International Journal of Antimicrobial Agents

ObjectivesTo develop a population pharmacokinetic (PPK) model of polymyxin B (PMB) for intravenous (IV) and combined intravenous plus inhaled (IV+IH) administration in critically ill patients, and evaluate the association between the 24-h steady-state area under concentration-time curve to minimum inhibitory concentration ratio (AUCss,24h/MIC) and clinical outcomes. MethodsThis prospective cohort was conducted in the ICU of the Third Xiangya Hospital, Central South University (ethics R19048; ChiCTR1900028602). Adults with multidrug-resistant Gram-negative bacterial infections receiving PMB [≥]48 h were enrolled and assigned to IV or IV+IH groups. Serial plasma samples were analyzed by validated LC-MS/MS. The PPK model was developed with NONMEM(R). Clinical efficacy at end of treatment was blindly assessed. ResultsForty-three patients were enrolled (IV, n=22; IV+IH, n=21), with an overall clinical success rate of 66.7%. A two-compartment PPK model best described the data, with typical values of clearance (2.6 L/h), central volume (13.6 L), and peripheral volume (17.6 L). Clearance was influenced by creatinine clearance and total bile acids. In the overall cohort, neither AUCss,24h nor AUCss,24h/MIC differed significantly between clinical success and failure (p=0.591 and 0.143). In the IV group, AUCss,24h/MIC was significantly higher in responders (p=0.005) with an ROC-derived efficacy threshold of 94.37; AUCss,24h showed a non-significant trend (p=0.076). No exposure- response relationship was observed in the IV+IH group (p=0.398 and 0.495). ConclusionsPlasma AUCss,24h/MIC appears to be associated with clinical efficacy during IV monotherapy but not in IV+IH regimens, likely due to high pulmonary exposure. Plasma-based PK/PD targets should be applied cautiously when inhalation is added.

The development of novel therapeutics for infectious diseases remains a global health priority. To accelerate the treatment development, innovative strategies through new approach methodology (NAM) are needed to bridge speed of in vitro with predictive power of in vivo studies, while reducing mammalian experiments. The zebrafish (Danio rerio), particularly the embryo/larva, has been established as a valuable non-mammalian in vivo model in biomedical research. We developed a standardized and streamlined workflow for the zebrafish as NAM, which consisted of 3 steps: drug selection and efficacy evaluation, internal exposure assessment, and PKPD modelling. Compounds with higher tolerated doses than minimum inhibitory concentration were selected. Drug efficacy was quantified through longitudinal individual fluorescence microscopy at baseline and 24 and 48h on treatment. Drug exposure was quantified in larval homogenates and exposure medium from 0-48h on treatment. The PKPD relationship was quantified by non-linear mixed effects modelling. For case study bedaquiline, PKPD was quantified using a one-compartment model with age-depending elimination, and an Emax concentration-response relationship on the delayed logistic bacterial growth function, with an EC50 of 26.6 {micro}g/mL and an Emax of 1.07-1.37. In the case of clarithromycin, in contrast, negligible internal exposure after waterborne treatment were observed, illustrating the risk of false negatives without internal exposure assessments. Bactericidal efficacy was confirmed by intravenous drug injections, showing a clear dose dependent antimycobacterial effect. The standardized zebrafish NAM workflow presented here facilitates the translation of drug efficacy to higher vertebrates, reducing rodent studies to confirmatory or replacing them completely, thus accelerating drug development.

Rationale: Efficacious dose selection for anti-tuberculosis drugs has traditionally relied on achieving plasma exposures above the minimum inhibitory concentration, but this approach has not consistently aligned with clinical outcomes. Objectives: We sought to identify early pharmacokinetic-pharmacodynamic targets most predictive of clinical efficacious dose. Methods: We conducted a back-translational, pharmacokinetic-pharmacodynamic simulation-based analysis of 15 anti-tuberculosis drugs. Using pharmacokinetic data from multiple biological matrices and a range of pharmacodynamic metrics, we established candidate exposure-response targets for attainment. We systematically evaluated the predictive accuracy of each target pair against established clinical doses to formulate a decision-making framework linking key drug properties to the most predictive targets. Measurements and Main Results: Depending on the target used, projected clinical doses varied widely - both within and across compounds - highlighting the importance of target selection for dose projection and go/no-go decisions. In general, targeting cellular lesion-level drug exposures relative to in vivo preclinical potency provided an effective approach for early dose selection. However, for highly penetrating drugs, targeting site-of-action therapeutic exposures in the caseum was more predictive of clinical dose. Based on these findings, we developed a preliminary dose prediction tool that enables drug developers to estimate clinically relevant dose ranges of compounds using in vitro and early in vivo data. Conclusions: This work establishes and validates a simple, evidence-based framework to standardize early translational decision-making on dose selection of anti-tuberculosis candidates in development.

Rationale: Infections due to Extended-spectrum {beta}-lactamases-producing Enterobacterales (ESBL-PE) require empirical treatment with carbapenems. ESBL-PE carriage is considered as a risk factor for ESBL-PE involvement during ICU infection. Our aim was to determine factors that may predict the actual involvement of ESBL-PE. Methods: A two-periods bicentric ambispective study including ICU ESBL-PE carriers patients from April 2011 to January 2019. All ESBL-PE carriers who developed an infection were analyzed. Results: 6112 patients and 4902 patients were screened during the two periods. 384 and 232 ESBL-PE carriers were identified. Total number of infectious episodes were 146 and 114, respectively. A total of 144 pneumonias, 42 urinary tract infection and 45 digestive infections were studied. An ESBL-PE was involved in 35 (24.3%) episodes of pneumonia, and 44 (37.9%) of extra-pulmonary infections. The most frequent ESBL-PE involved were K. pneumoniae, E. cloacae and E. coli. Similar species and phenotypes were present in colonisation and infection in 29 (82.8%) of pneumonia and in 40 (90.9%) of extra-respiratory infection. Multivariate analysis identified Klebsiella pneumonia or Enterobacter cloacae carriage as risk factor for ESBL-PE involvement in pneumonia and E. coli carriage and detection of ESBL-PE carriage before ICU admission as protective factors. Conclusion: In our study an ESBL-PE involvement is infrequent in pneumonia. A known carriage before ICU admission and E. coli carriage are factors associated with the absence of ESBL-PE un the episode of respiratory infection. A confirmation of our findings could lead to a reduction in the empirical use of carbapenems in this population.

SynopsisO_ST_ABSBackgroundC_ST_ABSTime kill curve (TKC) assessments are an essential step in the study of an antimicrobials pharmacodynamic characteristics. Surprisingly TKCs have not be formally standardised, therefore there remain concerns that different testing centres/methodologies may produce different results. Six centres participating in Gram-negative-Antibiotics NOW (GNA-NOW) consortium measured a series of TKCs with meropenem against E. coli to establish: Same-day (SD) vs different-day (DD) replication per centre (intra-site), and centre to centre (inter-site) correlations. MethodsMeropenem was tested against three strains of E. coli (ATCC 25922; ESBL producer C1.55; OXA-48 producer C1.62). An inoculum of 1.5x106 CFU was specified with meropenem concentrations of x0, x1 to x16 MIC; and sampling assessment of bacterial density was determined at 0-24h. Experiments were performed in triplicate, aerobically at 37{degrees}C. Centre-specific methodology was collected. Meropenem, media, bacterial strains, were shipped from one central laboratory to participating laboratories. ANOVA and Friedman tests were used to assess SD, DD and between centre replications. ResultsAssessment of the methodologies between centres revealed many differences, including bacterial inoculum, meropenem preparation, volume of TKC vessel, vessel materials, agitation vs static cultures and sampling volumes. Intra-centre SD and DD analysis for all strains were generally associated with P>0.05 suggesting consistency. Inter-centre SD and DD comparisons resulted in P<0.05, indicating variable total bacterial load measurement between centres. ConclusionsTKC methodologies varied between different centres, and while intra-centre comparison of SD and DD were generally consistent, inter-centre comparisons were not. Standardisation of TKC methodologies is required.

Background: Rising antibiotic resistance challenges empirical therapies for urinary tract infections (UTIs). This study evaluated the microbial etiology, susceptibility profiles, and multidrug resistance (MDR) patterns of uropathogens among outpatients at the Berekum Holy Family Hospital, Ghana. Methods: This cross-sectional study (February to August 2021) screened 263 symptomatic outpatients. Mid-stream urine samples underwent quantitative culture, biochemical identification, and antimicrobial susceptibility testing via the Kirby-Bauer disc diffusion method following the 2021 CLSI guidelines. Results: Significant bacteriuria prevalence was 22.8% (60/263). UTIs predominated in females (78.3%, 47/60; p = 0.1501) and individuals [&ge;]45 years (33.3%, 20/60). Gram-negative rods accounted for 90.0% of isolates, primarily Escherichia coli (26.7%), Citrobacter spp. (25.0%), and Enterobacter spp. (21.7%); Staphylococcus aureus (10.0%) was the only Gram-positive pathogen. Extreme phenotypic resistance was observed against piperacillin/tazobactam (98.3%), cefotaxime (93.3%), tetracycline (88.3%), and cefoperazone (85.0%). Conversely, highest therapeutic susceptibilities were retained by amikacin (78.3%), levofloxacin (61.7%), and gentamicin (58.3%). Conclusion: The high prevalence of MDR uropathogens against advanced beta-lactamase inhibitor combinations and cephalosporins necessitates an immediate re-evaluation of regional empirical protocols. Amikacin, levofloxacin, and gentamicin remain viable options prior to culture confirmation. These findings establish a crucial phenotypic baseline to guide localized prescribing policies and regional antimicrobial resistance tracking strategies.

Background: Antimicrobial resistance poses a major threat to global public health. Large language models (LLMs) offer new possibilities for optimizing antibiotic prescribing decisions, but the capabilities of general-purpose versus domain-specific medical LLMs under different prompting strategies remain to be clarified. Methods: This double-blind, randomized-sequence evaluation used a 2X2 factorial design comparing four AI conditions-the domain-specific model MedGo and the general-purpose model DeepSeek V3.5, each under standard direct prompting and chain-of-thought (CoT) prompting-alongside real physician prescriptions across 59 complex inpatient infection cases. Five parallel regimens were generated per case and independently evaluated by three senior clinicians (1-5 comprehensive score and five domain sub-scores). ChatGPT 5.2 was additionally assessed as an automated evaluation tool. Results: Score ranking: real physicians > MedGo-CoT > DeepSeek-CoT > MedGo> DeepSeek (Friedman test, p<0.001). In base mode, MedGo significantly outperformed DeepSeek (Holm-adjusted p=0.040). CoT improved both models (Holm-adjusted p<0.001 for DeepSeek; p=0.024 for MedGo) and reduced score dispersion. MedGo-CoT significantly outperformed DeepSeek-CoT in individualized adjustment (adjusted p<0.001) and dosing precision (adjusted p=0.005). ChatGPT-expert correlation was negligible (overall Kendall {tau}=0.153, p=0.003; subgroup {tau}=0.06-0.20, all p>0.05). Conclusions: Domain-specific medical LLMs enhanced by CoT approach the antibiotic decision-making level of real physicians, with advantages in individualization and dosing precision. However, notable deficiencies persist in antimicrobial stewardship ecological awareness and automated evaluation reliability, underscoring the continued indispensability of senior clinical expertise.

SynopsisO_ST_ABSBackgroundC_ST_ABSThe main advantages of Time Kill Curves (TKCs) in antimicrobial drug development are the ability to track bacterial kill and regrowth over time and with varying drug concentrations. Whilst there are guideline documents in place, such as M26-A in CLSI, there remains scope for individual laboratory differences in practice. Here we evaluated several factors which potentially influenced data generated in TKCs. MethodsFirstly, E. coli ATCC 25922 was used to determine optimum sampling volume, culture vessel volume, CFU enumeration variance factors and static versus agitated cultures in a single laboratory. Secondly, a ring test comprising of TKCs was performed by six laboratories focusing on: standardised inoculum, static culture and two culture vessel sizes 10 mL and 200 {micro}L. Data analysis was performed to determine consistency within centres and between them. ResultsConsistently accurate inocula could be achieved by use of: larger sampling volumes between 100 {micro}L > 20 mL; larger culture vessels volumes (10 mL > 100 {micro}L) and higher inocula (10 8 > 1.5x10 5 CFU). Culture agitation during the TKC experiment resulted in reduced killing compared to static cultures. Reproducibility of TKCs was best between centres when they were performed in 10 mL culture vessels. There was more variability per site when performing TKC in 96 well trays. ConclusionsTechnical factors such as preparation of inocula, agitation, vessel size and enumeration of cultures are important variables in performing TKCs that need to be standardised in drug development programmes involving multiple laboratory centres.

Staphylococcus aureus and Streptococcus pyogenes are major causative bacteria responsible for skin and soft-tissue infections (SSTIs) such as impetigo. Increasing resistance to commonly used topical antibiotics necessitates evaluation of newer agents for the treatment of skin infections. Ozenoxacin, a novel non-fluorinated topical quinolone, has shown promise, exhibiting potent activity against a wide range of pathogens, including methicillin-resistant Staphylococcus (MRSA) and Streptococcus pyogenes. The present study compared the in vitro activity of ozenoxacin and comparator agents against clinical isolates of Staphylococcus aureus and Streptococcus pyogenes from multiple sources including skin and soft-tissue, wound, abscess, and blood. Ozenoxacin was assessed for in vitro antimicrobial activity against 109 methicillin-susceptible (MSSA), methicillin-resistant S. aureus (MRSA), and 24 Streptococcus pyogenes isolates by broth microdilution method recommended by the Clinical and Laboratory Standards Institute (CLSI). Ozenoxacin demonstrated potent in-vitro activity against all 109 S. aureus (MIC50/90= 0.125/0.5 {micro}g/ml) and 24 S. pyogenes (MIC50/90= 0.015/0.03 {micro}g/ml) strains. In contrast, higher MICs were observed for fusidic acid and mupirocin among a subset of S. aureus isolates. A comparison of MIC90values demonstrated that ozenoxacin (0.5 {micro}g/ml) was more active against S. aureus isolates than 8 of the 9 comparator agents tested including vancomycin and linezolid (MIC90= 2 & 4 {micro}g/ml) respectively. In vitro studies of ozenoxacin showed potency against staphylococci and streptococci including resistant S. aureus strains. These findings support its role as an effective first-in-class quinolone topical therapeutic option in the management of various SSTIs.

Emerging drug resistance against the malaria parasite is worrisome and necessitates the development of novel antimalarials. Himalayan Buransh (Rhododendron arboreum) is a well-known medicinal plant found in the northern states of India. In this study, we observed the pleiotropic antimalarial activities and immunomodulation exhibited by the aqueous extract of Buransh flower (AEBF). AEBF demonstrated significant IC50 values (16-29 {micro}g/ml) against the asexual stages of various P. falciparum strains (3D7, Dd2-chloroquine-resistant and C580Y-artemisinin resistant). The oral administration of AEBF (200 mg/kg) in mice, suppressed [~]80% P. berghei parasitemia, improved mean survival time (MST-23.5 days) and prevented splenomegaly. Notably, the combination of AEBF and artesunate not only cleared primary infection, but also conferred sustained immunity. This immunomodulatory effect, driven by protective IFN-{gamma} resulted in reduced parasitemia during a homologous challenge without the need for further treatment. It is important to highlight the malaria transmission blocking activity of AEBF, resulting in reduced sexual stage male gametocyte exflagellation. Furthermore, the virtual drug screening of selected bioactive constituents from Buransh flower demonstrated potent binding against multiple P. falciparum proteins, suggested a pleiotropic mode of action. Altogether, our results corroborated the first ever evidence of the multistage antimalarial potential of Buransh flower, supported by in vitro cell studies, in vivo rodent malaria model and in silico docking analyses. Based on our studys findings and the traditional use of Buransh juice as a medicinal beverage in Uttarakhand, India, we propose exploring it as an adjunct therapy for drug-resistant malaria, subject to further clinical validation.

Background: Multi-drug resistant Bacterial (MDRB) Infections in the intensive care units (ICUs) substantially elevate patient mortality, prolong hospital stays, and impose heavy healthcare cost burdens. Existing predictive models for ICU-acquired MDRB infection predominantly focus on static admission-risk assessment, lacking the capacity to leverage longitudinal treatment data for dynamic risk re-stratification during the ICU stay. Meanwhile, most models suffer from poor clinical interpretability, overreliance on hard-to-collect biomarkers, or absence of deployable clinical tools, limiting real-world translation. Therefore, there is an urgent need to develop a parsimonious, interpretable tool based on routine cumulative data to guide timely intervention. This study aimed to develop a interpretable model with a web calculator to improve clinical applicability. Methods: In this study, we conducted a retrospective analysis of ICU inpatients at the First Affiliated Hospital of Dali University between January 1, 2023, and January 1, 2026. Using the create Data Partition function in R software (random seed = 42), the dataset was stratified and divided into a training group and a validation group in a 7:3 ratio. Feature selection was performed using the Boruta algorithm to validate variable rationality. A multivariable logistic regression model was constructed and visualized as a nomogram, and its performance was compared with six machine learning algorithms (Random Forest, XG Boost, Neural Network, etc.). Model validation was conducted using receiver operating characteristic curves (ROC), Decision Curve Analysis (DCA), and SHAP value interpretation. Finally, an online R Shiny calculator was developed based on the final model. Results: A total of 3,631 patients were enrolled and divided into a training group (n=2,543) and a validation group (n=1,088) using stratified random sampling. Five independent predictors were identified in the training group, which were hypertension combined with diabetes, antibiotic types, ventilator days, urinary catheter days, and PCT abnormality times. The Logistic regression model achieved an AUC of 0.772 (95%CI: 0.733-0.812) in the validation group, outperforming XG Boost (0.763) and Random Forest (0.703). The model demonstrated excellent calibration (Hosmer-Leme show {chi}{superscript 2} = 1.94, P = 0.9829) and positive net clinical benefit across threshold probabilities of 0%-40%. SHAP analysis aligned with regression-derived variable importance rankings, confirming predictor contributions. An open-access online calculator was successfully deployed (https://dongfangshao666.shinyapps.io/MDR_shiny2/), enabling real-time individualized risk stratification at the bedside. Conclusion: This study developed and validated a dynamic, interpretable multi-drug-resistant bacterial infection risk prediction model requiring only five routinely collected clinical indicators. The model balances robust predictive performance with high transparency, overcoming key limitations of prior tools. The accompanying web calculator supports dynamic risk reassessment throughout the ICU stay, facilitating precise antimicrobial stewardship, targeted infection control interventions, and optimized resource allocation, bridging the gap between statistical modeling and frontline clinical decision-making.

ObjectivesFosfomycin (FOS) remains an important therapeutic option for urinary tract infections caused by uropathogenic Escherichia coli (UPEC), but specific virulence traits as biofilm formation, metabolic adaptation, and antimicrobial resistance may limit its efficacy. This study investigated whether the natural compound, trans-cinnamaldehyde (t-CA) potentiates FOS activity against UPEC and explored the underlying mechanisms of its effect MethodsThe interaction between t-CA and FOS was assessed using checkerboard assays, time-kill analysis. We evaluated biofilm viability and structure using confocal and scanning microscopy as well as catheter-associated biofilm models. Next, effects on membrane integrity, cell-surface properties, membrane potential, intracellular pyruvate levels, and resistance evolution during serial passage were evaluated. Molecular docking was used to explore potential interactions of t-CA with enzymes involved in pyruvate metabolism. Galleria mellonella infection model was employed to evaluate in vivo therapeutical efficiency. Resultst-CA potentiated FOS activity against laboratory, reference, and clinical UPEC strains, with synergistic or additive interactions observed across the tested collection. The combination enhanced bacterial killing, reduced biofilm viability and biomass, and disrupted biofilm architecture. In catheter-associated biofilms, combined treatment markedly impaired surface-associated UPEC communities. t-CA reduced extracellular matrix abundance and altered cell-surface hydrophobicity and membrane potential without inducing detectable oxidative stress. Mechanistically, t-CA affected pyruvate homeostasis, reduced intracellular pyruvate levels, and phenotypically intersected with the BtsSR pyruvate-sensing pathway. Serial exposure to FOS alone rapidly increased MIC, whereas t-CA limited this phenomenon and did not itself promote reduced susceptibility. The compounds combination also improved survival of UTI89-infected G. mellonella larvae. Conclusionst-CA enhances FOS activity against UPEC through complementing the antibiofilm and metabolic effects. By weakening biofilm matrix integrity, perturbing pyruvate homeostasis, and limiting FOS-associated MIC elevation, t-CA represents a promising adjuvant candidate for improving FOS efficacy against biofilm-associated UPEC infections.

Septic shock caused by fungal organisms is characterized by high mortality and diagnostic complexity. We used the Premier Healthcare Database to characterize antifungal use and fungal diagnoses among adults with septic shock requiring vasopressors admitted between October 2022 through July 2024. Among 12.8 million admission at 886 hospitals, 554,948 met septic shock criteria and were included for analysis. A fungal diagnosis was established in 11,405 (2.1%) of encounters; of these, 3,565 (31.3%) received intravenous antifungal therapy within one day of vasopressor initiation. In the overall cohort, antifungal therapy was initiated in 29,824 (5.5%) within one day of vasopressor initiation; of these, 3,656 (12.2%) were ultimately diagnosed with a fungal infection. In the 116 hospitals reporting microbiological data, a subgroup of 489 encounters with septic shock and culture-confirmed candidemia was identified. In this subgroup, intravenous antifungal therapy was initiated in 43.8% within one day, 63.8% within three days, and 78.9% within seven days. These findings highlight a profound decoupling between fungal diagnosis and treatment--few patients receiving antifungals were diagnosed with an infection that would be treated by these agents, while less than half of patients with septic shock and candidemia received timely treatment. Strategies for greater precision in empiric antifungal use in septic shock are needed to improve safety, stewardship, and outcomes.

Background: This study aimed to evaluate real-world adverse event (AE) signals of EV to provide evidence-based guidance for its safe clinical application. Methods: Data from the FDA Adverse Event Reporting System (FAERS) database from the period of 2019 Q1-2025 Q3 were analyzed. Disproportionality analysis algorithms, including the reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN), and empirical Bayes geometric mean (EBGM), were utilized to mine safety signals.The time to onset (TTO) was evaluated using the Weibull distribution model. Results: Among 11,697,906 reports, 4,177 EV-treated patients experienced 14,511 AEs. The most common System Organ Classes (SOCs) were skin and subcutaneous tissue disorders (18.23%), general disorders and administration site conditions (13.17%).Multi-algorithm consensus identified 179 positive signals. Alongside known toxicities (rash, peripheral neuropathy, hyperglycemia), potential new signals emerged, including dysgeusia, atypical skin lesions, and myelosuppression. Median TTO was 14 days, with the Weibull {beta} of 0.736, confirming an "early failure" profile. Subgroup analysis revealed toxicity heterogeneity: patients aged [&ge;]65 and females exhibited stronger signals for fatal severe cutaneous adverse reactions, while patients aged < 65 and males showed higher susceptibility to neurological and metabolic toxicities. Conclusions: The real-world safety profile of EV confirms known toxicities, reveals new risks (e.g., dysgeusia), and shows toxicity concentrated in the first treatment cycle. Clinical practice requires proactive monitoring during the first two weeks using demographic-specific strategies: vigilance for fatal skin toxicity in elderly and female patients, and close follow-up of neurological and metabolic indicators in younger and male populations.

The well-known discrepancy between the in vitro and in vivo efficacy of {beta}-lactam antibiotics in metallo-{beta}-lactamase (MBL) containing Gram-negative bacteria has during recent years been found to be at least partially explained by zinc levels at infection sites being much lower than those found in conventional cation-adjusted Mueller-Hinton Broth (caMHB) media used for in vitro susceptibility testing. Previous studies have also demonstrated that a high variability exists with respect to zinc content in caMHB from different manufacturers, potentially leading to differences in SIR interpretations for {beta}-lactam antibiotics with MBL-carrying isolates, depending on the brand of caMHB used for testing. APC148 is a zinc-chelating compound acting as an inhibitor of MBL enzymes and is currently undergoing phase one in clinical trials. In this study, ten clinical isolates of Klebsiella pneumoniae, Escherichia coli, Pseudomonas aeruginosa and Acinetobacter baumannii harbouring MBLs (NDM, n = 6; VIM, n = 4; IMP, n = 1) were tested in a broth microdilution assay with meropenem and APC148, employing caMHB of various brands. One K. pneumoniae strain carrying only a serine-{beta}-lactamase (KPC-2) was included as control. Antimicrobial susceptibility testing (AST) by broth microdilution was performed according to the European Committee on Antimicrobial Susceptibility Testing (EUCAST). MICs of meropenem alone and in combination with inhibitors were tested in four cation-adjusted Mueller Hinton II (caMHB).The four caMHBs used were analysed by ICP-MS/MS and found to have highly vaiable zinc content (in the range 0.4 to 1.9 {micro}g/mL, corresponding to 5.6 to 29.4 {micro}M). At 16{micro}g/ml APC148 lowered the MIC in nearly all strains and in caMHBs from all manufacturers. At lower concentrations of APC148 (4 or 8 {micro}g/mL), this MIC reduction could however only be retained when the zinc concentration in the broth was low, indicating that higher concentration of inhibitor is needed during in vitro Mic testing when using caMHB from certain manufacturers. The present work clearly shows that not taking the zinc concentration of the caMHB used into consideration when estimating MIC performance of compounds functioning through interactions with zinc may be a considerable source of error, and specifically when investigating potential inhibitors of metallo-{beta}-lactamase (MBL) enzymes. The present work supports the call for standardising zinc content in caMHB to be used for this purpose, to ensure that MIC results for drug combinations involving the use of zinc-chelating compounds are consistent and reproducible across laboratories.

Background and Aims The optimal treatment for first episodes and first recurrences of Clostridioides difficile infections (CDI) is unknown and there is emerging evidence for pulse and taper (P-T) regimens. Therefore, we sought to estimate the relative efficacy of treatment options. Methods MEDLINE and CENTRAL were searched from database inception to May 21, 2025 and unpublished conference abstracts were searched from recent infectious disease conferences. RCTs on the treatment of first episodes or first recurrences of CDI comparing fixed-dose or P-T regimens of fidaxomicin or vancomycin were included. The primary and secondary outcomes were 40- and 56-day CDI recurrence, respectively. A random-effects network meta-analysis on the risk ratio (RR) scale was conducted using a standard regimen (10-14 days) of vancomycin as the comparator. Treatments were ranked using the surface under the cumulative ranking curve (SUCRA). Results 8 RCTs were included comprising a total of 2181 patients. For 40-day recurrence, fidaxomicin P-T had the highest probability of ranking best (RR=0.10, 95%Confidence Interval [95%CI]=0.10-0.49, SUCRA=1.00), followed by vancomycin P-T (RR=0.49, 95%CI=0.32-0.76, SUCRA=0.61), fixed-dose fidaxomicin (RR=0.61, 95%CI=0.49-0.76, SUCRA=0.39), and, finally, fixed-dose of vancomycin (SUCRA=0.00). The treatments ranked in the same order for 56-day recurrence, though only 3 RCTs reported on this timepoint. Conclusion Vancomycin P-T, fidaxomicin P-T, and fixed-dose fidaxomicin were all superior to a fixed-dose vancomycin. Head-to-head comparative effectiveness RCTs are needed to quantify their relative effect sizes of and impact on long-term prevention of recurrent CDI.

Ganciclovir (GCV), and its orally available pro-drug valganciclovir (VGCV), are preferred therapies for treating congenital cytomegalovirus (cCMV), however, their use carries a significant risk of neutropenia for the child. This risk limits dosing and effectiveness of VGCV, particularly in the treatment of infants with cCMV infection, who are at increased risk for sensorineural hearing loss (SNHL). We hypothesized that an improved understanding of the pharmacokinetics (PK) and pharmacodynamics (PD) of VGCV in cCMV-infected infants at risk for SNHL would inform strategies for optimizing safe and effective VGCV dosing. Participants were enrolled in one of two clinical studies interrogating the PK, safety, and efficacy of VGCV treatment in cCMV-infected infants at risk for SNHL. GCV exhibited a short median half-life of 2.02 h and the median (range) area under the 24 h concentration-time curve (AUC24) was 60.8 (26.8, 99.4) g*h/mL. An AUC24 > 70 g*h/mL was associated with an elevated risk of neutropenia (Fisher's Exact p = 0.029). No associations between GCV PK and hearing outcomes were observed. Taken together, these results indicate vast inter-individual variability in GCV PK that is associated with dose-related toxicity, supporting the need for individualized dosing in the cCMV-infected population.

BackgroundRapid identification of pathogens and antimicrobial resistance (AMR) in bloodstream infections (BSIs) is critical for timely clinical management. Although blood culture is the reference standard, it is limited by turnaround time and incomplete resolution of resistance mechanisms. We evaluated metagenomic next-generation sequencing (mNGS) applied to flagged positive blood culture bottles to enhance diagnostic resolution and inform targeted molecular approaches. MethodsFifty-five flagged positive blood culture bottles from a tertiary care hospital in Bengaluru, India, were analyzed. Shotgun mNGS was performed directly on blood culture broth and compared with routine phenotypic identification and antimicrobial susceptibility testing (AST) from corresponding isolates. Antimicrobial resistance genes (ARGs) and plasmid replicons were profiled. ResultsmNGS showed high concordance with routine culture for pathogen identification (54/55; 98.2%) and improved species-level resolution across bacterial and fungal pathogens. Genotypic resistance profiles were consistent with phenotypic AST, identifying {beta}-lactamases, efflux-associated determinants, and target modification mechanisms. Diverse ARGs and plasmid replicons (Inc-, Col-, and rep-family) were detected, providing genomic context for resistance. Sequencing predominantly reflected the cultured organism, supporting high specificity in flagged blood culture material. ConclusionsmNGS applied to flagged blood culture bottles enables high-resolution characterization of pathogens and resistance determinants at a clinically actionable stage. The genomic insights generated provide a framework for developing targeted multiplex PCR assays that can reduce turnaround time and improve affordability compared with sequencing-based approaches. This strategy supports the use of mNGS as an adjunct to conventional diagnostics and as a bridge toward scalable, rapid, and cost-effective solutions for BSI diagnosis and AMR surveillance.

The minimum inhibitory concentration (MIC) is a standard measure for describing the lowest effective dose concentration of an antimicrobial compound in clinical practice; yet, conventional assays often require a substantial amount of antimicrobial compound, limiting their use with scarce, purified agents. Here, we describe a simple and reproducible technique to evaluate the MIC for purified compounds with a limited sample size. The protocol describes the MIC steps against a bacterial strain while minimizing the use of reagents and materials. It is helpful for screening purified natural products as antimicrobial agents and in early-stage drug discovery. The protocol adapts standard microplate-based assays for two-fold dilution of the compound, ensuring their applicability in microbiological studies. The MIC value of the standard antibiotic kanamycin against Staphylococcus aureus, Vibrio fischeri, Klebsiella pneumoniae, and Escherichia coli was determined using our method, and was found to be consistent with the conventional broth microdilution method, validating its reliability. Therefore, this method offers a practical and viable solution for antimicrobial drug discovery, addressing the disparity between limited compound availability and comprehensive microbiological assessment of MIC.

Background Klebsiella pneumoniae (Kpn) is a major cause of neonatal sepsis in Africa. 3rd generation cephalosporin and gentamicin resistant Kpn is the norm in many sites, rendering WHO recommended first- and second-line antimicrobials ineffective. An understanding of which neonates and infants are most at risk of sepsis caused by Kpn would support the case for improved access to WHO watch and reserve antimicrobials (i.e. carbapenems) for patients most likely to benefit from them. Methods A prospective case-control study was conducted at Queen Elizabeth Central Hospital, Malawi. Cases were infants <3 months of age with blood or CSF culture confirmed Kpn infection. Controls were healthy infants from the same wards and were matched 2:1. Univariate and multivariate logistic regression were performed on mean-centred data to determine risk factors for infection with Kpn. Results We analysed data from 38 cases and 76 controls between August 2021 and April 2023. Mortality at 3 months of age was 21/38 (29%) for cases, with 14/38 (37%) identified postmortem and 6/76 (7.9%) for controls (OR 14.0 (95% CI 4.59, 49.2, p>0.001). Cases were more likely to be born out of QECH than controls (42% vs. 24%, p = 0.043), and cases had lower birthweights (median 2200g vs. 2850g, p = 0.005). Multivariate logistic regression analysis revealed that increasing birthweight was protective against Kpn infection (OR: 0.858 [95% CI: 0.745, 0.987] per 100g increase), while longer hospital stay was associated with increased odds of infection (OR: 1.148 [95% CI: 1.012, 1.1.303] per additional day). Most infecting isolates (34/38 [89%]) were resistant to first- and second-line antimicrobial agents, but all were sensitive to meropenem and 33/36 [92%] to amikacin. Conclusion Low birthweight infants with prolonged hospital stay were at greatest risk of Kpn infections that were typically resistant to WHO first- and second-line antimicrobial therapy. These infants should be prioritised for antibiotics that have the potential to be life-saving. The overlapping and evolving nature of these risk factors makes it difficult to design a simple tool to support empiric initiation of meropenem. Neonates critically ill with Kpn sepsis cannot, however, afford to wait for blood culture confirmation before receiving effective treatment. This highlights the need for empiric decision making frameworks that allow rapid initiation of effective therapy in high-risk neonates.