Streptococcus suis Deploys Multiple ATP-Dependent Proteases for Heat Stress Adaptation.

Streptococcus suis is an important zoonotic pathogen, causing cytokine storms of Streptococcal toxic shock-like syndrome amongst humans after a wound infection into the bloodstream. To overcome the challenges of fever and leukocyte recruitment, invasive S. suis must deploy multiple stress responses forming a network and utilize proteases to degrade short-lived regulatory and misfolded proteins induced by adverse stresses, thereby adapting and evading host immune responses. In this study, we found that S. suis encodes multiple ATP-dependent proteases, including single-chain FtsH and double-subunit Clp protease complexes ClpAP, ClpBP, ClpCP, and ClpXP, which were activated as the fever of infected mice in vivo. The expression of genes ftsH, clpA/B/C, and clpP, but not clpX, were significantly upregulated in S. suis in response to heat stress, while were not changed notably under the treatments with several other stresses, including oxidative, acidic, and cold stimulation. FtsH and ClpP were required for S. suis survival within host blood under heat stress in vitro and in vivo. Deletion of ftsH or clpP attenuated the tolerance of S. suis to heat, oxidative and acidic stresses, and significantly impaired the bacterial survival within macrophages. Further analysis identified that repressor CtsR directly binds and controls the clpA/B/C and clpP operons and is relieved by heat stress. In summary, the deployments of multiple ATP-dependent proteases form a flexible heat stress response network that appears to allow S. suis to fine-tune the degradation or refolding of the misfolded proteins to maintain cellular homeostasis and optimal survival during infection.

Empirical and simulated investigation of the solid waste reverse supply chain: A complex adaptive system perspective.

Solid waste is increasing rapidly worldwide. In this study, the solid waste (household waste, construction and demolition waste and industrial waste) management systems are treated as reverse supply chain to analyze the critical operational issues based on complex adaptive system theory. At the single-layer, the complexity of the various nodes at a layer arises from rational decision-making and behavioral heterogeneity. The solid waste generation layer is employed as an example to investigate the complexity of node behavioral decisions. Regression analysis results reveal that both endogenous (Attitude, Subjective norm, and Perceived behavioral control) and exogenous factors (Economic incentive, Government supervision, Technical support) positively influence sorting behavior. The effect of Economic incentive (ß=0.327P<0.001) and Attitude (ß=0.249P<0.001) on sorting behavior are the largest. In the multi-layer system, different layers communicate with each other through the material and financial flows and have cross-layer impacts. An agent-based model is developed to investigate the multi-layer feedforward influence mechanism of changes in key layers (e.g., sorting rate, disposal rate) and the material and financial flows adaptive adjustment direction of the solid waste reverse supply chain. High rate of participation and accuracy of source sorting can shorten material flow paths and reduce storage and transportation costs. The increase in disposal rate encourages the transition of solid waste from backfill to resource utilization. This study provides a practice reference for solid waste reverse supply chain and related enterprises managers.

Eye movement characteristics in male patients with deficit and non-deficit schizophrenia and their relationships with psychiatric symptoms and cognitive function.

BACKGROUND: The cognitive impairment pattern of deficit schizophrenia (DS) is centered on an impaired attention function. Previous studies have suggested that the exploratory eye movement (EEM) tests reflect attention deficits in patients with schizophrenia. However, no study has investigated the characteristics of eye movement in DS in the Chinese Han population. This study aimed to investigate the pattern of eye movement characteristics in DS patients and to examine whether eye movement characteristic is associated with serious negative symptoms and cognitive decline in this schizophrenia subtype. METHODS: A total of 86 male patients [37 DS and 49 non-deficit schizophrenia (NDS)] and 80 healthy controls (HC) participated in this study. Clinical symptoms were assessed using the Scale for the Assessment of Positive Symptoms (SAPS) and Scale for the Assessment of Negative Symptoms (SANS). Cognitive function was assessed using the Mattis Dementia Rating Scale (MDRS-2). Eye movement data of subjects were collected using an eye movement tracking analyzer. RESULTS: There were significant differences in the overall eye movement data and cognitive test scores among the three groups (all P < 0.001). Both DS and NDS schizophrenia subgroups showed more severe eye movement and cognitive impairment compared with the control group. The number of eye fixations (NEF), total of eye scanning length (TESL), and cognitive function in DS patients were significantly lower than those in NDS patients. The discriminant analysis (D score) was higher than that of the control group (P < 0.001). In the DS group, the inattention factor of SANS was negatively correlated with the attention factor (r = - 0.545, P = 0.001) and structure factor of cognitive (r = - 0.389, P = 0.023), the affective flattening factor of SANS was negatively correlated with TESL (r = - 0.353, P = 0.041) and initiation/retention factor of cognitive (r = - 0.376,P = 0.028). TESL was found to positively correlate with the MDRS-2 total score (r = 0.427, P = 0.012), attention factor (r = 0.354, P = 0.040), and memory factor (r = 0.349, P = 0.043) in the DS group, whereas the mean of eye scanning length (MESL) positively correlated with cognitive impairments in the NDS group. The negative symptoms showed no significant correlation with cognition in the NDS group. CONCLUSIONS: Total of eye scanning length may be a characteristic eye movement symptom in DS patients, which is associated with serious negative symptoms and cognitive impairment in this schizophrenia subtype.

AEN Suppresses the Replication of Porcine Epidemic Diarrhea Virus by Inducing the Expression of Type I IFN and ISGs in MARC-145 Cells.

Apoptosis-enhancing nuclease (AEN), which shares close evolutionary relationships with the interferon-stimulated gene 20 protein (ISG20) homologs in humans, is a member of the DEDDh exonuclease family. Numerous studies on various pathogens have identified the essential roles of ISG20 in inhibiting virus replication. However, the fundamental functions of AEN during viral infection remain largely unknown. This study discovered that AEN expression was significantly upregulated in MARC-145 cells infected with Porcine epidemic diarrhea virus (PEDV) strain 85-7. In contrast, the amount of AEN protein decreased as viral replication increased. It was found that PEDV nsp1 and nsp5 mediated the decrease in AEN production, suggesting that an increase in AEN was not conducive to virus replication. By comparing AEN and its exonuclease-inactive mutant AEN-4A, we determined that the antiviral activity of AEN was independent of its exonuclease function. qPCR analyses revealed that AEN and AEN-4A could induce a significant increase in the transcription levels of IFN-α, IFN-ß, and ISGs (OASL, IFI44, IFIT2, ISG15, Mx1, Mx2), and that AEN-4A has a higher induction ability. Overexpression of AEN and AEN-4A in MARC-145 cells targeting IFN-ß knockdown or IFN-deficient Vero cells showed reduced or a complete loss of antiviral activity of both, suggesting that AEN may activate the type I IFN immune response and promote the expression of ISGs, thereby inhibiting PEDV replication. Taken together, our data prove the novel mechanism of AEN-mediated virus restriction.

Identifying risk factors to predict violent behaviour in community patients with severe mental disorders: A retrospective study of 5277 patients in China.

BACKGROUND: Patients with Severe Mental Disorders (SMD) have a higher risk of violent behaviour than the general population. The study aimed to investigate the predictive factors for the occurrence of violent behaviour in community SMD patients. METHODS: The cases and follow-up data were collected from SMD patient Information Management system in Jiangning District, Jiangsu Province. The incidence of violent behaviours was described and analyzed. Logistic regression model was used to examine the influencing factors for violent behaviours in those patients. RESULTS: Among 5277 community patients with SMD in Jiangning District, 42.4% (2236/5277) had violent behaviours. The stepwise logistic regression analysis revealed that the disease-related factors (including disease type, disease course, times of hospitalization, medication adherence, past violent behaviours), the demographic factors (age, male sex, educational level, economic and social living status), and the policy-related factors (like free treatment, annual physical check, disability certificate, family physician services, and community interviews) were significantly related to the violent behaviours in community SMD patients. After gender stratification, we found that male patients with unmarried status and with a longer course of disease were more likely to violent. However, we found that female patients with lower economic status and educational experience were more likely to violent. CONCLUSION: Our results suggest that community SMD patients had a high incidence of violent behaviour. The findings may provide valuable information for policymakers and mental health professionals worldwide taking a number of measures to reduce the incidence of violence in community SMD patients and to better maintain social security.

Host PTX3 Protein and Bacterial Capsule Coordinately Regulate the Inflammatory Response during Streptococcus suis Infection.

Streptococcus suis serotype 2 (SS2) is a noteworthy zoonotic pathogen that has been responsible for large economic losses in pig production and a great threat to human health. Pentraxin 3 (PTX3) is an essential regulator of the innate immune response to bacterial pathogens; however, its role during SS2 infection is not fully understood. In this study, we found that the SS2 strain HA9801 induced a significant inflammatory response in the mouse air pouch model; this response was amplified by the treatment of exogenous PTX3 simultaneously in terms of the results of inflammatory cell recruitment and proinflammatory cytokine IL-6 production. In addition, PTX3 facilitated the phagocytosis of macrophage Ana-1 against SS2 strain HA9801. The supplementation of exogenous PTX3 significantly reduced the bacterial loads in a dose-dependent manner in lungs, livers and bloods of SS2-infected mice compared to the samples with HA9801 infection alone; this finding indicated that PTX3 may facilitate the bacterial clearance through enhancing the host inflammatory response during SS2 infection. Both PTX3 and SS2 capsular polysaccharide (CPS2) were required for the robust inflammatory response, implying that the host PTX3 protein and SS2 surface CPS2 modulate the host innate immune response in concert. All of these results suggested that PTX3 is a potential novel biological agent for the SS2 infection; however, the recommended dose of PTX3 must be evaluated strictly to avoid inducing an excessive inflammatory response that can cause serious tissue injury and animal death.

Porcine extraintestinal pathogenic Escherichia coli delivers two serine protease autotransporters coordinately optimizing the bloodstream infection.

Extraintestinal pathogenic Escherichia coli (ExPEC) is one of the leading causes of bloodstream infections in a broad spectrum of birds and mammals, thus poses a great threat to public health, while its underlying mechanism causing sepsis is not fully understood. Here we reported a high virulent ExPEC strain PU-1, which has a robust ability to colonize within host bloodstream, while induced a low level of leukocytic activation. Two serine protease autotransporters of Enterobacteriaceae (SPATEs), VatPU-1 and TshPU-1, were found to play critical roles for the urgent blood infection of strain PU-1. Although the Vat and Tsh homologues have been identified as virulence factors of ExPEC, their contributions to bloodstream infection are still unclear. In this study, VatPU-1 and TshPU-1 were verified to interact with the hemoglobin (a well-known mucin-like glycoprotein in red blood cell), degrade the mucins of host respiratory tract, and cleave the CD43 (a major cell surface component sharing similar O-glycosylated modifications with other glycoprotein expressed on leukocytes), suggesting that these two SPATEs have the common activity to cleave a broad array of mucin-like O-glycoproteins. These cleavages significantly impaired the chemotaxis and transmigration of leukocytes, and then inhibited the activation of diverse immune responses coordinately, especially downregulated the leukocytic and inflammatory activation during bloodstream infection, thus might mediate the evasion of ExPEC from immune clearance of blood leukocytes. Taken together, these two SPATEs play critical roles to cause a heavy bacterial load within bloodstream via immunomodulation of leukocytes, which provides a more comprehensive understanding how ExPEC colonize within host bloodstream and cause severe sepsis.

Serum Metabolic Profile in Schizophrenia Patients With Antipsychotic-Induced Constipation and Its relationship With Gut Microbiome.

BACKGROUND AND HYPOTHESIS: Antipsychotics (APs), the cornerstone of schizophrenia treatment, confer a relatively high risk of constipation. However, the mechanisms underpinning AP-induced constipation are poorly understood. Thus, we hypothesized that (1) schizophrenia patients with AP-induced constipation have distinct metabolic patterns; (2) there is more than one mechanism at play in producing this adverse drug effect; and (3) AP-associated changes in the gut microbiome are related to the altered metabolic profiles. STUDY DESIGN: Eighty-eight schizophrenia patients, including 44 with constipation (C) and 44 matched patients without constipation (NC), were enrolled in this study. Constipation was diagnosed by Rome IV criteria for constipation and colonic transit time using radiopaque markers (ROMs) while severity was evaluated with the Bristol Stool Form Scale (BSS) and Constipation Assessment Scale (CAS). Fasting blood samples were drawn from all participants and were subjected to non-targeted liquid chromatography-mass spectrometry (LC-MS) metabolomic analysis. STUDY RESULTS: Eleven metabolites were significantly altered in AP-induced constipation which primarily disturbed sphingolipid metabolism, choline metabolism, and sphingolipid signaling pathway (P value < .05, FDR < 0.05). In the C group, changes in the gut bacteria showed a certain degree of correlation with 2 of the significantly altered serum metabolites and were associated with alterations in choline metabolism. CONCLUSIONS: Our findings indicated that there were disturbances in distinct metabolic pathways that were associated with AP-induced constipation. In addition, this study presents evidence of a link between alterations in the gut microbiome and host metabolism which provides additional mechanistic insights on AP-induced constipation.

Alterations in Spontaneous Brain Activity in Drug-Naïve First-Episode Schizophrenia: An Anatomical/Activation Likelihood Estimation Meta-Analysis.

OBJECTIVE: The etiology of schizophrenia is unknown and is associated with abnormal spontaneous brain activity. There are no consistent results regarding the change in spontaneous brain activity of people with schizophrenia. In this study, we determined the specific changes in the amplitude of low-frequency fluctuation/fractional amplitude of low-frequency fluctuation (ALFF/fALFF) and regional homogeneity (ReHo) in patients with drug-naïve first-episode schizophrenia (Dn-FES). METHODS: A comprehensive search of databases such as PubMed, Web of Science, and Embase was conducted to find articles on resting-state functional magnetic resonance imaging using ALFF/fALFF and ReHo in schizophrenia patients compared to healthy controls (HCs) and then, anatomical/activation likelihood estimation was performed. RESULTS: Eighteen eligible studies were included in this meta-analysis. Compared to the spontaneous brain activity of HCs, we found changes in spontaneous brain activity in Dn-FES based on these two methods, mainly including the frontal lobe, putamen, lateral globus pallidus, insula, cerebellum, and posterior cingulate cortex. CONCLUSION: We found that widespread abnormalities of spontaneous brain activity occur in the early stages of the onset of schizophrenia and may provide a reference for the early intervention of schizophrenia.

Spatial autocorrelation, influencing factors and temporal distribution of the construction and demolition waste disposal industry.

The construction and demolition waste disposal industry plays a vital role in improving the utilisation rate of construction and demolition waste worldwide, however, too little work has been devoted to the industrial economic analysis. To explore the economic pattern and promote the development of the construction and demolition waste disposal industry, the spatial autocorrelation and influencing factors were analysed, and a temporal development process was evaluated. Spatial measurement results show that the spatial autocorrelation of the construction and demolition waste disposal industry is significant at a 1% level. Per capita GDP, annual yield of construction and demolition waste, research and development level, transportation development level, human capital and education level positively affect the construction and demolition waste disposal industry. Conversely marketisation level negatively influences the development of the construction and demolition waste disposal industry. Temporal analysis results reveal that development of the construction and demolition waste disposal industry accelerated significantly in 2016 and increasing by 35.79% because of a policy stimulus. Suggestions on regional management plans and targeted policies for special cities were proposed. A novel perspective for investigating the C&D waste disposal industry was developed, which may be very helpful for researchers from other countries to study the agglomeration effect in various waste disposal industries. The findings can contribute to the development plan of the C&D waste disposal industry, and be of value to investors to make investment and site planning.

Simulation analysis of implementation effects of construction and demolition waste disposal policies.

Urban development generates large amounts of construction and demolition waste, and the enactment of various policies is an important way to increase resource efficiency. It is urgent to analyse the choices and effects of construction and demolition waste disposal policies around the world. This study analyses and compares the implementation effects of various construction and demolition waste disposal policies and provides suggestions on the selection and formulation of different disposal method policies. A BP neural network and an agent-based model are used to construct a simulation model for the implementation effects of construction and demolition waste disposal policies. The average acceptance willingness is analysed for the three disposal methods of reduction, reuse and recycling under the different policies based on questionnaire survey data. Simulation results show that the implementation effect of the incentive policy as a single policy is superior, and the comprehensive implementation effect of the guidance-incentive-mandatory policy as a combined policy is superior. The implementation effect of combined policies is better than that of single policies. The policies suitable for different disposal methods are inconsistent. Information interaction can effectively improve the implementation effects of different construction and demolition waste disposal policies, especially for single policies. This study innovatively compares the various construction and demolition waste disposal policies and explain the interaction during their implementation. The findings can help the government formulate policies at different stages of construction and demolition waste management and provide a new approach to policy simulation research.

Enriched Opportunistic Pathogens Revealed by Metagenomic Sequencing Hint Potential Linkages between Pharyngeal Microbiota and COVID-19.

As a respiratory tract virus, SARS-CoV-2 infected people through contacting with the upper respiratory tract first. Previous studies indicated that microbiota could modulate immune response against pathogen infection. In the present study, we performed metagenomic sequencing of pharyngeal swabs from eleven patients with COVID-19 and eleven Non-COVID-19 patients who had similar symptoms such as fever and cough. Through metagenomic analysis of the above two groups and a healthy group from the public data, there are 6502 species identified in the samples. Specifically, the Pielou index indicated a lower evenness of the microbiota in the COVID-19 group than that in the Non-COVID-19 group. Combined with the linear discriminant analysis (LDA) and the generalized linear model, eighty-one bacterial species were found with increased abundance in the COVID-19 group, where 51 species were enriched more than 8 folds. The top three enriched genera were Streptococcus, Prevotella and Campylobacter containing some opportunistic pathogens. More interestingly, through experiments, we found that two Streptococcus strains, S. suis and S. agalactiae, could stimulate the expression of ACE2 of Vero cells in vitro, which may promote SARS-CoV-2 infection. Therefore, these enriched pathogens in the pharynxes of COVID-19 patients may involve in the virus-host interactions to affect SARS-CoV-2 infection and cause potential secondary bacterial infections through changing the expression of the viral receptor ACE2 and/or modulate the host's immune system.

Preferential use of carbon central metabolism and anaerobic respiratory chains in porcine extraintestinal pathogenic Escherichia coli during bloodstream infection.

Porcine extraintestinal pathogenic Escherichia coli (ExPEC) is occurring with increasing frequency in China, and leads to significant economic and welfare costs in the swine industry. The underlying mechanisms of porcine ExPEC in blood colonization during systematic infection is poorly understood. Here we measured the gene expression of porcine ExPEC in infected animal bloodstream in vivo and fresh swine blood in vitro. Using comparisons with P values of ≤ 0.01, we identified 354 and 313 genes as being significantly up- or down-regulated at least 2-fold change during bloodstream infection, respectively. Excepting for an array of iron acquisition systems, numerous genes involved in carbon central metabolism and anaerobic respiratory chains were upregulated here. These genes were categorized into several clusters including the TCA-cycle (frdABCD, citCEFXG), d-ribose transporter (rbsDACB), nickel transporter (nikABCDER), NiFe hydrogenase (hybOABCDEF, hycBCDEFG), Hyp-complex (hypABCDE), DMSO reductase (dmsABC and ynfEFGHI), format dehydrogenase (fdnGHI) and NADH dehydrogenase I (nuoA-N). The mutant with simultaneous inactivation of ribose and citrate imports showed significant reduced fitness in host blood, suggesting these two carbohydrates are utilized by central metabolism network as important carbon-source during bloodstream infection. Similar deficiency was also observed in the mutant double deleted NiFe hydrogenase 2 and 3 anaerobic respiratory chains. Further study found that FNR (a global regulator facilitating bacterial adaptation to anaerobic conditions) is an important regulator in response to bloodstream to activate center metabolism and anaerobic respiratory chains, thus contribute to the full-virulence of porcine ExPEC. These findings provide compelling evidence to support the notion that carbon central metabolism network and anaerobic respiratory chains play key roles for porcine ExPEC fitness within host bloodstream.