Effect of frusemide on Cl- channel in rat peritoneal mast cells.

Eur Respir J

Dipartimento di Fisiologia e Biochimica Generali, Università degli Studi di Milano, Italy.

Published: December 1996

Frusemide can be used as an antiasthma drug and appears to inhibit the release (conditioned by activation of Cl- channels) of mast cell proinflammatory mediators. We studied the cause of the effects of frusemide, checking its action on Cl- channels. The patch-clamp technique was used to study single-channel currents, and differences in electrical potential of the cellular membrane of rat peritoneal mast cells were measured. In inside-out configuration, outwardly-rectifying Cl- channels were identified whose conductance was 2.4/1.7 pS at positive and negative voltages. In cell-attached configuration, the open probability (Po) of the channel increased with depolarization or with the presence of cyclic adenosine monophosphate (cAMP) in the incubation medium. Po increased with a rise of cytoplasmic free calcium concentration [Ca2+] and was inhibited by 5-nitro-2-(3-phenylpropylamino)-benzoate (NPPB) and by 4-4'-diisothiocyanatoostilbene-2-2'-disulphonic acid (DIDS). These channels seem to be the main cause of mast cell Cl- conductance. Frusemide (10(-5) and 10(-3) M) did not affect Cl- channel activity when using excised patches. In cell-attached configuration experiments, the presence of frusemide (from 10(-5) to 10(-3) M) in the cell incubation medium, increasingly reduced Po (median inhibitory concentration (IC50) = 4.3 x 10(-7) M). In similar conditions, bumetanide also inhibited Po (IC50 = 5.7 x 10(-3) M). The results of this study suggest that frusemide can inhibit mast cell Cl- channels only via an indirect mechanisms, which probably involves an inhibition of a Na(+)-K(+)-2Cl- symport.

Download full-text PDF

Source
http://dx.doi.org/10.1183/09031936.96.09122461DOI Listing

Publication Analysis

Top Keywords

cl- channels
16
mast cell
12
cl- channel
8
rat peritoneal
8
peritoneal mast
8
mast cells
8
cell-attached configuration
8
incubation medium
8
cell cl-
8
frusemide 10-5
8

Similar Publications

Diffraction imaging of cells allows rapid phenotyping by the response of intracellular molecules to coherent illumination. However, its ability to distinguish numerous types of human leukocytes remains to be investigated. Here, we show that accurate classification of three lymphocyte subtypes can be achieved with features extracted from cross-polarized diffraction image (p-DI) pairs.

View Article and Find Full Text PDF

Background: Understanding the genetic etiology of Alzheimer's disease (AD) has been a major focus of research in neurodegenerative diseases. Amid the three common allelic variants of the apolipoprotein E (APOE) gene in humans, called APOE ε2, ε3 and ε4, the ε4 allele is the most common genetic risk factor for late-onset AD, being found in 20% of the world population.

Method: We used Event-Related Potentials (ERP) and Event-Related Spectral Perturbation (ERSP) as features for classification of apolipoprotein E ϵ4 (APOE ε4) allele carriers in AD patients and healthy controls.

View Article and Find Full Text PDF

Biomarkers.

Alzheimers Dement

December 2024

NeuroXT, Seoul, Korea, Republic of (South).

Background: Cerebral microbleeds (CMBs) hold significant clinical relevance, linked to elevated risks of hemorrhages, cognitive decline, and mortality. Notably, with the recent advancement in Alzheimer's treatments, the number of CMBs serves as a crucial safety indicators to assess the risk and occurrence of amyloid-related imaging abnormalities. However, the commonly utilized manual detection process is time-consuming and labor-intensive, prompting the development of various automated detection models.

View Article and Find Full Text PDF

Biomarkers.

Alzheimers Dement

December 2024

Centre for Brain Research (CBR), Indian Institute of Science, Bengaluru, Karnataka, India.

Background: Deep Neural Networks (DNNs) have emerged as powerful tools in the biomedical field, particularly for the early detection of neurodegenerative diseases. Despite their complexity and data-intensive nature, simpler fully connected Convolutional Neural Network (SFCN) architectures have shown effectiveness in accurately discerning between subjects affected by Alzheimer's disease (AD) and healthy controls (HC). This model draws inspiration from the work of Peng H et al.

View Article and Find Full Text PDF

Background: Major Depressive Disorder (MDD) is a complex and multifaceted condition. Traditional screening methods may not capture the full spectrum of symptoms, causing delayed diagnoses or misdiagnoses. Further, MDD is highly prevalent among patients with mild cognitive impairment (MCI), which may then progress to Alzheimer's disease (AD).

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!