BACKGROUND: Neoadjuvant chemoradiotherapy followed by radical surgery has been a common practice for patients with locally advanced rectal cancer, but the response rate varies among patients. This study aimed to develop a ResNet-Vision Transformer based magnetic resonance imaging (MRI)-endoscopy fusion model to precisely predict treatment response and provide personalized treatment. METHODS: In this multicenter study, 366 eligible patients who had undergone neoadjuvant chemoradiotherapy followed by radical surgery at eight Chinese tertiary hospitals between January 2017 and June 2024 were recruited, with 2928 pretreatment colonic endoscopic images and 366 pelvic MRI images. An MRI-endoscopy fusion model was constructed based on the ResNet backbone and Transformer network using pretreatment MRI and endoscopic images. Treatment response was defined as good response or non-good response based on the tumor regression grade. The Delong test and the Hanley-McNeil test were utilized to compare prediction performance among different models and different subgroups, respectively. The predictive performance of the MRI-endoscopy fusion model was comprehensively validated in the test sets and was further compared to that of the single-modal MRI model and single-modal endoscopy model. RESULTS: The MRI-endoscopy fusion model demonstrated favorable prediction performance. In the internal validation set, the area under the curve (AUC) and accuracy were 0.852 (95% confidence interval [CI]: 0.744-0.940) and 0.737 (95% CI: 0.712-0.844), respectively. Moreover, the AUC and accuracy reached 0.769 (95% CI: 0.678-0.861) and 0.729 (95% CI: 0.628-0.821), respectively, in the external test set. In addition, the MRI-endoscopy fusion model outperformed the single-modal MRI model (AUC: 0.692 [95% CI: 0.609-0.783], accuracy: 0.659 [95% CI: 0.565-0.775]) and the single-modal endoscopy model (AUC: 0.720 [95% CI: 0.617-0.823], accuracy: 0.713 [95% CI: 0.612-0.809]) in the external test set. CONCLUSION The MRI-endoscopy fusion model based on ResNet-Vision Transformer achieved favorable performance in predicting treatment response to neoadjuvant chemoradiotherapy and holds tremendous potential for enabling personalized treatment regimens for locally advanced rectal cancer patients.
Humans ; Rectal Neoplasms/diagnostic imaging* ; Magnetic Resonance Imaging/methods* ; Male ; Female ; Middle Aged ; Neoadjuvant Therapy/methods* ; Aged ; Adult ; Chemoradiotherapy/methods* ; Endoscopy/methods* ; Treatment Outcome

Acute kidney injury（AKI）is a clinical syndrome characterized by a rapid decline in renal function. Treatment strategies for AKI primarily focus on treating the underlying disease，providing supportive care，and preventing complications. However，the prognosis remains poor due to the lack of targeted drug therapies.In recent years，with a deeper understanding of the pathophysiological mechanisms of AKI，numerous new drugs and therapeutic methods have emerged and are currently under evaluation. This review aims to thoroughly analyze the latest advancements in AKI drug therapy，covering the development of targeted drugs，innovative applications of nanomedicines，and new breakthroughs and expansions in the use of traditional drugs in the treatment of AKI，in order to provide new ideas and strategies for clinical treatment.

Objective:To observe the diuretic effects of Zhuling Decoction on mice with adriamycin nephropathy (ADRN); To explore its mechanism.Methods:Totally 32 SPF male C57BL/6 mice were divided into a blank group of 7 mice and a model group of 25 mice using a random number table method. ADRN model was prepared by single tail vein injection of 0.01 g/kg of amphotericin. Two weeks later, the successfully modeled mice were divided into a model group (7 mice), a furosemide group (8 mice), and a Zhuling Decoction group (8 mice). The blank group and model group mice were given equal volumes of injection water by gavage. The furosemide group was given 2.6 mg/kg of furosemide by gavage, and the Zhuling Decoction group was given 6.5 g/kg of Zhuling Decoction by gavage, once a day, for 8 consecutive weeks. Changes in body weight and urine output of mice were observed. A biochemical analyzer was used to detect 24-hour urinary protein quantification and blood potassium and SCr levels in mice. HE staining was used to observe pathological changes in mouse kidneys, and immunohistochemistry and Western blot were used to detect the homology of cyclin dependent kinase 18 (CDK18), STIP1, and the expressions of U-box protein 1 (STUB1) and aquaporin 2 (AQP2) in mouse kidney tissue cells.Results:Compared with the model group, both the furosemide and Zhuling Decoction groups exhibited increased 24-hour urine output ( P<0.05); compared with the model group and furosemide group, Zhuling Decoction group showed reduced average optical density values and protein expressions of CDK18 and AQP2 ( P<0.05) and increased STUB1 average optical density value and protein expression ( P<0.05). Conclusion:Zhuling Decoction can increase 24-hour urine output in ADRN mice, and the mechanism may be related to down-regulation of CDK18 and AQP2 protein expressions and up-regulation of STUB1 protein expression, thereby modulating the CDK18/STUB1/AQP2 pathway and reducing water reabsorption.

Objective:To investigate effects of short-term cigarette smoke exposure combined with poly(I:C)stimulation on lung immune response and interferon expression in mice.Methods:BALB/c mice were randomly divided into 4 groups:control group,smoke group,poly(I:C)group and smoke combined poly(I:C)group.Total cell number and cell classification count of bronchoalveo-lar lavage fluid(BALF)were detected,and cell morphology was observed under ordinary light.Cytokines,chemokines,interferon and interferon stimulating genes expressions in lung tissues were detected by fluorescence quantitative PCR.Results:Compared with control group,total cell count,macrophage count and neutrophil count in smoke combined poly(I:C)group were significantly increased(P<0.05),and macrophage count was higher than that in poly(I:C)group.Macrophages of airway lavage fluid of mice in smoke combined with poly(I:C)group were larger in size,round or irregular in shape,and had more vacuoles in cytoplasm.Com-pared with control group,mRNA expressions of neutrophil chemokine CXCL1(P<0.05),CXCL2(P<0.01)and lymphocyte chemo-kine CCL2(P<0.01)in lung tissues of mice in smoke combined with poly(I:C)group were increased.IL-1β,IL-6,TNF-α mRNA expressions were significantly increased(P<0.01),IFN-β(P<0.01),IFN-γ(P<0.05),MX2(P<0.01)and IP-10(P<0.01)expre-ssions in lung tissues were significantly increased,and compared with poly(I:C)group,mRNA expressions of CXCL2(P<0.05),TNF-α(P<0.01)and IFN-β(P<0.05)in lung tissues of mice in smoke combined with poly(I:C)group were significantly increased.Conclusion:Cigarette smoke combined with poly(I:C)induces lung inflammation and expressions of interferon and interferon stimu-lating genes in mice.Cigarette exposure also increases poly(I:C)-induced acute lung inflammation and type Ⅰ interferon expression in mice.

The incidence of osteoporotic thoracolumbar vertebral fracture (OTLVF) in the elderly is gradually increasing. The kyphotic deformity caused by various factors has become an important characteristic of OTLVF and has received increasing attention. Its clinical manifestations include pain, delayed nerve damage, sagittal imbalance, etc. Currently, the definition and diagnosis of OTLVF with kyphotic deformity in the elderly are still unclear. Although there are many treatment options, they are controversial. Existing guidelines or consensuses pay little attention to this type of fracture with kyphotic deformity. To this end, the Lumbar Education Working Group of the Spine Branch of the Chinese Medicine Education Association and Editorial Committee of Chinese Journal of Trauma organized the experts in the relevant fields to jointly develop Clinical guidelines for the diagnosis and treatment of osteoporotic thoracolumbar vertebral fractures with kyphotic deformity in the elderly ( version 2024), based on evidence-based medical advancements and the principles of scientificity, practicality, and advanced nature, which provided 18 recommendations to standardize the clinical diagnosis and treatment.

Objective:To analyze the epidemic characteristics and periodicity of hemorrhagic fever with renal syndrome (HFRS) in Jingzhou City, Hubei Province, and provide a basis for scientific prevention and control of HFRS in Jingzhou City.Methods:Retrospective analysis was used to collect HFRS case data and population data of Jingzhou City and 8 counties (cities, districts) within its jurisdiction, including Shashi District, Jingzhou District, Gongan County, Jianli City, Jiangling County, Shishou City, Honghu City, and Songzi City from 1962 to 2020, from the Archives of the Jingzhou Center for Disease Control and Prevention and the Infectious Disease Report Information Management System of the China Disease Control and Prevention Information System; and the epidemic characteristics of HFRS was analyzed in Jingzhou City and 8 counties (cities, districts) within its jurisdiction. The periodicity of HFRS onset was determined using wavelet analysis.Results:From 1962 to 2020, 18 936 HFRS cases were reported in Jingzhou City, with an average incidence rate of 5.95/100 000. There were a total of three epidemic peaks, namely from 1972 to 1973 (24.82/100 000, 24.84/100 000), 1983 (60.08/100 000), and 1995 (14.57/100 000). According to different regions, the high incidence areas of HFRS showed a phased transfer trend: from the 1960s to the 1970s, the Jiangbei area (Honghu City, Jianli City) was the highest incidence area; in the 1980s and 1990s, the high incidence areas were transferred to Jiangnan area (Songzi City, Shishou City, and Gongan County); after 2005, high incidence areas were relocated to Jiangbei area (Honghu City, Jianli City, Jiangling County). The wavelet analysis results showed that there were 12.30 and 21.77 years of HFRS epidemic cycles in Jingzhou City before 2000 ( P < 0.05); among them, the periodicity of Shashi District, Gongan County, Jiangling County, Shishou City, and Honghu City was relatively consistent with that of Jingzhou City, with epidemic cycles of about 12 or 22 years ( P < 0.05). Conclusions:Jingzhou City is currently at the peak of a 22-year epidemic cycle of HFRS, with Jiangbei area as the high incidence areas. The 12-year epidemic cycle in Jingzhou City has ended after 2000.

A case of a 69-year-old female patient, with cough, expectoration, chest tightness and shortness of breath for 10 days accompanied by left pleural effusion, was reported. Initially, a large number of suspected malignant lymphoma cells were found in the patient′s pleural effusion through routine cell morphological examination after admission, which was the direction of clinical diagnosis and treatment in the next step. Then the patient was diagnosed as primary pulmonary diffuse large B-cell lymphoma (DLBCL) through imaging, bone marrow and lung biopsy pathology. Finally, the patient was treated effectively with R-CHOP regimen, but she died of respiratory failure 9 weeks later, because she did not receive regular follow-up and treatment after the sixth chemotherapy cycle. Primary pulmonary DLBCL, an extremely rare extranodal lymphoma' lacks specificity clinical manifestations and is easy to be missed and misdiagnosed. DLBCL with a large number of malignant pleural effusion progresses rapidly and has a poor prognosis. The routine cell morphology examination of pleural effusion is simple and intuitive, which can capture key information in the shortest time, preliminarily provide clinical diagnosis and treatment ideas, and provide accurate basis for disease diagnosis.

Adult ; Humans ; Retrospective Studies ; Pneumonia ; Community-Acquired Infections/epidemiology* ; Hospitalization

Osteoporotic vertebral compression fracture (OVCF) can lead to lower back pain and may be even accompanied by scoliosis, neurological dysfunction and other complications, which will affect the daily activities and life quality of patients. Vertebral augmentation is an effective treatment method for OVCF, but it cannot correct unbalance of bone metabolism or improve the osteoporotic status, causing complications like lower back pain, limited spinal activities and vertebral refracture. The post-operative systematic and standardized rehabilitation treatments can improve curative effect and therapeutic efficacy of anti-osteoporosis, reduce risk of vertebral refracture, increase patient compliance and improve quality of life. Since there still lack relevant clinical treatment guidelines for postoperative rehabilitation treatments following vertebral augmentation for OVCF, the current treatments are varied with uneven therapeutic effect. In order to standardize the postoperative rehabilitation treatment, the Spine Trauma Group of the Orthopedic Branch of Chinese Medical Doctor Association organized relevant experts to refer to relevant literature and develop the "Guideline for postoperative rehabilitation treatment following vertebral augmentation for osteoporotic vertebral compression fracture (2022 version)" based on the clinical guidelines published by the American Academy of Orthopedic Surgeons (AAOS) as well as on the principles of scientificity, practicality and advancement. The guideline provided evidence-based recommendations on 10 important issues related to postoperative rehabilitation treatments of OVCF.

Accurate identification of cell types from single-cell RNA sequencing (scRNA-seq) data plays a critical role in a variety of scRNA-seq analysis studies.This task corresponds to solving an unsupervised clustering problem,in which the similarity measurement between cells affects the result significantly.Although many approaches for cell type identification have been proposed,the accuracy still needs to be improved.In this study,we proposed a novel single-cell clustering framework based on similarity learning,called SSRE.SSRE models the relationships between cells based on subspace assumption,and generates a sparse representation of the cell-to-cell similarity.The sparse representation retains the most similar neighbors for each cell.Besides,three classical pairwise similarities are incorporated with a gene selection and enhancement strategy to further improve the effectiveness of SSRE.Tested on ten real scRNA-seq datasets and five simulated data-sets,SSRE achieved the superior performance in most cases compared to several state-of-the-art single-cell clustering methods.In addition,SSRE can be extended to visualization of scRNA-seq data and identification of differentially expressed genes.The matlab and python implementations of SSRE are available at https://github.com/CSUBioGroup/SSRE.