Magnolol as an Antibacterial Agent against Drug-resistant Bacteria Targeting FtsZ.

The emerging of multiple drug-resistant bacteria poses critical health threats worldwide. It is urgently needed to develop potent and safe antibacterial agents with novel bactericidal mechanisms to treat these infections. In this study, magnolol was identified as a potential bacterial cell division inhibitor by cell-based screening approach.

Psychometric Validation of the Dampness Syndrome Scale of Chinese Medicine for People in China.

Background: Dampness syndrome is a basic syndrome of many major and chronic diseases. Early screening and identification of dampness syndrome are important. The Dampness Syndrome Scale of Chinese Medicine (DSSCM) was developed to measure the occurrence and severity of dampness syndrome.

Reliability and validity of Healthy Fitness Measurement Scale Version1.0 (HFMS V1.0) in Chinese elderly people.

Purpose: We examined the reliability and validity of the Healthy Fitness Measurement Scale Version 1.0 (HFMS V1.0) specifically on elderly people in China.

Prognostic value of miR-21 in gliomas: comprehensive study based on meta-analysis and TCGA dataset validation.

Recent studies have highlighted the value of microRNA-21 (miR-21) as a prognostic biomarker in gliomas. However, the role of miR-21 in predicting prognosis remains controversial. We performed a comprehensive study based upon a meta-analysis and The Cancer Genome Atlas (TCGA) glioma dataset validation to clarify the prognostic significance of miR-21 in glioma patients.

An integrated model of clinical information and gene expression for prediction of survival in ovarian cancer patients.

Accumulating evidence shows that clinical factors alone are not adequate for predicting the survival of patients with ovarian cancer (OvCa), and many genes have been found to be associated with OvCa prognosis. The objective of this study was to develop a model that integrates clinical information and a gene signature to predict the survival durations of patients diagnosed with OvCa. We constructed mRNA and microRNA expression profiles and gathered the corresponding clinical data of 552 OvCa patients and 8 normal controls from The Cancer Genome Atlas.