1.Exploration on Scientific Connotation of "Removing Calyx" of Inulae Flos Based on Processing Experience of Old Medicine Workers
Qiao ZHOU ; Zhenni QU ; Menghan LIU ; Lei ZHANG ; Benzheng SU ; Yanpeng DAI ; Dianhua SHI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(7):260-266
ObjectiveTo conduct a comparative quality analysis of Inulae Flos, fuzz of Inulae Flos and calyx of Inulae Flos, elucidating the scientific connotation of the "removing calyx" process in the traditional processing of Inulae Flos. MethodsInulae Flos decoction pieces were collected, and the fuzz and calyx of Inulae Flos were prepared according to the experiences of old medicine workers. Subsequently, according to the methods under the "Inulae Flos" item in the 2025 edition of the Pharmacopoeia of the People's Republic of China, the appearance characteristics and thin-layer chromatography(TLC) identification of these samples were tested, and the moisture content, total ash content, extract content were also measured. The characteristic fingerprint patterns of Inulae Flos and fuzz of Inulae Flos were established by high-performance liquid chromatography(HPLC), followed by similarity evaluation, principal component analysis(PCA), and partial least squares-discriminant analysis(PLS-DA). The contents of cryptochlorogenic acid, caffeic acid, 1,3-O-dicaffeoylqunic acid, 1,5-O-dicaffeoylqunic acid, and 1-O-acetyl britannilactone were determined to compare the quality differences of Inulae Flos, fuzz of Inulae Flos, and calyx of Inulae Flos. ResultsThe moisture content of Inulae Flos, fuzz of Inulae Flos, and calyx of Inulae Flos was all<10%. The determination results of total ash content were as follows:Calyx of Inulae Flos>Inulae Flos>fuzz of Inulae Flos, and the determination results of alcohol-soluble extract content were as follows:Fuzz of Inulae Flos>Inulae Flos>calyx of Inulae Flos. HPLC fingerprint patterns of Inulae Flos and fuzz of Inulae Flos were established, and 22 common peaks were identified. The similarity analysis and PCA showed that the overall quality of Inulae Flos and fuzz of Inulae Flos was similar, while the overall quality of calyx of Inulae Flos differed significantly from that of Inulae Flos and fuzz of Inulae Flos. PLS-DA results showed that Inulae Flos, fuzz of Inulae Flos, and calyx of Inulae Flos clustered into distinct groups, indicating significant differences among them. Cryptochlorogenic acid and caffeic acid had relatively high contents in calyx of Inulae Flos, the contents of 1,3-O-dicaffeoylqunic acid and 1,5-O-dicaffeoylqunic acid in Inulae Flos and fuzz of Inulae Flos were higher than those in calyx of Inulae Flos. The order of 1-O-acetyl britannilactone content was determined as follows:fuzz of Inulae Flos>Inulae Flos>calyx of Inulae Flos. ConclusionThe scientific nature of "Removing Calyx" process in the cleansing of Inulae Flos by old medicine workers is demonstrated by the resulting fuzz of Inulae Flos decoction pieces exhibiting enhanced cleanliness and higher content of the index component 1-O-acetyl britannilactone. This study provides a reference basis for further improving and enhancing the processing method and quality control standards of Inulae Flos.
2.Genetic analysis and reproductive intervention for 46 Chinese pedigrees affected with Hereditary multiple exostoses.
Lilan SU ; Xiao HU ; Jing DAI ; Zhengxing WAN ; Duo YI ; Shuangfei LI ; Liang HU ; Yueqiu TAN ; Fei GONG ; Ge LIN ; Guangxiu LU ; Qianjun ZHANG ; Juan DU ; Wenbin HE
Chinese Journal of Medical Genetics 2026;43(4):253-258
OBJECTIVE:
To explore the genetic etiology of 46 Chinese pedigrees affected with Hereditary multiple exostoses (HME) and provide genetic counseling and reproductive intervention.
METHODS:
Whole-exome sequencing and Sanger sequencing were carried out on 87 patients from the 46 pedigrees to analyze the variants of EXT1 and EXT2 genes. Pathogenicity of the variants was assessed based on the guidelines from the American College of Medical Genetics and Genomics and Association for Molecular Pathology (ACMG/AMP). Prenatal diagnosis and preimplantation genetic testing (PGT) were provided for couples with identified pathogenic mutations. This study was approved by the Medical Ethics Committee of the hospital (Ethics No.: LL-SC-SG-2014-010).
RESULTS:
In total 17 and 22 pathogenic variants were respectively identified in the EXT1 and EXT2 genes, among which 5 EXT1 and 12 EXT2 variants were unreported previously. Three patients with no family history were found to harbor de novo variants of the EXT1 gene. Twenty nine couples had opted for PGT or underwent prenatal diagnosis following natural conception, and 17 healthy babies were born.
CONCLUSION
This study has clarified the genetic etiology of 45 HME pedigrees and identified 17 novel variants, which has enriched the mutational spectrum of the EXT1 and EXT2 genes. Reproductive intervention through PGT and prenatal diagnosis have prevented the recurrence of HME in these families.
Humans
;
Female
;
Male
;
Pedigree
;
Exostoses, Multiple Hereditary/diagnosis*
;
N-Acetylglucosaminyltransferases/genetics*
;
Adult
;
Exostosin 1
;
Asian People/genetics*
;
Genetic Testing
;
Exostosin 2
;
Mutation
;
China
;
Prenatal Diagnosis
;
Pregnancy
;
Genetic Counseling
;
Preimplantation Diagnosis
;
Exome Sequencing
;
East Asian People
3.Current Status and Prospects of Artificial Intelligence Technologyin Minimally Invasive Gastric Cancer Surgery
Tao ZHANG ; Boer SU ; Guanxing LIANG ; Shiman DAI ; Jiawei CHEN ; Zhengjie LIU ; Cheng PENG ; Rong LIU ; Qinglan LIN ; Yidan WU ; Yuhui WU ; Jiaming WEN ; Hong WANG ; Hao CHEN ; Jiang YU
Medical Journal of Peking Union Medical College Hospital 2026;17(4):933-942
Gastric cancer remains a highly prevalent malignancy worldwide, with surgical resection currently constituting the cornerstone of treatment aimed at improving long-term patient survival. Owing to their notable advantages, including reduced surgical trauma and accelerated postoperative recovery, minimally invasive procedures are progressively supplanting conventional open surgery and have become the mainstream approach in gastric cancer management. Concurrently, the rapid advancement of artificial intelligence (AI) technologies has enabled real-time intraoperative monitoring of surgical scenes, thereby furnishing novel technical support for adjunctive decision-making, surgical navigation, and skill assessment during gastrectomy. This article provides a systematic review of the current status of AI applications in minimally invasive gastric cancer surgery, with a particular focus on research progress pertaining to instrument recognition, surgical phase identification, delineation of normal anatomical structures, detection of metastatic foci, and early warning of intraoperative adverse events. Furthermore, we discuss the potential value of AI in enhancing surgical efficiency, ensuring patient safety, and optimizing surgical education. On this basis, we further analyze the principal challenges and inherent risks confronting current AI systems, with the aim of informing future technological innovation and facilitating clinical translation.
4.A prediction model for high-risk cardiovascular disease among residents aged 35 to 75 years
ZHOU Guoying ; XING Lili ; SU Ying ; LIU Hongjie ; LIU He ; WANG Di ; XUE Jinfeng ; DAI Wei ; WANG Jing ; YANG Xinghua
Journal of Preventive Medicine 2025;37(1):12-16
Objective:
To establish a prediction model for high-risk cardiovascular disease (CVD) among residents aged 35 to 75 years, so as to provide the basis for improving CVD prevention and control measures.
Methods:
Permanent residents aged 35 to 75 years were selected from Dongcheng District, Beijing Municipality using the stratified random sampling method from 2018 to 2023. Demographic information, lifestyle, waist circumference and blood biochemical indicators were collected through questionnaire surveys, physical examinations and laboratory tests. Influencing factors for high-risk CVD among residents aged 35 to 75 years were identified using a multivariable logistic regression model, and a prediction model for high-risk CVD was established. The predictive effect was evaluated using the receiver operating characteristic (ROC) curve.
Results:
A total of 6 968 individuals were surveyed, including 2 821 males (40.49%) and 4 147 females (59.51%), and had a mean age of (59.92±9.33) years. There were 1 155 high-risk CVD population, with a detection rate of 16.58%. Multivariable logistic regression analysis showed that gender, age, smoking, central obesity, systolic blood pressure, fasting blood glucose, triglyceride and low-density lipoprotein cholesterol were influencing factors for high-risk CVD among residents aged 35 to 75 years (all P<0.05). The area under the ROC curve of the established prediction model was 0.849 (95%CI: 0.834-0.863), with a sensitivity of 0.693 and a specificity of 0.863, indicating good discrimination.
Conclusion
The model constructed by eight factors including demographic characteristics, lifestyle and blood biochemical indicators has good predictive value for high-risk CVD among residents aged 35 to 75 years.
5.Research progress of workplace ostracism among nurses
Ling XU ; Lingyun DAI ; Baoyu LIU ; Yumei SUN ; Ying REN ; Qingqing LI ; Tao SU ; Yu CHEN ; Xiaoli PANG
Chinese Journal of Modern Nursing 2025;31(11):1514-1519
This article comprehensively discusses the concept of workplace ostracism, measurement tools, theoretical basis, the current situation of workplace ostracism among nurses, and research on related variables. It proposes targeted strategies to address workplace ostracism among nurses, aiming to reduce the occurrence of workplace ostracism incidents among nurses. This is of great significance for constructing a harmonious work environment and promoting individual mental health.
6.Establishing an age prediction model based on radiomics of oral panoramic radiographs
Yonggang DAI ; Suiyan WEI ; Yu SU ; Jing GUO
Chinese Journal of Forensic Medicine 2025;40(2):194-197
Objective To construct an age prediction model for adolescents using radiomics from oral panoramic radiographs.Methods Panoramic radiographic images of 441 adolescent patients aged 11.00~13.99 years were imported into the open-source software 3D Slicer for segmentation of regions of interest(ROI).Python was used to extract all features from the ROIs of all patients.The patients were randomly divided into a training set and a test set at a ratio of 7∶3.Machine learning methods were applied to analyze the correlation between radiomics features and age characteristics to build the age prediction model.Results Out of 863 two-dimensional radiomics features,10 were selected.Three machine learning methods—support vector machine,random forest,and logistic regression—were used to train the model on the training set,and the best machine learning model was chosen.The performance of the machine learning models was evaluated using the Area Under Curve(AUC).In the test set,the AUCs for females were 0.795,0.830,and 0.795 for the three methods respectively,while for males,they were 0.830,0.864,and 0.846.Conclusion The radiomics model based on oral panoramic radiographs demonstrates good diagnostic efficacy and can be used for age prediction.
7.Construction of a nomogram prediction model for the efficacy of EGFR-TKI targeted therapy in advanced lung adenocarcinoma with EGFR mutation based on lung cancer autoantibodies
Linge Sun ; Jiao Su ; Yanjun Liu ; Liping Dai ; Ruiying Chen ; Songyun Ouyang
Acta Universitatis Medicinalis Anhui 2025;60(7):1325-1332
Objective :
To explore the factors influencing the efficacy of first-generation EGFR tyrosine kinase inhibitors(EGFR-TKIs) in patients with EGFR-mutated advanced lung adenocarcinoma and to construct and validate a corresponding nomogram prediction model.
Methods :
A total of 220 patients with EGFR-mutated advanced lung adenocarcinoma treated with icotinib were enrolled and randomly divided into a training group(154 cases) and a validation group(66 cases) in a 7 ∶3 ratio. Cox regression analysis was performed to identify factors affecting the efficacy of first-generation EGFR-TKIs in the training group. A prediction model was constructed, and calibration curves and receiver operating characteristic(ROC) curves were plotted to validate the model′s performance.
Results:
In the training group, the objective response rate was 35.71%, the disease control rate was 77.27%, the median progression-free survival(PFS) was 12.5 months, the median overall survival was 18 months, the 2-year OS rate was 66.23%, and the PFS rate was 42.21%. Univariate analysis showed that brain metastasis, bone metastasis, TNM stage, differentiation degree, neutrophil-to-lymphocyte ratio(NLR), post-treatment p53 levels, p53 difference(Δp53), post-treatment cancer antigen gene(CAGE) levels, and CAGE difference(ΔCAGE) were associated with PFS(P2=4.429, P=0.351). ROC curve analysis in the training group showed that the nomogram model had a sensitivity of 80.00%, specificity of 77.53%, and AUC of 0.864 for predicting therapeutic efficacy, while the validation group showed a sensitivity of 74.08%, specificity of 71.43%, and AUC of 0.835.
Conclusion
Changes in lung cancer autoantibodies(Δp53 and ΔCAGE), TNM stage, and NLR are key factors influencing the efficacy of first-generation EGFR-TKIs in EGFR-mutated advanced lung adenocarcinoma. The nomogram prediction model based on p53 and CAGE demonstrates good predictive performance.
8.Synthesis and evaluation of TSPO-targeting radioligand 18FF-TFQC for PET neuroimaging in epileptic rats.
Wenhui FU ; Qingyu LIN ; Zhequan FU ; Tingting YANG ; Dai SHI ; Pengcheng MA ; Hongxing SU ; Yunze WANG ; Guobing LIU ; Jing DING ; Hongcheng SHI ; Dengfeng CHENG
Acta Pharmaceutica Sinica B 2025;15(2):722-736
The translocator protein (TSPO) positron emission tomography (PET) can noninvasively detect neuroinflammation associated with epileptogenesis and epilepsy. This study explored the role of the TSPO-targeting radioligand [18F]F-TFQC, an m-trifluoromethyl ER176 analog, in the PET neuroimaging of epileptic rats. Initially, [18F]F-TFQC was synthesized with a radiochemical yield of 8%-10% (EOS), a radiochemical purity of over 99%, and a specific activity of 38.21 ± 1.73 MBq/nmol (EOS). After determining that [18F]F-TFQC exhibited good biochemical properties, [18F]F-TFQC PET neuroimaging was performed in epileptic rats at multiple time points in various stages of disease progression. PET imaging showed specific [18F]F-TFQC uptake in the right hippocampus (KA-injected site, i.e., epileptogenic zone), which was most pronounced at 1 week (T/NT 1.63 ± 0.21) and 1 month (T/NT 1.66 ± 0.20). The PET results were further validated using autoradiography and pathological analysis. Thus, [18F]F-TFQC can reflect the TSPO levels and localize the epileptogenic zone, thereby offering the potential for monitoring neuroinflammation and guiding anti-inflammatory treatment in patients with epilepsy.
9.From Physiology to Pathology of Astrocytes: Highlighting Their Potential as Therapeutic Targets for CNS Injury.
Yimin YUAN ; Hong LIU ; Ziwei DAI ; Cheng HE ; Shangyao QIN ; Zhida SU
Neuroscience Bulletin 2025;41(1):131-154
In the mammalian central nervous system (CNS), astrocytes are the ubiquitous glial cells that have complex morphological and molecular characteristics. These fascinating cells play essential neurosupportive and homeostatic roles in the healthy CNS and undergo morphological, molecular, and functional changes to adopt so-called 'reactive' states in response to CNS injury or disease. In recent years, interest in astrocyte research has increased dramatically and some new biological features and roles of astrocytes in physiological and pathological conditions have been discovered thanks to technological advances. Here, we will review and discuss the well-established and emerging astroglial biology and functions, with emphasis on their potential as therapeutic targets for CNS injury, including traumatic and ischemic injury. This review article will highlight the importance of astrocytes in the neuropathological process and repair of CNS injury.
Astrocytes/drug effects*
;
Humans
;
Animals
;
Central Nervous System/pathology*
;
Central Nervous System Diseases/physiopathology*
10.Feasibility and prognostic value of estimated plasma volume status in assessing volume status during early fluid resuscitation in patients with sepsis.
Xiaodong LIU ; Fei WANG ; Wangbin XU ; Man YANG ; Xiao YANG ; Dongmei DAI ; Leyun XIAO-LI ; Xinghui GUAN ; Xiaoyang SU ; Yuemeng CUI ; Lei CAI
Chinese Critical Care Medicine 2025;37(7):620-627
OBJECTIVE:
To investigate the feasibility and prognostic implications of assessing volume status during early fluid resuscitation in septic patients based on estimated plasma volume status (ePVS).
METHODS:
A prospective study was conducted. Patients with sepsis admitted to intensive care unit (ICU) of the First Affiliated Hospital of Kunming Medical University from March to December in 2023 were enrolled. The general information and laboratory indicators at ICU admission were recorded, and ePVS, sequential organ failure assessment (SOFA) score, acute physiology and chronic health status evaluation II (APACHE II) score were calculated. The vital signs, arterial blood gas analysis and volume status related indicators before liquid resuscitation (T0h) and 3 hours (T3h) and 6 hours (T6h) of fluid resuscitation were recorded. The diameter and variability of the inferior vena cava (IVC) were measured by ultrasound, and ePVS, percentage change value of estimated plasma volume status (ΔePVS%), difference in central venous-to-arterial partial pressure of carbon dioxide (Pcv-aCO2), and lactate clearance rate (LCR) were calculated. Patients were divided into sepsis group and septic shock group based on the diagnosis at ICU admission, and septic patients were subdivided into survival group and death group based on their 28-day survival status. The differences in clinical data between the groups were compared. The correlation between ePVS or ΔePVS% and volume status related indicators during early liquid resuscitation was analyzed by Spearman rank sum correlation test. The predictive value of each variable for 28-day survival in patients with sepsis was analyzed by receiver operator characteristic curve (ROC curve), and 28-day death risk factors were analyzed by Logistic regression method.
RESULTS:
Fifty-four septic patients were enrolled in the final analysis, including 17 with sepsis and 37 with septic shock; 34 survived at 28 days and 20 died, with a 28-day survival rate of 63.0%. Compared with the sepsis group, the septic shock group had a lower venous ePVS at ICU admission [dL/g: 4.96 (3.67, 7.15) vs. 7.55 (4.36, 10.07), P < 0.05]. Compared with the death group, the survival group had higher T6h arterial and venous ΔePVS%, and albumin [Alb; T6h arterial ΔePVS% (%): 11.57% (-1.82%, 31.35%) vs. 0.48% (-5.67%, 6.02%), T6h venous ΔePVS%: 9.62% (3.59%, 25.75%) vs. 1.52% (-9.65%, 7.72%), Alb (g/L): 27.57±4.15 vs. 23.77±6.97, all P < 0.05], lower SOFA score, APACHE II score, AST, T0h Lac, and T3h and T6h norepinephrine dosage [SOFA score: 9.00 (8.00, 10.00) vs. 11.50 (9.25, 14.50), APACHE II score: 18.00 (14.75, 21.25) vs. 25.50 (21.00, 30.00), AST (U/L): 34.09 (23.20, 56.64) vs. 79.24 (25.34, 196.59), T0h Lac (mmol/L): 1.75 (1.40, 2.93) vs. 3.25 (2.33, 5.30), norepinephrine dosage (mg): 0.98 (< 0.01, 3.10) vs. 4.60 (1.05, 8.55) at T3h, 1.82 (0.38, 5.30) vs. 8.20 (2.80, 17.73) at T6h, all P < 0.05]. While there were no significantly differences in other basic data and ePVS at all of the time points before and after resuscitation between the two groups. Correlation analysis showed that T6h venous ePVS was significantly positively correlated with T6h IVC variability in septic patients (r = 0.360, P < 0.05), T0h arterial ePVS was significantly negatively correlated with T3h and T6h liquid intake volume (r1 = -0.367, r2 = -0.280, both P < 0.05), and venous ePVS at ICU admission was significantly positively correlated with NT-proBNP at ICU admission (r = 0.409, P < 0.05). T6h venous ΔePVS% was significantly positively correlated with T3h liquid intake volume and T6h LCR (r1 = 0.286, r2 = 0.286, both P < 0.05), and significantly negatively correlated with T6h urine volume and T6h change value of Pcv-aCO2 (ΔPcv-aCO2; r1 = -0.321, r2 = -0.371, both P < 0.05). ROC curve analysis showed that the area under the ROC curve (AUC) of T6h venous ΔePVS% for predicting 28-day survival in septic patients was 0.726 [95% confidence interval (95%CI) was 0.578-0.875, P = 0.006], with a sensitivity of 82.4%, a specificity of 60.0%, and an optimal cut-off value of 3.09%. Binary multifactorial Logistic regression analysis showed that an increase in T6h venous ΔePVS% was a protective factor for 28-day death in patients with sepsis on early fluid resuscitation [odds ratio (OR) = 0.900, 95%CI was 0.834-0.972, P = 0.007].
CONCLUSIONS
ePVS may have potential for assessing the volume status of septic patients during early fluid resuscitation. The ΔePVS% during early fluid resuscitation may help to identify septic patients with a poor prognosis.
Humans
;
Prognosis
;
Fluid Therapy
;
Sepsis/physiopathology*
;
Prospective Studies
;
Plasma Volume
;
Intensive Care Units
;
Resuscitation
;
Male
;
Female
;
Middle Aged
;
Shock, Septic/therapy*


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