Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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Background: Genetic diseases collectively affect more than 300 million individuals worldwide, posing a significant health burden, as diagnosis is often challenging and therapeutic options are limited. Recent genetic technological advancements are improving the management of many inherited disorders, including genetic kidney disorders (GKDs), the leading cause of early-onset chronic kidney disease (CKD) and the cause of 10-15% of kidney replacement therapy in adults.
Summary: GKDs fall into different clinical categories, including cystic and fibro-cystic diseases in the setting of ciliopathies, rare conditions caused by the dysfunction of the primary cilium, typically characterized by multiorgan dysfunction. CKD is a significant cause of morbidity and mortality in these patients and a correct diagnosis is crucial for patient's management.
Key Message: The present review analyzes whether advances in genomic technologies have provided benefit in the ciliopathy field, in both modeling renal diseases and improving patient's care.
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http://dx.doi.org/10.1159/000547131 | DOI Listing |