What Are the Current and Developing Treatments for Cotard’s Syndrome, Alice in Wonderland Syndrome, and Catatonic Schizophrenia?

Purpose: Cotard’s syndrome, Alice in Wonderland Syndrome, and Catatonia are all rare psychiatric disorders that have relatively little research regarding their treatments. The aim of this article is to highlight any gaps in knowledge regarding represented demographics in these treatment studies, and to discuss the current and upcoming treatment options. Background: This literature review explores under-researched psychiatric conditions: Cotard’s syndrome, Alice in Wonderland syndrome, and Catatonic Schizophrenia. Understanding psychiatric disorders requires basic knowledge of brain anatomy. These conditions are often result of or associated with neurological issues, such as migraines or tumors. The brain has eight lobes, two of four kinds: frontal, parietal, occipital, and temporal lobes, which all govern different functions and abilities. Frontal lobes control judgment, decision-making, personality traits, and fine motor movements. Parietal lobes interpret pain and temperature, occipital lobes handle visual stimuli, and temporal lobes enable hearing. The pre-frontal cortex is associated with high intelligence, psychotic traits, and psychosis. The Broca’s Area in the frontal lobes controls expressive language. These areas and divisions of the brain contribute to the complexity of the psychiatric disorders discussed in this review. Introduction: Cotard’s syndrome is a psychiatric disorder characterized by delusions of being dead or not having certain limbs or organs. It is believed that there is a disconnect between their fusiform face area and the amygdala, causing a lack of familiarity between one’s mind and body. Alice in Wonderland Syndrome (AIWS) is another psychiatric disorder which is characterized by visual hallucinations, such as distorted perceptions of color, size, distance, and speed. The most common symptoms include micropsia and macropsia. Catatonia/Catatonic Schizophrenia is an uncommon type of schizophrenia. This type of schizophrenia is characterized by motor rigidity, verbal rigidity, the flat effect, psychomotor retardation, waxy flexibility, and overall negative symptoms. Thus, these people may come off as emotionally detached, and able to stay frozen in odd positions for periods on end. Treatments and Results: Cotard’s syndrome seemed to be most effectively treated by ECT (electroconvulsive therapy). Alice in Wonderland Syndrome (AIWS) had the highest positive responses to treatment by Valproate (an anti-epileptic drug), as well as intervention to treat the associated neurological conditions they had. Catatonia/Catatonic Schizophrenia seemed to be most effectively treated with a combination of benzodiazepines and ECT. Discussion and Demographics: In all 3 disorders, the Latino and African communities were underrepresented. There also seemed to be an underrepresentation of men in Cotard’s syndrome, and of women in Alice in Wonderland Syndrome. Japan and India seemed to have the highest density of treatment studies in all 3 disorders.

Prediction of treatment response to antipsychotic drugs for precision medicine approach to schizophrenia:randomized trials and multiomics analysis

Background:Choosing the appropriate antipsychotic drug(APD)treatment for patients with schizophrenia(SCZ)can be challenging,as the treatment response to APD is highly variable and difficult to predict due to the lack of effective biomarkers.Previous studies have indicated the association between treatment response and genetic and epigenetic factors,but no effective biomarkers have been identified.Hence,further research is imperative to enhance precision medicine in SCZ treatment.Methods:Participants with SCZ were recruited from two randomized trials.The discovery cohort was recruited from the CAPOC trial(n=2307)involved 6 weeks of treatment and equally randomized the participants to the Olanzapine,Risperidone,Quetiapine,Aripiprazole,Ziprasidone,and Haloperidol/Perphenazine(subsequently equally assigned to one or the other)groups.The external validation cohort was recruited from the CAPEC trial(n=1379),which involved 8 weeks of treatment and equally randomized the participants to the Olanzapine,Risperidone,and Aripiprazole groups.Additionally,healthy controls(n=275)from the local community were utilized as a genetic/epigenetic reference.The genetic and epigenetic(DNA methylation)risks of SCZ were assessed using the polygenic risk score(PRS)and polymethylation score,respectively.The study also examined the genetic-epigenetic interactions with treatment response through differential methylation analysis,methylation quantitative trait loci,colocalization,and promoteranchored chromatin interaction.Machine learning was used to develop a prediction model for treatment response,which was evaluated for accuracy and clinical benefit using the area under curve(AUC)for classification,R^(2) for regression,and decision curve analysis.Results:Six risk genes for SCZ(LINC01795,DDHD2,SBNO1,KCNG2,SEMA7A,and RUFY1)involved in cortical morphology were identified as having a genetic-epigenetic interaction associated with treatment response.The developed and externally validated prediction model,which incorporated clinical information,PRS,genetic risk score(GRS),and proxy methylation level(proxyDNAm),demonstrated positive benefits for a wide range of patients receiving different APDs,regardless of sex[discovery cohort:AUC=0.874(95%CI 0.867-0.881),R^(2)=0.478;external validation cohort:AUC=0.851(95%CI 0.841-0.861),R^(2)=0.507].Conclusions:This study presents a promising precision medicine approach to evaluate treatment response,which has the potential to aid clinicians in making informed decisions about APD treatment for patients with SCZ.Trial registration Chinese Clinical Trial Registry(https://www.chictr.org.cn/),18 Aug 2009 retrospectively registered:CAPOC-ChiCTR-RNC-09000521(https://www.chictr.org.cn/showproj.aspx?proj=9014),CAPEC-ChiCTRRNC-09000522(https://www.chictr.org.cn/showproj.aspx?proj=9013).

MicroRNAs as potential biomarkers for diagnosis of schizophrenia and influence of antipsychotic treatment

Chara cterized by positive symptoms(such as changes in behavior or thoughts,including delusions and hallu cinations),negative symptoms(such as apathy,anhedonia,and social withdrawal),and cognitive impairments,schizophrenia is a chro nic,severe,and disabling mental disorder with late adolescence or early adulthood onset,Antipsychotics are the most commonly used drugs to treat schizophrenia,but those currently in use do not fully reverse all three types of symptoms characte rizing this condition.Schizophrenia is frequently misdiagnosed,resulting in a delay of or inappropriate treatment.Abnormal expression of microRNAs is connected to brain development and disease and could provide novel biomarkers for the diagnosis and prognosis of schizophrenia.The recent studies reviewed included microRNA profiling in blood-and urine-based materials and nervous tissue mate rials.From the studies that had validated the preliminary findings,potential candidate biomarkers for schizophrenia in adults could be miR-22-3p,-30e-5p,-92a-3p,-148b-5p,-181a-3p,-181a-5p,-181b-5p,-199 b-5p,-137 in whole blood,and miR-130b,-193a-3p in blood plasma.Antipsychotic treatment of schizophrenia patients was found to modulate the expression of certain microRNAs including miR-130b,-193a-3p,-132,-195,-30e,-432 in blood plasma.Further studies are warranted with adolescents and young adults having schizophrenia and consideration should be given to using animal models of the disorder to investigate the effect of suppressing or overexpressing specific microRNAs.

Navigating personal recovery:multinomial logistic regression analysis of schizophrenia outcomes in community-dwelling individuals

Background Schizophrenia is a chronic mental disorder affecting individuals globally,emphasising the significance of personal recovery in mental healthcare.Understanding the recovery stages and the associated factors can provide essential insights for targeted interventions.Aims This study aimed to discern the stages of personal recovery in Thai patients with schizophrenia and elucidate the associated factors with each stage.Methods A multistage sampling technique was employed,selecting 231 patients with schizophrenia from mental health outpatient departments of general and psychiatric hospitals.Data collected from March to May 2023 included screening for psychotic symptoms using the Brief Psychiatric Rating Scale and six self-report questionnaires—Stage of Recovery Scale,Beck Cognitive Insight Scale,Brief Resilience Scale,Family Support,Therapeutic Relationship-Patients Version and Social Support Questionnaire—along with personal data sheets.Pearson correlation and multinomial logistic regression were performed.Results The predominant personal recovery stage among participants was stage 3,‘living with disabilities’,comprising 42.4%of the participants.Key factors contributing to personal recovery,explaining approximately 38.4%of the variance,included resilience,family support,therapeutic alliance,hospitalisations since onset and recovery-oriented nursing service utilisation.Logit equations for stages 3 and 4 are as follows:stage 3(living with disability):logit=−4.44+0.74×resilience+0.07×therapeutic alliance+0.02×recovery-oriented nursing service utilisation;stage 4(living beyond disability):logit=−11.57-0.05×hospitalisation since onset+1.96×resilience+0.11×family support+0.06×therapeutic alliance.Conclusion The findings emphasise the significance of mental health nursing interventions.In conjunction with recovery-oriented nursing services,strengthening resilience,therapeutic alliances and family support may accelerate personal recovery and reduce hospitalisations among individuals with schizophrenia.

The burden of depression,anxiety and schizophrenia among the older population in ageing and aged countries:an analysis of the Global Burden of Disease Study 2019

Background Depression,anxiety and schizophrenia among older persons have become global public health challenges.However,the burden of these disorders in ageing and aged countries has not been analysed.Aims To investigate the burden of depression,anxiety and schizophrenia among older adults in ageing and aged countries.Methods Using data from the Global Burden of Disease Study 2019,we calculated the estimated annual percentage change(EAPC)in the age-standardised incidence rates(ASiR)and age-standardised disability-adjusted life years(DALYs)rates(ASDR)for depression,anxiety and schizophrenia of older people in ageing countries(China,India,Indonesia)and aged countries(Japan,Italy,Portugal)between 1990 and 2019.Trends in incidence and DALYs were analysed by gender and age.Results In 2019,the highest incidence of depression,anxiety and schizophrenia in the older population in aged countries was in Japan(927271.3(752552.3-1125796.5),51498.2(37625.7-70487.3)and 126.0(61.0-223.2),respectively),while the highest incidence in ageing countries was in China(5797556.9(4599403.4-7133006.5),330256.1(246448.9-445987.4)and 1067.7(556.2-1775.9),respectively).DALYs for these disorders were similar,with the highest in Japan and China.From 1990 to 2019,the ASIR for depressive disorders decreased in aged countries but increased in ageing countries;the ASIR for anxiety disorders and schizophrenia declined in both ageing and aged countries.The ASDR for depressive disorders was consistent with the ASIR but not for anxiety disorders and schizophrenia.The ASIR for depressive disorders was higher in older women,while the opposite was observed in anxiety disorders and schizophrenia.Notably,the conditions of burden of depressive disorders,anxiety disorders and schizophrenia in the 65-70-year-old age group were the most burdensome.Conclusions The incidence and DALYs of these three mental disorders increased while exhibiting differences between ageing and aged countries.Raising awareness about formulating health policies for preventing and treating mental disorders in the older population is necessary to reduce the future burden posed by the ageing challenge.

New role of platelets in schizophrenia:predicting drug response

Background Elevated platelet count(PLTc)is associated with first-episode schizophrenia and adverse outcomes in individuals with precursory psychosis.However,the impact of antipsychotic medications on PLTc and its association with symptom improvement remain unclear.Aims We aimed to investigate changes in PLTc levels following antipsychotic treatment and assess whether PLTc can predict antipsychotic responses and metabolic changes after accounting for other related variables.Methods A total of 2985 patients with schizophrenia were randomised into seven groups.Each group received one of seven antipsychotic treatments and was assessed at 2,4 and 6 weeks.Clinical symptoms were evaluated using the positive and negative syndrome scale(PANSS).Additionally,we measured blood cell counts and metabolic parameters,such as blood lipids.Repeated measures analysis of variance was used to examine the effect of antipsychotics on PLTc changes,while structural equation modelling was used to assess the predictive value of PLTc on PANSS changes.Results PLTc significantly increased in patients treated with aripiprazole(F=6.00,p=0.003),ziprasidone(F=7.10,p<0.001)and haloperidol(F=3.59,p=0.029).It exhibited a positive association with white blood cell count and metabolic indicators.Higher baseline PLTc was observed in non-responders,particularly in those defined by the PANSS-negative subscale.In the structural equation model,PLTc,white blood cell count and a latent metabolic variable predicted the rate of change in the PANSS-negative subscale scores.Moreover,higher baseline PLTc was observed in individuals with less metabolic change,although this association was no longer significant after accounting for baseline metabolic values.Conclusions Platelet parameters,specifically PLTc,are influenced by antipsychotic treatment and could potentially elevate the risk of venous thromboembolism in patients with schizophrenia.Elevated PLTc levels and associated factors may impede symptom improvement by promoting inflammation.Given PLTc’s easy measurement and clinical relevance,it warrants increased attention from psychiatrists.Trial registration number ChiCTR-TRC-10000934.

Association of serum interleukin-6 with negative symptoms in stable early-onset schizophrenia

BACKGROUND Accumulating evidence suggests that the inflammatory cytokine interleukin-6(IL-6)contributes to the pathophysiology of psychiatric disorders.However,there was no study concerning the relationship between IL-6 concentrations and clinical features in the chronic phase of early-onset schizophrenia(EOS).AIM To investigate the relationship between serum IL-6 concentration and the clinical features of EOS.METHODS We measured serum IL-6 Levels from 74 patients with chronic schizophrenia,including 33 with age at onset<21 years(EOS group)and 41 with onset≥21 years in[adult-onset schizophrenia(AOS)group],and from 41 healthy controls.Symptom severities were evaluated using the Positive and Negative Syndrome Scale(PANSS).RESULTS Serum IL-6 concentrations were higher in both EOS and AOS groups than healthy controls(F=22.32,P<0.01),but did not differ significantly between EOS and AOS groups(P>0.05)after controlling for age,body mass index,and other covariates.Negative symptom scores were higher in the EOS group than the AOS group(F=6.199,P=0.015).Serum IL-6 concentrations in the EOS group were negatively correlated with both total PANSS-negative symptom score(r=-0.389,P=0.032)and avolition/asociality subscore(r=-0.387,P=0.026).CONCLUSION Patients with EOS may have more severe negative symptoms than those with adult-onset schizophrenia during the chronic phase of the illness.IL-6 signaling may regulate negative symptoms and its avolition/asociality subsymptoms among the early-onset chronic schizophrenic patients.

Cognitive dysfunction in schizophrenia patients caused by downregulation of γ-aminobutyric acid receptor subunits

BACKGROUND The expression pattern of gamma aminobutyric acid(GABA)receptor subunits are commonly altered in patients with schizophrenia,which may lead to nerve excitation/inhibition problems,affecting cognition,emotion,and behavior.AIM To explore GABA receptor expression and its relationship with schizophrenia and to provide insights into more effective treatments.METHODS This case-control study enrolled 126 patients with schizophrenia treated at our hospital and 126 healthy volunteers who underwent physical examinations at our hospital during the same period.The expression levels of the GABA receptor subunits were detected using 1H-magnetic resonance spectroscopy.The recognized cognitive battery tool,the MATRICS Consensus Cognitive Battery,was used to evaluate the scores for various dimensions of cognitive function.The correlation between GABA receptor subunit downregulation and schizophrenia was also analyzed.RESULTS Significant differences in GABA receptor subunit levels were found between the case and control groups(P<0.05).A significant difference was also found between the case and control groups in terms of cognitive function measures,including attention/alertness and learning ability(P<0.05).Specifically,as the expression levels of GABRA1(α1 subunit gene),GABRB2(β2 subunit gene),GABRD(δsubunit),and GABRE(εsubunit)decreased,the severity of the patients’condition increased gradually,indicating a positive correlation between the downregulation of these 4 receptor subunits and schizophrenia(P<0.05).However,the expression levels of GABRA5(α5 subunit gene)and GABRA6(α6 subunit gene)showed no significant correlation with schizophrenia(P>0.05).CONCLUSION Downregulation of the GABA receptor subunits is positively correlated with schizophrenia.In other words,when GABA receptor subunits are downregulated in patients,cognitive impairment becomes more severe.

Identification of male schizophrenia patients using brain morphology based on machine learning algorithms

BACKGROUND Schizophrenia is a severe psychiatric disease,and its prevalence is higher.However,diagnosis of early-stage schizophrenia is still considered a challenging task.AIM To employ brain morphological features and machine learning method to differentiate male individuals with schizophrenia from healthy controls.METHODS The least absolute shrinkage and selection operator and t tests were applied to select important features from structural magnetic resonance images as input features for classification.Four commonly used machine learning algorithms,the general linear model,random forest(RF),k-nearest neighbors,and support vector machine algorithms,were used to develop the classification models.The performance of the classification models was evaluated according to the area under the receiver operating characteristic curve(AUC).RESULTS A total of 8 important features with significant differences between groups were considered as input features for the establishment of classification models based on the four machine learning algorithms.Compared to other machine learning algorithms,RF yielded better performance in the discrimination of male schizophrenic individuals from healthy controls,with an AUC of 0.886.CONCLUSION Our research suggests that brain morphological features can be used to improve the early diagnosis of schizophrenia in male patients.

Effect of psychological nursing interventions on effectiveness and quality of life in schizophrenia patients receiving modified electroconvulsive therapy

BACKGROUND Schizophrenia is a common and severe mental disorder characterized by severe thought disturbances,hallucinations,delusions,and emotional instability.For some patients,conventional treatment methods may not effectively alleviate symptoms,necessitating the use of alternative therapeutic approaches.Modified electroconvulsive therapy(MECT)is an effective treatment modality for schizophrenia,inducing anti-depressive and antipsychotic effects through the stimulation of brain electrical activity.AIM To explore the impact of psychological nursing intervention(PNI)before and after MECT on the efficacy and quality of life of patients with schizophrenia.METHODS Eighty patients with schizophrenia who received MECT treatment from 2021 to 2023 were randomly divided into two groups:The intervention group(n=40)and the control group(n=40).The intervention group received PNI before and after MECT,while the control group received routine nursing care.The efficacy of MECT was evaluated by the Positive and Negative Syndrome Scale(PANSS)and the Clinical Global Impression Scale(CGI)before and after the treatment.The quality of life was assessed by the Short Form 36 Health Survey(SF-36)after the treatment.RESUITS The intervention group had significantly lower scores of PANSS and CGI than the control group after the treatment(P<0.05).The intervention group also had significantly higher scores of SF-36 than the control group in all domains except physical functioning(P<0.05).CONCLUSION PNI before and after MECT can improve the efficacy and quality of life of patients with schizophrenia.It is suggested that nurses should provide individualized and comprehensive psychological care for patients undergoing MECT to enhance their recovery and well-being.

Interaction between catechol-O-methyltransferase Val/Met polymorphism and cognitive reserve for negative symptoms in schizophrenia

BACKGROUND Cognitive reserve(CR)and the catechol-O-methyltransferase(COMT)Val/Met polymorphism are reportedly linked to negative symptoms in schizophrenia.However,the regulatory effect of the COMT genotype on the relationship between CR and negative symptoms is still unexamined.AIM To investigate whether the relationship between CR and negative symptoms could be regulated by the COMT Val/Met polymorphism.METHODS In a cross-sectional study,54 clinically stable patients with schizophrenia underwent assessments for the COMT genotype,CR,and negative symptoms.CR was estimated using scores in the information and similarities subtests of a short form of the Chinese version of the Wechsler Adult Intelligence Scale.RESULTS COMT Met-carriers exhibited fewer negative symptoms than Val homozygotes.In the total sample,significant negative correlations were found between negative symptoms and information,similarities.Associations between information,similarities and negative symptoms were observed in Val homozygotes only,with information and similarities showing interaction effects with the COMT genotype in relation to negative symptoms(information,β=-0.282,95%CI:-0.552 to-0.011,P=0.042;similarities,β=-0.250,95%CI:-0.495 to-0.004,P=0.046).CONCLUSION This study provides initial evidence that the association between negative symptoms and CR is under the regulation of the COMT genotype in schizophrenia.

Computerized cognitive remediation therapy on cognitive impairment and social function in patients with chronic schizophrenia

BACKGROUND Patients with schizophrenia may have various disease manifestations,most of which gradually tend toward incurable chronic decline,leading to mental disability.The basic symptoms of the disease can impair social function,whereas long-term hospitalization produces hospitalization syndrome,causing serious damage to social function.AIM To investigate the effects of Computerized Cognitive Remediation Therapy(CCRT)on cognitive and social functioning in patients with chronic schizophrenia.METHODS A retrospective analysis of 120 patients with chronic schizophrenia in Shanghai Pudong New Area Mental Health Center was performed.They were divided into an intervention group(60 cases treated with CCRT combined with conventional medication)and a control group(60 cases treated with conventional medication).After treatment,effects on cognitive function and social roles were observed in both groups.The Positive and Negative Syndrome Scale(PANSS)was used to assess the patients'psychiatric symptoms.The Wisconsin Card Sorting Test(WCST)was used to assess the patients'cognitive functioning,and the Social Functioning Scale for Psychiatric Inpatients(SSPI)was used to assess the social functioning of the inpatient psychiatric patients.RESULTS No significant differences were observed in the PANSS,WCST,and SSPI intergroup scores before treatment(P>0.05).After 2,4,and 6 wk of therapy,general psychopathological factors,positive symptoms,negative symptoms,and total PANSS scores of PANSS in the intervention group were lower than in the control group(P<0.05).After 2,4,and 6 wk of treatment,the number of false responses,number of persistent bugs,and total responses in the WCST were significantly lower in the intervention group than in the control group(P<0.05),and the amount of completed classification was significantly higher than in the control group(P<0.05).After 2,4,and 6 wk of therapy,the SSPI scores were significantly greater than those of the controls(P<0.05).After 6 wk of treatment,the efficacy rates of the control and intervention groups were 81.67%and 91.67%,respectively.The curative effect in the intervention group was significantly higher than that in the control group(P<0.05).CONCLUSION CCRT can significantly improve cognitive function and social abilities in patients with chronic schizophrenia.

Costs of Schizophrenia at Psychiatric Hospital of Bingerville (Ivory Coast)

Schizophrenia is classified as a priority mental disorder by the World Health Organization (WHO) and accounts for around 35% of diagnoses at the Bingerville Psychiatric Hospital (HPB). The aims of the study were to identify the cost drivers for hospitalization and to calculate the costs of managing schizophrenia in hospital, with a view to planning household expenditure on care. This pilot cross-sectional study involved 31 patients with schizophrenia who had been hospitalized in the various third-category wards at the HPB between 1st January 2019 and 31st May 2020. Sampling was accidental. The methods used to estimate costs were based on the actual costs of drugs, hospitalization and additional examinations which prices were known, and on patients’ estimations for certain expenses such as food and transport. Results: The sex ratio was 3.42, the mean age was 29.52 years. The mean length of stay was 46.19 days, and the most frequent clinical forms were paranoid schizophrenia (41.9%) and schizoaffective disorder (29%). The combination of haloperidol and chlorpromazine was the most common medications for initial treatment (67.8%) and maintenance treatment (41.9%). The average cost of hospitalization at HPB for schizophrenia was XOF 164,412 (€249.90). The average direct medical cost was XOF 105,412 (€160.226) and the average direct non-medical cost was XOF 59,000 (€89.68). The average daily cost of antipsychotic treatment was XOF 795/day (€1.2084). The high cost of drugs as a proportion of hospitalization costs suggested the need of a reflection on the simplification of prescribing practices, assistance in psychiatric emergencies and the development of other alternatives to psychiatric hospitalization in Côte d’Ivoire.

Klingsor Syndrome: An Observation in a Patient with Schizophrenia

Background: Klingsor syndrome refers to genital self-mutilation in man following delusional religious beliefs. Later, Schweitzer proposed expanding the term to include all psychotic disorders, drug and alcohol abuse. Apart from the noted hemorrhagic emergency and difficult surgical operation, there is a psychosocial impact, sexual and urinary complications (stenosis, urethral fistula) which make this pathology complex. Aim: The Aim of this study is to describe the clinical case of Klingsor syndrome and evaluate its management in light of the literature. Case Presentation: We report a rare case of genital self-mutilation in a 35-year-old man, non-compliant schizophrenic, received 04 days after the trauma and whose treatment consisted of remodeling of the penis stump and follow-up by psychiatrists. Conclusion: Klingsor syndrome is a rare but serious phenomenon. Its management remains complex, but it must be early and multidisciplinary.

Single-cell multi-cohort dissection of the schizophrenia transcriptome

The complexity and heterogeneity of schizophrenia have hindered mechanistic elucidation and the development of more effective therapies.Here,we performed single-cell dissection of schizophrenia-associated transcriptomic changes in the human prefrontal cortex across 140 individuals in two independent cohorts.Excitatory neurons were the most affected cell group,with transcriptional changes converging on neurodevelopment and synapse-related molecular pathways.

Amisulpride augmentation therapy improves cognitive performance and psychopathology in clozapine‑resistant treatment‑refractory schizophrenia:a 12‑week randomized,double‑blind,placebo‑controlled trial

Background:Although clozapine is an effective option for treatment-resistant schizophrenia(TRS),there are still 1/3 to 1/2 of TRS patients who do not respond to clozapine.The main purpose of this randomized,double-blind,placebocontrolled trial was to explore the amisulpride augmentation efficacy on the psychopathological symptoms and cognitive function of clozapine-resistant treatment-refractory schizophrenia(CTRS)patients.Methods:A total of 80 patients were recruited and randomly assigned to receive initial clozapine plus amisulpride(amisulpride group)or clozapine plus placebo(placebo group).Positive and Negative Syndrome Scale(PANSS),Scale for the Assessment of Negative Symptoms(SANS),Clinical Global Impression(CGI)scale scores,Repeatable Battery for the Assessment of Neuropsychological Status(RBANS),Treatment Emergent Symptom Scale(TESS),laboratory measurements,and electrocardiograms(ECG)were performed at baseline,week 6,and week 12.Results:Compared with the placebo group,amisulpride group had a lower PANSS total score,positive subscore,and general psychopathology subscore at week 6 and week 12(PBonferroni<0.01).Furthermore,compared with the placebo group,the amisulpride group showed an improved RBANS language score at week 12(PBonferroni<0.001).Amisulpride group had a higher treatment response rate(P=0.04),lower scores of CGI severity and CGI efficacy at week 6 and week 12 than placebo group(PBonferroni<0.05).There were no differences between the groups in body mass index(BMI),corrected QT(QTc)intervals,and laboratory measurements.This study demonstrates that amisulpride augmentation therapy can safely improve the psychiatric symptoms and cognitive performance of CTRS patients.

Difference between treatment-resistant schizophrenia and clozapineresistant schizophrenia

We read the impressive review article“Clozapine resistant schizophrenia:Newer avenues of management”with great enthusiasm and appreciation.The author believes that preventing clozapine resistance from developing may be the most effective treatment strategy for patients with clozapine-resistant schizophrenia(CRS),and optimizing clozapine treatment is a key component.Disentangling the differences between treatment-resistant schizophrenia and CRS is important for studies addressing treatment strategies for these difficult-to-treat populations.

Active components of Bupleuri Radix in the treatment of schizophrenia analyzed by network pharmacology and clinical verification

Background:Bupleuri Radix is a common Chinese medicinal material in traditional Chinese medicine.Currently,the therapeutic effect of treating schizophrenia is relatively well understood.However,there are fewer studies examining the underlying mechanisms of its treatment.The objective of the study was to investigate the primary mechanisms of Bupleuri Radix in treating schizophrenia through network pharmacology and clinical validation.Method:Network pharmacology revealed possible molecular mechanisms,followed by clinical verification.Sixty-seven schizophrenia patients undergoing treatment at the Hunan Brain Hospital between October and November 2022 were recruited and randomly divided into the olanzapine group and the olanzapine+Bupleuri Radix group.Additionally,32 healthy people undergoing physical examinations during the same period were included as the control group.The patient’s positive and negative symptom scale scores were compared.qPCR was used to detect the mRNA expression levels of ESR1,mTOR,EIF4E,and SMAD4 in peripheral blood.Results:Through network pharmacological analysis,it was concluded in this study that Bupleuri Radix might regulate the mTOR,PI3K-Akt,and HIF-1 signaling pathways.Clinical experiments indicated that compared with before treatment,the positive and negative symptom scale scores and total scores of the two treatment groups were significantly decreased after treatment(P<0.01).In addition,the positive and negative symptom scale scores and total scores in the olanzapine+Bupleuri Radix group were significantly decreased(P<0.01)compared to the olanzapine group after treatment.Before treatment,ESR1 mRNA expression levels in peripheral blood were significantly higher in the two treatment groups than in the control group,whereas the mRNA expression levels of mTOR,EIF4E,and SMAD4 in peripheral blood were significantly lower(P<0.01).The mRNA expression levels of mTOR,EIF4E,and SMAD4 in peripheral blood were significantly higher after therapy than before treatment,whereas the mRNA expression levels of ESR1 in peripheral blood were significantly lower(P<0.01).After therapy,the olanzapine+Bupleuri Radix group’s mRNA expression levels of mTOR,EIF4E,and SMAD4 were significantly higher than those of the olanzapine group,whereas the mRNA expression levels of ESR1 were significantly lower(P<0.01).Conclusion:The mechanism of Bupleuri Radix’s therapeutic efficacy in schizophrenia may involve the up-regulation of mTOR,EIF4E,and SMAD4 mRNA expression and the down-regulation of ESR1 mRNA expression in peripheral blood.

A Qualitative Study on What It Means for Patients with Schizophrenia Living in the Community to Remain on Medication

Background: Little is known about what the experience of “taking antipsychotics” means in a patient’s life. Therefore, this study aims to identify what it means for patients with schizophrenia living in the community to remain on medication. Methods: The participants were five residents of communities, who had been discharged from a psychiatric hospital, but were currently visiting a private psychiatric hospital. In this study, we used participants’ narratives as data and analyzed them according to the procedures described in “An Application of Phenomenological Method in Psychology” (Giorgi, 1975), and “Practice of analyzing materials describing experiences” (Giorgi, 2004). Results: The study results are as follows. 1) The drug may be effective, but Subject (below, S) still wants to take it as little as possible. Meanwhile, S has people who care about S and a person who S can rely on nearby, to manage S’s life. The people above tell S to take medicine, and S takes it. 2) S does not know what kind of medication S is consuming, but recently S has been having a hard time walking;S has people who care for S’s foot and look after S. S thinks taking medicine is for living. 3) S feel some drugs is ineffective. However, S met some people S could trust who passionately recommended the medication to S. S started being careful in remembering to take it. 4) S does not think drugs are necessary for S, but S can interact with people and spend S’s days. S has people who accept S as S is. S continues living in the community while taking medicine that a doctor offers. 5) S was skeptical about the drugs. However, S has a person S can trust, who recommended a way to take the medication in a way that S does not feel overwhelmed. S thinks that it may be a good idea to take it. Conclusions: Based on the analysis of the narratives of each of the five participants, the essential structure was read from the perspective of a third party regarding participants’ medication adherence. A generalized reading of the structure common to the above five essential structures reveals a structure that includes the following three opportunities: 1) Patients realize the importance of people;2) They sometimes entrust themselves to people or follow people’s opinions when taking actions;3) They have come to terms with their initial negative feelings about antipsychotic drugs, subsequently continuing to take antipsychotic drugs. This suggests that the following are important attitudes of supporters of patients with schizophrenia who continue to live in the community: To accept what is happening to the patients, to talk to them with encouragement and compassion, and to be there for them. It is also important for supporters to make patients feel comfortable in opening up while the patients reside in the community and to support patients in making decisions.

Signal Conducting System with Effective Optimization Using Deep Learning for Schizophrenia Classification

Signal processing based research was adopted with Electroencephalogram(EEG)for predicting the abnormality and cerebral activities.The proposed research work is intended to provide an automatic diagnostic system to determine the EEG signal in order to classify the brain function which shows whether a person is affected with schizophrenia or not.Early detection and intervention are vital for better prognosis.However,the diagnosis of schizophrenia still depends on clinical observation to date.Without reliable biomarkers,schizophrenia is difficult to detect in its early phase and hence we have proposed this idea.In this work,the EEG signal series are divided into non-linear feature mining,classification and validation,and t-test integrated feature selection process.For this work,19-channel EEG signals are utilized from schizophrenia class and normal pattern.Here,the datasets initially execute the splitting process based on raw 19-channel EEG into 6250 sample point’s sequences.With this process,1142 features of normal and schizophrenia class patterns can be obtained.In other hand,157 features from each EEG patterns are utilized based on Non-linear feature extraction process where 14 principal features can be identified in terms of considering the essential features.At last,the Deep Learning(DL)technique incorporated with an effective optimization technique is adopted for classification process called a Deep Convolutional Neural Network(DCNN)with mayfly optimization algorithm.The proposed technique is implemented into the platform of MATLAB in order to obtain better results and is analyzed based on the performance analysis framework such as accuracy,Signal to Noise Ratio(SNR),Mean Square Error,Normalized Mean Square Error(NMSE)and Loss.Through comparison,the proposed technique is proved to a better technique than other existing techniques.