Objective To investigate the influencing factors of postoperative complications with Clavien-Dindo grade ≥ Ⅲ in elderly patients with esophageal cancer and construct a line graph prediction model.Methods 376 esophageal cancer patients who underwent radical esophagectomy in our hospital from January 2021 to December 2022 were selected as the study subjects.According to the Claven Mindo surgical complication grading system,the groups were divided into two groups:Clavien Mindo grading Grade Ⅲ group(93 cases)and Clavien Mindo grading＜Grade Ⅲ group(283 cases).Univariate analysis and multifactor Logistic regression were used to analyze the influencing factors of postoperative complications of esophageal cancer with Clavien-Dindo grade ≥ Ⅲ,and establish a risk prediction column chart model using R 3.5.1 software;The discrimination and calibration of the area verification model under the ROC curve;Use calibration curves and Hosmer Lemeshoe goodness of fit tests to evaluate the fit of the column chart model.Results 376 patients with esophageal cancer,93 patients with Clavien-Dindo grade ≥ Ⅲ had complications,accounting for 24.73％.The results of univariate analysis showed that chronic respiratory disease,intraoperative blood loss,surgical time,ASA grading,prognostic nutritional index,and Charlson comorbidities index were significantly correlated with postoperative complications in elderly esophageal cancer patients with Clavien Dundo grading ≥ grade Ⅲ(P＜0.05).The results of the logistic multiple regression model showed that intraoperative bleeding volume,surgical time,ASA grading,prognostic nutritional index,and Charlson Comorbidity Index were independent risk factors for postoperative complications in elderly esophageal cancer patients with Clavien Dundo grading≥grade Ⅲ(all P＜0.05),Based on five variables,a nomogram prediction model for postoperative complications in elderly patients with esophageal cancer with Clavien-Dindo grade ≥ Ⅲ was constructed.ROC curve analysis verified that the area under ROC curve was 0.835(0.794～0.876),indicating a good differentiation of the model.The calibration curve is drawn.The slope of the calibration curve is close to 1,and the predicted probability is basically consistent with the actual probability.Hosmer-Lemeshow goodness of fit test,x2=5.737,df=8,P=0.676.The analysis results of decision curve show that the threshold probability is less than 0.8 and the net benefit rate is greater than 0.Conclusion The prediction model based on 5 independent risks can reliably predict the probability of postoperative complications with Clavien-Dindo grade ≥ Ⅲ,which is helpful to provide targeted preventive measures for high-risk patients and reduce the occurrence of complications with Clavien-Dindo grade≥Ⅲ.

High mobility group box protein 1(HMGB1)is one of the most widely expressed protein member in the HMGs family,which is well known for its involvement in the body inflammatory response.Previous researches have found that it plays a significant role in cell migration,immune identification and neuroprotection.Spinal cord injury is a disease that causes severe damage to the nervous system,and neural circuits are disrupted after a spinal cord injury,which leads to many conditions including ischemia and hypoxia,inflammatory responses,demyelinating lesions,and glial scar formation that are detrimental to nerve regeneration and repair,making it one of the most difficult diseases to treat in the modern spinal surgery field.HMGB1 is upregulated after spinal cord injury,thereby regulating neuroinflam-matory responses,and participating in the neuronal apoptosis,promoting neuronal regeneration,and inducing neural stem cell differentiation and migration,which plays an important role in the process of neural function recovery.This paper summarizes the structure and function of HMGB1,as well as its role in spinal cord injury,in order to provide direction for founding therapeutic target for neurological function recovery after spinal cord injury.

Objective To investigate the influencing factors of postoperative complications with Clavien-Dindo grade ≥ Ⅲ in elderly patients with esophageal cancer and construct a line graph prediction model.Methods 376 esophageal cancer patients who underwent radical esophagectomy in our hospital from January 2021 to December 2022 were selected as the study subjects.According to the Claven Mindo surgical complication grading system,the groups were divided into two groups:Clavien Mindo grading Grade Ⅲ group(93 cases)and Clavien Mindo grading＜Grade Ⅲ group(283 cases).Univariate analysis and multifactor Logistic regression were used to analyze the influencing factors of postoperative complications of esophageal cancer with Clavien-Dindo grade ≥ Ⅲ,and establish a risk prediction column chart model using R 3.5.1 software;The discrimination and calibration of the area verification model under the ROC curve;Use calibration curves and Hosmer Lemeshoe goodness of fit tests to evaluate the fit of the column chart model.Results 376 patients with esophageal cancer,93 patients with Clavien-Dindo grade ≥ Ⅲ had complications,accounting for 24.73％.The results of univariate analysis showed that chronic respiratory disease,intraoperative blood loss,surgical time,ASA grading,prognostic nutritional index,and Charlson comorbidities index were significantly correlated with postoperative complications in elderly esophageal cancer patients with Clavien Dundo grading ≥ grade Ⅲ(P＜0.05).The results of the logistic multiple regression model showed that intraoperative bleeding volume,surgical time,ASA grading,prognostic nutritional index,and Charlson Comorbidity Index were independent risk factors for postoperative complications in elderly esophageal cancer patients with Clavien Dundo grading≥grade Ⅲ(all P＜0.05),Based on five variables,a nomogram prediction model for postoperative complications in elderly patients with esophageal cancer with Clavien-Dindo grade ≥ Ⅲ was constructed.ROC curve analysis verified that the area under ROC curve was 0.835(0.794～0.876),indicating a good differentiation of the model.The calibration curve is drawn.The slope of the calibration curve is close to 1,and the predicted probability is basically consistent with the actual probability.Hosmer-Lemeshow goodness of fit test,x2=5.737,df=8,P=0.676.The analysis results of decision curve show that the threshold probability is less than 0.8 and the net benefit rate is greater than 0.Conclusion The prediction model based on 5 independent risks can reliably predict the probability of postoperative complications with Clavien-Dindo grade ≥ Ⅲ,which is helpful to provide targeted preventive measures for high-risk patients and reduce the occurrence of complications with Clavien-Dindo grade≥Ⅲ.

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.

As the first defense of respiratory system,airway epi-thelial cells(AECs)play an important role in separating the re-spiratory internal and external environment.They are essential for the natural immune function.Small airway lesions are an im-portant early pathology of chronic obstructive pulmonary disease(COPD),when AECs are exposed to harmful particles or gases for a long time,the epithelial barrier is damaged,and the signa-ling pathways which involved in differentiation,repair,and in-flammatory are disordered,resulting in epithelial cell cycle stag-nation and accelerated aging.A number of studies have sugges-ted that AECs of COPD patients express high levels of aging markers,suggesting that senescence of AECs is closely related to COPD.This review discusses the potential mechanisms of AECs senescence in COPD,the impact of AECs senescence on the de-velopment and severity of the disease,and highlights potential targets for modulating cellular senescence in airway epithelium as a therapeutic approach in COPD.

High mobility group box protein 1(HMGB1)is one of the most widely expressed protein member in the HMGs family,which is well known for its involvement in the body inflammatory response.Previous researches have found that it plays a significant role in cell migration,immune identification and neuroprotection.Spinal cord injury is a disease that causes severe damage to the nervous system,and neural circuits are disrupted after a spinal cord injury,which leads to many conditions including ischemia and hypoxia,inflammatory responses,demyelinating lesions,and glial scar formation that are detrimental to nerve regeneration and repair,making it one of the most difficult diseases to treat in the modern spinal surgery field.HMGB1 is upregulated after spinal cord injury,thereby regulating neuroinflam-matory responses,and participating in the neuronal apoptosis,promoting neuronal regeneration,and inducing neural stem cell differentiation and migration,which plays an important role in the process of neural function recovery.This paper summarizes the structure and function of HMGB1,as well as its role in spinal cord injury,in order to provide direction for founding therapeutic target for neurological function recovery after spinal cord injury.

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.

BACKGROUND: A growing body of research is exploring the role of antioxidant and anti-inflammatory dietary supplements in the treatment of osteoarthritis, highlighting an increasing emphasis on non-pharmacological interventions. Although more patients are turning to supplements to manage osteoarthritis, their actual effectiveness remains uncertain. OBJECTIVE: This study aims to provide a comprehensive evaluation of the available evidence concerning the efficacy of various dietary supplements in osteoarthritis treatment. SEARCH STRATEGY: We searched PubMed, Embase, Cochrane Library and Web of Science for studies on the use of various dietary supplements in the treatment of osteoarthritis from the creation of each database until Jan 20, 2025. INCLUSION CRITERIA: (1) Research object: osteoarthritis. (2) Intervention measures: patients in the treatment group received dietary supplements, while the control group received placebos. (3) Research type: randomized controlled trials (RCTs). DATA EXTRACTION AND ANALYSIS: Two researchers independently examined the literature and retrieved data based on predefined criteria. The information gathered included the first author, year of publication, sample size, participant demographics, length of the follow-up period, intervention and control measures, and inclusion indications. RCTs comparing dietary supplements to placebo with the pain and function subscales of the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) among patients with osteoarthritis were included. The optimal dietary supplement was identified based on the total ranking by summing the surface under the cumulative ranking curve (SUCRA) of these two scores. Furthermore, the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) was used to confirm the quality of the evidence. RESULTS: Overall, 23 studies covering 21 dietary supplements and involving 2455 participants met the inclusion criteria. In the WOMAC pain score, the SUCRA of passion fruit peel extract was 91% (mean difference [MD]: -9.2; 95% confidence interval [CI]: [-16.0, -2.3]), followed by methylsulfonylmethane (89%), undenatured type II collagen (87%), collagen (84%), and Lanconone (82%). The SUCRA (99%) of passion fruit peel extract (MD: -41.0; 95% CI: [-66.0, -16.0]) ranked first in terms of the WOMAC function score, followed by Lanconone (95%), collagen (86%), ParActin (84%), and Lactobacillus casei strain Shirota (83%). The top three total rankings are passion fruit peel extract (95.0%), Lanconone (88.5%), and collagen (85.0%). However, the GRADE revealed low evidence quality. CONCLUSION Passion fruit peel extract was the best supplement for improving WOMAC pain and function scores in patients with osteoarthritis, followed by Lanconone and collagen. However, further large-scale, well designed RCTs are required to substantiate these promising findings. Please cite this article as: Chen CS, Wen L, Yang F, Deng YC, Ji JH, Chen RJ, Chen Z, Chen G, Gu JY. Effects of dietary supplements on patients with osteoarthritis: A systematic review and network meta-analysis. J Integr Med. 2025; 23(4): 357-369.
Humans ; Dietary Supplements ; Osteoarthritis/drug therapy* ; Randomized Controlled Trials as Topic

OBJECTIVE: To identify prognostic genes associated with lysosome-dependent cell death (LDCD) in patients with gastric cancer (GC). METHODS: Differentially expressed genes (DEGs) were identified using The Cancer Genome Atlas - Stomach Adenocarcinoma. Weighted gene co-expression network analysis was performed to identify the key module genes associated with LDCD score. Candidate genes were identified by DEGs and key module genes. Univariate Cox regression analysis, and least absolute shrinkage and selection operator regression and multivariate Cox regression analyses were performed for the selection of prognostic genes, and risk module was established. Subsequently, key cells were identified in the single-cell dataset (GSE183904), and prognostic gene expression was analyzed. Cell proliferation and migration were assessed using the Cell Counting Kit-8 assay and the wound healing assay. RESULTS: A total of 4,465 DEGs, 95 candidate genes, and 4 prognostic genes, including C19orf59, BATF2, TNFAIP2, and TNFSF18, were identified in the analysis. Receiver operating characteristic curves indicated the excellent predictive power of the risk model. Three key cell types (B cells, chief cells, and endothelial/pericyte cells) were identified in the GSE183904 dataset. C19orf59 and TNFAIP2 exhibited predominant expression in macrophage species, whereas TNFAIP2 evolved over time in endothelial/pericyte cells and chief cells. Functional experiments confirmed that interfering with C19orf59 inhibited proliferation and migration in GC cells. CONCLUSION C19orf59, BATF2, TNFAIP2, and TNFSF18 are prognostic genes associated with LDCD in GC. Furthermore, the risk model established in this study showed robust predictive power.
Stomach Neoplasms/pathology* ; Humans ; Prognosis ; Lysosomes/physiology* ; RNA-Seq ; Cell Death ; Single-Cell Analysis ; Gene Expression Regulation, Neoplastic ; Cell Proliferation ; Single-Cell Gene Expression Analysis

OBJECTIVE: To investigate the spatiotemporal patterns and socioeconomic factors influencing the incidence of tuberculosis (TB) in the Guangdong Province between 2010 and 2019. METHOD: Spatial and temporal variations in TB incidence were mapped using heat maps and hierarchical clustering. Socioenvironmental influencing factors were evaluated using a Bayesian spatiotemporal conditional autoregressive (ST-CAR) model. RESULTS: Annual incidence of TB in Guangdong decreased from 91.85/100,000 in 2010 to 53.06/100,000 in 2019. Spatial hotspots were found in northeastern Guangdong, particularly in Heyuan, Shanwei, and Shantou, while Shenzhen, Dongguan, and Foshan had the lowest rates in the Pearl River Delta. The ST-CAR model showed that the TB risk was lower with higher per capita Gross Domestic Product (GDP) [Relative Risk ( RR), 0.91; 95% Confidence Interval ( CI): 0.86-0.98], more the ratio of licensed physicians and physician ( RR, 0.94; 95% CI: 0.90-0.98), and higher per capita public expenditure ( RR, 0.94; 95% CI: 0.90-0.97), with a marginal effect of population density ( RR, 0.86; 95% CI: 0.86-1.00). CONCLUSION The incidence of TB in Guangdong varies spatially and temporally. Areas with poor economic conditions and insufficient healthcare resources are at an increased risk of TB infection. Strategies focusing on equitable health resource distribution and economic development are the key to TB control.
Humans ; China/epidemiology* ; Incidence ; Bayes Theorem ; Spatio-Temporal Analysis ; Tuberculosis/epidemiology* ; Socioeconomic Factors