Rare diseases still lack effective treatments, and the development of drugs for rare diseases (known as orphan drugs) is an urgent medical problem. As natural active ingredients in living organisms, some biomacromolecule drugs have good biocompatibility, low immunogenicity, and high targeting. They have become one of the most promising fields in drug research and development in the 21st century. However, there are still many obstacles in terms of in vivo delivery. In view of the unique advantages of nanocarriers prepared from polymers, lipids, organic biomimetic and inorganic materials in drug delivery, researchers are committed to building an efficient delivery system with versatility and synergy to solve the bottleneck issues in treating rare diseases with biomacromolecule drugs. Therefore, this article reviews the research progress of nanocarrier delivering proteins, peptides and nucleic acids in the field of rare disease treatment in the past ten years, which provides ideas for researches on biomacromolecule drug nanosystems in the field of treatment of rare diseases.

Objective To study the stress change characteristics of the cervical disc after removing different ranges of the uncinate process by establishing a three⁃dimensional finite element model of the C

In the past few decades, microbubbles were widely used as ultrasound contrast agents in the field of tumor imaging. With the development of research, ultrasound targeted microbubble destruction technology combined with drug-loaded microbubbles can achieve precise drug release and play a therapeutic role. As a micron-scale carrier, microbubbles are difficult to penetrate the endothelial cell space of tumors, and nano-scale drug delivery system—nanobubbles came into being. The structure of the two is similar, but the difference in size highlights the unique advantages of nanobubbles in drug delivery. Based on the classification principle of shell materials, this review summarized micro/nanobubbles used for ultrasound diagnosis or treatment and discussed the possible development directions, providing references for the subsequent development.

Objective To investigate the feasibility of developing a grading diagnostic model for schistosomiasis-induced liver fibrosis based on B-mode ultrasonographic images and clinical laboratory indicators. Methods Ultrasound images and clinical laboratory testing data were captured from schistosomiasis patients admitted to the Second People’s Hospital of Duchang County, Jiangxi Province from 2018 to 2022. Patients with grade I schistosomiasis-induced liver fibrosis were enrolled in Group 1, and patients with grade II and III schistosomiasis-induced liver fibrosis were enrolled in Group 2. The machine learning binary classification tasks were created based on patients’radiomics and clinical laboratory data from 2018 to 2021 as the training set, and patients’radiomics and clinical laboratory data in 2022 as the validation set. The features of ultrasonographic images were labeled with the ITK-SNAP software, and the features of ultrasonographic images were extracted using the Python 3.7 package and PyRadiomics toolkit. The difference in the features of ultrasonographic images was compared between groups with t test or Mann-Whitney U test, and the key imaging features were selected with the least absolute shrinkage and selection operator (LASSO) regression algorithm. Four machine learning models were created using the Scikit-learn repository, including the support vector machine (SVM), random forest (RF), linear regression (LR) and extreme gradient boosting (XGBoost). The optimal machine learning model was screened with the receiver operating characteristic curve (ROC), and features with the greatest contributions to the differentiation features of ultrasound images in machine learning models with the SHapley Additive exPlanations (SHAP) method. Results The ultrasonographic imaging data and clinical laboratory testing data from 491 schistosomiasis patients from 2019 to 2022 were included in the study, and a total of 851 radiomics features and 54 clinical laboratory indicators were captured. Following statistical tests (t = −5.98 to 4.80, U = 6 550 to 20 994, all P values < 0.05) and screening of key features with LASSO regression, 44 features or indicators were included for the subsequent modeling. The areas under ROC curve (AUCs) were 0.763 and 0.611 for the training and validation sets of the SVM model based on clinical laboratory indicators, 0.951 and 0.892 for the training and validation sets of the SVM model based on radiomics, and 0.960 and 0.913 for the training and validation sets of the multimodal SVM model. The 10 greatest contributing features or indicators in machine learning models included 2 clinical laboratory indicators and 8 radiomics features. Conclusions The multimodal machine learning models created based on ultrasound-based radiomics and clinical laboratory indicators are feasible for intelligent identification of schistosomiasis-induced liver fibrosis, and are effective to improve the classification effect of one-class data models.

Objective To investigate the curative effect of suture anchor(SA)repair combined with open reduction and internal fixation(ORIF)on patients with ankle joint fracture(AF)combined with deltoid ligament injury(DLI).Methods A total of 138 patients with AF combined with DLI admitted to our hospital from January 2020 to September 2022 were selected and divided into the control group(69 cases)and the observation group(69 cases)according to the random number table method.Patients in the control group were treated with ORIF,while patients in the observation group were treated with SA repair on the basis of the control group.The clinical efficacy,American Orthopedic Foot and Ankle Society(AOFAS)score,visual analogue scale(VAS)score,talus inclination angle,medial malleolar space of affected side,bone metabolic indexes[serum bone gla protein(BGP),β-collagen degradation product(β-CTX)]levels and the incidence of complications before and 3 months after treatment were compared between the two groups.Results The total effective rate in the observation group was higher than that in the control group,and the difference was statistically significant(P<0.05).Compared with before treatment,the talus inclination angle,medial malleolar space of affected side,VAS score,β-CTX level 3 months after treatment of patients in the two groups were reduced,while the AOFAS score and BGP level were increased,and the differences were statistically significant(P<0.05).After treatment,the AOFAS score and BGP level in the observation group were higher than those in the control group,while the talus inclination angle and medial malleolar space of affected side were smaller than those in the control group,and the VAS score and β-CTX level were lower than those in the control group,with statistically significant differences(P<0.05).The total incidence of complications in the observation group was lower than that in the control group,and the difference was statistically significant(P<0.05).Conclusion SA repair has a definite therapeutic effect on AF combined with DLI,which can improve patients' symptoms and promote the recovery of ankle joint function and bone metabolism.

Objective To observe the effect of cervical degenerative change on the expression of vascular endothelial growth factor(VEGF)and vascular endothelial growth factor receptor-2(VEGFR-2).Methods The C3 to C7 segments of bilateral healthy cervical vertebrae of adult cadavers were taken as the control group,and the C3 to C7 segments of bilateral degenerative cervical vertebrae of adult cadavers were taken as the experimental group.The expression changes of VEGF and VEGFR-2 of the two groups were observed and analyzed by immunohistochemistry,immunofluorescence staining and real-time quantitative PCR.Results The protein and mRNA expressions of VEGF and VEGFR-2 in the experimental group were higher than those in the control group,with statistically significant differences(P<0.05).Conclusion Cervical Luschka joint degenerative change significantly up-regulates the expression of VEGF and VEGFR-2,which is closely related to the microenvironmental changes around the Luschka joint caused by degeneration of joint-like structure.

In the research on cancer theranostics, most environment-sensitive drug delivery systems can only achieve unidirectional and irreversible responsive changes under pathological conditions, thereby improving the targeting effect and drug release performance of the delivery system. However, such irreversible changes pose potential safety hazards when the dynamically distributed delivery system returns to the blood circulation or transports to the normal physiological environment. Intelligent reversible drug delivery systems can respond to normal physiological and pathological microenvironments to achieve bidirectional and reversible structural changes. This feature will help to precisely control the drug release of the delivery system, prolong the blood circulation time, improve the targeting efficiency, and avoid the potential safety hazards of the irreversible drug delivery system. In this review, we describe the research progress of intelligent reversible drug delivery system from two main aspects: controlled drug release and prolonged blood circulation time/enhanced cellular internalization of drug.

Malignant tumor is a major disease affecting human health. The nano-delivery system itself has a unique size effect and it can achieve tumor-targeted distribution of drug molecules, improve the therapeutic effect, and reduce the toxic and side effects on normal tissues and cells after functional modification. Patient-derived xenografts (PDX) models can be established by transplanting patient-derived cancer cells or small tumor tissue into immunodeficient mice directly. Compared with the tumor cell line model, this model can preserve the key features of the primary tumor such as histomorphology, heterogeneity, and genetic abnormalities, and keep them stable between generations. PDX models are widely used in drug evaluation, target discovery and biomarker development, especially providing a reliable research platform for the diagnosis and treatment evaluation of nano-delivery systems. This review summarizes the application of several common cancer PDX models in the evaluation of nano-delivery systems, in order to provide references for researchers to perform related research.

The bacterial ATP-competitive GyrB/ParE subunits of type II topoisomerase are important anti-bacterial targets to treat super drug-resistant bacterial infections. Herein we discovered novel pyrrolamide-type GyrB/ParE inhibitors based on the structural modifications of the candidate AZD5099 that was withdrawn from the clinical trials due to safety liabilities such as mitochondrial toxicity. The hydroxyisopropyl pyridazine compound 28 had a significant inhibitory effect on Gyrase (GyrB, IC₅₀ = 49 nmol/L) and a modest inhibitory effect on Topo IV (ParE, IC₅₀ = 1.513 μmol/L) of Staphylococcus aureus. It also had significant antibacterial activities on susceptible and resistant Gram-positive bacteria with a minimum inhibitory concentration (MIC) of less than 0.03 μg/mL, which showed a time-dependent bactericidal effect and low frequencies of spontaneous resistance against S. aureus. Compound 28 had better protective effects than the positive control drugs such as DS-2969 ( 5) and AZD5099 ( 6) in mouse models of sepsis induced by methicillin-resistant Staphylococcus aureus (MRSA) infection. It also showed better bactericidal activities than clinically used vancomycin in the mouse thigh MRSA infection models. Moreover, compound 28 has much lower mitochondrial toxicity than AZD5099 ( 6) as well as excellent therapeutic indexes and pharmacokinetic properties. At present, compound 28 has been evaluated as a pre-clinical drug candidate for the treatment of drug-resistant Gram-positive bacterial infection. On the other hand, compound 28 also has good inhibitory activities against stubborn Gram-negative bacteria such as Escherichia coli (MIC = 1 μg/mL), which is comparable with the most potent pyrrolamide-type GyrB/ParE inhibitors reported recently. In addition, the structure-activity relationships of the compounds were also studied.

Based our previous work, twelve purine derivatives were designed and synthesized as dual modulators of GPR119 and DPP-4by conjugating the GPR119 activating and DPP-4 inhibiting fragments with the position 6 and 9 of purine core via an approach of merged pharmacophores. Compound 11, bearing 2-fluoro-4-methylsulphonyl anilide and cyanopyrrolidine moieties, exhibited the most potent GPR119 agonistic activities (EC₅₀ = 0.33 μmol·L^-1, IA = 71.1%) and DPP-4 inhibitory (58.4% inhibition at 10 μmol·L^-1, 21.2% inhibition at 1 μmol·L^-1) activities in the in vitro antidiabetic study. Subsequently, we performed studies on structure activity relationships and molecular docking to guide the further drug design.