Hypervirulent Klebsiella pneumoniae has the characteristics of high virulence and high viscosity, which can cause pneumonia, bacteremia, liver abscess, meningitis and other diseases, and in severe cases, it can be life-threatening. At present, studies on the pathogenic mechanism of hypervirulent Klebsiella pneumoniae showed that siderophore virulence genes play an important role in it. The siderophores closely related to hypervirulent Klebsiella pneumoniae virulence mainly include aerobactin, enterobactin, yersiniabactin and salmochelin. Siderophore-related virulence genes mainly include aer, iucB, iroNB and kfuBC. This article focuses on a brief review of the role of siderophore virulence genes in the pathogenic mechanism of hypervirulent Klebsiella pneumoniae, and aims to guide infection control.
As an essential trace element for most organisms, iron is an important cofactor for various enzymes that performs key reactions. Siderophore has been considered as an important virulence factor. The cAMP receptor protein is an integral regulator, directly or indirectly involved in the regulation of siderophores-related genes in some prokaryotes and eukaryotes. This paper briefly introduces the cAMP receptor protein, and reviews the regulation of cAMP receptor protein on siderophores-related virulence genes of Klebsiella pneumoniae, Yersinia pestis, Vibrio vulnificus and Cryptococcus neoformans, in order to lay a theoretical foundation for clarifying the regulation mechanism of cAMP receptor protein on siderophores and provide a reference for pathogenic bacteria virulence control and clinical prevention.
Diabetic kidney disease, as a common complication of diabetes, is one of the main causes of end-stage renal disease. Because of the rapid progress of its course and the limited means of treatment, it is of great clinical significance to seek biomarkers from early diagnosis for the treatment of diabetic kidney disease. At present, there are limited methods for early diagnosis of diabetic kidney disease. As a widely used research method, metabonomics can detect metabolites in diseases and provide biomarkers for disease diagnosis and prognosis. This article summarizes the changes of amino acids, lipids, organic acids and other metabolites in blood or urine of patients with diabetic kidney disease.