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 rise in obesity in human populations has reinvigorated research focused on how nutrition impacts life history traits, including body size, lifespan, reproductive success, stress resistance and propensity for disease. Studies have ranged in their approach from identifying the molecular machinery responding to changes in nutrient levels, to understanding the hormonal changes that occur in response to diet, to mapping the response of differing life history traits over complex dietary landscapes. Connecting insights across these approaches presents significant challenges primarily because we lack information about how signalling pathways respond to dietary complexity. Here, we offer our perspective on how to integrate insights from the cellular to the whole organism to understand the regulation of life history traits.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1016/j.gde.2017.08.001 | DOI Listing |
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