Esophageal cancer is a prevalent malignant tumor of the digestive tract in China, and radical surgery remains the cornerstone of its comprehensive treatment. However, multifactorial challenges such as postoperative gastrointestinal tract reconstruction, traumatic stress, and tumor-related metabolic disturbances render esophageal cancer patients highly susceptible to malnutrition. Perioperative nutritional support therapy plays a crucial role in enhancing surgical safety, improving clinical outcomes, and elevating patients' quality of life by regulating metabolic homeostasis, preserving organ function, and optimizing the immune microenvironment. This article reviews the mechanisms underlying malnutrition in esophageal cancer, methods for nutritional status assessment, and precision intervention pathways based on multi-omics evaluations. The aim is to strengthen clinicians' awareness of standardized perioperative nutritional management for esophageal cancer patients and promote its clinical implementation, thereby facilitating postoperative recovery and improving long-term quality of life.

Lung cancer remains one of the leading causes of cancer-related morbidity and mortality worldwide, and its treatment continues to face major challenges such as therapeutic resistance and tumor recurrence. Pyroptosis, a newly characterized form of programmed cell death, induces tumor cell death through gasdermin-mediated membrane pore formation and is accompanied by the release of inflammatory mediators, thereby playing complex roles in lung cancer initiation, progression, and modulation of the tumor microenvironment. Active components and herbal formulas derived from traditional Chinese medicine can modulate pyroptosis-related signaling pathways through multi-target mechanisms, showing potential advantages in inducing lung cancer cell death, inhibiting proliferation and migration, and reversing chemoresistance. This review systematically summarizes relevant studies from domestic and international sources, focusing on the molecular mechanisms of pyroptosis, its roles in lung cancer development and tumor microenvironment remodeling, and the current research progress on traditional Chinese medicine-based interventions targeting pyroptosis, with the aim of providing references for the prevention and treatment of lung cancer using traditional Chinese medicine.

Objective To analyze the nonlinear relationship between hypothermic machine perfusion (HMP) parameters and delayed graft function (DGF) and optimize the construction of a predictive model for DGF. Methods The data of 923 recipients who underwent kidney transplantation from deceased donors were retrospectively analyzed. According to the occurrence of DGF, the recipients were divided into DGF group (n=823) and non-DGF group (n=100). Donor data, HMP parameters and recipient data were analyzed for both groups. The nonlinear relationship between HMP parameters and the occurrence of DGF was explored based on restricted cubic splines (RCS). Over-sampling, under-sampling and balanced sampling were used to address the imbalance in the proportion of DGF to construct logistic regression predictive models. The area under the curve (AUC) of each model was compared in the validation set, and a nomogram model was constructed. Results Donor BMI, cold ischemia time of the donor kidney, and HMP parameters (initial and final pressures, resistance, and perfusion time) were significantly different between the DGF and non-DGF groups (all P<0.05). The RCS analysis revealed a threshold-like nonlinear relationship between HMP parameters and the risk of DGF. Among the models constructed using different sampling methods, the balanced sampling model had the highest AUC. Using this model, a nomogram was constructed to stratify recipients based on risk scores. Recipients in the high-risk group had higher serum creatinine levels at 1, 6, and 12 months after kidney transplantation compared to those in the low-risk group (all P<0.05). Conclusions There is a nonlinear relationship between HMP parameters and the risk of DGF, and the threshold is helpful for organ quality assessment and monitoring of graft function after transplantation. The predictive model for DGF constructed on the base of balanced sampling algorithms helps perioperative decision-making and postoperative graft function monitoring of kidney transplantation.

ObjectiveTobacco-related diseases remain one of the leading preventable public health challenges worldwide and are among the primary causes of premature death. In recent years, accumulating evidence has supported the classification of nicotine addiction as a chronic brain disease, profoundly affecting both brain structure and function. Despite the urgency, effective diagnostic methods for smoking addiction remain lacking, posing significant challenges for early intervention and treatment. To address this issue and gain deeper insights into the neural mechanisms underlying nicotine dependence, this study proposes a novel graph neural network framework, termed TI-GNN. This model leverages functional magnetic resonance imaging (fMRI) data to identify complex and subtle abnormalities in brain connectivity patterns associated with smoking addiction. MethodsThe study utilizes fMRI data to construct functional connectivity matrices that represent interaction patterns among brain regions. These matrices are interpreted as graphs, where brain regions are nodes and the strength of functional connectivity between them serves as edges. The proposed TI-GNN model integrates a Transformer module to effectively capture global interactions across the entire brain network, enabling a comprehensive understanding of high-level connectivity patterns. Additionally, a spatial attention mechanism is employed to selectively focus on informative inter-regional connections while filtering out irrelevant or noisy features. This design enhances the model’s ability to learn meaningful neural representations crucial for classification tasks. A key innovation of TI-GNN lies in its built-in causal interpretation module, which aims to infer directional and potentially causal relationships among brain regions. This not only improves predictive performance but also enhances model interpretability—an essential attribute for clinical applications. The identification of causal links provides valuable insights into the neuropathological basis of addiction and contributes to the development of biologically plausible and trustworthy diagnostic tools. ResultsExperimental results demonstrate that the TI-GNN model achieves superior classification performance on the smoking addiction dataset, outperforming several state-of-the-art baseline models. Specifically, TI-GNN attains an accuracy of 0.91, an F1-score of 0.91, and a Matthews correlation coefficient (MCC) of 0.83, indicating strong robustness and reliability. Beyond performance metrics, TI-GNN identifies critical abnormal connectivity patterns in several brain regions implicated in addiction. Notably, it highlights dysregulations in the amygdala and the anterior cingulate cortex, consistent with prior clinical and neuroimaging findings. These regions are well known for their roles in emotional regulation, reward processing, and impulse control—functions that are frequently disrupted in nicotine dependence. ConclusionThe TI-GNN framework offers a powerful and interpretable tool for the objective diagnosis of smoking addiction. By integrating advanced graph learning techniques with causal inference capabilities, the model not only achieves high diagnostic accuracy but also elucidates the neurobiological underpinnings of addiction. The identification of specific abnormal brain networks and their causal interactions deepens our understanding of addiction pathophysiology and lays the groundwork for developing targeted intervention strategies and personalized treatment approaches in the future.

Aim To study whether intravenous injec-tion of miR-129-3p mimetic(agomir)can resist bone loss caused by hind limb disuse,and to provide new i-deas for preventing bone loss in microgravity environ-ment.Methods Forty-eight C57BL/6J male mice were randomly divided into the control group(CON),tail suspension model group(TS),tail suspension+miR-129-3p agomir administration group(miRNA)and tail suspension+miR-129-3p negative sequence agomir control group(NC).The miRNA group was given 4 mg·kg-1 miR-129-3p agomir by intravenous injection into the medial canthus twice a week.The NC agomir group were consistent with those in the miR-129-3p agomir group,and the CON and TS groups were given only equal volumes of normal saline.After four weeks,all mice were sacrificed and samples were collected.Micro-CT scan of femur,three-point femur bending test,serum bone metabolism index detection,oxidative stress index detection and osteogenesis-related protein expression analysis in bone tissue were per-formed.Results After four weeks,the number of tra-becular bone in the TS group was significantly re-duced,and Tb.BMD,Tb.Th,Tb.N,Tb.BS/TV and Tb.BV/TV were significantly lower than those in the CON group(P＜0.01).While Tb.Sp TS group was significantly higher than the CON group(P＜0.05),the maximum load and flexural strength of the femur significantly decreased(P＜0.01),the content of ser-um bone formation index PINP was significantly lower than that of the CON group(P＜0.01),and the con-tent of bone resorption index CTX-I was significantly higher than that of the CON group(P＜0.01),the content of serum oxidative damage indexes 8-iso-PGF2α and 8-OHdG significantly increased(P＜0.01),and the expression of osteogenesis-related pro-teins in bone tissue markedly decreased(P＜0.01).However,the increase or decrease of all indexes in miRNA group was significantly lower than that in TS group.Conclusions miR-129-3p mimetic can signifi-cantly reduce bone loss caused by hind limb disuse.This experiment provides a new idea and method for preventing bone loss in microgravity environment.

Objective To evaluate the impact of Jixiong Jiedu decoction on the efficacy of diabetic kidney disease in mice and its influence on intestinal flora and trimethylamine oxide(TMAO)levels.Methods Twelve 7-week-old male db/db mice were randomly assigned to the model group or Jixiong Jiedu decoction group(6 mice per group),while 6 male db/m mice were designated as the control group.Following 8 weeks of continuous gavage,we monitored the body weight and blood glucose levels of the mice at weeks 0,4,and 8.Additionally,we assessed urinary microalbumin,kidney injury molecule-1(KIM-1),creatinine(Scr),and urea nitrogen(BUN)levels in urine.Renal pathology was evaluated using HE and PAS staining.Furthermore,fecal samples underwent 16s RNA sequencing,and the serum TMAO levels were determined.Results Compared with the control group,the blood glucose,body weight,8-hour urinary microalbumin,KIM-1 and Scr in the model group were significantly increased,and the renal pathology showed that glomerular segmental mesangial matrix increased,glomerular volume hypertrophy and renal tubular epithelial cell swelling.The abundance of Lactobacillaceae and Lactobacillus in the model group was significantly increased(P<0.01).The abundance of Lachnospiraceae,Helicobacter and Oscillospira decreased significantly(P<0.01),the abundance of each bacterial group changed,and the serum TMAO content increased significantly.Compared with the model group,the 8h urinary microalbumin,KIM-1(P<0.01)and Scr(P<0.05)in the Jixiong Jiedu decoction group were significantly decreased,and there was no significant difference in BUN(P>0.05),and the renal pathological damage was significantly improved.The abundance of Lactobacillaceae and Lactobacillus in intestinal flora decreased significantly(P<0.01),while the abundance of Lachnospiraceae and Oscillospira increased significantly(P<0.01,P<0.05).The structure of gut microbiota,the abundance of dominant and non-dominant bacteria were positively adjusted,and the serum TMAO content was significantly decreased(P<0.01).Conclusion Jixiong Jiedu decoction effectively ameliorates intestinal flora disorders in db/db mice and regulates serum TMAO levels,thereby exerting a nephroprotective effect.

Objective To enhance the standardization rate of anticancer drug treatment records.Methods Based on the PDCA cycle quality management tool,C hospital developed and implemented the expert consensus on the Writing Standards for Medical Records of Anticancer Drug Treatment,and continuously monitored the record standard rate.x2 test,Fisher exact probability method and Mann-Kendall trend test were used to analyze the monitoring data.Results After publicity,training,quality control and inclusion in performance assessment,C hospital record standard rate improved rapidly,surpassed 99％in April 2023 and remaining stable thereafter.Before and after the dissemination of the management experience in District H of Beijing,the standardization rate of anticancer drug treatment records increased from 56.99％in the first quarter of 2023 to 72.82％in the first quarter of 2024.An upward trend was observed in the standardization rate of whether there is an evaluation of adverse reactions.Conclusion The standardization rate of anticancer drug treatment records based on PDCA cycle has improved.However,continuous monitoring and improvement of the standardization rate within the region are still required in the future.

Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3％)and from outpatient and emergency care patients(4.7％).Overall,19.6％of the isolates were from children and 80.4％were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0％and 32.0％,respectively.Coagulase negative Staphylococcus accounted for 73.0％of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2％in children and 45.6％in adults.The prevalence of MRCNS was 67.6％in adults and 69.5％in children.A small number of vancomycin-resistant Enterococcus faecium(2.2％)and linezolid-resistant Enterococcus faecalis(3.1％)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2％and 76.4％in children,70.5％and 63.5％in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3％and 47.7％in children,6.4％and 47.9％in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0％and 37.1％in children,81.7％and 39.9％in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.

Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3％of the total number of clinical isolates from all patients.Overall,21.8％of the 514 715 strains were gram-positive bacteria,and 78.2％were gram-negative bacteria.Majority(90.9％)of the strains were isolated from inpatients.About 42.9％of the strains were isolated from respiratory specimens,and 22.9％were isolated from urine.More than half(60.7％)of the strains were isolated from male patients,and 39.3％isolated from females.About 51.1％of the strains were isolated from patients aged 65-＜75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8％in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2％,1.5％)and linezolid-resistant strains(3.4％,0.3％)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3％,4.0％,and 1.7％in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2％)to imipenem and meropenem were 20.9％and 22.3％,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7％-7.8％of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6％)to imipenem and meropenem were 68.4％and 70.6％respectively,while 28.5％and 24.3％of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-＜75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.

Aim To explore the effects of high glucose on KIAA0753 and CCSAP and the relationship between KIAA0753 and CCSAP and osteogenic differentiation and calcium signaling pathway under high glucose con-ditions.Methods Mouse embryonic osteoblast pre-cursor cells(MC3T3-E1)were induced by osteoblast medium with glucose concentrations of 5.5 and 25 mmol·L-1,and the protein expressions of KIAA0753 and CCSAP were detected by Western blot.The over-expressed plasmid was transfected into human embry-onic kidney cells(HEK-293T),and the interaction between KIAA0753 and CCSAP was detected by co-im-munoprecipitation.MC3T3-E1 cells were treated in the osteogenic medium with different glucose concentrations and induction times.Alkaline phosphatase(ALP)ac-tivity was detected with a kit.The expression of KI-AA0753,CCSAP,osteopontin,osteocalcin,and other proteins were assessed using Western blot.and then 5.5,25 mmol·L-1,and 25 mmol·L-1+OE-CCSAP three groups of MC3T3-E1 cells were set.The expression of KIAA0753,OCN,OPN protein,and ALP activity were detected successively.The diabetic mouse model dataset in Gene Expression Omnibus was used to screen differential genes for bioinformatics a-nalysis.MC3T3-E1 cells were set up in three groups,5.5,25 mmol·L-1,and 25 mmol·L-1+OE-KI-AA0753,respectively.The calcium/calmodulin-de-pendent protein kinase Ⅱ beta(CAMK2B)and phos-pholamban(PLN)were detected by Western blot.Re-sults Compared with the 5.5 mmol·L-1 group,25 mmol·L-1 inhibited the expression of KIAA0753 and CCSAP proteins in osteoblasts,and there was an inter-action between KIAA0753 and CCSAP.At the same time,25 mmol·L-1 also inhibited the expression of ALP,OPN,and OCN proteins in osteoblasts.Overex-pression of CCSAP at 25 mmol·L-1 up-regulated the expression of KIAA0753,OCN,OPN,and ALP.The differential genes of the diabetic mouse model were mainly concentrated in the aspects of"signal receptor and signal regulation".25 mmol·L-1 glucose inhibi-ted the expression of CAMK2B and PLN proteins in os-teoblasts,and overexpression of KIAA0753 at 25 mmol·L-1 upregulated the expression of CAMK2B and PLN proteins.Conclusions High glucose inhibits the expression of KIAA0753 and CCSAP protein,inhibits the osteogenic differentiation and calcium signaling in mouse embryonic osteoblast precursor cells,overex-pression of CCSAP saves the inhibitory effect of high glucose on osteogenic differentiation,and overexpres-sion of KIAA0753 reverses the inhibitory effect of high glucose on calcium signaling pathway.