Objective To summarize the epidemiological and clinical features of infectious diseases of the central nervous system(CNS)by a single-center analysis.Methods A retrospective analysis was conducted on the data of 1247 cases of CNS infectious diseases diagnosed and treated in the First Medical Center of PLA General Hospital from 2001 to 2020.Results The data for this group of CNS infectious diseases by disease type in descending order of number of cases were viruses 743(59.6％),Mycobacterium tuberculosis 249(20.0％),other bacteria 150(12.0％),fungi 68(5.5％),parasites 18(1.4％),Treponema pallidum 18(1.4％)and rickettsia 1(0.1％).The number of cases increased by 177 cases(33.1％)in the latter 10 years compared to the previous 10 years(P<0.05).No significant difference in seasonal distribution pattern of data between disease types(P>0.05).Male to female ratio is 1.87︰1,mostly under 60 years of age.Viruses are more likely to infect students,most often at university/college level and above,farmers are overrepresented among bacteria and Mycobacterium tuberculosis,and more infections of Treponema pallidum in workers.CNS infectious diseases are characterized by fever,headache and signs of meningeal irritation,with the adductor nerve being the more commonly involved cranial nerve.Matagenomic next-generation sequencing improves clinical diagnostic capabilities.The median hospital days for CNS infectious diseases are 18.00(11.00,27.00)and median hospital costs are ￥29,500(￥16,000,￥59,200).The mortality rate from CNS infectious diseases is 1.6％.Conclusions The incidence of CNS infectious diseases is increasing last ten years,with complex clinical presentation,severe symptoms and poor prognosis.Early and accurate diagnosis and standardized clinical treatment can significantly reduce the morbidity and mortality rate and ease the burden of disease.

Objective This study aimed to investigate the potential relationship between urinary metals copper (Cu), arsenic (As), strontium (Sr), barium (Ba), iron (Fe), lead (Pb) and manganese (Mn) and grip strength. Methods We used linear regression models, quantile g-computation and Bayesian kernel machine regression (BKMR) to assess the relationship between metals and grip strength.Results In the multimetal linear regression, Cu (β=-2.119), As (β=-1.318), Sr (β=-2.480), Ba (β=0.781), Fe (β= 1.130) and Mn (β=-0.404) were significantly correlated with grip strength (P < 0.05). The results of the quantile g-computation showed that the risk of occurrence of grip strength reduction was -1.007 (95％ confidence interval:-1.362, -0.652; P < 0.001) when each quartile of the mixture of the seven metals was increased. Bayesian kernel function regression model analysis showed that mixtures of the seven metals had a negative overall effect on grip strength, with Cu, As and Sr being negatively associated with grip strength levels. In the total population, potential interactions were observed between As and Mn and between Cu and Mn (Pinteractions of 0.003 and 0.018, respectively).Conclusion In summary, this study suggests that combined exposure to metal mixtures is negatively associated with grip strength. Cu, Sr and As were negatively correlated with grip strength levels, and there were potential interactions between As and Mn and between Cu and Mn.

Objective To establish a dynamic prediction model of fatal massive hemorrhage in trauma based on the vital signs time series data and machine learning algorithms.Methods Retrospectively analyze the vital signs time series data of 7522 patients with trauma in the Medical Information Mart for Intensive Care-Ⅳ(MIMIC-Ⅳ)database from 2008 to 2019.According to the occurrence of posttraumatic fatal massive hemorrhage,the patients were divided into two groups:fatal massive hemorrhage group(n=283)and non-fatal massive hemorrhage group(n=7239).Six machine learning algorithms,including logistic regression(LR),support vector machine(SVM),random forests(RF),adaptive boosting(AdaBoost),gated recurrent unit(GRU),and GRU-D were used to develop a dynamic prediction models of fatal massive hemorrhage in trauma.The probability of fatal massive hemorrhage in the following 1,2,and 3 h was dynamically predicted.The performance of the models was evaluated by accuracy,sensitivity,specificity,positive predictive value,negative predictive value,Youden index,and area under receiver operating characteristic curve(AUC).The models were externally validated based on the trauma database of the Chinese PLA General Hospital.Results In the MIMIC-Ⅳ database,the set of dynamic prediction models based on the GRU-D algorithm was the best.The AUC for predicting fatal major bleeding in the next 1,2,and 3 h were 0.946±0.029,0.940±0.032,and 0.943±0.034,respectively,and there was no significant difference(P=0.905).In the trauma dataset,GRU-D model achieved the best external validation effect.The AUC for predicting fatal major bleeding in the next 1,2,and 3 h were 0.779±0.013,0.780±0.008,and 0.778±0.009,respectively,and there was no significant difference(P=0.181).This set of models was deployed in a public web calculator and hospital emergency department information system,which is convenient for the public and medical staff to use and validate the model.Conclusion A set of dynamic prediction models has been successfully developed and validated,which is greatly significant for the early diagnosis and dynamic prediction of fatal massive hemorrhage in trauma.

Radiation mainly comes from medical radiation,industrial radiation,nuclear waste and atmospheric ultraviolet radiation,etc.,radiation is divided into ionizing radiation and non-ionizing radiation.Studying the effects of ionizing and non-ionizing radiation on drug metabolism,understanding the absorption and distribution of drugs in the body after radiation and the speed of elimination under radiation conditions can provide reasonable guidance for clinical medication.This article reviews the effects of radiation on the pharmacokinetics of different drugs,elaborates the changes of different pharmacokinetics under radiation state,and discusses the reasons for the changes.

AIM To study the chemical constituents from seeds of Canavalia gladiata(Jacq.)DC.,and their estrogen-like activities.METHODS The 75% ethanol extract from the seeds of C.gladiata was isolated and purified by various chromatography,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The estrogen-like activities were evaluated by human breast cancer cells(MCF-7)stably transfected with estrogen receptor reporter gene(ER-Luc).RESULTS Twelve compounds were isolated and identified as biorobin(1),kaempferol 3-O-[O-β-D-apio-D-furanosyl(1→2)-O-[α-L-rhamno-pyranosyl(1 → 6)]-β-D-galactopyranoside(2),kaempferol 3-O-{β-D-glucopyranosyl(1 → 2)-[α-L-rhamonopyranosyl(1→6)]-β-D-galactopyranoside}(3),iso-quercitrin(4),quercetin 3-O-(6″-O-galloyl)-β-D-glucoside(5),isomyricitrin(6),myricetin-3-O-rutinoside(7)(3-ethenylphenyl)-1,2-ethanediol(8),1,3,6-tri-O-galloyl-β-D-glucopyranose(9),breynioside A(10),4-hydroxy-3-methoxyphenol-1-O-β-D-(6′-O-galloyl)glucoside(11),maesopsin-6-O-β-D-glucopyranoside(12).Compounds 1,3-5,8-9 in the concentration of 50 μmol/L,and compounds 2,12 in 100 μmol/L showed estrogen-like activities.CONCLUSION All compounds are isolated from the gene Canavalia for the first time.Compounds 1,3-5,8-9 showed stronger estrogen-like activities than compounds 2 and 12.

The aim of this study was to investigate the effect of baicalein on a Drosophila model of hereditary Parkinson's disease caused by gene mutations and to preliminarily elucidate the mechanism of baicalein in delaying hereditary Parkinson's disease. In this paper, PTEN-induced putative kinase 1 (PINK1)-RNAi Parkinson's Drosophila were used as the model group and wild-type Drosophila w¹¹¹⁸ were used as the control group. Different doses of baicalein and Madopa were administered to the model group to observe their effects on the life span, motor ability, the abnormal rate of wings, dopamine content and dopaminergic neurons of PINK1-RNAi Parkinson's Drosophila and their effects on mitochondrial dysfunction including adenosine triphosphate (ATP), mitochondrial DNA (mtDNA) and reactive oxygen species (ROS) content. The results showed that the effective administration doses of baicalein were 0.8 mg·mL^-1 for low concentration, 1.6 mg·mL^-1 for medium concentration and 3.2 mg·mL^-1 for high concentration, and the optimal administration dose of the positive drug Madopa was 0.1 μg·mL^-1. Baicalein and Madopa could significantly improve the life span, exercise ability and reduce the abnormal rate of wings of PINK1-RNAi male Drosophila (P < 0.05), and low dose baicalein showed the best effect; baicalein could improve the loss of dopaminergic neurons, and the effects of low dose and high dose were the best, but Madopa showed no significant effect; baicalein and Madopa had no significant effect on dopamine content (P > 0.05). Baicalein and Madopa could increase the ATP content of PINK1-RNAi male Drosophila (P < 0.05), and low dose baicalein showed the best effect; middle dose baicalein could significantly increase the mtDNA content of PINK1-RNAi male Drosophila (P < 0.05), but Madopa had no significant effect; baicalein and Madopa had no significant effect on ROS content (P > 0.05).

AIM: To compare the changes of corneal refractive power before and after wearing defocus rigid gas permeable contact lens(RGPCL)in children with high myopia, and to analyze its influence on corneal refractive power and astigmatism after wearing glasses.METHODS: Self-controlled before-after study. A total of 30 cases(60 eyes)of children aged 8-12, with high myopia who were treated and fitted with defocus RGPCL in the Optometry Center of Xi'an First Hospital from June 2019 to June 2020 were collected. Using TMS-4N corneal topography instrument to measure the corneal tangential refractive power at baseline and wearing lens for 0.5 and 1a, and analyze the nasal side(N), temporal side(T), superior(S)and inferior(I)of the maximum corneal refractive power values at the 4 axial directions and the changes of the corneal refractive power at the center were collected at the same time at 1 mm intervals. The changes of corneal refractive power at each point before and after wearing glasses were analyzed. The axial length, diopter and corneal topography were required to be measured after 0.5 and 1a, and the changes in axial length, spherical equivalent, astigmatism and corneal refraction compared with baseline were analyzed.RESULTS: The maximum corneal refractive power of nasal(N), temporal(T), superior(S)and inferior(I)side was significantly increased at 0.5 and 1a when wearing defocus RGPCL compared with that before wearing glasses, which all showed positive relative refractive power compared with the corneal refractive power at center and was significantly different from the negative relative refractive power before wearing lenses. The relative peripheral refractive power of the cornea changed in the direction of positive refractive power when the lenses were worn for 0.5 and 1a. Except for the increase in the peripheral negative refractive power at the T1 point, the peripheral refractive power at all points in the other axes increased significantly. After wearing for 0.5a, the corneal steep K value became flat by 0.11±0.10D, the simK value decreased by 0.20±0.18D, the corneal steep K value became flat by 0.10±0.12D after 1a, the average K value became flat by 0.02±0.05D, and the simK value decreased by 0.16±0.13D. There was no significant difference in corneal level K from the baseline after wearing glasses for 0.5 and 1a.CONCLUSIONS: The maximum refractive power of the cornea in the state of wearing defocus RGPCL is positive relative refractive power compared with the vertex of cornea, and the relative peripheral negative refractive power of the cornea at each point on the 4 axes changes from negative value to positive value. Within 1a of wearing glasses, the axial length and spherical equivalent increased compared with the baseline, while the amount of astigmatism decreased, and the corneal refractive power showed a trend of steep K and flattening.

AIM: To investigate the effect of modified Chufeng Yisun Decoction on ocular surface inflammation after pterygium surgery.METHODS: A total of 60 patients(60 eyes)with primary pterygium who underwent pterygium surgery were randomly divided into control group and study group, with 30 cases(30 eyes)in each group. In the control group, patients were treated with pranoprofen eye drops, tobramycin dexamethasone eye drops, and deproteinized calf blood extract eye gel after the surgery. In the study group, patients were treated by oral modified Chufeng Yisun Decoction in addition to the treatments in the control group. The changes of ocular irritation symptoms, ocular inflammatory signs, tear interleukin 6(IL-6)levels, and tear ferning test(TFT)of patients in the two groups were assessed.RESULTS: The visual analogue scale(VAS)in patients of both groups was significantly lower at 2d and 1wk after the surgery than that at 1d after the surgery(all P<0.01), and the VAS of the study group was significantly better than that of the control group at 2d and 1wk after surgery(P<0.01). The ocular signs integrals(OSI)and TFT results of both groups at 1wk were significantly lower than those at 1d after the surgery(all P<0.01), and the OSI and TFT were also lower in the study group than in the control group at 1wk after the surgery(all P<0.01). In addition, the concentration of tear IL-6 in both groups was significantly lower at 1wk after the surgery than 1d after the surgery(all P<0.01), and it was also significantly lower in the study group than in the control group at 1wk after the surgery(P<0.05).CONCLUSION: The combination of Chufeng Yisun Decoction and conventional treatment of western has a better effect on controlling ocular surface inflammation after pterygium surgery.

Objective: To analyze the association between exposure patterns of adverse childhood experiences (ACEs) and anxiety symptom trajectories in medical college students. Methods: A survey was conducted on first-year students from Anhui Medical College and Anqing Medical College, using the Childhood Abuse Questionnaire, Family Disability Questionnaire, Childhood Adverse Social Experience Item, and Anxiety Self Rating Scale. The baseline survey was conducted from November to December 2019, and two follow-up visits were conducted once every six months until November to December 2020. The latent class analysis (LCA) was used to analyze the exposure patterns of ACEs. The latent class growth analysis (LCGA) was used to analyze the development trajectory of anxiety symptoms. The multiple logistic regression model was used to analyze the correlation between different exposure patterns of ACEs and the trajectory of anxiety symptom trajectories. Results: A total of 3 662 college students aged (19.2±1.0) were surveyed. The LCA showed that the exposure patterns of ACEs could be divided into the "high ACEs" group (13.4%), "high neglect/emotional abuse" group (25.7%), "high family dysfunction" group (6.9%), "high neglect" group (27.1%), and "low ACEs" group (26.3%). The LCGA divided anxiety trajectories into four groups: "high anxiety decline" (7.1%),"anxiety increase "(4.1%), "moderate anxiety"(52.9%), and "low anxiety"(35.9%). Using the low ACEs group as a reference group, compared with the low anxiety trajectory, the high ACEs group, high neglect/emotional abuse group, high family dysfunction group, high neglect group, and medium to high-level anxiety trajectory were all associated with an increased risk (P<0.05). Conclusion: There is heterogeneity in ACEs exposure patterns among medical college students, and ACEs exposure patterns are important influencing factors for anxiety symptom trajectories.
Humans ; Adverse Childhood Experiences ; Anxiety/epidemiology* ; Child Abuse/psychology* ; Students/psychology* ; Surveys and Questionnaires ; Adolescent ; Young Adult

The chemical constituents from the fruits of Morinda citrifolia were systematically explored by chromatographic fractionation methods including silica gel, octadecylsilyl(ODS) gel, Sephadex LH-20 gel, and preparative high performance liquid chromatography(pre-HPLC). The chemical structures of all isolated compounds were identified on the basis of their physicochemical properties, spectroscopic analyses, as well as the comparisons of their physicochemical and spectroscopic data with the reported data in literature. As a result, 22 isolated compounds from the 90% ethanol extract of the fruits of M. citrifolia were identified, which were moricitritone(1), 2'-deoxythymidine(2), cyclo-(L-Pro-L-Tyr)(3), methyl-5-hydroxy-2-pyridinecarboxylate(4), methyl pyroglutamate(5), bisbenzopyran(6), epipinoresinol(7), 3, 3'-bisdemethyl pinoresinol(8), 3, 3'-bisdemethyltanegool(9), trimesic acid(10), crypticin B(11), kojic acid(12), vanillic acid(13), protocatechoic acid(14), 5-hydroxymethyl furfural(15), blumenol A(16), 1-O-(9Z, 12Z-octadecadienoyl) glycerol(17), mucic acid dimethylester(18), methyl 2-O-β-D-glucopyranosylbenzoate(19), 2-phenylethyl-O-β-D-glucoside(20), scopoletin(21), and quercetin(22). Among them, compound 1 was a new pyrone derivative, compounds 2, 4-7, 10-12, and 17 were isolated from the plants belonging to Morinda genus for the first time, and compound 18 was obtained from M. citrifolia for the first time. Moreover, on the basis of testing the activities of all isolated compounds on inhibiting the proliferation of synovial fibroblasts in vitro by MTS assay, the anti-rheumatoid arthritis activities of all isolated compounds were initially evaluated. The results showed that compounds 1-6, 9, 19, and 20 exhibited remarkable anti-rheumatoid arthritis activities, which displayed the inhibitory effects on the proliferation of MH7A synovial fibroblast cells with the IC_(50) values in the range of(3.69±0.08) to(168.96±0.98) μmol·L~(-1).
Fruit/chemistry* ; Morinda/chemistry* ; Synoviocytes ; Cell Proliferation ; Arthritis