Objective:To investigate the associations of onset age, diabetes duration, and glycated hemoglobin (HbA1c) levels with ischemic stroke risk in type 2 diabetes patients.Methods:The participants were from Comprehensive Research on the Prevention and Control of the Diabetes in Jiangsu Province. The study used data from baseline survey from December 2013 to January 2014 and follow-up until December 31, 2021. After excluding the participants who had been diagnosed with stroke at baseline survey and those with incomplete information on onset age, diabetes duration, and HbA1c level, a total of 17 576 type 2 diabetes patients were included. Cox proportional hazard model was used to calculate the hazard ratio ( HR) and 95% CI of onset age, diabetes duration, and HbA1c level for ischemic stroke. Results:During the median follow-up time of 8.02 years, 2 622 ischemic stroke cases were registered. Multivariate Cox proportional risk regression model showed that a 5-year increase in type 2 diabetes onset age was significantly associated with a 5% decreased risk for ischemic stroke ( HR=0.95, 95% CI: 0.92-0.99). A 5-year increase in diabetes duration was associated with a 5% increased risk for ischemic stroke ( HR=1.05, 95% CI: 1.02-1.10). Higher HbA1c (per 1 standard deviation increase: HR=1.17, 95% CI: 1.13-1.21) was associated with an increased risk for ischemic stroke. Conclusion:The earlier onset age of diabetes, longer diabetes duration, and high levels of HbA1c are associated with an increased risk for ischemic stroke in type 2 diabetes patients.

Objective:To investigate the correlation between the trajectory of triglyceride-glucose index multiplied by body mass index (TyG×BMI) and the incidence of new-onset non-alcoholic fatty liver disease (NAFLD).Methods:It was a retrospective cohort study. A total of 2 304 subjects who underwent health examinations at the Health Management Center of the First Affiliated Hospital of Zhengzhou University from 2017 to 2019 were included as the study population. Based on the TyG×BMI values from the health examinations, a latent class modeling approach was used to determine four distinct TyG×BMI trajectory groups: low-stable, moderate-stable, high-stable, and extremely high-stable group. The incidence of NAFLD was followed-up during the 2020 and 2021 health examinations for each group. The differences in NAFLD incidence among different TyG×BMI trajectory groups were compared using the log-rank test, and the correlation between different TyG×BMI trajectories and the incidence of new-onset NAFLD was analyzed using Cox proportional hazards regression models.Results:The incidence of NAFLD increased with the elevation of TyG×BMI trajectories. The cumulative incidence rates of NAFLD for the low-stable, moderate-stable, high-stable, and extremely high-stable groups was 13.00%, 16.70%, 20.10% and 26.60%, respectively, with statistically significant differences ( χ2=35.155, P<0.01). Compared with the low-stable group, the high-stable and extremely high-stable groups had higher risks of NAFLD (HRs for high-stable group was 1.564, 1.428, 1.426, 1.289, respectively; HRs for extremely high-stable group was 2.121, 1.670, 1.659, 1.607, respectively; all P<0.05). After adjusting for various confounding factors such as gender, waist circumference, BMI, blood glucose, blood lipids and liver function in model 4, the risks of NAFLD for the high-stable and extremely high-stable groups were still 1.389 and 1.607 times higher than that in the low-stable group (95% CIs: 1.035-1.864, 1.207-2.140). Conclusion:The risk of NAFLD increases with the elevation of TyG×BMI trajectories, suggesting that TyG×BMI can serve as a predictive index for NAFLD.

Objective:To investigate the mediation effect of triglyceride glucose index(TyG) on the relation between thyroid nodules and visceral fat area.Methods:A total of 9 324 individuals at the Health Management Center of the First Affiliated Hospital of Zhengzhou University from January 2017 to December 2021 were selected, and the basic information, biochemical indicators, color ultrasound of thyroid were also collected. According to the cut-off value of visceral fat area(VFA) of 100 cm 2 and body mass index(BMI) of 24 kg/m 2, they were divided into four groups: VFA(-)BMI(-), VFA(-)BMI(+ ), VFA(+ )BMI(-), and VFA(+ )BMI(+ ). Chi-square test was used to compare the incidence rate among the four groups, and multivariate logistic regression analysis to indentify influencing factors. TyG and VFA were quartiled, and multivariate logistic regression analysis was used to explore the effects of TyG and VFA on thyroid nodules. The regression coefficient test was used to analyze whether TyG mediated the association between VFA and thyroid nodules. Results:Multivariate logistic regression analysis revealed that compared with VFA(-)BMI(-) group, the VFA(+ )BMI(-) group had the highest risk of thyroid nodules( OR=1.283, 95% CI 1.064-1.546, P=0.009), followed by VFA(+ )BMI(+ ) group( OR=1.245, 95% CI 1.028-1.508, P=0.025). When using TyG and VFA Q1 group as reference, the Q4 group showed an increased risk of thyroid nodule by 1.584 times(95% CI 1.208-2.077, P=0.001) and 1.573 times(95% CI 1.249-1.982, P<0.001), respectively. Mediation analysis indicated that VFA had a direct impact on the incidence rate of thyroid nodules( β=0.162, 95% CI 0.140-0.186, P<0.001). TyG partially mediated the effect of VFA on the incidence rate of thyroid nodules( β=0.103, 95% CI 0.087-0.121, P<0.001), accounting for 38.87% of the total effect. Conclusions:VFA is an independent risk factor for thyroid nodules regardless of BMI. Among individuals with visceral obesity but normal BMI, the incidence rate of thyroid nodules was the highest. In addition, TyG partially mediates the risk of thyroid nodules in patients with visceral obesity. The evaluation of visceral obesity might be of great significance in the early screening and prevention of thyroid nodules.

This study aims to study the effective substance and mechanism of Ziziphi Spinosae Semen extract in the treatment of insomnia based on serum metabolomics and network pharmacology. The rat insomnia model induced by p-chlorophenylalanine(PCPA) was established. After oral administration of Ziziphi Spinosae Semen extract, the general morphological observation, pentobarbital sodium-induced sleep test, and histopathological evaluation were carried out. The potential biomarkers of the extract in the treatment of insomnia were screened by ultra-high performance liquid chromatography-mass spectrometry(UHPLC-MS) combined with multivariate analysis, and the related metabolic pathways were further analyzed. The "component-target-pathway" network was constructed by ultra-high performance liquid chromatography coupled with quadrupole-Exactive mass spectrometry(UHPLC-Q-Exactive-MS/MS) combined with network pharmacology to explore the effective substances and mechanism of Ziziphi Spinosae Semen in the treatment of insomnia. The results of pentobarbital sodium-induced sleep test and histopathological evaluation(hematoxylin and eosin staining) showed that Ziziphi Spinosae Semen extract had good theraputic effect on insomnia. A total of 21 endogenous biomarkers of Ziziphi Spinosae Semen extract in the treatment of insomnia were screened out by serum metabolomics, and the metabolic pathways of phenylalanine, tyrosine and tryptophan biosynthesis, phenylalanine metabolism, and nicotinate and nicotinamide metabolism were obtained. A total of 34 chemical constituents were identified by UHPLC-Q-Exactive-MS/MS, including 24 flavonoids, 2 triterpenoid saponins, 4 alkaloids, 2 triterpenoid acids, and 2 fatty acids. The network pharmacological analysis showed that Ziziphi Spinosae Semen mainly acted on target proteins such as dopamine D2 receptor(DRD2), 5-hydroxytryptamine receptor 1 A(HTR1 A), and alpha-2 A adrenergic receptor(ADRA2 A) in the treatment of insomnia. It was closely related to neuroactive ligand-receptor interaction, serotonergic synapse, and calcium signaling pathway. Magnoflorine, N-nornuciferine, caaverine, oleic acid, palmitic acid, coclaurine, betulinic acid, and ceanothic acid in Ziziphi Spinosae Semen may be potential effective compounds in the treatment of insomnia. This study revealed that Ziziphi Spinosae Semen extract treated insomnia through multiple metabolic pathways and the overall correction of metabolic disorder profile in a multi-component, multi-target, and multi-channel manner. Briefly, this study lays a foundation for further research on the mechanism of Ziziphi Spinosae Semen in treating insomnia and provides support for the development of innovative Chinese drugs for the treatment of insomnia.
Animals ; Chromatography, High Pressure Liquid ; Drugs, Chinese Herbal/chemistry* ; Metabolomics ; Network Pharmacology ; Rats ; Seeds/chemistry* ; Sleep Initiation and Maintenance Disorders/drug therapy* ; Tandem Mass Spectrometry ; Ziziphus/chemistry*

Objective    To compare the clinical effects of segmentectomy and lobectomy for ≤2 cm lung adenocarcinoma with micropapillary and solid subtype negative by intraoperative frozen sections. Methods    The patients with adenocarcinoma who received segmentectomy or lobectomy in multicenter from June 2020 to March 2021 were included. They were divided into two groups according to a random number table, including a segmentectomy group (n=119, 44 males and 75 females with an average age of 56.6±8.9 years) and a lobectomy group (n=115, 43 males and 72 females with an average of 56.2±9.5 years). The clinical data of the patients were analyzed. Results    There was no significant difference in the baseline data between the two groups (P>0.05). No perioperative death was found. There was no statistical difference in the operation time (111.2±30.0 min vs. 107.3±34.3 min), blood loss (54.2±83.5 mL vs. 40.0±16.4 mL), drainage duration (2.8±0.6 d vs. 2.6±0.6 d), hospital stay time (3.9±2.3 d vs. 3.7±1.1 d) or pathology staging (P>0.05) between the two groups. The postoperative pulmonary function analysis revealed that the mean decreased values of forced vital capacity and forced expiratory volume in one second percent predicted in the segmentectomy group were significantly better than those in the lobectomy group (0.2±0.3 L vs. 0.4±0.3 L, P=0.005; 0.3%±8.1% vs. 2.9%±7.4%, P=0.041). Conclusion    Segmentectomy is effective in protecting lungs function, which is expected to improve life quality of patients.

Resin-containing drugs in Dracaena from four different appearances were analyzed by headspace sampling-gas chromatography-mass spectrometry(HS-GC-MS) metabolomics technique and hierarchical clustering analysis(HCA) chemometrics method. This study was to analyze differential volatile components in resin-containing drugs in Dracaena from different appearance and metabolic pathways. The results of partial least squares discriminant analysis(PLS-DA) and HCA analysis indicated that there was little difference in volatile components between fiber-rich sample and hollow cork cambium sample, however, the volatile components in the two samples compared with whole body resin-containing sample and resin-secreting aggregated sample had a large metabolic difference. Twenty differential metabolites were screened by VIP and P values of PLS-DA. The content of these differential metabolites was significantly higher in whole body resin-containing sample and resin-secreting aggregated sample than in fiber-rich sample and hollow cork cambium sample. Sixteen significant metabolic pathways were obtained through enrichment analysis(P<0.05), mainly involved in terpenoids biosynthesis and phenylpropanoid metabolism. This result provided a reference for further study of resin formation mechanism of resin-containing drugs in Dracaena from different appearances. At the same time, it also provided a reference for establishing a multi-index quality evaluation system.
Cluster Analysis ; Discriminant Analysis ; Dracaena ; Gas Chromatography-Mass Spectrometry ; Resins, Plant

Objective:To observe effect of Zeqi Tang in intervening mice with orthotopic lung cancer model, in order to observe its anti-tumor mechanism. Method:An in situ mouse model of non-small cell lung cancer was established through intrapulmonary injection with 1×10⁵ LLC-luc cells. The model mice were intragastrically administered with Zeqi Tang(0.171 g·mL^-1) or normal saline for 35 days. Appearance (spirit, hair, appetite, sleep), survival period and Zeqi Tang anti-tumor effect were observed, weekly vital imaging was performed to detect the fluorescence signal in the lungs of mice. Flow cytometry was used to detect the NK cell content in the spleen of the model mice. CD107α was used to detect the degranulation of NK cells in the spleen of mice after administration of Zeqi Tang. Kromasil 100 5 C₁₈ column was used and eluted with acetonitrile-0.025%phosphoric acid in a gradient mode, with flow rate at 1.0 mL·min^-1, column temperature at 35℃ and detection wavelength of 265 nm, as to establish the fingerprint of Zeqi Tang. The fingerprints of 10 batches of samples was evaluated by using the Chinese Medicine Chromatographic Fingerprint Similarity Evaluation System Software (2012 Edition) recommended by the Chinese Pharmacopoeia Commission, in order to complete the quality control of Zeqi Tang. Result:Zeqi Tang could significantly inhibit the lung fluorescence signal of lung cancer in situ model mice and prolong the survival of mice(P<0.05, P<0.01). After the intervention with Zeqi Tang, the NK cells in the tumors increased significantly(P<0.01), and the degranulation of CD107α also increased significantly(P<0.01). Moreover, the HPLC-DAD fingerprint of Zeqi Tang showed a significant increase in the fingerprint similarity of 10 batches of lacquer soup aqueous extract. Moreover, the HPLC-DAD fingerprint of Zeqi Tang showed that the fingerprint similarity of 10 batches of lacquer soup aqueous extract was ≥ 0.9, indicating that small differences between the batches. Conclusion:Zeqi Tang may enhance the tumor growth and prolong the survival period of mice by up-regulating the number of NK cells in mice and enhancing their degranulation function. The evaluation of similarity of HPLC fingerprint of Zeqi Tang reflects the quality of lacquer soup to a certain extent, and can provide reference for further study.

Objective To establish and evaluate the application of modified capillary immunotyping for cryoglobulin qualification .Methods Referred to literature and benchwork experience , a modified capillary immunotyping technique was set up for cryoglobulin identification . Seventy-eight cryoglobulin positive specimens were collected by a standard method in Peking Union Medical College Hospital from November 2016 to July 2017.Thirty-nine samples were identified the type of the cryoglobulin simultaneously by modified capillary immunotyping ( CI ) and immunofixation electrophoresis ( IFE ) .Results Using the modified capillary immunotyping method , the types of cryoglobulin in seventy-eight specimens were identified.The number of cases decreased in the order of Ⅲ, Ⅱ and Ⅰ type of cryoglobulin .The clinical characteristics coincidence with previous reports .The modified CI method had a dramatic advantage in the speed, clarity, and accuracy of results compared with IFE .The ratio of reportable cases between these two methods was 1:0.87.Conclusion The modified capillary immunotyping was an accurate and easy method for cryoglobulin qualification , and feasible for clinical application .

The concept of biometric identification technology (BIT)was described,and several typical BITs were introduced such as identification technologies for hand, face, physiological features and behavioral trait. The application of BIT was analyzed in military field of foreign countries and China.It's pointed out BIT's future involved in bioassay,integration with wireless video identification technique and etc,comprehensive identification technique with high throughput,high precision and multi mechanism as well as enhanced safety.

Objective To design a visual terrain classification algorithm to facilitate the robot to make appropriate movement strategy by perceiving the surrounding environment.Methods Bag of words (BOW) and support vector machine (SVM) were used to develop a simple and effective terrain classification algorithm.The BOW model involved in feature extraction,codebook generation and feature coding.The mid-level feature developed by BOW model was then fed into SVM classifier to obtain the terrain classification result.Results The quadruped robot platform was applied to performing visual terrain classification experiment in the natural environment.The test environment included floor,asphalt,sand and grass.Good experimental results were achieved,and the classification accuracy was above 90％ (the beat was 97.54％ for grass).Conclusion The algorithm can effectively and accurately distinguish all kinds of terrains,with high accuracy and good stability.The key frame selection method needs researching in the future.