Objective To analyze the epidemiological characteristics of hand, foot, and mouth disease (HFMD) in Shanxi Province from 2012 to 2024, and predict the incidence trend for 2025, and to provide a scientific basis for the formulation of prevention and control strategies. Methods Based on the surveillance data of HFMD in Shanxi Province from 2012 to 2024, the spatial and temporal distribution characteristics and time trends of the disease were analyzed. The ARIMA model was constructed and used to predict the incidence trend in 2025. Results From 2012 to 2024, a total of 254 028 HFMD cases were reported in Shanxi Province, with an average annual incidence rate of 54.17 per 100 000 population, a severe case rate of 0.56%, and a case fatality rate (CFR) of 12.60 per 100 000 population. Joinpoint regression analysis showed that the incidence rate, severe case rate, mortality rate, and case fatality rate all presented a downward trend. The epidemic exhibited obvious seasonal distribution characteristics, with the peak period from April to November, and two incidence peaks in June-July and October-November. The male-to-female incidence ratio was 1.41:1. Children aged 1-5 years accounted for 89.24% of the total cases, among which scattered children (58.48%) and nursery children (33.54%) were the high-risk groups. Linfen City (96.06 /100 000) and Taiyuan City (88.54 /100 000) had relatively high incidence rates. After 2017, the proportion of enterovirus A71 (EV-A71) decreased, while coxsackievirus A16 (Cox-A16) and other enteroviruses became the main epidemic strains. The ARIMA(1,0,1)(0,1,1)₁₂ model predicted that the incidence of HFMD in 2025 would remain at the level of 2023-2024, and the dual-peak characteristic would continue. Conclusion From 2012 to 2024, the overall HFMD epidemic in Shanxi Province generally shows a significant downward trend. The high-risk population includes scattered children and nursery children under 5 years old, with high-incidence areas concentrated in the central and southern regions, requiring focused attention. The seasonal ARIMA model can effectively fit the evolutionary trend of HFMD incidence in Shanxi Province and possesses short-term predictive capability.

ObjectiveMigraine is a leading neurological disorder and the fourth most common cause of years lived with disability worldwide, affecting nearly 116 million individuals. Although pharmacological treatments are available, their efficacy is often limited by side effects and variable response rates. Repetitive transcranial magnetic stimulation (rTMS) over the dorsolateral prefrontal cortex (DLPFC) offers a safe, non-invasive alternative for migraine management. However, the neurophysiological mechanisms, particularly how rTMS modulates local cortical excitability and distributed pain-related circuits, remain poorly understood. Elucidating these mechanisms is essential for optimizing treatment protocols and improving clinical outcomes. MethodsThis study employed concurrent transcranial magnetic stimulation and electroencephalography (TMS-EEG) to investigate neuroplastic and neurocircuitry mechanisms of DLPFC-rTMS in migraine. Study 1 compared 30 migraineurs and 28 healthy controls to identify abnormalities in TMS-evoked potentials (TEPs) and significant current density (SCD) within sensory-discriminative regions including the primary somatosensory cortex (S1) and posterior insula (pINS), cognitive-affective regions including the anterior insula (aINS) and midcingulate cortex (MCC), and a descending modulatory region, the periaqueductal gray (PAG). Study 2 used a single-blind, crossover, sham-controlled design in 34 healthy participants. Each participant received both active (10 Hz, 80% RMT, 1 500 pulses) and sham DLPFC-rTMS in counterbalanced order. TMS-EEG and cold pain tolerance were assessed before and after each session. ResultsIn Study 1, migraineurs showed a significantly less negative N120 amplitude compared to healthy controls (P=0.027, Cohen’s d=0.60), indicating local intracortical disinhibition. No group differences were observed for N40, P60, or P180 components. At the source level, migraineurs exhibited significantly higher SCD in the S1, pINS, aINS, and MCC (allQ<0.05), but not in the ventroposterior thalamus (vpTHAL), mediodorsal thalamus (mdTHAL), or PAG. In Study 2, active rTMS significantly reduced SCD from pre- to post-stimulation in the S1, aINS, and MCC (all Q<0.05). Sham stimulation also reduced SCD in the S1 (Q<0.05) but not in the aINS or MCC. Although no significant group-level analgesic effect was observed between active and sham conditions (P=0.107), correlation analyses revealed that greater SCD reductions in the S1 and MCC were significantly associated with higher post-rTMS pain tolerance (R=-0.487 and -0.495, both Q<0.01) and larger improvements in pain tolerance(R=-0.487 and -0.451, both Q<0.05). No such correlations were found following sham stimulation, suggesting that the behavioural relevance of neural changes is specific to active rTMS. ConclusionThis study provides novel evidence that migraineurs exhibit both local neuroplastic abnormalities (reduced N120 amplitude) and hyperactivity in key pain-processing regions (S1, pINS, aINS, MCC). A single session of DLPFC-rTMS reduced hyperactivity in the aINS, MCC, and S1. Notably, greater reductions in the S1 and MCC were associated with improved pain tolerance. These findings identify distinct cortical circuitries, particularly within the cognitive-affective pain network, that may serve as potential biomarkers for optimizing rTMS treatment in migraine and other chronic pain conditions. Future studies should validate these results in patient populations experiencing spontaneous migraine attacks and explore multi-session or accelerated rTMS protocols.

ObjectiveTo analyze the characteristics of chromosomal variations and disease spectrum in patients with lymphohematopoietic system diseases in Hunan region. MethodsA cross-sectional study was conducted， collecting clinical data of 548 patients with lymphohematopoietic system diseases who underwent bone marrow chromosome karyotype analysis at Hunan Provincial People's Hospital from January 2021 to July 2025. G-banding technique was used to detect bone marrow chromosome karyotypes， and chromosome number and structural abnormalities were determined in accordance with the International System for Human Cytogenomic Nomenclature （ISCN） 2024. Retrospective statistical analysis was performed to correlate karyotype abnormality data with disease phenotypes such as myelodysplastic syndrome and acute/chronic leukemia. Classification of the types， frequencies， and reproducibility of variations was calculated to clarify the correlation between karyotypes and disease phenotypes. ResultsAmong the 548 patients who completed bone marrow chromosome karyotype analysis， 127 had chromosomal abnormalities （84 males and 43 females， mean age 58.26 years）. Among patients with autosomal abnormalities， 64 cases were detected with translocations （a total of 67 mutations）， with t（9；22）（q34；q11.2） （22 cases） and t（15；17）（q24；q21） （10 cases） as high-frequency translocations. Chromosomes 9， 15， etc. were high-frequency variant chromosomes， and 29 cases had complex mutations such as deletions/duplications， with +8 being the common type. There were 27 cases of sex chromosome abnormalities： 7 cases of X chromosome abnormalities （2 cases of chimerism） and 20 cases of Y chromosome deletions （7 cases of 45，X，-Y/46，XY chimerism）. Karyotype-disease correlation showed that t（9；22） was detected 9 times in acute leukemia and 8 times in chronic myeloid leukemia； +8， -Y， etc. were associated with multiple types of hematological diseases， and the same karyotype could correspond to multiple disease phenotypes. ConclusionThe high-frequency chromosomal abnormalities， karyotype-disease correlations， and high-frequency NGS genes in patients with lymphohematopoietic system diseases， providing a basis for their precise diagnosis and treatment.

The innate immune system can be boosted in response to subsequent triggers by pre-exposure to microbes or microbial products, known as “trained immunity”. Compared to classical immune memory, innate trained immunity has several different features. Firstly, the molecules involved in trained immunity differ from those involved in classical immune memory. Innate trained immunity mainly involves innate immune cells (e.g., myeloid immune cells, natural killer cells, innate lymphoid cells) and their effector molecules (e.g., pattern recognition receptor (PRR), various cytokines), as well as some kinds of non-immune cells (e.g., microglial cells). Secondly, the increased responsiveness to secondary stimuli during innate trained immunity is not specific to a particular pathogen, but influences epigenetic reprogramming in the cell through signaling pathways, leading to the sustained changes in genes transcriptional process, which ultimately affects cellular physiology without permanent genetic changes (e.g., mutations or recombination). Finally, innate trained immunity relies on an altered functional state of innate immune cells that could persist for weeks to months after initial stimulus removal. An appropriate inducer could induce trained immunity in innate lymphocytes, such as exogenous stimulants (including vaccines) and endogenous stimulants, which was firstly discovered in bone marrow derived immune cells. However, mature bone marrow derived immune cells are short-lived cells, that may not be able to transmit memory phenotypes to their offspring and provide long-term protection. Therefore, trained immunity is more likely to be relied on long-lived cells, such as epithelial stem cells, mesenchymal stromal cells and non-immune cells such as fibroblasts. Epigenetic reprogramming is one of the key molecular mechanisms that induces trained immunity, including DNA modifications, non-coding RNAs, histone modifications and chromatin remodeling. In addition to epigenetic reprogramming, different cellular metabolic pathways are involved in the regulation of innate trained immunity, including aerobic glycolysis, glutamine catabolism, cholesterol metabolism and fatty acid synthesis, through a series of intracellular cascade responses triggered by the recognition of PRR specific ligands. In the view of evolutionary, trained immunity is beneficial in enhancing protection against secondary infections with an induction in the evolutionary protective process against infections. Therefore, innate trained immunity plays an important role in therapy against diseases such as tumors and infections, which has signature therapeutic effects in these diseases. In organ transplantation, trained immunity has been associated with acute rejection, which prolongs the survival of allografts. However, trained immunity is not always protective but pathological in some cases, and dysregulated trained immunity contributes to the development of inflammatory and autoimmune diseases. Trained immunity provides a novel form of immune memory, but when inappropriately activated, may lead to an attack on tissues, causing autoinflammation. In autoimmune diseases such as rheumatoid arthritis and atherosclerosis, trained immunity may lead to enhance inflammation and tissue lesion in diseased regions. In Alzheimer’s disease and Parkinson’s disease, trained immunity may lead to over-activation of microglial cells, triggering neuroinflammation even nerve injury. This paper summarizes the basis and mechanisms of innate trained immunity, including the different cell types involved, the impacts on diseases and the effects as a therapeutic strategy to provide novel ideas for different diseases.

Objective To investigate the impacts of long non-coding RNA SNHG14(lncRNA SNHG14)on proliferation,apoptosis,and inflammatory response of alveolar epithelial cells infected with Streptococcus pneumoniae by targeting the miR-17-5p/forkhead box K2(FOXK2)axis.Methods Alveolar epithelial cells A549 were divided into control group,infection group,sh-NC group,sh-SNHG14 group,sh-SNHG14+inhibi-tor NC group,and sh-SNHG14+miR-17-5p inhibitor group.The mRNA expressions of lncRNA SNHG14,miR-17-5p and FOXK2 were detected by RT-qPCR,the proliferation of A549 cells was detected by CCK-8 kit,and the apoptosis of A549 cells was detected by flow cytometry.The levels of IL-1β,TNF-α and IL-6 were de-tected by ELISA.Dual luciferase reporter gene assay was used to detect the binding of lncRNA SNHG14 to miR-17-5p,miR-17-5p and FOXK2.Results Compared with control group,lncRNA SNHG14,FOXK2 mR-NA expression,cell apoptosis rate,IL-6,TNF-α and IL-1β levels were increased in infection group,while miR-17-5p level and absorbance(A)value were decreased,with statistical significance(P＜0.05).LncRNA SNHG14 and FOXK2 mRNA expression,cell apoptosis rate,IL-6,TNF-α and IL-1β levels in sh-SNHG14 group were lower than those in infection group and sh-NC group,while miR-17-5p expression level and A val-ue were higher than those in infection group and sh-NC group,and the differences were statistically significant(P＜0.05).FOXK2 mRNA expression,apoptosis rate,IL-6,TNF-α and IL-1β levels of sh-SNHG14+miR-17-5p inhibitor group were all increased compared with sh-SNHG14+miR-17-5p inhibitor group,and the miR-17-5p expression and A value were decreased compared with sh-SNHG14+inhibitor NC group,the differences were statistically significant(P＜0.05).Dual luciferase reporter gene test results showed that lncRNA SNHG14 and miR-17-5p,as well as miR-17-5p and FOXK2 had a targeting relationship.Conclusion Interfer-ing the expression of lncRNA SNHG14 can up-regulate the expression of miR-17-5p and down-regulate the expression of FOXK2,thus inhibiting the apoptosis and inflammatory response of alveolar epithelial cells in-fected with Streptococcus pneumoniae infected cells and promoting the cell proliferation.

Objective To explore the acceptability of routine biochemical test results for serum samples with varying degrees of chylous high triglyceride(TG).Methods Blood samples of 69 patients with different degrees of lipids were collected,including 33 patients with mild to moderate lipids(1.7 mmol/L≤TG<5.6 mmol/L)and 36 patients with severe lipids(TG≥5.6 mmol/L).Twenty-nine biochemical tests were detected before and after high-speed centrifugation.The result acceptability before high speed centrifugation of serum was compared with the results after high speed centrifugation as the gold standard[TG and total cholesterol(TC)before centrifugation].The acceptable criteria were subject to the following three conditions at the same time.Firstly,correlation coefficient(R2)was greater than or equal to 0.95.Secondly,the slope of linear re-gression equation was 1.00±0.05.Thirdly,for the same index,the number of samples whose result bias be-fore and after centrifugation was less than 1/2 total allowable error(TEa)in more than 90%of the total sam-ple numbers.Results Firstly,in the mild to moderate lipemia group,22 tests met the criteria,7 tests did not,including total protein(TP),albumin(ALB),TG,aspartate aminotransferase(AST),carbon dioxide(CO2),α-L-fucosidase(AFU),lactate dehydrogenase(LDH)(bias<10%),and the coincidence rate was 75.9%.In the severe lipemia group,12 tests met the criteria,17 tests did not,including pre-albumin(PA),AFU,γ-glu-tamyltransferase(γ-GT),LDH,AST,TC,direct bilirubin(DBIL),CO2,5'-nucleotidase(5'-NT),small and low-density lipoprotein cholesterol(sd-LDL-C),high density lipoprotein cholesterol(HDL-C),low-density lipoprotein cholesterol(LDL-C),adenosine deaminase(ADA),cystatin C(CysC),glycosylated albumin(GA),total bilirubin(TBIL)(bias>10%),the coincidence rate was 41.4%,and there was a statistically sig-nificant difference in the coincidence rate between the two groups(P<0.05).Secondly,there was no statisti-cally significant difference in the acceptability of results between continuous monitoring method and endpoint method detection methods(P>0.05).Conclusion Most test results of direct determination with mild or moderate lipemia samples are acceptable,and the bias of unacceptable tests is small(<10%),so it is recom-mended to issue a test report without further sample treatment.However,due to the large number of unacceptable tests and larger bias(>10%),severe lipemia samples should be determined after high-speed centrifugation.

Objective To explore the clinical effect of cold treatment of replacement fluid in continuous blood purification(CBP)of patients with heat stroke.Methods Clinical data of 46 patients with heat stroke who were treated with CBP in Hainan Hospital of PLA General Hospital from July 2018 to September 2022 were retrospectively analyzed.The patients were assigned to control group(23 cases,conventional treatment for heat stroke and CBP with room temperature replacement fluid)and observation group(23 cases,conventional treatment for heat stroke and CBP with cooling replacement fluid).The body temperatures were compared between the two groups before treatment and 30 min,2 h,6 h,12 h and 24 h after treatment.The prothrombin activity(PTA),activated partial thromboplastin time(APTT),D-dimer(D-D),fibrinogen(FIB)and platelet count(PLT)before treatment and at 24 h(T1),3 d(T2)and 7 d(T3)after treatment,as well as the Acute Physiology and Chronic Health Evaluation Ⅱ(APACHEⅡ)score at 7 d after treatment were also compared between the two groups.Results There was no significant difference in temperature or coagulation function between the two groups before treatment(P>0.05).The temperature of the observation group was significantly different from that of the control group at 2 h,6h and 12h after treatment(P<0.05).After treatment,the levels of PTA,FIB and PLT in the observation group at T1,T2 and T3 were higher than those in the control group,while the level of D-D in the observation group was lower than that in the control group,and the APPT at T1 and T2 was significantly shorter than that in the control group(P<0.05).PTA,APPT,D-D,FIB and PLT of the two groups were improved after treatment(P<0.05).Conclusion The cold treatment of replacement fluid can quickly shorten the cooling time of patients with heat stroke during CBP,and significantly improve coagulation function.It is worthy of clinical promotion so as to improve the progrosis of patients with heat strok.

Clinically,the incidence of chronic musculoskeletal pain is relatively high,and it is one of the main causes of disability in Chinese residents,causing a heavy health and economic burden to the society.There are limited treatments available for patients who are ineffective to conservative treatment and whose disorders are inoperable.Recently,transcatheter embolization(TCE)has become a potential treatment method for such patients.Chronic musculoskeletal pain,such as knee osteoarthritis,adhesive capsulitis of the shoulder(frozen shoulder),tendinopathy,and neck/back muscle pain,can induce pathological neovascularization and inflammatory reactions.TCE of abnormal neovasculature can improve patient's pain and limb function.So far,there are relatively few studies on the TCE of chronic musculoskeletal pain in China,and there are no large-scale high-quality clinical studies abroad.This paper aims to make a comprehensive review about the TCE for chronic musculoskeletal pain,focusing on its basic principles,operative techniques,and latest clinical achievements.

Numerous c-mesenchymal-epithelial transition(c-MET)inhibitors have been reported as potential anticancer agents.However,most fail to enter clinical trials owing to poor efficacy or drug resistance.To date,the scaffold-based chemical space of small-molecule c-MET inhibitors has not been analyzed.In this study,we constructed the largest c-MET dataset,which included 2,278 molecules with different struc-tures,by inhibiting the half maximal inhibitory concentration(IC50)of kinase activity.No significant differences in drug-like properties were observed between active molecules(1,228)and inactive mol-ecules(1,050),including chemical space coverage,physicochemical properties,and absorption,distri-bution,metabolism,excretion,and toxicity(ADMET)profiles.The higher chemical diversity of the active molecules was downscaled using t-distributed stochastic neighbor embedding(t-SNE)high-dimensional data.Further clustering and chemical space networks(CSNs)analyses revealed commonly used scaffolds for c-MET inhibitors,such as M5,M7,and M8.Activity cliffs and structural alerts were used to reveal"dead ends"and"safe bets"for c-MET,as well as dominant structural fragments consisting of pyr-idazinones,triazoles,and pyrazines.Finally,the decision tree model precisely indicated the key structural features required to constitute active c-MET inhibitor molecules,including at least three aromatic het-erocycles,five aromatic nitrogen atoms,and eight nitrogen-oxygen atoms.Overall,our analyses revealed potential structure-activity relationship(SAR)patterns for c-MET inhibitors,which can inform the screening of new compounds and guide future optimization efforts.

Objective:To investigate the efficacy of fibrosis-4 index (FIB-4), NAFLD fibrosis score (NFS), aspartate aminotransferase to platelet count ratio (APRI), liver stiffness value (LSM), and Agile 3+ score and their combined model in predicting advanced-stage liver fibrosis in patients with chronic hepatitis B (CHB) combined with metabolic-associated fatty liver disease (MAFLD).Methods:A multicenter retrospective cohort study was conducted on the BMOVE population.Nine hundred twenty CHB cases combined with MAFLD who underwent liver biopsy at seven medical centers in China from April 2006 to December 2023 were included. The patients were divided into advanced-stage liver fibrosis (159 cases) and non-advanced-stage liver fibrosis (761 cases) according to the Scheuer's scoring system.The area under the receiver operating characteristic curve (AUROC), decision curve, and calibration curve analysis were used to evaluate the efficacy of the firbrosis-4 index (FIB-4) score, NFS score, APRI index, LSM, and Agile 3+ score and their combined model in predicting advanced-stage fibrosis. The liver fibrosis grade of all patients was diagnosed by liver biopsy. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of each scoring model and combined model, as well as the proportion of correctly classified patients, were calculated based on different cutoff values.Results:AUROC analysis showed that Agile 3+ (0.814, 95% CI: 0.787-0.838) and LSM (0.805, 95% CI: 0.778-0.829) had similar accuracy and were superior to FIB-4 (0.721, 95% CI: 0.691-0.749), NFS (0.687, 95% CI: 0.656-0.716) and APRI ( 0.689, 95% CI: 0.658-0.718); however, HBV DNA level and HBV e antigen status had no effect on this outcome. Decision curve analysis showed that interventions based on LSM and Agile 3+ had provided higher net benefits compared with serological scores. Calibration curves showed that Agile 3+ had better predicitive accuracy than all other models. Agile 3+ had the highest PPV (0.54), minimal uncertainty interval (11.6%), and the highest proportion of correctly classified patients (76%); followed by LSM (PPV: 0.43, uncertainty interval: 15.5%, correct classification rate: 66%), and FIB-4 (PPV: 0.42, uncertainty interval: 26.1%, correct classification rate: 62.6%) in terms of identifying advanced-stage liver fibrosis. Combined model analysis demonstrated that FIB-4 combined with Agile 3+ had improved the correct classification rate and reduced the proportion of missed patients compared with FIB-4 combined with LSM. Conclusion:The Agile 3+ score is superior than LSM, FIB-4, NFS, and APRI index at identifying advanced-stage fibrosis in patients with CHB combined with MAFLD. This study supports the use of FIB-4 index combined with Agile 3+ for risk stratification in patients with CHB combined with MAFLD.