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Background: Age at natural menopause (ANM) is an important index for women's health. Either early or late ANM is associated with a series of adverse outcomes later in life. Despite being an inheritable trait, its genetic determinant has not yet been fully understood.Methods: Aiming to better characterize the genetic architecture of ANM, we conducted genome-wide association study (GWAS) meta-analyses in European-specific as well as trans-ancestry samples by using GWAS summary statistics from the following 3 large studies: the Reproductive Genetics Consortium (ReproGen; N = 69 626), the UK Biobank cohort (UKBB; N = 111 593) and the BioBank Japan Project (BBJ; N = 43 861), followed by a series of bioinformatical assessments and functional annotations.Results: By integrating the summary statistics from the 3 GWAS of up to 225 200 participants, this largest meta-analysis identified 49 novel loci and 3 secondary signals that were associated with ANM at the genome-wide significance level (P < 5 × 10-8). No population specificity or heterogeneity was observed at most of the associated loci. Functional annotations prioritized 90 candidate genes at the newly identified loci. Among the 26 traits that were genetically correlated with ANM, hormone replacement therapy (HRT) exerted a causal relationship, implying a causal pattern by which HRT was determined by ANM.Conclusion: Our findings improved our understanding of the etiology of female menopause, as well as shed light on potential new therapies for abnormal menopause. [ABSTRACT FROM AUTHOR]

Dolomiaea plants are perennial herbs in the Asteraceae family with a long medicinal history. They are rich in chemical constituents, mainly including sesquiterpenes, phenylpropanoids, triterpenes, and steroids. The extracts and chemical constituents of Dolomiaea plants have various pharmacological effects, such as anti-inflammatory, antibacterial, antitumor, anti-gastric ulcer, hepatoprotective and choleretic effects. However, there are few reports on Dolomiaea plants. This study systematically reviewed the research progress on the chemical constituents and pharmacological effects of Dolomiaea plants to provide references for the further development and research of Dolomiaea plants.

Chinese medicine processing is a procedure to process medicinal materials under the guidance of traditional Chinese medicine(TCM) theories by using unique methods in China. The medicinal materials can only be used clinically after proper processing. With the development of the modernization of TCM, it is difficult to solve the problems in the inheritance, development, and internationalization of Chinese medicine processing. Metabonomics, a new omics technology developed at the end of the last century, is used to infer the physiological or pathological conditions of the organism with the methods such as NMR and LC-MS via investigating the changes in endogenous small molecule metabolic network after the organism is stimulated by external environment. Metabonomics coincides with the holistic view of TCM because it displays the characteristics of integrity, comprehensiveness, and dynamics, and it has been widely applied in the field of Chinese medicine processing in recent years. This study summarized the application of metabonomics in the processing mechanism and quality control of Chinese medicine processing and prospected the development of this technology in the field of Chinese medicine processing.

Syndrome is a nonlinear &quot;internal-excess external-deficiency&quot;, &quot;dynamic spatial-temporal&quot; and &quot;multi-dimensional&quot; complex system and thus only by using a versatile method can the connotation be expounded. Metabonomics, which is dynamic, holistic, and systematic, is consistent with the overall mode of traditional Chinese medicine(TCM)(holistic view and syndrome differentiation and treatment). Therefore, metabonomics is very important for the research on the differentiation, material basis, and metabolic pathways of syndromes, and efficacy on syndromes. This study reviewed the application of metabonomics in the study of TCM syndromes in recent years, which is expected to objectify the research on TCM syndromes.