Objective To investigate the impact of adequate lumen preparation on the 12-month primary patency rate of drug-eluting stents(DES)in patients with lower extremity arteriosclerosis obliterans(ASO)and to identify risk and protective factors for in-stent restenosis.Methods A retrospective cohort study was conducted on 141 patients who underwent DES implantation for ASO at the Department of Vascular Surgery of the First Affiliated Hospital of Chongqing Medical University between April 2022 and April 2024.According to post-percutaneous transluminal angioplasty(PTA)dissection grade[severe dissection is defined as type C or higher based on National Heart,Lung,and Blood Institute(NHLBI)criteria]and residual stenosis rate(severe stenosis is defined as≥30%),the patients were categorized into an adequate preparation group(no severe dissection or severe residual stenosis;n=59)and an inadequate preparation group(n=82).DES primary patency at 12 months was assessed by color Doppler ultrasonography or angiography,defined as a peak systolic velocity ratio≤2.4 on duplex ultrasound or angiographic stenosis<50%.Kaplan-Meier analysis was used to compare intergroup differences in DES patency rate and freedom from clinically driven target lesion revascularization(CD-TLR).Multivariate logistic regression analysis was employed to identify risk and protective factors for DES restenosis and to evaluate the risk contributions of post-PTA dissection and residual stenosis to DES restenosis.Results Post-PTA,vascular dissection occurred in 94.3%(133/141)of treated limbs,among which 42.1%(56/133)were severe dissections,and severe residual stenosis was present in 44.0%(62/141)of limbs.Kaplan-Meier analysis revealed that the 12-month primary patency rate was significantly higher in the adequate preparation group than the inadequate group(HR=0.322,95%CI:0.132～0.789,P=0.013),while no significant difference was found in the rate of freedom from CD-TLR(HR=0.608,95%CI:0.187～1.937,P=0.407).Multivariate logistic regression analysis identified adequate lumen preparation(OR=0.228,95%CI:0.069～0.747,P=0.015)and Rutherford category 2～3(OR=0.205,95%CI:0.058～0.725,P=0.014)as independent protective factors against DES restenosis.The patency rate in the subgroup with coexisting severe dissection and residual stenosis was significantly lower than that in the uncomplicated group(55.6%vs 89.8%,P<0.001),with a 7.067-fold increased risk of re-stenosis(95%CI:2.424～20.602,P<0.001).Conclusion Adequate lumen preparation significantly improves the 12-month primary patency rate of DES.It,along with Rutherford category 2～3,serves as an independent protective factor against in-stent restenosis.Concurrent severe dissection and significant residual stenosis should be actively avoided during the procedure.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Among numerous medical imaging modalities, diffusion weighted imaging (DWI) is extremely sensitive to acute ischemic stroke lesions, especially small infarcts. However, magnetic resonance imaging is time-consuming and expensive, and it is also prone to interference from metal implants. Therefore, the aim of this study is to design a medical image synthesis method based on generative adversarial network, Stroke-p2pHD, for synthesizing DWI images from computed tomography (CT). Stroke-p2pHD consisted of a generator that effectively fused local image features and global context information (Global_to_Local) and a multi-scale discriminator (M ²Dis). Specifically, in the Global_to_Local generator, a fully convolutional Transformer (FCT) and a local attention module (LAM) were integrated to achieve the synthesis of detailed information such as textures and lesions in DWI images. In the M ²Dis discriminator, a multi-scale convolutional network was adopted to perform the discrimination function of the input images. Meanwhile, an optimization balance with the Global_to_Local generator was ensured and the consistency of features in each layer of the M ²Dis discriminator was constrained. In this study, the public Acute Ischemic Stroke Dataset (AISD) and the acute cerebral infarction dataset from Yantaishan Hospital were used to verify the performance of the Stroke-p2pHD model in synthesizing DWI based on CT. Compared with other methods, the Stroke-p2pHD model showed excellent quantitative results (mean-square error = 0.008, peak signal-to-noise ratio = 23.766, structural similarity = 0.743). At the same time, relevant experimental analyses such as computational efficiency verify that the Stroke-p2pHD model has great potential for clinical applications.
Humans ; Tomography, X-Ray Computed/methods* ; Diffusion Magnetic Resonance Imaging/methods* ; Cerebral Infarction/diagnostic imaging* ; Stroke/diagnostic imaging* ; Neural Networks, Computer ; Image Processing, Computer-Assisted/methods* ; Algorithms

Ferroptosis, a programmed cell death modality discovered and defined in the last decade, is primarily induced by iron-dependent lipid peroxidation. At present, it has been found that ferroptosis is involved in various physiological functions such as immune regulation, growth and development, aging, and tumor suppression. Especially its role in tumor biology has attracted extensive attention and research. Breast cancer is one of the most common female tumors, characterized by high heterogeneity and complex genetic background. Triple negative breast cancer (TNBC) is a special type of breast cancer, which lacks conventional breast cancer treatment targets and is prone to drug resistance to existing chemotherapy drugs and has a low cure rate after progression and metastasis. There is an urgent need to find new targets or develop new drugs. With the increase of studies on promoting ferroptosis in breast cancer, it has gradually attracted attention as a treatment strategy for breast cancer. Some studies have found that certain compounds and natural products can act on TNBC, promote their ferroptosis, inhibit cancer cells proliferation, enhance sensitivity to radiotherapy, and improve resistance to chemotherapy drugs. To promote the study of ferroptosis in TNBC, this article summarized and reviewed the compounds and natural products that induce ferroptosis in TNBC and their mechanisms of action. We started with the exploration of the pathways of ferroptosis, with particular attention to the System X_c^--cystine-GPX4 pathway and iron metabolism. Then, a series of compounds, including sulfasalazine (SAS), metformin, and statins, were described in terms of how they interact with cells to deplete glutathione (GSH), thereby inhibiting the activity of glutathione peroxidase 4 (GPX4) and preventing the production of lipid peroxidases. The disruption of the cellular defense against oxidative stress ultimately results in the death of TNBC cells. We have also our focus to the realm of natural products, exploring the therapeutic potential of traditional Chinese medicine extracts for TNBC. These herbal extracts exhibit multi-target effects and good safety, and have shown promising capabilities in inducing ferroptosis in TNBC cells. We believe that further exploration and characterization of these natural compounds could lead to the development of a new generation of cancer therapeutics. In addition to traditional chemotherapy, we discussed the role of drug delivery systems in enhancing the efficacy and reducing the toxicity of ferroptosis inducers. Nanoparticles such as exosomes and metal-organic frameworks (MOFs) can improve the solubility and bioavailability of these compounds, thereby expanding their therapeutic potential while minimizing systemic side effects. Although preclinical data on ferroptosis inducers are relatively robust, their translation into clinical practice remains in its early stages. We also emphasize the urgent need for more in-depth and comprehensive research to understand the complex mechanisms of ferroptosis in TNBC. This is crucial for the rational design and development of clinical trials, as well as for leveraging ferroptosis to improve patient outcomes. Hoping the above summarize and review could provide references for the research and development of lead compounds for the treatment for TNBC.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

In breast-conserving surgery, timely and accurate intraoperative margin assessment is crucial for ensuring surgical success and reducing local recurrence rates. This review first outlined the current methods for intraoperative margin evaluation, including rapid pathological examination and specimen imaging techniques. According to the technical classification, this review systematically introduced emerging technologies that have advanced significantly in recent years, encompassing advanced microscopy, advancements in conventional imaging technologies, novel imaging technologies, and techniques based on biochemical and electrical property contrasts of tissues. Finally, the review summarized and compared these technologies horizontally, and proposed several assessment dimensions aligned with surgical clinical needs, aiming to support the optimization and clinical translation of intraoperative margin assessment techniques. Despite the vigorous development of new technologies, further clinical research and technical refinement remain necessary to achieve continuous improvement and innovation, ultimately providing better options for the patients.

Objective:To investigate the expression of placenta expressed transcript 1(Plet1)in ovarian tissue of the letrozole-induced model rats of polycystic ovary syndrome(PCOS)and its effect on the proliferation of rat ovarian granulosa cells,and to clarify the possible mechanism by which Plet1 may contribute to the pathogenesis of PCOS.Methods:The ovarian tissue samples from the rats collected in previous studies were used and divided into control and PCOS groups.Real-time fluorescence quantitative PCR(RT-qPCR)and Western blotting methods were used to detect the expression levels of Plet1 mRNA and protein in ovarian tissue of the rat in two groups.Additionally,twenty-four rats underwent vaginal smear cytology were divided into four groups by estrous cycle phase:proestrus,estrus,metestrus and diestrus.RT-qPCR was used to detect the expression level of Plet1 mRNA in ovarian tissue of the rats in various groups,and immunohistochemistry(IHC)method was used to detect the location of Plet1 expression in the rat ovarian tissue in various groups.The rat ovarian granulosa cells were transfected and divided into control group,si-Plet1-rat-266 group,si-Plet1-rat-383 group,and si-Plet1-rat-554 group.Cell counting kit-8(CCK-8)method was used to assess the cell proliferation activities of rat ovarian granulosa cells in various groups,and RT-qPCR method was used to detect the expression levels of cyclin-d epend ent kinase 6(CDK6)and P53 mRNA in rat ovarian granulosa cells in various groups.Results:The RT-qPCR results revealed that Plet1 mRNA was expressed in the ovaries of normal rats,while no statistically significant difference was observed across estrous cycle phases(P＞0.05).The immunohistochemistry results showed that the expression of Plet1 protein was mainly localized in ovarian granulosa cells and luteal cells in the rat ovarian tissue.Compared with control group,the expression levels of Plet1 mRNA and protein in ovarian tissue of the rats in PCOS group were significantly decreased(P＜0.05).The RT-qPCR results showed that compared with control group,the expression level of Plet1 mRNA in ovarian granulosa cells in si-Plet1-rat-383 group was decreased(P＜0.01),exhibiting the most pronounced reduction.Compared with control group,the proliferation activity of rat ovarian granulosa cells in si-Plet1-rat-383 group was decreased(P＜0.05).Compared with control group,the expression levels of CDK6 and P53 mRNA in rat ovarian granulosa cells in si-Plet1-rat-383 group were significantly decreased(P＜0.05 or P＜0.01).Conclusion:Plet1 protein is predominantly expressed and localized in granulosa cells and luteal cells in normal rat ovarian tissue.Its expression is downregulated in the ovarian tissue of PCOS model rats,and interference with Plet1 gene expression may inhibit the proliferation of rat ovarian granulosa cells.

OBJECTIVES: To summarize the clinical and genetic characteristics of epilepsy with intellectual disability caused by SETD1B gene variants in children. METHODS: A retrospective analysis was conducted on the clinical data of three children with SETD1B gene variants diagnosed and treated at the Department of Pediatric Neurology of Xiangya Hospital of Central South University. Relevant literature was reviewed to summarize the clinical characteristics of this condition. RESULTS: All three children presented with symptoms during infancy or early childhood, including mild intellectual disability and myoclonic seizures, with two cases exhibiting eyelid myoclonia. After treatment with three or more antiepileptic drugs, two cases achieved seizure control or partial control, while one case remained refractory. Each of the three children was found to have a heterozygous variant in the SETD1B gene (one deletion, one frameshift, and one missense variant). To date, 54 cases with SETD1B gene variants have been reported, involving a total of 56 variants, predominantly missense variants (64%, 36/56). The main clinical manifestations included varying degrees of developmental delay (96%, 52/54) and seizures (81%, 44/54). Among the 44 patients with seizures, myoclonic (20%, 9/44) and absence seizures (34%, 15/44) were common, with eyelid myoclonia reported in six cases. Approximately one-fifth of these patients had poorly controlled seizures. CONCLUSIONS The primary phenotypes associated with SETD1B gene variants are intellectual disability and seizures, and seizures exhibit distinct characteristics. Eyelid myoclonia is not uncommon.
Humans ; Intellectual Disability/complications* ; Epilepsy/complications* ; Male ; Female ; Histone-Lysine N-Methyltransferase/genetics* ; Child, Preschool ; Child ; Retrospective Studies

BACKGROUND: The clinical impact of post-percutaneous coronary intervention (PCI) quantitative flow ratio (QFR) in patients treated with PCI for chronic total occlusion (CTO) was still undetermined. METHODS: All CTO vessels treated with successful anatomical PCI in patients from PANDA III trial were retrospectively measured for post-PCI QFR. The primary outcome was 2-year vessel-oriented composite endpoints (VOCEs, composite of target vessel-related cardiac death, target vessel-related myocardial infarction, and ischemia-driven target vessel revascularization). Receiver operator characteristic curve analysis was conducted to identify optimal cutoff value of post-PCI QFR for predicting the 2-year VOCEs, and all vessels were stratified by this optimal cutoff value. Cox proportional hazards models were employed to calculate the hazard ratio (HR) with 95% CI. RESULTS: Among 428 CTO vessels treated with PCI, 353 vessels (82.5%) were analyzable for post-PCI QFR. 31 VOCEs (8.7%) occurred at 2 years. Mean value of post-PCI QFR was 0.92 ± 0.13. Receiver operator characteristic curve analysis shown the optimal cutoff value of post-PCI QFR for predicting 2-year VOCEs was 0.91. The incidence of 2-year VOCEs in the vessel with post-PCI QFR < 0.91 (n = 91) was significantly higher compared with the vessels with post-PCI QFR ≥ 0.91 (n = 262) (22.0% vs. 4.2%, HR = 4.98, 95% CI: 2.32-10.70). CONCLUSIONS Higher post-PCI QFR values were associated with improved prognosis in the PCI practice for coronary CTO. Achieving functionally optimal PCI results (post-PCI QFR value ≥ 0.91) tends to get better prognosis for patients with CTO lesions.