggers. We further show that malondialdehyde (MDA) epitopes, products of lipid peroxidation and markers for enhanced oxidative stress, are detectable in hepatic inflammation predominantly on dying cells and stimulate cytokine secretion as well as leukocyte recruitment in vitro and in vivo. MDA‐induced cytokine secretion in vitro was dependent on the presence of the scavenger receptors CD36 and MSR1. Moreover, in vivo neutralization of endogenously generated MDA epitopes by intravenous injection of a specific MDA antibody results in decreased hepatic inflammation in low‐density lipoprotein receptor‐deficient mice on a Western‐type diet. Conclusion: Accumulation of MDA epitopes plays a major role during diet‐induced hepatic inflammation and can be ameliorated by administration of an anti‐MDA antibody. (Hepatology 2017;65:1181‐1195)

Mitochondrial pathology has been implicated in the pathogenesis of psychotic disorders. A few studies have proposed reduced leukocyte mitochondrial DNA (mtDNA) copy number in schizophrenia and bipolar disorder type I, compared to healthy controls. However, it is unknown if mtDNA copy number alteration is driven by psychosis, comorbidity or treatment. Whole blood mtDNA copy number was determined in 594 psychosis patients and corrected for platelet to leukocyte count ratio (mtDNAcn_res). The dependence of mtDNAcn_res on clinical profile, metabolic comorbidity and antipsychotic drug exposure was assessed. mtDNAcn_res was reduced with age (β = −0.210, p < 0.001), use of clozapine (β = −0.110,p = 0.012) and risperidone (β = −0.109,p = 0.014), dependent on prescribed dosage (p = 0.006 and p = 0.026, respectively), and the proportion of life on treatment (p = 0.006). Clozapine (p = 0.0005) and risperidone (p = 0.0126) had a reducing effect on the mtDNA copy number also in stem cell-derived human neurons in vitro at therapeutic plasma levels. For patients not on these drugs, psychosis severity had an effect (β = −0.129, p = 0.017), similar to age (β = −0.159, p = 0.003) and LDL (β = −0.119, p = 0.029) on whole blood mtDNAcn_res. Further research is required to determine if mtDNAcn_res reflects any psychosis-intrinsic mitochondrial changes.

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 1^st decile of the risk distribution, individuals in the 10^th 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.