Metabolomics covers a wide range of applications in life sciences, biomedicine, and phytology. Data acquisition (to achieve high coverage and efficiency) and analysis (to pursue good classification) are two key segments involved in metabolomics workflows. Various chemometric approaches utilizing either pattern recognition or machine learning have been employed to separate different groups. However, insufficient feature extraction, inappropriate feature selection, overfitting, or underfitting lead to an insufficient capacity to discriminate plants that are often easily confused. Using two ginseng varieties, namely Panax japonicus (PJ) and Panax japonicus var. major (PJvm), containing the similar ginsenosides, we integrated pseudo-targeted metabolomics and deep neural network (DNN) modeling to achieve accurate species differentiation. A pseudo-targeted metabolomics approach was optimized through data acquisition mode, ion pairs generation, comparison between multiple reaction monitoring (MRM) and scheduled MRM (sMRM), and chromatographic elution gradient. In total, 1980 ion pairs were monitored within 23 min, allowing for the most comprehensive ginseng metabolome analysis. The established DNN model demonstrated excellent classification performance (in terms of accuracy, precision, recall, F1 score, area under the curve, and receiver operating characteristic (ROC)) using the entire metabolome data and feature-selection dataset, exhibiting superior advantages over random forest (RF), support vector machine (SVM), extreme gradient boosting (XGBoost), and multilayer perceptron (MLP). Moreover, DNNs were advantageous for automated feature learning, nonlinear modeling, adaptability, and generalization. This study confirmed practicality of the established strategy for efficient metabolomics data analysis and reliable classification performance even when using small-volume samples. This established approach holds promise for plant metabolomics and is not limited to ginseng.

Acute respiratory distress syndrome (ARDS) is a common respiratory emergency, but current clinical treatment remains at the level of symptomatic support and there is a lack of effective targeted treatment measures. Our previous study confirmed that inhalation of hydrogen gas can reduce the acute lung injury of ARDS, but the application of hydrogen has flammable and explosive safety concerns. Drinking hydrogen-rich liquid or inhaling hydrogen gas has been shown to play an important role in scavenging reactive oxygen species and maintaining mitochondrial quality control balance, thus improving ARDS in patients and animal models. Coral calcium hydrogenation (CCH) is a new solid molecular hydrogen carrier prepared from coral calcium (CC). Whether and how CCH affects acute lung injury in ARDS remains unstudied. In this study, we observed the therapeutic effect of CCH on lipopolysaccharide (LPS) induced acute lung injury in ARDS mice. The survival rate of mice treated with CCH and hydrogen inhalation was found to be comparable, demonstrating a significant improvement compared to the untreated ARDS model group. CCH treatment significantly reduced pulmonary hemorrhage and edema, and improved pulmonary function and local microcirculation in ARDS mice. CCH promoted mitochondrial peripheral division in the early course of ARDS by activating mitochondrial thioredoxin 2 (Trx2), improved lung mitochondrial dysfunction induced by LPS, and reduced oxidative stress damage. The results indicate that CCH is a highly efficient hydrogen-rich agent that can attenuate acute lung injury of ARDS by improving the mitochondrial function through Trx2 activation.

Objective To compare the differences between swept-source optical coherence tomography angiography(SS-OCTA)and ultra-wide-field fluorescein angiography(UWFA)in detecting non-perfusion areas(NPs)in patients with diabetic retinopathy(DR),to evaluate the accuracy of SS-OCTA in predicting NPs outside its visible range,and to explore the distribution patterns of NPs.Methods A retrospective analysis was made on 69 DR patients(88 eyes)who under-went both UWFA and SS-OCTA examinations at the Ophthalmology Department of Sichuan Provincial People's Hospital from December 2022 to September 2024.Manual NP labeling was conducted to compare the detection rate of NPs between the two imaging techniques.The distribution patterns of NPs and the accuracy of SS-OCTA for predicting NPs outside its visible range were also analyzed.Results In a scanning area of 20 mm x 24 mm,the overall NP detection rate by SS-OCTA was 47.40％,with UWFA taken as the standard.The NP detection rate by SS-OCTA was 51.56％in the superotemporal quad-rant,58.35％in the inferotemporal quadrant,45.50％in the superonasal quadrant,and 43.17％in the inferonasal quad-rant.Most NPs occurred in the inferonasal quadrant,accounting for 41.71％of the total NP.The accuracy of SS-OCTA in predicting NPs was 75.00％in the superonasal quadrant and 78.41％in the inferonasal quadrant.The ischemic indices(ISI)of the two imaging techniques were highly positively correlated(r2=0.74).Conclusion Although SS-OCTA can-not yet fully replace UWFA for NP detection in DR patients due to a small visible range,it is still an effective tool to assess retinal ischemia.SS-OCTA has the ability to predict NPs outside its visible range in its scanning range.The inferonasal quadrant is the region where NPs occur most frequently in DR patients,so it is suggested that special attention should be paid to this region in early diagnosis and follow-up periods.

Objective:To explore the effect of exercise on the memory of rats modeling vascular cognitive impairment (VCI) and also its effects on the hippocampal Sema3G/neuropilin-2 (Nrp2)/PlexinA4 signaling pathway.Methods:Eighteen male Sprague-Dawley rats were randomly divided into a sham-operated group, a model group, and an exercise group, each of 6. The model and exercise groups underwent VCI modeling via bilateral common carotid artery occlusion, while the sham-operated group received the same surgical procedure without vessel ligation or transection. Beginning forty-eight hours after the surgery, the exercise group carried out daily 30-minute treadmill training sessions, 5 days a week, for a total of 4 weeks, while the other two groups were placed on the same treadmill with it not in operation. After the intervention, cognitive functioning was assessed using the novel object recognition (NOR) test and a Y-maze test. Western blotting was employed to evaluate the expression of Sema3G, Nrp2, PlexinA4, and Rac1 in the hippocampus. Immunofluorescence staining was used to observe the distribution of Nrp2 and PlexinA4 in the hippocampus.Results:Compared with the model group, the exercise group exhibited significantly higher NOR indices during both the short-term and long-term memory testing phases after the intervention. Those rats also tended to have significantly longer total exploration times in the novel arm of the Y-maze test. The western blotting revealed that the expression levels of Sema3G, PlexinA4, and Rac1 in the hippocampus were significantly higher in the exercise group compared to the model group, on average. Immunofluorescence showed significantly increased PlexinA4 fluorescence intensity in the CA1, CA3, and dentate gyrus (DG) regions of the hippocampus, and significantly elevated Nrp2 fluorescence intensity in the CA3 region in the exercise group compared to the model group. The Pearson correlation coefficients for Nrp2/PlexinA4 co-localization in the CA1, CA3 and DG regions were significantly higher in the exercise group than in the model group.Conclusions:Exercise training significantly improves memory function in rats with VCI, and this effect may be associated with activation of the hippocampal Sema3G/Nrp2/PlexinA4 signaling pathway.

Acute respiratory distress syndrome(ARDS)is a common respiratory emergency,but current clinical treatment remains at the level of symptomatic support and there is a lack of effective targeted treatment measures.Our previous study confirmed that inhalation of hydrogen gas can reduce the acute lung injury of ARDS,but the application of hydrogen has flammable and explosive safety concerns.Drinking hydrogen-rich liquid or inhaling hydrogen gas has been shown to play an important role in scavenging reactive oxygen species and maintaining mitochondrial quality control balance,thus improving ARDS in patients and animal models.Coral calcium hydrogenation(CCH)is a new solid molecular hydrogen carrier prepared from coral calcium(CC).Whether and how CCH affects acute lung injury in ARDS re-mains unstudied.In this study,we observed the therapeutic effect of CCH on lipopolysaccharide(LPS)induced acute lung injury in ARDS mice.The survival rate of mice treated with CCH and hydrogen inhalation was found to be comparable,demonstrating a significant improvement compared to the untreated ARDS model group.CCH treatment significantly reduced pulmonary hemorrhage and edema,and improved pulmonary function and local microcirculation in ARDS mice.CCH promoted mitochon-drial peripheral division in the early course of ARDS by activating mitochondrial thioredoxin 2(Trx2),improved lung mitochondrial dysfunction induced by LPS,and reduced oxidative stress damage.The results indicate that CCH is a highly efficient hydrogen-rich agent that can attenuate acute lung injury of ARDS by improving the mitochondrial function through Trx2 activation.

Metabolomics covers a wide range of applications in life sciences,biomedicine,and phytology.Data acquisition(to achieve high coverage and efficiency)and analysis(to pursue good classification)are two key segments involved in metabolomics workflows.Various chemometric approaches utilizing either pattern recognition or machine learning have been employed to separate different groups.However,insufficient feature extraction,inappropriate feature selection,overfitting,or underfitting lead to an insufficient capacity to discriminate plants that are often easily confused.Using two ginseng varieties,namely Panax japonicus(PJ)and Panax japonicus var.major(PJvm),containing the similar ginsenosides,we integrated pseudo-targeted metabolomics and deep neural network(DNN)modeling to achieve accurate species differentiation.A pseudo-targeted metabolomics approach was optimized through data acquisition mode,ion pairs generation,comparison between multiple reaction monitoring(MRM)and scheduled MRM(sMRM),and chromatographic elution gradient.In total,1980 ion pairs were monitored within 23 min,allowing for the most comprehensive ginseng metabolome analysis.The established DNN model demonstrated excellent classification performance(in terms of accuracy,precision,recall,F1 score,area under the curve,and receiver operating characteristic(ROC))using the entire metabolome data and feature-selection dataset,exhibiting superior advantages over random forest(RF),support vector ma-chine(SVM),extreme gradient boosting(XGBoost),and multilayer perceptron(MLP).Moreover,DNNs were advantageous for automated feature learning,nonlinear modeling,adaptability,and generalization.This study confirmed practicality of the established strategy for efficient metabolomics data analysis and reliable classification performance even when using small-volume samples.This established approach holds promise for plant metabolomics and is not limited to ginseng.

Objective:To validate the application value and safety of blunt-tip needle technique for computer tomography (CT)-guided percutaneous biopsy of pancreatic lesions.Methods:Clinical data of 103 patients with pancreatic lesions undergoing CT-guided percutaneous biopsy with blunt-tip needle approach in the First Affiliated Hospital of Zhengzhou University from October 2021 to October 2023 were retrospectively analyzed, including 64 males and 39 females, aged (61.5±12.3) years. According to the access routes, procedures were divided into regular group ( n=70) and hard-to-reach group ( n=33). Technical data such as the duration of procedure, number of needle correction scans, and the incidence of complications were recorded. The technical success rate, diagnostic yield, accuracy, sensitivity, specificity, and false-negative rates were compared between groups. Results:The overall technical success rate was 100%(103/103). According to postoperative pathology and clinical follow-ups, the final diagnosis of 103 patients was 98 cases with neoplastic lesions and 5 with non-neoplastic lesions. The overall diagnostic rate of percutaneous biopsy was 91.3%(94/103), with a false negative rate of 5.8%(6/103), sensitivity of 92.9%(90/98), and specificity of 100%(90/90). Duration of procedure [(22.8±6.3) min vs. (22.4±7.9) min], number of needle correction scans [5.0 (3.0, 6.0) times vs. 5.0 (4.0, 7.5) times], length of target access [(69.9±15.4) mm vs. (73.7±17.4) mm], diagnostic yield [90.0%(63/70) vs. 93.9%(31/33)], and accuracy rate [90.0%(63/70) vs. 93.9%(31/33)] were comparable between regular group and hard-to-reach group (all P>0.05). Complications occurred in 8 patients, including 5 patients with hemorrhage and 3 with pancreatitis, which were successfully managed with conventional therapy. The incidence of complications were similar between the hard-to-reach and regular group [9.1%(3/33) vs. 7.1%(5/70), χ2=0.12, P=0.730]. Conclusion:CT-guided percutaneous biopsy in the diagnosis of pancreatic lesions with blunt-tip needle approach has a satisfactory technical success rate, diagnostic yield, accuracy, and safety, which can be used in patients with hard-to-reach lesions.

Objective:To validate the application value and safety of blunt-tip needle technique for computer tomography (CT)-guided percutaneous biopsy of pancreatic lesions.Methods:Clinical data of 103 patients with pancreatic lesions undergoing CT-guided percutaneous biopsy with blunt-tip needle approach in the First Affiliated Hospital of Zhengzhou University from October 2021 to October 2023 were retrospectively analyzed, including 64 males and 39 females, aged (61.5±12.3) years. According to the access routes, procedures were divided into regular group ( n=70) and hard-to-reach group ( n=33). Technical data such as the duration of procedure, number of needle correction scans, and the incidence of complications were recorded. The technical success rate, diagnostic yield, accuracy, sensitivity, specificity, and false-negative rates were compared between groups. Results:The overall technical success rate was 100%(103/103). According to postoperative pathology and clinical follow-ups, the final diagnosis of 103 patients was 98 cases with neoplastic lesions and 5 with non-neoplastic lesions. The overall diagnostic rate of percutaneous biopsy was 91.3%(94/103), with a false negative rate of 5.8%(6/103), sensitivity of 92.9%(90/98), and specificity of 100%(90/90). Duration of procedure [(22.8±6.3) min vs. (22.4±7.9) min], number of needle correction scans [5.0 (3.0, 6.0) times vs. 5.0 (4.0, 7.5) times], length of target access [(69.9±15.4) mm vs. (73.7±17.4) mm], diagnostic yield [90.0%(63/70) vs. 93.9%(31/33)], and accuracy rate [90.0%(63/70) vs. 93.9%(31/33)] were comparable between regular group and hard-to-reach group (all P>0.05). Complications occurred in 8 patients, including 5 patients with hemorrhage and 3 with pancreatitis, which were successfully managed with conventional therapy. The incidence of complications were similar between the hard-to-reach and regular group [9.1%(3/33) vs. 7.1%(5/70), χ2=0.12, P=0.730]. Conclusion:CT-guided percutaneous biopsy in the diagnosis of pancreatic lesions with blunt-tip needle approach has a satisfactory technical success rate, diagnostic yield, accuracy, and safety, which can be used in patients with hard-to-reach lesions.

Objective To quantify the intraretinal fluid(IRF)volume in patients with diabetic macular edema(DME)using a deep learning-based three-dimensional segmentation model and to investigate the relationship of IRF volume with visual function and retinal biomarkers based on optical coherence tomography(OCT).Methods A total of 37 pa-tients(42 eyes)with DME who received treatment in the Ophthalmology Department of Sichuan Provincial People's Hospi-tal from July 2022 to September 2024 were prospectively included in this study.A three-dimensional segmentation model was used to automatically quantify the IRF volume within a 6 mm × 6 mm OCT scan at baseline and at the last follow-up.The correlation of visual acuity with IRF volume,central subfield thickness(CST),disorganization of the retinal inner lay-ers(DRIL),hyperreflective foci(HRF),external limiting membrane(ELM),ellipsoid zone(EZ),and vitreomacular in-terface abnormality(VMIA)was analyzed at baseline and the last follow-up.Additionally,the correlation of IRF volume with CST,DRIL,HRF,ELM,EZ,and VMIA was analyzed at both time points.Furthermore,the correlation of the visual acuity at the last follow-up with the IRF volume,CST,DRIL,HRF,ELM,EZ,and VMIA at baseline was analyzed.Results Compared with the baseline value,patients exhibited a significant increase in the best corrected visual acuity(BCVA)(logMAR),a significant decrease in the IRF volume and CST,a significant reduction in the HRF,a significant re-covery in the DRIL,ELM,and EZ(all P＜0.05),and no significant changes in the VMIA(P=1.000)at the last follow-up.At baseline,the BCVA was negatively correlated with the IRF volume,CST,DRIL,and HRF,but positively correlated with the ELM and EZ(all P＜0.05);there was no correlation between the BCVA and VMIA(P=0.069).At the last follow-up,the BCVA was negatively correlated with the DRIL,HRF,and VMIA,but positively correlated with the ELM and EZ(all P＜0.01);the BCVA did not correlate with the IRF volume and CST(P=0.419 and 0.994).At baseline,the IRF volume was positively correlated with the CST(P＜0.001)but negatively correlated with the ELM and EZ(P＜0.01);the IRF vol-ume did not correlate with the DRIL,HRF,and VMIA(all P＞0.05).At the last follow-up,the IRF volume was positively correlated with the CST and HRF(all P＜0.01);however,it was not correlated with the DRIL,ELM,EZ,and VMIA(all P＞0.05).The BCVA at the last follow-up was positively correlated with the BCVA,ELM,and EZ at baseline,but negative-ly correlated with the IRF volume,CST,DRIL,HRF,and VMIA at baseline(all P＜0.05).Conclusion The baseline IRF volume in DME patients is an important influencing factor of visual acuity at baseline and the last follow-up.Hence,the IRF volume may serve as a potential biomarker in the management of DME.

Objective:To explore the effect of exercise on the memory of rats modeling vascular cognitive impairment (VCI) and also its effects on the hippocampal Sema3G/neuropilin-2 (Nrp2)/PlexinA4 signaling pathway.Methods:Eighteen male Sprague-Dawley rats were randomly divided into a sham-operated group, a model group, and an exercise group, each of 6. The model and exercise groups underwent VCI modeling via bilateral common carotid artery occlusion, while the sham-operated group received the same surgical procedure without vessel ligation or transection. Beginning forty-eight hours after the surgery, the exercise group carried out daily 30-minute treadmill training sessions, 5 days a week, for a total of 4 weeks, while the other two groups were placed on the same treadmill with it not in operation. After the intervention, cognitive functioning was assessed using the novel object recognition (NOR) test and a Y-maze test. Western blotting was employed to evaluate the expression of Sema3G, Nrp2, PlexinA4, and Rac1 in the hippocampus. Immunofluorescence staining was used to observe the distribution of Nrp2 and PlexinA4 in the hippocampus.Results:Compared with the model group, the exercise group exhibited significantly higher NOR indices during both the short-term and long-term memory testing phases after the intervention. Those rats also tended to have significantly longer total exploration times in the novel arm of the Y-maze test. The western blotting revealed that the expression levels of Sema3G, PlexinA4, and Rac1 in the hippocampus were significantly higher in the exercise group compared to the model group, on average. Immunofluorescence showed significantly increased PlexinA4 fluorescence intensity in the CA1, CA3, and dentate gyrus (DG) regions of the hippocampus, and significantly elevated Nrp2 fluorescence intensity in the CA3 region in the exercise group compared to the model group. The Pearson correlation coefficients for Nrp2/PlexinA4 co-localization in the CA1, CA3 and DG regions were significantly higher in the exercise group than in the model group.Conclusions:Exercise training significantly improves memory function in rats with VCI, and this effect may be associated with activation of the hippocampal Sema3G/Nrp2/PlexinA4 signaling pathway.