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Diabetic foot ulcer (DFU) is a common and severe complication of diabetes characterized by wound neuropathy, ischemia, and susceptibility to infection, making its treatment difficult. Dressings are commonly used in treating diabetic wounds; however, they have disadvantages, including lack of flexibility and mechanical strength, lack of coagulation activity, resistance to biodegradation, and low drug delivery efficiency. Developing more effective strategies for diabetic wound treatment has become a new focus. Microneedles (MN) can be used as a drug delivery platform for DFU wounds, allowing safe, effective, painless and minimally invasive medication administration through the skin. Herein, PDA@Ag/SerMA microneedles were prepared by combining the photothermal properties of polydopamine (PDA), the antimicrobial properties of argentum (Ag), and the ability of sericin methacryloyl (SerMA) to promote cell mitosis to accelerate wound healing and treat diabetic ulcer wounds. The results revealed that PDA@Ag/SerMA microneedles exhibited approximately 100% antimicrobial efficacy against Staphylococcus aureus and Escherichia coli under 808 nm near-infrared (NIR) irradiation. Furthermore, the wound healing rate of mice reached 95% within 12 days, which demonstrated the excellent antibacterial properties and wound healing efficacy of PDA@Ag/SerMA microneedles at cellular and animal levels, providing a potential solution for treating DFU.

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Interleukin-6 (IL-6) plays a crucial role in the pathogenesis of cardiovascular disease (CVD), and IL-6 receptor (IL-6R) blockade has emerged as a promising therapeutic option. However, their specific therapeutic effects in different types of CVDs remain unclear. This study aimed to assess the efficacy of IL-6R blockade in the management of various CVDs, including hypertension (HTN), coronary heart disease (CHD), myocardial infarction (MI), atrial fibrillation (AF), and heart failure (HF). The Mendelian randomization (MR) approach was utilized to investigate the therapeutic impact of IL-6R blockade on HTN, CHD, MI, AF, and HF based on the genome-wide association study (GWAS) summary statistics. MR-Egger intercept test, Cochran's Q test, and leave-one-out analysis were used for sensitivity analysis to verify the reliability of the MR results. The Bonferroni method was used to correct for bias caused by multiple comparisons. Inverse variance weighted (IVW) results demonstrated that IL-6R blockade significantly influenced CHD (odds ratio (OR) = 0.757, 95% confidence interval (CI): 0.690 - 0.832, P = 5.804 × 10-9) and MI (OR = 0.840, 95% CI: 0.744 - 0.949, P = 0.005). However, IL-6R blockade had no significant effect on HTN (OR = 1.015, 95% CI: 0.950 - 1.084, P = 0.663), AF (OR = 0.905, 95% CI: 0.800 - 1.025, P = 0.116) and HF (OR = 1.012, 95% CI: 0.921 - 1.113, P = 0.805). Genetically predicted IL-6R blockade was associated with a protective effect on CHD and MI, but not HTN, AF and HF. This study's findings offer valuable insights for tailoring IL-6R blockade treatment for different types of CVD, and serve as a reference for future research.

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Background: Oesophagogastroduodenoscopy (OGD) quality and identification of the early upper gastrointestinal (UGI) neoplasm play an important role in detecting the UGI neoplasm. However, the optimal method for quality control in daily OGD procedures is currently lacking. We aimed to evaluate the efficacy of a real-time intelligent quality-control system (IQCS), which combines OGD quality control with lesion detection of early UGI neoplasms. Methods: We performed a multicentre, single-blinded, randomised controlled trial at 6 hospitals in China. Patients aged 40-80 years old who underwent painless OGD were screened for enrolment in this study. Patients with a history of advanced UGI cancer, stenosis, or obstruction in UGI tract were excluded. Eligible subjects were randomly assigned (1:1) to either the routine or IQCS group to undergo standard OGD examination and OGD examination aided by IQCS, respectively. Patients were masked to the randomisation status. The primary outcome was the detection of early UGI neoplasms. All analyses were done on a per-protocol basis. This trial is registered with ClinicalTrials.gov, NCT04720924. Findings: Between January 16, 2021 and December 23, 2022, 1840 patients were randomised (IQCS group: 919, routine group: 921). The full analysis set consisted of 914 in the IQCS group and 915 in the routine group. The early UGI neoplasms detection rate in the IQCS group (6.1%, 56/914) was significantly higher than in the routine group (2.3%, 21/915; P = 0.0001). The IQCS group had fewer blind spots (2.3 vs. 6.2, P < 0.0001). The IQCS group had higher stomach cleanliness on cardia or fundus (99.5% vs. 87.9%, P < 0.0001), body (98.9% vs. 88.0%, P < 0.0001), angulus (99.8% vs. 88.4%, P < 0.0001) and antrum or pylorus (100.0% vs. 87.4%, P < 0.0001). The inspection time (576.2 vs. 574.5s, P = 0.91) and biopsy rate (57.2% vs. 56.6%, P = 0.83) were not different between the groups. The early UGI neoplasms detection rate in the IQCS group increased in both non-academic centres (RR = 3.319, 95% CI 1.277-9.176; P = 0.0094) and academic centres (RR = 2.416, 95% CI 1.301-4.568; P = 0.0034). The same improvements were observed for both less-experienced endoscopists (RR = 2.650, 95% CI 1.330-5.410; P = 0.0034) and experienced endoscopists (RR = 2.710, 95% CI 1.226-6.205; P = 0.010). No adverse events or serious adverse events were reported in the two groups. Interpretation: The IQCS improved the OGD quality and increased early UGI neoplasm detection in different hospital types and endoscopist experiences. IQCS could play an important role in primary basic hospitals and non-expert endoscopists to improve the diagnostic accuracy of early UGI neoplasms. The effectiveness of IQCS in real-world clinical settings needs a larger population validation. Funding: Key R&D Program of Shandong Province, China (Major Scientific and Technological Innovation Project), National Natural Science Foundation of China, the Taishan Scholars Program of Shandong Province, the National Key Research and Development Program of China, and the Shandong Provincial Natural Science Foundation.

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The detection rate of children's behavioral problems is on the rise throughout the world, reaching 18.8% in China. Maternal depressive symptoms is one of the main causes of children's behavioral problems. Our study explored the moderating roles and the specific moderating mechanism of children's emotion regulation and teacher-student relationship quality in the association between maternal depressive symptoms and children's behavioral problems based on the resilience framework and the multiple moderating model. A cross-sectional survey on mothers and teachers of Chinese primary school students in grades 1 to 3 in suburban Beijing was conducted to investigate children's behavioral problems, emotion regulation, teacher-student relationship quality, maternal depressive symptoms, and demographic characteristics (n = 300) in this study. Pathway analysis and the Johnson-Neyman method were used to determine the moderating roles and the specific moderating mechanism of emotion regulation and teacher-student relationship quality. Results showed that emotion regulation and teacher-student relationship quality played moderating roles in the association between maternal depressive symptoms and children's behavioral problems and the moderating mechanism was the additive moderating model. To be specific, emotion regulation and teacher-student relationship quality played moderating roles parallelly. Emotion regulation could moderate the negative effect of maternal depressive symptoms on both internalizing and externalizing behavioral problems in children. Meanwhile, teacher-student relationship quality could moderate the negative effect of maternal depressive symptoms on children's externalizing behavioral problems. The study highlighted the value of children's emotion regulation and teacher-student relationship quality against adverse family environments and gave an orientation for intervention.

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The ability to pick up objects off the floor can degrade over time with elderly individuals, leading to a reduced quality of life and an increase in the risk of falling. Healthcare professionals have expressed an interest in monitoring the decline in pickup ability of a subject over extended periods of time and intervening when it becomes hazardous to the subject's health. The current means of evaluating pickup ability involving in-clinic patient visits is both time and financially expensive. There is a clear need for a cost-effective, remote means of pickup evaluation to ease the burden on both patients and physicians. To address these challenges, we introduce a Time-of-Pickup (ToP) solution, called ToPick, designed for the automatic assessment of pickup ability over time. The practical performance of ToPick is evident, demonstrated by a minimal median error of approximately 100 milliseconds in evaluating 20 pickup events among 10 elderly individuals. Furthermore, ToPick exhibits a high level of reliability, achieving perfect accuracy, precision, and recall scores for pickup event detection. We actualize our research findings by designing an application intended for adoption by both healthcare practitioners and elderly individuals. The app aims to reduce both time and financial costs while enabling mobile treatment for users.

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INTRODUCTION: Intracranial atherosclerotic stenosis (ICAS) is one of the most common causes of stroke worldwide and confers a high risk of stroke recurrence, despite aggressive medical therapy. Asymptomatic ICAS (aICAS) is a frequent finding on neuroimaging, and it's an independent risk factor for future stroke. Alirocumab is a monoclonal antibody that inhibits proprotein convertase subtilisin-kexin type 9 (PCSK9) and effectively lower low-density lipoprotein cholesterol levels. We hypothesize that extra alirocumab in addition to statin therapy (EAST) could stabilize intracranial plaques in patients with aICAS. METHODS AND ANALYSIS: In this prospective, randomized, open-label, blinded end-point study, we will use high-resolution vessel-wall magnetic resonance imaging (HR-vwMRI) to evaluate the efficacy and safety of alirocumab in patients with asymptomatic ICAS. Eighty patients with aICAS (50 %-99 %) caused by unstable plaques will be assigned to the arm of alirocumab plus statin therapy, or the arm of statin therapy in a 1:1 ratio. Patients will undergo HR-vwMRI at recruitment and after 6 months. The primary outcome is changes in plaque features evaluated by HR-vwMRI after 6 months' treatment. This trial is being conducted at the first affiliated hospital of Nanjing medical university, China. ETHICS AND DISSEMINATION: The study has been approved by the Ethics Committee of the First Affiliated Hospital of Nanjing Medical University. Written informed consents will be obtained from all participants. Study results will be published as peer-reviewed articles. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov, Identifier: NCT06080256.

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The cuff of endotracheal tube (ETT) is an indispensable device for establishing an artificial airway, yet cuff-induced compression often causes damage to the airway mucosa. The mechanism of this damage involves mucosal compression ischemia and the oxidative stress injury following reperfusion. Currently, there is a lack of effective strategies to protect the mucosa. Hydrogen, as a natural antioxidant, has demonstrated significant potential in the prevention and treatment of oxidative stress injuries. This study aimed to determine the protective effects of hydrogen on compressed airway mucosa. We found that the damage to the airway mucosa caused by ETT cuff compression was associated with oxidative stress-induced pyroptosis of airway epithelial cells. Inhalation of hydrogen effectively reduced the levels of reactive oxygen species, significantly ameliorating changes in epithelial cell pyroptosis, and this protective effect is linked to the inhibition of the NLRP3-GSDMD pathway. Further cellular studies, involving knockdown and overexpression of NLRP3, clarified that hydrogen exerts its protective effects on the airway mucosa by inhibiting epithelial cell pyroptosis. Additionally, we observed that using hydrogen-rich saline to inflate the ETT cuff in patients under general anesthesia significantly reduced postoperative sore throat. This study confirms that hydrogen effectively enhances tolerance of airway mucosa to oxidative stress injuries, offering a potential preventive and therapeutic strategy for protecting the airway mucosa in patients undergoing endotracheal intubation.

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Activatable photosensitizers (PSs) generating 1O2 only under specific conditions can minimize concomitant injury to normal tissues. Heavy-atom-free PSs hold the merits of low dark toxicity, long triplet-state lifetimes, good photostability, and relatively low cost. PSs with emission in the second near-infrared (NIR-II) window are highly valuable for deep-tissue, high-contrast imaging. Herein, we have designed and synthesized a series of heavy-atom-free PSs by a one-step reaction between an easily accessible rhodamine derivative and commercially available thiophene aldehydes. One of the as-prepared PSs, 2b-3T, exhibits emission maxima at 810 nm and tails to the NIR-II region at 1140 nm, together with large Stokes shift (178 nm). Importantly, the newly developed PSs, featuring functional carboxylic acid groups, present promising opportunities as versatile platforms for creating activatable PSs. To validate our concept, we developed Cu2+/pH-activatable PSs using the spirocyclization mechanism of rhodamine. Ultimately, we showcased the effectiveness of these innovative PSs in photodynamic therapy through in vitro experiments.

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BACKGROUND: Type 2 diabetes mellitus (T2DM) is a metabolic syndrome characterized by chronic inflammation, insulin resistance, and islet cell damage. The prevention of T2DM and its associated complications is an urgent public health issue that affects hundreds of millions of people globally. Numerous studies suggest that disturbances in gut metabolites are important driving forces for the pathogenesis of diabetes. However, the functions and mechanisms of action of most commensal bacteria in T2DM remain largely unknown. METHODS: The quantification of bile acids (BAs) in fecal samples was performed using ultra-performance liquid chromatography-tandem mass spectrometer (UPLC-MS/MS). The anti-diabetic effects of Bacteroides uniformis (B. uniformis) and its metabolites cholic acid (CA) and chenodeoxycholic acid (CDCA) were assessed in T2DM mice induced by streptozocin (STZ) plus high-fat diet (HFD). RESULTS: We found that the abundance of B. uniformis in the feces and the contents of CA and CDCA were significantly downregulated in T2DM mice. B. uniformis was diminished in diabetic individuals and this bacterium was sufficient to promote the production of BAs. Colonization of B. uniformis and intragastric gavage of CA and CDCA effectively improved the disorder of glucose and lipid metabolism in T2DM mice by inhibiting gluconeogenesis and lipolysis in the liver. CA and CDCA improved hepatic glucose and lipid metabolism by acting on the Takeda G protein-coupled receptor 5 (TGR5)/adenosine monophosphate-activated protein kinase (AMPK) signaling pathway since knockdown of TGR5 minimized the benefit of CA and CDCA. Furthermore, we screened a natural product-vaccarin (VAC)-that exhibited anti-diabetic effects by promoting the growth of B. uniformis in vitro and in vivo. Gut microbiota pre-depletion abolished the favorable effects of VAC in diabetic mice. CONCLUSIONS: These data suggest that supplementation of B. uniformis may be a promising avenue to ameliorate T2DM by linking the gut and liver.

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The success of near-infrared spectroscopy (NIRS) analysis hinges on the precision and robustness of the calibration model. Shallow learning (SL) algorithms like partial least squares discriminant analysis (PLS-DA) often fall short in capturing the interrelationships between adjacent spectral variables, and the analysis results are easily affected by spectral noise, which dramatically limits the breadth and depth of applications of NIRS. Deep learning (DL) methods, with their capacity to discern intricate features from limited samples, have been progressively integrated into NIRS. In this paper, two discriminant analysis problems, including wheat kernels and Yali pears as examples, and several representative calibration models were used to research the robustness and effectiveness of the model. Additionally, this article proposed a near-infrared calibration model, which was based on the Gramian angular difference field method and coordinate attention convolutional neural networks (G-CACNNs). The research results show that, compared with SL, spectral preprocessing has a smaller impact on the analysis accuracy of consensus learning (CL) and DL, and the latter has the highest analysis accuracy in the modeling results using the original spectrum. The accuracy of G-CACNNs in two discrimination tasks was 98.48% and 99.39%. Finally, this research compared the performance of various models under noise to evaluate the robustness and noise resistance of the proposed method.

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The electron transport layer (ETL) plays a critical role in efficient and stable perovskite solar cells (PSCs). The current effective method for the large-scale preparation of metal oxide ETLs is mainly based on expensive sputtering processes. Here, a screen-assisted self-spreading method is proposed as a novel approach to prepare uniformly thin and conformal TiO2 films on a rough fluorine-doped tin oxide (FTO) substrate as an ETL in planar PSCs. The TiO2 ETL deposited by this method exhibited good coverage and homogeneity on the rough FTO substrate, thereby minimizing interfacial recombination. The photovoltaic performance of the PSCs fabricated by this method is superior to that of the cells fabricated by spin coating, especially in terms of the fill factor. The performance enhancement can be attributed to the complete coverage of the FTO substrate by the conformal TiO2 film, confirming the effectiveness and reliability of the proposed method for the preparation of the TiO2 ETL. The advantages of this method lie in its scalability to prepare oxide films with a large area, eliminating the requirement of complex equipment, such as spinners, sputters, or physical vapor deposition equipment.

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Due to industrialization, soil heavy metal pollution is a growing concern, with humic substances (HS) playing a pivotal role in soil passivation. To address the long duration of the compost humification problem, coal fly ash (CFA) in situ catalyzes the rapid pyrolysis of the cotton stalk (CS) to produce HS to address Cd passivation. Results indicate that the highest yield of humic acid (HA) (8.42%) and fulvic acid (FA) (1.36%) is obtained when the CS to CFA mass ratio is 1:0.5, at 275 ℃ for 120 min. Further study reveals that CFA catalysis CS humification, through the creation of alkaline pyrolysis conditions, Fe2O3 can stimulate the protein and the decomposition of hemicellulose in CS, and then, through the Maillard and Sugar-amine condensation reaction synthesis HA and FA. Applying HS-CS&CFA in Cd-contaminated soil demonstrates a 26.69% reduction in exchangeable Cd within 30 days by chemical complexation. Excellent maize growth effects and environmental benefits of HS products are the prerequisites for subsequent engineering applications. Similar industrial solid wastes, such as steel slag and red mud, rich in Fe2O3, can be explored to identify their catalytic humification effect. It could provide a novel and effective way for industrial solid wastes to be recycled for biomass humification and widely applied in remediating Cd-contaminated agricultural soil.

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As one of the commonly used intact detection techniques, liquid NMR spectroscopy offers unparalleled insights into the chemical environments, structures, and dynamics of molecules. However, it generally encounters the challenges of crowded or even overlapped spectra, especially when probing complex sample systems containing numerous components and complicated molecular structures. Herein, we exploit a general NMR protocol for efficient NMR analysis of complex systems by combining fast pure shift NMR and GEMSTONE-based selective TOCSY. First, this protocol enables ultrahigh-selective observation on the coupling networks that are totally correlated with targeted resonances or components, even where they are situated in severely overlapped spectral regions. Second, pure shift simplification is introduced to enhance the spectral resolution and further resolve the subspectra containing spectral congestion, thus facilitating the dissection of overlapped spectra. Additionally, sparse sampling accompanied by spectral reconstruction is adopted to significantly accelerate acquisition and improve spectral quality. The advantages of this protocol were demonstrated on different complex sample systems, including a challenging compound of estradiol, a mixture of sucrose and d-glucose, and natural grape juice, verifying its feasibility and power, and boosting the potential application landscapes in various chemical fields.

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BACKGROUND: Microbes colonizing each compartment of terrestrial plants are indispensable for maintaining crop health. Although corn stalk rot (CSR) is a severe disease affecting maize (Zea mays) worldwide, the mechanisms underlying host-microbe interactions across vertical compartments in maize plants, which exhibit heterogeneous CSR-resistance, remain largely uncharacterized. RESULTS: Here, we investigated the microbial communities associated with CSR-resistant and CSR-susceptible maize cultivars using multi-omics analysis coupled with experimental verification. Maize cultivars resistant to CSR reshaped the microbiota and recruited Bacillus species with three phenotypes against Fusarium graminearum including niche pre-emption, potential secretion of antimicrobial compounds, and no inhibition to alleviate pathogen stress. By inducing the expression of Tyrosine decarboxylase 1 (TYDC1), encoding an enzyme that catalyzes the production of tyramine and dopamine, Bacillus isolates that do not directly suppress pathogen infection induced the synthesis of berberine, an isoquinoline alkaloid that inhibits pathogen growth. These beneficial bacteria were recruited from the rhizosphere and transferred to the stems but not grains of the CSR-resistant plants. CONCLUSIONS: The current study offers insight into how maize plants respond to and interact with their microbiome and lays the foundation for preventing and treating soil-borne pathogens. Video Abstract.

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Breast cancer is a prevalent malignancy affecting women worldwide. Currently, there are no precise molecular biomarkers with immense potential for accurately predicting breast cancer development, which limits clinical management options. Recent evidence has highlighted the importance of metastatic and tumor-infiltrating immune cells in modulating the antitumor therapy response. However, the prognostic value of using these features in combination, and their potential for guiding individualized treatment for breast cancer, remains vague. To address this challenge, we recently developed the metastatic and immunogenomic risk score (MIRS), a comprehensive and user-friendly scoring system that leverages advanced bioinformatics methods to facilitate transcriptomics data analysis. To help users become familiar with the MIRS tool and apply it effectively in analyzing new breast cancer datasets, we describe detailed protocols that require no advanced programming skills. © 2024 Wiley Periodicals LLC. Basic Protocol 1: Calculating a MIRS score from transcriptomics data Basic Protocol 2: Predicting clinical outcomes from MIRS scores Basic Protocol 3: Evaluating treatment responses and guiding therapeutic strategies in breast cancer patients Basic Protocol 4: Guidelines for utilizing the MIRS webtool.

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OBJECTIVES: Postdoctoral researchers in Chinese universities commonly face a high risk of mental health issues, such as depression, yet the underlying causes and mechanisms remain unclear. This study aims to explore the influence of childhood socioeconomic status (SES) on depression among postdoctoral researchers and the mediating roles of current subjective SES and perceived stress in this process. METHODS: An online survey was conducted among postdoctoral researchers at a university. The survey included a general information questionnaire, the Childhood Socioeconomic Status Scale, the Subjective Socioeconomic Status Scale, the Perceived Stress Scale, and the Patient Health Questionnaire. A total of 505 valid responses were collected. Pearson correlation analysis was used to analyze the data, and the PROCESS macro was employed for chain mediation analysis. RESULTS: Childhood SES was significantly positively correlated with current subjective SES (P<0.05) and significantly negatively correlated with postdoctoral tenure, perceived stress, and depression (all P<0.05). Current subjective SES was significantly negatively correlated with perceived stress and depression (both P<0.05), while perceived stress was significantly positively correlated with depression (P<0.05). The chain mediation effect of childhood SES → current subjective SES → perceived stress → depression was significant (P<0.05). CONCLUSIONS: Childhood socioeconomic status can influence depression among postdoctoral researchers through the mediating roles of current subjective socioeconomic status and perceived stress. These findings provide a target for the prevention and intervention of depression in postdoctoral populations and offer a reference for the development of mental health promotion strategies for young university faculty.

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PURPOSE: The aim of this study was to investigate the efficacy and safety of three minimally invasive surgical approaches for treating large upper ureteral stones complicated by infection in elderly (> 60 years) patients. METHODS: Clinical data from 95 elderly patients with large upper ureteral stones and infection, treated at our hospital between January 2018 and April 2023, were retrospectively analyzed. The surgical approaches included FURL (flexible ureteroscopic lithotripsy) 33 cases, mPCNL (minimally percutaneous nephrolithotomy) 29 cases, and RLUL (retroperitoneal laparoscopic ureterolithotomy) 33 cases. Surgical time, intraoperative blood loss, postoperative hospital stay, reoperation rate, incidence of postoperative complications, and hospitalization costs were observed and compared among the three groups. RESULTS: No statistically significant difference was found in stone clearance rates among the three groups (P > 0.05). The FURL group exhibited advantages over the mPCNL and RLUL groups in surgical time, intraoperative blood loss, and postoperative hospital stay (P < 0.05). However, it also had the highest reoperation rate and hospitalization costs (P < 0.05). RLUL demonstrated superiority over the mPCNL and RLUL groups in terms of reoperation rate, incidence of complications, and hospitalization costs (P < 0.05). Notably, mPCNL exhibited the highest complication rate at 37.9% (P < 0.05). CONCLUSION: For elderly patients with large upper ureteral stones complicated by infection, FURL, mPCNL, and RLUL represent effective surgical approaches. Further attention is needed regarding the perioperative safety of mPCNL. RLUL, which offers higher safety, efficacy, and cost-effectiveness, can be considered a primary surgical option for these patients.

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Oxygen evolution reaction is the essential anodic reaction for water splitting. Designing tunable electronic structures to overcome its slow kinetics is an effective strategy. Herein, the molecular ammonium iron sulfate dodecahydrate is employed as the precursor to synthesize the C, N, S triatomic co-doped Fe(Al)OOH on Ni foam (C,N,S-Fe(Al)OOH-NF) with asymmetric electronic structure. Both in situ oxygen vacancies and their special electronic configuration enable the electron transfer between the d-p orbitals and get the increase of OER activity. Density functional theory calculation further indicates the effect of electronic structure on catalytic activity and stability at the oxygen vacancies. In alkaline solution, the catalyst C,N,S-Fe(Al)OOH-NF shows good catalytic activity and stability for water splitting. For OER, the overpotential of 10 mA cm-2 is 264 mV, the tafel slope is 46.4 mV dec-1, the HER overpotential of 10 mA cm-2 is 188 mV, the tafel slope is 59.3 mV dec-1. The stability of the catalyst can maintain ≈100 h. This work has extraordinary implications for understanding the mechanistic relationship between electronic structure and catalytic activity for designing friendly metal (oxy)hydroxide catalysts.

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Ralstonia solanacearum (Rso) causes destructive bacterial wilt across a broad range of host plants by delivering a repertoire of type III effectors. In the present study, we determined that the deletion of the type III effector RipAF1 resulted in increased virulence on Nicotiana benthamiana, Solanum lycopersicum, and Capsicum annuum plants. RipAF1 showed ADP-ribosylation activity in vivo and in vitro. Transient overexpression of RipAF1 suppressed jasmonic acid (JA) signaling and induced salicylic acid (SA) signaling. The ADP-ribosylation activity of RipAF1 was essential for JA and SA signaling mediation. Host fibrillin FBN1 was identified as a RipAF1-interactor that is ADP-ribosylated by RipAF1 directly. Most importantly, the ADP-ribosylation of conserved residues of FBN1 contributes to its localization to the plasma membrane and leads to the suppression of JA signaling and induction of SA signaling. We concluded that RipAF1 mediates antagonistic crosstalk between JA and SA signaling pathways by ADP-ribosylation of FBN1.

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The genus Ainsliaea DC. is one of the major groups within the tribe Pertyeae (Asteraceae). It comprises several important Chinese medicinal species. However, the phylogenetic position has undergone a long process of exploration. The complete chloroplast (cp) genome sequences data has not been employed in species identification and phylogeny of Ainsliaea. In this study, the complete cp genomes of two Ainsliaea species (A. gracilis and A. henryi) were reported, followed by structural, comparative, and phylogenetic analyses within the tribe Peryteae. Both cp genomes displayed a typical quadripartite circular structure, with the LSC and SSC regions separated by the IR regions. The genomes were 152,959 (A. gracilis) and 152,805 (A. henryi) base pairs (bp) long, with a GC content of 37.6%. They were highly conserved, containing 134 genes, including 87 protein-coding genes, 37 tRNA genes, 8 rRNA genes, and 2 pseudogenes (rps19 and ycf1). Moreover, thirteen highly polymorphic regions (e.g., trnK-UUU, trnG-UCC, trnT-GGU, accD-psaI, and rpl22-rps19) were identified, indicating their potential as DNA barcodes. The phylogenetic analysis confirmed the placement of Ainsliaea in the tribe Pertyeae, revealing close relationships with the genera Myripnois and Pertya. In comparison with Ainsliaea, Myripnois was more closely related to Pertya. This study lays a theoretical foundation for future research on species identification, population genetics, resource conservation, and sustainable utilization within Ainsliaea and Pertyeae.