Basket trial, as an innovative clinical trial design concept, marks the transformation of medical research from the traditional large-scale and single-disease treatment to the precise and individualized treatment. By gradually incorporating the Bayesian method during development, the trial design becomes more scientific and reasonable and increases its efficiency. The fundamental principle of the Bayesian method is the utilization of prior knowledge in conjunction with new observational data to dynamically update the posterior probability. This flexibility enhances the basket trial's capacity to effectively adapt to variations during the research process. Consequently, it enables researchers to dynamically adjust research strategies based on accumulated data and improve the predictive accuracy regarding treatment responses. In addition, the design concept of the basket trial aligns with the traditional Chinese medicine(TCM) principle of "homotherapy for heteropathy". The principle of "homotherapy for heteropathy" emphasizes that under certain conditions, different diseases may have the same treatment. Similarly, basket trials allow using a uniform trial design across multiple diseases, offering enhanced operational and significant practical value in the realm of TCM, particularly within the context of syndrome-based disease research. By introducing basket trials, the design of TCM clinical studies will be more scientific and yield higher-quality evidence. This study systematically categorized various Bayesian methods and models utilized in basket trials, evaluated their strengths and weaknesses, and identified their appropriate application contexts, so as to offer a practical guide for designing basket trials in the realm of TCM.
Bayes Theorem ; Humans ; Medicine, Chinese Traditional/methods* ; Research Design ; Clinical Trials as Topic/methods* ; Drugs, Chinese Herbal/therapeutic use*

The accurate segmentation of breast ultrasound images is an important precondition for the lesion determination. The existing segmentation approaches embrace massive parameters, sluggish inference speed, and huge memory consumption. To tackle this problem, we propose T ²KD Attention U-Net (dual-Teacher Knowledge Distillation Attention U-Net), a lightweight semantic segmentation method combined double-path joint distillation in breast ultrasound images. Primarily, we designed two teacher models to learn the fine-grained features from each class of images according to different feature representation and semantic information of benign and malignant breast lesions. Then we leveraged the joint distillation to train a lightweight student model. Finally, we constructed a novel weight balance loss to focus on the semantic feature of small objection, solving the unbalance problem of tumor and background. Specifically, the extensive experiments conducted on Dataset BUSI and Dataset B demonstrated that the T ²KD Attention U-Net outperformed various knowledge distillation counterparts. Concretely, the accuracy, recall, precision, Dice, and mIoU of proposed method were 95.26%, 86.23%, 85.09%, 83.59%and 77.78% on Dataset BUSI, respectively. And these performance indexes were 97.95%, 92.80%, 88.33%, 88.40% and 82.42% on Dataset B, respectively. Compared with other models, the performance of this model was significantly improved. Meanwhile, compared with the teacher model, the number, size, and complexity of student model were significantly reduced (2.2×10 ⁶ vs. 106.1×10 ⁶, 8.4 MB vs. 414 MB, 16.59 GFLOPs vs. 205.98 GFLOPs, respectively). Indeedy, the proposed model guarantees the performances while greatly decreasing the amount of computation, which provides a new method for the deployment of clinical medical scenarios.
Humans ; Breast Neoplasms/diagnostic imaging* ; Female ; Ultrasonography, Mammary/methods* ; Image Processing, Computer-Assisted/methods* ; Algorithms ; Neural Networks, Computer ; Breast/diagnostic imaging*

Neurofibromas are benign peripheral nerve sheath tumors. It is more common in neurofibromatosis type Ⅰ. However, isolated vagal nerve neurofibroma（VNN） of the neck is extremely rare, and only a few case reports have been reported. Its etiology and pathogenesis are not clear. The diagnosis is mainly based on pathological examination and immunohistochemistry, and surgical resection is the main treatment. This study reports a rare case of giant solitary vagus neurofibroma in the neck. The patient was a 29-year-old female who was found to have a mass on the right side of the neck by physical examination, which was considered to be a vagus nerve tumor by neck ultrasound and imaging examination. The tumor was completely removed during the operation, with the size of about 10.0 cm×2.5 cm, and the patient had no special discomfort. Postoperative pathology and immunohistochemistry confirmed neurofibroma. After surgery, the patient had right vocal cord paralysis, hoarseness, choking and paroxysmal cough. After swallowing function training and voice rehabilitation treatment in the department, the patient recovered satisfactorily. There was no complication and recurrence during the follow-up of 1 year. This article reviews the literature to improve the diagnosis and treatment of solitary vagus neurofibroma in the neck by combining its medical history, imaging features, pathology and immunohistochemistry, and surgical treatment.
Humans ; Female ; Adult ; Neurofibroma ; Vagus Nerve/pathology* ; Neck ; Cranial Nerve Neoplasms

Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by persistent inflammation and joint damage, accompanied by the accumulation of plasma cells, which contributes to its pathogenesis. Understanding the genetic alterations occurring during plasma cell differentiation in RA can deepen our comprehension of its pathogenesis and guide the development of targeted therapeutic interventions. Here, our study elucidates the intricate molecular mechanisms underlying plasma cell differentiation by demonstrating that PRDX1 interacts with DOK3 and modulates its degradation by the autophagy-lysosome pathway. This interaction results in the inhibition of plasma cell differentiation, thereby alleviating the progression of collagen-induced arthritis. Additionally, our investigation identifies Salvianolic acid B (SAB) as a potent small molecular glue-like compound that enhances the interaction between PRDX1 and DOK3, consequently impeding the progression of collagen-induced arthritis by inhibiting plasma cell differentiation. Collectively, these findings underscore the therapeutic potential of developing chemical stabilizers for the PRDX1-DOK3 complex in suppressing plasma cell differentiation for RA treatment and establish a theoretical basis for targeting PRDX1-protein interactions as specific therapeutic targets in various diseases.

Obesity and metabolic dysfunction-associated steatotic liver disease (MASLD) are linked to numerous chronic conditions, including cardiovascular disease, atherosclerosis, chronic kidney disease, and type II diabetes. Previous research identified the natural flavonoid diosmin, derived from Chrysanthemum morifolium, as a regulator of glucose metabolism. However, its effects on lipid metabolism and underlying mechanisms remained unexplored. The AMP-activated protein kinase (AMPK) pathway serves a critical function in glucose and lipid metabolism. The relationship between diosmin and the AMPK pathway has not been previously documented. This investigation examined diosmin's capacity to reduce lipid content through AMPK pathway activation in hepatoblastoma cell line G2 (HepG2) and 3T3-L1 cells. The study revealed that diosmin inhibits lipogenesis, indicating its potential as an anti-obesity agent in obese mice. Moreover, diosmin demonstrated effective MASLD alleviation in vivo. These findings suggest that diosmin may represent a promising therapeutic candidate for treating obesity and MASLD.
Diosmin/administration & dosage* ; Animals ; AMP-Activated Protein Kinases/genetics* ; Humans ; Non-alcoholic Fatty Liver Disease/enzymology* ; Mice ; Obesity/enzymology* ; Hep G2 Cells ; Male ; 3T3-L1 Cells ; Mice, Inbred C57BL ; Signal Transduction/drug effects* ; Lipid Metabolism/drug effects* ; Chrysanthemum/chemistry* ; Lipogenesis/drug effects*

The fungal bioluminescence pathway (FBP) catalyzes the oxidation of endogenous caffeic acid to produce green bioluminescence through an enzymatic cascade. Genetic engineering of FBP into plants creates autoluminescent specimens that circumvent the substrate limitations of conventional reporter systems. These transgenic plants serve dual functions as aesthetic displays and versatile biosensing platforms, enabling applications in real-time gene expression monitoring, continuous environmental surveillance, and non-invasive bioimaging, offering novel opportunities for horticultural production, environmental conservation, and bioengineering applications. This review synthesizes current advances in plant FBP engineering and explores how machine learning approaches can optimize autoluminescent phenotypes, thereby accelerating innovation in agricultural biotechnology, environmental sensing, and synthetic biology applications.
Fungi/genetics* ; Plants, Genetically Modified/metabolism* ; Genetic Engineering ; Biosensing Techniques ; Luminescent Measurements ; Caffeic Acids/metabolism* ; Luminescence

Objective To compare the 12-month efficacy and safety of N-butyl cyanoacrylate (NBCA) versus radiofrequency ablation (RFA) in treating great saphenous vein (GSV) insufficiency. Methods A total of 155 patients with GSV insufficiency from five centers were randomly allocated to the NBCA group or RFA group. Postoperative efficacy and safety outcomes were evaluated. Results Immediate postoperative closure rates of the GSV trunk were 100% in both groups. The closure rates of NBCA and RFA group were 98.6% and 98.5% at 3 months, 97.1% and 98.5% at 6 months, 98.1% and 95.9% at 12 months, with no statistically significant differences (P>0.05). After treatment, CEAP classification improved significantly from baseline in both groups. In terms of safety, 1 case of phlebitis, 1 case of ablation-related thrombus extension (ARTE) and 2 cases of calf muscle venous thrombosis(CMVT) occurred in the NBCA group, while 2 cases of limb numbness, 1 case of persistent thigh pain and 2 cases of CMVT in the RFA group. All reported serious adverse events in both groups were assessed as unrelated to the medical device or the trial procedure. Conclusions NBCA demonstrates non-inferior efficacy and safety compared to RFA for treating GSV insufficiency over 12 months.

With the popularization of 5G communication technology and the continuous upgrade of robot-assisted surgery system,telesurgery has developed rapidly.However,there are few of reports about this technique in single-port laparoscopic gynecological surgery.On April 19,2024,the surgeons at the Second Affiliated Hospital of Naval Medical University in Shanghai successfully implemented robot-assisted single-port laparoscopic bilateral adnexectomy for a patient who was admitted to the Naval Hospital of the Eastern Theater Command in Zhoushan,Zhejiang Province through 5G communication technology.The operation time was 90 min,intraoperative bleeding was 20 ml,and no intraoperative complications occurred.There were no adverse events caused by robots such as robot system failure and instrument failure,or adverse events caused by remote communication such as network interruption and network attack.Intraoperative user datagram protocol(UDP)real-time monitoring data showed an average delay of 108 ms(range,105-111 ms)and a packet loss rate of 0.04%.The surgeons had a slight sense of delay when the operation amplitude was too large.There was no obvious stalling which affected the process of the operation.The patient was able to move around on the first day after surgery,and the catheter was removed.No postoperative complications occurred.The patient was discharged from the hospital on the second day after surgery.Postoperative pathological results revealed left fallopian tube ovarian serous cystadenofibroma,fallopian tubal tissue;right fallopian tube ovarian,sent for examination as ovarian and fallopian tube tissue.There were no complaints of discomfort during reexamination one month after surgery,and the umbilical incision healed well.This case is an attempt of telesurgery in the field of gynecology,and provides experiences for the further development of this technique.

Knee osteoarthritis(KOA)is a chronic degenerative joint disease,which poses a major challenge particularly among the elderly population due to its high incidence and high disability.Imaging examination has been used commonly to diagnose KOA.However,it faces imitations in predicting disease progression due to the lack of prior information and constraints in manpower and time.With the rapid evolution of big data and computational technologies,artificial intelligence(AI)is progressively integrating into various healthcare domains.Therefore,the integration of artificial intelligence(AI)into healthcare holds promise for revolutionizing KOA diagnosis and treatment.AI-assisted diagnostic models have demonstrated the potential to automate diagnosis,classify disease severity,and predict disease progression with improved efficiency and accuracy.In addition,these models provide personalized diagnosis and treatment options,as well as accurate disease progression risk assessment.Despite these promising outcomes,challenges such as high costs associated with data annotation and limitations in model generalization capabilities persist.This paper reviews recent advancements in AI applications and summarizes the potential value of utilizing AI applications for KOA.To further enhance the utilization of AI in KOA management to overcome current limitations,future efforts should focus on standardizing clinical sample databases,optimizing AI algorithms,and enhancing external verification sets.

Objective To investigate the association of digit ratio with single nucleotide polymorphism(SNP)at three loci(rs17576,rs3918249,rs9509)of matrix metallopeptidase 9(MMP-9)gene.Methods A total of 804 Ningxia Han youths(399 males and 405 females)were used as the study subjects.A digital camera was used to take frontal photographs of the hands,and image analysis software was used to mark the anatomical points and measure the lengths of each finger of both hands(2D,3D,4D,5D);Multiplexed PCR was used to detect the three polymorphic sites of the MMP-9 gene,SPSS 25.0 and R Studio software were used for data analysis and plotting.Results The 2D/3D(P＜0.05)and 2D/4D(left,P＜0.01,right,P＜0.05)of both hands,2D/5D(P＜0.01),3D/5D,4D/5D(P＜0.05)of the right hand,and 3D/4D(P＜0.05)of the left hand in female youths of Ningxia Han were significantly higher than those in males,Differences in genotypes and allele frequencies at all 3 loci of the MMP-9 gene were not statistically significant between genders(P＞0.05).Right hand 2D/4D was significantly associated with genotypes at the rs17576 and rs3918249 loci in male youths(P＜0.05).Conclusion MMP-9 gene SNPs(rs17576 and rs3918249)may be associated with the formation of 2D/4D of Ningxia Han male youths.