[Should we interfere with the interleukin-6 receptor during COVID-19: What do we know?].

Rev Mal Respir

Medical and Surgical Intensive Care Unit, groupe hospitalier Paris Saint-Joseph, Paris, France; Endotoxins, Structures and Host Response, Department of Microbiology, Institute for Integrative Biology of the Cell, UMR 9891 CNRS-CEA-Paris Saclay University, 98190 Gif-sur-Yvette, France. Electronic address:

Published: January 2023

COVID-19 is a viral infection with predominant respiratory tropism. In its most severe forms, the initial viral aggression leads to acute respiratory failure due to damage secondary to an exacerbated inflammatory response provoked by the activation of innate, followed by adaptive immunity. The inflammatory response may entail respiratory distress syndrome, if not multivisceral failure and death. IL-6 receptor inhibitors (Tocilizumab and Sarilumab) have been proposed as treatments. Numerous studies have provided new information, which remains heterogeneous and difficult to interpret. This review is aimed at clarifying the potential role of IL-6 receptor inhibitors in severe forms of COVID-19.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9791331PMC
http://dx.doi.org/10.1016/j.rmr.2022.11.085DOI Listing

Publication Analysis

Top Keywords

severe forms
8
inflammatory response
8
il-6 receptor
8
receptor inhibitors
8
[should interfere
4
interfere interleukin-6 receptor
4
interleukin-6 receptor covid-19
4
covid-19 know?]
4
know?] covid-19
4
covid-19 viral
4

Similar Publications

With the use of Anti-D prophylaxis for rhesus D-negative pregnant women, other Rh and non-Rh allo-antibodies have become relatively more important. The index case reports severe hemolytic disease of the newborn due to anti-E antibody in a full-term baby boy born to a COVID-19-positive mother. The antibody screening of the mother performed during Booking of pregnancy at 9 week of gestation was negative.

View Article and Find Full Text PDF

Objective: To investigate the diagnostic value of immunoglobulin E (IgE), fractional of exhaled nitric oxide (FeNO), and peripheral blood eosinophils (EOS) in adult bronchial asthma and to analyze their relationship with asthma severity.

Methods: A retrospective analysis was conducted on 336 patients diagnosed with bronchial asthma and admitted to Xi'an Fourth Hospital from January 2022 to January 2024, forming the asthma group. Additionally, another 127 healthy subjects were selected as the non-asthmatic control group.

View Article and Find Full Text PDF

Shoulder abscesses, commonly resulting from bacterial infections, can occasionally present with atypical etiologies and delayed onset. We report a rare case of a massive polymicrobial shoulder abscess developing two decades after an insect bite, emphasizing its clinical presentation, diagnostic approach, and surgical management. A 65-year-old female presented with severe, progressively worsening right shoulder pain, a 20 cm swelling, and purulent discharge persisting for 15 days.

View Article and Find Full Text PDF

Silicon is widely recognized as a promising anode material for all-solid-state batteries (ASSBs) due to exceptional specific capacity, abundant availability, and environmental sustainability. However, the considerable volume expansion and particle fragmentation of Si during cycling lead to significant performance degradation, limiting its practical application. Herein, the development of a pre-lithiated Si-based composite anode (c-LiSi) is presented, designed to address the key challenges faced by Si-based anodes, namely severe volume changes and low electrochemical stability.

View Article and Find Full Text PDF

Explainable machine learning framework for cataracts recognition using visual features.

Vis Comput Ind Biomed Art

January 2025

Research Institute of Trustworthy Autonomous Systems and Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China.

Cataract is the leading ocular disease of blindness and visual impairment globally. Deep neural networks (DNNs) have achieved promising cataracts recognition performance based on anterior segment optical coherence tomography (AS-OCT) images; however, they have poor explanations, limiting their clinical applications. In contrast, visual features extracted from original AS-OCT images and their transform forms (e.

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!