Genetic determinants of resistance to antimicrobial therapeutics are rare in publicly available Clostridioides difficile genome sequences.

OBJECTIVES: To determine the frequencies and clonal distributions of putative genetic determinants of resistance to antimicrobials applied for treatment of Clostridioides difficile infection (CDI), as documented in the genomic record. METHODS: We scanned 26 557 C. difficile genome sequences publicly available from the EnteroBase platform for plasmids, point mutations and gene truncations previously reported to reduce susceptibility to vancomycin, fidaxomicin or metronidazole, respectively. We measured the antimicrobial susceptibility of 143 selected C. difficile isolates. RESULTS: The frequency of mutations causing reduced susceptibility to vancomycin and metronidazole, respectively, increased strongly after 2000, peaking at up to 52% of all sequenced C. difficile genomes. However, both mutations declined sharply more recently, reflecting major changes in CDI epidemiology. We detected mutations associated with fidaxomicin resistance in several major genotypes, but found no evidence of international spread of resistant clones. The pCD-METRO plasmid, conferring metronidazole resistance, was detected in a single previously unreported C. difficile isolate, recovered from a hospital patient in Germany in 2008. The pX18-498 plasmid, putatively associated with decreased vancomycin susceptibility, was confined to related, recent isolates from the USA. Phenotype measurements confirmed that most of those genetic features were useful predictors of antibiotic susceptibility, even though ranges of MICs typically overlapped among isolates with and without specific mutations. CONCLUSIONS: Genomic data suggested that resistance to therapeutic antimicrobial drugs is rare in C. difficile. Public antimicrobial resistance marker databases were not equipped to detect most of the genetic determinants relevant to antibiotic therapy of CDI.

Towards the characterization of the hidden world of small proteins in Staphylococcus aureus, a proteogenomics approach.

Small proteins play essential roles in bacterial physiology and virulence, however, automated algorithms for genome annotation are often not yet able to accurately predict the corresponding genes. The accuracy and reliability of genome annotations, particularly for small open reading frames (sORFs), can be significantly improved by integrating protein evidence from experimental approaches. Here we present a highly optimized and flexible bioinformatics workflow for bacterial proteogenomics covering all steps from (i) generation of protein databases, (ii) database searches and (iii) peptide-to-genome mapping to (iv) visualization of results. We used the workflow to identify high quality peptide spectrum matches (PSMs) for small proteins (≤ 100 aa, SP100) in Staphylococcus aureus Newman. Protein extracts from S. aureus were subjected to different experimental workflows for protein digestion and prefractionation and measured with highly sensitive mass spectrometers. In total, 175 proteins with up to 100 aa (SP100) were identified. Out of these 24 (ranging from 9 to 99 aa) were novel and not contained in the used genome annotation.144 SP100 are highly conserved and were found in at least 50% of the publicly available S. aureus genomes, while 127 are additionally conserved in other staphylococci. Almost half of the identified SP100 were basic, suggesting a role in binding to more acidic molecules such as nucleic acids or phospholipids.

Bacterial genome sequencing tracks the housefly-associated dispersal of fluoroquinolone- and cephalosporin-resistant Escherichia coli from a pig farm.

The regular use of antimicrobials in livestock production selects for antimicrobial resistance. The potential impact of this practice on human health needs to be studied in more detail, including the role of the environment for the persistence and transmission of antimicrobial-resistant bacteria. During an investigation of a pig farm and its surroundings in Brandenburg, Germany, we detected abundant cephalosporin- and fluoroquinolone-resistant Escherichia coli in pig faeces, sedimented dust, and house flies (Musca domestica). Genome sequencing of E. coli isolates revealed large phylogenetic diversity and plasmid-borne extended-spectrum beta lactamase (ESBL) genes CTX-M-1 in multiple strains. [Correction added on 28 February 2023, after first online publication: In the preceding sentence, 'and TEM-1' was previously included but has been deleted in this version.] Close genomic relationships indicated frequent transmission of antimicrobial-resistant E. coli between pigs from different herds and across buildings of the farm and suggested dust and flies as vectors for dissemination of faecal pathogens. Strikingly, we repeatedly recovered E. coli from flies collected up to 2 km away from the source, whose genome sequences were identical or closely related to those from pig faeces isolates, indicating the fly-associated transport of diverse ESBL-producing E. coli from the pig farm into urban habitation areas. The observed proximity of contaminated flies to human households poses a risk of transmission of antimicrobial-resistant enteric pathogens from livestock to man.

smORFer: a modular algorithm to detect small ORFs in prokaryotes.

Emerging evidence places small proteins (≤50 amino acids) more centrally in physiological processes. Yet, their functional identification and the systematic genome annotation of their cognate small open-reading frames (smORFs) remains challenging both experimentally and computationally. Ribosome profiling or Ribo-Seq (that is a deep sequencing of ribosome-protected fragments) enables detecting of actively translated open-reading frames (ORFs) and empirical annotation of coding sequences (CDSs) using the in-register translation pattern that is characteristic for genuinely translating ribosomes. Multiple identifiers of ORFs that use the 3-nt periodicity in Ribo-Seq data sets have been successful in eukaryotic smORF annotation. They have difficulties evaluating prokaryotic genomes due to the unique architecture (e.g. polycistronic messages, overlapping ORFs, leaderless translation, non-canonical initiation etc.). Here, we present a new algorithm, smORFer, which performs with high accuracy in prokaryotic organisms in detecting putative smORFs. The unique feature of smORFer is that it uses an integrated approach and considers structural features of the genetic sequence along with in-frame translation and uses Fourier transform to convert these parameters into a measurable score to faithfully select smORFs. The algorithm is executed in a modular way, and dependent on the data available for a particular organism, different modules can be selected for smORF search.

Reverse vaccinology approach for identification of epitopes from E1 protein as peptide vaccine against HCV: A proof of concept.

The development of effective vaccines against Hepatitis C Virus (HCV) remains a global health priority and challenge. In this study, we employed an integrative approach combining computational epitope prediction with experimental validation to identify immunogenic peptides targeting the E1 glycoprotein of HCV. In the present report, computational data from various epitope prediction algorithms such as IEDB and SYFPEITHI, followed by molecular dynamics (MD) simulations and immuno-informatics analysis is presented. Through computational screening, we identified potential epitope candidates, with QVRNSSGLY (P3) and QLFTFSPRH (P7) emerging as promising candidates. MD simulations revealed stable interactions between these epitopes and MHC molecule, further validated by free energy estimations using MMPBSA method. Immuno-informatics analysis supported these findings, showing high binding potential and immunogenicity scores for the selected peptides. Subsequent synthesis and characterization of epitope peptides confirmed their structural integrity and purity required for conducting immune activation assays. Experimental immunological assays carried out in this study involved epitope peptide induced activation of CD8 + and CD4 + T cells from healthy human subjects and HCV- recovered patients. Data from experimental validation revealed significant cytokine release upon exposure to epitope peptides, particularly TNF-a, IL-6, and GM-CSF, indicative of robust immune responses. Notably, peptides P3 and P7 exhibited the most pronounced cytokine induction profiles, underscoring their potential as vaccine candidates. Further investigations addressing the mechanism of action of these epitope peptides under preclinical and clinical settings may help in developing effective vaccine against HCV.

Improvements of weaned pigs barn hygiene to reduce the spread of antimicrobial resistance.

The spread of antimicrobial resistance (AMR) in animal husbandry is usually attributed to the use of antibiotics and poor hygiene and biosecurity. We therefore conducted experimental trials to improve hygiene management in weaned pig houses and assessed the impact on the spread. For each of the two groups examined, the experimental group (EG) and the control group (CG), three replicate batches of piglets from the same pig breeder, kept in pre-cleaned flat decks, were analyzed. In the flat decks of the experimental groups, the hygiene conditions (cleaning, disinfection, dust removal and fly control) were improved, while regular hygiene measures were carried out in the control groups. The occurrence and spread of AMR were determined in Escherichia coli (E. coli; resistance indicator) using cultivation-dependent (CFU) and -independent (qPCR) methods as well as whole genome sequencing of isolates in samples of various origins, including feces, flies, feed, dust and swabs. Surprisingly, there were no significant differences (p > 0.05) in the prevalence of resistant E. coli between the flat decks managed with conventional techniques and those managed with improved techniques. Selective cultivation delivered ampicillin- and sulfonamide-resistant E. coli proportions of up to 100% and 1.2%, respectively. While 0.5% E. coli resistant to cefotaxime and no ciprofloxacin resistance were detected. There was a significant difference (p < 0.01) in the abundance of the blaTEM-1 gene in fecal samples between EG and CG groups. The colonization of piglets with resistant pathogens before arrival, the movement of flies in the barn and the treatment of bacterial infections with antibiotics obscured the effects of hygiene improvement. Biocide tolerance tests showed no development of resistance to the farm regular disinfectant. Managing hygiene alone was insufficient for reducing antimicrobial resistances in piglet rearing. We conclude that the complex factors contributing to the presence and distribution of AMR in piglet barns underscore the necessity for a comprehensive management strategy.

Molecular elucidation of pancreatic elastase inhibition by baicalein.

The serine protease, elastase exists in various forms and plays diverse roles in the human body. Pharmacological inhibition of elastase has been investigated for its therapeutic role in managing conditions such as diabetes, pneumonia and arthritis. Sivelestat, a synthetic molecule, is the only elastase inhibitor to have been approved by any major drug regulatory authority (PMDA, in this case) - but still has failed to attain widespread clinical usage owing to its high price, cumbersome administration and obscure long-term safety profile. In order to find a relatively better-suited alternative, screening was conducted using plant flavonoids, which yielded baicalein, a molecule that showed robust inhibition against Pancreatic Elastase inhibition (IC50: 3.53 µM). Other than having a considerably lower IC50than sivelestat, baicalein is also cheaper, safer and easier to administer. While MicroScale Thermophoresis validated baicalein-elastase interaction, enzyme-kinetic studies, molecular docking and molecular dynamic simulation revealed the mode of inhibition to be non-competitive. Baicalein exhibited binding to a distinct allosteric site on the enzyme. The current study demonstrates the elastase inhibition properties of baicalein in an in-vitro and in-silico environment.Communicated by Ramaswamy H. Sarma.

Known compounds and new lessons: structural and electronic basis of flavonoid-based bioactivities.

Flavonoids correspond to a major class of polyphenolic phytochemicals with flavone as major parent scaffold. This class of compounds is attributed with very rich nutritional as well as therapeutic values. The present study focuses on a panel of 16 flavonoid molecules that are demonstrated to exhibit various bioactivities like anti-angiogenic, anti-inflammatory as well as possess antioxidant potential. The electronic basis of these bioactivities is rarely explored, and structural basis of flavonoid-induced cyclooxygenase (COX) inhibition has still remained an uncharted area. The current report thus focuses on providing an electronic explanation of these bioactivities using density functional theory-based quantum chemical descriptors. We also attempt to provide a structure-activity relation model for COX by inhibition of these 16 flavonoids using molecular docking. Here, we report molecular dynamics data from 16 flavonoid-COX-2 complexes performed for 50 nanoseconds each that demonstrates key structural and dynamic aspects of flavonoid-based COX inhibition in light of observed experimental facts. Interaction analysis and evaluation of side-chain dynamics presented in current study are well in agreement with the empirical study and is hoped to pave new avenues towards design and development of COX-2 selective chemical agents. Abbreviations2'HFN-2'hydroxy flavonone2D2 dimension3D3 dimension3H7MF3-hydroxy-7-methoxy flavone4'HFN-4'hydroxy flavonone4'MF- 4'methoxy flavone7HFN7-hydroxy flavononeCHARMMChemistry at Harvard Macromolecular MechanicsCOXcyclooxygenaseCOX-1cyclooxygenase-1COX-2cyclooxygenase-2DMdipole momentDPPH- 2, 2diphenyl-1-picryl hydrazineEAelectron affinitiesEGFRepidermal growth factor receptorE-HOMOHighest occupied molecular orbital energyE-LUMOLowest unoccupied molecular orbital energyEPAeicosapentaenoic acidFROG2FRee Online druG conformation generationGAGenetic AlgorithmGROMACSGROningen MAchine for Chemical SimulationsHOMOHighest occupied molecular orbitalIPIonization potentialLOMOLowest unoccupied molecular orbitalMDMolecular dynamicsMOMolecular orbitalNAMDNanoscale Molecular DynamicsNSAIDsNon-Steroidal Anti Inflammatory DrugsNsnanosecondsNVEEnsemble-constant-energy, constant-volume, Constant particle ensemblePDB-IDProtein Data Bank IdentifierPMEParticle Mesh EwaldPyRXPython PrescriptionRMSDRoot-Mean-Square DeviationRMSFRoot-Mean-Square FluctuationRLSreactive lipid speciesROSReactive Oxygen SpeciesSASAsolvent accessible surface areaSMILESsimplified molecular-input line-entry systemSORsuperoxide anion radicalUFFUniversal force fieldVEGFvascular endothelial growth factorVEGFRvascular endothelial growth factor receptorVMDVisual molecular dynamicsCommunicated by Ramaswamy H. Sarma.

An in silico approach in identification of drug targets in Leishmania: A subtractive genomic and metabolic simulation analysis.

Leishmaniasis is one of the major health issue in developing countries. The current therapeutic regimen for this disease is less effective with lot of adverse effects thereby warranting an urgent need to develop not only new and selective drug candidates but also identification of effective drug targets. Here we present subtractive genomics procedure for identification of putative drug targets in Leishmania. Comprehensive druggability analysis has been carried out in the current work for identified metabolic pathways and drug targets. We also demonstrate effective metabolic simulation methodology to pinpoint putative drug targets in threonine biosynthesis pathway. Metabolic simulation data from the current study indicate that decreasing flux through homoserine kinase reaction can be considered as a good therapeutic opportunity. The data from current study is expected to show new avenue for designing experimental strategies in search of anti-leishmanial agents.

FlavoDb: a web-based chemical repository of flavonoid compounds.

There are many online resources that focus on chemical diversity of natural compounds, but only handful of resources exist that focus solely on flavonoid compounds and integrate structural and functional properties; however, extensive collated flavonoid literature is still unavailable to scientific community. Here we present an open access database 'FlavoDb' that is focused on providing physicochemical properties as well as topological descriptors that can be effectively implemented in deducing large scale quantitative structure property models of flavonoid compounds. In the current version of database, we present data on 1, 19,400 flavonoid compounds, thereby covering most of the known structural space of flavonoid class of compounds. Moreover, effective structure searching tool presented here is expected to provide an interactive and easy-to-use tool for obtaining flavonoid-based literature and allied information. Data from FlavoDb can be freely accessed via its intuitive graphical user interface made available at following web address: http://bioinfo.net.in/flavodb/home.html.

FilTer BaSe: A web accessible chemical database for small compound libraries.

Finding novel chemical agents for targeting disease associated drug targets often requires screening of large number of new chemical libraries. In silico methods are generally implemented at initial stages for virtual screening. Filtering of such compound libraries on physicochemical and substructure ground is done to ensure elimination of compounds with undesired chemical properties. Filtering procedure, is redundant, time consuming and requires efficient bioinformatics/computer manpower along with high end software involving huge capital investment that forms a major obstacle in drug discovery projects in academic setup. We present an open source resource, FilTer BaSe- a chemoinformatics platform (http://bioinfo.net.in/filterbase/) that host fully filtered, ready to use compound libraries with workable size. The resource also hosts a database that enables efficient searching the chemical space of around 348,000 compounds on the basis of physicochemical and substructure properties. Ready to use compound libraries and database presented here is expected to aid a helping hand for new drug developers and medicinal chemists.