ObjectiveThe widespread adoption of portable fundus cameras for primary care and community screening is hindered by limitations in current autofocus(AF) technologies. Image-based methods relying on sharpness evaluation require iterative searches, resulting in slow convergence, while projection-based techniques are susceptible to optical artifacts and calibration errors. To address these challenges, this study introduces a novel AF system based on direct wavefront sensing, designed to deliver simultaneous high speed, high precision, and operational robustness within the compact form factor essential for portable ophthalmic devices. MethodsOur approach fundamentally reimagines the AF process by directly measuring the ocular wavefront aberration. We developed a custom portable fundus camera integrating a miniaturized Shack-Hartmann wavefront sensor (SHWS) into the optical path. An 850 nm laser diode projects a point source onto the retina via oblique illumination to minimize corneal reflections. Light scattered from this spot carries the eye’s refractive error through the imaging optics and is directed to the SHWS, positioned at a plane optically conjugate to the primary color CMOS imaging sensor. A microlens array within the SHWS samples the incident wavefront, generating a pattern of focal spots on a CCD. Real-time centroid analysis of these spots provides a map of local wavefront slopes. These measurements are processed through a singular value decomposition (SVD) algorithm to fit a Zernike polynomial basis set, enabling real-time reconstruction of the wavefront phase. The defocus component (S) is extracted from the second-order Zernike coefficients, providing a direct, quantitative measure of the refractive error in diopters. This value serves as a precise error signal in a closed-loop control system, which commands a voice-coil actuated focusing lens to its null position in a single, deterministic step, eliminating the need for iterative search algorithms. ResultsComprehensive evaluation demonstrated the system’s high performance. Testing on a calibrated model eye (OEMI-7) established a highly linear relationship between the computed defocus S and the focusing lens position across a ±20 Diopter (D) compensation range, achievable within a 5 mm mechanical travel. The system achieved a focusing precision of 0.08 D, corresponding to an 18-fold improvement over a conventional projection spot-size method tested under identical conditions. The total focus acquisition time, encompassing wavefront measurement, computation, and lens actuation, averaged under 0.5 s. Clinical validation with 25 human volunteers (50 eyes, refractive range -15 D to +10 D) confirmed practical efficacy. The wavefront-sensing AF succeeded in 92% of attempts with a mean time of 0.5 s, substantially outperforming a projection-based benchmark which achieved only a 32% success rate with an average time of 4.25 s. The system provided instantaneous directional guidance and maintained stability during minor ocular movements. Objective assessment of image quality, via amplitude contrast of retinal vasculature, showed consistent and significant enhancement following AF correction across the entire tested diopter range. ConclusionThis work successfully implements and validates a direct wavefront-sensing autofocus paradigm for portable fundus cameras. By directly quantifying and compensating for the optical defocus aberration, this method bypasses the fundamental limitations of image-processing and projection-based techniques, enabling rapid, precise, and deterministic diopter compensation. The developed system delivers an exceptional combination of a wide operational range (±20 D), high accuracy (0.08 D), fast convergence (0.5 s), and a compact physical footprint. This technology provides a practical and high-performance focusing solution capable of enhancing the reliability, throughput, and diagnostic utility of portable retinal imaging in large-scale screening applications. Future efforts will be directed towards system cost optimization and performance adaptation for diverse ocular conditions.

Five saponins were isolated from the kernels of Momordica cochinchinensis, by macroporous resin, silica gel, ODS column chromatography, and semi preparative HPLC. Based on MS and NMR analysis, combining with alkaline hydrolysis and acid hydrolysis, their structures were identified as: gypsogenin-3-O-{β-D-galactopyranosyl (1→2)-[α-L-rhamnopyranosyl (1→3)]-β-D-glucuropyranonosyl}-28-O-β-D-xylopyranosyl (1→3)-[β-D-xylopyranosyl (1→4)]-α-L-rhamnopyranosyl (1→2)-β-D-fucopyranoside (1), quillaic acid-3-O-{β-D-galactopyranosyl (1→2)-[α-L-rhamnopyranosyl (1→3)]-β-D-glucuropyranonosyl}-28-O-β-D-xylopyranosyl (1→3)-[β-D-xylopyranosyl (1→4)]-α-L-rhamnopyranosyl (1→2)-β-D-fucopyranoside (2), gypsogenin-3-O-β-D-galactopyranosyl (1→2)-[α-L-rhamnopyranosyl (1→3)]-β-D-glucuropyranonoside sodium (3), quillaic acid-3-O-β-D-galactopyranosyl (1→2)-[α-L-rhamnopyranosyl (1→3)]-β-D-glucuropyranonoside sodium (4), 18α-quillaic acid-3-O-β-D-galactopyranosyl (1→2)-[α-L-rhamnopyranosyl (1→3)]-β-D-glucuropyranonoside (5). Compounds 1-5 were new compounds, and named as mubezhisides A, B, C, D, E, respectively. They all could obviously inhibited the growth of Candida albicans, C. parapsilosis, and C. tropicalis.

As an important endocrine organ of human body,adipose tissue secrets a large amount of endocrine fac-tors that regulate a variety of physiological functions,and role of adiponectin in cardiovascular system is especially important.At the cellular and molecular level,adiponectin possesses profound anti-inflammatory,anti-oxidative and anti-apoptotic effects,which can reduce various pathogenic factors of cardiovascular diseases(CVD).In ad-vanced stage of CVD,the expression of adiponectin in adipose tissue as well as its circulating level compensatively increased.Therefore,adiponectin has a protective effect on the cardiovascular system,and increased adiponectin level may suggest severe CVD.In this review article,we systematically introduced the role of adiponectin in CVD and discussed its application prospects as a clinical biomarker.

Objective To investigate the efficacy of an interpretable integrated learning model combining clinical indicators,CT image features and radiomics features for the differential diagnosis of lung squamous cell carcinoma and adenocarcinoma,so as to provide references for clincal treatment decisions.Methods A retrospective analysis was conducted on clinical and imaging data from 220 patients(231 lesions)with primary non-small cell lung cancer at Jiangjin Central Hospital of Chongqing(Center 1)and 83 patients(84 lesions)at Chongqing General Hospital(Center 2).In Center 1,the squamous cell carcinoma group consisted of 60 patients(60 lesions),while the adenocarcinoma group included 160 patients(171 lesions).In Center 2,the squamous cell carcinoma group comprised 18 patients(18 lesions),and the adenocarcinoma group involved 65 patients(66 lesions).The patients were categorized into squamous cell carcinoma and adenocarcinoma groups based on pathological findings.Center 1 was randomly partitioned into a training set and a validation set at a 7∶3 ratio,while Center 2 served as the independent test set.Firstly,a deep learning model,VB-Net,was used to automatically segment the tumor region on the lung window image;secondly,the SMOTE(synthetic minority oversampling technique)method was used to balance the categories in the training set and standardize the extracted features with Z-scores;thirdly,the least absolute shrinkage and selection operator(LASSO)were used to select the optimal radiomics features and calculate the radiomics score(Radscore),and univariate and multivariate logistic regression was used to screen clinical indicators and independent clinical factors for differentiating lung squamous cell carcinoma and adenocarcinoma in CT image features;finally,three ensemble learning algorithms(AdaBoost,Bagging decision tree and XGBoost)were used to combine independent clinical factors and Radscore to construct the model.The receiver operating characteristic(ROC)curve was used to evaluate the diagnostic performance of the models.SHAP technique was used to analyze the feature contribution and model decision-making process.Results Among the evaluated ensemble models,AdaBoost and Bagging decision trees demonstrated overfitting tendencies.In contrast,the XGBoost model showed the best performance,achieving AUC values of 0.939,0.887 and 0.853 in the training,validation and independent test sets,respectively.SHAP indicated that Radscore was the most important feature affecting the performance of the model.The decision diagram enabled the visualization of the diagnostic process of the model.Conclusion The interpretable integrated learning model based on clinical indicators,CT image and radiomics features is expected to non-invasively diagnose lung squamous cell carcinoma and adenocarcinoma before treatment and assist clinicians make treatment decisions as early as possible.[Chinese Medical Equipment Journal,2025,46(7):12-20]

Objective To investigate the effects of miR-362-3p on the proliferation,migration and invasion of esophageal cancer EC9706 cells and its molecular mechanism.Methods The cancerous tissues and adjacent tissues of 30 patients with esophageal cancer from January 2018 to January 2020 were selected,and human normal esophageal epithelial cells HET-1 A and esophageal cancer cells EC9706,TE10,KYSE-140,KYSE-150 were cultured in vitro.Real-time fluorescence quantitative PCR(RT-qPCR)was used to detect the expression levels of miR-362-3p and dual specificity phosphatase 10(DUSP10)mRNA in tissues and cells.EC9706 cells were divided into NC group(normally cultured),miR-NC group(transfected miR-362-3p mimic NC)and miR-362-3p group(transfected miR-362-3p mimic),si-NC group(transfected with DUSP10 siRNA NC),si-DUSP10 group(transfected with DUSP10 siRNA),miR-362-3p+pcDNA group(co-transfected with miR-362-3p mimic and pcDNA3.1-DUSP10 NC)and miR-362-3p+pcDNA-DUSP10 group(co-transfected with miR-362-3p mimic and pcDNA3.1-DUSP10).The expression levels of miR-362-3p and DUSP10 mRNA in each group were detected by RT-qPCR.Cell proliferation activity was detected by MTT assay.Cell migration and invasion were detected by Transwell assay.The expressions of DUSP10,CyclinD1,p21,matrix metalloproteinase(MMP)-2 and MMP-9 were detected by Western blot.Dual luciferase reporter gene assay was used to detect the targeting relationship between miR-362-3p and DUSP10.Results The expression of miR-362-3p was high and DUSP10 was low in esophageal cancer tissues and cells.Overexpression of miR-362-3p or knockdown of DUSP10 expression significantly reduced the activity,migration and invasion number and the expression of CyclinD1,MMP-2 and MMP-9,and significantly increased the expression of p21 in EC9706 cells(P＜0.05).miR-362-3p targeted the expression of DUSP10(P＜0.05).And up-regulation of DUSP10 expression partially reversed the effects of overexpression of miR-362-3p on the proliferation,migration and invasion of EC9706 cells(P＜0.05).Conclusion miR-362-3p can inhibit the proliferation,migration and invasion of EC9706 cells by down-regulating the expression of DUSP10.

Objective To explore the brain damage of SD rats under different time points of hypobaric hypoxia exposure.Methods A rat high-altitube cerebral edema(HACE)model was constructed by simulating an altitude of 6 000 m in a hypobaric hypoxia animal experimental chamber.Thirty-six SD male rats were randomly divided into the control group and the hypobaric hypoxia exposure 3,7 and 14 d groups,with 9 rats in each group.Except for the control group,the rats in each group were continuously exposed to hypobaric hypoxia for 3,7,and 14 d.At the end of the modeling period,serum was collected by blood sampling via the abdominal aorta,and brain tissue samples were taken.The wet-to-dry ratio(W/D)of brain tissue was calculated,and the levels of relevant oxidative enzymes in serum and brain tissue were measured.The expression levels of hypoxia-inducible factor-1α(HIF-1α)and aquaporin 4(AQP4)mRNAs in brain tissue were detected by real-time fluorescence quantitative polymerase chain reaction.Results The W/D of brain tissues in the control group and the group exposed to hypobaric hypoxia for 3,7 and 14 d were 4.46±0.12,4.98±0.16,5.07±0.18 and 4.95±0.07;the superoxide dismutase contents were(111.86±2.45),(90.73±1.48),(79.64±2.56)and(55.33±1.45)U·g-1;the glutathione contents were(126.91±5.18),(125.26±1.53),(56.20±2.17)and(122.73±1.78)μg·mL-1;the malondialdehyde contents were(230.94±2.00),(362.65±3.28),(407.34±3.47)and(237.50±1.59)nmol·g-1;the relative expression levels of HIF-1 α mRNA were 1.00±0,2.99±0.49,4.72±0.49 and 1.91±0.28;the relative expression levels of AQP4 mRNA were 1.00±0,2.62±0.34,8.38±0.84 and 5.27±0.42,respectively.Statistically significant differences were found between the above indexes in the 3,7 and 14 d of hypobaric hypoxia exposure group compared with the control group(P＜0.05,P＜0.01).Conclusion Different time of hypobaric hypoxia exposure can up-regulate the expression of AQPs proteins in HACE rats and cause the disruption of the blood-brain barrier,and the HACE model constructed in the hypobaric hypoxia chamber with 6 000 m intervention for 7 d was more stable.

Aim To establish and evaluate an alternative meth-od for detecting skin sensitization of cosmetics based on local lymph node assay using bromodeoxyuridine(BrdU)with flow cytometry(FCM).Methods(1)25％hexyl cinnamic alde-hyde(HCA)was chosen as a positive control with an acetone:olive oil(4∶1,V/V,AOO)mixture as a vehicle control for the experiment.The dorsal sides of both ears of mice were treated with test solutions on day 1,day 2,and day 3.Brdu solution was injected inter-peritoneally on day 5.On day 6,the bilateral ears and mandibular lymph nodes were excised,and the number of Brdu positive cells was measured by flow cytometry.The stim-ulation index(SI)was calculated to identify whether it was ≥3,in order to establish the method of LLNA:Brdu-FCM.(2)BrdU-FCM test was conducted using a blind method with the fif-teen reference substances listed in OECD TG429 whose skin sensitization potentials were known.The test substances were dissolved in AOO,N,N-dimethylformamide(DMF)or dimeth-yl sulfoxide(DMSO)at three different concentrations.Tests were performed the same as above.SI and EC2.7 were calculat-ed to evaluate whether the test substance was categorized as a skin sensitizer.The reliability and accuracy of the method were validated by comparing the classification of test substances with that in OECD TG429.Results The SI for 25％HCA was 3.9,showing positive in the skin sensitization test.It demonstrated that the LLNA:Brdu-FCM test method was properly implemen-ted.Nine test substances(2,4-dinitrochlorobenzene,4-pheny-lenediamine,cobalt chloride,2-mercaptobenzothiazole,hexyl-cinnamaldehyde,eugenol,phenyl benzoate,cinnamic alcohol,imidazolidinyl urea)were positive,and six test substances(methyl methacrylate,chlorobenzene,isopropanol,lactic acid,methyl salicylate,salicylic acid)were negative.The method was evaluated with sensitivity of 90％,specificity of 100％,positive prediction rate of 100％,negative prediction rate of 83％,false positive rate of 0％,false negative rate of 17％and accuracy of 93％.The LLNA:BrdU-FCM assay could correctly categorize the test substances that were skin sensitizers or non-sensitizers.Conclusion The LLNA:BrdU-FCM assay appears to be a relia-ble predictor of skin sensitization protential of chemicals,and it is expected to an alternative method for identifying skin sensitization as a supplementary in safety evaluation of cosmetic ingredient.

Objective:To evaluate the relationship between the neutrophil-to-lymphocyte ratio (NLR) during the perioperative period and early postoperative recurrence in patients with advanced gastric cancer.Methods:In this prospective study, 188 American Society of Anesthesiologists Physical Status classification Ⅰ or Ⅱ patients, aged 18-75 yr, with a body mass index of 20-30 kg/m 2, with radiological staging of T 2-4N xM 0, underwent elective gastric cancer radical surgery under general anesthesia at the Fourth Hospital of Hebei Medical University from January 2018 to April 2022, were selected. The NLR was measured at 1 day before operation and postoperative days 1, 3 and 5. The difference between postoperative and preoperative NLR (ΔNLR) was calculated. Based on the presence or absence of tumor recurrence and/or metastasis within 2 yr after surgery, the patients were divided into recurrence group and non-recurrence group. The Cox proportional hazards regression model was employed to evaluate the early postoperative recurrence and perioperative NLR in patients with advanced gastric cancer. Results:A total of 171 patients ultimately completed the follow-up. There were 77 cases in recurrence group and 94 in non-recurrence group. Compared to non-recurrence group, NLR and ΔNLR were significantly increased on the 5th day after operation in recurrence group ( P<0.05). The elevated NLR and ΔNLR at postoperative day 5 were independent risk factors for recurrence within 2 yr in patients with advanced gastric cancer ( HR=1.026, P<0.05). Conclusions:NLR may not be associated with the risk of early postoperative recurrence in the patients with advanced gastric cancer, and further evaluation with large-scale studies is needed.

Non-alcoholic fatty liver disease(NAFLD)is an increasingly serious chronic liver disease worldwide,with complex pathogenesis and many challenges in diagnosis and treatment.In recent years,genome-wide studies have revealed the important roles of epigenetic modifications in the development of NAFLD,especially the involvement of imprinted genes.The parental origin effect of NAFLD suggests that imprinted genes play a key role in its pathogenesis.The Dlk1-Dio3 gene cluster,as one of the largest clusters of imprinted genes,has become a focus of research because of its central role in embryonic devel-opment and metabolic regulation.This review explores the structure and function of the Dlk1-Dio3 gene cluster and its potential role in NAFLD pathogenesis.This gene cluster plays a key role in the"second strike"of NAFLD through a complex regulatory network that affects biological processes such as lipid me-tabolism,glucose metabolism,inflammatory response and oxidative stress in the liver.Specifically,DLK1 acts as a negative regulator,inhibiting adipocyte differentiation and thus reducing hepatic lipid ac-cumulation,while DIO3 promotes adipocyte differentiation and increases hepatic lipid accumulation by regulating thyroid hormone conversion.In addition,the Dlk1-Dio3 gene cluster regulates lipid metabolism by modulating multiple microRNAs(e.g.miR-370,miR-122,etc.).miR-370 exacerbates lipid accu-mulation by inhibiting CPT1α;miR-122 up-regulates SREBP-1c and promotes fatty acid synthesis;and miR-379/410 clusters increase lipid scavenging capacity by decreasing lipid accumulation.Long non-coding RNA MEG3 also plays an important role in NAFLD.meg3 promotes fatty acid oxidation and re-duces lipid droplet accumulation by up-regulating SIRT6,and attenuates lipid synthesis by inhibiting the Wnt/mTOR signaling pathway through binding to miR-21.In terms of insulin resistance,DLK1 inhibits gluconeogenesis and promotes fatty acid oxidation by activating the PI3K/Akt/mTOR pathway,thereby reducing hepatic lipid burden.DIO3,on the other hand,affects insulin sensitivity by regulating thyroid hormones and promotes the development of NAFLD.Meanwhile,the Dlk1-Dio3 gene cluster also plays an important role in regulating oxidative stress and inflammatory responses,and DLK1 attenuates hepatic oxi-dative stress injury by inhibiting inflammatory factor expression and activating antioxidant signaling.Taken together,the Dlk1-Dio3 gene cluster plays a multidimensional role in the occurrence and develop-ment of NAFLD,providing potential biomarkers and therapeutic targets.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.