Objective To establish the quality standard of Yifukang Capsule. Methods The identification of Radix Puerariae, Radix Salviae miltiorrhizae, Radix Ginseng was carried out by TLC. The content of puerarin was determined by HPLC. Results Radix Puerariae, Radix Salviae miltiorrhizae, Radix Ginseng could be identified by TLC. A good linearity of puerarin was in the range of 0.2～ 1.6 ? g(r=0.9999) and the average recovery of puerarin was 102.6 % , RSD was 1.70 % . Conclusion This method is simple, sensitive, accurate and with good reproducibility and can be used for the quality control of Yifukang Capsule. 

OBJECTIVE: To carry out cyto- and molecular genetic analysis for a fetus with a ring chromosome identified through non-invasive prenatal testing (NIPT). METHODS: A pregnant woman presented at the Shengjing Hospital Affiliated to China Medical University on May 11, 2021 was selected as the study subject. Maternal peripheral blood sample was screened by NIPT, and G-banded chromosomal karyotyping was carried out on amniotic fluid and peripheral blood samples from the couple. The fetus and the pregnant woman were also subjected to genomic copy number variation sequencing (CNV-seq), chromosomal microarray analysis (CMA), and fluorescence in situ hybridization (FISH) assay. RESULTS: NIPT result suggested that the fetus had monomeric mosaicism or fragment deletion on chromosome 13. G banded chromosomal analysis showed that both the fetus and its mother had a karyotype of 47,XX,der(13)(pter→p11::q22→q10),+r(13)(::p10::q22→qter::), whilst her husband had a normal karyotype. FISH has verified the above results. No abnormality was detected with CNV-seq and CMA in both the fetus and the pregnant woman. CONCLUSION The ring chromosome 13 in the fetus has derived from its mother without any deletion, duplication and mosaicism. Both the fetus and the pregnant woman were phenotypically normal.
Humans ; Pregnancy ; Female ; Ring Chromosomes ; Chromosomes, Human, Pair 13/genetics* ; In Situ Hybridization, Fluorescence ; DNA Copy Number Variations ; Prenatal Diagnosis/methods* ; Amniotic Fluid

Objective: To explore the value of an oral squamous cell carcinoma (OSCC) diagnostic model constructed by using principal component analysis (PCA) to analyze a database of differentially expressed genes in OSCC and to provide a reference for clinical diagnosis and treatment. Methods: RNA-seq expression data of OSCC and normal control samples were obtained from The Cancer Genome Atlas (TCGA) database, and then, normalized and differentially expressed genes (DEGs) were identified by R software. DEGs were enriched by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis to identify their main biological characteristics. 70% of DEGs expression data in RNA-seq were randomly selected as the training set and 30% were selected as the test set. Then, the PCA method was applied to analyze the training set data and extract the principal components (PCs) related to the diagnosis of OSCC in order to construct a PCA model. Then, the receiver operating characteristic (ROC) curves of PCA models in the training set and the test set were respectively drawn, and the area under curve (AUC) was calculated to evaluate the accuracy of the PCA model in the diagnosis of OSCC. Results: RNA-seq expression data of OSCC and normal control samples obtained from TCGA database included 330 samples and 32 samples, respectively. Using false discovery rate (FDR) <0.001 and |log2 fold change| (|log2FC|) >4 as the thresholds, a total of 159 downregulated and 248 upregulated DEGs were identified, which were mainly enriched in cellular components such as intermediate fiber and melanosomal membrane, pigment and salivation-related biological processes and mainly involved in salivary secretion and tyrosine metabolism pathways (P.adjust<0.05 and Q<0.05). The DEGs were proposed as tumor markers for OSCC, and PCA analysis of the training set showed that the cumulative ratio of variance of PC1, PC2 and PC3: [including submaxillary gland androgen regulated protein 3B (SMR3B), proline rich 27 (PRR27), histatin 3 (HTN3), statherin (STATH), cystatin D (CST5), BPI fold containing family A member 2 (BPIFA2), proline rich protein Hae Ⅲ subfamily 2 (PRH2), keratin 35(KRT35), histatin 1 (HTN1), amylase alpha 1B (AMY1B)] were 0.873, 0.100 and 0.023, respectively, and the total weight of the three was 0.996. The PCA diagnostic model of OSCC was further constructed by combining the eigenvectors of the above three components. The ROC curves of the training set and test set showed that the AUC values of the PCA model were 0.852 and 0.844, respectively, which were higher than those of other single genes. Conclusion The OSCC diagnostic model based on the expression levels of SMR3B, PRR27, HTN3, STATH, CST5, BPIFA2, PRH2, KRT35, HTN1 and AMY1B constructed with the PCA method and DEGs has a high diagnostic advantage. This study provides a theoretical basis for the early genetic diagnosis of OSCC and the application of the PCA model in clinical diagnosis.

The clinical application of immune checkpoint inhibitors (ICIs) has significantly improved the prognosis of hepatocellular carcinoma (HCC) patients. With the widespread applica-tion of ICIs in HCC, the management of immune-related adverse events (irAE) gained more and more attention. However, the complicated disease characteristics and various combination therapies in HCC throw out challenges to irAE management. Therefore, the editorial board of the 'Chinese expert consensus on the management of immune-related adverse events of hepatocellular carcinoma treated with immune checkpoint inhibitors (2021 edition)' organizes multidisciplinary experts to discuss and formulate this consensus. The consensus focuses on issues related to HCC irAE manage-ment, and puts forward suggestions, in order to improve standardized and safety clinical medication, so as to maximize the benefits of immunotherapy for patients.