Objective: To investigate the current status of latent tuberculosis infection (LTBI) among freshmen in junior and senior high schools in Lanzhou, so as to provide scientific basis for improving the tuberculosis prevention and control strategy in schools. Methods: The screening results of 74 516 freshmen in senior and boarding junior high schools in Lanzhou during 2023 and 2024 were collected. The Chi square test and multivariate Logistic regression model were applied to analyze LTBI level, strongly positive risk for tuberculin skin test (TST) and related factors of the freshmen. Results: During 2023 and 2024, the screening rate of tuberculosis among freshmen in senior and boarding junior high schools in Lanzhou was 93.45%, of which the positive rate for TST was 5.71%, the infection rate for LTBI was 3.80%, and the strongly positive rate for TST was 1.24%. There were statistically significant differences in the screening rate of tuberculosis among freshmen in different years, grades, regions, school types and districts ( χ 2=5.34, 2 463.88, 3 516.13, 132.34, 4 436.56, all P <0.05). Multivariate Logistic regression analysis showed that senior high schools ( OR =1.62, 2.18) and urban areas ( OR =2.08, 3.07 ) were all related factors for LTBI and strong positivity for TST among freshmen; schools located in Xigu District, Honggu District, Yongdeng County, Yuzhong County, and Lanzhou New Area ( OR =3.57, 5.67, 9.12, 3.70, 3.64) were related factors of strong positivity for TST among freshmen (all P <0.05). Conclusions The LTBI level among freshmen in senior and boarding junior high schools in Lanzhou is relatively low. Grades and regions are related factors for LTBI and strong positivity for TST.

The inflammatory microenvironment is closely associated with the initiation and progression of osteoarthritis （OA）， specifically manifesting as macrophage activation， dysregulation of inflammatory cytokines， and redox imbalance. Following an overview of the pathological characteristics of the OA inflammatory microenvironment， this paper reviews the research progress on the mechanism of traditional Chinese medicine （TCM） intervening in OA by modulating the inflammatory microenvironment. It has been found that TCM monomers/active ingredients （such as total alkaloids from Strychnos nux-vomica ， quercetin， triptolide， etc.）， herb pairs （e.g. Angelica pubescens - Gentiana macrophylla ， Carthami Flos-Lycopodii Herba）， and TCM formulas （such as Zhuanggu jianxi formula， Duhuo jisheng decoction and Rongjin niantong formula， etc.） can inhibit macrophage activation， reduce the release of proinflammatory cytokines and the generation of reactive oxygen species by inhibiting multiple signaling pathways， including nuclear factor-κB， Wnt/ β -catenin， and mitogen-activated protein kinase， thereby alleviating the articular inflammatory microenvironment， restoring local joint homeostasis， and slowing the progression of OA.

ObjectiveHistorically documented Zhejiang Atractylodis Macrocephalae Rhizoma（Baizhu） possesses premium characteristics such as phoenix-like head and crane-like neck， pronounced sweetness， and fragrant aroma. However， its current market circulation is low， and the processed products with Zhejiang-style characteristics are at the risk of being lost. This study aims to preserve the ancient Zhejiang-style processing techniques and evaluate them using modern scientific methods. MethodsMultidimensional intelligent sensory evaluation was used to digitally characterize the "quality-structure" of the external appearance of nine-steamed and nine-processed Baizhu medicinal materials（intermediate processed products） and the "odor-taste" of the internal quality of its decoction pieces（slices）， and the appearance parameters were digitally characterized by colorimeter， texture analyzer， electronic nose and electronic tongue， the chemical composition was analyzed via ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS）. Then， cluster analysis on the differences in odor between the medicinal materials（intermediate processed products） and decoction pieces（slices） of nine-steamed and nine-processed Baizhu was conducted， as well as the differences in taste between water-soluble and alcohol-soluble extracts of the decoction pieces（slices）， and the correlation analysis of chroma value-alcohol-soluble extract content-component response value. ResultsThe nine-steamed and nine-processed Baizhu had a dark brown to black epidermis， a brownish-yellow to brownish-gray cross-section， a slightly tough texture， a faint odor， and a slightly sweet， bitter and pungent taste. Texture analyzer measurements revealed minimal adhesion and maximum recovery in the middle section of the characteristic processed Baizhu， consistent with the processing endpoint of thorough steaming and cooking. The head section showed the highest internal hardness， elasticity and chewiness， indicating a denser texture in this area. The electronic nose sensor could clearly distinguish the difference between the medicinal materials and its decoction pieces， with a more significant clustering effect at 60 ℃ for 30 minutes compared to ambient temperature headspace for 2 hours， highlighting the significant impact of the baking degree before slicing on the quality. The electronic tongue taste signal map clearly distinguished the differences between water-soluble and alcohol-soluble extracts of nine-steamed and nine-processed Baizhu decoction pieces， and the addition of auxiliary materials during processing could enhance its alcohol-soluble extract content. A total of 82 chemical components were identified in the characteristic processed Baizhu. After processing， the contents of 58 components increased， while 24 components decreased. Correlation analysis revealed significant negative correlations（P<0.01） between ethanol-soluble extract content and colorimetric values of brightness（L^*）， yellow-bule value（b^*）， and total color difference（E^*_ab）. E^*_ab showed marked negative correlations（P<0.05） with the response values of isochlorogenic acid A and C. ConclusionThis study establishes a modern intelligent sensory evaluation model for multidimensional holographic characterization of nine-steamed and nine-processed Baizhu， clarifying the correlation between increased isochlorogenic acid content and the visual color appearance after different steaming cycles， as well as its intrinsic alcohol-soluble extracts. This provides a reference for quality evaluation and processing standards of the Zhejiang-style characteristic processed products.

Background: Disorders of the blood-brain barrier (BBB) arising from diabetes mellitus are closely related to diabetic encephalopathy. Previous research has suggested that neuron-glia antigen 2 (NG2)-glia plays a key role in maintaining the integrity of the BBB. However, the mechanism by which NG2-glia regulates the diabetic BBB remains unclear. Methods: Type 2 diabetes mellitus (T2DM) db/db mice and db/m mice were used. Evans-Blue BBB permeability tests and transmission electron microscopy techniques were applied. Tight junction proteins were assessed by immunofluorescence and transmission electron microscopy. NG2-glia number and signaling pathways were evaluated by immunofluorescence. Detection of matrix metalloproteinase-9 (MMP-9) in serum was performed using enzyme-linked immunosorbent assay (ELISA). Results: In T2DM db/db mice, BBB permeability in the hippocampus significantly increased from 16 weeks of age, and the structure of tight junction proteins changed. The number of NG2-glia in the hippocampus of db/db mice increased around microvessels from 12 weeks of age. Concurrently, the expression of MMP-9 increased in the hippocampus with no change in serum. Sixteen- week-old db/db mice showed activation of the Wnt/β-catenin signaling in hippocampal NG2-glia. Treatment with XAV-939 improved structural and functional changes in the hippocampal BBB and reduced MMP-9 secretion by hippocampal NG2-glia in db/db mice. It was also found that the upregulation of β-catenin protein in NG2-glia in the hippocampus of 16-week-old db/db mice was significantly alleviated by treatment with XAV-939. Conclusion The results indicate that NG2-glia can lead to structural and functional disruption of the diabetic BBB by activating Wnt/β-catenin signaling, upregulating MMP-9, and degrading tight junction proteins.

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.

Objective This study reports on the obligatory parasitism of water mites Arrenurus sp. on Anopheles messeae at the Manzhouli Port, Inner Mongolia, China. Methods Duing July 2024, a survey on the mosquito diversity was conducted at the Manzhouli Port. Captured mosquitoes and their ectoparasites were identified to species level. Results A total of 1840 adult mosquitoes were collected, representing species from three genera: Culex(Cx. modestus, Cx. pipiens pallens), Aedes(Ae. dorsalis, Ae. flavidorsalis, Ae. flavescens), and Anopheles (An. messeae). Among all the mosqutioes specimens,3 out of 150 captured An. messeae were found to carry ectoparasitic mites, with number of 2,4,27 mites separately. Morphological and molecular identification reached the same result as water mites(Hydrachnidiae, Hydracrina). COI gene sequence showed 94% similarity with the closest species Arrenurus truncatellus. Conlusions Literature review suggests water mites are host-specific parasitism of mosquito species and herein with the first record of Arrenurus sp. parasiting on An. Messeae in the most high-latitude region globally.

OBJECTIVE To evaluate the cost-effectiveness of brivaracetam （BRV） versus perampanel （PER） as add-on therapy for drug-resistant focal epilepsy in adults from the perspective of the Chinese healthcare system.METHODS A Markov model was established to simulate the progression of drug-resistant focal epilepsy in adults， with a simulation cycle of 5 months， a time horizon of 44 years， and a discount rate of 4.5%. Clinical data required for the model were derived from the phase Ⅲ clinical trial of BRV and a post hoc analysis of PER； cost data and utility data were obtained from Yaozh and related literature. The willingness-to-pay （WTP） threshold was set at twice China’s 2025 per capita gross domestic product （GDP） [199 330 yuan per quality-adjusted life year （QALY）]， and a cost-effectiveness analysis was adopted to compare the cost-effectiveness of the regimens. One-way sensitivity analysis and probabilistic sensitivity analysis were performed to confirm the stability of the base-case analysis conclusions.RESULTS The incremental cost-effectiveness ratio （ICER） of BRV 50 mg/d as an add-on therapy versus PER 8 mg/d was 44 823.08 yuan/QALY， which was below the WTP threshold； the ICER of BRV 200 mg/d versus PER 12 mg/d was 238 783.00 yuan/QALY， which was above the WTP threshold. In the one-way sensitivity analysis， the direct medical cost of seizures ≥53 times/year and the health utility value of a seizure-free state per year had a relatively large impact on the two ICER results mentioned above， respectively. Probabilistic sensitivity analysis indicated that the above results were robust.CONCLUSIONS For the selection of add-on therapy for drug-resistant focal epilepsy in adults in China， when twice China’s per capita GDP is used as the WTP threshold， BRV 50 mg/d has a cost-effectiveness advantage over PER 8 mg/d， whereas BRV 200 mg/d not have a cost-effectiveness advantage over PER 12 mg/d.

ObjectiveTo investigate the mechanism by which Sini San （SNS） treats liver fibrosis through regulating the polarization of intrahepatic Kupffer cells. MethodsSixty SPF-grade male Balb/c mice were randomized into blank control， model， silymarin （0.2 g·kg^-1）， and low-， medium-， and high-dose （2.93， 5.85， 11.70 g·kg^-1， respectively） SNS groups. A mouse model of liver fibrosis was induced by intraperitoneal injection of CCl₄. After 5 weeks of administration， the body mass， liver pathological changes ［Hematoxylin and Eosin （HE）， Masson， and Sirius red staining］， serum biochemical indicators ［alkaline phosphatase （ALP）， aspartate aminotransferase （AST）， and alanine aminotransferase （ALT）］， liver fibrosis markers ［procollagen type Ⅲ （PCⅢ）， laminin （LN）， and hyaluronic acid （HA）］， inflammatory cytokines ［interleukin-6 （IL-6）， tumor necrosis factor-α （TNF-α）， and interleukin-10 （IL-10）］， and fibrosis-related proteins ［α-smooth muscle actin （α-SMA）， collagen type Ⅰ （Col Ⅰ）， and collagen type Ⅲ （Col Ⅲ）］ were assessed. A co-culture system of THP-1 cells （M1 macrophages） and human hepatic stellate cells （LX-2） was established. The cell experiment was designed with blank control （LX-2 alone）， model （LX-2 + M1 macrophages）， and low-， medium-， and high-dose SNS （co-culture with 5%， 10%， or 20% SNS-containing serum， respectively） groups. Cell viability， inflammatory cytokines， and macrophage phenotype were examined. Human primary hepatic Kupffer cells were allocated into blank control， M1 （LPS 100 μg·L^-1+IFN-γ 20 μg·L^-1）， M2 （IL-4 20 μg·L^-1+IL-13 20 μg·L^-1）， M1+M2， M1+SNS （supplemented with 10% SNS-containing serum for 2 h after culture under M1 conditions for 24 h）， M2+SNS （supplemented with 10% SNS-containing serum for 2 h after culture under M2 conditions for 24 h）， and M1+M2+SNS groups （supplemented with 10% SNS-containing serum for 2 h after culture under M1+M2 conditions for 24 h）， and the expression of nuclear factor-κB （NF-κB） p65 and signal transducer and activator of transcription 3 （STAT3） at protein and mRNA levels was determined. ResultsCompared with the blank group， the model group exhibited increased serum levels of ALT， AST， ALP， PCⅢ， LN， HA， IL-6， and TNF-α， upregulated protein and mRNA levels of α-SMA， Col Ⅰ， and Col Ⅲ in the liver tissue （P<0.05， P<0.01）， and decreased IL-10 level and STAT3 mRNA level （P<0.05， P<0.01）， accompanied by marked collagen deposition and inflammatory infiltration in the liver. Compared with the model group， all doses of Sini San reversed these alterations （P<0.05， P<0.01）， with the high-dose group showing the most pronounced effects. Cell experiments demonstrated that， compared with the blank control group， the model group had elevated levels of pro-inflammatory cytokines （IL-1β， IL-6， and TNF-α） and upregulated protein and mRNA levels of M1 markers ［cluster of differentiation 86 （CD86， inducible nitric oxide synthase （iNOS）， and monocyte chemoattractant protein-1 （MCP-1）］ （P<0.01）， along with declined level of IL-10 and downregulated expression of M2 markers ［（CD163， CD206， and arginase-1 （Arg-1）］ （P<0.05，P<0.01）. Compared with the model group， treatment with Sini San-containing serum at various concentrations lowered the levels of pro-inflammatory cytokines and expression of M1 markers （P<0.05， P<0.01）， while increasing the IL-10 level and M2 marker expression （P<0.05， P<0.01）. Additionally， Sini San downregulated the mRNA level of NF-κB and upregulated the mRNA level of STAT （P<0.05， P<0.01）. In the experiment with human primary Kupffer cells， compared with the blank group， the M1 group showed increased NF-κB p65 expression （P<0.01） and decreased STAT3 expression （P<0.05）， whereas the M2 group exhibited increased STAT3 expression （P<0.01）. Compared with the respective model groups， Sini San-containing serum reversed the M1-induced overexpression of NF-κB p65 （P<0.05， P<0.01） and further enhanced the M2-induced STAT3 expression （P<0.05， P<0.01）. ConclusionSini San can inhibit the NF-κB p65/STAT3 signaling pathway and repolarize intrahepatic Kupffer cells from the pro-inflammatory M1 to the anti-inflammatory M2 phenotype to attenuate inflammation and suppress hepatic stellate cell activation and collagen deposition， thereby exerting anti-fibrotic effect.

Objective: To investigate the epidemiological characteristics and influencing factors for hand, foot, and mouth disease (HFMD) incidence in Binzhou City, Shandong Province, so as to provide the evidence for developing HFMD prevention and control strategies. Methods: Data on HFMD cases in Binzhou City from 2017 to 2023 were collected through the Infectious Disease Reporting Information System of Chinese Disease Prevention and Control Information System. Meteorological data during the same period were collected from the fifth-generation European Centre for Medium-Range Weather Forecasts. The incidence of HFMD was calculated, and the temporal, population, and regional distribution characteristics of HFMD were analyzed descriptively. Bayesian spatiotemporal model was used to analyze the influencing factors for HFMD incidence Results: From 2017 to 2023, a total of 17 314 HFMD cases were reported in Binzhou City, with an annual average reported incidence of 62.57/105. The incidence peak was from June to September, and a secondary peak appeared from October to November in some years. The annual average reported incidences were higher in Bincheng District and Yangxin County, which were 107.41/105 and 72.95/105, respectively. There were 10 461 males and 6 853 females, with a male-to-female ratio of 1.53∶1. The age was mainly 1-3 years, with 11 713 cases accounting for 67.65%. Bayesian spatiotemporal model analysis showed that the risk of HFMD incidence had obvious seasonality and regionality. From 2017 to 2019 and in 2021, the peaks occurred in weeks 24-27 and 44-47 each year, with RR values of 1.771-6.747. From 2022 to 2023, it showed a single peak distribution. The RR values were all >1 in Bincheng District, Yangxin County, and Huimin County. Average temperature (RR=1.092, 95%CI: 1.080-1.105) and average relative humidity (RR=1.015, 95%CI: 1.008-1.022) were positively correlated with the risk of HFMD incidence, while average wind speed (RR=0.749, 95%CI: 0.655-0.856) was negatively correlated with the risk of HFMD incidence. Conclusions HFMD in Binzhou City mainly occurs in summer and in central areas. Males and children aged 1-3 years are high-risk populations. The risk of HFMD incidence increases with the increase of average temperature and average relative humidity, and decreases with the increase of average wind speed.

This article presents a case study of a patient who visited the Geriatric Department of Peking Union Medical College Hospital due to "palpitations, shortness of breath for more than 2 years, limb weakness for 6 months, edema, and nocturnal dyspnea for 2 months". The patient exhibited decreased muscle strength in the limbs and involvement of swallowing and respiratory muscles, alongside complications of heart failure and various arrhythmias which were predominantly atrial. Laboratory tests revealed the presence of multiple autoantibodies and notably anti-mitochondrial antibodies. Following a comprehensive multidisciplinary evaluation, the patient was diagnosed with anti-mitochondrial antibody-associated inflammatory myopathy. Treatment involved a combination of glucocorticoids and immunosuppressants, along with resistance exercises for muscle strength and rehabilitation training for lung function, resulting in significant improvement of clinical symptoms. The case underscores the importance of collaborative multidisciplinary approaches in diagnosing and treating rare diseases in elderly patients, where careful consideration of clinical manifestations and subtle abnormal clinical data can lead to effective interventions.