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.

Objective To investigate the clinical characteristics and prognostic factors of Staphylococcus aureus bloodstream infections in adult patients for improving clinical treatment and identifying potential interventions.Methods Clinical data of inpatients diagnosed with S.aureus bloodstream infection confirmed by blood culture in a hospital from January 2016 to December 2023 were retrospectively reviewed.The data included patient age,gender,history of hospital admission,department of admission,underlying diseases,primary infection,quick Pitt bacteremia score(qPitt),invasive treatment,empirical anti-infective treatment,and treatment outcomes.Patients were assigned to case group or control group according to whether they died in hospital in order to identify the prognostic factors of patient outcomes.Binary logistic regression analysis was used to identify independent prognostic factors.Results A total of 233 cases of S.aureus bacteremia were identified.Multivariate logistic regression analysis showed that age ≥ 70 years old(OR=4.725,95％CI:1.228-18.173,P=0.024),diabetes mellitus(OR=8.161,95％CI:1.954-34.086,P=0.004),Charlson comorbidity index(CCI)≥ 5(OR=7.672,95％CI:1.901-30.963,P=0.004),hospital infection(OR=7.853,95％CI:1.588-38.832,P=0.012),and qPitt ≥ 2(OR=23.189,95％CI:4.461-120.552,P＜0.001)were independent prognostic factors for poor outcome of patients with S.aureus bacteremia,while catheter-associated infection(OR=0.051,95％CI:0.005-0.579,P=0.016)was negatively correlated with mortality.Conclusions Advanced age,diabetes mellitus,high CCI,hospital infection,and high qPitt were independent prognostic factors for poor outcomes of patients with S.aureus bacteremia.The patients should be well managed by timely removal of eradicable lesions to improve patient outcomes.

Objective·To investigate the predictive value of the geriatric nutritional risk index(GNRI)for the occurrence of lung infection in hospitalized elderly patients with type 2 diabetes mellitus(T2DM).Methods·Elderly T2DM patients who were admitted to the Geriatric Department of Shanghai Tongren Hospital between June 2022 and June 2024 were retrospectively and consecutively enrolled.They were divided into infected and non-infected groups according to whether lung infection occurred during hospitalization.Baseline data(gender,age,height,weight,duration of diabetes,comorbidities,etc.)were collected and GNRI was calculated.A multivariate Logistic regression model was used to screen the independent risk factors for pulmonary infections,and the predictive value of GNRI for pulmonary infections in T2DM patients was analysed using receiver operating characteristic(ROC)curves.Results·A total of 264 elderly T2DM patients were enrolled,among whom 154 developed pulmonary infections.Significant differences were observed between the infected and non-infected groups in GNRI,albumin,leukocyte count,neutrophil ratio,lymphocyte ratio,glycated hemoglobin,fasting glucose,interleukin-6,C-reactive protein,and procalcitonin levels(P<0.05).Multivariate Logistic regression analysis showed that a lower GNRI was an independent risk factor for lung infection(OR=0.798,95%CI 0.712?0.894;P<0.001).Correlation analysis showed that GNRI was negatively correlated with C-reactive protein and calcitoninogen.ROC curve analysis showed that GNRI predicted pulmonary infection with an area under the curve of 0.828,a sensitivity of 77.9%,and a specificity of 76.6%.Conclusion·A lower GNRI is an independent risk factor for pulmonary infections in elderly T2DM patients,and also has a good predictive value for the occurrence of pulmonary infections.

Objective·To investigate the predictive value of the geriatric nutritional risk index(GNRI)for the occurrence of lung infection in hospitalized elderly patients with type 2 diabetes mellitus(T2DM).Methods·Elderly T2DM patients who were admitted to the Geriatric Department of Shanghai Tongren Hospital between June 2022 and June 2024 were retrospectively and consecutively enrolled.They were divided into infected and non-infected groups according to whether lung infection occurred during hospitalization.Baseline data(gender,age,height,weight,duration of diabetes,comorbidities,etc.)were collected and GNRI was calculated.A multivariate Logistic regression model was used to screen the independent risk factors for pulmonary infections,and the predictive value of GNRI for pulmonary infections in T2DM patients was analysed using receiver operating characteristic(ROC)curves.Results·A total of 264 elderly T2DM patients were enrolled,among whom 154 developed pulmonary infections.Significant differences were observed between the infected and non-infected groups in GNRI,albumin,leukocyte count,neutrophil ratio,lymphocyte ratio,glycated hemoglobin,fasting glucose,interleukin-6,C-reactive protein,and procalcitonin levels(P<0.05).Multivariate Logistic regression analysis showed that a lower GNRI was an independent risk factor for lung infection(OR=0.798,95%CI 0.712?0.894;P<0.001).Correlation analysis showed that GNRI was negatively correlated with C-reactive protein and calcitoninogen.ROC curve analysis showed that GNRI predicted pulmonary infection with an area under the curve of 0.828,a sensitivity of 77.9%,and a specificity of 76.6%.Conclusion·A lower GNRI is an independent risk factor for pulmonary infections in elderly T2DM patients,and also has a good predictive value for the occurrence of pulmonary infections.

Aim To investigate the intervention effect of Rehmannia radix water extract on bleomycin(BLM)-induced pulmonary fibrosis in mice combined with metabolomics and to reveal the potential mechanism,in order to provide new ideas for clinical treatment of pul-monary fibrosis.Methods Male C57BL/6N mice were randomly divided into the control group,model group,pirfenidone group(positive control,PFD,270 mg·kg-1),and low dose(DH-L,4.55 g·kg-1)group,medium dose(DH-M,9.1 g·kg-1)group and high dose(DH-H,18.2 g·kg-1)group of Rehman-nia.Except for the control group,BLM(5 mg·kg-1)was instilled into the trachea to establish the model of pulmonary fibrosis in the other groups.The survival rate,lung index and blood oxygen saturation of mice in each group were evaluated.HE and Masson staining were used to observe the pathological changes of lung tissue.WBP was used to detect lung function.Flow cytometry was used to detect the apoptosis of primary lung cells,ROS and immune cells.ELISA was used to detect the levels of fibrosis markers and inflammatory factors(α-SMA,collagen Ⅰ,collagen Ⅲ,TGF-β1,TNF-α,IL-1 β,and IL-6).Biochemical method was employed to detect the contents of GSH-Px,T-SOD and MDA.Liquid chromatograph mass spectrometer(LC-MS)metabolomics was used to analyze the changes of serum metabolic profile.Results Water extract of Re-hmannia significantly increased the survival rate,oxy-gen saturation and lung function of mice with pulmona-ry fibrosis,reduced the lung coefficient,ameliorated pathological damage and collagen deposition in lung tissue,reduced the levels of apoptosis and oxidative stress,and down-regulated the levels of inflammatory factors in lung tissue.It regulated the levels of metabo-lites such as bile acid metabolism,sphingolipid metabo-lism,and unsaturated fatty acid metabolism.Conclu-sions Water extract of Rehmannia inhibits lung injury and collagen deposition in mice with pulmonary fibrosis by inhibiting inflammatory response,which may be a-chieved by regulating the levels of inflammatory factors through the metabolic pathways of bile acid and sphin-golipid.

Aim To explore the mechanism by which the compound Chaijin Jieyu formula(CCJJY)regulates the TLR4/NLRP3 signaling pathway to inhibit central oxidative stress and improve hippocampal synaptic plasticity damage in depression.Methods SD rats were randomly divided into the control group,chronic unpredictable mild stress group,sleep deprivation group,chronic unpredictable mild stress combined with sleep deprivation group,positive drug group(venlafax-ine+melatonin),low-dose group of CCJJY,medium dose group of CCJJY,and high-dose group of CCJJY,with nine rats in each group.Except for the control group,a rat model of depression complicated with in-somnia was established using chronic unpredictable mild stress combined with sleep deprivation.Depres-sion-like and sleep behaviors in rats were evaluated through weight,food intake,water maze,and pento-barbital sodium tests.ELisa was used to detect ROS,AANAT,and HPLC-EC was used to detect 5-HT con-tent,while Western blot/RT-PCR was used to detect the expression of IL-1β,TLR4,NLRP3,PSD-95,and SYN related proteins and mRNA.HE and Golgic stai-ning were used to observe the pathological changes in the third ventricle,hippocampus,and neuronal synap-ses.Results Compared with the control group,the depression-like behaviors of the model group rats were significant.The expression of IL-1β,TLR4,and NL-RP3 in the hippocampus increased,while the expres-sion of PSD-95 and SYN decreased.Activation of NL-RP3 inflammasomes led to "sleeve like" pathological changes in the third ventricle,with hippocampal neu-rons undergoing apoptosis and significant damage to neuronal synaptic plasticity.Compared with the model group,after intervention with CCJJY,the expression of ROS,IL-1β,TLR4,and NLRP3 decreased,while the expression of AANAT,5-HT,PSD-95,and SYN in-creased.Pathological damage to the third ventricle and hippocampal neurons was repaired.Conclusion The CCJJY improves hippocampal synaptic plasticity dam-age in depression by regulating the TLR4/NLRP3 sig-naling pathway to inhibit central oxidative stress.

Aim To explore the mechanism of Jiawei Shaofu Zhuyu decoction in antagonizing endometriosis fibrosis by regulating mitophagy.Methods After the animal model was constructed,the syndrome was evalu-ated by general condition,organ water content and ther-mal imaging.The curative effect was evaluated by the weight of ectopic focus and the degree of adhesion.The pathological changes were compared using HE stai-ning,transmission electron microscopy,Masson and Sir-ius red staining.The expression of PINK1 and Parkin was detected by immunohistochemistry.The expression of mRNA and protein was determined by qPCR and Western blot,and the level of serum ROS was detected by ELISA.Results The autonomic activity of model mice was weakened,the water content of organs rose,and the temperature of limbs and lower abdomen was reduced by thermal imaging.HE staining showed obvi-ous hyperplasia of ectopic epithelium and glands.Transmission electron microscopy showed mitochondrial and endoplasmic reticulum structure damage,and nor-mal autophagy structure disappeared.Masson and Siri-us red staining showed increased collagen deposition;immunohistochemistry showed decreased expression of PINK1 and Parkin in ectopic foci.qPCR and Western blot showed that the expression of PINK1,Parkin,Bec-lin1,LC3 mRNA and protein in ectopic foci of model mice decreased,the expression of p62 mRNA and pro-tein increased,and serum ROS increased.The syn-drome performance of model mice was improved after the intervention of Jiawei Shaofu Zhuyu decoction;the inflammatory infiltration of ectopic foci was relieved,the morphology of mitochondria and endoplasmic retic-ulum was restored,and normal autophagy structure ap-peared.The degree of collagen deposition and fibrosis was reduced;the mRNA and protein expression of PINK1,Parkin,Beclin1 and LC3 increased.The ex-pression of p62 mRNA and protein decreased,and the level of ROS decreased.Conclusions Jiawei Shaofu Zhuyu decoction can improve the fibrosis of ectopic le-sions in mice with endometriosis of cold-dampness sta-sis syndrome,which may be related to the regulation of mitophagy.

Objective:To understand the pathogenic composition and epidemiological characteristics of febrile respiratory syndrome (FRS) in elderly people aged 60 and above in China, and to provide a reference basis for the scientific and precise prevention and control of FRS in the elderly.Methods:Based on FRS cases surveillance data from information management system of National Technical Platform for Infectious Disease Surveillance, National Science and Technology Major Project of China, the surveillance pathogens included 8 viruses, including influenza virus (IFV), respiratory syncytial virus (RSV), adenovirus (HAdV), parainfluenza virus (HPIV), metapneumovirus (HMPV), coronavirus (HCoV), bocavirus and rhinovirus (HRV); 7 bacterias, namely Streptococcus pneumoniae ( S.pneumoniae), Staphylococcus aureus ( S.aureus), Klebsiella pneumoniae ( K.pneumoniae), Pseudomonas aeruginosa ( P.aeruginosa), Group A Streptococcus ( GAS), Haemophilus influenzae ( H.influenzae) and Legionella pneumophila ( L. pneumophila), in addition to Chlamydia pneumoniae ( C. pneumoniae) and Mycoplasma pneumoniae ( M. pneumoniae). A descriptive epidemiological approach was used to analyze the pathogenic composition and major epidemiological characteristics of FRS cases aged 60 years and older nationwide from 2009 to 2021. Results:The predominant viruses of FRS cases aged≥60 years accounted for 87.93% of the pathogen spectrum in China, including IFV (42.42%), HRV (16.71%), HPIV (11.53%), HCoV (9.52%), and RSV (7.75%), while the pathogen spectrum of the major bacteria accounted for 94.60%, including S. pneumoniae (25.71%), P. aeruginosa (24.97%), K. pneumoniae (22.47%), H. influenzae (12.23%), and S. aureus (9.22%). Influenza viruses have always been at the top of the viral pathogen spectrum, and P. aeruginosa, K. pneumoniae and S. pneumoniae, ranked high in the bacterial pathogen spectrum. Among them, the proportions of HRV, HPIV, RSV, K. pneumoniae, and H. influenzae fluctuated and increased during the 13 years of observation. The positive rate of any pathogen in FRS cases was higher in out patient emergencies (32.83%) than in hospitalized cases (27.26%) ( χ2 =125.89, P<0.001). The positive rate of IFV was higher in cases aged 60-74 years (13.66%). The positive rate of P. aeruginosa and K. pneumoniae were higher in cases aged ≥90 years (10.71%, 9.40%) and in northern regions (8.32%, 7.30%). The positive rate of any pathogen in FRS cases was higher in winter (33.82%) than in other seasons ( χ2=212.03, P<0.001). The positive rate of IFV and HRV were higher in winter (22.87%) and autumn (5.98%) and the positive rate of P.aeruginosa (8.11%) and K.pneumoniae (8.30%) were higher in summer. Conclusions:IFV, HRV, HPIV, S. pneumoniae, P. aeruginosa and K. pneumoniae were respectively the top three pathogens in the viral and bacterial pathogen spectrum of FRS cases aged 60 years and above in China from 2009 to 2021, and the positive rate of these main pathogens showed differences between age groups, seasons, and geographic regions. In the future, the dynamic surveillance of various pathogens in the elderly with respiratory tract infections should be continuously strengthened.

Objective:To understand the pathogenic composition and epidemiological characteristics of febrile respiratory syndrome (FRS) in elderly people aged 60 and above in China, and to provide a reference basis for the scientific and precise prevention and control of FRS in the elderly.Methods:Based on FRS cases surveillance data from information management system of National Technical Platform for Infectious Disease Surveillance, National Science and Technology Major Project of China, the surveillance pathogens included 8 viruses, including influenza virus (IFV), respiratory syncytial virus (RSV), adenovirus (HAdV), parainfluenza virus (HPIV), metapneumovirus (HMPV), coronavirus (HCoV), bocavirus and rhinovirus (HRV); 7 bacterias, namely Streptococcus pneumoniae ( S.pneumoniae), Staphylococcus aureus ( S.aureus), Klebsiella pneumoniae ( K.pneumoniae), Pseudomonas aeruginosa ( P.aeruginosa), Group A Streptococcus ( GAS), Haemophilus influenzae ( H.influenzae) and Legionella pneumophila ( L. pneumophila), in addition to Chlamydia pneumoniae ( C. pneumoniae) and Mycoplasma pneumoniae ( M. pneumoniae). A descriptive epidemiological approach was used to analyze the pathogenic composition and major epidemiological characteristics of FRS cases aged 60 years and older nationwide from 2009 to 2021. Results:The predominant viruses of FRS cases aged≥60 years accounted for 87.93% of the pathogen spectrum in China, including IFV (42.42%), HRV (16.71%), HPIV (11.53%), HCoV (9.52%), and RSV (7.75%), while the pathogen spectrum of the major bacteria accounted for 94.60%, including S. pneumoniae (25.71%), P. aeruginosa (24.97%), K. pneumoniae (22.47%), H. influenzae (12.23%), and S. aureus (9.22%). Influenza viruses have always been at the top of the viral pathogen spectrum, and P. aeruginosa, K. pneumoniae and S. pneumoniae, ranked high in the bacterial pathogen spectrum. Among them, the proportions of HRV, HPIV, RSV, K. pneumoniae, and H. influenzae fluctuated and increased during the 13 years of observation. The positive rate of any pathogen in FRS cases was higher in out patient emergencies (32.83%) than in hospitalized cases (27.26%) ( χ2 =125.89, P<0.001). The positive rate of IFV was higher in cases aged 60-74 years (13.66%). The positive rate of P. aeruginosa and K. pneumoniae were higher in cases aged ≥90 years (10.71%, 9.40%) and in northern regions (8.32%, 7.30%). The positive rate of any pathogen in FRS cases was higher in winter (33.82%) than in other seasons ( χ2=212.03, P<0.001). The positive rate of IFV and HRV were higher in winter (22.87%) and autumn (5.98%) and the positive rate of P.aeruginosa (8.11%) and K.pneumoniae (8.30%) were higher in summer. Conclusions:IFV, HRV, HPIV, S. pneumoniae, P. aeruginosa and K. pneumoniae were respectively the top three pathogens in the viral and bacterial pathogen spectrum of FRS cases aged 60 years and above in China from 2009 to 2021, and the positive rate of these main pathogens showed differences between age groups, seasons, and geographic regions. In the future, the dynamic surveillance of various pathogens in the elderly with respiratory tract infections should be continuously strengthened.

Traditional Chinese medicine(TCM) decoction pieces are a core carrier for the inheritance and innovation of TCM, and their quality and safety are critical to public health and the sustainable development of the industry. Conventional quality control models, while having established a well-developed system through long-term practice, still face challenges such as relatively long inspection cycles, insufficient objectivity in characterizing complex traits, and urgent needs for improving the efficiency of integrating multidimensional quality information when confronted with the dual demands of large-scale production and precision quality control. With the rapid development of artificial intelligence, machine learning can deeply analyze multidimensional data of the morphology, spectroscopy, and chemical fingerprints of decoction pieces by constructing high-dimensional feature space analysis models, significantly improving the standardization level and decision-making efficiency of quality evaluation. This article reviews the research progress in the application of machine learning in the processing, production, and rapid quality evaluation of TCM decoction pieces. It further analyzes current challenges in technological implementation and proposes potential solutions, offering theoretical and technical references to advance the digital and intelligent transformation of the industry.
Machine Learning ; Drugs, Chinese Herbal/standards* ; Quality Control ; Medicine, Chinese Traditional/standards* ; Humans