AIM:To compare the changes in diopters and axial length after 1 a of wearing defocus incorporated multiple segments(DIMS)lenses or single vision(SV)spectacle lenses in children with monocular myopia.METHODS:In this retrospective case group study, monocular myopia children aged from 6 to 14 years old in Hankou Aier Eye Hospital from October 2020 to October 2022, who were fitted with DIMS lens(n=52)or single-vision(SV)spectacle lenses(n=49)were collected. The spherical degree of myopia eyes ranged from -4.00 D to -0.50 D and the nonmyopic eyes ranged from 0 to +1.00 D, astigmatism in all eyes ranged from 0 to -2.00 D. The DIMS lens group was classified into DIMS-myopia group(the myopic eyes)and DIMS-nonmyopia group(the nonmyopic eyes). The SV lens group was also divided into SV-myopia group and SV-nonmyopia group. The changes in spherical equivalent refraction(SER)and axial length(AL)of each group were compare before and after wearing lenses for 1 a, and variations in SER and AL of both eye among groups were analzed.RESULTS: After wearing lenses for 1 a, the changes of SER in the DIMS-myopic group and the DIMS-nonmyopic group were -0.41±0.44 and -0.26±0.54 D, respectively, and the changes of AL were 0.18±0.20 and 0.15±0.15 mm, respectively. SER changes were -0.74±0.63 and -0.70±0.68 D in SV-myopic group and SV-nonmyopic group, and AL changes were 0.30±0.28 and 0.31±0.28 mm. The changes of SER and AL in the DMS-myopic and non-myopic groups were slower than those in SV group(all P<0.05). Compared with SV lenses, wearing DIMS lenses delayed and 44.6% in myopia eyes, and 62.9% in non-myopia eyes, AL delayed by 40.0% in myopia eyes and 51.6% in non-myopia eyes. The percentage of 1-year AL change ≤0.2 mm in the DIMS-myopic group and non-myopic group was 53.9% and 65.4%, respectively, which was higher than that in the SV myopic group(34.7% and 42.9%, all P<0.05). The percentage of AL change >0.4 mm in the DIMS-myopic group and nonmyopic group was 17.3% and 7.7%, respectively, which was lower than that in the SV myopic group(32.7% and 28.6%, all P<0.05). There was no significant correlation between the change of AL and age and baseline AL in the DIMS-myopic and non-myopic groups after wearing lens for 1 a(all P>0.05); the change of AL in SV-myopic group and non-myopic group was negatively correlated with age(r=-0.446, P=0.001; r=-0.312, P=0.029), and there was no significant correlation with baseline AL(all P>0.05).CONCLUSION: DIMS lens has a good effect on myopia control and prevention in both myopia and non-myopia children with monocular myopia. Children with early pre-myopia can wear DIMS to prevent myopia.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and memory loss, with few effective treatments currently available. The multifactorial nature of AD, shaped by genetic, environmental, and biological factors, complicates both research and clinical management. Recent advances in artificial intelligence (AI) and multi-omics technologies provide new opportunities to elucidate the molecular mechanisms of AD and identify early biomarkers for diagnosis and prognosis. AI-driven approaches such as machine learning, deep learning, and network-based models have enabled the integration of large-scale genomic, transcriptomic, proteomic, metabolomic, and microbiomic datasets. These efforts have facilitated the discovery of novel molecular signatures and therapeutic targets. Methods including deep belief networks and joint deep semi-non-negative matrix factorization have contributed to improvements in disease classification and patient stratification. However, ongoing challenges remain. These include data heterogeneity, limited interpretability of complex models, a lack of large and diverse datasets, and insufficient clinical validation. The absence of standardized multi-omics data processing methods further restricts progress. This review systematically summarizes recent advances in AI-driven multi-omics research in AD, highlighting achievements in early diagnosis and biomarker discovery while discussing limitations and future directions needed to advance these approaches toward clinical application.

AIM: Lipopolysaccharide (LPS) on the cell membrane of gram negative bacteria is closely related to the occurrence and development of severe acute pancreatitis (SAP). Local and systemic monocyte / macrophages play an important role in the inflammatory process of SAP. Artesunate (AS) was reported to protect rats with severe acute pancreatitis by reducing the release of proinflammatory cytokines. This study further explored the molecular mechanism of anti-inflammatory effect of AS. METHODS: The release of proinflammatory cytokines in the supernatant were studied by enzyme-linked immunosorbent assay. Then, the mRNA expressions of PI3K-III and its key molecules in signaling pathway were detected by real-time quantitative PCR. Finally, the phosphorylation levels of PI3KIII were detected by Western blot. RESULTS: AS could significantly inhibit the release of proinflammatory cytokines from mouse macrophage induced by LPS. Autophagy inhibitor 3-methyladenine (3-MA) could significantly inhibit the release of TNF-α from mouse macrophages induced by LPS; LPS significantly increased the mRNA expression of PI3KIII and its key molecules in mouse peritoneal macrophages (PMs). Finally, AS could significantly inhibit the increase of PI3K-III phosphorylation induced by LPS in PMs. CONCLUSION: The anti-inflammatory mechanism of AS is closely related to the inhibition of PI3K-III phosphorylation.

Objective To use feature selection and Likert grading method to quantify the data of lung cancer medical records,to construct a deep extreme learning machine model optimized by the sparrow search algorithm,to classify and predict the syndrome types of traditional Chinese medicine medical record data of lung cancer,and to provide scientific and effective research on syndrome type classification of traditional Chinese medicine.means.Methods The medical records of 497 cases diagnosed with lung cancer from January 2015 to December 2021 were collected from the Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine,and 412 medical records were screened as the research objects.Syndromic factors of different syndromes were summarized by feature selection and feature importance ranking,and the syndrome factors were quantified by Likert grading method.Build a deep extreme learning machine optimized based on the sparrow search algorithm,and train and test the model.Finally,the model built in this paper is compared with other machine learning models according to three evaluation criteria.Results The average classification accuracy of the SSA-DELM model established in this paper was 88.44%,while the average accuracy of the support vector machine and Bayesian network was 83.39%and 84.53%,respectively.The recall rate and F1 value of the SSA-DELM model on the five syndrome types are mostly above 80%,which is also better than other traditional machine learning models.Conclusion The results of the study show that the use of feature selection combined with Likert grading method to quantify the lung cancer medical record data,compared with the 0-1 processing data,can show the characteristics of the data,improve the accuracy of the classification model,SSA-DELM new Compared with other traditional machine learning classification models,the model has better representation learning ability and learning speed.This model not only provides a scientific and technical means for the clinical treatment of lung cancer,but also provides a useful reference for the informatization and intelligent development of TCM syndrome differentiation and treatment.

Bioluminescence is a widespread phenomenon in nature, and luminescent organisms can be found both on land and in the ocean. Among them, luciferase based bioluminescence systems have been widely studied, inspiring the exploration of genetic and epigenetic aspects and the development of a series of related assays for in vivo and in vitro studies. This paper summarizes the recent developments of luciferase based bioluminescence assays in terms of bioluminescence systems, types of luciferases, and the development and application of luciferase bioluminescence assays.

Objective: To investigate the pharmacodynamics of modified Xiaochaihutang granules (MXG) and its active ingredients group (AIG) on gastric ulcer in order to provide scientific basis for the clinical effect and lay foundation for the development of related hospital preparations.Methods: Gastric ulcer models induced by pyloric ligation,acetic acid and ethanol were applied to observe the curative effects of MXG and its AIG, and the effects of MXG and its AIG on gastric secretion, gastric acid content, pepsin activity, superoxide dismutase (SOD) and malondialdehyde(MDA) contents were also studied.Results: Compared to the model control group,MXG and AIG could significantly reduce the ulcer index(P<0.01), total acidity(P<0.01),and pepsin activity (P<0.05 or 0.01), increase the SOD activity (P<0.05)and inhibit the increase of lipid peroxide MDA.Conclusion: MXG and AIG show better control effects on acute and chronic gastric ulcer, and the effects are related to reducing the activity of pepsin, increasing the SOD activity, inhibiting the increase of lipid peroxide MDA and so on.

With the gradual increase of China's total expenditure on research and development (R&D),the national megaprojects implementation of state-dominated megaprojects should solve major national problems and meet the national great strategic demand according joint research of multiunit and multi-discipline.The importance of management for research cooperation agreement and business contracts are increasingly prominent.Based on the author's own experience,a scientific research institute's perspective,contractual agreements on the management audit and review the content of the key points are summarized.It gives the reference for the staff of scientific management.

Objective To explore the effect of paraquat (PQ) on autophagy in human embryonic neural progenitor cells.Methods Using ReNcell CX cell model.After treatment with various concentration (0.00,1.00,10.00 and 100.00 μmol/L) of PQ,CCK8 assay was used to detect the cell viability,the transmission electron microscope was used to observe the the cell ultrastructure,the real-time polymerase chain reaction (RTPCR) was adopted to detect mRNA expression of autophagy related genes which including LC3,Atg12,Atg5,beclinl,Atg7 and mTOR and apoptosis related genes Bax and Bcl-2.Results The cell viability was significantly inhibited after administered with 100.00 μmol/L of PQ (P＜0.01).The mRNA expression of Beclin1 was significantly up-regulated and the emergency of autophagosome were observed at the concentration of 1.00 μ mol/L group,while mild cell apoptosis,significantly up-regulated Atg5,Atg8,Atg7 and Atg12 mRNA expression as well as down-regulated expression of mTOR and Bax were detected at the 10.00 μmol/L of PQ group,howere,the obvious apoptosis and the up-regulated mRNA expression of mTOR and Bax were observed at the 100.00 μmol/L of PQ group,the mRNA expression of Bcl-2 were all down-regulated after administered with 1.00,10.00 and 100.00 μmol/L of PQ and reached the lowest level at the concentration of 10.00 μmol/L.Conclusion PQ can induced autophagy at the low concentration in ReNcell CX cell and autophagy might serve as a protective mechanism to ameliorate PQ-induced cytotoxic effects but apoptosis will be induced at the 100 μmol/L concentration.

Objective To explore the effect of paraquat (PQ) on autophagy in human embryonic neural progenitor cells.Methods Using ReNcell CX cell model.After treatment with various concentration (0.00,1.00,10.00 and 100.00 μmol/L) of PQ,CCK8 assay was used to detect the cell viability,the transmission electron microscope was used to observe the the cell ultrastructure,the real-time polymerase chain reaction (RTPCR) was adopted to detect mRNA expression of autophagy related genes which including LC3,Atg12,Atg5,beclinl,Atg7 and mTOR and apoptosis related genes Bax and Bcl-2.Results The cell viability was significantly inhibited after administered with 100.00 μmol/L of PQ (P＜0.01).The mRNA expression of Beclin1 was significantly up-regulated and the emergency of autophagosome were observed at the concentration of 1.00 μ mol/L group,while mild cell apoptosis,significantly up-regulated Atg5,Atg8,Atg7 and Atg12 mRNA expression as well as down-regulated expression of mTOR and Bax were detected at the 10.00 μmol/L of PQ group,howere,the obvious apoptosis and the up-regulated mRNA expression of mTOR and Bax were observed at the 100.00 μmol/L of PQ group,the mRNA expression of Bcl-2 were all down-regulated after administered with 1.00,10.00 and 100.00 μmol/L of PQ and reached the lowest level at the concentration of 10.00 μmol/L.Conclusion PQ can induced autophagy at the low concentration in ReNcell CX cell and autophagy might serve as a protective mechanism to ameliorate PQ-induced cytotoxic effects but apoptosis will be induced at the 100 μmol/L concentration.

OBJECTIVETo investigate the role of Wnt signaling pathway on paraquat (PQ)induced PC12 cells damage.

METHODSUsing PC12 cells, in this study CCK8 assay was used to detect the effect of cell viability. The cell apoptosis and cell cycle was detected by flow cytometry. The real-time polymerase chain reaction (RT-PCR) was used to measure the mRNA expression of Wnt pathway key genes including Fzd1, Dvl2 and β-catenin and downstream genes including Bax, Bcl2, Survivin, Cyclin D1 and C-myc.

RESULTCompared with the control, PC12 cells viability in 50.00 and 100.00 µmol/L PQ treatment groups were obviously decreased, the cell cycle S phase arrest, and cell apoptosis increased (P<0.05). The 25.00, 50.00 and 100.00 µmol/L PQ treatment groups mRNA expression of Wnt pathway key genes including Fzd1, Dvl2 and β-catenin and downstream genes including apoptosis suppressor genes (Bcl-2 and survivin)and cyclin gene (Cyclin D1) were downregulated (P<0.05). The mRNA expression of pro-apoptosis gene (Bax) and cyclin gene (C-myc) were upregulated (P<0.05).

CONCLUSIONIt suggested that PQ can activate Wnt pathway to regulate downsteam genes expression, resulting in PC12 cell cycle arrest and apoptosis.

Adaptor Proteins, Signal Transducing ; metabolism ; Animals ; Apoptosis ; Apoptosis Regulatory Proteins ; metabolism ; Cell Cycle ; Cell Survival ; Dishevelled Proteins ; Down-Regulation ; Flow Cytometry ; Frizzled Receptors ; metabolism ; Gene Expression ; drug effects ; PC12 Cells ; Paraquat ; toxicity ; Phosphoproteins ; metabolism ; Rats ; Receptors, Neurotransmitter ; metabolism ; Wnt Signaling Pathway