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Metallomics is a frontier interdisciplinary subject at its vigorous development stage. Its goal is to systematically study the content, distribution, chemical species, structural characteristics and functions of metal elements in biological system. It is also a comprehensive discipline to study the existing state and function of free or complex metal elements in life. Metallomics is an ideal tool to study the biological behavior of inorganic elements, which can be used to solve many problems in the research of mineral Chinese medicine(MCM). It provides a strong theoretical basis and technical support for the research of MCM. Its theory and methods provide re-ference and enlightenment for the in-depth study of MCM, and also provide new ideas and open up new ways for the research of MCM. The application of metallomics theory and methods in the research of MCM is of great significance to reveal the material basis and mec-hanism of MCM, promote the process of basic research on MCM, fully exploit and utilize medicinal mineral resources and carry forward the traditional MCM treasure in China. In this paper, we introduced the concept, academic development, research content and research methods of metallomics, and discussed the application prospects of metallomics in the analysis of inorganic element composition characteristics and quality control, material basis and mechanism of MCM, so as to provide reference for further researches on MCM.

Objective: To describe the COVID-19 epidemic and its characteristics in Heilongjiang province, and provide evidence for the further prevention and control of COVID-19 in the province. Methods: The information of COVID-19 cases and clusters were collected from national notifiable disease report system and management information system for reporting public health emergencies of China CDC. The Software's of Excel 2010 and SPSS 23.0 were applied for data cleaning and statistical analysis on the population, time and area distributions of COVID-19 cases. Results: On January 22, 2020, the first confirmed case of COVID-19 was reported in Heilongjiang. By March 11, 2020, a total of 482 cases domestic case of COVID-19, The incidence rate was 1.28/100 000, the mortality rate was 2.70% (13/482) in 13 municipalities in Heilongjiang. There were 81 clusters of COVID-19, The number of confirmed cases accounted for 79.25% (382/482) of the total confirmed cases and 12 cases of deaths. The family clusters accounted for 86.42% (70/81). Compared with the sporadic cases, the mortality rate, proportion of elderly cases aged 60 or above and severe or critical cases of clinical classification were all higher in the clusters especially the family clusters, but the differences were not significant ( P >0.05). There were 34 clusters involving more than 5 confirmed cases accounted for 41.98% (34/81) of the total clusters, the involved cases accounted for 68.31% (261/382) of the total cases of clusters. There were significant differences in age distribution of the cases among the case clusters with different case numbers. In the clusters involving 6-9 cases, the proportion of cases aged 65 years or above was more (26.53%, 39/147). Conclusions: The incidence rate of COVID-19 was relatively high and the early epidemic was serious in Heilongjiang, The number of cases was large in clusters especially family clusters.

Objective: To study the association between maternal alcohol consumption and the risk of congenital heart disease (CHD) in offspring., Methods: PubMed, Cochrane Library, Web of Science, Google Scholar, China Biology Medicine disc, Wanfang Database, CNKI Database, and Weipu Database were searched for the articles on the association between maternal alcohol consumption and congenital heart disease in offspring. These articles were published up to November 30, 2019. A random effects model or a fixed effects model was used for the pooled analysis of the results of each study, and then the pooled effective value and its 95%CI were calculated. A subgroup analysis was performed to explore heterogeneous regulators. Funnel plots and an Egger's test were used to assess publication bias., Results: A total of 4 409 articles were searched, and 55 articles were finally included in this analysis, among which there were 6 cohort studies and 49 case-control studies. The Meta analysis showed heterogeneity across all studies (I 2 =74%, P<0.01). The random effects model showed that maternal alcohol consumption was associated with CHD in offspring, with an OR of 1.18 (95%CI: 1.09-1.28). The Egger's test showed a certain degree of publication bias (P<0.05), and after adjustment, the pooled OR of CHD in offspring was 1.10 (95%CI: 1.01-1.21)., Conclusions: Maternal alcohol consumption may increase the risk of CHD in offspring.

Novel autoregulatory metabolites, arthrosporols A-C (1-3), involved in regulating the morphological switch in fungi, were purified and characterized from the carnivorous fungus Arthrobotrys oligospora. These compounds possess a novel hybrid carbon skeleton consisting of an epoxy-cyclohexenol combined with a rare monocyclic sesquiterpenol substructure. This is the first report of a monocyclic sesquiterpenol of this type of fungal origin. Compounds 1-3 displayed significant inhibitory activities toward the formation of conidiophores, while compounds 1 and 3 showed the opposite effects on the formation of a two-dimensional network with increasing rates of 40-90% and inhibiting rates of 30-90%, respectively.