Vascular endothelial growth factor (VEGF) inhibitors are drugs that target and inhibit tumor angiogenesis. By blocking the signaling pathway of VEGF and its receptor, they suppress tumor proliferation and play a crucial role in tumor treatment. However, their side effects, such as hypertension, proteinuria, hand-foot skin reactions, and myelosuppression, during treatment seriously affect patients' treatment compliance and quality of life. The development of intervention strategies for the side effects of VEGF inhibitors is of great importance for tumor treatment. This article reviews the clinical characteristics and toxic mechanisms of common side effects caused by VEGF inhibitors during tumor treatment and summarizes intervention strategies that combine traditional Chinese and Western medicines. Drug dosages were precisely monitored and adjusted to achieve antitumor treatment. Patients' discomfort symptoms are improved through prescriptions that act by tonifying qi and promoting blood circulation, strengthening the spleen, and tonifying the kidney. The combination of traditional Chinese and Western medicines is used to treat patients, thus providing a safe and effective treatment plan for patients with cancer.

BACKGROUND:One-hole split endoscope as a new type of endoscopic technique is suitable for the treatment of far lateral lumbar disc disease.However,there are few research data on L5/S1,which has a very low incidence of far lateral lumbar disc herniation at home and abroad,and there is no detailed image anatomical data describing the one-hole split endoscope treatment of L5/S1 far lateral lumbar disc herniation. OBJECTIVE:Through the three-dimensional image reconstruction,the bony landmarks were determined to accurately locate the positional relationship between the L5 outlet nerve root,the L5/S1 intervertebral space and other structures.One-hole split endoscope via posterolateral approach was used to accurately,safely and effectively decompress the L5 outlet nerve root and treat the L5/S1 far lateral lumbar disc herniation. METHODS:Twenty-nine patients with L5/S1 unilateral far lateral lumbar disc herniation who met the inclusion and exclusion criteria were selected,including 12 males and 17 females at the age of 48-74 years.The lumbar CT data of the patients were imported into Mimics 21.0 software to reconstruct the three-dimensional lumbar model.Measurement of L5/S1 related parameters:(1)Measurement on the sagittal plane at the intersection(H)of the lower edge of the transverse process and the lateral edge of the isthmus:The vertical distance between H and the upper and lower edges of L5 outlet nerve root(a1,a2);the vertical distance between H and the lower endplate of L5 and the upper endplate of S1(b1,b2);vertical distance from the lower edge of the pedicle from H to L5(c).(2)Horizontal distance between the left and right sides of the sagittal surface where the medial wall of the pedicle was located from H to L5(d).(3)The horizontal distance from H to the left and right side of the sagittal plane where the lateral margin of the dura was located(e).(4)Horizontal distance(f)between the left and right sides of the sagittal plane at the outermost edge of the lower endplate from H to L5.(5)Measurements were made on the sagittal plane where the outermost edge of the lower endplate of L5:The vertical distance between the cross section of H and the upper and lower edges of L5 outlet nerve root(g1,g2);vertical distance(h1,h2)between the transverse section of H and the lower endplate of L5 and the upper endplate of S1,respectively;(6)anteroposterior horizontal distance from H to L5 in the coronal plane where the last edge of the nerve root exits(i);(7)anteroposterior horizontal distance from the highest point of the posterior margin of the sacral wing to the last margin of the inferior endplate of L5 in the coronal plane(j). RESULTS AND CONCLUSION:(1)There was no significant difference in the relevant measurement parameters between men and women(P>0.05).(2)a1,a2,b1,b2,c,d,e,f,h1,h2,g1,g2,i,and j on the affected side were not significantly different from the healthy side(P>0.05).(3)There was no significant difference between a1 and c(P>0.05),indicating that the lower edge of the pedicle was the upper edge of the L5 outlet nerve root;the L5 outlet nerve root was close to the lower edge of the pedicle and ran anterolateral behind the L5 vertebral body,and H was located above the L5 outlet nerve root.(4)With H as the bony marker point,it was not necessary to probe upward or to remove the isthmus,but only to grind part of the bone downward and laterally to reveal the L5 outlet nerve root and vertebral space,and to have enough safe distance to avoid damage to the dural membrane to complete exploration and decompression of the lateral recess and foraminal region.(5)The surgeon could operate in the sagittal plane where the most lateral edge of the L5 inferior endplate was located,and in the"rectangular area"formed by the L5 transverse process and the sacral wing.The closer to the medial and inferior area(Kambin triangle),the safer the operation was.(6)It is suggested that using H as the bony landmark point to locate the L5 outlet nerve root and intervertebral space through one-hole split endoscope via posterolateral approach can achieve accurate,safe and effective decompression of L5/S1 far lateral lumbar disc herniation.

SARS-CoV-2 and its emerging variants continue to pose a significant global public health threat. The SARS-CoV-2 main protease (M^pro) is a critical target for the development of antiviral agents that can inhibit viral replication and transcription. In this study, we identified chebulagic acid (CHLA), isolated from Terminalia chebula Retz., as a potent non-peptidomimetic and non-covalent M^pro inhibitor. CHLA exhibited intermolecular interactions and provided significant protection to Vero E6 cells against a range of SARS-CoV-2 variants, including the wild-type, Delta, Omicron BA.1.1, BA.2.3, BA.4, and BA.5, with EC₅₀ values below 2 μmol/L. Moreover, in vivo studies confirmed the antiviral efficacy of CHLA in K18-hACE2 mice. Notably, CHLA bound to a unique groove at the interface between M^pro domains I and II, which was revealed by the high-resolution crystal structure (1.4 Å) of the M^pro-CHLA complex, shrinking the substrate binding pocket of M^pro and inducing M^pro aggregation. CHLA was proposed to act as an allosteric inhibitor. Pharmacokinetic profiling and safety assessments underscore CHLA's potential as a promising broad-spectrum antiviral candidate. These findings report a novel binding site on M^pro and identify antiviral activity of CHLA, providing a robust framework for lead compounds discovery and elucidating the underlying molecular mechanisms of inhibition.

Drug repurposing offers a promising alternative to traditional drug development and significantly reduces costs and timelines by identifying new therapeutic uses for existing drugs. However, the current approaches often rely on limited data sources and simplistic hypotheses, which restrict their ability to capture the multi-faceted nature of biological systems. This study introduces adaptive multi-view learning (AMVL), a novel methodology that integrates chemical-induced transcriptional profiles (CTPs), knowledge graph (KG) embeddings, and large language model (LLM) representations, to enhance drug repurposing predictions. AMVL incorporates an innovative similarity matrix expansion strategy and leverages multi-view learning (MVL), matrix factorization, and ensemble optimization techniques to integrate heterogeneous multi-source data. Comprehensive evaluations on benchmark datasets (Fdataset, Cdataset, and Ydataset) and the large-scale iDrug dataset demonstrate that AMVL outperforms state-of-the-art (SOTA) methods, achieving superior accuracy in predicting drug-disease associations across multiple metrics. Literature-based validation further confirmed the model's predictive capabilities, with seven out of the top ten predictions corroborated by post-2011 evidence. To promote transparency and reproducibility, all data and codes used in this study were open-sourced, providing resources for processing CTPs, KG, and LLM-based similarity calculations, along with the complete AMVL algorithm and benchmarking procedures. By unifying diverse data modalities, AMVL offers a robust and scalable solution for accelerating drug discovery, fostering advancements in translational medicine and integrating multi-omics data. We aim to inspire further innovations in multi-source data integration and support the development of more precise and efficient strategies for advancing drug discovery and translational medicine.

Drug repurposing offers a promising alternative to traditional drug development and significantly re-duces costs and timelines by identifying new therapeutic uses for existing drugs.However,the current approaches often rely on limited data sources and simplistic hypotheses,which restrict their ability to capture the multi-faceted nature of biological systems.This study introduces adaptive multi-view learning(AMVL),a novel methodology that integrates chemical-induced transcriptional profiles(CTPs),knowledge graph(KG)embeddings,and large language model(LLM)representations,to enhance drug repurposing predictions.AMVL incorporates an innovative similarity matrix expansion strategy and leverages multi-view learning(MVL),matrix factorization,and ensemble optimization techniques to integrate heterogeneous multi-source data.Comprehensive evaluations on benchmark datasets(Fdata-set,Cdataset,and Ydataset)and the large-scale iDrug dataset demonstrate that AMVL outperforms state-of-the-art(SOTA)methods,achieving superior accuracy in predicting drug-disease associations across multiple metrics.Literature-based validation further confirmed the model's predictive capabilities,with seven out of the top ten predictions corroborated by post-2011 evidence.To promote transparency and reproducibility,all data and codes used in this study were open-sourced,providing resources for pro-cessing CTPs,KG,and LLM-based similarity calculations,along with the complete AMVL algorithm and benchmarking procedures.By unifying diverse data modalities,AMVL offers a robust and scalable so-lution for accelerating drug discovery,fostering advancements in translational medicine and integrating multi-omics data.We aim to inspire further innovations in multi-source data integration and support the development of more precise and efficient strategies for advancing drug discovery and translational medicine.

Objective:To understand the epidemiological characteristics and spatiotemporal distribution of viral encephalitis in children and adolescents in Henan Province from 2012 to 2023.Methods:The information about viral encephalitis cases from October 1, 2012 to July 26, 2023 were collected from Zhengzhou Children's Hospital (National Children's Regional Medical Center),Henan Provincial Children's Hospital for the analyses on temporal distribution the cases, the severe illness rate, age distribution, pathogen type and imaging findings of the cases.Results:A total of 6 276 cases of viral encephalitis were included in this study after excluding cases with incomplete information. The cases mainly originated from Zhengzhou (38.96%), followed by Zhoukou (9.93%), Xuchang (8.68%), Zhumadian (7.90%) and Pingdingshan (7.39%). The cases in boys accounted for 62.13% and the cases in girls accounted for 37.87%. Most cases (72.45%) occurred in age group 7-13 years. The overall rate of severe illness cases was 4.51% from 2012 to 2023. There were significant differences in severe illness cases among different areas and years ( χ2=5.33, P=0.021; χ2=48.14, P<0.001). Enteroviruses were mainly detected (31.57%), in which Coxsackie virus was predominant (58.37%). Imaging findings showed that cerebral hemisphere damage was most common in children and adolescents with viral encephalitis (54.93%). Conclusions:From 2012 to 2023, more cases of viral encephalitis occurred in boys in Henan. Children and adolescents aged 7-13 years were the main affected group. The prevention of enteroviruses infection, especially Coxsackie virus, needs to be strengthened. Special attention should be paid to the prevention of cerebral hemisphere damage after viral encephalitis diagnosis.

Objective:To explore the feasibility of deep learning image reconstruction (DLIR) in reducing radiation dose and improving image quality in 100 kV portal vein CT angiography (CTPV), and compare the image quality with traditional 120 kV CTPV.Methods:Consecutive 100 patients who underwent upper abdominal CTPV examinations at the Third Affiliated Hospital of Sun Yat-sen University from June 2021 to December 2022 were prospectively enrolled in this study. They were divided into two groups: the standard dose group (S group) using 120 kV and the low dose group (L group) using 100 kV. In the S group, adaptive statistical iterative reconstruction-Veo (ASIR-V) was employed with weights of 40%, 60%, and 80% (S-AV40, S-AV60, and S-AV80, respectively), along with a medium-level DLIR (S-DM). The L group used two weights of 60% and 80% of ASIR-V (L-AV60 and L-AV80) and medium to high-intensity DLIR (L-DM and L-DH) for reconstruction. Objective evaluation measurements, including CT values and standard deviation (SD) of the main portal vein (MPV), right portal vein (RPV), left portal vein (LPV), hepatic parenchyma, and right vertical muscle, were independently measured by two radiologists. The signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were also calculated. The images of eight groups were blindly evaluated using a 5 points scale by three radiologists. The Volume CT dose index (CTDIvol) and dose length product (DLP) were recorded for both protocol groups, and the effective dose (ED) was calculated. Statistical analysis was performed using Single factor variance analysis for objective indicators and Kruskal-Wallis H test for subjective scores. Results:The effective dose in the L group was reduced by 51% compared to the S group. There were significant statistical differences in SD, SNR and CNR among eight groups for MPV, RPV, and LPV ( P<0.001 for all). The SD of L-DH showed no statistical difference compared to the S-AV80 group ( P>0.05), but it was significantly lower than the other six groups ( P<0.05 for all). Except for CNR in the MPV, which showed no statistically significant difference between the L-DH and S-AV80 groups ( P>0.05), both SNR and CNR were significantly higher in the L-DH group compared to the other groups ( P<0.001 for all). The L-DH (4.61±0.16) achieved the highest subjective image quality score, which was statistically higher than the scores in the other six groups ( P<0.001 for all) except for the S-DM group (4.31±0.19). There was good consistency among the radiologists regarding objective parameter measurements and subjective image quality scores ( ICC=0.584-0.960). Conclusion:Compared to standard-dose CTPV at 120 kV, the combination of 100 kV with the DLIR algorithm significantly reduced the radiation dose by 51% in CTPV while maintaining higher SNR, CNR and subjective scores. The high-level DLIR algorithm produced the best image quality for 100 kV CTPV.

Objective:To explore the factors that promote and hinder exercise adherence in long dialysis duration hemodialysis patients, and to provide a reference for improving their exercise levels.Methods:From March to May 2023, a qualitative research method using phenomenon approach was conducted and 15 patients with peritoneal dialysis for at least 10 years at the People′s Liberation Army Central Command Headquarters Hospital (Hankou Hospital) were selected for in-depth interviews using purposive sampling method. The data were analyzed using Colaizzi 7-step method and the main themes were extracted.Results:Among the 15 interviewers, there were 5 males and 10 females, aged 39-76 years old.Conclusions:The exercise level of long dialysis duration hemodialysis patients is influenced by multiple factors. Medical staff should correct their cognitive biases and change their behavioral attitudes, strengthen external supportive environments and reduce subjective normative pressures, gradually provide more objective support, thereby promoting the exercise training of long dialysis duration hemodialysis patients.

BACKGROUND:One-hole split endoscope technique has been widely used in the treatment of lumbar degenerative diseases,but there is no relevant literature on the safety analysis of this technique in the treatment of upper lumbar disc herniation. OBJECTIVE:To observe the position relationship of nerve roots,intervertebral space and bone landmarks in the upper lumbar spine by three-dimensional lumbar CT reconstruction technology,and to provide a basis for the clinical operation of one-hole split endoscope surgery. METHODS:Twenty-six patients with upper lumbar disc herniation underwent a lumbar CT scan.Mimics 17.0 software was imported to measure the related imaging parameters of L1/2 to L3/4 segments:(1)Measurement of vertical distance:In coronal view,the distance(a)from the intersection point of the medial facet of the superior articular process and the superior endplate(N)to the apex of the articular process(S);in the coronal view,the distance(b)from the sagittal intersection(M)of N and the inferior endplate to the apex of the inferior articular process(X).(2)Measured horizontal distance:the distance(c)between the cross-section of N and the lower edge of the outlet nerve root(N2);distance(d)between the cross-section of N and the intersection point of neural tissue(N1);N1 to N2 distance(e);distance(f)between the cross-section of M and the lateral edge of the nerve tissue(M1);M to M cross-section and exit nerve root intersection(M2)distance(g);distance(h)from M1 to M2;distance(i)from M2 to N1;distance(j)from the posterior edge of the articular surface(R)to M2 in sagittal view of the superior articular process. RESULTS AND CONCLUSION:(1)With the decrease of the segment,the distances a and b gradually increased,and the distance j gradually decreased.There was no significant difference between L1/2 and L2/3 segments(P>0.05).(2)With the decrease of the segment,distance d first decreased and then increased;distance f gradually decreased;distances c,e,g,h and i gradually increased;and there was no significant difference between L2/3 and L3/4 segments(P>0.05).(3)Distance i was the shortest distance without pulling nerve roots in the natural state,and the area of the safety zone was between four points M1,M2,N1,and N2.The bone was removed to the upper and lower endplates by biting the bone downward and upward through S and X,respectively,to expose the intervertebral space,and the window of distance g to M2 could be opened outward to avoid injury of the outlet nerve roots.(4)In conclusion,the upper lumbar vertebrae have unique anatomical characteristics.Based on the relevant measurements of nerve roots,spinal dura and intervertebral space,the parameters of the one-hole split endoscope technique are more accurate and safe during operation.

Objective:To propose a model that could improve image quality of cone-beam computed tomography(CBCT),which based on region-discriminative generative adversarial networks(GAN),in radiotherapy for cervical cancer,so as to meet the requirements of self-adaptive radiotherapy for image quality.Methods:We employed a region-discriminative strategy and a generative adversarial networks idea to construct a model of improving CBCT image quality that could focus on local details of the images of radiotherapy for cervical cancer,which discriminator could improve the quality of generating local details of images.This model of image quality was applied to CBCT images of radiotherapy for cervical cancer.And then,the effects of processing image were evaluated through quantitative indicators and visualization.Results:Both texture clarity and contrast were significantly enhanced after CBCT image quality was improved.The signal to noise ratio of peak value of images was increased by 47.2%,and the indicator of similarity of structure was enhanced to>0.838.Compared with other model,both visualization and indicators can appear better efficiency of model.Compared with Unet network and CycleGAN network,the similarities of structure were respectively increased by 11.88% and 19.54%,and the signal to noise ratios were respectively increased by 19.75% and 25.99%.Conclusion:The GAN bases on region-discrimination can significantly improve the quality of generating integral and detailed CBCT image of radiotherapy for cervical cancer,which can provide new technical pathway for image quality of CBCT with low dose,and can play an important role for improving safety and effectiveness of radiotherapy.It has importantly clinical value for formulating and executing radiotherapy plan.