According to the principle and current domestic and international construction processes of core outcome set(COS) and the characteristics of post-stroke aphasia, this study built COS with evidence-based support for traditional Chinese medicine(TCM) treatment of post-stroke aphasia. Firstly, a comprehensive review was conducted on the articles about the TCM treatment of post-stroke aphasia that were published in the four major Chinese databases, three major English databases, and three clinical registration centers over the past five years. The articles were analyzed and summarized, on the basis of which the main part of the COS for clinical research on the TCM treatment of post-stroke aphasia was formed. Secondly, clinical doctors and related nursing personnel were interviewed, and important outcome indicators in the clinical diagnosis and treatment process were supplemented to form a pool of core outcome indicators. Two rounds of Delphi surveys were carried out to score the importance of the core outcome indicators in the pool. Finally, a consensus meeting of experts was held to establish the COS for clinical research on the TCM treatment of post-stroke aphasia. The final COS included a total of 268 studies [236 randomized controlled trials(RCTs), 21 Meta-analysis, and 11 clinical registration protocols] and 20 open questionnaire survey results. After two rounds of Delphi surveys, a total of 14 outcome indicators and their corresponding measurement tools were included in the expert consensus meeting. The final expert consensus meeting determined the COS for post-stroke aphasia, which included 9 indicator domains and 12 outcome indicators.
Humans ; Aphasia/therapy* ; Stroke/complications* ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal/therapeutic use* ; Treatment Outcome

OBJECTIVE: To investigate the molecular alterations of splenocytes associated with anti-factor Ⅷ (FⅧ) immune response and the underlying mechanisms based on hemophilia A (HA) murine model via RNA sequencing (RNA-seq) technology. METHODS: Severe HA mice were immunized with recombinant human factor Ⅷ (rhF8) weekly for 4 weeks to establish an FⅧ inhibitor model. High quality raw data were obtained by using bulk RNA-seq and CASAVA base identification technology, and the differentially expressed genes (DEGs) were identified. The DEGs were statistically classified by gene ontology (GO) annotation to obtain information on the major signaling pathways and biological processes involved in anti-FⅧ immune response in HA mouse splenocytes. The cell clusters, genes, and signaling pathway datasets were comprehensively analyzed by GO, Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis and single cell RNA-seq (ScRNA-seq) analysis, respectively. Flow cytometry analysis was used to verify the changes in T follicular helper cells (Tfh) and regulatory T cells (Treg). RESULTS: A total of 3731 DEGs was identified, including 2275 genes with up-regulated expression and 1456 genes with down-regulated expression. The DEGs were enriched in helper T cell differentiation, cytokine receptor, T cell receptor signaling pathway, ferroptosis, etc. Uniform Manifold Approximation and Project (UMAP) downscaling and visualization analysis yielded a total number of 11 T/NK cell subsets, visualizing the overall expression distribution of C-X-C chemokine-specific receptor gene cxcr5 among these T/NK cell subsets. Higher expression of cxcr5 was found in activated Tfh from FⅧ inhibitor mice, in comparison to the control group. The visualization using Upset plot R language showed a close interaction between Tfh and Treg. Moreover, the increased frequencies of Tfh and the decreased frequencies of Treg in inhibitor mouse splenocytes were further verified by flow cytometry analysis. CONCLUSION Multiple immune cell subsets, signaling pathways, and characteristic genes may be involved in the process of anti-FⅧ immune response in HA mouse splenocytes. The molecules involved in the regulation of Tfh/Treg may play key roles, which provide potential biological targets and therapeutic strategies for HA patients with inhibitors in the future.
Animals ; Hemophilia A/genetics* ; Mice ; Sequence Analysis, RNA ; Disease Models, Animal ; Spleen/cytology* ; T-Lymphocytes, Regulatory/immunology* ; Humans ; Signal Transduction ; Factor VIII/immunology* ; T-Lymphocytes, Helper-Inducer/immunology*

OBJECTIVE: To reveal the effects and potential mechanisms by which synaptic vesicle glycoprotein 2A (SV2A) influences the distribution of amyloid precursor protein (APP) in the trans-Golgi network (TGN), endolysosomal system, and cell membranes and to reveal the effects of SV2A on APP amyloid degradation. METHODS: Colocalization analysis of APP with specific tagged proteins in the TGN, ensolysosomal system, and cell membrane was performed to explore the effects of SV2A on the intracellular transport of APP. APP, β-site amyloid precursor protein cleaving enzyme 1 (BACE1) expressions, and APP cleavage products levels were investigated to observe the effects of SV2A on APP amyloidogenic processing. RESULTS: APP localization was reduced in the TGN, early endosomes, late endosomes, and lysosomes, whereas it was increased in the recycling endosomes and cell membrane of SV2A-overexpressed neurons. Moreover, Arl5b (ADP-ribosylation factor 5b), a protein responsible for transporting APP from the TGN to early endosomes, was upregulated by SV2A. SV2A overexpression also decreased APP transport from the cell membrane to early endosomes by downregulating APP endocytosis. In addition, products of APP amyloid degradation, including sAPPβ, Aβ _1-42, and Aβ _1-40, were decreased in SV2A-overexpressed cells. CONCLUSION These results demonstrated that SV2A promotes APP transport from the TGN to early endosomes by upregulating Arl5b and promoting APP transport from early endosomes to recycling endosomes-cell membrane pathway, which slows APP amyloid degradation.
Amyloid beta-Protein Precursor/genetics* ; Membrane Glycoproteins/genetics* ; Animals ; Protein Transport ; Nerve Tissue Proteins/genetics* ; Humans ; Mice ; Endosomes/metabolism* ; trans-Golgi Network/metabolism*

The MADS-box gene family is a very important transcriptional regulator gene, which plays a role in the whole growth and development process of plants. The APETALA1 (AP1) gene is considered to play an important regulatory role in the transformation of plant flowering, but also to control the characteristic development of floral organs. Lonicera macranthoides is used as medicine with dry buds and early flowers. Therefore, studying the potential mechanism of AP1 gene in regulating flower organ development can provide a basis for improving its medicinal value by molecular means. To explore the potential mechanism of the AP1 gene in the regulation of floral organ development in L. macranthoides, the full-length cDNA of the AP1 was cloned by reverse transcription PCR (RT-PCR) and named LmMADS4. The results show that the CDS of the LmMADS4 gene is 729 bp and encodes 242 amino acids, and the LmMADS4 protein contains no signal peptide and no transmembrane structure, which is an unstable hydrophilic protein. Through homologous sequence alignment and phylogenetic analysis, LmMADS4 and L. japonica MADS27 protein cluster into one class and are closely related. Finally, the expression pattern and protein interaction pattern of LmMADS4 were analyzed by real-time reverse transcription-PCR (qRT-PCR) and yeast two-hybrid technology. The qRT-PCR showed that LmMADS4 gene was differentially expressed in the stems, leaves and flower bud at different developmental stages, including bud type variety Longhua and common variety Baiyun; and LmMADS4 gene was highly expressed in the flower buds, and with the development of flower buds, LmMADS4 gene was continuously up-regulated in the flower bud variety Longhua, however, the expression level of LmMADS4 in the Baiyun terminal flower bud was lower than that in the late flower bud, but the difference was not significant. The yeast two-hybrid results showed that the bait vector pGBKT7-LmMADS4 was not toxic to yeast strains and had no self-activating activity. LmMADS4 protein interacted with LmSVP1, LmSVP3 and LmSOC1s proteins. This study can provide a theoretical basis for exploring the mechanism of long flower bud stage and corolla non-unfolding at the molecular level and variety improvement of L. macranthoides.

Objective:To investigate the clinical significance of bone metabolic indexes for disease assessment and curative effect monitoring in multiple myeloma(MM)bone disease(MBD)patients with different blood separation results.Methods:A total of 134 newly diagnosed MM patients treated in Cangzhou Hospital of Integrated TCM-WM-Hebei were enrolled and divided into control group[119 cases,serum,colloid and red blood cell(RBC)from top to bottom of sample]and abnormal group(15 cases,serum,mixed layer of RBC and serum,colloid and RBC from top to bottom of sample)according to the results of blood separation.According to the imaging findings,MBD was classified into grade 0-4,grade 0-2 was mild,and grade 3-4 was severe.The MBD grade of patients in the two groups was analyzed.The curative effect of MBD patients after chemotherapy and the changes of blood separation results and bone metabolic indexes before and after treatment were evaluated.The correlation between β 2-microglobulin(MG)and bone metabolic indexes was analyzed by Pearson correlation analysis.Results:In the control group,there were 69 cases of grade 0-2 and 50 cases of grade 3-4,while in the abnormal group,there were 5 cases of grade 0-2 and 10 cases of grade 3-4,the difference was statistically significant(P＜0.05).The serum β 2-MG,β-CTX levels in abnormal group were both significantly higher than those in control group,while the levels of P1NP and osteocalcin(OC)were significantly lower(all P＜0.001).In the control group,there were 95 patients with ≥ partial response(PR)and the blood separation results were not changed,while 24 patients with＜PR and 5 of them had abnormal blood separation results.In the abnormal group,9 patients with efficacy≥PR showed normal blood separation results,while 6 patients with efficacy＜PR and 5 of them still remained abnormal blood separation results.Compared with before treatment,β-CTX and β 2-MG of patients with efficacy ≥ PR were significantly decreased but P1NP and OC increased in the control group(all P＜0.00 1),which was the same as abnoraml group(both P＜0.001,P＜0.01).There were no significant changes in the levels of all indexes in the two groups of patients with efficacy＜PR(P＞0.05).Compared with before treatment,the levels of β-CTX and β 2-MG in the control group with unchanged blood separation results were significantly decreased(both P＜0.00l),while the levels of P1NP and OC were significantly increased(P＜0.01,P＜0.001),and the level of each index in the patients transformed to abnormal blood separation result after treatment did not significantly change(P＞0.05);the levels of β-CTX and β 2-MG in the abnormal group transformed to normal blood separation result were significantly decreased(both P＜0.01),while the levels of P1NP and OC were significantly increased(P＜0.001,P＜0.01),and the level of each index in patients with unchanged blood separation results did not significantly change(P＞0.05).Pearson correlation analysis showed that serumβ 2-MG was positively correlated with β-CTX(r=0.709,P＜0.001),and negatively correlated with P1NP and OC(r=-0.410,r=-0.412,both P＜0.001).Conclusion:MBD patients with abnormal blood separation results have higher bone disease grade and poor prognosis,which is closely related to the significant increase of bone resorption index β-CTX level and decrease of bone formation index P1NP and OC levels,leading to more serious bone metabolic homeostasis disorder.The results of blood separation combined with the changes of bone metabolic indexes can be used as one of the comprehensive predictors of disease condition,efficacy monitoring and prognosis evaluation of MBD patients.

This study investigated the mechanism of Danggui Shaoyao Powder(DSP) against mitophagy in rat model of Alzheimer's disease(AD) induced by streptozotocin(STZ) based on PTEN induced putative kinase 1(PINK1)-Parkin signaling pathway. The AD rat model was established by injecting STZ into the lateral ventricle, and the rats were divided into normal group, model group, DSP low-dose group(12 g·kg~(-1)·d~(-1)), DSP medium-dose group(24 g·kg~(-1)·d~(-1)), and DSP high-dose group(36 g·kg~(-1)·d~(-1)). Morris water maze test was used to detect the learning and memory function of the rats, and transmission electron microscopy and immunofluorescence were employed to detect mitophagy. The protein expression levels of PINK1, Parkin, LC3BⅠ/LC3BⅡ, and p62 were assayed by Western blot. Compared with the normal group, the model group showed a significant decrease in the learning and memory function(P<0.01), reduced protein expression of PINK1 and Parkin(P<0.05), increased protein expression of LC3BⅠ/LC3BⅡ and p62(P<0.05), and decreased occurrence of mitophagy(P<0.01). Compared with the model group, the DSP medium-and high-dose groups notably improved the learning and memory ability of AD rats, which mainly manifested as shortened escape latency, leng-thened time in target quadrants and elevated number of crossing the platform(P<0.05 or P<0.01), remarkably activated mitophagy(P<0.05), up-regulated the protein expression of PINK1 and Parkin, and down-regulated the protein expression of LC3BⅠ/LC3BⅡ and p62(P<0.05 or P<0.01). These results demonstrated that DSP might promote mitophagy mediated by PINK1-Parkin pathway to remove damaged mitochondria and improve mitochondrial function, thereby exerting a neuroprotective effect.
Rats ; Animals ; Mitophagy ; Alzheimer Disease/genetics* ; Powders ; Protein Kinases/metabolism* ; Ubiquitin-Protein Ligases/metabolism*

This study aims to characterize the cell atlas of the epididymis derived from a 46,XY disorders of sex development (DSD) patient with a novel heterozygous mutation of the nuclear receptor subfamily 5 group A member 1 (NR5A1) gene. Next-generation sequencing found a heterozygous c.124C>G mutation in NR5A1 that resulted in a p.Q42E missense mutation in the conserved DNA-binding domain of NR5A1. The patient demonstrated feminization of external genitalia and Tanner stage 1 breast development. The surgical procedure revealed a morphologically normal epididymis and vas deferens but a dysplastic testis. Microfluidic-based single-cell RNA sequencing (scRNA-seq) analysis found that the fibroblast cells were significantly increased (approximately 46.5%), whereas the number of main epididymal epithelial cells (approximately 9.2%), such as principal cells and basal cells, was dramatically decreased. Bioinformatics analysis of cell-cell communications and gene regulatory networks at the single-cell level inferred that epididymal epithelial cell loss and fibroblast occupation are associated with the epithelial-to-mesenchymal transition (EMT) process. The present study provides a cell atlas of the epididymis of a patient with 46,XY DSD and serves as an important resource for understanding the pathophysiology of DSD.
Male ; Humans ; Epididymis ; Disorder of Sex Development, 46,XY/genetics* ; Disorders of Sex Development ; Mutation ; Mutation, Missense ; Steroidogenic Factor 1/genetics*

The efficacy of HPV vaccine in preventing cervical cancer has been demonstrated in numerous clinical trials and clinical uses. The follow-up after clinical trials usually last for 5-6 years to evaluate the long-term efficacy, and a series of long-term follow-up studies have been conducted in some regions. The literature retrieval of HPV vaccine long term efficiency research both at home and abroad indicated that the protective efficacy of the vaccine against vaccine-type-related cervical intraepithelial neoplasia grade 2 and above is higher than 90%.
Humans ; Human Papillomavirus Viruses ; Biomedical Research ; Papillomavirus Vaccines

ObjectiveTo observe the changes in the expression and distribution of G protein-gated inwardly rectifying potassium channel subunit 2 （GIRK2） in the dorsal root ganglion （DRG） and spinal cord dorsal horn of rats with remifentanil-induced hyperalgesia. MethodsHyperalgesia was induced by intravenous infusion of remifentanil 4 μg/kg/min for 2 h in adult male SD rats. At 6th hour and on days 1， 3 and 5 following remifentanil treatment， we used immunofluorescence to examine the changes in the GIRK2 distribution and expression. Immunoblotting was used to detect GIRK2 expression of the total protein and membrane protein in DRG and spinal dorsal horn of rats. Behavioral testing was applied to evaluate the effect of intrathecal injection of GIRK2-specific agonist ML297 on thermal nociceptive threshold on day 1 after remifentanil infusion. Resultsmmunofluorescence results showed that GIRK2 was mainly co-localized with IB4-positive small neurons in DRG and nerve fibers in spinal dorsal horn. GIRK2 expression was significantly downregulated following remifentanil treatment. Immunoblotting results revealed that on day 1 following intravenous infusion of remifentanil， compared with those in the control group， GIRK2 expression levels of the total protein and membrane protein in DRG （0.47 ± 0.10 vs. 1.01 ± 0.17， P < 0.001； 0.47 ± 0.11 vs. 1.06 ± 0.12， P < 0.001） and spinal dorsal horn （0.52 ± 0.09 vs. 1.10 ± 0.08， P < 0.001； 0.54 ± 0.10 vs. 1.01 ± 0.13， P < 0.001） were all significantly decreased. The behavioral results showed that intrathecal ML297 effect on thermal withdrawal latency was significantly reduced following remifentanil treatment （P < 0.001）. ConclusionsRemifentanil might induce hyperalgesia via down-regulating GIRK2 expression in rat DRG and spinal cord dorsal horn.

Objective: To develop a multi-classification orthodontic image recognition system using the SqueezeNet deep learning model for automatic classification of orthodontic image data. Methods: A total of 35 000 clinical orthodontic images were collected in the Department of Orthodontics, Capital Medical University School of Stomatology, from October to November 2020 and June to July 2021. The images were from 490 orthodontic patients with a male-to-female ratio of 49∶51 and the age range of 4 to 45 years. After data cleaning based on inclusion and exclusion criteria, the final image dataset included 17 453 face images (frontal, smiling, 90° right, 90° left, 45° right, and 45° left), 8 026 intraoral images [frontal occlusion, right occlusion, left occlusion, upper occlusal view (original and flipped), lower occlusal view (original and flipped) and coverage of occlusal relationship], 4 115 X-ray images [lateral skull X-ray from the left side, lateral skull X-ray from the right side, frontal skull X-ray, cone-beam CT (CBCT), and wrist bone X-ray] and 684 other non-orthodontic images. A labeling team composed of orthodontic doctoral students, associate professors, and professors used image labeling tools to classify the orthodontic images into 20 categories, including 6 face image categories, 8 intraoral image categories, 5 X-ray image categories, and other images. The data for each label were randomly divided into training, validation, and testing sets in an 8∶1∶1 ratio using the random function in the Python programming language. The improved SqueezeNet deep learning model was used for training, and 13 000 natural images from the ImageNet open-source dataset were used as additional non-orthodontic images for algorithm optimization of anomaly data processing. A multi-classification orthodontic image recognition system based on deep learning models was constructed. The accuracy of the orthodontic image classification was evaluated using precision, recall, F1 score, and confusion matrix based on the prediction results of the test set. The reliability of the model's image classification judgment logic was verified using the gradient-weighted class activation mapping (Grad-CAM) method to generate heat maps. Results: After data cleaning and labeling, a total of 30 278 orthodontic images were included in the dataset. The test set classification results showed that the precision, recall, and F1 scores of most classification labels were 100%, with only 5 misclassified images out of 3 047, resulting in a system accuracy of 99.84%(3 042/3 047). The precision of anomaly data processing was 100% (10 500/10 500). The heat map showed that the judgment basis of the SqueezeNet deep learning model in the image classification process was basically consistent with that of humans. Conclusions: This study developed a multi-classification orthodontic image recognition system for automatic classification of 20 types of orthodontic images based on the improved SqueezeNet deep learning model. The system exhibitted good accuracy in orthodontic image classification.
Humans ; Male ; Female ; Child, Preschool ; Child ; Adolescent ; Young Adult ; Adult ; Middle Aged ; Deep Learning ; Reproducibility of Results ; Radiography ; Algorithms ; Cone-Beam Computed Tomography