Aim To study the resistance of SIRT3 ex-pression in dopaminergic neurons against the inflamma-tory damage caused by microglia activation and its re-lated mechanism.Methods Dopaminergic neurons(MN9D cells)and microglia(BV-2 cells)were co-cultured to establish an inflammatory injury model in vitro.MN9D cells were divided into the control group,model group,SIRT3 group and SIRT3+PJ34 group.mRNA levels were analyzed by real-time quantitative polymerase chain reaction,cell apoptosis rate was de-tected by flow cytometry,changes in mitochondrial membrane potential were tested by JC-1 method,and the opening of mitochondrial permeability transport pore(mPTP)was analyzed by co-incubation of calce-in-AM and CoCl2.The protein expression was detected by Western blot.Results Compared to the model group,overexpression of SIRT3 in the SIRT3 group significantly reduced the apoptosis rate of MN9D cells.It also led to a significant increase in the expression of SIRT3 and SOD2 genes,as well as a notable decrease in PARP-1,tumor necrosis factor-α,and interleukin 1β(IL-1β)protein expressions.Moreover,it resulted in a substantial reduction in the p-NF-κB p65/NF-κB p65 ratio.There was an improvement observed in mito-chondrial membrane potential along with decreased mPTP opening and ROS production in the SIRT3 group.These differences among these groups were sta-tistically significant(all P＜0.05).After inhibiting PARP-1 activity of MN9D cells in the SIRT3+PJ34 group,except for the insignificant changes in SIRT3 and IL-1 β protein expression,the changing trend of other indicators was further enhanced on the basis of SIRT3 group.The differences between two groups re-mained statistically significant(all P＜0.05).Con-clusions SIRT3 expression can attenuate the inflam-matory damage of dopaminergic neurons induced by microglia activation,and the mechanism may be relat-ed to improving mitochondrial function,inhibiting PARP-1 activity and NF-κB signaling pathway caused by the reduction of ROS production.

Rheumatoid arthritis(RA) is a widely prevalent autoimmune inflammatory disease that severely affects patients' quality of life. Currently, conventional formulations against RA have several limitations, such as nonspecificity, poor efficacy, large drug dosages, frequent administration, and systemic side effects. Nanotechnology-based drug delivery systems have emerged as a promising stra-tegy for the diagnosis and treatment of RA since nanotechnology can overcome the limitations of traditional treatments and simplify the complexity of the disease. These systems enable targeted delivery of anti-inflammatory drugs to the inflamed areas through active and passive targeting, achieving specificity to the joints, overcoming the need for increased dosage and administration frequency, and reducing associated adverse reactions. This article aimed to review nanocarrier-based drug delivery systems in the field of RA and elucidate how nanosystems can be utilized to deliver therapeutic drugs to inflamed joints for controlling RA progression. By discussing the current issues and challenges faced by nanodrug delivery systems and highlighting the urgent need for solutions, this article offers theoretical support for further research on nanotechnology-based co-delivery systems in the future.
Humans ; Quality of Life ; Drug Delivery Systems ; Arthritis, Rheumatoid/drug therapy* ; Autoimmune Diseases/drug therapy* ; Nanotechnology

OBJECTIVE: Campylobacter jejuni NCTC11168 is commonly used as a standard strain for flagellar biosynthesis research. In this report, two distinguished phenotypic isolates (CJ1Z, flhA mutant strain, lawn; CJ2S, flhA complemented strain, normal colony) appeared during laboratory passages for NCTC11168. METHODS: Phenotypic assessments, including motility plates, transmission electron microscopy, biofilm formation assay, autoagglutination assay, and genome re-sequencing for these two isolates (CJ1Z, flhA mutant strain; CJ2S, flhA complemented strain) were carried out in this study. RESULTS: Transmission electron microscopy revealed that the flagellum was lost in CJ1Z. Phenotypic assessments and genome sequencing of the two isolates were performed in this study. The capacity for biofilm formation, colony auto-agglutination, and isolate motility was reduced in the mutant CJ1Z. Comparative genomic analysis indicated a unique native nucleotide insertion in flhA (nt, 2154) that caused the I719Y and I720Y mutations and early truncation in flhA. CONCLUSION FlhA has been found to influence the expression of flagella in C. jejuni. To the best of our knowledge, this is the first study to describe the function of the C-terminal of this protein.
Campylobacter jejuni/genetics* ; Bacterial Proteins/metabolism* ; Mutation ; Biological Variation, Population

Rheumatoid arthritis(RA) is a chronic degenerative joint disease characterized by inflammation. Due to the complex causes, no specific therapy is available. Non-steroidal anti-inflammatory agents and corticosteroids are often used(long-term, oral/injection) to interfere with related pathways for reducing inflammatory response and delaying the progression of RA, which, however, induce many side effects. Microneedle, an emerging transdermal drug delivery system, is painless and less invasive and improves drug permeability. Thus, it is widely used in the treatment of RA and is expected to be a new strategy in clinical treatment. This paper summarized the application of microneedles in the treatment of RA, providing a reference for the development of new microneedles and the expansion of its clinical application.
Humans ; Drug Delivery Systems ; Administration, Cutaneous ; Pharmaceutical Preparations ; Anti-Inflammatory Agents, Non-Steroidal/therapeutic use* ; Arthritis, Rheumatoid/drug therapy* ; Needles

This study used machine learning techniques combined with routine blood cell analysis parameters to build preliminary prediction models, helping differentiate patients with depression from healthy controls, or patients with anxiety. A multicenter study was performed by collecting blood cell analysis data of Beijing Chaoyang Hospital and the First Hospital of Hebei Medical University from 2020 to 2021. Machine learning techniques, including support vector machine, decision tree, naïve Bayes, random forest and multi-layer perceptron were explored to establish a prediction model of depression. The results showed that based on the blood cell analysis results of healthy controls and depression group, the accuracy of prediction model reached as high as 0.99, F1 was 0.975. Receiver operating characteristic curve area and average accuracy were 0.985 and 0.967, respectively. Platelet parameters contributed mostly to depression prediction model. While, to random forest differential diagnosis model based on the data from depression and anxiety groups, prediction accuracy reached 0.68 and AUC 0.622. Age, platelet parameters, and average volume of red blood cells contributed the most to the model. In conclusion, the study researched on the prediction model of depression by exploring blood cell analysis parameters, revealing that machine learning models were more objective in the evaluation of mental illness.
Humans ; Depression ; Bayes Theorem ; Machine Learning ; Support Vector Machine ; Blood Cell Count

This study used machine learning techniques combined with routine blood cell analysis parameters to build preliminary prediction models, helping differentiate patients with depression from healthy controls, or patients with anxiety. A multicenter study was performed by collecting blood cell analysis data of Beijing Chaoyang Hospital and the First Hospital of Hebei Medical University from 2020 to 2021. Machine learning techniques, including support vector machine, decision tree, naïve Bayes, random forest and multi-layer perceptron were explored to establish a prediction model of depression. The results showed that based on the blood cell analysis results of healthy controls and depression group, the accuracy of prediction model reached as high as 0.99, F1 was 0.975. Receiver operating characteristic curve area and average accuracy were 0.985 and 0.967, respectively. Platelet parameters contributed mostly to depression prediction model. While, to random forest differential diagnosis model based on the data from depression and anxiety groups, prediction accuracy reached 0.68 and AUC 0.622. Age, platelet parameters, and average volume of red blood cells contributed the most to the model. In conclusion, the study researched on the prediction model of depression by exploring blood cell analysis parameters, revealing that machine learning models were more objective in the evaluation of mental illness.
Humans ; Depression ; Bayes Theorem ; Machine Learning ; Support Vector Machine ; Blood Cell Count

The present study explored the main active ingredients and the underlying mechanism of Linderae Radix the treatment of gastric cancer by network pharmacology, molecular docking, and in vitro cell experiments. TCMSP, OMIM and GeneCards database were used to obtain the active ingredients of Linderae Radix to predict the related targets of both Linderae Radix and gastric cancer. After screening the common potential action targets, the STRING database was used to construct the PPI network for protein interaction of the two common targets. Enrichment analysis of GO and KEGG by DAVID database. Based on STRING and DAVID platform data, Cytoscape software was used to construct an "active ingredient-target" network and an "active ingredient-target-pathway" network. Molecular docking was performed using the AutoDock Vina to predict the binding of the active components to the key action targets, and finally the key targets and pathways were verified in vitro. According to the prediction results, there were 9 active components, 179 related targets of Radix Linderae, 107 common targets of Linderae Radix and gastric cancer, 693 biological processes, 57 cell compositions, and 129 molecular functions involved in the targets, and 161 signaling pathways involved in tumor antigen p53, hypoxia-indu-cible factor 1, etc. Molecular docking results showed that the core component, jimadone, had high binding activity with TP53. Finally, in an in vitro experiment, the screened radix linderae active ingredient gemmadone is used for preliminarily verifying the core targets and pathways of the human gastric cancer cell SGC-7901, The results showed that germacrone could significantly inhibit the proliferation of gastric cancer cells and induce the apoptosis of SGC-7901 by regulating the expression of p53, Bax, Bcl-2 and other key proteins. In summary, Radix Linderae can control the occurrence and development of gastric cancer through multi-components, multi-targets and multi-pathways, which will provide theoretical basis for further clinical discussion on the mechanism of Radix Linderae in treating gastric cancer.
Antigens, Neoplasm ; Drugs, Chinese Herbal/therapeutic use* ; Humans ; Lindera/chemistry* ; Medicine, Chinese Traditional ; Molecular Docking Simulation ; Network Pharmacology ; Stomach Neoplasms/drug therapy* ; Tumor Suppressor Protein p53 ; bcl-2-Associated X Protein

OBJECTIVE: To evaluate the clinical characteristics, treatment and prognosis of systemic anaplastic large cell lymphoma(sALCL). METHODS: The clinical data of 90 cases with sALCL treated in the Department of Hematology of the Affiliated Xijing Hospital of Air Force Medical University from November 2018 to October 2021 were retrospectively analyzed. The clinical features, treatment and prognosis were summarized and the prognostic factors were investigated. RESULTS: There were 58 males and 32 females, with a median age of 32 (12-73) years old. 69 (76.7%) patients had Ann Arbor stage Ⅲ-Ⅳ disease and half of the patients had extranodal infiltration. The median age was 27(12-72) years of the 60 ALK⁺ patients while 53(15-73) years of the 30 ALK^- patients, and it was significantly different in the age of onset between the two group(P<0.01). 88 patients received first line chemotherapy, and 50(568%) cases achieved complete remission(CR). IPI score≥3 was an independent risk factor for CR. The median progressive free survival(PFS) and overall survival(OS) of the patients were not reached. Multivariate analysis showed that no achievement of CR after first-line therapy was a significant prognostic factor influencing PFS and OS. CONCLUSION sALCL mainly occurs in males and most patients were in advanced stage. Half of the patients had extranodal involvement. The CR rate after first-line chemotherapy was 568%, and IPI score≥3 was a significant prognostic factor for CR. No achievement of CR after first-line therapy is poorly prognostic for PFS and OS.
Adolescent ; Adult ; Aged ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Child ; Disease-Free Survival ; Female ; Humans ; Lymphoma, Large-Cell, Anaplastic/diagnosis* ; Male ; Middle Aged ; Prognosis ; Receptor Protein-Tyrosine Kinases ; Retrospective Studies ; Young Adult

OBJECTIVE: To investigate the capabilities of classification models based on hierarchical fusion framework of multi-classifier using a random projection strategy for differentiation of renal cell carcinoma (RCC) from small renal angiomyolipoma (< 4 cm) without visible fat (AMLwvf). METHODS: We retrospectively collected the clinical data from 163 patients with pathologically proven small renal mass, including 118 with RCC and 45 with AMLwvf.Target region of interest (ROI) delineation was performed on an unenhanced phase (UP) CT image slice displaying the largest lesion area.The radiomics features were used to establish a hierarchical fusion method.On the projection-based level, the homogeneous classifiers were fused, and the fusion results were further fused at the classifier-based level to construct a multi-classifier fusion system based on random projection for differentiation of AMLwvf and RCC.The discriminative capability of this model was quantitatively evaluated using 5-fold cross validation and 4 evaluation indexes[specificity, sensitivity, accuracy and area under ROC curve (AUC)].We quantitatively compared this multi-classifier fusion framework against different classification models using a single classifier and several multi-classifier ensemble models. RESULTS: When the projection number was set at 10, the proposed hierarchical fusion differentiation framework achieved the best results on all the evaluation measurements.At the optimal projection number of 10, the specificity, sensitivity, average accuracy and AUC of the multi-classifier ensemble classification system for differentiation between AMLwvf and RCC were 0.853, 0.693, 0.809 and 0.870, respectively. CONCLUSION The proposed model constructed based on a multi-classifier fusion system using random projection shows better performance to differentiate RCC from AMLwvf than the AMLwvf and RCC discrimination models based on a single classification algorithm and the currently available benchmark ensemble methods.
Angiomyolipoma/pathology* ; Carcinoma, Renal Cell ; Diagnosis, Differential ; Humans ; Kidney Neoplasms/pathology* ; Retrospective Studies ; Tomography, X-Ray Computed/methods*

Objectives: To summarize the clinical phenotypes and the variation spectrum of ATP7B gene in Chinese children with Wilson's disease (WD) and to investigate their significance for early diagnosis. Methods: Retrospective analysis was performed on the clinical data of 316 children diagnosed as WD in Guangzhou Women and Children's Medical Center during the period from January 2010 to June 2021. The general situations, clinical manifestations, lab test results, imaging examinations, and ATP7B gene variant characteristics were collected. The patients were divided into asymptomatic WD group and symptomatic WD group based on the presence or absence of clinical symptoms at the time that WD diagnosis was made. The χ² test, t test or Mann-Whitney U test were used to compare the differences between groups. Results: Among the 316 children with WD, 199 were males and 117 were females, with the age of 5.4 (4.0, 7.6) years at diagnosis; 261 cases (82.6%) were asymptomatic with the age of 4.9 (3.9, 6.4) years; whereas 55 cases (17.4%) were symptomatic with the age of 9.6 (7.3, 12.0) years. The main symptoms invloved liver, kidney, nervous system, or skin damage. Of all the patients, 95.9% (303/316) had abnormal liver function at diagnosis; 98.1% (310/316) had the serum ceruloplasmin lever lower than 200 mg/L; 97.7% (302/309) had 24-hour urine copper content exceeding 40 μg; only 7.4% (23/310) had positive corneal K-F rings, 8.2% (23/281) had abnormal MRI signals in the lenticular nucleus, and all of them had symptoms of damage in liver, kidney or nervous system. Compared with the group of symptomatic WD, asymptomatic group had higher levels of serum alanine aminotransferase and lower levels ceruloplasmin and 24-hour urine copper [(208±137) vs. (72±78) U/L, (55±47) vs. (69±48) mg/L, 103 (72, 153) vs. 492 (230, 1 432) μg; t=9.98, -1.98, Z=-4.89, all P<0.001]. Among the 314 patients completing genetic sequencing, a total of 107 mutations in ATP7B gene were detected, of which 10 are novel variants, and 3 cases (1.0%) had large heterozygous deletion (exons 10 to exon 11) in ATP7B gene. The percentage of missense mutation in asymptomatic WD children was significantly higher than that in symptomatic WD (81.5% (422/518) vs. 69.1% (76/110), χ²=8.47, P<0.05). WD patients carrying homozygous variant of c.2 333G>T had significantly low levels of ceruloplasmin than those not carrying this variant ((23±5) vs. (61±48) mg/L, t=-2.34, P<0.001). Conclusions: The elevation of serum ALT is an important clue for early diagnosis of WD in children, while serum ceruloplasmin and 24-hour urine copper content are specific markers for early diagnosis of WD. In order to confirm the diagnosis of WD, it is necessary to combine the Sanger sequencing with multiplex ligation-dependent probe amplification or other testing technologies.
Ceruloplasmin/metabolism* ; Child ; Child, Preschool ; Copper/metabolism* ; Copper-Transporting ATPases/genetics* ; Female ; Hepatolenticular Degeneration/genetics* ; Humans ; Male ; Mutation ; Phenotype ; Retrospective Studies