[Objective] To evaluate the efficacy and practicality of autologous platelet-rich plasma (aPRP) in patients undergoing total aortic arch replacement for aortic dissection. [Methods] A retrospective analysis was performed on 483 patients diagnosed with type A aortic dissection who underwent total aortic arch replacement between January 2016 and November 2023. Patients were categorized into two groups based on whether they received aPRP. Baseline characteristics, intraoperative blood product usage and postoperative outcomes were compared between the two groups. [Results] The aPRP group exhibited reduced usage of allogeneic platelets (1.55±1.04 vs 1.60±1.27)U, allogeneic plasma (480.89±432.49 vs 746.50±508.81)mL, allogeneic RBC (red blood cell)(5.95±1.91 vs 6.17±3.52)U, bivalirudin (2.66±1.51 vs 3.31±1.59)U and coagulation factor Ⅶ (0.67±1.03 vs 1.22±1.43)mg compared to the non-aPRP group (P<0.05). The incidence of postoperative hypoxemia was lower in the aPRP group (43.98% vs 48.41%), and the duration of mechanical ventilation was significantly shorter[median 50.91 (interquartile range 18.71, 113.71) vs 83.40 (37.73, 151.98) hours]. There were no significant differences between the two groups in terms of postoperative mortality, continuous bedside hemofiltration, cerebral infarction, cerebral hemorrhage, paraplegia or re-exploration for hemostasis(P>0.05). [Conclusion] The application of aPRP in total aortic arch replacement effectively diminishes intraoperative blood product usage and the incidence of lung injury-related complications. However, it does not demonstrate significant benefits in terms of mortality, cerebral infarction and other complications.

Recent advances in large models demonstrate significant prospects for transforming the field of medical imaging. These models, including large language models, large visual models, and multimodal large models, offer unprecedented capabilities in processing and interpreting complex medical data across various imaging modalities. By leveraging self-supervised pretraining on vast unlabeled datasets, cross-modal representation learning, and domain-specific medical knowledge adaptation through fine-tuning, large models can achieve higher diagnostic accuracy and more efficient workflows for key clinical tasks. This review summarizes the concepts, methods, and progress of large models in medical imaging, highlighting their potential in precision medicine. The article first outlines the integration of multimodal data under large model technologies, approaches for training large models with medical datasets, and the need for robust evaluation metrics. It then explores how large models can revolutionize applications in critical tasks such as image segmentation, disease diagnosis, personalized treatment strategies, and real-time interactive systems, thus pushing the boundaries of traditional imaging analysis. Despite their potential, the practical implementation of large models in medical imaging faces notable challenges, including the scarcity of high-quality medical data, the need for optimized perception of imaging phenotypes, safety considerations, and seamless integration with existing clinical workflows and equipment. As research progresses, the development of more efficient, interpretable, and generalizable models will be critical to ensuring their reliable deployment across diverse clinical environments. This review aims to provide insights into the current state of the field and provide directions for future research to facilitate the broader adoption of large models in clinical practice.
Humans ; Diagnostic Imaging/methods* ; Precision Medicine/methods* ; Image Processing, Computer-Assisted/methods*

Objective: To analyze the surveillance data of schistosomiasis and snail status in Jiaxing City, Zhejiang Province from 2001 to 2024, so as to provide the reference for prevention and control of schistosomiasis in jiaxing City. Methods: Data on schistosomiasis and snail surveillance in Jiaxing City from 2001 to 2024 were collected through schistosomiasis control work reports and the Zhejiang Provincial Schistosomiasis (Parasitic Diseases) Control Information Management System. These data included serological testing results, stool etiological examination (stool examination) results, area surveyed for snails, snail-infested areas, number of snail-positive frames, and number of live snails. Indicators, including the positive rate of serological testing, the positive rate of stool examinations, the rate of snail-positive frames, and the density of live snails were analyzed. The Prophet time series model was employed to forecast the schistosomiasis epidemic in Jiaxing City from 2025 to 2029. Results: A total of 636 493 serological testing were conducted in Jiaxing City from 2001 to 2024, with a positive rate of 1.532%, showing a decreasing trend (P<0.05). Among 7 582 stool examinations, positive cases were all imported, resulting in a positivity rate of 0.066%. During the same period, snail surveys covered a cumulative area of 30 545.999 hm2, with snail-infested areas totaling 69.355 hm2; no significant trend was observed (P>0.05). All snail habitats were identified as recurrent foci within hydrographic network regions, primarily distributed across Xiuzhou District, Nanhu District, Pinghu City, Jiashan County, and Tongxiang City, with snail-infested areas of 39.588, 12.538, 10.728, 4.315, and 2.186 hm2, respectively. From 2009 to 2024, a total of 35 692 134 frames of snails were surveyed, of which 16 543 were snail-positive, yielding a snail-positive frame rate of 0.046%. A total of 33 175 live snails were collected, with a mean density of 0.000 98 snails per frame. No infected Oncomelania snails were detected. The projection results indicated that from 2025 to 2029, the positive rate of serological testing rate in Jiaxing City would range between 0.253% to 0.389%, the snail-infested areas would range from 0.025 to 1.818 hm2, and the density of live snails would vary from 0.001 56 to 0.001 66 snails per frame. None of these indicators showed a significant trend (all P>0.05). Conclusions From 2001 to 2024, the positive rate of serological testing rate of schistosomiasis in Jiaxing City showed a declining trend, with no new autochthonous cases or infected Oncomelania snails detected. However, imported cases were still reported. All identified snail habitats were recurrent foci within hydrographic network regions. It is recommended to enhance schistosomiasis and snail status surveillance in high-risk areas.

OBJECTIVE To investigate the effects of anlotinib on the malignant phenotype of glioma cells by regulating the nuclear factor-κB （NF-κB） signaling pathway. METHODS Human glioma T98G cells were cultured in vitro， and 5-fluorouracil was used as positive control to investigate the effects of different concentrations of anlotinib （5， 10， 20 μmol/L） on the ability of proliferation， adhesion， migration and invasion， the expressions of epithelial-mesenchymal transition （EMT） related proteins [E-cadherin， N-cadherin， vimentin and fibronectin （FN）]. NF- κB signaling pathway inhibitor （BAY 11-7082） and activator （prostratin） were additionally used to verify the possible mechanism of the above effects of anlotinib. RESULTS Anlotinib with 5， 10， 20 μmol/L could significantly decrease the activity of cell proliferation （except for 5 μmol/L anlotinib group）， migration rate， and the number of adherent cells and invasive cells， could significantly up-regulate the expression of E-cadherin protein while down-regulate the expressions of N-cadherin， vimentin and FN protein （P＜0.05）； the effect of 20 μmol/L anlotinib was similar to that of positive control （P＞0.05）. Compared with 10 μmol/L anlotinib， pathway inhibitor could significantly decrease the ability of proliferation， adhesion， migration and invasion， and the expressions of N-cadherin， vimentin， FN and phosphorylated NF-κB p65 protein， while could significantly up-regulate the expression of E-cadherin protein （P＜0.05）； above indexes were reversed significantly by pathway activator （P＜0.05）. CONCLUSIONS Anlotinib may inhibit the proliferation， adhesion， migration and invasion of human glioma T98G cells， which may be associated with the inhibition of the NF-κB signaling pathway， thus inhibiting cell EMT-like processes.

ObjectiveTo genotype Oncomelania hupensis， based on microsatellites， in different snail-bearing environments in Jiaxing City， Zhejiang Province， for population genetics analysis in order to explore the reasons and influencing factors for the existence or proliferation of snails and to provide scientific basis for effective monitoring and control of snails. MethodsA total of 90 snail samples from three populations were collected in Yaobang Village （YB） and Sanxing Village （SX） in Pinghu City， and Yunhe Farm （YH） in Xiuzhou District， all were selected for snail checking in key snail habitats of Jiaxing City in 2022. DNA of the snails was genotyped and analyzed for population genetics using nine microsatellite loci. ResultsA total of 84 alleles were observed， and the mean number of alleles （Na） was 7.889， 5.667， and 3.778 for YB， SX， and YH respectively； the number of effective alleles （NeA） was 4.807， 3.329， and 2.294， respectively； and the coefficients of inbreeding （F_IS） were 0.400， 0.377， and 0.493， respectively. Under the Infinite Allele Model （IAM）， the SX and YH might have a recent bottleneck. The NEstimator and LDNe software calculated effective population sizes （Ne） were above 31.9. AMOVA analysis showed that the variation of snails in the three populations mainly existed among individuals， accounting for 41.4% of the total variation. The value of the index of genetic differentiation between populations （F_ST） was 0.286， indicating a high degree of genetic differentiation. The results of the principal component analysis and phylogenetic tree were consistent， and the three populations were divided into two lineages， YB and SX were one lineage， and YH belonged to another independent lineage. Population history and dynamics analysis showed that the gene flow of the three populations was insufficient， population divergence history indicated that YH might have diverged from SX first， and YB was produced by the contact fusion of SX and YH. ConclusionThe genetic diversity of snail populations in Jiaxing City is generally low， and the snail populations are unstable， with a great degree of genetic differentiation and insufficient gene flow among populations. This study can provide a basis for evaluating the effectiveness of the control of the snail as well as monitoring the trend of the spread of the snail.

This study aims to establish a rat model of renal ischemia reperfusion injury (RIRI) to observe the alterations in the expression of phosphatidylinositol-3-kinase (PI3K)/protein kinase B (AKT)/mammalian target of rapamycin (mTOR) signaling pathway following various exosome treatments. Additionally, differential miRNA expression analysis will be conducted to elucidate the molecular mechanisms underlying the effects of exosomes derived from ischemic preconditioned (IPC) renal tubular cells in mitigating RIRI in rats. Initially, ten SD rats were subjected to bilateral nephrectomy under general anesthesia to prepare primary renal tubular cells. The second-generation renal tubular cells were then subjected to the following treatments for 12 hours: normoxia (38% O 2, 5% CO 2), hypoxia (1% O 2, 5% CO 2), and hypoxia plus inactivation (heated at 65 ℃ for 30 minutes). Following these treatments, exosomes were extracted, yielding normoxic exosomes, IPC exosomes, and inactivated exosomes, respectively. A subsequent cohort of 50 SD rats was randomly divided into five groups: Sham group, RIRI group, RIRI + normoxic exosome group (NC group), RIRI + IPC exosome group (IPC group), and RIRI + inactivated exosome group (INA group). RIRI model was established in the latter four groups. Twenty-four hours after RIRI modeling, the NC, IPC, and INA groups received intravenous injections of 200 μg of normoxic exosomes, IPC exosomes, and inactivated exosomes via the tail vein, respectively. Six days later, venous blood samples were collected, and both kidneys were excised to observe renal function, histopathological changes in kidney tissue, and alterations in the PI3K/AKT/mTOR signaling pathway among the five groups. Furthermore, differential miRNA expression analysis [ P<0.05, |log 2(Fold Change)|≥1] was conducted between the NC and IPC groups to investigate the changes in the miRNA expression profile. Subsequently, GO analysis and KEGG pathway enrichment analysis were performed. The results revealed that: (1) Compared with the Sham group, the RIRI and INA groups exhibited elevated levels of serum creatinine and urea nitrogen (all P<0.01). Histopathological examination of kidney tissues showed substantial inflammatory cell infiltration in the interstitium accompanied by varying degrees of edema, degenerative swelling of tubular structures, necrosis, and detachment of tubular epithelial cells. Notably, the number of TUNEL-positive cells was significantly increased, while the number of Ki67-stained positive cells was markedly decreased. Additionally, the mRNA and protein expression of PI3K/AKT/mTOR signaling pathway in RIRI group and INA group were down-regulated. (2) Compared to the NC group, the IPC group demonstrated lower levels of serum creatinine and urea nitrogen (both P<0.01). Notably, there was a significant decrease in the accumulation of inflammatory cells in the renal interstitium, and tissue edema was markedly improved. Moreover, the number of TUNEL-positive cells was reduced, while the number of Ki67-stained positive cells was significantly increased. Additionally, the mRNA and protein expressions of PI3K, PDK1, AKT, and mTOR were all up-regulated (all P<0.05). (3) Compared to the NC group, 56 miRNAs were up-regulated and 42 miRNAs were down-regulated in the IPC group. The target genes of GO enrichment analysis were PIK3C2A, PIK3CA, PIK3CB, PIK3CD, PIK3C2G, AKT1, mTOR, Rheb, and KEGG enrichment analysis revealed significant enrichment in PI3K/AKT signal pathway and mTOR signal pathway. In conclusion, this study reveals that during the course of RIRI, exosomes derived from IPC renal tubular cells induce differential miRNA expression in kidney tissues, resulting in enhanced expression of the PI3K/AKT/mTOR signaling pathway, which plays a pivotal role in mitigating RIRI in rats.

The stenosis and embolization of internal fistula vessels directly affect the clinical treatment effect of maintenance hemodialysis patients, and the study of the mechanism of internal fistula stenosis has become a research hotspot in recent years. Previous studies mainly focused on the hemodynamics and pathophysiology of blood vessel wall, and there were few studies on molecular biology and its related signaling pathways. This paper reviews the hemodynamics of the vascular pathway of internal arteriovenous fistula (AVF), the pathophysiological mechanism, molecular biology, and changes in various signaling pathways of AVF dysfunction at home and abroad, in order to provide references for the study of AVF dysfunction.

Objective:Clamping bilateral renal arteries with refined surgical methods to establish the rat renal ischemia-reperfusion injury (RIRI) model, and study the protective mechanism of ischemic preconditioning renal (IPC) tubular cell-derived exosomes in RIRI.Methods:25 female Sprague Dawley (SD) rats were divided into sham group, model group, inactivated group, normoxic group, IPC group. In the sham operation group, after bilateral renal arteries were dissociated, the back incision was disinfected and closed. The model group established RIRI model; RIRI models were established in inactivated group, normoxia group and IPC group, and then 200 μg of inactivated exosomes, normal exosomes and IPC exosomes were injected into the caudal vein 24 hours after operation. Serum creatinine (Scr) and urea nitrogen (BUN) levels were detected. The pathological changes of renal tissue were observed under light microscope. Transmission electron microscopy (TEM) was used to observe the shape and size of renal tubular exosomes. Nanoparticle tracking analysis (NTA)was used to detect the concentration and size of renal tubular exosomes.Results:Compared with the sham group, the Scr and BUN levels in the model group were significantly elevated ( P<0.01). Renal pathological changes in the model group showed damaged of the tubular structure, necrosis and shedding of tubular epithelial cells, and a large number of inflammatory cells accumulated in the renal interstitial tissue with varying degrees of edema. Compared with the inactivated group, the Scr and BUN levels significantly decreased in the normoxic group and IPC group ( P<0.01). Renal pathological changes in the normoxic group and IPC group showed that the renal tubular cell necrosis alleviated, inflammatory was reduced, the improved edema. Compared with the normoxic group, the Scr and BUN levels in the IPC group were further reduced ( P<0.01). Renal pathological changes in the IPC group showed that the inflammatory cells were significantly reduced, the cell edema was significantly improved, and the cell apoptosis was significantly reduced. Conclusions:Clamping bilateral renal arteries with refined surgical methods is the main and optimal way to build a rat model of RIRI. IPC tubular cell-derived exosomes have protective and repair effects on RIRI.

Objective:To establish a mouse model of intra-jugular arteriovenous fistula (AVF) to screen differentially expressed genes in the process of intimal stenosis of AVF for investigating the abnormal expression signaling pathways and the mechanisms.Methods:Forty-six male C57BL/6 mice were randomly divided into AVF group ( n=23) and sham-operated group ( n=23). The AVF group underwent internal jugular arteriovenous fistuloplasty, and the sham-operated group separated the right external jugular vein and common carotid artery and then sutured the incision. The whole-genome sequences of mice with AVF stenosis were determined by transcriptomic reversible chain terminator and synthetic sequencing. The microarray data set was established, and the Benjamini & Hochberg method of gene microarray data analysis was applied to screen the differentially expressed genes. The differentially expressed genes were screened by R-language enrichment analysis. Then, gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) were performed. The subcellular localization of the differentially expressed genes was performed by BUSCA software. The protein network interaction of differentially expressed genes was analyzed by using STRING database and Cytoscape software. Results:In the AVF group, 21 mice were successfully modeled and 2 mice failed. Therefore, there were 21 mice in the AVF group and only 21 mice in the sham-operated group. This mouse internal jugular AVF model was innovated using the continuous-interrupted suture method, which improved the success rate of modeling this model. The differential gene sequencing analysis showed that there were 2 514 differentially expressed genes in the AVF process, including 1 323 up-regulated genes and 1 191 down-regulated genes. GO functional enrichment analysis showed that the differential genes were mainly enriched in metabolic process, activation, redox, mitochondria and so on. KEGG pathway enrichment analysis showed that the differential genes were enriched in metabolism, energy substance synthesis, diabetes, oxidative stress and so on. Statistical analysis of subcellular localization showed that the differences were mainly in mitochondrial proteins (24.24%), cytoplasmic proteins (17.51%), nuclear proteins (13.13%), cell membrane proteins (11.45%), and extracellular proteins (10.77%).Conclusions:Mitochondrial oxidative stress injury may be involved in the pathological damage process of endothelial proliferation stenosis in the AVF.

Objective To investigate the effects of Tspan8 gene knockout combined with anlotinib on the proliferation, migration, invasion, and apoptosis of colon cancer SW480 cells. Methods The plasmid was constructed by CRISPR/Cas9 technique, and Tspan8 gene was knocked out in SW480 cells. The knockout effect was detected by Western blot. The IC₅₀ of anlotinib was calculated by MTT assay. The experiment was divided into control group, anlotinib group, Tspan8 knockout group, and combined group. Cell proliferation, migration, invasion, and apoptosis were detected by cell proliferation assay, clonal formation assay, scratch assay, Transwell chamber assay, and flow cytometry. Western blot was used to detect the effect of anlotinib on Tspan8 expression in SW480 cells. Results SW480-KO-Ⅲ cells had the highest knockout efficiency in the Tspan8 knockout group. They were used in subsequent experiments. Different concentrations of anlotinib could inhibit the proliferation of SW480 cells at different times (P < 0.01) in a concentration-dependent and time-dependent manner (P < 0.01). According to IC₅₀, 14 μmol/L was selected as the subsequent experimental concentration. Compared with those in the control group, the cell proliferation, migration, and invasion abilities in the anlotinib group, Tspan8 knockout group, and combined group were significantly decreased, and the cell apoptosis level was significantly increased (P < 0.05). The above changes in the combined group were more significant than those in the anlotinib group or Tspan8 knockout group (P < 0.05). Compared with that in the control group, the expression level of Tspan8 in SW480 cells in the anlotinib group was significantly decreased (P < 0.01). Conclusion Tspan8 gene knockout combined with anlotinib can synergistically inhibit the proliferation, migration and invasion of SW480 cells. This combination can also promote the apoptosis of these cells.