With the aging population and the widespread implementation of lung cancer screening programs, an increasing number of elderly patients are undergoing curative lung resection. Due to diminished physiological reserve and complex comorbidities, this demographic exhibits a significantly higher incidence of severe perioperative complications (defined as Clavien-Dindo grade≥Ⅲ), which adversely affects both perioperative safety and long-term prognosis. In recent years, the research paradigm has shifted from univariate analysis toward multidimensional risk integration and the development of predictive models. This article systematically reviews the key risk factors for severe perioperative complications in elderly lung cancer patients, encompassing biological aging processes, frailty and sarcopenia, cardiopulmonary and renal functional reserves, inflammatory-immune and coagulation status, and perioperative interventions. Furthermore, it traces the evolution of risk assessment tools from traditional regression models to machine learning models that integrate multimodal data. The review also discusses common challenges in this field, including the standardization of outcome definitions, external validation, calibration assessment, and clinical translation. Future efforts should prioritize the deep integration of predictive tools with clinical decision support systems to establish a closed-loop care pathway from risk identification to stratified intervention, thereby effectively reducing complication rates and enhancing surgical outcomes for elderly lung cancer patients.

[Objective] To explore quality issues and quality management measures in alanine aminotransferase (ALT) testing, aiming to improve consistency and accuracy of ALT test results by analyzing the outcomes from different pre-donation screening methods and different sample sources. [Methods] Data were collected from 58 blood collection and supply institutions across China. ALT test results from donor samples analyzed by dry chemistry analyzers, semi-automatic biochemical analyzers, and automatic biochemical analyzers were compared, focusing on the influence of venous versus capillary blood samples on testing accuracy. By comparing results from pre-donation screening with laboratory testing, the current state of quality management for different methods and sample types was assessed. Differences in ALT unqualified rates between laboratories were analyzed, and quality improvement strategies were proposed accordingly. [Results] No significant differences were found in laboratory ALT unqualified rates between venous and capillary blood samples during pre-donation screening across different analytical methods (P>0.05). However, laboratory ALT unqualified rates were consistently lower for venous blood compared to capillary blood, regardless of the testing method used (P<0.05). Notable differences in quality control were observed among various blood collection and supply institutions (P<0.05). [Conclusion] Minimal differences were observed between pre-donation ALT screening results obtained by the three analytical methods and laboratory test outcomes; thus, blood stations can select an appropriate testing method according to their specific conditions. Pre-donation screening using venous blood samples demonstrated superior reliability in quality control compared to capillary blood samples. Significant variations in ALT unqualified rates among blood stations suggest that blood collection and supply institutions should emphasize quality management at both the pre-donation screening and laboratory testing stages. Measures such as optimized standardized operating procedures, regular equipment calibration and maintenance, proficiency testing, internal quality control, inter-system comparisons, and enhanced personnel training and evaluation should be implemented to ensure consistent and stable screening results, thereby reducing ALT unqualified rates.

Background and Objectives: Heart failure is a potentially fatal event caused by diverse cardiovascular diseases, leading to high morbidity and mortality. Histone deacetylase (HDAC) inhibitors positively influence cardiac hypertrophy, fibrosis, hypertension, myocardial infarction, and heart failure, causing some side effects. We aimed to investigate the effect of the novel HDAC inhibitor YAK577 on the heart failure mouse model and its underlying mechanism. Methods: New hydroxamic acid YAK577 was prepared via methyl-2,3-diphenylpropanoate synthesis using carboxylic acids. We used a micro-osmotic pump, including isoproterenol (ISO; 80 mg/kg/day), to induce a heart failure with reduced ejection fraction. Cardiac hypertrophy was assessed by heart weight to body weight ratio and cross-sectional area.The left ventricular (LV) function was assessed by echocardiography. Fibrosis was evaluated using picrosirius red staining. Overexpression and knockdown experiments were performed to investigate the association between HDAC8 and matrix metalloproteinase 12 (MMP12). Results: YAK577 treatment restored ISO-induced reduction in LV fractional shortening and ejection fraction (n=9–11). YAK577 significantly downregulated cardiac hypertrophy marker genes (natriuretic peptide B, NPPB, and myosin heavy chain 7, MYH7) and cardiomyocyte size in vitro but not in vivo. YAK577 ameliorated cardiac fibrosis and fibrosis-related genes in vivo and in vitro. Additionally, YAK577 reduced elevated HDAC8 and MMP12 mRNA and protein expressions in ISO-infused mice, H9c2 cells, and rat neonatal cardiomyocytes.HDAC8 overexpression stimulated MMP12 and NPPB mRNA levels, while HDAC8 knockdown downregulated these genes. Conclusions YAK577 acts as a novel heart failure drug through the HDAC8/MMP12 pathway.

Background and Objectives: Heart failure is a potentially fatal event caused by diverse cardiovascular diseases, leading to high morbidity and mortality. Histone deacetylase (HDAC) inhibitors positively influence cardiac hypertrophy, fibrosis, hypertension, myocardial infarction, and heart failure, causing some side effects. We aimed to investigate the effect of the novel HDAC inhibitor YAK577 on the heart failure mouse model and its underlying mechanism. Methods: New hydroxamic acid YAK577 was prepared via methyl-2,3-diphenylpropanoate synthesis using carboxylic acids. We used a micro-osmotic pump, including isoproterenol (ISO; 80 mg/kg/day), to induce a heart failure with reduced ejection fraction. Cardiac hypertrophy was assessed by heart weight to body weight ratio and cross-sectional area.The left ventricular (LV) function was assessed by echocardiography. Fibrosis was evaluated using picrosirius red staining. Overexpression and knockdown experiments were performed to investigate the association between HDAC8 and matrix metalloproteinase 12 (MMP12). Results: YAK577 treatment restored ISO-induced reduction in LV fractional shortening and ejection fraction (n=9–11). YAK577 significantly downregulated cardiac hypertrophy marker genes (natriuretic peptide B, NPPB, and myosin heavy chain 7, MYH7) and cardiomyocyte size in vitro but not in vivo. YAK577 ameliorated cardiac fibrosis and fibrosis-related genes in vivo and in vitro. Additionally, YAK577 reduced elevated HDAC8 and MMP12 mRNA and protein expressions in ISO-infused mice, H9c2 cells, and rat neonatal cardiomyocytes.HDAC8 overexpression stimulated MMP12 and NPPB mRNA levels, while HDAC8 knockdown downregulated these genes. Conclusions YAK577 acts as a novel heart failure drug through the HDAC8/MMP12 pathway.

Background and Objectives: Heart failure is a potentially fatal event caused by diverse cardiovascular diseases, leading to high morbidity and mortality. Histone deacetylase (HDAC) inhibitors positively influence cardiac hypertrophy, fibrosis, hypertension, myocardial infarction, and heart failure, causing some side effects. We aimed to investigate the effect of the novel HDAC inhibitor YAK577 on the heart failure mouse model and its underlying mechanism. Methods: New hydroxamic acid YAK577 was prepared via methyl-2,3-diphenylpropanoate synthesis using carboxylic acids. We used a micro-osmotic pump, including isoproterenol (ISO; 80 mg/kg/day), to induce a heart failure with reduced ejection fraction. Cardiac hypertrophy was assessed by heart weight to body weight ratio and cross-sectional area.The left ventricular (LV) function was assessed by echocardiography. Fibrosis was evaluated using picrosirius red staining. Overexpression and knockdown experiments were performed to investigate the association between HDAC8 and matrix metalloproteinase 12 (MMP12). Results: YAK577 treatment restored ISO-induced reduction in LV fractional shortening and ejection fraction (n=9–11). YAK577 significantly downregulated cardiac hypertrophy marker genes (natriuretic peptide B, NPPB, and myosin heavy chain 7, MYH7) and cardiomyocyte size in vitro but not in vivo. YAK577 ameliorated cardiac fibrosis and fibrosis-related genes in vivo and in vitro. Additionally, YAK577 reduced elevated HDAC8 and MMP12 mRNA and protein expressions in ISO-infused mice, H9c2 cells, and rat neonatal cardiomyocytes.HDAC8 overexpression stimulated MMP12 and NPPB mRNA levels, while HDAC8 knockdown downregulated these genes. Conclusions YAK577 acts as a novel heart failure drug through the HDAC8/MMP12 pathway.

Background and Objectives: Heart failure is a potentially fatal event caused by diverse cardiovascular diseases, leading to high morbidity and mortality. Histone deacetylase (HDAC) inhibitors positively influence cardiac hypertrophy, fibrosis, hypertension, myocardial infarction, and heart failure, causing some side effects. We aimed to investigate the effect of the novel HDAC inhibitor YAK577 on the heart failure mouse model and its underlying mechanism. Methods: New hydroxamic acid YAK577 was prepared via methyl-2,3-diphenylpropanoate synthesis using carboxylic acids. We used a micro-osmotic pump, including isoproterenol (ISO; 80 mg/kg/day), to induce a heart failure with reduced ejection fraction. Cardiac hypertrophy was assessed by heart weight to body weight ratio and cross-sectional area.The left ventricular (LV) function was assessed by echocardiography. Fibrosis was evaluated using picrosirius red staining. Overexpression and knockdown experiments were performed to investigate the association between HDAC8 and matrix metalloproteinase 12 (MMP12). Results: YAK577 treatment restored ISO-induced reduction in LV fractional shortening and ejection fraction (n=9–11). YAK577 significantly downregulated cardiac hypertrophy marker genes (natriuretic peptide B, NPPB, and myosin heavy chain 7, MYH7) and cardiomyocyte size in vitro but not in vivo. YAK577 ameliorated cardiac fibrosis and fibrosis-related genes in vivo and in vitro. Additionally, YAK577 reduced elevated HDAC8 and MMP12 mRNA and protein expressions in ISO-infused mice, H9c2 cells, and rat neonatal cardiomyocytes.HDAC8 overexpression stimulated MMP12 and NPPB mRNA levels, while HDAC8 knockdown downregulated these genes. Conclusions YAK577 acts as a novel heart failure drug through the HDAC8/MMP12 pathway.

OBJECTIVE: To analyze the rules of moxibustion for low back pain by ZHOU Meisheng by using data mining and knowledge graph technology. METHODS: Taking the medical cases of moxibustion for low back pain from ZHOU Meisheng's legacy manuscripts and existing works as the research objects, information on disease types, symptoms, tongue manifestations, pulse conditions, syndrome patterns, moxibustion methods and acupoints were collected. Frequency statistics and community analysis were conducted by the ancient and modern medical record cloud platform V 2.3.7, cluster analysis of high-frequency acupoints was performed by SPSS26.0, association rule analysis of high-frequency acupoints was performed by SPSS Modeler 18.0, and the generated linked data were imported into Cytoscape 3.9.1 for complex network analysis. Knowledge graph of moxibustion for low back pain by ZHOU Meisheng was constructed based on the results of data mining. The data storage and display of knowledge graph were realized through the Neo4j 3.5.25 graph database, and the Cypher query language was used for knowledge graph retrieval and discovery. RESULTS: A total of 219 medical cases were collected, involving 14 disease types, 85 related clinical symptoms, 5 related TCM syndrome types, and 6 moxibustion methods. The acupoints were mostly attributed to the governor vessel, the bladder meridian of foot-taiyang, non-meridian and non-acupoint areas. The core prescription of acupoints derived from complex network analysis included tender points, Shenshu (BL23), Jinsuo (GV8), Yinjiao (CV7), Yaoyangguan (GV3), Yanglingquan (GB34), which were largely coincides with high-frequency acupoints. Cluster analysis obtained 4 cluster combinations. Community analysis yielded 6 communities, each corresponding to different acupoints.The constructed knowledge graph contained 187 nodes and 696 relationships, by retrieving clinical elements related to low back pain, the disease-moxibustion association graph, disease-acupoint association graph, accompanying symptom-acupoint association graph and syndrome type-matching point association graph were obtained. CONCLUSION When treating low back pain with moxibustion, ZHOU Meisheng adopts the principle of promoting circulation, distinguishing diseases to determine the treatment, selecting acupoints according to the diseases, and matching points according to the symptoms.And taking tender points, Shenshu (BL23), Jinsuo (GV8), Yinjiao (CV7), Yaoyangguan (GV3), Yanglingquan (GB34) as core acupoints, combined with tenderness point selection, acupoint selection based on meridian and zangfu syndrome differentiation, "sunshine area" acupoint selection, yin-yang acupoint matching. Additionally, he skillfully employs special points, such as Zhongzhu (KI15) and ear tips, pays attention to the reform of moxibustion tools, and innovates the moxibustion techniques, using distinctive moxibustion tools and methods to treat low back pain.
Moxibustion/methods* ; Humans ; Data Mining ; Low Back Pain/history* ; Acupuncture Points ; History, Ancient ; Female ; China ; Male ; Adult ; Middle Aged

BACKGROUND: Diabetic foot is a complex condition with high incidence, recurrence, mortality, and disability rates. Current treatments for diabetic foot ulcers are often insufficient. This study was conducted to identify potential therapeutic targets for diabetic foot. METHODS: Datasets related to diabetic foot and diabetic skin were retrieved from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were identified using R software. Enrichment analysis was conducted to screen for critical gene functions and pathways. A protein interaction network was constructed to identify node genes corresponding to key proteins. The DEGs and node genes were overlapped to pinpoint target genes. Plasma and chronic ulcer samples from diabetic and non-diabetic individuals were collected. Western blotting, immunohistochemistry, and enzyme-linked immunosorbent assays were performed to verify the S100 calcium binding protein A9 (S100A9), inflammatory cytokine, and related pathway protein levels. Hematoxylin and eosin staining was used to measure epidermal layer thickness. RESULTS: In total, 283 common DEGs and 42 node genes in diabetic foot ulcers were identified. Forty-three genes were differentially expressed in the skin of diabetic and non-diabetic individuals. The overlapping of the most significant DEGs and node genes led to the identification of S100A9 as a target gene. The S100A9 level was significantly higher in diabetic than in non-diabetic plasma (178.40 ± 44.65 ng/mL vs. 40.84 ± 18.86 ng/mL) and in chronic ulcers, and the wound healing time correlated positively with the plasma S100A9 level. The levels of inflammatory cytokines (tumor necrosis factor-α, interleukin [IL]-1, and IL-6) and related pathway proteins (phospho-extracellular signal regulated kinase [ERK], phospho-p38, phospho-p65, and p-protein kinase B [Akt]) were also elevated. The epidermal layer was notably thinner in chronic diabetic ulcers than in non-diabetic skin (24.17 ± 25.60 μm vs. 412.00 ± 181.60 μm). CONCLUSIONS S100A9 was significantly upregulated in diabetic foot and was associated with prolonged wound healing. S100A9 may impair diabetic wound healing by disrupting local inflammatory responses and skin re-epithelialization.
Calgranulin B/therapeutic use* ; Diabetic Foot/metabolism* ; Humans ; Datasets as Topic ; Computational Biology ; Mice, Inbred C57BL ; Animals ; Mice ; Protein Interaction Maps ; Immunohistochemistry

Objective To explore the value of radiomics and deep transfer learning(DTL)based on gadoxetic acid disodium-enhanced magnetic resonance imaging(MRI)for preoperative prediction of microvascular invasion(MVI)in hepatocellular carcinoma(HCC).Methods A retrospective analysis was conducted using the MRI and clinicopathological data of 369 HCC patients who underwent surgery and had pathologically confirmed MVI at the Affiliated Hospital of Qingdao University from January 2019 to September 2024.According to the negative and positive manifestations of MVI,these patients were divided into MVI-group(n=219)and MVI+group(n=150);and they were then randomly assigned into the training set(n=258)and the test set(n=111)in a ratio of 7:3.Based on the hepatobiliary phase images,the optimal features were extracted and screened from radiomics features,DTL features,and the fusion features of the two.Nine machine learning models were constructed using 3 algorithms(random forest,multi-layer perceptron,and support vector machine,separately)and trained on radiomics features,DTL features,and the fusion features of the two.The diagnostic efficacy of each model was evaluated using receiver operating characteristic curve,and the optimal model was identified as the output model.Results Among all the constructed models,those based on fused features outperformed models using individual features.The random forest classifier model in the training set had the best performance,with an AUC of 0.998(95%CI:0.996-1.000),and was therefore selected as the output model in this study.Conclusion Radiomics and DTL models based on gadoxetic acid disodium-enhanced MRI can effectively predict the MVI in HCC.Among these,the random forest classifier model utilizing fused features in the training set exhibits the best performance.

OBJECTIVE: To investigate the effects of acupuncture on the neurotransmitter levels and gut microbiota in a mouse model of Tourette syndrome (TS). METHODS: Thirty-six male C57/BL6 mice were randomly divided into 4 groups using a random number table method: 3,3'-iminodipropionitrile (IDPN) group, control group, acupuncture group, and tiapride group, with 9 mice in each group. In the IDPN group, acupuncture group, and tiapride group, mice received daily intraperitoneal injections of IDPN (300 mg/kg body weight) for 7 consecutive days to induce stereotyped behaviors. Subsequently, in the acupuncture intervention group, standardized acupuncture treatment was administered for 14 consecutive days to IDPN-induced TS model mice. The selected acupoints included Baihui (DU 20), Yintang (DU 29), Waiguan (SJ 5), and Zulinqi (GB 41). In the tiapride group, mice were administered tiapride (50 mg/kg body weight) via oral gavage daily for 14 consecutive days. The control group, IDPN group, and acupuncture group received the same volume of saline orally for 14 consecutive days. Stereotypic behaviors were quantified through behavioral assessments. Neurotransmitter levels, including dopamine (DA), glutamate (Glu), and aspartate (ASP) in striatal tissue were measured using enzyme-linked immunosorbent assay. Dopamine transporter (DAT) expression levels were additionally quantified through quantitative polymerase chain reaction (qPCR). Gut microbial composition was analyzed through 16S ribosomal RNA gene sequencing, while metabolic profiling was conducted using liquid chromatography-mass spectrometry (LC-MS). RESULTS: Acupuncture administration significantly attenuated stereotypic behaviors, concurrently reducing striatal levels of DA, Glu and ASP concentrations while upregulating DAT expression compared with untreated TS controls (P<0.05 or P<0.01). Comparative analysis identified significant differences in Muribaculaceae (P=0.001), Oscillospiraceae (P=0.049), Desulfovibrionaceae (P=0.001), and Marinifilaceae (P=0.014) following acupuncture intervention. Metabolomic profiling revealed alterations in 7 metabolites and 18 metabolic pathways when compared to the TS mice, which involved various amino acid metabolisms associated with DA, Glu, and ASP. CONCLUSIONS Acupuncture demonstrates significant modulatory effects on both central neurotransmitter systems and gut microbial ecology, thereby highlighting its dual therapeutic potential for TS management through gut-brain axis regulation.
Animals ; Tourette Syndrome/metabolism* ; Gastrointestinal Microbiome ; Neurotransmitter Agents/metabolism* ; Acupuncture Therapy ; Male ; Mice, Inbred C57BL ; Mice