ObjectivePrimary liver cancer, predominantly hepatocellular carcinoma (HCC), is a significant global health issue, ranking as the sixth most diagnosed cancer and the third leading cause of cancer-related mortality. Accurate and early diagnosis of HCC is crucial for effective treatment, as HCC and non-HCC malignancies like intrahepatic cholangiocarcinoma (ICC) exhibit different prognoses and treatment responses. Traditional diagnostic methods, including liver biopsy and contrast-enhanced ultrasound (CEUS), face limitations in applicability and objectivity. The primary objective of this study was to develop an advanced, light-weighted classification network capable of distinguishing HCC from other non-HCC malignancies by leveraging the automatic analysis of brightness changes in CEUS images. The ultimate goal was to create a user-friendly and cost-efficient computer-aided diagnostic tool that could assist radiologists in making more accurate and efficient clinical decisions. MethodsThis retrospective study encompassed a total of 161 patients, comprising 131 diagnosed with HCC and 30 with non-HCC malignancies. To achieve accurate tumor detection, the YOLOX network was employed to identify the region of interest (ROI) on both B-mode ultrasound and CEUS images. A custom-developed algorithm was then utilized to extract brightness change curves from the tumor and adjacent liver parenchyma regions within the CEUS images. These curves provided critical data for the subsequent analysis and classification process. To analyze the extracted brightness change curves and classify the malignancies, we developed and compared several models. These included one-dimensional convolutional neural networks (1D-ResNet, 1D-ConvNeXt, and 1D-CNN), as well as traditional machine-learning methods such as support vector machine (SVM), ensemble learning (EL), k-nearest neighbor (KNN), and decision tree (DT). The diagnostic performance of each method in distinguishing HCC from non-HCC malignancies was rigorously evaluated using four key metrics: area under the receiver operating characteristic (AUC), accuracy (ACC), sensitivity (SE), and specificity (SP). ResultsThe evaluation of the machine-learning methods revealed AUC values of 0.70 for SVM, 0.56 for ensemble learning, 0.63 for KNN, and 0.72 for the decision tree. These results indicated moderate to fair performance in classifying the malignancies based on the brightness change curves. In contrast, the deep learning models demonstrated significantly higher AUCs, with 1D-ResNet achieving an AUC of 0.72, 1D-ConvNeXt reaching 0.82, and 1D-CNN obtaining the highest AUC of 0.84. Moreover, under the five-fold cross-validation scheme, the 1D-CNN model outperformed other models in both accuracy and specificity. Specifically, it achieved accuracy improvements of 3.8% to 10.0% and specificity enhancements of 6.6% to 43.3% over competing approaches. The superior performance of the 1D-CNN model highlighted its potential as a powerful tool for accurate classification. ConclusionThe 1D-CNN model proved to be the most effective in differentiating HCC from non-HCC malignancies, surpassing both traditional machine-learning methods and other deep learning models. This study successfully developed a user-friendly and cost-efficient computer-aided diagnostic solution that would significantly enhances radiologists’ diagnostic capabilities. By improving the accuracy and efficiency of clinical decision-making, this tool has the potential to positively impact patient care and outcomes. Future work may focus on further refining the model and exploring its integration with multimodal ultrasound data to maximize its accuracy and applicability.

α7 nicotinic acetylcholine receptor(α7nAChR)is widely expressed in the central nervous system and immune system,and plays a neuro-immunoregulatory role.On the one hand,α7nAChR is involved in the transmission of neurotransmitters,the conduction of excitatory signals and the maintenance of synaptic plasticity,which is of great significance for maintaining the normal and stable neurocognitive function.On the other hand,as an important part of the cholinergic anti-inflammatory pathway,α7nAChR is involved in the regulation of physiological and pathological processes such as inflammatory response,oxidative stress,apoptosis and autophagy in the central system,and plays an immunomodulatory and neuroprotective role,thus being potential target for improving perioperative neurocognitive function.This article reviews the biological characteristics of α7nAChR and its effect on perioperative neurocognitive function,in order to provide ideas and methods for clinical improvement of perioperative neurocognitive function in surgical patients.

Objective:To assess the applicability of fully automatic pipeline automated testing for internal quality control (automated quality control).Methods:Stability, assay efficiency and implementation costs of 18 biochemical tests, 5 immunoturbidimetric tests and 11 chemical illuminescent tests in the Department of Laboratory Medicine of Peking Union Hospital from January 2019 to July 2022 were evaluated using automated quality control implementation methods. The detailed method is as follows: quality control materials for biochemical, immunoturbidimetric and chemiluminescent tests were stored in the refrigerator in the pipeline which was controlled by the intermediate software, and were automatically retrieved and tested as pre-set followed by documenting and storing. The quality control setup for the biochemical tests included refreshing quality control materials daily and weekly,both of which were paralleled for 3 months. The on-line storage stability of quality control materials in the pipeline was evaluated by comparing the coefficients of variation ( CV) of the quality control results between the two patterns. Effect of automated quality control application was evaluated using 6 indicators, including the results′ variation of automatically performed and manually performed quality controls, the out-of-controlled rate, the consumption of quality control materials, the change of staff workload, the impact on the testing time of the first sample, and the failure rate of automated quality control. Results:(1) Storage stability of quality control materials in the pipeline: under the pattern of weekly refresh of the biochemical quality control materials, except for total carbon dioxide (TCO 2) (the CVs of low and high level quality control were respectively 20.24% and 21.82%) and sodium (the CV of low level quality control was 1.51%) that were greater than the allowable variation set by the laboratory, the CVs of the rest tests meet the lab requirements on the allowable variations. (2) The results′ variation of quality control in automatically performed and manually performed control patterns: in the patterns of daily refresh of biochemical quality control materials and weekly refresh of immunoturbidimetric and chemiluminescent quality control materials, the CVs of both low and high levels of quality control were lower in the automatically performed control pattern than that in manually performed pattern for 8 chemiluminescent items of dehydroepiandrosterone sulfate, estradiol, follicle stimulating hormone, luteinizing hormone, serum ferritin, serum folic acid, vitamin B12 and testosterone, 3 immunologic items of complement 3, C reactive protein and immunoglobulin G, and 10 biochemical items of alkaline phosphatase, glucose, calcium, chloride, potassium, lactate dehydrogenase, sodium, urea, low density lipoprotein cholesterol, and adenosine deaminase. The out-of-control rates of biochemistry, immunoturbidimetric and chemiluminescence tests in both quality control patterns conformed with the clinical routine work requirements. (3) Comparison of quality control materials′ consumption: compared with manually performed quality control, weekly consumption of automatically performed chemiluminescent quality control materials decreased 37.5% (from 8 ml to 5 ml); weekly consumption of automatically performed immunoturbidimetric quality control materials decreased 33.3% (from 3 ml to 2 ml). (4)Comparison of staff workload and first sample testing time: compared with manually performed quality control, automatical quality control reduced manual work by about 156 steps per week, and the daily initial testing time was earlier by 15 min on average. The failure rate was 54.5% (37/64) during the early-stage application of the automated quality control which dropped to 10.2% (13/128) in the late-stage. Conclusion:The results of automated quality control detected in the pipeline system meet the quality indicators′ requirements of the laboratory, and the application of automated quality control can improve the quality control, save costs, reduce workload, and improve work efficiency.

Objective Based on meteorological factors, the prediction of the risk of cardiovascular and cerebrovascular diseases(CVD) and the analysis of its correlation with the incidence rate. Methods The research utilizes six years of data on CVD incidence from Xingyi, from 2017 to 2022, as the subject of study. The incidence risk levels are categorized based on the 25%, 50%, 75%, and 95% quantiles of the cumulative probability of the number of cases. The study is conducted based on the relationship between meteorological factors and the risk of incidence of CVD. Results The incidence of CVD shows a significant correlation with temperature, vapor pressure, atmospheric pressure, and relative humidity. It is negatively correlated with temperature and vapor pressure, among which the correlation with the daily minimum temperature is the highest at -0.504 (P < 0.05), and positively correlated with atmospheric pressure and relative humidity. Meteorological factors that have a significant correlation with the incidence rate are selected as input factors for the machine prediction model. It was found that the random forest model performs best in predicting the risk of incidence of CVD, with a comprehensive score of 0.851. Analysis of Relative Risk (RR) values found that there is a lagged association between exposure levels to meteorological factors and the incidence of cardiovascular and cerebrovascular diseases. A temperature drop of more than 11°C and an increase in atmospheric pressure of more than 8 hPa can significantly increase the risk of incidence. Conclusion The study revealed significant correlations between the incidence of CVD and meteorological parameters including temperature, water vapor pressure, atmospheric pressure, and relative humidity. Utilizing machine learning models, the research effectively predicted the risk of these diseases, uncovering that extreme weather conditions significantly elevate the risk of incidence. These findings provide a basis for meteorological risk assessment in public health interventions, emphasizing the importance of taking preventative measures in the context of extreme climate changes.

Based on the natures and flavors of herbal medicinals recorded in Shen Nong's Classic of the Materia Medica （《神农本草经》）； Miscellaneous Records of Famous Physicians （《名医别录》）， this study analyzed the characte-ristics of the natures， flavors and combination of medicinals of the two-herb compound formulas in Treatise on Cold Damage and Miscellaneous Diseases （《伤寒杂病论》）.Finally， 31 compound formulas were included， and it was found that the nature and flavor of the herbs in these two-herb compound formulas are closely related to the functions of the compound formulas， such as the common pairing of the acrid and the sweet herbs to warm yang and transform qi， the acrid and the bitter herbs in pairs to regulate and harmonize cold and heat， the sweet and the bitter in pairs to remove dampness and clear heat， the acrid and the acrid in pairs to arrest vomiting and direct qi downward， and the sour and the sweet in pairs to slow the urgent and relieve pain. Regardless of the deficiency or excess nature of the disease， the corresponding two-herb compound formulas often aim to reinforce healthy qi while eliminating pathogenic factors， with some formulas showcasing a unique correspondence between the disease pattern and the symptoms addressed.

Objective:To evaluate the outcomes of autologous serum eye drops on persistent corneal epithelial defect caused by neurotrophic keratopathy (NK).Methods:An observational case series study was performed.Twenty patients (20 eyes) diagnosed with NK and persistent corneal epithelial defect were enrolled in Beijing Tongren Hospital from January 2020 to January 2021.The affected eyes were graded according to the severity of the lesion and received individualized comprehensive treatment with domestic autologous serum eye drops as the main therapy.The healing time of the corneal epithelial defect after treatment was recorded.The diameter and area of the defect were marked by corneal fluorescein staining.Changes in the diameter and area of the defect before treatment and at 1, 2, 3, 4 and 8 weeks after treatment were observed by slit lamp microscopy at 10×.Logarithm of the minimum angle of resolution (LogMAR) visual acuity was recorded with a standard logarithmic visual chart before treatment and at 1, 2, 4, 12, and 24 weeks after treatment.Changes in corneal nerve fiber distribution and silk length of corneal perception were assessed by confocal laser scanning microscopy and Cochet-Bonnet esthesiometry, respectively, before treatment and at 4, 12, and 24 weeks after treatment.Influences of corneal defect characteristics on the healing time were analyzed by multiple linear regression analysis.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Beijing Tongren Hospital Affiliated to Capital Medical University (No.TRECKY2021-110). Written informed consent was obtained from each subject.Results:The corneal epithelial defect was 5.00 (4.00, 5.75) mm in diameter and 15.50 (12.00, 20.00) mm 2 in area before treatment.There were 45% (9/20) with corneal stroma edema and 35% (7/20) with endothelial fold.One diabetic patient with uveitis had a corneal epithelial defect area greater than 8 mm×6 mm and accepted additional corneal clearance and amniotic membrane transplantation after 2 weeks of autologous serum eye drops application.The other 19 patients received autologous serum eye drops therapy.All eyes showed complete recovery.The pretreatment duration of autologous serum eye drops ranged from 2 weeks to 3 months, with a mean of (39.55±25.34) days.The repair time of corneal epithelium ranged from 12 to 42 days, with a mean of (19.68±9.25) days.There were statistically significant differences in corneal defect diameter and area between before and after treatment ( χ2=43.130, 28.265; both at P<0.001). Corneal defect area and diameter decreased at various time points after treatment compared to before treatment, and the differences were statistically significant (all at P<0.05). There were statistically significant differences in LogMAR visual acuity between before and after treatment ( χ2=84.229, P<0.001). LogMAR visual acuity improved at 1, 2, 4, 12, and 24 weeks after treatment compared to pretreatment, and the differences were statistically significant (all at P<0.05). There were statistically significant differences in silk length of corneal perception between before and after treatment ( χ2=55.295, P<0.001). Silk length of corneal perception improved at 4, 12 and 24 weeks compared to pretreatment, and the differences were statistically significant (all at P<0.05). Baseline corneal defect severity grade was positively correlated with healing time ( β=10.55, P=0.032). Corneal defect diameter and area had no influence on the healing time ( β=-2.02, P=0.501; β=0.49, P=0.199). Conclusions:Autologous serum eye drop therapy is safe and effective for persistent corneal defects caused by NK.Re-application of autologous serum eye drops is still effective in individual patients with recurrent corneal defects after discontinuation of serum treatment.It can be combined with surgery for intractable cases.

In the era of evidence-based medicine, it is necessary to explore the unique advantages of traditional Chinese medicine (TCM) based on standardized technical methods and operating procedures in order to achieve the modernization and internationalization of TCM and benefit all humanity. The proposal of a three-pronged evidence system combining TCM theory, human experience and experimental evidence marks an important progress in the thinking method of the TCM evaluation system. The multi-evidence body integrated through appropriate methods provides a strong support for the clinical guideline recommendations and evidence-based health decision-making in TCM. Based on the current methodological progress of international evidence synthesis and grading, this paper proposes a novel approach for integrating multi-evidence in TCM: the MERGE framework. The aim is to establish a solid foundation for the development of this methodology and provide guidance for the advancement of evidence-based medicine framework in TCM.

Objective To investigate the effects of linoleic acid(LA)on the diversity and structure of intestinal flora in mice.Methods Twelve SPF grade male C57BL/6J mice at 7 weeks were randomly divided into control group(CTRL group)and linoleic acid group(LA group).One day before the linoleic acid diet was supplemented,the normal food was removed from the LA group and the mice in the LA group were fasted for one night,so that the LA diet was more acceptable to the mice in the LA group,and LA was given on the day of the experiment recording,and the feed was updated at any time to ensure that the mice could eat freely until the end of modeling.After 12 weeks of modeling,mouse feces were collected,and mixed samples were collected for every two mice feces,and then 16sRNA high-throughput sequencing was performed to analyze intestinal flora structure,Alpha and Beta diversity.Results 16sRNA high-throughput sequencing showed that LA intervention damaged the richness and diversity of intestinal flora.The results of principal component analysis showed that the composition of flora in CTRL group was different from that in LA group.At gate level,the relative abundance of Actinobacteria in LA group increased(P＜0.01).At the genus level,the relative abundance of L.Duchennei in the LA group decreased(P＜0.05),but the relative abundance of Bifidobacterium,Faecalibaculum and Erysipelotrichaceae in the LA group increased(all P＜0.01).Conclusion LA intervention could reduce the richness and diversity of intestinal flora in mice,and adjust the structure of intestinal flora.There were significant differences between beneficial bacteria and pathogenic bacte-ria in intestinal flora after LA intervention,which provided certain basis for the treatment of bioactive compounds of linoleic acid and the therapeutic adjustment of intestinal microorganisms as targets.

Objective To investigate the effect of ursodeoxycholic acid(UDCA)on the symptoms after severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infection in patients with primary biliary cholangitis(PBC)and their family member.Methods A questionnaire survey was conducted to collect related information from 171 PBC patients who attended The First Affiliated Hospital of Air Force Medical University before March 22,2023 and 128 family members,including demographic information,comorbidities,UDCA administration,SARS-CoV-2 infection,vaccination,symptoms,therapeutic medication,and the changes in liver disease-related symptoms.The independent-samples t test or the Mann-Whitney U test was used for comparison of continuous data between two groups,and the chi-square test or the Fisher's exact test was used for comparison of categorical data between two groups.Results The median age was 51 years in the PBC patients and 49 years in the family members,with no significant difference between the two groups(P>0.05).Compared with the family member group,the PBC group had significantly lower body mass index(22.2±2.4 kg/m2 vs 23.3±2.9 kg/m2,P<0.001)and proportion of male individuals(10%vs 55%,P<0.001).All PBC patients received UDCA at a dose of 13—15 mg/kg,and SARS-CoV-2 infection rate was 100%in both groups.The family members had a significantly higher SARS-CoV-2 vaccination rate than the PBC patients(91%vs 57%,P<0.001).Compared with the family members,the PBC patients had significantly milder symptoms of sneezing,nasal obstruction,chest pain,and abnormal taste(P<0.05).Compared with the family members,the PBC patients had significantly lower rates of use of compound cold medicine(11%vs 20%,P<0.05)and Lianhua Qingwen capsules(12%vs 21%,P<0.05).For the PBC patients after SARS-CoV-2 infection,the liver disease-related symptoms such as fatigue,abdominal distension,dry mouth and dry eyes,pruritus,and yellow skin were aggravated by 37%,2%,27%,10%,and 3%,respectively.Conclusion Compared with the immediate family members of PBC patients who do not take UDCA,the PBC patients receiving UDCA do not show a reduction in SARS-CoV-2 infection rate,but UDCA may have a certain effect on alleviating infection-related symptoms in such patients.PBC patients may still experience the aggravation of liver disease-related symptoms after SARS-CoV-2 infection,and the long-term effect on PBC patients after SARS-CoV-2 infection should be taken seriously in clinical practice.

Objective To study the effect and mechanism of action of Yi Sui Sheng Xue Fang(YSSX)in ameliorating chemotherapy-induced renal injury in mice through The Kelch-like ECH-associated protein 1(KEAP1)/Nuclear factor erythroid-derived 2-like 2(NRF2)signalling pathway.Methods A mouse kidney injury model was induced by intraperitoneal injection of carboplatin(40 mg·kg-1).C57BL/6 mice were randomly divided into blank group(0.9％NaCl),model group(kidney injury model)and experimental-L,experimental-M,experimental-H groups(0.53,1.05 and 2.10 g·kg-1·d-1 YSSX by gavage for 7 d).Keap1 and Nrf2 were determined by Western blot;superoxide dismutase(SOD)and malondialdehyde(MDA)activities were determined by spectrophotometry.Results The protein expression levels of Keap1 in blank group,model group and experimental-L,experimental-M,experimental-H groups were 0.26±0.02,0.64±0.03,0.59±0.01,0.45±0.05 and 0.34±0.02;the protein expression levels of Nrf2 were 0.69±0.06,0.35±0.01,0.36±0.01,0.48±0.02 and 0.56±0.01;the enzyme activities of catalase(CAT)were(572.49±912.92),(334.60±4.92),(402.76±9.80),(475.35±5.21)and(493.00±12.03)U·mg-1;glutathione(GSH)were(2.79±0.06),(0.51±0.01),(0.59±0.07),(1.29±0.04)and(1.70±0.08)μmol·L1;SOD were(477.00±4.32),(260.67±6.13),(272.67±2.87),(386.33±3.68)and(395.00±12.25)U·mL-1;MDA were(3.89±0.02),(7.32±0.03),(6.94±0.14),(4.60±0.01)and(4.34±0.02)nmol·mg prot-1.The differences of the above indexes in the model group compared with the blank group were statistically significant(P＜0.01,P＜0.001);the differences of the above indexes in experimental-M,experimental-H groups compared withe model group were statistically significant(P＜0.01,P＜0.001).Conclusion YSSX can activate Keap1/Nrf2 signaling pathway and regulate the oxidative stress state of the organism,thus improving the renal injury caused by chemotherapy in mice.