Antibiotic Nitrofurantoin Research Articles

A Multicenter Prospective Cohort Study of Antibiotics for OnabotulinumtoxinA.

Urinary tract infection (UTI) is the most common complication of intradetrusor onabotulinumtoxinA (BTX-A) injection. Despite this, there are no evidence-based guidelines on antibiotic prophylaxis. Our primary aim was to determine whether antibiotic prophylaxis decreased symptomatic, culture-proven UTI rates within 6 weeks of intradetrusor BTX-A injection. Our secondary aims were to determine if there are differences between antibiotic regimens and to identify risk factors for developing a UTI. This was a prospective, observational multicenter cohort study of female patients receiving BTX-A for idiopathic overactive bladder. We compared patients who received antibiotics (nitrofurantoin or trimethoprim-sulfamethoxazole) to those who did not. To detect a 15% difference in UTI rates between groups (80% power, alpha = 0.05), 270 participants were needed. A total of 282 participants ultimately received BTX-A and were included in the analysis. One hundred eighty-one (62.6%) were in the antibiotic cohort and 101 (35.8%) were in the no-antibiotic cohort. The overall rate of symptomatic, culture-proven UTI was 12.1%, and there was no difference between the antibiotic and no-antibiotic cohort (10.6% vs 14.9%, respectively; P = 0.29). On multivariable logistic regression, UTI was associated with older age (adjusted odds ratio [aOR], 1.07; 95% CI, 1.02-1.11), BTX-A dose of 200 units (aOR, 4.24; 95% CI, 1.45-12.35), and self-catheterization (aOR, 26.0; 95% CI, 3.62-186.5). The odds of symptomatic UTI were lower among postmenopausal participants (aOR, 0.13; 95% CI, 0.02-0.68) and participants in the Northeast United States (aOR, 0.23; 95% CI, 0.08-0.72). Our study did not find a lower rate of symptomatic, culture-proven UTI among participants who took antibiotics compared with those who did not.

Synthesis and structure of an aqueous stable Cu(II)-based coordination polymer with multifunctional fluorescence sensing property

Advanced methods for both biological and environmental hazardous pollutants are of sustained interest. Herein, a new coordination polymer, namely, [Cu2(OH)(1,2,4-bca)(bmoe)]·H2O (Cu-CP) has been hydrothermally constructed with a mix-ligand strategy, employing 1,2,4-benzenetricarboxylic acid (1,2,4-bca) and 1,1′-bis(1H-benzimidazolyl) oxydiethane (bmoe) as organic ligands. The intrinsic strong blue-light emission and the great stability in water solutions with the broad range of pH values (pH = 4 − 12) of Cu-CP provide a platform for practical fluorescence sensing application in water samples. Fluorescence measurements reveal that Cu-CP displays interesting multi-responsive dection activities toward toxic heavy-metal ions Cr2O72- / CrO42− / MnO4−, nitrofuran antibiotics nitrofurantoin (NFT) / nitrofurazone (NFZ) and acetylacetone (ACAC) in aqueous solutions achieving both high sensitivity and low detection limits (micromolar for Cr(VI) / Mn(VII) / ACAC and nanomolar for NFT / NFZ). Furthermore, the interference experiments have verified its excellent selectivity. A synergetic contribution of internal filtration effect (IFE) and Förster resonance energy transfer (FRET) between Cr2O72- / CrO42− / MnO4− and the framework of Cu-CP realize the fluorescence quenching behavior for Cr(VI) / Mn(VII) detection, while FRET, IFE and photoinduced electron transfer (PET) mechanisms are synergistically responsible in the case of NFT / NFZ, ACAC sensing supported by the molecular simulations and UV−vis spectral overlap experiments. This present work affords precious guidance for the effective and facile design and preparation of multifunctional luminescent coordination polymers with promising performance.

Assessment of Antimicrobial Resistance and Susceptibility Pattern of UTI-causing Microorganisms in Southern Punjab, Pakistan

Background: Bacterial resistance against antibiotics has become a global challenge and measures are needed to stop this. The aim of this study is to highlight this problem and to determine the antibiotic susceptibility pattern of organisms in Southern Punjab, Pakistan. Method: This descriptive cross-sectional study was conducted in Sheikh Zayed Medical Hospital, Rahim Yar Khan. The urine samples obtained from 4 different wards were sent for culture and sensitivity analysis. 9 antibiotics (Nitrofurantoin, Fosfomycin, Ciprofloxacin, Ceftriaxone, Trimethoprim-Sulfamethoxazole, Norfloxacin, Linezolid, Amoxicillin, and Imipenem) were tested against 5 isolated strains of uropathogens using Kirby Bauer disk diffusion test. The sensitivity reports were obtained, and data points were entered into a spreadsheet and analysed using SPSS. Results: Out of 101 samples of uropathogens that showed positive growths (42.08%), 53 (52.4%) were from male patients and 48 (47.5%) positive growths were from females. Escherichia Coli had the highest positive growths (58%) followed by Pseudomonas (19%) Klebsiella (13%), Staphylococcus Aureus (7%) and Coagulase-negative staphylococci (3%). Imipenem was the most sensitive drug whereas the highest resistance by organisms was developed against TMP-SMX. No significant association(p>0.05) was found between any of the anti-microbial drugs and Escherichia coli, gram-positive uropathogens, and gram negative uropathogens. Conclusion: The high increasing rate of broad-spectrum antibiotics resistance suggests that diagnostic and culture tests should be encouraged in hospitals. Based on these test results, appropriate antibiotics should be prescribed. The limitations include the inability to distinguish between nosocomial and community-acquired urinary tract infections and also did not consider other demographic factors like age.

Sonochemically Synthesised Nano‐Stone Structured Vanadium Tungstate for Electrochemical Monitoring of Antibiotic Drug Nitrofurantoin in Real Samples

AbstractThe development of simple, accurate, responsive, and selective antimicrobial drug analysis platforms is extremely important for biomedical research. Developing a novel electrode material that possesses low detection limit, high sensitivity, and stability continues to be a difficult undertaking. Here, vanadium tungstate nanostones (VWNs) were synthesized by utilizing facile sonochemical method with the aid of urea and ethylene glycol for application in electrochemical sensing of antibiotic drug nitrofurantoin (NFT). Using a distinct analytical methods, the structural and morphological characteristics of the as‐prepared transducer material were described. Further, electrochemical behaviour of modified electrode were analysed using cyclic voltammetry and liner sweep voltammetry. Under the optimal conditions VWNs/GCE electrode exhibited superior electrocatalytic activity towards NFT with linear range (20–160 μM), limit of detection (0.019 μM) with better sensitivity (0.69 μM−1 cm−2). The modified electrode demonstrated remarkable repeatability, reproducibility, and excellent stability, indicating its potential as an electrocatalyst. Ultimately, the suggested electrode was used to measure FLT in real samples like tap water and NFT capsule.

Effectiveness of selective antibiotics use in ESBL-related UTIs

BackgroundUrinary tract infections (UTIs) are the second most common infection, affecting 150 million people each year worldwide. Enterobacteriaceae species expressing extended-spectrum β-lactamases (ESBLs) are on the rise across the globe and are becoming a severe problem in the therapeutic management of clinical cases of urinary tract infection. Knowledge of the prevalence and antibiogram profile of such isolates is essential to develop an appropriate treatment methodology. This study aimed to investigate the prevalence of Enterobacteriaceae isolates exhibiting ESBL and their selective oral antibiogram profile at the district general hospital, Polonnaruwa.ResultsA total of 4386 urine specimens received to the Microbiology Laboratory during the study period. Among them, 1081 (24.6%) showed positive results for urine culture while 200/1081 specimens showed ESBL isolates. Out of the selected 200 specimen’s majority (67.5%) of samples received from the In-Patient Department. There were 200 patients and reported that 115 (57.5%) were females and 85 (42.5%) were males. The majority (51%) of the patients belong to the age group of 55–74 years. Among the ESBLs positive specimens, the majority 74.5% (n = 149) identified organisms were E. coli followed by Klebsiella spp.17.5% (n = 35), Enterobacteriaceae 7% (n = 14) and only1% (n = 2) isolate of Proteus spp. Mecillinam (87.92%) and Nitrofurantoin (83.2%) showed higher effectiveness against E. coli. Nitrofurantoin showed the highest effectiveness against Klebsiella spp. (40%), other Enterobacteriaceae spp. (100%). Proteus spp. showed 100% effectiveness and resistance respectively against Ciprofloxacin, Cotrimoxazole and Nitrofurantoin.ConclusionThe most predominant ESBLs producing uro-pathogen was the E. coli in the study setting and E. coli had higher sensitivity rate against Mecillinam. Among currently used oral antibiotics Nitrofurantoin was the best choice for UTIs caused by ESBL producers.

Reassessing the management of uncomplicated urinary tract infection: A retrospective analysis using machine learning causal inference.

Uncomplicated urinary tract infection (UTI) is a common indication for outpatient antimicrobial therapy. National guidelines for the management of uncomplicated UTI were published by the Infectious Diseases Society of America in 2011, however it is not fully known the extent to which they align with current practices, patient diversity, and pathogen biology, all of which have evolved significantly in the time since their publication. We aimed to re-evaluate efficacy and adverse events for first-line antibiotics (nitrofurantoin, and trimethoprim-sulfamethoxazole), versus second-line antibiotics (fluoroquinolones) and versus alternative agents (oral β-lactams) for uncomplicated UTI in contemporary clinical practice by applying machine learning algorithms to a large claims database formatted into the Observational Medical Outcomes Partnership (OMOP) common data model. Our primary outcome was a composite endpoint for treatment failure, defined as outpatient or inpatient re-visit within 30 days for UTI, pyelonephritis or sepsis. Secondary outcomes were the risk of 4 common antibiotic-associated adverse events: gastrointestinal symptoms, rash, kidney injury and C. difficile infection. We adjusted for covariate-dependent censoring and treatment indication using a broad set of domain-expert derived features. Sensitivity analyses were conducted using OMOP-learn, an automated feature engineering package for OMOP datasets. Our study included 57,585 episodes of UTI from 49,037 patients. First-line antibiotics were prescribed in 35,018 (61%) episodes, second-line antibiotics were prescribed in 21,140 (37%) episodes and alternative antibiotics were prescribed in 1,427 (2%) episodes. After adjustment, patients receiving first-line therapies had an absolute risk difference of -2.1% [95% CI -2.9% to -1.6%] for having a revisit for UTI within 30 days of diagnosis relative to second-line antibiotics. First-line therapies had an absolute risk difference of -6.6% [95% CI -9.4% to -3.8%] for 30-day revisit compared to alternative β-lactam antibiotics. Differences in adverse events were clinically similar between first and second line agents, but lower for first-line agents relative to alternative antibiotics (-3.5% [95% CI -5.9% to -1.2%]). Results were similar for models built with OMOPlearn. Our study provides support for the continued use of first-line antibiotics for the management of uncomplicated UTI. Our results also provide proof-of-principle that automated feature extraction methods for OMOP formatted data can emulate manually curated models, thereby promoting reproducibility and generalizability.

Construction of a New 2D Coordination Polymer: Degradation Antibiotic Nitrofurantoin and Magnetism

ABSTRACTThe synthesis of a trinuclear Co(II)‐based coordination polymer (CP), [Co3(HL)2(H2O)6·2.2H2O]n (1), was achieved via a solvothermal method involving CoCl2·6H2O and 3‐(2,4‐dicarboxylphenyl)‐2,6‐dicarboxylpyridine (H3L). The photocatalytic efficiency of the complex was evaluated for the degradation of various antibiotics ornidazole (ODZ), nitrofurantoin (NFT), dinitroaniline (DNZ), and tinidazole (TDZ) in wastewater. Notably, NFT exhibited a remarkable 91.5% degradation within 20 min under optimal conditions. The catalytic performance was influenced by the amount of photocatalyst, NFT concentration, and solution pH, with optimal conditions identified at 6‐mg catalyst dose, 30 mg/L NFT concentration, and pH 7. Trapping experiments highlighted the roles of superoxide and hydroxyl radicals as primary active species in the photocatalytic process. Furthermore, the magnetic behavior is also discussed in detail.

Predicting antibiotic susceptibility in urinary tract infection with artificial intelligence-model performance in a multi-centre cohort.

To develop an artificial intelligence model to predict an antimicrobial susceptibility pattern in patients with urinary tract infection (UTI). 26 087 adult patients with culture-proven UTI during 2015-2020 from a university teaching hospital and three community hospitals in Hong Kong were included. Cases with asymptomatic bacteriuria (absence of diagnosis code of UTI, or absence of leucocytes in urine microscopy) were excluded. Patients from 2015 to 2019 were included in the training set, while patients from the year 2020 were included as the test set.Three first-line antibiotics were chosen for prediction of susceptibility in the bacterial isolates causing UTI: namely nitrofurantoin, ciprofloxacin and amoxicillin-clavulanate. Baseline epidemiological factors, previous antimicrobial consumption, medical history and previous culture results were included as features. Logistic regression and random forest were applied to the dataset. Models were evaluated by F1-score and area under the curve-receiver operating characteristic (AUC-ROC). Random forest was the best algorithm in predicting susceptibility of the three antibiotics (nitrofurantoin, amoxicillin-clavulanate and ciprofloxacin). The AUC-ROC values were 0.941, 0.939 and 0.937, respectively. The F1 scores were 0.938, 0.928 and 0.906 respectively. Random forest model may aid judicious empirical antibiotics use in UTI. Given the reasonable performance and accuracy, these accurate models may aid clinicians in choosing between different first-line antibiotics for UTI.

Molecular Detection of the mecA and some Virulence Determinants in Methicillin-Resistant Staphylococcus aureus

Background: Methicillin Resistant Staphylococcus aureus (MRSA) is globally acknowledged as a prominent contributor to both hospital-acquired and community infections. Understanding key virulence factors including coagulase production, hemolysis ability and biofilm formation, is crucial. Objective: The study aimed to establish a molecular characterization of mecA gene and virulence factors genes (hla, icaA, and coa) in clinical isolates of MRSA obtained from two hospitals in Baghdad. Materials and Methods: A hundred and five isolates were obtained from clinical sources from November 2022 to March 2023 and their antibiotic sensitivity was assessed using the agar diffusion test against seven different antibiotics (Azithromycin, Ciprofloxacin, Nitrofurantoin, Rifampin, Trimethoprim, Ofloxacin and Oxacillin), through Conventional Polymerase Chain Reaction, the presence of virulence factor genes including mecA, hla, icaA, and coa, was determined in MRSA isolates. Results: All MRSA isolates (100%) harbored the mecA, hla, and icaA genes while the coa gene was recognized in 50% of the isolates. Regarding antibiotic susceptibility, all MRSA isolates (100%) demonstrated sensitivity to Nitrofurantoin. Additionally, 96.8% of the isolates were sensitive to Oxacillin. Conclusion: Molecular detection of methicillin resistance genes and virulence genes can be used to diagnose MRSA isolates in hospitals. The presence of these genes may affect their pattern of sensitivity to antibiotics.

Stable Cd(II)-based coordination polymer as a multifunctional fluorescent sensor for ascorbic acid, acetylacetone and nitrofuran antibiotics

The concentrations of hazardous volatile organic compounds (VOCs), pharmaceutical antibiotics and biomolecules in water systems are closely related with public health and ecological security. Thus, the convenient and accurate detection of these harmful items can not only reflect the state of human health but also evaluate the level of homologous contamination in the environment. To this end, a new Cd(II)-CP ({[Cd3L2(bmoe)]·DMF}n) with excellent luminescence properties was designed by employing the semi-rigid tricarboxylic acid 4-(2′,3′-dicarboxylphenoxy) (H3L) and N-donor ligand 1,1′-bis(1H-benzimidazolyl) oxydiethane (bmoe). The as-prepared Cd-CP features the unique uninodal sql topology. Benefiting from its great stability in the aqueous system, Cd-CP serves as a versatile multifunctional fluorescent sensor for different analytes, ascorbic acid (AA), nitrofuran antibiotics nitrofurantoin (NFT) and nitrofurazone (NFZ) and acetylacetone (ACAC). The established methods are characterized with impressive low detection limits, ultrafast response time, high sensitivity, strong anti-interference ability, as well as reliable reproducibility. Experimental and theoretical calculation reveals that the collaborative effects of Förster resonance energy transfer (FRET), inner-filter effect (IFE) and photoinduced electron transfer (PET) are the most probable causes behind the quenching of the CP's fluorescence signal.

A new Ag‐based photocatalyst for efficient degradation of antibiotic nitrofurantoin

In this paper, a new 0D Ag(I)‐based coordination polymer [Ag2(dib)(H2L)2](1) is proposed as a photocatalyst for the photocatalytic degradation of nitrofurantoin (NFT) under ultraviolet irradiation. The catalytic 1 was analyzed by various methods such as PXRD, SEM, FT‐IR, TGA, UV–vis, DRS, and electrochemical tests. The experimental result shows that 1 is an n‐type semiconductor, which can effectively catalyze the photodegradation of NFT under ultraviolet irradiation. Under the optimal reaction conditions, the photodegradation rate of NFT was 97.95% within 60 min when the concentration of NFT was 30 ppm. The experiment of free radical capture shows that O2˙− is the main active substance for photodecomposition, and the possible mechanism of 1 catalytic degradation of NFT is proposed. This research will lay the foundation for Ag(I)‐based coordination polymers in the field of antibiotic photocatalytic degradation.

A fluorescent MOF and its synthesized MOF@cotton composite: Ratiometric sensing of vitamin B2 and antibiotic drug molecule

Here, we demonstrated the synthesis of a zinc based luminescent MOF, 1 (NDC = 2,6- naphthalenedicarboxylate) for the ratiometric detection of biomarker riboflavin (RBF; vitamin B2) in water dispersed medium. Further, this MOF detected two other antibiotic drug molecules, nitrofurantoin (NFT) and nitrofurazone (NZF). The detection of these analytes is very quick (∼seconds), and the limit of detection (LOD) for RBF, NZF and NFT are calculated as 16.58 ppm, 47.63 ppb and 56.96 ppb, respectively. The detection of these analytes was also comprehended by solid, solution, cost-effective paper strip method i.e., triphasic identification capabilities. The sensor is reusable without losing its detection efficacy. The sensor further showed the recognition abilities of these antibiotics in real field samples (river water, urine and tablet) and RBF in vitamin B2 pills and food samples (milk and cold drinks). The sensing merit of 1 urged us to fabricate of 1@cotton fabric composite, which exhibited the colorimetric detection of these analytes. In-depth experimental analysis suggested that the occurrence of photo-induced electron transfer (PET), fluorescence resonance energy transfer (FRET), and the inner filter effect (IFE) are the possible sensing mechanisms for the recognition of the antibiotics drug. The FRET mechanism is responsible for the recognition of RBF. The sensing mechanism is further supported by the theoretical analysis and the excited lifetime measurement.

Evaluation of the probiotic potential of yeast isolated from kombucha in New Zealand

The current study investigated the in vitro probiotic potential of yeast isolated from kombucha, a tea beverage fermented with a symbiotic culture of acetic acid bacteria and yeast. A total of 62 yeast strains were previously isolated from four different commercial kombucha samples sold in New Zealand. Fifteen representative isolates belonging to eight different species were evaluated for their growth under different conditions (temperature, low pH, concentrations of bile salts, and NaCl). Cell surface characteristics, functional and enzymatic activities of the selected strains were also studied in triplicate experiments. Results showed that six strains (Dekkera bruxellensis LBY1, Sachizosaccharomyces pombe LBY5, Hanseniaspora valbyensis DOY1, Brettanomyces anomalus DOY8, Pichia kudraivzevii GBY1, and Saccharomyces cerevisiae GBY2) were able to grow under low-acid conditions (at pH 2 and pH 3) and in the presence of bile salts. This suggests their potential to survive passage through the human gut. All 15 strains exhibited negative enzymatic activity reactions (haemolytic, gelatinase, phospholipase, and protease activities), and thus, they can be considered safe to consume. Notably, two of the fifteen strains (Pichia kudraivzevii GBY1 and Saccharomyces cerevisiae GBY2) exhibited desirable cell surface hydrophobicity (64.60–83.87%), auto-aggregation (>98%), co-aggregation, resistance to eight tested antibiotics (ampicillin, chloramphenicol, colistin sulphate, kanamycin, nalidixic acid, nitrofurantoin, streptomycin, and tetracycline), and high levels of antioxidant activities (>90%). Together, our data reveal the probiotic activities of two yeast strains GBY1 and GBY2 and their potential application in functional food production.

Prescription pattern of antibiotics in urinary tract infection based on antimicrobial susceptibility test at a tertiary care hospital

Introduction: Urinary tract infection is a common bacterial infection associated with significant morbidity, mortality, and financial burden. This study aimed to identify the causative bacteria, assess their antimicrobial susceptibility patterns and evaluate empirical and definitive antibiotic therapy for urinary tract infection. Methods: A hospital-based crosssectional study was conducted at the outpatient medicine department at a teaching hospital in Nepal from February 15 to July 14, 2022. Two hundred participants with positive urine cultures and antimicrobial susceptibility testing were included. The microorganism causing urinary tract infection and prescription pattern of antibiotics pre-and post-AST report were analyzed. Results: The majority of isolated pathogens were gram-negative bacteria (73%), with Escherichia coli being the most common (53.5%), followed by Staphylococcus aureus among gram-positive bacteria (14.5%). Female patients had a higher incidence of urinary tract infection (59.5%) than males (40.5%). The age group above 60 years had the highest occurrence (34%). Antibiotic susceptibility testing revealed that Escherechia coli exhibited higher sensitivity to nitrofurantoin, amikacin, and meropenem, while resistance was observed against ampicillin, cefixime, and norfloxacin. Empirical antibiotics were commonly prescribed, with levofloxacin and ceftriaxone being the most frequent choices. After antibiotic susceptibility testing, nitrofurantoin and levofloxacin were frequently prescribed. Conclusions: This study provides valuable insights into the etiology of urinary tract infection and antibiotic susceptibility patterns, aiding in selecting appropriate antimicrobial therapy based on local resistance patterns.

OVERVIEW OF BACTERIAL PATTERNS IN TABANAN GENERAL HOSPITAL

AbstractBackground: Resistant bacterial infections will affect the results of therapy, costs, spread of disease, and duration of illness. To minimize the losses incurred, it is necessary to monitor resistant bacterial and the use of antibiotics. Objective: To be able to identify, monitor, map and overcome antibiotic resistance and restrict bacterial transmission in hospitals, especially at the Tabanan General Hospital. Method: This research was conducted using a cross-sectional method using samples of inpatients and outpatients sent by clinicians to the Clinical Pathology Laboratory, Microbiology Sub Lab in period of January to December 2022. Results: Of the 590 positive culture samples in 2022, the majority were caused by Escherichia coli (15.25%) and 62.22% were ESBL. Apart from that, 8.31% were found to be Staphylococcus aureus and 53.06% were MRSA. Conclusion: The percentage of Escherichia coli bacteria that produce the ESBL enzyme is still high (62.22%). The percentage of Staphylococcus aureus bacteria that produce the MRSA enzyme is still high (53.06%). The antibiotics Meropenem, Amikacin, and Tigecycline are the antibiotics with the highest sensitivity to ESBL. The antibiotics Nitrofurantoin, Linezolid, and Quinupristin/Dalfopristin are the antibiotics with the highest sensitivity to MRSA. Keywords: bacterial patterns, description of bacterial distribution, antibiotic resistance

Genetic and functional enrichments associated with Enterococcus faecalis isolated from the urinary tract.

Urinary tract infection (UTI) is a global health issue that imposes a substantial burden on healthcare systems. Women are disproportionately affected by UTI, with >60% of women experiencing at least one UTI in their lifetime. UTIs can recur, particularly in postmenopausal women, leading to diminished quality of life and potentially life-threatening complications. Understanding how pathogens colonize and survive in the urinary tract is necessary to identify new therapeutic targets that are urgently needed due to rising rates of antimicrobial resistance. How Enterococcus faecalis, a bacterium commonly associated with UTI, adapts to the urinary tract remains understudied. Here, we generated a collection of high-quality closed genome assemblies of clinical urinary E. faecalis isolated from the urine of postmenopausal women that we used alongside detailed clinical metadata to perform a robust comparative genomic investigation of genetic factors that may be involved in E. faecalis survival in the urinary tract.

Study of the prevalence and antibiotics susceptibility patterns in clinically significant isolates among urine sample in a tertiary care centre

Urinary tract infections (UTIs) are prevalent bacterial infections. Gram-negative bacilli are frequently isolated as the causative pathogens in UTIs, and antibiotics are commonly used to treat them. However, the overuse of antibiotics has led to the development of resistance in some uropathogens. : To find the prevalence and antimicrobial susceptibility patterns in clinically significant isolates among urine sample in a tertiary care centre.: Fresh mid-stream urine samples were collected aseptically in sterile containers. The samples were inoculated on 5% sheep blood agar and MacConkey agar. The isolates were identified to the species level using biochemical tests/Vitek 2 compact.: A total of 5847 specimens were examined for significant bacteriuria, out of which 1160 showed bacterial growth in urine cultures. The most commonly isolated pathogens were (57.67%) and (18.63%). The antibiotics aminoglycosides (84%), carbapenems (79%), and nitrofurantoin (63%) displayed a high rate of sensitivity against these pathogens.: Due to the variability of drug sensitivity among bacterial pathogens over time, regular surveillance and monitoring are essential to provide physicians with updated information for the most effective empirical treatment of UTIs.

Investigation of papA, papC, and papG virulence genes revealed their association with antimicrobial resistance among uropathogenic Escherichia coli strains isolated from patients in Thi-Qar province, Iraq

Infection of the urinary tract is one of the more common infections in the people of the world, which is more common in women due to the anatomical structure of the woman's body. The main cause of this infection is uropathogenic E. coli, followed by Klebsiella pneumoniae. This disease is controlled and treated by antibiotics, but one of the most important concerns in today's world is the spread of antibiotic resistance in different strains of bacteria. This resistance to antibiotics is caused by specific genes that increase the number of these identified genes every day. This study aims to find the frequency of three coding genes related to p fimbriae, namely papA, papC, and papG, from E. coli strains extracted from patients with urinary tract infections. Also, in this research, by conducting tests related to the detection of the antimicrobial resistance of the extracted strains and using statistical analysis, an attempt has been made to find a significant relationship between the presence or absence of a gene and resistance to antibacterials. At first, 110 urine samples were collected from patients with UTI in the Dhi Qar province of Iraq. In this research, bacterial culture methods in McConkey agar and advanced biochemical tests were used for primary confirmation of E. coli contamination, and Vitek2 and API E20 systems were used for secondary confirmation of bacterial contamination in suspected samples. Finally, the result of these tests was that all 110 samples were infected with E. coli. Then, samples resistant to the antibiotics Ampicillin, Tetracycline, Ciprofloxacin, Nitrofurantoin, and Cotrimoxazole, respectively, were detected by culturing in MuellerHinton agar medium and disc diffusion using the CLSI 2021 protocol. 36.36, 24.54, 29.09, 2.72, and 20% of the samples were resistant to these antibiotics, respectively. PCR was used to amplify gene fragments, and agarose gel electrophoresis was used to determine the presence of genes. The result was that the percentages of papG, papC, and papA genes were 61.81, 38.18, and 28.18, respectively. Finally, by performing a chisquare test in SPSS software, it was found that there is a significant relationship between the presence or absence of papA and papC genes with ampicillin and a significant relationship between papG and cotrimoxazole. These findings and the findings of other researchers can help us choose the right treatment and design new treatments by determining the antibiotic resistance factor

Zn-metal organic framework containing electron rich linkers and film preparation for applications in antibiotic detection

A Zn-metal organic framework has been synthesized, [Zn4(ad)3(BPTC)(H2O)4]·0.75ad ·0.25NO3·2.5DMF·2.5H2O (ZnAB MOF) (ad = adenine, BPTC = biphenyl-3,3′,5,5′-tetracarboxylic acid) and characterized by X-ray single crystallography. The crystal structure reveals a 3D framework with two differently sized channels with the structure confirmed by IR, TGA and elemental analysis. This MOF has also been prepared in the form of a MOF film on a Zn metal sheet in situ with one continuous layer 60 μm thick. The materials fluoresce at 352, 433 and 355, 423 nm (λex = 310 nm), for MOF powder and MOF film, respectively. The fluorescence is quenched by nitrofuran antibiotics allowing the MOF to be used in their detection. Specifically, the nitrofuran antibiotics nitrofurazone (NFZ) and nitrofurantoin (NFT) exhibit significant quenching. ZnAB MOF powder shows higher sensitivity than the ZnAB MOF film with higher fluorescence quenching, Stern-Volmer constant (KSV) and limit of detection (LOD). However, the ZnAB MOF film exhibits superior repeatability for nitrofuran detection. Fluorescence quenching of NFZ and NFT may occur via fluorescence resonance energy transfer (FRET) and/or photoinduced electron transfer (PET).

Fitness Costs of Antibiotic Resistance Impede the Evolution of Resistance to Other Antibiotics.

Antibiotic resistance is a major threat to global health, claiming the lives of millions every year. With a nearly dry antibiotic development pipeline, novel strategies are urgently needed to combat resistant pathogens. One emerging strategy is the use of sequential antibiotic therapy, postulated to reduce the rate at which antibiotic resistance evolves. Here, we use the soft agar gradient evolution (SAGE) system to carry out high-throughput in vitro bacterial evolution against antibiotic pressure. We find that evolution of resistance to the antibiotic chloramphenicol (CHL) severely affects bacterial fitness, slowing the rate at which resistance to the antibiotics nitrofurantoin and streptomycin emerges. In vitro acquisition of compensatory mutations in the CHL-resistant cells markedly improves fitness and nitrofurantoin adaptation rates but fails to restore rates to wild-type levels against streptomycin. Genome sequencing reveals distinct evolutionary paths to resistance in fitness-impaired populations, suggesting resistance trade-offs in favor of mitigation of fitness costs. We show that the speed of bacterial fronts in SAGE plates is a reliable indicator of adaptation rates and evolutionary trajectories to resistance. Identification of antibiotics whose mutational resistance mechanisms confer stable impairments may help clinicians prescribe sequential antibiotic therapies that are less prone to resistance evolution.