Chronic heart failure （CHF） is the final stage of cardiovascular diseases. It is a complex syndrome， with dyspnea and edema as the main clinical manifestations， and it is characterized by complex disease conditions， difficult cure， and high mortality. Ferroptosis， a new type of programmed cell death， is different from other types of programmed cell death. Ferroptosis is iron-dependent， accompanied by lipid peroxide accumulation and mitochondrial shrinkage， becoming a hot research topic. Studies have confirmed that ferroptosis plays a key role in the occurrence and development of CHF. The regulation of ferroptosis may become a potential target for the treatment of CHF in the future. The theory of Qi deficiency and stagnation refers to the pathological state of original Qi deficiency and abnormal transportation and distribution of Qi， blood， and body fluid， which has guiding significance for revealing the pathogenesis evolution of some chronic diseases. We believe that Qi deficiency and stagnation is a summary of the pathogenesis of ferroptosis in CHF. Deficiency of Qi （heart Qi） is the root cause of CHF， and stagnation （phlegm turbidity and blood stasis） is the branch of this disease. The two influence each other in a vicious circle to promote the development of this disease. Traditional Chinese medicine （TCM） plays an important role in the treatment of CHF， improving the prognosis and quality of life of CHF patients. This paper explores the correlation between the theory of Qi deficiency and stagnation and the mechanism of ferroptosis in CHF. Furthermore， this paper reviews the mechanism of Chinese medicines and compound prescriptions in preventing and treating CHF by regulating ferroptosis according to the principles of replenishing Qi and dredging to remove stagnation， aiming to provide new ideas and methods for the treatment of CHF with TCM.

Shengma Gegentang is one of the classic formulas in the Catalogue of Ancient Classic Prescriptions （Second Batch）. This study reviewed ancient and modern literature and used literature tracing and bibliometric methods to analyze the historical evolution， efficacy， indications， dosage decoctions， and modern clinical disease spectrum of Shengma Gegentang. The results indicated that the earliest record of Shengma Gegentang can be found in the Taiping Huimin Heji Jufang of the Song dynasty， but its origin can be traced back to the Shaoyao Siwu Jiejitang in the Beiji Qianjin Yaofang of the Tang dynasty. The composition dosage of Shengma Gegentang is 413 g of Cimicifugae Rhizoma， 619.5 g of Puerariae Lobatae Radix， 413 g of Paeoniae Radix Alba， and 413 g of Glycyrrhizae Radix et Rhizoma， which are ground into coarse powder. Each dose is 12.39 g， and the amount of water added is 300 mL. 100 mL of solution is decocted and taken at the right time. The four drugs in the formula play the role of relieving exterior syndrome， penetrating pathogenic factors， and detoxicating together. Its indications are widely involved in internal medicine， pediatrics， surgery， ophthalmology and otorhinolaryngology， obstetrics and gynecology， sexually transmitted diseases， and other diseases， such as measles， sores， acne， spots， surgical gangrene， red eyes， toothache， chancre， and fetal poison. The epidemic diseases treated by Shengma Gegentang are complicated， including rash， pox， macula， numbness， summer diarrhea， dysentery， sha disease， febrile symptoms， spring warmth， winter warmth， and cold pestilence. At the same time， it is a plague prevention formula. Although Shengma Gegentang has a wide range of indications， it cannot be separated from the pathogenic mechanism of evil Qi blocking the muscle surface and heat in the lungs and stomach. The modern clinical disease spectrum of Shengma Gegentang involves the ophthalmology and otorhinolaryngology system， nervous system， pediatric-related diseases and syndromes， skin system， hepatobiliary system， and digestive system. It plays a key role in the treatment of epidemic diseases such as measles， chronic hepatitis B， dysentery， and tetanus.

Objective To investigate the efficacy of leaflet augmentation technique to repair the recurrent mitral valve (MV) regurgitation after mitral repair in children. Methods A retrospective analysis was conducted on the clinical data of children who underwent redo MV repair for recurrent regurgitation after initial MV repair, using a leaflet augmentation technique combined with a standardized repair strategy at Fuwai Hospital, Chinese Academy of Medical Sciences, from 2018 to 2022. The pathological features of the MV, key intraoperative procedures, and short- to mid-term follow-up outcomes were analyzed. Results A total of 24 patients (12 male, 12 female) were included, with a median age of 37.6 (range, 16.5–120.0) months. The mean interval from the initial surgery was (24.9±17.0) months. All children had severe mitral regurgitation preoperatively. The cardiopulmonary bypass time was (150.1±49.5) min, and the aortic cross-clamp time was (94.0±24.2) min. There were no early postoperative deaths. During a mean follow-up of (20.3±9.1) months, 3 (12.5%) patients developed moderate or severe mitral regurgitation (2 severe, 1 moderate). One (4.2%) patient died during follow-up, and one (4.2%) patient underwent a second MV reoperation. The left ventricular end-diastolic diameter was significantly reduced postoperatively compared to preoperatively [ (43.5±8.6) mm vs. (35.8±7.8)mm, P<0.001]. Conclusion The leaflet augmentation technique combined with a standardized repair strategy can achieve satisfactory short- to mid-term outcomes for the redo mitral repair after previous MV repair. It can be considered a safe and feasible technical option for cases with complex valvular lesions and severe pathological changes.

Objective To explore the action mechanism of tauroursodeoxycholic acid(TUDCA)promoting intracellular clearance of Burkholderia pseudomallei(B.pseudomallei)in RAW264.7 macrophages.Methods After TUDCA of different concentrations were used to treat RAW264.7 cells pre-infected with B.pseudomallei for 8 h or not,flow cytometry was applied to detect the apoptosis of the infected and control cells.In addition,another endoplasmic reticulum stress(ERS)inhibitor 4-PBA was used to detect the apoptosis and proliferation of host cells after B.pseudomallei infection with Annexin-V/PI double staining and MTT cell proliferation assay.Furthermore,after transfected with CHOP siRNA,Western blotting and flow cytometry were employed to detect the effect of TUDCA on the expression levels of Caspase-3 and Caspase-12 and the changes in apoptotic rate after B.pseudomallei infection,respectively.Finally,the effect of TUDCA on intracellular multiplication of infected RAW264.7 cells were observed to estimate the CFU value in the presence and absence of CHOP siRNA.Results Under different concentrations of TUDCA,100 or 200 μmol/L TUDCA significantly reduced B.pseudomallei-induced apoptosis in RAW264.7 cells(P＜0.05).Meanwhile,both TUDCA and 4-PBA treatment could decrease the apoptosis induced by B.pseudomallei infection by ERS(P＜0.05).Further,the expression levels of Caspase-3 and Caspase-12 were obviously increased after B.pseudomallei infection compared with uninfected groups,but their expression levels in the siCHOP group was significantly lower than that in the siC group.Besides,flow cytometry also showed that TUDCA could reduce apoptosis induced by B.pseudomallei infection(P＜0.05),but no significant effect of TUDCA on apoptosis was observed under CHOP knockdown.Finally,intracellular CFU assay indicated that TUDCA treatment promoted the host cell clearance of B.pseudomallei(P＜0.05),but no such effect was observed in siCHOP group.Conclusion In B.pseudomallei infected RAW264.7 cells,TUDCA promotes the intracellular clearance of the bacteria by inhibiting ERS-induced apoptosis.

Fluorescence anisotropy(FA)analysis has many advantages such as no requirement of separation,high throughput and real-time detection,and thus has been widely used in many fields,including biochemical analysis,food safety detection,environmental monitoring,etc.However,due to the small volume or mass of the target,its combination with the fluorescence probe cannot produce significant signal change.To solve this issue,researchers often use nanomaterials to enhance the mass or volume of fluorophore to improve the sensitivity.Nevertheless,this FA amplification strategy also has some disadvantages.Firstly,nanomaterials are easy to quench fluorescence.As a result,the FA value is easily influenced by light scattering,which reduces the detection accuracy.Secondly,fluorescent probes in most methods require complex modification steps.Therefore,it is necessary to develop new FA probes that do not require the amplification of volume and mass or modification.As a new kind of nanomaterials,luminescent metal-organic framework(MOF)has a large volume(or mass)and strong fluorescence emission.It does not require additional signal amplification materials.As a consequence,it can be used as a potential FA probe.This study successfully synthesized a lanthanide metal organic framework(Ce-TCPP MOF)using cerium ion(Ce3+)as the central ion and 5,10,15,20-tetra(4-carboxylphenyl)porphyrin(H2TCPP)as the ligand through microwave assisted method,and used it as a novel unmodified FA probe to detect phosphate ions(Pi).In the absence of Pi,Ce-TCPP MOF had a significant FA value(r).After addition of Pi,Pi reacted with Ce3+in MOF and destroyed the structure of MOF into the small pieces,resulting in a decrease in r.The experimental results indicated that with the increase of Pi concentration,the change of the r of Ce-TCPP MOF(Δr)gradually increased.The Δr and Pi concentration showed a good linear relationship within the range of 0.5-3.5 μmol/L(0.016-0.108 mg/L).The limit of detection(LOD,3σ/k)was 0.41 μmol/L.The concentration of Pi in the Jialing River water detected by this method was about 0.078 mg/L,and the Pi value detected by ammonium molybdate spectrophotometry was about 0.080 mg/L.The two detection results were consistent with each other,and the detection results also meet the ClassⅡwater quality standard,proving that this method could be used for the detection of Pi in complex water bodies.

Objective To investigate the diagnosis value of contrast-enhanced ultrasound (CEUS) in the differentiation of hepatocellular carcinoma (HCC) and focal nodular hyperplasia (FNH) of the liver with ≤3 cm of maximum diameter. Methods The image characteristics in 48 lesions of HCC with maximum diameter≤3 cm and 48 lesions of FNH with maximum diameter≤3 cm confirmed by pathology were retrospectively analyzed. The phase changes, enhancement patterns and enhancement characteristics of the lesions in the two groups were compared. Results All lesions in the two groups showed high-echo in the arterial phase. The contrast arrival time in HCC group and FNH group was 17(15, 19) s and 15(12, 18.75) s (P＝0.017); the peak time in the two groups was 21(17, 25) s and 22(19, 26) s (P＞0.05). The main enhancement patterns of HCC group and FNH group in arterial phase were homogeneous enhancement and centrifugal enhancement, respectively. All HCC lesions showed homogeneous enhancement, which was significantly higher than FNH (2.08%, P＜0.05); 97.91% of FHN lesions showed centrifugal enhancement, which was higher that of HCC lesions (0, P＜0.05). During the CEUS process, 87.5% of HCC lesions showed “rapid fill-in and rapid wash-out”, which was significantly higher than that of FNH lesions（8.33%，P＜0.05）; 91.67% of FNH lesions showed “rapid fill-in” and “synchronous/slow wash-out” which was significantly higher than that of HCC lesions （12.50%，P＜0.05）. Conclusion CEUS is helpful in the differential diagnosis of FNH and HCC with maximum diameter≤3 cm．

Heart failure （HF） is a group of syndromes caused by cardiac dysfunction with impaired ventricular pumping， seriously affecting patients' health and quality of life. The pathogenesis of HF is complex， including myocardial contractility decline， myocardial fibrosis， and ventricular remodeling， and it is related to neuroendocrine regulation， inflammation， and cardiomyocyte autophagy. Autophagy is a key regulatory mechanism by which cells degrade themselves to maintain body homeostasis. In the process of HF， moderate autophagy can remove aging and damaged cardiomyocytes and maintain the balance of myocardial energy metabolism， while abnormal autophagy may lead to functional decline and pathological changes of cardiomyocytes. The adenosine monophosphate-activated protein kinase （AMPK）/mammalian target of rapamycin （mTOR） signaling pathway is one of the classical pathways regulating autophagy. This pathway can mediate the autophagy of cardiomyocytes and play a role in protecting the cardiac function and delaying HF progression. Traditional Chinese medicine （TCM） with a long history has a unique theoretical system and shows satisfactory therapeutic effects and wide application prospects amid the integration with modern medicine. The clinical practice of TCM has accumulated rich experience in the treatment of cardiovascular diseases. A large number of studies have shown that the active components and compound prescriptions of TCM and Chinese patent medicines can mediate autophagy by regulating the AMPK/mTOR signaling pathway to treat HF. This article explains the role of AMPK/mTOR signaling pathway-mediated autophagy in the treatment of HF， introduces the understanding of autophagy， AMPK/mTOR signaling pathway， and HF based on TCM theories， and reviews the research progress in the regulation of autophagy by TCM in the treatment of HF via the AMPK/mTOR pathway. This review is expected to tap the potential of TCM in the treatment of cardiovascular diseases， provide theoretical support for subsequent experimental studies， and demonstrate the advantages of TCM in clinical practice to achieve more accurate treatment.

Adaptive immunity is a critical component of the human immune system, playing an essential role in identifying antigens and orchestrating a tailored immune response. This review delves into the significant strides made in the development of epitope prediction tools, their integration into vaccine design, and their pivotal role in enhancing immunotherapy strategies. The review emphasizes the transformative potential of these tools in refining our understanding and application of immune responses. Adaptive immunity distinguishes itself from innate immunity by its ability to recognize specific antigens and remember past infections, leading to quicker and more effective responses upon subsequent exposures. This facet of immunity involves complex interactions between various cell types, primarily B cells and T cells, which recognize distinct epitopes presented by antigens. Epitopes are small sequences or configurations on antigens that are recognized by the immune receptors on B cells and T cells, acting as the focal points of immune recognition and response. Epitopes can be broadly classified into two types: linear (or sequential) epitopes and conformational (or discontinuous) epitopes. Linear epitopes consist of a sequence of amino acids in a protein that are recognized by B cells and T cells in their primary structure form. Conformational epitopes, on the other hand, are formed by spatially distinct amino acids that come together in the tertiary structure of the protein, often recognized by the immune system only when the protein folds into its native conformation. The role of epitopes in the immune response is critical as they are the primary triggers for the activation of B cells and T cells. When an epitope is recognized, it can stimulate B cells to produce antibodies, mobilize helper T cells to secrete cytokines, or prompt cytotoxic T cells to kill infected cells. These actions form the basis of the adaptive immune response, tailored to eliminate specific pathogens or infected cells effectively. The prediction of B cell and T cell epitopes has evolved with advances in computational biology, leading to the development of several sophisticated tools that utilize a variety of algorithms to predict the likelihood of epitope regions on antigens. Tools employing machine learning methods, such as support vector machines (SVMs), XGBoost, random forest, analyze large datasets of known epitopes to classify new sequences as potential epitopes based on their similarity to known data. Moreover, deep learning has emerged as a powerful method in epitope prediction, leveraging neural networks capable of learning high-dimensional data from vast amounts of immunological inputs to identify patterns that may not be evident to other predictive models. Deep learning models, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs) and ESM protein language model have demonstrated superior accuracy in mapping the nonlinear relationships inherent in protein structures and epitope interactions. The application of epitope prediction tools in vaccine design is transformative, enabling the development of epitope-based vaccines that can elicit targeted immune responses against specific parts of the pathogen. These vaccines, by focusing the immune response on highly specific regions of the pathogen, can offer high efficacy and reduced side effects. Similarly, in cancer immunotherapy, epitope prediction tools help identify tumor-specific antigens that can be targeted to develop personalized immunotherapeutic strategies, thereby enhancing the precision of cancer treatments. The future of epitope prediction technology appears promising, with ongoing advancements anticipated to enhance the precision and efficiency of these tools further. The integration of broader immunological data, such as patient-specific immune profiles and pathogen variability, along with advances in AI and machine learning, will likely drive the development of more adaptive, robust, and clinically relevant prediction models. This will not only improve the effectiveness of vaccines and immunotherapies but also contribute to our broader understanding of immune mechanisms, potentially leading to breakthroughs in the treatment and prevention of multiple diseases. In conclusion, the development and refinement of epitope prediction tools stand as a cornerstone in the advancement of immunological research and therapeutic design, highlighting a path toward more precise and personalized medicine. The ongoing integration of computational models with experimental immunology holds the promise of revolutionizing our approach to combating infectious diseases and cancer.

Heart failure is a group of complex clinical syndromes that represent the final stage of cardiovascular disease development， characterized by an extremely high mortality rate. However， due to the complexity of the pathological mechanisms， an effective treatment method has not yet been found. Mitochondria are among the most critical organelles in cells， playing an essential role in energy supply and widely participating in various life activities， such as the regulation of oxidative stress and apoptosis. The normal functioning of mitochondria is crucial for maintaining the body's normal life activities. In recent years， studies have found that mitochondrial dysfunction is associated with the occurrence and progression of various diseases， particularly closely related to the onset of heart failure. An imbalance in mitochondrial homeostasis is a key factor in cardiomyocyte death and the onset of heart failure. Mitochondrial autophagy， as a means of regulating mitochondrial homeostasis， is significant for the prevention and treatment of heart failure. Traditional Chinese medicine （TCM） therapy is a unique treatment approach in China now widely applied in clinical practice， demonstrating significant efficacy in treating heart failure， with unique advantages. Modern pharmacological research indicates that Chinese medicine monomers and compounds can target and regulate mitochondrial homeostasis in cardiomyocytes， affect mitochondrial autophagy， and protect cardiomyocytes， though the specific mechanisms remain unclear. Therefore， this paper explored the mechanisms of the PTEN-induced putative kinase 1 （PINK1）/Parkin pathway in mitochondrial autophagy and heart failure， reviewed the effects of PINK1/Parkin-mediated mitochondrial autophagy on heart failure， and discussed the therapeutic effects of PINK1/Parkin-mediated mitochondrial autophagy on heart failure in conjunction with TCM. This paper is expected to provide new ideas and methods for the prevention and treatment of heart failure from the perspective of PINK1/Parkin regulation of mitochondrial autophagy.

Objective To observe the clinical and symptomatic improvement three months after uterine artery embolization(UAE),and to analyze the value of apparent diffusion coefficient(ADC)in MR diffusion weighted imaging(DWI)in assessing the response of fibroids volume after UAE.Methods A total of 40 patients with uterine fibroids were included.The volume changes of fibroids,clinical and symptomatic improvement before and after treatment were recorded,and the efficacy of UAE was comprehensively analyzed.All patients underwent MR DWI before UAE and were evaluated at three months postoperatively by outpatient MR follow-up,with fibroids vol-ume and ADC quantitative measurements were performed to compare the changes in ADC values of fibroids preoperatively and post-operatively at each b value.Pearson correlation analysis was performed to analyze the correlation between baseline ADC values and postoperative fibroids volume reduction.Regression analysis was performed to assess the relationship between ADC and fibroids volume reduction after UAE.And the receiver operating characteristic(ROC)curve were plotted to analyze the predictive value of ADC values for evaluating fibroids volume reduction of more than 30％after UAE.Results The patients'clinical symptoms was improved in the three months after surgery,the volume of fibroids was significantly reduced,and the life quality was improved,the difference was sta-tistically significant(P＜0.05).There was no significant effect on ovarian function,hormone levels did not change significantly com-pared to before surgery,with no statistical significance(P＞0.05).When b=50,1 000 s/mm2,the changes in ADC values before and after uterine fibroids treatment were not significant,with no statistical significance(P＞0.05).However,the changes in ADC values before and after uterine fibroids treatment were significant when b=800 s/mm2 and the difference was statistically significant(P＜0.05).Under the condition of b=800 s/mm2,Pearson correlation analysis showed ADC value had a positive correlation with postoperative uterine fibroids volume reduction rate(r=0.45,P＜0.05),and the area under the curve(AUC)for ADC value to predict the reduction rate of uterine fibroids volume by more than 30％after UAE was 0.787.The cut-off value was 1.143 × 10-3 mm2/s,with sensitivity and specificity of 0.793 and 0.818,respectively.Conclusion UAE is more effective in treating uterine fibroids.The baseline ADC value of uterine fibroids correlated significantly with the volume reduction after UAE.The ADC value can be used to assess the volume response after UAE.