ObjectiveTo investigate the mechanisms by which Renshentang treats atherosclerosis （AS） in mice， focusing on the regulation of endothelial inflammatory responses mediated by transient receptor potential vanilloid subtype 1 （TRPV1）. MethodsAn AS model was established in apolipoprotein E knockout （ApoE^-/-） mice fed a high-fat diet. The mice were randomly divided into a simvastatin group （0.02 g·kg^-1·d^-1） and low-， medium-， and high-dose Renshentang groups （1.77， 3.54， 7.08 g·kg^-1·d^-1）， with 12 mice in each group. ApoE^-/- mice were fed a high-fat diet and treated simultaneously. C57BL/6J mice fed a normal diet served as the normal group （n=9）. After continuous administration for 12 weeks， mice were anesthetized and the aortas were collected. Oil Red O staining was used to observe lipid plaque formation in the aorta. Hematoxylin-eosin （HE） staining was performed to examine pathological changes in the aortic root. Immunohistochemistry was used to analyze the levels of pro-inflammatory factors tumor necrosis factor-α （TNF-α） and interleukin-1β （IL-1β）， as well as the expression of TRPV1， phosphorylated phosphoinositide 3-kinase （p-PI3K）， and phosphorylated protein kinase B （p-Akt） in the aortic root. Real-time quantitative polymerase chain reaction （Real-time PCR） was used to detect endothelial nitric oxide synthase （eNOS） mRNA expression in the aorta， and Western blot was used to detect TRPV1 protein expression. ResultsCompared with the normal group， the model group showed a significant increase in aortic plaque formation （P<0.01） and significantly elevated levels of TNF-α and IL-1β in the aortic root （P<0.01）. The expression levels of TRPV1， p-PI3K， and p-Akt were decreased （P<0.05， P<0.01）， and eNOS mRNA expression was reduced （P<0.05， P<0.01）. Compared with the model group， all Renshentang groups significantly reduced aortic plaque formation （P<0.01）， significantly decreased TNF-α and IL-1β levels （P<0.01）， and markedly increased the expression levels of TRPV1， p-PI3K， p-Akt， and eNOS mRNA （P<0.05， P<0.01）. ConclusionRenshentang may inhibit endothelial inflammation and suppress the formation of AS by increasing TRPV1 protein expression and up-regulating the PI3K/Akt/eNOS signaling pathway， which may be one of the molecular mechanisms underlying its therapeutic effect against AS.

ObjectiveTo delineate imaging findings using an imaging platform and investigate the correlation between MRI characteristics of spinal cord atrophy and clinical diagnosis in children with spinal cord injury (SCI). MethodsImaging data of 150 children with SCI admitted to Beijing Bo'ai Hospital, China Rehabilitation Research Center, from January, 2002 to March, 2024 were collected and imported into the imaging platform. The anteroposterior and transverse diameters of the middle part of the spinal cord at the cross-section with the most severe atrophy were measured, and the relevant indicators of the previous normal spinal cord segment were measured as controls; the radiomic features were extracted. Clinical data of the children including gender, age, cause of injury, sensory level, motor level, spinal cord injury level, injury severity and disease course were collected. ResultsSpinal cord atrophy was identified in 81 cases (54%), among which 78 cases (96%) were American Spinal Injury Association Impairment Scale (AIS) grade A and 3 cases (4%) were AIS grade C. The upper boundary of the spinal cord atrophy site strongly correlated with the injury level, motor level and sensory level (r > 0.8, P < 0.001). ConclusionMore than half of children with SCI may develop secondary spinal cord atrophy, the vast majority of whom suffer from complete spinal cord injury; the upper boundary of spinal cord atrophy is correlated with the injury level.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Oral potentially malignant disorders (OPMDs) are a group of oral mucosal diseases with different morphological characteristics that have an increased risk of progressing to oral squamous cell carcinoma (OSCC). Epidemiological studies indicate that approximately 4.67% of the global population may have an OPMD, and meta-analysis results show that the risk of progression to OSCC in patients with OPMD is 2.5 times that of the general population. The progression of an OPMD to OSCC is a complex process driven by risk factors including smoking, alcohol consumption, betel quid chewing, and oral microbiota. It is characterized by intricate interactions among genetic alterations, epigenetic modifications, and dysregulation of the tumor microenvironment. At the molecular level, the intrinsic basis of epithelial carcinogenesis is established by genomic loss of heterozygosity and cascading dysregulation of critical signaling pathways, while crucial external support for malignant transformation is provided by the immunosuppressive microenvironment, including M2 macrophage polarization, immune evasion mediated by programmed death-ligand 1, and the pro-tumorigenic effects of oral microbiota. Although a variety of therapeutic modalities (e.g., pharmacotherapy, surgical treatment, and photodynamic therapy) have been employed for the prevention of OPMD malignant transformation, no universally accepted treatment has been proven to completely eradicate the risk of cancer development at present. In recent years, artificial intelligence technologies have demonstrated promising performance in predicting the malignant transformation risk of OPMD by integrating multi-dimensional clinical, pathological, and molecular data, thereby providing new decision-support tools for advancing individualized risk stratification and precise follow-up management. This review summarizes recent advances in the prevention of OPMD malignant transformation, with the aim of offering a reference for the clinical management of OPMDs.

Objective To investigate the inhibitory effect of long non-coding RNA(lncRNA)GAS5 on mi-croRNA-21(miR-21)in lung cancer cells through phosphatidylinositol 3-kinase(PI3K)/protein kinase B(Akt)/mammalian target of rapamycin(mTOR)signaling pathway on epithalium-mesenchymal transforma-tion and autophagy.Methods Real-time quantitative polymerase chain reaction(qPCR)was used to detect the expression of lncRNA GAS5 in 5 patients with non-small cell lung cancer(NSCLC)and adjacent groups.Dual luciferase reporter gene assay was used to detect the targeting effect of lncRNA GAS5 on miR-21.A549 cells were divided into 5 groups,including pcDNA-null group,pcDNA-GAS5 group,pcDNA-GAS5+mimic group,pcDNA-GAS5+mimic group and pcDNA-GAS5+mimic+BEZ235 group.lncRNA GAS5 and miR-21 expression were detected by qPCR.PI3K,phosphorylated Akt(p-Akt),phosphorylated mTOR(p-mTOR),Beclin1,microtubule-associated protein light chain 3(LC3)-Ⅱ,LC3-Ⅰ,E-cadherin,N-cadherin,Vimentin,Twist1,proliferation associated nuclear antigen(Ki67)and proliferating cell nuclear antigen(PCNA)expres-sion.The cell proliferation activity was measured by 3-(4,5-dimethylthiazole-2-yl)-2,5-diphenyltetrazolium bromide method.Results lncRNA GAS5 expression in NSCLC group was significantly higher than that in ad-jacent group,with statistical significance(P<0.05).Dual luciferase reporter gene assay determined that ln-cRNA GAS5 in A549 cells had a direct targeting effect on miR-21.Compared with pcDNA-null group,cell pro-liferation activity decreased in pcDNA-GAS5 group.lncRNA GAS5,PI3K,p-Akt,p-mTOR,Beclin1,LC3-Ⅱ,N-cadherin,Vimentin,Twist1,Ki67 and PCNA were down-regulated,while miR-21,LC3-Ⅰ and E-cadherin were up-regulated,the difference was statistically significant(P<0.05).Compared with pcDNA-GAS5+mimic group,the cell proliferation activity of pcDNA-GAS5+mimic group was up-regulated.The expressions of PI3K,p-Akt,p-mTOR,Beclin1,LC3-Ⅱ,N-cadherin,Vimentin,Twist1,Ki67,and PCNA were up-regulated,while the expressions of miR-21,LC3-Ⅰ,and E-cadherin were down-regulated,with statistical significance(P<0.05).Compared with pcDNA-GAS5+mimic group,the cell proliferation activity of pcDNA-GAS5+mimic+BEZ235 group was down-regulated.The expressions of PI3K,p-Akt,p-mTOR,Beclin1,LC3-Ⅱ,N-cadherin,Vimentin,Twist1,Ki67 and PCNA were down-regulated,while the expressions of LC3-Ⅰ and E-cad-herin were up-regulated,with statistical significance(P<0.05).Conclusion lncRNA GAS5 inhibits PI3K/Akt/mTOR signaling pathway through miR-21,thereby inhibiting epithelial-mesenchymal transformation and autophagy of lung cancer cells,and reducing cell proliferation activity.

Objective To analyze the risk factors of critically ill patients infected with Acinetobacter bau-mannii(AB)and carbapenem resistant Acinetobacter baumannii(CRAB).Methods From January 2022 to June 2023,the data of Intensive Care Unit(ICU)patients admitted to Second Hospital of Shanxi Medical Uni-versity in Shanxi Province were collected.According to whether they were infected with AB,the patients were divided into an observation group and a control group(98 cases each).The observation group was further di-vided into a carbapenem sensitive Acinetobacter baumannii(CSAB)group(72 cases)and a CRAB group(26 cases).Mann-Whitney U test,chi-square test and other univariate and multivariate binary Logistic regression were used to analyze the risk factors of AB and CRAB infection for critically ill patients.The prognosis was analyzed by Kaplan Meier survival analysis.Results Long stay in ICU,previous use of carbapenem drugs and high Acute Physiology and Health Evaluation(APACHE Ⅱ)score were independent risk factors for AB sus-ceptibility(P＜0.05),while the independent risk factors for CRAB susceptibility were invasive ventilation and delayed surgery(P＜0.01).In addition,CRAB infection,COVID-19 and shock was risk factors for death in critically ill patients,and invasive ventilation,indwelling drainage tube and operation could reduce the risk of death in critically ill patients(P＜0.05).Conclusion ICU stay time,APACHE Ⅱ score,previous use of car-bapenem drugs and invasive ventilation increase the risk of AB and CRAB infection in critically ill patients.In-vasive ventilation,indwelling drainage and early surgery could reduce the risk of death from AB and CRAB in-fection in critically ill patients.

Objective To investigate the prevalence of specific IgE antibodies against Alternaria alternata and Aspergillus fumigatus in serum samples from clinical allergy patients across selected provinces in China.Methods Data on specific IgE antibodies for Alternaria A.and Aspergillus F.were collected from 20 hospital laboratories in 17 cities spanning 11 provinces.The study analyzed the levels of specific IgE and their variations across different provinces and seasons.Results A total of 27 471 cases of Alternaria A.and 32 843 cases of Aspergillus F.specific IgE data were included.The national average positive rate of Alternaria A.IgE was 10.40%,with the highest rate of 22.68%in Jiangsu and the lowest rate of 2.06%in Guangxi.For Aspergillus F.specific IgE,the average positive rate was 4.24%,with Hubei province having the highest rate(7.25%)and Hunan province the lowest(1.23%).The difference in IgE levels for both Alternaria A.and Aspergillus F.among provinces were statistically significant(H=9 955,16 993,all P<0.0001).Among patients,5.85%had Alternaria A.specific IgE levels at grade 3 or above,while only 0.57%had Aspergillus F.specific IgE levels at this level.When examining seasonal variations using data from Liaoning,Hunan and Anhui provinces,significant seasonal changes were observed for both Alternaria A.and Aspergillus F.IgE antibodies(HAlternaria A=347.6,338.0,401.3,HAspergillus F=196.6,133.7,231.7,all P<0.0001).Conclusion The sensitization to Alternaria A.and Aspergillus F.exhibits distinct geographical characteristics and vary significantly with seasons.Given the relatively high IgE levels associated with Alternaria A.,it should be given adequate clinical attention.

Purpose To investigate interhemispheric homotopic functional connectivity in patients with neuropsychological systemic lupus erythematosus(NPSLE)during resting state and its relationship with clinical indicators and neuropsychological scales.Materials and Methods This prospective study enrolled 35 patients with NPSLE and 31 healthy controls(control group)from Taizhou People's Hospital Affiliated to Nanjing Medical University(June 2020 to March 2023).All participants underwent resting state functional MRI and completed neuropsychological assessments including mini-mental state examination,Montreal cognitive assessment,hospital anxiety and depression scale,fatigue scale for motor and cognitive functions,along with laboratory tests(C3,C4,IgA,IgM,IgG).Image preprocessing and voxel-mirrored homotopic connectivity(VMHC)calculations were performed using DPABI V7.0 on Matlab R2013b.Between-group differences in VMHC values were compared,and correlations between VMHC values in significant regions and neuropsychological/clinical data were analyzed.Results The NPSLE group demonstrated significantly lower mini-mental state examination and Montreal cognitive assessment scores compared with those in control group(t=-6.297,-7.001,both P=0.001).Patients with NPSLE exhibited significantly decreased VMHC values in bilateral parahippocampal gyri,precentral gyri,middle frontal gyri,and medial/paracingulate gyri compared with those in control group(family-wise error corrected,voxel-level P<0.001,cluster-level P<0.05).In the NPSLE group,VMHC values in precentral gyri showed positive correlation with IgA levels(r=0.351,P=0.039),while VMHC values in medial/paracingulate gyri positively correlated with IgA(r=0.345,P=0.043)and negatively with C4(r=-0.368,P=0.030).Conclusion Patients with NPSLE demonstrate abnormal interhemispheric homotopic functional connectivity,and the correlation between imaging metrics and clinical data in differential brain regions may facilitate early diagnosis of NPSLE while providing novel insights into the neuropathological mechanisms of cerebral injury.

Objective:To investigate the pathogenetic characteristics of clinical isolates of Streptococcus suis in Henan Province from 2020 to 2023. Methods:Eight clinical isolates of S. suis in Henan Province from 2020 to 2023 were identified using matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) and real-time fluorescence polymerase chain reaction (PCR). Serotype and virulence genes were detected by the serum agglutination test and PCR, and antibiotic susceptibility was evaluated using the microbroth dilution method. Multilocus sequence typing (MLST), minimum core genome (MCG), identification of antibiotic resistance genes, and core genome single nucleotide polymorphism (cgSNP) analysis were conducted using whole genome sequencing. Results:The results showed that eight S. suis strains isolated from humans were mainly serotype 2 (75.0%), while the rest were serotype 14 (25.0%). ST353 (62.5%) was the predominant genotype, followed by ST1 (25.0%) and ST7 (12.5%). All isolates belonged to the MCG1 group. The virulence genotypes of these isolates were primarily mrp(NA2)/ sly+/ ef+/ gapdh+(75.0%), while the remaining were mrp(EU)/ sly+/ ef+/ gapdh+(25.0%). These isolates carried tetracycline, macrolide, lincosamide and aminoglycoside resistance genes, and their resistance rates to tetracycline, erythromycin and clindamycin were 100.0%, 87.5% and 87.5%, respectively, and 62.5% strains were intermediate-resistant to penicillin. The cgSNP analysis indicated that these isolates were closer to the isolates from Guangdong, Zhejiang and Guangxi Provinces, with five ST353 strains and one ST7 strain belonging to Clade Ⅰ, and two ST1 strains belonging to Clade Ⅱ. Conclusion:The human isolates of S. suis in Henan Province are mainly ST353, harboring multiple virulence and antibiotic resistance genes.

The accurate prediction and evaluation of lymphatic vascular invasion(LVI)are extremely important for the prog-nosis of breast cancer patients.Postoperative histopathology has certain limitations in predicting lymphatic vascular invasion,and mag-netic resonance imaging(MRI)technology,with its high resolution and multi-parameter imaging characteristics,provides a more effec-tive non-invasive means for the prediction and evaluation of lymphatic vascular invasion.With the continuous development of the re-search field of radiomics,researchers have constructed a more accurate prediction model of lymphatic vascular invasion by deeply ana-lyzing a large number of radiological features shown in MRI images and combining with the clinical data of patients.This article re-views the recent research progress of MRI in the field of predicting lymphatic vascular invasion of breast cancer.The purpose of this article is to provide a scientific basis for the clinical treatment of breast cancer patients through accurate identification of lymphatic vascular invasion status before surgery,and to assist clinicians in formulating more personalized treatment plans for patients.