Objective:To study the current status of longitudinal extrauterine growth restriction (EUGR) in extremely preterm infants (EPIs) and to develop a prediction model based on clinical data from multiple NICUs.Methods:From January 2017 to December 2018, EPIs admitted to 32 NICUs in North China were retrospectively studied. Their general conditions, nutritional support, complications during hospitalization and weight changes were reviewed. Weight loss between birth and discharge > 1SD was defined as longitudinal EUGR. The EPIs were assigned into longitudinal EUGR group and non-EUGR group and their nutritional support and weight changes were compared. The EPIs were randomly assigned into the training dataset and the validation dataset with a ratio of 7∶3. Univariate Cox regression analysis and multiple regression analysis were used in the training dataset to select the independent predictive factors. The best-fitting Nomogram model predicting longitudinal EUGR was established based on Akaike Information Criterion. The model was evaluated for discrimination efficacy, calibration and clinical decision curve analysis.Results:A total of 436 EPIs were included in this study, with a mean gestational age of (26.9±0.9) weeks and a birth weight of (989±171) g. The incidence of longitudinal EUGR was 82.3%(359/436). Seven variables (birth weight Z-score, weight loss, weight growth velocity, the proportion of breast milk ≥75% within 3 d before discharge, invasive mechanical ventilation ≥7 d, maternal antenatal corticosteroids use and bronchopulmonary dysplasia) were selected to establish the prediction model. The area under the receiver operating characteristic curve of the training dataset and the validation dataset were 0.870 (95% CI 0.820-0.920) and 0.879 (95% CI 0.815-0.942), suggesting good discrimination efficacy. The calibration curve indicated a good fit of the model ( P>0.05). The decision curve analysis showed positive net benefits at all thresholds. Conclusions:Currently, EPIs have a high incidence of longitudinal EUGR. The prediction model is helpful for early identification and intervention for EPIs with higher risks of longitudinal EUGR. It is necessary to expand the sample size and conduct prospective studies to optimize and validate the prediction model in the future.

Objective:To analyze the epidemiological characteristics of respiratory syncytial virus (RSV) among children in Hebei from 2019 to 2023.Methods:A total of 46 576 lower respiratory tract specimens were collected from hospitalized children in the Children′s Hospital of Hebei Province from 2019 to 2023. Multiple RT-PCR and capillary electrophoresis were used to detect 13 common respiratory pathogens in the specimens, and the results were statistically analyzed.Results:The overall positive rate of RSV was 18.76%(8 739/46 576). The overall positive rates of RSV in male and female children were 18.84%(5 174/27 462) and 18.65%(3 565/19 114), respectively, showing no statistically significant difference between genders (χ 2=0.916, P=0.339). A linear relationship was found between the positive rate of RSV and age ( P<0.01). There was a significant difference in the positive rates of RSV in different years (χ 2=723.71, P<0.01). The positive rate of RSV peaked in the period from December to February from 2019 to 2021. In 2019 and 2020, the positive rates of RSV were very low from May to October, while the positive rate of RSV was above 10% throughout the whole year of 2021 and small off-season epidemics occurred in May and August. The positive rate of RSV was low in 2022, and no significant seasonal change was observed. The rate of RSV infections peaked from April to June in 2023. There were significant differences in the rates of RSV infections before, during and after the COVID-19 epidemic in each age group ( P<0.01). The rate of mixed infections was 29.20%(2 522/8 739), and the most common other respiratory pathogen was human rhinovirus (52.29%, 1 342/2 552 ). Conclusions:RSV is a common pathogen causing respiratory tract infections in children in Hebei, especially in children under 3 years old. After the COVID-19 epidemic, there are off-season RSV epidemics. Given the variations in the epidemiological features of RSV, it is necessary to carry out continuous monitoring of RSV to provide scientific data for the prevention and control of related diseases.

Objective To explore the effect of Shuanglu Tongnao Formula on neuronal ferroptosis in ischemic stroke rats and its regulatory mechanism on the silent information regulator 2 homolog 1(SIRT1)/nuclear factor erythroid 2-related fac-tor 2(Nrf2)/glutathione peroxidase 4(GPx4)signaling pathways.Methods Twenty rats were selected as sham operation group by the random number table method,and the remaining seventy rats were made ischemic stroke rat models by the middle cerebral artery occlusion method.The rats that had been successfully modeled were randomly divided into the model control group,Shuanglu Tongnao formula group,Shuanglu Tongnao formula+SIRT1 inhibitor group(Shuanglu Tongnao formula+EX527 group),with 20 rats in each group.After 14 days,the rats were scored for neurological injury;TTC staining was applied to detect the area of cerebral infarction in rats;HE staining was applied to detect pathological changes in rat brain tissue;Nissl staining was applied to detect the number of neurons in rat brain tissue;the kit was applied to detect the levels of ferri ion(Fe2+),superoxide dismutase(SOD),glutathione(GSH),and malonaldehyde(MDA)in rat brain tissue;immunohistochemistry was applied to de-tect the positive expression of acyl-CoA synthetase long-chain family member 4(ACSL4),transferrin receptor(TFR),and ferritin heavy polypeptide 1(FTH1)proteins in rat brain tissue;Western blotting method was applied to detect the expression of SIRT1,Nrf2,GPx4,and cystine/glutamate antiporter solute carrier family 7 member 11(SLC7A11)proteins in rat brain tissue.Results Compared with the sham operation group,the neurological deficit score,cerebral infarction area,the contents of Fe2+and MDA,and the protein expressions of ACSL4 and TFR in model control group were increased(P<0.05);the number of neurons,the con-tents of SOD and GSH,the protein expression of FTH1,SIRT1,Nrf2,GPx4,and SLC7A11 were all reduced(P<0.05).Compared with the model control group,the neurological deficit score,cerebral infarction area,the contents of Fe2+and MDA,and the protein expression of ACSL4 and TFR in the Shuanglu Tongnao formula group were reduced(P<0.05),and the number of neurons,the contents of SOD and GSH,the protein expressions of FTH1,SIRT1,Nrf2,GPx4,and SLC7A11 are all increased(P<0.05).The results of the SIRT1 inhibitor supplementation experiment showed that the SIRT1 inhibitor reversed the inhibitory effect of Shuan-glu Tongnao formula on neuronal ferroptosis,while also inhibited the expression of Nrf2 and GPx4(P<0.05).Conclusion The Shuanglu Tongnao formula may inhibit neuronal ferroptosis in ischemic stroke rats by activating the SIRT1/Nrf2/GPx4 signa-ling pathway.

Objective To analyze the influencing factors for intestinal colonization and secondary infection of car-bapenem-resistant Klebsiella pneumoniae(CRKP)in neonates,and provide a basis for formulating prevention and control strategies for CRKP infection.Methods Neonates who were admitted to the neonatal ward of a hospital from January 2021 to October 2022 were selected as the study subjects,and the first screening of CRKP was con-ducted within 48 hours after admission.In addition,active anal swab screening for carbapenem-resistant Ente-robacterales(CRE)was performed weekly during hospitalization,and the infection status of CRKP strains was mo-nitored.Clinical data of neonates in the colonization group,non-colonization group,and infection group were ana-lyzed.Intestinal colonized strains and the non-repetitive CRKP strains isolated from clinical specimens of neonates with secondary infection after colonization were performed carbapenemase gene detection,multilocus sequence ty-ping(MLST)and pulsed-field gel electrophoresis(PFGE)analysis.Results A total of 1 438 neonates were active-ly screened for CRE,174 were CRKP positive,CRKP colonization rate was 12.1％.Among 174 neonates,35 were with secondary infection,with the incidence of 20.1％.The independent risk factors for neonatal CRKP intestinal colonization were cesarean section(OR=2.050,95％CI:1.200-3.504,P=0.009),use of cephalosporins(OR=1.889,95％CI:1.086-3.288,P=0.024),nasogastric tube feeding(OR=2.317,95％CI:1.155-4.647,P=0.018).Protective factors were breast-feeding(OR=0.506,95％CI:0.284-0.901,P=0.021),oral probiotics(OR=0.307,95％CI:0.147-0.643,P=0.002),and enema(OR=0.334,95％CI:0.171-0.656,P=0.001).Independent risk factors for secondary infection after intestinal colonization of neonatal CRKP were carbapenem anti-biotic use(OR=19.869,95％CI:1.778-222.029,P=0.015)and prolonged hospital stay(OR=1.118,95％CI:1.082-1.157,P＜0.001).The detection results of drug resistance genes showed that carbapenemase-producing genes of CRKP strains were all blaKPC-2,all belonged to type ST11.Homologous analysis showed that intestinal CRKP colonization was highly homologous with the secondary infection strains after colonization.Conclusion CRKP intestinal colonization during neonatal hospitalization may increase the risk of CRKP infection.Risk and pro-tective factors of neonatal intestinal colonization and secondary infections after colonization should be paid attention,and corresponding preventive and control measures should be taken,so as to reduce the occurrence and transmission CRKP healthcare-associated infection.

AIM To investigate the effects of Zhuangyao Shuanglu Tongnao Formula on neuronal apoptosis in rats with cerebral ischemia-reperfusion injury based on the study of oxidative stress and inflammatory response.METHODS The rats were randomly divided into the sham operation group,the model group,the edaravone group(3.0 mg/kg),the low,medium and high dose groups(9.0,18.0,36.0 g/kg)of Zhuangyao Shuanglu Tongnao Formula,with 18 rats in each group.The middle cerebral artery occlusion/reperfusion was conducted by thread embolism method to simulate cerebral ischemia reperfusion injury in rats followed by 6 days corresponding drugs administration.Subsequently,the rats had their neurological function deficit scored by Zeal Longa scoring method;their sizes of cerebral infarction areas measured by TTC staining;their pathological damage and apoptosis of neurons in hippocampal CA1 area of ischemic penumbra of the brain tissue detected by HE staining and TUNEL staining;their SOD activity and levels of GSH,MDA,IL-6,IL-1β,TNF-α in brain tissue detected by kits;and their protein expressions of Bax,Bcl-2,caspase-3,cleaved-capase-3,TLR4,NF-κB p65,Nrf2,HO-1 in rat brain tissue determined by Western blot.RESULTS Compared with the model group,the groups intervened with edaravone,medium and high dose of Zhuangyao Shuanglu Tongnao Formula displayed improvements in the scores of nerve function defects,the rate of cerebral infarction,the rate of neuronal apoptosis,the levels of IL-6,IL-1β,TNF-α and MDA in the ischemic penumbra of brain tissues,the protein expressions of Bax and TLR4,the ratio of cleaved-capase-3/caspase-3 and p-NF-κB p65/NF-κB p65(P＜0.05),the levels of GSH,the activity of SOD and the protein expressions of Bcl-2,Nrf2 and HO-1(P＜0.05).CONCLUSION Being an inhibitor of oxidative stress and inflammatory response,Zhuangyao Shuanglu Tongnao Formula can alleviate brain injury in rats with cerebral ischemia reperfusion injury through the inhibition of neuronal apoptosis and improvement of neural function mediated by the inhibition of TLR4/NF-κB signal pathway and activation of Nrf2/HO-1 signal pathway.

Small-molecule phenolic substances widely exist in animals and plants, and have some shared biological activities. The metabolism of phenylalanine and tyrosine in the human body, and especially the metabolism of catecholamine neurotransmitters, produces endogenous small-molecule phenols. Endogenous small-molecule phenolic substances are functionally related to the important physiological processes and the occurrence of mental diseases in humans and some animals, which are systematically sorts and summarized in this review. Integrating the previous experimental research and literature analysis on natural small-molecule phenols by our research group, the understanding of the hypothesis that "small-molecule phenol are pharmacological signal carriers" was deepened. Based on above, the concept of "phenolomics" was further proposed, analyzed the research direction and research content which can bring into the knowledge framework of phenolomics. The induction of phenolomics will provide wider perspectives on explaining the pharmacological mechanism of drugs, discovering new drug targets, and finding biomarkers of mental diseases.

Background::Acute pulmonary embolism (APE) is a fatal cardiovascular disease, yet missed diagnosis and misdiagnosis often occur due to non-specific symptoms and signs. A simple, objective technique will help clinicians make a quick and precise diagnosis. In population studies, machine learning (ML) plays a critical role in characterizing cardiovascular risks, predicting outcomes, and identifying biomarkers. This work sought to develop an ML model for helping APE diagnosis and compare it against current clinical probability assessment models.Methods::This is a single-center retrospective study. Patients with suspected APE were continuously enrolled and randomly divided into two groups including training and testing sets. A total of 8 ML models, including random forest (RF), Na?ve Bayes, decision tree, K-nearest neighbors, logistic regression, multi-layer perceptron, support vector machine, and gradient boosting decision tree were developed based on the training set to diagnose APE. Thereafter, the model with the best diagnostic performance was selected and evaluated against the current clinical assessment strategies, including the Wells score, revised Geneva score, and Years algorithm. Eventually, the ML model was internally validated to assess the diagnostic performance using receiver operating characteristic (ROC) analysis.Results::The ML models were constructed using eight clinical features, including D-dimer, cardiac troponin T (cTNT), arterial oxygen saturation, heart rate, chest pain, lower limb pain, hemoptysis, and chronic heart failure. Among eight ML models, the RF model achieved the best performance with the highest area under the curve (AUC) (AUC = 0.774). Compared to the current clinical assessment strategies, the RF model outperformed the Wells score ( P = 0.030) and was not inferior to any other clinical probability assessment strategy. The AUC of the RF model for diagnosing APE onset in internal validation set was 0.726. Conclusions::Based on RF algorithm, a novel prediction model was finally constructed for APE diagnosis. When compared to the current clinical assessment strategies, the RF model achieved better diagnostic efficacy and accuracy. Therefore, the ML algorithm can be a useful tool in assisting with the diagnosis of APE.

Objective To provide a longitudinal evaluation tool based on the frequency of aggressive be-havior for the aggression assessment of schizophrenia patients.Methods The Life History of Aggression was translated and revised to form the Life History of Aggression-Chinese Version(LHA-CV)based on 369 patients diagnosed with schizophrenia in the Chengdu community and compulsory medical insti-tution.The reliability of LHA-CV was analyzed by means of split-half reliability,test-retest reliability and inter-evaluator consistency.The validity was analyzed by item analysis,construct validity and crite-rion validity.Results Item analysis found that LHA-CV had good homogeneity and discriminant validity.Exploratory factor analysis found that the Kaiser-Meyer-Olkin(KMO)test value was 0.80,and the Bartlett's sphericity test χ2=1203.46(P<0.05),and it revealed four factors including non-physical ag-gression,physical aggression,self-directed aggression and antisocial behavior/consequences.The factor loadings for all 11 items were greater than 0.40.Confirmatory factor analysis was performed on the factor model,Chi-square degree of freedom(χ2/df)was 3.61,root mean square error of approxima-tion(RMSEA)was 0.07,goodness-of-fit index(GFI)was 0.92,comparative fit index(CFI)was 0.90,incremental fit index(IFI)was 0.90,and the discriminant validity of each factor was good.The criterion validity test showed the total score of LHA-CV was positively correlated with the aggressive behavior level of MacArthur Community Violence Instrument,the total score of Buss-Perry Aggression Scale,and the score of Antisocial Personality Disorder Subscale of Personality Diagnostic Question-naire-4th Edition Plus(PDQ-4+_ASPD,P<0.05).The Cronbach's α coefficient of non-physical aggres-sion,physical aggression,self-directed aggression,antisocial behavior/consequences and LHA-CV total score were 0.82,0.73,0.74,0.56 and 0.79,respectively.The test-retest reliability,Spearman-Brown split-half reliability and intra-class correlation coefficient of LHA-CV total score were 0.82(P<0.05),0.66 and 0.99,respectively.Conclusion LHA-CV has good reliability and validity,and can be used as an evaluation tool for longitudinally assessing aggressive behavior in schizophrenia patients.

Objective To explore the mechanism of Zhuangxuan Yin in the treatment of children with H1N1 pneumonia through regulating gut microbiota mediated by p38 mitogen-activated protein kinase(p38-MAPK)pathway.Methods A BALB/c mouse model of H1N1 pneumonia was prepared using the H1N1 influenza virus allantoic solution for nasal drop.The model was randomly separated into 5 groups:model group,Zhuangxuan Yin low-,medium-and high-dose groups,and high-dose Zhuangxuan Yin(28.66 g·kg-1)+anisomycin(10 mg·kg-1)group.The control group was infused with sterile physiological saline of equal volume using the same method.After treatment with Zhuangxuan Yin and anisomycin,the lung index of mice in each group was measured,and HE staining was applied to detect the pathological morphology of lung and large intestine tissues.16SrRNA gene sequencing was applied to detect the structural difference of gut microbiota in mice of each group.Enzyme-linked immunosorbent assay(ELASA)was applied to measure the levels of tumor necrosis factor-α(TNF-α),interleukin(IL)-4,IL-6,and IL-1β in bronchoalveolar lavage fluid(BALF)and large intestine tissue of mice in each group.Western Blot was applied to detect the expression of p38-MAPK pathway-related proteins in lung and large intestine tissues of mice in each group.Results Compared with the control group,the lung and large intestine tissues of the model group mice showed obvious pathological damage,the lung index,pathological score of lung and large intestine,ACE index,Shannon index,abundance of class Clostridia,the levels of TNF-α,IL-4,IL-6,and IL-1β in BALF and large intestine tissues,and p-p38-MAPK/p38-MAPK in lung and large intestine tissues increased(P＜0.05).The abundance of class Bacteroidales decreased(P＜0.05).Compared with the model group,the pathological damage in the lung and large intestine tissues of mice in the Zhuangxuan Yin low-,medium-and high-dose groups were reduced.The lung index,pathological score of lung and large intestine,ACE index,Shannon index,abundance of class Clostridia,the levels of TNF-α,IL-4,IL-6,and IL-1β in BALF and large intestine tissues,and p-p38-MAPK/p38-MAPK in lung and large intestine tissues decreased(P＜0.05),the abundance of class Bacteroidales increased(P＜0.05),and in a dose-dependent manner(P＜0.05).Compared with the high-dose Zhuangxuan Yin group,the pathological damage in the lung and large intestine tissues of mice in the high-dose Zhuangxuan Yin+anisomycin group was aggravated,the lung index,pathological score of lung and large intestine,ACE index,Shannon index,abundance of class Clostridia,the levels of TNF-α,IL-4,IL-6,and IL-1β in BALF and large intestine tissues,and p-p38-MAPK/p38-MAPK in lung and large intestine tissues increased(P＜0.05),and the abundance of class Bacteroidales decreased(P＜0.05).Conclusion Zhuangxuan Yin can improve the imbalance of intestinal microbiota in H1N1 pneumonia mice by inhibiting p38-MAPK signal activation,thereby inhibiting inflammation and reducing lung and large intestine tissue damage in mice,which may have a therapeutic effect on children with H1N1 pneumonia.

Background: Immune profiling has become an important tool for identifying predictive, prognostic and response biomarkers for immune checkpoint inhibitors from tumor microenvironment (TME). We aimed to build a multiplex immunofluorescence (mIF) panel to apply to formalin-fixed and paraffin-embedded tissues in mice tumors and to explore the programmed cell death protein 1/ programmed cell death 1 ligand 1 (PD-1/PD-L1) axis. Results: An automated eight-color mIF panel was evaluated to study the TME using seven antibodies, including cytokeratin 19, CD3e, CD8a, CD4, PD-1, PD-L1, F4-80 and DAPI, then was applied in six mice lung adenocarcinoma samples. Cell phenotypes were quantified by software to explore the co-localization and spatial distribution between immune cells within the TME. This mice panel was successfully optimized and applied to a small cohort of mice lung adenocarcinoma cases. Image analysis showed a sparse degree of immune cell expression pattern in this cohort.From the spatial analysis we found that T cells and macrophages expressing PD-L1 were close to the malignant cells and other immune cells. Conclusions Comprehensive immune profiling using mIF in translational studies improves our ability to correlate the PD-1/PD-L1 axis and spatial distribution of lymphocytes and macrophages in mouse lung cancer cells to provide new cues for immunotherapy, that can be translated to human tumors for cancer intervention.