Chronic heart failure （CHF） is a complex clinical syndrome caused by ventricular dysfunction， with mitochondrial energy metabolism disorder being a critical factor in disease progression. Heart-Yang deficiency syndrome， as the core pathogenesis of CHF， persists throughout the disease course. Insufficiency of heart-Yang leads to weakened warming and propelling functions， resulting in the accumulation of phlegm-fluid， blood stasis， and dampness. This eventually causes Qi stagnation with phlegm obstruction and blood stasis with water retention， forming a vicious cycle that exacerbates disease progression. According to the theory of reinforcing Yang， the clinical experience of the traditional Chinese medicine （TCM） master Tang Zuxuan in treating CHF with heart-Yang deficiency syndrome， and achievements from molecular biological studies， this study innovatively proposes an integrated research framework of "TCM syndrome differentiation and staging-mitochondrial metabolism mechanisms-intervention with Yang-reinforcing prescriptions" which is characterized by the integration of traditional Chinese and Western medicine. Heart-Yang deficiency syndrome is classified into mild （Stage Ⅰ-Ⅱ）， severe （Stage Ⅲ）， and critical （Stage Ⅳ） stages. The study elucidates the precise correlations between the pathogenesis of each stage and mitochondrial metabolism disorders from theoretical， pathophysiological， and therapeutic perspectives. The mild stage is characterized by impaired biogenesis and substrate-utilization imbalance， corresponding to heart-Yang deficiency and phlegm-fluid aggregation. Linggui Zhugantang and similar prescriptions can significantly improve the expression of peroxisome proliferator-activated receptor gamma co-activator-1α（PGC-1α）/silent information regulator 2 homolog 1 （SIRT1） and ATPase activity. The severe stage centers on oxidative stress and structural damage， reflecting Yang deficiency with water overflow and phlegm-blood stasis intermingling. At this stage， Zhenwu Tang and Qiangxin Tang can effectively mitigate oxidative stress damage， increase adenosine triphosphate （ATP） content， and repair mitochondrial structure. The critical stage arises from calcium overload and mitochondrial disintegration， leading to the collapse of Yin-Yang equilibrium. At this stage， Yang-restoring and crisis-resolving prescriptions such as Fuling Sini Tang and Qili Qiangxin capsules can inhibit abnormal opening of the mitochondrial permeability transition pore （MPTP）， reduce cardiomyocyte apoptosis rate， and protect mitochondrial function. By summarizing the characteristics of mitochondrial energy metabolism disorders at different stages of CHF， this study explores the application of the theory of reinforcing Yang in treating heart-Yang deficiency syndrome and provides new insights for the clinical diagnosis and treatment of CHF.

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.

Electroencephalography (EEG) is a non-invasive neurophysiological monitoring technique. It records the electrical activity of the cerebral cortex using electrodes placed on the scalp surface. Owing to its high safety, portability, and millisecond-level temporal resolution, EEG has been widely utilized in a variety of fields, including clinical diagnosis, brain-computer interfaces (BCIs), and cognitive neuroscience research. However, due to its microvolt-level amplitude, EEG is highly susceptible to various artifacts, including electrooculographic (EOG), electrocardiographic (ECG), electromyographic (EMG), and power line interference (PLI). These artifacts can obscure genuine neural activity and introduce spurious electrophysiological features. Consequently, they may compromise EEG signal quality, thereby reducing the reliability of downstream analyses. To address this issue, numerous EEG artifact removal methods have been developed, including both traditional denoising techniques and deep learning-based approaches. Traditional EEG denoising methods have long served as the primary solutions for artifact removal. Representative approaches include filtering, regression, and blind source separation. Although these methods have demonstrated effectiveness in specific scenarios, they suffer from several inherent limitations. Filtering assumes that artifacts and EEG signals can be separated in the frequency domain, but many artifacts, such as EOG and EMG, overlap with EEG spectra, which may lead to the loss of valuable neural information. Regression methods require high-quality artifact references to estimate and subtract contaminations, limiting their effectiveness in reference-free scenarios. Blind source separation can remove artifacts without external references, but it typically requires the number of EEG channels to exceed the number of sources, restricting its application in single- or low-channel EEG recordings. Deep learning-based EEG denoising methods address these limitations effectively. First, they learn the nonlinear mapping between contaminated and clean EEG directly from data in an end-to-end manner. This approach does not rely on assumptions about spectral separability, thereby preserving neural activity more completely. Second, the reference information is incorporated during the training phase, allowing the trained model to perform artifact removal independently without external references. Third, deep learning models can be flexibly designed to accommodate various recording setups, achieving robust denoising for both high-density and single-channel EEG. Collectively, these advantages enable deep learning-based methods to overcome the main challenges of traditional approaches, providing more accurate and reliable EEG signal recovery. The superior denoising performance of deep learning-based EEG denoising methods has attracted increasing attention in EEG artifact removal research. As a result, many deep learning-based denoising methods have been developed and successfully applied in neural engineering areas. However, a systematic review of the techniques and applications in this field is still lacking. To address this gap, this paper reviews recent advances in deep learning-based EEG denoising from four perspectives: technical principle, benchmark dataset, denoising model, and evaluation method. Representative applications in neural signal analysis and BCI decoding are also summarized. Furthermore, the advantage, existing challenge, and future research direction of deep learning-based EEG denoising are discussed. This review aims to provide valuable theoretical insights and technical guidance for researchers. It is also expected to promote further advances and broader applications of deep learning-based EEG denoising techniques.

BACKGROUND:The stemness index may be associated with the prognosis and immune infiltration of sarcoma,but the specific regulatory mechanism and characteristic genes have yet to be fully elucidated. OBJECTIVE:To investigate the correlation between stem cells and prognosis as well as immune infiltration in sarcoma employing the gene stemness index model and to identify the ferroptosis signature genes associated with sarcoma stem cells. METHODS:The sarcoma RNA sequencing data and related clinical information were obtained from the Cancer Genome Atlas(TCGA).The sarcoma RNA sequencing data were grouped using the sarcoma stemness index.Survival data were used to analyze prognosis between groups.Differentially expressed genes were obtained for pathway enrichment and immune infiltration analysis.Ferroptosis-related differential genes were used to construct a protein interaction network and analyze prognostic correlation.Rhabdomyosarcoma cell lines were cultured and divided into adherent cell group and stem cell group.The adherent cell group received no intervention,while the stem cell group was treated with serum-free culture to enrich stem cells in rhabdomyosarcoma cells.qRT-PCR was used to evaluate stemness markers,ferroptosis-related genes,and mRNA expression of ferroptosis-related markers in the cells. RESULTS AND CONCLUSION:(1)Patients were divided into high and low stemness index groups based on the median stemness index.The progression-free survival of patients in the high stemness index group was lower than that in the low stemness index group by disease risk prediction,suggesting poor prognosis.(2)According to GO and KEGG analysis,the groups with high and low stemness indices differed from one another.There were differences in immune infiltration between the high and low stemness index groups.Nine of the 23 ferroptosis-related genes in the differential genes have the potential to establish a highly correlated network of protein interactions.Patients with high expression of IDO1,IFNG,and AQP5 have a better prognosis,while those with high expression of CA9 have a poor prognosis.(3)The qRT-PCR results demonstrated a significant upregulation of stem cell-related markers NANOG,SOX2,and OCT4 mRNA expressions in the stem cell group compared to the adherent cell group(P<0.05).Compared to the adherent cell group,the stem cell group exhibited decreased mRNA expression level of ferroptosis-related marker SLC7A11(P<0.05)while showing increased levels of ACSL4,GPX4,FTH1,and COX2(P<0.05).Compared to the adherent cell group,the stem cell group displayed decreased mRNA expression level of differentially expressed gene CA9 alongside elevated levels of IDO1,IFNG,and AQP5(P<0.05).Stem cells were strongly associated with sarcoma survival and ferroptosis by bioinformatics analysis and experimental verification.Sarcoma stem cells have aberrant expression of CA9,IDO1,IFNG,and AQP5,which may serve as new targets for sarcoma therapy as well as diagnostic indicators.

ObjectiveThis study aims to explore the mechanism and targets of Shenfu Injection in regulating glycolysis to intervene in myocardial fibrosis in chronic heart failure based on the hypoxia-inducible factor-1α （HIF-1α）/ 6-phosphofructo-2-kinase/fructose-2，6-bisphosphatase 3 （PFKFB3） signaling pathway. MethodsA rat model of chronic heart failure was established by subcutaneous injection of isoproterenol （ISO）. After successful modeling， the rats were randomly divided into the Sham group， Model group， Shenfu injection （SFI， 6 mL·kg^-1） group， and inhibitor （3PO， 35 mg·kg^-1） group， according to a random number table， and they were treated for 15 days. Cardiac function was evaluated by echocardiography， and serum N-terminal pro-brain natriuretic peptide （NT-proBNP） levels were detected by enzyme-linked immunosorbent assay （ELISA）. Fasting body weight and heart weight were measured， and the heart index （HI） was calculated. Pathological changes in myocardial tissue were observed by hematoxylin-eosin （HE） and Masson staining， and the fibrosis rate was calculated. Biochemical assays were used to determine serum levels of glucose （GLU）， lactic acid （LA）， and pyruvic acid （PA）. Western blot was used to analyze the expression of proteins related to the HIF-1α/PFKFB3 signaling pathway （HIF-1α and PFKFB3）， glycolysis-related proteins （HK1， HK2， PKM2， and LDHA）， and fibrosis-related proteins ［transforming growth factor （TGF）-β₁， α-smooth muscle actin （α-SMA）， and Collagen type Ⅰ α1 （ColⅠA1）］. Real-time PCR was used to detect the mRNA expression of HIF-1α and PFKFB3 in myocardial tissue. ResultsCompared with the Sham group， the Model group showed significantly decreased left ventricular ejection fraction （LVEF）， left ventricular shortening fraction （LVFS）， interventricular septal thickness （IVSd）， and interventricular septal strain （IVSs） （P<0.05）， while left ventricular internal dimension at end-diastole （LVDd） and end-systole （LVIDs） were increased （P<0.05）. Serum NT-proBNP levels were significantly increased （P<0.01）， and body weight was decreased. Heart weight was increased， and the HIT index was increased （P<0.05）. Myocardial tissue exhibited inflammatory cell infiltration and collagen fiber deposition， and the fibrosis rate was significantly increased （P<0.05）. Serum GLU was decreased （P<0.05）， while LA and PA levels were increased （P<0.05）. Protein expressions of HIF-1α， PFKFB3， HK1， HK2， PKM2， LDHA， TGF-β₁， α-SMA， and ColⅠA1， as well as the mRNA expression of HIF-1α and PFKFB3 were increased （P<0.05）. Compared with the Model group， both the SFI group and 3PO groups showed significant improvements in LVEF， LVFS， IVSd， and IVSs （P<0.05） and decreases in LVDd， LVIDs， and NT-proBNP levels （P<0.05）. Body weight was significantly increased. Heart weight was significantly decreased， and the HIT index was significantly decreased （P<0.05）. Inflammatory cell infiltration， collagen fiber deposition， and the fibrosis rate were significantly decreased （P<0.05）. Serum GLU levels were significantly increased （P<0.05）， while LA and PA levels were decreased （P<0.05）. Expressions of glycolysis-related proteins， fibrosis-related proteins， and HIF-1α/PFKFB3 pathway-related proteins and mRNAs were significantly suppressed （P<0.05）. ConclusionSFI improves cardiac function in chronic heart failure by downregulating the expression of HIF-1α/PFKFB3 signaling pathway-related proteins， regulating glycolysis， and inhibiting myocardial fibrosis.

Chronic heart failure （CHF）， as the terminal stage of various cardiovascular diseases， is characterized by a prolonged clinical course and recurrent exacerbations. The coexistence of CHF with anxiety and depression falls under the category of psycho-cardiological diseases. Studies have demonstrated that anxiety and depression are closely associated with adverse outcomes including elevated risks of cardiovascular events and increased mortality in CHF patients. The complex pathogenesis poses challenges to modern medical treatments， which often face limited efficacy and concurrent side effects. According to the theory of Shaoyang Pivot in traditional Chinese medicine （TCM）， this paper elucidates that obstructed Shaoyang Pivot—manifested as Qi transformation disorder， dysregulated fluid metabolism， and abnormal distribution of ministerial fire-serves as a critical pathological basis for CHF with anxiety and depression. Bupleuri Radix-based Formulas， such as Xiao Chaihu Tang， Chaihu Guizhi Tang， and Chaihu Jia Longgu Muli Tang， aim to harmonize lesser Yang to restore the Qi transformation， activate Yang to promote water excretion， and redistribute ministerial fire， thus effectively alleviating pathological states such as Qi stagnation， blood stasis， water retention， and phlegm-fire disturbing the heart in CHF patients with anxiety and depression. Consequently， they mitigate symptoms of this psycho-cardiological disease. Mechanism studies have revealed that Bupleuri Radix-based formulas exhibit multi-target effects， including modulation of neurotransmitters， suppression of inflammatory responses， regulation of lipid metabolism， protection of cardiomyocytes， and improvement of the endothelial function. By interpreting the TCM pathogenesis of CHF with anxiety and depression from the theory of Shaoyang Pivot， this paper delves into the therapeutic principles and mechanisms of Bupleuri Radix-based formulas， providing a theoretical foundation for optimizing TCM diagnosis and treatment strategies for psycho-cardiological diseases.

OBJECTIVE: To investigate the effect of zedoarondiol on neovascularization of atherosclerotic (AS) plaque by exosomes experiment. METHODS: ApoE^-/- mice were fed with high-fat diet to establish AS model and treated with high- and low-dose (10, 5 mg/kg daily) of zedoarondiol, respectively. After 14 weeks, the expressions of anti-angiogenic protein thrombospondin 1 (THBS-1) and its receptor CD36 in plaques, as well as platelet activation rate and exosome-derived miR-let-7a were detected. Then, zedoarondiol was used to intervene in platelets in vitro, and miR-let-7a was detected in platelet-derived exosomes (Pexo). Finally, human umbilical vein endothelial cells (HUVECs) were transfected with miR-let-7a mimics and treated with Pexo to observe the effect of miR-let-7a in Pexo on tube formation. RESULTS: Animal experiments showed that after treating with zedoarondiol, the neovascularization density in plaques of AS mice was significantly reduced, THBS-1 and CD36 increased, the platelet activation rate was markedly reduced, and the miR-let-7a level in Pexo was reduced (P<0.01). In vitro experiments, the platelet activation rate and miR-let-7a levels in Pexo were significantly reduced after zedoarondiol's intervention. Cell experiments showed that after Pexo's intervention, the tube length increased, and the transfection of miR-let-7a minics further increased the tube length of cells, while reducing the expressions of THBS-1 and CD36. CONCLUSION Zedoarondiol has the effect of inhibiting neovascularization within plaque in AS mice, and its mechanism may be potentially related to inhibiting platelet activation and reducing the Pexo-derived miRNA-let-7a level.
Animals ; MicroRNAs/genetics* ; Exosomes/drug effects* ; Plaque, Atherosclerotic/genetics* ; Neovascularization, Pathologic/genetics* ; Human Umbilical Vein Endothelial Cells/metabolism* ; Humans ; Blood Platelets/drug effects* ; Apolipoproteins E/deficiency* ; Thrombospondin 1/metabolism* ; CD36 Antigens/metabolism* ; Platelet Activation/drug effects* ; Male ; Mice ; Mice, Inbred C57BL

Liver transplantation (LT) has become a standard treatment for end-stage liver diseases, and graft injury is intricately associated with poor prognosis. Granzyme B (GZMB) plays a vital role in natural killer (NK) cell biology, but whether NK-derived GZMB affects graft injury remains elusive. Through the analysis of single-cell RNA-sequencing data obtained from human LT grafts and the isolation of lymphocytes from mouse livers following ischemia-reperfusion injury (IRI), we demonstrated that 2NK cells with high expression of GZMB are enriched in patients and mice. Both systemically and liver-targeted depletion of NK cells led to a notable reduction in GZMB⁺ cell infiltration, subsequently resulting in diminished graft injury. Notably, the reconstitution of Il2rg ^-/- Rag2 ^-/- mice with purified Gzmb-KO NK cells demonstrated superior outcomes compared to those with wild-type NK cells. Crucially, global knockout of GZMB and pharmacological inhibition exhibited remarkable improvements in liver function in both mouse IRI and rat LT models. Moreover, a phosphorylated derivative of FDA-approved vidarabine was identified as an effective inhibitor of mouse GZMB activity by molecular dynamics, which could provide a potential avenue for therapeutic intervention. Therefore, targeting NK cell-derived GZMB during the LT process suggests potential therapeutic strategies to improve post-transplant outcomes.

Background: Maturity-onset diabetes of the young (MODY) due to variants of hepatocyte nuclear factor 1-beta (HNF1β) (MODY5) has not been well studied in the Chinese population. This study aimed to estimate its prevalence and evaluate the application of a clinical screening method (Faguer score) in Chinese early-onset diabetes (EOD) patients. Methods: Among 679 EOD patients clinically diagnosed with type 2 diabetes mellitus (age at diagnosis ≤40 years), the exons of HNF1β were sequenced. Functional impact of rare variants was evaluated using a dual-luciferase reporter system. Faguer scores ≥8 prompted multiplex ligation-dependent probe amplification (MLPA) for large deletions. Pathogenicity of HNF1β variants was assessed following the American College of Medical Genetics and Genomics (ACMG) guidelines. Results: Two rare HNF1β missense mutations (E105K and G454R) were identified by sequencing in five patients, showing functional impact in vitro. Another patient was found to have a whole-gene deletion by MLPA in 22 patients with the Faguer score above 8. Following ACMG guidelines, six patients carrying pathogenic or likely pathogenic variant were diagnosed with MODY5. The estimated prevalence of MODY5 in Chinese EOD patients was approximately 0.9% or higher. Conclusion MODY5 is not uncommon in China. The Faguer score is helpful in deciding whether to perform MLPA analysis on patients with negative sequencing results.