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1.
PLoS One ; 11(11): e0166052, 2016.
Article in English | MEDLINE | ID: mdl-27835653

ABSTRACT

Mycobacterium tuberculosis (MTB) is a specific aerobic bacterium, but can survive under hypoxic conditions, such as those in lung cheese necrosis, granulomas, or macrophages. It is not clear whether the drug sensitivity and growth characteristics of MTB under hypoxic conditions are different from those under aerobic conditions. In this study, we examined the drug resistance and growth characteristics of MTB clinical isolates by a large sample of in vitro drug susceptibility tests, using an automatic growth instrument. Under hypoxic conditions, variance in drug resistance was observed in nearly one-third of the MTB strains and was defined as MTB strains with changed drug sensitivity (MTB-CDS). Among these strains, resistance in a considerable proportion of clinical strains was significantly increased, and some strains emerged as multi-drug resistant. Growth test results revealed a high growth rate and large survival number in macrophages under hypoxia in MTB-CDS. According to the results of fluorescence quantitative PCR, the expression of some genes, including RegX3 (involving RIF resistance), Rv0194 (efflux pump gene), four genes related to transcription regulation (KstR, DosR, Rv0081 and WhiB3) and gene related to translation regulation (DATIN), were upregulated significantly under hypoxic conditions compared to that under aerobic conditions (p < 0.05). Thus, we concluded that some MTB clinical isolates can survive under hypoxic conditions and their resistance could change. As for poor clinical outcomes in patients, based on routine drug susceptibility testing, drug susceptibility tests for tuberculosis under hypoxic conditions should also be recommended. However, the detailed mechanisms of the effect of hypoxia on drug sensitivity and growth characteristics of MTB clinical isolates still requires further study.


Subject(s)
Bacterial Proteins/genetics , Drug Resistance, Bacterial/genetics , Gene Expression Regulation, Bacterial , Mycobacterium tuberculosis/genetics , Aerobiosis , Anaerobiosis , DNA-Binding Proteins , Drug Resistance, Multiple, Bacterial/genetics , Humans , Microbial Sensitivity Tests , Mycobacterium tuberculosis/drug effects , Mycobacterium tuberculosis/physiology , Protein Kinases/genetics , Reverse Transcriptase Polymerase Chain Reaction , Transcription Factors/genetics , Tuberculosis/microbiology
2.
Microb Pathog ; 76: 61-6, 2014 Nov.
Article in English | MEDLINE | ID: mdl-25245007

ABSTRACT

Macroautophagy (autophagy) is an evolutionarily conserved control process that maintains cellular homeostasis in eukaryotic cells. Autophagy principally serves an adaptive role to degrade dysfunctional proteins and to clean damaged organelles in response to pathogenic, viral, or microbial infection, nutrient deprivation and endoplasmic reticulum (ER) stress. In previous study, we showed bovine viral diarrhea virus (BVDV) NADL infection induced autophagy and significantly elevated the expression levels of autophagy-related genes, Beclin1 and ATG14, at 12 h post-infection in MDBK cells. However, the specific mechanisms involved in controlling autophagic activity remain unclear. Here, we investigate the effects of BVDV NADL envelope glycoproteins overexpression on inducing autophagy. The results show that viral envelope glycoproteins E(rns) and E2 overexpression mediated by lentivirus increase the formation of autophagosome, the percentage of GFP-LC3 puncta-positive cells and the expression levels of Beclin1 and ATG14. Whereas E1 overexpression doesn't affect autophagic activity. Collectively, these findings suggest that the viral envelope glycoproteins E(rns) and E2 are involved in inducing autophagy, and provide a mechanistic insight into the regulation of autophagy in viral infected cells.


Subject(s)
Autophagy , Diarrhea Viruses, Bovine Viral/physiology , Glycoproteins/metabolism , Host-Pathogen Interactions , Viral Envelope Proteins/metabolism , Adaptor Proteins, Vesicular Transport/analysis , Animals , Apoptosis Regulatory Proteins/analysis , Cattle , Cell Line , Gene Expression Profiling
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