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: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
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
Background: The gut microbiota is closely related to aging, but the genetic relationship between gut microbiota and aging has not been well investigated. The aim of the study was to explore the association of microbiota with epigenetic age acceleration (EAA) using the Mendelian randomization.
Method: The independent genetic instruments of gut microbiota were obtained from MiBioGen consortium and the Dutch Microbiome Project. EAA data were derived from genome-wide association study. To assess the causal relationship between gut microbiota and EAA, we applied four different methods of Mendelian Randomization (MR) analysis: the inverse variance weighted method (IVW), the MR-Egger regression, the weighted median analysis (WMA), and the weighted mode. Furthermore, sensitivity analyses were conducted to evaluate heterogeneity and horizontal pleiotropy.
Results: We identified potential causal associations between 12 bacterial taxa and EAA (P and P < 0.05). Among them, species Holdemania_unclassified (OR: 1.31, 95% CI: 1.13-1.52, P = 0.0004) retained a strong positive association with GrimAge acceleration. Family Acidaminococcaceae (OR: 0.64, 95% CI: 0.44-0.93, P = 0.019) and family Clostridiaceae1 (OR: 0.69, 95% CI: 0.49-0.97 P = 0.031) were negative association with GrimAge acceleration. Reverse MR analyses indicated that EAA was associated with 6 bacterial taxa in IVW and WMA. Among them, a strong inverse association was found between Phenoage acceleration and genus Turicibacter (OR: 0.928, 95%CI: 0.888-0.971, P and P < 0.001).
Conclusion: Our study implicates the potential causal effects of specific microbiota on EAA, potentially providing novel insights into the prevention aging through specific gut microbiota.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11607049 | PMC |
http://dx.doi.org/10.1007/s40520-024-02877-6 | DOI Listing |
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