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Abstract Prenatal stress exerts long-term impact on neurodevelopment in the offspring, with consequences such as increasing the offspring’s risk of depression in adolescence and early adulthood. S-ketamine can produce rapid and robust antidepressant effects, but it is not clear yet whether and how S-ketamine alleviates depression in prenatally stressed offspring. The current study incestigated the preliminary anti-depression mechanism of S-ketamine in prenatally stressed offspring, particularly with regard to neuroplasticity. The pregnant females were given chronic unpredictable mild stress on the 7th-20th day of pregnancy and their male offspring were intraperitoneally injected with a single dose of S-ketamine (10 mg/kg) on postnatal day 42. Our findings showed that S-ketamine treatment counteracted the development of depression-like behaviors in prenatally stressed offspring. At the cellular level, S-ketamine markedly enhanced neuroplasticity in the CA1 hippocampus: Golgi-Cox staining showed that S-ketamine alleviated the reduction of neuronal complexity and dendritic spine density; Transmission electron microscopy indicated that S-ketamine reversed synaptic morphology alterations. At the molecular level, by western blot and RT-PCR we detected that S-ketamine significantly upregulated the expression of BDNF and PSD95 and activated AKT and mTOR in the hippocampus. In conclusion, prenatal stress induced by chronic unpredictable mild stress leads to depressive-like behaviors and hippocampal neuroplasticity impairments in male offspring. S-ketamine can produce antidepressant effects by enhancing hippocampal neuroplasticity via the BDNF/AKT/mTOR signaling pathway.

Abstract Abdominal aortic aneurysm (AAA) often remains undetected until rupture due to limited access to diagnostic ultrasound. This trial evaluated a deep learning (DL) algorithm to guide AAA screening by novice nurses with no prior ultrasonography experience. Ten nurses performed 15 scans each on patients over 65, assisted by a DL object detection algorithm, and compared against physician-performed scans. Ultrasound scan quality, assessed by three blinded expert physicians, was the primary outcome. Among 184 patients, DL-guided novices achieved adequate scan quality in 87.5% of cases, comparable to the 91.3% by physicians (p = 0.310). The DL model predicted AAA with an AUC of 0.975, 100% sensitivity, and 97.8% specificity, with a mean absolute error of 2.8 mm in predicting aortic width compared to physicians. This study demonstrates that DL-guided POCUS has the potential to democratize AAA screening, offering performance comparable to experienced physicians and improving early detection.

Existing research on the precise link between dietary niacin intake and erectile dysfunction (ED) is scarce. Thus, this study aimed to investigate the potential association between dietary niacin intake and the risk of ED. Multivariate logistic regression and restricted cubic splines (RCSs) were used to examine the relationship between dietary niacin intake and ED. Subgroup interaction analysis was performed to assess the impact of different subgroups on the study outcomes. In addition, 1:1 propensity score matching (PSM) was employed to adjust for potential confounding factors, ensuring the reliability of the results. The analyzed data were collected from the 2001–2004 National Health and Nutrition Examination Survey (NHANES) in the USA. The study encompassed 3184 adults, among whom 863 participants were identified as having ED. Following adjustments for potential confounders, the findings revealed that higher niacin intake, specifically in the highest tertile, was associated with a decreased risk of ED compared to that in the lowest tertile, showing an odds ratio (OR) of 0.56 (95% confidence interval [CI]: 0.37–0.85). Analysis of dose–response curves illustrated a negative correlation between dietary niacin intake and the risk of ED. Subgroup and interaction analyses fortified the consistency of these results. Furthermore, PSM corroborated the validity of the findings. This study suggests an inverse association between dietary niacin intake and the risk of ED. However, establishing a cause-and-effect relationship remains elusive, and defining the safe threshold of niacin intake to prevent ED requires further investigation.

Background Thyroid hormones are very important for normal growth and development of fetus. Hypothyroidism during pregnancy and Graves' hyperthyroidism in pregnancy are well-known risk factors for small for gestational age (SGA). However, the influence of isolated maternal hypothyroxinemia (IMH) in the first trimester during pregnancy on birthweight is less analyzed and controversial. Objective To examine the correlation of IMH in the first trimester during pregnancy with birthweight. Methods This was a retrospective cohort study involving singleton pregnant women with medical files and receiving prenatal examination, delivery or termination of pregnancy in the Beijing Obstetrics and Gynecology Hospital, Capital Medical University from January 2016 to October 2020. According to the 2.5th and 97.5th percentiles of free thyroxine (FT4) and thyroid stimulating hormone (TSH), participants were assigned into IMH group (n=344) and control group (n=19 426). Binary Logistic regression was used to analyze the correlation of IMH in the first trimester during pregnancy with birthweight. Then according to the pre-pregnancy body mass index (PPBMI), participants were assigned into the overweight/obesity group (PPBMI≥24.0 kg/m2, 69 cases in IMH group and 3 376 cases in control group) and non-overweight/obesity group (PPBMI0.05). Among participants with PPBMI0.05) . Conclusion IMH in the first trimester increases the risks of macrosomia and LGA during pregnancy, especially in pre-pregnancy non-overweight/obese women. Among pre-pregnancy overweight /obese women, IMH in the first trimester does not increase the risks of macrosomia and LGA. However, the incidences of LBW and SGA are comparable in the total cohort, women with pre-pregnancy overweight/obese or those without pre-pregnancy overweight/obese.

Abstract Diabetes mellitus (DM) is a well-documented risk factor of intervertebral disc degeneration (IVDD). The current study was aimed to clarify the effects and mechanisms of NADH: ubiquinone oxidoreductase subunit A3 (NDUFA3) in human nucleus pulposus cells (HNPCs) exposed to high glucose. NDUFA3 was overexpressed in HNPCs via lenti-virus transduction, which were co-treated with high glucose and rotenone (a mitochondrial complex I inhibitor) for 48 h. Cell activities were assessed for cell viability, cell apoptosis, reactive oxygen species (ROS) production, mitochondrial membrane potential (MMP) ratio, oxygen consumption rate (OCR) and mitochondrial complexes I activities. High glucose decreased cell viability, increased apoptotic cells, increased ROS production, decreased MMP levels and OCR values in HNPCs in a dose-dependent manner. Rotenone co-treatment augmented the high glucose-induced injuries on cell viability, apoptosis, ROS production and mitochondrial function. NDUFA3 overexpression counteracted the high glucose-induced injuries in HNPCs. HDAC/H3K27ac mechanism was involved in regulating NDUFA3 transcription. NDUFA3 knockdown decreased cell viability and increased apoptotic cells, which were reversed by ROS scavenger N-acetylcysteine. HDAC/H3K27ac-mediated transcription of NDUFA3 protects HNPCs against high glucose-induced injuries through suppressing cell apoptosis, eliminating ROS, improving mitochondrial function and oxidative phosphorylation. This study sheds light on candidate therapeutic targets and deepens the understanding of molecular mechanisms behind DM-induced IVDD.

Abstract Radiomics offers a noninvasive avenue for predicting clinicopathological factors. However, thorough investigations into a robust breast cancer outcome-predicting model and its biological significance remain limited. This study develops a robust radiomic model for prognosis prediction, and further excavates its biological foundation and transferring prediction performance. We retrospectively collected preoperative dynamic contrast-enhanced MRI data from three distinct breast cancer patient cohorts. In FUSCC cohort (n = 466), Lasso was used to select features correlated with patient prognosis and multivariate Cox regression was utilized to integrate these features and build the radiomic risk model, while multiomic analysis was conducted to investigate the model’s biological implications. DUKE cohort (n = 619) and I-SPY1 cohort (n = 128) were used to test the performance of the radiomic signature in outcome prediction. A thirteen-feature radiomic signature was identified in the FUSCC cohort training set and validated in the FUSCC cohort testing set, DUKE cohort and I-SPY1 cohort for predicting relapse-free survival (RFS) and overall survival (OS) (RFS: p = 0.013, p = 0.024 and p = 0.035; OS: p = 0.036, p = 0.005 and p = 0.027 in the three cohorts). Multiomic analysis uncovered metabolic dysregulation underlying the radiomic signature (ATP metabolic process: NES = 1.84, p-adjust = 0.02; cholesterol biosynthesis: NES = 1.79, p-adjust = 0.01). Regarding the therapeutic implications, the radiomic signature exhibited value when combining clinical factors for predicting the pathological complete response to neoadjuvant chemotherapy (DUKE cohort, AUC = 0.72; I-SPY1 cohort, AUC = 0.73). In conclusion, our study identified a breast cancer outcome-predicting radiomic signature in a multicenter radio-multiomic study, along with its correlations with multiomic features in prognostic risk assessment, laying the groundwork for future prospective clinical trials in personalized risk stratification and precision therapy.

Context The use of traditional Chinese medicine (TCM) for breast cancer patients inhibits tumor cell growth and proliferation, alleviates adverse reactions, and inhibits tumor recurrence and metastasis post-surgery. An assessment of its historical efficacy and an examination of the latest research trends are imperative to thoroughly leverage the potential of TCM for breast cancer treatment.Objective This study analyzes the published literature on TCM for breast cancer treatment using bibliometric analysis to determine the current state, identify hot spots, and discern trends, providing insight into research in this field.Methods TCM-based breast cancer treatment publications between 2003 and 2022 were retrieved from the Web of Science, China National Knowledge Infrastructure, Wanfang, and Duxiu databases. Visual analysis was performed using VOSviewer (V1.6.19) and CiteSpace (V6.3.R1) software. Examined metrics included the annual publication count, literature and journal, national and institutional contributions, author co-occurrence, keyword co-occurrence, keywords timeline, and keywords with citation bursts in this research field.Results and conclusion A total of 1080 English publications and 2617 Chinese publications were included in the analysis. China was the leading contributor of publications. High-frequency keywords such as ‘apoptosis’, ‘expression’, ‘in vivo’, ‘chemotherapy’, ‘triple-negative breast cancer’, and ‘lymphedema’ were identified from English and Chinese publications; ‘epithelial mesenchymal transition’ and ‘network pharmacology’ emerged as hotspots. The development of modern science, technology, and in-depth research can result in broader prospects for the research and application of TCM in breast cancer treatment, resulting in more effective solutions for the treatment of breast cancer and other malignant tumors.

Abstract Background Idiopathic ventricular arrhythmias (IVAs) arising from different portions of the communicating vein of the left ventricular summit (summit-CV) are not a rare phenomenon. Whereas its electrocardiographic (ECG) and electrophysiological characteristics are not fully investigated. Objective This study aimed to identify distinct ECG and electrophysiological features of IVAs originating from different portions of summit-CV. Methods Nineteen patients confirmed arising from summit-CV were included in this study. Results The 19 patients were divided into proximal and distal portion groups based on their target sites in summit-CV. In the proximal portion group, 100% (11/11) VAs showed dominant negative (rs or QS) waves in lead I, while in the distal portion group, 87.5% (7/8) showed dominant positive waves (R, Rs or r) (p 4mV, SI3.5mV, RI/SI>0.83, and RV1/SV1< 2.6 indicated a distal portion of summit-CV with the predictive value of 0.909, 1.000, 0.653, 0.972, 0.903, 0.966, respectively. A more positive wave in lead I and a more negative wave in lead V1 indicated more distal origin in summit-CV. Target sites in proximal and distal summit-CV groups showed similar electrophysiological characteristics during mapping. Conclusions There were significant differences in ECG characteristics of VAs at different portions of summit-CV, which could aid pre-procedure planning and facilitate radiofrequency catheter ablation (RFCA) procedures.

Abstract The Arctic has experienced a rapid sea ice loss in the Barents and Kara Seas in winter over the satellite era. Such sea ice loss has been modulated by anthropogenic forcing and internal variability, but a precise estimate of their relative contribution remains unclear. Here, using large ensemble simulations and machine-learning techniques, we successfully reproduce wintertime Barents-Kara sea ice trends as the joint impact of anthropogenic and internal variability components. Over the whole satellite period, anthropogenic forcing contributes about 70% to the Barents-Kara sea ice loss, with internal variability contributing to the remainder. However, internal variability is more important in explaining varying sea ice trends over shorter periods (~20 years), including the accelerated sea ice loss up to 2017, consistent with an extreme, unforced atmospheric circulation dipole trend in the Euro-Atlantic sector. Overall, this study highlights that internal variability plays a more important role in shaping recent winter Arctic sea ice loss than previously thought, and has implications for Arctic sea ice projections and the use of machine learning methods in future attribution studies.

Abstract Rapid and safe hemostasis is crucial for the survival of bleeding patients in prehospital care. It is urgent to develop high performance hemostatic material to control the massive hemorrhage in the military field and accidental trauma. In this work, an efficient protein hemostat of thrombin was immobilized onto commercial gauze, which was mediated by self-polymerization and anchoring of tannic acid (TA). Through TA treatment, the efficient immobilization of thrombin was achieved, preserving both the biological activity of thrombin and the physical properties of the dressing, including absorbency, breathability, and mechanical performance. Moreover, in the presence of TA coating and thrombin, Gau@TA/Thr could obviously shortened clotting time and enriched blood components such as plasma proteins, platelets, and red blood cells, thereby exhibiting an enhanced in vitro coagulation effect. In SD rat liver volume defect and artery transection hemorrhage models, Gau@TA/Thr still had outstanding hemostatic performance. Besides, the Gau@TA/Thr gauze had inherent antibacterial property and demonstrated excellent biocompatibility. All results suggested that Gau@TA/Thr would be a potential candidate for treating uncontrollable hemorrhage in prehospital care.

ObjectiveThis paper aims to reveal the influence of the afterburning effect of explosive materials in confined space explosion. MethodsA series of TNT blast tests are performed in a confined cabin filled with two different atmospheres, air and nitrogen. The temperature, pressure-time histories and deflection of the blast-loaded steel plate are recorded. The relationship between the deformation of the target plate and the energy released by the explosive is established. On this basis, a TNT equivalent method is proposed which takes into account the afterburning effect in a confined cabin. ResultsThe pressure, temperature and dynamic response of the target plate are significantly lower in the nitrogen environment than in the air environment due to the difference in the amount of energy released by the combustion of the explosive material. Thus, the energy released by the burning of TNT explosive materials and their enhancement effects should be considered in blast load analysis. ConclusionThe validity and applicability of the method are illustrated through a comparison with the existing TNT equivalent method based on quasi-static pressure.

Highlights Additive of 1-adamantanecarbonitrile is used to strengthen the poly(ethylene oxide) based solid polymer electrolytes (SPEs). LiF-based integral cathode/SPE and Li/SPE interfaces are generated. The NMC811/Li all-solid-state performs stable cycle at 45 °C (1000, 80%).

Parkinson’s disease (PD), as a refractory neurological disorder with complex etiology, currently lacks effective therapeutic agents. Natural products (NPs), derived from plants, animals, or microbes, have shown promising effects in PD models through their antioxidative and anti-inflammatory properties, as well as the enhancement of mitochondrial homeostasis and autophagy. The misfolding and deposition of α-Synuclein (α-Syn), due to abnormal overproduction and impaired clearance, being central to the death of dopamine (DA) neurons. Thus, inhibiting α-Syn misfolding and aggregation has become a critical focus in PD discovery. This review highlights NPs that can reduce α-Syn aggregation by preventing its overproduction and misfolding, emphasizing their potential as novel drugs or adjunctive therapies for PD treatment, thereby providing further insights for clinical translation.

The gross primary production (GPP) asymmetry (AGPP) is an essential indicator for predicting carbon sink stability in grassland ecosystems. However, little is known about the response patterns and potential driving mechanisms of asymmetry over long-time series at the biome-scale. Here, we used three satellite-based GPPs, combined with climate-vegetation-soil factors to calculate the AGPP, and then explored the transition characteristics and attributions of AGPP in the past 35 years. Our results showed that the temporal dynamics of AGPP followed a three-stage non-linear pattern (slow-declining stabilization period, fast-declining change period, and slow-increasing stabilization period) in the grasslands of Northern China. During the two stabilization periods, significant regional variations were observed among different ecological functional areas. I: humid and semi-humid meadow grassland and meadow area and II: semi-arid grassland area shifted from negative to positive asymmetry, with a decreasing contribution ratio of mean annual precipitation (MAP). Conversely, III: warm shrub-grassland area, V: alpine meadow area, and VI: alpine grassland area shifted from positive to negative asymmetry, with mean annual temperature (MAT) being the dominant driving factor. We further showed that the overall AGPP of the grasslands in Northern China continues to exhibit a positive asymmetry under future climate scenarios, which means that interannual changes in AGPP favor the promotion of the future grassland carbon sink. These results contribute to predicting interannual variations in grassland carbon sink and formulating grassland management measures.

Post-stroke depression (POSD) is a common difficulty and most predominant emotional syndrome after stroke often consequences in poor outcomes. In the present investigation, we have designed and studied the neurologically active celastrol/minocycline encapsulated with macrophages-derived exosomes functionalized PLGA nanoformulations (CMC-EXPL) to achieve enhanced anti-inflammatory behaviour and anti-depressant like activity in a Rat model of POSD. The animal model of POSD was established through stimulating process with chronic unpredictable mild stress (CUM) stimulations after procedure of middle cerebral artery occlusion (MCAO). Neuronal functions and Anti-inflammation behaviours were observed by histopathological (H&E) examination and Elisa analyses, respectively. The anti-depressive activity of the nanoformulations treated Rat models were evaluated by open-field and sucrose preference test methods. Microglial polarization was evaluated via flow-cytometry and qRT-PCR observations. The observed results exhibited that prepared nanoformulations reduced the POSD-stimulated depressive-like activities in rat models as well alleviated the neuronal damages and inflammatory responses in the cerebral hippocampus. Importantly, prepared CMC-EXPL nanoformulation effectively prevented the M1 pro-inflammatory polarization and indorsed M2 anti-inflammatory polarization, which indicates iNOS and CD86 levels significantly decreased and upsurged Arg-1 and CD206 levels. CMC-EXPL nanoformulation suggestively augmented anti-depressive activities and functional capability and also alleviated brain inflammation in POSD rats, demonstrating its therapeutic potential for POSD therapy.

Soil and water conservation measures (SWCM) have wide-ranging effects on vegetation and soil, and their effects on the ecosystem are multifaceted, with complex mechanisms. While numerous studies have focused on the impact of such measures on soil, the improvement of plant functional traits is a major factor in the ecological recovery of the Loess Plateau. This survey extensively investigated no measure plots, vegetation measure plots, and engineering measure plots in the Loess Plateau. The impact of SWCM on plant functional traits was investigated using structural equation modeling. We examined six plant functional traits—leaf dry weight (LD), specific leaf area (SLA), leaf tissue density (LTD), leaf total phosphorus (LTP), leaf total nitrogen (LTN), and leaf volume (LV)—correlated with resource acquisition and allocation. In 122 plots, we explored the effects of measures, soil, diversity, and community structure on the weighted average of plant functional traits. The findings showed substantial positive correlations between LD and SLA, LD and LV, SLA and LV, SLA and LTP, and LTP and LTN. LTD has a substantial negative correlation with LD, LTD with SLA, and LTD with LV. SWCM limits diversity, and the mechanisms by which it affects plant functional traits vary. In the structural equation model (SEM) of vegetation measures, improving community structure enhances plant functional traits, but soil factors have the greatest influence on plant functional traits in SEM engineering measures. Plant functional trait differences on the Loess Plateau result are due to differential plant responses to diverse soil properties and community structure. Vegetation measures enhance the chemical properties of plant functional traits, while engineering measures improve physical properties. The study provides a theoretical foundation for vegetation restoration and management following the implementation of diverse SWCM.

Background: Patients with gastric cancer (GC) who underwent radical surgery require long-term follow-up (usually 5 years). The purpose of this study was to explore individualized follow-up strategies for patients with GC. Methods: This is a retrospective cohort study that established a clinicopathologic database of patients who underwent gastrectomy from January 2010 to December 2020 at Ningbo No. 2 Hospital. Follow-up was performed until March 2023. The rate of new-onset recurrence of patients with GC was explored annually according to different pTNM stages, defining a recurrence rate of less than 1% as adequate follow-up time. Results: Of the 1606 patients who were eligible, the total number of patients who completed the 5- and 10-year follow-up was 1107 and 586, respectively. A total of 444 cases were diagnosed with recurrence. The recurrence rate for stage IA patients was consistently less than 1% during the follow-up time. The adequate follow-up time (the rate of new-onset recurrence less than 1%) was 5 years for stage IB and IIA patients, and 8 years for stage IIB and IIIA patients, respectively. In contrast, stage IIIB patients were always at risk of recurrence during the follow-up time (>1%). Time to a new recurrence rate for stage IIIC patients was 6 years. Conclusion: Among patients who underwent radical gastrectomy, the rate of new-onset recurrence varied among patients with different pTNM stages. This study suggests that the follow-up of GC can be individualized and refer to pTNM stage.

Patients who are immunosuppressed, such as solid organ transplant recipients (SOTRs), are at a higher risk of developing cutaneous squamous cell carcinoma (cSCC). This population is at a higher risk of metastasis and worse disease-specific survival. The objective of this review is to better characterize the immunosuppressed population with metastatic cSCC. A literature search was conducted to identify reports of lymphatic metastases in immunosuppressed patients with cSCC. Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines were followed during creation of a cohort with desired inclusion and exclusion criteria. One hundred and thirty-five articles met the inclusion/exclusion criteria, yielding 1020 total cases. We discovered that the most common forms of immunosuppression within the cohort were solid organ transplantation and hematologic malignancy. White males and cSCC tumors involving the head and neck comprised most cases. Using Brigham and Women’s Hospital and Eighth edition of American Joint Committee on Cancer tumor staging criteria, we observed a trend toward higher stage tumors in SOTR than in patients with hematologic malignancy. This review confirms that known clinical risk factors for metastatic cSCC appear to be similar among the immunosuppressed population and the cSCC population at large. Interestingly, our data suggest that current staging systems may not accurately reflect metastatic risk among patients with hematologic malignancy.

Based on the analysis of the demand of U.S. aviation assets to implement of the long-range air-to-air intervention of the great powers high-end war, and combined with the penetrating counter air fighter, collaborative combat aircraft, AIM-260 air-to-air missiles, Long Shot unmanned aerial vehicles and other projects, as well as the latest concept of operations, such as agile combat employment, this paper researches and analyzes three kinds of long range air-to-air intervention operation scenarios: using the next generation stealthy manned fighter to achieve kill chain self-closing, based on stealth manned aircraft and stealth unmanned aircraft to execute distributed air operations, and using existing non-stealth aircraft under the outer information support to carry out long-range air-to-air strikes. In the end, raise three points of view.

Abstract Background The evolutionarily conserved protein FBXO9 acts as a substrate receptor for the SKP1-cullin-1-RBX1 ubiquitin ligase and is implicated in cancer, exhibiting either tumor-suppressive or oncogenic effects depending on the specific tumor type. However, their role in lung cancer metastasis remains unclear. Methods Lentiviral vectors carrying miRNA-based shRNA sequences for gene-specific knockdown were generated, and Lenti-CRISPR-Cas9 vectors containing gene-specific sgRNA sequences were designed. Gene overexpression was achieved using doxycycline-inducible lentiviral constructs, while gene knockdown or knockout cells were generated using shRNA and CRISPR-Cas9, respectively. Functional assays included migration, clonogenic survival assays, tumor sphere assays, and protein interaction studies using mass spectrometry, immunoprecipitation, and immunoblot analysis. Results This study identified FBXO9 as a crucial regulator that suppresses lung cancer cell migration, tumor sphere growth and restricts metastasis. We showed that FBXO9 facilitates the ubiquitination of the catalytic subunit A (ATP6V1A) of the Vacuolar-type H+-ATPase (V-ATPase), resulting in its interaction with the cytoplasmic chaperone HSPA8 and subsequent sequestration within the cytoplasm. This process hinders the assembly of functional V-ATPase, resulting in reduced vesicular acidification. In contrast, depletion of FBXO9 reduced ATP6V1A ubiquitination, resulting in increased V-ATPase assembly and vesicular acidification, thus promoting pro-metastatic Wnt signaling and metastasis of lung cancer cells. Furthermore, we demonstrated the effectiveness of inhibitors targeting V-ATPase in inhibiting lung cancer metastasis in a mouse model. Finally, we established a correlation between lower FBXO9 levels and poorer survival outcomes in patients with lung cancer. Conclusion These findings collectively elucidate the critical role of FBXO9 in regulating V-ATPase assembly and provide a molecular basis for FBXO9’s function in inhibiting lung cancer metastasis. This highlights the potential therapeutic opportunities of FBXO9 supplementation.

Abstract How communities of living organisms assemble has long been a central question in ecology. The impact of habitat filtering and limiting similarity on plant community structures is well known, as both processes are influenced by individual responses to environmental fluctuations. Yet, the precise identifications and quantifications of the potential abiotic and biotic factors that shape community structures at a fine scale remains a challenge. Here, we applied null model approaches to assess the importance of habitat filtering and limiting similarity at two spatial scales. We used 63 natural vegetation plots, each measuring 5 × 5 m, with three nested subplots measuring 1 × 1 m, from the 2021 field survey, to examine the alpha diversity as well as beta diversity of plots and subplots. Linear mixed‐effects models were employed to determine the impact of environmental variables on assembly rules. Our results demonstrate that habitat filtering is the dominant assembly rules at both the plot and subplot levels, although limiting similarity assumes stronger at the subplot level. Plot‐level limiting similarity exhibited a positive association with fine‐scale partitioning, suggesting that trait divergence originated from a combination of limiting similarity and spatial partitioning. Our findings also reveal that the community assembly varies more strongly with the mean annual temperature gradient than the mean annual precipitation. This investigation provides a pertinent illustration of non‐random assembly rules from spatial scale and environmental factors in plant communities in the loess hilly region. It underscores the critical influence of spatial and environmental constraints in understanding the assembly of plant communities.

Abstract Sodium ion batteries (SIBs) are considered as the ideal candidates for the next generation of electrochemical energy storage devices. The major challenges of anode lie in poor cycling stability and the sluggish kinetics attributed to the inherent large Na+ size. In this work, Bi nanosphere encapsulated in N‐doped carbon nanowires (Bi@N‐C) is assembled by facile electrospinning and carbonization. N‐doped carbon mitigates the structure stress/strain during alloying/dealloying, optimizes the ionic/electronic diffusion, and provides fast electron transfer and structural stability. Due to the excellent structure, Bi@N‐C shows excellent Na storage performance in SIBs in terms of good cycling stability and rate capacity in half cells and full cells. The fundamental mechanism of the outstanding electrochemical performance of Bi@N‐C has been demonstrated through synchrotron in‐situ XRD, atomic force microscopy, ex‐situ scanning electron microscopy (SEM) and density functional theory (DFT) calculation. Importantly, a deeper understanding of the underlying reasons of the performance improvement is elucidated, which is vital for providing the theoretical basis for application of SIBs.

Radiation causes damage to normal tissues that leads to increased oxidative stress, inflammation, and fibrosis, highlighting the need for the selective radioprotection of healthy tissues without hindering radiotherapy effectiveness in cancer. This study shows that adiponectin, an adipokine secreted by adipocytes, protects normal tissues from radiation damage in vitro and in vivo. Specifically, adiponectin (APN) reduces chronic oxidative stress and fibrosis in irradiated mice. Importantly, APN also conferred no protection from radiation to prostate cancer cells. Adipose tissue is the primary source of circulating endogenous adiponectin. However, this study shows that adipose tissue is sensitive to radiation exposure exhibiting morphological changes and persistent oxidative damage. In addition, radiation results in a significant and chronic reduction in blood APN levels from adipose tissue in mice and human prostate cancer patients exposed to pelvic irradiation. APN levels negatively correlated with bowel toxicity and overall toxicities associated with radiotherapy in prostate cancer patients. Thus, protecting, or modulating APN signaling may improve outcomes for prostate cancer patients undergoing radiotherapy.

Background: The course of organ dysfunction (OD) in Corona Virus Disease 2019 (COVID-19) patients is unknown. Herein, we analyze the temporal patterns of OD in intensive care unit-admitted COVID-19 patients. Methods: Sequential organ failure assessment scores were evaluated daily within 2 weeks of admission to determine the temporal trajectory of OD using group-based multitrajectory modeling (GBMTM). Results: A total of 392 patients were enrolled with a 28-day mortality rate of 53.6%. GBMTM identified four distinct trajectories. Group 1 (mild OD, n = 64), with a median APACHE II score of 13 (IQR 9-21), had an early resolution of OD and a low mortality rate. Group 2 (moderate OD, n = 140), with a median APACHE II score of 18 (IQR 13-22), had a 28-day mortality rate of 30.0%. Group 3 (severe OD, n = 117), with a median APACHR II score of 20 (IQR 13-27), had a deterioration trend of respiratory dysfunction and a 28-day mortality rate of 69.2%. Group 4 (extremely severe OD, n = 71), with a median APACHE II score of 20 (IQR 17-27), had a significant and sustained OD affecting all organ systems and a 28-day mortality rate of 97.2%. Conclusions: Four distinct trajectories of OD were identified, and respiratory dysfunction trajectory could predict nonpulmonary OD trajectories and patient prognosis.

Abstract The treatment of diabetic periodontitis poses a significant challenge due to the presence of local inflammation characterized by excessive glucose concentration, bacterial infection, and high oxidative stress. Herein, mesoporous silica nanoparticles (MSN) are embellished with gold nanoparticles (Au NPs) and loaded with manganese carbonyl to prepare a carbon monoxide (CO) enhanced multienzyme cooperative hybrid nanoplatform (MSN‐Au@CO). The Glucose‐like oxidase activity of Au NPs catalyzes the oxidation of glucose to hydrogen peroxide (H2O2) and gluconic acid，and then converts H2O2 to hydroxyl radicals (•OH) by peroxidase‐like activity to destroy bacteria. Moreover, CO production in response to H2O2, together with Au NPs exhibited a synergistic anti‐inflammatory effect in macrophages challenged by lipopolysaccharides. The underlying mechanism can be the induction of nuclear factor erythroid 2‐related factor 2 to reduce reactive oxygen species, and inhibition of nuclear factor kappa‐B signaling to diminish inflammatory response. Importantly, the antibacterial and anti‐inflammation effects of MSN‐Au@CO are validated in diabetic rats with ligature‐induced periodontitis by showing decreased periodontal bone loss with good biocompatibility. To summarize, MSN‐Au@CO is fabricate to utilize glucose‐activated cascade reaction to eliminate bacteria, and synergize with gas therapy to regulate the immune microenvironment, offering a potential direction for the treatment of diabetic periodontitis.