Plant-derived extracellular vesicles (PDEVs), describe a group of nanoparticles released by plants. These particles are characterized by a lipid bilayer structure containing various proteins, lipids, nucleic acids, and unique metabolites. Although the study on PDEVs is relatively new, having only been around for ten years, they have shown promising development prospects in both basic research and clinical transformation areas. Evidence suggests that PDEVs have excellent application prospects in regulating inflammation and treating tumors. Their distinctive, vesicle-mimicking architecture and stellar biocompatibility render them prime candidates for ferrying various anti-cancer agents, including RNA, proteins, and conventional chemotherapy drugs. Increasingly, studies have shown that PDEVs can be engineered as an innovative platform for combination cancer immunotherapy. Consequently, this paper provides an extensive summary of current developments in engineering methods and strategies for PDEVs in cancer treatment and combined cancer immune therapeutics. The essential characteristics of PDEVs, including the biogenesis process and components, as well as their anti-tumor activity and mechanism, are summarized. Finally, the in vivo safety of PDEVs as delivery vectors and the challenges of scale-up production and clinical transformation are discussed.

Objective: To systematically evaluate the influencing factors for medication compliance in patients with comorbidities of chronic diseases, so as to provide the evidence for improving medication compliance. Methods: Literature on influencing factors for medication compliance in patients with comorbidities of chronic diseases were retrived from CNKI, Wanfang Data, VIP, SinoMed, PubMed, Web of Science, Cochrane Library and Embase from inception to January 20, 2024. After independent literature screening, data extraction, and quality assessment by two researchers, a meta-analysis was performed using RevMan 5.4 and Stata 16.0 softwares. Literature were excluded one by one for sensitivity analysis. Publication bias was assessed using Egger's test. Results: Initially, 7 365 relevant articles were retrieved, and 35 of them were finally included, with a total sample size of about 150 000 individuals. There were 30 cross-sectional studies and 5 cohort studies; and 11 high-quality studies and 24 medium-quality studies. The meta-analysis showed that the demographic factors of lower level of education (OR=2.148, 95%CI: 1.711-2.696), lower economic income (OR=1.897, 95%CI: 1.589-2.264), male (OR=0.877, 95%CI: 0.782-0.985), living alone (OR=2.833, 95%CI: 1.756-4.569) and unmarried (OR=2.784, 95%CI: 1.251-6.196); the medication treatment factors of polypharmacy (OR=1.794, 95%CI: 1.190-2.706), potentially inappropriate medication (OR=2.988, 95%CI: 1.527-5.847), low frequency of daily medication (OR=0.533, 95%CI: 0.376-0.754) and adverse drug reactions (OR=3.319, 95%CI: 1.967-5.602); the disease factors of long course of disease (OR=2.118, 95%CI: 1.643-2.730), more comorbidities (OR=1.667, 95%CI: 1.143-2.431) and cognitive impairment (OR=2.007, 95%CI: 1.401-2.874); and the psychosocial factors of poor belief in taking medication (OR=1.251, 95%CI: 1.011-1.547), poor self-rated health (OR=1.990, 95%CI: 1.571-2.522) and being guided by healthcare professionals (OR=0.151, 95%CI: 0.062-0.368) were the influencing factors for medication compliance in patients with chronic comorbidities. Conclusion The medication compliance in patients with comorbidities of chronic diseases is associated with demographic factors, pharmacological factors, disease factors and psychosocial factors, mainly including living alone, adverse drug reactions, course of disease, number of comorbidities and medication beliefs.

Objective:To investigate the application value of Th1/Th2 cytokines,interleukin-17(IL-17)and serum tumor markers in the diagnosis,prognosis and recurrence of breast cancer.Methods:A total of 200 patients with breast cancer admitted to Inner Mongolia Hospital of Peking University Cancer Hospital from December 2021 to December 2022 were selected,and they were divided into negative group(60 cases),weakly positive(80 cases)group and positive group(60 cases)according to immunohistochemistry indicators.In addition,another 60 persons who underwent physical examination were selected as healthy control group.The changes of the Th1/Th2,IL-17,CA125,CYFRA21-1,CA153 and CEA levels were observed,and the clinical value of the combined detection of the 6 indicators in predicting the prognosis and recurrence of breast cancer was investigated.Results:The results of comparative analysis indicated that the clinical pathological features related to recurrence,histological grading,tumor diameter and lymph node metastasis(x2=7.552,12.037,12.063,8.543,P＜0.05),respectively.Multivariate analysis showed that tumor recurrence,tissue grading,tumor diameter and lymph node metastasis were the important factors for the prognosis of patients with breast cancer(OR=3.096,3.050,3.425,3.031,P＜0.05).Compared with the single prediction of Th1/Th2,IL-17,CA125,CYFRA21-1,CA153 and CEA,the combined prediction of 6 indicators had higher clinical value for prognosis and recurrence of patients with breast cancer,which sensitivity,accuracy and specificity were respectively 96%,93.46%and 85%.Conclusion:The observation on the changes of the combined predictive levels of 6 items,which include Th1/Th2,IL-17,CA125,CYFRA21-1,CA153 and CEA of patients,indicates that the combined detection has high sensitivity and accuracy.This highly efficient and convenient detection method can provide references for improving the prognosis,reducing the recurrence and enhancing the accuracy of assessment.

The treatment of bone defects caused by fractures or bone tissue lesions has always been a difficult problem in the field of orthopedics.Implantation of high-performance titanium alloy prosthesis is an effective method to treat bone defects.3D printing technology can produce low-modulus titanium alloy implants with porous structures,providing a better solution to the above problems.This technology is convenient to design and has a huge advantage in making orthopedic implants.The article used electron beam melting in 3D printing technology to create two samples of Ti-6Al-4V prosthesis,including solid structural pelvic prosthesis and porous structural pelvic prosthesis.The mechanical properties of the prosthesis showed that the yield and tensile strengths of the rod tensile specimen were 894 MPa and 956 MPa,respectively,and the compressive modulus and compressive strength of the porous pelvic prosthesis were 55 GPa and 65.2 MPa,respectively.The results of the L929 cytotoxicity assay and the MC3T3-E1 cell adhesion assay demonstrated good biocompatibility of the prosthetic samples.New Zealand white rabbits were used to prepare the femoral joint cavity defect models and two pelvic prostheses were implanted.A microscopic CT scan 4 weeks after implantation showed that the bone defect caused by the drill had healed and that the porous structure of the pelvic prosthesis formed a new trabecular structure within the hole.In conclusion,the 3D printed Ti-6Al-4V pelvic prosthesis has excellent mechanical properties,biocompatibility,and the ability to promote new bone growth.

Chemokines and their receptors play crucial roles in nervous system diseases,among which the CXC chemokine receptor 3(CXCR3)is an important mediator of intercellular communication.CXCR3 not only participates in inflammatory chemotaxis and malignant behaviors of tumor cells but also regulates the neurologic diseases.CXCR3 and its ligands directly or indirectly contribute to neuroinflammation and neuroimmunity,and potentially serve as therapeutic targets for diseases like multiple sclerosis,Alzheimer's disease,and glioma and so on.This review discusses the expression and impact of CXCR3 and its ligands in neurological diseases such as multiple sclerosis,neurologic tumors,neurodegenerative diseases,and neuropathic pain,as well as their associations with CXCR3 ligands.Understanding the mechanisms linking CXCR3 to these diseases could facilitate its potential as an early diagnostic biomarker and a target for drug intervention,and provide the basis of studying the occurrence and developmant of nervous system disease.

Objective:To report a case of Kufor-Rakeb syndrome caused by novel ATP13A2 mutation, collect the cases related to ATP13A2 gene mutation published in recent years, summarize the clinical manifestations of the disease, and broaden the clinical diagnostic thinking. Methods:The clinical manifestations of a newly diagnosed patient with Kufor-Rakeb syndrome caused by ATP13A2 gene mutation admitted to Zhongda Hospital, Southeast University on November 26, 2021, were summarized. The related cases of ATP13A2 mutation published from January 2000 to December 2021 were searched through the PubMed and CNKI databases using the keywords "ATP13A2" and "Parkinson′s disease". The onset age, clinical symptoms, family history, genetic testing, and levodopa responsiveness results of the patients were collected. Results:The patient is a 52-year-old female with the main clinical symptoms of static tremor and bradykinesia. Physical examination showed a gear like increase in muscle tension in the right upper limb, involuntary shaking of the right hand and slow movement. She had good responsiveness to levodopa, and the magnetic resonance imaging and susceptibility weighted imaging of the head showed a lack of clear observation of bilateral black matter swallowtail sign. Whole exome sequencing showed that mutations c.3010A>G (p.S1004G) and c.1195+5G>A (splice) were found in the ATP13A2 gene, both of which were not reported. The c.3010A>G (p.S1004G) mutation originated from the mother, and the c.1195+5G>A (splice) mutation originated from the father. In the retrospective literature review, a total of 10 cases were collected, with onset ages ranging from 18 months to 24 years. Among them, 4/10 patients′ parents married close relatives, and the clinical manifestations were mainly motor symptoms of Parkinson′s disease. In addition, 5/10 patients had cognitive dysfunction, and 3/10 patients had mental symptoms. And demonstrations of most patients′ magnetic resonance imaging were normal in the early stage of the disease, and as the disease progressed, some patients′ imaging results showed specific changes, such as whole brain atrophy and changes in the corpus callosum. Meanwhile, 8/10 patients showed good responsiveness to levodopa. Conclusions:Kufor-Rakeb syndrome is a special type of adolescent levodopa responsive Parkinson′s disease caused by ATP13A2 mutation, which is an autosomal recessive disorder. In addition to motor symptoms such as static tremor and bradykinesia, its clinical manifestations may also be accompanied by non motor symptoms such as cognitive and psychiatric disorders. The disease responds well to treatment with levodopa.

Objective:To summarize the best evidence of medication adherence interventions for patients with multiple chronic conditions.Methods:According to the "6S" evidence model, literature on medication adherence in patients with multiple chronic conditions was retrieved from BMJ Best Clinical Practice, UpToDate, Medlive, National Institute for Health and Clinical Excellence, Cochrane Library, Embase, PubMed, Web of Science, China Biology Medicine disc, China National Knowledge Infrastructure, WanFang data and so on. The search period was from establishing the database to August 30, 2023.Results:A total of 16 articles were included, including three guidelines, four expert consensus, seven systematic reviews, and two meta-analyses. Twenty-seven pieces of evidence were summarized from six aspects of compliance assessment, educational intervention, behavioral intervention, optimized treatment program, technical reminder intervention, and social-psychological-emotional intervention.Conclusions:The best evidence of medication adherence interventions for patients with multiple chronic conditions summarized provides a reference for medical and nursing staff to develop medication adherence interventions.

Objective:To study the effects and the related molecular mechanisms of miR-148a-3p on the proliferation,invasion and migration of salivary adenoid cystic carcinoma SACC-LM cells.Methods:miR-148a-3p mimics and inhibitors,siRNA targeting EG-FR and their corresponding controls were transfected into SACC-LM cells.Bioinformatics was used to predict the potential target genes of miR-148a-3p.EGFR and miR-148a-3p mRNA expression levels were examined by qRT-PCR and the protein levels of EG-FR were detected by Western blotting.CCK-8,scratch,and Transwell assays were used to study the proliferation,migration,and invasion of SACC-LM cells,respectively.The direct targeting relationship between miR-148a-3p and EGFR was examined by using the double luciferase reporter gene assay.Statistical analysis of the data was performed by SPSS 22.0 software.Results:Overexpres-sion or inhibition of miR-148a-3p significantly inhibited or promoted the proliferation,invasion and metastasis of SACC-LM cells re-spectively(P＜0.05).Bioinformatics and double luciferase assay showed that miR-148a-3p directly targeted and regulated the expres-sion of EGFR(P＜0.001).Downregulation of EGFR inhibited the proliferation,migration and invasion of SACC-LM cells(P＜0.05)and partially reversed the promoting effect of miR-148a-3p inhibition(P＜0.05).Conclusion:The downregulation of miR-148a-3p leads to the abnormally high expression of its target gene EGFR,and promotes the proliferation,invasion,and migration of salivary adenoid cystic carcinoma cells.

Dracaena marginata is a widely cultivated horticultural plant in the world, which has high ornamental and medicinal value. In this study, the whole genome of leaves from D. marginata was sequenced by Illumina HiSeq 4000 platform. The chloroplast genome were assembled for functional annotation, sequence characteristics and phylogenetic analysis. The results showed that the chloroplast genome of D. marginata composed of four regions with a size of 154 926 bp, which was the smallest chloroplast genome reported for Dracaena species to date. A total of 132 genes were identified, including 86 coding genes, 38 tRNA genes and 8 rRNA genes. Codon bias analysis found that the codon usage bias was weak and there was a bias for using A/U base endings. 46 simple sequence repeat and 54 repeats loci were detected in the chloroplast genome, with the maximum detection rate in the large single copy region and inverted repeat region, respectively. The inverted repeats boundaries of D. marginata and Dracaena were highly conserved, whereas gene location differences occurred. Phylogenetic analysis revealed that D. serrulata and D. cinnabari form a monophyletic clade, which was the closest relationship and conformed to the morphological classification characteristics. The analysis of the chloroplast genome of D. marginata provides important data basis for species identification, genetic diversity and chloroplast genome engineering of Dracaena.
Phylogeny ; Dracaena ; Genome, Chloroplast/genetics* ; Base Sequence ; Genes, Plant