Direct prediction of antimicrobial resistance in Pseudomonas aeruginosa by metagenomic next-generation sequencing.

Objective: Pseudomonas aeruginosa has strong drug resistance and can tolerate a variety of antibiotics, which is a major problem in the management of antibiotic-resistant infections. Direct prediction of multi-drug resistance (MDR) resistance phenotypes of P. aeruginosa isolates and clinical samples by genotype is helpful for timely antibiotic treatment. Methods: In the study, whole genome sequencing (WGS) data of 494 P. aeruginosa isolates were used to screen key anti-microbial resistance (AMR)-associated genes related to imipenem (IPM), meropenem (MEM), piperacillin/tazobactam (TZP), and levofloxacin (LVFX) resistance in P. aeruginosa by comparing genes with copy number differences between resistance and sensitive strains. Subsequently, for the direct prediction of the resistance of P. aeruginosa to four antibiotics by the AMR-associated features screened, we collected 74 P. aeruginosa positive sputum samples to sequence by metagenomics next-generation sequencing (mNGS), of which 1 sample with low quality was eliminated. Then, we constructed the resistance prediction model. Results: We identified 93, 88, 80, 140 AMR-associated features for IPM, MEM, TZP, and LVFX resistance in P. aeruginosa. The relative abundance of AMR-associated genes was obtained by matching mNGS and WGS data. The top 20 features with importance degree for IPM, MEM, TZP, and LVFX resistance were used to model, respectively. Then, we used the random forest algorithm to construct resistance prediction models of P. aeruginosa, in which the areas under the curves of the IPM, MEM, TZP, and LVFX resistance prediction models were all greater than 0.8, suggesting these resistance prediction models had good performance. Conclusion: In summary, mNGS can predict the resistance of P. aeruginosa by directly detecting AMR-associated genes, which provides a reference for rapid clinical detection of drug resistance of pathogenic bacteria.

Construction and Validation of a Prognostic Model Based on Mitochondrial Genes in Prostate Cancer.

This study attempted to build a prostate cancer (PC) prognostic risk model with mitochondrial feature genes. PC-related MTGs were screened for Cox regression analyses, followed by establishing a prognostic model. Model validity was analyzed via survival analysis and receiver operating characteristic (ROC) curves, and model accuracy was validated in the GEO dataset. Combining risk score with clinical factors, the independence of the risk score was verified by using Cox analysis, followed by generating a nomogram. The Gleason score, microsatellite instability (MSI), immune microenvironment, and tumor mutation burden were analyzed in two risk groups. Finally, the prognostic feature genes were verified through a q-PCR test. Ten PC-associated MTGs were screened, and a prognostic model was built. Survival analysis and ROC curves illustrated that the model was a good predictor for the risk of PC. Cox regression analysis revealed that risk score acted as an independent prognostic factor. The Gleason score and MSI in the high-risk group were substantially higher than in the low-risk group. Levels of ESTIMATE Score, Immune Score, Stromal Score, immune cells, immune function, immune checkpoint, and immunopheno score of partial immune checkpoints in the high-risk group were significantly lower than in the low-risk group. Genes with the highest mutation frequencies in the two groups were SPOP, TTN, and TP53. The q-PCR results of the feature genes were consistent with the gene expression results in the database. The 10-gene model based on MTGs could accurately predict the prognosis of PC patients and their responses to immunotherapy.

Forecasting carbon prices in China's pilot carbon market: A multi-source information approach with conditional generative adversarial networks.

In recent years, the Chinese government has actively pursued the implementation of its 'dual-carbon' strategy, concurrently establishing a national carbon emissions trading market. Accurate carbon price forecasts have become essential for policymakers and investors involved in related initiatives. Nevertheless, influenced by the interaction of various information sources, carbon trading prices exhibit non-linear and non-stationary characteristics, posing challenges for accurate prediction. Current research, centered around deep learning models, predominantly emphasizes intricate network structures, optimisation algorithms, and data decomposition. However, these models face a developmental bottleneck in extracting carbon price features and efficiently leveraging multi-source information. Consequently, novel ideas and methodologies are imperative. This study focuses on the Hubei and Guangdong regional carbon markets as research subjects. It develops a prediction framework based on a generative adversarial network model to capture the time-series change characteristics of carbon trading prices and the condition matrix. First, a generator prediction model is used to obtain the input matrix features and extract the time series features through a complex network to predict the carbon price data at the next moment using a fully connected layer. Second, a discriminator is utilised to distinguish between the actual values and the predicted values. The generator and the discriminator undergo continuous iterative training and alternate optimisation. This process aims to bring the generated prediction distributions closer to the actual sample data, resulting in more accurate final predictions. The empirical results convincingly show that the proposed model achieves unparalleled forecasting precision in both markets. The proposed model demonstrates the lowest MAE (0.804 and 0.839), lowest MAPE (0.023 and 0.018), lowest RMSE (1.174 and 1.383), and highest R2 (0.971 and 0.989) across both markets, indicating superior predictive accuracy. Additionally, the proposed model consistently outshines traditional forecasting approaches across one-step, five-step, and ten-step forecasts, affirming its robustness and universal applicability in modelling carbon trading price series. The findings suggest that this study can aid policymakers in optimizing the carbon pricing system. Furthermore, it offers a reference for policymakers to comprehensively leverage external factors, such as regulating traditional energy prices, leveraging international carbon market experiences, and monitoring economic dynamics. This comprehensive strategy can streamline the exploration and management of carbon price fluctuations, ultimately strengthening the carbon market's risk control system.

Non-intestinal-type adenocarcinoma of the nasal cavity and paranasal sinuses: an analysis of clinical characteristics and prognosis.

BACKGROUND: Non­intestinal adenocarcinoma of the nasal cavity and paranasal sinuses (non­ITAC) is a heterogeneous tumour that has rarely been reported in previous studies. We compared and analysed the symptoms, radiographic and pathological features, treatment methods, and prognosis of patients with low-grade (G1) and high-grade (G3) tumours. METHODS: This was a retrospective study included 22 patients with pathologically confirmed non-ITAC of the nasal cavity and paranasal sinuses who were treated between January 2008 and December 2021 at a single centre. Of these, 11 patients had G1 tumours, and 11 patients had G3 tumours. Clinicopathological features, treatment methods, and survival outcomes were analysed. RESULTS: The median follow-up period was 48.5 months. Nasal congestion was the most common initial symptom, and the nasal cavity was the most frequently involved site. For G1 tumours, the main treatment was simple surgery, 1 and 3­year overall survival (OS) rates were 100 and 88.9%, while the 1 and 3­year local control (LC) rates were 100 and 100%, respectively. For G3 tumours, the main treatments were surgery combined with radiotherapy and/or chemotherapy,1 and 3­year OS rates were 72.7 and 72.7%, while the 1 and 3­year LC rates were 100 and 90.91%, respectively. G3 tumours was associated with significantly shorter overall survival than G1 tumours (P = 0.035). Patients with stage III-IV showed shorter overall survival compared to stage I-II patients (P = 0.035). CONCLUSIONS: Non-ITAC of the nasal cavity and paranasal sinuses may frequently occur in the nasal cavity. The main treatment modality is surgery, supplemented by radiotherapy and chemotherapy. Pathological grade and tumour stage were poor prognostic factors for the disease.

Synergistic Effects and Kinetic Analysis in Co-Pyrolysis of Peanut Shells and Polypropylene.

The impact of COVID-19 has boosted growth in the takeaway and medical industries but has also generated a large amount of plastic waste. Peanut shells (PS) are produced in large quantities and are challenging to recycle in China. Co-pyrolysis of peanut shells (PS) and polypropylene (PP) is an effective method for processing plastic waste and energy mitigation. Thermogravimetric analysis was conducted on PS, PP, and their blends (PS-PP) at different heating rates (10, 20, 30 °C·min-1). The results illustrated that the co-pyrolysis process of PS-PP was divided into two distinct decomposition stages. The first stage (170-400 °C) was predominantly linked to PS decomposition. The second stage (400-520 °C) resulted from the combinations of PS and PP's thermal degradations, with the most contribution from PP degradation. With the increase in heating rate, thermogravimetric hysteresis appeared. Kinetic analysis indicated that the co-pyrolysis process reduced the individual pyrolysis activation energy, especially in the second stage, with a correlation coefficient (R2) generally maintained above 0.95. The multi-level reaction mechanism function model can effectively reveal the co-pyrolysis process mechanism. PS proved to be high-quality biomass for co-pyrolysis with PP, and all mixtures exhibited synergistic effects at a mixing ratio of 1:1 (PS1-PP1). This study accomplished effective waste utilization and optimized energy consumption. It holds significance in determining the interaction mechanism of mixed samples in the co-pyrolysis process.

Predictive effect of estimated glomerular filtrate rate by creatinine or cystatin C on mortality in patients with coronary artery disease.

BACKGROUND: Renal dysfunction leads to poor prognosis of patients with coronary artery disease (CAD). Current studies have reported the prognosis or mortality of various diseases using different estimated glomerular filtrate rate (eGFR) formulas, while the performance of these equations is unclear in CAD patients. We aim to evaluate the predict effect of creatinine-based eGFR (eGFRcr), cystatin C-based eGFR (eGFRcys), and both creatinine and cystatin C-based eGFR (eGFRcr-cys) in CAD patients. METHODS: A total of 23,178 patients with CAD were included from CIN-II cohort study. The association of eGFRcr, eGFRcys and eGFRcr-cys with cardiovascular and all-cause mortality was detected by Cox regression analysis. The predictive effect of eGFRcr, eGFRcys and eGFRcr-cys on mortality was assessed. RESULTS: During a median follow up of 4.3 years, totally 2051 patients (8.8%) experience all-cause mortality, of which 1427 patients (6.2%) died of cardiovascular disease. For the detection of cardiovascular mortality among CAD patients, eGFRcr-cys had high discriminatory capacity with area under the curve (AUC) in receiver operator characteristic analysis of 0.730, which was significantly better than eGFRcr (AUC = 0.707, p < 0.001) and eGFRcys (AUC = 0.719, p < 0.001). Similar results were observed in all-cause mortality. Restricted cubic spline showed a U-shaped association between eGFRcr and all outcomes in patients with both reduced and supranormal eGFR levels, while a L-shaped association in eGFRcys and eGFRcr-cys. CONCLUSIONS: Estimated GFR based on both creatinine and cystatin C has highest predictive effect for cardiovascular and all-cause mortality among CAD patients. Meanwhile, supranormal eGFRcr may indicate a higher risk of mortality.

Impact of stapler versus manual closure techniques on pharyngocutaneous fistula development post-total laryngectomy: A systematic review and meta-analysis.

Pharyngocutaneous fistula (PCF) is a major complication after total laryngectomy, with significant morbidity and mortality. Whether mechanical stapler closure of the pharynx reduces fistula rates compared to hand-sewn techniques remains unclear. We conducted an updated systematic review and meta-analysis to clarify this question. Five databases were systematically searched from inception through November 2023 for studies comparing stapler versus suture closure for fistula outcomes after laryngectomy. Odds ratios (OR) were pooled using random-effects models and fixed-effects models. Subgroup and sensitivity analyses were performed. Risk of bias was appraised using NHLBI tools. Nine studies with 803 patients were included. Mechanical closure significantly reduced fistula incidence versus suture closure (OR = 0.57, 95% CI 0.34-0.95, p = 0.03). Subgroup analysis found that stapling's protective effect varied by patient age, country/region, linear stapler size and female percentage. Stapling reduced fistula odds by 80% in the Turkey subgroup (OR = 0.20, 95% CI 0.09-0.50) but showed no benefit in other regions. Patients <60 years showed an 84% fistula reduction with stapling (OR = 0.17, 95% CI 0.06-0.45), whereas older subgroups did not. Linear stapler size of 60 mm significantly reduced fistula occurrence while 75 mm did not. There was no evidence that low female percentage mitigated stapling benefits. Mechanical stapler closure after total laryngectomy meaningfully reduces the likelihood of postoperative PCF formation compared to hand-sewn closure, especially for patients younger than 60 years old. The absolute risk reduction supports its utility to prevent this complication.

Efficacy and Mechanism of Hypofractionation Radiotherapy Combined with PD-1 Inhibitors in a Model of Head and Neck Melanoma.

Head and neck mucosal melanoma is one of the most common types of melanoma in China, but the prognosis is worse than other types, and there is no effective treatment plan to improve patient survival. This study analyzes the efficacy of hypofractionation radiotherapy combined with PD-1 inhibitor in the treatment of head and neck mucosal melanoma, as well as its impact on the tumor immune microenvironment. NPSG mice were used to construct a humanized bilateral lesion tumor model of the humanized immune system. The models were divided into an RT (8 Gy)+anti PD-1 group, an RT (2 GyX4)+anti PD-1 group, an Anti PD-1 group, an RT (8 Gy) group, and a blank group. Differences in efficacy and immune cells in blood, lymph nodes, and tumor tissues were compared between different treatment groups. The treatment effect of RT (8 Gy)+anti PD-1 was better than the other groups with a tumor growth inhibition value (TGI) over 60%. Significant recruitment and activation of CD8+T cells were found in the blood, lymph nodes, and tumor tissues and significantly inhibited the level of PD-1+CD8+T cells in the group of RT (8 Gy)+anti PD-1. This study confirmed the efficacy of hypofractionation radiotherapy combined with PD-1 inhibitors, which can inhibit tumor growth and produce distant effects. The appearance of a distant effect is related to the enhancement in the number and activity of CD8+T cells in the local tumor and peripheral blood and lymph nodes. This study confirms the therapeutic and immune regulatory effect of hypofractionation radiotherapy combined with PD-1 inhibitors.

Iron-modified biochar effectively mitigates arsenic-cadmium pollution in paddy fields: A meta-analysis.

The escalating problem of compound arsenic (As) and cadmium (Cd) contamination in agricultural soils necessitates the urgency for effective remediation strategies. This is compounded by the opposing geochemical behaviors of As and Cd in soil, and the efficacy of biochar treatment remains unclear. This pioneering study integrated 3780 observation pairs referred from 92 peer-reviewed articles to investigate the impact of iron-modified biochar on As and Cd responses across diverse soil environments. Regarding the treatments, 1) biochar significantly decreased the exchangeable and acid-soluble fraction of As (AsF1, 20.9%) and Cd (CdF1, 24.0%) in paddy fields; 2) iron-modified biochar significantly decreased AsF1 (32.0%) and CdF1 (27.4%); 3) iron-modified biochar in paddy fields contributed to the morphological changes in As and Cd, mainly characterized by a decrease in AsF1 (36.5%) and CdF1 (36.3%) and an increase in the reducible fraction of As (19.7%) and Cd (39.2%); and 4) iron-modified biochar in paddy fields increased As (43.1%) and Cd (53.7%) concentrations in the iron plaque on root surfaces. We conclude that iron-modified biochar treatment of paddy fields is promising in remediating As and Cd contamination by promoting the formation of iron plaque.

Identification and validation of a T cell marker gene-based signature to predict prognosis and immunotherapy response in gastric cancer.

Although the role of T cells in tumor immunity and modulation of the tumor microenvironment (TME) has been extensively studied, their precise involvement in gastric adenocarcinoma remains inadequately explored. In this work, we analyzed the single-cell RNA sequencing data set in GSE183904 and identified 322 T cell marker genes using the "FindAllMarkers" method of the R package "Seurat". STAD patients in the TCGA database were divided into high-risk and low-risk categories based on risk scores. The five-gene prediction signature based on T cell marker genes can predict the prognosis of gastric cancer patients with high accuracy. In the training cohort, the areas under the receiver operating characteristic (ROC) curve were 0.667, 0.73, and 0.818 at 1, 3, and 5 years. External validation of the predictive signature was also performed using multiple clinical subgroups and GEO cohorts. To help with practical application, a diagnostic model was created that shows values of 0.732, 0.752, and 0.816 for the relevant areas under the ROC curve at 1, 3, and 5 years. The T cell marker genes identified in this study may serve as potential therapeutic targets, and the developed predictive signatures and nomograms may aid in the clinical management of gastric cancer.

Washing antimony and arsenic from agricultural soil with eco-friendly organic acids and the relevant bioavailability assessment.

Antimony (Sb) and arsenic (As) contamination in agricultural soil poses human health risks through agricultural products. Soil washing with degradable low molecular weight organic acids (LMWOAs) is an eco-friendly strategy to remediate agricultural soils. In this study, three eco-friendly LMWOAs, oxalic acid (OA), tartaric acid (TA), and citric acid (CA), were used to treat Sb and As co-contaminated agricultural soil from Xikuangshan mine area. The OA, TA, and CA washed out 18.4, 16.8, and 26.6% of Sb and 15.3, 19.9, and 23.8% of As from the agricultural soil, with CA being the most efficient reagent for the soil washing. These organic acids also led to pH decline and macronutrients losses. Fraction analysis using a sequential extraction procedure showed that the three organic acids targeted and decreased the specifically sorbed (F2) (by 19.3-37.6% and 2.41-23.5%), amorphous iron oxide associated (F3) (by 49.1-61.2% and 51.2-70.2%), and crystallized iron oxide associated (F4) (by 12.3-26.0% and 26.1-29.1%) Sb and As. The leachability of Sb and As, as well as their concentrations and bioconcentration factor (BCF) in vegetables reduced due to the soil washing. It demonstrated that the bioavailability of both the elements was decreased by the organic acids washing. The concentrations of Sb and As in typical vegetable species cultivated in CA washed soil were less than the threshold value for consumption safety, while those in OA and TA washed soils were still higher than the value, suggesting that only CA is a potential washing reagent in soil washing for Sb- and As-contaminated agricultural soil.

Addressing implicit bias in adversarial imitation learning with mutual information.

Adversarial imitation learning (AIL) is a powerful method for automated decision systems due to training a policy efficiently by mimicking expert demonstrations. However, implicit bias is present in the reward function of these algorithms, which leads to sample inefficiency. To solve this issue, an algorithm, referred to as Mutual Information Generative Adversarial Imitation Learning (MI-GAIL), is proposed to correct the biases. In this study, we propose two guidelines for designing an unbiased reward function. Based on these guidelines, we shape the reward function from the discriminator by adding auxiliary information from a potential-based reward function. The primary insight is that the potential-based reward function provides more accurate rewards for actions identified in the two guidelines. We compare our algorithm with SOTA imitation learning algorithms on a family of continuous control tasks. Experiments results show that MI-GAIL is able to address the issue of bias in AIL reward functions and further improve sample efficiency and training stability.

Erratum: Author correction to 'Amino-functionalized poloxamer 407 with both mucoadhesive and thermosensitive properties: Preparation, characterization and application in vaginal drug delivery system' [Acta Pharm Sin B 7 (2017) 593-602].

[This corrects the article DOI: 10.1016/j.apsb.2017.03.002.].

Correction: Ci et al. Enhanced Delivery of Imatinib into Vaginal Mucosa via a New Positively Charged Nanocrystal-Loaded in Situ Hydrogel Formulation for Treatment of Cervical Cancer. Pharmaceutics 2019, 11, 15.

In the original publication [...].

Preparation and Characterization of Biomass Tannin-Based Flexible Foam Insoles for Athletes.

The exploitation of bio-based foams implies an increase in the use of renewable biological resources to reduce the rapid consumption of petroleum-derived resources. Both tannins and furfuryl alcohol are derived from forestry resources and are, therefore, considered attractive precursors for the preparation of tannin-furanic foams. In addition, toughening modification of tannin-furanic foams using polyvinyl alcohol (PVOH) results in a more flexible network-like structure, which imparts excellent flexibility to the foams, whose relative properties are even close to those of polyurethane foams, which are the most used for fabrication of insoles for athletes. In addition, the addition of PVOH does not affect the thermal insulation properties of the foams by testing the thermal conductivity, resilience, and elongation at break, while reducing the brittleness of the samples and improving the mechanical properties. Also, the observation of the morphology of the foam shows that the compatibility between PVOH and tannin-furanic resin is good, and the cured foam does not show fragmentation and collapse, while the bubble pore structure is uniform. The developed flexible foam derived from biomass resources endows the foam with good thermal insulation properties and high mechanical properties, and the samples exhibit suitable physical parameters to be used as flexible insoles for athletes.

[The application of transcervical non-inflatable endoscopic posterior inferior sternocleidomastoid approach in thyroid surgery].

Objective:To investigate the clinical efficacy and safety of transcervical non-inflatable endoscopic thyroidectomy through the posterior inferior sternocleidomastoid approach. Methods:From December 2022 to May 2023, the clinical data of 35 patients with papillary thyroid carcinoma treated by transcervical non-inflatable endoscopic surgery via posterior inferior sternocleidomastoid approach were retrospectively analyzed. There were 14 males and 21 females, with an average age of 44.7 years. The operation time, bleeding volume, postoperative recovery, complications and follow-up were recorded. Results:All 35 patients successfully completed the surgery, with an average operation time of 4 hours and 7 minutes, an average bleeding volume of 14 ml, and an average postoperative hospital stay of 3.5 days. There were no serious complications and no obvious neck discomfort during postoperative follow-up. Conclusion:Transcervical non-inflatable endoscopic thyroidectomy via posterior inferior sternocleidomastoid approach is safe and effective, with fast postoperative recovery,high appearance satisfaction and good neck comfort.

Genetic Screens for Floral Mutants in Arabidopsis thaliana: Enhancers and Suppressors.

The flower is a hallmark feature that has contributed to the evolutionary success of land plants. Diverse mutagenic agents have been employed as a tool to genetically perturb flower development and identify genes involved in floral patterning and morphogenesis. Since the initial studies to identify genes governing processes such as floral organ specification, mutagenesis in sensitized backgrounds has been used to isolate enhancers and suppressors to further probe the molecular basis of floral development. Here, we first describe two commonly employed methods for mutagenesis (using ethyl methanesulfonate (EMS) or T-DNAs as mutagens), and then describe three methods for identifying a mutation that leads to phenotypic alterations: traditional map-based cloning, modified high-efficiency thermal asymmetric interlaced PCR (mhiTAIL-PCR), and deep sequencing in the plant model Arabidopsis thaliana.

Induction chemotherapy-based organ-preservation protocol improve the function preservation compared with immediate total laryngectomy for locally advanced hypopharyngeal cancer-Results of a matched-pair analysis.

BACKGROUND: We performed a paired analysis to compare the therapeutic effect between the induction chemotherapy-based organ-preservation approach and immediate total laryngectomy in hypopharyngeal squamous cell carcinoma patients requiring total laryngectomy. METHODS: 351 patients who were treated with organ-preservation approach were compared with 110 patients who were treated with total laryngectomy. The main measures and outcomes were progression-free survival (PFS), overall survival (OS), and larynx function preservation survival (LFPS). RESULTS: No statistical difference was observed for 3-, 5-, and 10-year PFS and OS in two groups. In the organ-preservation group, the 3-, 5-, and 10-year LFPS was 30.7%, 23.3%, and 16.6%, respectively. The LFPS of Stage III > Stage IV, N0 > N1 > N2 > N3, T2 > T3 > T4, CR > PR > SD > PD patients (all p values <0.05). CONCLUSIONS: Survival outcomes did not significantly differ between the two groups. The organ-preservation approach allowed more than 70% of the survivors to retain their larynx function.

Incidental thyroid carcinomas: experiences related to the surgery of head and neck cancers.

Background: Incidental thyroid carcinomas (ITCs) in patients undergoing head and neck surgery are rare, but there are no standard guidelines for the treatment of this situation. This retrospective study sought to detail our experiences in the treatment of ITCs related to the surgery of head and neck cancers. Methods: We conducted a retrospective analysis of the data about the ITCs in the patients with head and neck cancer, who underwent surgical treatments at Beijing Tongren Hospital in the past 5 years. The number and size of the thyroid nodules, postoperative pathology, follow-up results, and other information were recorded in detail. All the patients underwent surgical treatment and were followed-up for >1 year. Results: A total of 11 patients (10 male and 1 female) with ITC were included in this study. The patients had an average age of 58 years. Most of the patients (72.7%, 8/11) had laryngeal squamous cell cancer, and 7 were diagnosed with thyroid nodules on ultrasound. The surgical procedures for laryngeal and hypopharyngeal cancers included partial laryngectomy, total laryngectomy, and hypopharyngectomy. All the patients underwent thyroid stimulating hormone (TSH) suppression therapy. No recurrence or mortality events from thyroid carcinoma were observed. Conclusions: More attention needs to be paid to ITCs in head and neck surgery patients. Additionally, more research and the long-time follow-up of ITC patients are needed to extend understandings. For patients with head and neck cancers, if the suspicious thyroid nodules are found pre-operatively by ultrasound, fine-needle aspiration (FNA) is recommended. If FNA cannot be performed, the guidelines for thyroid nodules should be followed. In patients with postoperative ITC, TSH suppression therapy and follow-up is indicated.