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Internationalization is known to enhance university capacities in cross-border learning and encourage institutional transformations for improved quality of scholarship and education. Studies on internationalization of research and teaching are, however, under-problematized with regard to asymmetries that pervade different collaborating systems and cultures. This paper addresses this gap by elucidating asymmetries in the Greater Bay Area of China (GBA), which is dealing with differences in legacies and experiences of internationalization in university research and teaching. At a time when the governments in the three constituent jurisdictions of GBA--Guangdong Province, Hong Kong Special Administrative Region (SAR), and Macao SAR--encourage universities to collaborate across jurisdictional borders, this study applies a bibliographic analysis to shed light on asymmetries and mitigation strategies in internationalization of research and teaching.

Abstract Cancer stands as a leading global cause of death, with its etiology characterized by complexity and multifaceted factors. Growing research indicates a strong correlation between environmental factors and cancer incidence, underscoring the critical importance of intervening in environmental risk factors to mitigate cancer occurrence. Despite this, specialized research institutions focusing on the intersection of environment and cancer remain scarce, with global investment in cancer prevention significantly trailing behind efforts in diagnosis and treatment. Against the backdrop of rapid global climate change, industrialization, urbanization, aging populations, and the globalization of lifestyles, we proposed the concept of Environmental Oncology (EO) to address these challenges. We discussed the rationale and necessity of developing EO and presented a comprehensive research framework focusing on cancer prevention and treatment. Future EO research will aim to identify cancer causes and implement early prevention strategies using advanced scientific technologies and methods. By emphasizing multidisciplinary collaboration and integrating molecular biology at the micro level, EO will explore the relationship between external and internal environments and cancer. EO will identify potential therapeutic targets by studying the pathways through which environmental exposures lead to carcinogenesis. EO will develop early warning systems and disseminate research findings by collecting big data, employing robust statistical models, and establishing research centers.

Abstract The high-altitude Duku Highway is characterized by complex terrain changes and frequent geological hazards, which severely impact the lives of local residents and the sustainable development of the regional economy. The lack of understanding of terrain deformation, coupled with scarce foundational observation data, makes it challenging to apply mainstream susceptibility assessment methods such as slope modeling and causality analysis. Consequently, this study utilizes Sentinel-1 A data and employs the SBAS-InSAR technique to extract and analyze the deformation characteristics of 184 hazard areas along the Duku Highway over nearly three years. Furthermore, the Correlation Clustering Evaluation Model is proposed, attributing hazard properties to unsupervised spatial clustering results, thus enabling the study of hazard susceptibility in data-scarce regions without prior knowledge. The results indicate that the SBAS-InSAR coherence is 0.64, with a validation accuracy of 85%. The high, relatively-high, and moderate susceptibility areas account for 24.7%, 17.1%, and 32.6% of the total area, respectively. The rapid uplift of terrain due to plate compression is a major factor leading to frequent hazards in high and relatively-high susceptibility areas. These regions may spontaneously experience cyclic hazards (minimum of 2 months) without extreme external factors. The research findings offer new insights into regional hazards and provide a basis for the sustainable management of highways.

Abstract Colorectal cancer (CRC) stands for a prevailing gastrointestinal neoplasm, concomitant with considerable occurrence and lethality rate. Butorphanol, a synthetic opioid analgesic medication targeting the opiate receptor, has been recently reckoned to harbor anti-oncogenic properties. This study proposes to delineate the impacts of butorphanol on CRC and the interrelated response mechanism. In sigma non-opioid intracellular receptor 1 (SIGMAR1)-overexpressing CRC cells treated by varying concentrations of butorphanol, the functional experiments including CCK-8 method, EDU staining, wound healing and transwell assays severally appraised the capabilities for CRC cells to proliferate, migrate as well as invade. TUNEL staining assayed the cellular apoptotic level. The expressions of proteins implicated in proliferation, metastasis as well as apoptosis were ascertained by Western blot. CB-Dock2 server predicated butorphanol-SIGMAR1 interaction and Western blot also examined SIGMAR1 expression. Noticeably, butorphanol profoundly eliminated the capabilities of CRC cells to proliferate, migrate and invade whilst intensified the cellular apoptotic level with the ascending doses. Butorphanol was identified to possess an interrelation with SIGMAR1 and concentration-dependently lowered SIGMAR1 expression. Elevation of SIGMAR1 partially blunted the affection of butorphanol on the biological events of CRC cells. To sum up, butorphanol may extenuate the aggressive cellular behaviors to produce tumor-suppressing activity on CRC via binding with SIGMAR1.

Abstract Ensuring the operational safety of the electric power system critically depends on effective power inspections. However, traditional methods face challenges in detecting minor faults such as cracks and corrosion in electrical equipment. In this thesis, the Super Resolution Generative Adversarial Network (SRGAN) is introduced into the field of power inspection for the first time. Additionally, the dedicated dataset (BDZ dataset) was developed. This includes a large number of high-resolution images for power line inspection. The primary objective is to enhance the resolution of inspection images, thereby significantly improving the accuracy and reliability of defect detection in the power system. Numerous experiments have demonstrated that the SRGAN model outperforms traditional models in the super-resolution reconstruction of power inspection images, particularly in recovering image texture details. Using the BDZ dataset significantly enhances image resolution. When employing the same SRGAN model, PSNR increased by 2.47 dB and SSIM by 4.10% compared to the standard dataset. This research introduces new methodologies for advancing electric power inspection technologies, providing a more robust assurance for the safe and reliable operation of electric power systems.

Abstract Purpose Obstructive sleep apnea (OSA) significantly affects patients’ quality of life; however, the mechanisms, such as its effects on bone mineral density (BMD) and bone turnover marker (BTM) expression, remain unclear. In this study, we investigated the relationships among OSA, BMD, and (BTMs) in older adults. Methods This retrospective study enrolled 260 participants (114 women; 44.5%). Data of an established system (Alice NightOne) were used to diagnose OSA and analyze nocturnal hypoxia. Participants were divided into four groups according to respiratory event index (REI) (control,

Abstract Aryl thiols have proven to be a useful class of electron donors and hydrogen atom sources in photochemical processes. However, the direct activation and functionalization of C(sp2)–S bonds in aryl thiols remains elusive in the field of photochemistry. Herein, a photochemical carboxylation of C(sp2)–S bonds in aryl thiols with CO2 is reported, providing a synthetic route to important aryl carboxylic acids. Moreover, different kinds of aryl thiol derivatives, benzeneselenol and diphenyl diselenide also show moderate-to-high reactivity in this transformation. Mechanistic studies, including DFT calculations, suggest that the in situ generated carbon dioxide radical anion (CO2 •−) and disulfide might be the key intermediates, which undergo radical substitution to yield products. This reaction features mild and catalyst-free conditions, good functional group tolerance and wide substrate scope. Furthermore, the efficient degradation of polyphenylene sulfide highlights the usefulness of this methodology.

Abstract Cold temperatures have been shown to slow skin wound healing. However, the specific mechanisms underlying cold-induced impairment of wound healing remain unclear. Here, we demonstrate that small extracellular vesicles derived from cold-exposed mouse plasma (CT-sEVs) decelerate re-epithelialization, increase scar width, and weaken angiogenesis. CT-sEVs are enriched with miRNAs involved in the regulation of wound healing-related biological processes. Functional assays revealed that miR-423-3p, enriched in CT-sEVs, acts as a critical mediator in cold-induced impairment of angiogenic responses and poor wound healing by inhibiting phosphatase and poly(A) binding protein cytoplasmic 1 (PABPC1). These findings indicate that cold delays wound healing via miR-423-3p in plasma-derived sEVs through the inhibition of the ERK or AKT phosphorylation pathways. Our results enhance understanding of the molecular mechanisms by which cold exposure delays soft tissue wound healing.

Abstract The application of neural network model in intelligent diagnosis usually encounters challenges such as continuous adjustment of network parameters and significant cost in training the network facing numerous complex physiological data. To address this challenge, this paper introduces a fuzzy SZGWO-ELM neural network model for medical disease aid diagnosis with fuzzy membership function and ELM network to refine the improved Gray Wolf optimization algorithm. Firstly, the Z-type membership function is introduced as the inertia weight to get a balance for the grey wolf in seeking the optimal solution globally and locally and ensuring fast convergence. Secondly, the S-type membership function is utilized as the adaptive weight to flexibly adjust the grey wolf search step size to facilitate a quick approximation of the optimal solution. Finally, the improved Gray Wolf optimization algorithm is used to optimize the parameters of the ELM neural network model, termed as SZGWO-ELM. This method can eliminate the need for extensive network parameter adjustments and quickly locate the optimal solution to the problem using a lightweight neural network. The performance of the SZGWO is assessed by using metrics like convergence, mean, and standard deviation. Multiple experiments reveal that this method shows superior performance. Furthermore, five publicly accessible medical disease datasets from UCI were conducted to evaluate the performance of SZGWO-ELM network model comparing with different classify model, and the results in terms of precision, sensitivity, specificity and accuracy can achieve 99.52%, 94.14%, 99.26% and 96.08%, respectively, which illustrate that the proposed SZGWO-ELM neural network significantly enhance the model’s accuracy, providing better support for doctors in disease diagnosis.

Abstract Metabolic reprogramming is a hallmark of cancer, enabling tumor cells to meet the high energy and biosynthetic demands required for their proliferation. High mobility group A1 (HMGA1) is a structural transcription factor and frequently overexpressed in human colorectal cancer (CRC). Here, we show that HMGA1 promotes CRC progression by driving lipid synthesis in a AOM/DSS-induced CRC mouse model. Using conditional knockout (Hmga1 △IEC) and knock-in (Hmga1 IEC-OE/+) mouse models, we demonstrate that HMGA1 enhances CRC cell proliferation and accelerates tumor development by upregulating fatty acid synthase (FASN). Mechanistically, HMGA1 increases the transcriptional activity of sterol regulatory element-binding protein 1 (SREBP1) on the FASN promoter, leading to increased lipid accumulation in intestinal epithelial cells. Moreover, a high-fat diet exacerbates CRC progression in Hmga1 △IEC mice, while pharmacological inhibition of FASN by orlistat reduces tumor growth in Hmga1 IEC-OE/+ mice. Our findings suggest that targeting lipid metabolism could offer a promising therapeutic strategy for CRC.

Abstract The impact of microplastics on antibiotic resistance has attracted widespread attention. However, previous studies primarily focused on the effects of individual microplastics. In reality, diverse microplastic types accumulate in soil, and it remains less well studied whether microplastic diversity (i.e., variations in color, shape or polymer type) can be an important driver of increased antibiotic resistance gene (ARG) abundance. Here, we employed microcosm studies to investigate the effects of microplastic diversity on soil ARG dynamics through metagenomic analysis. Additionally, we evaluated the associated potential health risks by profiling virulence factor genes (VFGs) and mobile genetic elements (MGEs). Our findings reveal that as microplastic diversity increases, there is a corresponding rise in the abundance of soil ARGs, VFGs and MGEs. We further identified microbial adaptive strategies involving genes (changed genetic diversity), community (increased specific microbes), and functions (enriched metabolic pathways) that correlate with increased ARG abundance and may thus contribute to ARG dissemination. Additional global change factors, including fungicide application and plant diversity reduction, also contributed to elevated ARG abundance. Our findings suggest that, in addition to considering contamination levels, it is crucial to monitor microplastic diversity in ecosystems due to their potential role in driving the dissemination of antibiotic resistance through multiple pathways.

Abstract MDM4 is one of the major regulators of p53. The biological effect of MDM4 on tumor is controversial, its role and molecular mechanism in colon cancer progression and prognosis are still unclear. In this study, we identify that MDM4 is significantly overexpressed in human colon cancer and high MDM4 expression was associated with poor prognosis of colon cancer with mutant p53. MDM4 inhibits the ubiquitination of the ferroptosis marker protein GPX4 at K167 and K191 by upregulating the protein expression level of the E3 ubiquitin ligase TRIM21, which promotes the polyubiquitination of GPX4 transfer from K48- to K63- linked ubiquitination. Thereby, MDM4 enhances the stability of GPX4 protein, inhibiting ferroptosis, increasing the resistance of colon cancer patients to chemotherapy, and promoting colon cancer progression. These findings elucidate the ferroptosis inhibition effect of MDM4 via regulating TRIM21/GPX4 on p53-mutated colon cancer and provide a potential therapeutic strategy for colon cancer therapy.

Abstract Background Previous studies have shown that overall sleep quality among Chinese nurses is relatively low, with a sleep disorder prevalence rate of approximately 66.4%. Against the backdrop of healthcare reforms, China has been striving to improve the mental health and sleep quality of nurses. Stress mindset can influence how individuals respond to stress, but there is limited research on how stress mindset affects nurses’ sleep quality. This study aims to explore the impact of stress mindset on sleep quality among nurses, as well as the mediating roles of stress overload and anxiety in this relationship. Methods The study was conducted online using a questionnaire from February 18 to February 22, 2024. It utilized the Stress Mindset Measure (SMM), the Stress Overload Scale-Short (SOS-S), the Generalized Anxiety Disorder 7-item scale (GAD-7), and the Pittsburgh Sleep Quality Index (PSQI) to survey 441 nurses in three regions of China: Chongqing, Hunan, and Shandong (M = 34.39, SD = 7.82, 95.7% female). A chain mediation model was employed to examine the mediating roles of stress overload and anxiety in the relationship between stress mindset and sleep quality. Results The participants’ average sleep quality score was 7.18 ± 3.47. Nurses’ stress mindset was significantly negatively correlated with both stress overload and anxiety, and significantly positively correlated with sleep quality. Stress overload was significantly positively correlated with anxiety and significantly negatively correlated with sleep quality. Anxiety was also significantly negatively correlated with sleep quality. The direct effect of nurses’ stress mindset on sleep quality was significant (effect size = -0.10, 95% CI: -0.19 to -0.01), as were the indirect effects through stress overload (effect size = -0.05, 95% CI: -0.11 to -0.01) and anxiety (effect size = -0.09, 95% CI: -0.13 to -0.05), along with their chain mediation effect (effect size = -0.10, 95% CI: -0.14 to -0.06). Conclusion Our study demonstrates that a higher level of nurses’ stress mindset is associated with better sleep quality, with stress overload and anxiety mediating this relationship. A positive stress mindset helps nurses cope more effectively with professional challenges and reduces anxiety, leading to improved sleep quality. Healthcare institutions should therefore prioritize fostering positive stress mindsets in nurses, encouraging regular psychological training and workshops to support the development of effective coping strategies.

Abstract Diffuse axonal injury (DAI) results in aberrant functional connectivity and is significantly linked to cognitive impairment. Nevertheless, the network mechanisms influencing neurocognitive function following DAI remain unclear. This study aimed to examine the characteristics of static and dynamic functional network connectivity (FNC) in patients with DAI. Resting-state functional magnetic resonance imaging data were collected from 26 patients with DAI and 27 healthy controls. Resting-state networks were extracted using independent component analysis. We evaluated the connectivity strength through spatial maps and static FNC, and then further dynamic properties were identified using a sliding time-window approach and k-means clustering, and investigated their associations with clinical variables. Patients with DAI showed stronger intra-network spatial maps in the default mode network and subcortical network than healthy controls, but static inter-network functional connectivity remained stable. Furthermore, three recurring states for dynamic connectivity were identified in all participants, and state 1 occurred most frequently in patients with DAI and exhibited higher fractional time, and as well as longer mean dwell time, which was positively associated with MMSE scores. Meanwhile, patients with DAI exhibited mostly increased functional connectivity strength of dynamic FNC in all states, particularly within the default mode network and visual network. These findings suggest that patients with DAI are characterized by altered dynamic FNC and temporal properties, which provide distinct complementary information different from static functional connectivity, and new insights into the neural pathophysiology of DAI associated with cognitive impairment.

Abstract Molecular dynamics (MD) is an indispensable atomistic-scale computational tool widely-used in various disciplines. In the past decades, nearly all ab initio MD and machine-learning MD have been based on the general-purpose central/graphics processing units (CPU/GPU), which are well-known to suffer from their intrinsic “memory wall” and “power wall” bottlenecks. Consequently, nowadays MD calculations with ab initio accuracy are extremely time-consuming and power-consuming, imposing serious restrictions on the MD simulation size and duration. To solve this problem, here we propose a special-purpose MD processing unit (MDPU), which could reduce MD time and power consumption by about 103 times (109 times) compared to state-of-the-art machine-learning MD (ab initio MD) based on CPU/GPU, while keeping ab initio accuracy. With significantly-enhanced performance, the proposed MDPU may pave a way for the accurate atomistic-scale analysis of large-size and/or long-duration problems which were impossible/impractical to compute before.

Abstract Background Sepsis-induced myocardial injury (SIMI) is a severe complication of sepsis, contributing significantly to mortality. Mitochondrial dysfunction and dysregulated autophagy are implicated in SIMI pathogenesis. Long non-coding RNA MALAT1 has been associated with various diseases, including sepsis, but its role in SIMI remains unclear. Objective This study aimed to investigate the role of lncRNA MALAT1 in SIMI, specifically in the regulation of mitochondrial autophagy. Methods A sepsis-induced cardiomyopathy model was established in mice, and the cardiac tissues were analyzed. The expression of lncRNA MALAT1 was modulated and its effects on mitochondrial autophagy, myocardial injury, inflammation, and apoptosis were assessed. Furthermore, the interaction between MALAT1 and miR-146a was explored, as well as the involvement of the TLR4/NF-kB/MAPK signaling pathway. Results Activation of mitochondrial autophagy by urolithin A (UA) alleviated SIMI, inflammation, and cardiac dysfunction. Downregulation of MALAT1 enhanced mitochondrial autophagy, stabilized the mitochondrial membrane potential, and inhibited mitochondrial reactive oxygen species (ROS) production, leading to improved cell viability and reduced myocardial injury. Furthermore, MALAT1 interacted with miR-146a, and their modulation influenced mitochondrial autophagy, myocardial injury, and inflammation. The TLR4/NF-kB/MAPK signaling pathway was implicated in these processes. Conclusion Our findings suggest that lncRNA MALAT1 plays a crucial role in SIMI by modulating miR-146a-mediated mitochondrial autophagy and the TLR4/NF-kB/MAPK signaling pathway. These results provide new insights into the pathogenesis of SIMI and potential therapeutic targets.

Abstract The breakthrough in electrolyte technology stands as a pivotal factor driving the battery revolution forward. The colloidal electrolytes, as one of the emerging electrolytes, will arise gushing research interest due to their complex colloidal behaviors and mechanistic actions at different conditions (aqueous/nonaqueous solvents, salt concentrations etc.). Herein, we show “beyond aqueous” colloidal electrolytes with ultralow salt concentration and inherent low freezing points to investigate its underlying mechanistic principles to stabilize cryogenic Zn metal batteries. Impressively, the “seemingly undesired” concentration polarization at the interface would disrupt the coalescence stability of the electrolyte, leading to a mechanically rigid interphase of colloidal particle-rich layer, positively inhibiting side reactions on either side of the electrodes. Importantly, the multi-layered pouch cells with cathode loading of 10 mg cm–2 exhibit undecayed capacity at various temperatures, and a relatively high capacity of 50 mAh g–1 could be well maintained at −80 °C.

Objectives: Titanium alloys are increasingly widely used in the aerospace field, and their research and development significantly influence the advancement of military aircraft, civil aviation, engines, and other high-tech equipment. However, titanium alloy are challenging to machine due to theri small deformation coefficient, low thermal conductivity, and the high temperatures generated during traditional cutting methods, which leads to tool wear. As a result, parts often have low precision, and surface quality is generally poor. This study proposes a double-sided magnetic abrasive finishing (MAF) method using opposing magnetic pole sets with adjustable relative angles to address surface defects—such as bumps, scratches, and microcracks—on the surface of titanium alloy TC4 and to improve its grinding efficiency. Methods: This study compares three types of lined magnets and introduces an involute-lined magnet design. Based on this design, opposing magnetic pole sets are used to generate an initial relative angle between them. The effects of different relative angles on double-sided MAF are tested to determine whether this method can improve the magnetic induction intensity and promote a more uniform distribution of abrasives. The results show that this approach addresses the challenges of poor abrasive fluidity and the inability of abrasives to tumble effectively. Additionally, the simultaneous grinding of both sides of the workpiece enhances processing efficiency, effectively removes the surface defects of the workpiece, and improves the grinding efficiency and surface quality. Results: The application of involute-lined magnets with a relative angle for double-sided MAF yields improved processing results under the following test conditions: magnetic pole group speed of 600 r/min, processing gap of 2 mm, magnetic abrasives size of 150 μm, and a relative angle of 10°. After 30 minutes of grinding, the surface roughness of the front side of the titanium alloy is reduced from Ra 0.458 μm to Ra 0.116 μm, and the surface height variation decreases from 43.3 μm to 7.8 μm. The reverse side also shows improvements, with surface roughness decreasing from Ra 0.434 μm to Ra 0.111 μm, and surface height variation reducing from 44.2 μm to 8.4 μm. Conclusions: The use of involute-lined magnets to create a relative angle for double-sided grinding effectively improves surface defects, such as scratches and grooves, on the workpiece. This method also significantly enhances grinding efficiency compared to single-sided grinding. The involute arrangement of magnets minimizes variations in magnetic induction intensity, which improves grinding efficiency and ensures a more uniform distribution of the magnetic field. This uniformity results in better adsorption of magnetic abrasives and enhanced grinding quality. When grinding at a relative angle of 10°, the magnetic field gradient changes significantly, covering a wider area with stronger magnetic induction. This variation in magnetic field gradient faciliates the tumbling of magnetic abrasives and the timely renewal of cutting edges, ultimately improving processing performance.

Abstract Background Information on the comparison of blood microbiota between human immunodeficiency virus (HIV)-infected and HIV-uninfected patients with suspected sepsis by metagenomic next-generation sequencing (mNGS) is limited. Methods Retrospectively analysis was conducted in HIV-infected and HIV-uninfected patients with suspected sepsis at Changsha First Hospital (China) from March 2019 to August 2022. Patients who underwent blood mNGS testing were enrolled. The blood microbiota detected by mNGS were analyzed. Results A total of 233 patients with suspected sepsis who performed blood mNGS were recruited in this study, including 79 HIV-infected and 154 HIV-uninfected patients. Compared with HIV-uninfected patients, the proportions of mycobacterium (p = 0.001), fungus (p

Abstract Background Rapeseed (Brassica napus L.) is an important oil and industrial crop worldwide. Black rot caused by the bacterial pathogen Xanthomonas campestris pv. campestris (Xcc) is an infectious vascular disease that leads to considerable yield losses in rapeseed. Resistance improvement through genetic breeding is an effective and sustainable approach to control black rot disease in B. napus. However, the molecular mechanisms underlying Brassica-Xcc interactions are not yet fully understood, especially regarding the impact of post-transcriptional gene regulation via alternative splicing (AS). Results In this study, we compared the AS landscapes of a susceptible parental line and two mutagenized B. napus lines with contrasting levels of black rot resistance. Different types of AS events were identified in these B. napus lines at three time points upon Xcc infection, among which intron retention was the most common AS type. A total of 1,932 genes was found to show differential AS patterns between different B. napus lines. Multiple defense-related differential alternative splicing (DAS) hub candidates were pinpointed through an isoform-based co-expression network analysis, including genes involved in pathogen recognition, defense signalling, transcriptional regulation, and oxidation reduction. Conclusion This study provides new insights into the potential effects of post-transcriptional regulation on immune responses in B. napus towards Xcc attack. These findings could be beneficial for the genetic improvement of B. napus to achieve durable black rot resistance in the future.

Abstract Background Monitoring symptoms is crucial for the early detection of disease progression and timely intervention, which is essential for reducing severe cases and mortality rates in rapidly spreading pandemics, such as COVID-19. Therefore, during infectious disease pandemics, the rapid development of real-time symptom monitoring platforms is essential. This study aimed to explore the urgent development process of an electronic system for patient-reported outcome monitoring in emergency situations. Methods The development of the electronic patient-reported outcome COVID-19 symptom monitoring platform (ePRO-CoV-SM) included the following steps: (1) modifying an electronic patient-reported outcome symptom-reporting platform to assess patients with COVID-19 and validating its feasibility and sensitivity for longitudinal symptom measurement; (2) updating the system to accommodate the newly emerged severe acute respiratory syndrome coronavirus 2 BA.2.2 variant; and (3) applying it in real-world settings. Literature review, expert consultation, and subject-group discussions were used to develop symptom items. Response rate and missing item rate were used as validation indicators for ePRO-CoV-SM. Results The ePRO-CoV-SM (2.0) consists of a core set of symptom items, a WeChat mini program, an online project design backend, a management and communication front, and a database. During the 2020 verification, the response rate of ePRO symptom monitoring reached 89.47% and the item missing rate was 0.33%, the monitoring revealed that a considerable number of asymptomatic patients were experiencing undesirable symptoms during the isolation period. In its real-world application in 2022, the response rate was 85.93% and the item missing rate was 4.84%, the monitoring found the symptom burden was higher in the younger group (18–40 years old) than in the older group (40–67 years old), and over 30% of patients reported symptoms such as cough (36.08%), dry mouth (35.67%), sleep disorders (32.27%), appetite loss (32.17%), and sputum (30.79%) during the isolation period. Conclusions Electronic patient-reported outcome measurement was demonstrated to be sensitive and feasible for monitoring symptoms in patients with COVID-19. By integrating smartphone-based data collection with real-time online data transmission and secure data storage using Secure Sockets Layer encryption, an electronic platform for monitoring critical symptoms can be rapidly established in emergency situations.

Abstract Generating co‐speech gestures for interactive digital humans remains challenging because of the indeterministic nature of the problem. The authors observe that gestures generated from speech audio or text by existing neural methods often contain less movement shift than expected, which can be viewed as slow or dull. Thus, a new generative model coupled with memory networks as dynamic dictionaries for speech‐driven gesture generation with improved diversity is proposed. More specifically, the dictionary network dynamically stores connections between text and pose features in a list of key‐value pairs as the memory for the pose generation network to look up; the pose generation network then merges the matching pose features and input audio features for generating the final pose sequences. To make the improvements more accurately measurable, a new objective evaluation metric for gesture diversity that can remove the influence of low‐quality motions is also proposed and tested. Quantitative and qualitative experiments demonstrate that the proposed architecture succeeds in generating gestures with improved diversity.

Abstract Background We evaluated the diagnostic value of homocysteine (Hcy) levels combined with the Wells score and established a prediction model for venous thromboembolism (VTE) occurrence in patients with acute exacerbations of chronic obstructive pulmonary disease (AECOPD) based on the Hcy level and the Wells score. Patients and methods Clinical information from 914 patients with AECOPD was retrospectively collected in our hospital from June 2020 to October 2023. Receiver operating characteristic curves were plotted to evaluate the diagnostic ability of Hcy concentrations combined with Wells scores and the prediction ability of the model. Univariate and multivariate logistic regressions were used to explore the effects of Hcy levels and the Wells score on VTE occurrence. A nomogram was established for individual risk evaluation. Results Hcy levels and Wells scores were significantly greater in the VTE group than in the non-VTE group (P

Abstract Background Two-line hybrid wheat technology system is one way to harness wheat heterosis both domestically and internationally. Seed vigor is a crucial parameter for assessing seed quality, as enhanced seed vigor can lead to yield increments of over 20% to a certain extent. MicroRNAs (miRNAs) were known to participate in the development and vigor of seed in plants, but its impact on seed vigor in two-line hybrid wheat remains poorly elucidated. Results The hybrid (BS1453/11GF5135) wheat exhibited superiority in seed vigor and anti-aging capacity, compared to its male parent (11GF5135, MP) and female parent (BS1453, FP). We identified four miRNAs associated with seed vigor, all of which are novel miRNAs. The majority of targets of miRNAs were related to ubiquitin ligases, kinases, sucrose synthases and hydrolases, involving in starch and sucrose metabolism, hydrolysis, catalysis, plant hormone signal transduction, and other pathways, which played crucial roles in seed development. Additionally, we also found miR531 was differentially expressed in both male parent and hybrid, and its target gene was a component of the E1 subunit of α-ketoate dehydrogenase complex, which interacted with dihydrolipoamide acetyltransferase (E2) and dihydrolipoyl dehydrogenase (E3). Finally, We established a presumptive interaction model to speculate the relationship of miR531 and seed vigor. Conclusions This study analyzed the seed vigor of two-line hybrid wheat, and screened seed vigor-related miRNAs. Meanwhile speculated the genetic relationship of hybrid and parents, in terms of miRNAs. Consequently, the present study provides new insights into the miRNA-mediated gene and protein interaction network that regulates seed vigor. These findings hold significance for enhancing the yield and quality of two-line hybrid wheat, facilitating its future applications.

Abstract Background Enteric infections are hypothesized to be associated with intussusception in children. A small increase in intussusception following rotavirus vaccination has been seen in some settings. We conducted post-marketing surveillance for intussusception following rotavirus vaccine, Rotavac introduction in India and evaluated association of intussusception with enteric pathogens. Methods In a case-control study nested within a large sentinel hospital-based surveillance program in India, stool samples from 272 children aged less than 2 years admitted for intussusception and 272 age-, gender- and location-matched controls were evaluated with Taqman array card based molecular assays to detect enteric viruses, bacterial enteropathogens and parasites. Matched case-control analysis with conditional logistic regression evaluated association of enteropathogens with intussusception. Population attributable fractions (PAF) were calculated for enteropathogens significantly associated with intussusception. Results The most prevalent enteropathogens in cases and controls were enteroaggregative Escherichia coli, adenovirus 40/41, adenovirus C serotypes and enteroviruses. Children with intussusception were more likely to harbor adenovirus C serotypes (adjusted odds-ratio (aOR) = 1.74; 95% confidence interval (CI) 1.06–2.87) and enteroviruses (aOR = 1.77; 95% CI 1.05–2.97) than controls. Rotavirus was not associated with increased intussusception risk. Adenovirus C (PAF = 16.9%; 95% CI 4.7% − 27.6%) and enteroviruses (PAF = 14.7%; 95% CI 4.2% − 24.1%) had the highest population attributable fraction for intussusception. Conclusion Adenovirus C serotypes and enteroviruses were significantly associated with intussusception in Indian children. Rotavirus was not associated with risk of intussusception.

Abstract Background With the evolution of disease patterns and the continuous pursuit of persons for high-quality nursing services, new nurses are the reserve talents of the nursing team and shoulder a major mission. However, due to their low work performance and high turnover rate, this is not conducive to the stable development of nursing teams, and it is urgent to solve this problem. The purpose of this study was to explore the effect of work readiness on the work performance of new nurses, focusing on the mediating role of organizational justice and professional identity. Method A cross-sectional design was employed. Using convenience sampling methods, 607 new nurses were surveyed in 5 hospitals in Henan Province, China, from January to February 2023. Data were collected using demographic characteristics questionnaire, the Work Performance Scale, the Work Readiness Scale for Graduate Nurses, the Organizational Justice Scale, and the Professional Identity Rating Scale for Nurses. AMOS 26.0 was used for model drawing and mediation path testing, and SPSS 25.0 was used for data analysis. Results The mediation model shows a good fit (χ2 /df = 2.747, CFI = 0.987, GFI = 0.948, AGFI = 0.926, TLI = 0.984, IFI = 0.987, and RMSEA = 0.054). In this study, we found professional identity is a mediating variable between work readiness and the work performance of new nurses (β = 0.113, P

Abstract Asymptomatic intracranial atherosclerotic stenosis (aICAS) is a major risk factor for cerebrovascular events. The study aims to construct and validate a nomogram for predicting the risk of aICAS. Participants who underwent health examinations at our center from September 2019 to August 2023 were retrospectively enrolled. The participants were randomly divided into a training set and a testing set in a 7:3 ratio. Firstly, in the training set, least absolute shrinkage and selection operator (LASSO) regression and multivariate logistic regression were performed to select variables that were used to establish a nomogram. Then, the receiver operating curves (ROC) and calibration curves were plotted to assess the model’s discriminative ability and performance. A total of 2563 neurologically healthy participants were enrolled. According to LASSO-Logistic regression analysis, age, fasting blood glucose (FBG), systolic blood pressure (SBP), hypertension, and carotid atherosclerosis (CAS) were significantly associated with aICAS in the multivariable model (adjusted P

Polymer-blend geocell sheets (PBGS) have been developed as substitute materials for manufacturing geocells. Various attempts have been made to test and predict the behaviors of commonly used geogrids, geotextiles, geomembranes, and geocells. However, the elastic-viscoplastic behaviors of novel-developed geocell sheets are still poorly understood. Therefore, this paper investigates the elastic-viscoplastic behaviors of PBGS to gain a comprehensive understanding of their mechanical properties. Furthermore, the tensile load-strain history under various loading conditions is simulated by numerical calculation for widespread utilization. To achieve this goal, monotonic loading tests, short-term creep and stress relaxation tests, and multi-load-path tests (also known as arbitrary loading history tests) are performed using a universal testing machine. The results are simulated using the nonlinear three-component (NLTC) model, which consists of three nonlinear components, i.e. a hypo-elastic component, a nonlinear inviscid component, and a nonlinear viscid component. The experimental and numerical results demonstrate that PBGS exhibit significant elastic-viscoplastic behavior that can be accurately predicted by the NLTC model. Moreover, the tensile strain rates significantly influence the tensile load, with higher strain rates resulting in increased tensile loads and more linear load-strain curves. Also, parametric analysis of the rheological characteristics reveals that the initial tensile strain rates have negligible impact on the results. The rate-sensitivity coefficient of PBGS is approximately 0.163, which falls within the typical range observed in most geosynthetics.

Abstract We propose a hybrid inflationary scenario based on eight-flavor hidden QCD with the hidden colored fermions being in part gauged under U(1) B−L . This hidden QCD is almost scale-invariant, so-called walking, and predicts the light scalar meson (the walking dilaton) associated with the spontaneous scale breaking, which develops the Coleman-Weinberg (CW) type potential as the consequence of the nonperturbative scale anomaly, hence plays the role of an inflaton of the small-field inflation. The U(1) B−L Higgs is coupled to the walking dilaton inflaton, which is dynamically induced from the so-called bosonic seesaw mechanism. We explore the hybrid inflation system involving the walking dilaton inflaton and the U(1) B−L Higgs as a waterfall field. We find that observed inflation parameters tightly constrain the U(1) B−L breaking scale as well as the walking dynamical scale to be ~ 109 GeV and ~ 1014 GeV, respectively, so as to make the waterfall mechanism worked. The lightest walking pion mass is then predicted to be around 500 GeV. Phenomenological perspectives including embedding of the dynamical electroweak scalegenesis and possible impacts on the thermal leptogenesis are also addressed.

The Qizimeishan National Nature Reserve is situated in the southwestern region of Hubei Province, adjacent to the northeastern edge of the Yunnan-Guizhou Plateau. A survey of spiders of this reserve was conducted recently, leading to the discovery of three new species of the genus Pseudopoda Jäger, 2000: P. arcuata Zhang, J. Liu & Hu, sp. nov. (♀), P. qizimeishanensis Zhang, J. Liu & Hu, sp. nov. (♂, ♀) and P. weimiani Zhang, J. Liu & Hu, sp. nov. (♂, ♀). Diagnoses, descriptions, photos, and a distribution map are provided.

Abstract Backgroud Intussusception is a common acute abdominal disease in children, often leading to acute ileus in infants and young children. Objective This study aimed to develop and validate a nomogram for predicting recurrent intussusception in children within 48 h after pneumatic reduction of primary intussusception. Methods Clinical data of children with acute intussusception admitted to multiple hospitals from March 2019 to March 2021 were retrospectively analyzed. The children were divided into a successful reductioncontrol group (control group) and a recurrent intussusception group (RI group) according to the results of pneumatic reduction. Results A total of 2406 cases were included in this study, including 2198 control group and 208 RI group. In the total sample, 1684 cases were trained and 722 cases were verified. A logistic regression analysis was conducted to establish a predictive model based on age, abdominal pain time, white blood cells count, and hypersensitive C-reactive protein levels as independent predictors of intussusception recurrence. The nomogram successfully predicted recurrent intussusception after pneumatic reduction. Conclusion In this study, a nomogram was developed based on clinical risk factors to predict recurrent intussusception following pneumatic reduction in children. Age, abdominal pain time, white blood cell counts, and hypersensitive C-reactive protein levels were identified as predictors and incorporated into the nomogram. Internal validation demonstrated that this nomogram can offer a clear and convenient tool for identifying risk factors for recurrence of intussusception in children undergoing pneumatic reduction.

Abstract Nitrogen deficiency in low organic matter soils significantly reduces crop yield and plant health. The effects of foliar applications of indole acetic acid (IAA), trehalose (TA), and nanoparticles-coated urea (NPCU) on the growth and physiological attributes of tomatoes in nitrogen-deficient soil are not well documented in the literature. This study aims to explore the influence of IAA, TA, and NPCU on tomato plants in nitrogen-deficient soil. Treatments included control, 2mM IAA, 0.1% TA, and 2mM IAA + 0.1% TA, applied with and without NPCU. Results showed that 2mM IAA + 0.1% TA with NPCU significantly improved shoot length (~ 30%), root length (~ 63%), plant fresh (~ 48%) and dry weight (~ 48%), number of leaves (~ 38%), and leaf area (~ 58%) compared to control (NPCU only). Additionally, significant improvements in chlorophyll content, total protein, and total soluble sugar, along with a decrease in antioxidant activity (POD, SOD, CAT, and APX), validated the effectiveness of 2mM IAA + 0.1% TA with NPCU. The combined application of 2mM IAA + 0.1% TA with NPCU can be recommended as an effective strategy to enhance tomato growth and yield in nitrogen-deficient soils. This approach can be integrated into current agricultural practices to improve crop resilience and productivity, especially in regions with poor soil fertility. To confirm the efficacy of 2mM IAA + 0.1% TA with NPCU in various crops and climatic conditions, additional field studies are required.

Abstract Background Numerous observational studies have indicated that patients with Guillain-Barré syndrome (GBS) frequently had infections with various pathogens before the onset of the disease, particularly several viral infections. Some of these infections are linked to specific clinical and immunological subgroups of GBS, suggesting a potential correlation between viral infections and the development of GBS. However, observational studies have several limitations, including the presence of confounding factors. Method We explored the potential correlation between HIV, SARS-CoV-2, varicella-zoster virus, herpes simplex virus, Epstein-Barr virus, hepatitis B virus, and influenza virus with GBS using a two-sample Mendelian randomization approach. The data was derived from published summary statistics from genome-wide association studies (GWAS). After removing linkage disequilibrium, selecting strong instrumental variables and addressing confounding factors, we would conduct a two-sample Mendelian randomization analysis along with sensitivity testing and the MR-Steiger directional test. Result HIV may have a causal association with GBS (IVW: p = 0.010, OR [95% CI] 1.240 [1.052–1.463]), while no such relationship exists with COVID-19 (IVW: p = 0.275, OR [95% CI] 0.831[0.596–1.159]), varicella (IVW: p = 0.543, OR [95% CI] 0.919 [0.701–1.206]), herpes zoster (IVW: p = 0.563, OR [95% CI] 0.941 [0.766–1.156]), HSV (IVW: p = 0.280, OR [95% CI] 1.244 [0.837–1.851]), EBV (IVW: p = 0.218, OR [95% CI] 0.883 [0.724–1.076]), HBV (IVW: p = 0.179, OR [95% CI] 1.072 [0.969–1.187]), or influenza virus (IVW: p = 0.917, OR [95% CI] 0.971 [0.553–1.703]). We did not find any abnormal SNPs, pleiotropy, or heterogeneity, nor is there any reverse causation. Conclusion Our study results indicate a causal relationship between HIV and GBS, providing new research directions for the etiology of GBS.

Abstract Background Cancer cachexia‐induced skeletal muscle fibrosis (SMF) impairs muscle regeneration, alters the muscle structure and function, reduces the efficacy of anticancer drugs, diminishes the patient's quality of life and shortens overall survival. RUNX family transcription factor 2 (Runx2), a transcription factor, and collagen type I alpha 1 chain (COL1A1), the principal constituent of SMF, have been linked previously, with Runx2 shown to directly modulate COL1A1 mRNA levels. l‐Carnitine, a marker of cancer cachexia, can alleviate fibrosis in liver and kidney models; however, its role in cancer cachexia‐associated fibrosis and the involvement of Runx2 in the process remain unexplored. Methods Female C57 mice (48 weeks old) were inoculated subcutaneously with MC38 cells to establish a cancer cachexia model. A 5 mg/kg dose of l‐carnitine or an equivalent volume of water was administered for 14 days via oral gavage, followed by assessments of muscle function (grip strength) and fibrosis. To elucidate the interplay between the deltex E3 ubiquitin ligase 3L(DTX3L)/Runx2/COL1A1 axis and fibrosis in transforming growth factor beta 1‐stimulated NIH/3T3 cells, a suite of molecular techniques, including quantitative real‐time PCR, western blot analysis, co‐immunoprecipitation, molecular docking, immunofluorescence and Duolink assays, were used. The relevance of the DTX3L/Runx2/COL1A1 axis in the gastrocnemius was also explored in the in vivo model. Results l‐Carnitine supplementation reduced cancer cachexia‐induced declines in grip strength (>88.2%, P 57.9%, P

Improving plant resistance to Verticillium wilt (VW), which causes massive losses in Gossypium hirsutum, is a global challenge. Crop plants need to efficiently allocate their limited energy resources to maintain a balance between growth and defense. However, few transcriptional regulators specifically respond to Verticillium dahliae and the underlying mechanism has not been identified in cotton. In this study, we found that the that expression of most R2R3-MYB members in cotton is significantly changed by V. dahliae infection relative to the other MYB types. One novel R2R3-MYB transcription factor (TF) that specifically responds to V. dahliae, GhMYB3D5, was identified. GhMYB3D5 was not expressed in 15 cotton tissues under normal conditions, but it was dramatically induced by V. dahliae stress. We functionally characterized its positive role and underlying mechanism in VW resistance. Upon V. dahliae infection, the up-regulated GhMYB3D5 bound to the GhADH1 promoter and activated GhADH1 expression. In addition, GhMYB3D5 physically interacted with GhADH1 and further enhanced the transcriptional activation of GhADH1. Consequently, the transcriptional regulatory module GhMYB3D5-GhADH1 then promoted lignin accumulation by improving the transcriptional levels of genes related to lignin biosynthesis (GhPAL, GhC4H, Gh4CL, and GhPOD/GhLAC) in cotton, thereby enhancing cotton VW resistance. Our results demonstrated that the GhMYB3D5 promotes defense-induced lignin accumulation, which can be regarded as an effective way to orchestrate plant immunity and growth.

Background With the increase of the aging population, age-related health problems have garnered increasing attention. Compared to physiologic diseases with significant clinical symptoms, the mental health issues of the elderly are often overlooked. The underlying depressive states and high incidence of chronic diseases collectively contribute to a decline in quality of life in old age. Moreover, metabolic diseases, more prevalent in the elderly, significantly impact brain health, potentially leading to neurological damage and cognitive decline. Objective This study aims to investigate the relationship between depression, cognitive status, and nutritional and metabolic status among elderly individuals in the community. Methods We selected 3 767 elderly individuals who participated in physical examinations at the Youyi Street Community Health Service Center in Baoshan District, Shanghai. The demographic data on sex, age, BMI and waist-to-hip ratio were collected. The evaluations included the Mini-Mental State Examination (MMSE), Geriatric Depression Scale (GDS), Mini Nutritional Assessment (MNA), and Activities of Daily Living Scale (ADL). Metabolic syndrome-related diseases and the 10-year cardiovascular disease risk were assessed using clinical metabolic indicators, and Pearson correlation analysis was used to explore the correlations among these indicators. Results This research showed that significant differences were found in age, MNA, MMSE scores, the proportion of people at high risk of cardiovascular disease and the 10-year cardiovascular disease risk grade among the different groups (P

Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast cancer, characterised by a short survival period, high malignancy, strong invasiveness, and high rates of recurrence and metastasis. Due to its unique molecular phenotype, TNBC is insensitive to endocrine therapy or molecular targeted therapy. The conventional treatment approach involves systemic chemotherapy for overall management; however, adjuvant chemotherapy after surgery has shown poor efficacy as residual lesions can easily lead to tumour recurrence. Therefore, there is an urgent need to find more effective treatment strategies. Herein, we designed a gold nanocluster coated with a metal-phenol formaldehyde network structure (AuNCs@PDA-Mn) for tumour Photothermal therapy and chemodynamic therapy (PTT and CDT), which induces systemic immune responses to suppress tumour metastasis. Experimental results show that after continuous irradiation for 10 min under an 808 nm laser (1.0W/cm2), AuNCs@PDA-Mn not only exhibits better tumour inhibition both in vitro and in vivo but also triggers stronger immune effects systemically. Therefore, this combined PTT and CDT treatment approach has great potential and provides a clinically relevant and valuable option for triple-negative breast cancer.

Abstract Phytosterols are a group of nonpharmacological alternatives to prevent or control dyslipidemias and cardiovascular disease. Increasing the phytosterol content in rapeseed oil is important to enhance daily phytosterol intake. However, the mechanisms of biosynthesis and regulation of phytosterol in rapeseed remain unclear. In this study, two representative rapeseed cultivars with extremely high (H286) and low (H174) phytosterol content were selected and treated with various concentrations (0.5−5.0 mM) of methyl jasmonate (MeJA). The results showed that treatment with 1 mM MeJA increased the phytosterol content of H174 and H286 by 17% and 27%, respectively. Based on the multiomics data, a gene‐phytosterol regulatory network was constructed. We deduced that MeJA down‐regulated the expression level of BnaA07.SCL15, BnaC05.MYB61, and BnaC03.AGL2, thereby promoting the phytosterol biosynthesis , and which were validated through the transient expression in tobacco. Notably, overexpression of Arabidopsis BnaA07.SCL15 exhibited a significant decrease in their phytosterol content. Additionally, an integrative analysis of the high‐resolution metabolome and transcriptome revealed that the accumulation patterns of 997 metabolites were highly correlated with their corresponding gene expression patterns. MeJA also significantly affected flavonoid biosynthesis, α‐linolenic acid metabolism, and amino acid metabolism. Furthermore, BnaA09.TT8 and BnaC09.TT8 were found to regulate of flavonoids. Overall, this study provides valuable insights into the phytosterol biosynthesis in rapeseed and offers a simple and effective approach for improving rapeseed quality.

Saponins are the primary secondary metabolites of sea cucumber, which are the material basis for its chemical defense. Sea cucumber saponins possess multiple biological properties including antitumor activity, immunoenhancing effect and ameliorative effect on metabolic syndrome, and therefore hold great promise in the development of health products and drugs. Sea cucumber saponins are complex and diverse, and their structural characteristics greatly affect their biological activities. This review begins with an overview of the sources and types of sea cucumber saponins, and then focuses on systematically summarizing the current status of research on their structural characteristics, bioactivities and action mechanisms. Finally, it gives an outlook on future prospects. We expect this review will provide a reference for the high-value development and utilization of sea cucumber saponins.

Coal mine gas accidents are highly destructive and have a wide range of hazards. Predicting the amount of gas emitted from the mining face and the volume fraction of gas in the return air roadway can provide important basis for formulating gas control measures and preventing gas accidents. To solve the problem of mining face gas emission and gas volume fraction in mining face return air being affected by multiple factors and difficult to accurately predict due to large data fluctuations, we introduce the sparrow search algorithm (SSA) based on grey prediction and BP neural network, and establish an ISSA-GM-BP model for predicting the mining face gas emission and gas volume fraction in mining face return air roadway. This model utilizes Chebyshev chaotic mapping, dynamic inertia weight, and Lévy flight strategy algorithm to improve SSA. In grey prediction, a dynamic grey GM (1,1,\begin{document}$ \alpha $\end{document}) model is established by introducing dynamic generation coefficients and combined with BP neural network. The combined model is then optimized by improving SSA. Use this model to predict the mining face gas emission and gas volume fraction in mining face return air roadway, and compare and analyze the prediction results with SSA-BP neural network and BP neural network. The results showed that in terms of mining face gas emission and gas volume fraction in mining face return air roadway, the average relative errors between the prediction results of the ISSA-GM-BP model and the measured values were 2.95% and 2.65%, respectively. The average relative errors of the SSA-BP neural network were 9.50% and 8.00%, respectively. The average relative errors of the BP neural network were 12.49% and 9.76%, respectively. The determination coefficients of the ISSA-GM-BP model were 0.960 9 and 0.958 7, respectively. The predicted values fully conform to the trend of actual mining face gas emission and gas volume fraction in mining face return air roadway, and have significant advantages in prediction accuracy and adaptability.

Abstract As one of the two main histologic subtypes of gastric cancer (GC), diffuse-type gastric cancer (DGC) containing poorly cohesive gastric carcinoma (PCC) components has a worse prognosis and does not respond well to typical therapies. Despite the large number of studies revealing the complex pathogenic network of DGC, the molecular heterogeneity of DGC is still not fully understood. We obtained single-cell RNA-seq data and bulk data from the tumor immune single cell hub, the public gene expression omnibus, and the cancer genome atlas databases. A series of bioinformatics analyses were performed using R software. Immunofluorescence staining, hematoxylin and eosin staining, western blot, and functional experiments were used for experimental validation. Caudin-3, -4 and -7 were lowly expressed in DGC and their expression levels were further reduced in PCC. The PCC components were mainly located in the deeper layers of the DGC and had a high level of hypoxic Wnt/β-catenin signaling and stemness. We further identified Insulin Like Growth Factor Binding Protein 7 (IGFBP7) as a marker for PCC components in the deep layer. IGFBP7 is stimulated by hypoxia and promotes cancer cell invasiveness and reduced claudin expression. In addition, programmed death-1 ligand (PD-L1) was specifically expressed in the deep layer, reflecting deep layer-specific immunosuppression. The PCC components are predominantly situated in the deeper layers of DGC. Initial molecular characterization of these PCC components revealed distinct features, including low expression of claudin-3, -4, and -7, high expression of IGFBP7, and the presence of PD-L1. These molecular traits may partially account for the pronounced tumor heterogeneity observed in GC.

Abstract We conducted a retrospective, observational study among acquired immune deficiency syndrome (AIDS) patients with cryptococcal meningitis or talaromycosis to assess AmB formulations-related adverse events (AEs). Total 205 eligible patients were enrolled. Of them, 139 received AmB therapy, 51 received liposomal AmB (L-AmB) therapy, and 15 received AmB cholesteryl sulfate complex (ABCD) therapy. The incidences of total AEs between the AmB, L-AmB and ABCD group had no significant differences. The ABCD group had significantly higher incidences of hepatotoxicity and hematological toxicity than the AmB and L-AmB groups. The incidence of grade 3–4 hematological toxicity in the ABCD group was significantly higher than that in the AmB and L-AmB groups. Multinomial logistic regression models showed that compared with AmB, ABCD had a higher risk for the occurrence of grade 3–4 hematological toxicity (aOR = 43.924, 95%CI 6.296-306.418; p