The chemical composition of Paeoniae Radix Alba(PRA) is complex, with primary secondary metabolites including monoterpenoids, tannins, triterpenoids, and flavonoids. In previous studies on the material basis of PRA, it was found that, in addition to the widely studied characteristic monoterpene glycosides, tannic acid components also play an important role in the efficacy of PRA. However, their pharmacological effects have not been thoroughly investigated. This paper reviews the tannic acid components in PRA, including pentagaloyl glucose(PGG), tetragaloyl glucose(TGG), trigaloyl glucose(TriGG), and gallic acid, along with their structures, properties, and characteristics to provide a detailed discussion of their pharmacological activities and related mechanisms, aiming to offer a theoretical basis for the material basis research and clinical application of PRA.
Paeonia/chemistry* ; Tannins/chemistry* ; Humans ; Drugs, Chinese Herbal/chemistry* ; Animals ; Plant Extracts

ObjectiveThe rapid advancement of bioanalytical technologies has heightened the demand for high-throughput, label-free, and real-time cellular analysis. Electrochemical impedance spectroscopy (EIS) operating in the GHz frequency range (GHz-EIS) has emerged as a promising tool for characterizing cell suspensions due to its ability to rapidly and non-invasively capture the dielectric properties of cells and their microenvironment. Although GHz-EIS enables rapid and label-free detection of cell suspensions, significant challenges remain in interpreting GHz impedance data for complex samples, limiting the broader application of this technique in cellular research. To address these challenges, this study presents a novel method that integrates GHz-EIS with deep learning algorithms, aiming to improve the precision of cell suspension concentration identification and quantification. This method provides a more efficient and accurate solution for the analysis of GHz impedance data. MethodsThe proposed method comprises two key components: dielectric property dataset construction and backpropagation (BP) neural network modeling. Yeast cell suspensions at varying concentrations were prepared and separately introduced into a coaxial sensor for impedance measurement. The dielectric properties of these suspensions were extracted using a GHz-EIS dielectric property extraction method applied to the measured impedance data. A dielectric properties dataset incorporating concentration labels was subsequently established and divided into training and testing subsets. A BP neural network model employing specific activation functions (ReLU and Leaky ReLU) was then designed. The model was trained and tested using the constructed dataset, and optimal model parameters were obtained through this process. This BP neural network enables automated extraction and analytical processing of dielectric properties, facilitating precise recognition of cell suspension concentrations through data-driven training. ResultsThrough comparative analysis with conventional centrifugal methods, the recognized concentration values of cell suspensions showed high consistency, with relative errors consistently below 5%. Notably, high-concentration samples exhibited even smaller deviations, further validating the precision and reliability of the proposed methodology. To benchmark the recognition performance against different algorithms, two typical approaches—support vector machines (SVM) and K-nearest neighbor (KNN)—were selected for comparison. The proposed method demonstrated superior performance in quantifying cell concentrations. Specifically, the BP neural network achieved a mean absolute percentage error (MAPE) of 2.06% and an R² value of 0.997 across the entire concentration range, demonstrating both high predictive accuracy and excellent model fit. ConclusionThis study demonstrates that the proposed method enables accurate and rapid determination of unknown sample concentrations. By combining GHz-EIS with BP neural network algorithms, efficient identification of cell concentrations is achieved, laying the foundation for the development of a convenient online cell analysis platform and showing significant application prospects. Compared to typical recognition approaches, the proposed method exhibits superior capabilities in recognizing cell suspension concentrations. Furthermore, this methodology not only accelerates research in cell biology and precision medicine but also paves the way for future EIS biosensors capable of intelligent, adaptive analysis in dynamic biological research.

Objective:To analyze the clinical characteristics and cytokines expression characteristics in infants with mild and severe respiratory syncytial virus (RSV) infection.Methods:From May 2023 to December 2023, plasma samples and clinical information were collected from 16 infants with RSV infection and 14 control infants. Cytek Aurora flow cytometry (Cytek, America) and Enzyme linked immunosorbent assay (ELISA) were used to detect the expression levels of 25 cytokines after mild and severe RSV infection.Results:Cough and nasal obstruction were the main clinical manifestations in infants with mild RSV infection, accompanied by polypnea, wheezing and other symptoms. The main symptoms of severe RSV infection were cough and rales, accompanied by fever and polypnea. In comparison with the control group, the expression levels of IL-2, IL-4, IL-5, IL-6, IL-9, IL-13, IL-22, TNF-α, IFN-α, IFN-β, MIP-1β, I-TAC, ENA-78, GROα, Eotaxin, and MCP-1 in the RSV infection group all exhibited an upregulation trend. Both IP-10 and MIP-3α demonstrated a downward trend in the RSV infection group; however, there was no statistically significant difference ( P>0.05). The levels of IL-10, IFN-γ, MIP-1α, and IL-8 in the RSV infection group were significantly higher than those in the control group, whereas the levels of MIG, TARC, and RANTES in the RSV infection group were significantly lower than those in the control group ( P<0.05). The levels of IL-2, IL-4, IL-5, IL-6, IL-9, IL-10, IL-13, IL-22, IFN-β, IFN-γ, TNF-α, IL-8, I-TAC, MIP-1β, Eotaxin, and MCP-1 in the mild RSV infection group were significantly higher than those in the severe RSV infection group ( P>0.05). Among these, the levels of MIG, RANTES, TARC, MIP-3α, and ENA-78 in the mild infection group were all lower than those in the severe infection group. The expressions of ENA-78 and MIP-1α in the severe infection group were significantly higher than those in the mild infection group and also higher than those in the control group. There was no significant difference in IP-10 and GROα between the mild and severe RSV infection groups ( P>0.05). Conclusions:The differences in clinical features and cytokines between infants with mild and severe RSV infection provide important data support for the prevention and treatment of RSV infection in infants.

Objective To investigate the regulatory pathway of lipid peroxidation in ferroptosis and the pathogenesis of Parkinson's disease(PD)at animal level.Methods Zebrafish PD model was established by exposure to 200 μmol/L 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine(MPTP).Zebrafish embryo in 48 h after fertilisation were grouped into a control group(n=100),a MPTP group(n=100),and a MPTP+Nomi group(1.5 μg/ml nomifensine,n=100).Behavioral analysis was performed on zebrafish in 5 d after fertilization for movement ability,rate and distance.The expression of α-synuclein and tyrosine hydroxylase in the zebrafish brain was detected by immu-nofluorescence assay to evaluate the activity of dopaminergic neurons(DA).The levels of iron,glutathione(GSH)and lipid peroxidation,which includes catalase(CAT),glutathione peroxidase 4(GPX4),lipid peroxide(LPO),malondialdehyde(MDA)and reactive oxygen species(ROS),were measured to verify whether iron deposition may cause damage to DA through the metabolic regulation mechanism of lipid peroxidation in iron death.Results Compared with the control group,the movement rate and distance were significantly reduced in the MPTP group(P＜0.01),while Nomi treatment obviously increased the movement rate and distance when compared with the MPTP group(P＜0.01).The MPTP group exhibited obvious DA damage in comparison with the control group,and Nomi treatment reversed the damage caused by MPTP.There was no sta-tistical difference in the CAT level in the three group(P＞0.05).The MPTP group had signifi-cantly increased levels of iron,LPO and MDA and decreased levels of GSH and GPX4 when com-pared with the control group(838.18±143.42 vs 478.53±112.58,P＜0.05;1.71±0.11 vs 1.48±0.14,P＜0.05;4.50±0.64 vs 4.23±0.13,P＜0.05;38.93±1.72 vs 45.97±2.32,P＜0.05;0.17±0.03 vs 0.39±0.04,P＜0.05).The MPTP+Nomi group had significantly increased levels of GSH and GPX4 and decreased levels of iron and LPO when compared with the MPTP group(40.79±1.02 vs 38.93±1.72,P＜0.05;0.26±0.05 vs 0.17±0.03,P＜0.05;326.75±110.95 vs 838.18±143.42,P＜0.05;1.01±0.27 vs 1.71±0.11,P＜0.05).The results of the ROS flow cytometry analysis showed that the percentages of ROS positive cells in the control group,MPTP group,and Nomi group were as follows:Histogram:31.6％,46.2％and 31.3％,Scatter plot:62.4％,73.0％and 65.7％,respectively.Conclusion Ferroptosis is found in PD zebrafish induced by MPTP exposure.Our study has clarified at animal level that the damage of DA caused by iron deposition is related to the metabolic mechanism of lipid peroxidation caused by iron death.

Objective To investigate the regulatory pathway of lipid peroxidation in ferroptosis and the pathogenesis of Parkinson's disease(PD)at animal level.Methods Zebrafish PD model was established by exposure to 200 μmol/L 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine(MPTP).Zebrafish embryo in 48 h after fertilisation were grouped into a control group(n=100),a MPTP group(n=100),and a MPTP+Nomi group(1.5 μg/ml nomifensine,n=100).Behavioral analysis was performed on zebrafish in 5 d after fertilization for movement ability,rate and distance.The expression of α-synuclein and tyrosine hydroxylase in the zebrafish brain was detected by immu-nofluorescence assay to evaluate the activity of dopaminergic neurons(DA).The levels of iron,glutathione(GSH)and lipid peroxidation,which includes catalase(CAT),glutathione peroxidase 4(GPX4),lipid peroxide(LPO),malondialdehyde(MDA)and reactive oxygen species(ROS),were measured to verify whether iron deposition may cause damage to DA through the metabolic regulation mechanism of lipid peroxidation in iron death.Results Compared with the control group,the movement rate and distance were significantly reduced in the MPTP group(P＜0.01),while Nomi treatment obviously increased the movement rate and distance when compared with the MPTP group(P＜0.01).The MPTP group exhibited obvious DA damage in comparison with the control group,and Nomi treatment reversed the damage caused by MPTP.There was no sta-tistical difference in the CAT level in the three group(P＞0.05).The MPTP group had signifi-cantly increased levels of iron,LPO and MDA and decreased levels of GSH and GPX4 when com-pared with the control group(838.18±143.42 vs 478.53±112.58,P＜0.05;1.71±0.11 vs 1.48±0.14,P＜0.05;4.50±0.64 vs 4.23±0.13,P＜0.05;38.93±1.72 vs 45.97±2.32,P＜0.05;0.17±0.03 vs 0.39±0.04,P＜0.05).The MPTP+Nomi group had significantly increased levels of GSH and GPX4 and decreased levels of iron and LPO when compared with the MPTP group(40.79±1.02 vs 38.93±1.72,P＜0.05;0.26±0.05 vs 0.17±0.03,P＜0.05;326.75±110.95 vs 838.18±143.42,P＜0.05;1.01±0.27 vs 1.71±0.11,P＜0.05).The results of the ROS flow cytometry analysis showed that the percentages of ROS positive cells in the control group,MPTP group,and Nomi group were as follows:Histogram:31.6％,46.2％and 31.3％,Scatter plot:62.4％,73.0％and 65.7％,respectively.Conclusion Ferroptosis is found in PD zebrafish induced by MPTP exposure.Our study has clarified at animal level that the damage of DA caused by iron deposition is related to the metabolic mechanism of lipid peroxidation caused by iron death.

Objective:To analyze the clinical characteristics and cytokines expression characteristics in infants with mild and severe respiratory syncytial virus (RSV) infection.Methods:From May 2023 to December 2023, plasma samples and clinical information were collected from 16 infants with RSV infection and 14 control infants. Cytek Aurora flow cytometry (Cytek, America) and Enzyme linked immunosorbent assay (ELISA) were used to detect the expression levels of 25 cytokines after mild and severe RSV infection.Results:Cough and nasal obstruction were the main clinical manifestations in infants with mild RSV infection, accompanied by polypnea, wheezing and other symptoms. The main symptoms of severe RSV infection were cough and rales, accompanied by fever and polypnea. In comparison with the control group, the expression levels of IL-2, IL-4, IL-5, IL-6, IL-9, IL-13, IL-22, TNF-α, IFN-α, IFN-β, MIP-1β, I-TAC, ENA-78, GROα, Eotaxin, and MCP-1 in the RSV infection group all exhibited an upregulation trend. Both IP-10 and MIP-3α demonstrated a downward trend in the RSV infection group; however, there was no statistically significant difference ( P>0.05). The levels of IL-10, IFN-γ, MIP-1α, and IL-8 in the RSV infection group were significantly higher than those in the control group, whereas the levels of MIG, TARC, and RANTES in the RSV infection group were significantly lower than those in the control group ( P<0.05). The levels of IL-2, IL-4, IL-5, IL-6, IL-9, IL-10, IL-13, IL-22, IFN-β, IFN-γ, TNF-α, IL-8, I-TAC, MIP-1β, Eotaxin, and MCP-1 in the mild RSV infection group were significantly higher than those in the severe RSV infection group ( P>0.05). Among these, the levels of MIG, RANTES, TARC, MIP-3α, and ENA-78 in the mild infection group were all lower than those in the severe infection group. The expressions of ENA-78 and MIP-1α in the severe infection group were significantly higher than those in the mild infection group and also higher than those in the control group. There was no significant difference in IP-10 and GROα between the mild and severe RSV infection groups ( P>0.05). Conclusions:The differences in clinical features and cytokines between infants with mild and severe RSV infection provide important data support for the prevention and treatment of RSV infection in infants.

OBJECTIVE: To explore the immunological mechanisms underlying spermatogenetic malfunction in patients with non-obstructive azoospermia (NOA) based on bioinformatics and machine learning, and to screen out the key genes associated with spermatogenesis failure. METHODS: NOA-related datasets were obtained from the GEO database, and the differentially expressed genes identified by differential analysis and weighted gene co-expression network analysis (WGCNA). A model of spermatogenesis scoring was established for analysis of the immunological microenvironment and cell interaction networks related to spermatogenesis failure. The key genes were screened out by machine learning, followed by analysis of their correlation with T cells and macrophages. An NOA mouse model was constructed for validation of transcriptome sequencing. RESULTS: Seventy-five differentially expressed genes were identified for the establishment of the spermatogenesis scoring model. The low spermatogenesis score group showed a higher infiltration of the immune cells, with an increased proportion of T cells and macrophages and a correlation of cell interaction signals with immunity. SOX30, KCTD19, ASRGL1 and DRC7 were identified by machine learning as the key genes related to spermatogenesis, with down-regulated expressions in the NOA group, and their expression levels negatively correlated with the infiltration of T cells and macrophages. The accuracy of the spermatogenesis scoring and machine learning models, as well as the trend of the expression levels of the key genes, was successfully validated with the transcriptome sequencing data on the NOA mouse testis. CONCLUSION The development of NOA is closely associated with enhanced immunological microenvironment in the testis. T cells and macrophages may play important roles in spermatogenesis failure. SOX30, KCTD19, ASRGL1 and DRC7 are potential biomarkers for the diagnosis and treatment of NOA.
Male ; Azoospermia/genetics* ; Machine Learning ; Animals ; Computational Biology ; Mice ; Humans ; Spermatogenesis/genetics* ; Gene Expression Profiling ; Macrophages/immunology* ; Gene Regulatory Networks ; T-Lymphocytes/immunology* ; Transcriptome

Traumatic supraorbital fissure syndrome (TSOFS) is a symptom complex caused by nerve entrapment in the supraorbital fissure after skull base trauma. If the compressed cranial nerve in the supraorbital fissure is not decompressed surgically, ptosis, diplopia and eye movement disorder may exist for a long time and seriously affect the patients′ quality of life. Since its overall incidence is not high, it is not familiarized with the majority of neurosurgeons and some TSOFS may be complicated with skull base vascular injury. If the supraorbital fissure surgery is performed without treatment of vascular injury, it may cause massive hemorrhage, and disability and even life-threatening in severe cases. At present, there is no consensus or guideline on the diagnosis and treatment of TSOFS that can be referred to both domestically and internationally. To improve the understanding of TSOFS among clinical physicians and establish standardized diagnosis and treatment plans, the Skull Base Trauma Group of the Neurorepair Professional Committee of the Chinese Medical Doctor Association, Neurotrauma Group of the Neurosurgery Branch of the Chinese Medical Association, Neurotrauma Group of the Traumatology Branch of the Chinese Medical Association, and Editorial Committee of Chinese Journal of Trauma organized relevant experts to formulate Chinese expert consensus on the diagnosis and treatment of traumatic supraorbital fissure syndrome ( version 2024) based on evidence of evidence-based medicine and clinical experience of diagnosis and treatment. This consensus puts forward 12 recommendations on the diagnosis, classification, treatment, efficacy evaluation and follow-up of TSOFS, aiming to provide references for neurosurgeons from hospitals of all levels to standardize the diagnosis and treatment of TSOFS.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.