The State of the Art of Molecular Fecal Investigations for () Antibiotic Resistances.

Int J Mol Sci

Section of Gastroenterology, Department of Precision and Regenerative Medicine and Ionian Area, University of Bari, 70124 Bari, Italy.

Published: February 2023

A new paradigm shift for the treatment of () infection would be timely due to a progressive increase in antibiotic resistance. Such a shift in the perspective of the approach should include the preliminary assessment of antibiotic resistance. However, the availability of sensitivity tests is not widespread and the guidelines have always indicated empirical treatments without taking into account the need to make sensitivity tests accessible, i.e., the necessary starting point for improving results in different geographical areas. Currently, the traditional tools for this purpose (culture) are based on performing an invasive investigation (endoscopy) and often involve technical difficulties; thus, they were only confined to the settings where multiple attempts at eradication have failed. In contrast, genotypic resistance testing of fecal samples using molecular biology methods is much less invasive and more acceptable to patients. The purpose of this review is to update the state of the art of molecular fecal susceptibility testing for the management of this infection and to extensively discuss the potential benefits of their large-scale deployment, i.e., novel pharmacological opportunities.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002064PMC
http://dx.doi.org/10.3390/ijms24054361DOI Listing

Publication Analysis

Top Keywords

state art
8
art molecular
8
molecular fecal
8
antibiotic resistance
8
sensitivity tests
8
fecal investigations
4
investigations antibiotic
4
antibiotic resistances
4
resistances paradigm
4
paradigm shift
4

Similar Publications

PreTKcat: A pre-trained representation learning and machine learning framework for predicting enzyme turnover number.

Comput Biol Chem

January 2025

College of Artificial Intelligence, Tianjin University of Science and Technology, No. 9, 13th Street, Tianjin Economic-Technological Development Area, Tianjin, 300457, China. Electronic address:

The enzyme turnover number (k) is crucial for understanding enzyme kinetics and optimizing biotechnological processes. However, experimentally measured k values are limited due to the high cost and labor intensity of wet-lab measurements, necessitating robust computational methods. To address this issue, we propose PreTKcat, a framework that integrates pre-trained representation learning and machine learning to predict k values.

View Article and Find Full Text PDF

Style mixup enhanced disentanglement learning for unsupervised domain adaptation in medical image segmentation.

Med Image Anal

December 2024

Department of Electrical Engineering, Yale University, New Haven, CT, USA; Department of Biomedical Engineering, Yale University, New Haven, CT, USA. Electronic address:

Unsupervised domain adaptation (UDA) has shown impressive performance by improving the generalizability of the model to tackle the domain shift problem for cross-modality medical segmentation. However, most of the existing UDA approaches depend on high-quality image translation with diversity constraints to explicitly augment the potential data diversity, which is hard to ensure semantic consistency and capture domain-invariant representation. In this paper, free of image translation and diversity constraints, we propose a novel Style Mixup Enhanced Disentanglement Learning (SMEDL) for UDA medical image segmentation to further improve domain generalization and enhance domain-invariant learning ability.

View Article and Find Full Text PDF

Stereo-EEG around the world: State of the art in Italy.

Neurophysiol Clin

January 2025

Neuroscience and Human Genetics Department, Meyer Children's Hospital IRCCS, Full Member of European Reference Network on Rare and Complex Epilepsies, EpiCARE, viale Pieraccini 24, 50139, Florence, Italy; Neurofarba Department, University of Florence, viale Pieraccini 6, 50139, Florence, Italy.

Stereo-EEG is not just a diagnostic examination but a complex methodology, requiring an accurate synthesis of many data (anatomical, clinical, neurophysiological, cognitive, metabolic, and genetic). The implantation scheme is decided based on a hypothesis (or hypotheses) of epileptogenic zone localization. Subsequently, intracerebral electrical stimulation is used to define the extent of highly functional cortical regions and to reproduce the clinical symptoms and signs associated with seizures.

View Article and Find Full Text PDF

Objectives: We assessed HIV-1 drug resistance profiles among people living with HIV (PLWH) with detectable viral load (VL) and on dolutegravir-based antiretroviral therapy (ART) in Botswana.

Methods: The study utilised available 100 residual HIV-1 VL samples from unique PLWH in Francistown who had viraemia at-least 6 months after initiating ART in Botswana's national ART program from November 2023 to January 2024. Viraemia was categorized as low-level viraemia (LLV) (VL: 200-999 copies/mL) or virologic failure (VF) (VL ≥1000 copies/mL).

View Article and Find Full Text PDF

Technological advances in clinical individualized medication for cancer therapy: from genes to whole organism.

Per Med

January 2025

Department of Clinical Pharmacy, Zhejiang Provincial Key Laboratory for Drug Evaluation and Clinical Research, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Efforts have been made to leverage technology to accurately identify tumor characteristics and predict how each cancer patient may respond to medications. This involves collecting data from various sources such as genomic data, histological information, functional drug profiling, and drug metabolism using techniques like polymerase chain reaction, sanger sequencing, next-generation sequencing, fluorescence in situ hybridization, immunohistochemistry staining, patient-derived tumor xenograft models, patient-derived organoid models, and therapeutic drug monitoring. The utilization of diverse detection technologies in clinical practice has made "individualized treatment" possible, but the desired level of accuracy has not been fully attained yet.

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!