A Comprehensive Evaluation of China's TCM Medical Service System: An Empirical Research by Integrated Factor Analysis and TOPSIS.

Objectives: This paper constructs a comprehensive evaluation index of the traditional Chinese medicine (TCM) medical service system and summarizes the development of TCM medical services in China. Methods: We chose 31 provinces' TCM hospitals as research objects. The data were obtained from the Health Statistics Yearbook from 2013 to 2018 and from the National Statistics of Chinese Medicine from 2012 to 2017. The approaches to factor analysis and TOPSIS are used in this paper. It is found that the comprehensive evaluation indexes of the TCM medical service system can be divided into 4 first-level indicators and 14 second-level indicators. Results: The development of the TCM medical service system in China is unbalanced and inadequate. North China and East China are generally superior to Northwest and Southwest China in terms of revenue and expenditure for TCM medical services. The per capita of medical resources in the Southwest and Northwest are stronger than those in Central and South China, but overall medical resources are weaker than those in East China and North China. TCM medical service institutions in East China, South China and Central China have achieved better service results and higher economic benefits with less resource input, which further indicates the efficient allocation of resources and the balanced operation of TCM medical service institutions. Conclusion: The development of China's TCM medical service system shows the imbalance and inadequacy of "East is strong, West is weak" and "South is superior, North is inferior."

Detection of differentially methylated regions in whole genome bisulfite sequencing data using local Getis-Ord statistics.

MOTIVATION: DNA methylation is an important epigenetic modification that has essential role in gene regulation, cell differentiation and cancer development. Bisulfite sequencing is a widely used technique to obtain genome-wide DNA methylation profiles, and one of the key tasks of analyzing bisulfite sequencing data is to detect differentially methylated regions (DMRs) among samples under different treatment conditions. Although numerous tools have been proposed to detect differentially methylated single CpG site (DMC) between samples, methods for direct DMR detection, especially for complex study designs, are largely limited. RESULTS: We present a new software, GetisDMR, for direct DMR detection. We use beta-binomial regression to model the whole-genome bisulfite sequencing data, where variations in methylation levels and confounding effects have been accounted for. We employ a region-wise test statistic, which is derived from local Getis-Ord statistics and considers the spatial correlation between nearby CpG sites, to detect DMRs. Unlike existing methods, that attempt to infer DMRs from DMCs based on empirical criteria, we provide statistical inference for direct DMR detection. Through extensive simulations and an application to two mouse datasets, we demonstrate that GetisDMR achieves better sensitivities, positive predictive values, more exact locations and better agreement of DMRs with current biological knowledge. AVAILABILITY AND IMPLEMENTATION: It is available at https://github.com/DMU-lilab/GetisDMR CONTACTS: y.wen@auckland.ac.nz or zhiguangli@dlmedu.edu.cnSupplementary information: Supplementary data are available at Bioinformatics online.

Tissue-specific microRNA responses in rats treated with mutagenic and carcinogenic doses of aristolochic acid.

Aristolochic acid (AA) is an active component in herbal drugs derived from the Aristolochia species. Although these drugs have been used since antiquity, AA is both genotoxic and carcinogenic in animals and humans, resulting in kidney tumours in rats and upper urinary tract tumours in humans. In the present study, we conducted microarray analysis of microRNA (miRNA) expression in tissues from transgenic Big Blue rats that were treated for 12 weeks with 0.1-10mg/kg AA, using a protocol that previous studies indicate eventually results in kidney tumours and mutations in kidney and liver. Global analysis of miRNA expression of rats treated with 10 mg/kg AA indicated that 19 miRNAs were significantly dysregulated in the kidney, with most of the miRNAs related to carcinogenesis. Only one miRNA, miR-34a (a tumour suppressor), was differentially expressed in the liver. The expression of the two most responsive kidney miRNAs (miR-21, an oncomiR and miR-34a) was further examined in the kidney, liver and testis of rats exposed to 0, 0.1, 1.0 and 10mg/kg AA. Expression of miR-21 was up-regulated in the kidney only, while miR-34a was dose-dependently up-regulated in both the kidney and liver; the expression of miR-21 and miR-34a was unaltered by the AA treatment in the testis. Analysis of cII mutations in the testis of treated rats also was negative. Our results indicate that AA treatment of rats produced dysregulation of a large number of miRNAs in the tumour target tissue and that the up-regulation of miR-21 correlated with the carcinogenicity of AA while the up-regulation of miR-34a correlated with its mutagenicity.

A myeloid cell population induced by Freund adjuvant suppresses T-cell-mediated antitumor immunity.

Although adjuvants are important components of vaccines, few studies have been conducted to establish the criteria on adjuvant selection and to investigate mechanisms of adjuvant actions during vaccination. Here we found that complete Freund adjuvant (CFA) induced a CD11b cell population in a B-cell independent manner. This cell population exhibited strong ability to inhibit T-cell-mediated rejection of tumor transplants. In vitro studies indicated that these cells induced T-cell apoptosis and down-regulated interferon-gamma production. Nitric oxide (NO) played important roles to achieve these effects. Plenty of NO was produced by these CFA-induced CD11b cells. The addition of N-nitro-L-arginine-methyl ester, an inhibitor of NO synthase, rescued T cells from apoptosis and partially abrogated the detrimental effects of CFA in cancer vaccines. Incomplete Freund adjuvant, one of the adjuvants still being used in clinical trials, also induced a similar cell population. Our results reveal a previously unknown mechanism in which the myeloid cell population induced by Freund adjuvant impairs antitumor immunity, and highlight the importance of adjuvant selection during tumor vaccination.