Microscale cephalosporin ion-selective amperometric/voltammetric sensors based on a micropipette-supported liquid/liquid interface: Multiple purposes of transmembrane studies and real-time determinations

Author: Liu, Cheng ; Wang, Lishi ; Xu, Zhidan ; You, Yongtao ; Bai, Silan

The permeability of cephalosporins through cell membranes is crucial for their efficacy against gram-neg. bacteria.To address this, a microsoft biphasic sensor utilizing the interface between two immiscible electrolyte solutions (ITIES) has been introduced for studying the ion transfer of cefotiam (CTM), ceftazidime (CAZ) and cefepime (CPM).The typical voltammograms of cephalosporin ion transfer can be further used to determine the formal ion transfer potentials (Δwoφ'A), ion transfer Gibbs free energies (ΔwoG'A), effective hydrophilicity (logPi), geometry of micro-ITIES, diffusion coefficient (Dw) and ion transfer rate constant (k0).In addition, the partitioning of CTM+, CAZ+, and CPM+ in two phases at different pH values was revealed by the corresponding ion partition diagrams (IPDs).The IPDs can further elucidate the mechanism of cephalosporin ion transfer across the ITIES at different pH values.Finally, the determination of CTM+, CAZ+ and CPM+ was achieved via real-time chronoamperometry.An excellent linear range for cephalosporin ions with a satisfactory limit of detection was obtained.The findings show the superb selectivity and anti-interferent ability of micro-ITIES sensors toward cephalosporins.The constructed micro-ITIES sensors for cephalosporin could contribute to medicinal design, single microorganism metabolism anal., clin. diagnosis, and food safety inspection.

01 Dec 2024·Computational and structural biotechnology journal

Predicting antimicrobial resistance in E. coli with discriminative position fused deep learning classifier

Article

Author: Jin, Canghong ; Shen, Yanyi ; Xu, Haidong ; Yue, Min ; Hu, Wenkang ; Jia, Chenghao

Escherichia coli (E. coli) has become a particular concern due to the increasing incidence of antimicrobial resistance (AMR) observed worldwide. Using machine learning (ML) to predict E. coli AMR is a more efficient method than traditional laboratory testing. However, further improvement in the predictive performance of existing models remains challenging. In this study, we collected 1937 high-quality whole genome sequencing (WGS) data from public databases with an antimicrobial resistance phenotype and modified the existing workflow by adding an attention mechanism to enable the modified workflow to focus more on core single nucleotide polymorphisms (SNPs) that may significantly lead to the development of AMR in E. coli. While comparing the model performance before and after adding the attention mechanism, we also performed a cross-comparison among the published models using random forest (RF), support vector machine (SVM), logistic regression (LR), and convolutional neural network (CNN). Our study demonstrates that the discriminative positional colors of Chaos Game Representation (CGR) images can selectively influence and highlight genome regions without prior knowledge, enhancing prediction accuracy. Furthermore, we developed an online tool (https://github.com/tjiaa/E.coli-ML/tree/main) for assisting clinicians in the rapid prediction of the AMR phenotype of E. coli and accelerating clinical decision-making.

01 Jul 2024·Forensic toxicology

Liquid chromatography with tandem mass spectrometric method for determination of 52 antibiotics in human whole blood and urine and application to forensic cases

Article

Author: Zhang, Dan ; Shi, Qianwen ; Wei, Zhiwen ; Fu, Shanlin ; Wang, Gege ; Yun, Keming ; Zhang, Chao ; Guo, Zhongyuan ; Wang, Shuhui

PURPOSE:

A rapid and reliable method was developed and validated for the simultaneous analysis of 52 antibiotics (cephalosporins, penicillins, carbapenems, lincosamides, quinolones, nitroimidazoles, macrolides, sulfonamides, tetracyclines, glycopeptide) in urine and whole blood by high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS).

METHOD:

Analytes were extracted by dilution or protein precipitation and analyzed on an Agilent 1260 HPLC system coupled to an Agilent 6470 Triple Quadrupole Mass Spectrometer.

RESULTS:

The method attended method validation criteria. The limits of detection were equal or lower than 2.0 ng/mL, whereas the limits of quantification ranged from 0.1 to 10.0 ng/mL, from 0.1 to 5.0 ng/mL, in urine and whole blood, respectively. For all analytes, the bias and intra- and inter-day precision values were less than 14.7%. The ranges of recovery values of all antibiotics were 76.5-124.5% in whole blood and 76.3-121.8% in urine, values of the effects were lower than 25% in two matrices. No evidence of carryover was observed. The study of sample stability showed that almost all analytes were stable at 24 °C for 24 h, all analytes were stable at -20 °C for 14 days and at -80 °C for 30 days. Freeze-thaw cycles stability showed that antibiotics were stable except for imipenem. Autosampler stability study showed that all analytes were stable for 24 h, except for imipenem and amoxicillin. Applicability was proven by analyzing authentic whole blood (n = 86) and urine (n = 79) samples from patients under antibiotics treatment. Therefore, this method was applied to the analysis 3 forensic allergy cases, which were positive for at least one analyte.

CONCLUSIONS:

A simple, sensitive and high-throughput method for the simultaneous determination of different classes of antibiotics in urine and whole blood samples was developed and applied. This sensitive method was successfully applied to forensic cases.

100 Deals associated with Ceftezole Sodium

External Link

KEGG	Wiki	ATC	Drug Bank
D01517	Ceftezole Sodium	J01DB12	DB13821

R&D Status

10 top approved records.

to view more data

Indication	Country/Location	Organization	Date
Bacterial Infections	-	-	-
Peritonitis	CN	Shinpoong Pharmaceutical Co., Ltd.	-
Respiratory Tract Infections	CN	Shinpoong Pharmaceutical Co., Ltd.	-
Sepsis	CN	Shinpoong Pharmaceutical Co., Ltd.	-
Urinary Tract Infections	CN	Shinpoong Pharmaceutical Co., Ltd.	-

Clinical Result

Indication

Phase

Evaluation

View All Results

Translational Medicine

Boost your research with our translational medicine data.

view full example data

Deal

Boost your decision using our deal data.

view full example data

Core Patent

Boost your research with our Core Patent data.

view full example data

Clinical Trial

Identify the latest clinical trials across global registries.

view full example data

Approval

Accelerate your research with the latest regulatory approval information.

view full example data

Regulation

Understand key drug designations in just a few clicks with Synapse.

view full example data

Chat with Hiro

Get started for free today!

Accelerate Strategic R&D decision making with Synapse, PatSnap’s AI-powered Connected Innovation Intelligence Platform Built for Life Sciences Professionals.

Start your data trial now!

Synapse data is also accessible to external entities via APIs or data packages. Empower better decisions with the latest in pharmaceutical intelligence.

Bio

Bio Sequences Search & Analysis

Chemical

Chemical Structures Search & Analysis