ObjectiveThis study aims to develop and validate a novel multimodal predictive model， termed criss-cross network（CCNet）-directed graph neural network（DGNN）（CGN）， for accurate assessment of pulmonary nodule progression in high-risk individuals for lung cancer， by integrating longitudinal chest computed tomography（CT） imaging with both traditional Chinese and western clinical evaluation data. MethodsA cohort of 4 432 patients with pulmonary nodules was retrospectively analyzed. A twin CCNet was employed to extract spatiotemporal representations from paired sequential CT scans. Structured clinical assessment and imaging-derived features were encoded via a multilayer perceptron， and a similarity-based alignment strategy was adopted to harmonize multimodal imaging features across temporal dimensions. Subsequently， a DGNN was constructed to integrate heterogeneous features， where nodes represented modality-specific embeddings and edges denoted inter-modal information flow. Finally， model optimization was performed using a joint loss function combining cross-entropy and cosine similarity loss， facilitating robust classification of nodule progression status. ResultsThe proposed CGN model demonstrated superior predictive performance on the held-out test set， achieving an area under the receiver operating characteristic curve（AUC） of 0.830， accuracy of 0.843， sensitivity of 0.657， specificity of 0.712， Cohen's Kappa of 0.417， and F₁ score of 0.544. Compared with unimodal baselines， the CGN model yielded a 36%-48% relative improvement in AUC. Ablation studies revealed a 2%-22% increase in AUC when compared to simplified architectures lacking key components， substantiating the efficacy of the proposed multimodal fusion strategy and modular design. Incorporation of traditional Chinese medicine （TCM）-specific symptomatology led to an additional 5% improvement in AUC， underscoring the complementary value of integrating TCM and western clinical data. Through gradient-weighted activation mapping visualization analysis， it was found that the model's attention predominantly focused on nodule regions and effectively captured dynamic associations between clinical data and imaging-derived features. ConclusionThe CGN model， by synergistically combining cross-attention encoding with directed graph-based feature integration， enables effective alignment and fusion of heterogeneous multimodal data. The incorporation of both TCM and western clinical information facilitates complementary feature enrichment， thereby enhancing predictive accuracy for pulmonary nodule progression. This approach holds significant potential for supporting intelligent risk stratification and personalized surveillance strategies in lung cancer prevention.

Objective To explore the effect of Wenyang Huazhuo Tongluo recipe on pulmonary microvascular injury in mice with scleroderma based on mitophagy.Methods Fifty mice were randomly divided into blank control group(0.9％NaCl,by gavage),control group(0.9％NaCl,by gavage),model group,Wenyang Huazhuo Tongluo recipe group(47mg·kg-1·d-1 Wenyang Huazhuo Tongluo recipe by gavage),positive control group(10 mg·kg-1·d-1 KC7F2 dissolved in phosphate buffer solution intraperitoneal injection),continuous administration for 4 weeks.The expression levels of in vitro membrane translocation enzyme 20(TOMM20),hypoxia inducible factor-1α(HIF-1α),B cell lymphoma-2/adenovirus E1B-19 kDa interacting protein 3(BNIP3),PTEN inducible muscle enzyme protein 1(PINK1)and E3 ubiquitin ligase(Parkin)in lung tissue were detected by immunohistochemistry(IHC).Western blot(WB)was used to detect the expression levels of mitophagy-related proteins(TOMM20,LC3B)and HIF-1α/BNIP3/PINK1/Parkin pathway proteins in pulmonary microvascular endothelial cells.Results The relative content of HIF-1α in microvascular endothelial cells of lung tissue in the control group,model group,Wenyang Huazhuo Tongluo recipe group and positive control group were 0.17±0.02,0.98±0.01,0.66±0.03 and 0.48±0.01;the relative content of BNIP3 were 0.40±0.02,0.74±0.01,0.56±0.01 and 0.60±0.02;the relative content of PINK1 were 0.26±0.04,0.88±0.01,0.65±0.02 and 0.67±0.02;the relative contents of Parkin were 0.33±0.02,0.89±0.01,0.65±0.02 and 0.77±0.02;the relative contents of TOMM20 were 1.10±0.02,0.58±0.01,1.02±0.01 and 0.98±0.03;the relative contents of LC3B-Ⅰ/LC3B-Ⅱ were 0.24±0.01,0.80±0.01,0.53±0.02 and 0.70±0.02,respectively.The content of HIF-1α,BNIP3,PINK1,Parkin and LC3B-Ⅰ/LC3B-Ⅱ in model group was higher than those in control group.Wenyang Huazhuo Tongluo recipe can effectively reduce its content.The content of TOMM20 in the model group was lower than that in control group,and Wenyang Huazhuo Tongluo recipe can effectively increase its content.Conclusion Wenyang Huazhuo Tongluo recipe may inhibit mitophagy and improve SSc pulmonary microvascular injury by increasing TOMM20 and inhibiting the protein expression of LC3B and HIF-1α/BNIP3/PINK1/Parkin signaling pathway.

AIM: To investigate the efficacy and safety of ZKY001 eye drops with different concentrations in the treatment of corneal epithelial defects(CED)after primary pterygium excision.METHODS: This was a multicenter, randomized, double-blinded, placebo-controlled phase II clinical trial. From March 15, 2022 to November 14, 2022, patients with primary pterygium who had undergone surgery were recruited from 12 tertiary hospitals across China. Using block randomization, 178 patients(178 eyes)were randomly assigned to 3 groups in a 1:1:1 ratio: 0.002% ZKY001 group(n=59), 0.004% ZKY001 group(n=59), and placebo group(n=60, receiving ZKY001 sham eye drops). Subjects in each group received 1 drop of the study drug 4 times per day for 4 d. The percentage of CED area recovery from baseline, the first complete healing time of CED area, the number of first complete healing cases of CED, and changes in visual analogue scale(VAS)scores for eye discomfort including eye pain, foreign body sensation, tearing and photophobia were observed.RESULTS: In terms of improvement in CED, there were no statistically significant differences among the three groups including the first healing time of CED, the percentage improvement in CED area compared to baseline, and the percentage of first healing cases at different follow-up visits(all P>0.05). Numerically, the first healing time of CED was shorter in the test groups compared to the placebo group(67.87±21.688 h for the 0.002% ZKY001 group, 61.48±22.091 h for the 0.004% ZKY001 group, and 68.85±20.851 h for the placebo group). On D1 morning, the percentage improvement in CED area compared to baseline was maximally different from the placebo group, and the numerical difference advantage was maintained at subsequent follow-up visits. The number of first healing cases in the CED area at different follow-up visits was higher in the test groups than the placebo group. In terms of improvement in ocular discomfort, the total VAS scores were lower in the test groups compared to the placebo group, mainly due to reductions in foreign body sensation and pain scores. At D3, the 0.004% ZKY001 group showed statistically significant improvement in foreign body sensation(P<0.017). In terms of safety, the overall incidence of adverse events was low(9.0%)and similar among groups.CONCLUSION: The use of ZKY001 eyedrops after primary pterygium surgery can safely improve the CED repair, and alleviate postoperative symptoms caused by CED.

The purpose of this study was to enrich the genomic information and provide a basis for further development and utilization of Polygonatum kingianum. The fresh rhizome of P. kingianum was used as the experimental material, and the full-length transcriptome was sequenced by PacBio Sequel platform. The final measured polymerase reads were 1 120 485, with a total of 77.73 GB of data. In NR database, 41 864 homologous sequence alignments were aligned to 5 species; 40 506 were annotated in the KOG database and classified into 26 categories based on their functionality; 69 060 GO annotated 32 functional groups divided into 3 categories: cellular components, molecular functions, and biological processes; 45 779 annotations were added to 145 metabolic pathways in the KEGG database. Among them, there are 127 identified transcripts related to polysaccharide synthesis in the glycolysis/gluconeogenesis metabolic pathway, 144 in the starch and sucrose metabolic pathway, 85 in the amino acid sugar and nucleotide sugar metabolic pathway, and 69 in the fructose and mannose metabolic pathway. In addition, 1 781 transcription factors were detected, distributed in 37 transcription factor families; 180 293 SSR loci were detected, among which single base repeats accounted for the most, accounting for 30.48% of all base repeats, and at least five base repeats, accounting for only 0.14% of single base repeats. The results of this study provide important data supporting for enriching the genomic information of P. kingianum and exploring its effective biosynthetic pathway.

Studies on chemical constituents in the rhizome of Dalbergia rimosa Roxb. The chemical constituents from the ethyl acetate part of D. rimosa were isolated and purified by silica gel, MCI gel, Sephadex LH-20 gel and semi-preparative HPLC, and the stuctures were identified by spectral method. Thirteen compounds were isolated from the ethyl acetate part of the rhizome of D. rimosa and identified as dalbergiaisoflavones A, B (1, 2), formononetin (3), 7,4′-dimethoxyisoflavone (4), 4′,6,7-trimethoxyisoflavone (5), biochanin A (6), prunetin (7), 7-O-methyltectorigenin (8), 3′-hydroxydaidzein (9), orobol 7,3′-dimethyl ether (10), 2′,7-dihydroxy-4′,5′- dimethoxyisoflavone (11), pruinosanone E (12), caviunin (13). Compounds 1 and 2 are new compounds, and compounds 3-13 were isolated from this plant for the first time. Compounds 9 and 11 had remarkable scavenging effect on DPPH free radicals.

The objective of this study was to analyze the effects on cell viability, apoptosis, and cell cycle of non-small cell lung cancer (NSCLC) A549 cells after intervention with Agrimonia pilosa (AP) and investigate Agrimonia pilosa anti-tumor activity in vitro. Meanwhile, liquid chromatography mass spectrometry (LC-MS) metabolomics technology was used to analyze the changes of cellular metabolites and metabolic pathways. The results of this study will provide a theoretical and experimental basis for investigating the mechanism of the effect of Agrimonia pilosa on non-small cell lung cancer A549 cells. The results showed that the cell nucleus of A549 cells crumpled and apoptosis occurred with the increase of drug concentration. The survival rate of the cells decreased, and the inhibition rate reached 21.5% and 91.74% under the low and high dose conditions, respectively. Lactate dehydrogenase (LDH) content increased (P < 0.05). Metabolomics results showed significant differences in metabolism between groups, thirty-three distinct metabolites including LysoPC(24:0/0:0), LysoPC(17:0/0:0) and PC(O-40:5) were deduced. The pathway enrichment showed that the Agrimonia pilosa plays an anti-tumor role mainly by regulating the metabolism of glycerophosphate and purine in A549 cells, in which the effect on glycerophosphate metabolism pathway was most significant. The results of combined pharmacodynamics suggested that Agrimonia pilosa might induce apoptosis and inhibit the growth of A549 cells by regulating LysoPC(24:0/0:0), LysoPC(17:0/0:0) and PC(O-40:5) metabolites in A549 cells.

Twelve compounds were isolated from the ethyl acetate fraction of the 80% aqueous ethanol extract of the roots and stems of Dalbergia rimosa Roxb. by silica gel, MCI, Sephadex LH-20 column chromatography, and semi-preparative HPLC. Their structures were identified by spectral analysis such as UV, IR, MS, 1D/2D NMR and by comparison with literature information as dalbergiquinol A (1), dalbergiquinol B (2), R-(-)-3′-hydroxy-2,4,5-trimethoxydalbergiquinol (3), neokhriol A (4), mucronulatol (5), (3R)-7,2′,3′-trihydroxy-4′-methoxy-isoflavane (6), isomucronulatol (7), (3S)-violanone (8), 3′-O-methylviolanone (9), eryvarin M (10), (±)-α,3,4,2′,4′-pentahydroxydihydrochalcone (11) and (-)-butin (12). Compound 1 and 2 are new compounds, and compounds 3-12 were isolated from this plant for the first time. Compounds 1, 2, 4, 6, 8, 11, 12 showed good scavenging effect on DPPH free radical.

The analysis of ammonia nitrogen in real water samples is challenging due to matrix interferences and difficulties for rapid on-site analysis.On the basis of the standard method,i.e.water quality-determination of ammonia nitrogen-salicylic acid spectrophotometry(HJ 536-2009),a simple device for online detecting ammonia nitrogen was developed using a sequential injection analysis(SIA)system in this work.The ammonia nitrogen transformation system,color reaction system,and detection system were built in compatible with the SIA system,respectively.In particular,the detection system was assembled by employing light-emitting diode as the light source,photodiode as the detector,and polyvinylchloride tube as the cuvette,thus significantly reducing the volume,energy consumption and fabricating cost of the detection system.As a result,the accurate analysis of ammonia nitrogen in complex water samples was achieved.A quantitative detection of ammonia nitrogen in water sample was obtained in 12 min,along with linear range extending to 1000 μmol/L,precisions(Relative standard deviation,RSD)of 4.3%(C=10 μmol/L,n=7)and 4.2%(C=500 μmol/L,n=7),and limit of detection(LOD)of 0.65 μmol/L(S/N=3,n=7).The results of interfering experiments showed that the detection of ammonia nitrogen by the developed device was not interfered by the common coexisting ions and components,therefore the environmental water could be directly analyzed,such as reservoir water,domestic sewage,sea water and leachate of waste landfill.The analytical results were consistent with those obtained by the environmental protection standard method(Water quality determination of ammonia nitrogen-salicylic acid spectrophotometry,HJ 536-2009).In addition,the spiking recoveries were in the range of 92.3%-98.1%,further confirming the accuracy and practicality of the developed device.

Immunoassays are widely used in medicine, food, environment and other fields due to having the advantages of simpleness, rapidness and accuracy. Combining immunoassays with nanomaterials can improve the performance of immunoassays. Compared with traditional nanomaterials, upconversion nanoparticles (UCNPs) have excellent optical properties such as good photostability, long luminescence lifetime and narrow and tunable emission bands, which can significantly reduce background noise and improve analytical sensitivity when combined with immunoassay. This paper briefly introduces the luminescence mechanism of UCNPs, summarizes the synthesis and surface modification methods of UCNPs. And then 5 UCNPs-based immunoassay techniques, namely, fluorescence resonance energy transfer, inner filter effect, magnetic separation technique, upconversion-linked immunosorbent assay and upconversion immunochromatography, are discussed in detail. These sensing protocols of UCNPs-based immunoassays have been successfully utilized to detect various targets, including small molecules, macromolecules, and pathogens, all of which closely related to food safety, human health, and environmental pollution. Finally, the challenges and prospects of this technique are summarized and prospected. Although the UCNPs immunoassays based on antibodies and antigens have made great progress, most of the research is still in the stage of laboratory, and there is a long way to go to realize its social applications. There is a series of challenges need to be overcome. (1) Designing excellent water soluble and dispersive upconversion nanomaterials is needed. Hydrophilic ligands are bound to smaller upconversion nanoparticles and removing hydrophobic surface ligands are the most widely used methods to improve solubility and dispersity. (2) Multi-detection technology platforms and multi-mode simultaneous detection platforms have great potential, which will improve the efficiency of point of care detection. (3) The researchers also need to focus on some important problems. For examples, the upconversion luminescence efficiency of UCNPs is difficult to maintain, the synthesis method is complex, and the surface modification degree and functionalization are difficult to control.

Objective To investigate the infection status and changing trend of hepatitis C virus(HCV)infection in hospitalized patients in medical institutions,and provide reference for formulating HCV infection prevention and control strategies.Methods HCV infection surveillance results from cross-sectional survey data reported to China Healthcare-associated Infection(HAI)Surveillance System in 2020 were summarized and analyzed,HCV positive was serum anti-HCV positive or HCV RNA positive,survey result was compared with the survey results from 2003.Results In 2020,1 071 368 inpatients in 1 573 hospitals were surveyed,738 535 of whom underwent HCV test,4 014 patients were infected with HCV,with a detection rate of 68.93％and a HCV positive rate of 0.54％.The positive rate of HCV in male and female patients were 0.60％and 0.48％,respectively,with a statistically sig-nificant difference(x2=47.18,P＜0.001).The HCV positive rate in the 50-＜60 age group was the highest(0.76％),followed by the 40-＜50 age group(0.71％).Difference among all age groups was statistically signifi-cant(x2=696.74,P＜0.001).In 2003,91 113 inpatients were surveyed.35 145 of whom underwent HCV test,resulting in a detection rate of 38.57％;775 patients were infected with HCV,with a positive rate of 2.21％.In 2020,HCV positive rates in hospitals of different scales were 0.46％-0.63％,with the highest in hospital with bed numbers ranging 600-899.Patients'HCV positive rates in hospitals of different scales was statistically signifi-cant(X2=35.34,P＜0.001).In 2020,12 provinces/municipalities had over 10 000 patients underwent HCV-rela-ted test,and HCV positive rates ranged 0.19％-0.81％,with the highest rate from Hainan Province.HCV posi-tive rates in different departments were 0.06％-0.82％,with the lowest positive rate in the department of pedia-trics and the highest in the department of internal medicine.In 2003 and 2020,HCV positive rates in the depart-ment of infectious diseases were the highest,being 7.95％and 3.48％,respectively.Followed by departments of orthopedics(7.72％),gastroenterology(3.77％),nephrology(3.57％)and general intensive care unit(ICU,3.10％)in 2003,as well as departments of gastroenterology(1.35％),nephrology(1.18％),endocrinology(0.91％),and general intensive care unit(ICU,0.79％)in 2020.Conclusion Compared with 2003,HCV positive rate decreased significantly in 2020.HCV infected patients were mainly from the department of infectious diseases,followed by departments of gastroenterology,nephrology and general ICU.HCV infection positive rate varies with gender,age,and region.