ObjectiveThe rapid advancement of bioanalytical technologies has heightened the demand for high-throughput, label-free, and real-time cellular analysis. Electrochemical impedance spectroscopy (EIS) operating in the GHz frequency range (GHz-EIS) has emerged as a promising tool for characterizing cell suspensions due to its ability to rapidly and non-invasively capture the dielectric properties of cells and their microenvironment. Although GHz-EIS enables rapid and label-free detection of cell suspensions, significant challenges remain in interpreting GHz impedance data for complex samples, limiting the broader application of this technique in cellular research. To address these challenges, this study presents a novel method that integrates GHz-EIS with deep learning algorithms, aiming to improve the precision of cell suspension concentration identification and quantification. This method provides a more efficient and accurate solution for the analysis of GHz impedance data. MethodsThe proposed method comprises two key components: dielectric property dataset construction and backpropagation (BP) neural network modeling. Yeast cell suspensions at varying concentrations were prepared and separately introduced into a coaxial sensor for impedance measurement. The dielectric properties of these suspensions were extracted using a GHz-EIS dielectric property extraction method applied to the measured impedance data. A dielectric properties dataset incorporating concentration labels was subsequently established and divided into training and testing subsets. A BP neural network model employing specific activation functions (ReLU and Leaky ReLU) was then designed. The model was trained and tested using the constructed dataset, and optimal model parameters were obtained through this process. This BP neural network enables automated extraction and analytical processing of dielectric properties, facilitating precise recognition of cell suspension concentrations through data-driven training. ResultsThrough comparative analysis with conventional centrifugal methods, the recognized concentration values of cell suspensions showed high consistency, with relative errors consistently below 5%. Notably, high-concentration samples exhibited even smaller deviations, further validating the precision and reliability of the proposed methodology. To benchmark the recognition performance against different algorithms, two typical approaches—support vector machines (SVM) and K-nearest neighbor (KNN)—were selected for comparison. The proposed method demonstrated superior performance in quantifying cell concentrations. Specifically, the BP neural network achieved a mean absolute percentage error (MAPE) of 2.06% and an R² value of 0.997 across the entire concentration range, demonstrating both high predictive accuracy and excellent model fit. ConclusionThis study demonstrates that the proposed method enables accurate and rapid determination of unknown sample concentrations. By combining GHz-EIS with BP neural network algorithms, efficient identification of cell concentrations is achieved, laying the foundation for the development of a convenient online cell analysis platform and showing significant application prospects. Compared to typical recognition approaches, the proposed method exhibits superior capabilities in recognizing cell suspension concentrations. Furthermore, this methodology not only accelerates research in cell biology and precision medicine but also paves the way for future EIS biosensors capable of intelligent, adaptive analysis in dynamic biological research.

OBJECTIVE: To investigate the clinical effect of minimally invasive technique in the treatment of moderate and severe gluteal muscle contracture. METHODS: A retrospective study was conducted on 85 patients (170 sides) with bilateral gluteal muscle contracture admitted from January 2016 to December 2019. All patients were treated with minimally invasive release of tendon knife. There were 32 males and 53 females, ranging in age from 15 to 37 years old, with an average age of (22.3±6.3) years old. Operation time, intraoperative blood loss, incision length, first postoperative ambulation time, complication rate, recurrence rate, and Harris hip score (HHS) were analyzed and evaluated. RESULTS: The average follow-up time was (16.2±4.6) months, ranging from 12 to 30 months. The operation time ranged from 7 to 15 min, with an average of (10.2±3.1) min. Intraoperative blood loss ranged from 2 to 20 ml, with an average of (8.4±2.2) ml. The incision length ranged from 0.6 to 2.0 cm, with an average of (0.8±0.3) cm. The time to postoperative ambulation ranged from 12 to 28 h, with an average of (20.0±3.2) h. All patients achieved primary wound healing without sciatic nerve injury or recurrence. HHS hip function scores ranged from 90 to 98, with an average score of (96.2±1.4). Complications included intraoperative tendon blade tip fracture in two cases (removed under fluoroscopic guidance) and subcutaneous hematoma in three cases-two resolved with compression and one with open evacuation.. Twenty-nine patients exhibited transient swaying gait postoperatively, of which 24 patients returned to normal after 4 weeks and 5 patients returned to normal after 6 weeks. CONCLUSION Minimally invasive tendon blade release is a safe and effective technique for treating gluteal muscle contracture, offering minimal trauma, rapid recovery, and excellent cosmetic and functional outcomes. However, it exhibits a low risk of blade tip fracture and sciatic nerve injury, warranting experienced surgical handling.
Humans ; Male ; Female ; Adult ; Minimally Invasive Surgical Procedures/methods* ; Adolescent ; Retrospective Studies ; Buttocks/surgery* ; Young Adult ; Contracture/surgery* ; Tendons/surgery* ; Muscle, Skeletal/surgery*

OBJECTIVE: To explore the molecular mechanism of Shenmai Injection (SMI) against doxorubicin (DOX) induced cardiomyocyte apoptosis. METHODS: A total of 40 specific pathogen-free (SPF) male Sprague Dawley (SD) male rats were divided into 5 groups based on the random number table, including the control group, the model group, miR-30a agomir group, SMI low-dose (SMI-L) group, and SMI high-dose (SMI-H) group, with 8 rats in each group. Except for the control group, the rats were injected weekly with DOX (2 mg/kg) in the tail vein for 4 weeks to induce myocardial injury, and were given different regimens of continuous intervention for 2 weeks. Cardiac function was detected by echocardiography and myocardial pathological changes were observed by Van Gieson (VG) staining. Myocardial injury serum markers, including creatine kinase (CK), lactate dehydrogenase (LDH), troponin T (cTnT), N-terminal pro-brain natriuretic peptide (NT-proBNP), soluble ST2 (sST2), and growth differentiation factor-15 (GDF-15) were detected by enzyme linked immunosorbent assay (ELISA). Cardiomyocyte apoptosis was observed by terminal deoxynucleotidyl transferase-mediated biotinylated dUTP triphosphate nick end labeling (TUNEL) and transmission electron microscopy, and the expressions of target proteins and mRNA were detected by Western blot and quantitative real time polymerase chain reaction (qRT-RCR), respectively. RESULTS: The treatment with different doses of SMI reduced rat heart mass index and left ventricular mass index (P<0.05), significantly improved the left ventricular ejection fraction (P<0.05), decreased the levels of serum CK, LDH, cTnT, and NT-proBNP (P<0.05 or P<0.01), reduced the levels of serum sST2 and GDF-15 (P<0.05 or P<0.01), decreased the collagen volume fraction, reduced the expressions of rat myocardial type I and type III collagen (P<0.05 or P<0.01), and effectively alleviated myocardial fibrosis. And the study found that SMI promoted the expression levels of miR-30a and Bcl-2 in myocardium, and down-regulated the expression of Bax, which inhibited the activation of Caspase-3 and Caspase-9 (P<0.05 or P<0.01), and improved myocardial cell apoptosis. CONCLUSIONS SMI can alleviate myocardial injury and apoptosis caused by DOX, and its mechanism possibly by promoting the targeted expression of myocardial Bcl-2 protein through miR-30a.
Animals ; Myocytes, Cardiac/metabolism* ; Apoptosis/drug effects* ; MicroRNAs/genetics* ; Rats, Sprague-Dawley ; Male ; Drugs, Chinese Herbal/administration & dosage* ; Doxorubicin/pharmacology* ; Proto-Oncogene Proteins c-bcl-2/genetics* ; Drug Combinations ; Injections ; Rats

Objective To investigate the clinical effect of unilateral percutaneous vertebroplasty(PVP)combined with 3D printing technology for the treatment of thoracolumbar osteoporotic compression fracture.Methods A total of 77 patients with thoracolumbar osteoporotic compression fractures from October 2020 to April 2022 were included in the study,all of which were vertebral body compression fractures caused by trauma.According to different treatment methods,they were di-vided into experimental group and control group.Thirty-two patients used 3D printing technology to improve unilateral transpedicle puncture vertebroplasty in the experimental group,there were 5 males and 27 females,aged from 63 to 91 years old with an average of(77.59±8.75)years old.Forty-five patients were treated with traditional bilateral pedicle puncture vertebroplasty,including 7 males and 38 females,aged from 60 to 88 years old with an average of(74.89±7.37)years old.Operation time,intraoperative C-arm X-ray times,anesthetic dosage,bone cement injection amount,bone cement diffusion good and good rate,complications,vertebral height,kyphotic angle(Cobb angle),visual analogue scale(VAS),Oswestry disability index(ODI)and other indicators were recorded before and after surgery,and statistically analyzed.Results All patients were followed up for 6 to 23 months,with preoperative imaging studies,confirmed for thoracolumbar osteoporosis com-pression fractures,two groups of patients with postoperative complications,no special two groups of patients'age,gender,body mass index(BMI),time were injured,the injured vertebral distribution had no statistical difference(P＞0.05),comparable data.Two groups of patients with bone cement injection,bone cement dispersion rate,preoperative and postoperative vertebral body height,protruding after spine angle(Cobb angle),VAS,ODI had no statistical difference(P＞0.05).The operative time,intra-operative fluoroscopy times and anesthetic dosage were statistically different between the two groups(P＜0.05).Compared with the traditional bilateral puncture group,the modified unilateral puncture group combined with 3D printing technology had shorter operation time,fewer intraoperative fluoroscopy times and less anesthetic dosage.The height of anterior vertebral edge,kyphosis angle(Cobb angle),VAS score and ODI of the affected vertebrae were statistically different between two groups at each time point after surgery(P＜0.05).Conclusion In the treatment of thoracolumbar osteoporotic compression fractures,3D printing technology is used to improve unilateral puncture PVP,which is convenient and simple,less trauma,short operation time,fewer fluoroscopy times,satisfactory distribution of bone cement,vertebral height recovery and kyphotic Angle correction,and good functional improvement.

Objective To investigate the improvement effect of Jiegu Qili Capsules on the fracture healing of radius in rats by activating the bone morphogenetic protein(BMP)/Smad signaling pathway.Methods(1)A rat model of radius fracture was constructed,and the serum levels of alkaline phosphatase(ALP),calcium(Ca)and phosphorus were detected,and the pathological changes in the fracture gap was observed.(2)Human osteosarcoma SaOS-2 cells were used to measure ALP activity and mineralization level.The quantitative real-time polymerase chain reactionn(qRT-PCR)method was used to detect the cellular osteogenesis-related genes ALP,collagen I(COL-I),ornithine transcarbamylase(OTC),Osterix,osteoblastin(OPN),Runt-related transcription factor 2(RUNX2)and BMP2.The expression of key proteins in BMP/Smad signal pathway was detected by Western Blot.Results Jiegu Qili Capsules effectively promoted fracture healing of radius in rats,enhance ALP activity,increase Ca and P levels Jiegu Qili Capsules stimulate the formation of mineralized nodules in SaOS-2 cells in rats.,and promoted the expression levels of COL-I,OTC,Osterix,BMP2 and OPN in SaOS-2 cells in a dose-dependent manner.Jiegu Qili Capsules up-regulated the levels of Smad1/5 phosphorylation of the BMP/Smad signaling pathway in SaOS-2 cells,as well as the levels of BMP2 and RUNX2.Noggin,an inhibitor of the BMP/Smad signaling pathway,inhibited osteogenic differentiation of SaOS-2 cells induced by Jiegu Qili Capsules.Conclusion Jiegu Qili Capsules can promote fracture healing by activating the BMP/Smad signaling pathway to increase the expression of osteogenesis-related genes.

Objective To investigate the molecular mechanism of sulforaphane(Sul)promoting bone marrow stem cells(BMSCs)differentiating into osteoblasts.Methods BMSCs were divided into the control group(without any treatment),induction group(induction of osteogenic differentiation),and induction+Sul group(induction of osteogenic differentiation with the addition of 40 μmol/L of Sul).The adenovirus-shRNA-Mock,-shRNA-TET1,-shRNA-TET2,and-shRNA-TET3 were transfected into BMSCs as the shRNA-Mock group,shRNA-TET1 group,shRNA-TET2 group,and shRNA-TET3 group.BMSCs were cultured in cell culture medium containing osteogenic differentiation induction medium and 40 μmol/L of Sul,and then transfected with adenovirus-shRNA-TET1,-shRNA-TET2,-shRNA-TET3,and-shRNA-Mock as the induction+Sul+shRNA-TET1 group,induction+Sul+shRNA-TET2 group,induction+Sul+shRNA-TET3 group,and induction +Sul+shRNA-Mock group.The mRNA and protein expression levels of Runx2 after BMSCs differentiated into osteoblasts were determined by qPCR and Western blot.The DNA content of Runx2 promoter region bound to Histone H3 after BMSCs differentiated into osteoblasts was determined by chromatin immunocoprecipitation(ChIP).The methylation level of Runx2 promoter region of BMSCs differentiated into osteoblasts was determined by HpaⅡenzyme and MspⅠenzyme digestion combined with qPCR.The degree of BMSCs differentiated into osteoblasts was determined by alizarin red staining.Results Compared with the induction group,the mRNA and protein expression levels of Runx2 in the induction+Sul group were significantly increased(P<0.05);the content of DNA in the Runx2 promoter region bound to Histone H3 was increased(P<0.05),the methylation level of Runx2 promoter region was reduced(P<0.05),and the alizarin red staining score was elevated(P<0.05).Compared with the induction+Sul group,the content of DNA in the Runx2 promoter region bound to Histone H3 in the induction+Sul+shRNA-TET1 group was decreased(P<0.05),the methylation level of Runx2 promoter region was increased(P<0.05),and the alizarin red staining score was decreased(P<0.05).While there was no significant change among the induction+Sul+shRNA-TET2 group,induction+Sul+shRNA-TET3 group,induction+Sul+shRNA-Mock group(P>0.05).Conclusion Sul can promote the differentiation of BMSCs into osteoblasts through promoting DNA demethylation of Runx2 promoter region by TET1.

Plant natural products have a wide range of pharmacological properties, not only can they be used as plant dietary supplements to meet the nutritional needs of the human body in the accelerated pace of life, but also occupy an important position in the research and development of therapeutic drugs for the treatment of tumors, inflammation and other diseases, and have been widely accepted by the public due to their good safety. However, despite the above advantages of plant natural products, limiting factors such as low solubility, poor stability, lack of targeting, high toxicity and side effects, and unacceptable odor have greatly impeded their conversion to clinical applications. Therefore, the development of new avenues for the application of new natural products has become an urgent problem to be solved at present. In recent years, with the continuous development of research, various strategies have been developed to improve the bioavailability of natural products. Among them, nanocarrier delivery system is one of the most attractive strategies at present. In past studies, a large number of nanomaterials (organic, inorganic, etc.) have been developed to encapsulate plant-derived natural products for their efficient delivery to specific organs and cells. Up to now, nanotechnology has not only been limited to pharmaceutical applications, but is also competing in the fields of nanofood processing technology and nanoemulsions. Among the various nanocarriers, liposomes are the largest nanocarriers with the largest market share at present. Liposomes are bilayer nanovesicles synthesized from amphiphilic substances, which have advantages such as high drug loading capacity and stability. Attractively, the flexible surface of liposomes can be modified with various functional elements. Functionalized modification of liposomes with different functional elements such as antibodies, nucleic acids, peptides, and stimuli-responsive moieties can bring out the excellent drug delivery function of liposomes to a greater extent. For example, the modification of functional elements with targeting function such as nucleic acids and antibodies on the surface of liposomes can deliver natural products to the target location and improve the bioavailability of drugs; the modification of stimulus-responsive groups such as photosensitizers, magnetic nanoparticles, pH-responsive groups, and temperature sensitizers on the surface of liposomes can achieve controlled release of drugs, localized targeting, and synergistic thermotherapy. In addition to the above properties, by using functionalized liposomes to encapsulate natural products with irritating properties can also effectively mask the irritating properties of natural products, improve public acceptance, and increase the possibility of application of irritating natural products. There are various strategies for modifying liposomes with functional elements, and the properties of functionalized liposomes constructed by different construction strategies differ. The commonly used construction strategies for functionalized liposomes include covalent modification and non-covalent modification. These two types of construction strategies have their own advantages and disadvantages. Covalent modification has better stability than non-covalent modification, but its operation is cumbersome. With the above background, this review focuses on the three typical problems faced by plant natural products at present, and summarizes the specific applications of functionalized liposomes in them. In addition, this paper summarizes the construction strategies for building different types of functionalized liposomes. Finally, this paper will also review the opportunities and challenges faced by functionalized liposomes to enter clinical therapy, and explore the opportunities to overcome these problems, with a view to better realizing the precise control of plant nanomedicines, and providing ideas and inspirations for researchers in related fields as well as relevant industrial staff.

The compound (E)-1-(4-(3-(5-chloro-6-oxo-3,6-dihydropyridin-1(2H)-yl)-3-oxo-propyl-1-ene-1-yl) phenyl)-3-(4-fluorophenyl) urea (C12), a novel derivative of piperlongumine previously synthesized by our research group, was investigated in this study to examine its effects on human non-small cell lung cancer cell line H1299 in vitro and elucidate its potential mechanism of action. The impact of C12 on the proliferation, migration, and invasion abilities of H1299 cells were assessed using methyl thiazolyl tetrazolium (MTT) assay, wound healing assay, cloning formation assay, and Transwell assay. Flow cytometry was employed to evaluate the influence of C12 on cell cycle progression, reactive oxygen species (ROS) production, mitochondrial membrane potential (MMP), and apoptosis induction in H1299 cells. Western blot analysis was conducted to investigate the expression levels of p21, Cyclin B1, CDK1, Bax, Bcl-2, JNK, p-JNK, Erk1/2, p-Erk1/2, p38 and p-p38 proteins for exploring the anti-tumor mechanism underlying C12's actions. The results demonstrated that C12 exerted inhibitory effects on the proliferation, migration, and invasion capacities of H1299 cells in a time-dependent and concentration-dependent manner. Moreover, C12 induced G2/M phase arrest in the cell cycle, reduced MMP levels, elevated ROS production, and triggered apoptotic processes. Flow cytometry analysis revealed that C12 downregulated Cyclin B1 and CDK1 protein expressions, resulting in G2/M phase arrest. C12 also upregulated Bax/Bcl-2 ratio, promoting apoptosis. Furthermore, C12 activated MAPK signaling pathway by enhancing phosphorylation levels of JNK, Erk1/2, and p38 proteins. In conclusion, C12 significantly suppressed proliferation, migration, and invasion capabilities while inducing cell cycle arrest and apoptosis in H1299 cells. These effects may be attributed to activation of the MAPK signaling pathway.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.