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.

Objective To propose a multiple regression-variational auto-encoders(MR-VAE)model to realize precise and non-invasive prediction of intra-abdominal pressure(IAP)in critically ill patients.Methods At first,a dataset was constructed by retrospectively analysing baseline characteristics and clinical indicators of 100 critically ill patients admitted to the Intensive Care Unit of Daping Hospital of Army Medical University between 30 August 2019 and 30 March 2021.Then,a MR-VAE prediction model was developed by integrating a feedforward neural network for supervised regression onto a variational autoencoder(VAE)framework and incorporating multiple regression strategies to mitigate feature interference.Finally,the MR-VAE model had its performance evaluated by its comparison with five classical models including support vector machines(SVM),convolutional neural networks(CNN),Scikit-learn integrated model(SIM),multi-layer perceptron(MLP)and K-nearest neighbors(KNN),and its prediction accuracy verified by testing the data of 10 randomly selected patients.Results The MR-VAE model behaved the best when compared with the five classical models,with a mean squared error(MSE)of 0.207,a root mean square error(RMSE)of 0.454,a mean absolute error(MAE)of 0.361,a median absolute deviation(MAD)of 0.243,an explained variance score(EVS)of 0.814 and a R2of 0.823,which also outperformed the five models in fitting performance,convergence and final loss.In random sample testing,the MR-VAE model exhibited high consistency between predicted and actual values.Conclusion The MR-VAE model proposed can accurately predict IAP,which has great potential in reducing the repeated measurements of IAP in critically ill patients and providing new ideas for the early diagnosis and treatment of IAH.

Objective To propose a multiple regression-variational auto-encoders(MR-VAE)model to realize precise and non-invasive prediction of intra-abdominal pressure(IAP)in critically ill patients.Methods At first,a dataset was constructed by retrospectively analysing baseline characteristics and clinical indicators of 100 critically ill patients admitted to the Intensive Care Unit of Daping Hospital of Army Medical University between 30 August 2019 and 30 March 2021.Then,a MR-VAE prediction model was developed by integrating a feedforward neural network for supervised regression onto a variational autoencoder(VAE)framework and incorporating multiple regression strategies to mitigate feature interference.Finally,the MR-VAE model had its performance evaluated by its comparison with five classical models including support vector machines(SVM),convolutional neural networks(CNN),Scikit-learn integrated model(SIM),multi-layer perceptron(MLP)and K-nearest neighbors(KNN),and its prediction accuracy verified by testing the data of 10 randomly selected patients.Results The MR-VAE model behaved the best when compared with the five classical models,with a mean squared error(MSE)of 0.207,a root mean square error(RMSE)of 0.454,a mean absolute error(MAE)of 0.361,a median absolute deviation(MAD)of 0.243,an explained variance score(EVS)of 0.814 and a R2of 0.823,which also outperformed the five models in fitting performance,convergence and final loss.In random sample testing,the MR-VAE model exhibited high consistency between predicted and actual values.Conclusion The MR-VAE model proposed can accurately predict IAP,which has great potential in reducing the repeated measurements of IAP in critically ill patients and providing new ideas for the early diagnosis and treatment of IAH.

Objective To observe the clinical efficacy and safety of vericiguat tablets combined with sacubitril valsartan sodium(Sac/Val)tablets in the treatment of patients with heart failure with reduced ejection fraction(HFrEF).Methods The HFrEF patients were divided into control group and treatment group according to the cohort method.The control group was treated with Sac/Val tablets 200 mg per time,bid,orally.On the basis of control group,the treatment group was treated with vericiguat tablets 2.5 mg per time,qd,taken with meal.Two groups were treated for 3 months.The clinical efficacy,left ventricular ejection fraction(LVEF),left ventricular end-diastolic dimension(LVEDD)and end-systolic diameter(LVESD),levels of high sensitivity C-reactive protein(hs-CRP),interleukin-6(IL-6),nitric oxide(NO),N-terminal pro-brain natriuretic peptide(NT-proBNP),blood urea nitrogen(BUN)and serum creatinine(SCr),and safety were compared between the two groups.During follow-up,the heart failure rehospitalization rates and major adverse cardiovascular events were compared between the two groups.Results Treatment group was enrolled 53 patients,control group was enrolled 53 patients.After treatment,the total effective rates of treatment and control groups were 94.34％(50 cases/53 cases)and 81.13％(43 cases/53 cases)with statistical significant difference(P＜0.05).After treatment,the LVEF of treatment and control groups were(48.02±5.20)％and(43.02±4.33)％,the LVEDDs were(52.85±6.30)and(55.63±6.88)mm,the LVESDs were(41.64±6.40)and(44.22±5.85)mm,the levels of hs-CRP were(10.22±2.63)and(14.60±2.98)mg L-1,the levels of IL-6 were(14.48±2.40)and(17.36±2.52)pg·mL-1,the levels of NO were(102.60±20.16)and(92.16±16.33)μmol·L-1,the levels of NT-proBNP were(898.74±102.20)and(1315.60±182.64)ng·L-1,the levels of BUN were(12.02±2.28)and(13.45±2.33)mmol·L-1,the levels of SCr were(82.22±5.89)and(85.64±6.03)μmol·L-1,the heart failure rehospitalization rates were 5.66％and 13.21％,respectively;the differences were statistical significant between two groups(all P＜0.05).The adverse drug reactions of treatment group were hyperkalemia,hypotension,renal dysfunction,dizziness and headache,while those in control group were renal dysfunction,hyperkalemia,and hypotension.The major adverse cardiovascular events of treatment group were angina pectoris and acute myocardial infarction,while those in control group were angina pectoris,acute myocardial infarction and atrial fibrillation.The incidences of total adverse drug reactions in treatment and control groups were 13.21％and 7.55％,the incidences of major adverse cardiovascular events were 5.66％and 13.21％,respectively,without statistically significant differences(all P＞0.05).Conclusion Vericiguat tablets combined with Sac/Val tablets have a definitive clinical efficacy in the treatment of HFrEF patients,which can improve cardiac and endothelial function,reduce inflammatory response and readmission times,without increasing the incidences of adverse drug reactions.

Parkinson's disease is a neurodegenerative disease that mainly affects dopamine neurons in the substantia nigra region of the brain,and its clinical manifestations include shaking and slowness of movement.The means of clinical medicine treatment are limited,but traditional Chinese medicine,with its advantages of low cost and high safety,shows great potential in the prevention and treatment of Parkinson's disease.Our team proposed that the core pathogenesis of Parkinson's disease was"earth deficiency and wood multiplication",that is,spleen(soil)deficiency and liver(wood)dysfunction.Among them,"earth deficiency"was the basis of the disease,and"wood multiplication"was the core of the disease.The treatment advocated"strengthening spleen and soothing liver",the specific methods included strengthening spleen and resolving phlegm,Tonify qi and cultivate the middle and soothing liver and relieve depression,and subdue wind and unblock the meridians,etc.Representative recipes were Lianmei Siwu decoction,Zhengan Xifeng decoction,Huangya decoction and Shenzhu decoction.In the treatment,we should pay attention to the whole concept and syndrome differentiation and treatment,and combine the three factors to improve the clinical effect.At the same time,the advantages and mechanisms of TCM in the prevention and treatment of Parkinson's disease deserve further research and verification.

Lymphoma is a highly heterogeneous malignancy characterized by complex molecular regulatory mechanisms that result in significant differences in aggressiveness and prognosis across its subtypes.Gene copy number alteration(CNA)analysis,an emerging technology,has become a pivotal tool in the precision re-search and management of lymphoma.By detecting DNA deletions,amplifications,and chromosomal copy number changes,CNA analysis addresses the limitations of traditional cytogenetic techniques,enhances the ac-curacy of subtype classification,and aids in evaluating tumor heterogeneity and disease progression.This re-view provides a comprehensive summary of CNA detection methods and their applications in lymphoma,with a focus on recent advancements in the field.It offers a comparative analysis of CNA detection techniques and discusses their role in precision diagnosis,subtype classification,monitoring disease progression,predicting therapeutic resistance,and assessing prognosis.Additionally,the review explores the potential applications of CNA analysis in uncovering molecular regulatory mechanisms,optimizing therapeutic strategies,and impro-ving patient survival outcomes.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

At present,the diagnostic criteria for acute severe autoimmune hepatitis(AS-AIH)include acute onset,consistency with the diagnostic criteria for autoimmune hepatitis(AIH),presence of jaundice,and international normalized ratio≥1.5 at the time of diagnosis,without evidence of hepatic encephalopathy or previous liver disease.As a special subtype of AIH,AS-AIH is characterized by acute onset and rapid disease progression,and thus early diagnosis is of vital importance.Glucocorticoid therapy should be given as early as possible after diagnosis to prevent the progression to acute liver failure and reduce the risk of liver transplantation.Management of AS-AIH patients is challenging,since patients often lack typical clinical features and histological manifestations of AIH at the time of diagnosis,and early assessment of glucocorticoid response and a treatment regimen with proper doses are important for improving the prognosis of patients.

Depression (Dep) is one of the most common concomitant symptoms of Parkinson's disease (PD), but there is a lack of detailed pathologic evidence for the occurrence of PD-Dep. Currently, the management of symptoms from both conditions using conventional pharmacological interventions remains a formidable task. In this study, we found impaired activation of extracellular signal-related kinase (ERK), reduced levels of transcription and translation, and decreased expression of brain-derived neurotrophic factor (BDNF) in the medial prefrontal cortex (mPFC) of PD-Dep rats. We demonstrated that the abnormal phosphorylation of α-synuclein (pS129) induced tropomyosin-related kinase receptor type B (TrkB) retention at the neuronal cell membrane, leading to BDNF/TrkB signaling dysfunction. We chose SEW2871 as an ameliorator to upregulate ERK phosphorylation. The results showed that PD-Dep rats exhibited improvement in behavioral manifestations of PD and depression. In addition, a reduction in pS129 was accompanied by a restoration of the function of the BDNF/ERK signaling loop in the mPFC of PD-Dep rats.
Animals ; Brain-Derived Neurotrophic Factor/metabolism* ; alpha-Synuclein/metabolism* ; Male ; Prefrontal Cortex/drug effects* ; Rats, Sprague-Dawley ; Depression/metabolism* ; MAP Kinase Signaling System/drug effects* ; Rats ; Parkinson Disease/metabolism* ; Receptor, trkB/metabolism* ; Phosphorylation ; Disease Models, Animal ; Signal Transduction

Research on immune checkpoints such as programmed death protein-1(PD-1)and cytotoxic T lymphocyte antigen-4(CTLA-4)has provided new directions for tumor treatment.V-domain immunoglobulin suppressor of T-cell activation(VISTA)is an emerging immune checkpoint within the B7 family.Functioning as both a ligand and a receptor,VISTA is an inhibitory immune checkpoint molecule expressed in tumor cells,myeloid cells and T lymphocytes.It plays a crucial role in regulating autoimmunity,inflammatory response and tumor immunity.The non-redundant interactions between VISTA and other immune checkpoints,such as PD-1,may offer new therapeutic strategies and serve as a new target for overcoming immunotherapy resistance.This review summarizes the recent research progress on VISTA in hematological tumors,aiming to provide new insights into its application in the treatment of these malignancies.