As of August 2024, (US) FDA has granted approval for a number of psychotropic drugs on market that might usher an innovative sparkle in psychopharmacotherapy. This is a recap to update busy clinicians.
As of August 2024, (US) FDA has granted approval for a number of psychotropic drugs on market that might usher an innovative sparkle in psychopharmacotherapy. This is a recap to update busy clinicians.
Chronic ketamine use leads to cognitive impairments, however, the neural mechanisms underpinning these impairments are still unclear.
Many studies showed Anterior cingulate cortex (ACC)is strongly involved in cognition and drug addiction, as supported by our previous studies. The objective of this study was to assess the variations in resting-state functional connectivity (FC) changes in the right anterior cingulate cortex (ACC) of chronic ketamine users (CKUs) and their relationship with cognitive performance.
The study enrolled 28 chronic ketamine users (CKUs) and 30 healthy controls (HCs). Resting-state functional magnetic resonance imaging (fMRI) data were gathered from both groups. Cognitive functions were evaluated using the MATRICS Consensus Cognitive Battery (MCCB).
CKUs demonstrated significantly poorer cognitive performance than HCs in various cognitive domains, including Visual Learning, Speed of Processing, Working Memory, and the composite score of MCCB. Group-level comparisons revealed that CKUs exhibited enhanced functional connectivity between the right ACC and the right postcentral gyrus (PCG) compared to HCs. There was a positive relationship between the connectivity of right ACC-PCG and reasoning and problem-solving score, but there was no significant association with the characteristics of ketamine use.
CKUs showed enhanced connectivity between the right ACC and the right PCG. This enhanced functional connectivity may indicate functional compensation for cognitive deficits in CKUs, especially for reasoning and problem-solving impairments in CKUs.
Second-generation antipsychotics (SGAs) are often prescribed for patients with schizophrenia; however, SGAs are associated with the risk of metabolic syndrome (MetS). This study aimed to investigate the clinical and biochemical determinants of SGA-related MetS.
Patients with schizophrenia, aged between 20 and 65 years, and under clozapine or olanzapine treatment for at least 9 months, were recruited from a mental hospital. Demographic, comorbidity, clinical status, laboratory, and drug regimen data were collected through chart review. Circulating levels of adiponectin, thyroid hormone responsive protein, and fatty acid binding protein 4 (FABP4) were assayed. Multiple logistic regression was used to identify risk predictors of MetS.
A total of 176 participants were enrolled, including 138 (78.4 %) clozapine users and 38 (21.6 %) olanzapine users. Forty-five (25.6 %) patients were classified as having MetS. The duration of clozapine or olanzapine usage was significantly shorter in those with MetS (p=0.026) than those without MetS. Patients with MetS had a significantly higher serum FABP4 concentration than their counterparts (22.5 ± 8.8 ng/mL vs. 15.7 ± 6.7 ng/mL, p<0.001), and also a significantly lower adiponectin level (6.9 ±4.0 mg/mL vs. 11.6 ± 6.6 mg/mL, p<0.001). A FABP4 level ≥ 16.98 ng/mL (OR: 24.16, 95 % CI: 7.47–78.09, p<0.001) was positively correlated with MetS, whereas serum adiponectin level was inversely correlated with MetS (OR: 0.7980, 95 % CI: 0.70–0.90, p<0.001).
Adiponectin, FABP4, and certain clinical covariates and comedications were highly correlated with SGA-related MetS. Further studies are required to investigate the underlying mechanisms.
This retrospective study aimed to evaluate the long-term effectiveness of switching to clozapine in the management of tardive syndromes (TS).
The treatment records of patients who had TS at the time of starting clozapine, were reviewed and demographic and clinical data was extracted on a predesigned performa.
About three-fourth (74.2 %) of the study subjects had tardive dystonias and two-third (69.7 %) had tardive dyskinesia at the time of starting clozapine. About half (48.5 %) of the patients had both tardive dystonia and dyskinesia. A small proportion (13.6 %) also had tardive akathisia at the time of starting clozapine. About three-fourth (72.2 %) of the patients had >50 % reduction, and about two-third (66.6 %) of the patients had >75 % reduction and nearly half (54.5 %) of the patients had complete resolution of dyskinesia at the last follow-up. Similar trends were seen in reduction in dystonia, i.e., >50 % reduction in 74.3 %, >75 % reduction in 62.2 % and complete resolution was seen in 56.1 %.
The present study suggest that clozapine is useful in the management of drug induced tardive dyskinesia and tardive dystonia.
Although large-scale genome-wide association studies (GWASs) have revealed the genetic architecture of schizophrenia, these studies have mainly focused on populations of European ancestry. This study aimed to identify common genetic variants associated with schizophrenia in the Korean population and evaluate the performance of polygenic risk scores (PRSs) derived from large-scale GWASs across ancestries. In the Korean psychiatric GWAS project (KPGP), seven academic institutes and their affiliated hospitals across South Korea recruited a cohort of 1670 patients with DSM-IV-defined schizophrenia and 2271 healthy controls. A total of 6690,822 SNPs were tested for association with schizophrenia. We identified one previously unreported genome-wide significant locus rs2423464 (P = 2.83 × 10−11; odds ratio = 1.65; 95 % confidence interval = 1.43–1.91, minor allele frequency = 0.126). This variant was also associated with increased lysosomal-associated membrane protein family member 5 (LAMP5) gene expression. The PRS derived from the meta-analysis results of East Asian and European GWASs explained a larger proportion of the phenotypic variance in the Korean schizophrenia sample than the PRS of an East Asian or European GWAS. (R2 = 0.073 for meta-analysis; 0.028 for East Asian GWAS; 0.037 for European GWAS). GWASs involving diverse ethnic groups will expand our understanding of the genetic architecture of schizophrenia.
The integration of artificial intelligence (AI) into the diagnosis and treatment of autism spectrum disorder (ASD) represents a promising frontier in healthcare. This review explores the current landscape and future prospects of AI technologies in ASD diagnostics and interventions. AI enables early detection and personalized assessment of ASD through the analysis of diverse data sources such as behavioural patterns, neuroimaging, genetics, and electronic health records. Machine learning algorithms exhibit high accuracy in distinguishing ASD from neurotypical development and other developmental disorders, facilitating timely interventions. Furthermore, AI-driven therapeutic interventions, including augmentative communication systems, virtual reality-based training, and robot-assisted therapies, show potential in improving social interactions and communication skills in individuals with ASD. Despite challenges such as data privacy and interpretability, the future of AI in ASD holds promise for refining diagnostic accuracy, deploying telehealth platforms, and tailoring treatment plans. By harnessing AI, clinicians can enhance ASD care delivery, empower patients, and advance our understanding of this complex condition.
Although vortioxetine demonstrates superior efficacy relative to placebo, there is still a lack of robust evidence to determine whether it offers advantages over commonly prescribed antidepressants for treating major depressive disorder (MDD). Thus, we aimed to perform a systematic review and meta-analysis comparing vortioxetine vs reuptake inhibitors in adults with MDD, analyzing two classes separately: (i) vortioxetine vs SSRIs and (ii) vortioxetine vs SNRIs.
We searched MEDLINE, Embase, and Cochrane Library databases for randomized controlled trials comparing vortioxetine with SSRIs or SNRIs in adults with a primary diagnosis of MDD following standardized diagnostic criteria. Independent examiners conducted the literature search, study selection, data extraction, and risk of bias assessment. Data were pooled in random-effects analyses. Statistical significance was considered at p<0.05.
We included 6 trials (n=478) in the vortioxetine vs SSRIs analysis and 11 (n=4230) in the vortioxetine vs SNRIs analysis. There were no significant differences between vortioxetine and SSRIs/SNRIs in the probability of response, remission, overall dropouts, and dropout due to lack of efficacy. Vortioxetine provided a significantly lower risk of dropout due to adverse events compared with SNRIs, while not significant compared with SSRIs. Vortioxetine did not differ significantly from SNRIs regarding variation in MADRS score post-treatment. In general, vortioxetine exhibited a statistically lower risk of individual adverse events compared with SNRIs, while not significant compared with SSRIs.
Our study reveals that vortioxetine is as effective as SSRIs and SNRIs for treating MDD, with safety equivalent to SSRIs and superior to SNRIs.
Maternal mental health is a global priority. Like other low-and middle-income countries, maternal mental health issues are highly prevalent in Sri Lanka. While the country claims to have achieved a satisfactory level of maternal health care indicators in the Southeast Asian region, maternal mental health care remains ignored. The COVID-19 pandemic followed by the economic crisis of 2022 has worsened the situation in the country by increasing the prevalence of maternal mental health issues and limiting the availability of and capacity of the country to allocate resources for the healthcare provision for maternal mental health issues. Integrating task-shifted, non-specialist based, mental healthcare into the existing maternal healthcare programme is considered a cost-effective approach in addressing maternal mental health. In this article, we discuss the opportunities and challenges of employing task shifting to address maternal mental health issues in Sri Lanka.
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