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Objective: To establish a HPLC method for the determination of neochlorogenic acid, chlorogenic acid, cryptochlorogenic acid, rutin, isoquercitrin, isochlorogenic acid B, astragalin, isochlorogenic acid A and isochlorogenic acid C in Mori Folium using the quantitative analysis of multi-components by single marker (QAMS). Methods: The analysis was performed on an Agilent TC-C18 column (250 mm×4.6 mm, 5 μm), with acetonitrile (A)-0.1% phosphoric acid (B) as mobile phase at the flow rate of 1.0 mL/min for gradient elution, as well as the wavelengths were 260 and 320 nm and the column temperature was 30 ℃. The chlorogenic acid was used as the internal reference. The contents of nine components in Mori Folium were calculated by the external standard method and QAMS (multi-point correction, gradient correction and single-point correction) respectively, and the differences among the four methods were compared. In addition, the accuracy and feasibility of the method were verified by using multi-point correction and two-point correction to locate chromatographic peaks of the components. Results: The relative correction factors of neochlorogenic acid, cryptochlorogenic acid, rutin, isoquercitrin, isochlorogenic acid B, asiaticoside, isochlorogenic acid A and isochlorogenic acid C to chlorogenic acid were 0.9072, 0.8736, 0.6207, 0.8547, 1.1936, 0.5501, 1.4369 and 1.2244, respectively (multi-point correction). The durability (RSD

Rechargeable magnesium batteries (RMBs), as a low-cost, high-safety and high-energy storage technology, have attracted tremendous attention in large-scale energy storage applications. However, the key anode/electrolyte interfacial issues, including surface passivation, uneven Mg plating/stripping, and pulverization after cycling still result in a large overpotential, short cycling life, poor power density, and possible safety hazards of cells, severely impeding the commercial development of RMBs. In this review, a concise overview of recently advanced strategies to address these anode/electroyte interfacial issues is systematically classified and summarized. The design of magnesiophilic substrates, construction of artificial SEI layers, and modification of electrolyte are important and effective strategies to improve the uniformity/kinetics of Mg plating/stripping and achieve the stable anode/electrolyte interface. The key opportunities and challenges in this field are advisedly put forward, and the insights into future directions for stabilizing Mg metal anodes and the anode/electrolyte interface are highlighted. This review provides important references fordeveloping the high-performance and high-safety RMBs.

Abstract Intrinsic breast cancer molecular subtyping (IBCMS) provides significant prognostic information for patients with breast cancer and helps determine treatment. This study compared IBCMS methods on various gene-expression platforms in PALOMA-2 and PALLET trials. PALOMA-2 tumor samples were profiled using EdgeSeq and nanostring and subtyped with AIMS, PAM50, and research-use-only (ruo)Prosigna. PALLET tumor biopsies were profiled using mRNA sequencing and subtyped with AIMS and PAM50. In PALOMA-2 (n = 222), a 54% agreement was observed between results from AIMS and gold-standard ruoProsigna, with AIMS assigning 67% basal-like to HER2-enriched. In PALLET (n = 224), a 69% agreement was observed between results from PAM50 and AIMS. Different IBCMS methods may lead to different results and could misguide treatment selection; hence, a standardized clinical PAM50 assay and computational approach should be used. Trial number: NCT01740427

Abstract Volume fracturing technology is commonly used to develop tight sandstone reservoirs. During the fracturing process, it is important to not only focus on achieving a larger stimulation volume but also on creating a fracture network conductivity that is suitable for the tight reservoir. However, while there have been numerous studies on optimizing the conductivity of individual fractures, the optimization of fracture network conductivity is still incomplete. To address this issue, a reservoir numerical model is established to optimize the equivalent conductivity of the post‐fracturing fracture network, considering it as a high permeability zone, optimizing the equivalent conductivity to 9.7 μm2 cm. Utilizing the discrete element theory, a “pipe domain” discrete element model is developed to analyze fracture expansion. The findings indicate that the ratios of first‐level, second‐level, and third‐level fractures differ based on the number of clusters, such as 1:4:8 and 1:5:9 for three‐cluster and four‐cluster perforations. By applying the hydropower similarity principle, the fracture network is treated as a three‐level circuit to determine the conductivity of each fracture level. Finally, the model is fitted based on conductivity to determine the optimal fracture conductivity for different fracture number ratios, thereby enhancing the flow capability.

To enhance the adhesion performance of acid-pickled enameled steel, the factors influencing its adhesion performance were studied, including enameling time, degreasing efficiency, surface color difference and surface roughness. Samples with varying degrees of degreasing, surface states and roughness were coated and enameled. The adhesion performance was then evaluated using the falling ball impact method. Results showed that when enameling was performed at 850 ℃, extending the enameling time from 5 to 10 min improved the adhesion grade from level 2.0 to 1.0. Additionally, at 5 min of enameling, insufficient degreasing, increased carbon from protective slags causing color differences and reduced roughness all decreased the adhesion performance between the steel plate and the enamel glaze. While the effects of insufficient degreasing and color differences could be mitigated by extending the enameling time to 10 min, the impact of roughness on adhesion performance remained significant even with extended enameling time.

Abstract Endophytic bacteria are one of the symbiotic microbial groups closely related to host algae. However, less research on the endophytic bacteria of marine algae. In this study, the endophytic bacterial community of Sargassum thunbergii was investigated using the culture method and high-throughput sequencing. Thirty-nine endophytic bacterial strains, belonging to two phyla, five genera and sixteen species, were isolated, and Firmicutes, Bacillus and Metabacillus indicus were the dominant taxa at the phylum, genus and species level, respectively. High-throughput sequencing revealed 39 phyla and 574 genera of endophytic bacteria, and the dominant phylum was Proteobacteria, while the dominant genus was Ralstonia. The results also indicated that the endophytic bacteria of S. thunbergii included various groups with nitrogen fixation, salt tolerance, pollutant degradation, and antibacterial properties but also contained some pathogenic bacteria. Additionally, the endophytic bacterial community shared a large number of groups with the epiphytic bacteria and bacteria in the surrounding seawater, but the three groups of samples could be clustered separately. In conclusion, there are a variety of functional endophytic bacteria living in S. thunbergii, and the internal condition of algae is a selective factor for the formation of endophytic bacterial communities. This study enriched the database of endophytic bacteria in marine macroalgae, paving the way for further understanding of the interrelationships between endophytic bacteria, macroalgae, and the environment.

Hyperuricemia has emerged as a significant global health concern, closely associated with various metabolic disorders. The adverse effects frequently observed with current pharmacological treatments for hyperuricemia highlight the urgent need for reliable animal models to elucidate the disease’s pathophysiological mechanisms, thereby facilitating the development of safer and more effective therapies. In this study, we established three rat models of hyperuricemia using potassium oxonate, either alone or in combination with fructose and adenine. Each model exhibited distinct pathological changes, with the combination of potassium oxonate, fructose, and adenine causing significantly more severe damage to liver and kidney functions than potassium oxonate alone. Serum metabolomics analyses revealed profound dysregulation in the metabolic pathways of purine, pyrimidines, and glutathione, underscoring the pivotal role of oxidative stress in the progression of hyperuricemia. We identified key biomarkers such as orotidine, ureidosuccinic acid, uracil, and pseudouridine, which are associated with uric acid-induced damage to hepatic and renal systems. MetOrigin tracing analysis further revealed that differential metabolites related to hyperuricemia are primarily involved in host-microbiome co-metabolic pathways, particularly in purine metabolism, with bacterial phyla such as Pseudomonadota, Actinomycetota, and Ascomycota being closely linked to the critical metabolic processes of uric acid production. These findings not only enhance our understanding of the pathogenic mechanisms underlying hyperuricemia but also provide a robust experimental model foundation for the development of innovative treatment strategies.

Background: Colon adenocarcinoma (COAD) is one of the most common malignant tumors. The interplay involving ferroptosis between tumor and immune cells plays a crucial in cancer progression. However, the biological basis of this interplay in COAD development remains elusive. Methods: Transcriptome data of COAD samples were obtained from The Cancer Genome Atlas and National Center for Biotechnology Information databases. Using single-sample gene set enrichment analysis, we calculated the ferroptosis score (FS) and immune cell infiltration levels for each sample, leveraging the expression levels of genes related to ferroptosis and various immune cell types. Samples with FSs greater than the 75th percentile were classified into the high-FS subgroup, while those below the 25th percentile were categorized as the low-FS subgroup. Moreover, tumor tissue samples and adjacent normal tissue samples were collected from twenty colon patients. Using real-time quantitative polymerase chain reaction, we validated the expression of certain genes in these samples. Results: The COAD samples with high FSs experienced favorable survival probability and heightened sensitivity to anticancer drugs, with FSs negatively associated with the pathological stages. Moreover, the up-regulated genes in high-FS subgroup exhibited enrichment in immune-related pathways, suggesting a correlation between immunity and ferroptosis. Importantly, we discovered a key lncRNA-mRNA co-expression network linking tumor cell ferroptosis and immune infiltration (e.g., neutrophil) in the progression and classification of COAD. Further analysis identified several ferroptosis-related lncRNAs (e.g., RP11-399O19.9) within this network, indicating their potential roles in COAD progression and deserving in-depth study. Conclusions: Our findings provide novel insights into the underlying biological basis, particularly involving lncRNAs, at gene expression level associated with ferroptosis in COAD and cancer therapy. Nevertheless, further analysis and validation are required to expand the findings.

Abstract The effective exploitation of infeasible solutions plays a crucial role in addressing constrained multiobjective optimization problems (CMOPs). However, existing constrained multiobjective optimization evolutionary algorithms (CMOEAs) encounter challenges in effectively balancing objective optimization and constraint satisfaction, particularly when tackling problems with complex infeasible regions. Subsequent to the prior exploration, this paper proposes a novel tri-stage with reward-switching mechanism framework (TSRSM), including the push, pull, and repush stages. Each stage consists of two coevolutionary populations, namely $${\text {Pop}}_1$$ Pop 1 and $${\text {Pop}}_2$$ Pop 2 . Throughout the three stages, $${\text {Pop}}_1$$ Pop 1 is tasked with converging to the constrained Pareto front (CPF). However, $${\text {Pop}}_2$$ Pop 2 is assigned with distinct tasks: (i) converging to the unconstrained Pareto front (UPF) in the push stage; (ii) utilizing constraint relaxation technique to discover the CPF in the pull stage; and (iii) revisiting the search for the UPF through knowledge transfer in the repush stage. Additionally, a novel reward-switching mechanism (RSM) is employed to transition between different stages, considering the extent of changes in the convergence and diversity of populations. Finally, the experimental results on three benchmark test sets and 30 real-world CMOPs demonstrate that TSRSM achieves competitive performance when compared with nine state-of-the-art CMOEAs. The source code is available at https://github.com/Qu-jq/TSRSM .

Abstract Mobility is a fundamental feature of mobile edge computing. Due to the mobility of users, the contextual attributes of cloudlets such as server resources and network state will dynamically change with time during offloading, showing time-varying and fuzzy characteristics. To this end, how to make efficient offloading decision to provide low-latency, low-power and highly reliable services in MEC has become a critical issue. In this paper, we propose a time-varying context-aware cloudlet decision algorithm based on neutrosophic set, TConNS $${\text {(The Code of TConNS is available at https://github.com/zhengLabs/NSO)}}$$ (The Code of TConNS is available at https://github.com/zhengLabs/NSO) . Firstly, we establish a representation model of the multi-dimensional time-varying context of candidate cloudlets, including the mobile residence time. Secondly, we adopt the backward generator of cloud model theory to transform the contextual raw data into a single-valued neutrosophic set with the expression ability for fuzzy information. Finally, we use a series of appropriate operations under the own unique computing system of neutrosophic set to obtain the best cloudlet. Extensive experiments show that TConNS reduces the average response time by about 49% and the average energy consumption by about 46%, and also reduces the number of task failures.

Abstract We analyze the impact of smartphone usage on multidimensional poverty reduction. Utilizing the A-F approach, we compute a multidimensional poverty index based on five dimensions: education, health, income, living standard, and labor force. This index categorizes multidimensional poverty into three levels: Vulnerable Multidimensional Poverty Index (VMPI), General Multidimensional Poverty Index (GMPI), and Extreme Multidimensional Poverty Index (EMPI), following MPI criteria. Furthermore, we investigate the mediating role of social capital in the smartphone-multidimensional poverty relationship through a mediating effects analysis. We used the survey data of 382 sample out-of-poverty rural households in Jiangxi, China, in 2020. Our results indicated that: (1) Education (37.80%), labor force (29.7%), and health (20.40%) were identified as the primary contributors to multidimensional poverty. (2) Increasing deprivation categories correlated with declining multidimensional poverty index, following an inverted U-shaped pattern. (3) Smartphone usage significantly reduced VMPI (57.6%), GMPI (52.6%), and EMPI (5%). (4) Social capital fully mediated EMPI reduction through smartphones (91.67%), and partially mediated VMPI (14.09%) and GMPI (20.84%) reduction. These insights inform targeted policy formulation for rural multidimensional poverty reduction.

Purpose To investigate the dietary nutrient intake of Maintenance hemodialysis (MHD) patients, identify influencing factors, and explore the correlation between dietary nutrient intake and nutritional and disease control indicators.Methods This was a multicenter cross-sectional study. A dietary survey was conducted using a three-day dietary record method, and a self-designed diet management software was utilized to calculate the daily intake of dietary nutrients. The nutritional status and disease control indicators were assessed using subjective global assessment, handgrip strength, blood test indexes, and dialysis adequacy.Results A total of 382 MHD patients were included in this study. Among them, 225 (58.9%) and 233 (61.0%) patients’ protein and energy intake did not meet the recommendations outlined in the National Kidney Foundation’s Kidney Disease Outcomes Quality Initiative Clinical Practice Guideline for Nutrition in Chronic Kidney Disease (2020 update). The average protein and energy intake for these patients were 0.99 ± 0.32 g/kg/d and 29.06 ± 7.79 kcal/kg/d, respectively. Multiple linear regression analysis showed that comorbidity-diabetes had a negative influence on normalized daily energy intake (nDEI = DEI / ideal body weight) (B = −2.880, p = 0.001) and normalized daily protein intake (nDPI = DPI / ideal body weight) (B = −0.109, p = 0.001). Pearson correlation analysis revealed that dietary DPI (r = −0.109, p

As no unified treatment protocol or evidence yet exists for plasmapheresis without plasma, this study explored the outcomes of using 4% human albumin (ALB) solution as a replacement solution in patients undergoing plasma exchange for multiple myeloma (MM) patients with acute kidney injury (AKI). This study was prospectively registered (ChiCTR2000030640 and NCT05251896). Bortezomib-based chemotherapy plus therapeutic plasmapheresis (TPP) with 4% human ALB solution was assessed for three years in patients with MM aged >18 years, with AKI according to the Kidney Disease Improving Global Outcomes criteria, and without previous renal impairment from other causes. The primary endpoints were changes in renal function over 18 weeks and survival outcomes at 36 months. The secondary endpoints were the incidence of adverse reactions and symptom improvement. Among the 119 patients included in the analysis, 108 experienced renal reactions. The M protein (absolute changes: median −12.12%, interquartile ranges (IQRs) −18.62 to −5.626) and creatine (median −46.91 μmol/L, IQR −64.70 to −29.12) levels decreased, whereas the estimated glomerular filtration rate (eGFR) increased (median 20.66 mL/(min·1.73 m2), IQR 16.03–25.29). Regarding patient survival, 68.1% and 35.3% of patients survived for >12 and >36 months, respectively. The three symptoms with the greatest relief were urine foam, poor appetite, and blurred vision. All 11 patients (7.6%) who experienced mild adverse reactions achieved remission. In conclusion, in MM patients with AKI, plasma-free plasmapheresis with 4% human ALB solution and bortezomib-based chemotherapy effectively alleviated light chain damage to kidney function while improving patient quality of life.

Abstract Background In China, ~1,072,100 small for gestational age (SGA) births occur annually. These SGA newborns are a high-risk population of developmental delay. Our study aimed to evaluate the genetic profile of SGA newborns in the newborn intensive care unit (NICU) and establish a prognosis prediction model by combining clinical and genetic factors. Methods A cohort of 723 SGA and 1317 appropriate for gestational age (AGA) newborns were recruited between June 2018 and June 2020. Clinical exome sequencing was performed for each newborn. The gene-based rare-variant collapsing analyses and the gene burden test were applied to identify the risk genes for SGA and SGA with poor prognosis. The Gradient Boosting Machine framework was used to generate two models to predict the prognosis of SGA. The performance of two models were validated with an independent cohort of 115 SGA newborns without genetic diagnosis from July 2020 to April 2022. All newborns in this study were recruited through the China Neonatal Genomes Project (CNGP) and were hospitalized in NICU, Children’s Hospital of Fudan University, Shanghai, China. Results Among the 723 SGA newborns, 88(12.2%) received genetic diagnosis, including 42(47.7%) with monogenic diseases and 46(52.3%) with chromosomal abnormalities. SGA with genetic diagnosis showed higher rates in severe SGA(54.5% vs. 41.9%, P=0.0025) than SGA without genetic diagnosis. SGA with chromosomal abnormalities showed higher incidences of physical and neurodevelopmental delay compared to those with monogenic diseases (45.7% vs. 19.0%, P=0.012). We filtered out 3 genes (ITGB4, TXNRD2, RRM2B) as potential causative genes for SGA and 1 gene (ADIPOQ) as potential causative gene for SGA with poor prognosis. The model integrating clinical and genetic factors demonstrated a higher area under the receiver operating characteristic curve (AUC) over the model based solely on clinical factors in both the SGA-model generation dataset (AUC=0.9[95% confidence interval 0.84–0.96] vs. AUC=0.74 [0.64–0.84]; P=0.00196) and the independent SGA-validation dataset (AUC=0.76 [0.6–0.93] vs. AUC=0.53[0.29–0.76]; P=0.0117). Conclusion SGA newborns in NICU presented with roughly equal proportions of monogenic and chromosomal abnormalities. Chromosomal disorders were associated with poorer prognosis. The rare-variant collapsing analyses studies have the ability to identify potential causative factors associated with growth and development. The SGA prognosis prediction model integrating genetic and clinical factors outperformed that relying solely on clinical factors. The application of genetic sequencing in hospitalized SGA newborns may improve early genetic diagnosis and prognosis prediction.

Abstract Gynecological cancers are a leading cause of mortality for women, including ovarian cancer (OC), cervical squamous cell carcinoma (CESC), and uterine corpus endometrial carcinoma (UCEC). Nevertheless, these gynecological cancer types have not elucidated the role of cuproptosis and the correlated tumor microenvironment (TME) infiltration features. CRGs had important potential molecular functions and prognostic significance in gynecological cancers, especially in UCEC. Hub CRG, FDX1, was correlated with the CD8+ T cell immune infiltration in UCEC and CESC. FDX1 OE could significantly repress the proliferation ability in UCEC cells by MTT, EdU, and clone formation. High levels of FDX1 could repress ATP and lactic acid but enhance ROS and glucose levels by metabolism assay. The xenograft tumor model indicated that FDX1 OE significantly inhibited the growth of UCEC and attenuated the PCNA, HK2, PKM2, and Ki-67 expression. These CRGs are significant roles that could be potential markers and treatment targets to optimize the TME immune cell infiltration features for gynecological cancer types. FDX1 is a hub CRGs in UCEC to promote immune infiltration and attenuate proliferation and metabolism.

Abstract The human bone marrow mesenchymal stem cells (hBMSCs) undergo intense osteogenic differentiation, a crucial bone formation mechanism. Evidence from prior studies suggested an association between long noncoding RNAs (lncRNAs) and the osteogenic differentiation of hBMSCs. However, precise roles and molecular mechanisms are still largely unknown. In this work, we report for the first time that lncRNA KCNMA1 antisense RNA 1 (KCNMA1-AS1) plays a vital role in regulating hBMSCs’ osteogenic differentiation. Here, it was observed that the KCNMA1-AS1 expression levels were significantly upregulated during osteogenic differentiation. In addition, KCNMA1-AS1 overexpression enhanced in vitro osteogenic differentiation of hBMSCs and in vivo bone formation, whereas knockdown of KCNMA1-AS1 resulted in the opposite result. Additionally, the interaction between KCNMA1-AS1 and mothers against decapentaplegic homolog 9 (SMAD9) was confirmed by an RNA pull-down experiment, mass spectrometry, and RIP assay. This interaction regulated the activation of the SMAD9 signaling pathway. Moreover, rescue assays demonstrated that the inhibitor of the SMAD9 signaling pathway reversed the stimulative effects on osteogenic differentiation of hBMSCs by KCNMA1-AS1 overexpression. Altogether, our results stipulate that KCNMA1-AS1 promotes osteogenic differentiation of hBMSCs via activating the SMAD9 signaling pathway and can serve as a biomarker and therapeutic target in treating bone defects.

Endophytic bacteria have a complex coevolutionary relationship with their host macroalgae. Dioecious macroalgae are important producers in marine ecosystems, but there is still a lack of research on how sex influences their endophytic bacteria. In this study, the endophytic bacterial communities in male and female S. thunbergii and their reproductive tissues (receptacles) were compared using culture methods and high-throughput sequencing. The endophytic bacterial communities detected by the two methods were different. Among the 78 isolated strains, the dominant phylum, genus, and species were Bacillota, Alkalihalobacillus, and Alkalihalobacillus algicola, respectively, in the algal bodies, while in the receptacles, they were Bacillota, Vibrio, and Vibrio alginolyticus. However, 24 phyla and 349 genera of endophytic bacteria were identified by high-throughput sequencing, and the dominant phylum and genus were Pseudomonadota and Sva0996_ Marine_ Group, respectively, in both the algal body and the receptacles. The two methods showed similar compositions of endophytic bacterial communities between the samples of different sexes, but the relative abundances of dominant and specific taxa were different. The high-throughput sequencing results showed more clearly that the sex of the host alga had an effect on its endophyte community assembly and a greater effect on the endophytic bacterial community in the receptacles. Moreover, most specific bacteria and predicted functional genes that differed between the samples from the males and females were related to metabolism, suggesting that metabolic differences are the main causes of sex differences in the endophytic bacterial community. Our research is the first to show that host sex contributes to the composition of endophytic bacterial communities in dioecious marine macroalgae. The results enrich the database of endophytic bacteria of dioecious marine macroalgae and pave the way for better understanding the assembly mechanism of the endophytic bacterial community of algae.

In ecological and environmental contexts, management actions must sometimes be chosen urgently. Value of information (VoI) analysis provides a quantitative toolkit for projecting the improved management outcomes expected after making additional measurements. However, traditional VoI analysis reports metrics as expected values (i.e.risk-neutral). This can be problematic because expected values hide uncertainties in projections. The true value of a measurement will only be known after the measurement’s outcome is known, leaving large uncertainty in the measurement’s value before it is performed. As a result, the expected value metrics produced in traditional VoI analysis may not align with the priorities of a risk-averse decision-maker who wants to avoid low-value measurement outcomes. In the present work, we introduce four new VoI metrics that can address a decision-maker’s risk-aversion to different measurement outcomes. We demonstrate the benefits of the new metrics with two ecological case studies for which traditional VoI analysis has been previously applied. In the first case study concerning a test for disease presence at a potential frog translocation site, traditional VoI analysis predicts the test yields an additional expected gain of approximately 10 frogs. However, our new VoI metrics also highlight a 40% risk that the test is valueless; this knowledge may deter a risk-averse decision-maker from doing the test. In the second case study concerning the design of a trial release prior to a large-scale turtle reintroduction, traditional and new VoI metrics have consistent predictions of which design to choose. However, whilst the best trial release design will increase expected turtle survival in the wild by only 3%, the new VoI metrics find that this trial design has a 94% probability of improving the design of the large-scale turtle reintroduction. Using the new metrics, we also demonstrate a clear mathematical link between the often-separated environmental decision-making disciplines of VoI and optimal design of experiments. This mathematical link has the potential to catalyse future collaborations between ecologists and statisticians to work together to quantitatively address environmental decision-making questions of fundamental importance. Overall, the introduced VoI metrics complement existing metrics to provide decision-makers with a comprehensive view of the value of, and risks associated with, a proposed monitoring or measurement activity. This is critical for improved environmental outcomes when decisions must be urgently made.

IntroductionThis paper examines the association between the dietary inflammatory index (DII) and the risk of metabolic syndrome (MS) and its components among Uygur adults in Kashi, Xinjiang.MethodsThe study used the multi-stage random cluster sampling method to investigate the adult residents of Uighu aged over 18 years old in one county and one township/street of three cities in Kashi between May and June 2021. All dietary data collected were analyzed for energy and nutrient intake with a nutritional analysis software, followed by a calculation of DII. Logistic regression was used to estimate the association between DII and the risks of MS and its components.ResultsThe maximum DII value across our 1,193 respondents was 4.570 to 4.058, with an average value of 0.256. When we analyzed the DII as a continuous variable, we determined the anti-inflammatory diet has been identified as a mitigating factor for metabolic syndrome (OR = 0.586, 95% CI = 0.395–0.870), obesity (OR = 0.594, 95% CI = 0.395–0.870), elevated fasting glucose levels (OR = 0.422, 95% CI = 0.267–0.668), and hypertension (OR = 0.698, 95% CI = 0.488–0.996). When the model was adjusted by sex, age, and occupation, we found a significant correlation between high- and low-density lipoproteinemia and DII (OR = 1.55, 95% CI = 1.040–2.323). The present study identified four distinct dietary patterns among the population under investigation. There was a linear trend in the incidence of MS and hypertension across low, middle, and high levels of fruits and milk dietary pattern model (p = 0.027; p = 0.033), within this dietary pattern may serve as protective factors against MS and hypertension, suggesting that fruits and milk within this dietary pattern may serve as protective factors against MS and hypertension. And the linear trend in the incidence of elevated fasting glucose and obesity across the low, medium, and high scores of meet and eggs dietary pattern (p = 0.006; p

Abstract Background The contributors predicting progressive infarction (PI) in patients with anterior circulation single subcortical infarction (ACSSI) and pontine single infarction (PSI) may be unidentical. The role of triglyceride to high‐density lipoprotein cholesterol (TG/HDL‐c) ratio on PI is unclear. The purpose of our study is to evaluate the correlation between TG/HDL‐c ratio and PI in patients with ACSSI or PSI. Methods Between January 2020 and October 2022, we retrospectively enrolled 738 patients including 638 ACSSI patients and 100 PSI patients to analyze. Demographic characteristics, clinical information, and laboratory data were collected within 24 h of admission. Results PI occurred in 143 (19.4%) patients. In univariate analysis, patients with PI had higher initial National Institutes of Health Stroke Scale (NIHSS) scores, higher discharge NIHSS scores, higher levels of fasting glucose, total cholesterol, TG, low‐density lipoprotein cholesterol, and TG/HDL‐c ratio, but lower levels of creatinine compared to patients with non‐PI (p

BackgroundInflammation and platelet activation play pivotal roles in acute ischemic stroke (AIS) pathogenesis. Early response to thrombolysis is a vital indicator for the long-term prognosis of AIS. However, the correlation between fibrinogen or the neutrophil-to-lymphocyte ratio (NLR) and the early response to intravenous thrombolysis in patients with AIS remains unclear.MethodsAIS patients undergoing intravenous thrombolysis were enrolled between January 2018 and May 2023. Blood cell counts were sampled before thrombolysis. A good response was defined as a National Institutes of Health Stroke Scale (NIHSS) score decreased ≥4 or complete recovery 24 h after thrombolysis treatment. A poor response was defined as any increase in the NIHSS score or a decrease in the NIHSS score

Traditional algorithms do not fully utilize the timing information of non-cooperative targets, and setting too many motion parameters can lead to complex dynamic model calculations. This paper proposes a long short-term memory (LSTM) network-based method for estimating the parameters of the active segment of the non-cooperative target under single-satellite observation. Based on the simulation training set of the active segment of the non-cooperative target, the network parameters of the LSTM network are designed, the motion characteristics of the active segment of the non-cooperative target are fully excavated through data-driven methods, and the candidate cutting trajectories are screened and predicted to realize the estimation of the motion parameters of the active segment of the non-cooperative target under the condition of single-satellite observation. The experimental results show that the estimation method proposed in this paper can effectively deal with the inaccurate problem with the non-cooperative target’s active segment motion model established under the condition of single-satellite observation, obtain more accurate active segment motion parameters, and provide a feasible new idea and method for the parameter estimation of the active segment of the non-cooperative target under the single-satellite observation.

The clearance of apoptotic cells known as efferocytosis is the final stage of apoptosis, and includes the recognition, phagocytosis, and degradation of apoptotic cells. The maintenance of tissue homeostasis requires the daily elimination of billions of apoptotic cells from the human body via the process of efferocytosis. Accordingly, aberrations in efferocytosis underlie a growing list of diseases, including atherosclerosis, cancer, and infections. During the initial phase of apoptosis, “Eat-Me” signals are exposed and recognized by phagocytes either directly through phagocyte receptors or indirectly through secreted proteins that function as bridge molecules that cross-link dying cells to phagocytes. Here, we set out to provide a comprehensive review of the molecular mechanisms and biological significance of secreted proteins in apoptotic cell clearance. Specifically, it focuses on how these secreted proteins act as bridging molecules to facilitate the clearance process.

The replicative senescence of human amniotic epithelial stem cells (hAECs) is a major concern towards its clinical application. This study found that a 300-kDa hyaluronic acid (HA) could effectively delay the replicative senescence of hAECs, as indicated by the downregulation of cellular senescence markers and alteration of the cell cycle, and substantially improve the differentiation capacities of hAECs. HA was confirmed to regulate the CD44 isoform switch by upregulating the CD44s and downregulating the CD44v, thus exerting an anti-aging effect. We further found that HA induced the upregulation of hyaluronan synthase (HAS) 2, resulting in the activation of epithelial splicing regulatory protein 1 (ESRP1) and alternative splicing of CD44 mRNA, thereby promoting CD44s expression and inhibiting CD44v expression. Knockdown of HAS2 blocked ESRP1 expression and attenuated the anti-aging effects of HA. Hermes-1, a specific blocker of CD44, caused partial loss of the anti-aging effect of HA, upregulated senescence markers, and downregulated stemness markers. Furthermore, CD44s receptor activation was shown to initiate the AKT/mTOR downstream signaling. Conclusively, the study suggested that HA delayed hAEC senescence by regulating CD44 isoform switch to activate the AKT/mTOR signaling pathway, and there is potential for the clinical application of hAECs in combination with HA.

Although stem cell transplantation is an effective strategy in the treatment of type 1 diabetes mellitus (T1DM), the mechanisms underlying its therapeutic effects remain unclear. We hypothesized that stem cells target gut microbiota and intestinal mucosal immunity to promote therapeutic effects against T1DM. We investigated the effects of human amniotic mesenchymal stem cells (hAMSCs) on intestinal microbiota and mucosal immunity in streptozotocin-induced T1DM mice. hAMSCs promoted significant reductions in blood glucose levels and increased the number of insulin-secreting cells in the T1DM model. Compared with T1DM model mice, 16S rRNA sequencing revealed significant differences in the composition, diversity, and abundance of microbiota in the ileum of hAMSC-treated mice. Bifidobacterium, Prevotella, and Alcaligenes species were among the 15 most abundant differential bacterial species. LC-MS revealed significant changes in ileal metabolites, and among the top 100 differential metabolites identified, we found that a significant increase in taurine was closely associated with hAMSC therapy. Additionally, we detected significant differences between the two groups with respect to the frequency and phenotype of CD4+ T cell subsets in mesenteric lymph nodes, and hAMSCs promoted significant increases in Th2 and Treg cell frequencies and reduced the frequencies of Th1 and Th17 cells. Moreover, correlation analysis revealed pairwise correlations between differential microflora and differential metabolites and immune signatures. hAMSCs thus have positive effects on the microbiota and their metabolites in the ileum and intestinal mucosal immunity in T1DM. Our findings indicate that gut microbiota and intestinal mucosal immunity may play vital roles in the hAMSC-based treatment of T1DM.

Abstract Salmonella is one of the most common zoonotic foodborne pathogens and can cause serious threats to public health and global economy. A dual‐mode biosensing platform was demonstrated based on cascaded signal amplification coupled with DNA‐functionalized Ag2S NPs@PB (Ag2S NPs@PB‐DNA) for ultrasensitive and selective Salmonella detection. Specifically, once Salmonella was recognized and captured by the control probe, the primer was released to trigger rolling circle amplification and generate a multimeric single‐stranded DNA (ssDNA) with repetitive sequences. The ssDNA could form multicomponent nucleic acid enzyme with cleavage activity to destroy multiple pieces of L‐DNA, achieving cascaded signal amplification and cleaving L‐DNA as a linker between DNA‐functionalized magnetite microspheres (MMs@DNA) and Ag2S NPs@PB‐DNA, leading to reduction in the capture of Ag2S NPs@PB by MMs@DNA. Due to the excellent photothermal properties of Ag2S NPs@PB under near‐infrared irradiation, the changes of temperature and pressure could be simultaneously monitored in the detection system, and the dual‐mode biosensing platform showed outstanding sensitivity, with a limit of the detection value of 100 CFU mL−1 in temperature and 101 CFU mL−1 in pressure. Moreover, the developed biosensing platform could successfully detect 5.7 CFU of Salmonella in spiked chicken breast after 4 h of enrichment. All the results show this study provides a new avenue for specific, sensitive, and convenient bacterial detection in food analysis and environment safety.

Many efforts have been made to understand excitotoxicity and develop neuroprotectants for the therapy of ischemic stroke. The narrow treatment time window is still to be solved. Given that the ischemic core expanded over days, treatment with an extended time window is anticipated. Bestrophin 1 (BEST1) belongs to a bestrophin family of calcium-activated chloride channels. We revealed an increase in neuronal BEST1 expression and function within the peri-infarct from 8 to 48 h after ischemic stroke in mice. Interfering the protein expression or inhibiting the channel function of BEST1 by genetic manipulation displayed neuroprotective effects and improved motor functional deficits. Using electrophysiological recordings, we demonstrated that extrasynaptic glutamate release through BEST1 channel resulted in delayed excitotoxicity. Finally, we confirmed the therapeutic efficacy of pharmacological inhibition of BEST1 during 6–72 h post-ischemia in rodents. This delayed treatment prevented the expansion of infarct volume and the exacerbation of neurological functions. Our study identifies the glutamate-releasing BEST1 channel as a potential therapeutic target against ischemic stroke with a wide time window.

Magnetic reconnection is well known as an efficient mechanism for transferring magnetic energy into plasma energy. However, how the energy conversion and partition between different species is influenced by the shear angle of the reconnecting magnetic component (i.e., the guide field strength) is not well understood. Using 2.5-dimensional particle-in-cell simulations, we investigated the energy conversion in reconnection with different guide fields. We found that the overall energy conversion first decreases steeply and then increases slowly when the guide field increases from \begin{document}$ {B}_{g} $\end{document} = 0 to \begin{document}$ {B}_{g} $\end{document} = 4. The increase in energy conversion in the large guide field regime is due to the electron energy gain through the perpendicular channel \begin{document}${\boldsymbol{J}}_{\perp }\cdot {\boldsymbol{E}}_{\perp }$\end{document}. The overall energy conversion is predominantly contributed by \begin{document}${\boldsymbol{J}}_{\perp }\cdot{ \boldsymbol{E}}_{\perp }$\end{document} rather than \begin{document}$ {J}_{\parallel }{E}_{\parallel } $\end{document}. We further find that energy conversion mainly occurs within the reconnection front and the flux pileup region. However, the contribution from the fore reconnection front becomes important in large guide field regimes (\begin{document}$ 3 < {B}_{g}\le 4 $\end{document}) because of the enhanced electron energy gain.

AIM: To explore the relationship between ocular and systemic conditions and the impact of ocular complications on the quality of life (QOL) in patients after allogeneic hematopoietic stem cell transplantation (ALLO-HSCT). METHODS: Forty-four patients with severe hematopoietic disease were enrolled after ALLO-HSCT at our center from July 2018 to October 2020. They completed two questionnaires: the Ocular Surface Disease Index (OSDI) and the quality-of-life scale for Chinese patients with visual impairment (SQOL-DV1). Ocular conditions and systemic conditions were also assessed. RESULTS: Eye damage was correlated with total bilirubin (P=0.005), and gamma-glutamyl transferase (GGT) (P=0.021). There was no significant correlation between the overall QOL score and OSDI (P=0.8226) or SQOL-DV1 (P=0.9526) scores. The OSDI and the overall QOL score were not correlated with ocular conditions, including best-corrected visual acuity (BCVA), intraocular pressure, Schirmer tear test II, sodium fluorescein staining, tear film breakup time, and tear meniscus height. SQOL-DV1 was correlated with BCVA (P=0.0007), sodium fluorescein staining (P=0.007), and tear film breakup time (P=0.0146). CONCLUSION: In some patients, early ocular symptoms are not evident after ALLO-HSCT, while ocular surface complications can be observed after a comprehensive ophthalmological examination. Especially for those with elevated total bilirubin or GGT, regular ophthalmic follow-up visits are essential to diagnose and treat ocular graft versus host disease (oGVHD), especially for patients with elevated total bilirubin or GGT.

In order to better understand pore–throat structure characteristics, the coupling relationship between micropore–throat structure and macro reservoir quality and influencing factors caused by authigenic minerals were studied. Petrographic analyses, scanning electron microscopy (SEM), pressure-controlled mercury injection (PMI), nuclear magnetic resonance (NMR), and X-ray diffraction (XRD) were performed on a suite of tight reservoir samples from the Chang 8 Member of the Upper Triassic Yanchang Formation in the southwestern Ordos Basin, China. The results show that the pore–throat sizes obtained with the combination of PMI and NMR methods varied from nano- to microscale, revealing pore–throat sizes ranging from 0.001 μm to 70 μm, and showing that pore–throats with a radius larger than 1.0 μm are rare. Larger pore–throats with good connectivity (>rapex) account for a smaller part of the total pore volume, ranging from approximately 7.58% to 38.90% with an average of 22.77%, but account for more than 80% of contributions to permeability. The effective movable fluid porosity (φemp) measured by NMR, ranging from approximately 0.10% to 7.07% with an average of 2.56%, had a positive contribution to permeability. The contents of chlorite occurrence state, other than illite, are beneficial to pore–throat preservation. A new reservoir evaluation scheme of the Chang 8 reservoir is established. These research results provide a theoretical basis for the evaluation and development of tight sandstone oil and gas exploration.

Since 1985, when oxidative stress was first defined as the oxidative damage caused to cells and organs, a large number of studies have shown that oxidative stress is a significant risk factor for various diseases, including tumors [...]