Background: and Purpose Vertebrobasilar fusiform aneurysms (VBFAs) carry substantial morbidity and mortality, but optimal management for unruptured VBFAs remains unclear. We compared the safety and efficacy of conservative management (CM), stent-assisted coiling (SAC), and flow diverters (FDs) in patients with unruptured VBFAs, focusing on long-term prognosis. Methods: This study included data from a nationwide Chinese cohort of patients with vertebrobasilar dissecting aneurysms. Inverse probability of treatment weighting (IPTW) balanced confounders across groups. The primary outcome was poor prognosis (modified Rankin Scale score >2). Secondary outcomes included aneurysm rupture, ischemic stroke, compression symptoms, and VBFA-related deaths. Logistic regression estimated odds ratios (ORs) and 95% confidence intervals (CIs). Subgroup and sensitivity analyses were performed. Results: Among 1,115 patients with unruptured VBFAs, 838 (median age, 54 years; 655 men) were included. After IPTW, baseline characteristics were balanced. Median follow-up was 54 months. FD was associated with a lower risk of poor prognosis than CM (OR, 0.48 [95% CI, 0.30 to 0.77]; p=0.002), with no difference between CM and SAC. FD also reduced aneurysm rupture (OR, 0.20 [95% CI, 0.07 to 0.60]; p=0.004) and compression symptoms (OR, 0.30 [95% CI, 0.13 to 0.68]; p=0.004) versus CM. Time-to-event analyses further revealed significant differences in vertebral artery lesions and Type I–II VBFAs, whereas no significant differences were observed in basilar or vertebrobasilar junction lesions or in Type III–IV VBFAs. Conclusions Compared with CM, FD was associated with improved long-term outcomes in unruptured VBFAs, particularly in vertebral artery lesions and Type I–II VBFAs, although residual confounding cannot be excluded.

Objective To establish a chronic kidney disease-associated aortic calcification model in SD rats using different nephrectomy surgical methods, and to compare and evaluate surgical duration and survival time to explore a more optimized modeling method. Methods According to different surgical methods, the SD rats were divided into four groups: Group A: intraperitoneal resection of 2/3 of the left kidney followed by right total nephrectomy in the second stage; Group B: intraperitoneal resection of 2/3 of the left kidney and simultaneous right total nephrectomy; Group C: dorsal approach right total nephrectomy followed by resection of 2/3 of the left kidney in the second stage; Group D: dorsal approach resection of 2/3 of the left kidney followed by right total nephrectomy in the second stage. After comparing survival curves of SD rats undergoing intraperitoneal versus dorsal approaches, and staged versus single-stage nephrectomy, the optimal nephrectomy surgical method was determined. Then, twenty-four 8-week-old SPF-grade male SD rats were selected for nephrectomy combined with calcitriol-induced calcification. Experimental group (12 rats): the dorsal approach left 2/3 nephrectomy followed by right total nephrectomy, with intraperitoneal injection of 1 μg/kg calcitriol administered one week later to induce aortic calcification. Control group (12 rats): the intraperitoneal injection of 250 μL/kg physiological saline containing 1% DMSO one week after sham surgery. After intraperitoneal injection of drugs for 3 months, the survival status of rats in each group was observed. Under anesthesia, blood samples were collected from each group to measure serum phosphorus and calcium ion concentrations, as well as serum urea nitrogen and creatinine levels. After euthanizing the rats, a post-mortem examination was performed to observe the residual kidney morphology, and HE staining was used to observe the pathological changes in the coronal section of the kidney. Additionally, the entire aorta of each group was taken, and the degree of aortic calcification was observed by staining with Alizarin red S and von Kossa. Real-time fluorescence quantitative PCR was used to detect the gene expression of smooth muscle actin-associated protein alpha (Sm22), Runt-related transcription factor 2 (Runx2), and osteopontin (OPN) in rat aortic tissue to evaluate the effectiveness of the model. Results The exploratory optimization experiment of different surgical procedures found that the survival rate of group D rats,which underwent 2/3 left kidney resection followed by right whole kidney resection via the dorsal approach, was the highest, indicating that this surgical procedure was the best method for establishing a chronic kidney disease model with renal dysfunction. The experimental group rats treated with this surgical procedure combined with high-dose calcitriol injection had significantly lower serum calcium ion concentration than those in the sham-operated control group (P<0.05), while serum phosphorus ion concentration, serum creatinine, and serum urea nitrogen levels were significantly higher than those of the control group (P<0.05). HE staining of the kidneys showed significant organic changes in the kidneys of the experimental group rats, with a significant decrease in glomerular count compared to that of the control group (P<0.05), indicating the successful establishment of a renal failure model. Alizarin red S staining showed significant pigment deposition in the aortic media of the experimental group rats, while von Kossa staining showed significant silver nitrate deposition in the aortic media of the experimental group rats, which was consistent with the manifestation of aortic calcification in renal failure. Real-time fluorescence quantitative PCR showed that the expression level of Sm22 in the aortic tissue of the experimental group rats decreased (P<0.05), while the expression levels of OPN and Runx2 increased (P<0.05), indicating a transition of aortic smooth muscle cells from smooth muscle phenotype to bone-like phenotype and successful induction of an aortic calcification model. Conclusion The method of establishing an aortic calcification model of chronic kidney disease in SD rats by first removing two-thirds of the left kidney via the dorsal approach followed by right total nephrectomy, combined with high-dose calcitriol administration, shortens the surgical time, improves the success rate of modeling, and increases the animal survival rate.

Objective To establish a chronic kidney disease-associated aortic calcification model in SD rats using different nephrectomy surgical methods, and to compare and evaluate surgical duration and survival time to explore a more optimized modeling method. Methods According to different surgical methods, the SD rats were divided into four groups: Group A: intraperitoneal resection of 2/3 of the left kidney followed by right total nephrectomy in the second stage; Group B: intraperitoneal resection of 2/3 of the left kidney and simultaneous right total nephrectomy; Group C: dorsal approach right total nephrectomy followed by resection of 2/3 of the left kidney in the second stage; Group D: dorsal approach resection of 2/3 of the left kidney followed by right total nephrectomy in the second stage. After comparing survival curves of SD rats undergoing intraperitoneal versus dorsal approaches, and staged versus single-stage nephrectomy, the optimal nephrectomy surgical method was determined. Then, twenty-four 8-week-old SPF-grade male SD rats were selected for nephrectomy combined with calcitriol-induced calcification. Experimental group (12 rats): the dorsal approach left 2/3 nephrectomy followed by right total nephrectomy, with intraperitoneal injection of 1 μg/kg calcitriol administered one week later to induce aortic calcification. Control group (12 rats): the intraperitoneal injection of 250 μL/kg physiological saline containing 1% DMSO one week after sham surgery. After intraperitoneal injection of drugs for 3 months, the survival status of rats in each group was observed. Under anesthesia, blood samples were collected from each group to measure serum phosphorus and calcium ion concentrations, as well as serum urea nitrogen and creatinine levels. After euthanizing the rats, a post-mortem examination was performed to observe the residual kidney morphology, and HE staining was used to observe the pathological changes in the coronal section of the kidney. Additionally, the entire aorta of each group was taken, and the degree of aortic calcification was observed by staining with Alizarin red S and von Kossa. Real-time fluorescence quantitative PCR was used to detect the gene expression of smooth muscle actin-associated protein alpha (Sm22), Runt-related transcription factor 2 (Runx2), and osteopontin (OPN) in rat aortic tissue to evaluate the effectiveness of the model. Results The exploratory optimization experiment of different surgical procedures found that the survival rate of group D rats,which underwent 2/3 left kidney resection followed by right whole kidney resection via the dorsal approach, was the highest, indicating that this surgical procedure was the best method for establishing a chronic kidney disease model with renal dysfunction. The experimental group rats treated with this surgical procedure combined with high-dose calcitriol injection had significantly lower serum calcium ion concentration than those in the sham-operated control group (P<0.05), while serum phosphorus ion concentration, serum creatinine, and serum urea nitrogen levels were significantly higher than those of the control group (P<0.05). HE staining of the kidneys showed significant organic changes in the kidneys of the experimental group rats, with a significant decrease in glomerular count compared to that of the control group (P<0.05), indicating the successful establishment of a renal failure model. Alizarin red S staining showed significant pigment deposition in the aortic media of the experimental group rats, while von Kossa staining showed significant silver nitrate deposition in the aortic media of the experimental group rats, which was consistent with the manifestation of aortic calcification in renal failure. Real-time fluorescence quantitative PCR showed that the expression level of Sm22 in the aortic tissue of the experimental group rats decreased (P<0.05), while the expression levels of OPN and Runx2 increased (P<0.05), indicating a transition of aortic smooth muscle cells from smooth muscle phenotype to bone-like phenotype and successful induction of an aortic calcification model. Conclusion The method of establishing an aortic calcification model of chronic kidney disease in SD rats by first removing two-thirds of the left kidney via the dorsal approach followed by right total nephrectomy, combined with high-dose calcitriol administration, shortens the surgical time, improves the success rate of modeling, and increases the animal survival rate.

Objective To investigate the prevalence of common diseases among primary and secondary school students in Yichang City from 2019 to 2022, and to provide a scientific basis for formulating effective intervention measures in the future. Methods By random cluster sampling , 7 schools in urban areas and 5 schools in suburban counties were selected to screen common diseases such as myopia, dental caries, obesity and abnormal spinal curvature. Descriptive epidemiological methods were employed for statistical analysis. Results A total of 17 023 primary and secondary school students were screened from 2019 to 2022. The overall detection rate of common diseases from high to low was myopia (54.12%), caries (36.75%), overweight (15.17%), obesity (11.88%), malnutrition (5.80%), and abnormal spinal curvature (3.49%). The detection rates of myopia and abnormal curvature of the spine showed an increasing trend with years and school stages, while the detection rates of malnutrition and dental caries showed a decreasing trend with years and school stages. The detection rates of overweight and obesity showed no trend difference with years, and the detection rates of obesity showed a decreasing trend with school stages. The rates of myopia, overweight and obesity were higher in urban areas than those in suburban counties, and the rate of dental caries was higher in suburban counties than that in urban areas. The prevalence of overweight, obesity, and malnutrition in boys was higher than that in girls. The prevalence of myopia and dental caries in girls was higher than that in boys. The above differences were statistically significant (all P<0.05). Conclusion Myopia, dental caries, obesity, and abnormal curvature of the spine are the current focus of the prevention and treatment of common diseases in students. There are great differences between different regions, school stages, and genders. The ^“tripartite linkage^” of schools, families, and communities should be achieved with the joint efforts of the education and health departments to actively take targeted intervention measures to reduce the prevalence.

In recent years, the deep integration of artificial intelligence (AI) into medical education has created new opportunities for teaching Biochemistry and Molecular Biology, while also offering innovative solutions to the pedagogical challenges associated with protein structure and function. Focusing on the case of anaplastic lymphoma kinase (ALK) gene mutations in non-small-cell lung cancer (NSCLC), this study integrates AI into case-based learning (CBL) to develop an AI-CBL hybrid teaching model. This model features an intelligent case-generation system that dynamically constructs ALK mutation scenarios using real-world clinical data, closely linking molecular biology concepts with clinical applications. It incorporates AI-powered protein structure prediction tools to accurately visualize the three-dimensional structures of both wild-type and mutant ALK proteins, dynamically simulating functional abnormalities resulting from conformational changes. Additionally, a virtual simulation platform replicates the ALK gene detection workflow, bridging theoretical knowledge with practical skills. As a result, a multidimensional teaching system is established—driven by clinical cases and integrating molecular structural analysis with experimental validation. Teaching outcomes indicate that the three-dimensional visualization, dynamic interactivity, and intelligent analytical capabilities provided by AI significantly enhance students’ understanding of molecular mechanisms, classroom engagement, and capacity for innovative research. This model establishes a coherent training pathway linking “fundamental theory-scientific research thinking-clinical practice”, offering an effective approach to addressing teaching challenges and advancing the intelligent transformation of medical education.

Parkinson's disease (PD) is a common neurodegenerative disorder mainly related to mitochondrial dysfunction of dopaminergic neurons in the midbrain substantia nigra. This study aimed to investigate the effects of exercise preconditioning on motor deficits and mitochondrial function in a 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-induced PD mouse model. Eight-week-old male C57BL/6J mice were randomly divided into four groups: sedentary + saline (SS), sedentary + MPTP (SM), exercise + saline (ES), and exercise + MPTP (EM) groups. Mice in the ES and EM groups received 4 weeks of treadmill training, and then SM and EM groups were treated with MPTP for 5 days. Motor function was assessed by behavioral tests, and morphological and functional changes in dopaminergic neurons and mitochondria in the substantia nigra of the midbrain were evaluated using immunohistochemistry, Western blot, and transmission electron microscopy technology. The results showed that, compared with the SM group, the EM group exhibited significantly improved motor ability, up-regulated protein expression levels of tyrosine hydroxylase (TH) and dopamine transporter (DAT) in the midbrain, and down-regulated protein expression of α-synuclein (α-Syn) in the mitochondria of substantia nigra. Compared with the SM group, the EM group showed up-regulated protein expression levels of mitochondrial fusion proteins, including optical atrophy protein 1 (OPA1) and mitofusin 2 (MFN2), and biogenesis-related proteins, including peroxisome proliferator activated receptor gamma coactivator 1α (PGC-1α) and mitochondrial transcription factor A (TFAM), while the protein expression levels of dynamin-related protein 1 (DRP1) and mitochondrial fission protein 1 (FIS1) were significantly down-regulated. Compared with the SM group, the EM group showed significantly reduced damage to substantia nigra mitochondria, restored mitochondrial membrane potential and ATP production, and decreased levels of reactive oxygen species (ROS). These results suggest that 4-week treadmill pre-training can alleviate MPTP-induced motor impairments in PD mice by improving mitochondrial function, providing a theoretical basis for early exercise-based prevention of PD.
Animals ; Male ; Physical Conditioning, Animal/physiology* ; Mice ; Mice, Inbred C57BL ; Mitochondria/physiology* ; Dopaminergic Neurons ; MPTP Poisoning/physiopathology* ; Substantia Nigra ; Peroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alpha ; 1-Methyl-4-phenyl-1,2,3,6-tetrahydropyridine

OBJECTIVE: As an age-related neurodegenerative disease, the prevalence of mild cognitive impairment (MCI) increases with age. Within the framework of traditional Chinese medicine, spleen-kidney deficiency syndrome (SKDS) is recognized as the most frequent MCI subtype. Due to the covert and gradual onset of MCI, in community settings it poses a significant challenge for patients and their families to discern between typical aging and pathological changes. There exists an urgent need to devise a preliminary diagnostic tool designed for community-residing older adults with MCI attributed to SKDS (MCI-SKDS). METHODS: This investigation enrolled 312 elderly individuals diagnosed with MCI, who were randomly distributed into training and test datasets at a 3:1 ratio. Five machine learning methods, including logistic regression (LR), decision tree (DT), naive Bayes (NB), support vector machine (SVM), and gradient boosting (GB), were used to build a diagnostic prediction model for MCI-SKDS. Accuracy, sensitivity, specificity, precision, F1 score, and area under the curve were used to evaluate model performance. Furthermore, the clinical applicability of the model was evaluated through decision curve analysis (DCA). RESULTS: The accuracy, precision, specificity and F1 score of the DT model performed best in the training set (test set), with scores of 0.904 (0.845), 0.875 (0.795), 0.973 (0.875) and 0.973 (0.875). The sensitivity of the training set (test set) of the SVM model performed best among the five models with a score of 0.865 (0.821). The area under the curve of all five models was greater than 0.9 for the training dataset and greater than 0.8 for the test dataset. The DCA of all models showed good clinical application value. The study identified ten indicators that were significant predictors of MCI-SKDS. CONCLUSION The risk prediction index derived from machine learning for the MCI-SKDS prediction model is simple and practical; the model demonstrates good predictive value and clinical applicability, and the DT model had the best performance. Please cite this article as: Ai YT, Zhou S, Wang M, Zheng TY, Hu H, Wang YC, Li YC, Wang XT, Zhou PJ. Development of a machine learning-based risk prediction model for mild cognitive impairment with spleen-kidney deficiency syndrome in the elderly. J Integr Med. 2025; 23(4): 390-397.
Humans ; Cognitive Dysfunction/diagnosis* ; Aged ; Male ; Female ; Machine Learning ; Spleen ; Aged, 80 and over ; Kidney ; Medicine, Chinese Traditional

OBJECTIVE: Hepatocellular carcinoma (HCC) is sensitive to ferroptosis, a new form of programmed cell death that occurs in most tumor types. However, the mechanism through which ferroptosis modulates HCC remains unclear. This study aimed to investigate the oncogenic role and prognostic value of FANCD2 and provide novel insights into the prognostic assessment and prediction of immunotherapy. METHODS: Using clinicopathological parameters and bioinformatic techniques, we comprehensively examined the expression of FANCD2 macroscopically and microcosmically. We conducted univariate and multivariate Cox regression analyses to identify the prognostic value of FANCD2 in HCC and elucidated the detailed molecular mechanisms underlying the involvement of FANCD2 in oncogenesis by promoting iron-related death. RESULTS: FANCD2 was significantly upregulated in digestive system cancers with abundant immune infiltration. As an independent risk factor for HCC, a high FANCD2 expression level was associated with poor clinical outcomes and response to immune checkpoint blockade. Gene set enrichment analysis revealed that FANCD2 was mainly involved in the cell cycle and CYP450 metabolism. CONCLUSION To the best of our knowledge, this is the first study to comprehensively elucidate the oncogenic role of FANCD2. FANCD2 has a tumor-promoting aspect in the digestive system and acts as an independent risk factor in HCC; hence, it has recognized value for predicting tumor aggressiveness and prognosis and may be a potential biomarker for poor responsiveness to immunotherapy.
Humans ; Carcinoma, Hepatocellular/diagnosis* ; Liver Neoplasms/diagnosis* ; Immunotherapy ; Fanconi Anemia Complementation Group D2 Protein/metabolism* ; Prognosis ; Male ; Female ; Middle Aged ; Biomarkers, Tumor/metabolism*

OBJECTIVE: This study aimed to identify high-risk areas for type 2 diabetes mellitus (T2DM) mortality to provide relevant evidence for interventions in emerging economies. METHODS: Empirical Bayesian Kriging and a discrete Poisson space-time scan statistic were applied to identify the spatiotemporal clusters of T2DM mortality. The relationships between economic factors, air pollutants, and the mortality risk of T2DM were assessed using regression analysis and the Poisson Log-linear Model. RESULTS: A coastal district in East Guangdong, China, had the highest risk (Relative Risk [RR] = 4.58, P < 0.01), followed by the 10 coastal districts/counties in West Guangdong, China (RR = 2.88, P < 0.01). The coastal county in the Pearl River Delta, China (RR = 2.24, P < 0.01), had the third-highest risk. The remaining risk areas were two coastal counties in East Guangdong, 16 districts/counties in the Pearl River Delta, and two counties in North Guangdong, China. Mortality due to T2DM was associated with gross domestic product per capita (GDP per capita). In pilot assessments, T2DM mortality was significantly associated with carbon monoxide. CONCLUSION High mortality from T2DM occurred in the coastal areas of East and West Guangdong, especially where the economy was progressing towards the upper middle-income level.
Diabetes Mellitus, Type 2/epidemiology* ; China/epidemiology* ; Humans ; Risk Factors ; Spatio-Temporal Analysis ; Air Pollutants/analysis* ; Socioeconomic Factors ; Bayes Theorem ; Female ; Male ; Middle Aged

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.