ObjectiveTo evaluate the efficacy and safety of Xiaoji Hufei Formula in protecting children with close contact exposure to influenza， and to provide reference and evidence-based support for better clinical prevention and treatment of influenza in children. MethodsA multicenter， prospective， non-randomized， parallel， controlled trial was conducted from October 2021 to May 2022 in five hospitals， including Dongfang Hospital of Beijing University of Chinese Medicine. Confirmed influenza cases and influenza-like illness （ILI） cases were collected， and eligible children with close contact exposure to these cases were recruited in the outpatient clinics. According to whether the enrolled close contacts were willing to take Xiaoji Hufei formula for influenza prevention， they were assigned to the observation group （108 cases） or the control group （108 cases）. Follow-up visits were conducted on days 7 and 14 after enrollment. The primary outcomes were the incidence of ILI and the rate of laboratory-confirmed influenza. Secondary outcomes included traditional Chinese medicine （TCM） symptom score scale for influenza， influenza-related emergency （outpatient） visit rate， influenza hospitalization rate， and time to onset after exposure to influenza cases. ResultsA total of 216 participants were enrolled， with 108 in the observation group and 108 in the control group. Primary outcomes： （1） Incidence of ILI： The incidence was 12.0% （13/108） in the observation group and 23.1% （25/108） in the control group， with the observation group showing a significantly lower incidence （χ²=4.6， P<0.05）. （2） Influenza confirmation rate： 3.7% （4/108） in the observation group and 4.6% （5/108） in the control group， with no statistically significant difference. Secondary outcomes： （1） TCM symptom score scale： after onset， nasal congestion and runny nose scores differed significantly between the two groups （P<0.05）， while other symptoms such as fever， sore throat， and cough showed no significant differences. （2） Influenza-related emergency （outpatient） visit rate： 84.6% （11 cases） in the observation group and 96.0% （24 cases） in the control group， with no significant difference. （3） Time to onset after exposure： The median onset time after exposure to index patients was 7 days in the observation group and 4 days in the control group， with a statistically significant difference （P<0.05）. ConclusionIn previously healthy children exposed to infectious influenza cases under unprotected conditions， Xiaoji Hufei formula prophylaxis significantly reduced the incidence of ILI. Xiaoji Hufei Formula can be recommended as a specific preventive prescription for influenza in children.

ObjectiveTo evaluate the efficacy and safety of Xiaoji Hufei Formula in protecting children with close contact exposure to influenza， and to provide reference and evidence-based support for better clinical prevention and treatment of influenza in children. MethodsA multicenter， prospective， non-randomized， parallel， controlled trial was conducted from October 2021 to May 2022 in five hospitals， including Dongfang Hospital of Beijing University of Chinese Medicine. Confirmed influenza cases and influenza-like illness （ILI） cases were collected， and eligible children with close contact exposure to these cases were recruited in the outpatient clinics. According to whether the enrolled close contacts were willing to take Xiaoji Hufei formula for influenza prevention， they were assigned to the observation group （108 cases） or the control group （108 cases）. Follow-up visits were conducted on days 7 and 14 after enrollment. The primary outcomes were the incidence of ILI and the rate of laboratory-confirmed influenza. Secondary outcomes included traditional Chinese medicine （TCM） symptom score scale for influenza， influenza-related emergency （outpatient） visit rate， influenza hospitalization rate， and time to onset after exposure to influenza cases. ResultsA total of 216 participants were enrolled， with 108 in the observation group and 108 in the control group. Primary outcomes： （1） Incidence of ILI： The incidence was 12.0% （13/108） in the observation group and 23.1% （25/108） in the control group， with the observation group showing a significantly lower incidence （χ²=4.6， P<0.05）. （2） Influenza confirmation rate： 3.7% （4/108） in the observation group and 4.6% （5/108） in the control group， with no statistically significant difference. Secondary outcomes： （1） TCM symptom score scale： after onset， nasal congestion and runny nose scores differed significantly between the two groups （P<0.05）， while other symptoms such as fever， sore throat， and cough showed no significant differences. （2） Influenza-related emergency （outpatient） visit rate： 84.6% （11 cases） in the observation group and 96.0% （24 cases） in the control group， with no significant difference. （3） Time to onset after exposure： The median onset time after exposure to index patients was 7 days in the observation group and 4 days in the control group， with a statistically significant difference （P<0.05）. ConclusionIn previously healthy children exposed to infectious influenza cases under unprotected conditions， Xiaoji Hufei formula prophylaxis significantly reduced the incidence of ILI. Xiaoji Hufei Formula can be recommended as a specific preventive prescription for influenza in children.

The prefrontal cortex (PFC) plays a pivotal role in orchestrating higher-order emotional and cognitive processes, a function that depends on the precise modulation of synaptic activity. Although pharmacological studies have demonstrated that dopamine signaling through dopamine D1 receptor (DRD1) in the PFC is essential for these functions, the cell-type-specific and molecular mechanisms underlying the neuromodulatory effects remain elusive. Using cell-type-specific knockout mice and patch-clamp recordings, we investigated the regulatory role of DRD1 on neurons and astrocytes in synaptic transmission and plasticity. Furthermore, we explored the mechanisms by which DRD1 on astrocytes regulate synaptic transmission and plasticity at the cellular level, as well as emotional and cognitive functions at the behavioral level, through two-photon imaging, microdialysis, high-performance liquid chromatography, transcriptome sequencing, and behavioral testing. We found that conditional knockout of the Drd1 in astrocytes (CKO^AST) increased glutamatergic synaptic transmission and long-term potentiation (LTP) in the medial prefrontal cortex (mPFC), whereas Drd1 deletion in pyramidal neurons did not affect synaptic transmission. The elevated level of d-serine in the mPFC of CKO^AST mice increased glutamatergic transmission and LTP through NMDA receptors. In addition, CKO^AST mice exhibited abnormal emotional and cognitive function. Notably, these behavioral changes in CKO^AST mice could be reversed through the administration of d-serine degrease to the mPFC. These results highlight the critical role of the astrocytic DRD1 in modulating mPFC synaptic transmission and plasticity, as well as higher brain functions through d-serine, and may shed light on the treatment of mental disorders.

Objective:To investigate the mortality-related factors affecting patients with gastrointestinal perforation who are transferred to the intensive care unit (ICU) and to establish a prediction model, and to evaluate the predictive performance of the model.Methods:A retrospective analysis was performed on the medical records of 306 patients who underwent gastrointestinal perforation surgery in Shanxi Bethune Hospital (Shanxi Academy of Medical Sciences) from January 2021 to January 2024 and were transferred to intensive care unit after surgery, including 176 males and 130 females, aged from 28 to 92 years with the average of (66.07±16.03) years. According to the prognosis, patients were divided into survival group ( n=264) and death group ( n=42). Clinical characteristics of the two groups were compared, univariate and multivariate Logistic regression was used to analyze the risk factors of perioperative death, and the related risk factors were selected to establish a nomogram prediction model, the subject work curve was drawn, and the area under the curve (AUC) was calculated. Evaluate its predictive effectiveness; The calibration chart and clinical decision curve were further used to evaluate the prediction accuracy and clinical application value of the model. Results:Clinical data analysis showed that age, white blood cell count, procalcitonin, lactic acid level, preoperative shock, preoperative underlying diseases (cerebral infarction, hormone history), intraoperative blood loss, postoperative lung infection in the death group were higher than those in the survival group ( P<0.05), and hemoglobin was lower than those in the survival group ( P<0.05). Multivariate Logistic regression analysis showed age ( OR=1.422, 95% CI: 1.205-1.680, P<0.001), hemoglobin ( OR=0.945, 95% CI: 0.904-0.987, P=0.012), white blood cell count ( OR=1.832, 95% CI: 1.341-2.501, P<0.001), procalcitonin ( OR=1.099, 95% CI: 1.012-1.192, P=0.024), lactic acid level ( OR=16.435, 95% CI: 3.729-72.425, P<0.001), reoperative shock ( OR=172.358, 95% CI: 13.059-2274.773, P<0.001), intraoperative blood loss ( OR=1.041, 95% CI: 1.017-1.065, P=0.001) and postoperative pulmonary infection ( OR=38.670, 95% CI: 3.449-433.553, P=0.003) was an independent risk factor for perioperative death in intensive care patients after DTP. Based on the screened independent risk factors ( P<0.05), a nomogram model was established and receiver operating characteristic (ROC) curve was drawn. The model area under the curve was 0.985. The accurate graph shows that the predicted results of the model are in good agreement with the actual clinical results, and the analysis of clinical decision curve indicates that the model has high clinical prediction value. Conclusion:Age>71.5 years, hemoglobin< 109 g/L, white blood cell count>17.9×10 9/L, procalcitonin>6.225 ng/mL, lactate level>2.25 mmol/L, preoperative shock, intraoperative blood loss>45 mL and postoperative pulmonary infection are independent risk factors for perioperative death in intensive care patients after DTP.

Objective To investigate the effect and its mechanism of ziyuglycoside Ⅱ on proliferation, migration, invasion and apoptosis of colon cancer cells HT-29. Methods The effect of ziyuglycoside Ⅱ on cell proliferation of colon cancer cells HT-29 was determined by CCK-8 method; the effect of ziyuglycoside Ⅱ on cell migrative capacity of colon cancer cells HT-29 was determined by scratch assay; the effect of ziyuglycoside Ⅱ on cell invasive capacity of colon cancer cells HT-29 was determined by transwell assay; the effects of ziyuglycoside Ⅱ on cell apoptosis of colon cancer cells HT-29 was determined by flow cytometry; the effects of ziyuglycoside Ⅱ on mRNA and protein expression of protein kinase B (AKT)/phosphatidylinositol-3-kinase (PI3K) signal pathway were determined by real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR) and western-blot, respectively. Results Ziyuglycoside Ⅱ (0, 1, 5, 10, 20, 40, 60 and 80 μmol/mL) inhibited proliferation of colon cancer cells HT-29 in a dose-dependent manner. Ziyuglycoside Ⅱ (5, 10 and 20 μmol/mL) inhibited migration of colon cancer cells HT-29 in a dose-dependent manner. Ziyuglycoside Ⅱ (5, 10 and 20 μmol/mL) inhibited invasion of colon cancer cells HT-29 in a dose-dependent manner. Ziyuglycoside Ⅱ (5, 10 and 20 μmol/mL) promoted apoptosis of colon cancer cells HT-29 in a dose-dependent manner. Ziyuglycoside Ⅱ (5, 10 and 20 μmol/mL) increased mRNA expression of AKT and PI3K, decreased mRNA expression of Caspase-3 and Caspase-9. Ziyuglycoside Ⅱ (5, 10 and 20 μmol/mL) increased protein expression of phosphorylated protein kinase B(p-AKT) and phosphorylphosphatidylinositol-3-kinase (p-PI3K), increased the expression of Cleaved-Caspase-3 and Cleaved-Caspase-9 protein. Conclusion Ziyuglycoside Ⅱ can inhibit proliferation, migration and invasion of colon cancer cells HT-29, and promote the apoptosis of colon cancer cells HT-29. Its mechanism may be related to regulating the signal pathway of AKT/PI3K via promoting phosphorylation of AKT and PI3K protein, activation of Caspase-3 and Caspase-9 protein.

Objective:To compare the role and efficacy of serum Helicobacter pylori ( HP) antibody combined with pepsinogen (PG) (ABC method), serum PG combined with gastrin-17 (G-17) (new ABC method) and a new gastric cancer screening scoring system for early gastric cancer screening in healthy people. Methods:Serological examinations were performed on healthy people who underwent physical examination and gastroscopy at the Physical Examination Center of Shanghai Songjiang District Central Hospital from January 2019 to December 2021. The population were divided into low-risk population, medium-risk population and high-risk population based on the above three primary screening methods for gastric cancer. Using gastroscopy and biopsy pathology as the gold standard, the ratio of each risk stratification and the detection rate of gastric cancer of the three screening methods were calculated. Advantages and disadvantages of the three methods were evaluated.Results:A total of 3 199 people who completed physical examination and gastroscopy were included in the study. Ten cases (0.31%) of esophageal cancer were detected by endoscopy, all of whom were early esophageal cancer. Thirty-seven cases (1.16%) of gastric cancer were detected,and the detection rate of early gastric cancer was 86.49%(32/37). The three gastric cancer screening methods were used to evaluate the risk of gastric cancer. According to ABC method, there were 1 853 cases (7.92%) in the low-risk group, 1 339 cases (41.86%) in the medium-risk group, and 7 cases (0.22%) in the high-risk group. The detection rates of gastric cancer were 0.97% (18/1 853), 1.42% (19/1 339), and 0.00%, respectively. According to the new ABC method, there were 2 362 cases (73.84%) in the low-risk group, 804 cases (25.13%) in the medium-risk group, and 33 cases (1.03%) in the high-risk group. The detection rates of gastric cancer were 1.14% (27/2 362), 1.24% (10/804), and 0.00%, respectively. According to the new gastric cancer screening scoring system, there were 1 448 cases (45.26%) in the low-risk group, 1 213 cases (37.92%) in the medium-risk group and 538 cases (16.82%) in the high-risk group. The detection rates of gastric cancer were 0.28% (4/1 448), 1.32% (16/1 213) and 3.16% (17/538), respectively. The detection rate of gastric cancer in the medium- and high-risk groups in total was significantly higher than that in the low-risk group with significant difference ( χ 2=17.935, P<0.001). The ROC curve showed that the AUC of the ABC method, the new ABC method and the new gastric cancer screening scoring system were 0.546, 0.503 and 0.760, respectively. The AUC of the new gastric cancer screening scoring system was significantly higher than those of the ABC method and the new ABC method, and the differences were statistically significant ( P<0.001). Conclusion:The detection rate of gastric cancer in the medium- and high-risk groups of the new gastric cancer screening scoring system is higher than that of the low-risk group, and the missed diagnosis rate of the new gastric cancer screening scoring system is lower than those of the ABC method and the new ABC method. The screening score is of high value for early gastric cancer screening in the healthy population.

Objective:To automatically synthesize Al 18F-fibroblast activation protein inhibitor (FAPI)-74, and explore its value of clinical application. Methods:Al 18F-FAPI-74 was synthesized automatically by the commercial synthesis module CFN-MPS-100, and its yield, radiochemical purity and stability were determined. Sixteen normal Kunming (KM) mice were randomly divided into 4 groups and euthanized at 10, 30, 60 and 90 min after Al 18F-FAPI-74 injection, and the biodistribution was measured. MicroPET/CT dynamic scanning (60 min) was performed in 5 rat pancreatic tumor-bearing BALB/c nude mice to observe the tumor uptake. Al 18F-FAPI-74 PET/CT imaging was performed on 3 volunteers (1 male, 2 females; age: 37, 41, 43 years) to evaluate the clinical application value of Al 18F-FAPI-74. Results:The automated synthesis time of Al 18F-FAPI-74 was about 35 min, with the synthesis yield of (21.34±3.86)% (without attenuation correction, n=5) and the radiochemical purity more than 99%. The radiochemical purity was still more than 96% after placement at 37 ℃ for 6 h. Biodistribution in normal mice and microPET/CT dynamic scanning in tumor-bearing nude mice showed that consistently high uptake in the kidneys and bladder, and the tumor uptake was the highest at 20 min, and the maximum tumor-to-muscle ratio was 3.16±0.01 at 60 min. PET/CT imaging on volunteers showed that there was a small amount of uptake in myocardium, most organs such as the liver and lung had background uptake, and the maximum SUV max of persistent high uptake of tumor was 17.08. Conclusions:Al 18F-FAPI-74 has the advantages of simple synthesis, high yield, stable quality and good imaging performance in mice and volunteers. It is a kind of imaging agent that meets the requirements of clinical diagnosis.

Objective:To analyze the changes of serum lipidomics in patients with sepsis and healthy controls, search for the differences of lipid metabolites, and reveal the changes of lipidomics in the process of sepsis.Methods:A prospective observational study was conducted. From September 2019 to April 2020, morning blood samples of upper extremity superficial veins were collected from 30 patients with definite sepsis diagnosed in intensive care unit (ICU) of Shanxi Bethune Hospital and 30 age-matched healthy subjects during the same period. Serum lipid metabolites were analyzed by ultra-high performance liquid chromatography-mass spectrometry/mass spectrometry (UPLC-MS/MS), and the quality control samples were analyzed by base peak spectroscopy (BPC) and verified experimental repetition. Student t-test and fold change (FC) were used for screening significant differences in lipid metabolites and determining their expression changes. Principal component analysis (PCA) and orthogonal projectionto latent structure discriminant analysis (OPLS-DA) were used to determine the entire allocation of experimental groups apiece, access the quality of being near to the true value of model, and screen the differential lipid metabolites with variable importance of projection (VIP). Finally, Metabo Analyst platform database was used to analyze lipid molecular metabolic pathways. Results:BPC results showed that the experimental repeatability was good and the experimental data was reliable. The main parameter model interpretation rate of PCA model R 2X = 0.511, indicating that the model was reliable. The main parameter model interpretation rate of OPLS-DA model R 2Y = 0.954, Q 2 = 0.913, indicating that the model was stable and reliable. With FC > 2.0 or FC < 0.5, P < 0.05, a total of 72 differential lipid metabolites were obtained based on VIP > 1. Based on Metabo Analyst 5.0, 24 distinguishable lipid metabolites were identified including 8 phosphatidylethanolamine (PE), 7 lysophosphatidylcholine (LPC), 6 phosphatidylcholine (PC), 2 lysophosphatidylethanolamine (LPE) and 1 phosphatidylserine (PS). Compared with healthy volunteers, the lipid molecules expression proved down-regulated in most sepsis patients, including PC, LPC, LPE, and some PE, while some PE and PS were up-regulated, which was mainly related to the PE (18∶0p/20∶4), PC (16∶0/16∶0) and LPC (18∶1) metabolic pathways in glycerophospholipids. Conclusions:There are significant differences in lipid metabolites between the sera of sepsis patients and healthy volunteers. PE (18∶0p/20∶4), PC (16∶0/16∶0) and LPC (18∶1) may be new targets for sepsis prediction and intervention.

Objective:To screen lipid biomarker in sepsis patients with different survival outcome based on ultra high performance liquid chromatography-mass spectrometry(UHPLC-MS/MS) technique.Methods:From September 2019 to April 2020, 30 septic patients admitted in Department of Intensive Care Unit and 30 cases of physical examination at the same time in Shanxi Bethune Hospital were studied. Lipid metabolite in serum were detected by UHPLC-MS/MS technique. According to the 28 day survival outcome of sepsis patients, they were divided into survival group (21 cases) and death group (9 cases). The baseline data of case group and control group, survival group and death group were compared respectively. Independent sample t-test and orthogonal partial least squares discriminant analysis (OPLS-DA) were further performed to identify lipid biomarkers related to sepsis survival outcome. Receiver operating characteristic (ROC) curve to evaluate the predictive efficacy of differential lipids on the survival outcome of biomarker sepsis patients. Results:There were 32 lipid subclasses and 1 437 differential lipid molecules in the sepsis group compared with the control group. 196 differential lipid molecules in the sepsis survival group and the death group were screened according to the OPLS-DA model (variable weight of projection (VIP)>1), which were glycerophosphingolipids (129), sphingolipids (52), glycerides (14), and sterols (1).All the original data were statistically analyzed by univariate independent sample t-test. There were statistically significant differences in 15 lipid molecules between the two groups. Combined with VIP > 1 and P < 0.01, three lipid molecules were finally screened, which were sphingomyelin (SM) lipid molecules, SM (d30∶1), SM (d32∶2), SM (d32∶1). ROC curve analysis showed that the areas under curves of the above three lipid molecular were 0.915, 0.892, 0.898, respectively. The sensitivity was 77.27%, 95.45%,72.73%. The specificity was 100.0%, 87.5%,100.0%. Further Z-test showed that there was no significant difference in the area under the ROC curve ( Z(SM (d30∶1) and SM (d32∶1)) =0.36, P=0.722; Z(SM (d30∶1) and SM (d32∶2))=0.34, P=0.732; Z(SM (d32∶1) and SM (d32∶1))=0.07, P=0.942). Conclusions:Sphingomyelin may be involved in the formation of different clinical outcomes of sepsis, and has a good predictive effect on the survival outcome of sepsis.