Objective To analyze the epidemiological characteristics and spatiotemporal clustering of varicella in Lu'an City from 2005 to 2023, and to provide a scientific basis for optimizing varicella prevention and control strategies. Methods Data on varicella cases were collected through the Chinese Center for Disease Control and Prevention Information System. Descriptive epidemiology, temporal trend analysis, seasonal analysis, spatiotemporal clustering analysis, and spatial autocorrelation analysis were conducted using QGIS, JoinPoint, SaTScan and GeoDa software. Results The average annual reported incidence rate of varicella in Lu'an City from 2005 to 2023 was 34.55/100,000, showing a trend of initial increase followed by a decrease. The peak incidence occurred from October to January of the following year (RR=1.97, LLR=1743.95, P=0.001). Students aged 0 to 19 was the primary affected group. Spatiotemporal scan analysis revealed four types of spatiotemporal clusters, with the cluster in Jin'an District from October 2017 to December 2023 being particularly prominent (RR=2.87，LLR=1734.15，P<0.001). Spatial autocorrelation analysis indicated significant clustering of varicella cases in the main urban area (Moran's I=0.216，Z=4.786，P=0.003). Conclusion The incidence of varicella in Lu'an City exhibits distinct seasonal and spatial clustering, and schools and kindergartens in the main urban area are the key to varicella prevention and control. It is necessary to enhance the monitoring of disease outbreaks during peak periods and in key areas, and to increase the two-dose vaccination rate for varicella in areas with case aggregation and among key populations.

Processing for deodorization is widely used in the production of animal-derived Chinese medicinal materials. In this study, Heracles Neo ultra-fast gas-phase electronic nose combined with chemometrics was employed to analyze the overall odor difference of Cervi Cornu Pantotrichum(focusing on that derived from Cervus nippon Temminck in this study) before and after processing. The results showed that the electronic nose effectively distinguished between the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum. HS-GC-MS was used to identify and quantify the volatile components in the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum, and 35 and 37 volatile components were detected in the medicinal materials and decoction pieces, respectively. The medicinal materials and decoction pieces contained 28 common volatile components contributing to the odor of Cervi Cornu Pantotrichum. The odor activity value(OAV) of each volatile component was calculated based on the olfactory threshold and relative content. The results showed that there were 17 key odor substances such as isovaleraldehyde, 2-methylbutanal, isobutyraldehyde, hexanal, and methanethiol in the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum. All of them had bad odor and were the main source of the odor of Cervi Cornu Pantotrichum. The results of principal component analysis(PCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA) showed that there were significant differences in volatile components between the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum. Based on the thresholds of P<0.05 and Variable Importance in Projection(VIP)>1, 21 differential volatile odor components were screened out. Among them, isopentanol, isovaleraldehyde, 2-methylbutanal, n-nonanal, and dimethylamine were the key differential odor compounds between the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum. The odor compounds and their relative content reduced, and some flavor substances such as esters were produced after processing with wine, which was the main reason for the reduction of the odor after processing of Cervi Cornu Pantotrichum.
Odorants/analysis* ; Electronic Nose ; Gas Chromatography-Mass Spectrometry/methods* ; Animals ; Volatile Organic Compounds/analysis* ; Deer ; Drugs, Chinese Herbal/chemistry*

Viral infectious diseases, characterized by their intricate nature and wide-ranging diversity, pose substantial challenges in the domain of data management. The vast volume of data generated by these diseases, spanning from the molecular mechanisms within cells to large-scale epidemiological patterns, has surpassed the capabilities of traditional analytical methods. In the era of artificial intelligence (AI) and big data, there is an urgent necessity for the optimization of these analytical methods to more effectively handle and utilize the information. Despite the rapid accumulation of data associated with viral infections, the lack of a comprehensive framework for integrating, selecting, and analyzing these datasets has left numerous researchers uncertain about which data to select, how to access it, and how to utilize it most effectively in their research.This review endeavors to fill these gaps by exploring the multifaceted nature of viral infectious diseases and summarizing relevant data across multiple levels, from the molecular details of pathogens to broad epidemiological trends. The scope extends from the micro-scale to the macro-scale, encompassing pathogens, hosts, and vectors. In addition to data summarization, this review thoroughly investigates various dataset sources. It also traces the historical evolution of data collection in the field of viral infectious diseases, highlighting the progress achieved over time. Simultaneously, it evaluates the current limitations that impede data utilization.Furthermore, we propose strategies to surmount these challenges, focusing on the development and application of advanced computational techniques, AI-driven models, and enhanced data integration practices. By providing a comprehensive synthesis of existing knowledge, this review is designed to guide future research and contribute to more informed approaches in the surveillance, prevention, and control of viral infectious diseases, particularly within the context of the expanding big-data landscape.
Big Data ; Humans ; Virus Diseases/virology* ; Artificial Intelligence

OBJECTIVES: To report the development, validation, and findings of the Multi-dimensional Attention Rating Scale (MARS), a self-report tool crafted to evaluate six-dimension attention levels. METHODS: The MARS was developed based on Classical Test Theory (CTT). Totally 202 highly educated healthy adult participants were recruited for reliability and validity tests. Reliability was measured using Cronbach's alpha and test-retest reliability. Structural validity was explored using principal component analysis. Criterion validity was analyzed by correlating MARS scores with the Toronto Hospital Alertness Test (THAT), the Attentional Control Scale (ACS), and the Attention Network Test (ANT). RESULTS: The MARS comprises 12 items spanning six distinct dimensions of attention: focused attention, sustained attention, shifting attention, selective attention, divided attention, and response inhibition.As assessed by six experts, the content validation index (CVI) was 0.95, the Cronbach's alpha for the MARS was 0.78, and the test-retest reliability was 0.81. Four factors were identified (cumulative variance contribution rate 68.79%). The total score of MARS was correlated positively with THAT (r = 0.60, P < 0.01) and ACS (r = 0.78, P < 0.01) and negatively with ANT's reaction time for alerting (r = -0.31, P = 0.049). CONCLUSIONS The MARS can reliably and validly assess six-dimension attention levels in real-world settings and is expected to be a new tool for assessing multi-dimensional attention impairments in different mental disorders.
Humans ; Adult ; Male ; Attention/physiology* ; Female ; Middle Aged ; Reproducibility of Results ; Young Adult ; Psychometrics

OBJECTIVE: To evaluate the anti-hepatocellular carcinoma (HCC) activity of total alkaloids from Gelsemium elegans Benth. (TAG) in vivo and in vitro and to elucidate their potential mechanisms of action through transcriptomic analysis. METHODS: TAG extraction was conducted, and the primary components were quantified using high-performance liquid chromatography (HPLC). The effects of TAG (100, 150, and 200 µg/mL) on various tumor cells, including SMMC-7721, HepG2, H22, CAL27, MCF7, HT29, and HCT116, were assessed. Effects of TAG on HCC proliferation and apoptosis were detected by colony formation assays and cell stainings. Caspase-3, Bcl-2, and Bax protein levels were detected by Western blotting. In vivo, a tumor xenograft model was developed using H22 cells. Totally 40 Kunming mice were randomly assigned to model, cyclophosphamide (20 mg/kg), TAG low-dose (TAG-L, 0.5 mg/kg), and TAG high-dose (TAG-H, 1 mg/kg) groups, with 10 mice in each group. Tumor volume, body weight, and tumor weight were recorded and compared during 14-day treatment. Immune organ index were calculated. Tissue changes were oberseved by hematoxylin and eosin staining and immunohistochemistry. Additionally, transcriptomic and metabolomic analyses, as well as quatitative real-time polymerase chain reaction (RT-qPCR), were performed to detect mRNA and metabolite expressions. RESULTS: HPLC successfully identified the components of TAG extraction. Live cell imaging and analysis, along with cell viability assays, demonstrated that TAG inhibited the proliferation of SMMC-7721, HepG2, H22, CAL27, MCF7, HT29, and HCT116 cells. Colony formation assays, Hoechst 33258 staining, Rhodamine 123 staining, and Western blotting revealed that TAG not only inhibited HCC proliferation but also promoted apoptosis (P<0.05). In vivo experiments showed that TAG inhibited the growth of solid tumors in HCC in mice (P<0.05). Transcriptomic analysis and RT-qPCR indicated that the inhibition of HCC by TAG was associated with the regulation of the key gene CXCL13. CONCLUSION TAG inhibits HCC both in vivo and in vitro, with its inhibitory effect linked to the regulation of the key gene CXCL13.
Animals ; Apoptosis/drug effects* ; Liver Neoplasms/genetics* ; Carcinoma, Hepatocellular/genetics* ; Humans ; Alkaloids/therapeutic use* ; Gelsemium/chemistry* ; Cell Line, Tumor ; Cell Proliferation/drug effects* ; Mice ; Xenograft Model Antitumor Assays

OBJECTIVE: To investigate chronic hepatitis C virus (HCV) infection's effect on gestational liver function, pregnancy and delivery complications, and neonatal development. METHODS: A total of 157 HCV antibody-positive (anti-HCV[+]) and HCV RNA(+) patients (Group C) and 121 anti-HCV(+) and HCV RNA(-) patients (Group B) were included as study participants, while 142 anti-HCV(-) and HCV RNA(-) patients (Group A) were the control group. Data on biochemical indices during pregnancy, pregnancy complications, delivery-related information, and neonatal complications were also collected. RESULTS: Elevated alanine aminotransferase (ALT) rates in Group C during early, middle, and late pregnancy were 59.87%, 43.95%, and 42.04%, respectively-significantly higher than Groups B (26.45%, 15.70%, 10.74%) and A (23.94%, 19.01%, 6.34%) ( P < 0.05). Median ALT levels in Group C were significantly higher than in Groups A and B at all pregnancy stages ( P < 0.05). No significant differences were found in neonatal malformation rates across groups ( P > 0.05). However, neonatal jaundice incidence was significantly greater in Group C (75.16%) compared to Groups A (42.25%) and B (57.02%) ( χ ² = 33.552, P < 0.001). HCV RNA positivity during pregnancy was an independent risk factor for neonatal jaundice ( OR = 2.111, 95% CI 1.242-3.588, P = 0.006). CONCLUSIONS Chronic HCV infection can affect the liver function of pregnant women, but does not increase the pregnancy or delivery complication risks. HCV RNA(+) is an independent risk factor for neonatal jaundice.
Humans ; Female ; Pregnancy ; Adult ; Pregnancy Complications, Infectious/epidemiology* ; Retrospective Studies ; Pregnancy Outcome ; Infant, Newborn ; Viremia/virology* ; Hepatitis C ; Hepacivirus/physiology* ; Hepatitis C, Chronic/virology* ; Young Adult ; Alanine Transaminase/blood*

Objective:To investigate the clinical characteristics of first-episode and recurrent acute hypertriglyceridemic pancreatitis (HTGP).Methods:The retrospective cohort study was con-ducted. The clinical data of 313 patients with HTGP admitted to 26 medical centers in China in the Chinese Acute Pancreatitis Clinical Research Group (CAPCTG)-PERFORM database from November 2020 to December 2021 were collected. There were 219 males and 94 females, aged 38(32,44)years. Of the 313 patients, 193 patients with first-episode HTGP were allocated into the first-episode group and 120 patients with recurrent HTGP were allocated into the recurrent group. Observation indica-tors: (1) propensity score matching and comparison of general data of patients between the two groups after matching; (2) comparison of severity and prognosis in the course of disease within 14 days between the two groups; (3) the association between recurrent HTGP and the risk of persistent organ failure (POF); (4) follow-up. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the independent sample t test. Measurement data with skewed distribution were represented as M( Q1, Q3), and comparison between groups was conducted using the Wilcoxon rank sum test. Count data were expressed as absolute numbers or percentages, and comparison between groups was conducted using the chi-square test. Comparison of ordinal data was conducted using the Wilcoxon rank sum test. The Kaplan-Meier method was used to plot the cumulative recurrence rate curve and Log-Rank test was used for survival analysis. The Logistic regression model was used for multivariate analysis, and continuous variables were converted into categorical variables according to the mean value or common criteria. Propensity score matching was performed by 1∶1 nearest neighbor matching method, with caliper value of 0.02. Paired t test or Wilcoxon rank sum test and McNemar′s test were used for comparison between matched groups. Results:(1) Propensity score matching and comparison of general data of patients between the two groups after matching. Of the 313 patients,208 cases were successfully matched, including 104 cases in the first-episode group and 104 cases in the recurrent group. After propensity score matching, there was no significant difference in demographic characteristics, severity of illness scores and laboratory test between the two groups ( P>0.05). The elimination of gender, acute physiology and chornic health evaluation (APACHE) Ⅱ score, computed tomography severity index score, systemic inflammatory response syndrome score, sequential organ failure assessment score, apolipoprotein E, C-reactive protein, creatinine, lactic acid dehydrogenase, procal-citonin confounding bias ensured comparability between the two groups. (2) Comparison of severity and prognosis in the course of disease within 14 days between the two groups. There were signifi-cant differences in POF and local complications between the first-episode group and the recurrent group ( P<0.05). (3) The association between recurrent HTGP and the risk of POF. Results of uncor-rected univariate analysis showed that there was no association between recurrent HTGP and the risk of POF ( odds ratio=0.78, 95% confidence interval as 0.46-1.30, P>0.05). Results of multivariate analysis after adjusting for covariates such as gender, age, APACHE Ⅱ score, C-reactive protein, triglyceride and total cholesterol showed that compared with first-episode HTGP, recurrent HTGP was associated with a higher risk of POF ( odds ratio=2.22, 95% confidence interval as 1.05-4.71, P<0.05). Results of subgroup analysis showed that age<40 years was associated with an increased risk of POF ( odds ratio=3.31, 95% confidence interval as 1.09-10.08, P<0.05). (4) Follow-up. Twelve of the 313 patients died during hospitalization, including 9 cases in the first-episode group and 3 cases in the recurrent group. The rest of 301 surviving patients, including 184 cases in the first-episode group and 117 cases in the recurrent group, were followed up for 19.2(15.5, 21.9)months. Results of follow-up showed that for 184 survived patients of the first-episode group, 164 cases were followed up and 24 cases experienced recurrence, for 117 survived patients of the recurrent group,29 cases experienced recurrence, showing a significant difference between the two groups ( χ2=4.67, P<0.05). Conclusion:Compared with first-episode HTGP, patients with recurrent HTGP are more prone to POF and local complications, and are more prone to recurrence after discharge. The risk of POF in recurrent HTGP patients is 2.22 times that of those with first-episode, and the risk is higher in patients with age <40 years.

Vascular dementia is a cognitive impairment caused by cerebrovascular disease.Its pathogen-esis is derived from a series of pathological processes such as low cerebral blood perfusion caused by cere-brovascular damage.Microglia is an important part of the human innate immune system.Under the stimu-lation of different microenvironmental signals,microglia can differentiate into Ml type with pro-inflamma-tory effects and M2 type with anti-inflammatory effects,and produce a variety of cytokines with neurotoxic or neuroprotective effects.In recent years,regulating the polarization of microglia and reducing excessive inflammatory response have become important strategies for the treatment of neurodegenerative diseases.By introducing the main signaling pathways related to microglia polarization and the role of microglia po-larization-mediated neuroinflammation in vascular dementia,this paper clarified the important role of mi-croglia polarization balance in the treatment of vascular dementia and provided new ideas for related clini-cal research.

Objective:To investigate the correlation of peripheral blood T lymphocyte subsets with overall survival(OS)and clinical baseline characteristics in mantle cell lymphoma(MCL).Methods:The clinical data of 55 MCL patients who were newly diagnosed in the Department of Hematology,Second Hospital of Shanxi Medical University from January 2012 to July 2022 were analyzed retrospectively.The percentages of T lymphocyte subsets and CD4+/CD8+ratio in peripheral blood were detected by flow cytometry,and their correlation with clinical characteristics of patients were analyzed.Kaplan-Meier method was used for survival analysis and survival curves were drawn.Log-rank test was used for univariate analysis,while Cox proportional hazards model was used for multivariate analysis.Results:The median follow-up was 40(1-68)months,and the median overall survival(OS)was 47 months.Among the 55 patients,30(54.5％)patients had a decrease in peripheral blood CD4+T lymphocyte,while 17(30.9％)patients had a increase in peripheral blood CD8+T lymphocyte,and 20(36.4％)patients had a decrease in CD4+/CD8+ratio.There were no significant correlations between CD4+/CD8+ratio and sex,age,Ki-67,B symptoms,leukocytes,hemoglobin,lymphocytes,platelets,albumin,lactate dehydrogenase(LDH),β2-microglobulin,splenomegaly,bone marrow invasion,primary site and MIPI score.Survival analysis showed that patients with CD4+T cell＞23.3％,CD8+Tcell ≤33.4％and CD4+/CD8+ratio＞0.6 had longer OS(P=0.020,P＜0.001,P＜0.001).Univariate analysis showed that Ki-67＞30％,LDH＞250 U/L,splenomegaly,bone marrow involvement,CD4+T cells 23.3％,CD8+T cells＞33.4％,CD4+/CD8+ratio ≤0.6 were adverse prognostic factors affecting OS of MCL patients.Multivariate analysis showed that CD4+/CD8+ratio ≤0.6(HR=4.382,P=0.005)was an independent adverse prognostic factor for OS of MCL patients.Conclusions:Low CD4+/CD8+ratio is associated with poor prognosis in MCL,and the CD4+/CD8+ratio can be used as an important indicator to evaluate the prognosis risk in MCL patients.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.