AIM: To investigate the predictive value of serum histone deacetylase 1(HDAC1)and endothelial nitric oxide synthase(eNOS)for infectious endophthalmitis after cataract surgery.METHODS: A total of 362 cataract patients(362 eyes)admitted to our hospital from January 2020 to January 2023 were selected as the research objects. According to the occurrence of postoperative infectious endophthalmitis, they were divided into infection group(15 cases, 15 eyes)and non-infection group(347 cases, 347 eyes). Enzyme linked immunosorbent assay(ELISA)was applied to detect the levels of serum HDAC1 and eNOS in all subjects, and the levels of serum HDAC1 and eNOS in both groups were compared; the influencing factors of infectious endophthalmitis were analyzed by multivariate Logistic regression; the receiver operative curve(ROC)was applied to analyze the predictive value of serum HDAC1 and eNOS levels for postoperative infectious endophthalmitis in cataract patients.RESULTS: The levels of serum HDAC1 and eNOS in the infected group were obviously higher than those in the uninfected group(all P<0.01). Surgical time, vitreous overflow, HDAC1, and eNOS were all risk factors for postoperative infectious endophthalmitis(all P<0.05). ROC results showed that the AUC of HDAC1 and eNOS in predicting postoperative infectious endophthalmitis in cataract patients was 0.878 and 0.877, respectively, with sensitivity of 88.7% and 87.7%, specificity of 70.4% and 7.8%, respectively, while the AUC of the two combination in predicting postoperative infectious endophthalmitis in cataract patients was 0.978, with a sensitivity of 86.7% and a specificity of 85.3%.CONCLUSION:The serum levels of HDAC1 and eNOS in patients with infectious endophthalmitis after cataract surgery are obviously increased, and the combined detection of serum HDAC1 and eNOS can improve the predictive efficacy of infectious endophthalmitis in cataract patients after surgery. Both can provide reference for clinical diagnosis and treatment.

AIM: To investigate the predictive value of serum histone deacetylase 1(HDAC1)and endothelial nitric oxide synthase(eNOS)for infectious endophthalmitis after cataract surgery.METHODS: A total of 362 cataract patients(362 eyes)admitted to our hospital from January 2020 to January 2023 were selected as the research objects. According to the occurrence of postoperative infectious endophthalmitis, they were divided into infection group(15 cases, 15 eyes)and non-infection group(347 cases, 347 eyes). Enzyme linked immunosorbent assay(ELISA)was applied to detect the levels of serum HDAC1 and eNOS in all subjects, and the levels of serum HDAC1 and eNOS in both groups were compared; the influencing factors of infectious endophthalmitis were analyzed by multivariate Logistic regression; the receiver operative curve(ROC)was applied to analyze the predictive value of serum HDAC1 and eNOS levels for postoperative infectious endophthalmitis in cataract patients.RESULTS: The levels of serum HDAC1 and eNOS in the infected group were obviously higher than those in the uninfected group(all P<0.01). Surgical time, vitreous overflow, HDAC1, and eNOS were all risk factors for postoperative infectious endophthalmitis(all P<0.05). ROC results showed that the AUC of HDAC1 and eNOS in predicting postoperative infectious endophthalmitis in cataract patients was 0.878 and 0.877, respectively, with sensitivity of 88.7% and 87.7%, specificity of 70.4% and 7.8%, respectively, while the AUC of the two combination in predicting postoperative infectious endophthalmitis in cataract patients was 0.978, with a sensitivity of 86.7% and a specificity of 85.3%.CONCLUSION:The serum levels of HDAC1 and eNOS in patients with infectious endophthalmitis after cataract surgery are obviously increased, and the combined detection of serum HDAC1 and eNOS can improve the predictive efficacy of infectious endophthalmitis in cataract patients after surgery. Both can provide reference for clinical diagnosis and treatment.

ObjectiveTomatoes are one of the highest-yielding and most widely cultivated economic crops globally, playing a crucial role in agricultural production and providing significant economic benefits to farmers and related industries. However, early blight in tomatoes is known for its rapid infection, widespread transmission, and severe destructiveness, which significantly impacts both the yield and quality of tomatoes, leading to substantial economic losses for farmers. Therefore, accurately identifying early symptoms of tomato early blight is essential for the scientific prevention and control of this disease. Additionally, visualizing affected areas can provide precise guidance for farmers, effectively reducing economic losses. This study combines hyperspectral imaging technology with machine learning algorithms to develop a model for the early identification of symptoms of tomato early blight, facilitating early detection of the disease and visual localization of affected areas. MethodsTo address noise interference present in hyperspectral images, robust principal component analysis (RPCA) is employed for effective denoising, enhancing the accuracy of subsequent analyses. To avoid insufficient information representation caused by the subjective selection of regions of interest, the Otsu’s thresholding method is utilized to extract tomato leaves effectively from the background, with the average spectrum of the entire leaf taken as the primary object of study. Furthermore, a comprehensive spectral preprocessing workflow is established by integrating multivariate scatter correction (MSC) and standardization methods, ensuring the reliability and effectiveness of the data. Based on the processed spectral data, a discriminant model utilizing a linear kernel function support vector machine (SVM) is constructed, focusing on characteristic wavelengths to improve the model's discriminative capability. ResultsCompared to full-spectrum modeling, this approach results in an 8.33% increase in accuracy on the test set. After optimizing the parameters of the SVM model, when C=1.64, the accuracies of the training set and test set reach 91.67% and 94.44%, respectively, demonstrating a 1.19% increase in training set accuracy compared to the unoptimized model, while maintaining the same accuracy on the test set, effectively alleviating issues of underfitting. ConclusionThis study successfully establishes an early discriminant model for tomato early blight using hyperspectral imaging and achieves visualization of early symptoms. Experimental results indicate that the SVM discriminant model based on characteristic wavelengths and a linear kernel function can effectively identify early symptoms of tomato early blight. Visualization of these symptoms in terms of disease probability allows for a more intuitive detection of early diseases and timely implementation of corresponding control measures. This visual analysis not only enhances the efficiency of disease identification but also provides farmers with more straightforward and practical information, aiding them in formulating more reasonable prevention strategies. These research findings provide valuable references for the early identification and visualization of plant diseases, holding significant practical implications for monitoring, identifying, and scientifically preventing crop diseases. Future research could further explore how to apply this model to disease detection in other crops and how to integrate IoT technology to create intelligent disease monitoring systems, enhancing the scientific and efficient management of crops.

OBJECTIVE To optimize the preparation technology of Jineijin danggui ruchuang ointment and to establish its quality standard. METHODS Using oil phase dosage， emulsifier dosage and emulsification temperature as the indicators， the preparation technology of Jineijin danggui ruchuang ointment was optimized by response surface method. Gallus gallus domesticus and Angelica sinensis in the ointment were identified by TLC. The property of the ointment was observed， and its particle size and deliverable volume were inspected according to Chinese Pharmacopoeia. The contents of uridine， ferulic acid and ligustilide in the ointment were determined by high-performance liquid chromatography. RESULTS The optimal preparation technology of Jineijin danggui ruchuang ointment was as follows： 4.0 g of white vaseline， 7.0 g of liquid paraffin， 5.0 g of lanolin （oil phase）， 0.44 g of triethanolamine as the emulsifier， and emulsification temperature of 78 ℃ . Jineijin danggui ruchuang ointment prepared according to the optimal preparation method was a beige paste， and its particle size and deliverable volume inspection all met the requirements of the Chinese Pharmacopoeia. The identification of TLC for G. gallus domesticus and A. sinensis obtained satisfactory results. The linear ranges of uridine， ferulic acid and ligustilide were 1.6-25.6 μg/mL， 0.003 15-0.100 8 mg/mL， 0.006- 0.192 mg/mL （all r＞0.999）. RSD for the inspection， stability， reproducibility and recovery tests were all less than 2%（ n＝6）. The average contents of uridine， ferulic acid and ligustilide were 0.081 2， 0.100 0 and 0.396 9 mg/g， respectively. CONCLUSIONS The optimal preparation technology can be used for the production of the in-hospital preparation of Jineijin danggui ruchuang ointment； the content determination method can be used for the quality control of the ointment.

OBJECTIVE To investigate the effects and potential mechanism of Qiangxin decoction on mitochondrion of rats with chronic heart failure （CHF）. METHODS The CHF model was established by ligating the left anterior descending branch of the coronary artery. Modeled rats were divided into model group， Qiangxin decoction low-dose and high-dose groups （12.25， 24.50 g/kg， calculated by crude drug）， and chemical medicine group （Sacubitril valsartan sodium tablets， 10.42 mg/kg）， with 10 rats in each group； control group was set up without treatment. Each group of rats was orally administered with the corresponding medication or normal saline twice a day for 28 consecutive days. After the last medication， the contents of N-terminal pro-brain natriuretic peptide （NT-proBNP） and adenosine triphosphate （ATP） in serum and phosphatidic acid （PA） and cardiolipin （CL） in myocardial tissue were all detected； the pathological damage and collagen fibrosis of rat myocardial tissue were observed； the apoptosis of myocardial cells was determined； the ultrastructure of myocardial tissue was observed； the protein expressions of mitofusin 1 （Mfn1）， Mfn2， optic atrophy protein 1 （OPA1） and dynamin-related protein 1 （Drp1） were all detected in myocardial tissue. RESULTS Compared with control group，the serum content of NT-proBNP， apoptotic rate of myocardial cells， and relative expressions of S-OPA1 and Drp1 proteins were all increased significantly； serum content of ATP，contents of PA and CL， and relative expressions of Mfn1， Mfn2 and L-OPA1 proteins were all significantly reduced （P＜0.05）. There were abnormal membrane tissue structure in various layers of myocardial tissue， degeneration and necrosis of myocardial cells， and severe fibrosis； the mitochondria were swollen， with reduced or absent cristae， and uneven matrix density. After intervention with Qiangxin decoction， the levels of the aforementioned quantitative indicators in serum and myocardial tissue of rats （excluding CL content in the Qiangxin decoction low- dose group） were significantly reversed （P＜0.05）； the pathological damage of myocardial tissue had significantly improved， fibrosis had significantly reduced， mitochondrial morphology tended to be normal， cristae had increased， and matrix density was uniform. CONCLUSIONS Qiangxin decoction can regulate myocardial mitochondrial function and structural integrity of CHF rats， thereby improving myocardial energy metabolism and antagonizing myocardial fibrosis， the mechanism of which may be associated with activating PA/Mfn/CL signaling pathway.

OBJECTIVE To investigate the effects and potential mechanism of Qiangxin decoction on mitochondrion of rats with chronic heart failure （CHF）. METHODS The CHF model was established by ligating the left anterior descending branch of the coronary artery. Modeled rats were divided into model group， Qiangxin decoction low-dose and high-dose groups （12.25， 24.50 g/kg， calculated by crude drug）， and chemical medicine group （Sacubitril valsartan sodium tablets， 10.42 mg/kg）， with 10 rats in each group； control group was set up without treatment. Each group of rats was orally administered with the corresponding medication or normal saline twice a day for 28 consecutive days. After the last medication， the contents of N-terminal pro-brain natriuretic peptide （NT-proBNP） and adenosine triphosphate （ATP） in serum and phosphatidic acid （PA） and cardiolipin （CL） in myocardial tissue were all detected； the pathological damage and collagen fibrosis of rat myocardial tissue were observed； the apoptosis of myocardial cells was determined； the ultrastructure of myocardial tissue was observed； the protein expressions of mitofusin 1 （Mfn1）， Mfn2， optic atrophy protein 1 （OPA1） and dynamin-related protein 1 （Drp1） were all detected in myocardial tissue. RESULTS Compared with control group，the serum content of NT-proBNP， apoptotic rate of myocardial cells， and relative expressions of S-OPA1 and Drp1 proteins were all increased significantly； serum content of ATP，contents of PA and CL， and relative expressions of Mfn1， Mfn2 and L-OPA1 proteins were all significantly reduced （P＜0.05）. There were abnormal membrane tissue structure in various layers of myocardial tissue， degeneration and necrosis of myocardial cells， and severe fibrosis； the mitochondria were swollen， with reduced or absent cristae， and uneven matrix density. After intervention with Qiangxin decoction， the levels of the aforementioned quantitative indicators in serum and myocardial tissue of rats （excluding CL content in the Qiangxin decoction low- dose group） were significantly reversed （P＜0.05）； the pathological damage of myocardial tissue had significantly improved， fibrosis had significantly reduced， mitochondrial morphology tended to be normal， cristae had increased， and matrix density was uniform. CONCLUSIONS Qiangxin decoction can regulate myocardial mitochondrial function and structural integrity of CHF rats， thereby improving myocardial energy metabolism and antagonizing myocardial fibrosis， the mechanism of which may be associated with activating PA/Mfn/CL signaling pathway.

AIM: To investigate the expression changes and significance of serum microRNA-34a-5p(miR-34a-5p)and silent information regulator T1(SIRT1)in patients with endophthalmitis after cataract surgery.METHODS: Patients with endophthalmitis after cataract surgery from May 2020 to May 2024 were selected as infection group(20 cases), and patients without endophthalmitis were selected as control group(74 cases). Serum SIRT1 levels were detected by ELISA; the serum level of serum miR-34a-5p was detected by qRT-PCR; the correlation between miR-34a-5p and SIRT1 was analyzed by Pearson method; Logistic regression was used to analyze the influencing factors of endophthalmitis after cataract operation. Receiver operating characteristic(ROC)curve was drawn to analyze the diagnostic value of serum miR-34a-5p and SIRT1 levels in postoperative endophthalmitis.RESULTS: Compared with the control group, the serum level of miR-34a-5p in the infected group was significantly increased(P<0.001), and the serum level of SIRT1 was significantly decreased(P<0.001). Correlation analysis showed that miR-34a-5p was negatively correlated with SIRT1(r=-0.421, P<0.001). Logistic multivariate regression analysis showed that miR-34a-5p was an independent risk factor affecting endophthalmitis infection after cataract surgery(OR=3.532, P<0.05), and SIRT1 was a protective factor affecting endophthalmitis infection after cataract surgery(OR=0.875, P<0.05). The ROC curve showed that the area under curve(AUC)of serum miR-34a-5p combined with SIRT1 in the diagnosis of postoperative endophthalmitis was 0.933(95%CI: 0.861-0.975).CONCLUSION:Serum levels of miR-34a-5p are highly expressed and SIRT1 is lowly expressed in postoperative endophthalmitis, they are closely related to the occurrence and development of endophthalmitis after cataract surgery.

AIM: To explore the value of changes in the serum expression levels of triggering receptor expressed on myeloid cells-1(TREM-1)and matrix metalloproteinase-9(MMP-9)in early clinical diagnosis of postoperative endophthalmitis in patients with cataract surgery.METHODS: A total of 21 patients who underwent cataract surgery with infectious endophthalmitis in our hospital from May 2021 to May 2023 were selected as the study subjects(endophthalmitis group), and another 100 patients who underwent cataract surgery without endophthalmitis were selected as the non-endophthalmitis group. The serum levels of TREM-1, MMP-9, and the expression levels of inflammatory factors such as interleukin-1β(IL-1β), IL-17, and tumor necrosis factors-α(TNF-α)were detected and compared between the endophthalmitis group and the non-endophthalmitis group. The correlation between TREM-1 and MMP-9 was analyzed by Pearson method. Logistic regression was applied to analyze the factors that affected the occurrence of endophthalmitis in cataract patients after surgery. Receiver operating characteristic(ROC)curve was applied to analyze the early clinical diagnostic efficacy of TREM-1 and MMP-9 levels for postoperative endophthalmitis in cataract patients.RESULTS: Compared with the non-endophthalmitis group after cataract surgery, the expression levels of serum TREM-1, MMP-9, and inflammatory factors IL-1β, IL-17, and TNF-α in the endophthalmitis group were obviously increased(all P<0.05), and the TREM-1 was positively correlated with MMP-9(r=0.389, P<0.001). Logistic regression results showed that elevated levels of serum TREM-1 and MMP-9 expression, and vitreous overflow were independent risk factors for postoperative endophthalmitis in cataract patients(all P<0.05). ROC curve showed that the area under the curve(AUC)of TREM-1, MMP-9, and their combination in diagnosing postoperative endophthalmitis in cataract patients was 0.845, 0.844, and 0.935, respectively, and the clinical efficacy of the combination of the two in early diagnosis of postoperative endophthalmitis in cataract patients was better than that of serum TREM-1 and MMP-9 alone(all P<0.05).CONCLUSION: The expression levels of serum TREM-1 and MMP-9 in patients with endophthalmitis after cataract surgery are abnormally elevated, and the combination of the two has high clinical application value in early diagnosis of endophthalmitis after cataract surgery.

ObjectiveEarly detection of crop diseases is crucial for effective agricultural management and yield protection. While visible light imaging has been widely applied for disease detection due to its accessibility and non-destructive nature, most existing methods primarily focus on identifying diseases during the symptomatic phase, when visual symptoms are already prominent. However, detecting plant diseases during the incubation period—when symptoms are still subtle or invisible—remains a major challenge due to the lack of distinctive visual cues and limited research methodologies. This study aims to address this gap by proposing a novel three-channel recognition model to accurately identify early blight symptoms during the incubation stage in Solanaceae crops, particularly in chili and tomato, using only visible light images. MethodsWe established a controlled experimental setup in which healthy leaves and leaves inoculated with early blight pathogens were photographed continuously over time. A total of 1 258 visible light images were collected, capturing various stages of disease progression. From these images, lesion regions were manually annotated. To quantitatively characterize early and subtle color changes within the lesion areas, we extracted color moments—first-order (mean), second-order (standard deviation), and third-order (skewness)—from multiple color spaces, including Lab and HSV. By analyzing the temporal variation of these color moments across disease progression stages, we identified the first-order moment of the saturation (S) channel in the HSV color space as the most sensitive indicator of lesion development on inoculated leaves. Using this insight, we defined four disease categories: healthy, incubation stage, early stage, and late stage. Subsequently, a three-channel classification model was constructed by integrating features from three color channels that provided complementary information. Three-channel models were constructed based on R-G-B, L-a-b, and H-S-V color spaces, respectively, to evaluate performance across different crops and to determine which color representation provides the most discriminative power for identifying disease symptoms during the incubation period. ResultsThe proposed models demonstrated strong classification performance. The three-channel model built using the Lab color space achieved a 94.44% accuracy in recognizing the incubation stage of early blight in pepper, effectively distinguishing subtle pre-symptomatic features from healthy tissue. The model based on the HSV color space achieved 100% accuracy in detecting incubation-stage symptoms in tomato, underscoring the discriminative power of S-channel variations in this context. These results confirm the model’s capability to identify early blight before visible lesions become pronounced, which is essential for timely disease intervention. ConclusionThis study presents a new technical pathway for early-stage disease detection using visible light images by focusing on subtle color feature changes during the incubation period. The proposed three-channel recognition model effectively identifies early blight in both chili and tomato, offering a non-destructive, low-cost, and easily deployable solution for early warning and precision agriculture. Furthermore, this framework can be generalized to other crops and diseases where early detection plays a critical role in minimizing yield losses and ensuring sustainable production. The method lays a solid foundation for future research in pre-symptomatic plant disease recognition and provides valuable tools for intelligent crop monitoring and precision management systems.

Objective To observe the value of ultrasound for diagnosing esophageal foreign body in children.Methods Ultrasonic manifestations of 45 children with esophageal foreign body were retrospectively analyzed,and the diagnostic value of ultrasound was evaluated.Results Among 45 cases,cervical esophageal foreign body was found in 40 cases(40/45,88.89%),while thoracic esophageal foreign body was detected in 5 cases(5/45,11.11%).Ultrasound correctly diagnosed 44 cases of esophageal foreign body,with an accuracy rate of 97.78%(44/45).Among different kinds of foreign bodies,fruit pits mainly presented as arc strong echogenicity accompanied by behind sound shadow,plastic stickers exhibited strong echogenicity with clear edges in the form of stripes,fish bones presented as irregular or slender strong echogenicity,button batteries demonstrated in arc/short strip strong echogenicity accompanied by sound shadows in the rear,while cooked albumen appeared as irregular chunks without echo,and the sarcocarp,toy parts and coins often presented as different shaped moderate/strong/mixed echogenicity,metallic foreign bodies with"comet tail"sign behind the strong echoes.Among 44 cases ultrasound correctly diagnosed esophageal foreign body,no abnormal changes of surrounding esophageal wall was found in 31 cases(31/44,70.45%),whereas mucosal necrosis injury and ulcer formation were detected in 7 cases(7/44,15.91%),inflammatory edema of esophageal wall were noticed in 3 cases(3/44,6.82%),and 3 cases(3/44,6.82%)were found with esophageal perforation.Conclusion Ultrasound was convenient and feasible for diagnosing esophageal foreign body in children with high accuracy.