Objective To analyze the nonlinear relationship between hypothermic machine perfusion (HMP) parameters and delayed graft function (DGF) and optimize the construction of a predictive model for DGF. Methods The data of 923 recipients who underwent kidney transplantation from deceased donors were retrospectively analyzed. According to the occurrence of DGF, the recipients were divided into DGF group (n=823) and non-DGF group (n=100). Donor data, HMP parameters and recipient data were analyzed for both groups. The nonlinear relationship between HMP parameters and the occurrence of DGF was explored based on restricted cubic splines (RCS). Over-sampling, under-sampling and balanced sampling were used to address the imbalance in the proportion of DGF to construct logistic regression predictive models. The area under the curve (AUC) of each model was compared in the validation set, and a nomogram model was constructed. Results Donor BMI, cold ischemia time of the donor kidney, and HMP parameters (initial and final pressures, resistance, and perfusion time) were significantly different between the DGF and non-DGF groups (all P<0.05). The RCS analysis revealed a threshold-like nonlinear relationship between HMP parameters and the risk of DGF. Among the models constructed using different sampling methods, the balanced sampling model had the highest AUC. Using this model, a nomogram was constructed to stratify recipients based on risk scores. Recipients in the high-risk group had higher serum creatinine levels at 1, 6, and 12 months after kidney transplantation compared to those in the low-risk group (all P<0.05). Conclusions There is a nonlinear relationship between HMP parameters and the risk of DGF, and the threshold is helpful for organ quality assessment and monitoring of graft function after transplantation. The predictive model for DGF constructed on the base of balanced sampling algorithms helps perioperative decision-making and postoperative graft function monitoring of kidney transplantation.

Objective To observe resting-state functional connectivity(rs-FC)changes of mirror neuron system(MNS)brain regions in male nicotine addicts,and to explore their correlations with the degree of addiction.Methods Twenty-five male nicotine addicts(addiction group)and 27 healthy males(control group)were prospectively recruited,and resting-statefunctional MR scanning was performed.The general information and rs-FC values were compared between groups,and correlations of rs-FC values with Fagerstr?m test for nicotine dependence(FTND)and heaviness of smoking index(HSI)scale scores in addiction group were analyzed.Results No significant difference of age nor education level was found between groups(both P＞0.05).Compared to control group,rs-FC values between left inferior frontal gyrus(IFG.L)and right middle temporal gyrus(MTG.R)as well as right middle occipital gyrus(MOG.R)increased(GRF corrected,voxel-level P＜0.005,cluster-level P＜0.05),while between right fusiform gyrus(FFG.R)and right dorsal cingulate gyrus(DCG.R),right supplementary motor area(SMA.R),left medial superior frontal gyrus(SFGmed.L)and left supplementary motor area(SMA.L)decreased(GRF corrected,voxel-level P＜0.005,cluster-level P＜0.05).In addiction group,rs-FC value between IFG.L and MTG.R was negatively correlated with HSI scale score(r=-0.457,P=0.022),while that between IFG.L and MOG.R was negatively correlated with HSI scale and FTND scores(r=-0.440,-0.458,P=0.028,0.021).Conclusion There were specific changes of rs-FC patterns of MNS brain regions in male nicotine addicts,which were correlated with the degree of addiction.

Objective To observe resting-state functional connectivity(rs-FC)changes of mirror neuron system(MNS)brain regions in male nicotine addicts,and to explore their correlations with the degree of addiction.Methods Twenty-five male nicotine addicts(addiction group)and 27 healthy males(control group)were prospectively recruited,and resting-statefunctional MR scanning was performed.The general information and rs-FC values were compared between groups,and correlations of rs-FC values with Fagerstr?m test for nicotine dependence(FTND)and heaviness of smoking index(HSI)scale scores in addiction group were analyzed.Results No significant difference of age nor education level was found between groups(both P＞0.05).Compared to control group,rs-FC values between left inferior frontal gyrus(IFG.L)and right middle temporal gyrus(MTG.R)as well as right middle occipital gyrus(MOG.R)increased(GRF corrected,voxel-level P＜0.005,cluster-level P＜0.05),while between right fusiform gyrus(FFG.R)and right dorsal cingulate gyrus(DCG.R),right supplementary motor area(SMA.R),left medial superior frontal gyrus(SFGmed.L)and left supplementary motor area(SMA.L)decreased(GRF corrected,voxel-level P＜0.005,cluster-level P＜0.05).In addiction group,rs-FC value between IFG.L and MTG.R was negatively correlated with HSI scale score(r=-0.457,P=0.022),while that between IFG.L and MOG.R was negatively correlated with HSI scale and FTND scores(r=-0.440,-0.458,P=0.028,0.021).Conclusion There were specific changes of rs-FC patterns of MNS brain regions in male nicotine addicts,which were correlated with the degree of addiction.

OBJECTIVES: To investigate the effects of quercetin on cuproptosis and L-type calcium currents in the myocardium of diabetic rats. METHODS: Forty SD rats were randomized into control group and diabetic model groups. The rat models of diabetes mellitus (DM) induced by high-fat and high-sugar diet combined with streptozotocin (STZ) injection were further divided into DM model group, quercetin treatment group, and empagliflozin treatment group (n=10). Blood glucose and body weight were measured every other week, and cardiac function of the rats was evaluated using echocardiography. HE staining, Sirius red staining, and wheat germ agglutinin (WGA) analysis were used to observe the changes in myocardial histomorphology, and serum copper levels and myocardial FDX1 expression were detected. In cultured rat cardiomyocyte H9c2 cells with high-glucose exposure, the effects of quercetin and elesclomol, alone or in combination, on intracellular CK-MB and LDH levels and FDX1 expression were assessed, and the changes in L-type calcium currents were analyzed using patch-clamp technique. RESULTS: The diabetic rats exhibited elevated blood glucose, reduced body weight, impaired left ventricular function, increased serum copper levels and myocardial FDX1 expression, decreased L-type calcium currents, and prolonged action potential duration. Quercetin and empagliflozin treatment significantly lowered blood glucose, improved body weight, and restored cardiac function of the diabetic rats, and compared with empagliflozin, quercetin more effectively reduced serum copper levels, downregulated FDX1 expression, and enhanced myocardial L-type calcium currents in diabetic rats. In H9c2 cells, high glucose exposure significantly increased myocardial expressions of FDX1, CK-MB and LDH, which were effectively lowered by quercetin treatment; Elesclomol further elevated FDX1, CK-MB and LDH levels in the exposed cells, and these changes were not significantly affected by the application of quercetin. CONCLUSIONS Quercetin ameliorates myocardial injury in diabetic rats possibly by suppressing myocardial cuproptosis signaling and restoring L-type calcium channel activity.
Animals ; Quercetin/pharmacology* ; Calcium Channels, L-Type/metabolism* ; Diabetes Mellitus, Experimental/metabolism* ; Rats, Sprague-Dawley ; Rats ; Myocytes, Cardiac/drug effects* ; Myocardium/pathology* ; Male

Object:To explore the feasibility of using artificial intelligence for quality control of echocardiographic images.Methods:Retrospectively，5 000 two-dimensional echocardiographic video images within the period from 2021 to 2023 were randomly retrieved from the echocardiography database of Nanjing Drum Tower Hospital，Affiliated Hospital of Medical School，Nanjing University. Among these selected images，1 559 of them were apical views. The physician team formulated the scoring rules，which specifically included four scoring criteria：gain，scaling ratio，cardiac axis angle，and structure. Subsequently，the data were labeled with view classification and image quality scores. The labeled data were further partitioned into the training set（ n = 643），the validation set（ n = 276），and the test set（ n = 640）. The training and validation sets were utilized for constructing the models for view classification and quality assessment，while the test set was employed to verify the models' effectiveness. The view classification module was implemented using the SlowFast model，and the quality assessment module involved algorithms such as ResNet，Video Swin Transformer，SSD，and U-Net. Results:The average accuracy，precision，recall rate and F1 score of the classification model in identifying each apical view were 0.987 1，0.983 0，0.987 1 and 0.984 9 respectively，and the inference time was（333.4 ± 105.4）ms. The average accuracies of the quality assessment module in terms of gain，scaling ratio，cardiac axis angle and display of main structures were 0.915 1，0.928 2，0.938 7 and 0.965 6 respectively，and the overall scoring accuracy was 0.912 7.Conclusions:The echocardiogram quality control system developed in this research can effectively classify and evaluate the quality of two-dimensional images of the apical views in echocardiograms. Moreover，it guarantees the objectivity，timeliness and high-efficiency of quality control，which has reference value for the establishment of the echocardiogram quality control system.

Object:To explore the feasibility of using artificial intelligence for quality control of echocardiographic images.Methods:Retrospectively，5 000 two-dimensional echocardiographic video images within the period from 2021 to 2023 were randomly retrieved from the echocardiography database of Nanjing Drum Tower Hospital，Affiliated Hospital of Medical School，Nanjing University. Among these selected images，1 559 of them were apical views. The physician team formulated the scoring rules，which specifically included four scoring criteria：gain，scaling ratio，cardiac axis angle，and structure. Subsequently，the data were labeled with view classification and image quality scores. The labeled data were further partitioned into the training set（ n = 643），the validation set（ n = 276），and the test set（ n = 640）. The training and validation sets were utilized for constructing the models for view classification and quality assessment，while the test set was employed to verify the models' effectiveness. The view classification module was implemented using the SlowFast model，and the quality assessment module involved algorithms such as ResNet，Video Swin Transformer，SSD，and U-Net. Results:The average accuracy，precision，recall rate and F1 score of the classification model in identifying each apical view were 0.987 1，0.983 0，0.987 1 and 0.984 9 respectively，and the inference time was（333.4 ± 105.4）ms. The average accuracies of the quality assessment module in terms of gain，scaling ratio，cardiac axis angle and display of main structures were 0.915 1，0.928 2，0.938 7 and 0.965 6 respectively，and the overall scoring accuracy was 0.912 7.Conclusions:The echocardiogram quality control system developed in this research can effectively classify and evaluate the quality of two-dimensional images of the apical views in echocardiograms. Moreover，it guarantees the objectivity，timeliness and high-efficiency of quality control，which has reference value for the establishment of the echocardiogram quality control system.

Objective: To analyze the prevalence and trend of screening myopia among primary and middle school students in Linfen Community of Shanghai from 2019 to 2023, so as to provide a reference for the prevention and control of myopia from the perspective of the community. Methods: From 2019 to 2023, all primary(5) and middle(2) school students aged 6-15 years in Linfen Community of Shanghai were screened. Statistical analysis was performed using the Chi square test and trend Chi square test. The curve fitting model was used to fit the model of the increase rate of screening myopia among primary and middle school students in 2019, 2021 and 2023. Results: The overall rate of screening myopia among primary and middle school students in Linfen community from 2019 to 2023 was 55.17%. The prevalence rate of screening myopia was 79.43% in boys and 81.92% in girls in middle school, and the difference was statistically significant ( χ 2=5.71, P =0.02). In 2019, 2021, and 2023, the peak age of screening myopia among primary and middle school students in Linfen Community gradually occurred earlier, at the age of 7(12.13%), 6( 12.28 %), and 6(14.99%) years old, respectively. The growth rate of screening myopia in students aged 8-12 years in 2023 was lower than that in 2019 and 2021. Conclusions The screening myopia rate of primary and middle school students aged 6-15 years in Linfen Community is relatively high, with primary school girls higher than boys, and growth spurt accelerates. It is suggested that prevention and control of myopia in the community should focus on preschool children and adolescent girls.

Irinotecan (CPT11) chemotherapy-induced diarrhea affects a substantial cancer population due to β-glucuronidase (Gus) converting 10-O-glucuronyl-7-ethyl-10-hydroxycamptothecin (SN38G) to toxic 7-ethyl-10-hydroxycamptothecin (SN38). Existing interventions primarily address inflammation and Gus enzyme inhibition, neglecting epithelial repair and Gus-expressing bacteria. Herein, we discovered that dehydrodiisoeugenol (DDIE), isolated from nutmeg, alleviates CPT11-induced intestinal mucositis alongside a synergistic antitumor effect with CPT11 by improving weight loss, colon shortening, epithelial barrier dysfunction, goblet cells and intestinal stem cells (ISCs) loss, and wound-healing. The anti-mucositis effect of DDIE is gut microbiota-dependent. Analysis of microbiome profiling data from clinical patients and CPT11-induced mucositis mice reveals a strong correlation between CPT11 chemotoxicity and Gus-expressing bacteria, particularly Enterococcus faecalis (E. faecalis). DDIE counters CPT11-induced augmentation of E. faecalis, leading to decreased intestinal Gus and SN38 levels. The Partial Least Squares Path Model (PLS-PM) algorithm initially links E. faecalis to dysregulated epithelial renovation. This is further validated in a 3D intestinal organoid model, in which both SN38 and E. faecalis hinder the formation and differentiation of organoids. Interestingly, colonization of E. faecalis exacerbates CPT11-induced mucositis and disturbs epithelial differentiation. Our study unveils a microbiota-driven, epithelial reconstruction-mediated action of DDIE against mucositis, proposing the 'Gus bacteria-host-irinotecan axis' as a promising target for mitigating CPT11 chemotoxicity.

Humans ; Liposarcoma/surgery* ; Retroperitoneal Neoplasms/surgery* ; Neoplasm Recurrence, Local/surgery*

The many-banded krait, Bungarus multicinctus, has been recorded as the animal resource of JinQianBaiHuaShe in the Chinese Pharmacopoeia. Characterization of its venoms classified chief phyla of modern animal neurotoxins. However, the evolutionary origin and diversification of its neurotoxins as well as biosynthesis of its active compounds remain largely unknown due to the lack of its high-quality genome. Here, we present the 1.58 Gbp genome of B. multicinctus assembled into 18 chromosomes with contig/scaffold N50 of 7.53 Mbp/149.8 Mbp. Major bungarotoxin-coding genes were clustered within genome by family and found to be associated with ancient local duplications. The truncation of glycosylphosphatidylinositol anchor in the 3'-terminal of a LY6E paralog released modern three-finger toxins (3FTxs) from membrane tethering before the Colubroidea divergence. Subsequent expansion and mutations diversified and recruited these 3FTxs. After the cobra/krait divergence, the modern unit-B of β-bungarotoxin emerged with an extra cysteine residue. A subsequent point substitution in unit-A enabled the β-bungarotoxin covalent linkage. The B. multicinctus gene expression, chromatin topological organization, and histone modification characteristics were featured by transcriptome, proteome, chromatin conformation capture sequencing, and ChIP-seq. The results highlighted that venom production was under a sophisticated regulation. Our findings provide new insights into snake neurotoxin research, meanwhile will facilitate antivenom development, toxin-driven drug discovery and the quality control of JinQianBaiHuaShe.