Plant-derived extracellular vesicles (PDEVs) are nanoscale extracellular vesicles secreted by plant cells, characterized by a lipid bilayer structure. These vesicles carry a variety of bioactive molecules, including proteins, nucleic acids, and lipids, and play essential roles in intercellular communication and physiological regulation in plants. Compared to animal-derived extracellular vesicles, PDEVs offer several advantages, such as a broad range of sources, high biocompatibility, low immunogenicity, and low production costs. Furthermore, PDEVs have demonstrated remarkable potential as natural nanocarriers for drug delivery, due to their ability to efficiently traverse biological barriers, such as the blood-brain barrier, making them promising candidates for drug delivery systems. This review systematically elaborates on the complex composition of PDEVs, which consists of lipids, proteins, and nucleic acids, the typical structural characteristics of their lipid bilayers ranging from 30 to 150 nm, and their versatile loading capabilities as drug carriers, efficiently encapsulating various types of therapeutic agents such as hydrophilic small molecules, hydrophobic drugs, nucleic acids, and proteins. We systematically summarize the recent advancements in strategies for enhancing the loading efficiency of PDEVs, which include methods such as co-incubation, ultrasound-assisted loading, electroporation, freeze-thaw cycles, and microfluidic technology. These techniques are evaluated based on their underlying principles, suitable drug types, and their respective advantages. In addition to loading strategies, we focus on the engineered approaches to achieve targeted delivery using PDEVs, such as genetic engineering modifications, chemical ligand conjugation, membrane fusion technology, and polyethylene glycol (PEG) modification. We discuss the mechanisms of these strategies in enhancing targeting efficiency, prolonging in vivo circulation time, and improving therapeutic efficacy. Further, this review highlights the application of PDEVs in various disease models, including tumor, skin inflammation, metabolic disorders, and neurodegenerative diseases, showcasing their therapeutic potential as multifunctional delivery platforms. The ability of PDEVs to encapsulate diverse therapeutic agents and target specific tissues or cells opens up new avenues for the treatment of complex diseases, offering advantages over conventional drug delivery systems. However, despite the promising applications of PDEVs, several challenges remain in their development and clinical translation. These challenges include variability in source materials, standardization of preparation processes, quality control, scalability of production, and the need for clinical validation. To overcome these obstacles, the integration of advanced technologies such as artificial intelligence-assisted design and multi-omics analysis is proposed as a way to facilitate the precise development of PDEVs. These emerging technologies hold the potential to further enhance the precision and effectiveness of plant-based drug delivery systems, ultimately advancing the field of precision medicine. In conclusion, the use of PDEVs as a platform for drug delivery represents a promising area of research with the potential to revolutionize therapeutic strategies. Their ability to encapsulate and deliver a wide variety of bioactive molecules, along with their inherent advantages in biocompatibility and versatility, makes them a valuable tool in the development of more efficient and targeted therapeutic interventions. Continued research and innovation in this field will pave the way for the clinical implementation of PDEVs in the treatment of various diseases, offering new hope for more effective and sustainable therapeutic options.

OBJECTIVE: To explore the incidence, clinical features, genetic variant characteristics and prognosis of Glutaric acidemia type I (GA1) among neonates from Henan Province. METHODS: A total of 814 625 neonates undergoing screening for inherited metabolic diseases by tandem mass spectrometry (MS/MS) at the Third Affiliated Hospital of Zhengzhou University from January 2016 to December 2022 were selected as the study subjects. A retrospective method was adopted to collect the clinical data of the patients. Whole exome sequencing was carried out to detect GCDH gene variants in individuals with positive results by GA1 newborn screening, and Sanger sequencing was used to verify the candidate variants. Based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), the pathogenicity of candidate variants was rated. This study was approved by the Medical Ethics Committee of the Hospital (Ethics Number: 2019 Medical Ethics Review No. 67). RESULTS: Eight cases of GA1 were diagnosed among the 814 625 neonates. Blood glutaryl carnitine (C5DC) and urine glutaric acid (GA) levels of the 8 children were higher than the normal reference values. In total 12 variants were detected, all of which were missense variants. c.1064G>A (p.Arg355His) was the most common one, accounting for 21.4% (3/14). Three GCDH gene variants, including 1297G>C (p.Ala433Pro), c.467G>A (p.Gly156Asp) and c.1125T>G (p.Cys375Trp), were previously unreported. REVEL software analysis predicted that all of the three variants were harmful. 3D protein structure modeling indicated that the three variants may cause amino acid residue alterations, and c.1297G>C (p.Ala433Pro) and c.1125T>G (p.Cys375Trp) may result in increase in hydrogen bonds and affect the function of GCDH protein. By December 2023, one of the eight children had deceased, and another child had severe clinical symptoms with poor prognosis. Six children had a good prognosis, of which two had mild motor development delay and four had normal development without clinical symptoms. CONCLUSION The incidence of GA1 in newborns screened by MS/MS in Henan Province is 1/101 828, and the carrier rate of pathogenic GCDH variants is 1/160. The c.1064G>A (p.Arg355His) may be the hotspot variant of the GCDH gene among children with GA1 in Henan. Discovery of the three novel variants has enriched the mutational spectrum of the GCDH gene and provide a basis for the early diagnosis, treatment, prognosis and genetic counseling of this disease.
Humans ; Amino Acid Metabolism, Inborn Errors/epidemiology* ; Glutaryl-CoA Dehydrogenase/chemistry* ; Infant, Newborn ; Female ; Neonatal Screening/methods* ; Male ; Brain Diseases, Metabolic/epidemiology* ; China/epidemiology* ; Retrospective Studies ; Mutation ; Genetic Variation ; Glutarates

[Objective]To explore the epidemiology and clinical characteristics of kala-azar patients in Kashgar region,so as to improve the diagnosis and treatment.[Methods]A retrospective analysis was conducted on the clinical data of 71 kala-azar patients admitted to the First People's Hospital of Kashgar Region between January 2013 and December 2023.[Results]Among the 71 patients,the majority were aged 0-5 years(52.11%,37/71),with a male-to-female ratio of 0.92:1.Most cases occurred in winter and spring.Common clinical manifestations included fever,fatigue,decreased appetite,splenomegaly and hepatomegaly.Laboratory investigations mainly found pancytopenia,reversed albumin-to-globulin ratio,elevated transaminases,and increased C-reactive protein and procalcitonin.The positive rates of anti-rK39 antibody detection and bone marrow microscopy were 100%(23/23)and 91.38%(53/58),respectively.Metagenomics next-generation sequencing(mNGS)of liver tissue identified Leishmania donovani in one case.The common complications were infectious toxic hepatitis 49.30%(35/71),myocarditis 29.56%(21/71),and bronchopneumonia 23.94%(17/71).[Conclusions]Potential kala-azar should be taken into consideration for patients from the endemic areas with long-term irregular fever accompanied by splenomegaly,hemocytopenia,and reversed albumin-to-globulin ratio.Bone marrow smear microscopy and anti-rK39 antibody detection are recommended for the diagnosis,and mNGS provides a novel diagnostic solution.

Objective:To explore the incidence, clinical features, genetic variant characteristics and prognosis of Glutaric acidemia type I (GA1) among neonates from Henan Province.Methods:A total of 814 625 neonates undergoing screening for inherited metabolic diseases by tandem mass spectrometry (MS/MS) at the Third Affiliated Hospital of Zhengzhou University from January 2016 to December 2022 were selected as the study subjects. A retrospective method was adopted to collect the clinical data of the patients. Whole exome sequencing was carried out to detect GCDH gene variants in individuals with positive results by GA1 newborn screening, and Sanger sequencing was used to verify the candidate variants. Based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), the pathogenicity of candidate variants was rated. This study was approved by the Medical Ethics Committee of the Hospital (Approval Number: 2019 Medical Ethics Review No. 67). Results:Eight cases of GA1 were diagnosed among the 814 625 neonates. Blood glutaryl carnitine (C5DC) and urine glutaric acid (GA) levels of the 8 children were higher than the normal reference values. In total 12 variants were detected, all of which were missense variants. c. 1064G>A (p.Arg355His) was the most common one, accounting for 21.4% (3/14). Three GCDH gene variants, including 1297G>C (p.Ala433Pro), c. 467G>A (p.Gly156Asp) and c. 1125T>G (p.Cys375Trp), were previously unreported. REVEL software analysis predicted that all of the three variants were harmful. 3D protein structure modeling indicated that the three variants may cause amino acid residue alterations, and c. 1297G>C (p.Ala433Pro) and c. 1125T>G (p.Cys375Trp) may result in increase in hydrogen bonds and may affect the function of GCDH protein. By December 2023, one of the eight children had deceased, and another child had severe clinical symptoms with poor prognosis. Six children had a good prognosis, of which two had mild motor development delay and four had normal development without clinical symptoms. Conclusion:The incidence of GA1 in newborns screened by MS/MS in Henan Province is 1/101 828, and the carrier rate of pathogenic GCDH variants is 1/160. The c. 1064G>A (p.Arg355His) may be the hotspot variant of the GCDH gene among children with GA1 in Henan. Discovery of the three novel variants has enriched the mutational spectrum of the GCDH gene and provide a basis for the early diagnosis, treatment, prognosis and genetic counseling of this disease.

Objectives:To explore the independent and combined effects of sleep duration and physical activity(PA)on the incidence of cardiovascular disease(CVD).Methods:The study subjects were derived from three sub-cohorts of the China-PAR project.Information on sleep and PA was collected from the surveys conducted in 2007-2008,and the incidence and mortality data of CVD were obtained during the follow-up survey from 2012 to 2015.Sleep duration was categorized into≤6 h/d,>6-8 h/d,and>8 h/d,and the PA level was classified according to the tertiles of PA volume(MET-h/d).The Cox proportional hazards model stratified by cohort source was applied to estimate the associations of PA and sleep duration with CVD incidence,coronary heart disease(CHD)incidence,and stroke incidence.Results:A total of 93 933 participants were included.During an average follow-up of(5.82±0.98)years,3 862 CVD events were documented.Compared with the low PA group,the hazard ratios(HRs)and 95%confidence intervals(CIs)of the CVD incidence,CHD incidence,and stroke incidence for the high PA group were 0.73(0.65-0.82),0.62(0.49-0.77)and 0.88(0.76-1.01),respectively.A U-shaped relation between sleep duration and incidence of CVD and stroke was observed.Compared with those who slept for>6-8 h/d,the risk of CVD(HR[95%CI]:1.10[1.00-1.21],P=0.04)and stroke(HR[95%CI]:1.33[1.18-1.49],P<0.01)was higher among participants slept>8 h/d.The risk of CVD,CHD and stroke tended to be higher in the≤6 h/d sleep group.Compared with the high PA combined with>6-8 h/d,the risk of stroke was highest in the high PA combined with>8h/d sleep group(HR[95%CI]:1.74[1.37-2.22],P<0.05),while the risks of CVD(HR[95%CI]:1.69[1.39-2.04],P<0.05)and CHD(HR[95%CI]:1.99[1.41-2.81],P<0.05)were highest in the low PA combined with≤6 h/d sleep group.Conclusions:Adequate physical activity and appropriate sleep duration are associated with lower risk of morbidity from CVD,CHD and stroke.

Objective To explore the applicative value of spectral CT in increasing positive rates of lung cancer puncture and reducing complications during CT guided percutaneous transthoracic needle biopsy(PTNB).Methods The pathological results and complica-tion incidences of 260 PTNB patients were analyzed retrospectively.All patients were divided into three groups:group A(conventional CT group,103 cases)used a scheme based on conventional enhanced CT;group B(PET/CT group,84 cases)used a scheme combining the maximum standardized uptake value(SUVmax)with conventional enhanced CT;group C(spectral CT group,73 cases)used a scheme of quantitative spectral CT parameters and images.Results Group A included 103 cases in total,of which 87 were positive(84.47％),41 pneumothorax(39.81％),and 31 hemorrhage(30.10％).Group B totaled 84 cases,including 82 positive cases(97.62％),19 cases of pneumothorax(22.62％),and 11 cases of hemorrhage(13.10％).Group C was of 73 cases,including 70 positive cases(95.89％),16 cases of pneumothorax(21.92％),and 10 cases of hemorrhage(13.70％).There were statistically significant differ-ences in biopsy positive rates,pneumothorax incidences,and hemorrhage incidences among groups A,B,and C(P＜0.05).There were also statistically significant differences in biopsy positive rates,pneumothorax incidences,and hemorrhage incidences between groups A and B or groups A and C(P＜0.016 7),respectively.However,no statistically significant differences were found between groups B and C in biopsy positive rates,pneumothorax incidences,and hemorrhage incidences(P＞0.016 7).Conclusion Spectral CT can improve the positive rate of lung cancer and reduce the risk of pneumothorax and hemorrhage with PTNB.

Objective:To investigate the relationship between lipid levels and cognitive impairment in the elderly Chinese population using prospective cohort data.Methods:Based on the China-PAR (Prediction for Atherosclerotic Cardiovascular Disease Risk in China) cohort, this study included 24 380 individuals aged ≥60 years who participated in the cognitive function follow-up survey from 2018 to 2019. Cognitive function was assessed using the Mini-Mental State Examination (MMSE), with cognitive impairment defined according to different educational levels: MMSE ≤17 for illiterate individuals, MMSE ≤20 for those with primary education and MMSE ≤24 for those with secondary education or above. Multivariable linear regression and logistic regression models were employed to examine the associations between six baseline lipid indicators and cognitive scores, as well as cognitive impairment. Additionally, restricted cubic splines were used to explore the exposure-dose relationship between lipid levels and cognitive function.Results:The study population had a median follow-up time of 11.6 years, with a baseline age of (59.7±6.8) years. Among the participants, 9 510 (39.0%) were males, and the mean MMSE score was 24.7±6.8. A total of 3 887 individuals (15.9%) were identified as cognitively impaired. The results of multivariable linear regression and logistic regression indicated that total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C) and non-high-density lipoprotein cholesterol (non-HDL-C) levels were not only significantly positively associated with cognitive scores but also significantly associated with a lower risk of cognitive impairment. Each 1 mmol/L increase in these lipid levels corresponded to β values (95% CI) of 0.267 (0.173-0.361), 0.385(0.271-0.499) and 0.331(0.231-0.431), respectively. Each 1 mmol/L increase in these lipid levels corresponded to odds ratio ( OR) (95% CI) values of 0.915 (0.876-0.956), 0.875 (0.830-0.923) and 0.886 (0.848-0.927), respectively. The dose-response curve demonstrated that the negative association was primarily observed within the guideline-recommended optimal lipid level range. Specifically, when LDL-C was less than 3.4 mmol/L and non-HDL-C was less than 4.1 mmol/L, the corresponding OR (95% CI) values were 0.859 (0.796-0.926) and 0.876 (0.818-0.939). Conclusion:Lipid levels exhibit a certain linear negative association with cognitive impairment in elderly Chinese adults, with LDL-C and non-HDL-C demonstrating a stronger effect, particularly within the guideline-recommended optimal range.

Objective:To investigate the association of the interaction and combined effect of renal function and body mass index (BMI) with the risk for all-cause death in patients with type 2 diabetes mellitus (T2DM) in communities of Jiangsu Province.Methods:The study subjects were from the Comprehensive Research Project of Diabetes Prevention and Control conducted in Jiangsu from December 2013 to January 2014, and follow up was conducted for them until September 30, 2023. A total of 20 025 subjects were included in the study. Cox proportional hazards regression model was used to analyze the association of renal function with risk for death in T2DM patients, and the association of interaction between renal function and BMI and their combined effect with all-cause death risk in T2DM patients.Results:In the follow up for 198 370 person-years, a total of 4 459 deaths were recorded. Cox proportional hazards regression model analysis showed that renal dysfunction was associated with 71% risk of all-cause mortality in all T2DM patients [hazard ratio ( HR) =1.71, 95% CI: 1.59-1.84], as well as in all BMI subgroups. Likelihood ratio test indicated an interaction between renal function and BMI (interaction for P=0.030). Compared with patients with normal renal function and normal BMI, those with normal renal function and over weight or obesity had a lower risk of all-cause mortality, and those with renal dysfunction and low weight had the highest risk for death ( HR=2.78, 95% CI: 1.87-4.14). Conclusions:There is association of interaction between renal function and BMI with all-cause mortality in T2DM patients. T2DM patients with renal dysfunction and low body weight had significant higher risk for death.

Objective To characterize the features of patent foramen ovale(PFO)-related cryptogenic stroke using diffusion-weighted imaging(DWI)and to investigate the correlation between infarct size and cardiac CT characteristics of PFO.Methods A retrospective,consecutive cohort study was conducted on acute ischemic stroke patients admitted to Neurology Department of Xuanwu Hospital,Capital Medical University from January 2022 to September 2024.Patients were categorized into PFO group,arterio-arterial embolism(AAE)group,and atrial fibrillation(AF)group based on etiological diagnosis.Baseline clinical data,including age,height,body mass index,admission National Institutes of Health stroke scale(NIHSS)score,history of old cerebral infarction,hypertension,diabetes mellitus,coronary heart disease,dyslipidemia,and smoking history were collected and compared.All patients underwent head MR within 24 h of admission.DWI was used to analyze and compare infarct characteristics across the three groups,including lesion number(single or multiple),location(cortical+subcortical,deep white matter,cortical+subcortical+deep white matter,cerebellum+thalamus+brainstem),size(≥15 mm or＜15 mm,based on maximum transverse diameter;for multiple lesions,if any lesion had a maximum diameter≥15 mm,it was categorized as≥15 mm),infarcted vascular territory(anterior,posterior,or both circulations),and specific arterial supply(anterior cerebral artery,middle cerebral artery,posterior cerebral artery,basilar artery,posterior inferior cerebellar artery,superior cerebellar artery,anterior choroidal artery,or multiple arteries).Patients in the PFO group additionally underwent cardiac CT to measure PFO-related parameters:tunnel length,width,height,septum secundum thickness,and fossa ovalis length.Spearman correlation analysis was performed to evaluate the relationship between infarct size and PFO cardiac CT features.Results A total of 232 acute ischemic stroke patients were included(mean age[57±17]years,ranged 19-86 years;141 males,91 females),comprising 116 in the PFO group,36 in the AAE group,and 80 in the AF group.(1)The proportion of males in the PFO group was higher than that in the AF group,it was lower than that in the AAE group.The age,body mass index and proportions of patients with hypertension,diabetes,hyperlipidemia,coronary heart disease were all lower than those in the other two groups(both P＜0.016 7),while other baseline characteristics showed no significant differences(all P＞0.05).(2)The PFO group exhibited a higher proportion of multiple infarcts compared to the AAE group(83.62％[97/116]vs.61.11％[22/36],P＜0.016 7),but a lower proportion than the AF group(83.62％[97/116]vs.98.75％[79/80],P＜0.016 7).The PFO group also showed a significantly higher proportion of cortical+subcortical infarcts(47.41％[55/116]vs.11.11％[4/36]and 6.25％[5/80],respectively,both P＜0.016 7)and infarcts with a maximum diameter＜15 mm compared to both AAE and AF groups(66.38％[77/116]vs.36.11％[13/36]and 11.25％[9/80],respectively,both P＜0.016 7).Furthermore,the PFO group had a lower proportion of anterior circulation infarcts(27.59％[32/116]vs.69.44％[25/36]in AAE group and 67.50％[54/80]in AF group,both P＜0.016 7),but a higher proportion of posterior circulation infarcts(62.07％[72/116]vs.16.67％[6/36]in AAE group and 8.75％[7/80]in AF group,both P＜0.016 7).Specifically,middle cerebral artery infarcts were less common in the PFO group(18.97％[22/116]vs.66.67％[24/36]in AAE group and 52.50％[42/80]in AF group,both P＜0.016 7),while posterior cerebral artery infarcts were more common(48.28％[56/116]vs.8.33％[3/36]in AAE group and 8.75％[7/80]in AF group,both P＜0.016 7).(3)Spearman correlation analysis revealed that infarct size was negatively correlated with PFO tunnel length(rs=-0.429,P=0.029),fossa ovalis length(rs=-0.408,P=0.038),and septum secundum thickness(rs=-0.525,P=0.006),but not correlated with PFO width or height(both P＞0.05).Conclusions PFO-related cryptogenic stroke is predominantly characterized by multiple small infarcts,primarily located in the cortical+subcortical regions and posterior circulation.Infarct size was found to be negatively correlated with PFO tunnel length,fossa ovalis length,and septum secundum thickness.Comprehensive assessment integrating DWI and cardiac CT features may facilitate the identification of PFO-related stroke.These findings warrant further validation through larger,prospective studies.

OBJECTIVE: To propose a machine learning-based method for predicting the trajectories during manual acupuncture manipulation (MAM), aiming to improve the precision and consistency of acupuncture practitioner' operation and provide the real-time suggestions on MAM error correction. METHODS: Computer vision technology was used to analyze the hand micromotion when holding needle during acupuncture, and provide a three-dimensional coordinate description method of the index finger joints of the holding hand. Focusing on the 4 typical motions of MAM, a machine learning-based MAM trajectory predictive model was designed. By integrating the changes of phalangeal joint angle and hand skeletal information of acupuncture practitioner, the motion trajectory of the index finger joint was predicted accurately. Besides, the roles of machine learning-based MAM trajectory predictive model in the skill transmission of acupuncture manipulation were verified by stratified randomized controlled trial. RESULTS: The performance of MAM trajectory predictive model, based on the long short-term memory network (LSTM), obtained the highest stability and precision, up to 98%. The learning effect was improved when the model applied to the skill transmission of acupuncture manipulation. CONCLUSION The machine learning-based MAM predictive model provides acupuncture practitioner with precise action prediction and feedback. It is valuable and significant for the inheritance and error correction of manual operation of acupuncture.
Humans ; Acupuncture Therapy/instrumentation* ; Machine Learning ; Adult ; Male ; Female