ObjectiveTo establish a high-performance liquid chromatography（HPLC） for the quantitative analysis of multiple components in Gegen Qinlian tablets， and to comprehensively evaluate the quality of samples from different manufacturers by integrating chemical pattern recognition and technique for order preference by similarity to ideal solution（TOPSIS）， in order to provide a reference basis for quality evaluation and control of Gegen Qinlian tablets. MethodsHPLC was employed to determine the contents of 10 components in 28 batches of Gegen Qinlian tablets collected from 6 manufacturers， and taking the detection results as variables， SIMCA 14.1 and SPSS 26.0 were employed for cluster analysis（CA）， principal component analysis（PCA）， and orthogonal partial least squares-discriminant analysis（OPLS-DA） to identify key components affecting the quality. Then， TOPSIS analysis was employed to rank the quality of Gegen Qinlian tablets from the 6 manufacturers and establish a comprehensive quality evaluation method. ResultsA quantitative method for Gegen Qinlian tablets was established. After methodological validation， the method was found to be stable and reliable， and could be used for the quantitative analysis of this preparation. The contents of 3′-hydroxy puerarin， puerarin， 3′-methoxy puerarin， daidzein， coptisine hydrochloride， epiberberine， jatrorrhizine hydrochloride， berberine hydrochloride， palmatine hydrochloride and baicalin in 28 batches of samples were 3.58-7.35， 24.88-42.32， 4.20-9.36， 4.33-7.60， 2.52-6.44， 0.93-4.10， 0.58-3.05， 10.68-22.92， 0.82-4.82， 11.73-60.16 mg·g^-1， respectively. Among them， puerarin， berberine hydrochloride and baicalin all met the limit requirements for this preparation specified in the 2025 edition of the Pharmacopoeia of the People's Republic of China. CA and PCA clustered the 28 batches of samples into 5 categories， PCA extracted 2 principal components with a cumulative variance contribution rate of 90.588%， and OPLS-DA screened out 4 differential markers with variable importance in the projection（VIP） values>1.0， namely baicalin， 3′-hydroxy puerarin， coptisine hydrochloride and palmatine hydrochloride， which might be the main components affecting the quality of Gegen Qinlian tablets. TOPSIS analysis showed that the comprehensive score of each evaluation index（C_i） values of different manufacturers were different. Among them， the C_i of manufacturer B was ranked higher， indicating potentially superior quality， while the C_i of manufacturer A was ranked lower， suggesting potentially inferior quality. ConclusionThis study establishes a quantitative method for Gegen Qinlian tablets， and the content uniformity of the same manufacturer is good， while there are differences in the contents of active components among different manufacturers. Through the chemical pattern recognition analysis， it is found that the content differences of Gegen Qinlian tablets may be related to baicalin， 3′-hydroxy puerarin， coptisine hydrochloride and palmatine hydrochloride.

Traditional Chinese Medicine (TCM), as a treasure of the Chinese nation, plays a significant role in maintaining public health. In 2019, the Central Committee of the Communist Party of China and the State Council proposed for the first time the establishment of a TCM registration and evaluation evidence system that integrates TCM theory, "personal experience" and clinical trials (referred to as the "Three-in-One" System) to promote the inheritance and innovation of TCM. Subsequently, the National Medical Products Administration issued several guiding principles to advance the improvement and implementation of this system. Owing to the complexity of its implementation, there are still differing understandings within the TCM industry regarding the positioning of the "Three-in-One" Registration and Evaluation Evidence System, as well as the connotation and value orientation of the "personal experience." To address this, Academician WANG Qi, President of the TCM Association, China International Exchange and Promotion Association for Medical and Healthcare and TCM master, led a group of academicians, TCM masters, TCM pharmacology experts and clinical TCM experts to convene a "Seminar on Promoting the Implementation of the ′Three-in-One′ Registration and Evaluation Evidence System for Chinese Medicinals." Through extensive discussions, an expert consensus was formed, clarifying the different roles of the TCM theory, "personal experience" and clinical trials within the system. It was further emphasized that the "personal experience" is the core of this system, and its data should be derived from clinical practice scenarios. In the future, the improvement of this system will require collaborative efforts across multiple fields to promote the high-quality development of the Chinese medicinal industry.

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

Medical institutions, with their clinical practice foundation and abundant human use experience data, have become important carriers for the inheritance and innovation of traditional Chinese medicine(TCM) and the "cradles" of the preparation of new TCM. To effectively promote the transformation of new TCM originating from the TCM clinical practice in medical institutions and establish an effective evaluation index system for the transformation of new TCM conforming to the characteristics of TCM, consensus experts adopted the literature research, questionnaire survey, Delphi method, etc. By focusing on the policy and technical evaluation of new TCM originating from the TCM clinical practice in medical institutions, a comprehensive evaluation from the dimensions of drug safety, efficacy, feasibility, and characteristic advantages was conducted, thus forming a comprehensive evaluation system with four primary indicators and 37 secondary indicators. The expert consensus reached aims to encourage medical institutions at all levels to continuously improve the high-quality research and development and transformation of new TCM originating from the TCM clinical practice in medical institutions and targeted at clinical needs, so as to provide a decision-making basis for the preparation, selection, cultivation, and transformation of new TCM for medical institutions, improve the development efficiency of new TCM, and precisely respond to the public medication needs.
Medicine, Chinese Traditional/standards* ; Humans ; Consensus ; Drugs, Chinese Herbal/therapeutic use* ; Surveys and Questionnaires

Objective By combining biological detection and imaging evaluation, a clinical prediction model is constructed based on a large cohort to improve the accuracy of distinguishing between benign and malignant pulmonary nodules. Methods A retrospective analysis was conducted on the clinical data of the 32 627 patients with pulmonary nodules who underwent chest CT and testing for 7 types of lung cancer-related serum autoantibodies (7-AABs) at our hospital from January 2020 to April 2024. The univariate and multivariate logistic regression models were performed to screen independent risk factors for benign and malignant pulmonary nodules, based on which a nomogram model was established. The performance of the model was evaluated using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). Results A total of 1 017 patients with pulmonary nodules were included in the study. The training set consisted of 712 patients, including 291 males and 421 females, with a mean age of (58±12) years. The validation set included 305 patients, comprising 129 males and 176 females, with a mean age of (58±13) years. Univariate ROC curve analysis indicated that the combination of CT and 7-AABs testing achieved the highest area under the curve (AUC) value (0.794), surpassing the diagnostic efficacy of CT alone (AUC=0.667) or 7-AABs alone (AUC=0.514). Multivariate logistic regression analysis showed that radiological nodule diameter, nodule nature, and CT combined with 7-AABs detection were independent predictors, which were used to construct a nomogram prediction model. The AUC values for this model were 0.826 and 0.862 in the training and validation sets, respectively, demonstrating excellent performance in DCA. Conclusion The combination of 7-AABs with CT significantly enhances the accuracy of distinguishing between benign and malignant pulmonary nodules. The developed predictive model provides strong support for clinical decision-making and contributes to achieving precise diagnosis and treatment of pulmonary nodules.

A retrospective analysis of clinical data of 8 patients with PICALM::MLLT10 (P/M) fusion gene-positive acute myeloid leukemia (AML) diagnosed by transcriptome sequencing (RNA-seq) at the First Affiliated Hospital of Soochow University from June 2017 to March 2023 was performed. Laboratory findings and treatment status were analyzed, and survival analysis was performed using the Kaplan-Meier method. The 8 patients included 5 males and 3 females, aged 16-35 years, with a median age of 27 years. The platelet count of patients was normal, and 3 patients had mild to moderate anemia. Extramedullary infiltration was present in all patients with clinical manifestations, including 5 patients with mediastinal masses, 2 patients with hepatosplenomegaly, 1 patient with central nervous system leukemia, and 1 patient with cervical lymph node enlargement. Karyotypical analysis revealed 7 patients with an abnormal karyotype, including 6 cases of complex karyotypes. Of these, 4 patients harbored the t(10;11) translocation. The complete remission rate of induction chemotherapy in the patients was 7/8, and 2 patients experienced early recurrence. All patients subsequently underwent allogeneic hematopoietic stem cell transplantation (allo-HSCT), The follow-up period ranged from 86 to 812 days, with a median of 330 days. Among the 8 patients, 3 survived and 5 died due to recurrence. Relapse and death only occurred in the P/M fusion gene-positive patients after transplantation. The overall survival rate at 1 year after transplantation was 37.5%. P/M +AML has the characteristics of young age at onset, normal platelet count, high incidence of extramedullary infiltration, and high proportion of complex karyotype. RNA-seq can significantly improve the detection rate of this disease type. Allo-HSCT can partially improve the prognosis of P/M +AML, and P/M positivity after transplantation can be a warning sign of recurrence, which is an important factor affecting survival.

Objective To explore the visualization effect of different walking fibers and anatomical positions of the basal nucleus in the postcentral gyrus based on the diffusion tensor imaging(DTI)fiber bundle of the precentral gyrus and internal capsule reconstruction model.Methods A set of diffusion tensor volume(DTV)data was used to visualize and export a mesh model by a 3DSlicense 5.6.2 software.The basal nucleus were reconstructed by 3DSlicense through T1W1 data from the same scan,and exported the mesh model,and thus imported the above model into DTIANALYSIS 1.51 software for visualization.By adjusting the RGB component threshold,the fiber bundles were screened to obtain fiber bundles that mainly run left and right,front and back,and up and down.The anatomical relationship between the fiber bundles and the basal nucleus was observed.Results The fiber bundles originating from the precentral gyrus were mainly distributed in the inner and lower parts,and run above and outside the basal nucleus;The fiber bundles that mainly run forward and backward are distributed on the outer side and run on the outer side of the basal nucleus;The fiber bundles that mainly run up and down were distributed in the upper and middle parts of the precentral gyrus,with some fibers running towards the hypothalamus.They intersect in the corpus callosum and ventral pons,and run along the posterior part of the space between the lentiform nucleus and the dorsal thalamus.Conclusion Based on the RGB components in DTI,fibers with different walking directions in the precentral gyrus can be screened to display their anatomical position relationship with the basal ganglia.

Objective:To explore the changes of serum histone deacetylase 2 (HDAC2), lonely G protein-coupled receptor ligand (Apelin) and B-type brain natriuretic peptide (BNP) in patients with chronic obstructive pulmonary disease (COPD) and the predictive value for prognosis.Methods:A retrospective selection was made of 100 COPD patients (COPD group) admitted to the Fourth People's Hospital of Langfang from May 2022 to May 2023 and 50 healthy individuals who underwent physical examinations during the same period (healthy control group) as the research subjects. The levels of serum HDAC2, Apelin and BNP in the two groups were compared. The levels of HDAC2, Apelin and BNP in COPD patients with different clinical characteristics were compared. The correlation among serum HDAC2, Apelin and BNP in COPD patients were analyzed by Spearman test. The predictive value of serum HDAC2, Apelin and BNP for the prognosis of patients with COPD was analyzed by the receiver operating characteristic (ROC) curve.Results:The level of HDAC2 in the COPD group was lower than that in the healthy control group, the levels of Apelin and BNP were higher than those in the healthy control group: (2.38 ± 0.56) U/L vs. (7.51 ± 1.33) U/L, (491.62 ± 53.82) ng/L vs. (337.19 ± 46.52) ng/L, (211.05 ± 23.46) ng/L vs. (37.52 ± 4.32) ng/L, there were statistical differences ( P<0.05). COPD patients with different clinical characteristics, including those in acute exacerbation and stable stages, mild, moderate and severe cases, COPD patients with pulmonary function grades Ⅱ, Ⅲ and Ⅳ, COPD patients with and without pulmonary hypertension, and patients with poor prognosis and good prognosis, there were statistically significant differences in the levels of HDAC2, Apelin and BNP ( P<0.05). The Spearman test results indicated that in COPD patients, serum HDAC2 was negatively correlated with Apelin ( r = - 0.469, P = 0.001), HDAC2 was negatively correlated with BNP ( r = - 0.435, P = 0.001), and Apelin was positively correlated with BNP ( r = 0.418, P = 0.001). The results of ROC curve analysis indicated that the combined detection of HDAC2, Apelin and BNP had the highest area under the curve for predicting the prognosis of COPD patients (0.954), with a sensitivity of 81.66%. Conclusions:COPD patients have lower HDAC2 and higher Apelin and BNP levels. The three indicators are correlated to a certain extent, and their levels are closely related to the clinical characteristics of patients. The combined detection of the three indicators can be used as important predictive indicators for the prognosis of COPD patients.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

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.