ObjectiveThis paper aims to investigate the protective effects of the Tanyu Tongzhi Youhua prescription（TYTZP） against myocardial ischemia/reperfusion injury in rats via regulation of the cyclic GMP-AMP synthase （cGAS）/stimulator of interferon genes （STING） signaling pathway. MethodsFifty-six 8-week-old male Sprague-Dawley （SD） rats were randomly divided into sham group， model group， ticagrelor group （32.4 mg·kg^-1）， RU320521 （RU.521cGAS inhibitors） group （5 mL·kg^-1）， groups of TYTZP with low dose （3.6 g·kg^-1）， medium dose （7.2 g·kg^-1）， and high dose （14.4 g·kg^-1）， with eight rats per group. The ticagrelor group and groups of TYTZP with different doses received pre-treatment for seven days according to their respective protocols. The RU.521 group received an intraperitoneal injection one hour before modeling. A rat model of the no-reflow phenomenon in myocardial ischemia/reperfusion injury was established by ligating the left anterior descending coronary artery in situ. Myocardial no-reflow area was determined by thioflavin staining. Histopathological morphology of myocardial tissue was observed via hematoxylin and eosin （HE） staining. Cardiac function was detected by echocardiography. Myocardial microcirculation function change was observed by using real-time myocardial contrast echocardiography. The myocardial enzyme levels in the serum were measured by serum biochemical analysis. The double-stranded DNA （dsDNA） levels were detected by using PicoGreen. The protein expression of cGAS， STING， and nuclear factor-κB （NF-κB） p65 in myocardial tissue was detected by Western blot. The levels of cardiac troponin Ⅰ （cTNⅠ）， cardiac troponin T （cTNT）， interleukin-6 （IL-6）， interleukin-1β （IL-1β）， and tumor necrosis factor-α （TNF-α） in the peripheral blood were measured by enzyme-linked immunosorbent assay （ELISA）. ResultsCompared with the sham group， the model group showed a significantly increased myocardial no-reflow area （P<0.01）. Myocardial fiber rupture and disarray and inflammatory cell infiltration were observed by HE staining. The ultrasound results indicated that left ventricular ejection fraction （LVEF） and left ventricular fractional shortening （LVFS） （P<0.01） were significantly decreased. Real-time myocardial contrast echocardiography showed that the peak time of myocardial blood perfusion was significantly prolonged （P<0.01）， and the levels of creatine kinase （CK）， creatine kinase isoenzyme （CK-MB）， lactate dehydrogenase （LDH）， cTNⅠ， cTNT， and dsDNA were significantly elevated （P<0.01）. Western blot results showed that the myocardial protein expressions of cGAS， STING， and NF-κB p65 were upregulated （P<0.01）. ELISA results showed that the inflammatory factors in the serum such as IL-6， IL-1β， and TNF-α were increased （P<0.01）. Compared with the model group， the group of the TYTZP significantly reduced the levels of myocardial enzyme， troponins， and dsDNA （P<0.01， P<0.05）， improved cardiac function and myocardial microcirculation， alleviated histopathological morphology and inflammatory infiltration， inhibited activation of the cGAS/STING pathway， reduced the expression of NF-κB p65 （P<0.01， P<0.05）， and inhibited inflammatory response. ConclusionThe TYTZP mitigates the no-reflow phenomenon in myocardial ischemia/reperfusion injury， and its mechanism is associated with inhibiting the activation of the cGAS/STING pathway and attenuating inflammatory responses.

ObjectiveThis paper aims to investigate the protective effects of the Tanyu Tongzhi Youhua prescription（TYTZP） against myocardial ischemia/reperfusion injury in rats via regulation of the cyclic GMP-AMP synthase （cGAS）/stimulator of interferon genes （STING） signaling pathway. MethodsFifty-six 8-week-old male Sprague-Dawley （SD） rats were randomly divided into sham group， model group， ticagrelor group （32.4 mg·kg^-1）， RU320521 （RU.521cGAS inhibitors） group （5 mL·kg^-1）， groups of TYTZP with low dose （3.6 g·kg^-1）， medium dose （7.2 g·kg^-1）， and high dose （14.4 g·kg^-1）， with eight rats per group. The ticagrelor group and groups of TYTZP with different doses received pre-treatment for seven days according to their respective protocols. The RU.521 group received an intraperitoneal injection one hour before modeling. A rat model of the no-reflow phenomenon in myocardial ischemia/reperfusion injury was established by ligating the left anterior descending coronary artery in situ. Myocardial no-reflow area was determined by thioflavin staining. Histopathological morphology of myocardial tissue was observed via hematoxylin and eosin （HE） staining. Cardiac function was detected by echocardiography. Myocardial microcirculation function change was observed by using real-time myocardial contrast echocardiography. The myocardial enzyme levels in the serum were measured by serum biochemical analysis. The double-stranded DNA （dsDNA） levels were detected by using PicoGreen. The protein expression of cGAS， STING， and nuclear factor-κB （NF-κB） p65 in myocardial tissue was detected by Western blot. The levels of cardiac troponin Ⅰ （cTNⅠ）， cardiac troponin T （cTNT）， interleukin-6 （IL-6）， interleukin-1β （IL-1β）， and tumor necrosis factor-α （TNF-α） in the peripheral blood were measured by enzyme-linked immunosorbent assay （ELISA）. ResultsCompared with the sham group， the model group showed a significantly increased myocardial no-reflow area （P<0.01）. Myocardial fiber rupture and disarray and inflammatory cell infiltration were observed by HE staining. The ultrasound results indicated that left ventricular ejection fraction （LVEF） and left ventricular fractional shortening （LVFS） （P<0.01） were significantly decreased. Real-time myocardial contrast echocardiography showed that the peak time of myocardial blood perfusion was significantly prolonged （P<0.01）， and the levels of creatine kinase （CK）， creatine kinase isoenzyme （CK-MB）， lactate dehydrogenase （LDH）， cTNⅠ， cTNT， and dsDNA were significantly elevated （P<0.01）. Western blot results showed that the myocardial protein expressions of cGAS， STING， and NF-κB p65 were upregulated （P<0.01）. ELISA results showed that the inflammatory factors in the serum such as IL-6， IL-1β， and TNF-α were increased （P<0.01）. Compared with the model group， the group of the TYTZP significantly reduced the levels of myocardial enzyme， troponins， and dsDNA （P<0.01， P<0.05）， improved cardiac function and myocardial microcirculation， alleviated histopathological morphology and inflammatory infiltration， inhibited activation of the cGAS/STING pathway， reduced the expression of NF-κB p65 （P<0.01， P<0.05）， and inhibited inflammatory response. ConclusionThe TYTZP mitigates the no-reflow phenomenon in myocardial ischemia/reperfusion injury， and its mechanism is associated with inhibiting the activation of the cGAS/STING pathway and attenuating inflammatory responses.

Objective:To construct a predictive model for mortality in patients with multiple trauma combined with thoracic injuries and evaluate its predictive value.Methods:A retrospective cohort study was conducted to analyze the clinical data of 184 patients with multiple trauma combined with thoracic injuries admitted to the International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine from April 2019 to December 2023, including 129 males and 55 females, aged 19-85 years [(46.1±13.7)years]. According to the prognostic outcomes at 3-month follow-up after discharge, the patients were divided into survival group ( n=145) and death group ( n=39). Data were recorded in both groups at admission, including gender, age, and cause of injury, laboratory tests such as systolic blood pressure, oxygen saturation (SaO 2), hemoglobin (Hb), neutrophil-to-lymphocyte ratio (NLR), and lactate, combined injuries such as the number of combined injuries, number of rib fracture, bilateral rib fracture, first-rib fracture, sternum fracture, thoracic vertebral fracture, bilateral pulmonary contusion, bilateral pneumothorax, subarachnoid hemorrhage, subdural hematoma, epidural hematoma, skull fracture, skull base fracture, cervical vertebral fracture, brain herniation, cerebral contusion, lumbar vertebral fracture, pelvic and abdominal cavity hematoma, liver injury, kidney injury, spleen injury, clavicle fracture, scapular fracture, femoral fracture, and pelvic fracture, and injury scores such as shock index (SI), modified shock index (MSI), injury severity score (ISS), revised trauma score (RTS), Glasgow coma score (GCS), and thoracic trauma severity (TTS) score. Univariate binary logistic regression analysis was used to screen for risk factors of death in patients with multiple trauma combined with thoracic injuries. LASSO regression and multivariate logistic regression analysis were employed to identify predictive variables and independent risk factors for mortality in those patients and to construct a regression equation. A nomogram prediction model based on the regression equation was developed using R language. Receiver operating characteristic (ROC) curves were plotted to evaluate the discrimination of the model. The ROC curves were internally validated using the Bootstrap method with 1 000 resamples. The calibration of the model was assessed using the Hosmer-Lemeshow (H-L) goodness-of-fit test. The clinical application value of the model was evaluated using decision curve analysis (DCA) and clinical impact curve (CIC) analysis. Results:There were statistically significant differences between the survival group and the death group in systolic blood pressure, SaO 2, NLR, lactate, number of combined injuries, subarachnoid hemorrhage, subdural hematoma, skull fracture, skull base fracture, brain herniation, liver injury, SI, MSI, ISS, RTS, GCS, and TTS ( P<0.05 or 0.01). The results of the univariate binary logistic regression analysis showed that the above-mentioned related variables except for systolic blood pressure were all significantly associated with death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Five predictive variables, TTS, GCS, brain herniation, ISS, and lactate were obtained in LASSO regression analysis. The results of the multivariate logistic regression analysis showed that GCS ( OR=0.70, 95% CI 0.58, 0.83), brain herniation ( OR=46.18, 95% CI 4.27, 499.26), TTS ( OR=1.71, 95% CI 1.30, 2.24), and lactate ( OR=1.35, 95% CI 1.01, 1.80) were independent risk factors for death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Based on the aforementioned independent risk factors, a regression formula was constructed as follows: P=e x/(1+e x), with the x=-0.36×"GCS"+3.83×"brain herniation"+0.53×"TTS"+0.30×"lactate levels"-11.03. The area under the ROC curve (AUC) of the predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on the equation was 0.97 (95% CI 0.93, 1.00). The AUC was internally validated using the Bootstrap method with 1 000 samples, resulting in an AUC of 0.97 (95% CI 0.91, 1.00). The results of the H-L goodness-of-fit test showed that the bias-corrected calibration curve of the model was in good consistence with the actual curve and both of them were close to the ideal curve. In the evaluation of the clinical application value of the predictive model, the DCA results showed that the predictive model could achieve good clinical net benefit. The CIC results showed that when the threshold probability was greater than 0.7, the model-identified high-risk patients for death highly matched the patients who actually died. Conclusion:The predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on GCS, brain herniation, TTS, and lactate has good predictive performance and clinical application value.

Objective:To construct a predictive model for mortality in patients with multiple trauma combined with thoracic injuries and evaluate its predictive value.Methods:A retrospective cohort study was conducted to analyze the clinical data of 184 patients with multiple trauma combined with thoracic injuries admitted to the International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine from April 2019 to December 2023, including 129 males and 55 females, aged 19-85 years [(46.1±13.7)years]. According to the prognostic outcomes at 3-month follow-up after discharge, the patients were divided into survival group ( n=145) and death group ( n=39). Data were recorded in both groups at admission, including gender, age, and cause of injury, laboratory tests such as systolic blood pressure, oxygen saturation (SaO 2), hemoglobin (Hb), neutrophil-to-lymphocyte ratio (NLR), and lactate, combined injuries such as the number of combined injuries, number of rib fracture, bilateral rib fracture, first-rib fracture, sternum fracture, thoracic vertebral fracture, bilateral pulmonary contusion, bilateral pneumothorax, subarachnoid hemorrhage, subdural hematoma, epidural hematoma, skull fracture, skull base fracture, cervical vertebral fracture, brain herniation, cerebral contusion, lumbar vertebral fracture, pelvic and abdominal cavity hematoma, liver injury, kidney injury, spleen injury, clavicle fracture, scapular fracture, femoral fracture, and pelvic fracture, and injury scores such as shock index (SI), modified shock index (MSI), injury severity score (ISS), revised trauma score (RTS), Glasgow coma score (GCS), and thoracic trauma severity (TTS) score. Univariate binary logistic regression analysis was used to screen for risk factors of death in patients with multiple trauma combined with thoracic injuries. LASSO regression and multivariate logistic regression analysis were employed to identify predictive variables and independent risk factors for mortality in those patients and to construct a regression equation. A nomogram prediction model based on the regression equation was developed using R language. Receiver operating characteristic (ROC) curves were plotted to evaluate the discrimination of the model. The ROC curves were internally validated using the Bootstrap method with 1 000 resamples. The calibration of the model was assessed using the Hosmer-Lemeshow (H-L) goodness-of-fit test. The clinical application value of the model was evaluated using decision curve analysis (DCA) and clinical impact curve (CIC) analysis. Results:There were statistically significant differences between the survival group and the death group in systolic blood pressure, SaO 2, NLR, lactate, number of combined injuries, subarachnoid hemorrhage, subdural hematoma, skull fracture, skull base fracture, brain herniation, liver injury, SI, MSI, ISS, RTS, GCS, and TTS ( P<0.05 or 0.01). The results of the univariate binary logistic regression analysis showed that the above-mentioned related variables except for systolic blood pressure were all significantly associated with death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Five predictive variables, TTS, GCS, brain herniation, ISS, and lactate were obtained in LASSO regression analysis. The results of the multivariate logistic regression analysis showed that GCS ( OR=0.70, 95% CI 0.58, 0.83), brain herniation ( OR=46.18, 95% CI 4.27, 499.26), TTS ( OR=1.71, 95% CI 1.30, 2.24), and lactate ( OR=1.35, 95% CI 1.01, 1.80) were independent risk factors for death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Based on the aforementioned independent risk factors, a regression formula was constructed as follows: P=e x/(1+e x), with the x=-0.36×"GCS"+3.83×"brain herniation"+0.53×"TTS"+0.30×"lactate levels"-11.03. The area under the ROC curve (AUC) of the predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on the equation was 0.97 (95% CI 0.93, 1.00). The AUC was internally validated using the Bootstrap method with 1 000 samples, resulting in an AUC of 0.97 (95% CI 0.91, 1.00). The results of the H-L goodness-of-fit test showed that the bias-corrected calibration curve of the model was in good consistence with the actual curve and both of them were close to the ideal curve. In the evaluation of the clinical application value of the predictive model, the DCA results showed that the predictive model could achieve good clinical net benefit. The CIC results showed that when the threshold probability was greater than 0.7, the model-identified high-risk patients for death highly matched the patients who actually died. Conclusion:The predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on GCS, brain herniation, TTS, and lactate has good predictive performance and clinical application value.

ObjectiveTo investigate the effects of thyme herbal tea （BLX） on the proliferation of human coronavirus OC43 （HCoV-OC43） in vitro and in vivo. MethodThe chemical composition of BLX was analyzed by UPLC-MS. The cytotoxicity of BLX in HRT-18 cells and the effect of BLX treatment on the proliferation of HCoV-OC43 in cells were analyzed. Copies of viral gene were detected by real-time PCR. The effect of BLX treatment on the life cycle of HCoV-OC43 was detected by time-of-addition assay. The maximum tolerated dose of BLX and the influences of BLX on the body weight and survival time of suckling mice infected with HCoV-OC43 were determined. The expression of viral protein in the brain and lung tissue was analyzed by immunohistochemistry. ResultThere were 11 chemical components identified in BLX by UPLC-MS. BLX showed the 50% cytotoxic concentration （CC₅₀） of （13 859.56±319） mg·L^-1， the median inhibitory concentration （IC₅₀） of （1 439.09±200） mg·L^-1， and the selection index of 8.26-11.44 for HCoV-OC43 in HRT-18 cells. Compared with the cells infected with HCoV-OC43， BLX at the concentrations of 1 500， 1 000， 500 mg·L^-1 inhibited the proliferation of this virus （P<0.05， P<0.01）. BLX exhibited antiviral effect in the early stage of virus infection， and the inhibition role in the attachment stage was more significant than that in the entry stage （P<0.05）. In the suckling mice infected with HCoV-OC43， BLX at 1200 and 600 mg·kg^-1·d^-1 alleviated the symptoms， prolonged the survival period， reduced the death rate， and down-regulated the mRNA level of nucleocapsid protein in the mice. Moreover， BLX at 1 200 mg·kg^-1·d^-1 down-regulated the expression of nucleocapsid protein in the brain （P<0.01） and the lung （P<0.01）. ConclusionBLX contained multiple antiviral ingredients. It inhibited the proliferation of HCoV-OC43 both in vitro and in vivo by interference with viral attachment. This study provides theoretical reference for the treatment of acute respiratory tract infection with HCoV-OC43 and for further development and application of BLX.

OBJECTIVE To elucidate the mechanisms responsible for the inhibitory effects of limonene on the proliferation of non-small cell lung cancer(NSCLC) by non-targeted metabolomics and additional approaches. METHODS The CCK-8 assay was utilized to evaluate the inhibitory effects of limonene on NSCLC A549 cell viability and to ascertain the IC50. In vitro experiments, encompassing colony formation, flow cytometry, iron content assessment, and mitochondrial staining, were conducted to assess the anti-lung cancer and iron-induced cell death effects of limonene. Metabolomic analysis was employed to identify potential pathways influenced by limonene, and Western blotting was carried out to validate pivotal proteins within these pathways. RESULTS In comparison to the control group, the limonene-treated group demonstrated a significant, dose-dependent reduction in A549 cell proliferation and colony formation. Optical microscopy revealed cellular detachment and pronounced changes in cellular morphology following exposure to limonene. Limonene induced apoptosis in A549 cells and arrested them in the G0-G1 phase of the cell cycle. Confocal microscopy unveiled diminished mitochondrial fluorescence and an augmented intracellular iron content, indicative of the classical phenomenon of ferroptosis. Metabolomic investigations unveiled divergent metabolic pathways, including glutathione(GSH) metabolism, arginine biosynthesis, D-glutamine and D-glutamate metabolism, as well as cysteine and methionine metabolism, with many of them intricately linked to intracellular GSH synthesis. Western blotting experiments underscored a marked reduction in the levels of SLC40A1, SLC7A11(xCT), and GPX4 proteins within the cells post-limonene treatment. CONCLUSION Limonene may induce ferroptosis in lung cancer cells by reducing GSH synthesis and increasing Fe2+ levels.

OBJECTIVE：To study the effects of limonin on immune function and apo ptosis-related factors expression in MFC gastric cancer bearing model mice. METHODS ：MFC gastric cancer bearing model was established by inoculating MFC gastric cancer cells into the right armpit of mice. After modeling ，model mice were divided into model group ，cyclophosphamide group （positive control ，25 mg/kg）and limonin high-dose ，medium-dose and low-dose groups （100，50 and 25 mg/kg），with 10 mice in each group. Other groups were given relevant medicine intragastrically ，once a day ，for consecutive 14 days，except that model group was given 0.5％ sodium carboxymethyl cellulose intragastrically. Before administration and after last administration ，the body weight of mice was measured ；spleen，thymus and tumor tissue were taken after the last administration to calculate the spleen index，thymus index and tumor inhibition rate. The percentage of CD 4+ and CD 8+ T lymphocytes ，CD4+/CD8+ ratio were detected by flow cytometry. The expression of immune function related indexes （IL-2，IL-10，IFN-γ）in serum were detected by ELISA. RT-PCR and Western blot assay were adopted to detect relative mRNA and protein expression of apoptosis-related factors [cytochrome C （Cyt-C），Bcl-2，Bax] in tumor tissue of mice. RESULTS ：There was no significant difference in body weight among the other groups except that of cyclophosphamide group was decreased significantly ，compared with model group （P＜0.05）. Inhibitory rate of tumor were （58.16 ± 7.07）％ ，（37.09 ± 4.26）％ ，（27.30 ± 3.64）％ ，（15.13 ± 2.95）％ in cyclophosphamide group ，limonin high-dose ，medium-dose and low-dose groups. Compared with model group ，spleen index ， thymus index ，the percentages of CD 4+ and CD 8+T lymphocyte cells ，CD4+/CD8+ ratio，serum levels of IL- 2 and IL- 10，relative mRNA and protein expression of Bcl- 2 in tumor of mice in cyclophosphamide group as well as the expression of IL- 10，relative mRNA and protein expression of Bcl- 2 in limonin groups were decreased significantly （P＜0.05）. The expression of IFN-γ，relative mRNA and protein expression of Cyt-C and Bax of cyclophosphamide group as well as spleen index （except for low-dose group ）， thymus index ， the percentage of CD 4 + and CD 8 + T lymphocytes，CD4+/CD8+ ratio，the expression of IL- 2 and IFN-γ，and relative mRNA and protein expression of Cyt-C and Bax in limonin groups were increased significantly （P＜0.05）. CONCLUSIONS ：Limonin can inhibit tumor growth in MFC gastric cancer bearing model mice ，and the side effects are relatively weak. Its mechanism is related to the improvement of immune function and the induction of apoptosis.

ObjectiveObjective To investigate the value of pancreatic elasticity based on shear wave elastography (SWE) in predicting the risk of pancreatic fistula, to measure pancreatic hardness by determining the SWE level of the pancreatic body, and to reduce the development of pancreatic fistula after pancreaticoduodenectomy. MethodsA retrospective analysis was performed for the clinical data of 53 patients who were admitted to The Affiliated Hospital of Binzhou Medical University from October 2017 to February 2019 and underwent pancreaticoduodenectomy (PD). The 53 patients were divided into pancreatic fistula group with 10 patients who developed pancreatic fistula after PD and non-pancreatic fistula group with 43 patients who did not develop this disease after PD. The elasticity value of the pancreatic body measured by SWE was used to reflect the tissue elasticity of the pancreas and evaluate the hardness of the pancreas. The t-test was used for comparison of continuous data between two groups, and the chi-square test was used for comparison of categorical data between groups. A logistic regression analysis was used for univariate analysis, and the Spearman’s correlation coefficient was used to investigate the correlation between SWE and other laboratory data. ResultsBody mass index (BMI) (t=1.321), preoperative total bilirubin (t=1.347), diameter of the main pancreatic duct (t=1.385), maximum SWE value (t=1.728), mean SWE value (t=1.634), and intraoperative pancreatic hardness (χ2=4.983) were risk factors for pancreatic fistula (all P＜0.05). Maximum SWE value and mean SWE value were negatively correlated with age and time of operation (maximum SWE value: r=-0.329 and -0.260, both P＜0.05; mean SWE value: r=-0.282, and -0.282, both P＜0.05) and positively correlated with BMI (r=0.275 and 0.350, both P＜0.05). ConclusionSWE level is an independent risk factor for pancreatic fistula after pancreaticoduodenectomy, and the SWE level of the pancreatic body has a high predictive value and guiding significance in surgical treatment.

Objective To analyse distribution and antibacterial resistance status of pathogenic bacteria isolated from blood cul‐tures of hospitalized infants ,in order to provide references for rational use of antimicrobial agents in the treatment of bloodstream infection .Methods A total of 299 strains of pathogenic bacteria isolated from positive blood culture specimens from infants(3 or less than 3 months of age) suspected with bloodstream infections in this hospital from January 2011 to May 2015 were collected ,the bacteria identification and drug sensitivity test were carried out by using the VITEK 2 Compact automatic microorganism analyzer . The composition and antibacterial resistance of these isolates were analyzed .Results Among the 299 strains of pathogenic bacteria , there were 169 strains of gram‐positive cocci(accounted for 56 .5% ) ,including 95 strains of coagulase negative Staphylococcus (ac‐counted for 31 .8% ) which was the main isolates ,and followed by 28 strains of Staphylococcus aureus(accounted for 9 .4% );there were 120 strains of gram‐negative bacilli (accounted for 40 .1% ) and mainly were Escherichia coli (53 strains ,accounted for 17 .7% );otherwise ,there were 8 strains of fungi (accounted for 2 .7% ) and 2 strains of gram‐positive bacillus (accounted for 0 .7% ) .The results of drug susceptibility test indicated that the gram‐positive cocci had multiple drug resistance to antibacterial a‐gents except for vancomycin and linezolid;the gram‐negative bacilli shown multiple drug resistance except for amikacin ,imipenem and meropenem .The fungus ,however ,displayed high sensitivty to all antifungal drugs .Conclusion Gram‐positive and gram‐nega‐tive bacteria are the main pathogens of hospitalized infants with bloodstream infection ,and are severely resistant to antibacterial a‐gents .Rational use of antimicrobial agents should be recommend for improving clinical efficacy and prohibiting the emergence of drug‐resistant strains .

In order to scientifically classify ancient TCM literature and promote the development and use of the literature, this paper combs the classification methods used in the bibliography literature, the modern databases and the libraries of TCM, analyzes the features of the classification methods, summarizes the existing problems in the classify of ancient TCM literature, and proposes the solutions.