Mastitis is a disease with frequent incidence in dairy cows, causing huge financial losses to the dairy industry globally. The identification of certain biomarkers is crucial for the early diagnosis and management of mastitis. Metabolomics technology is a useful tool to accurately and efficiently analyze the changes of metabolites in biofluids in response to internal and external stimulations. Milk is the secreted by udder, and milk metabolites can directly reflect whether the udder are in the healthy or diseased state. The milk metabolomics analysis of mastitis can reveal the physiological and pathological changes of mammary gland and screen the related biomarkers, so as to offer useful reference for the prediction, diagnosis, and management of mastitis. Therefore, the aim of the present study was to comprehensively summarize milk metabolic change caused by naturally occurring or experimentally induced mastitis in dairy cows. In addition, comparative analysis and enrichment analysis were conducted to further discover potential biomarkers of mastitis and to identify the relevant pathways differentiating the healthy and mastitic cows. Multiple milk metabolites were identified to be altered during mastitis based on different metabolomics platforms. It was noteworthy that there were 28 metabolites not only identified by at least two different studies, but also showed consistent change tendency among the different studies. By comparison with literature, we further identified 12 milk metabolites, including acetate, arginine, β-hydroxybutyrate, carnitine, citrate, isoleucine, lactate, leucine, phenylalanine, proline, riboflavin, and valine that were linked with the occurrence of mastitis, which suggested that these 12 milk metabolites could be potential biomarkers of mastitis in dairy cows. Several pathways were revealed to explain the mechanisms of the variation of milk metabolites caused by mastitis, such as phenylalanine, tyrosine and tryptophan biosynthesis, arginine and proline metabolism, riboflavin metabolism, and tricarboxylic acid (TCA) cycle. These results offer a further understanding for the alteration of milk metabolites caused by mastitis, which have a potential significance in the development of more reliable biomarkers for mastitic diagnosis in dairy cows.

Sharing educational resources (ERs) among campuses in a university town (UT) could avoid the waste or repeated construction of ERs, which is beneficial to the sustainable utilization of resources. For hardware educational resources (HERs) greatly attached to land resources, whether they have surplus shareable potential is the key factor relating to inter-campus sharing. However, there is a serious lack of definition and quantitative research on HERs’ shareable potential. Based on the correlation between land resource utilization and HER sharing, we firstly defined the connotation of inter-campus sharable potential of HERs (ISPHERs), put forward its calculation method and carried out a case study in Longzi Lake UT of Zhengzhou City, Henan province, China. The results show that: (1) ISPHERs could be defined from the perspective of “the best utilization degree” which mainly depended on the utilization and development gap between the present area value and the possible most intensive one under certain conditions; (2) based on the area quota and the students’ number, the ISPHERs was calculated by the Delphi and multi-factor model methods; (3) the case study in Longzi Lake UT of Zhengzhou City, Henan province, China showed that the comprehensive ISPHERs was high in the south and low in the north, and the libraries and canteens in five colleges and universities mainly providing vocational skills training were insufficient. If all the 11 campuses could freely share HERs, there would be an overall surplus of the five kinds of HER (i.e., classroom, laboratory, library, indoor sports room and canteen). The comprehensive management framework should include sustainable concept guidance, cooperation system construction, planning control, benefit adjustment and technological innovation, etc.