The promise of biological markers for treatment response in first-episode psychosis: a systematic review

Blood-Based Lipidomics Approach to Evaluate Biomarkers Associated With Response to Olanzapine, Risperidone, and Quetiapine Treatment in Schizophrenia Patients

This is the first study to identify lipidomic markers in plasma associated with response of acutely ill schizophrenia patients in response to specific antipsychotic treatments. The study population included 54 schizophrenia patients treated with antipsychotics for 6 weeks. Treatment led to significant improvement in positive and negative symptoms for 34 patients with little or no improvement for 20 patients. In addition, 37 patients showed an increase in body mass index after the 6 week treatment period, consistent with effects on metabolism and the association of such effects with symptom improvement. Profiling of plasma samples taken prior to therapy using liquid chromatography tandem mass spectrometry (LC-MS/MS) resulted in identification of 38, 10, and 52 compounds associated with the olanzapine, risperidone, and quetiapine treatment groups, which could be used to distinguish responders from non-responders. Limitations include the retroactive active nature of the study and the small sample size. Further investigations with larger sample sets could lead to the development of a molecular test that could be used to help psychiatrists determine the best treatment options for each patient.

What can we learn about brain donors? Use of clinical information in human postmortem brain research

Postmortem studies on the human brain reside at the core of investigations on neurologic and psychiatric disorders. Ground-breaking advances continue to be made on the pathologic basis of many of these disorders, at molecular, cellular, and neural connectivity levels. In parallel, there is increasing emphasis on improving methods to extract relevant demographic and clinical information about brain donors and, importantly, translate it into measures that can reliably and effectively be incorporated in the design and data analysis of postmortem human investigations. Here, we review the main source of information typically available to brain banks and provide examples on how this information can be processed. In particular, we discuss approaches to establish primary and secondary diagnoses, estimate exposure to therapeutic treatment and substance abuse, assess agonal status, and use time of death as a proxy in investigations on circadian rhythms. Although far from exhaustive, these considerations are intended as a contribution to ongoing efforts from tissue banks and investigators aimed at establishing robust, well-validated methods for collecting and standardizing information about brain donors, further strengthening the scientific rigor of human postmortem studies.

Cardiovascular Risk in Early Psychosis: Relationship with Inflammation and Clinical Features 6 Months after Diagnosis

BACKGROUND

We aimed to investigate the state of cardiovascular risk/protection factors in early psychosis patients.

METHODS

A total 119 subjects were recruited during the first year after their first episode of psychosis. Eighty-five of these subjects were followed during the next 6 months. Cardiovascular risk/protection factors were measured in plasma and co-variated by sociodemographic/clinical characteristics. Multiple linear regression models detected the change of each biological marker from baseline to follow-up in relation to clinical scales, antipsychotic medication, and pro-/antiinflammatory mediators.

RESULTS

Glycosylated hemoglobin is a state biomarker in first episode of psychosis follow-up patients and inversely correlated to the Global Assessment of Functioning scale. We found opposite alterations in the levels of VCAM-1 and E-selectin in first episode of psychosis baseline conditions compared with control that were absent in the first episode of psychosis follow-up group. Adiponectin levels decreased in a continuum in both pathological time points studied. E-Selectin plasma levels were inversely related to total antipsychotic equivalents and adiponectin levels inversely co-related to the Global Assessment of Functioning scale. Finally, adiponectin levels were directly related to antiinflammatory nuclear receptor PPARγ expression in first episode of psychosis baseline conditions and to proinflammatory nuclear factor nuclear factor κB activity in follow-up conditions, respectively.

CONCLUSIONS

Our results support the need for integrating cardiovascular healthcare very early after the first episode of psychosis.

Schizophrenia: A review of potential biomarkers

OBJECTIVES

Understanding the biological process and progression of schizophrenia is the first step to developing novel approaches and new interventions. Research on new biomarkers is extremely important when the goal is an early diagnosis (prediction) and precise theranostics. The objective of this review is to understand the research on biomarkers and their effects in schizophrenia to synthesize the role of these new advances.

METHODS

In this review, we search and review publications in databases in accordance with established limits and specific objectives. We look at particular endpoints such as the category of biomarkers, laboratory techniques and the results/conclusions of the selected publications.

RESULTS

The investigation of biomarkers and their potential as a predictor, diagnosis instrument and therapeutic orientation, requires an appropriate methodological strategy. In this review, we found different laboratory techniques to identify biomarkers and their function in schizophrenia.

CONCLUSION

The consolidation of this information will provide a large-scale application network of schizophrenia biomarkers.

Bridging Autism Spectrum Disorders and Schizophrenia through inflammation and biomarkers - pre-clinical and clinical investigations

In recent years, evidence supporting a link between inflammation and neuropsychiatric disorders has been mounting. Autism spectrum disorders (ASD) and schizophrenia share some clinical similarities which we hypothesize might reflect the same biological basis, namely, in terms of inflammation. However, the diagnosis of ASD and schizophrenia relies solely on clinical symptoms, and to date, there is no clinically useful biomarker to diagnose or monitor the course of such illnesses.

The focus of this review is the central role that inflammation plays in ASD and schizophrenia. It spans from pre-clinical animal models to clinical research and excludes in vitro studies. Four major areas are covered: (1) microglia, the inflammatory brain resident myeloid cells, (2) biomarkers, including circulating cytokines, oxidative stress markers, and microRNA players, known to influence cellular processes at brain and immune levels, (3) effect of anti-psychotics on biomarkers and other predictors of response, and (4) impact of gender on response to immune activation, biomarkers, and response to anti-psychotic treatments.

Birth by cesarean section and schizophrenia: results from the multicenter FACE-SZ data-set

Children born by cesarean section ("c-birth") are known to have different microbiota and a natural history of different disorders including allergy, asthma and overweight compared to vaginally born ("v-birth") children. C-birth is not known to increase the risk of schizophrenia (SZ), but to be associated with an earlier age at onset. To further explore possible links between c-birth and SZ, we compared clinical and biological characteristics of c-born SZ patients compared to v-born ones. Four hundred and fifty-four stable community-dwelling SZ patients (mean age = 32.4 years, 75.8 % male gender) were systematically included in the multicentre network of FondaMental Expert Center for schizophrenia. Overall, 49 patients (10.8 %) were c-born. These subjects had a mean age at schizophrenia onset of 21.9 ± 6.7 years, a mean duration of illness of 10.5 ± 8.7 years and a mean PANSS total score of 70.9 ± 18.7. None of these variables was significantly associated with c-birth. Multivariate analysis showed that c-birth remained associated with lower CRP levels (aOR = 0.07; 95 % CI 0.009-0.555, p = 0.012) and lower premorbid ability (aOR = 0.945; 95 % CI 0.898-0.994, p = 0.03). No significant association between birth by C-section and, respectively, age, age at illness onset, sex, education level, psychotic and mood symptomatology, antipsychotic treatment, tobacco consumption, birth weight and mothers suffering from schizophrenia or bipolar disorder has been found. Altogether, the present results suggest that c-birth is associated with lower premorbid intellectual functioning and lower blood CRP levels in schizophrenia. Further studies should determine the mechanisms underlying this association.

Chronic low-grade peripheral inflammation is associated with severe nicotine dependence in schizophrenia: results from the national multicentric FACE-SZ cohort

Chronic peripheral inflammation (CPI) has been associated with cognitive impairment in schizophrenia (SZ). However, its sources remain unclear, more specifically it is not known whether tobacco smoking is a source of inflammation or not in SZ subjects. Moreover, nicotine (NIC), the major psychoactive compound of tobacco, shows strong anti-inflammatory properties in vitro, as well as inducing a severe biological dependence when administered repeatedly. The objective of the present study was to determine if CPI was associated with tobacco smoking and/or NIC dependence in schizophrenia. Three hundred and forty five stabilized community-dwelling SZ subjects aged 16 years or older (mean age = 32 years, 73% male) were consecutively included in the network of the FondaMental Expert Centers for Schizophrenia and assessed with validated scales. CPI was defined by a highly sensitive C-reactive protein (hsCRP) ≥3 mg/L. Current tobacco status was self-declared. Severe NIC dependence was defined by a Fagerstrom Test for Nicotine Dependence score ≥7. Overall, 159 (46.1%) were non-smokers, 117 (33.9%) and 69 (20%) were current tobacco smokers with, respectively, low and severe nicotine dependence. In a multivariate model, CPI remained associated with severe NIC dependence (29 vs 15%, OR = 2.8, p = 0.003) and body mass index (OR = 1.1, p < 0.0001), independently of socio-demographic characteristics and antidepressant intake. No association of CPI with low to moderate tobacco smoking dependence, number of daily smoked cigarettes, cannabis use, alcohol use or illness characteristics was found (all p > 0.05). CPI was associated with severe NIC dependence but not with tobacco smoking with low to moderate NIC dependence in SZ, independently of socio-demographic variables, body mass index, alcohol consumption and antidepressant intake. This result highlights the potential CPI consequences of the high prevalence of heavy tobacco smoking in SZ, indicating the importance of new therapeutic strategies for tobacco cessation in SZ.

Theranostic Biomarkers for Schizophrenia

Schizophrenia is a highly heritable, chronic, severe, disabling neurodevelopmental brain disorder with a heterogeneous genetic and neurobiological background, which is still poorly understood. To allow better diagnostic procedures and therapeutic strategies in schizophrenia patients, use of easy accessible biomarkers is suggested. The most frequently used biomarkers in schizophrenia are those associated with the neuroimmune and neuroendocrine system, metabolism, different neurotransmitter systems and neurotrophic factors. However, there are still no validated and reliable biomarkers in clinical use for schizophrenia. This review will address potential biomarkers in schizophrenia. It will discuss biomarkers in schizophrenia and propose the use of specific blood-based panels that will include a set of markers associated with immune processes, metabolic disorders, and neuroendocrine/neurotrophin/neurotransmitter alterations. The combination of different markers, or complex multi-marker panels, might help in the discrimination of patients with different underlying pathologies and in the better classification of the more homogenous groups. Therefore, the development of the diagnostic, prognostic and theranostic biomarkers is an urgent and an unmet need in psychiatry, with the aim of improving diagnosis, therapy monitoring, prediction of treatment outcome and focus on the personal medicine approach in order to improve the quality of life in patients with schizophrenia and decrease health costs worldwide.

Inflammation, Stress Response, and Redox Dysregulation Biomarkers: Clinical Outcomes and Pharmacological Implications for Psychosis

In recent years, several studies claiming the finding of a specific biomarker for the identification of the "high-risk state" to develop psychosis, first psychotic episode, as well as the prediction of the individual response to antipsychotics have been published. Together with genetic reports, numerous publications in this field have been focused on inflammation and stress response blood biomarkers, as well as on indicators of redox dysregulation. In this review, we focus on human studies found in PubMed from January 1^st 2010 to January 31^st 2017, describing the clinical use of these biomarkers to detect the "premorbid" psychotic state and early phases of the disease. Their pharmacological implications in predicting and monitoring the individual response to antipsychotic medication is also discussed.

A Roadmap for the Development of Applied Computational Psychiatry

BACKGROUND

Computational psychiatry is a burgeoning field that utilizes mathematical approaches to investigate psychiatric disorders, derive quantitative predictions, and integrate data across multiple levels of description. Computational psychiatry has already led to many new insights into the neurobehavioral mechanisms that underlie several psychiatric disorders, but its usefulness from a clinical standpoint is only now starting to be considered.

METHODS

Examples of computational psychiatry are highlighted, and a phase-based pipeline for the development of clinical computational-psychiatry applications is proposed, similar to the phase-based pipeline used in drug development. It is proposed that each phase has unique endpoints and deliverables, which will be important milestones to move tasks, procedures, computational models, and algorithms from the laboratory to clinical practice.

RESULTS

Application of computational approaches should be tested on healthy volunteers in Phase I, transitioned to target populations in Phase IB and Phase IIA, and thoroughly evaluated using randomized clinical trials in Phase IIB and Phase III. Successful completion of these phases should be the basis of determining whether computational models are useful tools for prognosis, diagnosis, or treatment of psychiatric patients.

CONCLUSIONS

A new type of infrastructure will be necessary to implement the proposed pipeline. This infrastructure should consist of groups of investigators with diverse backgrounds collaborating to make computational psychiatry relevant for the clinic.

Chronic Peripheral Inflammation is Associated With Cognitive Impairment in Schizophrenia: Results From the Multicentric FACE-SZ Dataset

OBJECTIVES

Inflammation, measured by abnormal blood C-reactive protein (CRP) level, has been described in schizophrenia (SZ), being inconsistently related to impaired cognitive functions. The aim of the present study is to investigate cognitive impairment associated with abnormal CRP levels in a large multi-centric sample of community-dwelling SZ patients, using a comprehensive neuropsychological battery.

METHOD

Three hundred sixty-nine community-dwelling stable SZ subjects (76.2% men, mean age 32.7 y) were included and tested with a comprehensive battery of neuropsychological tests. Abnormal CRP level was defined as >3mg/L.

RESULTS

Multiple factor analysis revealed that abnormal CRP levels, found in 104 patients (28.2%), were associated with impaired General Intellectual Ability and Abstract Reasoning (aOR = 0.56, 95% CI 0.35-0.90, P = .014), independently of age, sex, education level, psychotic symptomatology, treatments, and addiction comorbidities. Abnormal CRP levels were also associated with the decline of all components of working memory (respectively effect size [ES] = 0.25, P = .033; ES = 0.27, P = .04; ES = 0.33, P = .006; and ES = 0.38, P = .004) and a wide range of other impaired cognitive functions, including memory (ES = 0.26, P = .026), learning abilities (ES = 0.28, P = .035), semantic memory (ES = 0.26, P = .026), mental flexibility (ES = 0.26, P = .044), visual attention (ES = 0.23, P = .004) and speed of processing (ES = 0.23, P = .043).

CONCLUSION

Our results suggest that abnormal CRP level is associated with cognitive impairment in SZ. Evaluating the effectiveness of neuroprotective anti-inflammatory strategies is needed in order to prevent cognitive impairment in SZ.

Concomitant NSAID use during antipsychotic treatment and risk of 2-year relapse - a population-based study of 16,253 incident patients with schizophrenia

OBJECTIVE

Clinical trials have indicated antipsychotic effects of non-steroidal anti-inflammatory drugs (NSAIDs) among incident patients with schizophrenia. We aimed to study, in a population-based setting, whether concomitant use of NSAIDs or paracetamol, changed 2-year relapse risk for schizophrenia.

METHODS

We identified all incident patients with schizophrenia in Denmark diagnosed 1996-2012 initiating antipsychotic treatment within the year after diagnosis. We calculated concomitant treatment intervals for antipsychotic and NSAID or paracetamol use. Hazard rate ratios (HRR) were estimated using Cox regression adjusted for important covariates.

MAIN OUTCOME MEASURES

2-year relapse, i.e. (re)-hospitalizations with schizophrenia.

RESULTS

Among 16,235 incident patients with schizophrenia using antipsychotics, 1480 (9.1%) used NSAIDs and 767 (4.7%) paracetamol. Concomitant use of NSAIDs was associated with an increased risk of schizophrenia relapse (HRR = 1.21; 95%-CI = 1.11-1.31), particularly associated with acetylsalicylic acid and diclofenac. Concomitant use of paracetamol was not associated with schizophrenia relapse (HRR = 0.97; 95%-CI = 0.87-1.08). Subgroup analyses showed that individuals with somatic comorbidity and NSAID use had an increased relapse-risk, except for individuals with a prior hospital diagnosis for musculoskeletal disease and NSAID use who had a decreased relapse-risk (HRR = 0.82; 95%-CI = 0.71-0.94).

CONCLUSIONS

The increased relapse risk associated with concomitant NSAID use among incident patients with schizophrenia may indicate a potential impact of underlying somatic comorbidity.

Peripheral sub-inflammation is associated with antidepressant consumption in schizophrenia. Results from the multi-center FACE-SZ data set

OBJECTIVES

The relation between C-Reactive Protein (CRP), depression and antidepressant consumption has been well explored in major depressive disorders but not in schizophrenia, which has a high rate of depression comorbidity. The objectives of this study were: (i) to determine the prevalence of abnormal CRP levels, depression and antidepressant consumption in a multicenter community-dwelling sample of subjects with schizophrenia (ii) to determine the association between abnormal CRP levels, depression and antidepressant consumption in schizophrenia.

METHOD

219 stable patients with schizophrenia (mean age=31.6 years, 75.3% male gender) were systematically included in the multicentre network of FondaMental Expert Center for schizophrenia (FACE-SZ) and assessed with a dedicated electronic medical record including the Structured Clinical Interview for DSM-IV Axis I Disorders and Calgary Depression Scale for depression. High sensitivity CRP (hs-CRP) was measured with an assay using nephelometry (Dade Behring). Abnormal CRP level was defined by levels >3mg/L. Current medication was recorded.

RESULTS

Overall, 63 subjects (28.8%) were found to have abnormal CRP levels, 43 (20.1%) received a diagnosis of comorbid current depression, and 51 (31.9%) had ongoing antidepressant treatment. In univariate analysis, abnormal CRP levels were found to be significantly associated with body mass index (BMI) (p<0.0001), hypertriglyceridemia (p=0.0015), high waist circumference (p<0.0001), metabolic syndrome (p=0.0011), abdominal obesity (p<0.0001) and with antidepressant consumption (p=0.01), while depression, psychotic symptomatology, age of onset, illness duration, sociodemographic characteristics, current tobacco or cannabis status, hypertension or high fasting glucose were not (all p>0.05). In a multivariate model, abnormal CRP was associated with antidepressant consumption independently of other confounding variables (adjusted Odds Ratio=2.8, 95% confidence interval 1.22-6.62). Metabolic syndrome was also independently associated with abnormal CRP (adjusted Odds Ratio=2.6, 95% confidence interval 1.01-6.71).

CONCLUSION

Abnormal CRP levels in schizophrenia were found to be associated with antidepressant consumption, but not with depression. The potential mechanisms were discussed. Antidepressant consumption should be systematically recorded in future studies exploring inflammation in schizophrenia. Future clinical trials of interventions directed at lowering the level of CRP and other inflammatory markers are discussed.

Anti-inflammatory drugs add-on therapy in major psychiatric disorders

Mental, neurological and substance use disorders (MNS) constitute 13% of the global disease burden, surpassing both cardiovascular diseases and cancers. Major depressive disorder (MDD) and schizophrenia are among the three most disabling MNS illnesses worldwide. The contribution of chronic inflammation to major mental disorders has received increased attention in the last decade, which revealed a host of pharmacological targets. Multiple recent reviews clearly demonstrate that schizophrenia is associated with a dysregulation of immune responses, as reflected by the observed abnormal profiles of circulating pro- and anti-inflammatory cytokines in affected patients. Moreover, some anti-inflammatory drugs have shown their effectiveness in the treatment of schizophrenia. Anti-inflammatory drugs have shown effectiveness in major psychiatric disorders, especially major depressive disorder (MDD) and schizophrenia. Four major classes of anti-inflammatory drugs have been studied to date: polyunsaturated fatty acids (PUFAs), cyclooxygenase (COX) inhibitors, anti-TNFalpha and minocycline. We discuss the positive results of PUFAs in MDD, the mixed results for COX-2 specific inhibitors and minocycline in schizophrenia, and the positive preliminary data on aspirin and n-acetyl-cysteine. Adjunctive aspirin was shown to significantly improve psychotic symptoms in schizophrenia, but only two randomized controlled trials were carried out to date. Anti-TNFalpha showed also important effectiveness in resistant MDD with blood inflammatory abnormalities, which may highlight potential biomarkers of interest. A number of anti-inflammatory drugs are available as adjunct treatment for treatment-resistant patients with MDD or schizophrenia. If used with caution, they may be reasonable therapeutic alternatives for resistant symptomatology.

A double amino-acid change in the HLA-A peptide-binding groove is associated with response to psychotropic treatment in patients with schizophrenia

The choice of an efficient psychotropic treatment for patients with schizophrenia is a key issue to improve prognosis and quality of life and to decrease the related burden and costs. As for other complex disorders, response to drugs in schizophrenia is highly heterogeneous and the underlying molecular mechanisms of this diversity are still poorly understood. In a carefully followed-up cohort of schizophrenic patients prospectively treated with risperidone or olanzapine, we used a specially designed single-nucleotide polymorphism (SNP) array to perform a large-scale genomic analysis and identify genetic variants associated with response to psychotropic drugs. We found significant associations between response to treatment defined by the reduction in psychotic symptomatology 42 days after the beginning of treatment and SNPs located in the chromosome 6, which houses the human leukocyte antigen (HLA). After imputation of the conventional HLA class I and class II alleles, as well as the amino-acid variants, we observed a striking association between a better response to treatment and a double amino-acid variant at positions 62 and 66 of the peptide-binding groove of the HLA-A molecule. These results support the current notion that schizophrenia may have immune-inflammatory underpinnings and may contribute to pave the way for personalized treatments in schizophrenia.