Objective To explore the relationship between circadian rhythm genes and the occurrence, development, prognosis, and tumor microenvironment (TME) of lung adenocarcinoma (LUAD). Methods The Cancer Genome Atlas data were used to evaluate the expression, copy number variation, and somatic mutation frequency of circadian gene sets in LUAD. Gene ontology, Kyoto encyclopedia of genes and genomes, and gene set enrichment analysis were used to explore the potential mechanisms by which circadian rhythm genes affected LUAD progression. Cox regression, least absolute shrinkage and selection operator regression, support vector machine recursive feature elimination, and random forest screened circadian genes and established prognostic models, and on this basis constructed nomogram to predict patients’ 1-, 3-, and 5-year survival rates. Kaplan-Meier survival curves, receiver operating characteristic (ROC) curves, and time-dependent ROC curves were drawn to evaluate the predictive ability of the model, and the external dataset of GEO further verified the prognostic value of the prediction model. In addition, we evaluated the association of the prognostic model with immune cells and immune checkpoint genes. Single cell RNA sequencing (scRNA-seq) analysis was used to explore the molecular characteristics between prognostically relevant circadian genes and different immune cell populations in TME. Results Differentially expressed circadian rhythm genes were mainly enriched in biological processes related to cGMP-PKG signaling pathway, lipid and atherosclerosis, and JAK-STAT signaling pathway. Seven circadian rhythm genes: LGR4, CDK1, KLF10, ARNTL2, RORA, NPAS2, PTGDS were screened out, and a RiskScore model was established. According to the median RiskScore, samples were divided into a high-risk group and a low-risk group. Compared with patients in the low-risk group, patients in the high-risk group showed a poorer prognosis (P<0.001). Immunological characterization analysis showed that there were differences in the infiltration of multiple immune cells between the low-risk group and high-risk group. Most immune checkpoint genes had higher expression levels in the high-risk group than those in the low-risk group, and RiskScore was positively correlated with the expression of CD276, TNFSF4, PDCD1LG2, CD274, and TNFRSF9, and negatively correlated with the expression of CD40LG and TNFSF15. The scRNA-seq analysis showed that RORA and KLF10 were mainly expressed in natural killer cells. Conclusion The prognostic model based on seven feature circadian rhythm genes has certain predictive value for predicting survival of LUAD patients. Dysregulated expression of circadian genes may regulate the occurrence, progression as well as prognosis of LUAD through affecting TME, which provides a possible direction for finding potential strategies for treating LUAD from the perspective of mechanism by which circadian disorder affects immune cells.

Traditional Chinese medicine （TCM） diagnostics is a discipline that studies the basic theories and fundamental skills of diagnostic methods， disease diagnosis， and differentiation in accordance with the theories of TCM. The artificial intelligence （AI） technology has gained remarkable achievements in the intelligentization of the four diagnostic methods in TCM and the standardization of differentiation and diagnosis. However， it still faces many challenges. The standardization of clinical data collection is difficult， and the data quality is uneven， which affects the usability of the data. The integration of the four diagnostic information is insufficient. Most instruments can only collect data from a single diagnostic method， lacking overall integrity. The scientific nature of the diagnostic model needs to be improved. The existing models lack dynamics and the reasoning logic of TCM differentiation. The accuracy of intelligent methods needs to be improved， and the existing evaluation indicators cannot fully reflect the practical application effect of the model. Furthermore， the relevant laws and regulations are still not perfect， and data security and patient privacy lack guarantees. The cultivation of compound talents is insufficient， and there is a lack of interdisciplinary talents who are proficient in both TCM and AI. On this basis， this paper expounded on the current development status， difficulties， and bottlenecks of AI in TCM diagnosis and then explored the development trend of AI in the field of TCM diagnosis. It proposed solutions such as optimizing the data collection process， constructing multimodal diagnostic models， facilitating multi-disciplinary exchanges and cooperation， improving laws and regulations， and cultivating compound talents. It is hoped that modern， standardized， normalized， and intelligent TCM diagnosis can be further promoted， thereby providing new impetus and methods for the inheritance and innovation of TCM.

Chronic heart failure （CHF） is a group of complex clinical syndromes caused by abnormal changes in the structure and/or function of the heart due to various reasons， resulting in disorders of ventricular contraction and/or diastole. CHF is a condition where primary diseases such as coronary heart disease， hypertension and pulmonary heart disease recur frequently and persist for a long time， presenting blood stasis in meridians and collaterals， stagnation of water and dampness， and accumulation of Qi in collaterals. Its pathogenesis is complex and may involve myocardial energy metabolism disorders， oxidative stress responses， myocardial cell apoptosis， autophagy， inflammatory responses， etc. According to the theory of restraining hyperactivity to acquire harmony， we believe that under normal circumstances， the adenosine monophosphate-activated protein kinase （AMPK） signaling pathway functions normally， maintaining human physiological activities and energy metabolism. Under pathological conditions， the AMPK signaling pathway is abnormal， causing energy metabolism disorders， inflammatory responses， and myocardial fibrosis. Traditional Chinese medicine （TCM） can regulate the AMPK signaling pathway through multiple mechanisms， targets， and effects， effectively curbing the occurrence and development of CHF. It has gradually become a research hotspot in the prevention and treatment of this disease. Guided by the theory of TCM， our research group， through literature review， summarized the relationship between the AMPK pathway and CHF and reviewed the research progress in the prevention and control of CHF with TCM active ingredients， TCM compound prescriptions， and Chinese patent medicines via regulating the AMPK pathway. The review aims to clarify the mechanism and targets of TCM in the treatment of CHF by regulating the AMPK pathway and guide the clinical treatment and drug development for CHF.

Chronic heart failure （CHF） refers to a clinical syndrome in which the function or structure of the heart is changed due to damage to the original myocardium， resulting in reduced pumping and/or filling functions of the heart. In recent years， the mechanisms， pathways， and targets of traditional Chinese medicine （TCM） in the treatment of CHF have been continuously confirmed， and the application of TCM theories in guiding the syndrome differentiation and precise treatment of CHF is currently a research hotspot. On the basis of the syndrome differentiation and treatment in TCM， Professor LI Candong innovatively proposed the thinking of five differentiation： Disease differentiation， syndrome differentiation， pathogenesis differentiation， symptom differentiation， and individual differentiation. This article explores the clinical diagnosis and treatment of CHF from this thinking， emphasizing comprehensive syndrome differentiation， objective analysis， dynamic assessment， and individualized treatment. In terms of diagnosis， the first is to identify the disease name， cause， location， severity， and type of CHF， determine the type and its evolution， and clarify the process of transmission and transformation between deficiency and excess. Secondly， it is necessary to distinguish the authenticity， severity， primary and secondary， urgency and complexity of CHF syndromes， providing scientific guidance for syndrome differentiation and treatment. Thirdly， according to the symptoms and the principles of deficiency and excess， the physician should identify the core pathogenesis of CHF from the perspectives of Qi， blood， Yin， Yang， deficiency， stasis， phlegm， water， and toxins. Fourthly， from the macro， meso and micro levels， the physician should carefully distinguish the presence or absence， severity， authenticity， and completeness of the symptoms to guide the diagnosis and treatment process of CHF. Finally， personalized medication for CHF should be promoted based on the patient's gender， age， constitution， and living habits. In terms of treatment， based on the thinking of five differentiation， we propose that the treatment of CHF should integrate the disease and syndrome， clarify the pathogenesis， and apply precise treatment. The treatment should be people-oriented， staged， and typed， and the medication should be adjusted according to symptoms. This diagnostic and therapeutic approach is based on the holistic concept and syndrome differentiation and treatment， and combines the three causes for appropriate treatment， providing new ideas and insights for the diagnosis and treatment of CHF.

ObjectiveTo examine the influences of Shenfu injection on the endogenous metabolic byproducts in the myocardium of the rat model exhibiting chronic heart failure， thus deciphering the therapeutic mechanism of the Qi-reinforcing and Yang-warming method. MethodsSD rats were randomly allocated into a control group and a modeling group. Chronic heart failure with heart-Yang deficiency syndrome in rats was modeled by multi-point subcutaneous injection of isoproterenol， and the rats were fed for 14 days after modeling. The successfully modeled rats were randomized into model， Shenfu injection （6.0 mL·kg^-1）， and trimetazidine （10 mg·kg^-1） groups and treated with corresponding agents for 15 days. The control group and the model group were injected with equal doses of normal saline， and the samples were collected after the intervention was completed. Cardiac color ultrasound was performed. Hematoxylin-eosin （HE） staining was used to observe histopathological morphology， and the serum level of N-terminal pro-brain natriuretic peptide （NT-proBNP） was assessed by enzyme-linked immunosorbent assay （ELISA）. The mitochondrial morphological and structural changes of cardiomyocytes were observed by transmission electron microscopy， and the metabolic profiling was carried out by ultra high performance liquid chromatography-quantitative exactive-mass spectrometry （UHPLC-QE-MS）. Differential metabolites were screened and identified by orthogonal partial least squares-discriminant analysis （OPLS-DA） and other methods， and then the MetaboAnalyst database was used for further screening. The relevant biological pathways were obtained through pathway enrichment analysis. The receiver operating characteristic （ROC） curve was established to evaluate the diagnostic value of each potential biomarker for myocardial injury and the evaluation value for drug efficacy. ResultsThe results of color ultrasound showed that Shenfu Injection improved the cardiac function indexes of model rats （P<0.05）. The results of HE staining showed that Shenfu injection effectively alleviated the pathological phenomena such as myocardial tissue structure disorder and inflammatory cell infiltration in model rats. The results of ELISA showed that Shenfu injection effectively regulated the serum NT-proBNP level in the model rats. Transmission electron microscopy （TEM） showed that Shenfu injection effectively restored the mitochondrial morphological structure. The results of metabolomics showed that the metabolic phenotypes of myocardial samples presented markedly differences between groups. Nine differential metabolites could be significantly reversed in the Shenfu injection group， involving three metabolic pathways： pyruvate metabolism， histidine metabolism， and citric acid cycle （TCA cycle）. The results of ROC analysis showed that the area under the curve （AUC） values of all metabolites were between 0.75 and 1.0， indicating that the differential metabolites had high diagnostic accuracy for myocardial injury， and the changes in their expression levels could be used as potential markers for efficacy evaluation. ConclusionShenfu injection significantly alleviated the damage of cardiac function， myocardium， and mitochondrial structure in the rat model of chronic heart failure with heart-Yang deficiency syndrome by ameliorating energy metabolism remodeling. Reinforcing Qi and warming Yang is a key method for treating chronic heart failure with heart-Yang deficiency syndrome.

ObjectiveTo conduct a theoretical study on the medical-rehabilitation integration. MethodsStarting from the background, objectives and content of the medical-rehabilitation integration, this study analyzed its innovative points from the dimensions of conceptual innovation, organizational innovation, model innovation and technological innovation. Results and ConclusionThe medical-rehabilitation integration is an innovation in medical services that takes conceptual innovation as the forerunner, organizational innovation as the foundation, model innovation as the carrier and technological innovation as the core.

Background Shift work is increasingly common in modern industries as economic globalization continues to advance, and has been associated with type 2 diabetes mellitus (T2DM). Objective To investigate the independent and interactive effects of shift work types and physical labor intensity on the risk of T2DM within an occupational cohort of petroleum workers, aiming to provide a scientific basis for reducing the risk of T2DM among workers engaged in shift work and physical labor. Methods This cohort study enrolled petroleum workers who underwent occupational health examinations at Karamay Central Hospital in Xinjiang from 2013 to 2015. Using stratified sampling, employees aged 20–60 years who had been actively employed and had been working in their current positions for at least one year were selected. A total of 3720 participants completed the baseline questionnaire survey and health examination, and follow-up was conducted in 2023. T2DM was diagnosed according to the 2020 Chinese Guidelines for the Prevention and Treatment of Type 2 Diabetes. Shift work type was categorized into fixed day shift, two-shift rotation, three-team two-shift rotation, four-team three-shift rotation, and other shift schedules. Physical labor intensity was classified as light, moderate, heavy, and extremely heavy according to the Classification of Physical Labor Intensity for Petroleum Field Operations (SY/T 6358—2008). Poisson regression models were used to estimate the associations of shift work type, physical labor intensity, and their joint exposure categories with T2DM risk after adjustment for potential confounders. Results A total of 3473 participants completed follow-up. Poisson regression analysis showed that shift work type was associated with T2DM risk. After adjustment for confounders, compared with fixed day shift workers, those engaged in two-shift rotation, three-team two-shift rotation, four-team three-shift rotation, and other shift schedules had higher risks of T2DM, with RRs of 2.17 (95%CI: 1.44, 3.27), 1.86 (95%CI: 1.16, 2.97), 1.85 (95%CI: 1.17, 2.93), and 2.15 (95%CI: 1.20, 3.88), respectively. T2DM risk also differed across physical labor intensity groups, with the extremely heavy group showing the highest risk (RR=2.26, 95%CI: 1.44, 3.56), followed by the heavy group (RR=1.91, 95%CI: 1.29, 2.82). Compared with workers exposed to fixed day shift + light intensity, increased T2DM risks were observed in those exposed to fixed day shift + heavy intensity (RR=2.38, 95%CI: 1.16, 4.72) or extremely heavy intensity (RR=2.64, 95%CI: 1.13, 5.82); two-shift rotation + light (RR=2.71, 95%CI: 1.11, 6.14), moderate (RR=3.38, 95%CI: 1.43, 7.34), heavy (RR=3.61, 95%CI: 1.52, 7.84), or extremely heavy intensity (RR=4.93, 95%CI: 1.87, 11.12); three-shift two-team rotation + light (RR=2.75, 95%CI: 1.14, 6.19), moderate (RR=3.08, 95%CI: 1.14, 7.51), or heavy/extremely heavy intensity (RR=4.06, 95%CI: 1.77, 8.50); four-shift three-team rotation + heavy/extremely heavy intensity (RR=3.89, 95%CI: 1.78, 7.84); and other shift types + heavy/extremely heavy intensity (RR=4.57, 95%CI: 1.55, 11.30). Conclusion This study demonstrates that various types of shift work significantly increase the risk of T2DM, and that concurrent exposure to high physical labor intensity exacerbates this risk. Regular blood glucose monitoring and targeted health interventions are recommended for workers exposed to rotating shift schedules and high physical work intensity.

Chronic heart failure is the terminal stage of various cardiovascular diseases， and its occurrence and progression are closely associated with impaired myocardial energy metabolism and mitochondrial dysfunction. Mitochondrial dynamics maintain cardiomyocyte energy homeostasis through fusion， fission， and quality control. Disruption of mitochondrial dynamics may lead to mitochondrial network fragmentation， insufficient adenosine triphosphate （ATP） production， enhanced oxidative stress， and activation of ferroptosis. The theory of Yin at peace and Yang being compact originates from the Chapter Discussion on Interrelationship between Life and Nature in the Plain Questions， and emphasizes that the dynamic balance between Yin and Yang is fundamental to normal life activities. According to this theory and mitochondrial dynamics， this paper explores the pathogenic connotations of Yang failing to remain compact and Yin failing to remain at peace in chronic heart failure. In traditional Chinese medicine （TCM）， chronic heart failure is characterized by deficiency in origin and excess in manifestation. Deficiency of heart Qi and Yang is the root， often accompanied by Yang deficiency or Yin deficiency， while blood stasis， phlegm turbidity， and water retention constitute the manifestations. When Yang fails to remain compact， cardiac propulsion becomes weakened and Qi transformation is impaired. When Yin fails to remain at peace， Yin pathogens are generated and Yin essence is consumed. At the microscopic level， imbalance of mitochondrial dynamics is manifested as insufficient mitochondrial fusion， excessive fission， reduced energy production， excessive ROS generation， expansion of the labile iron pool， and accumulation of lipid peroxidation products， which contribute to Yin-Yang imbalance in chronic heart failure. Furthermore， by integrating formula-pattern correspondence and the approach of inferring patterns from formula effects， this paper summarizes the possible molecular phenotypes corresponding to different syndrome elements and syndrome patterns. It further proposes keeping Yang compact and keeping Yin at peace as therapeutic principle for chronic heart failure， aiming to restore energy metabolism homeostasis by regulating mitochondrial dynamics with TCM and to provide new perspectives and ideas for the treatment of chronic heart failure.

Objective To determine the prognostic biomarkers and new therapeutic targets of the lung adenocarcinoma (LUAD), based on which to establish a prediction model for the survival of LUAD patients. Methods An integrative analysis was conducted on gene expression and clinicopathologic data of LUAD, which were obtained from the UCSC database. Subsequently, various methods, including screening of differentially expressed genes (DEGs), Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis and Gene Set Enrichment Analysis (GSEA), were employed to analyze the data. Cox regression and least absolute shrinkage and selection operator (LASSO) regression were used to establish an assessment model. Based on this model, we constructed a nomogram to predict the probable survival of LUAD patients at different time points (1-year, 2-year, 3-year, 5-year, and 10-year). Finally, we evaluated the predictive ability of our model using Kaplan-Meier survival curves, receiver operating characteristic (ROC) curves, and time-dependent ROC curves. The validation group further verified the prognostic value of the model. Results The different-grade pathological subtypes' DEGs were mainly enriched in biological processes such as metabolism of xenobiotics by cytochrome P450, natural killer cell-mediated cytotoxicity, antigen processing and presentation, and regulation of enzyme activity, which were closely related to tumor development. Through Cox regression and LASSO regression, we constructed a reliable prediction model consisting of a five-gene panel (MELTF, MAGEA1, FGF19, DKK4, C14ORF105). The model demonstrated excellent specificity and sensitivity in ROC curves, with an area under the curve (AUC) of 0.675. The time-dependent ROC analysis revealed AUC values of 0.893, 0.713, and 0.632 for 1-year, 3-year, and 5-year survival, respectively. The advantage of the model was also verified in the validation group. Additionally, we developed a nomogram that accurately predicted survival, as demonstrated by calibration curves and C-index. Conclusion We have developed a prognostic prediction model for LUAD consisting of five genes. This novel approach offers clinical practitioners a personalized tool for making informed decisions regarding the prognosis of their patients.

Chronic heart failure(CHF)is the end-stage of a variety of heart diseases with complex pathogenesis,which may involve myocardial fibrosis,inflammation reaction and oxidative stress.Chinese materia medica has the characteristics of multiple pathways,levels,and targets in the treatment of CHF,with significant therapeutic effects.Based on the TCM theories,this article described the research progress of TCM and its effective components,TCM compounds and Chinese patent medicines in regulating TGF-β signaling pathway in the treatment of CHF,and summarized the mechanism and target of TCM regulating TGF-β pathway in the treatment of CHF,including inhibiting myocardial fibrosis,reducing inflammatory reaction and apoptosis,so as to provide a reference for the related research of Chinese materia medica in the treatment of CHF.