• McCann Garcia posted an update 6 months, 2 weeks ago

    Borrelia miyamotoi is a relapsing fever spirochete that can cause chills, fatigue, headache, myalgia, arthralgia, and even meningitis, damaging human health. B. miyamotoi has a wide distribution since its discovery in Ixodes persulcatus in 1994. The human B. miyamotoi disease was first described in Russia in 2011. However, the epidemiological information in China is limited. Here, we report the molecular detection of B. miyamotoi in the northeast of Inner Mongolia, China. A total of 774 adult ticks and 771 blood samples of patients were collected, from April 2017 to August 2019 in the northeast of Inner Mongolia, and tested for B. miyamotoi using real time-PCR. Gene sequences of 16S rRNA, fla, and glpQ were obtained to reconstruct the phylogenetic relationship of B. miyamotoi from humans and ticks. The results showed the total prevalence of B. miyamotoi in ticks was 1.3% of 774 ticks, with rates of 2.6% in I. persulcatus, 0.78% in Dermacentor nuttalli, 1.3% in D. silvarum, and 0.4% in Haemaphysalis longicornis. Thirteen (1.7%) patients were confirmed as positive for B. miyamotoi. Patients were mainly 50-60-years old and had a history of tick contact. They presented flu-like symptoms, including fever, headache, poor spirit, dizziness, nausea, vomiting, hypodynamic, chest distress, and myalgia. Phylogenetic analysis showed that the B. miyamotoi in the present study belonged to the Siberian type, distinct from European and American types and the I. ovatus isolate from Japan. This is the first report of B. miyamotoi detection in both ticks and humans in the northeast of Inner Mongolia, China, indicating B. miyamotoi is present in the area. These findings suggest that people have a risk of infection with B. miyamotoi in this region, where it should be included the differential diagnosis of tick-borne diseases.Pseudomonas aeruginosa (P. aeruginosa) is an important environmental, opportunistic and nosocomial pathogen with a significant threat to public health. The objectives of this study were to determine the in vitro antimicrobial susceptibility patterns of, and antibiotic drug combinations with synergistic effects against P. aeruginosa isolated from drinking water and hospitalized patients in Jordan. A total of 16 P. aeruginosa isolates were obtained from hospitalized patients and 15 were isolated from bottled drinking water were used in the study. Bacterial isolation and identification was performed using routine microbiological methods and confirmed using PCR technique targeting the 16S rDNA gene. The antimicrobial susceptibility patterns were determined by measuring the minimum inhibitory concentration (MIC) using the 2-fold microdilution method. Synergy interaction between various antimicrobials was determined using the checkerboard method and fractional inhibitory concentration index (FICI). The majority of minoglycosides classes. There were no significant differences in the synergistic activities between beta lactams – aminoglycoside and beta lactams – fluoroquinolone combinations. Results of this study indicate an alarming widespread presence of multidrug-resistant P. aeruginosa associated with chronic suppurative infections in hospitalized patients and apparently clean drinking water in Jordan. Treatment of clinical suppurative lesions must be based on culture and in vitro susceptibility testing using potent antimicrobial combinations to avoid emergence of resistant strains and to improve the clinical outcome of treated patients.Eukaryotic cells exploit dynamic and compartmentalized ionic strength to impact a myriad of biological functions such as enzyme activities, protein-protein interactions, and catalytic functions. Herein, we investigated the fluorescence depolarization dynamics of recently developed ionic strength biosensors (mCerulean3-linker-mCitrine) in Hofmeister salt (KCl, NaCl, NaI, and Na2SO4) solutions. The mCerulean3-mCitrine acts as a Förster resonance energy transfer (FRET) pair, tethered together by two oppositely charged α-helices in the linker region. We developed a time-resolved fluorescence depolarization anisotropy approach for FRET analyses, in which the donor (mCerulean3) is excited by 425-nm laser pulses, followed by fluorescence depolarization analysis of the acceptor (mCitrine) in KE (lysine-glutamate), arginine-aspartate, and arginine-glutamate ionic strength sensors with variable amino acid sequences. BMS-986397 nmr Similar experiments were carried out on the cleaved sensors as well as an E6G2 construct, which has neutral α-helices in the linker region, as a control. Our results show distinct dynamics of the intact and cleaved sensors. Importantly, the FRET efficiency decreases and the donor-acceptor distance increases as the environmental ionic strength increases. Our chemical equilibrium analyses of the collapsed-to-stretched conformational state transition of KE reveal that the corresponding equilibrium constant and standard Gibbs free energy changes are ionic strength dependent. We also tested the existing theoretical models for FRET analyses using steady-state anisotropy, which reveal that the angle between the dipole moments of the donor and acceptor in the KE sensor are sensitive to the ionic strength. These results help establish the time-resolved depolarization dynamics of these genetically encoded donor-acceptor pairs as a quantitative means for FRET analysis, which complement traditional methods such as time-resolved fluorescence for future in vivo studies.The totally asymmetric simple exclusion process (TASEP), which describes the stochastic dynamics of interacting particles on a lattice, has been actively studied over the past several decades and applied to model important biological transport processes. Here, we present a software package, called EGGTART (Extensive GUI gives TASEP-realization in Real Time), which quantifies and visualizes the dynamics associated with a generalized version of the TASEP with an extended particle size and heterogeneous jump rates. This computational tool is based on analytic formulas obtained from deriving and solving the hydrodynamic limit of the process. It allows an immediate quantification of the particle density, flux, and phase diagram, as a function of a few key parameters associated with the system, which would be difficult to achieve via conventional stochastic simulations. Our software should therefore be of interest to biophysicists studying general transport processes and can in particular be used in the context of gene expression to model and quantify mRNA translation of different coding sequences.

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