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 To analyze the clinical characteristics of high energy metabolism in lung cancer patients and its correlation with body composition,nutritional status,and quality of life,and to develop a corresponding risk prediction model.Methods Retrospectively analyzed 132 primary lung cancer patients admitted to the First Hospital of Shanxi Medical University from January 2022 to May 2023,and categorized into high(n=94)and low energy metabolism group(n=38)based on their metabolic status.Differences in clinical data,body composition,Patient Generated Subjective Global Assessment(PG-SGA)scores,and European Organization for Research and treatment of Cancer(EORTC)Quality of Life Questionnaire-Core 30(QLQ-C30)scores were compared between the two groups.Logistic regression was used to identify the risk factors for high energy metabolism in lung cancer patients,and a risk prediction model was established accordingly;the Hosmer-Lemeshow test was used to assess the model fit,and the ROC curve was used to test the predictive efficacy of the model.Results Of the 132 patients with primary lung cancer,94(71.2%)exhibited high energy metabolism.Compared with low energy metabolism group,patients in high-energy metabolism group had a smoking index of 400 or higher,advanced disease staging of stage Ⅲ or Ⅳ,and higher levels of IL-6 level,low adiposity index,low skeletal muscle index,and malnutrition(P<0.05),and lower levels of total protein,albumin,hemoglobin level,and prognostic nutritional index(PNI)(P<0.05).There was no significant difference in age,gender,height,weight,BMI and disease type between the two groups(P>0.05).Logistic regression analysis showed that smoking index≥400,advanced disease stage,IL-6≥3.775 ng/L,and PNI<46.43 were independent risk factors for high energy metabolism in lung cancer patients.The AUC of the ROC curve for the established prediction model of high energy metabolism in lung cancer patients was 0.834(95%CI 0.763-0.904).Conclusion The high energy metabolic risk prediction model of lung cancer patients established in this study has good fit and prediction efficiency.

Platelets are reprogrammed by cancer via a process called education, which favors cancer development. The transcriptional profile of tumor-educated platelets (TEPs) is skewed and therefore practicable for cancer detection. This intercontinental, hospital-based, diagnostic study included 761 treatment-naïve inpatients with histologically confirmed adnexal masses and 167 healthy controls from nine medical centers (China, n = 3; Netherlands, n = 5; Poland, n = 1) between September 2016 and May 2019. The main outcomes were the performance of TEPs and their combination with CA125 in two Chinese (VC1 and VC2) and the European (VC3) validation cohorts collectively and independently. Exploratory outcome was the value of TEPs in public pan-cancer platelet transcriptome datasets. The AUCs for TEPs in the combined validation cohort, VC1, VC2, and VC3 were 0.918 (95% CI 0.889-0.948), 0.923 (0.855-0.990), 0.918 (0.872-0.963), and 0.887 (0.813-0.960), respectively. Combination of TEPs and CA125 demonstrated an AUC of 0.922 (0.889-0.955) in the combined validation cohort; 0.955 (0.912-0.997) in VC1; 0.939 (0.901-0.977) in VC2; 0.917 (0.824-1.000) in VC3. For subgroup analysis, TEPs exhibited an AUC of 0.858, 0.859, and 0.920 to detect early-stage, borderline, non-epithelial diseases and 0.899 to discriminate ovarian cancer from endometriosis. TEPs had robustness, compatibility, and universality for preoperative diagnosis of ovarian cancer since it withstood validations in populations of different ethnicities, heterogeneous histological subtypes, and early-stage ovarian cancer. However, these observations warrant prospective validations in a larger population before clinical utilities.
Humans ; Female ; Blood Platelets/pathology* ; Biomarkers, Tumor/genetics* ; Ovarian Neoplasms/pathology* ; China

OBJECTIVE: To develop and validate a user-friendly risk score for older mitral regurgitation (MR) patients, referred to as the Elder-MR score. METHODS: The China Senile Valvular Heart Disease (China-DVD) Cohort Study functioned as the development cohort, while the China Valvular Heart Disease (China-VHD) Study was employed for external validation. We included patients aged 60 years and above receiving medical treatment for moderate or severe MR (2274 patients in the development cohort and 1929 patients in the validation cohort). Candidate predictors were chosen using Cox's proportional hazards model and stepwise selection with Akaike's information criterion. RESULTS: Eight predictors were identified: age ≥ 75 years, body mass index < 20 kg/m², NYHA class III/IV, secondary MR, anemia, estimated glomerular filtration rate < 60 mL/min per 1.73 m², albumin < 35 g/L, and left ventricular ejection fraction < 60%. The model displayed satisfactory performance in predicting one-year mortality in both the development cohort (C-statistic = 0.73, 95% CI: 0.69-0.77, Brier score = 0.06) and the validation cohort (C-statistic = 0.73, 95% CI: 0.68-0.78, Brier score = 0.06). The Elder-MR score ranges from 0 to 15 points. At a one-year follow-up, each point increase in the Elder-MR score represents a 1.27-fold risk of death (HR = 1.27, 95% CI: 1.21-1.34, P < 0.001) in the development cohort and a 1.24-fold risk of death (HR = 1.24, 95% CI: 1.17-1.30, P < 0.001) in the validation cohort. Compared to EuroSCORE II, the Elder-MR score demonstrated superior predictive accuracy for one-year mortality in the validation cohort (C-statistic = 0.71 vs. 0.70, net reclassification improvement = 0.320, P < 0.01; integrated discrimination improvement = 0.029, P < 0.01). CONCLUSIONS The Elder-MR score may serve as an effective risk stratification tool to assist clinical decision-making in older MR patients.

Hepatotoxicity induced by bioactive constituents in traditional Chinese medicines or herbs,such as bavachin(BV)in Fructus Psoraleae,has a prolonged latency to overt drug-induced liver injury in the clinic.Several studies have described BV-induced liver damage and underlying toxicity mechanisms,but little attention has been paid to the deciphering of organisms or cellular responses to BV at no-observed-adverse-effect level,and the underlying molecular mechanisms and specific indicators are also lacking during the asymptomatic phase,making it much harder for early recognition of hepatotoxicity.Here,we treated mice with BV for 7 days and did not detect any abnormalities in biochemical tests,but found subtle steatosis in BV-treated hepatocytes.We then profiled the gene expression of hepatocytes and non-parenchymal cells at single-cell resolution and discovered three types of hepatocyte subsets in the BV-treated liver.Among these,the hepa3 subtype suffered from a vast alteration in lipid metabolism,which was characterized by enhanced expression of apolipoproteins,carboxylesterases,and stearoyl-CoA desaturase 1(Scd1).In particular,increased Scd1 promoted monounsaturated fatty acids(MUFAs)syn-thesis and was considered to be related to BV-induced steatosis and polyunsaturated fatty acids(PUFAs)generation,which participates in the initiation of ferroptosis.Additionally,we demonstrated that mul-tiple intrinsic transcription factors,including Srebf1 and Hnf4a,and extrinsic signals from niche cells may regulate the above-mentioned molecular events in BV-treated hepatocytes.Collectively,our study deciphered the features of hepatocytes in response to BV insult,decoded the underlying molecular mechanisms,and suggested that Scd1 could be a hub molecule for the prediction of hepatotoxicity at an early stage.

The application of new-generation information technologies such as big data, the internet of things(IoT), and cloud computing in the traditional Chinese medicine(TCM)manufacturing industry is gradually deepening, driving the intelligent transformation and upgrading of the TCM industry. At the current stage, there are challenges in understanding the extraction process and its mechanisms in TCM. Online detection technology faces difficulties in making breakthroughs, and data throughout the entire production process is scattered, lacking valuable mining and utilization, which significantly hinders the intelligent upgrading of the TCM industry. Applying data-driven technologies in the process of TCM extraction can enhance the understanding of the extraction process, achieve precise control, and effectively improve the quality of TCM products. This article analyzed the technological bottlenecks in the production process of TCM extraction, summarized commonly used data-driven algorithms in the research and production control of extraction processes, and reviewed the progress in the application of data-driven technologies in the following five aspects: mechanism analysis of the extraction process, process development and optimization, online detection, process control, and production management. This article is expected to provide references for optimizing the extraction process and intelligent production of TCM.
Medicine, Chinese Traditional ; Drugs, Chinese Herbal ; Quality Control ; Big Data ; Algorithms

The risk of plague epidemics and relapse of various types of plague foci persists in Inner Mongolia Autonomous Region. For Marmota sibirica plague foci, the animal plague has not been found but antibody has been detected positive. Nowadays, Marmota sibirica has been increasing in population and distribution in China. In bordering countries Mongolia and Russia, the animal plague has been continuously prevalent. For Spermophilus dauricus plague foci, the animal plague has been taken place now and then. Compared to the above foci, the animal plague is most prevalent in Meriones unguiculatus plague foci and frequently spread to humans. Due to higher strain virulence and historical disaster in Marmota sibirica plague foci and Spermophilus dauricus plague foci, plague prevention and control should be strengthened on these foci. In addition to routine surveillance, epidemic dynamics need to be further monitored in these two foci, in order to prevent their relapse and spread to humans.
Animals ; China/epidemiology* ; Epidemics ; Humans ; Plague/prevention & control* ; Prevalence ; Sciuridae ; Yersinia pestis

The processing of Chinese medicine is a unique and dialectical treatment of traditional Chinese medicine in clinic.The processing theory of "leading vinegar-processing Chinese medicine into liver" is one of the traditional processing theories of Chinese medicine.The vinegar-processing Chinese medicine under the guidance of the processing theory typically reflects the characteristics of "reducing toxicity and enhancing efficacy" of the processing of Chinese medicine.This paper traced the origin and discussed the connotation of the traditional theory of "leading vinegar-processing Chinese medicine into liver".Combined with the research status of "lea-ding vinegar-processing Chinese medicine into liver", this paper explored the mechanism of "leading vinegar-processing Chinese medicine into liver" from the aspects of material basis, medicine effect, and traditional Chinese medicine(TCM) meridian, and analyzed the existing problems in the current research.This paper reviewed the modern study on reducing toxicity and enhancing efficacy of vinegar-processing Chinese medicine, and deeply explored the scientific connotation of the traditional processing theory of "leading vinegar-processing Chinese medicine into liver".At the same time, the research trend and idea of the effect mechanism of "leading vinegar-processing Chinese medicine into liver" based on the Quality markers(Q-Marker) of TCM, biological targets, and clinical prescriptions were put forward, providing references for the further study on "leading vinegar-processing Chinese medicine into liver".This paper also provided a scientific basis for the rational selection of processed products in TCM clinical practice.
Acetic Acid ; Biomarkers ; Drugs, Chinese Herbal ; Liver ; Medicine, Chinese Traditional ; Meridians

This study aims to explore the effect of Jingfang Mixture on the protein expression of urticaria in mice and explain the mechanism of Jingfang Mixture in the treatment of urticaria. Twenty-seven male Kunming mice were randomly divided into a normal group, a model group and a Jingfang Mixture group according to body weight. Except for the normal group, mice in the model group and the Jingfang Mixture group were injected with the mixture of ovalbumin and Al(OH)_3 gel for the first immunization, and the second immunization was performed on the 10 th day to induce the urticaria model. Mice in the Jingfang Mixture group started to be administered on the 6 th day after the initial immunization, and was administered continuously for 21 days. The normal group and the model group were replaced with the same amount of purified water. Twenty-four hours after the last administration, an appropriate amount of skin was taken, and label-free quantitative proteomics technology was used to detect the differences in protein expression in skin tissue. The signaling pathways involved in the differential proteins was further analyzed. The results of proteomics indicated that seventy-six proteins were involved in the intervention of Jingfang Mixture on mice with urticaria, and the differential proteins were mainly enriched in biological process(BP), molecular function(MF), and cellular component(CC). Kyoto Encyclopedia of Genes and Genomes(KEGG) analysis showed that the signaling pathways regulated by Jingfang Mixture mainly involved carbon metabolism, metabolic pathways, glucagon signaling pathway, glycolysis/gluconeogenesis, pentose phosphate pathway, hypoxia inducible factor-1(HIF-1) signaling pathway, purine metabolism, adherens junction, calcium signaling pathway, leukocyte transendothelial migration, and inflammatory mediator regulation of transient receptor potential(TRP) channels, which were involved in skin tissue energy metabolism and immune regulation. The findings of this study showed that the protective effect of Jingfang Mixture on mice with urticaria was closely related to the regulation of immune disorders, and the regulatory effect on immune system may be achieved through the regulation of energy metabolism by Jingfang Mixture.
Male ; Mice ; Animals ; Proteomics/methods* ; Metabolic Networks and Pathways ; Urticaria/genetics* ; Signal Transduction ; Technology

Abstract: Objective　To investigate whether the complement system of COVID-19 is affected by vaccination, and also to explore the relationship between complement and length of stay in hospital, with a view to providing input for clinical diagnosis and the management of COVID-19 patients. Methods　The patients admitted from November 1st to November 30th, 2021 in the Eighth Affiliated Hospital of Guangzhou Medical University were selected as subjects. According to the time of vaccination, the patients were divided into two groups as vaccinated within half a year and over half a year. Then C3, C4, IgG, IgM, IgA, COVID-19 IgG and IgM, neutral granulocyte and lymphocyte count were detected and all patients' hospitalized days were recorded. With their hospitalization days of 14 d as a threshold, the patients were divided into two groups, and the above indicators were compared. Results　C3 concentration was (0.86±0.157) g/L in patients with vaccination within six months, which is significantly lower than (0.96±0.172) g/L in those over six months (P<0.05), but as for C4, IgG, IgM, IgA, COVID-19 IgG and IgM, neutral granulocyte and lymphocyte counts, there were no significant difference between two groups; as for the patients within 14 days of hospitalization, C3 and C4 concentrations were lower than those for more than 14 days, but the COVID-19 antibody IgG and IgM, lymphocyte counts were higher (all P<0.05). Conclusion　Vaccination within half a year can make the body's immune function and complement system to identify viruses earlier, more beneficial to remove viruses, but this effect is weakened after half a year; when admission, C3, C4, COVID-19 IgG level and lymphocyte counts can be used to predict hospitalization time in COVID-19 patients.