Modern cataract surgery has completely moved beyond the traditional vision-restoring model and has fully entered a new era of refractive cataract surgery(RCS)centered on precise refractive correction. Its core objective is to provide patients with personalized visual experiences characterized by full-range, clear, and comfortable vision. Currently, although diagnostic and therapeutic technologies for RCS are rapidly evolving, there remain many bottlenecks in the precise management of the entire perioperative process that urgently need to be addressed. Preoperatively, the measurement consistency among ocular biometry devices based on different detection principles remains poor, and systematic measurement errors cannot be completely eliminated. Moreover, the individualized selection of intraocular lenses(IOLs)relies heavily on surgeons' clinical experience, lacking a standardized quantitative decision-making framework, which makes it difficult to achieve precise personalized matching. Intraoperatively, the quality of continuous curvilinear capsulorhexis is affected by multiple factors such as ocular anatomical characteristics and surgical proficiency, and its stability cannot be reliably ensured. Various intelligent surgical navigation systems are compromised by intraoperative ocular conditions, and their clinical performance fails to meet theoretical expectations. At the postoperative stage, existing IOL optical designs and materials have inherent limitations. The longterm prevention and control of posterior capsule opacification(PCO)remains a core factor restricting patients' long-term high-quality visual outcomes. This article systematically reviews the precise diagnostic and therapeutic challenges and core bottlenecks across the preoperative, intraoperative, and postoperative stages of RCS. It further explores frontier technological directions—including cross-device error compensation models, artificial intelligence-assisted decision-making, preoperative VR-based visual simulation, and the construction of intelligent surgical ecosystem platforms—to delineate targeted solutions and optimization pathways. This review aims to provide references and insights for the standardized clinical implementation, technological innovation, and future research endeavors in precision diagnosis and treatment of RCS.

Viral pneumonia is an infectious disease caused by virus invading the lung parenchyma and interstitial tissue and causing lung inflammation， with the incidence rising year by year. Traditional Chinese medicine （TCM） can treat viral pneumonia in a multi-component， multi-target， and holistic manner by targeting the core pathogenesis of pneumonia caused by different respiratory viruses， demonstrating minimal side effects and significant advantages. According to the theory of healthy Qi and pathogenic Qi in TCM， the struggle between healthy Qi and pathogenic Qi and the imbalance between immunity and inflammation run through the entire process of viral pneumonia， and the immunity-inflammation status at different stages of the disease reflects different relationships between healthy Qi and pathogenic Qi. Immune dysfunction leads to the deficiency of healthy Qi， causing viral infections. The struggle between healthy Qi and pathogenic Qi causes immunity-inflammation imbalance， leading to the onset of viral pneumonia. Inflammatory damage causes persistent accumulation of phlegm and stasis， leading to the progression of viral pneumonia. The cytokine storm causes immunodepletion， leading to the excess of pathogenic Qi and diminution of healthy Qi and the deterioration of viral pneumonia. After the recovery from viral pneumonia， there is a long-term imbalance between immunity and micro-inflammation， which results in healthy Qi deficiency and pathogenic Qi lingering. Healthy Qi deficiency and pathogenic Qi excess act as common core causes of pneumonia caused by different respiratory viruses. Clinical treatment should emphasize both replenishing healthy Qi and eliminating pathogenic Qi， helping to restore the balance between healthy Qi and pathogenic Qi as well as between immunity and inflammation， thus promoting the recovery of patients from viral pneumonia. According to the TCM theory of healthy Qi and pathogenic Qi， this article summarizes the immunity-inflammation mechanisms at different stages of viral pneumonia， and explores the application of the method of replenishing healthy Qi and eliminating pathogenic Qi in viral pneumonia. The aim is to probe into the scientific connotation of the TCM theory of healthy Qi and pathogenic Qi in viral pneumonia and provide ideas for the clinical application of the method of replenishing healthy Qi and eliminating pathogenic Qi to assist in the treatment of viral pneumonia.

Objective To explore the current status of medical technology anxiety experienced by elder-ly patients during the use of digital healthcare technology and its influencing factors.Methods A convenience sampling method was used to select 552 elderly patients from 10 hospitals in Liaoning Province as study sub-jects.A cross-sectional survey was conducted using the technology anxiety scale,ehealth literacy scale,self-ef-ficacy scale,and family APGAR index.Results The smart healthcare medical technology anxiety scale score for older patients was(44.93±14.30)points,and the ehealth literacy scale score was(25.29±9.61)points.Smart healthcare medical technology anxiety in older patients was negatively correlated with ehealth literacy,self-efficacy,and family care index(r=-0.299,-0.336,-0.304,P<0.01).Multiple linear regression showed that age,education level,living situation,monthly income,household registration,presence of chronic disease,ehealth literacy,self-efficacy,and family care index were influencing factors for smart healthcare medi-cal technology anxiety in older patients(P<0.05),collectively explaining 35.8%of the variance.Conclusion Ol-der patients exhibit a moderate-to-high level of smart healthcare medical technology anxiety,while their ehealth litera-cy remains at a low level.

OBJECTIVE To explore the expression,regulation,and downstream pathways of miR-21-5p in nasal type 2 inflammatory diseases.METHODS The expression levels of miR-21-5p were evaluated in nasal mucosa of patients with chronic rhinosinusitis with nasal polyps(CRSwNP)and healthy controls,as well as in nasal mucosa of CRSwNP and allergic rhinitis(AR)mouse models by real-time PCR.Human primary nasal epithelial cells were cultured and treated with different cytokines.The expression of miR-21-5p were then detected after 48 hours treatment.miR-21-5p lentivirus were used for overexpression in nasal epithelial cells.After 72 hours,cells were collected,and RNA was extracted for transcriptome analysis.Differentially expressed genes were further analyzed for pathway enrichment.RESULTS Compared with healthy controls,the expression of miR-21-5p was significantly increased in the nasal mucosa of CRSwNP patients(P<0.01).The expression of miR-21-5p was also significantly increased in mouse models of CRSwNP and AR respectively,compared to the control groups(P<0.01,respectively).The type 2 inflammation cytokines IL-4 and IL-13 can significantly upregulate miR-21-5p expression in nasal epithelial cells(P<0.01,respectively).Overexpression by lentivirus can significantly increase the expression of miR-21-5p in nasal epithelial cells,and lead to 118 differentially expressed genes.Those genes are significantly enriched in pathways associated with posttranscriptional gene silencing,WNT signaling and MAPKinase signaling.CONCLUSION miR-21-5p is upregulated in nasal type 2 inflammatory diseases partially controlled by IL-4 and IL-13.Overexpression of miR-21-5p lead to the changes of downstream pathways associated with WNT signaling and MAPKinase signaling in nasal epithelial cells.

Medical device related infections caused by bacteria are common complications in clinical practice,and preventing bacterial colonization on the surface of medical materials is one of the important challenges in the medical field.Therefore,there is an urgent need to construct medical coatings that combine antibacterial properties and biocompatibility.In this study,a γ-polyglutamic acid(γ-PGA)complex with long-chain alkyl quaternary ammonium salts formed by electrostatic and hydrophobic interactions was prepared,which was insoluble in water but soluble in organic solvents(e.g.,ethanol),and was capable of constructing antimicrobial coatings on the surfaces of medical materials in a simple and efficient manner.The bactericidal effect of the coating was verified using viable bacteria counting experiments,and the results showed that the bactericidal rate of the coated thermoplastic polyurethane(TPU)membrane against Staphylococcus aureus was greater than 99.9%compared with that of the uncoated TPU membrane.In addition,a cytotoxicity assay was performed using the L929 fibroblast and cell proliferation detection kit(CCK-8),which showed that the survival rate of L929 fibroblasts on coated TPU was greater than 90%.Meanwhile,the hemolysis rate of coated erythrocytes was tested using fresh rabbit red blood cells(RBCs),and the hemolysis rate on the coated TPU surface was 1.5%.The above results indicated that the coating had good biocompatibility.The preparation method of medical antibacterial coating reported in this study provided a new idea for preventing bacterial infections related to implantable/interventional medical devices.

The research on the mechanism of Chinese materia medica in the treatment of viral pneumonia (VP) is mainly based on the monomer components of Chinese materia medica and TCM compounds. Among them, the monomer components are mainly polyphenols, flavonoids and anthraquinones, which have anti-inflammatory, antiviral, immunomodulatory and antioxidant pharmacological effects. The efficacy of TCM compounds is mainly based on clearing heat, and it has the functions of removing phlegm, removing blood stasis, removing dampness, moistening lung and so on. The intervention of Chinese materia medica in VP mainly involves NF-κB, MAPK, JAK/STAT, PI3K/Akt and other signaling pathways. The mechanism includes regulating oxidative stress, apoptosis, regulating immune function, inhibiting inflammatory response, etc., which can reduce the pathological damage of inflammatory cell infiltration and edema in lung tissue, and achieve the protective effect on lung tissue. The current research models exhibit unclear patterns of syndrome differentiation, and the mechanisms of Chinese materia medica involving multiple targets and pathways are poorly understood. Future research should integrate disease-syndrome combination models to further explore the mechanisms by which TCM regulates multiple targets and pathways, thereby providing insights and methodologies for the treatment of viral pneumonia with Chinese materia medica.

Background:Salvia miltiorrhiza Bunge,commonly known as"Danshen"in China due to the distinctive red color of its roots,is one of the most widely used traditional Chinese medicines.It is cultivated in various regions across China,and environmental differences among these regions can affect the secondary metabolites of plants,thereby influencing the quality of S.miltiorrhiza.In recent years,increasing demand for S.miltiorrhiza has exacerbated the problem of origin fraud.Therefore,ensuring the authenticity of its geo-graphical origin is crucial for the sustainable development of the industry.Objective:The red coloration of S.miltiorrhiza is closely associated with the content of its primary active compounds,particularly tanshinones.Therefore,both its internal chemical composition and external color characteristics serve as key indicators for quality assessment.This study utilized hyperspectral imaging technology to evaluate its potential in classifying the geographical origin of S.miltiorrhiza.Methods:Spectral data reflecting the internal chemical properties of S.miltiorrhiza were integrated with color information represent-ing its external features through 3 levels of data fusion.These fused datasets were then combined with deep learning algorithms to achieve accurate origin classification.Results:The results demonstrated that the Transformer model combined with soft-voting decision-level fusion achieved the highest classification accuracy of 98.72％by integrating image color and short-wave infrared spectral data.Conclusion:This study demonstrates that integrating hyperspectral imaging spectral data with color information provides a reliable and innovative approach for verifying the authenticity and traceability of S.miltiorrhiza.

To explore the impacts of TGR5 on liver lipid metabolism and bile acid synthesis in dairy cows with fatty liver.Liver tissues of healthy cows and cows with fatty liver were collected through puncture technique.The protein and mRNA expressions of lipid synthesis-related factors ACC1,FAS,SREBF1,lipid oxidation factor CPT1A,and bile acid synthesis-related factors CYP8B1,CYP7B1,CYP27A1 were detected by Western blot and fluorescent quantitative PCR.Moreover,the mRNA levels of CYP7B1 were determined.Primary hepatocytes of 1-day-old calves were extracted and cultured in vitro,and four treatment groups were established,namely Control,NEFA,INT-777,and the INT-777+NEFA group.The concentration of NEFA group was 1.2 mmol/L,the con-centration of INT-777 group was 1 μmol/L,and the concentration of INT-777+NEFA group was 1.2 mmol/L NEFA and 1 μmol/L INT-777 simultaneously.After 12 h of stimulation,cells were collected,and the protein and mRNA levels of ACC1,FAS,SREBF1,CPT1A,CYP8B1,CYP7A1,CYP27A1,and the mRNA levels of CYP7B1 were detected by Western blot and fluorescent quanti-tative PCR.The content of lipid droplets and TG in the cells were detected by flow cytometry and kit.The results demonstrated that compared with healthy cows,the protein and mRNA expressions of ACC1,FAS,SREBF1,CYP8B1,and CYP7A1 in the liver tissues of fatty liver cows were upreg-ulated,while the protein and mRNA levels of CPT1 A,CYP27A1,TGR5,and the mRNA levels of CYP7B1 were downregulated.In vitro experiments revealed that compared with the Control group,the protein and mRNA levels of ACC1,FAS,SREBF1,CYP8B1,and CYP7A1 in the NEFA group were upregulated,and the protein and mRNA levels of CPT1A,CYP27A1,and TGR5,as well as the mRNA level of CYP7B1,were downregulated.Compared with the NEFA group,the protein and mRNA levels of ACC1,FAS,SREBF1,CYP8B1,CYP7A1 were downregulated in the INT-777+NEFA group,while the protein and mRNA levels of CPT1A CYP27A1,and TGR5 as well as the mRNA level of CYP7B1,were upregulated.The results of flow cytometry and the kit indicated that the lipid droplets and TG content in the NEFA group were upregulated compared with the Control group,while the lipid droplets and TG content in the INT-777+NEFA group were downregulated compared with the NEFA group.The above results suggested that the addition of TGR5 agonist promoted the expression of TGR5 and ameliorated the abnormal lipid metabolism and bile acid synthesis in the liver of dairy cows with fatty liver.

Human carboxylesterase 2A (hCES2A) plays pivotal roles in prodrug activation and hydrolytic metabolism of ester-bearing chemicals. Targeted inhibition of intestinal hCES2A represents a feasible strategy to mitigate irinotecan-triggered gut toxicity (ITGT), but the orally active, selective, and efficacious hCES2A inhibitors are rarely reported. Here, a novel drug-like hCES2A inhibitor was developed via three rounds of structure-based drug design (SBDD) and structural optimization. Initially, donepezil was identified as a moderate hCES2A inhibitor from 2000 US Food and Drug Administration (FDA)-approved drugs. Following two rounds of SBDD and structural optimization, a donepezil derivative (B7) was identified as a strong reversible hCES2A inhibitor. Subsequently, nine B7 carbamates were rationally designed, synthesized and biologically assayed. Among all synthesized carbamates, C3 showed the most potent time-dependent inhibition on hCES2A (IC₅₀ = 0.56 nmol/L), excellent specificity and favorable drug-like properties. C3 could covalently modify the catalytic serine of hCES2A with high selectivity, while this agent also showed favorable safety profiles, high intestinal exposure, and impressive effects for ameliorating ITGT in both human intestinal organoids and tumor-bearing mice. Collectively, this study showcases a rational strategy for developing drug-like and serine-targeting covalent inhibitors against target serine hydrolase(s), while C3 emerges as a promising orally active drug candidate for ameliorating ITGT.

Background: Salvia miltiorrhiza Bunge, commonly known as “Danshen” in China due to the distinctive red color of its roots, is one of the most widely used traditional Chinese medicines. It is cultivated in various regions across China, and environmental differences among these regions can affect the secondary metabolites of plants, thereby influencing the quality of S. miltiorrhiza. In recent years, increasing demand for S. miltiorrhiza has exacerbated the problem of origin fraud. Therefore, ensuring the authenticity of its geographical origin is crucial for the sustainable development of the industry. Objective: The red coloration of S. miltiorrhiza is closely associated with the content of its primary active compounds, particularly tanshinones. Therefore, both its internal chemical composition and external color characteristics serve as key indicators for quality assessment. This study utilized hyperspectral imaging technology to evaluate its potential in classifying the geographical origin of S. miltiorrhiza. Methods: Spectral data reflecting the internal chemical properties of S. miltiorrhiza were integrated with color information representing its external features through 3 levels of data fusion. These fused datasets were then combined with deep learning algorithms to achieve accurate origin classification. Results: The results demonstrated that the Transformer model combined with soft-voting decision-level fusion achieved the highest classification accuracy of 98.72% by integrating image color and short-wave infrared spectral data. Conclusion: This study demonstrates that integrating hyperspectral imaging spectral data with color information provides a reliable and innovative approach for verifying the authenticity and traceability of S. miltiorrhiza.