Objective:To evaluate the role of docosahexaenoic acid (DHA) in long-term cognitive impairment after multiple sevoflurane anesthesia in newborn mice.Methods:Clean-grade healthy male C57BL/6 mice, aged 6 days, were used in this study. Ten mice were divided into 2 groups ( n=5 each) by the random number table method: control group (group C) and sevoflurane group (group S). The animals inhaled 3% sevoflurane for 2 h at 6, 7 and 8 days after birth. The DHA content was detected by ultra-high performance liquid chromatography-mass spectrometry at 9 days of age. Fifty-two mice were selected and divided into 4 groups ( n=13 each) by a random number table method: control+ normal saline group (group C+ S), sevoflurane anesthesia + normal saline group (group S+ S), control+ DHA group (group C+ D), and sevoflurane anesthesia+ DHA group (group S+ D). The sevoflurane anesthesia method was the same as the one mentioned above. DHA 50 mg/kg was administered by intragastric gavage from postnatal days 6-19 (at 6, 7 and 8 days after birth, 2 h before anesthesia) in C+ D and S+ D groups. The equal volume of normal saline was given instead in C+ S group and S+ S group. The novel object recognition test was conducted at 37 days of age, and the Morris water maze test was performed at 42 days of age. The corpus callosum and hippocampal tissues were isolated at 47 days of age for examination of the ultrastructure of myelin (with a transmission electron microscope) and for determination of the expression of myelin basic protein (MBP) in hippocampal tissues (by Western blot). The G-ratio was calculated. Results:Compared with group C, the content of DHA in hippocampal tissues was significantly decreased in group S ( P<0.05). Compared with group C+ S, the discrimination index was significantly decreased, the percentage of duration of staying at the target platform quadrant and the number of crossing the original platform were decreased, the expression of MBP was down-regulated, and the G-ratio in the original platform and hippocampus was increased in S+ S group ( P<0.05). Compared with group S+ S, the discrimination index was significantly increased, the percentage of duration of staying at the target platform quadrant and the number of crossing the original platform were increased, the expression of MBP was up-regulated, and the G-ratio in the original platform and hippocampus was decreased in S+ D group ( P<0.05). Conclusions:The mechanism of long-term cognitive impairment following multiple sevoflurane anesthesia may be related to a decrease in the content of DHA, which subsequently leads to myelin structural damage in neonatal mice.

Objective:To evaluate the relationship between preoperative gut microbiota and post-operative ventilator-associated pneumonia (VAP) in patients undergoing coronary artery bypass grafting.Methods:This was a secondary analysis of a previous research project study. Patients who received invasive mechanical ventilation treatment after elective off-pump coronary artery bypass grafting at the Second Hospital of Hebei Medical University from April to September 2023 were selected and divided into VAP group and non-VAP group based on whether VAP occurred after surgery. Fecal samples were collected from patients before surgery, and 16S rRNA gene sequencing was used to analyze the characteristics of preoperative gut microbiota in the two groups. The differences in the diversity of gut microbiota between the two groups were compared. The linear discriminant analysis was used to identify the gut microbiota with significant differences between groups (differential bacteria), and logistic regression analysis was conducted to assess the association between differential bacteria and VAP. Receiver operating characteristic curves were drawn to analyze the predictive value of the differential bacteria for VAP.Results:A total of 79 patients were finally included, with 25 in VAP group and 54 in non-VAP group. The Beta diversity analysis showed statistically significant differences between VAP group and non-VAP group (pseudo- F=2.00, P=0.002). The linear discriminant analysis indicated that Bifidobacterium, Blautia and Megamonas were enriched in non-VAP group, while Klebsiella was enriched in VAP group. Multivariate logistic regression analysis showed that the relative abundance of Bifidobacterium was a protective factor for postoperative VAP ( OR=0.32, 95% confidence interval [ CI] 0.15-0.71, P=0.005), and the relative abundance of Klebsiella was a risk factor for postoperative VAP ( OR=2.49, 95% CI 1.143-5.43, P=0.022). The area under the receiver operating characteristic curve of the relative abundance of Bifidobacterium for predicting VAP was 0.80 (95% CI 0.69-0.90, P<0.001) and of the relative abundance of Klebsiella was 0.70 (95% CI 0.57-0.83, P=0.005). Conclusions:Bifidobacterium is a protective factor, while Klebsiella is a risk factor for postoperative VAP in patients undergoing coronary artery bypass grafting, and the relative abundance of both bacteria has a certain predictive value for VAP.

Objective To achieve a preliminary understanding of the current situation of clinical laboratories in Guangdong Province,and discuss how to establish a sound investigation system,and utilize quality indicators to improve laboratory quality through the inves-tigation and analysis of data from 16 clinical laboratory quality indicators issued by the National Center for Clinical Laboratories.Meth-ods The questionnaire was issued by Clinet-EQA system and the basic information and quality indicator information during 2023 were collected.SPSS 20.0 software was used for statistical analysis according to different specialty categories and hospital grades.The 13 quality indicators measured in rate-based units were evaluated by sigma measurement.The P75,P50 and P25 percentiles of the overall distribution of each quality index were used to explore the optimal,appropriate and minimum quality specifications.Results A total of 577 laboratories participated in this survey.In addition to the implementation rate of internal quality assessment and the inter-laboratory comparison rate,the median sigma(σ)value of 11/13 quality indicators was greater than 3σ,and some of them even reach the level of 6σ,and there were disparities between hospital laboratories at different grades.The turnaround time(TAT)of the whole process of emergency examination was significantly less than those of inpatient and outpatient,TAT before emergency examination was controlled within 20 min,TAT before outpatient examination was within 30 min,and TAT before inpatient examination was within 42 min.The optimal quality specifications of 8 out of 13 indicators reached 6σ level,while the minimum quality specifications of 2 out of 13 indica-tors were lower than 3σ level.Conclusion In Guangdong Province,the overall level of quality indicators in the post-analytical of clin-ical laboratories was superior to that in the pre-analytical and analytical process.It should be essential to continuously monitor quality indicators and actively adopt improvement measures for those laboratories with unsatisfactory results,so as to enhance the examination quality of laboratories.

Objective To explore the T/NK cell-related differentially expressed genes(T/NK-DEGs)related to the prognosis of liver cancer based on the single-cell RNA-seq data,gene expression data and clinical information in the GEO and TCGA databases,and construct the prognostic model of liver cancer.Methods The single-cell RNA-seq data and gene expression matrices of liver cancer were obtained from the GEO database.The TCGA-LIHC cohorts,including mRNA expression data,clinical information,survival infor-mation,and somatic mutation data,were obtained from the TCGA database.Based on the two databases,the prognostic model of liver cancer patients was constructed by the bioinformatics method,and the performance of the model was predicted.Results Two T/NK-DEGs,PTTG1 and UBE2C,were identified to be associated with the prognosis of liver cancer and a prognostic model of liver cancer was constructed based on them.According to the risk score,the patients were divided into the high-risk score group and low-risk score group,in which the patients with high-risk score had a worse prognosis than those with low-risk score.The areas under the receiv-er operating characteristics(ROC)curve(AUCROC)of the prognostic model at 1-year,3-year and 5-year time points were 0.685,0.647 and 0.594,respectively.The higher risk score was correlated with the advanced pathological stage(Ⅰstage,Ⅱstage,andⅢstage)and T-stage(T1,T2,and T3)(P＜0.05).The prognostic model was able to predict the proportion of tumor infiltrating immune cells,and the sensitivity of immunotherapy and chemotherapy drugs in patients with liver cancer.Conclusion The constructed prog-nostic model in this study has an important role in the prediction of individualized survival and clinical treatment response of patients with liver cancer.

Objective:To evaluate the role of docosahexaenoic acid (DHA) in long-term cognitive impairment after multiple sevoflurane anesthesia in newborn mice.Methods:Clean-grade healthy male C57BL/6 mice, aged 6 days, were used in this study. Ten mice were divided into 2 groups ( n=5 each) by the random number table method: control group (group C) and sevoflurane group (group S). The animals inhaled 3% sevoflurane for 2 h at 6, 7 and 8 days after birth. The DHA content was detected by ultra-high performance liquid chromatography-mass spectrometry at 9 days of age. Fifty-two mice were selected and divided into 4 groups ( n=13 each) by a random number table method: control+ normal saline group (group C+ S), sevoflurane anesthesia + normal saline group (group S+ S), control+ DHA group (group C+ D), and sevoflurane anesthesia+ DHA group (group S+ D). The sevoflurane anesthesia method was the same as the one mentioned above. DHA 50 mg/kg was administered by intragastric gavage from postnatal days 6-19 (at 6, 7 and 8 days after birth, 2 h before anesthesia) in C+ D and S+ D groups. The equal volume of normal saline was given instead in C+ S group and S+ S group. The novel object recognition test was conducted at 37 days of age, and the Morris water maze test was performed at 42 days of age. The corpus callosum and hippocampal tissues were isolated at 47 days of age for examination of the ultrastructure of myelin (with a transmission electron microscope) and for determination of the expression of myelin basic protein (MBP) in hippocampal tissues (by Western blot). The G-ratio was calculated. Results:Compared with group C, the content of DHA in hippocampal tissues was significantly decreased in group S ( P<0.05). Compared with group C+ S, the discrimination index was significantly decreased, the percentage of duration of staying at the target platform quadrant and the number of crossing the original platform were decreased, the expression of MBP was down-regulated, and the G-ratio in the original platform and hippocampus was increased in S+ S group ( P<0.05). Compared with group S+ S, the discrimination index was significantly increased, the percentage of duration of staying at the target platform quadrant and the number of crossing the original platform were increased, the expression of MBP was up-regulated, and the G-ratio in the original platform and hippocampus was decreased in S+ D group ( P<0.05). Conclusions:The mechanism of long-term cognitive impairment following multiple sevoflurane anesthesia may be related to a decrease in the content of DHA, which subsequently leads to myelin structural damage in neonatal mice.

Objective:To evaluate the relationship between preoperative gut microbiota and post-operative ventilator-associated pneumonia (VAP) in patients undergoing coronary artery bypass grafting.Methods:This was a secondary analysis of a previous research project study. Patients who received invasive mechanical ventilation treatment after elective off-pump coronary artery bypass grafting at the Second Hospital of Hebei Medical University from April to September 2023 were selected and divided into VAP group and non-VAP group based on whether VAP occurred after surgery. Fecal samples were collected from patients before surgery, and 16S rRNA gene sequencing was used to analyze the characteristics of preoperative gut microbiota in the two groups. The differences in the diversity of gut microbiota between the two groups were compared. The linear discriminant analysis was used to identify the gut microbiota with significant differences between groups (differential bacteria), and logistic regression analysis was conducted to assess the association between differential bacteria and VAP. Receiver operating characteristic curves were drawn to analyze the predictive value of the differential bacteria for VAP.Results:A total of 79 patients were finally included, with 25 in VAP group and 54 in non-VAP group. The Beta diversity analysis showed statistically significant differences between VAP group and non-VAP group (pseudo- F=2.00, P=0.002). The linear discriminant analysis indicated that Bifidobacterium, Blautia and Megamonas were enriched in non-VAP group, while Klebsiella was enriched in VAP group. Multivariate logistic regression analysis showed that the relative abundance of Bifidobacterium was a protective factor for postoperative VAP ( OR=0.32, 95% confidence interval [ CI] 0.15-0.71, P=0.005), and the relative abundance of Klebsiella was a risk factor for postoperative VAP ( OR=2.49, 95% CI 1.143-5.43, P=0.022). The area under the receiver operating characteristic curve of the relative abundance of Bifidobacterium for predicting VAP was 0.80 (95% CI 0.69-0.90, P<0.001) and of the relative abundance of Klebsiella was 0.70 (95% CI 0.57-0.83, P=0.005). Conclusions:Bifidobacterium is a protective factor, while Klebsiella is a risk factor for postoperative VAP in patients undergoing coronary artery bypass grafting, and the relative abundance of both bacteria has a certain predictive value for VAP.

Objective To achieve a preliminary understanding of the current situation of clinical laboratories in Guangdong Province,and discuss how to establish a sound investigation system,and utilize quality indicators to improve laboratory quality through the inves-tigation and analysis of data from 16 clinical laboratory quality indicators issued by the National Center for Clinical Laboratories.Meth-ods The questionnaire was issued by Clinet-EQA system and the basic information and quality indicator information during 2023 were collected.SPSS 20.0 software was used for statistical analysis according to different specialty categories and hospital grades.The 13 quality indicators measured in rate-based units were evaluated by sigma measurement.The P75,P50 and P25 percentiles of the overall distribution of each quality index were used to explore the optimal,appropriate and minimum quality specifications.Results A total of 577 laboratories participated in this survey.In addition to the implementation rate of internal quality assessment and the inter-laboratory comparison rate,the median sigma(σ)value of 11/13 quality indicators was greater than 3σ,and some of them even reach the level of 6σ,and there were disparities between hospital laboratories at different grades.The turnaround time(TAT)of the whole process of emergency examination was significantly less than those of inpatient and outpatient,TAT before emergency examination was controlled within 20 min,TAT before outpatient examination was within 30 min,and TAT before inpatient examination was within 42 min.The optimal quality specifications of 8 out of 13 indicators reached 6σ level,while the minimum quality specifications of 2 out of 13 indica-tors were lower than 3σ level.Conclusion In Guangdong Province,the overall level of quality indicators in the post-analytical of clin-ical laboratories was superior to that in the pre-analytical and analytical process.It should be essential to continuously monitor quality indicators and actively adopt improvement measures for those laboratories with unsatisfactory results,so as to enhance the examination quality of laboratories.

Objective To explore the T/NK cell-related differentially expressed genes(T/NK-DEGs)related to the prognosis of liver cancer based on the single-cell RNA-seq data,gene expression data and clinical information in the GEO and TCGA databases,and construct the prognostic model of liver cancer.Methods The single-cell RNA-seq data and gene expression matrices of liver cancer were obtained from the GEO database.The TCGA-LIHC cohorts,including mRNA expression data,clinical information,survival infor-mation,and somatic mutation data,were obtained from the TCGA database.Based on the two databases,the prognostic model of liver cancer patients was constructed by the bioinformatics method,and the performance of the model was predicted.Results Two T/NK-DEGs,PTTG1 and UBE2C,were identified to be associated with the prognosis of liver cancer and a prognostic model of liver cancer was constructed based on them.According to the risk score,the patients were divided into the high-risk score group and low-risk score group,in which the patients with high-risk score had a worse prognosis than those with low-risk score.The areas under the receiv-er operating characteristics(ROC)curve(AUCROC)of the prognostic model at 1-year,3-year and 5-year time points were 0.685,0.647 and 0.594,respectively.The higher risk score was correlated with the advanced pathological stage(Ⅰstage,Ⅱstage,andⅢstage)and T-stage(T1,T2,and T3)(P＜0.05).The prognostic model was able to predict the proportion of tumor infiltrating immune cells,and the sensitivity of immunotherapy and chemotherapy drugs in patients with liver cancer.Conclusion The constructed prog-nostic model in this study has an important role in the prediction of individualized survival and clinical treatment response of patients with liver cancer.

ObjectiveTo investigate the mechanism of Atractylodis Macrocephalae Rhizoma（AMR） in the treatment of slow-transmission constipation（STC） by observing the effects of AMR on short-chain fatty acids and intestinal barries in STC mice. MethodForty-eight male KM mice were randomly divided into blank group， model group， AMR low-， medium-， high-dose groups（2.5， 5， 10 g·kg^-1） and mosapride group（2.5 mg·kg^-1）. Except for the blank group， all groups were gavaged with loperamide suspension（5 mg·kg^-1） twice daily for 14 d to construct the STC mouse model. At the same time， each drug administration group was given the corresponding drug by gavage for consecutive 14 d， the blank and model groups were gavaged with equal volume of distilled water. The effects of the treatment of AMR on body mass， defecation frequency， fecal water content and intestinal propulsion rate of mice were observed， the pathological changes of mouse colon were observed by hematoxylin-eosin（HE） staining and periodic acid-Schiff（PAS） staining， the levels of gastrin（GAS） and motilin（MTL） in serum were detected by enzyme-linked immunosorbent assay（ELISA）， gas chromatography-mass spectrometry（GC-MS） was used to detect the contents of short-chain fatty acids（SCFAs） in mouse feces， real-time fluorescence quantitative polymerase chain reaction（Real-time PCR） and Western blot were used to determine the mRNA and protein expression levels of zonula occludens-1（ZO-1）， Occludin， and Claudin-1 in the colon of mice. ResultCompared with the blank group， the body mass， defecation frequency， fecal water content and intestinal propulsion rate of mice in the model group were significantly decreased（P<0.05， P<0.01）， the arrangement of colonic tissues was disordered， and the number of goblet cells was reduced， the levels of GAS and MTL in serum were significantly decreased（P<0.01）， and the levels of SCFAs in the feces were on a decreasing trend， with the contents of acetic acid， propionic acid， butyric acid， isobutyric acid and valeric acid were significantly decreased（P<0.05， P<0.01）， the mRNA and protein expression levels of ZO-1， Occludin and Claudin-1 in the colonic tissues were significantly decreased（P<0.01）. The above results suggested that STC mouse model was successfully constructed. Compared with the model group， the body mass， defecation frequency， fecal water content and intestinal propulsion rate of mice in AMP administration groups all increased significantly（P<0.05， P<0.01）， the mucosal layer of the colonic tissues was structurally intact without obvious damage， and the number of goblet cells increased， serum levels of GAS and MTL were significantly increased（P<0.01）， the contents of SCFAs in the feces were all on a rising trend， with the contents of acetic， propionic， butyric and isobutyric acids rising significantly（P<0.05， P<0.01）， the mRNA and protein expression levels of ZO-1， Occludin and Claudin-1 in the colonic tissues were significantly increased（P<0.05， P<0.01）. ConclusionAMR is able to improve the constipation symptoms in STC mice， and its mechanism may be related to increasing the contents of SCFAs in the intestine as well as promoting the mRNA and protein expression levels of ZO-1， Occludin and Claudin-1 in the colon.

Background and Purpose:The early prediction of local tumor progression-free survival(LTPFS)after radiofrequency ablation(RFA)for colorectal cancer(CRC)lung metastases has significant clinical importance.The application of radiomics in the prediction of tumor prognosis has been explored.This study aimed to construct a radiomics-based nomogram for predicting LTPFS after RFA in CRC patients with lung metastases.Methods:This study retrospectively analyzed 172 CRC patients with 401 lung metastases admitted to Department of Interventional Radiology,Fudan University Shanghai Cancer Center from August 2016 to January 2019.This study was reviewed by the medical ethics committee of Fudan University Shanghai Cancer Center(ethics number:2402291-24).After augmentation of pre-ablation and immediate post-ablation computed tomography(CT)images,the target metastases and ablation regions were segmented manually to extract the radiomic features.Maximum relevance and minimum redundancy algorithm(MRMRA)and least absolute shrinkage and selection operator(LASSO)regression models were applied for feature selection.The clinical model,the radiomics model,and the fusion model were constructed based on the selected radiomic features and clinical variables screened by the multivariate analysis.The Harrell concordance index(C-index)and area under receiver operating characteristic(ROC)curves(AUC)were calculated to evaluate the prediction performance.Finally,the corresponding nomogram of the best model was drawn.Results:Among all the lung metastases,102(25.4%)had final recurrence,and 299(74.6%)had complete response(CR).The median follow-up time was 21 months(95%CI:19.466-22.534),and the LTPFS rates at 1,2,and 3 years after RFA were 76.5%(95%CI:72.0-80.4),72.1%(95%CI:66.6-76.9)and 69.9%(95%CI:64.0-75.1).In both the training and test dataset,the fusion model based on the final 12 radiomic features through the LASSO regression and 4 clinical variables screened by multivariate analysis achieved the highest AUC values for LTPFS,with C-index values of 0.890(95%CI:0.854-0.927)and 0.843(95%CI:0.768-0.916),respectively.Conclusion:The fusion model based on radiomic features and clinical variables is feasible for predicting LTPFS after RFA of CRC patients with lung metastases,whose performance is superior to the single radiomic and clinical model.At the same time,the nomogram of the fusion model can intuitively predict the prognosis of CRC patients with lung metastases after RFA,thus assisting clinicians in developing individualized follow-up review plans for patients and adjusting treatment strategies flexibly.