Advancement in utilization of magnetic resonance imaging and biomarkers in the understanding of schizophrenia

Historically,psychiatric diagnoses have been made based on patient’s reported symptoms applying the criteria from diagnostic and statistical manual of mental disorders.The utilization of neuroimaging or biomarkers to make the diagnosis and manage psychiatric disorders remains a distant goal.There have been several studies that examine brain imaging in psychiatric disorders,but more work is needed to elucidate the complexities of the human brain.In this editorial,we examine two articles by Xu et al and Stoyanov et al,that show developments in the direction of using neuroimaging to examine the brains of people with schizo-phrenia and depression.Xu et al used magnetic resonance imaging to examine the brain structure of patients with schizophrenia,in addition to examining neurotransmitter levels as biomarkers.Stoyanov et al used functional magnetic resonance imaging to look at modulation of different neural circuits by diagnostic-specific scales in patients with schizophrenia and depression.These two studies provide crucial evidence in advancing our understanding of the brain in prevalent psychiatric disorders.

Development and prospect of near-infrared spectroscopy-assisted schizophrenia diagnosis based on bibliometrics

In this editorial,we comment on the recent article by Fei et al exploring the field of near-infrared spectroscopy(NIRS)research in schizophrenia from a bibliometrics perspective.In recent years,NIRS has shown unique advantages in the auxiliary diagnosis of schizophrenia,and the introduction of bibliometrics has provided a macro perspective for research in this field.Despite the opportunities brought about by these technological developments,remaining challenges require multidi-sciplinary approach to devise a reliable and accurate diagnosis system for schizo-phrenia.Nonetheless,NIRS-assisted technology is expected to contribute to the division of methods for early intervention and treatment of schizophrenia.

Metabolic pathway modulation by olanzapine:Multitarget approach for treating violent aggression in patients with schizophrenia

BACKGROUND The use of network pharmacology and blood metabolomics to study the patho-genesis of violent aggression in patients with schizophrenia and the related drug mechanisms of action provides new directions for reducing the risk of violent aggression and optimizing treatment plans.AIM To explore the metabolic regulatory mechanism of olanzapine in treating patients with schizophrenia with a moderate to high risk of violent aggression.METHODS Metabolomic technology was used to screen differentially abundant metabolites in patients with schizophrenia with a moderate to high risk of violent aggression before and after olanzapine treatment,and the related metabolic pathways were identified.Network pharmacology was used to establish protein-protein interaction networks of the core targets of olanzapine.Gene Ontology functional analysis and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were subsequently performed.RESULTS Compared with the healthy group,the patients with schizophrenia group presented significant changes in the levels of 24 metabolites related to the disruption of 9 metabolic pathways,among which the key pathways were the alanine,aspartate and glutamate metabolism and arginine biosynthesis pathways.After treatment with olanzapine,the levels of 10 differentially abundant metabolites were significantly reversed in patients with schizophrenia.Olanzapine effectively regulated six metabolic pathways,among which the key pathways were alanine,aspartate and glutamate metabolism and arginine biosynthesis pathways.Ten core targets of olanzapine were involved in several key pathways.CONCLUSION The metabolic pathways of alanine,aspartate,and glutamate metabolism and arginine biosynthesis are the key pathways involved in olanzapine treatment for aggressive schizophrenia.

Brain-derived neurotrophic factor alterations and cognitive decline in schizophrenia:Implications for early intervention

This manuscript explores the recent study by Cui et al which assessed the interplay between inflammatory cytokines and brain-derived neurotrophic factor(BDNF)levels in first-episode schizophrenia patients.The study revealed that higher levels of interleukin-6 and tumor necrosis factor-αcorrelated with reduced BDNF levels and poorer cognitive performance.Schizophrenia is a severe psy-chiatric disorder impacting approximately 1%of the global population,charac-terized by positive symptoms(hallucinations and delusions),negative symptoms(diminished motivation and cognitive impairments)and disorganized thoughts and behaviors.Emerging research highlights the role of BDNF as a potential biomarker for early diagnosis and therapeutic targeting.The findings from Cui et al’s study suggest that targeting neuroinflammation and enhancing BDNF levels may improve cognitive outcomes.Effective treatment approaches involve a com-bination of pharmacological and non-pharmacological interventions tailored to individual patient needs.Hence,monitoring cognitive and neuroinflammatory markers is essential for improving patient outcomes and quality of life.Conse-quently,this manuscript highlights the need for an integrated approach to schizo-phrenia management,considering both clinical symptoms and underlying neuro-biological changes.

Correlation analyse between thyroid hormone levels and severity of schizophrenia symptoms

BACKGROUND The imbalance of hormone levels in the body is closely related to the occurrence and progression of schizophrenia,especially thyroid hormones.AIM To study the relationship between triiodothyronine(T3),thyroxine(T4),free T3(FT3),free T4(FT4),thyroid stimulating hormone(TSH)and schizophrenia.METHODS In this study,100 schizophrenia patients were selected from our hospital between April 2022 and April 2024.Their clinical data were analyzed retrospectively.Based on the Positive and Negative Syndrome Scale(PANSS)score,patients were divided into mild(1-3 points,n=39),moderate(4 points,n=45),and severe groups(5-7 points,n=16).Additionally,55 healthy individuals served as a control group.Venous blood samples were collected to measure T3,T4,FT3,FT4,TSH,and cortisol concentrations,analyzing their relationship with PANSS scores.RESULTS The serum levels of T3,FT3,FT4,TSH and cortisol in the schizophrenia group were lower than those in the control group(P<0.05).With the increase of the severity of the disease,the concentrations of T3 and T4 decreased,while the con-centrations of TSH and cortisol increased(P<0.05).The concentrations of TSH and cortisol were positively correlated with the PANSS score,while T3 and T4 were negatively correlated with the PANSS score(P<0.05).The receiver ope-rating characteristic curve results showed that T3,T4,TSH,and cortisol had good efficacy in the diagnosis of schizophrenia.Logistic results showed that decreased T3 level,decreased T4 level,decreased TSH level and increased cortisol level may be independent risk factors for schizophrenia.CONCLUSION Thyroid hormone levels are associated with the severity of schizophrenia symptoms,which can provide new solutions for the diagnosis and treatment of schizophrenia.

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.

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.

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.

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.

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).

Near-infrared spectroscopy in schizophrenia:A bibliometric perspective

BACKGROUND Compared with current methods used to assess schizophrenia,near-infrared spectroscopy(NIRS)has the advantages of providing noninvasive and real-time monitoring of functional activities of the brain and providing direct and objective assessment information.AIM To explore the research field of NIRS in schizophrenia from the perspective of bibliometrics.METHODS The Web of Science Core Collection was used as the search tool,and the last search date was April 21,2024.Bibliometric indicators,such as the numbers of publications and citations,were recorded.Bibliometrix and VOS viewer were used for visualization analysis.RESULTS A total of 355 articles from 105 journals were included in the analysis.The overall trend of the number of research publications increased.Schizophrenia Research was identified as an influential journal in the field.Kasai K was one of the most influential and productive authors in this area of research.The University of Tokyo and Japan had the highest scientific output for an institution and a country,respectively.The top ten keywords were“schizophrenia”,“activation”,“near-infrared spectroscopy”,“verbal fluency task”,“cortex”,“brain,performance”,“workingmemory”,“brain activation”,and“prefrontal cortex”.CONCLUSION Our study reveals the evolution of knowledge and emerging trends in the field of NIRS in schizophrenia.the research focus is shifting from underlying disease characteristics to more in-depth studies of brain function and physiological mechanisms.

Research Progress on the Association between Schizophrenia and Toxoplasma gondii Infection

Toxoplasma gondii(T.gondii or Tg),is an obligatory intracellular parasite with humans as its intermediate hosts.In recent years,significant correlations between T.gondii infection and schizophrenia have been reported,including the possible mediating mechanisms.Currently,mechanisms and hypotheses focus on central neurotransmitters,immunity,neuroinflammation,and epigenetics;however,the exact underlying mechanisms remain unclear.In this article,we review the studies related to T.gondii infection and schizophrenia,particularly the latest research progress.Research on dopamine(DA)and other neurotransmitters,the blood-brain barrier,inflammatory factors,disease heterogeneity,and other confounders is also discussed.In addition,we also summarized the results of some new epidemiological investigations.

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.

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.

Lithium carbonate-induced giant goiter and subclinical hyperthyroidism in a patient with schizophrenia:A case report and review of literature

BACKGROUND Lithium carbonate is used to manage various mood disorders,but it can cause thyroid abnormalities,including goiter,hypothyroidism,and hyperthyroidism.In rare cases,it can lead to giant goiter and subclinical hyperthyroidism,which may require surgical intervention in severe cases.CASE SUMMARY This case represents a rare development of giant goiter and subclinical hyperthyroidism in a schizophrenia patient who was subjected to prolonged lithium carbonate treatment.The enlarged thyroid gland caused pressure on the airway and recurrent laryngeal nerve,which led to respiratory distress,hoarseness,and dysphagia.The immediate danger of suffocation required urgent surgical intervention.In this report,we describe the case of a 41-year-old Chinese woman.This sheds light on the etiology and challenges associated with managing a giant goiter.The patient underwent a subtotal thyroidectomy to relieve airway compression and facilitate airway expansion.Prior to the procedure,the patient was given iodine to prepare.Concurrently,changes were made to the psychiatric medication regimen.Following surgery,the patient's respiratory function and vocal cord functionality improved significantly,and her mental state remained stable.CONCLUSION It is essential to monitor thyroid function,test thyroid antibody levels,and perform thyroid ultrasounds consistently in all patients undergoing long-term lithium carbonate treatment.This vigilance helps prevent severe and potentially life-threatening thyroid enlargement.

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.

Who can benefit more from its twelve-week treatment:A prospective cohort study of blonanserin for patients with schizophrenia

BACKGROUND Blonanserin(BNS)is a well-tolerated and effective drug for treating schizophrenia.AIM To investigate which types of patients would obtain the most benefit from BNS treatment.METHODS A total of 3306 participants were evaluated in a 12-week,prospective,multicenter,open-label post-marketing surveillance study of BNS.Brief psychiatric rating scale(BPRS)scores were calculated to evaluate the effectiveness of BNS,and its safety was assessed with the incidence of adverse drug reactions.Linear regression was used to screen the influencing factors for the reduction of BPRS total score,and logistic regression was used to identify patients with a better response to BNS.RESULTS The baseline BPRS total score(48.8±15.03)decreased to 27.7±10.08 at 12 weeks(P<0.001).Extrapyramidal symptoms(14.6%)were found to be the most frequent adverse drug reactions.The acute phase,baseline BPRS total score,current episode duration,number of previous episodes,dose of concomitant antipsychotics,and number of types of sedative-hypnotic agents were found to be independent factors affecting the reduction of BPRS total score after treatment initiation.Specifically,patients in the acute phase with baseline BPRS total score≥45,current episode duration<3 months,and≤3 previous episodes derived greater benefit from 12-week treatment with BNS.CONCLUSION Patients in the acute phase with more severe symptoms,shorter current episode duration,fewer previous episodes,and a lower psychotropic drug load derived the greatest benefit from treatment with BNS.

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.

Repetitive transcranial magnetic stimulation enhanced by neuronavigation in the treatment of depressive disorder and schizophrenia

This editorial assesses the advancements in neuronavigation enhanced repetitive transcranial magnetic stimulation for depressive disorder and schizophrenia treatment.Conventional repetitive transcranial magnetic stimulation faces challenges due to the intricacies of brain anatomy and patient variability.Neuronavigation offers innovative solutions by integrating neuroimaging with three-dimensional localization to pinpoint brain regions and refine therapeutic targeting.This systematic review of recent literature underscores the enhanced efficacy of neuronavigation in improving treatment outcomes for these disorders.This editorial highlights the pivotal role of neuronavigation in advancing psychiatric care.