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Background Although symptoms of depressive episodes in patients with bipolar depressive episodes (BDE) and major depressive disorder (MDD) are similar, the treatment strategies for these disorders are completely different, suggesting that BDE and MDD have different neurobiological backgrounds. In this study, we examined the relationship between brain function and clinical symptoms, particularly cognitive function, in female individuals with bipolar disorder and MDD experiencing depressive episodes. Methods Regional homogeneity (ReHo) was analyzed in 51 medication-free female patients with BDE, 63 medication-free female patients with MDD, and 45 female healthy controls (HCs). Depressive symptom severity was assessed using the 24-item Hamilton Depression Rating Scale (HAMD-24), and multidimensional cognitive function was evaluated using the MATRICS Consensus Cognition Battery. Partial correlation analysis was used to explore the links between the brain regions and clinical characteristics. A support vector machine (SVM) was used to assess the classification accuracy. Results Compared with HCs, patients with BDE and MDD had decreased ReHo in the left lobule VI of the cerebellum and increased ReHo in the left precuneus. Patients with BDE also had reduced ReHo in the left lobules IV–V of the cerebellum and increased ReHo in the right putamen, unlike patients with MDD who had no significant differences in these regions. Patients with BDE exhibited more severe cognitive deficits in processing speed, attention, word learning, and overall cognitive function than those with MDD. In patients with BDE, a significant negative correlation was found between the right putamen and HAMD-24 scores. However, no significant association was observed between abnormal ReHo levels and cognitive function. The SVM effectively differentiated between patients with BDE, MDD, and HCs. Conclusion Cognitive impairment was more severe in female patients with BDE than in those with MDD. Changes in the ReHo values of the right putamen and left lobules IV–V may serve as unique neuroimaging markers for BDE. Alterations in the ReHo values of the left precuneus and left lobule VI could serve as common pathophysiological mechanisms for BDE and MDD in women and indicate depressive states.

Background Changes in cognitive impairments and their relationship with psychopathological symptoms during treatment in schizophrenia remain debatable. Especially, there is few studies specifically focusing on female patients. Further exploration of the characteristics of female schizophrenia patients can offer valuable sex-related considerations for clinicians in diagnosis and interventions. Methods Our study involved 94 female patients with drug-naïve or drug-withdrawal schizophrenia who received antipsychotic drug for 8 weeks, along with 71 age-matched female healthy controls. The MATRICS Consensus Cognition Battery was used to assess cognition in the healthy controls at baseline and in the schizophrenia patients before and after 8 weeks of treatment. The Positive and Negative Syndrome Scale (PANSS) was employed to evaluate the psychopathological symptoms of the patients before and after 8 weeks of treatment. Results After antipsychotic treatment, 90.43% of the patients showed a reduction rate of more than 25% in their PANSS scores. Psychopathological symptoms and overall cognitive functioning improved significantly ( p  < 0.05), with the exception of verbal learning and social cognition ( p  > 0.05). Most cognitive dimensions were negatively correlated with positive symptoms, negative symptoms, and general psychopathological symptoms ( p  < 0.05, Bonferroni correction), while verbal learning and social cognition were only correlated with negative symptoms ( p  < 0.05, Bonferroni correction). Multivariate linear regression analysis revealed that improvements in positive symptoms and negative symptoms can predict the improvement in visual learning ( p  < 0.05) and overall cognitive composite scores ( p  < 0.05), improved positive symptoms can predict the improvement in the speed of processing ( p  < 0.05), reasoning and problem-solving( p  < 0.05), and improvement in negative symptoms can predict the improvement in attention/vigilance ( p  < 0.05). Conclusions Verbal learning and social cognition may serve as core independent cognitive impairments in female schizophrenia. Improvements in the overall cognitive function, along with most cognitive dimensions, appeared to be secondary to the improvement in positive and negative symptoms during the acute stages of antipsychotic treatment. Trial registration ClinicalTrials.gov Identifier: NCT03451734.

Background The heterogeneity of cognitive impairments in schizophrenia has been widely observed. However, reliable cognitive boundaries to differentiate the subgroups remain elusive. The key challenge for cognitive subtyping is applying an integrated and standardized cognitive assessment and understanding the subgroup-specific neurobiological mechanisms. The present study endeavors to explore cognitive subgroups and identify their morphological features. Methods A total of 920 schizophrenia patients and 169 healthy controls were recruited. MATRICS Consensus Cognitive Battery was applied to assess cognitive performance and recognize cognitive subgroups through latent profile and latent transition analysis. Cortical thickness and gray matter volume were employed for the morphological features across subgroups. Results Four reproducible cognitive subgroups were identified, including multidomain-intact, executive-preserved, executive-deteriorated, and multidomain-deteriorated subgroup. After 12 weeks of follow-up, the cognitive characteristics of three out of the four subgroups kept stability, except for multidomain-deteriorated subgroup in which 48.8% of patients with improved cognition transited into the executive-deteriorated subgroup. Across subgroups, significant gradient features of brain structure were exhibited in fronto-temporal regions, hippocampus, and insula. Compared to healthy controls, multidomain-intact subgroup showed the most intact cognition and morphology, and multidomain-deteriorated subgroup with youngest age showed morphological decline in extensive regions. The remaining two subgroups showed intermediate cognitive performance, but could be distinguished by executive function and morphological differences in posterior cingulate cortex. Conclusions Our study provides novel insights into the heterogeneity of cognitive impairments in schizophrenia and the morphological features from cross-sectional and longitudinal levels, which could advance our understanding of complex cognition-morphology relationships and guide personalized interventions.

Affecting around 0.5%-1% of the global population, schizophrenia is one of the severe mental disorders. A few studies have shown the functional disconnection in the default-mode network (DMN) of schizophrenia patients. However, the findings remain discrepant. In the current study, we explored the homogeneity of DMN in patients with schizophrenia and its relationships with symptom dimensions and cognition. Functional connectivity strength within the DMN, measured using resting-state functional magnetic resonance imaging, was compared between 57 first-episode drug-naive schizophrenia patients and 50 healthy controls. Network homogeneity and independent component analysis approaches were applied for statistical analysis. Our results showed that the NH values of patients were significantly higher in the left superior medial frontal gyrus and right cerebellum Crus Ⅰ and Ⅱ, while significantly lower in the right inferior temporal gyrus and bilateral posterior cingulate cortex compared to those in healthy controls. Support vector machine analysis showed that a combination of NH values in the left superior medial frontal gyrus, right cerebellum Crus Ⅰ, and right inferior temporal gyrus could distinguish schizophrenia patients from healthy subjects. Additionally, the negative correlation was observed between aberrant values of network homogeneity in the right cerebellum Crus Ⅰ and Ⅱ and PANSS global scores as well as social cognition scores in patients. We also observed negative correlations between the network homogeneity values in the left superior medial frontal gyrus and PANSS negative symptom scores, total scores, as well as values of NH in the right inferior temporal gyrus and the cognition dimensions, including speed of processing and social cognition. The results provided key data on the clinical features and brain images in schizophrenia, and further emphasized the vital role of DMN in the neuropathological mechanisms underlying schizophrenia.

The proliferation of pharmaceuticals in the aqueous environment has adversely impact on human health and ecosystem balance. Pharmaceutical contaminations are difficult to remove effectively by conventional treatment technologies. In order to degrade carbamazepine (CBZ) efficiently, a common antiepileptic drug, three plasma discharge modes were studied, including liquid-phase discharge, air gas-liquid jet and dielectric barrier discharge. It is noteworthy that the degradation efficiency and energy yield reached to highest levels (0.11 g/kWh) when operating at 225 W input power under liquid phase discharge, compared with the other discharge modes. The parameters of concentration, electrode distance, volume, input power and frequency of the discharge were also evaluated and optimized. Plasma emission spectroscopy revealed the degradation process is mainly attributed to reactive oxygen species (ROS), while the role of reactive nitrogen species was not significant. The contributions of diverse ROS were assessed by radical quenching experiments, including p-benzoquinone, p-phthalic acid and tert-butanol. The possible degradation intermediates and pathways of CBZ were tested and analyzed by liquid chromatography-mass spectrometry (LC-MS). Comprehensively consideration of cleanliness, degradation efficiency and application difficulty, liquid-phase discharge treatment is a promising technology for water treatment.

Cognitive subtypes of schizophrenia may exhibit different neurobiological characteristics. This study aimed to reveal the underlying neurobiological features between cognitive subtypes in the early course of schizophrenia (ECS). According to prior studies, we hypothesized to identify 2-4 distinct cognitive subtypes. We further hypothesized that the subtype with relatively poorer cognitive function might have lower brain spontaneous neural activity than the subtype with relatively better cognitive function.BackgroundCognitive subtypes of schizophrenia may exhibit different neurobiological characteristics. This study aimed to reveal the underlying neurobiological features between cognitive subtypes in the early course of schizophrenia (ECS). According to prior studies, we hypothesized to identify 2-4 distinct cognitive subtypes. We further hypothesized that the subtype with relatively poorer cognitive function might have lower brain spontaneous neural activity than the subtype with relatively better cognitive function.Cognitive function was assessed by the MATRICS Consensus Cognitive Battery (MCCB). Resting-state functional magnetic resonance imaging scanning was conducted for each individual. There were 155 ECS individuals and 97 healthy controls (HCs) included in the subsequent analysis. Latent profile analysis (LPA) was used to identify the cognitive subtypes in ECS individuals, and amplitude of low-frequency fluctuations (ALFFs) was used to measure brain spontaneous neural activity in ECS individuals and HCs.MethodCognitive function was assessed by the MATRICS Consensus Cognitive Battery (MCCB). Resting-state functional magnetic resonance imaging scanning was conducted for each individual. There were 155 ECS individuals and 97 healthy controls (HCs) included in the subsequent analysis. Latent profile analysis (LPA) was used to identify the cognitive subtypes in ECS individuals, and amplitude of low-frequency fluctuations (ALFFs) was used to measure brain spontaneous neural activity in ECS individuals and HCs.LPA identified two cognitive subtypes in ECS individuals, containing a severely impaired subtype (SI, n = 63) and a moderately impaired subtype (MI, n = 92). Compared to HCs, ECS individuals exhibited significantly increased ALFF in the left caudate and bilateral thalamus and decreased ALFF in the bilateral medial prefrontal cortex and bilateral posterior cingulate cortex/precuneus (PCC/PCu). In ECS cognitive subtypes, SI showed significantly higher ALFF in the left precentral gyrus (PreCG) and lower ALFF in the left PCC/PCu than MI. Furthermore, ALFFs of left PreCG were negatively correlated with several MCCB cognitive domains in ECS individuals, while ALFF of left PCC/PCu presented opposite correlations.ResultsLPA identified two cognitive subtypes in ECS individuals, containing a severely impaired subtype (SI, n = 63) and a moderately impaired subtype (MI, n = 92). Compared to HCs, ECS individuals exhibited significantly increased ALFF in the left caudate and bilateral thalamus and decreased ALFF in the bilateral medial prefrontal cortex and bilateral posterior cingulate cortex/precuneus (PCC/PCu). In ECS cognitive subtypes, SI showed significantly higher ALFF in the left precentral gyrus (PreCG) and lower ALFF in the left PCC/PCu than MI. Furthermore, ALFFs of left PreCG were negatively correlated with several MCCB cognitive domains in ECS individuals, while ALFF of left PCC/PCu presented opposite correlations.Our findings suggest that differences in the brain spontaneous neural activity of PreCG and PCC/PCu might be the potential neurobiological features of the cognitive subtypes in ECS, which may deepen our understanding of the role of PreCG and PCC/PCu in the pathogenesis of cognitive impairment in schizophrenia.ConclusionOur findings suggest that differences in the brain spontaneous neural activity of PreCG and PCC/PCu might be the potential neurobiological features of the cognitive subtypes in ECS, which may deepen our understanding of the role of PreCG and PCC/PCu in the pathogenesis of cognitive impairment in schizophrenia.

Respective abnormal structural connectivity (SC) and functional connectivity (FC) have been reported in individuals with schizophrenia. However, transmodal associations between SC and FC following antipsychotic treatment, especially in female schizophrenia, remain unclear. We hypothesized that increased SC-FC coupling may be found in female schizophrenia, and could be normalized after antipsychotic treatment. Sixty-four female drug-naïve patients with first-diagnosed schizophrenia treated with antipsychotic drugs for 8 weeks, and 55 female healthy controls (HCs) were enrolled. Magnetic resonance imaging (MRI) data were collected from HCs at baseline and from patients at baseline and after treatment. SC and FC were analyzed by network-based statistics, calculating nonzero SC-FC coupling of the whole brain and altered connectivity following treatment. Finally, an Elastic-net logistic regression analysis was employed to establish a predictive model for evaluating the clinical efficacy treatment. At baseline, female schizophrenia patients exhibited abnormal SC in cortico-cortical, frontal-limbic, frontal-striatal, limbic-striatal, and limbic-cerebellar connectivity compared to HCs, while FC showed no abnormalities. Following treatment, cortico-cortical, frontal-limbic, frontal-striatal, limbic-striatal, temporal-cerebellar, and limbic-cerebellar connectivity were altered in both SC and FC. Additionally, SC-FC coupling of altered connectivity was higher in patients at baseline than in HC, trending toward normalization after treatment. Furthermore, identified FC or/and SC predicted changes in psychopathological symptoms and cognitive impairment among female schizophrenia following treatment. SC-FC coupling may be a potential predictive biomarker of treatment response. Cortico-cortical, frontal-limbic, frontal-striatal, limbic-striatal, temporal-cerebellar, and limbic-cerebellar could represent major targets for antipsychotic drugs in female schizophrenia.

Acute and transient psychotic disorder (ATPD), a psychosis frequently diagnosed, can potentially evolve into chronic conditions like schizophrenia (SCZ) and other mental disorders. This study aimed to develop a predictive model based on clinical data to forecast the transition from ATPD to SCZ and to identify the predictive factors. According to the diagnostic criteria issued by the International Statistical Classification of Diseases and Related Health Problems 10th Revision (ICD-10), 396 inpatients diagnosed with ATPD were collected in this study. The Cox proportional-hazards regression model was performed using demographic data, clinical characteristics, and inflammatory markers to identify independent predictors for subsequent diagnostic transition (SDT) to SCZ. During the follow-up period, 43.69% (n = 173) of ATPD patients had their diagnoses revised to SCZ. The multivariate Cox regression analysis identified post-treatment monocyte count, post-treatment monocyte/lymphocyte ratio (MLR), and the presence of schizophreniform symptoms as significant predictors for the diagnostic revision. Time-dependent receiver operating characteristic (TimeROC) analyses were developed. The AUC value at the 5-year follow-up was 0.728 for combined predictors, 0.702 for post-treatment monocyte count, 0.764 for post-treatment MLR, and 0.535 for the presence of schizophreniform symptoms. The combined predictors had good predictive ability for the diagnostic transition from acute and transient psychotic disorder to schizophrenia.

An efficient adsorbent for the treatment of Cr(VI) was simply fabricated by combining graphene oxide with MoS 2 nanosheets via in situ hydrothermal process with CTAB as the surfactant. The experimental results indicated that the agglomeration of the MoS 2 nanosheets are reduced and uniformly grown on the graphene sheet during the in situ hydrothermal process, and the introduction of graphene oxide provided higher specific surface area and abundant oxygenic groups. Based on this, the removal efficiency of Cr(VI) onto MoS 2 /rGO was 75.9% at pH 2.0, which was higher than that of bulk MoS 2 (61.0%). On account of Sips adsorption isotherm model, the highest uptake capacity of MoS 2 /rGO toward Cr(VI) reached 80.8 mg g −1 . The adsorption kinetic consequences showed that the chemisorption process was the control step, and the removal mechanism for Cr(VI) is redox and adsorption; in this way, the adsorbed Cr(VI) was partially reduced to Cr(III). Furthermore, this as-prepared adsorbent also presented satisfying reusability for removal of Cr(VI) and can be used for the selective removal of Cr(VI) in the presence of NO 3 − . In short, it may provide a potential route to enhance the adsorption property of MoS 2 toward heavy metals through incorporating with GO, which would expand the applications of MoS 2 in the field of treatment of the heavy metal wastewater.

The increasing accumulation of plastic debris in aquatic environments has raised concerns about the ecotoxicological effects of polystyrene nanoplastics (PSNPs). This study examined PSNPs toxicity during a critical developmental stage by exposing 15 days post-fertilization (dpf) larvae of blotched snakehead (Channa maculata), an economically important freshwater fish, to PSNPs concentrations of 0.05–20 mg/L for 15 days. Histopathological analysis showed concentration-dependent damage, including hepatocellular vacuolization (5–10 mg/L) and hepatic sinusoidal dilation (20 mg/L) in the liver, alongside intestinal injuries ranging from villus erosion to rupture (5–20 mg/L). Biochemically, PSNPs triggered a biphasic oxidative response, where superoxide dismutase (SOD) and catalase (CAT) activities peaked at 5 mg/L before declining, while malondialdehyde (MDA) levels exhibited an opposite trend. Transcriptomic analysis and Quantitative real-time PCR (qRT-PCR) indicated that PSNPs disrupted growth, energy metabolism, and immune regulation in C. maculata larvae, evidenced by the dysregulation of growth hormone/insulin-like growth factor (GH/IGF) axis genes and up-regulation of immune-related genes. Furthermore, Weighted Gene Co-expression Network Analysis (WGCNA) identified the heterogeneous nuclear ribonucleoproteins (HNRNP) gene family as hub genes from the key turquoise module, suggesting that PSNPs interfere with RNA processing and post-transcriptional control. In summary, PSNPs caused multi-level toxicity in C. maculata larvae, providing new insights into their ecotoxicological hazards in freshwater ecosystems.