[Research Status and Trend of Screening for Women's Common Diseases in China].

Objective To visualize the research status and hotspots of women's common disease screening based on CiteSpace 6.1.R6,and to provide a reference for the in-depth research in this field thereafter. Methods The relevant articles were retrieved from the China National Knowledge Infrastructure with the time interval from January 1,1992 to December 13,2022.The analysis was conducted on the number of annual publications,countries(regions),institutions,author collaboration networks,keyword co-occurrence,clustering,and bursts. Results A total of 900 papers that met the criteria were included,and the number of annual publications showed a trend of first increasing and then decreasing.The cross-institutional collaboration network was mature.The research hotspots mainly covered women's health,the prevalence of women's diseases,reproductive health,and breast diseases.The hotspots have evolved from an initial focus on reproductive health care to gynecological disease management,and eventually to reproductive health and holistic health care in women. Conclusions The attention should be kept on the screening of women's common diseases.It is advisable to synchronize the screening of women's common diseases with the screening of cervical and breast cancers to expand the screening coverage,promote early disease detection and treatment,and comprehensively safeguard women's health.

[Identification of Gastrodia elata and its hybrid by polymerase chain reaction].

Gastrodia elata is a kind of traditional Chinese medicinal materials and has good medicinal value. G. elata is divided into five varieties, which includes G. elata f. elata(proto variant), G. elata f. glauca, G. elata f. viridis, G. elata f. flavid and G. elata f. alba. Among them, G. elata f. elata and G. elata f. glauca have excellent characteristics and higher contents of gastrodin and polysaccharides. The hybrid of G. elata f. elata and G. elata f. glauca is present in markets, but the characteristics between hybrid and parent are not obvious and distinguished quickly and accurately. The aim of this study is to establish a PCR specific PCR identification method, which can identify G. elata f. elata, G. elata f. glauca and their hybrid. Based on the re-sequencing results of G. elata, we screened for the single nucleotide polymorphism(SNP) variation sites, and designed two pairs of specific primers(W291-F/W291-R and H255-F/H255-R). We further collected G. elata f. elata, G. elata f. glauca and their hybrid samples from different regions, established and optimized PCR method, and investigated and verified their tolerance and applicability. The results showed that when the annealing temperature was 48 ℃ and the number of cycles was 33, 255 bp specific band were obtained from G. elata f. glauca and hybrid by using specific primers W291-F/W291-R. When the annealing temperature was 51 ℃ and the number of cycles was 33, 291 bp specific band were obtained from G. elata f. elata and hybrid by using specific primers H255-F/H255-R. Our method could be used as a promising method to identify G. elata f. elata, G. elata f. glauca and their hybrid.

[Quantitative taxonomic study on agronomic traits of cultivated Gastrodia elata].

To better understand the formation mechanism of Gastrodia elata traits, the agronomic traits of aboveground tissues and tubers were measured and analyzed in this study. It has shown that the color and thickness of the stems of the 39 samples of the G. elata collected are affected by the germplasm and variation. Clustering analysis of 39 agronomic traits of G. elata was conducted with Ward's method and Euclidean distance. The threshold of 11.0 was divided into three groups, namely hybrid G. elata, G. elata f. elata and G. elata f. glauca. Simultaneously, the correlation analysis, coefficient of variation analysis, factor analysis and cluster analysis of 13 agronomic traits of 105 G. elata tuber samples were carried out. The results showed that the weight of G. elata was significantly positively correlated with tuber length and width. The agronomic traits of tuber were highly variable, and the depth of variability of the scar was the largest and 13 agronomic traits could be divided into 6 types of factors and the contribution up to 89.348%, furthermore, tuber length factor, width and weight factor contributed more than 20%, indicating that it is of great significance for distinguishing G. elata germplasm. Cluster analysis was performed by Ward's method and Euclidean distance, with 8.0 as the threshold can be divided into three categories in the light of the origin of the source, 33 samples from Shanxi and Hubei are clustered into one category, and 19 samples from Yunnan and Guizhou are clustered into one group, and the remaining samples are grouped into one category. This study will provide a basis for the identification and purification of G. elata germplasm and germplasm resources.