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Background: This is the first study to evaluate the efficacy of short-term Spinal Cord Stimulation (st-SCS) versus debridement for treating Diabetic Foot Ulcers (DFU). Methods: We retrospectively analyzed records from DFU patients treated at our hospital. Patients were divided into two groups: 62 received st-SCS with debridement (SCS group), and 43 received only debridement (debridement group). We recorded ulcer area, Ankle-Brachial Index, sleep and life quality indices, foot temperature, and visual analog pain scale, and at 2 and 6 weeks post-operation, monitoring adverse events as well. Compared these indicators between the two groups, and changes in the SCS group were specifically analyzed at different time points. Results: Initially, both groups were comparable (P > 0.05). At 2 weeks postoperatively, the ulcer area reduction rate in the SCS group was higher than debridement group (24.37 % vs 12.77 %, P = 0.025), but this advantage disappeared by 6 weeks (P = 0.110). Compared to baseline, therapeutic indicators in the SCS group showed significant improvement at 2 weeks postoperatively and were significantly better than debridement group (P 0.05). The amputation rate was higher in the debridement group (16.28 % vs 3.23 %, P = 0.036), and there were no significant differences in complications (P=0.132). Conclusion: St-SCS shows significant early benefits over debridement in ulcer healing, pain relief, circulation improvement, and lower amputation rates. However, these benefits did not persist at 6 weeks post-treatment.

Abstract Background In clinical practice, the emergence of ST11-K64 carbapenem-resistant Klebsiella pneumoniae (ST11-K64 CRKP) has become increasingly alarming. Despite this trend, limited research has been conducted to elucidate the clinical and molecular characteristics of these strains. Objectives This study aimed to comprehensively investigate the clinical characteristics, antimicrobial resistance patterns, resistance and virulence-associated genes, and molecular epidemiology of ST11-K64 CRKP in Southwest China. Methods A retrospective analysis was performed on patients infected with carbapenem-resistant Klebsiella pneumoniae (CRKP) in a tertiary care hospital between July 2021 and May 2022. A total of 69 CRKP strains were isolated, with clinical data collected for detailed analysis. Laboratory assessments included antimicrobial susceptibility testing, hypermucoviscosity string testing, genotypic characterization of antimicrobial resistance and virulence genes, and multi-locus sequence typing. Statistical analyses were conducted using SPSS, with significance set at P

Abstract CDK4/6i, the first-line drug for treating ERα-positive breast cancer, significantly improves clinical outcomes. However, CDK4/6i resistance often develops and remains a major hurdle, and the underlying mechanisms remain challenging to fully investigate. Here, we used Genome-wide CRISPR/Cas9 library screening combined with single-cell sequencing to screen for molecules mediating CDK4/6i resistance and identified METTL14 as a determinant of CDK4/6i sensitivity. Clinical samples and datasets were analyzed and in vitro and in vivo experiments were performed to confirm the critical function of METTL14 in CDK4/6i resistance. Mechanistically, METTL14 can induce an increase in E2F1 expression in breast cancer cells via an m6A IGF2BP2-dependent mechanism and thus promote CDK4/6i resistance. Furthermore, through a small molecule screen, a novel METTL14 inhibitor named WKYMVM, which can restore sensitivity to CDK4/6i in CDK4/6i-resistant breast cancer cells, was identified. Treatment with folate-conjugated liposomes targeting breast cancer cells that contained both a CDK4/6i and WKYMVM revealed the synergistic effect of METTL14 inhibition with CDK4/6i therapy in a CDK4/6i-resistant PDX model. Together, our findings reveal the mechanism of CDK4/6i resistance and provide a strategy for overcoming CDK4/6i resistance via METTL14 inhibition. Graphical Abstract

Abstract Objectives Toona sinensis, commonly known as Chinese toon, is a perennial woody plant with significant economic and ecological importance. This study employed whole-genome resequencing of 180 T. sinensis samples collected from Shandong to analyze genetic variation and diversity, ultimately identifying 18,231 high-quality SNPs after rigorous quality control and linkage disequilibrium pruning. This comprehensive genomic resource provides novel insights into the genetic architecture of T. sinensis, facilitating the elucidation of population structure and supporting future breeding programs. Data description We performed whole-genome resequencing on 180 Toona sinensis samples, generating 1170.26 Gbp of clean data with a Q30 percentage of 93.69%. The average alignment rate to the reference genome was 96.72%, with an average coverage depth of 8 × and a genome coverage of 88.71%. Following data quality control and alignment, we performed SNP calling and filtering to identify high-quality SNPs across all samples. Population structure analyses were then conducted using the identified SNPs, including principal component analysis (PCA), structure analysis, and phylogenetic tree construction. These comprehensive analyses provide a foundation for understanding the genetic diversity and evolutionary dynamics of T. sinensis.

Abstract The exposure to extreme heat at workplaces poses substantial threat to human effort and manual labour. This becomes more prominent due to the global dispersion of labour-intensive production activities via trade. We combine a climate model with an input–output model to quantify the risks associated with trade-related occupational extreme heat exposure. Here we show an 89% surge in trade-related labour exposure to extreme heat, escalating from 221.5 to 419.0 billion person-hours between 1995 and 2020. Lower-middle-income and low-income economies constituted 53.7% and 18.3% of global exposure but only 5.7% and 1.0% of global labour compensation. In countries highly susceptible to extreme heat conditions, workers perform tasks in heated conditions for up to about 50% of their working hours. The disproportionate trade effects in redistributing global benefits and costs leads to the inequality in heat exposure between developed and developing economies. In striving for equitable and safe work conditions, workers vulnerable to heat extremes in developing economies should be protected by climate adaptation infrastructure, given their critical roles in the global production system.

Abstract In this work, a multi-stage material design framework combining machine learning techniques with density functional theory is established to reveal the mechanism of phase stabilization in HfO2 based ferroelectric materials. The ferroelectric phase fractions based on a more stringent relationship of phase energy differences is proposed as an evaluation criterion for the ferroelectric performance of hafnium-based materials. Based on the Boltzmann distribution theory, the abstract phase energy difference is converted into an intuitive phase fraction distribution mapping. A large-scale prediction of unknown dopants is conducted within the material design framework, and gallium (Ga) is identified as a new dopant for HfO2. Both experiments and density functional theory calculations demonstrate that Ga is an excellent dopant for ferroelectric hafnium oxide, especially, the experimentally determined variation trends of ferroelectric phase fraction and polarization properties with Ga doping concentration are in good agreement with the predictions given by machine learning. This work provides a new perspective from machine learning to deepen the understanding of the ferroelectric properties of HfO2 materials, offering fresh insights into the design and performance prediction of HfO2 ferroelectric thin films.

Abstract Repeated closed-head injuries (rCHI) from activities like contact sports, falls, military combat, and traffic accidents pose a serious risk due to their cumulative impact on the brain. Often, rCHI is not diagnosed until symptoms of irreversible brain damage appear, highlighting the need for preventive measures. This study assessed the prophylactic efficacy of remote photobiomodulation (PBM) targeted at the lungs against rCHI-induced brain injury and associated behavioral deficits. Utilizing the “Marmarou” weight-drop model, rCHI was induced in rats on days 0, 5, and 10. Remote PBM, employing an 808 nm continuous wave laser, was administered daily in 2-min sessions per lung side over 20 days. Behavioral deficits were assessed through three-chamber social interaction, forced swim, grip strength, open field, elevated plus maze, and Barnes maze tests. Immunofluorescence staining and 3D reconstruction evaluated neuronal damage, apoptosis, degeneration, and the morphology of microglia and astrocytes, as well as astrocyte and microglia-mediated excessive synapse elimination. Additionally, 16S rDNA amplicon sequencing analyzed changes in the lung microbiome following remote PBM treatment. Results demonstrated that remote PBM significantly improved depressive-like behaviors, motor dysfunction, and social interaction impairment while enhancing grip strength and reducing neuronal damage, apoptosis, and degeneration induced by rCHI. Analysis of lung microbiome changes revealed an enrichment of lipopolysaccharide (LPS) biosynthesis pathways, suggesting a potential link to neuroprotection. Furthermore, remote PBM mitigated hyperactivation of cortical microglia and astrocytes and significantly reduced excessive synaptic phagocytosis by these cells, highlighting its potential as a preventive strategy for rCHI with neuroprotective effects.

AIM: To explore the control effects of wearing orthokeratology lens for 1 a on adolescent myopia patients with different diopters.METHODS: Prospective non-randomized controlled study. A total of 120 adolescent myopic patients(224 eyes), with an average age of 11.00±2.08 years old, who were fitted with orthokeratology lenses in the optometry department of our hospital from November 2022 to May 2023 were collected. There were 3 groups according to the spherical equivalent, including 86 eyes in the group of -0.50--2.00 D, 99 eyes in the group -2.25--4.00 D, and 39 eyes in group -4.25--6.00 D. Patients were followed up for 1 a to observe the changes of uncorrected visual acuity, axial length, corneal curvature, corneal central thickness and corneal endothelial cells density in the three groups after wearing lens for 1 a.RESULTS:A total of 113 cases(212 eyes)were followed up for 1 a, including 82 eyes in the group of -0.50--2.00 D, 95 eyes in the group of -2.25--4.00 D, and 35 eyes in the group of -4.25--6.00 D. There was no statistical difference in corneal central thickness and corneal endothelial cell density among the three groups of patients after wearing lens for 1 a(all P>0.05). Uncorrected visual acuity was significantly improved, and flat kerotometry(FK)and steep kerotometry(SK)were significantly flatter(both P

Excessive inflammation caused by bacterial infection is the primary cause of implant failure. Antibiotic treatment often fails to prevent peri-implant infection and may induce unexpected drug resistance. Herein, a non-antibiotic strategy based on the synergy of silver ion release and macrophage reprogramming is proposed for preventing infection and bacteria-induced inflammation suppression by the organic-inorganic hybridization of silver nanoparticle (AgNP) and quercetin (Que) into a polydopamine (PDA)-based coating on the 3D framework of porous titanium (SQPdFT). Once the planktonic bacteria (e.g., Escherichia coli, Staphylococcus aureus) reach the surface of SQPdFT, released Que disrupts the bacterial membrane. Then, AgNP can penetrate the invading bacterium and kill them, which further inhibits the biofilm formation. Simultaneously, released Que can regulate macrophage polarization homeostasis via the peroxisome proliferators-activated receptors gamma (PPARγ)-mediated nuclear factor kappa-B (NF-κB) pathway, thereby terminating excessive inflammatory responses. These advantages facilitate the adhesion and osteogenic differentiation of bone marrow-derived mesenchymal stem cells (BMSCs), concomitantly suppressing osteoclast maturation, and eventually conferring superior mechanical stability to SQPdFT within the medullary cavity. In summary, owing to its excellent antibacterial effect, immune remodeling function, and pro-osteointegration ability, SQPdFT is a promising protective coating for titanium-based implants used in orthopedic replacement surgery.

National dietary guidelines serve as a strategic tool to facilitate dietary adjustments, improve human nutrition, and reduce environmental strain by guiding individuals toward healthier dietary choices. This study examines the evolution of Chinese Dietary Guidelines (CDG) and compares them with Chinese residents’ current dietary structure. The effects of the CDG on nutrition, the environment, and cost were evaluated. The results demonstrated that the gap between Chinese residents’ dietary structure and the CDG predominantly manifests as a severe deficiency in dairy consumption. The nutrients currently recommended in the CDG cannot meet the needs of the human body and have significant environmental impacts. In terms of cost, rural residents’ incomes may not be sufficient to fully adhere to CDG recommendations. We propose that future updates to the CDG should address issues related to inadequate nutrition and significant environmental impacts. Simultaneously, the government should prioritize facilitating access to the nutritionally adequate food recommended in the CDG for low-income groups.

Abstract Background Idiopathic Pulmonary Fibrosis (IPF) is a type of interstitial lung disease characterized by chronic inflammation due to persistent lung damage. Mesenchymal stem cells (MSCs), including those derived from the umbilical cord (UCMSCs) and placenta (PLMSCs), have been utilized in clinical trials for IPF treatment. However, the varying therapeutic effectiveness between these two MSC types remains unclear. Methods In this study, we examined the therapeutic differences between UCMSCs and PLMSCs in treating lung damage using a bleomycin (BLM)-induced pulmonary injury mouse model. Results We showed that UCMSCs had a superior therapeutic impact on lung damage compared to PLMSCs. Upon cytokine stimulation, UCMSCs expressed higher levels of inflammation-related genes and more effectively directed macrophage polarization towards the M2 phenotype than PLMSCs, both in vitro and in vivo. Furthermore, UCMSCs showed a preference for expressing CC motif ligation 2 (CCL2) and C-X-C motif chemokine ligand 1 (CXCL1) compared to PLMSCs. The expression of secreted phosphoprotein 1 (SPP1), triggering receptor expressed on myeloid cells 2 (Trem2), and CCAAT enhancer binding protein beta (Cebpb) in macrophages from mice with the disease treated with UCMSCs was significantly reduced compared to those treated with PLMSCs. Conclusions: Therefore, UCMSCs demonstrated superior anti-fibrotic abilities in treating lung damage, potentially through inducing a more robust M2 polarization of macrophages than PLMSCs.

Abstract Mixing the fundamental (ω) and the second harmonic (2ω) waves in the gas phase is a widely employed technique for emitting terahertz (THz) pulses. The THz generation driven by bi-chromatic fields can be described by the photocurrent model, where the THz generation is attributed to free electrons ionized by the ω field, and the 2ω field provides a perturbation to break the symmetry of the asymptotic momentum of free electrons. However, we find that the THz radiation is amplified by one order of magnitude when driven by bi-focal bi-chromatic fields, which cannot be explained only using the photocurrent model. Meanwhile, present measurements demonstrate that the THz radiation mainly originates from the plasma created by the 2ω pulses instead of the ω pulses. Energy transfer from the 2ω beam to the THz beam during the THz generation has been observed, validating the major contribution of the 2ω beam. Furthermore, the THz bandwidth has been observed to extensively exceed the bandwidth of the pump pulse, not be explained by the photocurrent model as well. These counterintuitive results present a significant challenge for understanding strong-field nonlinear optics and simultaneously expanding various applications.

Abstract Background Jumbo phages, phages with genomes > 200 kbp, contain some unique genes for successful reproduction in their bacterial hosts. Due to complex and massive genomes analogous to those of small-celled bacteria, how jumbo phages complete their life cycle remains largely undefined. Results In this study, we assembled 668 high-quality jumbo phage genomes from over 15 terabytes (TB) of intestinal metagenomic data from 955 samples of 5 animal species (cow, sheep, pig, horse, and deer). Within them, we obtained a complete genome of 716 kbp in length, which is the largest phage genome so far reported in the gut environments. Interestingly, 174 out of the 668 jumbo phages were found to encode all genes required for the synthesis of NAD+ by the salvage pathway or Preiss-Handler pathway, referred to as NAD-jumbo phage. Besides synthesis genes of NAD+, these NAD-jumbo phages also encode at least 15 types of NAD+-consuming enzyme genes involved in DNA replication, DNA repair, and counterdefense, suggesting that these phages not only have the capacity to synthesize NAD+ but also redirect NAD+ metabolism towards phage propagation need in hosts. Phylogenetic analysis and environmental survey indicated NAD-jumbo phages are widely present in the Earth’s ecosystems, including the human gut, lakes, salt ponds, mine tailings, and seawater. Conclusion In summary, this study expands our understanding of the diversity and survival strategies of phages, and an in-depth study of the NAD-jumbo phages is crucial for understanding their role in ecological regulation. Video Abstract

Abstract Aims/Introduction To investigate the related risk factors of retinopathy in young and middle-aged diabetic patients in order to improve the prognosis of patients. Materials and Methods Using clinical practice data from a cohort study at our two research centers, we developed a bivariate logistic regression model to investigate the frightening risk factors potentially for retinopathy in young and middle-aged patients with diabetes, including diabetes type, physical activity level, treatment-related characteristics and laboratory tests. Results A total of 453 patients with diabetes were investigated, 197 (43.5%) developed retinopathy. The risk of retinopathy was closely related to place of residence (OR: 0.275, 95% CI: 0.093–0.814), education level (OR: 0.522, 95% CI: 0.363–0.749), medical payment method (OR: 2.152, 95% CI: 1.308–3.539), BMI (OR: 1.187, 95% CI: 1.091–1.291), disease course (OR: 1.072, 95% CI: 1.028–1.118), hyperlipidemia (OR: 2.547, 95% CI: 1.260–5.150), physical activity level (OR: 0.312, 95% CI: 0.220–0.443), and dietary compliance (OR 0.871, 95% CI: 0.806–0.940). The area under the receiver operator characteristic curve was 0.915. Goodness of fit (Hosmer–Lemeshow) was 0.658. Conclusions The risk of young and middle-aged patients with increased as a result of certain patient characteristics and complications, especially lower dietary compliance and physical activity level.

Abstract. Background:. Lifetime cancer risk is an index that indicates the cumulative probability of cancer at some age during a person’s lifetime. Nevertheless, comparative evaluations regarding the probability of developing lung cancer and dying from the disease among diverse populations at the global, regional, and national levels are scarce. Methods:. Lung cancer data from 185 countries were obtained from GLOBOCAN 2022, and data on any other cause of death were acquired from the United Nations. The lifetime risks of lung cancer development and death were estimated using adjustment for multiple primary cancers (AMP) method. The lung cancer risks in countries or regions worldwide were compared by region and the Human Development Index (HDI). Results:. The global lifetime risk of developing and dying from lung cancer in 2022 was 3.49% and 2.69%, respectively. The lifetime probabilities of developing lung cancer in countries/areas with low, medium, high, and very high HDIs were 0.33%, 0.95%, 4.72%, and 5.29%, and dying from lung cancer in low, medium, high and very high HDI countries were 0.30%, 0.86%, 3.69% and 3.92%, respectively. After the age of 40 years, the remaining probability of lung cancer development and death decreased with age, leaving a residual risk of 2.00% and 1.71%, respectively, starting at 70 years. Conclusions:. The probability of developing lung cancer during one’s lifetime is equivalent to 1 in 28 and 1 in 37 people suffering and dying from lung cancer. The age-related risk of developing and dying of lung cancer varies among geographic locations with different HDIs.

To construct a risk prediction model for fall in patients with maintenance hemodialysis (MHD) and to verify the prediction effect of the model.

Background: We have developed a model aimed at identifying preoperative predictors of operative mortality in patients who undergo elective, open thoracoabdominal aortic aneurysm (TAAA) repair. We converted this model into an intuitive nomogram to aid preoperative counseling. Methods: We retrospectively analyzed data from 2884 elective, open TAAA repairs performed between 1986 and 2023 in a single practice. Using clinical and selected operative variables, we built 4 predictive models: multivariable logistic regression (MLR), random forest, support vector machine, and gradient boosting machine. Each model’s predictive effectiveness was evaluated with the C-statistic. Test C-statistics were computed using an 80:20 cross-validation scheme with 1000 iterations. Results: Operative death occurred in 200 patients (6.9%). Test set C-statistics showed that the MLR model (median, 0.68; interquartile range [IQR], 0.65-0.71) outperformed the machine learning models (0.61 [IQR, 0.59-0.64] for random forest; 0.61 [IQR, 0.58-0.64] for support vector machine; 0.65 [IQR, 0.62-0.67] for gradient boosting machine). The final MLR model was based on 7 characteristics: increasing age (odds ratio [OR], 1.04/y; P

Abstract Lenvatinib, a multi-kinase inhibitor, has been approved as first-line treatment for advanced hepatocellular carcinoma (HCC), but its efficacy is limited. We have shown previously that lenvatinib and epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI) combination therapy overcomes lenvatinib resistance in HCC with high level of EGFR expression (EGFRhigh). We present here the results of a single-arm, open-label, exploratory study of lenvatinib plus the EGFR-TKI gefitinib for patients with HCC resistance to lenvatinib (NCT04642547; n = 30). Only patients with EGFRhigh HCC and progressive disease after lenvatinib treatment were recruited in the study. The most frequent adverse events of all grades were fatigue (27 patients; 90%), followed by rash (25 patients; 83.3%), diarrhea (24 patients; 80%), and anorexia (12 patients; 40%). Among 30 patients, 9 (30%) achieved a confirmed partial response and 14 (46.7%) had stable disease according to mRECIST criteria. Based on RECIST1.1, 5 (16.7%) achieved a confirmed partial response and 18 (60%) had stable disease. The estimated median progression free survival (PFS) and overall survival (OS) time were 4.4 months (95% CI: 2.5 to 5.9) and13.7 months (95% CI: 9.0 to NA), respectively. The objective response rate (ORR) of the patients in the present study compares very favorable to that seen for the two approved second line treatments for HCC (cabozantinib ORR of 4%; regorafenib ORR of 11%). Given that this combination was well-tolerated, a further clinical study of this combination is warranted.

Abstract Water is crucial for achieving the UN Sustainable Development Goals, particularly SDG 6. As a major source of water use and pollution, industrial sector requires improved water management based on more systematic and refined analysis. Such analysis, however, is compromised by the accuracy, granularity, and coverage of industrial water data. Here we present an open dataset of China’s industrial water use, compiled from 1,480,265 plant-level reports. This high-resolution multi-scale dataset offers unparalleled details, supporting multi-scale analysis at the province, city, and county levels, and across 2-digit, 3-digit, and 4-digit industrial classifications. It provides comprehensive information on water use, recycling, pollution, and wastewater processing. Such data enables further macro- and micro-level analysis, including multi-regional input-output analysis, structural decomposition analysis, statistical analysis, machine learning, as well as many other advanced analytical methods. This dataset can equip researchers and policymakers with a valuable tool to advance sustainable water management, fostering alignment with global sustainability goals.

Abstract Human interventions, such as farmland management, have long been considered crucial for soil carbon sequestration, but little is known about the exact impact of these interventions on the net carbon flux, represented by net ecosystem productivity (NEP). Here, using multiple long-term, large-scale data and statistical data, we reveal that 75.54% of farmland NEP in China experiences an increase, with northern regions showing the greatest potential for future farmland carbon sequestration. This growth is primarily attributed to the role of farmland management, especially the enhancement of no-tillage, land consolidation and multiple cropping level (17.02%, major grain-producing areas in 2020). Notably, the current unreasonable practices of mechanized straw returning and irrigation have a negative impact on farmland NEP. Our results show that it is imperative to acknowledge the crucial role of human interventions on farmland NEP to strike a balance between food security and farmland carbon sequestration.

Abstract Previous research has established that the formation of Gardnerella vaginalis (GV) biofilm is one of the primary reasons for bacterial vaginosis (BV) recurrence. This study was the first to explore the impact of Streptococcus agalactiae (group B Streptococcus, GBS) on GV biofilm in a co-culture scenario. The results revealed that GBS could significantly increased the GV biomass in 48-hours dual-species biofilms. The luxS gene of GBS was significantly higher in dual-species biofilm, while knockdown of the luxS gene resulted in a significant decrease in mono- and dual-species biofilms. Meanwhile, in vitro addition of AI-2 (product of luxS gene) substantially increased biofilm biomass. Furthermore, we found that the expression of two genes related to biofilm formation was notably elevated in GV after receiving AI-2 signals. Collectively, these findings suggest that GBS enhances GV biofilm formation via luxS/AI-2 in an in vitro co-culture model, which in turn may promotes recurrence of BV.

Abstract Background Dietary cholesterol promotes metabolic dysfunction-associated steatohepatitis (MASH), with hepatic macrophages central to disease pathology. However, the mechanisms by which cholesterol-loaded macrophages influence MASH remain unclear. Methods In this study, mice were fed a cholesterol-rich choline-deficient, L-amino acid-defined, high-fat diet (CDAHFD). Hepatic cholesterol levels, inflammatory markers, and pro-inflammatory macrophage polarization were assessed. In vitro studies examined the impact of cholesterol on macrophage polarization, identifying 7-dehydrocholesterol reductase (DHCR7) as a key cholesterol- and inflammation-responsive enzyme. DHCR7 expression in macrophages from MASH patients and model mice was evaluated. Functional studies involving in vitro knockdown and overexpression experiments, were complemented using myeloid-specific DHCR7 knockout mice. RNA sequencing was performed on liver tissues from wild-type and DHCR7 knockout mice to identify affected signaling pathways. Results CDAHFD-fed mice exhibited local cholesterol accumulation and a pro-inflammatory macrophage phenotype in the liver. Cholesterol overload in vitro promoted M1 polarization and liver inflammation, reversible by simvastatin. DHCR7 expression, responded to cholesterol and polarization state, was downregulated in M1-polarized and hepatic macrophages from MASH patients and mice. DHCR7 suppression promoted pro-inflammatory phenotype, while its overexpression showed anti-inflammatory effects. Myeloid-specific DHCR7 deficiency in CDAHFD-fed mice worsened liver inflammation and pro-inflammatory macrophage infiltration. RNA sequencing identified the phosphoinositide 3-kinase (PI3K) pathway in DHCR7-regulated effects, with DHCR7-PI3K axis activation mitigating cholesterol-driven inflammation. Conclusions These findings unveil novel mechanistic insights into MASH pathogenesis, suggesting targeting macrophage-specific DHCR7 activation may offer a promising therapeutic strategy for MASH.

Abstract In today’s increasingly specialized and fragmented sectoral chain, as well as increasingly close economic connections between regions, regional economic fluctuations caused by natural or human factors can be transmitted through the interregional economic network to external regions, causing losses. The assessment of external losses is the foundation for fully understanding the impact of emergencies and taking effective response measures. On the basis of the MRIO model, this paper constructs a model of the impact of the COVID-19 lockdown in Shanghai on the national economy and investigates the impact of artificial controls on the economies of various regions and sectors in China after the outbreak of the COVID-19 pandemic. The results indicate that the external losses caused by regional emergencies are much greater than the local losses. Second, the sectors with the greatest GDP losses caused by Shanghai’s lockdown are wholesale and retail, whereas the sectors with the greatest decline are metal product manufacturing, machinery and equipment maintenance services. Finally, the impact of Shanghai’s lockdown on other regions is not significantly related to their economic size or geographical location.

As the people's health and wellness needs continue to grow, traditional dietary nutrition, medicinal diets and other "treatment of disease" concept is increasingly popular, with "food and medicine substances", new food raw materials such as raw materials, new food, internet celebrity food endless, promoting the market to promote the promotion of food to strengthen the body and even prevent the treatment of disease "functionalization" trend is becoming increasingly significant. Even the prevention and treatment of disease "functionalization" trend is becoming more and more significant. Due to the fact that the regulatory positioning of food function claims is yet to be clarified, coupled with the people's limited knowledge of health food that can claim health care functions, and other factors, there has been an increase in the number of illegal behaviors such as false propaganda and illegal additives to food on the market, and these illegal behaviors mainly occur through network sales, conference marketing and so on, which seriously affects the safety of the consumers and their legitimate rights and interests. In order to standardize the management of food claims in China, it is recommended that, on the basis of strengthening risk assessment and strict supervision and law enforcement, focusing on improving the relevant regulations and standards, strengthening the popularization and publicity of food safety, and forming a synergy in the governance of food safety.

The traditional smoking process is a common method of processing aquatic products, but the issue of residual polycyclic aromatic hydrocarbons (PAHs) is difficult to solve. Smoke flavorings, also known as liquid smoke, are prepared by separating and purifying the products of biomass pyrolysis reactions. The liquid smoking process using smoke flavorings not only gives the same smoked flavor and color to aquatic products, but also effectively reduces the residue of PAHs in smoked products. Besides, it has the advantages of a short process cycle and environmental friendliness, which is an ideal alternative to the traditional smoking process. This paper reviews the preparation process of smoke flavorings and analyzes their main chemical components and functional activities. Carbonyl compounds, organic acids and phenolic compounds constitute the main components of smoke flavorings, which give them functional activities such as flavor, color, antibacterial and antioxidant. The current status of the application of smoke flavorings in aquatic products processing is summarized, and their effects on the organoleptic properties and storage quality of aquatic products are introduced. The safety and use management of smoke flavorings are also discussed, with a view to providing references for the application of smoke flavorings in aquatic products processing.

Abstract Background The incidence of androgenetic alopecia in males is on the rise annually, with hair transplantation using follicular unit extraction (FUE) gaining increasing acceptance as an appropriate treatment for these individuals. Methods A retrospective study was undertaken, involving 158 male patients diagnosed with androgenetic alopecia, who underwent treatment between January 2016 and December 2020 at the Medical Cosmetology Department of the First Affiliated Hospital of Xi’an Medical University. Demographic data and treatment characteristics were documented and analyzed. Clinical efficacy, operation-related complications, patient satisfaction rates, and quality of life scores were assessed and analyzed. Results Following FUE hair transplantation, over 90% of the hair follicles survived in 158 patients, with more than 85% of patients achieving a hair follicle survival rate exceeding 95% at 12 months post-operation. Patient satisfaction rates exceeded 98%, while the complication rate was below 6%. Conclusion Our findings demonstrate that FUE is a minimally invasive hair transplant technique associated with a high hair follicle survival rate and optimal hair density. This approach proves effective in treating male androgenetic alopecia and merits further clinical application.

Abstract Glioblastoma (GBM) is an aggressive brain tumor with a poor prognosis, largely due to the presence of glioblastoma stem cells (GSCs). These cells drive tumor progression, recurrence, and chemoresistance, making them critical targets for therapy. This study aims to identify novel GSC markers for improved diagnosis and targeted treatment. We utilized single-cell RNA sequencing (scRNA-seq) and bulk RNA-seq data to identify PDLIM1 as a novel GSC marker. PDLIM1 was specifically expressed in GSCs and was associated with poor prognosis and advanced tumor stages. Functional assays demonstrated that PDLIM1 overexpression enhanced GBM cell proliferation, reduced apoptosis, increased GSC proportions, and promoted chemoresistance and tumorigenesis. Conversely, PDLIM1 knockdown inhibited these processes. Mechanistically, PDLIM1 was found to exert its effects likely by promoting the PI3K-AKT pathway. In conclusion, PDLIM1 may serve as a potential marker of GSCs associated with poor prognosis, tumorigenesis, and chemoresistance in GBM, representing a potential therapeutic target for improving GBM patient outcomes.

Abstract Purpose This study analyzed antibiotic resistance mechanisms and molecular epidemiology of multidrug-resistant Pseudomonas aeruginosa (MDR-PA), aiming at providing clues for prevention and control of MDR-PA infections. Methods The carbapenemase resistance genes (VIM, IMP, NDM, KPC, GES, OXA-40) of MDR-PA strains were detected by polymerase chain reaction (PCR) and sequencing. The efflux pump system (MexA, MexC, MexE, MexX), AmpC and OprD2 were detected by real-time fluorescent quantitative PCR (qPCR) in MDR-PA group and sensitive-Pseudomonas aeruginosa (S-PA) group. The homology analysis of MDR-PA strains was performed by multilocus sequence typing (MLST). Results A total of 81 MDR-PA strains were collected from the First Affiliated Hospital of Guangxi Medical University from October 2022 to October 2023. Among the carbapenemase detected, the detection rate of NDM-1 was the highest, with a rate of 34.57% (28/81). MexA had a higher expression in MDR-PA group than that in S-PA group (P

Abstract Objective To investigate the specificity of Target of Myb1-Like1 (Tom1L1) expression in colorectal adenocarcinoma tissues and analyze the predictive value of Tom1L1 in the efficacy of neoadjuvant chemotherapy for patients with rectal adenocarcinoma. Methods The cancerous tissues and paracancerous normal tissues of 102 patients diagnosed with colorectal adenocarcinoma without treatment were selected; quantitative polymerase chain reaction (qPCR), Western blot and immunohistochemistry (IHC) were adopted to validate the expression level of Tom1L1 in the two groups. Furthermore, 34 patients with locally progressive mid-low rectal adenocarcinoma, who were treated with neoadjuvant Xelox chemotherapy prior to the operation, IHC was adopted to detect the expression of Tom1L1 protein in patients before and after neoadjuvant chemotherapy and to analyze the relationship between the expression level of Tom1L1 and the sensitivity of neoadjuvant therapy. Results The results of qPCR, Western blot and IHC showed that the expression of Tom1L1 in colorectal adenocarcinoma tissues was significantly higher than that in paracancerous normal tissues, with a statistically significant difference (P

Abstract Background Fetal growth restriction (FGR) is typically characterised as the fetus’ inability to reach its inherent growth potential. A growing body of evidence points to the important role of the maternal gut microbiota in FGR development. However, comprehensive research on changes in maternal–fetal gut and intrauterine microbiota related to FGR is lacking. Methods In this case–control study, we sequenced bacterial 16S rRNA from 35 maternal faecal, 35 meconium, and 31 amniotic fluid samples collected from 19 pregnant women diagnosed with FGR and 16 healthy controls. We identified putative bacterial taxonomic and functional characteristics associated with FGR by comparing these to control samples. Results We identified 34 differential operational taxonomic units (OTUs) in amniotic fluid, seven differential OTUs in maternal faecal matter, and two differential OTUs in meconium. Compared to controls, FGR subjects exhibited enriched bacterial OTUs of the genus Bacteroides in the maternal gut. They also had depleted OTUs of the order Enterobacterales and genus Pseudomonas in the amniotic fluid and genus Stenotrophomonas in the fetal gut. These altered bacterial OTUs showed a significant correlation with neonatal weight and fetal ultrasonographic indexes. Additionally, we identified differential microbial functional pathways related to glycan and lipid metabolism in the maternal gut. We developed diagnostic biomarkers for FGR based on the maternal–fetal gut and amniotic fluid microbiota. Conclusions This study offers a comprehensive overview of the shifts in microbial composition and functional pathways in the maternal–fetal gut and amniotic fluid microbiota related to FGR, and present novel insights into the development and screening of FGR. However, the assessment of contamination’s impact on meconium and amniotic fluid remains inconclusive, necessitating further rigorous experimentation to address this scientific inquiry in future studies.

Abstract Background The solid pattern is a highly malignant subtype of lung adenocarcinoma. In the current era of transitioning from lobectomy to sublobar resection for the surgical treatment of small lung cancers, preoperative identification of this subtype is highly important for patient surgical approach selection and long‐term prognosis. Methods A total of 1489 patients with clinical stage IA1‐2 primary lung adenocarcinoma were enrolled. Based on patient clinical characteristics and lung imaging features obtained via deep learning, highly correlated diagnostic factors were identified through LASSO regression and decision tree analysis. Subsequently, a logistic model and nomogram were constructed. A restricted cubic spline (RCS) was used to calculate the optimal inflection point of quantitative data and the differences between the groups. Results The three‐dimensional proportion of solid component (PSC), sex, and smoking status was identified as being highly correlated diagnostic factors for solid predominant adenocarcinoma. The logistic model had good prediction efficiency, and the area under the ROC curve was 0.85. Decision curve analysis demonstrated that the application of diagnostic factors can improve patient outcomes. RCS analysis indicated that the proportion of solid adenocarcinomas increased by 4.6 times when the PSC was ≥72%. A PSC of 72% is a good cutoff point. Conclusion The preoperative diagnosis of solid‐pattern adenocarcinoma can be confirmed by typical imaging features and clinical characteristics, assisting the thoracic surgeon in developing a more precise surgical plan.

To explore the effect of corn and buckwheat complex on the regulation of lipid metabolism in hyperlipidemic rats, 60 rats were randomly divided into blank control group, hyperlipidemic model group, positive group, corn group, buckwheat group, and corn-buckwheat complex powder group. The intervention was carried out for 4 weeks. The rats and their organs were weighed. Lipid levels, liver injury levels and antioxidant levels were measured, and histologic examination of liver pathology was performed. The results showed that compared to model group, corn-buckwheat complex powder was able to lower the levels of TC (1.8 mmol/L), TG (1.38 mmol/L), LDL-C (0.62 mmol/L), and regress the levels of HDL-C (1.27 mmol/L) significantly (P

Abstract Aberrant repair underlies the pathogenesis of pulmonary fibrosis while effective strategies to convert fibrosis to normal regeneration are scarce. Here, we found that thyroid hormone is decreased in multiple models of lung injury but is essential for lung regeneration. Moreover, thyroid hormone receptor α (TRα) promotes cell proliferation, while TRβ fuels cell maturation in lung regeneration. Using a specific TRβ agonist, sobetirome, we demonstrate that the anti-fibrotic effects of thyroid hormone mainly rely on TRβ in mice. Cellularly, TRβ activation enhances alveolar type-2 (AT2) cell differentiation into AT1 cell and constrains AT2 cell hyperplasia. Molecularly, TRβ activation directly regulates the expression of KLF2 and CEBPA, both of which further synergistically drive the differentiation program of AT1 cells and benefit regeneration and anti-fibrosis. Our findings elucidate the modulation function of the TRβ-KLF2/CEBPA axis on AT2 cell fate and provide a potential treatment strategy to facilitate lung regeneration and anti-fibrosis.

Abstract Ferroptosis, distinct from apoptosis, necrosis, and autophagy, is a unique type of cell death driven by iron-dependent phospholipid peroxidation. Since ferroptosis was defined in 2012, it has received widespread attention from researchers worldwide. From a biochemical perspective, the regulation of ferroptosis is strongly associated with cellular metabolism, primarily including iron metabolism, lipid metabolism, and redox metabolism. The distinctive regulatory mechanism of ferroptosis holds great potential for overcoming drug resistance—a major challenge in treating cancer. The considerable role of nanobiotechnology in disease treatment has been widely reported, but further and more systematic discussion on how nanobiotechnology enhances the therapeutic efficacy on ferroptosis-associated diseases still needs to be improved. Moreover, while the exciting therapeutic potential of ferroptosis in cancer has been relatively well summarized, its applications in other diseases, such as neurodegenerative diseases, cardiovascular and cerebrovascular diseases, and kidney disease, remain underreported. Consequently, it is necessary to fill these gaps to further complete the applications of nanobiotechnology in ferroptosis. In this review, we provide an extensive introduction to the background of ferroptosis and elaborate its regulatory network. Subsequently, we discuss the various advantages of combining nanobiotechnology with ferroptosis to enhance therapeutic efficacy and reduce the side effects of ferroptosis-associated diseases. Finally, we analyze and discuss the feasibility of nanobiotechnology and ferroptosis in improving clinical treatment outcomes based on clinical needs, as well as the current limitations and future directions of nanobiotechnology in the applications of ferroptosis, which will not only provide significant guidance for the clinical applications of ferroptosis and nanobiotechnology but also accelerate their clinical translations. Graphical Abstract

Abstract The governance policies have a prominent impact on the development and regional planning of the Yangtze River Basin, a key region for China to achieve modernization. Taking the public policy documents issued by China’s central government for the Yangtze River Basin from 1980 to 2022 as the research object, this paper introduces the NLP (Natural Language Processing) technology and semantic analysis methods to carry out quantitative research on policies. This study first examines the textual connotations of the policies and the characteristics of the policy changes based on the LDA (Latent Dirichlet Allocation) model to determine how policy changes occur for the governance of the Yangtze River Basin. Using the punctuated equilibrium theory, it then conducts two case studies in which the implications of specific major events are analyzed in depth. Research has shown that the changes in governance policies for the Yangtze River Basin are characterized by gradual changes and intermittent mutation, roughly divided into three stages: the stage of reform and development, the stage of transition, and the stage of prioritizing ecological conservation and green development. Moreover, such changes jointly result from three factors: the major events, the focus of public opinions, and the care of the central government.

Abstract Background Porcine reproductive and respiratory syndrome virus (PRRSV) has significant productivity and economic impacts in swine herds. Accurately determining the PRRSV status at the herd level is crucial for producers and veterinarians to implement strategies to control and eliminate the virus from infected herds. This study collected oropharyngeal swabs (OSs), nasal swabs (NSs), oral fluid swabs (OFs), rectal swabs (RSs), and serum samples continuously from PRRSV challenged pigs under experimental conditions and growing pigs under field conditions. Additionally, OSs and serum samples were collected from individual sows from 50 large-scale breeding farms, and the collection of OSs does not require the sows to be restrained. Ct values of PRRSV were detected in all samples using real-time reverse transcriptase-polymerase chain reaction (RT-qPCR). Results In PRRSV challenged pigs, OSs showed a higher PRRSV-positive rate until the end of the observation period. The Ct values of OSs were significantly lower than those of NSs, OFs, and RSs at 2, 8, 12, 14 and 20 days post-challenge (DPC) (P

As one of the field-dependent smart materials whose stiffness and damping properties can change instantaneously and reversibly, magnetorheological elastomer (MRE) has been extensively utilized on base isolation for vibration reduction. However, most previous studies have focused on the shear dynamic performance of MRE isolators, and there are few reports on the vertical extrusion performance of basic isolators within construction equipment. In this paper, MRE materials with strong bearing capacity and suitable vertical stiffness were fabricated by comprehensively considering the selection of raw materials, particle ratio, and sample size. The tension-compression viscoelasticity of the prepared MRE under varying magnetic fields and strain amplitudes was experimentally evaluated using an MRE axial MR testing system. Eventually, a single-degree-of-freedom dynamic test rig for vibration isolation of equipment in buildings, which integrates a vertical isolator with MRE as the core component, was constructed to perform a series of experimental investigations on the alterable frequency vibration capability of the designed MRE vertical isolator. The test results reveal that the controllable stiffness-damping properties of the prepared MRE in the axial tension-compression mode can enable the developed vertical isolator to exhibit superior frequency shifting and vibration attenuating characteristics in structural vibration.

Abstract Rubus idaeus is a pivotal cultivated species of raspberry known for its attractive color, distinct flavor, and numerous health benefits. It can be used in pharmaceutical, cosmetics, agriculture and food industries not only as fresh but also as a processed product. Nowadays due to climatic changes, genetic diversity of cultivars has decreased dramatically. However, until now, the status of wild R. idaeus resources in China have not been exploited. In this study, we investigated the resources of wild R. idaeus in China to secure its future potential and sustainability. The MaxEnt model was used to predict R. idaeus suitable habitats and spatial distribution patterns for current and future climate scenarios, based on wild domestic geographic distribution data, current and future climate variables, and topographic variables. The results showed that, mean temperature of the coldest quarter (bio11), precipitation of the coldest quarter (bio19), precipitation of the warmest quarter (bio18), and temperature seasonality (bio4) were crucial factors affecting the distribution of R. idaeus. Presently, the suitable habitats were mainly distributed in the north of China including Xinjiang, Inner Mongolia, Gansu, Ningxia, Shaanxi, Shanxi, Hebei, Beijing, Liaoning, Jilin, Heilongjiang. According to our results, in 2050s, the total suitable habitat area of R. idaeus will increase under SSP1-2.6 and then will be decreased with climate change, while in the 2090s, the total suitable habitat area will continue to decrease. From the present to the 2090s, the centroid distribution of R. idaeus in China will shift towards the east and the species will always be present in Inner Mongolia. Our results provide wild resource information and theoretical reference for the protection and rational utilization of R. idaeus.

Abstract Taste, a pivotal sense modality, plays a fundamental role in discerning flavors and evaluating the potential harm of food, thereby contributing to human survival, physical and mental health. Patients with tongue cancer may experience a loss of taste following extensive surgical resection with flap reconstruction. Here, we designed a gustatory interface that enables the non-invasive detection of tongue electrical activities for a comprehensive operative assessment. Moreover, it decodes gustatory information from the reconstructed tongue without taste buds. Our gustatory interface facilitates the recording and analysis of electrical activities on the tongue, yielding an electrical mapping across the entire tongue surface, which delineates the safe margin for surgical management and assesses flap viability for postoperative structure monitoring and prompt intervention. Furthermore, the gustatory interface helps patients discern tastes with an accuracy of 97.8%. Our invention offers a promising approach to clinical assessment and management and holds potential for improving the quality of life for individuals with tongue cancer.

Highlights NaTFSI/SUL:OTE:FEC facilitates the formation of S, N-rich, dense and robust cathode–electrolyte interphase on NaNMF cathode, which improves the cycling stability under high voltage. By utilizing NaTFSI/SUL:OTE:FEC, the Na||NaNMF batteries achieved an impressive retention of 81.15% after 400 cycles at 2 C with the cutoff voltage of 4.2 V. The study offers a reference for the utilization of sulfolane-based electrolytes in sodium-ion batteries (SIBs), while the nonflammability of the NaTFSI/SUL:OTE:FEC enhances the safety of SIBs.

Abstract Most current RM approaches are developed for fixed bottlenecks. However, the number and locations of bottlenecks are usually uncertain and even time‐varying due to some unexpected phenomena, such as severe accidents and temporal lane closures. Thus, the RM approach should be able to enhance traffic flow stability by effectively handling the time‐delay effect and fluctuations in traffic flow rate caused by uncertain bottlenecks. This study proposed a novel approach called deep reinforcement learning with curriculum learning (DRLCL) to improve ramp metering efficacy under uncertain bottleneck conditions. The curriculum learning method transfers an optimal control policy from a simple on‐ramp bottleneck case to more challenging bottleneck tasks, while DRLCL agents explore and learn from the tasks gradually. Four RM control tasks were developed in the modified cell transmission model, including typical on‐ramp bottleneck, fixed downstream bottleneck, random‐location bottleneck, and multiple bottlenecks. With curriculum learning, the entire training process was reduced by 45.1% to 64.5%, while maintaining a similar maximum reward level compared to DRL‐based RM control with full learning from scratch. Specifically, the results also demonstrated that the proposed DRLCL‐based RM outperformed the feedback‐based RM due to its stronger predictive ability, faster response, and higher action precision.

Abstract Background Lychee seeds were fermented by three kinds of bacteria (Lactobacillus plantarum, Saccharomyces cerevillus and ganoderma lucidum mycelium), and two effective strains were selected by two indexes of activity content and antioxidant, so as to further verify whether lychee seeds have waste multiplication effect and can protect cells damaged by oxidation from anti-inflammatory, anti-aging and safety. Results The contents of polyphenols, flavonoids and proteins in the solution fermented by Ganoderma lucidum mycelium did not increase, thus affecting the antioxidant capacity of the solution was far less than that of the water extract. The active content of the other two fermentation solutions was higher than that of the water extract, and the ability of scavenging free radicals of the two solutions increased with the increase of the volume fraction. At the cellular level, the two fermentation solutions showed repair effects on UVA-induced damaged cells. The contents of type I collagen (COL-1), total antioxidant capacity and ELN were increased, the contents of reactive oxygen species and MDA were decreased, and the expressions of inflammatory factors IL-6, TNF-a, iNOS and COX-2 were decreased in HaCaT cells. From the gene level, the mRNA contents of IL-6, TNF-a, Caspase-3, Caspase-9, Bax and Bcl were significantly decreased. The test of chick embryo chorioallantoic membrane (HTET CAM) showed that there was no bleeding and litchi seed fermentation liquid was not irritating. Conclusions Therefore, two kinds of litchi seed fermentation can be used as natural plant raw materials for cosmetics, and have strong antioxidant, anti-inflammatory and anti-aging functions on skin, and also have good human safety. Graphical Abstract

Abstract Citrus red mites (P. citri) are key pests affecting citrus production worldwide due to pesticide resistance. The resistance mechanisms of ten pesticides are known, but a comprehensive study using transcriptome data is missing. This study employed deeptools, cuffdiff, rmats, bcftools and other software to examine gene expression variation, alternative splicing (AS), and mutations in mite resistance. The research highlighted that pesticides can regulate gene transcription, and red mites with resistance increase cytochrome P450, glutathione S-transferases, carboxylesterase, and acetylcholinesterase expression. Pyridaben also induces new AS events. Fluazinam-induced mites show mRNA splicing peaking earlier than transcription, both peaking at one day and returning to baseline after two days. AS profiles are similar in different mite populations with overlapping pesticide resistances. Lastly, specific mitochondrial SNPs in mites might mediate resistance against select pesticides.

Abstract Background Obesity in humans can lead to chronic diseases such as diabetes and cardiovascular disease. Similarly, subcutaneous fat (SCF) in pigs affects feed utilization, and excessive SCF can reduce the feed efficiency of pigs. Therefore, identifying factors that suppress fat deposition is particularly important. Numerous studies have implicated the gut microbiome in pigs’ fat deposition, but research into its suppression remains scarce. The Lulai black pig (LL) is a hybrid breed derived from the Laiwu pig (LW) and the Yorkshire pig, with lower levels of SCF compared to the LW. In this study, we focused on these breeds to identify microbiota that regulate fat deposition. The key questions were: Which microbial populations reduce fat in LL pigs compared to LW pigs, and what is the underlying regulatory mechanism? Results In this study, we identified four different microbial strains, Eubacterium siraeum, Treponema bryantii, Clostridium sp. CAG:413, and Jeotgalibaca dankookensis, prevalent in both LW and LL pigs. Blood metabolome analysis revealed 49 differential metabolites, including tanshinone IIA and royal jelly acid, known for their anti-adipogenic properties. E. siraeum was strongly correlated with these metabolites, and its genes and metabolites were enriched in pathways linked to fatty acid degradation, glycerophospholipid, and glycerolipid metabolism. In vivo mouse experiments confirmed that E. siraeum metabolites curb weight gain, reduce SCF adipocyte size, increase the number of brown adipocytes, and regulate leptin, IL-6, and insulin secretion. Finally, we found that one important pathway through which E. siraeum inhibits fat deposition is by suppressing the phosphorylation of key proteins in the PI3K/AKT signaling pathway through the reduction of tyrosine. Conclusions We compared LW and LL pigs using fecal metagenomics, metabolomics, and blood metabolomics, identifying E. siraeum as a strain linked to fat deposition. Oral administration experiments in mice demonstrated that E. siraeum effectively inhibits fat accumulation, primarily through the suppression of the PI3K/AKT signaling pathway, a critical regulator of lipid metabolism. These findings provide a valuable theoretical basis for improving pork quality and offer insights relevant to the study of human obesity and related chronic metabolic diseases. Video Abstract

Objective: To develop a deep learning model to predict lymph node (LN) status in clinical stage IA lung adenocarcinoma patients. Methods: This diagnostic study included 1,009 patients with pathologically confirmed clinical stage T1N0M0 lung adenocarcinoma from two independent datasets (699 from Cancer Hospital of Chinese Academy of Medical Sciences and 310 from PLA General Hospital) between January 2005 and December 2019. The Cancer Hospital dataset was randomly split into a training cohort (559 patients) and a validation cohort (140 patients) to train and tune a deep learning model based on a deep residual network (ResNet). The PLA Hospital dataset was used as a testing cohort to evaluate the generalization ability of the model. Thoracic radiologists manually segmented tumors and interpreted high-resolution computed tomography (HRCT) features for the model. The predictive performance was assessed by area under the curves (AUCs), accuracy, precision, recall, and F1 score. Subgroup analysis was performed to evaluate the potential bias of the study population. Results: A total of 1,009 patients were included in this study; 409 (40.5%) were male and 600 (59.5%) were female. The median age was 57.0 years (inter-quartile range, IQR: 50.0–64.0). The deep learning model achieved AUCs of 0.906 (95% CI: 0.873–0.938) and 0.893 (95% CI: 0.857–0.930) for predicting pN0 disease in the testing cohort and a non-pure ground glass nodule (non-pGGN) testing cohort, respectively. No significant difference was detected between the testing cohort and the non-pGGN testing cohort (P = 0.622). The precisions of this model for predicting pN0 disease were 0.979 (95% CI: 0.963–0.995) and 0.983 (95% CI: 0.967–0.998) in the testing cohort and the non-pGGN testing cohort, respectively. The deep learning model achieved AUCs of 0.848 (95% CI: 0.798–0.898) and 0.831 (95% CI: 0.776–0.887) for predicting pN2 disease in the testing cohort and the non-pGGN testing cohort, respectively. No significant difference was detected between the testing cohort and the non-pGGN testing cohort (P = 0.657). The recalls of this model for predicting pN2 disease were 0.903 (95% CI: 0.870–0.936) and 0.931 (95% CI: 0.901–0.961) in the testing cohort and the non-pGGN testing cohort, respectively. Conclusions: The superior performance of the deep learning model will help to target the extension of lymph node dissection and reduce the ineffective lymph node dissection in early-stage lung adenocarcinoma patients.

Abstract Effective extraction of building from remote sensing images requires both global and local information. Despite convolutional neural networks (CNNs) excelling at capturing local details, their intrinsic focus on local operations poses challenge in effectively extracting global features, especially in the context of large‐scale buildings. In contrast, transformers excel at capturing global information, but compared to CNNs, they tend to overly rely on large‐scale datasets and pre‐trained parameters. To tackle the challenge, this paper presents the multi‐scale and dual‐branch feature fusion network (MDTrans). Specifically, the CNN and transformer branches are integrated in a dual‐branch parallel manner during both encoding and decoding stages, local information for small‐scale buildings is extracted by utilizing Dense Connection Blocks in the CNN branch, while crucial global information for large‐scale buildings is effectively captured through Swin Transformer Block in the transformer branch. Additionally, Dual Branch Information Fusion Block is designed to fuse local and global features from the two branches. Furthermore, Multi‐Convolutional Block is designed to further enhance the feature extraction capability of buildings with different sizes. Through extensive experiments on the WHU, Massachusetts, and Inria building datasets, MDTrans achieves intersection over union (IoU) scores of 91.36%, 64.69%, and 79.25%, respectively, outperforming other state‐of‐the‐art models.

Abstract Background Obesity and metabolic syndrome (MetS) have become urgent worldwide health problems, predisposing patients to unfavorable myocardial status and thyroid dysfunction. Low-carbohydrate diet (LCD) and time-restricted eating (TRE) have been confirmed to be effective methods for weight management and improving MetS, but their effects on the myocardium and thyroid are unclear. Methods We conducted a secondary analysis in a randomized clinical diet-induced weight-loss trial. Participants (N = 169) diagnosed with MetS were randomized to the LCD group, the 8 h TRE group, or the combination of the LCD and TRE group for 3 months. Myocardial enzymes and thyroid function were tested before and after the intervention. Pearson’s or Spearman’s correlation was assessed between functions of the myocardium and thyroid and cardiometabolic parameters at baseline. Results A total of 162 participants who began the trial were included in the intention-to-treat (ITT) analysis, and 57 participants who adhered to their assigned protocol were involved in the per-protocol (PP) analysis. Relative to baseline, lactate dehydrogenase, creatine kinase MB, hydroxybutyrate dehydrogenase, and free triiodothyronine (FT3) declined, and free thyroxine (FT4) increased after all 3 interventions (both analyses). Creatine kinase (CK) decreased only in the TRE (− 18 [44] U/L, P

Abstract PHD2 is essential in modulating HIF-1α levels upon oxygen fluctuations. Hypoxia, a hallmark of uterus, and HIF-1α have recently emerged as opposing regulators of mesendoderm specification, suggesting a role for PHD2 therein. We found that PHD2 expression initially covered the epiblast and gradually receded from the primitive streak, which was identical to hypoxia and exclusive to HIF-1α. The investigations performed in mESCs, embryoids, and mouse embryos together demonstrated that PHD2 negatively regulated mesendoderm specification. Single-cell RNA sequencing revealed that PHD2 governed the transition from epiblast to mesendoderm. The downstream effect of PHD2 relied on the HIF-1α regulated Wnt/β-catenin pathway, while it was regulated upstream by miR-429. In summary, our research highlights PHD2’s essential role in mesendoderm specification and its interactions with hypoxia and HIF-1α.

In present work, non-isothermal crystallization behavior for novel Cr50Fe6Co7Mo14C15B6Y2 metallic glass (MG) with super high content of Cr and excellent merits was investigated by differential scanning calorimeter and X-ray diffraction. Both of the Kissinger and Ozawa methods show that the present glass transition is much harder than other transitions for a much larger apparent activation energy (E). While, the growth process of present second crystallization event is the easiest process, since it possesses the smallest E. Meanwhile, the local activation energy established by Kissinger-Akahira-Sunose and Ozawa-Flynn-Wall methods both exhibit a trend of increasing to the maximum value at first and then gradual decrease until the finish of the crystallization, indicating that the difficulty increases until to the maximum at first and then gradually decreases during crystallization. Moreover, all the local Avrami exponent n(x) possesses a value of about 0 < n(x)

Abstract In their letter-to-the-editor entitled “Letter to the Editor: Incidence rate of occult lymph node metastasis in clinical T1 − 2N0M0 small cell lung cancer patients and radiomic prediction based on contrast-enhanced CT imaging: a multicenter study”, Prof. Chen et al. provided insightful comments and suggestions on our original study. We appreciate the authors’ feedback and have conducted a preliminary exploration of the predictive value of serum tumor markers (TMs) for occult lymph node metastasis (OLM) in clinical T1 − 2N0M0 (cT1 − 2N0M0) small cell lung cancer (SCLC) patients. The results indicate that neuron-specific enolase (NSE), carbohydrate antigen 125 (CA125), and squamous cell carcinoma antigen (SCC) have potential predictive value for detecting OLM in cT1 − 2N0M0 SCLC patients. Additionally, further exploration and confirmation through prospective, large-scale studies with robust external validation are needed.