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The anticancer activity of Peucedanum praeruptorum Dunn extract (PPDE) was investigated in vitro in the HepG2 human hepatoma cell line and compared to normal human liver cells (L02 cells). The effect of the PPDE on the proliferation of the cells was measured by MTT assays, and the levels of enzymes and small molecules implicated in oxidative stress regulation were measured using specific reagent kits. The expression levels of genes implicated in apoptosis (Bax, Bcl-2, caspase-3, caspase-8, and caspase-9) and oxidative stress (SOD1 and SOD2) were quantified by RT-qPCR. Lastly, HPLC was employed to analyze the composition of the PPDE. PPDE was found to significantly inhibit the proliferation of HepG2 cells but had little effect on the proliferation of normal liver cells. PPDE increased the levels of reactive oxygen species and malonaldehyde, a lipid peroxidation product, in HepG2 cells, and it reduced the activities of antioxidant enzymes, as well as the levels of γ-GCS and reduced glutathione (GSH), suggesting that it inhibited the ability of cancer cells to regulate intracellular oxidative stress. PPDE also increased the expression of the genes encoding Bax, caspase-3, caspase-8, and caspase-9 and decreased the expression of Bcl-2, SOD1, and SOD2 in HepG2 cells, suggesting that PPDE induced the apoptosis of the liver cancer cells. HPLC analysis identified that the components of PPDE included caffeic acid, isochlorogenic acid C, myricetin, baicalin, luteolin, and kaempferol, all of which have demonstrated antioxidant properties. [ABSTRACT FROM AUTHOR]

The prediction of the spatiotemporal dynamic evolution of vegetation cover in the Huainan mining area and the quantitative evaluation of its driving factors are of great significance for protecting and restoring the environment in this area. This study uses the Landsat 5 TM and Landsat 8 OLI time-series data to estimate the vegetation cover and uses the transition matrix to analyze the spatiotemporal transfer of vegetation cover from 1989 to 2004, 2004 to 2021, and 2021 to 2030. In addition, a structural equation model (SEM) was established in this study to assess the driving factors of vegetation cover. The quantitative analysis and the cellular automata (CA)-Markov model were performed to predict the future vegetation cover in the Huainan mining area. The results are as follows: (1) In different periods, the vegetation cover types were mainly high cover types transferred to other vegetation cover types; (2) human activities are the key factors affecting the vegetation growth, while topographical factor is the most influential factor promoting the vegetation growth; (3) highly consistent CA-Markov and multi-criteria evaluation (MCE) predicted results of vegetation cover in 2030 compared to that in 2021. The proportion of bare soil and low cover types had increased significantly, mainly concentrated in the internal area of the mines. The prediction of the spatiotemporal evolution of vegetation cover in the Huainan mining area and the quantitative change in driving factors are of significant importance for the restoration of the environment in mining areas. [ABSTRACT FROM AUTHOR]

WeChat is the largest social media platform in China, yet few WeChat-based smoking cessation interventions have been investigated to date. The objective of this study was to develop and test the feasibility of a WeChat-based smoking cessation intervention for smokers in China. Participants were recruited using WeChat and were then randomized into one of three groups: the Standard Group, the Enhanced Group, and the wait-list Control Group. Feasibility indicators including program reach, recruitment rate, recruitment efficiency, cost per person, attrition rate, intervention message exposure, group discussion utilization rate, intervention message engagement, satisfaction, and the likelihood of recommending to others were measured with assessed. Analyses included Chi-square and Fisher exact test, as well as analysis of variance test. A responsive participant is defined as a participant that responded to a certain assessment. A total of 1,132 individuals connected with ("friended") our project on WeChat between July 1 and August 5, 2019. Of these, 403 were eligible to participate, consented, and completed the baseline assessment. As a result, 136, 135, and 132 smokers were randomly assigned to the Standard Group, the Enhanced Group, and the Control Group, respectively. The total program recruitment rate was 35.6% and the attrition rate was 46.4%. The program cost was $0.85 per person. All responsive participants read at least one message during the intervention and engaged with intervention messages 56.8% of the time. Most responsive participants reported being very or somewhat satisfied, highly or somewhat engaged, and were willing to recommend our program to others. This study demonstrated the feasibility of a smoking cessation interventions using WeChat. The program could be expanded to deliver smoking cessation interventions to a large population of smokers. [ABSTRACT FROM AUTHOR]

Aiming at the problem of soil improvement for mining wasteland reclamation, this article takes the coal mining subsidence reclamation area of a coal mine in the east of China as the research object. Compost improvement and green manure improvement experiments were carried out to study the impact of different biomass improvement methods on the quality of reclaimed soil. 10 soil physical and chemical indicators including water content, total nitrogen, ammonia nitrogen, nitrate nitrogen, available phosphorus, available potassium, total phosphorus, organic matter, pH, and conductivity were selected to evaluate the effect of soil improvement. After 5 months of soil improvement, the results showed that planting alfalfa and Mexican corn in the reclaimed area can increase soil available phosphorus, available potassium, total phosphorus, and organic matter content. Cattail, a common aquatic plant in the coal mining subsidence area in the east, is used to make organic compost. When the compost is applied to reclaimed soil, the content of available phosphorus, available potassium, and total phosphorus in the soil can be significantly increased. Using white vanilla clover as green manure for reclaiming soil can significantly increase the content of nitrate nitrogen, available phosphorus, available potassium, and total phosphorus in the soil. Biomass improvement technology can improve the fertility level of coal mine reclamation soil in a short time. It is conducive to promoting the restoration of soil fertility of mining wasteland and realizing the sustainable development and utilization of plant resources and land resources. [ABSTRACT FROM AUTHOR]

Raffino-oligosaccharide (ROS), the smallest oligosaccharide of the raffinose family, is a novel food ingredient. However, the anti-constipation effects of ROS remain obscure. This study investigates the anti-constipation effects of ROS based on the loperamide-induced mice model and reveals the underlying mechanism using constipation parameters, neurotransmitter level, 16S rRNA sequencing, and the targeted screening strategy. The prevention effects were firstly investigated by the gastro-intestinal transit rate experiment (50 mice) and defecation status experiment (50 mice), which were divided into five groups (n = 10/group): blank, model, and low-, medium- and high-dose ROS. Furthermore, the slow-transit constipation experiment (blank, model, and high-dose ROS, n = 10/group) was conducted to illustrate the underlying mechanism. The results showed that ROS aided in preventing the occurrence of constipation by improving the gastro-intestinal transit rate and the defecation frequency in mice, and ROS significantly reduced the serum levels of vasoactive intestinal peptide (VIP). In addition, ROS regulated the diversity and structure of intestinal flora. Among them, one specific family and six specific genera were significantly regulated in constipated mice. The targeted screening revealed that 29 targets related to the anti-constipation effects of ROS, indicating ROS may play a role by regulating multiple targets. Furthermore, the network pharmacology analysis showed that Akt1, Stat3, Mapk8, Hsp90aa1, Cat, Alb, Icam1, Sod2, and Gsk3b can be regarded as the core anti-constipation targets. In conclusion, ROS could effectively relieve constipation, possibly by inhibiting the level of neurotransmitters and regulating the gut flora in mice. This study also provides a novel network pharmacology-based targeted screening strategy to reveal the anti-constipation effects of ROS. [ABSTRACT FROM AUTHOR]

Background and Purpose: Optic nerve sheath diameter (ONSD) enlargement occurs in patients with intracerebral hemorrhage (ICH). However, the relationship between ONSD and prognosis of ICH is uncertain. This study aimed to investigate the predictive value of ONSD on poor outcome of patients with acute spontaneous ICH. Methods: We studied 529 consecutive patients with acute spontaneous ICH who underwent initial CT within 6 h of symptom onset between October 2016 and February 2019. The ONSDs were measured 3 mm behind the eyeball on initial CT images. Poor outcome was defined as having a Glasgow Outcome Scale (GOS) score of 1–3, and favorable outcome was defined as having a GOS score of 4–5 at discharge. Results: The ONSD of the poor outcome group was significantly greater than that of the favorable outcome group (5.87 ± 0.86 vs. 5.21 ± 0.69 mm, p < 0.001). ONSD was related to hematoma volume (r = 0.475, p < 0.001). Adjusting other meaningful predictors, ONSD (OR: 2.83; 95% CI: 1.94–4.15) was associated with poor functional outcome by multivariable logistic regression analysis. Receiver operating characteristic curve showed that the ONSD improved the accuracy of ultraearly hematoma growth in the prediction of poor outcome (AUC: 0.790 vs. 0.755, p = 0.016). The multivariable logistic regression model with all the meaningful predictors showed a better predictive performance than the model without ONSD (AUC: 0.862 vs. 0.831, p = 0.001). Conclusions: The dilated ONSD measured on initial CT indicated elevated intracranial pressure and poor outcome, so appropriate intervention should be taken in time. [ABSTRACT FROM AUTHOR]

Objectives: Predicting the risk of rupture of small intracranial aneurysms remains challenging. The irregular pulsation of aneurysms detected by four-dimensional CT angiography (4D-CTA) could be an imaging marker of aneurysm vulnerability. We aimed to investigate the association of irregular pulsation with small aneurysm rupture. Materials and Methods: This was a prospective study on intracranial aneurysms detected by 4D-CTA from October 2017 to January 2020. A total of 242 consecutive patients with 316 aneurysms were enrolled. Irregular pulsation was defined as a temporary focal protuberance on more than 3 consecutive frames of the 20 phases in the RR interval. Small aneurysms were defined as those <7 mm. Univariate and multivariate analyses were performed to determine the independent predictors of small aneurysm rupture. Results: A total of 169 patients with 217 small intracranial aneurysms were included. Fourteen (6.5%) of the aneurysms had ruptured, and 77 (35.5%) had irregular pulsation. There were no significant differences in age, sex, hypertension, smoking, diabetes, drinking, or hyperlipidemia between the ruptured and unruptured aneurysm groups. The univariate analysis showed that smaller vessel size (p = 0.008), larger size ratio (p = 0.003), larger aspect ratio (p = 0.006), larger flow angle (p = 0.001), large vessel angle (p = 0.004), middle cerebral artery aneurysms (p = 0.046), anterior cerebral artery/posterior communicating artery/posterior circulation aneurysm (p = 0.006), irregular aneurysm (p = 0.001), and t presence of irregular pulsation (p = 0.001) were associated with small aneurysm rupture. The multivariate analysis showed that the presence of irregular pulsation (p = 0.003), anterior cerebral artery/posterior communicating artery/posterior circulation aneurysms (p = 0.014), and larger flow angle (p = 0.006) was independently associated with aneurysm rupture. Multivariate analysis of predictors of the irregular pulsation of small aneurysms showed that the aneurysm rupture (p = 0.022), irregular aneurysm (p < 0.001), and large size ratio (p = 0.005) were independently associated with the presence of irregular pulsation. Conclusions: The ruptured small aneurysms more often had irregular pulsation. The irregular pulsation was independently associated with aneurysm rupture and may help evaluate the risk of rupture of small intracranial aneurysms. [ABSTRACT FROM AUTHOR]

In this paper, the carbon nanotubes/polystyrene nanocomposites were fabricated via Pickering emulsion polymerization using sulfonated carbon nanotubes as solid surfactant. The functionalized carbon nanotubes could be used as effective surfactant of styrene-in-water emulsion and dispersed homogeneously in the production of polystyrene as effective nanofiller by this method. The research results show that the carbon nanotubes/polystyrene nanocomposites were prepared and the thermal stability of polystyrene was significantly improved with low functionalized carbon nanotubes loading. [ABSTRACT FROM AUTHOR]

Objective: Infiltrating immune and stromal cells are essential for osteosarcoma progression. This study set out to analyze immune–stromal score-based gene signature and molecular subtypes in osteosarcoma. Methods: The immune and stromal scores of osteosarcoma specimens from the TARGET cohort were determined by the ESTIMATE algorithm. Then, immune-stromal score-based differentially expressed genes (DEGs) were screened, followed by univariate Cox regression analysis. A LASSO regression analysis was applied for establishing a prognostic model. The predictive efficacy was verified in the GSE21257 dataset. Associations between the risk scores and chemotherapy drug sensitivity, immune/stromal scores, PD-1/PD-L1 expression, immune cell infiltrations were assessed in the TARGET cohort. NMF clustering analysis was employed for characterizing distinct molecular subtypes based on immune-stromal score-based DEGs. Results: High immune/stromal scores exhibited the prolonged survival duration of osteosarcoma patients. Based on 85 prognosis-related stromal–immune score-based DEGs, a nine-gene signature was established. High-risk scores indicated undesirable prognosis of osteosarcoma patients. The AUCs of overall survival were 0.881 and 0.849 in the TARGET cohort and GSE21257 dataset, confirming the well predictive performance of this signature. High-risk patients were more sensitive to doxorubicin and low-risk patients exhibited higher immune/stromal scores, PD-L1 expression, and immune cell infiltrations. Three molecular subtypes were characterized, with distinct clinical outcomes and tumor immune microenvironment. Conclusion: This study developed a robust prognostic gene signature as a risk stratification tool and characterized three distinct molecular subtypes for osteosarcoma patients based on immune–stromal score-based DEGs, which may assist decision-making concerning individualized therapy and follow-up project. [ABSTRACT FROM AUTHOR]

Objective: Radiomics and morphological features were associated with aneurysms rupture. However, the multicentral study of their predictive power for specific-located aneurysms rupture is rare. We aimed to determine robust radiomics features related to middle cerebral artery (MCA) aneurysms rupture and evaluate the additional value of combining morphological and radiomics features in the classification of ruptured MCA aneurysms. Methods: A total of 632 patients with 668 MCA aneurysms (423 ruptured aneurysms) from five hospitals were included. Radiomics and morphological features of aneurysms were extracted on computed tomography angiography images. The model was developed using a training dataset (407 patients) and validated with the internal (152 patients) and external validation (73 patients) datasets. The support vector machine method was applied for model construction. Optimal radiomics, morphological, and clinical features were used to develop the radiomics model (R-model), morphological model (M-model), radiomics-morphological model (RM-model), clinical-morphological model (CM-model), and clinical-radiomics-morphological model (CRM-model), respectively. A comprehensive nomogram integrating clinical, morphological, and radiomics predictors was generated. Results: We found seven radiomics features and four morphological predictors of MCA aneurysms rupture. The R-model obtained an area under the receiver operating curve (AUC) of 0.822 (95% CI, 0.776, 0.867), 0.817 (95% CI, 0.744, 0.890), and 0.691 (95% CI, 0.567, 0.816) in the training, temporal validation, and external validation datasets, respectively. The RM-model showed an AUC of 0.848 (95% CI, 0.810, 0.885), 0.865 (95% CI, 0.807, 0.924), and 0.721 (95% CI, 0.601, 0.841) in the three datasets. The CRM-model obtained an AUC of 0.856 (95% CI, 0.820, 0.892), 0.882 (95% CI, 0.828, 0.936), and 0.738 (95% CI, 0.618, 0.857) in the three datasets. The CRM-model and RM-model outperformed the CM-model and M-model in the internal datasets (p < 0.05), respectively. But these differences were not statistically significant in the external dataset. Decision curve analysis indicated that the CRM-model obtained the highest net benefit for most of the threshold probabilities. Conclusion: Robust radiomics features were determined related to MCA aneurysm rupture. The RM-model exhibited good ability in classifying ruptured MCA aneurysms. Integrating radiomics features into conventional models might provide additional value in ruptured MCA aneurysms classification. [ABSTRACT FROM AUTHOR]

Severe environmental issues are caused by long-term coal mining activities; however, the process of mercury (Hg) response in mining subsidence area sediments (MSAS) is still unclear, and direct evidence showing the relationship between Hg accumulation mechanism in sediments and mining activities is lacking. In this study, the characteristics of total mercury (THg) content in MSAS were investigated. Moreover, Hg isotopes were obtained to determine the main sources and environmental process of mercury in MSAS, and a MixSIAR mixing model was first used to estimate the potential Hg sources. The THg content ranged from 27.5 to 113.9 ng/g, with a mean of 65.8 ± 29.4 ng/g, exceeding the local soil background value (19.7 ng/g). The Hg in MSAS was affected by clay and organic matter. The Δ199Hg and Δ201Hg in the sediments varied from − 0.05–0.05‰ (mean: −0.01 ± 0.03‰) and − 0.07–0.01‰ (mean: −0.02 ± 0.03‰), respectively, with the fitting results suggesting that a photochemical reaction occurred in some of the Hg in the sediments prior to deposition. The results of the MixSIAR mixing model revealed that the Hg in MSAS was mainly derived from gangue, soil erosion, coal, fly ash, and feed, and their corresponding percentage contribution was 51.5 ± 9.6%, 23.8 ± 13.1%, 13.9 ± 7.9%, 8.1 ± 5.4%, and 3.1 ± 1.4%, respectively. Hg isotopes can be used to trace the transport and transformation of environmental pollutants, and this may provide an important reference for the assessment and prevention of Hg pollution in typical areas such as coal mining and coal-fired. [Display omitted] • Use isotope to identify the spatio changes of Hg sources. • The Bayesian mixing model was first used in mining area. • Hg in sediments may have undergone photochemical reactions. • Hg in sediments mainly sourced from gangue and soil erosion. • The Hg contamination in mining area needs to be optimized. [ABSTRACT FROM AUTHOR]

The increasing salinization of groundwater renders it challenging to maintain the water quality. Moreover, knowledge regarding the characteristics and mechanism of groundwater salinization in mining areas remains limited. This study represents the first attempt of combining the hydrochemical, isotope (δD, δ18O, δ37Cl, and 87Sr/86Sr) and multivariate statistical analysis methods to explore the origin, control, and influence of fluoride enrichment in mining cities. The TDS content of groundwater ranged from 275.9 mg/L to 2452.0 mg/L, and 54% of the groundwater samples were classified as class IV water according to China's groundwater quality standards (GB/T 14848–2017), indicating a decline in the water quality of the study area. The results of the groundwater ion ratio and isotope discrimination analysis showed that dissolution and evaporation involving water-rock interactions and halite were the main driving processes for groundwater salinization in the study area. In addition to the hydrogeological and climatic conditions, mine drainage inputs exacerbated the increasing salinity of the groundwater in local areas. The mineral dissolution, cation exchange, and evaporation promoted the F− enrichment, while excessive evaporation and salinity inhibited the F− enrichment. Gangue accumulation and infiltration likely led to considerable F− enrichment in individual groundwater regions. Extensive changes in the groundwater salinity indicated differences in the geochemical processes that controlled the groundwater salinization. Given the particularity of the study area, the enrichment of salinization and fluoride triggered by mining activities cannot be ignored. [Display omitted] • Use isotope and ionic contents to identify the salinity of groundwater. • Various geochemical processes control groundwater salinization. • The input of mine drainage intensifies the salinization of groundwater. • Intense evaporation and salinity could restrict the enrichment of fluoride. • The salinization of groundwater in mining area needs to be optimized. [ABSTRACT FROM AUTHOR]

The function of Hemerocallis citrina Baroni (daylily) on promoting lactation is reported in several ancient Chinese medicine books. However, nowadays, there is no conclusive data to support this statement. In this study, we investigated the effect of Hemerocallis citrina Baroni extract (HCE) on lactation insufficiency in chronic unpredictable mild stress (CUMS) dams and further explored the mechanism and functional components through network pharmacology. The results showed that HCE could increase the offspring's weight, serum prolactin (PRL), and oxytocin (OT) level of CUMS dams. Network pharmacology analysis revealed that the facilitation of HCE on lactation is the result of the comprehensive action of 62 components on 209 targets and 260 pathways, among this network, quercetin, kaempferol, thymidine, etc., were the vital material basis, signal transducer and activator of transcription 3 (STAT3), mitogen activity protein kinase 1 (MAPK1), tumor protein P53 (TP53), etc., were the core targets, and the prolactin signaling pathway was the core pathway. In addition, verification test results showed that HCE regulated the abnormal expression of the prolactin signaling pathway, including STAT3, cyclin D1 (CCND1), MAPK1, MAPK8, nuclear factor NF-kappa-B p105 subunit (NFKB1), and tyrosine-protein kinase (JAK2). In conclusion, HCE exhibited a facilitation of lactation insufficiency, in which quercetin, kaempferol, thymidine, etc., were the most important material basis. The mechanism of this promotional effect is mediated by the prolactin signaling pathway in mammary gland. [ABSTRACT FROM AUTHOR]

The thermochemical and kinetic behavior of co-combustion of coal, municipal sludge (MS) and their blends at different ratios were investigated by thermogravimetric analysis. Simulation experiments were performed in a vacuum tube furnace to determine the conversion behavior of toxic elements. The results show that the combustion processes of the blends of coal and municipal sludge are divided into three stages and the combustion curves of the blends are located between those of individual coal and municipal sludge samples. The DTGmax of the sample with 10% sludge addition reaches a maximum at the heating rate of 20 °C/min, indicating that the combustion characteristics of coal can be improved during co-combustion. Strong interactions were observed between coal and municipal sludge during the co-combustion. The volatilization rates of toxic elements decrease with an increasing proportion of sludge in the blends during co-combustion, which indicates that the co-combustion of coal and sludge can effectively reduce the volatilization rate of toxic elements. The study reflects the potential of municipal sludge as a blended fuel and the environmental effects of co-combustion of coal and municipal sludge. [ABSTRACT FROM AUTHOR]

Relying on the synchronic function of aggregation-induced emission (AIE) and excited-state intramolecular proton transfer (ESIPT) mechanisms, a novel fluorophore could emit red-fluorescence with a large Stokes' shift in aggregation state and be used as a sensor for highly selective and sensitive detection of Cu2+ in THF/water system (f w = 90%, pH = 7.4). [Display omitted] • A α-cyanostilbene-based sensor was synthesized by Schiff base reaction. • It could emit red-fluorescence with a large Stokes' shift of ca. 285 nm in solution and aggregation states. • It exhibited prominent "AIE + ESIPT" features in aggregation and solid states. • It possessed a specific sensing ability towards Cu2+ in aggregation and solid states. Through Schiff base reaction of the salicylaldehyde-like α-cyanostilbene derivative with benzophenone hydrazone, a novel fluorophore has been successfully obtained in high yield of 89% and fully characterized by standard spectroscopic techniques. Depending upon the synchronic function of aggregation-induced emission (AIE) and excited-state intramolecular proton transfer (ESIPT) mechanisms, this fluorophore emitted the fascinating red-fluorescence at 602 nm with a large Stokes' shift of 287 nm in aggregation state. This fluorophore as a sensor showed the highly selective and sensitive chelating ability towards Cu2+ in THF/water system (f w = 90%, pH = 7.4), which was confirmed by a prominent attenuation of red-fluorescence at 602 nm with the limit of detection (LOD) of 2.34 × 10-8 M due to the complexation of the sensor and Cu2+ with 2: 1 binding stoichiometry. The proposed recognition mechanism was supported by SEM images, HR-MS analysis, FT-IR and 1H NMR spectra. For applications, this sensor was successfully utilized to determine Cu2+ in environmental water samples. The silica gel test strip impregnated with this fluorophore was also employed for the on-site monitoring of Cu2+ under UV 365nm illumination, indicating its potential utility for visual detection of Cu2+ in solid state. Hence, this work provided a feasible strategy to construct long-wavelength intense fluorescence sensor for effective measurement of Cu2+ level in aggregation state as well as visual detection of Cu2+ in solid state. [ABSTRACT FROM AUTHOR]

Background: Carotid intima-media thickness (CIMT) has been shown to be a valuable predictor of cardiovascular diseases (CVDs). The aim of this study was to investigate the influencing factors of CIMT among adults in Central China., Methods: A total of 2,578 participants who underwent physical examination in Henan Provincial People's Hospital between January 2018 and July 2018 were enrolled. The respondents were divided into two subgroups according to their CIMT value (CIMT ≥1.0 mm group and CIMT <1.0 mm group). Variables considered were age, gender, total cholesterol, triglycerides, low-density lipoprotein (LDL) and high-density lipoprotein (HDL) triglycerides, fasting blood glucose, and uric acid levels, as well as hypertension, diabetes, body mass index (BMI), waist-to-hip ratio, body fat percentage, and visceral fat area (VFA). Logistic regression analysis was performed to explore the potential factors influencing CIMT., Results: The proportion of CIMT ≥1.0 mm among the physical examination population was 27.42% (707/2 578). The analysis of the two groups revealed significant differences in age, sex, hypertension, diabetes, total cholesterol, and HDL cholesterol. In the logistic regression analysis, age ( OR =1.071, 95% CI =1.062-1.080), male sex ( OR =2.012, 95% CI =1.251-2.238), hypertension ( OR =1.337, 95% CI =1.031-1.735), diabetes ( OR =1.535, 95% CI =1.045-2.255), HDL cholesterol ( OR =0.540, 95% CI =0.366-0.796), and LDL cholesterol ( OR =1.336, 95% CI =1.154-1.544) were significantly associated with abnormal CIMT., Conclusion: Early screening should be carried out among men, the older adults, and those with hypertension, diabetes, and dyslipidemia., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Yang, Wang, Zhang, Xiang, Wen, Wang, Guan, Wang, Yang, Hao and Chen.)

Background: Hypertension is a common comorbidity in patients with unruptured intracranial aneurysms and is closely associated with the rupture of aneurysms. However, only a few studies have focused on the rupture risk of aneurysms comorbid with hypertension. This retrospective study aimed to construct prediction models for the rupture of middle cerebral artery (MCA) aneurysm associated with hypertension using machine learning (ML) algorithms, and the constructed models were externally validated with multicenter datasets., Methods: We included 322 MCA aneurysm patients comorbid with hypertension who were being treated in four hospitals. All participants underwent computed tomography angiography (CTA), and aneurysm morphological features were measured. Clinical characteristics included sex, age, smoking, and hypertension history. Based on the clinical and morphological characteristics, the training datasets (n=277) were used to fit the ML algorithms to construct prediction models, which were externally validated with the testing datasets (n=45). The prediction performances of the models were assessed by receiver operating characteristic (ROC) curves., Results: The areas under the ROC curve (AUCs) of the k-nearest-neighbor (KNN), neural network (NNet), support vector machine (SVM) and logistic regression (LR) models in the training datasets were 0.83 [95% confidence interval (CI): 0.78-0.88], 0.87 (95% CI: 0.82-0.92), 0.91 (95% CI: 0.88-0.95), and 0.83 (95% CI: 0.77-0.88), respectively, and in the testing datasets were 0.74 (95% CI: 0.59-0.89), 0.82 (95% CI: 0.69-0.94), 0.73 (95% CI: 0.58-0.88), and 0.76 (95% CI: 0.61-0.90), respectively. The aspect ratio (AR) was ranked as the most important variable in the ML models except for NNet. Further analysis showed that the AR had good diagnostic performance, with AUC values of 0.75 in the training datasets and 0.77 in the testing datasets., Conclusions: The ML models performed reasonably accurately in predicting MCA aneurysm rupture comorbid with hypertension. AR was demonstrated as the leading predictor for the rupture of MCA aneurysm with hypertension., Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://qims.amegroups.com/article/view/10.21037/qims-22-918/coif). The authors have no conflicts of interest to declare., (2023 Quantitative Imaging in Medicine and Surgery. All rights reserved.)

Chronic stress, a leading factor for high blood pressure (BP) and even hypertension, affects health quality seriously. However, the management is rather difficult in our rapidly developing modern society, and the underlying mechanism that caused hypertension remains incompletely understood. In this study, we established a rat model of high BP induced by chronic unpredictable mild stress (CUMS). The results showed that CUMS increased the BP and heart rate, as well as the concentrations of CORT, NA, and ACTH. Based on tandem mass tag (TMT)-labeled proteomics, 13 proteins changed in RVLM. Then, targeted metabolomics together with real-time qPCR were applied to validate the levels of the biomolecules quantitatively. The related molecules were confirmed to reveal that CUMS has a great role in the upregulation of muscle contraction, synthesis of cAMP and transport of metals, while down-regulating ralaxin signaling. This finding facilitates a better understanding of the mechanism of hypertension induced by chronic stress and could provide an insight into the prevention and treatment of hypertension.

Coal mining subsidence lakes are classic hydrologic characteristics created by underground coal mining and represent severe anthropogenic disturbances and environmental challenges. However, the assembly mechanisms and diversity of microbial communities shaped by such environments are poorly understood yet. In this study, we explored aquatic bacterial community diversity and ecological assembly processes in subsidence lakes during winter and summer using 16S rRNA gene sequencing. We observed that clear bacterial community structure was driven by seasonality more than by habitat, and the α-diversity and functional diversity of the bacterial community in summer were significantly higher than in winter ( p  < 0.001). Canonical correspondence analysis indicated that temperature and chlorophyll-a were the most crucial contributing factors influencing the community season variations in subsidence lakes. Specifically, temperature and chlorophyll-a explained 18.26 and 14.69% of the community season variation, respectively. The bacterial community variation was driven by deterministic processes in winter but dominated by stochastic processes in summer. Compared to winter, the network of bacterial communities in summer exhibited a higher average degree, modularity, and keystone taxa (hubs and connectors in a network), thereby forming a highly complex and stable community structure. These results illustrate the clear season heterogeneity of bacterial communities in subsidence lakes and provide new insights into revealing the effects of seasonal succession on microbial assembly processes in coal mining subsidence lake ecosystems., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Fang, Fan, Xu, Wang, Wang, Lu and Chen.)

A simple α -cyanostilbene-functioned salicylaldehyde-based Schiff-base probe, which exhibited outstanding 'aggregation-induced emission and excited state intramolecular proton transfer (AIE + ESIPT)' emission in solution, aggregation and solid states, was synthesized in high yield of 87%. Its solid-states with different morphologies emitted different fluorescence after crystallization in EtOH/H 2 O (1/2, v/v) mixtures or pure EtOH solvent. Besides, it exhibited an obvious spectro-photometrical fluorescence quenching for highly selective sensing of Co 2+ in THF/water system (ƒ w = 60%, pH = 7.4), accompanied by an intense green fluorescence turn-off behavior under UV 365nm illumination. The binding stochiometry between the ligand and Co 2+ was found to be 2:1, and the detection limit (DL) was calculated to be 0.41 × 10 -8 M. In addition, it could be applied to detect Co 2+ in real water samples and on silica gel testing strip., (© 2022 IOP Publishing Ltd.)

WeChat is the largest social media platform in China, yet few WeChat-based smoking cessation interventions have been investigated to date. The objective of this study was to develop and test the feasibility of a WeChat-based smoking cessation intervention for smokers in China. Participants were recruited using WeChat and were then randomized into one of three groups: the Standard Group, the Enhanced Group, and the wait-list Control Group. Feasibility indicators including program reach, recruitment rate, recruitment efficiency, cost per person, attrition rate, intervention message exposure, group discussion utilization rate, intervention message engagement, satisfaction, and the likelihood of recommending to others were measured with assessed. Analyses included Chi-square and Fisher exact test, as well as analysis of variance test. A responsive participant is defined as a participant that responded to a certain assessment. A total of 1,132 individuals connected with ("friended") our project on WeChat between July 1 and August 5, 2019. Of these, 403 were eligible to participate, consented, and completed the baseline assessment. As a result, 136, 135, and 132 smokers were randomly assigned to the Standard Group, the Enhanced Group, and the Control Group, respectively. The total program recruitment rate was 35.6% and the attrition rate was 46.4%. The program cost was $0.85 per person. All responsive participants read at least one message during the intervention and engaged with intervention messages 56.8% of the time. Most responsive participants reported being very or somewhat satisfied, highly or somewhat engaged, and were willing to recommend our program to others. This study demonstrated the feasibility of a smoking cessation interventions using WeChat. The program could be expanded to deliver smoking cessation interventions to a large population of smokers., (© Society of Behavioral Medicine 2022. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Discordant findings were frequently reported by studies dedicated to exploring the association of morphological/hemodynamic factors with the rupture of intracranial aneurysms (IAs), probably owing to insufficient control of confounding factors. In this study, we aimed to minimize the influences of confounding factors by focusing IAs of interest on mirror aneurysms and, meanwhile, modeling IAs together with the cerebral arterial network to improve the physiological fidelity of hemodynamic simulation. Fifty-two mirror aneurysms located at the middle cerebral artery (MCA) in 26 patients were retrospectively investigated. Numerical tests performed on two randomly selected patients demonstrated that over truncation of cerebral arteries proximal to the MCA during image-based model reconstruction led to uncertain changes in computed values of intra-aneurysmal hemodynamic parameters, which justified the minimal truncation strategy adopted in our study. Five morphological parameters (i.e., volume (V), height (H), dome area (DA), nonsphericity index (NSI), and size ratio (SR)) and two hemodynamic parameters (i.e., peak wall shear stress (WSS) (peakWSS), and pressure loss coefficient (PLc)) were found to differ significantly between the ruptured and unruptured aneurysms and proved by receiver operating characteristic (ROC) analysis to have potential value for differentiating the rupture status of aneurysm with the areas under curve (AUCs) ranging from 0.681 to 0.763. Integrating V, SR, peakWSS, and PLc or some of them into regression models considerably improved the classification of aneurysms, elevating AUC up to 0.864, which indicates that morphological and hemodynamic parameters have complementary roles in assessing the risk of aneurysm rupture., (Copyright © 2022 by ASME.)

Objective: Small intracranial aneurysms are increasingly being detected; however, a prediction model for their rupture is rare. Random forest modeling was used to predict the rupture status of small middle cerebral artery (MCA) aneurysms with morphological features., Methods: From January 2009 to June 2020, we retrospectively reviewed patients with small MCA aneurysms (<7 mm). The aneurysms were randomly split into training (70%) and internal validation (30%) cohorts. Additional independent datasets were used for the external validation of 78 small MCA aneurysms from another four hospitals. Aneurysm morphology was determined using computed tomography angiography (CTA). Prediction models were developed using the random forest and multivariate logistic regression., Results: A total of 426 consecutive patients with 454 small MCA aneurysms (<7 mm) were included. A multivariate logistic regression analysis showed that size ratio (SR), aspect ratio (AR), and daughter dome were associated with aneurysm rupture, whereas aneurysm angle and multiplicity were inversely associated with aneurysm rupture. The areas under the receiver operating characteristic (ROC) curves (AUCs) of random forest models using the five independent risk factors in the training, internal validation, and external validation cohorts were 0.922, 0.889, and 0.92, respectively. The random forest model outperformed the logistic regression model ( p = 0.048). A nomogram was developed to assess the rupture of small MCA aneurysms., Conclusion: Random forest modeling is a good tool for evaluating the rupture status of small MCA aneurysms and may be considered for the management of small aneurysms., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Zhou, Xia, Li, Zheng, Jia, Wang, Zhao, Liu, Yang and Chen.)

Background: Although anterior communicating artery (ACoA) aneurysms have a higher risk of rupture than aneurysms in other locations, whether to treat unruptured ACoA aneurysms incidentally found is a dilemma because of treatment-related complications. Machine learning models have been widely used in the prediction of clinical medicine. In this study, we aimed to develop an easy-to-use decision tree model to assess the rupture risk of ACoA aneurysms., Methods: This is a retrospective analysis of rupture risk for patients with ACoA aneurysms from two medical centers. Morphologic parameters of these aneurysms were measured and evaluated. Univariate analysis and multivariate logistic regression analysis were performed to investigate the risk factors of aneurysm rupture. A decision tree model was developed to assess the rupture risk of ACoA aneurysms based on significant risk factors., Results: In this study, 285 patients were included, among which 67 had unruptured aneurysms and 218 had ruptured aneurysms. Aneurysm irregularity and vessel angle were independent predictors of rupture of ACoA aneurysms. There were five features, including size ratio, aneurysm irregularity, flow angle, vessel angle, and aneurysm size, selected for decision tree modeling. The model provided a visual representation of a decision tree and achieved a good prediction performance with an area under the receiver operating characteristic curve of 0.864 in the training dataset and 0.787 in the test dataset., Conclusion: The decision tree model is a simple tool to assess the rupture risk of ACoA aneurysms and may be considered for treatment decision-making of unruptured intracranial aneurysms., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Liu, Xing, Chen, Lin, Zhou, Wan, Pan, Yang and Zhao.)