Mechanism of action of microRNA166 on nitric oxide in alfalfa (Medicago sativa L.) under drought stress.

BACKGROUND: Alfalfa is a perennial forage crop of high importance, but its cultivation is often affected by drought stress. Currently, the investigation of drought-related small RNAs is a popular research topic to uncover plant drought resistance mechanisms. Among these small RNAs, microRNA166 (miR166) is associated with drought in numerous plant species. Initial small RNA sequencing studies have shown that miR166 is highly responsive to exogenous nitric oxide (NO) and drought. Therefore, analyzing the expression of Msa-miR166 under nitric oxide and drought treatment is significant. RESULT: Bioinformatics analysis revealed that the miR166 family is widely distributed among plants, ranging from mosses to eudicots, with significant distribution differences between species. The evolutionary degree of Msa-miR166s is highly similar to that of Barrel medic (Medicago truncatula) and Soybean (Glycine max), but significantly different from the model plant Arabidopsis (Arabidopsis thaliana). It is suggested that there are no significant differences in miR166s within the species, and members of Msa-miR166s can form a typical stem-loop. The lowest level of exogenous nitric oxide was observed in Msa-miR166s under drought stress, followed by individual drought, and the highest level was observed after removing endogenous nitric oxide. CONCLUSION: In response to short-term drought, Msa-miR166s down-regulate expression in alfalfa (Medicago sativa L.). Exogenous nitric oxide can reduce the expression of Msa-miR166s in response to short-term drought. These findings suggest that Msa-miR166e-5p is responsive to environmental changes. The expression levels of target genes showed an opposite trend to Msa-miR166s, verifying the accuracy of Degradome sequencing in the early stage. This suggests that alfalfa experiences drought stress when regulated by exogenous nitric oxide, targeting HD ZIP-III, FRI, and CoA ligase genes. Additionally, the expression of Msa-miR166s in response to drought stress varies between leaves and roots, indicating spatiotemporal specificity.

Meta-analysis of SnRK2 gene overexpression in response to drought and salt stress.

SNF1-RELATED KINASE 2 (SnRK2) plays a crucial role in plants' stress response. Although studies have reported that the overexpression of several SnRK2 family members in different plants leads to improved stress tolerance, it is difficult to elucidate the mechanisms by which SnRK2s regulate stress tolerance due to the variability of experimental variables in these studies. Therefore, we used meta-analysis to comprehensively analyze 22 parameters that can reflect drought tolerance and salinity tolerance in SnRK2s-transformed plants and to explore the effects that different experimental variables between studies have on the relevant plant parameters. The results showed that the overexpression of SnRK2s mainly improved plants' drought and salinity tolerance by reducing their osmotic stress and oxidative damage, improving photosynthesis and other biochemical and physiological processes. Out of the 22 physiological parameters, 17 and 19 were significantly affected by drought and salt stress, respectively, and 10 indicators were also significantly changed under non-stress conditions. Under salt stress, the cell membrane permeability among these parameters shows the most significant changes, increasing by 506.57% in SnRK2-overexpressing plants compared to wild type (WT). Therefore, although plants overexpressing SnRK2s respond positively to both drought and salt stress, they demonstrated greater tolerance to salt stress. In addition, among the detected regulatory variables, donor-acceptor type, promoter type, stress type, experimental medium, and duration all affected the extent of SnRK2s overexpression and affected the physiological characteristics of the transgenic plants. Also, different stress conditions (salt, drought stress) led to different degrees of transformation. These studies provide new research directions for studying crop stress tolerance and help to better explore the functions played by SnRK2s in external plant stresses.

Structure-preserving integrated analysis for risk stratification with application to cancer staging.

To provide appropriate and practical level of health care, it is critical to group patients into relatively few strata that have distinct prognosis. Such grouping or stratification is typically based on well-established risk factors and clinical outcomes. A well-known example is the American Joint Committee on Cancer staging for cancer that uses tumor size, node involvement, and metastasis status. We consider a statistical method for such grouping based on individual patient data from multiple studies. The method encourages a common grouping structure as a basis for borrowing information, but acknowledges data heterogeneity including unbalanced data structures across multiple studies. We build on the "lasso-tree" method that is more versatile than the well-known classification and regression tree method in generating possible grouping patterns. In addition, the parametrization of the lasso-tree method makes it very natural to incorporate the underlying order information in the risk factors. In this article, we also strengthen the lasso-tree method by establishing its theoretical properties for which Lin and others (2013. Lasso tree for cancer staging with survival data. Biostatistics 14, 327-339) did not pursue. We evaluate our method in extensive simulation studies and an analysis of multiple breast cancer data sets.

Analysis of Risk Factors for Major Adverse Cardiovascular Events in Patients with Coronary Stent Restenosis after Revascularization.

Background: To investigate the risk factors for myocardial infarction, recurrent in-stent restenosis (ISR) and target vessel revascularization (TVR) in patients with coronary ISR within 4 years after revascularization. Methods: A total of 1884 patients who were hospitalized at Fuwai Hospital for ISR and successfully treated with coronary intervention between January 2017 and December 2018 were included to determine whether there were myocardial infarction, recurrent ISR, TVR and other major adverse cardiovascular events (MACEs) within 4 years after intervention. The patients were divided into the MACE group (215 patients) and the non-MACE group (1669 patients). The clinical data of patients in the two groups were compared, and the risk factors for postoperative MACEs in the ISR patients were obtained by multivariate logistic regression analysis. The receiver operating characteristic (ROC) curve was used to determine the optimal prediction threshold for postoperative MACEs in ISR patients. The difference in survival curves between the two groups was compared using Kaplan‒Meier survival analysis. Results: The albumin (43.42 ± 4.77 vs. 44.17 ± 4.46, p = 0.021), direct bilirubin (2.5 (2, 3.5) vs. 2.8 (2.07, 3.73), p = 0.036) and free triiodothyronine (FT3) (2.85 ± 0.43 vs. 2.92 ± 0.42, p = 0.019) levels in the MACE group were significantly lower than those in the non-MACE group, and there was a significant negative correlation between albumin and FT3 and MACEs. The results of univariate and multivariate logistic regression analyses revealed that FT3 was an independent predictor of postoperative MACEs in ISR patients (Odds Ratio (OR) = 0.626, 95% CI: 0.429-0.913, p = 0.015). The ROC curve analysis determined that an FT3 value of 2.785 pmol/L was the optimal prediction threshold. According to the threshold, ISR patients were divided into the FT3 < 2.785 group and the FT3 ≥ 2.785 group. The Kaplan‒Meier analysis revealed that the postoperative recurrence rate of MACEs of the FT3 < 2.785 group was substantially greater than that of the FT3 ≥ 2.785 group (Hazard Ratio (HR) = 0.76, 95% CI: 0.58-0.994, p = 0.044). Conclusions: FT3 can be used as an independent predictor of postoperative myocardial infarction, recurrent ISR and TVR in ISR patients. When FT3 is < 2.785 pmol/L, the incidence of postoperative myocardial infarction, recurrent ISR and TVR in ISR patients increases significantly.

Thirty-day and 5-year results of percutaneous coronary intervention for in-stent restenotic chronic total occlusion lesions: Data from 2,659 consecutive patients.

OBJECTIVES: To investigate the procedure success rate and clinical outcomes of in-stent restenotic chronic total occlusion (ISR-CTO) percutaneous coronary intervention (PCI). BACKGROUND: Few studies have reported the short- and long-term clinical outcomes of ISR-CTO PCI. METHOD: Patients who underwent ISR-CTO (n = 212) or de-novo CTO (n = 2,447) PCI at Fuwai Hospital from 2010 to 2013 were enrolled. Thirty-day and 5-year clinical outcomes were analyzed. The primary outcome was the incidence of all-cause death, myocardial infarction (MI), and heart failure at follow-up. The secondary outcome was the recanalization result (reasonable, suboptimal, or failed recanalization). RESULTS: ISR-CTO PCI had a higher rate of suboptimal recanalization than de-novo CTO PCI (p < .01). The syntax score before PCI (odds ratio (OR): 1.06; 95% confidence interval (CI): 1.02-1.10; p = .002) and occlusion length ≥ 20 mm (OR: 2.70:95% CI: 1.46-4.98; p = .001) were predictors of suboptimal recanalization in ISR-CTO PCI. Cardiac death (p = .03) and 30-day all-cause mortality (p = .05) were higher among patients who underwent ISR-CTO PCI. The ISR-CTO group had a higher rate of MI (p = .07) at 5 years. Suboptimal recanalization (hazard ratio: 2.56; 95% CI: 1.13-5.83; p = .025) was an independent predictor of long-term major adverse events in ISR-CTO. CONCLUSIONS: Suboptimal recanalization, 30-day cardiac death, and long-term MI rates are higher for ISR-CTO PCI than de-novo CTO PCI. Suboptimal recanalization is an independent predictor of long-term major adverse events after ISR-CTO PCI.

New insights into the cultivation of N, N-dimethylformamide-degrading methanogenic consortium: A long-term investigation on the variation of prokaryotic community inoculated with activated sludge.

The cultivation of the N, N-dimethylformamide (DMF)-degrading methanogenic consortium is considered difficult. In this study, an up-flow anaerobic sludge blanket (UASB) was inoculated with activated sludge in order to culture the DMF-degrading anaerobic sludge under a constant DMF concentration of approximately 2000 mg L-1. While the UASB realized a nearly 100% degradation of DMF and a high methane production of 1.03 L d-1 for the first two months, both the removal efficiency and methane production continued to decrease until the end. The characterization of the prokaryotic community reveals that those DMF-hydrolyzing bacteria (DHB) originating from the activated sludge were responsible for the effective degradation of DMF. However, even when fed with a constant concentration of DMF, the DHB kept decreasing all the time while methane-producing archaea were rapidly cultivated. The variation of prokaryotic community suggests that the DHB could not proliferate anaerobically without utilizing the intermediate products from the hydrolysis of DMF, resulting in an unstable DMF-degrading consortium. The cultivation of DHB under the anaerobic condition of the UASB was therefore difficult. The reason it was not possible to culture a DMF-degrading methanogenic consortium in this study is that the DHB are denitrifying bacteria which require nitrate for their cell growth under the anaerobic condition. The solution to maintain the abundance of these DHB is to add doses of nitrate into the system. Nitrate is likely to help these DHB recapture intermediates from methanogens, enabling them to perform a heterotrophic denitrification by using a small proportion of DMF as the carbon source while simultaneously maintaining the cell growth of DHB.

Predictive modeling based on artificial neural networks for membrane fouling in a large pilot-scale anaerobic membrane bioreactor for treating real municipal wastewater.

Membrane fouling is the primary obstacle to applying anaerobic membrane bioreactors (AnMBRs) in municipal wastewater treatment. This issue holds critical significance as efficient wastewater treatment serves as a cornerstone for achieving environmental sustainability. This study uses machine learning to predict membrane fouling, taking advantage of rapid computational and algorithmic advances. Based on the 525-day operation data of a large pilot-scale AnMBR for treating real municipal wastewater, regression prediction was realized using multilayer perceptron (MLP) and long short-term memory (LSTM) artificial neural networks under substantial variations in operating conditions. The models involved employing the organic loading rate, suspended solids concentration, protein concentration in extracellular polymeric substance (EPSp), polysaccharide concentration in EPS (EPSc), reactor temperature, and flux as input features, and transmembrane pressure as the prediction target output. Hyperparameter optimization enhanced the regression prediction accuracies, and the rationality and utility of the MLP model for predicting large-scale AnMBR membrane fouling were confirmed at global and local levels of interpretability analysis. This work not only provides a methodological advance but also underscores the importance of merging environmental engineering with computational advancements to address pressing environmental challenges.

Multi-Responsive Afterglows from Aqueous Processable Amorphous Polysaccharide Films.

Polymer-based room-temperature phosphorescence (RTP) materials, especially polysaccharide-based RTP materials, earn sustained attention in the fields of anti-counterfeiting, data encryption, and optoelectronics owing to their green regeneration, flexibility, and transparency. However, those with both ultralong phosphorescence lifetime and excitation wavelength-dependent afterglow are rarely reported. Herein, a kind of amorphous RTP material with ultralong lifetime of up to 2.52 s is fabricated by covalently bonding sodium alginate (SA) with arylboronic acid in the aqueous phase. The resulting polymer film exhibits distinguished RTP performance with excitation-dependent emissions from cyan to green. Specifically, by co-doping with other fluorescent dyes, further regulation of the afterglow color from cyan to yellowish-green and near-white can be achieved through triplet-to-singlet Förster resonance energy transfer. In addition, the water-sensitive properties of hydrogen bonds endow the RTP property of SA-based materials with water/heat-responsive characteristics. On account of the color-tunable and stimuli-responsive afterglows, these smart materials are successfully applied in data encryption and anti-counterfeiting.

Regulating Triplet Excitons of Organic Luminophores for Promoted Bioimaging.

Afterglow materials with organic room temperature phosphorescence (RTP) or thermally activated delayed fluorescence (TADF) exhibit significant potential in biological imaging due to their long lifetime. By utilizing time-resolved technology, interference from biological tissue fluorescence can be mitigated, enabling high signal-- to-background ratio imaging. Despite the continued emergence of individual reports on RTP or TADF in recent years, comprehensive reviews addressing these two materials are rare. Therefore, this review aims to provide a comprehensive overview of several typical molecular designs for organic RTP and TADF materials. It also explores the primary methods through which triplet excitons resist quenching by water and oxygen. Furthermore, we analyze the principal challenges faced by afterglow materials and discuss key directions for future research with the hope of inspiring developments in afterglow imaging.

Trimethyltin chloride induces oxidative damage and apoptosis in chicken liver.

Trimethyltin chloride (TMT) is widespread in the environment and is harmful to both humans and animals. In order to investigate the toxicity mechanism of TMT exposure on chicken liver, We established an in vivo experimental model by giving chickens oral administration of different concentrations of TMT dilution solution and vitro experiments of treating leghorn male hepatoma (LMH) cells for 12 h. The results showed that Albumin (ALB), total protein (TP) and alanine aminotransferase (ALT) in the blood of TMT-treated chickens, as well as ALT and aspartate aminotransferase (AST) in the liver, were dose-dependently increased, and different degrees of necrosis of hepatocytes were observed in histology. Meanwhile, TMT exposure led to a significant decrease in glutathione (GSH) content in chicken liver tissues and LMH cells, what's more a significant increase in malondialdehyde (MDA) content in cell supernatants. The expression of apoptosis-related genes Caspase8, Caspase3 and Caspase9 were increased in chicken liver tissues and LMH cells after treated by TMT, and an increased in the percentage of late apoptosis in LMH cells. This suggests that TMT can cause oxidative stress and apoptosis in chicken livers and cells, resulting in liver injury.

Cardiovascular comorbidities and their prognostic value in small cell lung cancer patients with chemoradiotherapy.

BACKGROUND: Small cell lung cancer (SCLC) is an extremely malignant subtype of lung cancer because of its high potential for metastases. Cardiac invasion of SCLC is a serious concern that may lead to systemic embolism or tract obstruction. It has aroused much concern that cardiovascular comorbidities may significantly affect the survival of SCLC patients and their treatment decisions. METHODS: We consecutively recruited 772 small cell lung cancer (SCLC) patients between January 2011 and December 2018 from 4 cancer specialty hospitals in China. Only newly diagnosed primary cancer inpatients were included. Univariable and multivariable adjusted Cox proportional hazard models were conducted to evaluate the risk factors associated with mortality. Hazard ratios (HRs) for mortality and corresponding 95% confidence intervals (95% CIs) were calculated. RESULTS: The prevalence of cardiovascular diseases (CVDs) was 34.6% in all SCLC patients. Log-rank analysis presented statistically significant differences in median survival time (MST) between patients with CVD and without CVD in all SCLC patients (9.0 months vs. 15.0 months, P = 0.005) and patients with chemotherapy only (12.0 months vs. 18.0 months, P = 0.048). Pericardial effusion (HR 1.671, 95% CI 1.082-2.580, P = 0.021) and heart failure (HR 1.752, 95% CI 1.290-2.379, P < 0.001) were independent risk factors associated with mortality in all SCLC patients. VTE is related to poorer prognosis in patients with chemotherapy only (HR 5.558, 95% CI 1.335-23.135, P = 0.018) and chemoradiotherapy (HR 3.057, 95% CI 1.270-7.539, P = 0.013). CONCLUSIONS: Comprehensive management of CVD comorbidities is of vital importance for the long-term prognosis of SCLC patients.

The triglyceride-glucose index is a predictor of major adverse cardiovascular events in patients with coronary artery disease and psoriasis: a retrospective cohort study.

BACKGROUND: The association between the triglyceride-glucose (TyG) index and clinical outcomes in patients with both coronary artery disease (CAD) and psoriasis is unclear. This study investigated the association between the TyG index and major adverse cardiovascular events (MACE) in patients with both CAD and psoriasis. METHODS: This retrospective cohort study included patients diagnosed with both CAD and psoriasis who underwent coronary angiography at the Fuwai Hospital, Beijing, China, between January 2017 and May 2022. The study endpoint was the occurrence of MACE or end of follow-up time. Multivariate Cox proportional analysis and restricted cubic splines (RCS) were used to determine the association between the TyG index and MACE. Receiver operating characteristic (ROC) curves were used to determine the optimal threshold value of the TyG index for predicting MACE. RESULTS: This study enrolled 293 patients with both CAD and psoriasis, including 258 (88.1%) males with a mean age of 58.89 ± 9.61 years. Patients were divided into four groups based on the TyG quartiles: Q1 (N = 74), Q2 (N = 73), Q3 (N = 73), and Q4 (N = 73). After adjusting for the potential confounders, the TyG index was independently associated with MACE, both as a continuous variable (HR = 1.53, 95% CI = 1.03-2.28, P = 0.035) and as a categorical variable (Q1: reference; Q2: HR = 1.85, 95% CI = 0.88-3.87, P = 0.105; Q3: HR = 2.39, 95% CI = 1.14-5.00, P = 0.021; Q4: HR = 2.19, 95% CI = 1.001-4.81, P = 0.0497; P for trend = 0.039). RCS analysis showed an linear association between the TyG index and MACE (P-overall = 0.027, P-non-linear = 0.589). ROC curve analysis showed that the TyG index of ≥ 8.73 was the optimal threshold value (area under the ROC curve = 0.60, 95% CI 0.53-0.67). TyG index ≥ 8.73 was significantly associated with MACE (HR = 2.10, 95% CI = 1.32-3.34, P = 0.002). After adjustment for confounders, the TyG index showed independent association with MACE (HR = 2.00, 95% CI = 1.17-3.42, P = 0.011). CONCLUSIONS: The TyG index showed a positive linear correlation with MACE in patients with both CAD and psoriasis. The TyG index of ≥ 8.73 might be the optimal threshold for predicting MACE.

Development and validation of a risk score nomogram model to predict the risk of 5-year all-cause mortality in diabetic patients with hypertension: A study based on NHANES data.

Background: The present study aimed to develop and validate a prediction nomogram model for 5-year all-cause mortality in diabetic patients with hypertension. Methods: Data were extracted from the National Health and Nutrition Examination Survey (NHANES). A total of 3291 diabetic patients with hypertension in the NHANES cycles for 1999-2014 were selected and randomly assigned at a ratio of 8:2 to the training cohort (n = 2633) and validation cohort (n = 658). Multivariable Cox regression was conducted to establish a visual nomogram model for predicting the risk of 5-year all-cause mortality. Receiver operating characteristic curves and C-indexes were used to evaluate the discriminant ability of the prediction nomogram model for all-cause mortality. Survival curves were created using the Kaplan-Meier method and compared by the log-rank test. Results: The nomogram model included eight independent predictors: age, sex, education status, marital status, smoking, serum albumin, blood urea nitrogen, and previous cardiovascular disease. The C-indexes for the model in the training and validation cohorts were 0.76 (95% confidence interval: 0.73-0.79, p < 0.001) and 0.75 (95% confidence interval: 0.69-0.81, p < 0.001), respectively. The calibration curves indicated that the model had satisfactory consistency in the two cohorts. The risk of all-cause mortality gradually increased as the tertiles of the nomogram model score increased (log-rank test, p < 0.001). Conclusion: The newly developed nomogram model, a readily useable and efficient tool to predict the risk of 5-year all-cause mortality in diabetic patients with hypertension, provides a novel risk stratification method for individualized intervention.

The role of residual inflammatory risk and LDL cholesterol in patients with in-stent restenosis undergoing percutaneous coronary intervention.

BACKGROUND: To evaluate the relationships between residual inflammatory risk [assessed by high-sensitivity C-reactive protein (hsCRP)], residual cholesterol risk [assessed by low-density lipoprotein cholesterol (LDL-C)] and clinical outcomes among patients who underwent percutaneous coronary intervention (PCI) for in-stent restenosis (ISR) lesions. METHODS: Between January 2017 and December 2018, a total of 2079 patients who underwent PCI for ISR were consecutively enrolled. The primary outcome was the rate of major adverse cardiac events (MACE), defined as a composite endpoint of all-cause death, spontaneous myocardial infarction (MI), or repeat revascularization. RESULTS: During a median follow-up of 36 months, 436 MACEs occurred. Baseline hsCRP was significantly associated with MACE (highest versus lowest quartile, adjusted hazard ratio [aHR] 1.90 [95 % CI, 1.39-2.59]; P < 0.001). By contrast, the baseline LDL-C quartile was not associated with MACE (highest versus lowest quartile, aHR 0.93 [95 % CI, 0.71- 1.22]; P = 0.59). Compared with patients without residual risk (hsCRP <2 mg/L and LDL-C < 70 mg/dL), participants with both residual inflammatory and LDL-C risk (hsCRP ≥2 mg/L and LDL-C ≥ 70 mg/dL) (aHR, 1.39 [95 % CI, 1.06-1.83]; P = 0.02) and those with residual inflammatory risk only (hsCRP ≥2 mg/L and LDL-C < 70 mg/dL) (aHR, 1.34 [95 % CI, 1.01-1.72]; P = 0.04) had significantly higher risks of MACE. CONCLUSIONS: In the current cohort of patients after ISR PCI, inflammation assessed by hsCRP predicted higher risk of adverse clinical outcomes, whereas the level of LDL-C was not associated with adverse prognosis.

SpatialDM for rapid identification of spatially co-expressed ligand-receptor and revealing cell-cell communication patterns.

Cell-cell communication is a key aspect of dissecting the complex cellular microenvironment. Existing single-cell and spatial transcriptomics-based methods primarily focus on identifying cell-type pairs for a specific interaction, while less attention has been paid to the prioritisation of interaction features or the identification of interaction spots in the spatial context. Here, we introduce SpatialDM, a statistical model and toolbox leveraging a bivariant Moran's statistic to detect spatially co-expressed ligand and receptor pairs, their local interacting spots (single-spot resolution), and communication patterns. By deriving an analytical null distribution, this method is scalable to millions of spots and shows accurate and robust performance in various simulations. On multiple datasets including melanoma, Ventricular-Subventricular Zone, and intestine, SpatialDM reveals promising communication patterns and identifies differential interactions between conditions, hence enabling the discovery of context-specific cell cooperation and signalling.

Serum total bilirubin and one-year prognosis of patients with coronary artery disease and psoriasis.

To evaluate the potential predictive value of total bilirubin (TBIL) for one-year prognosis in patients with coronary artery disease (CAD) and psoriasis. 278 psoriasis patients who underwent coronary angiography and were diagnosed as CAD were recruited. Baseline TBIL was measured at admission. Patients were divided into three groups according to the third tertiles of TBIL. The coronary angiography showed that lower TBIL was associated with the severity of lesion calcification. After a mean follow-up of 315 days, major adverse cardiac and cerebrovascular events (MACCEs) were reported in 61 patients. Compared with patients with higher TBIL tertiles, the incidence of MACCEs increased significantly in patients with middle and lower TBIL tertiles. The incidence of MACCEs in one-year follow-up was significantly different between higher and lower tertiles. The findings indicate that decreased TBIL is a potential predictor of poor prognosis in patients with psoriasis and CAD.

The phosphorus harvest from low-temperature mainstream wastewater through iron phosphate crystallization in a pilot-scale partial nitritation/anammox reactor.

The phosphorus harvest along nitrogen removal in the partial nitritation/anammox (PNA) reactor is promising for saving space and simplifying the management of mainstream wastewater treatment facilities. In this study, the phosphorus recovery from the low-temperature mainstream wastewater was explored through iron phosphate crystallization in a pilot-scale PNA reactor. With the COD-alleviated municipal wastewater as the influent, the ammonium concentration of about 50 mg/L and the phosphorus concentration ranged from 5.4 to 7.1 mg/L, under the temperature of 15 °C and the addition of external ferrous iron of 14 mg/L, the achieved nitrogen removal efficiency and the phosphorus removal efficiency were 37.6 % and 62.7 %, respectively. The good settleability of sludge indicated that the formed iron phosphate was well combined with the biomass. The quantitative analysis confirmed that the main iron phosphate in dry sludge was graftonite, and qualitative analysis confirmed that the equivalent of P2O5 content in the sludge was 5.8 %, which was suitable as fertilizer on agricultural land to realize the direct recycle of discharged phosphorus. In all, this study proposed a pioneering scheme to realize the nitrogen removal and phosphorus cycle in human society and given a meaningful reference for further research and application.

Effects of Metabolic Syndrome on Cardiovascular Outcomes of Psoriatic Patients with Coronary Artery Disease: A Single Center Retrospective Cohort Study.

Background: Psoriasis is associated with an increased prevalence of cardiovascular risk factors, including metabolic syndrome (MetS). To date, it is unclear whether MetS causes differences in cardiovascular outcomes in psoriatic patients with coronary artery disease. Methods: We conducted a retrospective cohort study to determine the effects of MetS in psoriatic patients with coronary artery disease. Comparisons were made between patients with and without MetS. Cox regression analysis and Kaplan-Meier survival analysis were used to evaluate the association between variables. Results: Of the 307 psoriatic patients with coronary artery disease, 94 met criteria (30.6%) for MetS. Individuals with MetS were more likely to be female (p <0.001). Levels of platelet counts and high-sensitivity C-reactive protein were higher in the MetS group (p = 0.038 and 0.005, respectively). After a mean follow-up of 35.32 months, major adverse cardiovascular events (MACEs) and non-fatal myocardial infarction were more likely in the MetS than the non-MetS group (33.3% vs 20.6%, p = 0.02; 26.4% vs 15.7%, p = 0.032, respectively). Kaplan-Meier estimates showed the same trend. Cox regression analysis showed that MetS (hazard ratio 1.738; 95% confidence interval 1.045-2.891; p = 0.033) and left ventricular ejection fraction (hazard ratio 0.968; 95% confidence interval 0.945-0.991; p = 0.006) were associated with an increased risk of MACEs. Conclusion: In psoriatic patients with coronary artery disease, MetS independently predicted MACEs. In addition, left ventricular ejection fraction was negatively associated with an increased risk of MACEs. To reduce the cardiovascular disease risk, it is necessary to increase awareness of MetS in psoriatic patients with coronary artery disease.

Drug-eluting stent and drug-coated balloon for the treatment of de novo diffuse coronary artery disease lesions: A retrospective case series study.

BACKGROUND: The hybrid strategy of a combination of drug-eluting stent (DES) and drug-coated balloon (DCB) is promising for the treatment of de novo diffuse coronary artery disease (CAD). HYPOTHESIS: To investigate the efficacy and functional results of hybrid strategy. METHODS: This case series study included patients treated with a hybrid approach for de novo diffuse CAD between February 2017 and November 2021. Postprocedural quantitative flow ratio (QFR) was used to evaluate the functional results. The primary endpoint was procedural success rate. The secondary endpoints were major adverse cardiovascular events (MACE) including cardiac death, myocardial infarction (MI) (including peri-procedural MI), and target vessel revascularization. RESULTS: A total of 109 patients with 114 lesions were treated. DES and DCB were commonly used in larger proximal segments and smaller distal segments, respectively. The mean QFR value was 0.9 ± 0.1 and 105 patients (96.3%) had values >0.8 in all the treated vessels. Procedural success was achieved in 106 (97.2%) patients. No cases of cardiac death were reported at a median follow-up of 19 months. Spontaneous MI occurred in three (2.8%) patients and target vessel revascularization in six (5.5%) patients. Estimated 2-year rate of MACE excluding peri-procedural MI was higher in the group with lower QFR value (12.1 ± 5.7% vs. 5.6 ± 4.4%, log-rank p = .035) (cut-off value 0.9). CONCLUSION: Hybrid strategy is a promising approach for the treatment of de novo diffuse CAD. Postprocedural QFR has some implications for prognosis and may be helpful in guiding this approach.

Comparison of Recurrent With First-Time In-Stent Restenosis.

Recurrent in-stent restenosis (Re-ISR) remains a therapeutic challenge. We aimed to investigate the clinical characteristics, treatment, and long-term outcomes in patients with Re-ISR compared with those with first-time ISR (First-ISR). This retrospective study consecutively enrolled patients who underwent percutaneous coronary intervention (PCI) for ISR in Fuwai Hospital between January 2017 and December 2018. Re-ISR was defined as a second event of ISR after a previous successful treatment of the ISR lesion. The primary outcome was defined as a composite of all-cause death, spontaneous myocardial infarction, and repeat revascularization. A total of 2,006 patients (2,154 lesions) with ISR underwent successful PCI were enrolled and categorized into 2 groups: the Re-ISR group (246 patients/259 lesions) and the First-ISR group (1,760 patients/1,895 lesions). During a mean follow-up of 36 months, the primary outcomes occurred in 80 patients (32.5%) in the Re-ISR group and 349 patients (19.3%) in the First-ISR group (p <0.001 by log-rank test), major driven by spontaneous myocardial infarction (4.9% vs 2.7%, p = 0.049) and repeat revascularization (30.1% vs 16.5%, p <0.001). The multivariable Cox regression analysis revealed that Re-ISR was independently associated with a higher rate of major adverse cardiovascular events (adjusted hazard ratio 1.88, 95% confidence interval 1.39 to 2.53, p <0.001) and repeated revascularization (adjusted hazard ratio 2.09, 95% confidence interval 1.53 to 2.84, p <0.001). The relation remained consistent after the propensity score analysis. In conclusion, in the present cohort of patients who underwent PCI for ISR, Re-ISR was significantly associated with a higher risk of long-term outcomes than First-ISR.