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: 1075
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3195
Function: GetPubMedArticleOutput_2016
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: Post-stroke cognitive impairment (PSCI), a common complication following stroke, significantly impacts patients' quality of life and prognosis. Research indicates that neuroregulation and protein metabolic disorders play crucial roles in the development of PSCI.
Purpose: This study aimed to evaluate the reliability of the Regional Meningoarterial Score (rLMC) in determining collateral circulation status in acute ischaemic stroke patients.
Method: Participants were selected based on specific criteria including MRI-detected recent cerebral infarction, absence of prior large-scale subcortical infarction or haemorrhage, and no history of Alzheimer's disease or cognitive impairment.
Results: The results showed that cognitive impairment group (CI group) exhibited significantly lower serum acetylcholine levels compared to normal control group (CN group), while β-amyloid protein levels were markedly higher. CI group also demonstrated reduced expression of neuroregulatory factors.
Conclusion: These findings demonstrate that neuroregulatory factors and protein metabolites can serve as potential biomarkers for early diagnosis and intervention, effectively predicting post-stroke cognitive impairment.
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http://dx.doi.org/10.1080/13813455.2025.2556009 | DOI Listing |