As a complex autoimmune disease， rheumatoid arthritis （RA） involves immune microenvironment dysregulation resulting from excessive activation of pyroptosis， which is a crucial factor in disease progression. Based on the theory of ying-wei in traditional Chinese medicine， "ying decline and wei attack" is considered the fundamental pathogenesis of RA. Pyroptosis serves as a microscopic manifestation of this concept， suggesting a potential correlation between "ying decline and wei attack" and pyroptosis nd immune microenvironment dysregulation in RA. Accordingly， treatment principles based on this theory are proposed： in the early stage of the disease， boosting wei to consolidate the exterior， and regulating ying to dispel pathogens； in the middle and late stages， harmonizing ying to remove stagnation， and nourishing its transformational source.

ObjectiveTo establish a model that can quickly identify the aroma components in different parts of Nardostachys jatamansi， so as to provide a quality control basis for the market circulation and clinical use of N. jatamansi. MethodsHeadspace solid-phase microextraction-gas chromatography-mass spectrometry（HS-SPME-GC-MS） combined with Smart aroma database and National Institute of Standards and Technology（NIST） database were used to characterize the aroma components in different parts of N. jatamansi， and the aroma components were quantified according to relative response factor（RRF） and three internal standards， and the markers of aroma differences in different parts of N. jatamansi were identified by orthogonal partial least squares-discriminant analysis（OPLS-DA） and cluster thermal analysis based on variable importance in the projection（VIP） value >1 and P<0.01. The odor data of different parts of N. jatamansi were collected by Heracles Ⅱ Neo ultra-fast gas phase electronic nose， and the correlation between compound types of aroma components collected by the ultra-fast gas phase electronic nose and the detection results of HS-SPME-GC-MS was investigated by drawing odor fingerprints and odor response radargrams. Chromatographic peak information with distinguishing ability≥0.700 and peak area≥200 was selected as sensor data， and the rapid identification model of different parts of N. jatamansi was established by principal component analysis（PCA）， discriminant factor alysis（DFA）， soft independent modeling of class analogies（SIMCA） and statistical quality control analysis（SQCA）. ResultsThe HS-SPME-GC-MS results showed that there were 28 common components in the underground and aboveground parts of N. jatamansi， of which 22 could be quantified and 12 significantly different components were screened out. Among these 12 components， the contents of five components（ethyl isovalerate， 2-pentylfuran， benzyl alcohol， nonanal and glacial acetic acid，） in the aboveground part of N. jatamansi were significantly higher than those in the underground part（P<0.01）， the contents of β-ionone， patchouli alcohol， α-caryophyllene， linalyl butyrate， valencene， 1，8-cineole and p-cymene in the underground part of N. jatamansi were significantly higher than those in the aboveground part（P<0.01）. Heracles Ⅱ Neo electronic nose results showed that the PCA discrimination index of the underground and aboveground parts of N. jatamansi was 82， and the contribution rates of the principal component factors were 99.94% and 99.89% when 2 and 3 principal components were extracted， respectively. The contribution rate of the discriminant factor 1 of the DFA model constructed on the basis of PCA was 100%， the validation score of the SIMCA model for discrimination of the two parts was 99， and SQCA could clearly distinguish different parts of N. jatamansi. ConclusionHS-SPME-GC-MS can clarify the differential markers of underground and aboveground parts of N. jatamansi. The four analytical models provided by Heracles Ⅱ Neo electronic nose（PCA， DFA， SIMCA and SQCA） can realize the rapid identification of different parts of N. jatamansi. Combining the two results， it is speculated that terpenes and carboxylic acids may be the main factors contributing to the difference in aroma between the underground and aboveground parts of N. jatamansi.

ObjectiveThis study aims to explore the mechanism of action of Huangqi Guizhi Wuwutang in treating rheumatoid arthritis （RA）-associated sarcopenia by regulating autophagy and improving skeletal muscle homeostasis based on network pharmacology，bioinformatics，machine learning，and animal experiments. MethodsActive ingredients and targets of Huangqi Guizhi Wuwutang were screened using the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP），PubChem，and SwissTargetPrediction databases. RA-related datasets were retrieved from the GEO database，and differential genes were screened. Sarcopenia-related targets were searched through GeneCards and the Comparative Toxicology Database （CTD），and autophagy-related gene sets were downloaded from the Human Autophagy Database （HADb）. Their intersection was analyzed to identify autophagy-related therapeutic targets，followed by enrichment analysis. A protein-protein interaction （PPI） network was constructed using the STRING database，and key targets were selected using multiple methods. Machine learning was applied to predict models based on the expression profiles of intersecting targets，and nomogram models were constructed based on key targets. Molecular docking of the top four active ingredients with key targets was performed using AutoDockVina. A collagen-induced arthritis （CIA） rat model was established using bovine type Ⅱ collagen，with SD rats divided into groups including a blank group，a model group，and low-，medium-，and high-dose groups of Huangqi Guizhi Wuwutang （2.44，4.88，and 9.76 g·kg^-1） and administered for five consecutive weeks. Joint scores and gastrocnemius muscle mass were recorded and analyzed after modeling. Hematoxylin and eosin （HE） staining and Masson's staining were used to observe pathological changes in muscle tissue. Immunofluorescence staining was applied to observe the protein expression levels of myosin heavy chain （MYHC） and insulin-like growth factor-1 （IGF-1） in skeletal muscle. Western blot was used to detect the protein expression levels of autophagy-related proteins ATG5，Beclin1，LC3B，muscle-specific proteins （MuRF1），MaFbx，and MYHC. Real-time quantitative reverse transcription PCR （Real-time PCR） was performed to measure the mRNA expression levels of ATG5，Beclin1，LC3B，MuRF1，MaFbx，and MYHC in muscle tissue. ResultsNetwork pharmacology revealed that Huangqi Guizhi Wuwutang shared 25 common targets with autophagy genes related to RA-associated sarcopenia. The PPI network and machine learning identified six key targets，which were primarily involved in autophagy and inflammatory pathways. Animal experiments showed that compared to the blank group，the model group had significantly higher joint scores （P<0.01） and lower gastrocnemius muscle index （P<0.01）. HE staining indicated a significant reduction in the cross-sectional area of gastrocnemius muscle fibers，with notable inflammatory cell infiltration and muscle atrophy in the model group. Masson's staining revealed obvious collagen fiber proliferation and deposition，with significant muscle fibrosis in the model group. The protein and mRNA expression levels of ATG5，Beclin1，LC3B，MuRF1，and MaFbx were significantly increased （P<0.01），while the protein expression of MYHC and IGF1 was significantly downregulated （P<0.01）. Compared with the model group，the high-dose group of Huangqi Guizhi Wuwutang showed significantly reduced protein and mRNA expression levels of ATG5，Beclin1，LC3B，MuRF1，and MaFbx （P<0.01） and increased protein expression levels of MYHC and IGF1 （P<0.01）. The cross-sectional area of muscle fibers increased，and the muscle cell morphology approached normal. Moreover，pathological abnormalities in the gastrocnemius muscle were significantly improved，with reduced collagen fiber proliferation （P<0.01）. ConclusionHuangqi Guizhi Wuwutang can mediate autophagy by regulating the expression of ATG5，Beclin1，LC3B，and IGF1，thereby reducing skeletal muscle catabolism and improving skeletal muscle homeostasis，which contributes to the treatment of RA-associated sarcopenia. The findings provide insight into the mechanisms underlying the effects of Huangqi Guizhi Wuwutang in the treatment of RA-related sarcopenia and offer a reference for its enhanced clinical application.

Objective:To investigate the status and influencing factors of substantial weight retention in patients with gestational diabetes mellitus (GDM) in early postpartum.Methods:This cross-sectional study employed a convenience sampling method to select 373 patients with GDM who underwent a 6-week postpartum health check at the Postpartum Health Clinic of Women′s Hospital of Nanjing Medical University from February to July in 2023. According to postpartum weight retention (PPWR) on the survey day, the participants were divided into a substantial PPWR group (≥5 kg, 139 cases) and a non-substantial PPWR group (<5 kg, 234 cases). Independent sample t-tests and χ2 tests were used to compare differences in demographic data, clinical data, and biochemical indicators between the two groups. Binary logistic regression was used to analyze the influencing factors of early substantial postpartum weight retention in patients with GDM. Results:A total of 37.27% (139/373) of GDM patients experienced substantial postpartum weight retention at 6 weeks postpartum. The rates of diabetes in family history, excessive gestational weight gain, gestational hypertension, and infant neonatal intensive care unit (NICU) admission in substantial PPWR group were all significantly higher than those in the non-substantial PPWR group (32.37% vs 23.08%, 73.38% vs 20.09%, 13.67% vs 5.56%, 21.58% vs 9.83%) (all P<0.05); but the proportion of overweight or obese before pregnancy and postpartum self-monitoring of blood glucose were both lower in the substantial PPWR group than those in the non-substantial PPWR group (25.18% vs 41.03%, 17.99% vs 27.78%)(all P<0.05). Binary logistic regression indicated that family history of diabetes ( OR=2.826, 95% CI: 1.517-5.265), excessive gestational weight gain ( OR=19.240, 95% CI: 10.360-35.732), and infant NICU admission ( OR=2.447, 95% CI: 1.150-5.205) were positively related to the occurrence of substantial weight retention in patients with GDM in early postpartum, whereas pre-pregnancy overweight or obesity ( OR=0.189, 95% CI: 0.100-0.360) was negatively correlated to substantial weight retention in patients with GDM in early postpartum (all P<0.05). Conclusion:Substantial weight retention is prevalent among GDM patients in early postpartum, which is significantly influenced by family history of diabetes, pre-pregnancy overweight or obesity, excessive gestational weight gain, and infant NICU admission history.

Acute pancreatitis(AP)is a frequently encountered acute abdominal syndrome in clinical settings,and the integrated model of traditional Chinese and Western medicine(TCM-WM)has demonstrated notable advantages in the diagnosis and treatment of AP.To systematize and standardize clinical practices related to develop clinical pathway for integrated TCM-WM diagnosis and treatment of AP,which enhances the efficiency and quality of patient care.This pathway focuses on AP,a common acute and life-threatening disease within the digestive system,and outlines that the central pathological mechanism involves pancreatic injury and localized inflammation resulting from the abnormal activation of pancreatic enzymes.It has the characteristics of rapid onset,multiple causes,and complex manifestations.Severe cases can be life-threatening.At present,conventional treatments encompass a diverse range of modalities.Moreover,traditional Chinese medicine(TCM)holds distinct advantages in alleviating relevant symptoms,and TCM-WM is gaining increasing prevalence.To enhance the standardization and consistency of diagnostic and therapeutic practices,this clinical pathway clearly delineates the target patient population,which includes individuals diagnosed with abdominal pain disorder according to TCM and with AP in accordance with WM criteria,as well as the corresponding inclusion standards.The diagnostic framework integrates both TCM and WM guidelines,and further incorporates disease staging,severity grading,and syndrome differentiation to support a comprehensive and integrated diagnostic strategy.The treatment integrates approaches from both TCM and WM.Within the WM framework,interventions consist of basic supportive care,infection control,nutritional support,and the management of complications.In the context of TCM,the protocol includes syndrome differentiation and corresponding therapeutic strategies(Distinct syndrome patterns are identified and managed during the acute and convalescent phases),such as acupuncture and retention enema.This clinical pathway addresses multiple key components,including preventive strategies,post-treatment follow-up,criteria for evaluating therapeutic efficacy,admission and discharge,admission examination protocols,discharge criteria,and the rationale for deviations or withdrawal from the pathway.It is designed to provide a systematic and standardized reference framework for relevant clinical practices.

Objective To investigate the distribution of dense fine speckled(DFS)antinuclear antibody(ANA)in different ages,genders,and diseases,and to explore its clinical significance in the diagnosis of auto-immune disease(AID).Methods A retrospective summary was conducted on the clinical basic data of 53520 patients who visited the hospital from January 2022 to April 2024,as well as the results of indirect immunoflu-orescence(IIF)ANA fluorescence karyotype and titer,and immunoblotting ANA spectrum,and the relation-ship between DFS positivity and AID was analyzed.Results Of the 53 520 serum samples,the rate of ANA fluorescence positivity was 32.40％,with DFS-positive samples accounting for 1.18％of all ANA fluores-cence-positive samples.The male-to-female ratio of DFS positives was 1∶1.94,with the highest percentage of 51.9％in the 21-40 age group.Among DFS positive individuals,only 12.14％were clinically diagnosed with AID disease,significantly lower than other ANA fluorescent karyotype positive individuals(23.31％,P＜0.001).The overall positivity rate of ANA spectra using immunoblotting in DFS-positive individuals was 23.54％,which was significantly lower than that in other fluorescent karyotype positive ANA individuals(73.26％,P＜0.001).Moreover,DFS positive individuals were mainly accompanied by antibody positivity such as anti-Ro52 antibodies,which had no diagnostic specificity in AID diagnosis.When comparing DFS posi-tive individuals with similar fluorescence morphology to those with homogeneous nuclear granules and nuclei,at an ANA titer of 1∶100,the proportion of AID patients in homogeneous nuclear granules and nuclei was 20.04％,significantly higher than the proportion of AID patients in DFS positive individuals(9.44％,P=0.001).With the increase of ANA titer,the proportion of AID diseases significantly increased in both karyo-type samples.When the ANA titer of DFS positive samples was increased to ≥ 1∶320,the proportion of AID diseases significantly increased to 30.77％(P=0.002).Conclusion DFS is a rare ANA fluorescent karyo-type,and DFS positive individuals are mainly found in females aged 21-40,mostly non AID patients.Howev-er,high titers of DFS cannot rule out the possibility of AID.In clinical work,special attention should be paid to distinguishing it from the homogeneous nuclear granule type to avoid misdiagnosis.

Objective:To predict the therapeutic targets and potential mechanism of Yi medicine Tiaojing Yangyan Capsules in treating primary dysmenorrhea, menstrual disorders and oligomenorrhea using UPLC-Q-TOF-MS combined with network pharmacology.Methods:Using UPLC-Q-TOF-MS method, the chemical components in Tiaojing Yangyan Capsules were identified through automatic matching and retrieval from Waters UNIFI Chinese Materia Medica Database based on chromatographic peak retention time, precise relative molecular weight, characteristic fragment ions, and other information. TCMSP and SwissTarget Prediction databases were used to obtain chemical component targets, constructing a "drug-active component-target-disease" visual regulatory network and PPI network through databases such as GeneCards, DrugBank, TTD, PharmGKB, and Cytoscape 3.8.0 software. Metascape database was used to perform GO functional and KEGG pathway enrichment analysis on intersecting targets, and the potential mechanism of Tiaojing Yangyan Capsules in the treatment of primary dysmenorrhea was predicted.Results:Totally 67 components components were analyzed and identified from the Tiaojing Yangyan Capsules, which acted on 350 targets related to primary dysmenorrhea and menstrual disorders. The 15 main active components, including Ginsenoside Rg1, Ginsenoside Re, and Notoginsenoside Fe, targeted key proteins such as TNF, HSP90AA1, and STAT3, which would treat primary dysmenorrhea by regulating pathways such as the PI3K-Akt, FoxO, and Calcium.Conclusion:Tiaojing Yangyan Capsules may alleviate inflammatory reactions, alter hormone levels, regulate ovarian function, promote blood circulation, remove blood stasis, and regulate qi and blood through multiple components, targets, and pathways, thereby playing a preventive and therapeutic role in primary dysmenorrhea, menstrual disorders, and other conditions.

Objective:To investigate the predictive value of refeeding syndrome (RFS) and its influencing factors for 30-day intensive care unit (ICU) readmission in critically ill patients.Methods:A prospective cohort study was conducted. Critically ill patients admitted to the department of critical care medicine, department of respiratory and critical care medicine, and department of neurology at Tianjin Medical University General Hospital from January to April in 2025 were enrolled. Patients were assessed for RFS according to the American Society for Parenteral and Enteral Nutrition (ASPEN) criteria. General information within 24 hours of ICU admission was collected via the electronic medical record system. Treatment details and 30-day ICU readmission status were dynamically recorded. Participants were divided into readmission and non-readmission groups based on whether ICU readmission occurred within 30 days. Intergroup comparisons were performed to identify differences. Multivariate Logistic regression was used to analyze the relationship between RFS and its influencing factors with 30-day ICU readmission. Receiver operator characteristic curve (ROC curve) was plotted to evaluate the predictive performance of risk factors.Results:A total of 196 critically ill patients were enrolled, among whom 25 (12.76%) were readmitted to ICU within 30 days and 171 (87.24%) were not. Significant differences were observed in the readmission group compared with the non-readmission group, including significantly higher rates of nasogastric decompression, higher acute physiology and chronic health evaluation Ⅱ (APACHEⅡ) score, a higher incidence of RFS, and a longer duration of nasogastric decompression. Multivariate Logistic regression analysis showed that RFS was an independent risk factor for 30-day ICU readmission [odds ratio ( OR) = 5.756, 95% confidence interval (95% CI) was 1.603-20.670, P = 0.007]. APACHEⅡ score showed a positive correlation trend with 30-day ICU readmission ( OR = 1.057, 95% CI was 0.991-1.127, P = 0.092). ROC curve analysis showed that the combined prediction model incorporating RFS and APACHEⅡ score had an area under the ROC curve (AUC) of 0.766 (95% CI was 0.668-0.864), with a sensitivity of 88.0% and a specificity of 62.0%, which was significantly superior to a single indicator (the AUC of RFS and APACHEⅡ score was 0.639 and 0.624, respectively). Conclusions:RFS significantly increases the risk of 30-day ICU readmission in critically ill patients. A combined model incorporating RFS and APACHEⅡ score demonstrates good predictive efficacy for 30-day ICU readmission in critically ill patients.

Objective To analyze the medication rules of traditional Chinese medicine in treating breast cancer based on real-world data mining.Methods Inpatients with breast cancer who received traditional Chinese medicine treatment at the Affiliated Hospital of Chengdu University of Traditional Chinese Medicine from January 2017 to December 2021 were selected.Python 3.10 software was used to mine traditional Chinese medicine prescription data;SPSS 23.0 software was applied for descriptive analysis,and systematic cluster analysis was performed on high-frequency drugs.Results A total of 3026 consultation records of inpatients with breast cancer were collected.The main traditional Chinese medicine syndrome diagnosis of"predominantly liver depression and Qi stagnation"accounted for 60.94％of the total consultations.A total of 240 kinds of traditional Chinese medicine were used,with a cumulative frequency of 35 462 times.Among them,29 kinds of traditional Chinese medicine such as Danggui,Fuling,Baizhu,Chaihu had a cumulative usage frequency exceeding 300 times.Regarding the four natures of drugs,cold-natured(43.55％),warm-natured(30.05％),and neutral-natured(23.34％)drugs were predominant;In terms of five flavors,sweet(46.12％),bitter(30.91％),and pungent(20.02％)were the main ones.The most frequently used drugs were tonifying herbs(32.77％),followed by heat-clearing herbs(15.96％)and phlegm-resolving herbs(14.71％).Systematic cluster analysis yielded 7 groups of drug combinations.Conclusion In real-world clinical practice,traditional Chinese medicine for breast cancer mainly uses tonifying herbs,reflecting the traditional Chinese medicine principle of"strengthening healthy Qi and cultivating the root"in treating tumors.The four natures and five flavors of drugs follow syndrome differentiation and the combination of cold and heat.The clustered drug combinations have extensive therapeutic effects,covering various syndromes of breast cancer at different stages,which can provide a reference for clinical medication.

Objective:To explore the current status of presenteeism among ICU nurses and its correlation with resilience-related practice environment.Methods:Convenience sampling was adopted to select 434 ICU nurses from Beijing Tiantan Hospital, Capital Medical University in October 2022 as study subjects. An online questionnaire was conducted using the General Information Questionnaire, Chinese version of the Standford Presenteeism Scale-6 (SPS-6), and Nurse Resilience-related Practice Environment Factor Assessment Scale. Pearson correlation and multiple linear regression analysis were used to explore the relationship between ICU nurses' resilience-related practice environment and presenteeism.Results:Among ICU nurses, the total score on the Nurse Resilience-related Practice Environment Factor Assessment Scale was (122.71±26.14) and the SPS-6 score was (16.11±4.66). Presenteeism was negatively correlated with total scores on the Nurse Resilience-related Practice Environment Factor Assessment Scale and scores on career support and development, practice support and development, and personal support and development ( r=-0.494, -0.471, -0.444, and -0.476; P<0.001). Regression analysis showed that resilience-related practice environment negatively predicted presenteeism in nurses ( P<0.001) . Conclusions:ICU nurses are at a high level of presenteeism, and total scores on the Nurse Resilience-related Practice Environment Factor Assessment Scale are negatively correlated with presenteeism. Nursing administrators should emphasize the psychological state of ICU nurses and improve the resilience-related practice environment in ICUs, thereby reducing the incidence of presenteeism among ICU nurses.