Roxithromycin is a second-generation macrolide antibiotic derived from erythromycin. In the current study, roxithromycin (ROX) was successfully labeled with technetium-99m for early diagnosis of bacterial infection and discrimination between septic and aseptic inflammation. The highest radiochemical purity of ≥95% was achieved by investigating different labeling parameters such as pH, ligand/reducing agent concentration, temperature, and amount of stabilizing agent. For this purpose, 0.3-0.5 mg ligand, 2-6 μg SnCl ·2H O as a reducing agent at basic pH (8-10 pH) and 2 mg mannitol used as a stabilizing agent, in the end, 370 MBq Tc added into the reaction vials and incubated for a wide range of temperature (-4 to 65°C). The percent radiochemical purity of Tc-roxithromycin was assessed with the help of the radio-thin-layer chromatography technique. The characterization studies were carried out using electrophoresis and Radio-HPLC techniques as well as saline stability and serum stability studies were also performed. Furthermore, biodistribution study was also performed in an inflamed animal model to discriminate between septic (heat-killed Staphylococcus aureus) and aseptic (turpentine oil) inflammatory lesions. The results were elaborated that Tc-roxithromycin ( Tc-ROX) was clearly bounded at the septic inflammation site (T/NT ratio of 7.08 ± 1.14) at 30 min postadministration, and maximum accumulation was seen in heart, lungs, liver, stomach, kidneys, and intestine. The results were suggested that Tc-ROX might be used to discriminate between septic and aseptic inflammatory lesions at an early stage.

Download full-text PDF

Source
http://dx.doi.org/10.1111/cbdd.13412DOI Listing

Publication Analysis

Top Keywords

discriminate septic
12
septic aseptic
12
aseptic inflammation
8
radiochemical purity
8
stabilizing agent
8
inflammatory lesions
8
agent
5
septic
5
synthesis tc-roxithromycin
4
tc-roxithromycin novel
4

Similar Publications

Background: Objective structured clinical examinations (OSCEs) are a widely recognized and accepted method to assess clinical competencies but are often resource-intensive.

Objective: This study aimed to evaluate the feasibility and effectiveness of a virtual reality (VR)-based station (VRS) compared with a traditional physical station (PHS) in an already established curricular OSCE.

Methods: Fifth-year medical students participated in an OSCE consisting of 10 stations.

View Article and Find Full Text PDF

Predicting intra-abdominal candidiasis in elderly septic patients using machine learning based on lymphocyte subtyping: a prospective cohort study.

Front Pharmacol

December 2024

Department of Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.

Objective: Intra-abdominal candidiasis (IAC) is difficult to predict in elderly septic patients with intra-abdominal infection (IAI). This study aimed to develop and validate a nomogram based on lymphocyte subtyping and clinical factors for the early and rapid prediction of IAC in elderly septic patients.

Methods: A prospective cohort study of 284 consecutive elderly patients diagnosed with sepsis and IAI was performed.

View Article and Find Full Text PDF
Article Synopsis
  • Sepsis, a severe condition causing many deaths worldwide, requires effective biomarkers for predicting its progression to septic shock, which current methods have struggled to provide.
  • Researchers developed a machine learning model named SepxFindeR using data from several transcriptomics datasets to better distinguish between sepsis and septic shock.
  • The model identified six key genes related to immune response, demonstrating high accuracy in predicting disease stages, and allows for effective patient identification using blood samples.
View Article and Find Full Text PDF
Article Synopsis
  • Sepsis-induced DIC is a serious condition with high morbidity and mortality, and factors like endothelial injury and extracellular vesicles (EV) are crucial in its development.
  • The study examined the role of E-selectin, EV, tissue factor (TF), and tissue factor pathway inhibitor (TFPI) in identifying sepsis-induced coagulopathy by analyzing plasma samples from 87 sepsis patients.
  • Findings indicated that while only TFPI and TF-PCA levels could effectively discriminate between patients with and without DIC, higher levels of TFPI specifically correlated with worsening DIC, suggesting that these markers could enhance diagnosis and treatment strategies in septic patients.
View Article and Find Full Text PDF

Background: Patients undergoing colectomy are at risk of numerous major complications. However, existing binary risk stratification models do not predict when a patient may be at highest risks of each complication. Accurate prediction of the timing of complications facilitates targeted, resource-efficient monitoring.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!