OBJECTIVETo throw light on the superiority of the anti-angiogenesis activity of endostatin (ES) derivatives by reviewing the recent progress in the field of ES molecular structure modification.

DATA SOURCESThe data used in this article were mainly from PubMed with relevant English articles published from 1971 to May 2008. The search terms were "endostatin" and "angiothesis".

STUDY SELECTIONArticles involved in the ES molecular structure modification and the original milestone articles were selected.

RESULTSA number of ES derivatives were designed and studied to improve its clinical relevance. The modified ES with polyethylene glycol (PEG), low molecular weight heparin (LMWH) and IgG Fc domain extended the circulation half-life. Meanwhile the recombinant ESs showed more potent anti-tumor activity than native ES in mouse xenografts. Mutated ES also changed its anti-angiogenesis activity.

CONCLUSIONSThe anti-angiogenesis treatment remains a promising tumor therapeutic strategy. New ES derivatives would be a good choice to meet the future challenge on clinical application of ES.

Angiogenesis Inhibitors ; pharmacokinetics ; therapeutic use ; Animals ; Endostatins ; pharmacokinetics ; therapeutic use ; Humans ; Neovascularization, Pathologic ; drug therapy

Lung cancer is a complex disease with its own challenges, and is considered to be one of the most common causes of cancer death worldwide. The coronavirus disease 2019 (COVID-19) pandemic, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has exacerbated these challenges. The aim of this review is to explore the impact of the COVID-19 pandemic on the screening, diagnosis and treatment of lung cancer. We hope to provide some experience and help for the whole process management of lung cancer patients.

OBJECTIVE: To explore the long-term effectiveness of arthroscopic partial repair in treatment of massive irreparable rotator cuff tears from both the radiological and clinical perspectives. METHODS: A retrospective analysis was conducted on the clinical data of 24 patients (25 sides) with massive irreparable rotator cuff tears who met the inclusion criteria between May 2006 and September 2014. Among them, there were 17 males (18 sides) and 7 females (7 sides) with an age range of 43-67 years (mean, 55.0 years). There were 23 cases of unilateral injury and 1 case of bilateral injuries. All patients were treated with the arthroscopic partial repair. The active range of motion of forward elevation and abduction, external rotation, and internal rotation, as well as the muscle strength for forward flexion and external rotation, were recorded before operation, at the first postoperative follow-up, and at last follow-up. The American Association of Shoulder and Elbow Surgeons (ASES) score, the University of California at Los Angeles (UCLA) shoulder scoring, and Constant score were used to evaluate shoulder joint function. And the visual analogue scale (VAS) score was used to evaluate shoulder joint pain. MRI examination was performed. The signal-to-noise quotient (SNQ) was measured above the anchor point near the footprint area (m area) and above the glenoid (g area) in the oblique coronal T2 fat suppression sequence. The atrophy of the supraspinatus muscle was evaluated using the tangent sign. The global fatty degeneration index (GFDI) was measured to assess fat infiltration in the supraspinatus muscle, infraspinatus muscle, teres minor muscle, upper and lower parts of the subscapularis muscle. The mean GFDI (GFDI-5) of 5 muscles was calculated. RESULTS: The incisions healed by first intention. All patients were followed up with the first follow-up time of 1.0-1.7 years (mean, 1.3 years) and the last follow-up time of 7-11 years (mean, 8.4 years). At last follow-up, the range of motion and muscle strength of forward elevation and abduction, ASES score, Constant score, UCLA score, and VAS score of the patients significantly improved when compared with those before operation ( P<0.05). Compared with the first follow-up, except for a significant increase in ASES score ( P<0.05), there was no significant difference in the other indicators ( P>0.05). Compared with those before operation, the degree of supraspinatus muscle infiltration worsened at last follow-up ( P<0.05), GFDI-5 increased significantly ( P<0.05), and there was significant difference in the tangent sign ( P<0.05); while there was no significant difference in the infiltration degree of infraspinatus muscle, teres minor muscle, and subscapularis muscle, upper and lower parts of the subscapularis muscle ( P>0.05). Compared with the first follow-up, the SNQm and SNQg decreased significantly at last follow-up ( P<0.05). At the first and last follow-up, there was no correlation between the SNQm and SNQg and the ASES score, Constant score, UCLA score, and VAS score of the shoulder ( P>0.05). CONCLUSION Arthroscopic partial repair is effective in treating massive irreparable rotator cuff tear and significantly improves long-term shoulder joint function. For patients with severe preoperative fat infiltration involving a large number of tendons and poor quality of repairable tendons, it is suggested to consider other treatment methods.
Male ; Female ; Humans ; Adult ; Middle Aged ; Aged ; Rotator Cuff Injuries/surgery* ; Retrospective Studies ; Shoulder Joint/surgery* ; Treatment Outcome ; Arthroscopy/methods* ; Range of Motion, Articular

An auxiliary dining robot is designed in this paper, which implements the humanoid feeding function with theory of inventive problem solving (TRIZ) theory and aims at the demand of special auxiliary nursing equipment. Firstly, this robot simulated the motion function of human arm by using the tandem joints of the manipulator. The end-effector used a motor-driven spoon to simulate the feeding actions of human hand. Meanwhile, the eye in hand installation style was adopted to instead the human vision to realize its automatic feeding action. Moreover, the feeding and drinking actions of the dining robot were considered comprehensively with the flexibility of spatial movement under the lowest degree of freedom (DOF) configuration. The structure of the dining robot was confirmed by analyzing its stresses and discussing the specific application scenarios under this condition. Finally, the simulation results demonstrate high-flexibility of the dining robot in the workspace with lowest DOF configuration.
Computer Simulation ; Equipment Design ; Hand ; Humans ; Movement ; Robotics/methods*

Objective    To summarize the clinical result of a combined technical system for bicuspid aortic valve (BAV) repair. Methods    Patients who diagnosed as BAV and sever aortic regurgitation (AR) underwent a strategy of combined repair technics including annuloplasty, sinus plasty, leaflet plasty, sinus-tubular junction (STJ) plasty depending on anatomy pathological characteristics between October 2019 and January 2021 were enrolled. The clinical data of the patients were analyzed. Results    A total of 17 patients were enrolled. There were 11 males and 6 females with an average age of 18-49 (32.4±13.6) years. Fifteen patients had typeⅠand 2 patients had typeⅡBAV according to Sievers classification. Annuloplasty was applicated in 13 patients, sinus plasty in 8 patients, leaflet plasty in 17 patients, and STJ plasty in 11 patients, respectively. The cardiopulmonary bypass (CPB) time was 95 (84, 135) min, aortic cross-clamping time was 68 (57, 112) min, and the ICU stay time was 17 (12, 25) h. After the operation, mild AR was presented in 14 patients, moderate AR in 1 patient and severe AR in 2 patients. The latter 3 patients underwent second operation under CPB, after then, 1 patient had mild AR and 2 patients had moderate AR. The follow-up time was 13.1±4.6 months. At the latest follow-up, 12 patients had mild AR and 5 patients had moderate AR, and no patient had reoperation. Conclusion    A combined technical system for BAV repair can be used effectively and safely with an acceptable short and middle-term result.

HFE gene is a major histocompatibility complex class I-like gene, which was identified as a candidate gene for hemochromatosis in 1996. The proposed role for HFE is its part in the regulation of the interaction of the transferrin receptor with transferrin. Hemochromatosis, the common autosomal recessive disease of iron overload, affects at least 1 in 300 Caucasians. The identification of the C282Y mutation in the HFE gene has led to population screening studies. Much of this work has also included the analysis of a second mutation, H63D, which appears to have a low penetrability. HFE protein was recently found to coprecipitate with the transferrin receptor and to affect the reaction between transferrin and the transferrin receptor. Functional data suggest that the mutation C282Y abolishes the association of the HFE protein with beta 2-microglobulin (beta 2M), making the complex unable to reach the cell surface. Clearly, if the mutation protein is unable to reach the cell surface, this regulatory feature is missing. The role of a second mutation in the HFE gene, H63D, is less clear. Current data suggest that this mutation protein can associate with beta 2-microglobulin and does reach the cell surface and that the defect lies in a failure to modify the affinity of the transferrin receptor for transferrin. This does not explain the low degree of penetrability associated with this mutation.
Gene Frequency ; HLA Antigens ; genetics ; Hemochromatosis ; genetics ; Hemochromatosis Protein ; Histocompatibility Antigens Class I ; genetics ; Humans ; Membrane Proteins ; Mutation

Photoplethysmography (PPG) is a non-invasive technique to measure heart rate at a lower cost, and it has been recently widely used in smart wearable devices. However, as PPG is easily affected by noises under high-intensity movement, the measured heart rate in sports has low precision. To tackle the problem, this paper proposed a heart rate extraction algorithm based on self-adaptive heart rate separation model. The algorithm firstly preprocessed acceleration and PPG signals, from which cadence and heart rate history were extracted respectively. A self-adaptive model was made based on the connection between the extracted information and current heart rate, and to output possible domain of the heart rate accordingly. The algorithm proposed in this article removed the interference from strong noises by narrowing the domain of real heart rate. From experimental results on the PPG dataset used in 2015 IEEE Signal Processing Cup, the average absolute error on 12 training sets was 1.12 beat per minute (bpm) (Pearson correlation coefficient: 0.996; consistency error: -0.184 bpm). The average absolute error on 10 testing sets was 3.19 bpm (Pearson correlation coefficient: 0.990; consistency error: 1.327 bpm). From experimental results, the algorithm proposed in this paper can effectively extract heart rate information under noises and has the potential to be put in usage in smart wearable devices.
Algorithms ; Heart Rate/physiology* ; Photoplethysmography/methods* ; Signal Processing, Computer-Assisted ; Wearable Electronic Devices

At present, the upper limb function of stroke patients is often assessed clinically using a scale method, but this method has problems such as time-consuming, poor consistency of assessment results, and high participation of rehabilitation physicians. To overcome the shortcomings of the scale method, intelligent upper limb function assessment systems combining sensors and machine learning algorithms have become one of the hot research topics in recent years. Firstly, the commonly used clinical upper limb functional assessment methods are analyzed and summarized. Then the researches on intelligent assessment systems in recent years are reviewed, focusing on the technologies used in the data acquisition and data processing parts of intelligent assessment systems and their advantages and disadvantages. Lastly, the current challenges and future development directions of intelligent assessment systems are discussed. This review is hoped to provide valuable reference information for researchers in related fields.
Algorithms ; Humans ; Physical Therapy Modalities ; Stroke/diagnosis* ; Stroke Rehabilitation ; Upper Extremity

The Monte Carlo N-Particle (MCNP) is often used to calculate the radiation dose during computed tomography (CT) scans. However, the physical calculation process of the model is complicated, the input file structure of the program is complex, and the three-dimensional (3D) display of the geometric model is not supported, so that the researchers cannot establish an accurate CT radiation system model, which affects the accuracy of the dose calculation results. Aiming at these two problems, this study designed a software that visualized CT modeling and automatically generated input files. In terms of model calculation, the theoretical basis was based on the integration of CT modeling improvement schemes of major researchers. For 3D model visualization, LabVIEW was used as the new development platform, constructive solid geometry (CSG) was used as the algorithm principle, and the introduction of editing of MCNP input files was used to visualize CT geometry modeling. Compared with a CT model established by a recent study, the root mean square error between the results simulated by this visual CT modeling software and the actual measurement was smaller. In conclusion, the proposed CT visualization modeling software can not only help researchers to obtain an accurate CT radiation system model, but also provide a new research idea for the geometric modeling visualization method of MCNP.
Radiation Dosage ; Software Design ; Tomography, X-Ray Computed/methods* ; Software ; Algorithms ; Phantoms, Imaging ; Monte Carlo Method

Objective    To construct a prognostic model of esophageal squamous cell carcinoma (ESCC) based on immune checkpoint-related genes and explore the potential relationship between these genes and the tumor microenvironment (TME). Methods     The transcriptome sequencing data and clinical information of immune checkpoint genes of samples from GSE53625 in GEO database were collected. The difference of gene expression between ESCC and normal paracancerous tissues was evaluated, and the drug sensitivity of differentially expressed genes in ESCC was analyzed. We then constructed a risk model based on survival-related genes and explored the prognostic characteristics, enriched pathway, immune checkpoints, immune score, immune cell infiltration, and potentially sensitive drugs of different risk groups. Results    A total of 358 samples from 179 patients were enrolled, including 179 ESCC samples and 179 corresponding paracancerous tissues. There were 33 males and 146 females, including 80 patients≤60 years and 99 patients>60 years. 39 immune checkpoint genes were differentially expressed in ESCC, including 14 low expression genes and 25 high expression genes. Drug sensitivity analysis of 8 highly expressed genes (TNFRSF8, CTLA4, TNFRSF4, CD276, TNFSF4, IDO1, CD80, TNFRSF18) showed that many compounds were sensitive to these immunotherapy targets. A risk model based on three prognostic genes (NRP1, ICOSLG, HHLA2) was constructed by the least absolute shrinkage and selection operator analysis. It was found that the overall survival time of the high-risk group was significantly lower than that of the low-risk group (P<0.001). Similar results were obtained in different ESCC subtypes. The risk score based on the immune checkpoint gene was identified as an independent prognostic factor for ESCC. Different risk groups had unique enriched pathways, immune cell infiltration, TME, and sensitive drugs. Conclusion     A prognostic model based on immune checkpoint gene is established, which can accurately stratify ESCC and provide potential sensitive drugs for ESCC with different risks, thus providing a possibility for personalized treatment of ESCC.