Deciphering the impact of organic loading rate and digestate recirculation on the occurrence patterns of antibiotics and antibiotic resistance genes in dry anaerobic digestion of kitchen waste.

Organic loading rate (OLR) is crucial for determining the stability of dry anaerobic digestion (AD). Digestate recirculation contributes to reactor stability and enhances methane production. Nevertheless, the understanding of how OLR and digestate recirculation affect the abundance and diversity of antibiotics and antibiotic resistance genes (ARGs), as well as the mechanisms involved in the dissemination of ARGs, remains limited. This study thoroughly investigated this critical issue through a long-term pilot-scale experiment. The metabolome analyses revealed the enrichment of various antibiotics, such as aminoglycoside, tetracycline, and macrolide, under low OLR conditions (OLR ≤ 4.0 g·VS/L·d) and the reactor instability. Antibiotics abundance decreased by approximately 19.66-31.69 % during high OLR operation (OLR ≥ 6.0 g·VS/L·d) with digestate recirculation. The metagenome analyses demonstrated that although low OLR promoted reactor stability, it facilitated the proliferation of antibiotic-resistant bacteria, such as Pseudomonas, and triggered functional profiles related to ATP generation, oxidative stress response, EPS secretion, and cell membrane permeability, thereby facilitating horizontal gene transfer (HGT) of ARGs. However, under stable operation at an OLR of 6.0 g·VS/L·d, there was a decrease in ARGs abundance but a notable increase in human pathogenic bacteria (HPB) and mobile genetic elements (MGEs). Subsequently, during reactor instability, the abundance of ARGs and HPB increased. Notably, during digestate recirculation at OLR levels of 6.0 and 7.0 g·VS/L·d, the process attenuated the risk of ARGs spread by reducing the diversity of ARGs hosts, minimizing interactions among ARGs hosts, ARGs, and MGEs, and weakening functional profiles associated with HGT of ARGs. Overall, digestate recirculation aids in reducing the abundance of antibiotics and ARGs under high OLR conditions. These findings provide advanced insights into how OLR and digestate recirculation affect the occurrence patterns of antibiotics and ARGs in dry AD.

The synergistic impact of probiotics and dietary fiber on constipation management in chlorpromazine-induced schizophrenia patients: exploring the modulation of intestinal microbiota and neurotrophic factors.

OBJECTIVE: To explore the improvement effect of probiotics combined with dietary fiber on constipation in patients with schizophrenia. METHODS: To compare the improvement scores of constipation, constipation symptoms, quality of life, neurotrophic factors-related indicators, and clinical efficacy between the two groups. RESULTS: There was no statistically significant difference in Cleveland Constipation Scoring System (CCS) scores in the control group before and after treatment (p > 0.05), while the CCS scores in the observation group decreased significantly after treatment (p < 0.05); Patient Assessment of Constipation Symptoms scores significantly decreased in the observation group compared to the control group (p < 0.05), with no significant difference in Patient Assessment of Constipation Quality of Life scores between the two groups pre- and post-treatment; Neuron-specific enolase levels decreased significantly in both groups post-treatment, while brain-derived neurotrophic factor, neuregulin-1, and nerve growth factor levels increased significantly, with a more pronounced rise in the observation group (p < 0.05). Additionally, the total effective rate of clinical treatment in the observation group was higher than that in the control group (p < 0.05). CONCLUSION: Probiotics combined with dietary fiber can improve constipation symptoms in patients with schizophrenia accompanied by constipation, effectively maintain the balance of intestinal microbiota, and improve the quality of life of patients. Additionally, levels of neurotrophic factors associated with bowel function and neurological health increased significantly, with a higher total effective rate of clinical treatment observed in the probiotics and dietary fiber group. These findings suggest the potential efficacy of probiotics and dietary fiber in managing constipation in this patient population.

Further clarification of cognitive processes of prospective memory in schizophrenia by comparing eye-tracking and ecologically-valid measurements.

The aim of this study is to compare ecologically-valid measure (the Cambridge Prospective Memory Test, CAMPROMPT) and laboratory measure (eye-tracking paradigm) in assessing prospective memory (PM) in individuals with schizophrenia spectrum disorders (SSDs). In addition, eye-tracking indices are used to examine the relationship between PM and other cognitive domains in SSDs patients. Initially, the study sample was formed by 32 SSDs patients and 32 healthy control subjects (HCs) who were matched in sociodemographic profile and the performance on CAMPROMPT. An eye-tracking paradigm was employed to examine the differences in PM accuracy and key cognitive processes (e.g., cue monitoring) between the two groups. Additional 31 patients were then recruited to investigate the relationship between PM cue monitoring, other cognitive functions, and the severity of clinical symptoms within the SSDs group. The monitoring of PM cue was reflected in total fixation time and total fixation counts for distractor words. Cognitive functions were assessed using the Chinese version of the MATRICS Consensus Cognitive Battery (MCCB). The Positive and Negative Syndrome Scale (PANSS) was applied to assess psychopathology. SSDs patients exhibited fewer total fixation counts for distractor words and lower PM accuracy compared to HCs, even though they were priori matched on CAMPROMPT. Correlation analysis within the SSDs group (63 cases) indicated a negative correlation between PM accuracy and PANSS total score, and a positive correlation with working memory and attention/vigilance. Regression analysis within the SSDs group revealed that higher visual learning and lower PANSS total scores independently predicted more total fixation counts on distractor words. Impairment in cue monitoring is a critical factor in the PM deficits in SSDs. The eye-tracking laboratory paradigm has advantages over the ecologically-valid measurement in identifying the failure of cue detection, making it a more sensitive tool for PM deficits in patients with SSDs.

The deficient cue monitoring and the facilitating effect of prosocial intention on prospective memory in patients with schizophrenia spectrum disorders.

The study aimed to investigate the cognitive processing of prospective memory (PM) in patients with schizophrenia spectrum disorders (SSDs) by using an eye-tracking paradigm. In addition, the facilitating effects of prosocial intention (the desire to help others) on PM in SSDs were also examined. In phase 1, 26 patients (group1) and 25 healthy controls (HCs) were compared in an eye-tracking PM paradigm in terms of the PM accuracy and eye-tracking indices. In phase 2, 21 more patients (group2) were recruited, and a prosocial intention was introduced in the eye-tracking PM paradigm. Their PM accuracy and eye-tracking indices were compared with those in group1. The PM cue monitoring was indicated by the total fixation counts and fixation time on distractor words. In phase 1, group1 showed lower PM accuracy, fewer fixation counts and less fixation time on distractor words than HCs. In phase 2, group2 (with prosocial intention) performed significantly better than group1 (with typical instruction) on both PM accuracy and fixation time on distractor words. In both groups of SSDs, the PM accuracy was significantly correlated with both the fixation counts and the fixation time of distractor words. After controlling for the cue monitoring indices, the difference in PM accuracy remained significant between group1 and HCs but disappeared between group1 and group2. The cue monitoring deficit contributes to the PM impairment in SSDs. The facilitating effect of prosocial intention disappears after the control of cue monitoring, also indicating its critical role in PM.

Detection of Schizophrenia Cases From Healthy Controls With Combination of Neurocognitive and Electrophysiological Features.

Background: The search for a method that utilizes biomarkers to identify patients with schizophrenia from healthy individuals has occupied researchers for decades. However, no single indicator can be employed to achieve the good in clinical practice. We aim to develop a comprehensive machine learning pipeline based on neurocognitive and electrophysiological combined features for distinguishing schizophrenia patients from healthy people. Methods: In the present study, 69 patients with schizophrenia and 50 healthy controls participated. Neurocognitive (contains seven specific domains of cognition) and electrophysiological [prepulse inhibition, electroencephalography (EEG) power spectrum, detrended fluctuation analysis, and fractal dimension (FD)] features were collected, all these features were taken together to generate the identification models of schizophrenia by applying logistics, random forest, and extreme gradient boosting algorithm. The classification capabilities of these models were also evaluated. Results: Both the neurocognitive and electrophysiological feature sets showed a good classification effect with the highest accuracy greater than 85% and AUC greater than 90%. Specifically, the performances of the combined neurocognitive and electrophysiological feature sets achieved the highest accuracy of 93.28% and AUC of 97.91%. The extreme gradient boosting algorithm as a whole presented more stably and precisely in classification efficiency. Conclusion: The highest classification accuracy of 93.28% by combination of neurocognitive and electrophysiological features shows that both measurements are appropriate indicators to be used in discriminating schizophrenia patients and healthy individuals. Also, among three algorithms, extreme gradient boosting had better classified performances than logistics and random forest algorithms.

Altered Dynamic Functional Connectivity in Early Psychosis Between the Salience Network and Visual Network.

In early psychosis there are alterations in the static functional interaction between the salience network (SN) and higher-order cognitive networks. It is unclear whether these changes extend to the dynamic functional connectivity (dFC) of the SN, and whether the dFC between the SN and low-order networks (e.g., sensory networks) is affected. This study examined the temporal properties of the functional connectivity of the SN in individuals with early psychosis. In this study, selected core regions of the SN included the left and right anterior insula (AIs) and anterior cingulate cortex (ACC), based on independent component analysis of 26 and 20 subjects with first-episode schizophrenia (FES) or at clinical high risk for psychosis (CHR), and 37 healthy controls (HC). The dFC of each region was investigated via sliding window-based analyses with whole brain voxels. We found compared with the HC, in the FES and CHR groups the bilateral AI and ACC showed less variability in dFC with regions in the visual network; the variability between the ACC and visual regions in the FES group was less than that of the CHR; and in the FES and CHR groups the variability in dFC was higher between the right AI and the left precuneus (a core region of the default mode network). This study confirmed abnormality of dynamic functional interaction between the SN and the DMN in psychosis. More importantly, the disruption of communication between the SN and the lower-order brain network is another important aspect of the neural basis of psychosis.

Effectiveness of acupuncture on anxiety disorder: a systematic review and meta-analysis of randomised controlled trials.

BACKGROUND: A number of studies have shown the positive effects of acupuncture on state anxiety. However, the efficacy of acupuncture in treating anxiety disorder remains unclear. This review and meta-analysis aimed to explore whether acupuncture has a positive effect on anxiety disorder. METHODS: Randomised controlled trials (RCTs) published in English and Chinese were found through various electronic databases, including PubMed, Scopus, the Cochrane Central Register of Controlled Trials, Embase, and the Chinese databases WanFang data, VIP Chinese Sci tech periodical database, and China National Knowledge Infrastructure. The primary outcome variable was extent of anxiety symptoms. The secondary outcomes included side effects and dropout rate. Effect sizes were pooled by random-effects modelling using Rev Man 5.3. RESULTS: Twenty RCTs were included in this systematic review and meta-analysis. All included studies were designed for patients with generalised anxiety disorder (GAD), and 18 studies were published in Chinese. Egger's test showed that the asymmetry of the funnel plot in all studies was not significant (t = - 0.34, p = 0.74). The meta-analysis of anxiety symptoms showed that acupuncture was more effective than the control condition, with a standard mean effect size of - 0.41 (95% CI - 0.50 to - 0.31; p < 0.001), and that acupuncture intervention showed good tolerance and safety in the treatment of anxiety disorder. CONCLUSION: Our findings suggest that acupuncture therapy aimed at reducing anxiety in patients with GAD has certain beneficial effects compared to controls. More RCTs with high quality should be conducted to fully understand the role of acupuncture in the treatment of various types of anxiety disorder. The protocol of this review was registered at the Prospero International Prospective Register of Systematic Reviews (Registration ID: PROSPERO 2020CRD42020148536).

Impaired Sensorimotor Gating Using the Acoustic Prepulse Inhibition Paradigm in Individuals at a Clinical High Risk for Psychosis.

Many robust studies have investigated prepulse inhibition (PPI) in patients with schizophrenia. Recent evidence indicates that PPI may help identify individuals who are at clinical high risk for psychosis (CHR). Selective attention to prepulse stimulus can specifically enhance PPI in healthy subjects; however, this enhancement effect is not observed in patients with schizophrenia. Modified PPI measurement with selective attentional modulation using perceived spatial separation (PSS) condition may be a more robust and sensitive index of PPI impairment in CHR individuals. The current study investigated an improved PSSPPI condition in CHR individuals compared with patients with first-episode schizophrenia (FES) and healthy controls (HC) and evaluated the accuracy of PPI in predicting CHR from HC. We included 53 FESs, 55 CHR individuals, and 53 HCs. CHRs were rated on the Structured Interview for Prodromal Syndromes. The measures of perceived spatial co-location PPI (PSCPPI) and PSSPPI conditions were applied using 60- and 120-ms lead intervals. Compared with HC, the CHR group had lower PSSPPI level (Inter-stimulus interval [ISI] = 60 ms, P < .001; ISI = 120 ms, P < .001). PSSPPI showed an effect size (ES) between CHR and HC (ISI = 60 ms, Cohen's d = 0.91; ISI = 120 ms, Cohen's d = 0.98); on PSSPPI using 60-ms lead interval, ES grade increased from CHR to FES. The area under the receiver operating characteristic curve for PSSPPI was greater than that for PSCPPI. CHR individuals showed a PSSPPI deficit similar to FES, with greater ES and sensitivity. PSSPPI appears a promising objective approach for preliminary identification of CHR individuals.

Altered resting-state functional connectivity of the insula in individuals with clinical high-risk and patients with first-episode schizophrenia.

OBJECTIVES: Abnormalities in insular functional connectivity have been implicated in many clinical features of schizophrenia. The aim of this study was to determine to what degree such abnormalities occur in individuals with clinical high risk for psychosis (CHR), and whether which is associated with symptom severity. METHODS: Resting-state fMRI data were collected from 47 healthy controls, 24 CHR individuals and 19 patients with first-episode schizophrenia. Using the posterior, dorsal and ventral insular subregions as separate seeds, we examined resting-state functional connectivity differences between different groups and the association between concurrent symptom severity and dysconnectivity. RESULTS: Compared with healthy controls, both CHR individuals and schizophrenia patients showed hypoconnectivity between posterior insula (PI) and somatosensory areas, and between dorsal anterior insula (dAI) and putamen. Schizophrenia patients also showed dAI and ventral anterior insula(vAI) hyperconnectivity with visual areas relative to controls and CHR individuals. Correlation analysis revealed that dAI functional connectivity with superior temporal gyrus was positively correlated with positive symptoms of CHR, and vAI connectivity with dorsolateral prefrontal cortex was negatively correlated with the severity of the symptoms of first-episode schizophrenia. CONCLUSIONS: Our findings suggest that insular functional dysconnectivity with the sensory cortex may be a system-level neural substrate preceding the onset of psychosis.

Network functional connectivity analysis in individuals at ultrahigh risk for psychosis and patients with schizophrenia.

Schizophrenia is a severe mental disorder, and the onset of which is preceded by a stage of ultrahigh risk (UHR) for developing psychosis. Therefore, analyzing individuals with UHR is essential for identifying predictive biomarkers for the onset of schizophrenia. The current study aimed to identify such biomarkers based on a voxelwise whole-brain functional degree centrality (FDC) analysis. Conjunction analysis showed that, compared with healthy controls, both UHR subjects and patients with schizophrenia showed significantly increased FDC at the medial prefrontal cortex (MPFC) and significantly decreased FDC at the right fusiform gyrus (FG). The subsequent partial correlation analysis showed significant correlations between the disorganization symptoms and FDCs at the MPFC and the right FG for both UHR subjects and patients with schizophrenia. These findings suggest that FDC within the MPFC and the right FG could be candidate biomarkers for the onset of schizophrenia.

Impact of childhood trauma on sensory gating in patients with first-episode schizophrenia.

BACKGROUND: Childhood trauma (CT) has been found to contribute to the onset of schizophrenia and auditory sensory gating deficit is a leading endophenotype for schizophrenia. However, the association between the CT and sensory gating in first-episode schizophrenia remains elusive. METHODS: Fifty-six patients and 49 age and sex-matched healthy controls were assessed using the Childhood Trauma Questionnaire-Short Form (CTQ-SF) for CT and Positive and Negative Syndrome Scale (PANSS) for symptoms severity. Sensory gating was tested using the modified paradigm, perceived spatial separation-induced prepulse inhibition (PSS-PPI), and the perceived spatial co-location PPI (PSC-PPI or classical PPI). RESULTS: Comparing with healthy controls, the patients had significantly higher score on sexual abuse (t = 2.729, p < 0.05), lower PSS- PPI, % (ISI = 120 ms and ISI = 60 ms) (t = - 3.089, - 4.196, p < 0.05). Univariate analysis revealed the absence of a significant correlation among CT, PPI paradigms and symptoms. However, multiple linear regression analyses demonstrated the CTQ-SF total was negatively associated with PSS PPI (ISI = 120 ms) (p = 0.018). CONCLUSION: The current study illustrates that the impact of CT on sensory gating in patients with first-episode schizophrenia, and thus we conclude that CT may be a risk factor to the occurrence of schizophrenia through its impact on sensory gating.

Deficits of perceived spatial separation induced prepulse inhibition in patients with schizophrenia: relationships to symptoms and neurocognition.

BACKGROUND: Prepulse inhibition (PPI) and attention were impaired, which may cause psychotic symptoms and (or) hinder the cognitive functions in schizophrenia. However, due to the measurement methods of PPI, findings about the relationship between PPI and clinical symptoms, cognitive performances have been equivocal. METHODS: Seventy-five schizophrenia patients (SZ) and 50 healthy controls (HC) were assessed in a modified acoustic PPI paradigm, named perceived spatial separation-induced PPI (PSS-PPI), compared to perceived spatial co-location PPI (PSC-PPI) with inter-stimulus interval (ISI) of 120 ms. Repeatable Battery for the Assessment of Neuropsychological Status and the Stroop Color-Word Test were administered to all subjects. RESULTS: Significant decrease in the modified PPI was found in the patients as compared to the controls, and effect sizes (Cohen'd) for patients vs. HCs % PPI levels achieved a significant level (PSC-PPI d = 0.84, PSS-PPI d = 1.27). A logistic regression model based on PSS-PPI significantly represented the diagnostic grouping (χ2= 29.3; p < 0 .001), with 85.2% area under ROC curve in predicting group membership. In addition, patients exhibited deficits in neurocognition. Among patients of "non-remission", after controlling for gender, age, education, duration, recurrence times, onset age, cigarettes per day and chlorpromazine equivalent dosage, PSS-PPI levels were associated with positive and negative symptoms, PANSS total and thought disorder (P1, P6, P7, N5, N7, G9). In multiple linear regression analyses, male and higher attention scores contributed to better PSC-PPI and PSS-PPI in controls group, while larger amount of smoke and longer word-color interfere time contributed to poor PSS-PPI. In patients' group, higher education and attention scores contributed to better PSS-PPI, while repeated relapse contributed to poor PSS-PPI. CONCLUSIONS: The acoustic perceived spatial separation-induced PPIs may bring to light the psychopathological symptoms, especially for thought disorder, and the mechanism(s) of the novel PPI paradigm was associated with attention function.