A PHP Error was encountered

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

Unveiling the endocrine connections of NAFLD: evidence from a comprehensive mendelian randomization study. | LitMetric

Unveiling the endocrine connections of NAFLD: evidence from a comprehensive mendelian randomization study.

Biomed Eng Lett

Department of Gastroenterology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006 China.

Published: January 2025

Background: NAFLD is gaining recognition as a complex, multifactorial condition with suspected associations with endocrine disorders. This investigation employed MR analysis to explore the potential causality linking NAFLD to a spectrum of endocrine diseases, encompassing T1D, T2D, obesity, graves' disease, and acromegaly.

Methods: Our methodology leveraged a stringent IV selection process, adhering to the STROBE-MR guidelines. The MR analysis was conducted utilizing three distinct methods: IVW, WM, and MR-Egger. The IVW method was prioritized as the primary analytical approach. We conducted MR analyses to analyze the causal relationship between NAFLD and metabolic disorders. We also examined 1400 metabolites implicated in NAFLD. Metabolic pathway analysis was performed using the MetaboAnalyst database.

Results: The findings indicated that T2D (OR = 1.211, 95%CI: 0.836-1.585) and obesity (OR = 1.245, 95%CI: 0.816-1.674) are associated with an increased risk of NAFLD development. Further exploration into the the 1400 metabolites revealed that cys-gly and diacetylornithine are predictive of NAFLD, T2D, and obesity, whereas isovalerylcarnitine exhibited an inverse association, potentially inhibiting disease development. Metabolic pathways involving alanine, aspartate, and glutamate metabolism were identified as pivotal regulators in the pathophysiology of NAFLD, T2D, and obesity.

Conclusion: The present study generated innovative viewpoints on the etiology of NAFLD. Our findings underscore the significant role of T2D and obesity in NAFLD pathogenesis through metabolic pathways, presenting opportunities for targeted therapeutic strategies and warranting further investigation.

Supplementary Information: The online version contains supplementary material available at 10.1007/s13534-024-00442-8.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11704114PMC
http://dx.doi.org/10.1007/s13534-024-00442-8DOI Listing

Publication Analysis

Top Keywords

t2d obesity
12
nafld
10
nafld metabolic
8
1400 metabolites
8
nafld t2d
8
metabolic pathways
8
t2d
5
unveiling endocrine
4
endocrine connections
4
connections nafld
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!