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.

Immobilized enzyme-based enzyme electrode biosensors, characterized by high sensitivity and efficiency, strong specificity, and compact size, demonstrate broad application prospects in life science research, disease diagnosis and monitoring, etc. Immobilization of enzyme is a critical step in determining the performance (stability, sensitivity, and reproducibility) of the biosensors. Random immobilization (physical adsorption, covalent cross-linking, etc.) can easily bring about problems, such as decreased enzyme activity and relatively unstable immobilization. Whereas, directional immobilization utilizing amino acid residue mutation, affinity peptide fusion, or nucleotide-specific binding to restrict the orientation of the enzymes provides new possibilities to solve the problems caused by random immobilization. In this paper, the principles, advantages and disadvantages and the application progress of enzyme electrode biosensors of different directional immobilization strategies for enzyme molecular sensing elements by specific amino acids (lysine, histidine, cysteine, unnatural amino acid) with functional groups introduced based on site-specific mutation, affinity peptides (gold binding peptides, carbon binding peptides, carbohydrate binding domains) fused through genetic engineering, and specific binding between nucleotides and target enzymes (proteins) were reviewed, and the application fields, advantages and limitations of various immobilized enzyme interface characterization techniques were discussed, hoping to provide theoretical and technical guidance for the creation of high-performance enzyme sensing elements and the manufacture of enzyme electrode sensors.

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 investigate whether successful percutaneous coronary intervention(PCI)could improve symptoms and quality of life(QOL)in left main disease and/or 3-vessel disease patients with diabetes.Methods Patients with left main disease and/or 3-vessel disease who underwent PCI in the First Affiliated Hospital of Air Force Medical University from April 2018 to May 2021 were consecutively enrolled and subdivided into 2 groups:diabetes and no diabetes.Detailed baseline characteristics,symptoms,including dyspnea and angina,assessed with the Rose dyspnea scale(RDS),Seattle angina questionnaire(SAQ),the European quality of life-5 dimensions(EQ-5D)and 12-item short-form health survey(SF-12)questionnaire respectively,procedural details,and 1 month and 1 year follow-up data were collected.Results Among 440 left main disease and/or 3-vessel disease patients,disease was present in 176(40.00％),who had more hypertension,peripheral artery disease,and LCX lesion(all P＜0.05).The incidence of major adverse cardiovascular events(MACE)and all-cause mortality were similar between the two groups(both P＞0.05)at 1 month follow-up,while all-cause mortality in diabetes patients was significantly higher than those without diabetes at 1 year follow-up(P=0.013).Low left ventricular ejection fraction was an independent risk factor for MACE and all-cause mortality at 1 month and 1 year follow-up after successful revascularization(all P＜0.05).Most importantly,symptoms,including dyspnea and angina,and QOL were markedly improved regardless of diabetes both at 1 month and 1 year follow-up(all P＜0.05).Diabetes patients showed improved dyspnea and QOL at similar degree to the non-diabetes patients(all P＞0.05)and a more significantly relieved angina(P=0.013).Additionally,the number of chronic total occlusion(CTO)per patient was identified as an independent risk factor of dyspnea(OR 0.723,95％CI 0.525～0.997,P=0.048)and angina relief(OR 0.686,95％CI 0.473～0.995,P=0.047),and the contrast volume(OR 0.995,95％CI 0.992～0.999,P=0.008)as an independent risk factor of QOL improvement in diabetic patients.Conclusions Successful PCI is beneficial for relieving symptoms and improving quality of life in patients with diabetes who have left main disease and/or 3-vessel disease.

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.

The immune microenvironment plays a pivotal role in maintaining ovarian homeostasis. Polycystic ovary syndrome (PCOS), a common endocrine and metabolic disorder, is closely associated with immune microenvironment imbalance. This review systematically describes the dysregulation of innate immune cells (e.g., macrophages, natural killer cells and dendritic cells) and adaptive immune cells (e.g., Th1, Th2, Treg and Th17) in PCOS, highlighting their impacts on ovarian function, insulin resistance, and hyperandrogenemia. These findings underscore the central role of immune microenvironment disturbances in PCOS pathogenesis. Additionally, the association between gut microbiota dysbiosis and PCOS is explored, emphasizing how gut microbiota influences metabolic byproducts and hormonal levels to contribute to PCOS development. Furthermore, therapeutic strategies targeting immune microenvironment imbalance such as modulating macrophage polarization, restoring Th1/Th2 and Th17/Treg balance, and ameliorating gut microbiota dysbiosis are discussed, offering novel insights for PCOS immunotherapy. In conclusion, this review comprehensively analyzes the pathogenesis of PCOS from the perspective of the immune microenvironment, aiming to provide a theoretical foundation and reference for future research and clinical practice.

Objective To investigate the effect of loganin(Log)on glutamine metabolism in cervical cancer through the regula-tion of nuclear factor red blood cell 2 related factor 2(NFE2L2)-ferritin heavy chain 1(FTH1)-glutathione peroxidase 4(GPX4).Methods Bioinformatics analysis was conducted to identify common targets of Log,glutamine metabolism,and cervical cancer.Hela cells were divided into Blank,control(Ctrl),Log,cisplatin(DDP),NFE2L2 activator(TBHQ),NFE2L2 inhibitor(ML385),and TBHQ+Log groups to detect cell proliferation,invasion,apoptosis,glutamine metabolism,and the protein expression of NFE2L2,FTH1,and GPX4.A cervical cancer xenograft mouse model was established to investigate the in vivo effects of Log on the progression of cervical cancer.Results Bioinformatics analysis confirmed that NFE2L2 might be a target of Log in the treatment of cervical cancer.Both Log and DDP reduced the proliferation and invasion abilities of Hela cells,increased apoptosis,and decreased the levels of glutamine and glutamic acid,as well as the protein expression of glutaminase(GLS1)and glutamic dehydrogenase(GLUD1,P<0.05).The NFE2L2 activator TBHQ had opposite effects,whereas ML385 had a similar impact on the Log.Additionally,Log treatment inhibited the protein expression of NFE2L2,FTH1,and GPX4(P<0.05).Animal experiments showed that Log significantly inhibited cervical cancer progression(P<0.05).Conclusion Log affects cervical cancer progression via glutamine metabolism by inhibiting the NFE2L2-FTH1-GPX4 signaling pathway.

Objectives:To explore the morphological changes of the superficial and deep thoraolumbar paraspinal muscles on both convex and concave sides during rest and contraction states in patients with mod-erate adolescent idiopathic scoliosis(AIS),and their effects on scoliosis angle,to analyze the relations between scoliosis angle and the morphological changes of paraspinal muscles.Methods:21 AIS patients(thoracic Cobb angle 20°-45°,S-shaped with the main curve in thoracic segment,4 males and 17 females,aged 13.9±1.6 years old)treated in our hospital from July 2020 to December 2023 and 21 healthy subjects(7 males and 14 females,aged 14.6±1.4 years old)were prospectively enrolled.The morphological data of thoracolumbar paraspinal muscles were collected with musculoskeletal ultrasound,including the resting thickness and thick-ness during maximum voluntary isometric contraction(MVIC)of superficial erector spinae(ES)and multifidus(MF)muscles of AIS patients on both convex and concave sides(left and right sides of healthy controls).The differences in resting thickness,contraction thickness,change rate of contraction thickness,and total resting thickness and total contraction thickness(ES+MF)of superficial and deep thoracolumbar paravertebral muscles between the two groups were analyzed,and the structural characteristics of the thoracolumbar paravertebral muscles on the convex and concave sides of AIS were analyzed.The correlation between Cobb angle in tho-racolumbar segment and morphological indexes(resting thickness,contraction thickness change rates)of ES and MF muscles was analyzed,and the influence of scoliosis severity on the morphology of superficial and deep paravertebral muscle was further analyzed.Results:In AIS patients,the mean thoracic Cobb angle were 31.62°±7.68°,and mean lumbar Cobb angle were 19.52°±6.48°.Comparing with healthy controls,patients with AIS were significantly different in resting thickness,contraction thickness and thickness change rates of tho-racic paraspinal muscles on both convex and concave sides,and the resting thickness of ES in thoracic seg-ment on concave side was less than that on the convex side,which of MF was less on the convex side than on the concave side(P＜0.01).The contraction thickness of thoracic MF muscles on the convex and concave sides in S-type AIS patients was smaller than that in healthy controls(P＜0.05),while the contraction thickness of thoracic ES muscles on the convex and concave side wasn't statistically different from that of healthy con-trols,and the contraction thickness change rate of ES muscles on the convex and MF on the concave side of thoracic segment in AIS patients was significantly decreased(P＜0.05).There was no significant difference in the total resting thickness of thoracic(convex and concave)paravertebral muscles(ES+MF)between AIS patients and the corresponding segments(left and right)of control group(P＞0.05),and there was no statistically signifi-cant difference in the total resting thickness of thoracic paravertebral muscle between the convex and concave sides of AIS patients(P＞0.05).The total contraction thickness of thoracic paravertebral muscle(ES+MF)in AIS patients was lower than that in control group(P＜0.05).Compared with the control group,the resting thickness,contraction thickness and thickness change rate of lumbar MF muscle on the convex and concave sides in AIS patients were significantly reduced(P＜0.05),and the contraction thickness change rate of the lumbar ES muscle on the concave side was less than that of the control group(P＜0.05).There were no significant differ-ences in resting thickness and contraction thickness between the convex and concave paravertebral muscles in AIS patients(P＞0.05).The total resting thickness(ES+MF)and total contraction thickness(ES+MF)of lumbar(convex and concave)paraspinal muscles in AIS patients were lower than those in control group(P＜0.05).There was a significant negative correlation between the Cobb angle of the main thoracic curve and the rest-ing thickness of the thoracic MF muscle on the concave and the change rate of the contraction thickness of the thoracic ES muscle on the convex in S-type AIS patients(r=-0.53/-0.45,P＜0.05).There was no signifi-cant correlation between the Cobb angle of lumbar segment and the change rates of the resting thickness and contraction thickness of ES and MF muscles on both convex and concave sides(P＞0.05).Conclusions:In pa-tients with moderate S-type AIS,there are different muscle morphological changes in the paraspinal muscles on both convex and concave sides of the main thoracic curve,and the concave paravertebral muscle is more affected by scoliosis;The contraction function of the bilateral deep core stabilizing muscles in the lumbar re-gion is markedly decreased.Different patterns of superficial and deep muscle atrophy and contractility decline may be a key cause of spinal movement disorder and scoliosis progression in AIS patients.

Objective:Elucidating causal links between gut microbiota and breast malignancies using mendelian randomization(MR)to Identify specific causal microbial taxa.Methods:Genome-wide association studies(GWAS)summary statistics on gut microbiota and breast malignancies,MiBioGen studied GWAS(N=18473)as exposure samples,and GWAS(N=123579)of breast malignancies in the IEU Open GWAS database as outcome samples.The in-verse variance weighted(IVW),weighted median and MR-Egger methods were used to analyze the MR statistical re-suits.Results:Increased abundance of Pasteurellales increased the risk of breast malignancy(IVW PFDR＜0.05,OR=1.21,95％Cl:1.07～1.36),heterogeneity test and pleiotropy test showed no effect on causality,and the"leave-one-out"method showed that the identified causal association was not driven by any single instrumental variable.The causal relationship is positive.Conclusion:Elevated abundance of pasteurellales in the gut microbiota is associated with an increased risk of breast malignancies

Widespread utilization of glyphosate has led to environmental residues,posing potential threats to ecological systems and human health.Traditional methods for detection of glyphosate are limited by specialized equipment and operational techniques,resulting in inefficient responses.Therefore,it is urgent to develop a convenient,sensitive and accurate detection method for detection of glyphosate.Herein,a new naphthalenesulfonamide-based"Turn-on"fluorescent probe was synthesized using 2-chloroaniline and dansyl chloride as raw materials through a one-step process,which showed a good linear relationship between the glyphosate concentration in concentration range of 0.003-70 μmol/L and the fluorescence intensity(R2=0.995),with a detection limit of 2.73 nmol/L(S/N=3).Analytical techniques such as nuclear magnetic resonance(NMR)spectroscopy and high-resolution mass spectrometry(HRMS)were used to investigate the interaction mechanism between the fluorescent probe and glyphosate.The results indicated that a nucleophilic substitution reaction occurred between the probe and the secondary amine(—NH—)of glyphosate,inducing a photoinduced electron transfer(PET)effect which enhanced the fluorescence intensity by 11.2 times.The probe showed good anti-interference ability towards coexisting metal ions,anions and pesticides in water.When applied to determination of glyphosate in the samples such as tap water,river water(Xiangxi River Reservoir),soil,soybeans,and corn,the spiking recoveries ranged from 94.7％to 109.9％,demonstrating the high accuracy and broad applicability of this detection method.A portable test strip based on this fluorescent probe was developed for rapid semi-quantitative analysis of glyphosate.The developed method was rapid,sensitive,and portable,providing theoretical and technical support for on-site measurement of environmental contaminants.