Objective To investigate the changes in eosinophil counts and the activation of microglial cells in the brain tissues of mice at different stages of Angiostrongylus cantonensis infection, and to examine the role of microglia in regulating the progression of angiostrongyliasis and unravel the possible molecular mechanisms. Methods Fifty BALB/c mice were randomly divided into the control group and the 7-d, 14-d, 21-day and 25-d infection groups, of 10 mice in each group. All mice in infection groups were infected with 30 stage III A. cantonensis larvae by gavage, and animals in the control group was given an equal amount of physiological saline. Five mice were collected from each of infection groups on days 7, 14, 21 d and 25 d post-infection, and 5 mice were collected from the control group on the day of oral gavage. The general and focal functional impairment was scored using the Clark scoring method to assess the degree of mouse neurological impairment. Five mice from each of infection groups were sacrificed on days 7, 14, 21 d and 25 d post-infection, and 5 mice from the control group were sacrificed on the day of oral gavage. Mouse brain tissues were sampled, and the pathological changes of brain tissues were dynamically observed using hematoxylin and eosin (HE) staining. Immunofluorescence staining with eosinophilic cationic protein (ECP) and ionized calcium binding adaptor molecule 1 (Iba1) was used to assess the degree of eosinophil infiltration and the counts of microglial cells in mouse brain tissues in each group, and the morphological parameters of microglial cells (skeleton analysis and fractal analysis) were quantified by using Image J software to determine the morphological changes of microglial cells. In addition, the expression of M1 microglia markers Fcγ receptor III (Fcgr3), Fcγ receptor IIb (Fcgr2b) and CD86 antigen (Cd86), M2 microglia markers Arginase 1 (Arg1), macrophage mannose receptor C-type 1 (Mrc1), chitinase-like 3 (Chil3), and phagocytosis genes myeloid cell triggering receptor expressed on myeloid cells 2 (Trem2), CD68 antigen (Cd68), and apolipoprotein E (Apoe) was quantified using real-time quantitative reverse transcription PCR (RT-qPCR) assay in the mouse cerebral cortex of mice post-infection. Results A large number of A. cantonensis larvae were seen on the mouse meninges surface post-infection, and many neuronal nuclei were crumpled and deeply stained, with a large number of bleeding points in the meninges. The median Clark scores of mouse general functional impairment were 0 (interquartile range, 0), 0 (interquartile range, 0.5), 6 (interquartile range, 1.0), 14 (interquartile range, 8.5) points and 20 (interquartile range, 9.0) points in the control group and the 7-d, 14-d, 21-d and 25-d groups, respectively (H = 22.45, P < 0.01), and the median Clark scores of mouse focal functional impairment were 0 (interquartile range, 0), 2 (interquartile range, 2.5), 7 (interquartile range, 3.0), 18 (interquartile range, 5.0) points and 25 (interquartile range, 6.5) points in the control group and the 7-d, 14-d, 21-d and 25-d groups, respectively (H = 22.72, P < 0.01). The mean scores of mice general and focal functional impairment were all higher in the infection groups than in the control group (all P values < 0.05). Immunofluorescence staining showed a significant difference in the eosinophil counts in mouse brain tissues among the five groups (F = 40.05, P < 0.000 1), and the eosinophil counts were significantly higher in mouse brain tissues in the 14-d (3.08 ± 0.78) and 21-d infection groups (5.97 ± 1.37) than in the control group (1.00 ± 0.28) (both P values < 0.05). Semi-quantitative analysis of microglia immunofluorescence showed a significant difference in the counts of microglial cells among the five groups (F = 17.66, P < 0.000 1), and higher Iba1 levels were detected in mouse brain tissues in 14-d (5.75 ± 1.28), 21-d (6.23 ± 1.89) and 25-d infection groups (3.70 ± 1.30) than in the control group (1.00 ± 0.30) (all P values < 0.05). Skeleton and fractal analyses showed that the branch length [(162.04 ± 34.10) μm vs. (395.37 ± 64.11) μm; t = 5.566, P < 0.05] and fractal dimension of microglial cells (1.30 ± 0.01 vs. 1.41 ± 0.03; t = 5.266, P < 0.05) were reduced in mouse brain tissues in the 21-d infection group relative to the control group. In addition, there were significant differences among the 5 groups in terms of M1 and M2 microglia markers Fcgr3 (F = 48.34, P < 0.05), Fcgr2b (F = 55.46, P < 0.05), Cd86 (F = 24.44, P < 0.05), Arg1 (F = 31.18, P < 0.05), Mrc1 (F = 15.42, P < 0.05) and Chil3 (F = 24.41, P < 0.05), as well as phagocytosis markers Trem2 (F = 21.19, P < 0.05), Cd68 (F = 43.95, P < 0.05) and Apoe (F = 7.12, P < 0.05) in mice brain tissues. Conclusions A. cantonensis infections may induce severe pathological injuries in mouse brain tissues that are characterized by massive eosinophil infiltration and persistent activation of microglia cells, thereby resulting in progressive deterioration of neurological functions.

Objective To investigate the prevalence of Echinococcus infections in small rodents around human residential areas in Yushu City, Qinghai Province in 2023, so as to provide insights into precision echinococcosis control. Methods One or two quadrats, each measuring 50 m × 50 m, were randomly assigned in Shanglaxiu Township and Longbao Township, Yushu City, Qinghai Province on June 2023, respectively, and 300 plate-type mouse traps, each measuring 12.0 cm × 6.5 cm, were assigned in each quadrat. Small rodents were captured during the period between 10 : 00 and 18 : 00 each day for 4 days. Then, all captured small rodents were identified and dissected, and liver specimens with suspected Echinococcus infections were subjected to pathological examinations. The Echinococcus cytochrome c oxidase 1 (cox1) gene was amplified using PCR assay, and the sequence of the amplified product was aligned to that was recorded in the GenBank to characterize the parasite species. In addition, a phylogenetic tree of Echinococcus was generated based on the cox1 gene sequence using the neighbor-joining method. Results A total of 236 small rodents were captured in Shanglaxiu and Longbao townships, Yushu City, including 65 Qinghai voles and 51 plateau pikas in Shanglaxiu Township, and 62 Qinghai voles and 58 plateau pikas in Longbao Township, and there was no significant difference in the constituent ratio of small rodents between the two townships (χ² = 0.294, P > 0.05). Seven plateau pikas and 12 Qinghai voles were suspected to be infected with Echinococcus by dissection, and pathological examinations showed unclear structure of hepatic lobules and disordered hepatocyte arrangement in livers of small rodents suspected of Echinococcus infections. PCR assay identified E. shiquicus DNA in 7 Qinghai voles, which were all captured from Shanglaxiu Township. Phylogenetic analysis showed that the cox1 gene sequence of Echinococcus in small rodents was highly homologous to the E. shiquicus cox1 gene sequence reported previously. Conclusion Plateau pika and Qinghai vole were predominant small rodents around human residential areas in Yushu City, Qinghai Province in 2023, and E. shiquicus infection was detected in Qinghai voles.

Objective To investigate the spatiotemporal distribution characteristics and potential influencing factors of newly diagnosed echinococcosis cases in Qinghai Province from 2016 to 2022, so as to provide insights into the formulation of the echinococcosis control strategy in Qinghai Province. Methods The number of individuals screened for echinococcosis, number of newly diagnosed echinococcosis cases, number of registered dogs and number of stray dogs were captured from the annual reports of echinococcosis control program in Qinghai Province from 2016 to 2022, and the detection of newly diagnosed echinococcosis cases was calculated. The number of populations, precipitation, temperature, wind speed, sunshine hours, average altitude, number of year-end cattle stock, number of year-end sheep stock, gross domestic product (GDP) per capita, and number of village health centers in each county (district) of Qinghai Province were captured from the Qinghai Provincial Statistical Yearbook, and county-level electronic maps in Qinghai Province were downloaded from the National Platform for Common Geospatial Information Services. The software ArcGIS 10.8 was used to map the distribution of newly diagnosed echinococcosis cases in Qinghai Province, and the spatial autocorrelation analysis of newly diagnosed echinococcosis cases was performed. In addition, the spacetime scan analyses of number of individuals screened for echinococcosis, number of newly diagnosed echinococcosis cases and geographical coordinates in Qinghai Province were performed with the software SaTScan 10.1.2, and the spatial stratified heterogeneity of the detection of newly diagnosed echinococcosis cases was investigated with the software GeoDetector. Results A total of 6 569 426 residents were screened for echinococcosis in Qinghai Province from 2016 to 2022, and 5 924 newly diagnosed echinococcosis cases were found. The detection of newly diagnosed echinococcosis cases appeared a tendency towards a decline over years from 2016 to 2022 (χ² = 11.107, P < 0.01), with the highest detection in Guoluo Tibetan Autonomous Prefecture in 2017 (82.12/10⁵). There were spatial clusters in the detection of newly diagnosed echinococcosis cases in Qinghai Province from 2016 to 2018 (Moran’s I = 0.34 to 0.65, all Z values > 1.96, all P values < 0.05), and the distribution of newly diagnosed echinococcosis cases appeared random distribution from 2019 to 2022 (Moran’s I = −0.09 to 0.04, all Z values < 1.96, all P values > 0.05). Local spatial autocorrelation analysis showed high-high clusters and low-low clusters in the detection of new diagnosed echinococcosis cases in Qinghai Province from 2016 to 2022, and space-time scan analysis showed that the first most likely cluster areas of newly diagnosed echinococcosis cases in Qinghai Province from 2016 to 2022 were mainly distributed in Yushu Tibetan Autonomous Prefecture and Guoluo Tibetan Autonomous Prefecture. GeoDetector-based analysis of the driving factors for the spatial stratified heterogeneity of detection of newly diagnosed echinococcosis cases in Qinghai Province showed that average altitude, number of village health centers, number of cattle and sheep stock, GDP per capita, annual average sunshine hours, and annual average temperature had a strong explanatory power for the spatial distribution of newly diagnosed echinococcosis cases, with q values of 0.630, 0.610, 0.600, 0.590, 0.588, 0.537 and 0.526, respectively. Conclusions The detection of newly diagnosed echinococcosis cases appeared a tendency towards a decline in Qinghai Province over years from 2016 to 2022, showing spatial clustering. Targeted control measures are required in cluster areas of newly diagnosed echinococcosis cases for further control of the disease.

Objective To explore the application effect of the Roy adaptation model in continuing care for patients with acute-ST segment elevation myocardial infarction(STEMI)after interventional treatment.Methods A total of 120 STEMI patients who received emergency percutaneous coronary intervention at Henan Chest Hospital from March 2020 to February 2022 were selected as the research subjects.Patients were randomly divided into the observation group and the control group by using a random number table method,with 60 patients in each group.After discharge,patients in the control group received routine continuing care intervention,while patients in the observation group received continuing care based on Roy's adaptation model.Before and at 1 year of intervention,the posttraumatic growth level of patients in the two groups was evaluated by using the posttraumatic growth inventory(PTGI),the adherence to antiplatelet and anticoagulant medication of patients in the two groups was evaluated with the medication adherence questionnaire(MAQ),and the quality of life of patients in the two groups was evaluated with the China questionnaire of quality of life in patients with cardiovascular diseases(CQQC).Patients in the two groups were followed up for 1 year.The major adverse cardiac events(MACE)that occurred within 1 year were recorded.Results The proportion of patients with strong adherence in the observation group was significantly higher than that in the control group(x2=9.969,P＜0.05).Before the intervention,there was no significant difference in the PTGI and CQQC scores of patients between the observation group and the control group(P＞0.05).At 1 year of intervention,the PTGI and CQQC scores of patients in both groups were significantly higher than those before intervention,and the PTGI and CQQC scores of patients in the observation group were significantly higher than those in the control group(P＜0.05).The total incidence of MACE in the control group and the observation group was 23.33％(14/60)and 8.33％(5/60),respectively.The total inci-dence of MACE in the observation group was significantly lower than that in the control group(P＜0.05).Conclusion The Roy adaptation model can significantly improve the patient's posttraumatic growth level and secondary preventive medication adherence in continuing care after STEMI intervention treatment,reducing the occurrence of MACE and improving the quality of life.

Objective:To explore the prenatal diagnosis, clinical intervention and pregnancy outcome of fetal goiter complicated by hypothyroidism.Methods:Three fetuses diagnosed with goiter and hypothyroidism in the First Affiliated Hospital of Anhui Medical University from January 2021 to December 2022 were retrospectively included. Thyroid function tests were performed using umbilical cord blood samples after the fetuses were diagnosed with goiter by prenatal ultrasound. Oral L-thyroxine was given to pregnant women diagnosed with fetal goiter complicated by hypothyroidism, and the changes in fetal thyroid ultrasound imaging and serological indexes were monitored. Clinical manifestations, pregnancy outcomes and postnatal follow-up were summarized using descriptive statistical analysis.Results:Case 1, 2 and 3 were diagnosed as having fetal goiter with rich blood flow signals in the thyroid by ultrasound at 24, 21 and 23 +5 weeks of gestation, respectively. Thyroid function tests showed abnormal increase of thyrotropin in umbilical cord blood and the fetuses were diagnosed with congenital hypothyroidism. Oral administration of L-thyroxine to pregnant women had no significant impact on the sizes of the enlarged thyroid glands, but the blood flow richness was significantly reduced. Moreover, the level of thyrotropin in umbilical cord blood decreased significantly after intervention. Case 2 was terminated due to social factors in another hospital at 34 + weeks of gestation. Cases 1 and 3 were full-term deliveries and followed up for 12 or 18 months. The thyroid function of both neonates were normal at birth and during follow-up. Conclusions:Ultrasound combined with thyroid function tests using umbilical cord blood are helpful in the prenatal diagnosis of fetal goiter complicated by hypothyroidism. Oral administration of L-thyroxine to pregnant women may have practical clinical significance in improving fetal thyroid function.

Objective:To systematically evaluate the intelligence-assisted endoscopic diagnosis system based on deep learning (DL-IEDS) for early cancer of the upper digestive tract.Methods:Literature on the value of DL-IEDS for diagnosis of early cancer of the upper digestive tract was searched in English (PubMed, Embase, Web of Science and Cochrane Library)and Chinese databases (Sinomed, CNKI, Wanfang and VIP). The quality of literatures was evaluated according to Quality Assessment of Diagnostic Accuracy Studies-2. The Rev Man 5.3, Meta-Disc 1.4 and Stata 15.1 were used for the meta-analysis.Results:Eight studies were included with a total of 9 675 images (including 2 748 images of early cancer). Meta-analysis results showed that the pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio and comprehensive diagnostic ratio of DL-IEDS in the diagnosis of early cancer of the upper digestive tract were 0.920, 0.874, 6.824, 0.103 and 71.109, respectively. The area under the curve (AUC) of summary receiver operating characteristics was 0.958 7. Five studies reported the results of DL-IEDS in the diagnosis of early gastric cancer, and the combined analysis showed that the pooled sensitivity and specificity were 0.840 and 0.845 respectively, and the AUC was 0.919. Four studies reported the accuracy rate of endoscopic experts and endoscopic novices in diagnosing early upper gastrointestinal cancer, and results showed that the pooled sensitivity, specificity and AUC were 0.693, 0.892 and 0.892 3, and 0.586, 0.860 and 0.754 5, respectively. Compared with endoscopy experts, the AUC of DL-IEDS in diagnosis of early upper gastrointestinal cancer showed no statistically significant difference ( Z=1.510, P=0.131), while compared with endoscopy novices, the difference was statistically significant ( Z=6.841, P<0.001). Conclusion:The DL-IEDS has high diagnostic accuracy for early upper digestive tract cancer, and can significantly improve the diagnostic ability of endoscopy novices.

Cyclodextrin metal-organic framework (CD-MOF) as a highly porous supramolecular carrier could be one of the solutions to the insolubility of isosteviol (STV). The solubility of STV was lower than 20.00 ng/mL at pH 1.0 and pH 4.5, whilst its solubility increased to 20,074.30 ng/mL at pH 6.8 and 129.58 ng/mL in water with a significant pH-dependence. The

The panoramic perception of medical equipment operation and maintenance status is the basic guarantee for the implementation of smart medical care, the machine learning algorithm-based autonomous perception and active early warning model of medical equipment operation and maintenance status is proposed. Introduce deep learning multi-dimensional perception of medical equipment multi-source heterogeneous fault data training sample characteristics to realize autonomous perception of medical equipment operation and maintenance status, introduce reinforcement learning to realize autonomous decision-making of test sample fault characteristics, and build the active early warning mechanism for medical equipment faults. Taking the equipment department of hospital as the carrier of model effectiveness verification, the effectiveness simulation of the model was carried out, the results show that the model has the advantages of comprehensive fault information perception, strong compatibility of medical equipment, high efficiency of active early warning.
Algorithms ; Computer Simulation ; Machine Learning ; Self Concept ; Surgical Equipment

COVID-19 is an emerging infectious disease caused by SARS-CoV-2. After the infection of the virus, the host immune system is stimulated to produce multifarious specific antibodies to decrease or eliminate effects of the pathogen. Study of the specific antibodies dynamic characteristics in patients with COVID-19 is very important for the understanding and diagnosis of the disease, research and development of vaccine, and planning of prevention and control strategy. This paper reviews and summarizes the domestic and oversea research on dynamic characteristics of specific antibodies of COVID-19 patients, including the antibody producing, duration and level, and its possible influencing factors in order to improve the understanding of the immunological characteristics of COVID-19.

Objective: To investigate the relationship between duration of sleep and all-cause mortality in patients with type 2 diabetes. Methods: A total of 17 452 type 2 diabetic patients who were under the National Basic Public Health Service Project, in Changshu county, Qinghe district and Huai’an district in Huai’an city of Jiangsu province, were recruited as participants. Cox proportional hazards regression models were used to estimate the associations between different levels on the duration of sleep and all-cause mortality. Stratified analysis was performed according to factors as gender, age, and lifestyle. Results: Among the 67 912 person-years of observation, from the fo1low- up program, the median time of follow-up was 4 years, with 1 057 deaths occurred during the follow-up period. Taking patients with duration of sleep as 7 h/d for reference, the multivariate adjusted hazard ratios (95%CI) of all-cause mortality appeared as ≤6, 8, 9 and ≥10 h/d were 1.14 (0.94-1.37), 1.10 (0.91-1.32), 1.33 (1.05-1.70), and 1.52 (1.24-1.87), respectively which were associated with the duration of sleep. Data from the subgroup analysis showed that this was consistent with the whole population. Longer duration of sleep was associated with the all-cause mortality but no significant association was found between shorter duration of sleep and the all-cause mortality. Conclusion Longer duration of sleep seemed to have increased the risk of all-cause mortality in type 2 diabetic patients.