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Translanguaging has been documented to be frequently adopted in day-to-day online interaction. To date, except for Ren and Guo's (2022. Translanguaging in self-praise on Chinese social media. "Applied Linguistics Review" 169. 1-22) pioneering study examining translanguaging practices in online self-praise, there has been scanty focus on how translanguaging is manifested in the realisation of specific speech acts, particularly the face-threatening speech act of refusing. To fill this research gap, the study explores the strategies, distributional patterns, and functions of translanguaging practices in digital refusals through the analysis of naturally occurring data collected on WeChat over five months. The findings indicate that online interlocutors utilized a wide range of translanguaging strategies from multimodal, multilingual, and multi-semiotic resources. Four turn positions are identified in decreasing order of frequency: single turn, turn final, turn medial, and turn initial. Furthermore, translanguaging in refusals denotes interpersonal, expressive, textual, and operational functions, with the first two constituting the majority. Based on these findings, three types of refusals shaped by translanguaging are identified, namely, refusals with translanguaging as a redressive strategy, refusals with translanguaging as a marker of mock impoliteness, and refusals with translanguaging as a facilitator of smooth online communication. The study concludes by highlighting that the nature of the speech act, digital genres and platforms, and the relationship existing between interlocutors contribute to translanguaging practices in online refusals.

Abstract Background The COVID-19 pandemic’s “Great Online Transition” significantly impacted teachers. Existing research on Emergency Remote Teaching (ERT) lacks longitudinal designs and consideration of subject-specific contexts. This study, using the Stressor-Strain-Outcome framework, investigates psychological needs thwarting (PNT) during ERT on teachers’ well-being and online teaching intentions, considering subject of instruction as a potential factor. Methods Data were collected from 1,369 Chinese primary and middle school teachers of Chinese literature, mathematics, and English as a Foreign Language (EFL) at two time points: two weeks after ERT implementation (Time 1, mid-November 2021) and two months later, after returning to face-to-face teaching (Time 2, mid-January 2022). PNT, emotional exhaustion, psychological distress, and intention towards online teaching were evaluated. Results Among the types of PNT, competence thwarting emerged as the strongest predictor of emotional exhaustion, which was, in turn, associated with reduced online teaching intention and increased psychological distress. EFL teachers showed stronger associations between PNT, emotional exhaustion, and adverse outcomes, indicating higher susceptibility to strain during ERT. Conclusion Subject of instruction, particularly for EFL teachers, significantly influences the relationship between PNT and teacher outcomes during ERT. Our findings underscore the need for subject-specific support strategies in online teaching environments.

Abstract Diverse post-translational modifications have been shown to play important roles in regulating protein function in eukaryotes. By contrast, the roles of post-translational modifications in bacteria are not so well understood, particularly as they relate to pathogenesis. Here, we demonstrate post-translational protein modification by covalent addition of lactate to lysine residues (lactylation) in the human pathogen Staphylococcus aureus. Lactylation is dependent on lactate concentration and specifically affects alpha-toxin, in which a single lactylated lysine is required for full activity and virulence in infection models. Given that lactate levels typically increase during infection, our results suggest that the pathogen can use protein lactylation as a mechanism to increase toxin-mediated virulence during infection.

Abstract Objective To explore the effects of cardiac rehabilitation prescriptions on medication complications, Endothelin 1 (ET-1), and Wall Motion Score Index (WMSI) in elderly patients with coronary heart disease. Methods 98 elderly patients with coronary heart disease admitted to the Department of Cardiology of a hospital from January 2020 to June 2022 are selected. According to the red and blue ball method, 98 research subjects are divided into a control group and an observation group. The control group receives routine treatment and exercise intervention, while the observation group receives cardiac rehabilitation prescriptions. After a follow-up of 6 months, the incidence of medication complications between the two groups is compared. The changes in ET-1 and WMSI levels are compared before treatment, 1 month, 3 months, and 6 months after treatment. Results The two groups had no significant difference in ET-1 and WMSI levels before intervention. After intervention, both groups showed significant reductions in ET-1 and WMSI compared with baseline. The ET-1 of the observation group decreased significantly faster than the control group after 1 month, 3 months, and 6 months of intervention. The WMSI decreased more significantly at 6 months. The repeated measurement variance showed that there was a significant difference in the trend of ET-1 changes between the two groups, while the difference between the WMSI groups was not significant. The incidence of medication complications in the observation group was 10.20%, significantly lower than the 26.53% in the control group. Conclusion Cardiac rehabilitation prescriptions can reduce the incidence of medication complications in elderly patients with coronary heart disease. It can reduce ET-1 levels faster, improve myocardial motor function, which has better myocardial function and medication safety than conventional treatment.

Abstract Background Early evaluation of radiation sensitivity in lung cancer patients can facilitate the transition to personalized treatment strategies. To this end, we assessed the capability of 89Zr-anti-γH2AX-TAT microPET imaging in determining the radiosensitivity of lung cancer xenograft models. We prepared and conducted quality control on 89Zr-anti-γH2AX-TAT. The radiosensitivity of human non-small cell lung cancer cells (H460) and adenocarcinoma cells (A549) was analyzed through clonogenic survival experiments. Additionally, the role of γH2AX as a biomarker for radiosensitivity was validated by quantifying γH2AX foci via fluorescence staining. Subsequently, the H460 and A549 xenograft mouse models were subjected to irradiation, followed by 89Zr-anti-γH2AX-TAT microPET imaging. Concurrently, we performed immunofluorescence staining for γH2AX in tumor tissues to establish a correlation between the uptake of 89Zr-anti-γH2AX-TAT and γH2AX expression. Results The surviving fraction 2 Gy (SF2) values of H460 and A549 indicating that A549 adenocarcinoma has higher radiosensitivity. The cell immunofluorescence experiment showed that the repair of γH2AX foci in H460 cells after irradiation was significantly higher than that in A549 cells, which also confirmed that A549 has higher radiosensitivity. The microPET imaging results showed the uptake of 89Zr-anti-γH2AX-TAT in the tumor of the A549 models after radiotherapy was higher than H460 models. The immunofluorescence staining of tumor tissue confirmed that the expression level of γH2AX was higher and the correlation with microPET imaging uptake was good. Conclusion 89Zr-anti-γH2AX-TAT allows PET imaging of radiosensitivity in lung cancer xenograft models, and is expected to become an early evaluation method for lung cancer radiosensitivity.

Abstract Chromosome microarray analysis (CMA) and whole exome sequencing (WES) are increasingly utilized in prenatal diagnosis of abnormal ultrasound findings, but studies on correlation between pathogenic copy number variations (pCNVs) and single-gene mutations in fetuses with nuchal translucency (NT) thickening/cystic hygroma (CH), and pregnancy outcomes, are rare. This study aimed to investigate clinical value of CMA and WES for NT thickening/CH in fetuses, explore genetic correlation between fetal NT thickening and CH, and analyze pregnancy outcomes. We retrospectively selected 215 pregnant women diagnosed with fetal NT thickening (NT > 95th)/CH who underwent invasive prenatal diagnosis at our hospital from January 2020 to June 2022. With negative chromosomal karyotype analysis (KA) and CMA results, patients voluntarily underwent WES. Patients were grouped by NT thickening/CH, and application value of KA, CMA, and WES examined. Ultrasound findings, pregnancy outcomes, and fetal growth post-birth were followed during mid/late pregnancy and post-delivery. Abnormalities in chromosomal number were detected in 28 of 215 samples, with a detection rate of 13.0%, and pCNVs were detected in 12 cases, with a detection rate of 5.6%. The most common abnormality in fetuses from both groups suggested by CMA was 22q11.21 microdeletion-microduplication syndrome. 35 patients with negative KA and CMA results underwent WES, and single gene variants were detected in 12 fetuses, with an abnormality rate of 34.3%. The incidence of adverse pregnancy outcomes was 28.2% in the NT thickening group and 82.9% in the CH group (P

Abstract The obese heart undergoes metabolic remodeling and exhibits impaired calcium (Ca2+) homeostasis, which are two critical assaults leading to cardiac dysfunction. The molecular mechanisms underlying these alterations in obese heart are not well understood. Here, we show that the Rab-GTPase activating protein AS160 is a lipid-responsive regulator of Ca2+ homeostasis through governing lysophosphatidylinositol metabolism and signaling. Palmitic acid/high fat diet inhibits AS160 activity through phosphorylation by NEK6, which consequently activates its downstream target Rab8a. Inactivation of AS160 in cardiomyocytes elevates cytosolic Ca2+ that subsequently impairs cardiac contractility. Mechanistically, Rab8a downstream of AS160 interacts with DDHD1 to increase lysophosphatidylinositol metabolism and signaling that leads to Ca2+ release from sarcoplasmic reticulum. Inactivation of NEK6 prevents inhibition of AS160 by palmitic acid/high fat diet, and alleviates cardiac dysfunction in high fat diet-fed mice. Together, our findings reveal a regulatory mechanism governing metabolic remodeling and Ca2+ homeostasis in obese heart, and have therapeutic implications to combat obesity cardiomyopathy.

Abstract Background In this study, we investigated the patient population of Mucopolysaccharidosis type II (MPS II) in China, understood the basic situation, prevalence and diagnosis and treatment status of the patients, as well as the economic burden of the patients, and analyzed the influencing factors. Methods A cross-sectional study focusing on patients with MPS II was conducted in China in 2023. Participants in the study were drawn from the Beijing Zhengyu Mucopolysaccharide Rare Disease Care Center, which is the only non-profit organization in mainland China registered with the civil affairs department that focuses on mucopolysaccharidosis. Data were collected through an online questionnaire, which included basic patient information, disease status, self-assessment of quality of life, diagnosis and treatment, as well as direct and indirect medical costs. The demographic and diagnosis and treatment profile of patients were analyzed by descriptive statistics. Furthermore, univariate and multiple linear regression were used to explore the economic burden and influencing factors of patients with MPS II. Results The survival data of 145 patients were collected, the majority (98.62%) were male, and 78 were less than or equal to 10 years old. All patients were covered by medical insurance, mainly urban residents (135 cases). In terms of expenses, the 124 patients in the year before the survey incurred a total cost of about 14.7895 million yuan, and the direct economic burden accounted for 87.19%. Univariate analysis showed that age, number of hospitalizations, length of hospital stay, number of outpatient/emergency departments, hematopoietic stem cell transplantation (HSCT), and enzyme replacement therapy (ERT) were significantly associated with the economic burden of disease. Multiple regression analysis showed that the number of hospitalizations, days of hospitalization, number of outpatient/emergency departments and HSCT treatment were the main influencing factors. Conclusions This study found that patients with MPS II were difficult to diagnose and easily misdiagnosed, their physical functions were impaired in many aspects. The existing treatment options are not sufficient in terms of economy and effectiveness, and there is also a lack of corresponding policy guarantees and support, which makes patients and their families have to face huge financial pressure.

Abstract Background The increasing antimicrobial resistance caused by the improper use of antibiotics poses a significant challenge to humanity. Rapid and accurate identification of microbial species in clinical settings is crucial for precise medication and reducing the development of antimicrobial resistance. This study aimed to explore a method for automatic identification of bacteria using Volatile Organic Compounds (VOCs) analysis and deep learning algorithms. Results AlexNet, where augmentation is applied, produces the best results. The average accuracy rate for single bacterial culture classification reached 99.24% using cross-validation, and the accuracy rates for identifying the three bacteria in randomly mixed cultures were SA:98.6%, EC:98.58% and PA:98.99%, respectively. Conclusion This work provides a new approach to quickly identify bacterial microorganisms. Using this method can automatically identify bacteria in GC-IMS detection results, helping clinical doctors quickly detect bacterial species, accurately prescribe medication, thereby controlling epidemics, and minimizing the negative impact of bacterial resistance on society.

Abstract Background The zoonotic infectious diseases of poverty (zIDPs) are a group of diseases contributing to global poverty, with significant impacts on a substantial population. This study aims to describe the global, regional, and national burden of zIDPs—schistosomiasis, cystic echinococcosis, cysticercosis, and food-borne trematodiases (FBTs)—to support policy making and resource allocation for their control and elimination. Methods Data of zIDPs from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 were retrieved from 1990 to 2021. The age-standardized prevalence rate (ASPR), age-standardized mortality rate (ASMR), and age-standardized disability-adjusted life-year (DALY) rate were described and the estimated annual percentage changes (EAPCs) were calculated to quantify their burden and temporal trends. Spearman correlation analysis was conducted to examine the relationship between age-standardized rates and Socio-demographic Index (SDI). Results In 2021, these zIDPs exhibited a certain level of ASPRs and age-standardized DALY rates, while maintaining relatively low ASMRs. Noticeably, schistosomiasis presented the highest ASPR of 1914.299 (95% UI: 1378.920, 2510.853 per 100,000 population) and an age-standardized DALY rate of 21.895 (95% UI: 12.937, 37.278 per 100,000 population) among the zIDPs. The tapestry of burden—woven predominantly through low and lower-middle SDI regions—stretched across Africa, Latin America, and parts of Asia. From 1990 to 2021, a kaleidoscopic shift was observed globally as ASPRs, ASMRs, and age-standardized DALY rates declined significantly, as reflected by the EAPC values. Negative correlations were observed between the ASPRs, ASMRs, age-standardized DALY rates of schistosomiasis (r value = − 0.610, − 0.622 and − 0.610), cystic echinococcosis (− 0.676 of ASMR, − 0.550 of age-standardized DALYs), cysticercosis (− 0.420, − 0.797 and − 0.591) and the SDI. In contrast, a slight positive correlation was noted between the ASPR, age-standardized DALY rates of FBTs and SDI with r value of 0.221 and 0.213, respectively. Conclusion The burden of zIDPs declined across almost all endemic regions from 1990 to 2021, yet still predominated in low and low-middle SDI regions. Substantial challenges exist to achieve the goal of control and elimination of zIDPs, and integrated approaches based on One Health need to be strengthened to improve health outcomes. Graphical Abstract

AIM: To compare the safety and clinical outcomes of subconjunctival trypsin and dexamethasone (DEX) injections in the treatment of anterior chamber fibrin exudates in eyes with globe rupture following primary wound repair and vitrectomy. METHODS: A retrospective analysis included 42 males and 10 females (mean age 46.0±6.0y, range 34 to 58y) who underwent primary wound sutures and vitrectomy for globe rupture. Patients with pupil-covered fibrinous exudate or/and membrane in the anterior chamber were treated. On the first postoperative day, subconjunctival injections of either 5000 units (0.4 mL) of trypsin solution (n=25) or 0.5 mL (1 mg) DEX (n=27) were administered to accelerate exudate absorption. Efficacy was assessed by observing break time and partial absorption of the fibrin exudate membrane. Safety and comfort were evaluated by monitoring intraocular pressure (IOP), allergy, pain, and foreign body sensation. RESULTS: Both groups achieved 1/3 absorption of the anterior chamber fibrin exudate membrane, but the trypsin group exhibited shorter break time and partial absorption time compared to the DEX group (P

Diabetic hyperglycemia in males is a significant contributing factor to the development of spermatogenesis disorder. The hypothalamic-pituitary-gonadal (HPG) axis serves as a crucial center for autonomic sexual function and the neuroendocrine network within the human body. It dominates physiological prominence in human reproduction, growth, and development, while also being susceptible to hyperglycemia, which is one of the key mechanisms in the development of spermatogenic disorder in type 2 diabetes mellitus (T2DM). This mechanism involves kidney deficiency, which is a common etiology and pathogenesis of both spermatogenesis disorder and T2DM. The kidney storing essence, which encompasses the functions of "dominating reproduction, manufacturing marrow to fill up the brain" bears similarities to the HPG axis. Kidney tonifying therapy can regulate and improve the function of HPG axis, thereby establishing a theoretical basis for the use of kidney tonification therapy in the treatment of spermatogenesis disorder in T2DM. The traditional formula of tonifying the kidney can serve as a complementary treatment for both DM and spermatogenesis disorder. This approach offers a conceptual framework and methodology for the prevention and treatment of T2DM-induced infertility through kidney tonification.

Abstract The sparse Bayesian learning (SBL) algorithm has demonstrated its advantage in the direction of arrival (DOA) estimation. However, it requires a lot of computational cost to iteratively estimate the SBL hyperparameters from measurement data. This paper focuses on fast estimating the array shape and DOAs using SBL for a short towed line array (TLA) during manoeuvring. A parabolic model is utilised to describe the bent TLA whose bow as a hyperparameter is estimated in the SBL iterative process. Then, the basis vector pruning strategy is considered in the iteration to reduce computational cost by neglecting the impossible directions of signal presence. The converged speed of the joint estimation algorithm is further improved by approximately calculating the posterior probability density with the message passing approach. The effectiveness of the optimising joint estimation algorithm is verified using the experimental results from South China Sea.

Abstract The Cardiometabolic Index (CMI) represents an innovative metric that encompasses abdominal obesity and lipid levels, offering a comprehensive assessment of cardiometabolic health. It is derived through the multiplication of the waist-to-height ratio by the triglyceride-to-high-density lipoprotein cholesterol ratio. Although obesity and blood lipid levels are known factors affecting sleep quality, the direct correlation between CMI and sleep quality has yet to be elucidated. This study uses NHANES data to explore the potential correlation between CMI and sleep quality. Our research employed a cross-sectional design, utilizing data from the National Health and Nutrition Examination Survey (NHANES) spanning 2011 to 2014. CMI was used as the exposure variable, with sleep quality assessed through three self-reported measures: trouble sleeping, sleep disorders, and sleep duration. We employed multivariate logistic regression models and linear regression model as well as subgroup analyses to explore the independent relationship between CMI and sleep quality. Additionally, interaction tests were conducted to examine differences across various subgroups. The study included 4298 participants, comprising 2134 males and 2164 females. There was a positive correlation between CMI and trouble sleeping (OR = 1.63, 95% CI 1.28–2.08) and sleep disorders (OR = 1.96, 95% CI 1.43–2.67), while there was a negative correlation between CMI and sleep duration (β = − 0.17, 95% CI − 0.31 to − 0.03), indicating that a higher CMI was associated with shorter sleep duration. Subgroup analyses and interaction tests revealed a consistently positive association between CMI and sleep difficulty across various populations, including gender, age, hypertension, diabetes, and cardiovascular disease history. However, the relationship between CMI and sleep disorders was more prominent among participants aged 50 and above. In American adults, a higher CMI is linked to an increased prevalence of sleep disturbances. In clinical practice, CMI can be considered as a supplementary factor in the assessment and management of sleep problems. Our study also provided new insights for improving sleep quality.

Abstract Objective Chemotherapy during pregnancy has a certain risk of causing a series of complications, such as miscarriage, premature birth, or fetal growth restriction, although the relationship between these complications and chemotherapy is currently unclear. This experiment focuses on the possible damage mechanism of the chemotherapeutic drug paclitaxel on placental trophoblast cells, and explores whether chemotherapy can affect pregnancy outcomes by directly damaging placental tissue. Methods This study explored the mechanism of paclitaxel induced damage on placental trophoblast cell lines JEG-3 and BEWO through immunofluorescence staining, Western blot experiments, cell flow cytometry, Seahorese cell metabolism experiments, and mouse modeling verification. Results The experiment found that paclitaxel could induce JEG-3 and BEWO cells to produce reactive oxygen species (ROS), and elevate the ratio of Bax/Bcl-2 expression. Besides, paclitaxel mediated the reduction of mitochondrial membrane potential in JEG-3 and BEWO cells, causing damage and leading to mitochondrial autophagy and the occurrence of unfolded protein response. Paclitaxel inhibited the glycolysis rate of JEG-3 and BEWO cells, and leaded to impaired mitochondrial function, including decreased basal respiratory values, decreased respiratory reserve capacity, and proton leakage. In pregnant mice with tumor modeling, paclitaxel could cause DNA damage in placental tissue cells, and might lead to apoptosis of chemotherapy mice placental tissue cells and impairment of normal physiological functions. Conclusion Paclitaxel may directly or indirectly affect the normal physiological functions of placental trophoblast cells, including energy metabolism and protein synthesis dysfunction, which may be related to the adverse pregnancy outcomes caused by paclitaxel chemotherapy.

To reveal the chemical composition profile of Camellia ptilophylla, a rare natural low-caffeine tea variety, non-targeted metabolomics based on high-resolution mass spectrometry (HR-MS) was employed to identify the metabolite composition of green tea and black tea from C. ptilophylla and C. sinensis var. assamica. Additionally, the metabolomic differences between the two types of tea and between the two tea varieties were analyzed using principal component analysis (PCA), cluster analysis (CA), and orthogonal partial least squares-discriminant analysis (OPLS-DA). Differential metabolites were identified using standards and database. A total of 152 metabolites were identified in the four tea samples, the major ones being flavonoids (42%). These metabolites were categorized into four clusters. The metabolomic difference between C. ptilophylla and C. sinensis var. assamica was more pronounced than that between green and black teas. Notably, 24 metabolites including theasinensin B isomers, theobromine and 14 flavonoids such as tetrahydroxyxanthone and epitheaflagallin 3-O-gallate, which were more abundant in C. ptilophylla green tea than in C. sinensis green tea, were considered as the characteristic metabolites of C. ptilophylla green tea. In black tea from C. ptilophylla, 40 characteristic metabolites were identified including 25 flavonoids such as gallocatechin-3,5-digallate, tetrahydroxyxanthone and dihydromyricetin; 4 tannins such as theaflavin 3-gallate, theasinensin A isomers and theaflavin 3,3’-digallate; and theobromine. This study provides a reference for further exploration of bioactive compounds in C. ptilophylla.

Abstract Object Promoting the accessibility and equity of healthcare services, as well as enhancing service capacity, are crucial for building a sound healthcare system. Particularly in the past two years of the normalized COVID-19 situation, this issue has garnered widespread attention in the academic community. This study aims to investigate and analyze the characteristics and trends of the spatial-temporal evolution of healthcare service supply levels in China. It also seeks to explore the influencing factors and pathways for development, with the goal of optimizing the allocation of healthcare resources. Methods This article uses the entropy weight TOPSIS method combined with Dagum Gini coefficient and Kernel density to evaluate the supply level of healthcare services in 31 provinces and cities in China from 2012 to 2020, and explores its development and spatial pattern characteristics. Then, through Moran index, panel regression model and spatial econometric testing, the spatial correlation problem and its influencing factors are further analyzed, and targeted policy recommendations are proposed based on it, laying the foundation for further promoting the balanced development of healthcare service supply capacity. Results (1) Healthcare services supply levels in various provinces and cities in China have significantly increased, with a shift in spatial distribution from ‘higher in the east and lower in the west’ to ‘convergence between east and west, with lower levels in the central regions.’ (2) Relative differences among regions are narrowing annually, primarily due to interactions between the four regions rather than within each region, with expanding impact of overlapping regions. (3) Absolute differences among regions are also decreasing, moving towards uniformity with a contraction of extension and a restraint on the trend towards multipolarization. (4) Spatial correlation between adjacent regions is weakening, eventually becoming non-significant, with fading spatial effects. (5) The correlation between local economic development, population factors, institutional arrangements, and the current state of supply is significant, and the research design and conclusions remain robust even after thorough consideration of spatial effects. The study explores the development pathways based on the objective existence of regional development and the controllable government actions. Conclusion The overall level of healthcare service supply in China has improved, but regional differences still exist. The objective level of regional development and the subjective behavior of local governments have a significant impact on the supply of healthcare services. Therefore, it is recommended that each region adapt to local conditions, identify its own strengths and weaknesses, coordinate resource supply and demand, consider the impact of key factors, and optimize the allocation of healthcare development resources.

Abstract Arthroscopic capsular release is a most well-known technique with favorable outcomes for frozen shoulder. However, considering the surgical trauma and the improvement of multisite injection, we design a study to compare the pain relief and safety of multisite injection (MI) versus arthroscopic capsular release (ACR) for frozen shoulder. A total of 80 patients with unilater al frozen shoulder were enrolled in this study. Group RBT (n = 40) received multisite injection (0.5% lidocaine and triamcinolone acetonide, once a week, no more than 2 injections), while Group ACR received arthroscopic capsular release. The following parameters were employed to compare: visual analog scale (VAS), range of motion (ROM), the Disability of Arm, Hand, and Shoulder (DASH) score and Oxford shoulder score (OSS). Side effects were also recorded. The VAS, ROM, DASH and OSS all improved significantly (P

Abstract To understand the microbial diversity and community composition within the main constructive tree species, Picea crassifolia, Betula platyphylla, and Pinus tabuliformis, in Helan Mountain and their response to changes in soil physicochemical factors, a high throughput sequencing technology was used to analyze the bacterial and fungal diversity and community structure. RDA (Redundancy Analysis) and Pearson correlation analysis were used to explore the influence of soil physicochemical factors on microbial community construction, and co-occurrence network analysis was conducted on the microbial communities. The results showed that the fungal and bacterial diversity was highest in B. platyphylla, and lowest in P. crassifolia. Additionally, the fungal/bacterial richness was greatest in the rhizosphere soils of P. tabuliformis and B. platyphylla. RDA and Pearson correlation analysis revealed that NN (nitrate nitrogen) and AP (available phosphorus) were the main determining factors of the bacterial community, while NN and SOC (soil water content) were the main determining factors of the fungal community. Pearson correlation analysis between soil physicochemical factors and the alpha diversity of the microbial communities revealed a significant positive correlation between pH and the bacterial and fungal diversity, while SOC, TN (total nitrogen), AP, and AN (available nitrogen) were significantly negatively correlated with the bacterial and fungal diversity. Co-occurrence network analysis revealed that the soil bacterial communities exhibit richer network nodes, edges, greater diversity, and greater network connectivity. Indicating that bacterial communities exhibit more complex and stable interaction patterns in soil. This study reveals the complex interactive relationship between microbial communities and soil physicochemical factors in forest ecosystems. By analyzing the response of rhizosphere microbial communities of major tree species in Helan Mountain to nutrient dynamics and pH changes, we can deepen our understanding of the role of microorganisms in regulating ecosystem functions and provide theoretical basis for soil improvement and ecological restoration strategies.

Abstract Background Docetaxel (DTX) resistance attenuates anti-tumor effects of DTX on prostate cancer (mCRPC) and drug resistance was related to Treg expansion in tumors. ZNF667-AS1 played a suppressing role in various tumors and tumor-derived exosomes carry lncRNAs to participate in tumor progression. Here, the effects of ZNF667-AS1 on malignant characteristics and DTX resistance in PC and the effect and its underlying molecular mechanism of tumor-derived exosomes carrying ZNF667-AS1 on Treg expansion were investigated. Methods The identification of exosomes were determined using TEM, NTA and western blot. The abundance of genes and proteins were evaluated using IHC, RT-qPCR, western blot and FISH. Malignant phenotypes of PC cells were evaluated by means of Edu, scratch test, transwell, CCK-8 and flow cytometry. The percentage of CD4+CD25+Foxp3+ Tregs was detected using flow cytometry. The location of ZNF667-AS1 was detected using nuclear-cytoplasmic fractionation. The co-location of ZNF667-AS1 and U2AF1 protein was detected using IF-FISH assay. The interactions among ZNF667-AS1, TGFBR1 and U2AF1 were verified using RNA pull-down, RIP and dual luciferase activity. Results ZNF667-AS1 expression in PC samples was lowered, which was negatively relative to poor prognosis and DTX resistance. ZNF667-AS1 overexpression inhibited malignant phenotypes of PC cells, tumor growth and DTX resistance. Besides, DTX resistant cell-derived exosomes expressed lower ZNF667-AS1 expression. Exosomes carrying exogenously high ZNF667-AS1 expression derived PC cells or serum of mice suppressed Treg expansion. On the mechanism, ZNF667-AS1 interacted with U2AF1 to destabilize TGFBR1 mRNA and reduce TGFBR1 expression in CD4+T cells. Conclusion ZNF667-AS1 suppressed cell growth of PC cells, tumor growth of mice and DTX resistance to PC cells and exogenously high ZNF667-AS1 expression in tumor-derived exosomes destabilized TGFBR1 mRNA and reduce TGFBR1 expression through interacting with U2AF1, thus resulting in attenuated Treg expansion, which was related to DTX resistance.

Abstract Despite the broad potential applications of C-glycosides, facile synthetic methods remain scarce. Transforming glycosyltransferases with promiscuous or natural O-specific chemoselectivity to C-glycosyltransferases is challenging. Here, we employ rational directed evolution of the glycosyltransferase MiCGT to generate MiCGT-QDP and MiCGT-ATD mutants which either enhance C-glycosylation or switch to O-glycosylation, respectively. Structural analysis and computational simulations reveal that substrate binding mode govern C-/O-glycosylation selectivity. Notably, directed evolution and mechanism analysis pinpoint the crucial residues dictating the binding mode, enabling the rational design of four enzymes with superior non-inherent chemoselectivity, despite limited sequence homology. Moreover, our best mutants undergo testing with 34 substrates, demonstrating superb chemoselectivities, regioselectivities, and activities. Remarkably, three C-glycosides and an O-glycoside are produced on a gram scale, demonstrating practical utility. This work establishes a highly selective platform for diverse glycosides, and offers a practical strategy for creating various types of glycosylation platforms to access pharmaceutically and medicinally interesting products.

Abstract Background Though the survival of breast cancer (BC) patients with malignant pleural effusion (MPE) has been studied, this has not been specifically studied in the luminal B subtype. Therefore, this study investigated the characteristics and survival of luminal B-BC patients presenting with MPE. Methods We retrospectively analyzed 141 patients diagnosed with postoperative advanced Luminal B breast cancer, including 54 cases with MPE and 87 cases without MPE at the Tianjin Cancer Hospital from January 2012 to January 2015. We assessed the clinical characteristics between the groups. Results The mean age of all patients was 47 years, with no significant difference between the two groups. Altogether, 29 (33%), 24 (28%), 28 (32%), 45 (52%), and 10 (11%) patients had lung, liver, bone, lymph node, and chest wall metastases, respectively. In addition. The difference in overall survival between the two groups was not significant (P>0.05). However, cox regression analysis showed that only the tumor clinical stage at initial diagnosis was related to short overall survival. Further, we conducted a subgroup analysis and found that the higher the clinical stage at initial diagnosis in age 50 years patients was not. (P

Abstract Alzheimer's disease (AD) has emerged as the most prevalent and complex neurodegenerative disorder among the elderly population. However, the genetic comorbidity etiology for AD remains poorly understood. In this study, we conducted pleiotropic analysis for 41 AD phenotypic comorbidities, identifying ten genetic comorbidities with 16 pleiotropy genes associated with AD. Through biological functional and network analysis, we elucidated the molecular and functional landscape of AD genetic comorbidities. Furthermore, leveraging the pleiotropic genes and reported biomarkers for AD genetic comorbidities, we identified 50 potential biomarkers for AD diagnosis. Our findings deepen the understanding of the occurrence of AD genetic comorbidities and provide new insights for the search for AD diagnostic markers. Graphical Abstract Study pipeline.

Abstract Preeclampsia (PE) is a common placental-origin complication of pregnancy and a major cause of morbidity and mortality among pregnant women and fetuses. However, its pathogenesis has not been elucidated. Effective strategies for prevention, screening, and treatment are still lacking. Studies have indicated that dysfunction of placental trophoblast cells, such as impaired syncytialization, proliferation, and epithelial-mesenchymal transition processes, plays a crucial role in the development of PE. Glucose transporter 1 (GLUT1) is a key protein regulating glucose transport in placental tissues. However, the effect of GLUT1 on the function of trophoblast cells in PE is not well understood. In this study, we found that GLUT1 expression is reduced in PE placental tissues. GLUT1 promotes the syncytialization process by increasing the glucose uptake ability of BeWo cells. Additionally, GLUT1 promotes the proliferation, migration, and invasion capabilities of HTR-8/SVneo cells by regulating MAPK and PI3K/AKT signaling pathways. Overall, these findings provide a new insight into understanding the biological functions of GLUT1, clarifying the pathogenesis of PE, and identifying diagnostic and therapeutic targets for PE.

Abstract Urolithiasis is a leading urological disorder where accurate preoperative identification of stone types is critical for effective treatment. Deep learning has shown promise in classifying urolithiasis from CT images, yet faces challenges with model size and computational efficiency in real clinical settings. To address these challenges, we developed a non-invasive prediction approach for determining urinary stone types based on CT images. Through the refinement and improvement of the self-distillation architecture, coupled with the incorporation of feature fusion and the Coordinate Attention Module (CAM), we facilitated a more effective and thorough knowledge transfer. This method circumvents the extra computational expenses and performance reduction linked with model compression and removes the reliance on external teacher models, markedly enhancing the efficacy of lightweight models. achieved a classification accuracy of 74.96% on a proprietary dataset, outperforming current techniques. Furthermore, our method demonstrated superior performance and generalizability on two public datasets. This not only validates the effectiveness of our approach in classifying urinary stones but also showcases its potential in other medical image processing tasks. These results further reinforce the feasibility of our model for actual clinical deployment, potentially assisting healthcare professionals in devising more precise treatment plans and reducing patient discomfort.

ABSTRACT Aims Diabetes mellitus (DM) is closely associated with Alzheimer's disease (AD), and is considered an accelerator of AD. Our previous study has confirmed that the Calpain inhibitor Calpeptin may alleviate AD‐like complications of diabetes mellitus. This work further investigated its underlying mechanism. Materials and Methods Diabetes mellitus rat model was constructed by a high‐fat and high‐sugar diet combined with streptozotocin, followed by the administration of Calpeptin. Moreover, rats were micro‐injected with LV‐TXNIP‐OE/vector into the CA1 region of the hippocampus one day before streptozotocin injection. The Morris water maze test assessed the spatial learning and memory ability of rats. Immunohistochemistry and western blotting detected the expression of the pericyte marker PDGFRβ, tight junction proteins occludin and ZO‐1, calpain‐1, calpain‐2, APP, Aβ, Aβ‐related, and TXNIP/NLRP3 inflammasome‐related proteins. Immunofluorescence staining examined the blood vessel density and neurons in the hippocampus. Evans blue extravasation and fluorescence detected the permeability of the blood–brain barrier (BBB) in rats. Additionally, the oxidative stress markers and inflammatory‐related factors were assessed by enzyme‐linked immunosorbent assay. Results Calpeptin effectively reduced the expression of Calpain‐2 and TXNIP/NLRP3 inflammasome‐related proteins, improved the decreased pericyte marker (PDGFR‐β) and cognitive impairment in hippocampus of DM rats. The neuronal loss, microvessel density, permeability of BBB, Aβ accumulation, inflammation, and oxidative stress injury in the hippocampus of DM rats were also partly rescued by calpeptin treatment. The influence conferred by calpeptin treatment was reversed by TXNIP overexpression. Conclusions These data demonstrated that calpeptin treatment alleviated AD‐like symptoms in DM rats through regulating TXNIP/NLRP3 inflammasome. Thus, calpeptin may be a potential drug to treat AD‐like complications of diabetes mellitus.

The objective of this study was to evaluate the reproduction and production performance and meat quality characteristics of KBF4, a crossbreed of South African Kalaha (SK) and Guizhou black (GB) goats (5/11 SK lineage and 11/16 GB lineage), which was developed through molecular breeding and hybridization after four generations of breeding in six years. KBF4 showed overall improved production performance and meat quality, which were between those of its parents. The lambing rate (LR), survival rate (SR), daily weight gain (DWG) during the first three months of age, adult body weight (ABW), and dressing percentage (DP) of KBF4 were 195.0%, 95.3%, 275.5 g, 55.8 kg, and 53.5%, respectively. The pH of the meat of KBF4 was higher than that of its parents, which corroborated the meat of KBF4 had lower drip loss (DL) and moisture content (MC). In addition, the meat of KBF4 showed decreased ash content of decreased and increased contents of crude protein (CP) and intramuscular fat (IMF) compared with the parents. The amino acid score of the meat of KBF4 was lower than that of its parents, but the amino acid composition and the taste profile were basically consistent with those of SK, and KBF4 was slightly inferior to GB in terms of sweet and umami taste. The contents of essential fatty acids (EFA), monounsaturated fatty acids (MUFA), and polyunsaturated fatty acids (PUFA) increased in the meat of KBF4 compared with its parents, and the contents of beneficial fatty acids including oleic acid, palmitoleic acid, linoleic acid, arachidonic acid, alpha-linolenic acid, eicosapentaenoic acid (EPA), and docosahexaenioc acid (DHA) increased compared with GB. The hypocholesterolemic fatty acid (DFA) values of KBF4 increased significantly, while the arteriosclerosis index (AI), thrombosis index (TI), and n-6/n-3 PUFA ratio decreased significantly compared with those of GB, indicating a reduced cardiovascular disease risk. The major factors influencing the meat quality of KBF4 and its parents included DWG, MUFA, taste-active amino acids (AA), SFA, MC, EFA, PUFA, ABW, DP, CP, DL, IMF, and aromatic AA. In conclusion, KBF4 exhibited greatly improved production efficiency and enhanced meat quality in terms of tenderness, juiciness, and nutrition. Its amino acid and fatty acid composition was more similar to that of SK overall.

Abstract Background The utilization of ultrapure dialysate has been shown to decrease dialysate contamination and mitigate inflammatory responses. The central dialysate delivery system (CDDS) has the potential to attain a level of purity similar to ultrapure dialysate. Nevertheless, there is limited research examining the impact of CDDS on inflammation in comparison to single-patient dialysis fluid delivery system(SPDDS). This study aims to investigate the effects of CDDS utilizing ultrapure dialysate on ameliorating the microinflammatory state in hemodialysis patients. Method A retrospective cohort clinical study enrolled a total of 125 hemodialysis patients, with 58 patients from the CDDS unit and 67 patients from the SPDDS unit. Each participant was monitored for a period of 6 months, and the repeated measurement data was analyzed using a generalized linear mixed models (GLMM). Results The average age of the studty cohort was 56.22 ± 12.64 years. The GLMM analysis showed a significant time*group interaction effect on hs-CRP changes over the follow-up period (β = -1.966, FTime* CDDS group = 13.389, P

Abstract Aim To construct evidence-based sensitive quality indicators for patients’ rapid rehabilitation care after combined pancreaticoduodenectomy (PD) and to provide a reference for clinical nursing professionals to scientifically evaluate the quality of patients’ rehabilitation post-PD. Background Since PD is associated with higher surgical risk and anastomotic complications, it leads to higher complication rates and longer postoperative recovery cycles. This reiterates the need for rapid recovery of patients after PD; however, the evaluation of sensitive nursing care indicators regarding rapid recovery post-PD has not yet been established to date. Methods Based on the Donabedian structure-process-result theory model, we used available literature, semi-structured interviews, the Delphi method, and hierarchical analysis to establish a sensitive indicator system for patients’ rapid rehabilitation after PD and evaluate the importance of such indicators. Results There were two rounds of expert correspondence, and the effective recovery rate of the questionnaires of these rounds was 100%. The expert authority coefficients, as well as the Kendall coordination coefficients of the expert opinions, were 0.859 and 0.872 as well as 0.423 and 0.431, with statistically significant differences (p

Abstract Background Kidney transplantation is the optimal renal replacement therapy for children with end-stage renal disease; however, delayed graft function (DGF), a common post-operative complication, may negatively impact the long-term outcomes of both the graft and the pediatric recipient. However, there is limited research on DGF in pediatric kidney transplant recipients. This study aims to develop a predictive model for the risk of DGF occurrence after pediatric kidney transplantation by integrating donor and recipient characteristics and utilizing machine learning algorithms, ultimately providing guidance for clinical decision-making. Methods This single-center retrospective cohort study includes all recipients under 18 years of age who underwent single-donor kidney transplantation at our hospital between 2016 and 2023, along with their corresponding donors. Demographic, clinical, and laboratory examination data were collected from both donors and recipients. Univariate logistic regression models and differential analysis were employed to identify features associated with DGF. Subsequently, a risk score for predicting DGF occurrence (DGF-RS) was constructed based on machine learning combinations. Model performance was evaluated using the receiver operating characteristic curves, decision curve analysis (DCA), and other methods. Results The study included a total of 140 pediatric kidney transplant recipients, among whom 37 (26.4%) developed DGF. Univariate analysis revealed that high-density lipoprotein cholesterol (HDLC), donor after circulatory death (DCD), warm ischemia time (WIT), cold ischemia time (CIT), gender match, and donor creatinine were significantly associated with DGF (P

Abstract Background Macrophage pyroptosis is a pivotal inflammatory mechanism in sepsis-induced lung injury, however, the underlying mechanisms remain inadequately elucidated. Methods Lipopolysaccharides (LPS)/adenosine triphosphate (ATP)-stimulated macrophages and cecal ligation and puncture (CLP)-induced mouse model for sepsis were established. The levels of key molecules were examined by qRT-PCR, Western blotting, immunohistochemistry (IHC) and ELISA assay. The subcellular localization of circMAPK1 was detected by RNA fluorescence in situ hybridization (FISH). Cell viability, LDH release and caspase-1 activity were monitored by CCK-8, LDH assays, and flow cytometry. The bindings between KDM2B/H3K36me2 and WNK1 promoter was detected by chromatin immunoprecipitation (ChIP) assay and luciferase assay, and associations among circMAPK1, UPF1 and KDM2B mRNA were assessed by RNA pull-down or RNA immunoprecipitation (RIP) assays. The pathological injury of lung tissues was evaluated by lung wet/dry weight ratio and hematoxylin and eosin (H&E) staining. Results CircMAPK1 was elevated in patients with septic lung injury. Knockdown of circMAPK1 protected against LPS/ATP-impaired cell viability and macrophage pyroptosis via WNK1/NLRP3 axis. Mechanistically, loss of circMAPK1 enhanced the association between KDM2B and WNK1 promoter to promote the demethylation of WNK1 and increase its expression. CircMAPK1 facilitated KDM2B mRNA decay by recruiting UPF1. Functional experiments showed that silencing of KDM2B or WNK1 counteracted circMAPK1 knockdown-suppressed macrophage pyroptosis. In addition, silencing of circMAPK1 alleviated CLP-induced lung injury in mice via KDM2B/WNK1/NLRP3 axis. Conclusion CircMAPK1 exacerbates sepsis-induced lung injury by destabilizing KDM2B mRNA to suppress WNK1 expression, thus facilitating NLRP3-driven macrophage pyroptosis.

Abstract Background Accurate identification of the etiology of lower respiratory tract infections (LRTI) is crucial, particularly for immunocompromised patients with more complex etiologies. The advent of next-generation sequencing (NGS) has enhanced the effectiveness of pathogen detection. However, assessments of the clinical diagnostic value of targeted NGS (tNGS) in immunocompromised patients with LRTI are limited. Methods To evaluate the diagnostic value of tNGS in immunocompromised patients with LRTI, a total of 88 patients, of whom 54 were immunocompromised, were enrolled. These patients underwent tNGS testing of bronchoalveolar lavage fluid (BALF). Results from both metagenomic next-generation sequencing (mNGS) and conventional microbiological tests (CMT) were also available for all participants. The performance of tNGS was assessed by comparing its findings against mNGS, CMT, and the clinical composite diagnosis. Results In the cohort of 88 patients, tNGS showed comparable diagnostic value to mNGS and was significantly superior to CMT. Compared to CMT and composite reference standard, tNGS showed sensitivity of 94.55% and 90.48%, respectively. In immunocompromised patients, despite a more diverse pathogen variety, tNGS maintained similar sensitivity to mNGS and outperformed CMT. tNGS positively influenced etiologic diagnosis and antibiotic decision-making in 72.72% of cases, leading to a change in antibiotic regimen in 17.05% of cases. We also compared the detection of microbial nucleic acids by tNGS with mNGS and found that tNGS could identify 87.99% of the microbial nucleic acids identified by mNGS. Conclusion In summary, our study demonstrated that tNGS offers promising clinical diagnostic accuracy in immunocompromised patients, as evidenced by its favorable comparison with CMT, the composite reference standard, and mNGS.

Abstract This single-arm phase II non-randomised trial (ACTRN12619001265167) evaluated trastuzumab emtansine in solid cancers with HER2 amplification or mutation detected by comprehensive genomic profiling. The primary objective was objective response (OR), while secondary objectives included the time to progression (TTP) on study to TTP on prior therapy ratio, progression-free survival (PFS) and overall survival (OS). The cohort included 16 tumours with HER2 mutations (group 1) and 16 with HER2 amplification (group 2). After 17 months median follow-up, ORs occurred in 19% of group 1 (1 salivary gland carcinoma (SGC), 2 lung cancers) and 25% of group 2 (3 SGCs, 1 uterine carcinoma). Fourteen of 29 TTP-evaluable patients achieved a TTP ratio ≥1.3, including 10 without an OR. Median PFS and OS were 4.5 (95% CI 2.1–7.0) and 18.2 months (95% CI 8.1-not reached) respectively. Trastuzumab emtansine showed modest ORs and a favourable change in disease trajectory in select HER2-altered solid cancers.

Abstract Introduction Acute lung injury (ALI) as one kind of acute pulmonary inflammatory disorder, manifests primarily as damage to alveolar epithelial cells and microvascular endothelial cells. Activation of the complement system is a common pathological mechanism in ALI induced by diverse factors, with the complement alternative pathway assuming a pivotal role. Baicalin, a flavonoid derived from the root of Scutellaria baicalensis Georgi, exhibits noteworthy biological activities. The present study attempted the interventional effects and underlying mechanisms of baicalin in microangiopathy in ALI induced by complement alternative pathway activation. Methods Activation of the complement alternative pathway by cobra venom factor (CVF). HMEC cells were pretreated with baicalin and then exposed to complement activation products. The expression of inflammatory mediators was detected by ELISA, and the intranuclear transcriptional activity of NF-κB was assessed by a dual fluorescent kinase reporter gene assay kit. Before establishing the ALI mouse model, baicalin or PDTC was gavaged for 7 d. CVF was injected into the tail vein to establish the ALI model. The levels of inflammatory mediators in BALF and serum were determined by ELISA. HE staining and immunohistochemistry evaluated pathological changes, complement activation product deposition, and NF-κB p65 phosphorylation in lung tissue. Results Baicalin reduced complement alternative activation product-induced expression of HMEC cells adhesion molecules (ICAM-1, VCAM-1, E-selectin) and cytokines (IL-6, TNF-α) as well as upregulation of NF-κB intranuclear transcriptional activity. Baicalin intervention reduced the number of inflammatory cells and protein content in the BALF and decreased the levels of IL-6, TNF-α, and ICAM-1 in serum and IL-6, TNF-α, ICAM-1, and P-selectin in BLAF. In addition, baicalin attenuated inflammatory cell infiltration in the lung of ALI mice and reduced the deposition of complement activation products (C5a, C5b-9) and phosphorylation of NF-κB p65 in lung tissue. Conclusion Baicalin relieves complement alternative pathway activation-induced lung inflammation by inhibition of NF-κB pathway, delaying the progression of ALI.

Abstract This study aimed to investigate the correlation between ossific nucleus volume and avascular necrosis (AVN) in pediatric patients diagnosed with developmental dysplasia of the hip (DDH). Analyzing 211 cases, including 119 open reduction (OR) and 92 closed reduction (CR) procedures, we quantified ossific nucleus volume using magnetic resonance imaging (MRI). Categorizing the OR group based on ossific nucleus volume revealed no statistically significant difference in AVN incidence. Similarly, in the CR cohort, there was no significant discrepancy in AVN occurrence between subgroups with or without the ossific nucleus. Logistic regression in CR identified the international hip dysplasia institute (IHDI) grade as a significant AVN risk factor (p = 0.007). IHDI grades 3 and 4 exhibited a 6.94 times higher likelihood of AVN compared to grades 1 and 2. Across CR and OR, neither initial age nor ossific nucleus volume emerged as AVN risk factors. In conclusion, ossific nucleus volume does not pose a risk for AVN in DDH children undergoing CR or OR, emphasizing the clinical significance of IHDI grading in predicting AVN risk during CR and the importance of early intervention to prevent treatment delays.

Abstract Aims The purpose of this study was to analyze the dynamic trends of ischemic heart disease (IHD) mortality attributable to high low-density lipoprotein cholesterol (LDL-C). Methods Data on IHD mortality attributable to high LDL-C from 1990 to 2021 were extracted from the global disease burden database. Joinpoint software was used to estimate the average annual percentage change (AAPC) in the age-standardized mortality rate (ASMR). An age‒period‒cohort model was used to analyze the impacts of age, period, and cohort on these changes. The Bayesian framework was used to predict IHD mortality attributable to high LDL-C from 2022 to 2040. Results The overall ASMR of IHD attributable to high LDL-C decreased from 50. 479 per 100,000 people in 1990 to 32.286 per 100,000 people in 2021, and ASMR of IHD attributable to high LDL-C was higher in males than in females. The longitudinal age curves of the overall IHD mortality attributable to high LDL-C showed a monotonic upward trend, especially after 65 years of age. The period and cohort effect relative risk (RR) values of overall IHD mortality attributable to high LDL-C showed a downward trend. The overall ASMR of IHD attributable to high LDL-C is predicted to show a downward trend, and male IHD mortality attributable to high LDL-C is expected to be higher than that of females. Conclusion This study revealed a sustained decrease in IHD mortality attributable to high LDL-C over three decades, with a continued decline expected. Despite this, gender disparities persist, with males experiencing higher mortality rates and elderly individuals remaining a vulnerable group.

Abstract Background Hypoxic pulmonary vasoconstriction is the most important regulatory mechanism by which right-to-left shunts decrease during one-lung ventilation (OLV), but the effects of pulmonary microarterial thrombosis and impaired HPV after SARS-CoV-2 infection on intrapulmonary shunt during OLV remain unknown. The aim of this study was to observe the changes of intrapulmonary shunt in patients undergoing thoracoscopic partial pneumonectomy at different periods after SARS-CoV-2 infection compared with patients without SARS-CoV-2 infection history. Methods A total of 80 patients who underwent elective thoracoscopic partial lung resection and were classified as American Society of Anaesthesiologists (ASA) grades I-II were selected and divided into 4 groups (n = 20 in each group): patients not infected with SARS-CoV-2 (Group A), patients infected with SARS-CoV-2 for 5–8 weeks (Group B), patients infected with SARS-CoV-2 for 9–12 weeks (Group C), and patients infected with SARS-CoV-2 for 13–16 weeks (Group D). For all patients, the same anaesthesia method was adopted, and anaesthesia was maintained with propofol, remifentanil, and cisatracurium. Radial artery and mixed venous blood gases were measured at 10 min of two-lung ventilation (TLV), 15 min of one-lung ventilation (OLV15), and 30 min of OLV (OLV30) in the lateral recumbent position to calculate the intrapulmonary shunt. Multiple linear regression analysis was employed to investigate the association between intrapulmonary shunt and SARS-CoV-2 infection. Results Qs/Qt at TLV was significantly higher in Groups B and C than in Group A (P

Abstract Background Certain infectious diseases are caused by specific bacterial pathogens, including syphilis, gonorrhea, typhoid and paratyphoid fever, diphtheria, pertussis, tetanus, leprosy, and tuberculosis. These diseases significantly impact global health, contributing heavily to the disease burden. The study aims to thoroughly evaluate the global burden of syphilis, gonorrhea, typhoid and paratyphoid fever, diphtheria, pertussis, tetanus, and leprosy. Methods Leveraging the Global Burden of Disease (GBD) study 2021, age-specific and Socio-demographic Index (SDI)-specific incidence, disability-adjusted life-years (DALYs), and death for eight specific bacterial infections across 204 countries and territories from 1990 to 2021 were analyzed. Percentage changes in age-standardized incidence rate (ASIR), DALY rate, and mortality rate (ASMR) were also examined, with a focus on disease distribution across different regions, age groups, genders, and SDI. Results By 2021, among the eight diseases, gonococcal infection had the highest global ASIR [1096.58 per 100,000 population, 95% uncertainty interval (UI): 838.70, 1385.47 per 100,000 population], and syphilis had the highest global age-standardized DALY rate (107.13 per 100,000 population, 95% UI: 41.77, 212.12 per 100,000 population). Except for syphilis and gonococcal infection, the age-standardized DALY rate of the remaining diseases decreased by at least 55% compared to 1990, with tetanus showing the largest decrease by at least 90%. Globally, significant declines in the ASIR, age-standardized DALY rate, and ASMR for these eight bacterial infections have been observed in association with increases in the SDI. Regions with lower SDI, such as sub-Saharan Africa, experienced a relatively higher burden of these eight bacterial infections. Conclusions Although there has been an overall decline in these eight diseases, they continue to pose significant public health challenges, particularly in low SDI regions. To further reduce this burden in these areas, targeted intervention strategies are essential, including multi-sectoral collaboration, policy support, improved WASH management, and enhanced research efforts. Graphical Abstract

Understanding the subcellular localization of long non-coding RNAs (lncRNAs) is crucial for unraveling their functional mechanisms. While previous computational methods have made progress in predicting lncRNA subcellular localization, most of them ignore the sequence order information by relying on k-mer frequency features to encode lncRNA sequences. In the study, we develope SGCL-LncLoc, a novel interpretable deep learning model based on supervised graph contrastive learning. SGCL-LncLoc transforms lncRNA sequences into de Bruijn graphs and uses the Word2Vec technique to learn the node representation of the graph. Then, SGCL-LncLoc applies graph convolutional networks to learn the comprehensive graph representation. Additionally, we propose a computational method to map the attention weights of the graph nodes to the weights of nucleotides in the lncRNA sequence, allowing SGCL-LncLoc to serve as an interpretable deep learning model. Furthermore, SGCL-LncLoc employs a supervised contrastive learning strategy, which leverages the relationships between different samples and label information, guiding the model to enhance representation learning for lncRNAs. Extensive experimental results demonstrate that SGCL-LncLoc outperforms both deep learning baseline models and existing predictors, showing its capability for accurate lncRNA subcellular localization prediction. Furthermore, we conduct a motif analysis, revealing that SGCL-LncLoc successfully captures known motifs associated with lncRNA subcellular localization. The SGCL-LncLoc web server is available at http://csuligroup.com:8000/SGCL-LncLoc. The source code can be obtained from https://github.com/CSUBioGroup/SGCL-LncLoc.