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Abstract Background Recently studies had showed that the amygdala may take part in the cognitive impairment in schizophrenia (SC). However, the mechanism is still unclear, so we explored the relationship between the amygdala resting state magnetic resonance imaging (rsMRI) signal and cognitive function, to provide a reference for the follow-up study. Methods We collected 59 drug-naïve SCs and 46 healthy controls (HCs) from the Third People’s Hospital of Foshan. The rsMRI technique and automatic segmentation tool were used to extract the volume and functional indicators of the SC’s amygdala. The Positive and Negative Syndrome Scale (PANSS) was used to assess the severity of the disease, and the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) was used to assess cognitive function. Pearson correlation analysis was used to compare the relationship between the structural and functional indicators of the amygdala and PANSS and RBANS. Results (1) There was no significant difference between SC and HC in age, gender and years of education. Compared with HC, the PANSS score of SC increased and the RBANS score decreased significantly. Meanwhile, the left amygdala volume decreased (t=-3.675, p

Abstract Background Acute kidney injury (AKI) is a common and severe complication of cardiac surgery with cardiopulmonary bypass (CPB). This study aimed to establish a model to predict the probability of postoperative AKI in patients undergoing cardiac surgery with CPB. Methods We conducted a retrospective, multicenter study to analyze 1082 patients undergoing cardiac surgery under CPB. The least absolute shrinkage and selection operator regression model was used to optimize feature selection for the AKI model. Multivariable logistic regression analysis was applied to build a prediction model incorporating the feature selected in the previously mentioned model. Finally, we used multiple methods to evaluate the accuracy and clinical applicability of the model. Results Age, gender, hypertension, CPB duration, intraoperative 5% bicarbonate solution and red blood cell transfusion, urine volume were identified as important factors. Then, these risk factors were created into nomogram to predict the incidence of AKI after cardiac surgery under CPB. Conclusion We developed a nomogram to predict the incidence of AKI after cardiac surgery. This model can be used as a reference tool for evaluating early medical intervention to prevent postoperative AKI.

ObjectivePrevious studies have established significant differences in the neuroimaging characteristics between healthy controls (HCs) and patients with schizophrenia (SCZ). However, the relationship between homotopic connectivity and clinical features in patients with SCZ is not yet fully understood. Furthermore, there are currently no established neuroimaging biomarkers available for the diagnosis of SCZ or for predicting early treatment response. The aim of this study is to investigate the association between regional homogeneity and specific clinical features in SCZ patients.MethodsWe conducted a longitudinal investigation involving 56 patients with SCZ and 51 HCs. The SCZ patients underwent a 3-month antipsychotic treatment. Resting-state functional magnetic resonance imaging (fMRI), regional homogeneity (ReHo), support vector machine (SVM), and support vector regression (SVR) were used for data acquisition and analysis.ResultsIn comparison to HCs, individuals with SCZ demonstrated reduced ReHo values in the right postcentral/precentral gyrus, left postcentral/inferior parietal gyrus, left middle/inferior occipital gyrus, and right middle temporal/inferior occipital gyrus, and increased ReHo values in the right putamen. It is noteworthy that there was decreased ReHo values in the right inferior parietal gyrus after treatment compared to baseline data.ConclusionThe observed decrease in ReHo values in the sensorimotor network and increase in ReHo values in the right putamen may represent distinctive neurobiological characteristics of patients with SCZ, as well as a potential neuroimaging biomarker for distinguishing between patients with SCZ and HCs. Furthermore, ReHo values in the sensorimotor network and right putamen may serve as predictive indicators for early treatment response in patients with SCZ.

Depression is a common mental disorder that seriously affects patients’ social function and daily life. Its accurate diagnosis remains a big challenge in depression treatment. In this study, we used electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) and measured the whole brain EEG signals and forehead hemodynamic signals from 25 depression patients and 30 healthy subjects during the resting state. On one hand, we explored the EEG brain functional network properties, and found that the clustering coefficient and local efficiency of the delta and theta bands in patients were significantly higher than those in normal subjects. On the other hand, we extracted brain network properties, asymmetry, and brain oxygen entropy as alternative features, used a data-driven automated method to select features, and established a support vector machine model for automatic depression classification. The results showed the classification accuracy was 81.8% when using EEG features alone and increased to 92.7% when using hybrid EEG and fNIRS features. The brain network local efficiency in the delta band, hemispheric asymmetry in the theta band and brain oxygen sample entropy features differed significantly between the two groups (p

ObjectivePrior researches have identified distinct differences in neuroimaging characteristics between healthy controls (HCs) and patients with major depressive disorder (MDD). However, the correlations between homotopic connectivity and clinical characteristics in patients with MDD have yet to be fully understood. The present study aimed to investigate common and unique patterns of homotopic connectivity and their relationships with clinical characteristics in patients with MDD.MethodsWe recruited 42 patients diagnosed with MDD and 42 HCs. We collected a range of clinical variables, as well as exploratory eye movement (EEM), event-related potentials (ERPs) and resting-state functional magnetic resonance imaging (rs-fMRI) data. The data were analyzed using correlation analysis, support vector machine (SVM), and voxel-mirrored homotopic connectivity (VMHC).ResultsCompared with HCs, patients with MDD showed decreased VMHC in the insula, and increased VMHC in the cerebellum 8/vermis 8/vermis 9 and superior/middle occipital gyrus. SVM analysis using VMHC values in the cerebellum 8/vermis 8/vermis 9 and insula, or VMHC values in the superior/middle occipital gyrus and insula as inputs can distinguish HCs and patients with MDD with high accuracy, sensitivity, and specificity.ConclusionThe study demonstrated that decreased VMHC in the insula and increased VMHC values in the sensory-motor networks may be a distinctive neurobiological feature for patients with MDD, which could potentially serve as imaging markers to discriminate HCs and patients with MDD.

BackgroundSepsis is organ dysfunction due to the host’s deleterious response to infection, and the kidneys are one of the organs damaged in common sepsis. Sepsis-associated acute kidney injury (SA-AKI) increases the mortality in patients with sepsis. Although a substantial volume of research has improved the prevention and treatment of the disease, SA-SKI is still a significant clinical concern.PurposeAimed to use weighted gene co-expression network analysis (WGCNA) and immunoinfiltration analysis to study SA-AKI-related diagnostic markers and potential therapeutic targets.MethodsImmunoinfiltration analysis was performed on SA-AKI expression datasets from the Gene Expression Synthesis (GEO) database. A weighted gene co-expression network analysis (WGCNA) analysis was performed on immune invasion scores as trait data, and modules associated with immune cells of interest were identified as hub modules. Screening hub geneset in the hub module using protein-protein interaction (PPI) network analysis. The hub gene was identified as a target by intersecting with significantly different genes screened by differential expression analysis and validated using two external datasets. Finally, the correlation between the target gene, SA-AKI, and immune cells was verified experimentally.ResultsGreen modules associated with monocytes were identified using WGCNA and immune infiltration analysis. Differential expression analysis and PPI network analysis identified two hub genes (AFM and GSTA1). Further validation using additional AKI datasets GSE30718 and GSE44925 showed that AFM was significantly downregulated in AKI samples and correlated with the development of AKI. The correlation analysis of hub genes and immune cells showed that AFM was significantly associated with monocyte infiltration and hence, selected as a critical gene. In addition, Gene single-enrichment analysis (GSEA) and PPI analyses results showed that AFM was significantly related to the occurrence and development of SA-AKI.ConclusionsAFM is inversely correlated with the recruitment of monocytes and the release of various inflammatory factors in the kidneys of AKI. AFM can be a potential biomarker and therapeutic target for monocyte infiltration in sepsis-related AKI.

Chronic kidney disease (CKD) is defined by persistent urine aberrations, structural abnormalities, or impaired excretory renal function. Diabetes is the leading cause of CKD. Their common pathological manifestation is renal fibrosis. Approximately half of all patients with type 2 diabetes and one-third with type 1 diabetes will develop CKD. However, renal fibrosis mechanisms are still poorly understood, especially post-transcriptional and epigenetic regulation. And an unmet need remains for innovative treatment strategies for preventing, arresting, treating, and reversing diabetic kidney disease (DKD). People believe that protein methylation, including histone and non-histone, is an essential type of post-translational modification (PTM). However, prevalent reviews mainly focus on the causes such as DNA methylation. This review will take insights into the protein part. Furthermore, by emphasizing the close relationship between protein methylation and DKD, we will summarize the clinical research status and foresee the application prospect of protein methyltransferase (PMT) inhibitors in DKD treatment. In a nutshell, our review will contribute to a more profound understanding of DKD’s molecular mechanism and inspire people to dig into this field.

Sepsis is a systemic inflammatory response caused by a severe infection that leads to multiple organ damage, including acute kidney injury (AKI). In intensive care units (ICU), the morbidity and mortality associated with sepsis-associated AKI (SA-AKI) are gradually increasing due to lack of effective and early detection, as well as proper treatment. Non-coding RNAs (ncRNAs) exert a regulatory function in gene transcription, RNA processing, post-transcriptional translation, and epigenetic regulation of gene expression. Evidence indicated that miRNAs are involved in inflammation and programmed cell death during the development of sepsis-associated AKI (SA-AKI). Moreover, lncRNAs and circRNAs appear to be an essential regulatory mechanism in SA-AKI. In this review, we summarized the molecular mechanism of ncRNAs in SA-AKI and discussed their potential in clinical diagnosis and treatment.

Traditional dc magnetron sputtering has a low ionization rate when preparing metallic thin films. With the development of thin film science and the market demand for thin film material applications, it is necessary to improve the density of magnetron-sputtered films. High-power pulsed magnetron sputtering (HiPIMS) technology is a physical vapor deposition technology with a high ionization rate and high energy. Therefore, in this work, HiPIMS was applied to prepare metallic tungsten films and compare the surface morphology and microstructure of metallic tungsten films deposited using HiPIMS and dc magnetron sputtering (dcMS) technology under different pulse lengths, as well as related thermal resistance performance, followed by annealing treatment for comparative analysis. We used AFM, SEM, XRD, and plasma characterization testing to comprehensively analyze the changes in the TCR value, stability, repeatability and other related performance of the metallic tungsten thin-film sensor deposited by the HiPIMS technology. It was determined that the thin film prepared by the HiPIMS method is denser, with fewer defects, and the film sensor was stable. The 400 °C annealed sample prepared using HiPIMS with a 100 μs pulse length reaches the largest recorded TCR values of 1.05 × 10−3 K−1. In addition, it shows better stability in repeated tests. [ABSTRACT FROM AUTHOR]

Regulating the heterostructure of electrode materials has a great influence on electron migration and subsequent electrochemical reactions, which play a critical role in the sensing process. Herein, a facile method has been demonstrated to synthesize TiN/ graphitic carbon (TiN/gC) nanocomposites by the in situ growth of TiN nanoparticles on C nanosheets. The formation of TiN/gC heterojunctions was evidenced by X-ray diffraction (XRD), Raman microscopy and transmission electron microscopy (TEM). This heterostructure can effectively facilitate electron transfer and increase the electrochemically active area, which improves the electrocatalytic performance. Interestingly, the TiN/gC-modified glassy carbon electrode (TiN-gC/GCE) exhibited excellent electrocatalytic activity toward ofloxacin (OFLX) redox. With the change in the OFLX concentration, the electrochemical response of the sensor also changes. By using a differential pulse voltammetry (DPV) technique, the designed sensor showed a wide detection range: the DPV response was linearly dependent on the concentrations in the range of 0.05 – 1.0 and 1.0 – 100 μM. Moreover, TiN-gC/GCE demonstrated outstanding analytical performances in the quantitative OFLX assay, such as a high sensitivity of 2876 μA·mM−1 ·cm–2, low detection limit of 0.016 μM, good selectivity and stability. The proposed method was successfully applied for OFLX detection in eye drops and environmental water with satisfactory results. Regulating the heterostructure of electrode materials has a great influence on electron migration and subsequent electrochemical reactions, which play a critical role in the sensing process. Herein, a facile method has been demonstrated to synthesize TiN/ graphitic carbon (TiN/gC) nanocomposites by the in situ growth of TiN nanoparticles on C nanosheets. The formation of TiN/gC heterojunctions was evidenced by X-ray diffraction (XRD), Raman microscopy and transmission electron microscopy (TEM). This heterostructure can effectively facilitate electron transfer and increase the electrochemically active area, which improves the electrocatalytic performance. Interestingly, the TiN/gC-modified glassy carbon electrode (TiN-gC/GCE) exhibited excellent electrocatalytic activity toward ofloxacin (OFLX) redox. With the change in the OFLX concentration, the electrochemical response of the sensor also changes. By using a differential pulse voltammetry (DPV) technique, the designed sensor showed a wide detection range: the DPV response was linearly dependent on the concentrations in the range of 0.05 – 1.0 and 1.0 – 100 μM. Moreover, TiN-gC/GCE demonstrated outstanding analytical performances in the quantitative OFLX assay, such as a high sensitivity of 2876 μA·mM−1 ·cm–2, low detection limit of 0.016 μM, good selectivity and stability. The proposed method was successfully applied for OFLX detection in eye drops and environmental water with satisfactory results. [ABSTRACT FROM AUTHOR]

Breast cancer subtypes display different metastatic organotropism. Identification of the mechanisms underlying subtype-specific organotropism could help uncover potential approaches to prevent and treat metastasis. Herein, we found that FOXF2 promoted the seeding and proliferative recovery from dormancy of luminal breast cancer (LumBC) and basal-like breast cancer (BLBC) cells in the bone by activating the NF-κB and BMP signaling pathways. Conversely, FOXF2 suppressed the seeding and proliferative recovery of BLBC cells in the lung by repressing the TGF-β signaling pathway. FOXF2 directly upregulated RelA/p65 transcription and expression in LumBC and BLBC cells by binding to the RELA proximal promoter region, and RelA/p65 bound to the FOXF2 proximal promoter region to upregulate expression, forming a positive feedback loop. Targeting the NF-κB pathway efficiently prevented the metastasis of FOXF2-overexpressing breast cancer cells to the bone, while inhibiting TGF-β signaling blocked the metastasis of BLBC with low FOXF2 expression to the lung. These findings uncover critical mechanisms of breast cancer subtype-specific organotropism and provide insight into precision assessment and treatment strategies.

Fouling of landfill leachate, a biofilm formation process on the surface of the collection system, migration pipeline and treatment system causes low efficiency of leachate transportation and treatment and increases cost for maintenance of those facilities. In addition, landfill leachate fouling might accumulate pathogens and antibiotic resistance genes (ARGs), posing threats to the environment. Characterization of the landfill leachate fouling and its associated environmental behavior is essential for the management of fouling. In this study, physicochemical and biological properties of landfill leachate fouling and the possible accumulation capacity of pathogens and ARGs were investigated in nitrification (aerobic condition) and denitrification (anaerobic condition) process during landfill leachate biological treatment, respectively. Results show that microbial (bacterial, archaeal, eukaryotic, and viral) community structure and function (carbon fixation, methanogenesis, nitrification and denitrification) differed in fouling under aerobic and anaerobic conditions, driven by the supplemental leachate water quality. Aerobic fouling had a higher abundance of nitrification and denitrification functional genes, while anaerobic fouling harbored a higher abundance of carbon fixation and methanogenesis genes. Both forms of leachate fouling had a higher abundance of pathogens and ARGs than the associated leachate, suggesting the accumulation capacity of fouling on biotic pollutants. Specifically, aerobic fouling harbored three orders of magnitude higher multidrug resistance genes mexD than its associated leachate. This finding provides fundamental knowledge on the biological properties of leachate fouling and suggests that leachate fouling might harbor significant pathogens and ARGs., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022. Published by Elsevier B.V.)

Background: The active components of Cortex Periplocae (CP) exert antitumor properties in many cancers. However, little is known about their effects on glioma or the related underlying mechanisms., Objectives: The study investigated the underlying mechanism of CP in treating glioma., Material and Methods: The U251 and TG905 cells were treated with an ethanol extract from CP. Cell proliferation was detected using Cell Counting Kit-8 (CCK-8) and a colony formation assay. The flow cytometric analysis was applied to explore the induction of cell cycle arrest and apoptosis. The expression levels of cell cycleand apoptosis-associated proteins were measured with western blot. A network pharmacology method was performed to predict the potential mechanism underlying the effects of the active components of CP on glioma. Then, isobaric tags for relative and absolute quantitation (iTRAQ)-based quantitative proteomics analysis was used to verify the differentially expressed proteins and pathways in order to reveal the underlying mechanisms. Furthermore, to determine the iTRAQ results, 6 candidate proteins were chosen for quantification using parallel reaction monitoring (PRM)., Results: The CP extract inhibited the proliferation of U251 and TG905 cells and induced cell cycle arrest and apoptosis. There are 16 active compounds of CP. The antitumor mechanism of CP may be related to the apoptosis pathway, p53 signaling pathway, PI3K-AKT pathway, or transcriptional misregulation in cancer pathway. Six proteins (HSP90AB1, TOP2A, ATP1A1, TGFβ1, ATP1B1, and TYMS) were determined to be key factors involved in regulating CP in glioma., Conclusions: Our research revealed the underlying mechanism of CP in treating glioma using integrated network pharmacology and iTRAQ-based quantitative proteomics technology.