Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
The cell envelope of Gram-negative bacteria is a formidable biological barrier, inhibiting the action of antibiotics by impeding their permeation into the intracellular environment. In-depth understanding of permeation through this barrier remains a challenge, despite its critical role in antibiotic activity. We therefore designed a divisible in vitro permeation model of the Gram-negative bacterial cell envelope, mimicking its three essential structural elements, the inner membrane and the periplasmic space as well as the outer membrane, on a Transwell setup. The model was characterized by contemporary imaging techniques and employed to generate reproducible quantitative and time-resolved permeation data for various fluorescent probes and anti-infective molecules of different structure and physicochemical properties. For a set of three fluorescent probes, the permeation through the overall membrane model was found to correlate with in bacterio permeation. Even more interestingly, for a set of six Pseudomonas quorum sensing inhibitors, such permeability data were found to be predictive for their corresponding in bacterio activities. Further exploration of the capabilities of the overall model yielded a correlation between the permeability of porin-independent antibiotics and published in bacterio accumulation data; a promising ability to provide structure-permeability information was also demonstrated. Such a model may therefore constitute a valuable tool for the development of novel anti-infective drugs.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1021/acsinfecdis.7b00165 | DOI Listing |
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