AIM: To evaluate the repeatability and accuracy of iCare IC100 tonometer in measuring intraocular pressure(IOP)by comparing the correlation and difference with Goldmann applanation tonometry(GAT)and non-contact tonometer(NCT), and to compare the correlation of the three types of IOP measurement with the central corneal thickness(CCT).METHODS: Prospective study. A total of 90 outpatients(90 eyes)in Liaoning Aier Eye Hospital from March 2019 to May 2019 were randomly selected as study subjects. All patients were measured IOP using iCare IC100, NCT, and GAT. The interclass correlation coefficient(ICC)was used to evaluate the repeatability of IOP measured 3 times consecutively using an intraocular tonometer. The correlation and consistency of iCare IC100, GAT and NCT were compared by one-way ANOVA, Pearson linear correlation analysis and Bland-Altman analysis. The linear regression analysis was used to analyze the correlation of the three tonometers with CCT.RESULTS: The mean IOP measured with iCare IC100, GAT and NCT was 19.74±6.90, 19.88±7.07 and 18.47±6.31 mmHg, respectively(F=1.180, P=0.309). The measurements of iCare IC100 with GAT, iCare IC100 with NCT and GAT with NCT were all positively correlated(r=0.930, 0.946, 0.918, all P<0.05), the Bland-Altman analysis showed that the mean differences between iCare IC100 and GAT, iCare IC100 and NCT, GAT and NCT were -0.142±2.61, 1.27±2.24, and 1.41±2.81 mmHg, respectively, with 97%(87/90), 96%(86/90), and 97%(87/90)IOP differences distributed within their 95% confidence intervals. The IOP measured with iCare IC100 and CCT, GAT and CCT and NCT and CCT were all positively correlated(r=0.426, 0.353, 0.451, all P<0.01). The linear regression equations between iCare IC100, GAT and NCT measurement and CCT were iCare IC100 IOP=-19.62+0.074×CCT; GAT IOP=-13.54+0.063×CCT; NCT IOP=-19.65+0.072×CCT; that is, for every 10 μm increase in CCT, iCare IC100 measurement increased by 0.74 mmHg, GAT measurement increased by 0.63 mmHg, and NCT measurement increased by 0.72 mmHg.CONCLUSION: The iCare IC100 tonometer has good repeatability and accuracy in measuring IOP, and the CCT has a greater impact on the measurement of iCare IC100 than the GAT and NCT.

AIM: To evaluate the repeatability and accuracy of iCare IC100 tonometer in measuring intraocular pressure(IOP)by comparing the correlation and difference with Goldmann applanation tonometry(GAT)and non-contact tonometer(NCT), and to compare the correlation of the three types of IOP measurement with the central corneal thickness(CCT).METHODS: Prospective study. A total of 90 outpatients(90 eyes)in Liaoning Aier Eye Hospital from March 2019 to May 2019 were randomly selected as study subjects. All patients were measured IOP using iCare IC100, NCT, and GAT. The interclass correlation coefficient(ICC)was used to evaluate the repeatability of IOP measured 3 times consecutively using an intraocular tonometer. The correlation and consistency of iCare IC100, GAT and NCT were compared by one-way ANOVA, Pearson linear correlation analysis and Bland-Altman analysis. The linear regression analysis was used to analyze the correlation of the three tonometers with CCT.RESULTS: The mean IOP measured with iCare IC100, GAT and NCT was 19.74±6.90, 19.88±7.07 and 18.47±6.31 mmHg, respectively(F=1.180, P=0.309). The measurements of iCare IC100 with GAT, iCare IC100 with NCT and GAT with NCT were all positively correlated(r=0.930, 0.946, 0.918, all P<0.05), the Bland-Altman analysis showed that the mean differences between iCare IC100 and GAT, iCare IC100 and NCT, GAT and NCT were -0.142±2.61, 1.27±2.24, and 1.41±2.81 mmHg, respectively, with 97%(87/90), 96%(86/90), and 97%(87/90)IOP differences distributed within their 95% confidence intervals. The IOP measured with iCare IC100 and CCT, GAT and CCT and NCT and CCT were all positively correlated(r=0.426, 0.353, 0.451, all P<0.01). The linear regression equations between iCare IC100, GAT and NCT measurement and CCT were iCare IC100 IOP=-19.62+0.074×CCT; GAT IOP=-13.54+0.063×CCT; NCT IOP=-19.65+0.072×CCT; that is, for every 10 μm increase in CCT, iCare IC100 measurement increased by 0.74 mmHg, GAT measurement increased by 0.63 mmHg, and NCT measurement increased by 0.72 mmHg.CONCLUSION: The iCare IC100 tonometer has good repeatability and accuracy in measuring IOP, and the CCT has a greater impact on the measurement of iCare IC100 than the GAT and NCT.

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.

Monotropein is a compound classified into iridoid which is found in herbaceous plants Morindae officinalis. It possesses anti-inflammatory, antioxidant, and anti-osteoarthritic activities. Previous study indicates that monotropein may have the potential to combat cardiovascular disease, although the related mechanism remains unclear. In this study, we constructed the model of atherosclerosis by oxidized low density lipoprotein-induced vascular smooth muscle cells and LDLR –/–mice given high-fat diet to investigate the effects of monotropein on atherosclerosis.Our results showed that monotropein treatment significantly reduced the area of atherosclerotic plaques and necrotic cores in mice, inhibited the proliferation and migration of vascular smooth muscle cells, and reduced inflammatory responses and oxidative stress, which in turn alleviated atherosclerosis. In addition, we found that monotropein reduced the expression levels of P-NF-κB and P-AP-1. In conclusion, our data suggest that monotropein inhibited the proliferation and migration of vascular smooth muscle cells by mediating the activity of NF-κB, AP-1, reducing the level of inflammation and oxidative stress, and thus resisting the development of atherosclerosis. These findings demonstrate the efficacious therapeutic impact of monotropein on atherosclerosis and elucidate its specific target.

To reduce the dependency on high-carbon-load chromatographic columns,a new method has been established for the determination of the content of docusate sodium using ion-pair high-performance liquid chromatography (IP-HPLC). Tetrapropylammonium chloride was used as the ion-pair reagent with a mobile phase, composition of acetonitrile:10 mmol/L tetrapropylammonium chloride solution = 66∶34, adjusting pH to 6.5 with 0.1% phosphoric acid solution,flow rate of 1.5 mL/min, detection wavelength of 214 nm,column temperature of 35 °C, and an injection volume of 25 μL,and quantified by an external standard method. The main peak of docusate sodium exhibited a tailing factor of 1.34. The method showed good linearity within the range of 0.02 mg/mL to 0.40 mg/mL, with a correlation coefficient (r) of 0.999 9. It also demonstrated good repeatability, with recovery ranging from 97.0% to 98.2% (n=6). The quantification limit was 3.31 μg/mL, and the detection limit was 2.76 μg/mL.In summary,the new method shows good durability, a wide linear range, and high sensitivity, it is suitable for the determination of docusate sodium.

Objective: To investigate the characteristics and risk factors of an outbreak of acute hemorrhagic conjunctivitis (AHC) in a boarding middle school in Guangdong Province, in order to provide a scientific evidence for effective prevention and control of campus AHC outbreaks. Methods: From September 1st to 28th 2023, case identification was conducted among 559 students and 60 faculty members using standardized definition. Descriptive analysis was conducted on the three distrubution patterns of the outbreak. Questionnaires were designed, and a case-control study was adopted to analyze the possible risk factors of the disease transmission. The propensity score matching (PSM) method was used to control the difference of baseline data. Results: A total of 269 cases of AHC were identified, with an attack rate of 43.46%. The pathogen was confirmed as Coxsackie virus A24 variant (CA24v). Among these, 264 cases were students (attack rate of 47.23%) and 5 were staff (attack rate of 8.33%). A total of 153 pairs of PSM were successfully matched. After PSM matching, there were no statistically significant differences in gender, grade and class between the case group and the control group ( χ 2=0.12, 5.41, 11.24, P >0.05). The results of multivariate Logistic regression analysis showed that middle school students whose towels contacted with others ( OR =1.81), and direct contact with other AHC cases recently ( OR =4.89) were more likely to have AHC; while wearing glasses ( OR =0.43) and frequent use of hand sanitizer ( OR = 0.37 ) were less likely to have AHC ( P <0.05). Conclusion The outbreak of AHC is caused by CA24v, demonstrating rapid spread and extensive impact within the school setting.

ObjectiveTo investigate the mechanism by which Feixin decoction treats hypoxic pulmonary hypertension （HPH） by regulating the peroxisome proliferator-activated receptor gamma （PPARγ）/nuclear factor-kappa B （NF-κB）/NOD-like receptor pyrin domain containing 3 （NLRP3） signaling pathway. MethodsForty-eight male SD rats were randomly allocated into normal， hypoxia， and low-， medium- and high-dose （5.85， 11.7， 23.4 g·kg^-1， respectively） Feixin decoction groups， with 8 rats in each group. Except the normal group， the remaining five groups were placed in a hypoxia chamber with an oxygen concentration of （10.0±0.5）% for 8 h per day， 28 days， and administrated with corresponding drugs during the modeling process. After 4 weeks of treatment， echocardiographic parameters ［pulmonary artery acceleration time （PAT）， pulmonary artery ejection time （PET）， right ventricular anterior wall thickness （RVAWd）， and tricuspid annular plane systolic excursion （TAPSE）］ were measured for each group. The right ventricular systolic pressure （RVSP） was measured by the right heart catheterization method， and the right ventricular hypertrophy index （RVHI） was calculated by weighing the heart. The pathological changes in pulmonary arterioles were observed by hematoxylin-eosin staining. The co-localization of α-smooth muscle actin （α-SMA） with NLRP3， N-terminal gasdermin D （N-GSDMD）， and cysteinyl aspartate-specific proteinase-1 （Caspase-1） in pulmonary arteries was detected by immunofluorescence. The protein levels of PPARγ， NF-κB， NLRP3， apoptosis-associated speck-like protein containing a CARD （ASC）， N-GSDMD， interleukin-1β （IL-1β）， interleukin-18（IL-18）， and cleaved Caspase-1 in the lung tissue was determined by Western blot. The ultrastructural changes in pulmonary artery smooth muscle cells （PASMCs） were observed by transmission electron microscopy. ResultsCompared with the normal group， the hypoxia group showed increased RVSP and RVHI （P<0.01）， decreased right heart function （P<0.01）， increased pulmonary vascular remodeling （P<0.01）， increased co-localization of α-SMA with NLRP3， N-GSDMD， and Caspase-1 in pulmonary arterioles （P<0.01）， up-regulated protein levels of NF-κB， NLRP3， ASC， N-GSDMD， IL-1β， IL-18， and cleaved Caspase-1 in the lung tissue （P<0.05， P<0.01）， a down-regulated protein level of PPARγ （P<0.05， P<0.01）， and pyroptosis in PASMCs. Compared with the hypoxia group， Feixin decoction reduced RVSP and RVHI， improved the right heart function and ameliorated pulmonary vascular remodeling （P<0.05， P<0.01）， decreased the co-localization of α-SMA with NLRP3， N-GSDMD， and Caspase-1 （P<0.05， P<0.01）， down-regulated the protein levels of NF-κB， NLRP3， ASC， N-GSDMD， IL-1β， IL-18， and cleaved Caspase-1 in the lung tissue （P<0.05， P<0.01）， up-regulated the protein level of PPARγ （P<0.05， P<0.01）， and alleviated pyroptosis in PASMCs. ConclusionFeixin decoction can ameliorate pulmonary vascular remodeling and right heart dysfunction in chronically induced HPH rats by regulating pyroptosis in PASMCs through the PPARγ/NF-κB/NLRP3 pathway.

[摘 要] 目的：探究长链非编码RNA（lncRNA）小核仁RNA宿主基因14（SNHG14）靶向miR-579-3p/富含半胱氨酸的酸性分泌蛋白（SPARC）对肝细胞癌（HCC）细胞恶性生物学行为的影响。方法：常规培养人正常肝细胞（LO2）和HCC细胞Huh7、Hep3B、HepG2，将Huh7细胞随机分为对照组、sh-NC组、sh-SNHG14组、sh-SNHG14 + anti-NC组和sh-SNHG14 + anti-miR-579-3p组，qPCR法检测细胞中SNHG14、miR-579-3p和SPARC mRNA的表达水平，双萤光素酶报告基因实验验证SNHG14与miR-579-3p及miR-579-3p与SPARC调控关系，MTT法、划痕愈合实验、Transwell实验、流式细胞术，以及WB法分别检测各组Huh7细胞的增殖、迁移、侵袭能力、凋亡，以及Huh7细胞中PCNA、E-cadherin、vimentin、SPARC蛋白的表达。结果：在HCC细胞中SNHG14、SPARC mRNA呈高表达、miR-579-3p呈低表达（均P < 0.05）；SNHG14与miR-579-3p和miR-579-3p与SPARC mRNA间存在直接结合调控关系（均P < 0.05）。敲减SNHG14可明显抑制Huh7细胞的增殖、迁移、侵袭、PCNA、vimentin、SPARC mRNA及蛋白的表达（均P < 0.05），促进细胞凋亡、miR-579-3p和E-cadherin表达（均P < 0.05）；抑制miR-579-3p则可部分逆转敲减SNHG14对Huh7细胞的作用（均P < 0.05）。结论：敲减SNHG14可通过靶向miR-579-3p/SPARC轴抑制Huh7细胞的恶性生物学行为，促进其凋亡；SNHG14和miR-579-3p/SPARC轴可能是HCC治疗的潜在靶点。

Objective To construct a "disease-syndrome combination" mathematical representation model for pulmonary nodules based on oral microbiome data, utilizing a multimodal data algorithm framework centered on dynamic systems theory. Furthermore, to compare predictive models under various algorithmic frameworks and validate the efficacy of the optimal model in predicting the presence of pulmonary nodules. Methods A total of 213 subjects were prospectively enrolled from July 2022 to March 2023 at the Hospital of Chengdu University of Traditional Chinese Medicine, Sichuan Cancer Hospital, and the Chengdu Integrated Traditional Chinese and Western Medicine Hospital. This cohort included 173 patients with pulmonary nodules and 40 healthy subjects. A novel multimodal data algorithm framework centered on dynamic systems theory, termed VAEGANTF (Variational Auto Encoder-Generative Adversarial Network-Transformer), was proposed. Subsequently, based on a multi-dimensional integrated dataset of “clinical features-syndrome elements-microorganisms”, all subjects were divided into training (70%) and testing (30%) sets for model construction and efficacy testing, respectively. Using pulmonary nodules as dependent variables, and combining candidate markers such as clinical features, lesion location, disease nature, and microbial genera, the independent variables were screened based on variable importance ranking after identifying and addressing multicollinearity. Missing values were then imputed, and data were standardized. Eight machine learning algorithms were then employed to construct pulmonary nodule risk prediction models: random forest, least absolute shrinkage and selection operator (LASSO) regression, support vector machine, multilayer perceptron, eXtreme Gradient Boosting (XGBoost), VAE-ViT (Vision Transformer), GAN-ViT, and VAEGANTF. K-fold cross-validation was used for model parameter tuning and optimization. The efficacy of the eight predictive models was evaluated using confusion matrices and receiver operating characteristic (ROC) curves, and the optimal model was selected. Finally, goodness-of-fit testing and decision curve analysis (DCA) were performed to evaluate the optimal model. Results There were no statistically significant differences between the two groups in demographic characteristics such as age and sex. The 213 subjects were randomly divided into training and testing sets (7 : 3), and prediction models were constructed using the eight machine learning algorithms. After excluding potential problems such as multicollinearity, a total of 301 clinical feature information, syndrome elements, and microbial genera markers were included for model construction. The area under the curve (AUC) values of the random forest, LASSO regression, support vector machine, multilayer perceptron, and VAE-ViT models did not reach 0.85, indicating poor efficacy. The AUC values of the XGBoost, GAN-ViT, and VAEGANTF models all reached above 0.85, with the VAEGANTF model exhibiting the highest AUC value (AUC=0.923). Goodness-of-fit testing indicated good calibration ability of the VAEGANTF model, and decision curve analysis showed a high degree of clinical benefit. The nomogram results showed that age, sex, heart, lung, Qixu, blood stasis, dampness, Porphyromonas genus, Granulicatella genus, Neisseria genus, Haemophilus genus, and Actinobacillus genus could be used as predictors. Conclusion The “disease-syndrome combination” risk prediction model for pulmonary nodules based on the VAEGANTF algorithm framework, which incorporates multi-dimensional data features of “clinical features-syndrome elements-microorganisms”, demonstrates better performance compared to other machine learning algorithms and has certain reference value for early non-invasive diagnosis of pulmonary nodules.

Monotropein is a compound classified into iridoid which is found in herbaceous plants Morindae officinalis. It possesses anti-inflammatory, antioxidant, and anti-osteoarthritic activities. Previous study indicates that monotropein may have the potential to combat cardiovascular disease, although the related mechanism remains unclear. In this study, we constructed the model of atherosclerosis by oxidized low density lipoprotein-induced vascular smooth muscle cells and LDLR –/–mice given high-fat diet to investigate the effects of monotropein on atherosclerosis.Our results showed that monotropein treatment significantly reduced the area of atherosclerotic plaques and necrotic cores in mice, inhibited the proliferation and migration of vascular smooth muscle cells, and reduced inflammatory responses and oxidative stress, which in turn alleviated atherosclerosis. In addition, we found that monotropein reduced the expression levels of P-NF-κB and P-AP-1. In conclusion, our data suggest that monotropein inhibited the proliferation and migration of vascular smooth muscle cells by mediating the activity of NF-κB, AP-1, reducing the level of inflammation and oxidative stress, and thus resisting the development of atherosclerosis. These findings demonstrate the efficacious therapeutic impact of monotropein on atherosclerosis and elucidate its specific target.