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
Systemic sclerosis (SSc) is a complex autoimmune disease characterized by fibrosis, vascular abnormalities, and immune dysfunction, with no definitive cure. Patients with progressive pulmonary fibrosis face a high mortality risk, underscoring the urgent need for effective treatments. Although fibroblasts are recognized as key drivers of fibrosis, the precise molecular mechanisms remain poorly understood. In this study, we employ single-cell RNA sequencing to explore the role of fibroblasts in pulmonary fibrosis. Using a mouse model induced by subcutaneous bleomycin administration, we identify two distinct fibroblast subpopulations: nephronectin-positive (NPNT) and peptidase inhibitor 16-positive cells(PI16). NPNT-positive fibroblasts, located around the alveoli, exhibit increased extracellular matrix expression following bleomycin treatment. To further understand pulmonary fibrosis, subcutaneous and intratracheal bleomycin-induced mouse models are compared. A comparative gene expression analysis reveals shared and unique features between the models, highlighting the complexity of the fibrotic process. These findings offer valuable insights into the molecular mechanisms of SSc-associated pulmonary fibrosis and may inform the development of therapies targeting specific fibroblast subpopulations or pathways.
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Source |
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http://dx.doi.org/10.1016/j.bbrc.2024.151017 | DOI Listing |
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