Histamine H4 receptor polymorphism: a potential predictor of risperidone efficacy

Clinical Utility and Implementation of Pharmacogenomics for the Personalisation of Antipsychotic Treatments

Decades of pharmacogenetic research have revealed genetic biomarkers of clinical response to antipsychotics. Genetic variants in antipsychotic targets, dopamine and serotonin receptors in particular, and in metabolic enzymes have been associated with the efficacy and toxicity of antipsychotic treatments. However, genetic prediction of antipsychotic response based on these biomarkers is far from accurate. Despite the clinical validity of these findings, the clinical utility remains unclear. Nevertheless, genetic information on CYP metabolic enzymes responsible for the biotransformation of most commercially available antipsychotics has proven to be effective for the personalisation of clinical dosing, resulting in a reduction of induced side effects and in an increase in efficacy. However, pharmacogenetic information is rarely used in psychiatric settings as a prescription aid. Lack of studies on cost-effectiveness, absence of clinical guidelines based on pharmacogenetic biomarkers for several commonly used antipsychotics, the cost of genetic testing and the delay in results delivery hamper the implementation of pharmacogenetic interventions in clinical settings. This narrative review will comment on the existing pharmacogenetic information, the clinical utility of pharmacogenetic findings, and their current and future implementations.

Peripheral biomarkers of treatment-resistant schizophrenia: Genetic, inflammation and stress perspectives

Treatment-resistant schizophrenia (TRS) often results in severe disability and functional impairment. Currently, the diagnosis of TRS is largely exclusionary and emphasizes the improvement of symptoms that may not be detected early and treated according to TRS guideline. As the gold standard, clozapine is the most prescribed selection for TRS. Therefore, how to predict TRS in advance is critical for forming subsequent treatment strategy especially clozapine is used during the early stage of TRS. Although mounting studies have identified certain clinical factors and neuroimaging characteristics associated with treatment response in schizophrenia, the predictors for TRS remain to be explored. Biomarkers, particularly for peripheral biomarkers, show great potential in predicting TRS in view of their predictive validity, noninvasiveness, ease of testing and low cost that would enable their widespread use. Recent evidence supports that the pathogenesis of TRS may be involved in abnormal neurotransmitter systems, inflammation and stress. Due to the heterogeneity of TRS and the lack of consensus in diagnostic criteria, it is difficult to compare extensive results among different studies. Based on the reported neurobiological mechanisms that may be associated with TRS, this paper narratively reviews the updates of peripheral biomarkers of TRS, from genetic and other related perspectives. Although current evidence regarding biomarkers in TRS remains fragmentary, when taken together, it can help to better understand the neurobiological interface of clinical phenotypes and psychiatric symptoms, which will enable individualized prediction and therapy for TRS in the long run.

Present and future antipsychotic drugs: a systematic review of the putative mechanisms of action for efficacy and a critical appraisal under a translational perspective

Antipsychotics represent the mainstay of schizophrenia pharmacological therapy, and their role has been expanded in the last years to mood disorders treatment. Although introduced in 1952, many years of research were required before an accurate picture of how antipsychotics work began to emerge. Despite the well-recognized characterization of antipsychotics in typical and atypical based on their liability to induce motor adverse events, their main action at dopamine D2R to elicit the "anti-psychotic" effect, as well as the multimodal action at other classes of receptors, their effects on intracellular mechanisms starting with receptor occupancy is still not completely understood. Significant lines of evidence converge on the impact of these compounds on multiple molecular signaling pathways implicated in the regulation of early genes and growth factors, dendritic spine shape, brain inflammation, and immune response, tuning overall the function and architecture of the synapse. Here we present, based on PRISMA approach, a comprehensive and systematic review of the above mechanisms under a translational perspective to disentangle those intracellular actions and signaling that may underline clinically relevant effects and represent potential targets for further innovative strategies in antipsychotic therapy.

Pharmacogenomic Characterization in Bipolar Spectrum Disorders

The holistic approach of personalized medicine, merging clinical and molecular characteristics to tailor the diagnostic and therapeutic path to each individual, is steadily spreading in clinical practice. Psychiatric disorders represent one of the most difficult diagnostic challenges, given their frequent mixed nature and intrinsic variability, as in bipolar disorders and depression. Patients misdiagnosed as depressed are often initially prescribed serotonergic antidepressants, a treatment that can exacerbate a previously unrecognized bipolar condition. Thanks to the use of the patient's genomic profile, it is possible to recognize such risk and at the same time characterize specific genetic assets specifically associated with bipolar spectrum disorder, as well as with the individual response to the various therapeutic options. This provides the basis for molecular diagnosis and the definition of pharmacogenomic profiles, thus guiding therapeutic choices and allowing a safer and more effective use of psychotropic drugs. Here, we report the pharmacogenomics state of the art in bipolar disorders and suggest an algorithm for therapeutic regimen choice.

The HRH4 rs11662595 mutation is associated with histamine H4 receptor dysfunction and with increased epithelial-to-mesenchymal transition progress in non-small cell lung cancer

We previously demonstrated that histamine H₄ receptor (HRH4) played important roles to suppress epithelial-to-mesenchymal transition (EMT) progress in non-small cell lung cancer (NSCLC). Furthermore, recent investigations suggested that genetic variations in HRH4 gene affected HRH4 function and eventually contributed to certain HRH4-related diseases. However, the relations between polymorphisms in HRH4 gene and NSCLC as well as their underlying mechanisms remain largely uninvestigated. This study aims to investigate the genetic effect of a nonsynonymous HRH4 polymorphism (rs11662595) on HRH4 function and its association with NSCLC both basically and clinically. For basic experiments, A549 cells were transfected with either wild type or rs11662595 mutated HRH4 clone and subjected to both in vitro and in vivo experiments. We showed that rs11662595 significantly decreased the ability of HRH4 to activate Gi protein, which resulted in facilitation of EMT progress, cell proliferation, and invasion behavior in vitro. Moreover, in vivo experiments also showed that rs11662595 attenuated the anti-EMT effects of HRH4 agonist in inoculated nu/nu mice. For clinical experiments, we performed a prospective cohort study among 624 NSCLC patients and further proved that rs11662595 was responsible for the prognosis, degree of malignancy and metastasis of NSCLC. In conclusion, these findings reveal that rs11662595 is a loss-of-function polymorphism that results in dysfunction of HRH4 and attenuates the anti-EMT function of HRH4 in NSCLC, which provides a promising biomarker for prognosis and therapy of NSCLC.

Combined study of genetic and epigenetic biomarker risperidone treatment efficacy in Chinese Han schizophrenia patients

Nowadays, risperidone is an atypical antipsychotic drug that has been increasingly used for treatment and maintenance therapy in schizophrenia. However, partially affected by genetic or environmental factors, there is significant difference in treatment outcomes among patients. In this study, we aimed to interpret the difference between good and poor responders treated with risperidone in both genetic and epigenetic levels in 288 mainland Chinese patients. We recruited a Henan cohort including 98 patients as initial discovery group and then confirmed our results in Shanghai cohort. In genetic studies, we found 10 candidate single-nucleotide polymorphisms (SNPs) and 2 rare variants in Henan cohort by next-generation sequencing of 100 risperidone-response-related genes. After replication in Shanghai cohort by massarray platform, ultimately, rs6706232 and rs4818 were significantly associated with risperidone response in the two cohort meta-analysis (P=0.024 and 0.04, respectively). Besides, we also selected another reported 17 candidate SNPs associated with risperidone drug response to replicate in our mainland Chinese samples, while, we found no significant SNPs after Bonferroni correction. In epigenetic studies, we investigated the methylation status in promoters or gene-coding region of risperidone drug response-related genes including CYP3A4, CYP2D6, ABCB1, HTR2A, DRD2. Totally we found seven significant CpG sites in the meta-analysis with Bonferroni-corrected P_{CYP3A4_CpG_-36}=0.0014, P_{CYP3A4_CpG_-258}=0.0013, P_{CYP3A4_CpG_-296}=0.0014, P_{CYP3A4_CpG_-367:-372:-374}=0.028, P_{CYP2D6_CpG_193}=0.012, P_{CYP2D6_CpG_242:244:250}=0.00076 and P_{CYP2D6_CpG_284}=0.034, respectively. As genetic and epigenetic factors may interactively affect drug response, we finally carried out a multivariant interaction analysis with multifactor dimensionality reduction and discovered a significant four-locus model (CYP3A4_CpG_-82:-86 +rs6280+rs1800497+rs6265, P=0.038) affecting drug response. These findings could partially explain different risperidone response outcome in Chinese population in a systematic level.

Clinical response in a risperidone-medicated naturalistic sample: patients' characteristics and dose-dependent pharmacokinetic patterns

The purpose of this study was to disentangle an association between plasma concentrations of risperidone (RIS), its active metabolite 9-hydroxyrisperidone (9-OH-RIS) and the active moiety, AM (RIS + 9-OH-RIS), and clinical response in a naturalistic sample. Plasma concentrations of RIS, 9-OH-RIS and AM in patients out of a therapeutic drug monitoring (TDM) database were compared between responders (n = 64) and non-responders (n = 526) using the Clinical Global Impressions (CGI) Scale. Daily dosage of risperidone did not differ between responders and non-responders. Differences for active moiety plasma levels between the two groups did not reach statistical significance. However, responders showed lower plasma concentrations of the parent compound RIS as well as lower metabolic ratios RIS/9-OH-RIS than non-responders (p = 0.017 and p = 0.034). These differences did not remain after controlling for age and baseline symptoms. Furthermore, the cohort was split into two subgroups based on the daily dosage: patients under high (≥6 mg/day) (R _H, n = 187) and patients under lower dosages (<6 mg) (R _L, n = 403) of risperidone. Differences between responders and non-responders after controlling for demographic and clinical characteristics remained only for plasma concentrations of active moiety in the lower-dose medicated groups; non-responders showed higher active moiety plasma concentrations than responders. Understanding the mechanisms involved and factors associated with the clinical response in patients medicated with antipsychotics is of great interest. Our data imply that clinical response to an antipsychotic treatment cannot be attributed to a single pharmacokinetic pattern. It seems to be rather a complex patchwork of influencing factors such as demographic and clinical characteristics as well as the metabolizer status as surrogate of CYP activity. It seems that the ratio between RIS and 9-OH-RIS may play a crucial role in mediating the clinical effect.

Resolution of a clinical AmpliChip CYP450 Test™ no call: discovery and characterization of novel CYP2D6*1 haplotypes

A Han Chinese patient failed CYP2D6 genotype analysis with the AmpliChip CYP450 Test™. The CYP2D6 gene locus of the patient and her son were extensively genotyped including copy number variation and gene resequencing. Two SNPs were discovered on the patient's CYP2D6*1 allele, -498C>A and 1661G>C, while the son's CYP2D6*1 allele had -498C>A only. AmpliChip failure was attributed to the presence of a CYP2D6*1 allele carrying the 1661G>C SNP. Functional analyses of -498C>A did not reveal altered activity in vitro or in vivo suggesting that both novel CYP2D6*1 subvariants are functional. The implementation of pharmacogenetics-guided drug therapy relies on accurate clinical-grade genotype analysis. Although the AmpliChip is a reliable platform, numerous allelic (sub)variants and gene arrangements are not detected or may trigger no calls. While such cases may be rare, the clinical/genetic testing community must be aware of the challenges of CYP2D6 testing on the AmpliChip platform and implications regarding accuracy of test results.

A pharmacogenetic study of risperidone on chemokine (C-C motif) ligand 2 (CCL2) in Chinese Han schizophrenia patients

Previous observations of the pathophysiological distribution and pharmacological profile of the chemokine (C-C motif) ligand 2 (CCL2) have indicated its potential role in antipsychotic drug actions. More information on the pharmacogenetics of CCL2 may therefore be useful in developing individualized therapy. However, to our knowledge, rare studies have been reported in this area. This investigation was attempted to clarify whether CCL2 polymorphism could affect risperidone efficacy. We genotyped four SNPs (rs4795893, rs1024611, rs4586 and rs2857657) distributed throughout the CCL2 gene and examined them for association using the Positive and Negative Syndrome Scale (PANSS) score in two independent cohorts of Chinese schizophrenic patients (n = 208) from two different geographic areas, following an 8-week period of risperidone monotherapy. We found that all genotyped SNPs were significantly associated with risperidone treatment (rs4795893: p = 1.66E-04, rs4586: p = 0.001, rs2857657: p = 0.004, at week 4, in ANOVA). Our results indicate that there may be some effect of variations in the CCL2 gene on therapeutic efficacy of risperidone, and the associated polymorphisms may be a potential genetic marker for predicting the therapeutic effect of risperidone.

Histaminergic system in brain disorders: lessons from the translational approach and future perspectives

Histamine and its receptors were first described as part of immune and gastrointestinal systems, but their presence in the central nervous system and importance in behavior are gaining more attention. The histaminergic system modulates different processes including wakefulness, feeding, and learning and memory consolidation. Histamine receptors (H1R, H2R, H3R, and H4R) belong to the rhodopsin-like family of G protein-coupled receptors, present constitutive activity, and are subjected to inverse agonist action. The involvement of the histaminergic system in brain disorders, such as Alzheimer's disease, schizophrenia, sleep disorders, drug dependence, and Parkinson's disease, is largely studied. Data obtained from preclinical studies point antagonists of histamine receptors as promising alternatives to treat brain disorders. Thus, clinical trials are currently ongoing to assess the effects of these drugs on humans. This review summarizes the role of histaminergic system in brain disorders, as well as the effects of different histamine antagonists on animal models and humans.