Cryptosporidiosis is a significant diarrheal disease in humans and animals. Immunodeficient mice are the primary small animal models, but their high costs and specialized breeding/housing requirements limit in vivo drug testing. Numerous anticryptosporidial lead compounds identified in vitro remain untested in vivo.
Cryptosporidium tyzzeri, a natural mouse parasite closely related to Cryptosporidium parvum and Cryptosporidium hominis, was isolated to establish an infection model in immunocompetent mice. The model was validated using classic anticryptosporidial drugs (paromomycin and nitazoxanide) and then employed to assess the efficacy of 3 new leads (vorinostat, docetaxel, and baicalein). An in vitro culture of C. tyzzeri was also developed to complement the animal model.
Chronic C. tyzzeri infection was established in chemically immunosuppressed wild-type mice. Paromomycin (1000 mg/kg/d) and nitazoxanide (100 mg/kg/d) demonstrated efficacy against C. tyzzeri. Vorinostat (30 mg/kg/d), docetaxel (25 mg/kg/d), and baicalein (50 mg/kg/d) were highly effective against C. tyzzeri infection. In vitro, nitazoxanide, vorinostat, docetaxel, and baicalein exhibited low to submicromolar efficacy against C. tyzzeri.
Novel in vivo and in vitro models have been developed for cost-effective anticryptosporidial drug testing. Vorinostat, docetaxel, and baicalein show potential for repurposing and/or optimization for developing new anticryptosporidial drugs.

Glycans are promising for disease diagnosis since glycan biosynthesis is significantly affected by disease states, and glycosylation changes are probably more pronounced than protein expression during the transformation to the diseased condition. Glycan-specific aptamers can be developed for challenging applications such as cancer targeting; however, the high flexibility of glycosidic bonds and scarcity of studies on glycan-aptamer binding mechanisms increased the difficulty of screening. In this work, the model of interactions between glycans and ssDNA aptamers synthesized based on the sequence of rRNA genes was developed. Our simulation-based approach revealed that paromomycin as a representative example of glycans is preferred to bind base-restricted stem structures of aptamers because they are more critical in stabilizing the flexible structures of glycans. Combined experiments and simulations have identified two optimal mutant aptamers. Our work would provide a potential strategy that the glycan-binding rRNA genes could act as the initial aptamer pools to accelerate aptamer screening. In addition, this in silico workflow would be potentially applied in the more extensive in vitro development and application of RNA-templated ssDNA aptamers targeting glycans.

Interactions between aminoglycoside antibiotics and the twister ribozyme were investigated in this study. An initial screen of 17 RNA-binding antibiotics showed that a number of aminoglycosides inhibit the ribozyme, while a subset of aminoglycosides enhances twister cleavage. Initial kinetic analysis of the twister ribozyme showed a sevenfold inhibition of ribozyme cleavage by paromomycin and a fivefold enhancement of cleavage by sisomicin. Direct binding between the twister ribozyme RNA and paromomycin or sisomicin was measured by microscale thermophoresis. Selective 2\'-hydroxyl acylation analysed by primer extension shows that both paromomycin and sisomicin induce distinctive tertiary structure changes to the twister ribozyme. Published crystal structures and mechanistic analysis of the twister ribozyme have deduced a nucleobase-mediated general acid-base catalytic mechanism, in which a conserved guanine plays a key role. Here, we show that paromomycin binding induces a structural transition to the twister ribozyme such that a highly conserved guanine in the active site becomes displaced, leading to inhibition of cleavage. In contrast, sisomicin binding appears to change interactions between P3 and L2, inducing allosteric changes to the active site that enhance twister RNA cleavage. Therefore, we show that small-molecule binding can modulate twister ribozyme activity. These results suggest that aminoglycosides may be used as molecular tools to study this widely distributed ribozyme.

We determined the in vitro susceptibility of four aminoglycosides, which are not of the 4,6-disubstituted deoxystreptamine (DOS) subclass against a collection of carbapenem-resistant Enterobacteriaceae (CRE). CRE clinical strains (n = 134) were collected from multiple hospitals in China and carried blaNDM (blaNDM-1, blaNDM-5 or blaNDM-7; n = 66), blaKPC-2 (n = 62) or blaIMP-4 (n = 7; including one carrying blaNDM-1 and blaIMP-4). MICs of neomycin, paromomycin, streptomycin and apramycin as well as three 4,6-disubstituted DOS aminoglycosides (amikacin, gentamicin and tobramycin) were determined using the broth microdilution with breakpoints defined by the Clinical Laboratory Standards Institute (for amikacin, gentamicin and tobramycin), US Food and Drug Administration (streptomycin), the National Antimicrobial Resistance Monitoring System (apramycin) or la Société Française de Microbiologie (neomycin and paromomycin). Apramycin-resistant strains were subjected to whole genome sequencing using Illumina X10 platform. Among CRE strains, 65.7, 64.9, 79.1, and 95.5% were susceptible to neomycin (MIC50/MIC90, 8/256 μg/ml), paromomycin (4/>256 μg/ml), streptomycin (16/256 μg/ml) and apramycin (4/8 μg/ml), respectively, while only 55.2, 28.4, and 35.1% were susceptible to amikacin (32/>256 μg/ml), gentamicin (128/>256 μg/ml) and tobramycin (64/>256 μg/ml), respectively. Six CRE strains including five Escherichia coli of different sequence types and one Klebsiella pneumoniae were resistant to apramycin and the apramycin-resistant gene aac(3)-IVa was detected in all of these strains. In conclusion, neomycin, paromomycin, streptomycin and apramycin retain activity against most CRE strains. Although none of these non-4,6-disubstituted DOS aminoglycosides are suitable for intravenous use in human at present, these agents warrant further investigations to be used against CRE infections.

The study of molecular interactions of drug-protein are extremely important from the biological aspect in all living organisms, and therefore such type of investigation hold a tremendous significance in rational drug design and discovery. In the present study, the molecular interactions between paromomycin (PAR) and human serum albumin (HSA) have been studied by different biophysical techniques and validated by in-silico approaches. The results obtained from Ultraviolet-visible spectroscopy (UV) and Fourier transform infrared spectroscopy (FT-IR) demonstrated a remarkable change upon the complexation of PAR with HSA. Circular Dichroism (CD), Dynamic Light Scattering (DLS) and Resonance Rayleigh scattering (RRS) results revealed a significant secondary structure alteration and reduction of hydrodynamic radii upon the conjugation of PAR with HSA. The fluorescence spectroscopy results also apparently revealed the static quenching mechanism. The number of binding sites, binding constants, and Gibbs free energy values were calculated to illustrate the nature of intermolecular interactions. Similarly, the in-silico docking and molecular dynamics simulation clearly explain the theoretical basis of the binding mechanism of PAR with HSA. The experimental and docking approaches suggested that PAR binds to the hydrophobic cavity site I of HSA. The finding of present investigation will provide binding insight of PAR and associated alterations in the stability and conformation of HSA.

The occurrence of antibiotic-resistant bacteria and antibiotic resistance genes (ARGs) has been intensively investigated for wastewater treatment systems treating single class of antibiotic in recent years. However, the impacts of alternately occurring antibiotics in antibiotic production wastewater on the behavior of ARGs in biological treatment systems were not well understood yet. Herein, techniques including high-capacity quantitative PCR and quantitative PCR (qPCR) were used to investigate the behavior of ARGs in an anaerobic-aerobic full-scale system. The system alternately treated three kinds of antibiotic production wastewater including ribostamycin, spiramycin and paromomycin, which referred to stages 1, 2 and 3. The aminoglycoside ARGs (52.1-79.3%) determined using high-capacity quantitative PCR were the most abundant species in all sludge samples of the three stages. The total relative abundances of macrolide-lincosamide-streptogramin (MLS) resistance genes and aminoglycoside resistance genes measured using qPCR were significantly higher (P < 0.05) in aerobic sludge than in sewage sludge. However, the comparison of ARGs acquired from three alternate stages revealed that MLS genes and the aminoglycoside ARGs did not vary significantly (P > 0.05) in both aerobic and anaerobic sludge samples. In aerobic sludge, one acetyltransferase gene (aacA4) and the other three nucleotidyltransferase genes (aadB, aadA and aadE) exhibited positive correlations with intI1 (r 2 = 0.83-0.94; P < 0.05), implying the significance of horizontal transfer in their proliferation. These results and facts will be helpful to understand the abundance and distribution of ARGs from antibiotic production wastewater treatment systems.

The recent success in ribosome structure determination by cryoEM has opened the door to defining structural differences between ribosomes of pathogenic organisms and humans and to understand ribosome-targeting antibiotics. Here, by direct electron-counting cryoEM, we have determined the structures of the Leishmania donovani and human ribosomes at 2.9 Å and 3.6 Å, respectively. Our structure of the leishmanial ribosome elucidates the organization of the six fragments of its large subunit rRNA (as opposed to a single 28S rRNA in most eukaryotes, including humans) and reveals atomic details of a unique 20 amino acid extension of the uL13 protein that pins down the ends of three of the rRNA fragments. The structure also fashions many large rRNA expansion segments. Direct comparison of our human and leishmanial ribosome structures at the decoding A-site sheds light on how the bacterial ribosome-targeting drug paromomycin selectively inhibits the eukaryotic L. donovani, but not human, ribosome.

The binding of neomycin sulfate (NS)/paromomycin sulfate (PS) with DNA was investigated by fluorescence quenching using acridine orange (AO) as a fluorescence probe. Fluorescence lifetime, FT-IR, circular dichroism (CD), relative viscosity, ionic strength, DNA melting temperature, and molecular docking were performed to explore the binding mechanism. The binding constant of NS/PS and DNA was 6.70 × 103/1.44 × 103 L mol-1 at 291 K. The values of ΔHθ, ΔSθ, and ΔGθ suggested that van der Waals force or hydrogen bond might be the main binding force between NS/PS and DNA. The results of Stern-Volmer plots and fluorescence lifetime measurements all revealed that NS/PS quenching the fluorescence of DNA-AO was static in nature. FT-IR indicated that the interaction between DNA and NS/PS did occur. The relative viscosity and melting temperature of DNA were almost unchanged when NS/PS was introduced to the solution. The fluorescence intensity of NS/PS-DNA-AO was decreased with the increase in the ionic strength. For CD spectra of DNA, the intensity of positive band at nearly 275 nm was decreased and that of negative band at nearly 245 nm was increased with the increase in the concentration of NS/PS. The binding constant of NS/PS with double-stranded DNA (dsDNA) was larger than that of NS/PS with single-stranded DNA (ssDNA). From these studies, the binding mode of NS/PS with DNA was evaluated to be groove binding. The results of molecular docking further indicated that NS/PS could enter into the minor groove in the A-T rich region of DNA.

This is the first report that paromomycin, an antibiotic derived from Streptomyces sp. AG-P 1441 (AG-P 1441), controlled Phytophthora blight and soft rot diseases caused by Phytophthora capsici and Pectobacterium carotovorum, respectively, in chili pepper (Capsicum annum L.). Chili pepper plants treated with paromomycin by foliar spray or soil drenching 7 days prior to inoculation with P. capsici zoospores showed significant (p < 0.05) reduction in disease severity (%) when compared with untreated control plants. The disease severity of Phytophthora blight was recorded as 8% and 50% for foliar spray and soil drench, respectively, at 1.0 ppm of paromomycin, compared with untreated control, where disease severity was 83% and 100% by foliar spray and soil drench, respectively. A greater reduction of soft rot lesion areas per leaf disk was observed in treated plants using paromomycin (1.0 μg/ml) by infiltration or soil drench in comparison with untreated control plants. Paromomycin treatment did not negatively affect the growth of chili pepper. Furthermore, the treatment slightly promoted growth; this growth was supported by increased chlorophyll content in paromomycin-treated chili pepper plants. Additionally, paromomycin likely induced resistance as confirmed by the expression of pathogenesis-related (PR) genes: PR-1, β-1,3-glucanase, chitinase, PR-4, peroxidase, and PR-10, which enhanced plant defense against P. capsici in chili pepper. This finding indicates that AG-P 1441 plays a role in pathogen resistance upon the activation of defense genes, by secretion of the plant resistance elicitor, paromomycin.

Concentration addition (CA) is commonly used as a standard additive reference model to predict the short-term toxicity for most chemical mixtures. Whether CA can predict the long-term toxicity of antibiotic mixtures was investigated. The long-term toxicity of five antibiotics including apramycin sulfate, paromomycin sulfate, tetracycline hydrochloride, chloramphenicol and streptomycin sulfate and their mixtures to a photo bacterium Q67 were detected by the long-term toxicity microplate analysis procedure. Seven five-antibiotic mixtures with various concentration ratios and concentration levels were designed by employing uniform design ray method. The long-term mixture toxicity was predicted by CA based on the toxicity data of single antibiotics. The results showed that Weibull or Logit function fit well with the long-term toxicity data of all the components and their mixtures (R>0.98 and RMSE<0.07). According the toxicity index, the negative logarithm of mean effect concentration, the long-term toxicity of the five antibiotics differs greatly and is higher than their short-term toxicity. The predicted values by CA model conformed to the experimental values of mixtures, which implies CA can predict reliable results for the long-term toxicity of antibiotic mixtures.