Objective:Exploring the association rules of factors influencing high hospitalization costs for cancer patients, providing references for hospitals to optimize medical cost management measures.Methods:In the inpatient case information system of a tertiary general hospital, the medical record homepages of inpatients in the DRG groups of the oncology department in 2022 were obtained. The upper four scores of hospitalization costs was used as the threshold for patient grouping. Patients with hospitalization costs≥this threshold were the high-cost group, while other patients were control group; 12 factors, including age, gender, and admission condition, etc, were considered as potential influencing factors of high hospitalization costs. FP-Growth and Apriori algorithms were used to excavate the potential association rules between the influencing factors of high hospitalization costs. Logistic regression was used to analyze the independent influencing factors of high hospitalization costs.Results:A total of 5 512 hospitalized patients were included, including 1 378 patients in the high-cost group. Thirteen validated strong association rules for factors influencing high hospitalization costs were obtained, of which the rule antecedents included age (≥70 years), number of days in hospital (≥7 days), other diagnoses (≥5), surgery, planned readmission, use of antibiotics, admission (general/critical), living admission score (61~99), level of care (level 1/level 2), non-day ward, criticality during hospitalisation. Logistic regression results showed that all nine influencing factors except gender, use of antibiotics, and readmission plans were independent influences on high hospitalization costs ( P<0.05). Conclusions:The joint application of FP-Growth and Apriori algorithm could effectively explore the association rules of high hospitalization costs for oncology patients. The early warning information mainly included the number of hospitalization days, the number of other diagnoses, surgeries, and so on. It was suggested that medical institutions can reasonably control the high hospitalization costs through clinical pathway management, diagnosis and treatment process reengineering, admission risk assessment, and multidisciplinary collaborative diagnosis and treatment strategies.

Postoperative infection of internal fixation of closed fractures the lower limbs in adults represents a devastating complication, characterized by diagnostic challenges, prolonged treatment duration and high disability rates. Current management of these infections faces multiple challenges, such as difficulties in early accurate diagnosis, and various controversies about the treatment plan, leading to poor overall diagnosis and treatment results. To address these issues, based on evidence-based medicine and principles with emphasis on scientific rigor, clinical applicability and innovation, the Trauma Branch of the Chinese Medical Association, Orthopedic Branch of the Chinese Medical Doctor Association, Orthopedics Branch of the Chinese Medical Association, and Trauma Orthopedics and Polytrauma Group of the Resuscitation and Emergency Committee of the Chinese Medical Doctor Association have collaboratively organized a panel of relevant experts to develop the Guideline for diagnosis and treatment of infection after internal fixation of closed lower limb fractures in adults ( version 2025). The guideline proposed 10 recommendations, aiming to provide a foundation for standardized diagnosis and treatment of postoperative infection in adults with closed lower limb fractures.

AIM:This study aims to investigate the role of histone methyltransferase SET and MYND domain containing 2(SMYD2)in facilitating renal fibrosis through the macrophage-myofibroblast transition in diabetic kidney dis-ease(DKD).METHODS:(1)C57BL/6J mice were intraperitoneally administered 55 mg/kg of streptozotocin to induce diabetes mellitus(DM).The experimental groups were categorized as follows:normal control,DM(20 weeks),DM(28 weeks),and DM(36 weeks).Blood glucose(BG),serum creatinine(SCr)and blood urea nitrogen(BUN)levels were determined using a biochemical analyzer.Hematoxylin-eosin(HE)staining and Masson staining were performed to assess morphological and fibrotic changes in renal tissues.Western blot analysis was used to measure the protein levels of SMYD2,histone H3 lysine 4 trimethylation(H3K4me3),arginase-1,matrix metalloproteinase 9(MMP9),collagen type Ⅰ(Col Ⅰ)and α-smooth muscle actin(α-SMA).Immunofluorescence staining was conducted to examine the localization and expression of F4/80,α-SMA,SMYD2,CD86,CD206 and CD163.(2)Mouse monocyte/macrophage RAW264.7 cells were cultured in vitro and assigned to groups as follows:normal glucose(NG)+negative control siRNA(siNC),high glucose(HG)+siNC,NG+SMYD2 siRNA(siSMYD2),and HG+siSMYD2.Western blot analysis was used to assess the expression of relevant proteins.RESULTS:(1)Compared with normal control group,the levels of BG,SCr and BUN were significantly elevated in DM(28 weeks)and DM(36 weeks)groups(P＜0.05).Renal tissue exhibited tubular atro-phy,dilation,and collagen fiber deposition.The levels of H3K4me3,arginase-1,MMP9,Col Ⅰ and α-SMA proteins were up-regulated(P＜0.05).The CD86,CD206,CD163 and F4/80 were primarily localized in the interstitial macrophages of the renal tubules,α-SMA was predominantly detected in the renal interstitium,and SMYD2 was mainly expressed in renal tubular epithelial cells and the renal interstitium.(2)Compared with NG+siNC group,the protein levels of SMYD2,H3K4me3,arginase-1,CD163,Col Ⅰ,α-SMA,transforming growth factor-β1(TGF-β1)and p-Smad3 in the cells of HG+siNC group were significantly increased(P＜0.05).Knockdown of SMYD2 resulted in a reduction of these indicators(P＜0.05).CONCLUSION:The SMYD2 protein appears to facilitate renal fibrosis in DKD by promoting the macrophage-myofibroblast transition,potentially through the modulation of TGF-β1/Smad3 signaling pathway.

Objective To explore the impact of an intelligent puncture navigation used by different physicians with varying years of experience to perform the lung puncture biopsy surgery.Methods A retrospective selection was conducted of 182 patients who completed lung puncture biopsy surgery.The primary parameters were recorded included puncture time,the number of needle adjust-ments,dose length product(DLP),and complications.The physicians were categorized into high-experience and low-experience groups based on their years of clinical practice.The differences of navigation guidance and manual puncture were compared between the two groups.Results The use of navigation guidance significantly reduced the procedure time for both groups of physicians(P<0.05).Additionally,for the low-experience group,navigation guidance notably decreased the number of needle adjustments(P<0.05)and reduced the radiation dose received by patients(P<0.05).Conclusion The application of intelligent puncture navigation can shorten the procedure time,reduce the number of needle adjustments,and lower the radiation dose received by patients in lung puncture biopsy procedures.It also bridges the operational performance gap between low-experience and high-experience physicians,making it a val-uable imaging-guided tool for widespread adoption.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Stress refers to the non-specific responses of a stimulated body to different stressors and the subsequent maintenance or restoration of internal environmental homeostasis.Adverse stress reactions lead to general balance disruption and may cause digestive,neurological,and endocrine disorders,and decreased immune capacity,which seriously impact host health.As the core compo-nent of intestinal micro-ecology,the intestinal flora can greatly alter its own composition,distribu-tion,function,metabolic product output,and other aspects during stress,which cause disorders and aggravate homeostatic imbalance in internal environments.While the intestinal flora is of great sig-nificance to animal medicine and agricultural production,little is known about stress and its impact on intestinal flora.Therefore,we briefly reviewed the impact of stress on animal intestinal flora in combination with the latest research and provided theoretical insights on intestinal health research.

Membrane proteins are integral components of cellular membranes, accounting for approximately 30% of the mammalian proteome and serving as targets for 60% of FDA-approved drugs. They are critical to both physiological functions and disease mechanisms. Their functional protein-protein interactions form the basis for many physiological processes, such as signal transduction, material transport, and cell communication. Membrane protein interactions are characterized by membrane environment dependence, spatial asymmetry, weak interaction strength, high dynamics, and a variety of interaction sites. Therefore, in situ analysis is essential for revealing the structural basis and kinetics of these proteins. This paper introduces currently available in situ analytical techniques for studying membrane protein interactions and evaluates the characteristics of each. These techniques are divided into two categories: label-based techniques (e.g., co-immunoprecipitation, proximity ligation assay, bimolecular fluorescence complementation, resonance energy transfer, and proximity labeling) and label-free techniques (e.g., cryo-electron tomography, in situ cross-linking mass spectrometry, Raman spectroscopy, electron paramagnetic resonance, nuclear magnetic resonance, and structure prediction tools). Each technique is critically assessed in terms of its historical development, strengths, and limitations. Based on the authors’ relevant research, the paper further discusses the key issues and trends in the application of these techniques, providing valuable references for the field of membrane protein research. Label-based techniques rely on molecular tags or antibodies to detect proximity or interactions, offering high specificity and adaptability for dynamic studies. For instance, proximity ligation assay combines the specificity of antibodies with the sensitivity of PCR amplification, while proximity labeling enables spatial mapping of interactomes. Conversely, label-free techniques, such as cryo-electron tomography, provide near-native structural insights, and Raman spectroscopy directly probes molecular interactions without perturbing the membrane environment. Despite advancements, these methods face several universal challenges: (1) indirect detection, relying on proximity or tagged proxies rather than direct interaction measurement; (2) limited capacity for continuous dynamic monitoring in live cells; and (3) potential artificial influences introduced by labeling or sample preparation, which may alter native conformations. Emerging trends emphasize the multimodal integration of complementary techniques to overcome individual limitations. For example, combining in situ cross-linking mass spectrometry with proximity labeling enhances both spatial resolution and interaction coverage, enabling high-throughput subcellular interactome mapping. Similarly, coupling fluorescence resonance energy transfer with nuclear magnetic resonance and artificial intelligence (AI) simulations integrates dynamic structural data, atomic-level details, and predictive modeling for holistic insights. Advances in AI, exemplified by AlphaFold’s ability to predict interaction interfaces, further augment experimental data, accelerating structure-function analyses. Future developments in cryo-electron microscopy, super-resolution imaging, and machine learning are poised to refine spatiotemporal resolution and scalability. In conclusion, in situ analysis of membrane protein interactions remains indispensable for deciphering their roles in health and disease. While current technologies have significantly advanced our understanding, persistent gaps highlight the need for innovative, integrative approaches. By synergizing experimental and computational tools, researchers can achieve multiscale, real-time, and perturbation-free analyses, ultimately unraveling the dynamic complexity of membrane protein networks and driving therapeutic discovery.

OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*

Stress refers to the non-specific responses of a stimulated body to different stressors and the subsequent maintenance or restoration of internal environmental homeostasis.Adverse stress reactions lead to general balance disruption and may cause digestive,neurological,and endocrine disorders,and decreased immune capacity,which seriously impact host health.As the core compo-nent of intestinal micro-ecology,the intestinal flora can greatly alter its own composition,distribu-tion,function,metabolic product output,and other aspects during stress,which cause disorders and aggravate homeostatic imbalance in internal environments.While the intestinal flora is of great sig-nificance to animal medicine and agricultural production,little is known about stress and its impact on intestinal flora.Therefore,we briefly reviewed the impact of stress on animal intestinal flora in combination with the latest research and provided theoretical insights on intestinal health research.