Objective To explore the clinical efficacy of robot-assisted coronary artery bypass grafting through a small incision in the left intercostal space in the treatment of multivessel coronary disease. Methods A retrospective analysis was conducted on the clinical data of patients who underwent coronary artery bypass grafting through a small incision in the left intercostal space at Central China Fuwai Hospital of Zhengzhou University from January 1, 2023 to October 15, 2024. Patients were divided into a robotic group and a minimally invasive group based on whether the surgery was assisted by the Da Vinci robot. Results A total of 81 patients were included, with 57 in the minimally invasive group, including 41 males and 16 females, with a median age of 65.0 (57.5, 69.5) years; and 24 in the robotic group, including 17 males and 7 females, with a median age of 61.0 (56.0, 69.0) years. There was no statistically significant difference in baseline data between the two groups (P>0.05). The robotic group had less intraoperative bleeding [300 (200, 438) mL vs. 500 (375, 600) mL, P=0.006], shorter postoperative mechanical ventilation time [15.0 (13.3, 23.5) h vs. 22.0 (15.5, 39.5) h, P=0.037], and lower incidence of postoperative pain [8 (33.3%) vs. 33 (57.9%), P=0.043]. The hospitalization cost in the robotic group was higher than that in the minimally invasive group [130491 (123298, 135691) yuan vs. 123892 (115543, 133449) yuan, P=0.023]. There was no statistical difference in postoperative laboratory indicators between the two groups (P>0.05). There was also no statistical difference in the duration of surgery, postoperative 24 h drainage volume, ICU stay time, postoperative hospital stay or incidences of perioperative compications including pleural effusion, transfusion, new-onset atrial fibrillation, acute kidney injury, non-union of incision, major cardiovascular and cerebrovascular adverse events, and reoperation between the two groups (P>0.05). Conclusion Compared with the minimally invasive group, the robotic group shows satisfactory efficacy and can effectively reduce postoperative pain and intraoperative bleeding, and shorten postoperative mechanical ventilation time.

Early caries confined to the enamel layer represent a critical window for achieving noninvasive intervention in caries management. Caries management has shifted from the traditional “drill-and-fill” model toward a modern paradigm centered on caries risk and lesion management. Based on contemporary concepts, this review systematically summarizes recent advances in early caries management, including caries risk assessment, early diagnosis, treatment strategy selection, and follow-up monitoring, while highlighting the major challenges currently being faced, and further reviewing and discussing the application of artificial intelligence (AI) in early caries management. In terms of risk management, conventional systems including the American Dental Association, Caries Management by Risk Assessment, Cariogram, and the Caries-Risk Assessment Tool remain mainstays in clinical practice. However, AI offers predictive capability through higher-dimensional data processing and the integration of numerous influencing factors, with the potential to improve the accuracy of risk stratification. For diagnosis, visual inspection, tactile examination, and bitewing radiography remain fundamental methods, yet their sensitivity for early caries—particularly proximal lesions—is limited. The application of optical technologies, including quantitative light-induced fluorescence, optical coherence tomography, near-infrared light transillumination, fiber-optic transillumination, and laser-induced fluorescence, enables digital characterization of caries lesions, providing a data foundation for demineralization assessment, lesion activity evaluation, and AI model development. The management of early caries primarily relies on noninvasive and minimally invasive approaches. Remineralization therapy is suitable for superficial lesions, resin infiltration offers the dual advantages of inhibiting lesion progression and improving aesthetics, and microabrasion and bleaching may serve as adjunctive aesthetic treatments. Emerging modalities such as laser, ozone, and photodynamic therapy have also demonstrated potential. Treatment decision-making should comprehensively consider lesion activity, patient caries risk status, demineralization depth, patient compliance, and treatment preferences. However, precise quantification of demineralization depth remains challenging, and standardized decision-making criteria are still lacking. Follow-up management should be individualized based on risk stratification, with attention to lesion changes, patient compliance, and the risk of recurrence. In summary, intelligent and precision-based approaches are expected to define the future of early caries management, and the application of AI in risk prediction, image analysis, and clinical decision support is anticipated to further enhance the efficiency and effectiveness of early caries diagnosis and treatment.

Obesity represents a critical global health challenge characterized by a complex pathogenesis involving dysregulated adipogenesis and lipid metabolism. In recent years, long non-coding RNAs (lncRNAs) have been established as crucial regulators in the initiation and progression of obesity. These RNA molecules, typically exceeding 200 nucleotides in length, have emerged as key modulators of various biological processes through multiple molecular mechanisms. This review innovatively defines lncRNAs as “molecular switches” in energy metabolism—they regulate adipogenesis and lipid metabolism through key signaling pathways, and exert bidirectional control over obesity via ceRNA mechanisms or recruitment of chromatin-modifying complexes in tissues such as adipose and liver. Additionally, circulating lncRNAs, owing to their tissue specificity and stability, hold promise as non-invasive liquid biopsy biomarkers for obesity and related metabolic disorders. Furthermore, we systematically summarize lncRNA-based intervention strategies, including targeting pathogenic lncRNAs using antisense oligonucleotides (ASOs) or CRISPR/Cas gene editing systems, utilizing viral vectors (such as adeno-associated virus, AAV) to deliver or mimic beneficial lncRNAs in target tissues, and employing exercise as a non-pharmacological intervention that ameliorates obesity and its related complications at multiple levels, offering novel insights for personalized therapeutic approaches. We also critically assess the current challenges in clinical translation, particularly addressing issues related to delivery efficiency, target specificity, and long-term safety concerns. Future research should focus on the following directions: integrating multi-omics with functional screening to elucidate the regulatory networks of lncRNAs in obesity and its complications; leveraging artificial intelligence to construct predictive models of lncRNA-target gene interactions; developing efficient and safein vivo delivery systems, and optimizing drug design to enhance specificity and safety; establishing highly sensitive detection methods and stable circulating lncRNA biomarkers to enable precise patient stratification and real-time monitoring of therapeutic responses; investigating the synergistic effects of lncRNAs with existing treatments (e.g., GLP-1 receptor agonists, lifestyle interventions) to develop combination therapies and establish a multidimensional, personalized precision medicine framework for obesity. This review aims to provide novel perspectives for understanding the molecular mechanisms underlying obesity and to establish a solid theoretical foundation for developing lncRNA-targeted precision medicine strategies against obesity and its associated metabolic complications.

Obesity represents a critical global health challenge characterized by a complex pathogenesis involving dysregulated adipogenesis and lipid metabolism. In recent years, long non-coding RNAs (lncRNAs) have been established as crucial regulators in the initiation and progression of obesity. These RNA molecules, typically exceeding 200 nucleotides in length, have emerged as key modulators of various biological processes through multiple molecular mechanisms. This review innovatively defines lncRNAs as “molecular switches” in energy metabolism—they regulate adipogenesis and lipid metabolism through key signaling pathways, and exert bidirectional control over obesity via ceRNA mechanisms or recruitment of chromatin-modifying complexes in tissues such as adipose and liver. Additionally, circulating lncRNAs, owing to their tissue specificity and stability, hold promise as non-invasive liquid biopsy biomarkers for obesity and related metabolic disorders. Furthermore, we systematically summarize lncRNA-based intervention strategies, including targeting pathogenic lncRNAs using antisense oligonucleotides (ASOs) or CRISPR/Cas gene editing systems, utilizing viral vectors (such as adeno-associated virus, AAV) to deliver or mimic beneficial lncRNAs in target tissues, and employing exercise as a non-pharmacological intervention that ameliorates obesity and its related complications at multiple levels, offering novel insights for personalized therapeutic approaches. We also critically assess the current challenges in clinical translation, particularly addressing issues related to delivery efficiency, target specificity, and long-term safety concerns. Future research should focus on the following directions: integrating multi-omics with functional screening to elucidate the regulatory networks of lncRNAs in obesity and its complications; leveraging artificial intelligence to construct predictive models of lncRNA-target gene interactions; developing efficient and safein vivo delivery systems, and optimizing drug design to enhance specificity and safety; establishing highly sensitive detection methods and stable circulating lncRNA biomarkers to enable precise patient stratification and real-time monitoring of therapeutic responses; investigating the synergistic effects of lncRNAs with existing treatments (e.g., GLP-1 receptor agonists, lifestyle interventions) to develop combination therapies and establish a multidimensional, personalized precision medicine framework for obesity. This review aims to provide novel perspectives for understanding the molecular mechanisms underlying obesity and to establish a solid theoretical foundation for developing lncRNA-targeted precision medicine strategies against obesity and its associated metabolic complications.

ObjectiveTo evaluate the predictive value of epicardial adipose tissue （EAT） parameters for microvascular obstruction （MVO） formation in patients with ST segment elevation myocardial infarction （STEMI） using cardiac magnetic resonance quantification. MethodsA total of 139 STEMI patients were included in this study， and various parameters such as EAT thickness， volume， and mass index were measured utilizing cardiac magnetic resonance. All included patients were divided into MVO group and non-MVO group according to whether MVO occurred. Differences in EAT related parameters between two groups were compared and correlation analysis was applied to evaluate the correlation between quantitative indicators of EAT and indicators such as infarct size and ejection fraction. Logistic regression analysis was used to identify the relevant risk factors for MVO formation. Receiver Operating Characteristic （ROC） curve analysis was performed to assess the predictive value of the epicardial adipose tissue （EAT） quality index and other indicators for the occurrence of MVO. ResultsCompared with non MVO group， patients in MVO group presented with higher peak troponin T levels， increase of neutrophil lymphocyte ratio （NLR） and C-reactive protein （CRP）， larger infarct size and compromised left ventricular ejection fraction （LVEF） （P<0.05）. Total EAT volume， EAT mass index， left atrioventricular EAT volume， left atrioventricular EAT mass index and thickness of EAT in the left atrioventricular groove were significantly higher in patients with MVO. Multivariate Logistic regression analysis demonstrated that NLR， peak troponin T levels and left atrioventricular EAT mass index were independent predictors of MVO. The ROC curve suggested that the left atrioventricular EAT mass index had the highest predictive power for MVO formation in STEMI patients. ConclusionThe parameters of EAT quantified by cardiac magnetic resonance serve as imaging biomarkers for predicting MVO formation in STEMI patients. These metrics enable risk stratification post-myocardial infarction and facilitate early identification of high-risk individuals， thereby supporting personalized therapeutic decision-making.

Despite significant advances in the field of critical care medicine over the past three decades, veno-arterial extracorporeal membrane oxygenation (V-A ECMO) remains the primary temporary mechanical circulatory support modality for patients with acute severe circulatory failure. With the accumulation of clinical experience and the increasing maturity of operational techniques in V-A ECMO, its technical management—particularly hemodynamic management—has become a key factor influencing patient outcomes. To further improve patient survival, the Chinese Critical Care Ultrasound Study Group, in collaboration with the Hemodynamic Therapy of Critical Care Collaborative Group and the Critical Care Medicine Branch of the China International Exchange and Promotive Association for Medical and Health Care, organized experts in critical care medicine to develop the Consensus on Hemodynamic Management in Adult Veno-Arterial Extracorporeal Membrane Oxygenation (2026 Edition). Based on years of clinical experience and the latest evidence-based medical evidence, this consensus formulates 15 systematic recommendations covering the entire process of V-A ECMO, including initiation, management during support, and weaning, aiming to promote standardized application of hemodynamic management in V-A ECMO.

[摘 要] 嵌合抗原受体T细胞（CAR-T细胞）疗法在血液系统恶性肿瘤中显示出显著疗效，但传统体外制备存在流程复杂、周期长和成本高等局限。体内CAR-T细胞通过递送载体在患者体内直接重编程T细胞，有望简化制造流程并提高治疗可及性。慢病毒载体具有载荷容量较大、可稳定整合和生产体系相对成熟等优势，但其天然或假型化包膜的广谱嗜性可能导致非靶细胞转导和安全性风险。本文综述水疱性口炎病毒G蛋白（VSV-G）、Cocal病毒包膜蛋白（COCV-G）、辛德比斯病毒及麻疹病毒/尼帕病毒包膜等假型化与去受体化工程策略，讨论CD3、TCR、CD4、CD8和CD7等靶向受体的选择及CD2/CD28共刺激信号整合，并梳理相关临床前研究和早期临床转化进展。现有证据表明，靶向慢病毒可在体内生成具有抗肿瘤活性的CAR-T细胞，但仍需解决插入突变、脱靶转导、免疫原性、剂量控制和规模化生产等问题。本文旨在为下一代体内CAR-T细胞递送系统的设计与转化提供参考。

Objective To investigate the effects of Xuetong capsule on blood lipids and liver lesion in hyperlipidemic model animals. Methods Sixty ICR mice were randomly divided into six groups. The normal control group was fed with normal diet, the other groups were fed with high-fat diet to induce hyperlipidemia. After four weeks feeding, the three groups were given low, middle, and high doses of Xuetong capsules （0.5, 1.0, and 2.0 g/kg） by gavage, and the positive drug control group was given atorvastatin calcium （1.5 mg/kg） by gavage. The model group was given solvent （0.5% carboxymethyl cellulose sodium）. After treatment for 8 weeks, the body weight, organ index, blood lipids, blood glucose and liver function index were measured. The liver oil red staining was used to determine the lipid droplet content, and quantitative PCR was used to detect the expression of inflammatory factors TNF-α, IL-6, and IL-1β. Results The body weight, the weight of liver and spleen were significantly increased by high-fat diet. High-fat diet increased the organ indexes of the liver and spleen, the degree of liver oil red staining, and also significantly increased the levels of glucose, triglyceride （TG）, cholesterol （CHOL）, and low-density lipoprotein cholesterol （LDL-C） in serum. Compared with the model group, the level of TG has no significant change in low, middle and high doses groups. The level of CHOL in serum was reduced by Xuetong capsule with a dose dependent manner. There were significant difference between the model group and middle, high doses groups. The results of LDL-C were similar, the level of LDL-C was significantly reduced by middle and high doses groups [middle dose (0.55±0.21) mmol/L, high dose (0.52±0.22) mmol/L vs (0.81±0.29) mmol/L in model group, P<0.05]. Compared with the normal control, there was no significant difference in HDL-C levels between the high-fat model and each drug-treated group. Liver function showed that Xuetong capsules significantly reduced the degree of liver oil red staining and decreased the level of alanine aminotransferase （ALT） induced by high-fat diet. The body weight, the weight and organ indexes of liver and spleen were significantly reduced by positive drug control group. The levels of CHOL, LDL-C, and TG, and the degree of liver oil red staining were also significantly reduced in positive drug control group. Further studies have shown that high dose of Xuetong capsules significantly reduced the expression of TNF-α and IL-6 induced by high-fat diet （P<0.05）, while the reduction of IL-1β was not so significant （P>0.05）. Conclusion Xuetong capsules significantly reduced the body weight of animals with high fat, liver size, fat deposition, inflammatory damage and also significantly reduced blood lipid CHOL and LDL-C levels and transaminase elevation. The above effects may be related to Xuetong capsules reducing the expression of inflammatory factors such as TNF-α and IL-6 in the liver.

Objective To investigate the effects of Xuetong capsule on blood lipids and liver lesion in hyperlipidemic model animals. Methods Sixty ICR mice were randomly divided into six groups. The normal control group was fed with normal diet, the other groups were fed with high-fat diet to induce hyperlipidemia. After four weeks feeding, the three groups were given low, middle, and high doses of Xuetong capsules （0.5, 1.0, and 2.0 g/kg） by gavage, and the positive drug control group was given atorvastatin calcium （1.5 mg/kg） by gavage. The model group was given solvent （0.5% carboxymethyl cellulose sodium）. After treatment for 8 weeks, the body weight, organ index, blood lipids, blood glucose and liver function index were measured. The liver oil red staining was used to determine the lipid droplet content, and quantitative PCR was used to detect the expression of inflammatory factors TNF-α, IL-6, and IL-1β. Results The body weight, the weight of liver and spleen were significantly increased by high-fat diet. High-fat diet increased the organ indexes of the liver and spleen, the degree of liver oil red staining, and also significantly increased the levels of glucose, triglyceride （TG）, cholesterol （CHOL）, and low-density lipoprotein cholesterol （LDL-C） in serum. Compared with the model group, the level of TG has no significant change in low, middle and high doses groups. The level of CHOL in serum was reduced by Xuetong capsule with a dose dependent manner. There were significant difference between the model group and middle, high doses groups. The results of LDL-C were similar, the level of LDL-C was significantly reduced by middle and high doses groups [middle dose (0.55±0.21) mmol/L, high dose (0.52±0.22) mmol/L vs (0.81±0.29) mmol/L in model group, P<0.05]. Compared with the normal control, there was no significant difference in HDL-C levels between the high-fat model and each drug-treated group. Liver function showed that Xuetong capsules significantly reduced the degree of liver oil red staining and decreased the level of alanine aminotransferase （ALT） induced by high-fat diet. The body weight, the weight and organ indexes of liver and spleen were significantly reduced by positive drug control group. The levels of CHOL, LDL-C, and TG, and the degree of liver oil red staining were also significantly reduced in positive drug control group. Further studies have shown that high dose of Xuetong capsules significantly reduced the expression of TNF-α and IL-6 induced by high-fat diet （P<0.05）, while the reduction of IL-1β was not so significant （P>0.05）. Conclusion Xuetong capsules significantly reduced the body weight of animals with high fat, liver size, fat deposition, inflammatory damage and also significantly reduced blood lipid CHOL and LDL-C levels and transaminase elevation. The above effects may be related to Xuetong capsules reducing the expression of inflammatory factors such as TNF-α and IL-6 in the liver.

ObjectiveHepatocellular carcinoma (HCC) represents 90% of all primary liver cancers. The main risk factors associated with HCC include viral hepatitis (B and/or C), alcohol abuse, and metabolic dysfunction-associated steatotic liver disease (MASLD), which progressively advance to liver fibrosis, cirrhosis, and ultimately evolve into HCC. Surgical resection represents the most effective treatment for HCC, while recent advances in immunotherapy, including immune checkpoint inhibitors and adoptive cell therapies, have provided improved treatment prospects for patients with unresectable HCC. However, the complex metabolic heterogeneity of HCC limits the therapeutic efficacy. Metabolic intermediates acyl-CoA not only provide energy and substrates for numerous biochemical reactions but also serve as donors for protein lysine acylation, a major class of post-translational modification (PTM). Therefore, a deeper understanding of the molecular mechanisms underlying protein lysine acylation and hepatocarcinogenesis is urgently needed. MethodsThe levels of protein lysine acylation and silence information regulator 5 (SIRT5) expression levels in clinical HCC samples were analyzed by Western blot. Quantitative malonylome and succinylome of HCC samples were analyzed by antibody-based affinity enrichment coupled with tandem mass spectrometry. The proliferation of HCC cells was analyzed with Cell Counting Kit-8 (CCK-8) assays, the apoptosis was quantified by Annexin V-FITC/propidium iodide (PI) staining coupled with flow cytometry, and the ability of cells to migrate was assayed by Transwell assays. The enzymatic activity of glutathione S-transferase Mu 1 (GSTM1) was quantified. Transgenic mice with hepatic overexpression of SIRT5 were constructed using CRISPR-Cas9, and primary hepatocarcinogenesis was induced by administration of diethylnitrosamine. ResultsWestern blot analysis indicated that the expression level of SIRT5 was elevated in clinical samples from HCC patients, and the levels of lysine malonylation, glutarylation, and succinylation were significantly reduced in HCC tissues. Knockout of SIRT5 in MHCC-97H and MHCC-97L hepatoma cells suppressed cell proliferation, and increased the percentage of apoptotic cells significantly. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses of the differentially malonylome and succinylome of HCC samples revealed significant enrichment in two major classes of biological processes: core energy metabolism (e.g., glycolysis/gluconeogenesis, tricarboxylic acid metabolic process, fatty acid beta oxidation) and detoxification and oxidative stress response (e.g., response to toxic substance, chemical carcinogenesis, reactive oxygen species (ROS)). SIRT5 removes malonylation from lysine residues in GSTM1 and restores its detoxification activity, which is crucial for the survival of hepatocytes under stressed conditions. More importantly, in vivo experiment indicated that hepatic-specific overexpression of SIRT5 in mice accelerated diethylnitrosamine-induced liver fibrosis and hepatocarcinogenesis, indicating the critical role of SIRT5 in HCC progression. ConclusionThis study highlights the previously unrecognized SIRT5-GSTM1 axis as a key regulator in hepatocarcinogenesis, and suggests a potential target for the treatment of patients with HCC.