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The electrocatalytic carbon dioxide or carbon monoxide reduction reaction (CO2RR or CORR) features a sustainable method for reducing carbon emissions and producing value-added chemicals. However, the generation of C3 products with higher energy density and market values, such as n-propanol, remains highly challenging, which is attributed to the unclear formation mechanism of C3+ versus C2 products. In this work, by the Tafel slope analysis, electrolyte pH correlation exploration, and the kinetic analysis of CO partial pressure fitting, it is identified that both n-propanol and C2 products share the same rate-determining step, which is the coupling of two C1 intermediates via the derivation of the Butler-Volmer equation. In addition, inspired by the mechanistic study, it is proposed that a high OH─ concentration and a water-limited environment are beneficial for promoting the subsequent *C2-*C1 coupling to n-propanol. At 5.0 m [OH-], the partial current density of producing n-propanol (jn-propanol) reached 45 mA cm-2, which is 35 and 1.3 times higher than that at 0.01 m [OH-] and 1.0 m [OH-], respectively. This study provides a comprehensive kinetic analysis of n-propanol production and suggests opportunities for designing new catalytic systems for promoting the C3 production.

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IMPORTANCE: Climate change mitigation policies aimed at limiting greenhouse gas (GHG) emissions would bring substantial health co-benefits by directly alleviating climate change or indirectly reducing air pollution. As one of the largest developing countries and GHG emitter globally, China's carbon-peaking and carbon neutrality goals would lead to substantial co-benefits on global environment and therefore on human health. This review summarized the key findings and gaps in studies on the impact of China's carbon mitigation strategies on human health. HIGHLIGHTS: There is a wide consensus that limiting the temperature rise well below 2 °C would markedly reduce the climate-related health impacts compared with high emission scenario, although heat-related mortalities, labor productivity reduction rates, and infectious disease morbidities would continue increasing over time as temperature rises. Further, hundreds of thousands of air pollutant-related mortalities (mainly due to PM2.5 and O3) could be avoided per year compared with the reference scenario without climate policy. Carbon reduction policies can also alleviate morbidities due to acute exposure to PM2.5. Further research with respect to morbidities attributed to nonoptimal temperature and air pollution, and health impacts attributed to precipitation and extreme weather events under current carbon policy in China or its equivalent in other developing countries is needed to improve our understanding of the disease burden in the coming decades. CONCLUSIONS: This review provides up-to-date evidence of potential health co-benefits under Chinese carbon policies and highlights the importance of considering these co-benefits into future climate policy development in both China and other nations endeavoring carbon reductions.

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AIMS: Narrative nursing (NN) is a crucial component of modern medical humanistic care. It involves utilising storytelling as a means to guide nurses in devising future interventions for patients, and help patients in reconstructing positive psychological defences. The willingness of clinical nurses to engage in narrative nursing holds significant implications for both effective communication and the overall quality of care. However, there is limited knowledge regarding clinical nurses' willingness to engage in narrative nursing. This study aims to investigate the participation willingness of Chinese nurses, identify its predictors and explore its corresponding reasons. DESIGN: A cross-sectional study. METHODS: Clinical nurses were enrolled in Hunan province, Central South, China, and a convenience sampling strategy was used. A structured questionnaire was distributed to clinical nurses by an online survey platform. Information on sociodemographic characteristics, willingness and possible influencing factors (experience, ability, perceptions on narrative nursing) was collected. Binary logistic regression was conducted to identify the predictors of willingness to participate in narrative nursing. RESULTS: A total of 2310 nurses were recruited, of which 2092 nurses completed the questionnaire (response rate: 90.6%). One thousand seven hundred and thirty-four nurses (82.9%) were willing to participate in NN, and 358 (17.1%) were not. Binary logistic regression analysis identified nine predictors of participants' willingness to participate, including working departments, professional title, working position, experience of received mobilisation and training of NN, understanding of related knowledge, NCS level, affirmation of NN and positive attitude towards clinical application (all p values < 0.05). These indicators explained 17.1% of the variances in the dependent variable (p < 0.001). CONCLUSION: A high proportion of nurses in Hunan province were willing to practice in clinic using NN. Willingness to participate may be increased by a focus on nurses with low professional titles, no administrative position and working in specialised departments, such as emergency departments, infectious departments, critical care units and operating theatres. IMPACT: The study identified a high proportion of nurses in Hunan Province who were willing to use NN. However, the figure was slightly lower than expected. Influencing factors were analysed to give insights for managers to develop more effective NN outreach programs. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

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Lithium-sulfur (Li-S) batteries are considered the most promising energy storage battery due to their low cost and high theoretical energy density. However, the low utilization rate of sulfur and slow redox kinetics have seriously limited the development of Li-S batteries. Herein, the electronic state modulation of metal selenides induced by the bi-metallic coupling strategy is reported to enhance the redox reaction kinetics and sulfur utilization, thereby improving the electrochemical performance of Li-S batteries. Theoretical calculations reveal that the electronic structure can be modulated by Ni-Co coupling, thus lowering the conversion barrier of lithium polysulfides (LiPSs) and Li+, and the synergistic interaction between NiCoSe nanoparticles and nitrogen-doped porous carbon (NPC) is facilitating to enhance electron transport and ion transfer kinetics of the NiCoSe@NPC-S electrodes. As a result, the assembled Li-S batteries based on NiCoSe@NPC-S exhibit high capacities (1020 mAh g-1 at 1 C) and stable cycle performance (80.37% capacity retention after 500 cycles). The special structural design and bimetallic coupling strategy promote the batteries working even under lean electrolyte (7.2 µL mg-1) with a high sulfur loading (6.5 mg cm-2). The proposed bimetallic coupling strategy modulating electronic construction with N-doping porous carbon has jointly contributed the good redox reaction kinetics and high sulfur utilization.

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OBJECTIVES: The study was designed to investigate the correlation between body mass index (BMI) along with both ovulation effect and clinical pregnancy rate in patients with polycystic ovary syndrome (PCOS), as well as to analyze the factors influencing the clinical pregnancy rate. METHODS: In the retrospective study, data from 122 patients were collected. The patients were classified into three groups based on their pre-pregnancy BMI: normal weight, overweight group, and obese group. The analysis focused on examining the ovulation indicators, ovulation rates, and clinical pregnancy rates across different groups. Furthermore, both univariate and multivariate analyses were conducted to identify factors influencing the clinical pregnancy rate. RESULTS: The obese group exhibited significantly higher fasting plasma glucose (FPG) levels compared to the overweight and normal-weight groups (P<0.0001); but no significant difference was found between the overweight and normal-weight groups (P>0.05). Both the obese and overweight groups had elevated levels of low-density lipoprotein cholesterol (LDL-C) compared to the normal-weight group (P<0.0001), with no significant difference between the obese and overweight groups (P>0.05). The obese group exhibited significantly lower levels of high-density lipoprotein cholesterol (HDL-C) compared to the normal-weight group (P<0.05); but no significant difference in HDL-C levels was observed between the overweight and normal-weight groups (P>0.05). Both the overweight group and obese group showed notably higher endometrial thickness and diameter of mature follicles than the normal weight group (P<0.05), as well as notably fewer mature follicles (P<0.05). Furthermore, the obese group demonstrated a significantly lower number of mature follicles compared to the overweight group (P<0.05). Conversely, the diameter of mature follicles was found to be significantly higher in the obese group than in the overweight group (P<0.05). The endometrial thickness showed a positive correlation with BMI (r=0.657, P<0.001), while the number of mature follicles exhibited a negative correlation with BMI (r=-0.547, P<0.001). Additionally, the diameter of mature follicles demonstrated a positive correlation with BMI (r=0.681, P<0.001). Relatively high BMI, advanced maternal age, and elevated FPG were identified as independent risk factors associated with low clinical pregnancy rate in patients with PCOS. CONCLUSIONS: Relatively high BMI, advanced maternal age, and elevated FPG are independent risk factors associated with a decreased likelihood of achieving clinical pregnancy in patients. Therefore, in clinical practice, assisting obese patients in weight reduction to maintain a BMI within the normal range of 18.5-23.9 kg/m2 and lowering blood glucose levels can contribute to better pregnancy outcomes.

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Periodontitis and diabetes mellitus exhibit a bidirectional relationship. This narrative review descriptively outlines the role of chlorhexidine in the periodontal treatment of diabetic patients, focusing on its antimicrobial mechanisms against microbial communities and its antiplaque effects. Although chlorhexidine is proven to be effective in combating microbial presence and improving gingivitis with substantial supporting evidence, its impact on glycemic control and insulin resistance in diabetic patients remains contentious. Additionally, the effectiveness of chlorhexidine as an adjunctive chemotherapeutic in the periodontal treatment of gestational diabetes has not yet been studied, highlighting a gap in research that necessitates further prospective studies and randomized controlled trials. Considering the interconnection between periodontal inflammation and glycemic levels, this article finally advocates for collaborative care between dental and medical professionals to manage periodontitis in diabetic patients effectively.

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The hypometabolism induced by fasting has great potential in maintaining health and improving survival in extreme environments, among which thyroid hormone (TH) plays an important role in the adaptation and the formation of new energy metabolism homeostasis during long-term fasting. In the present review, we emphasize the potential of long-term fasting to improve physical health and emergency rescue in extreme environments, introduce the concept and pattern of fasting and its impact on the body's energy metabolism consumption. Prolonged fasting has more application potential in emergency rescue in special environments. The changes of THs caused by fasting, including serum biochemical characteristics, responsiveness of the peripheral and central hypothalamus-pituitary-thyroid (HPT) axis, and differential changes of TH metabolism, are emphasized in particular. It was proposed that the variability between brain and liver tissues in THs uptake, deiodination activation and inactivation is the key regulatory mechanism for the cause of peripheral THs decline and central homeostasis. While hypothalamic tanycytes play a pivotal role in the fine regulation of the HPT negative feedback regulation during long-term fasting. The study progress of tanycytes on thyrotropin-releasing hormone (TRH) release and deiodination is described in detail. In conclusion, the combination of the decrease of TH metabolism in peripheral tissues and stability in the central HPT axis maintains the basal physiological requirement and new energy metabolism homeostasis to adapt to long-term food scarcity. The molecular mechanisms of this localized and differential regulation will be a key research direction for developing measures for hypometabolic applications in extreme environment.

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BACKGROUND: High blood pressure (HBP) and diabetes mellitus (DM) are two of the most prevalent cardiometabolic disorders globally, especially among individuals with lower socio-economic status (SES). Studies have linked residential greenness to decreased risks of HBP and DM. However, there has been limited evidence on whether SES may modify the associations of residential greenness with HBP and DM. METHODS: Based on a national representative cross-sectional study among 44,876 adults, we generated the normalized difference vegetation index (NDVI) at 1 km spatial resolution to characterize individuals' residential greenness level. Administrative classification (urban/rural), nighttime light index (NLI), individual income, and educational levels were used to characterize regional urbanicity and individual SES levels. RESULTS: We observed weaker inverse associations of NDVI with HBP and DM in rural regions compared to urban regions. For instance, along with per interquartile range (IQR, 0.26) increment in residential NDVI at 0∼5 year moving averages, the ORs of HBP were 1.04 (95%CI: 0.94, 1.15) in rural regions and 0.85 (95%CI: 0.79, 0.93) in urban regions (P = 0.003). Along with the decrease in NLI levels, there were continuously decreasing inverse associations of NDVI with DM prevalence (P for interaction <0.001). In addition, weaker inverse associations of residential NDVI with HBP and DM prevalence were found among individuals with lower income and lower education levels compared to their counterparts. CONCLUSIONS: Lower regional urbanicity and individual SES could attenuate the associations of residential greenness with odds of HBP and DM prevalence.

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In China, the rate of spicy food consumption is rising, and chili pepper is among the most popular spicy foods consumed nationwide. However, little effort has been made to understand the mechanism behind spicy food craving. This exploratory study aimed to investigate differences in insula-based resting state functional connectivity (rsFC) between spicy food cravers and non-cravers, and the association between rsFC, impulsivity and spicy food craving. A group of extreme cravers (n = 49) and a group of age- and sex-matched non-cravers (n = 46) completed a resting-state fMRI scan, during which participants were instructed to keep their eyes closed, to not think of anything in particular, and to remain awake. Participants completed the Spicy Food Craving Questionnaire, Barratt Impulsiveness Scale, Sensation Seeking Scale and Positive and Negative Affect Schedule, and rated the frequency of spicy food intake. Results revealed increased insula-occipital lobe resting-state functional connectivity in individuals with spicy food cravings, and the positive correlations between insula-middle occipital gyrus rsFC, impulsivity and spicy food craving. Specifically, the insula-middle occipital gyrus rsFC strength mediated the relationship between the motor impulsivity and spicy food craving. It is hoped that our exploratory findings may shed new insights into the neural mechanisms of spicy food craving and motivate further exploration of spicy food craving in diverse contexts and cultures.

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STAT6 is an attractive therapeutic target for human cancers and other human diseases. Starting from a STAT6 ligand with Ki = 3.5 µM binding affinity, we obtained AK-068 with Ki = 6 nM to STAT6 and at least >85-fold binding selectivity over STAT5. Using AK-068 and cereblon ligands, we discovered AK-1690 as the first, potent and selective PROTAC STAT6 degrader. AK-1690 effectively induces degradation of STAT6 protein in cells with DC50 values of as low as 1 nM while showing minimal effect on other STAT members up to 10 µM. A single dose of AK-1690 effectively depletes STAT6 in mouse tissues. Determination of the first cocrystal structure of STAT6 in complex with AK-1690 provides a structural basis for their interactions. AK-1690 is a powerful tool with which to investigate the roles of STAT6 in human diseases and biological processes and a promising lead compound for further optimization.

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OBJECTIVE: The management of long-segment ureteral stenosis has posed a significant challenge for urologists. Ureteroplasty with oral mucosal graft has emerged as an effective approach for treating long-segment ureteral stenosis and defects. A key step in replacement repair surgery involves suturing the surrounding tissue with an adequate blood supply around the reconstructed ureter. The current study aims to evaluate the potential practical application of the "perinephric fat wrapping" technique in laparoscopic ureteroplasty with oral mucosal graft. METHODS: Between July 2018 and February 2023, 26 patients with ureteral stenosis underwent laparoscopic ureteroplasty with oral mucosal graft at the Second Affiliated Hospital of Anhui Medical University. We used traditional omental wrapping technique (OW group) or perinephric fat wrapping technique (PFW group) to enhance ureter repair. Perioperative and follow-up data for both groups were collected retrospectively and compared. RESULTS: There were 10 patients in OW group, including 4 males and 6 females, with BMI of 23.5±2.8 kg/m2 and stenosis length of 3.6±1.6 cm. There were 16 patients in the PFW group, including 10 males and 6 females, with a BMI of 26.1±3.3 kg/m2 and a median stenosis length of 2.3 cm (range, 1.2~6.0 cm). The operation of both groups was successfully completed, and no serious complications occurred during the operation. The mean operating time (OT) in the OW group was 200.6±41.9 min, the estimated amount of blood loss (EBL) was 25 ml (range, 10~30ml), and the median length of postoperative hospital stay (LHS) was 7.5 days (range 4.0~14.0 days). In the PFW group, the mean operating time (OT) was 211.9±38.3 min, the estimated blood loss (EBL) was 25 ml (range, 5~150ml), and the postoperative hospital stay (LHS) was 6.8±2.0 d. There was no significant difference between the two groups in the above indexes. Postoperative anal exhaust time was 1.0 d (range, 1.0~2.5d) in the PFW group and 1.9±0.5 d in the OW group, with significant difference between the two groups (P=0.009). The mean follow-up time was 36.8±15.9 months, and there was no significant difference between OW group and PFW group in the curative effect of operation. CONCLUSION: Perinephric fat wrapping technique not only avoids the potential effects of using omentum on abdominal organs, it is also as safe and effective as omentum wrapping technique in repairing and reconstructing the ureter using oral mucosal grafts.

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PURPOSE: The goal of this research was to explore the role of miR-24-3p in heart failure (HF), with a focus on its impact on the specificity protein 1 (Sp1)/phosphoinositide 3-kinase (PI3K) pathway. METHODS: HF rat and HF cell models were established using doxorubicin(Dox). Cardiac function was assessed through echocardiography, while histological changes were observed via hematoxylin-eosin (HE) staining. To further investigate the underlying mechanisms, HF cell models were treated with either an Sp1 inhibitor or a PI3K inhibitor. Additionally, models with miR-24-3p overexpression or silencing were constructed. N-terminal pro-brain natriuretic peptide (NT-proBNP) levels were determined by ELISA. Cell apoptosis was evaluated using TUNEL staining, and lactate dehydrogenase (LDH) levels were measured by colorimetry. Reactive oxygen species (ROS) production was analyzed using flow cytometry. Related gene and protein expressions were assessed via qRT-PCR and Western blotting. Finally, the relationship between miR-24-3p and Sp1 was confirmed through dual-luciferase assays. RESULTS: Dox treatment increased the left ventricular internal diameter (LVIDd) while decreasing ejection fraction (EF) and fractional shortening (FS), leading to disorganized cardiomyocyte arrangement, cellular edema, and necrosis in rats. In HF rats, NT-proBNP, Caspase-3, and miR-24-3p expression levels were elevated, whereas Sp1 and PI3K mRNA and protein expression levels were decreased. Similarly, Dox-induced damage in H9c2 cardiomyocytes resulted in increased NT-proBNP, apoptosis, Caspase-3, LDH, ROS, and miR-24-3p expression, along with decreased Sp1 and PI3K expression. Treatment with either Sp1 or PI3K inhibitors exacerbated the Dox-induced cardiomyocyte damage, further elevating NT-proBNP, apoptosis, Caspase-3, LDH, ROS, and miR-24-3p expression levels. Notably, Sp1 inhibition reduced PI3K expression, and PI3K inhibition, in turn, suppressed Sp1 expression. Overexpression of miR-24-3p worsened Dox-induced cardiomyocyte damage, characterized by increased NT-proBNP, apoptosis, Caspase-3, LDH, and ROS expression, alongside reduced Sp1 and PI3K expression. In contrast, silencing miR-24-3p mitigated these detrimental effects and increased Sp1 and PI3K expression. Dual-luciferase assays confirmed that miR-24-3p directly targets Sp1. CONCLUSION: Dox induces cardiomyocyte damage, impairs cardiac function, and promotes cardiomyocyte apoptosis and oxidative stress. Silencing miR-24-3p offers a protective effect by activating the Sp1/PI3K signaling pathway in heart failure.

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This work examined the occurrence characteristics and ecological risks of 31 antibiotics across five classes and seven ARGs in the surface waters of Gaoyou Lake. A total of 27 antibiotics, spanning four classes, were detected in the surface waters of Gaoyou Lake, with an overall concentration ranging from 57.5 to 114 ng/L and an average of 78.8 ng/L. Sulfonamide antibiotics exhibited the highest average concentration at 32.7 ng/L. Spatial analysis revealed that antibiotic concentration levels in the western region of the lake were higher than those in other areas. Similarly, ARGs were most abundant in this area, with sulfonamide ARGs demonstrating a notably higher mean abundance than other ARGs. Correlation analysis revealed strong positive associations between sul1 and several antibiotics, including sulfadimidine, sulfamethoxazole, ciprofloxacin, lincomycin, clindamycin, erythromycin, and intl1 (P < 0.05), with intra-group correlations among sulfonamide ARGs exceeding those between different ARG groups. Ecological risk assessment indicated that erythromycin and sulfamethoxazole presented medium risks, whereas roxithromycin, azithromycin, and lincomycin were associated with low risks to aquatic organisms. The ecological risk proportions across monitoring sites were primarily low (10.6%) and moderate (16.7%), with no high-risk areas identified and 72.7% presenting no risk. The cumulative ecological risk quotient (RQcum) suggested a medium-risk level at all surveyed sites.

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Covalent organic frameworks (COFs) have potential applications in a wide range of fields. However, it remains a critical challenge to constrain their covalent expansions in the one-dimensional (1D) direction. Here, we developed a general approach to fabricate 15 different highly crystalline COFs with zigzag-packed 1D porous organic chains through the condensation of V-shaped ditopic linkers and X-shaped tetratopic knots. Appropriate geometrical combinations of a wide scope of linkers and knots with distinct aromatic cores, linkages, and functionalities offer a series of quasi-1D COFs with dominant pore sizes of 7-13 Å and surface areas of 116-784 m2 g-1. Among them, nitrogen (N)-doped 1D COFs with site-specific doping of heteroatoms favor a tunable control of band structures and conjugations and thus allow a remarkable hydrogen evolution rate up to 80 mmol g-1 h-1 in photocatalytic water splitting. This general strategy toward programming function in porous crystalline materials has the potential to tune the topologically well-defined electronic properties through precisely periodic doping.

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This review explores the critical role of machine learning (ML) in enhancing microalgae bioprocesses for sustainable biofuel production. It addresses both technical and economic challenges in commercializing microalgal biofuels and examines how ML can optimize various stages, including identification, classification, cultivation, harvesting, drying, and conversion to biofuels. This review also highlights the integration of ML with technologies such as the Internet of Things (IoT) for real-time monitoring and management of bioprocesses. It discusses the adaptability and flexibility of ML in the context of microalgae biotechnology, focusing on diverse algorithms such as Artificial Neural Networks, Support Vector Machines, Decision Trees, and Random Forests, while emphasizing the importance of data collection and preparation. Additionally, current ML applications in microalgae biofuel production are reviewed, including strain selection, growth optimization, system monitoring, and lipid extraction.

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BACKGROUND: It is clinically important to anticipate the likelihood of pain catastrophizing in patients who undergo total knee arthroplasty (TKA). Persistent pain and diminished physical function following TKA are independently associated with preoperative pain catastrophizing. The purpose of this study was to develop and validate a nomogram model to predict pain catastrophizing in patients who have severe osteoarthritis undergoing primary TKA. METHODS: Data were collected from patients who have severe osteoarthritis undergoing primary TKA at four tertiary general hospitals in Changsha, China, from September to December 2023. The study cohort was randomly divided into a training group and a validation group in the proportion of 70 to 30%. Least absolute shrinkage and selection operator (LASSO) regression analysis was utilized to select the optimal predictive variables for the model. A nomogram model was created using independent risk factors that were identified through multivariate regression analysis. Their performance was assessed using the concordance index and calibration curves, and their clinical utility was analyzed using decision curve analysis (DCA). RESULTS: A total of 416 patients were included, 291 in the training group and 125 in the validation group. There were 115 (27.6%) who had pain catastrophizing. The predictors contained in the nomogram were pain intensity during activity, anxiety and depression, body mass index (BMI), social support, and household. The area under the curve (AUC) of the nomogram was 0.976 (95% CI = 0.96 to 0.99) for the training group and 0.917 (95% CI = 0.88 to 0.96) for the validation group. The calibration curves confirmed the nomogram's accuracy, and DCA showed its strong predictive performance. CONCLUSIONS: The comprehensive nomogram generated in this study was a valid and easy-to-use tool for assessing the risk of pain catastrophizing in preoperative total knee arthroplasty patients, and helped healthcare professionals to screen the high-risk population.

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Soil heavy metal contamination in urban land can affect biodiversity, ecosystem functions, and the health of city residents. Visible and near-infrared (Vis-NIR) spectroscopy is fast, inexpensive, non-destructive, and environmentally friendly compared to traditional methods of monitoring soil Cu, a common heavy metal found in urban soils. However, there has been limited research on using spatially nearby samples to build the Cu estimation model. Our study aims to investigate how spatially nearby samples influence the Cu estimation model. In our study, we collected 250 topsoil samples (0-20 cm) from China's third-largest city and analyzed their spectra (350-2500 nm). For each unknown validation sample, we selected its spatially nearby samples to construct the Cu estimation model. The results showed that compared to the traditional method (Rp2 = 0.75, RMSEP = 8.56, RPD = 1.73), incorporating nearby samples greatly improved the model (Rp2 = 0.93, RMSEP = 4.02, RPD = 3.89). As the number of nearby samples increased, the performance of the Cu estimation model followed an inverted U-shaped curve-initially increasing and then declining. The optimal number of nearby samples is 125 (62.5% of the total), and the mean distance between validation and calibration samples is 17 km. Therefore, we conclude that using nearby samples significantly enhances the Cu estimation model. The optimal number of nearby samples should strike a balance, covering a moderate area without there being too few or too many.

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Understanding protein corona composition is essential for evaluating their potential applications in biomedicine. Relative protein abundance (RPA), accounting for the total proteins in the corona, is an important parameter for describing the protein corona. For the first time, we comprehensively predicted the RPA of multiple proteins on the protein corona. First, we used multiple machine learning algorithms to predict whether a protein adsorbs to a nanoparticle, which is dichotomous prediction. Then, we selected the top 3 performing machine learning algorithms in dichotomous prediction to predict the specific value of RPA, which is regression prediction. Meanwhile, we analyzed the advantages and disadvantages of different machine learning algorithms for RPA prediction through interpretable analysis. Finally, we mined important features about the RPA prediction, which provided effective suggestions for the preliminary design of protein corona. The service for the prediction of RPA is available at http://www.bioai-lab.com/PC_ML.

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BACKGROUND: The coexistence of esophageal variceal bleeding and superficial esophageal cancer (SEC) is relatively rare in clinical practice. Moreover, there have been few reports of SEC overlying esophageal varices (EVs). Herein, we report our successful use of endoscopic submucosal dissection (ESD), esophageal solitary venous dilatation (ESVD), and endoscopic injection sclerotherapy (EIS) to treat a 75-year-old man who was diagnosed with SEC coexisting with esophageal variceal bleeding. CASE SUMMARY: A 75-year-old man was admitted to the hospital due to black stool for 4 days. The patient had a history of liver cancer, cirrhosis, and portal hypertension. Endoscopic examination revealed esophageal and gastric varicose veins, as well as esophageal carcinoma in situ. We first treated esophageal variceal bleeding by ESVD and EIS. One week later, ESD treatment was done, and the complete resection of early esophageal cancer was successfully completed via endoscopy. There were no postoperative complications, such as bleeding, infection, or perforation. CONCLUSION: The sequential treatment of ESVD, EIS, and ESD is an effective method for treating EVs with early esophageal cancer.