ObjectiveThrough qualitatively and quantitatively analysis of the differences in chemical composition between the combined decoction and single decoction of Huaganjian and comparison of their core efficacy， to explore the rationality of the flexible clinical application of Huaganjian compound preparations and single-flavored dispensing granules. MethodsUltra performance liquid chromatography-quadrupole-electrostatic field orbitrap high resolution mass spectrometry（UPLC-Q-Exactive Orbitrap MS） was used to qualitatively analyze the combined decoction and single decoction samples of Huaganjian， and meanwhile， the contents of four index components（geniposide， paeoniflorin， hesperidin and paeonol） were quantitatively analyzed by high performance liquid chromatography（HPLC）. Nonalcoholic fatty liver disease（NAFLD） rat model induced by high-fat diet was applied to compare the efficacy of combined decoction and single decoction of Huaganjian. A total of 30 male SD rats were randomly divided into the control group， model group， lovastatin group（1.8 mg·kg^-1）， combined decoction group（1.26 g·kg^-1） and single decoction group（1.18 g·kg^-1）. After successful modeling， lovastatin group， combined decoction group and single decoction group were given corresponding doses of drugs by intragastric administration every day， and the control group and model group were given equal amounts of normal saline by intragastric administration， after 4 weeks of administration， the serum and liver tissues were collected， and the contents of alanine aminotransferase（ALT）， aspartate aminotransferase（AST）， total cholesterol（TC）， triglyceride（TG）， low-density lipoprotein cholesterol（LDL-C） and high-density lipoprotein cholesterol（HDL-C） in serum of rats were detected， and the liver pathological examination was carried out by hematoxylin-eosin（HE） staining and oil red O staining， so as to compare differences of their efficacy. ResultsSeventy chemical components were initially identified and attributed from the lyophilized powder of the combined decoction and single decoction samples of Huaganjian， and there was no obvious difference in composition between the two. Further quantitative analysis showed that the contents of geniposide， paeoniflorin， hesperidin and paeonol in the combined decoction samples were significantly increased when compared with those of the single decoction samples（P<0.01）. The pharmacodynamic results showed that compared with the model group， both the combined and single decoction groups of Huaganjian could improve the liver index of NAFLD rats， reduce the serum levels of AST， ALT， TC， TG and LDL-C， increase the serum level of HDL-C， and ameliorate the pathological changes of liver cell steatosis and fat accumulation. However， there was no significant difference in pharmacodynamic effects between the combined decoction group and the single decoction group. ConclusionThere is no significant difference between the combined decoction and single decoction of Huaganjian in terms of chemical composition， but the contents of the four index components show significantly difference. Both of them can significantly improve the fat accumulation and liver function in NAFLD rats. This study provides a reference basis for the rational clinical application and evaluation of famous classical formula compound preparations and single-flavored dispensing granules.

ObjectiveTo establish a geographical origin identification model for Foeniculi Fructus from Haiyuan， providing a new technical reference for the protection of Haiyuan's geo-authentic medicinal materials and its designation as a national geographical indication agricultural product. MethodsSamples of Foeniculi Fructus were collected from eight producing areas， including Minqin （Gansu）， Bozhou （Anhui）， Qingdao （Shandong）， Dezhou （Shandong）， Urumqi （Xinjiang）， Nujiang （Yunnan）， Gutuo （Inner Mongolia）， and Haiyuan （Ningxia）. Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile organic compounds （VOCs） in samples from these geographic origins. VOCs were qualitatively analyzed through dual matching with the National Institute of Standards and Technology （NIST） mass spectral database and the IMS drift time database. Using the Reporter module and Gallery Plot visualization tools within the LAV analytical platform， VOC fingerprint profiles characterizing geographic origins were constructed. A non-targeted analytical strategy was adopted， and 97 VOCs detected via GC-IMS were subjected to principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA） based on their differential distribution patterns to construct an origin identification model for Foeniculi Fructus from Haiyuan region. Key discriminative markers were screened using variable importance in projection （VIP） values greater than 1. ResultsA total of 97 VOCs were identified， including alcohols， aldehydes， ketones， esters， organic acids， terpenoids， ethers， alkenes， and benzenes. The PLS-DA model， based on VOCs data obtained by GC-IMS， effectively distinguished Foeniculi Fructus in Haiyuan region from those of other origins. During cross-validation， the model achieved a prediction parameter （Q²） of 0.976 and a goodness-of-fit parameter （R²） of 0.936， with no overfitting observed in permutation testing. Twelve key flavor markers with VIP > 1 were identified as characteristic indicators of Haiyuan origin. ConclusionA stable and highly predictive origin identification model for Foeniculi Fructus from Haiyuan was successfully established using GC-IMS technology， PLS-DA， and VIP-based marker screening. This model provides a novel technical strategy for accurately distinguishing Foeniculi Fructus in Haiyuan region from other regional varieties and offers new technical support for its protection as a geo-authentic medicinal material and a nationally designated geographical indication agricultural product in China.

ObjectiveTo establish a geographical origin identification model for Foeniculi Fructus from Haiyuan， providing a new technical reference for the protection of Haiyuan's geo-authentic medicinal materials and its designation as a national geographical indication agricultural product. MethodsSamples of Foeniculi Fructus were collected from eight producing areas， including Minqin （Gansu）， Bozhou （Anhui）， Qingdao （Shandong）， Dezhou （Shandong）， Urumqi （Xinjiang）， Nujiang （Yunnan）， Gutuo （Inner Mongolia）， and Haiyuan （Ningxia）. Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile organic compounds （VOCs） in samples from these geographic origins. VOCs were qualitatively analyzed through dual matching with the National Institute of Standards and Technology （NIST） mass spectral database and the IMS drift time database. Using the Reporter module and Gallery Plot visualization tools within the LAV analytical platform， VOC fingerprint profiles characterizing geographic origins were constructed. A non-targeted analytical strategy was adopted， and 97 VOCs detected via GC-IMS were subjected to principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA） based on their differential distribution patterns to construct an origin identification model for Foeniculi Fructus from Haiyuan region. Key discriminative markers were screened using variable importance in projection （VIP） values greater than 1. ResultsA total of 97 VOCs were identified， including alcohols， aldehydes， ketones， esters， organic acids， terpenoids， ethers， alkenes， and benzenes. The PLS-DA model， based on VOCs data obtained by GC-IMS， effectively distinguished Foeniculi Fructus in Haiyuan region from those of other origins. During cross-validation， the model achieved a prediction parameter （Q²） of 0.976 and a goodness-of-fit parameter （R²） of 0.936， with no overfitting observed in permutation testing. Twelve key flavor markers with VIP > 1 were identified as characteristic indicators of Haiyuan origin. ConclusionA stable and highly predictive origin identification model for Foeniculi Fructus from Haiyuan was successfully established using GC-IMS technology， PLS-DA， and VIP-based marker screening. This model provides a novel technical strategy for accurately distinguishing Foeniculi Fructus in Haiyuan region from other regional varieties and offers new technical support for its protection as a geo-authentic medicinal material and a nationally designated geographical indication agricultural product in China.

Dormant tumor cells constitute a population of cancer cells that reside in a non-proliferative or low-proliferative state, typically arrested in the G0/G1 phase and exhibiting minimal mitotic activity. These cells are commonly observed across multiple cancer types, including breast, lung, and ovarian cancers, and represent a central cellular component of minimal residual disease (MRD) following surgical resection of the primary tumor. Dormant cells are closely associated with long-term clinical latency and late-stage relapse. Due to their quiescent nature, dormant cells are intrinsically resistant to conventional therapies—such as chemotherapy and radiotherapy—that preferentially target rapidly dividing cells. In addition, they display enhanced anti-apoptotic capacity and immune evasion, rendering them particularly difficult to eradicate. More critically, in response to microenvironmental changes or activation of specific signaling pathways, dormant cells can re-enter the cell cycle and initiate metastatic outgrowth or tumor recurrence. This ability to escape dormancy underscores their clinical threat and positions their effective detection and elimination as a major challenge in contemporary cancer treatment. Hypoxia, a hallmark of the solid tumor microenvironment, has been widely recognized as a potent inducer of tumor cell dormancy. However, the molecular mechanisms by which tumor cells sense and respond to hypoxic stress—initiating the transition into dormancy—remain poorly defined. In particular, the lack of a systems-level understanding of the dynamic and multifactorial regulatory landscape has impeded the identification of actionable targets and constrained the development of effective therapeutic strategies. Accumulating evidence indicates that hypoxia-induced dormancy tumor cells are accompanied by a suite of adaptive phenotypes, including cell cycle arrest, global suppression of protein synthesis, metabolic reprogramming, autophagy activation, resistance to apoptosis, immune evasion, and therapy tolerance. These changes are orchestrated by multiple converging signaling pathways—such as PI3K-AKT-mTOR, Ras-Raf-MEK-ERK, and AMPK—that together constitute a highly dynamic and interconnected regulatory network. While individual pathways have been studied in depth, most investigations remain reductionist and fail to capture the temporal progression and network-level coordination underlying dormancy transitions. Systems biology offers a powerful framework to address this complexity. By integrating high-throughput multi-omics data—such as transcriptomics and proteomics—researchers can reconstruct global regulatory networks encompassing the key signaling axes involved in dormancy regulation. These networks facilitate the identification of core regulatory modules and elucidate functional interactions among key effectors. When combined with dynamic modeling approaches—such as ordinary differential equations—these frameworks enable the simulation of temporal behaviors of critical signaling nodes, including phosphorylated AMPK (p-AMPK), phosphorylated S6 (p-S6), and the p38/ERK activity ratio, providing insights into how their dynamic changes govern transitions between proliferation and dormancy. Beyond mapping trajectories from proliferation to dormancy and from shallow to deep dormancy, such dynamic regulatory models support topological analyses to identify central hubs and molecular switches. Key factors—such as NR2F1, mTORC1, ULK1, HIF-1α, and DYRK1A—have emerged as pivotal nodes within these networks and represent promising therapeutic targets. Constructing an integrative, systems-level regulatory framework—anchored in multi-pathway coordination, omics-layer integration, and dynamic modeling—is thus essential for decoding the architecture and progression of tumor dormancy. Such a framework not only advances mechanistic understanding but also lays the foundation for precision therapies targeting dormant tumor cells during the MRD phase, addressing a critical unmet need in cancer management.

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

Objective:To investigate the genetic, clinical, and post-treatment characteristics of patients with glycogen storage disease type Ⅲ (GSD Ⅲ).Methods:A retrospective cohort analysis was performed on the genetic and clinical data of 26 cases with GSD Ⅲ who visited the Children's Hospital affiliated with Fudan University from June 2017 to December 2023. The patients were divided into non-missense variation and missense variation groups according to the types of mutation in the AGL gene.The correlation between genotype and phenotype was analyzed. All patients were treated with uncooked cornstarch after diagnosis. The changes before and after treatment were compared in patients who underwent more than twelve months of follow-up. A P value of <0.05 was used to denote statistical significance. Results:Among the 26 cases enrolled, 13 were female and 13 were male, and the median age of diagnosis was 28 (6 to 134) months. A total of thirty-five different types of AGL gene variation were detected, with c.1735+1G＞T (9/52, 17.3%) as the hotspot variation. The common clinical manifestations were elevated aminotransferases (26/26, 100%), hepatomegaly (25/26, 96.2%), fasting hypoglycemia (25/26, 96.2%), hyperketonemia (16/18, 88.9%), hypertriglyceridemia (TG) (20/26, 76.9%), elevated CK (16/25, 64.0%), and an abnormal electrocardiogram (12/16, 75.0%). Four cases (15.4%) had symptoms of myopathy at diagnosis. Liver biopsy was performed in eighteen cases, among whom 83.3% (15/18) had liver fibrosis≥S2. The number of cases with elevated levels of CK ( P＝0.031) and ALT ( P＝0.038)was pronounced in the non-missense variation group compared to that in the missense variation group. There were no statistically significant differences in age, height, liver size, degree of fibrosis, fasting blood glucose (Glu) and TG ( P>0.05). The median follow-up time of 14 cases was 40.5 (20-73) months, with improvement in body stature, reduced liver size, decreased ALT and TG, and improved Glu. However, four (28.6%) cases had new myopathy symptoms with raised CK ( P<0.05) and with advancing age, increased ALT diminished while CK level elevated ( P<0.05). Conclusions:The common clinical manifestations at the early stage of the GSD Ⅲdiagnosis are elevated aminotransferases, hepatomegaly, fasting hypoglycemia, hyperketonemia, high triglycerides, elevated CK, and fibrotic liver in China. Myopathy symptoms may arise following uncooked cornstarch treatment; however, there is significant improvement in height, liver-related, and metabolic parameters.

Objective:To retrieve, evaluate and integrate the evidence related to the preparation process for initiating extracorporeal cardiopulmonary resuscitation in hospital, so as to provide reference for clinical implementation of extracorporeal cardiopulmonary resuscitation.Methods:According to the evidence-based nursing method and the 6S evidence model, guidelines, clinical decisions, expert consensus, systematic review and other literatures related to the preparation process for initiating extracorporeal cardiopulmonary resuscitation in hospital were searched from National Guideline Clearinghouse, Scottish Intercollegiate Guidelines Network, National Institute for Health and Care Excellence, and other websites, UpToDate, The Cochrane Library, PubMed, Embase, CNKI, Wanfang and other databases. The retrieval date limit was from the establishment of the database to May 20, 2023. Researchers assessed the quality of the included articles, and extracted and summarized the evidence that met the quality standards.Results:A total of 11 articles were included, including 2 guidelines, 6 expert consensuses, 1 systematic review and 2 quasi-experimental studies. A total of 18 pieces of evidences were summarized from 6 aspects, including medical conditions, team building, materials management, operation mechanism, pre-initiating treatment and initiating judgment.Conclusions:This study summarizes the evidence of preparation process for initiating extracorporeal cardiopulmonary resuscitation in hospital, which can provide reference for promoting the implementation of extracorporeal cardiopulmonary resuscitation. Future studies still need to focus on team building, personnel training and assessment, and optimisation of the management system, so as to improve the efficiency and readiness of treatment.

Objective To investigate the therapeutic effects of Isaria felina derived from Cordyceps sinensis combined with cyclophosphamide(CTX)in hepatoma H22 tumor-bearing mice.Methods An H22 tumor-bearing mouse model was established and mice were divided randomly into a normal control group(NC group,distilled water),model control group(MC group,distilled water),positive control group(CTX group,25 mg/kg),Isaria felina group(IF group,400 mg/kg),and combined administration group(IF+CTX group,IF 400 mg/kg+CTX 25 mg/kg),with 5 mice in each group.Distilled water and IF were administered by gavage,and CTX was administered by intraperitoneal injection.The administration cycle was 10 days.At the end of the experiment,the mean tumor volume and weight,tumor inhibition rate,q value,and immune organ index were calculated,and routine blood indexes and cytokine levels were determined.Histopathological changes in tumor tissues were observed by HE staining.Results The tumor volume and mass were significantly lower in mice in each treatment group compared with those in mice in the MC group(P＜0.05).The tumor inhibition rates in the CTX,IF,and IF+CTX groups were 49.3%,34.2%,and 72.8%,respectively,and the q value was 1.09.The numbers of white blood cells,Lymph,and platelets were significantly higher in the IF+CTX group than in the CTX group(P＜0.05).The spleen index was significantly higher in the MC group compared with that in the NC group,and significantly lower in the IF+CTX group compared with that in the MC group(P＜0.05).Serum interferon-γ levels were significantly lower in the MC group than in the NC group,and were significantly higher in the IF and IF+CTX groups compared with those in the MC and CTX groups(P＜0.05).Pathologically,tumor cells in the MC group grew well and were numerous and closely arranged,while cells in the CTX,IF,and IF+CTX groups were arranged loosely,with focal necrosis and nuclear pyknosis of necrotic cells in many places.Conclusions The combination of IF and CTX has an additive anti-tumor effect on H22 tumor-bearing mice,which can alleviate immunosuppression and have an immunomodulatory function.

Objective:To explore the correlation between self-efficacy and discharge readiness in patients with enterostomy.Methods:It was a cross-sectional study. Using the self-efficacy Scale and the Readiness for Discharge Scale as research tools, the patients who underwent enterostomy in the Department of General Surgery of Peking Union Medical College Hospital from December 2018 to December 2019 were conveniently selected for questionnaire survey. Statistical descriptive variables such as mean values, median values and frequency were used to investigate the current situation of self-efficacy and discharge readiness of patients with enterostomy. Pearson correlation analysis (or Spearman correlation analysis) was used to explore the correlation between self-efficacy and discharge readiness in these patients.Results:The total self-efficacy score of the 121 patients with enterostomy was (75.81±21.16) points, and the total discharge readiness score was (138.11±34.60) points. The total score of self-efficacy in the patients with enterostomy was positively correlated with the total score of readiness for hospital discharge ( r=0.379, P<0.01). No correlation was found between the self-condition dimension and the confidence and efficacy of sexual life ( r=0.125, P>0.05) and the confidence and efficacy of sexual life satisfaction ( r=0.062, P>0.05). The disease knowledge dimension was positively correlated with the following variables, self-efficacy score ( r=0.311, P<0.01), stoma care efficacy ( r=0.358, P<0.01), self-social efficacy ( r=0.227, P<0.05), diet choice efficacy ( r=0.221, P<0.05) and stoma self-care confidence efficacy ( r=0.249, P<0.01). The post-discharge coping ability dimension was positively correlated with the total score of self-efficacy ( r=0.428, P<0.01). Anticipatory social support dimension was positively correlated with self-efficacy ( r=0.218, P<0.05), self-social efficacy ( r=0.226, P<0.01), vitality confidence ( r=0.202, P<0.05) and stoma self-care confidence ( r=0.198, P<0.05). Conclusion:The self-efficacy level of patients with enterostomy can positively predict the level of readiness for discharge.

ObjectiveTo explore the correlation of index of standing balance tester to score of Berg Balance Scale (BBS) and Fugl-Meyer Assment-Lower Extremites (FMA-LE) in stroke patients with hemiplegia, and analyze the predictive effect to BBS. MethodsFrom March to October, 2022, 66 stroke hemiplegic patients in the Affiliated Hospital of Shandong University of Traditional Chinese Medicine were selected. The elliptical area and length of motion were measured with a balance tester when they were standing with eyes open or closed, respectively. They were also evaluated with BBS and FMA-LE. The correlation between the test results and the scores of BBS and FMA-LE was analyzed with Pearson's correlation analysis, and the predictive effect of the test results to the score of BBS was also analyzed with receiver operating characteristic (ROC) curve. ResultsHypertension, diabetes, coronary heart disease, smoking and alcohol drinking were not significant for the scores of BBS and FMA-LE (|t| < 1.124, P > 0.05). In the balance test, the eye opening movement ellipse area, eye opening movement length, eye closing movement ellipse area and eye closing movement length were negatively correlated with the scores of BBS and FMA-LE (|r| > 0.250, P < 0.05). The area under the ROC curve of eye opening movement ellipse area to the score of BBS was 0.685 (P = 0.019), and the area under the ROC curve of the eye opening movement length to the score of BBS was 0.764 (P < 0.001). ConclusionThe open eye movement ellipse area, open eye movement length, closed eye movement ellipse area and closed eye movement length are significantly negatively correlated with the scores of BBS and FMA-UE. The indexes of the balance test with eyes open may predict the score of BBS.