Background Cooking oil fumes are closely related to immune response, and adipose tissue also plays an important role in immune regulation. At present, the biological effect and mechanism of inflammation of adipose tissue induced by oil fume exposure are not clear yet. Objective To investigate the inflammatory effect of different exposure duration of cooking fumes on adipose tissue in mice and explore the role of Nod-like receptor pyrin domain 3 (NLRP3)/cysteinyl aspartate specific proteinase 1 (Caspase 1)/interleukin (IL)-1β signaling pathway. Methods Forty 8-week-old female C57BL/6J mice were randomly divided into 3-day control group (CON₃ group), 7-day control group (CON₇ group), 3-day oil fume exposure group (COF₃ group), and 7-day oil fume exposure group (COF₇ group), with 10 mice in each group. The mice were exposed to oil fumes in a cooking oil fume formation and exposure equipment (COFFEE) for 20 min, followed by a 10-min pause, 1 h a day for consecutive 3 d or 7 d. General condition of mice was observed and body weight was measured every day. After exposure, blood was sampled from the eyeball. Serum levels of IL-6, IL-27, and IL-1β were detected by enzyme-linked immunosorbent assay (ELISA). The adipose tissue of mice was collected and observed after hematoxylin-eosin (HE) staining. The percentages of CD4⁺ and CD8⁺T cells in adipose tissue were detected by flow cytometry. Real-time quantitative PCR (RT-qPCR) was used to detect the expression levels of nuclear factor-κB (NF-κB), NLRP3, Caspase 1, and IL-1β in adipose tissue. Western blot was used to detect the expression levels of NLRP3, Caspase 1, and IL-1β in adipose. Results Compared with the corresponding control group, serum IL-6, IL-27, and IL-1β contents in the COF₃ group and the COF₇ group were significantly increased (P<0.05) except IL-6 in the COF₃ group, and the levels in the COF₇ group were significantly higher than those in the COF₃ group (P<0.05). Vacuolar lipid droplets in adipocytes decreased, cytoplasm shrank, and inflammatory cells infiltrated in the COF₇ group after HE staining. The flow cytometry results showed that the proportions of CD4⁺ and CD8⁺T cells in adipocytes of the COF₃ group and the COF₇ group were increased compared to the corresponding control group, with a significant increase in the COF₇ group (P<0.05), and the CD4⁺/CD8⁺T ratio also significantly increased progressively in the two groups (P<0.05). The results of RT-qPCR showed that compared with the corresponding control group, the mRNA expression levels of NF-κB, NLRP3, Caspase 1, and IL-1β in adipose tissue of mice in the COF₃ group and the COF₇ group were significantly increased (P<0.05, P<0.01). The mRNA expression levels of mice in each exposure group gradually increased over time. The Western blot results showed that compared with the corresponding control group, the protein expressions of NLRP3 and Caspase 1 in the COF₃ group were significantly increased (P<0.01), and the expression of IL-1β protein also increased but without statistical significance. The protein expressions of NLRP3, Caspase 1, and IL-1β in the COF₇ group were significantly higher than those in the CON₇ group (P<0.05, P<0.01). Conclusion Acute exposure to cooking oil fumes can induce significant inflammatory response in adipose tissue, and the effect gradually increases with the extension of exposure time. The mechanism of action may be related to the activation of NLRP3 inflammasome signaling pathway.

OBJECTIVE To analyze and identify the chemical components of Weite’an tablet which is a hospital preparation by UHPLC-Q-TOF-MS, and to find the drug migration components in rat plasma. METHODS In 0.05% formic acid water acetonitrile mobile phase system, after chromatographic separation of the Acquire UPLC BEH C18 column, Q-TOF positive and negative ion scanning was performed, and data processing was performed in SWATH collection mode. At the same time, quantitative analysis of various components in plasma samples was conducted through MRMHR data processing function during qualitative identification. RESULTS A total of 52 chemical components were isolated and identified in the experiment, including 22 flavonoids, 6 phenolic acids, 5 terpenoids, 3 coumarins, 2 alkaloids, amino acids and other compounds. Eight components were introduced into the blood: 6-hydroxy-7-methoxycoumarin, hesperidin, tangerine, stachydrine, berberine, scutellarin and quercetin. CONCLUSION This method is accurate and stable, and is suitable for the analysis and identification of chemical components in Weite’an tablets. The experimental results lay a solid foundation for clinical rational drug use, follow-up drug tissue distribution and basic research of effectors.

Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.

The patient,a male newborn,was admitted to the hospital 2 hours after birth due to prematurity(gestational age 27+5 weeks)and respiratory distress occurring 2 hours postnatally.After admission,the infant developed fever and elevated C-reactive protein levels.On the fourth day after birth,metagenomic next-generation sequencing of cerebrospinal fluid indicated a positive result for Mycoplasma hominis(9 898 reads).On the eighth day,a retest of cerebrospinal fluid metagenomics confirmed Mycoplasma hominis(56 806 reads).The diagnosis of purulent meningitis caused by Mycoplasma hominis was established,and the antibiotic treatment was switched to moxifloxacin[5 mg/(kg·day)]administered intravenously for a total of 4 weeks.After treatment,the patient's cerebrospinal fluid tests returned to normal,and he was discharged as cured on the 76th day after birth.This article focuses on the diagnosis and treatment of neonatal Mycoplasma hominis purulent meningitis,introducing the multidisciplinary diagnosis and treatment of the condition in extremely preterm infants.[Chinese Journal of Contemporary Pediatrics,2024,26(4):432-436]

Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.

Objective:In the era of precision medicine, there is an urgent need for a preclinical evaluation method with a high cost-benefit ratio to improve the effectiveness and value of clinical trials.Methods:Taking clinical needs and scientific research purposes as the starting point, the platform focused on four aspects of project management, information retrieval, quality control, and practical application, and introduced in detail the management practice of building a patient-derived xenograft model platform system.Results:With the support of the institutional system, quality control system, and information system, the patient-derived xenograft model platform was formed with standardization as the core. With the assistance of this platform and scientific research management, as of December 2021, there are 48 animal models of patient-derived xenograft in the database. In total of 6 SCI scientific and technological articles were published using these animal models, with a total impact factor of 36.77 (the highest single article was 7.333). In total of 6 direct industrial projects, 6 clinical trial-related projects, and 4 NSFC projects were approved with a total research fund of 1.5 million yuan.Conclusions:Continuous construction and improvement of the existing platform will help promote the development of basic research translation and clinical research in the field of oncology, and accelerate the development of new oncological diagnosis and treatment models, thereby benefiting more patients.

ObjectiveTo study the effects of Wendantang on the expression of miRNA-219， N-methyl-D-aspartate receptor 2B （NR2B）， disrupted in schizophrenia 1 （DISC1）， and Ca²⁺/calmodulin-dependent protein kinase Ⅱγ （CaMKⅡγ） in the frontal lobe of rats with schizophrenia. MethodSixty rats were randomly divided into six groups， namely normal group， model group， high-， medium-， and low-dose Wendantang groups， and clozapine group， with 10 rats in each group. Rats in high-， medium-， and low-dose Wendantang groups were intragastric with 40， 20， and 10 g·kg^-1 Wendantang， and the ones in clozapine group were intragastric with 0.02 g·kg^-1 clozapine， those in normal and model group were intragastric with equal volume of normal saline， once a day. After 21 days of administration， rats in all groups except for the normal group were injected with 0.6 mg·kg^-1 dizocilpine maleate （MK-801） into the left abdominal cavity for inducing acute schizophrenia. The stereotypic behavior and ataxia in rats were scored according to SAMS and HOFFMAN criteria. The morphological changes in the prefrontal cortex were observed by hematoxylin-eosin （HE） staining. The protein expression levels of NR2B, DISC1 and CaMKⅡγ in the frontal lobe was detected by Western blot. The mRNA expression levels of miRNA-219 was detected by real-time fluorescence quantitative polymerase chain reaction（Real-time PCR）. ResultCompared with normal group， the model group exhibited significantly increased stereotypic behavior and ataxia scores （P<0.01）， karyopyknosis and karyolysis in most neurons of the prefrontal cortex， and down-regulated NR2B， DISC1， and CaMKⅡγ protein expression （P<0.01） and miRNA-219， NR2B， DISC1， and CaMKⅡγ mRNA expression （P<0.01）. Compared with model group， Wendantang high-， medium-， and low-doses group lowered the scores of stereotypic behavior and ataxia at 50， 60 mmin（P<0.05，P<0.01）. In high- and medium-dose Wendantang groups， the neurons in the prefrontal cortex were densely arranged. The karyopyknosis and karyolysis were alleviated to varying degrees. The NR2B protein expression in the frontal lobe was up-regulated （P<0.01）. In the medium- and low-dose Wendantang groups， the DISC1 protein expression in the frontal lobe was up-regulated （P<0.05，P<0.01）. Wendantang at each dose significantly increased the CaMKⅡγ protein expression （P<0.05） and miRNA-219， NR2B， DISC1， and CaMKⅡγ mRNA expression in the frontal lobe （P<0.05，P<0.01）. ConclusionWendantang improves the scores of stereotypical behavior and ataxia， relieves the karyopyknosis and karyolysis of neurons in the prefrontal cortex， and increases the expression levels of miRNA-219， NR2B， DISC1， and CaMKⅡγ of rats with schizophrenia， so as to alleviate the schizophrenic-like symptoms and schizophrenia.

ObjectiveTo investigate effect of conducting training of autism spectrum disorder （ASD） early screening skill on improving the ability to early identify ASD of medical staffs in primary care hospitals. MethodsIn September 2021， the training of ASD early screening skills was carried out for medical staffs from 20 primary care hospitals in Chengdu. After training， the training effect was evaluated. The numbers of referrals from primary care hospitals to superior hospitals， confirmed ASD as well as their average diagnostic age of children with ASD before and after training were used as evaluation indicators. ResultsAfter training， the number of children with suspected ASD referred by primary care hospitals was more than that before training ［（16.65±11.60） vs. （3.40±2.23）， t=5.431， P<0.01］， the number of children diagnosed with ASD was more than that before training［（6.85±4.93） vs. （2.45±1.67）， t=4.171， P<0.01］， and the differences were statistically significant. As for the diagnosed age of ASD children， after training， the average age was lower than that before training ［（34.95±11.67） vs. （42.2±14.64）， t=-2.553， P=0.019］. ConclusionTraining of ASD early screening skills for medical staffs in primary care hospitals may help to improve their ability to early screening ASD children.

Objective:To construct an early warning nursing model for patients with lung cancer who undergoing peripherally inserted central catheter (PICC) chemotherapy and apply it to clinical practice to improve quality of nursing services.Methods:Using the convenient sampling method, a total of 144 lung cancer patients who received PICC chemotherapy in Xinyang Central Hospital from May 2019 to May 2021 were selected. They were divided into the control group and the observation group by the random number method, with 72 cases in each group. The control group adopted the routine specialized nursing model, while the observation group adopted the early warning nursing model. After the intervention, the PICC knowledge and nursing satisfaction were compared between the two groups.Results:PICC knowledge mastery in the observation group was better than that in the control group and patient satisfaction was higher than that in the control group, and the differences were statistically significant ( P<0.05) . Conclusions:The early warning nursing mode of lung cancer patients undergoing PICC chemotherapy can improve knowledge mastery of patients and nursing satisfaction, which has certain promotion value.

Objective: The relationship between outdoor temperature and blood pressure (BP) has been inconclusive. We analyzed data from a prospective cohort study in northwestern China to investigate the effect of outdoor temperature on BP and effect modification by season. Methods: A total of 32,710 individuals who participated in both the baseline survey and the first follow-up in 2011-2015 were included in the study. A linear mixed-effect model and generalized additive mixed model (GAMM) were applied to estimate the association between outdoor temperature and BP after adjusting for confounding variables. Results: The mean differences in systolic blood pressure (SBP) and diastolic blood pressure (DBP) between summer and winter were 3.5 mmHg and 2.75 mmHg, respectively. After adjusting for individual characteristics, meteorological factors and air pollutants, a significant increase in SBP and DBP was observed for lag 06 day and lag 04 day, a 0.28 mmHg (95% Conclusions This study demonstrated a significant negative association between outdoor temperature and BP in a high-altitude environment of northwest China. Moreover, BP showed a significant seasonal variation. The association between BP and temperature differed by season and individuals' demographic characteristics (age, gender, BMI), unhealthy behaviors (smoking and alcohol consumption), and chronic disease status (CVDs, hypertension, and diabetes).
Adult ; Blood Pressure/physiology* ; China/epidemiology* ; Environmental Exposure/statistics & numerical data* ; Female ; Humans ; Male ; Middle Aged ; Prospective Studies ; Risk Factors ; Seasons ; Temperature