Detection of 5 Kinds of Genes Related to Plasmid-Mediated Quinolone Resistance in Four Species of Nonfermenting Bacteria with 2 Drug Resistant Phenotypes.

OBJECTIVE: This study aimed to detect 5 kinds of genes related to plasmid-mediated quinolone resistance in four species of nonfermenting bacteria with 2 drug resistance phenotypes (multidrug resistance and pandrug resistance), which were Acinetobacter baumannii (Ab), Pseudomonas aeruginosa (Pa), Stenotrophomonas maltophilia (Sm), and Elizabethkingia meningoseptica (Em). METHODS: The Phoenix NMIC/ID-109 panel and API 20NE panel were applied to 19 isolated strains, including 6 Ab strains (2 strains with multidrug resistance and 4 strains with pandrug resistance), 6 Pa strains (3 strains with multidrug resistance and 3 strains with pandrug resistance), 4 Sm strains (2 strains with multidrug resistance and 2 strains with pandrug resistance), and 3 Cm strains (2 strains with multidrug resistance and 1 strain with pandrug resistance). After strain identification and drug susceptibility test, PCR was applied to detect 5 genes related to plasmid-mediated quinolone resistance. The genes detected were quinolone resistance A (qnrA), aminoglycoside acetyltransferase ciprofloxacin resistance variant, acc(6')-Ib-cr, and 3 integrons (intI1, intI2, and intI3). The amplified products were analyzed by 1% agarose gel electrophoresis and sequenced. Sequence alignment was carried out using the bioinformatics technique. RESULTS: Of 19 strains tested, 8 strains carried acc(6')-Ib-cr and 6 of them were of pandrug resistance phenotype (3 Ab strains, 2 Pa strains, and 1 Sm strain). The carrying rate of acc(6')-Ib-cr was 60.0% for strains of pandrug resistance (6/10). Two strains were of multidrug resistance (1 Ab strain and 1 Pa strain), and the carrying rate of acc(6')-Ib-cr was 22.0% (2/9). The carrying rate was significantly different between strains of multidrug resistance and pandrug resistance (P < 0.05). The class 1 integron was detected in 11 strains, among which 6 strains were of pandrug resistance (3 Ab strains, 2 Pa strains, and 1 Sm strain). The carrying rate of the class 1 integron was 60.0% (6/10). Five strains were of multidrug resistance (3 Pa strains, 1 Ab strain, and 1 Em strain), and the carrying rate was 55.6% (5/9). The carrying rate of the class 1 integron was not significantly different between strains of multidrug resistance and pandrug resistance (P > 0.05). Both acc(6')-Ib-cr and intI1 were detected in 6 strains, which were negative for qnrA, intI2, and intI3. CONCLUSION: Quinolone resistance of isolated strains was related to acc(6')-Ib-cr and intI1 but not to qnrA, intI2, or intI3. The carrying rate of acc(6')-Ib-cr among the strains of pandrug resistance was much higher than that among the strains of multidrug resistance. But, the strains of two drug resistant phenotypes were not significantly different in the carrying rate of intI1. The detection rates of the two genes were high and similar in Ab and Pa strains. 1 Em strain carried the class 1 integron.

KMT5A promotes metastasis of clear cell renal cell carcinoma through reducing cadherin-1 expression.

Clear cell renal cell carcinoma (ccRCC) is one of the most common types of kidney cancer and is accompanied by a poor prognosis due to a high potential for metastasis and recurrence. The mechanism of ccRCC metastasis is not well known. N-lysine methyltransferase KMT5A serves a crucial role in the progression of human cancer; however, the function of KMT5A in the development of ccRCCs has not yet been investigated, which has triggered an interest in investigating the potential association between KMT5A and ccRCC. The present study demonstrates for the first time that KMT5A is a driving factor in ccRCC metastasis. The KMT5A expression level was revealed to be significantly higher in ccRCC tissues compared with adjacent normal tissues. Patients with ccRCC whose tumors expressed high levels of KMT5A were demonstrated to have significantly shorter postoperative survival times. In vitro knockdown of KMT5A expression in 786-O cells inhibited cell migration and invasion. KMT5A reduced cadherin-1 (CDH1) protein levels by directly inhibiting its transcription. The CDH1 mRNA levels were inversely correlated with KMT5A expression in ccRCC samples. Patients with high tumor KMT5A or low CDH1 levels had the poorest prognosis with the shortest overall survival (OS) time, and this combination was demonstrated to be an independent prognostic indicator for patient OS time in ccRCC, more accurate than monitoring KMT5A or CDH1 alone. Together, these results indicate that KMT5A serves a vital role in ccRCC development and progression, and it may be a novel target for ccRCC treatment and prevention.

Correction to: Analysis of resistance genes of clinical Pannonibacter phragmitetus strain 31801 by complete genome sequencing.

Subsequent to publication it has been noticed that the below listed text parts, figures and tables of the above paper were taken from paper.

Analysis of resistance genes of clinical Pannonibacter phragmitetus strain 31801 by complete genome sequencing.

To clarify the resistance mechanisms of Pannonibacter phragmitetus 31801, isolated from the blood of a liver abscess patient, at the genomic level, we performed whole genomic sequencing using a PacBio RS II single-molecule real-time long-read sequencer. Bioinformatic analysis of the resulting sequence was then carried out to identify any possible resistance genes. Analyses included Basic Local Alignment Search Tool searches against the Antibiotic Resistance Genes Database, ResFinder analysis of the genome sequence, and Resistance Gene Identifier analysis within the Comprehensive Antibiotic Resistance Database. Prophages, clustered regularly interspaced short palindromic repeats (CRISPR), and other putative virulence factors were also identified using PHAST, CRISPRfinder, and the Virulence Factors Database, respectively. The circular chromosome and single plasmid of P. phragmitetus 31801 contained multiple antibiotic resistance genes, including those coding for three different types of ß-lactamase [NPS ß-lactamase (EC 3.5.2.6), ß-lactamase class C, and a metal-dependent hydrolase of ß-lactamase superfamily I]. In addition, genes coding for subunits of several multidrug-resistance efflux pumps were identified, including those targeting macrolides (adeJ, cmeB), tetracycline (acrB, adeAB), fluoroquinolones (acrF, ceoB), and aminoglycosides (acrD, amrB, ceoB, mexY, smeB). However, apart from the tripartite macrolide efflux pump macAB-tolC, the genome did not appear to contain the complete complement of subunit genes required for production of most of the major multidrug-resistance efflux pumps.

Analysis of resistance genes in pan-resistant Myroides odoratimimus clinical strain PR63039 using whole genome sequencing.

To clarify the antibiotic resistance mechanisms of Myroides odoratimimus, pan-resistant M. odoratimimus strain PR63039 was isolated and its genome sequenced and analyzed. Antimicrobial susceptibility testing was conducted using the Kirby-Bauer disk diffusion method, and the Phoenix-100 Automated Microbiology System with a NMIC/ID-4 panel including aminoglycosides, ß-lactams, polypeptides, quinolones, sulfonamides, chloramphenicols, and tetracyclines. Single-molecule real-time whole genome sequencing was conducted using the PacBio RSII system, and genome annotation was performed using RAST and IMG ER. To characterize the genome features, a number of databases and software programs, including GC-Profile, CG viewer, the VFDB database, ISfinder, RADB, CARD, ResFinder, and PHAST, were used. M. odoratimimus isolate PR63039 was resistant to almost all antibiotics tested, suggesting pan-drug resistance. The genome consisted of a 4,366,950-bp chromosome and a 90,798-bp plasmid (p63039), which contained a large number of resistance genes and virulence factors. The distribution of the resistance genes was distinctive, and a resistance region, designated MY63039-RR, was identified. RAST analysis indicated that 108 of the annotated genes were potentially involved in virulence, disease, and defense, all of which could be associated with resistance and pathogenicity. Prophage analysis also identified two incomplete prophages in the genome of M. odoratimimus PR63039. Multiple antibiotic-resistance genes were identified, including those associated with resistance to tetracycline (tetX), macrolides (ereB, cfrA, lasE), sulfonamides (sul2, sul3), ß-lactams (blaMUS-1, blaTUS-1, blaSFB-1, blaSLB-1, blaOXA-209, blaOXA-347), and chloramphenicol (cat). Further, the presence of 18 antibiotic efflux pump-encoding resistance genes, including acrB, acrD, acrF, adeB, adeG, adeJ, amrB, ceoB, cmeB, mdsB, mexB, mexD, mexF, mtrD, smeE, mdtF, macB, likely accounts for the observed quinolone resistance of strain PR63039. To the best of our knowledge, this is the first report of the presence of the blaSFB-1, blaSLB-1, blaOXA-209, blaOXA-347, and tetX resistance genes in M. odoratimimus.

Antibiotic resistance mechanisms of Myroides sp.

Bacteria of the genus Myroides (Myroides spp.) are rare opportunistic pathogens. Myroides sp. infections have been reported mainly in China. Myroides sp. is highly resistant to most available antibiotics, but the resistance mechanisms are not fully elucidated. Current strain identification methods based on biochemical traits are unable to identify strains accurately at the species level. While 16S ribosomal RNA (rRNA) gene sequencing can accurately achieve this, it fails to give information on the status and mechanisms of antibiotic resistance, because the 16S rRNA sequence contains no information on resistance genes, resistance islands or enzymes. We hypothesized that obtaining the whole genome sequence of Myroides sp., using next generation sequencing methods, would help to clarify the mechanisms of pathogenesis and antibiotic resistance, and guide antibiotic selection to treat Myroides sp. infections. As Myroides sp. can survive in hospitals and the environment, there is a risk of nosocomial infections and pandemics. For better management of Myroides sp. infections, it is imperative to apply next generation sequencing technologies to clarify the antibiotic resistance mechanisms in these bacteria.

Changes in the balance between Treg and Th17 cells in patients with chronic hepatitis B.

The purpose of this study was to explore the role of Treg cells, Th17 cells and cytokines associated with Treg/Th17 differentiation in the occurrence, development and outcome of chronic hepatitis B (CHB). To do so, we detected populations of Treg and Th17 cells and their associated cytokines in the peripheral blood of CHB patients. The populations of Treg cells (CD4(+)CD25(high)CD127(low) T cells) and Th17 cells (CD3(+)CD8(-)IL-17(+) T cells) were analyzed in 46 patients with low to moderate chronic hepatitis B (CHB-LM), 24 patients with severe chronic hepatitis B (CHB-S) and 20 healthy controls (HC) using flow cytometry. The levels of cytokines associated with Treg/Th17 differentiation, including IL-10, TGF-ß1, IL-17 and IL-23, were measured by enzyme-linked immunosorbent assay (ELISA). Our study showed that the imbalance of Treg and Th17 cells might play an important role in the occurrence, development and outcome of CHB.

Dynamic Changes of Treg and Th17 Cells and Related Cytokines Closely Correlate With the Virological and Biochemical Response in Chronic Hepatitis B Patients Undergoing Nucleos(t)ide Analogues Treatment.

BACKGROUND: The restoration of HBV-specific T-cell response during antiviral therapy is associated with CD4+T-cell activity. Treg cells and Th17 cells are subtypes of CD4+T cell. However, it has remained unknown how the Treg and Th17 cells and their associated cytokines affect nucleos(t)ide analogues (NA) antiviral efficacy. OBJECTIVES: The aim of the present study was to provide a new insight to evaluate the NA antiviral therapy for patients with chronic hepatitis B (CHB). PATIENTS AND METHODS: Forty-four CHB patients hospitalized between July 2010 and August 2011 were enrolled in this study. They were received NA (entecavir, lamivudine and adefovir) treatment for 14.42 ± 13.08 weeks, and the peripheral blood was collected. The frequencies of Treg and Th17 cells were detected by flow cytometric analysis, and the levels of IL-10, TGF-ß1, IL-17 and IL-23 were measured by enzyme-linked immunosorbent assay (ELISA). RESULTS: In complete and partial-responders, Treg cells frequencies and IL-10, TGF-ß1, IL-23 levels were all decreased significantly after NA therapy, while Th17 cells and the IL-17 levels were increased slightly. Treg/Th17 ratio was only dramatically declined in complete-responders. But there was no significant difference in non-responders. Either HBV DNA decreased by at least 2 log copies /mL or ALT turned to normal level, Treg cells frequencies and IL-10, TGF-ß1, IL-23 levels were significantly reduced. Meanwhile, Treg cells were positively correlated with HBV DNA and ALT. CONCLUSIONS: The changes of Treg and Th17 cells and their associated cytokines were related to virological and biochemical responses.