Longitudinal associations of serum Irisin and adiponectin with incident metabolic syndrome in middle-aged and older adults over three years

Irisin and adiponectin have been proposed as potential therapeutic targets due to their roles in enhancing energy expenditure and improving insulin sensitivity. However, their predictive value for metabolic syndrome (MetS) in middle-aged and older adults remains unclear. This prospective cohort study investigated cross-sectional and 3-year longitudinal associations between serum irisin and adiponectin levels and MetS in an aging population. A total of 348 participants from the Hallym Aging Study were analyzed cross-sectionally, and 188 individuals without MetS at baseline were followed longitudinally. Cross-sectionally, each 1-standard deviation (SD) increase in log-transformed irisin was associated with higher odds of MetS (OR 1.35, 95% CI 1.02-1.80), while adiponectin showed an inverse association (OR 0.71, 95% CI 0.54-0.94). Longitudinally, participants in the highest irisin tertile had increased risk of incident MetS (OR 3.85, 95% CI 1.20-13.64), and each 1-SD increase in irisin was associated with higher MetS incidence (OR 2.10, 95% CI 1.17-4.03). However, each 1-SD increase in adiponectin was not significantly associated with MetS after adjusting for confounders. While further studies should confirm our findings, the results presented here suggest that irisin may be a useful predictor of MetS in older adults, while adiponectin's protective role is less clear.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-12-19
DOI
https://doi.org/10.1038/s41598-025-27841-w
Primary Topic
Adipose Tissue and Metabolism
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Longitudinal associations of serum Irisin and adiponectin with incident metabolic syndrome in middle-aged and older adults over three years

Jwa-Kyung Kim, Hong Ji Song, Hye‐Mi Noh, Yejin Kim et al.
Scientific Reports
Adipose Tissue and Metabolism
article

Longitudinal associations of serum Irisin and adiponectin with incident metabolic syndrome in middle-aged and older adults over three years

Jwa-Kyung Kim, Hong Ji Song, Hye‐Mi Noh, Yejin Kim, Dong-Hyun Kim, Kyung Hee Park, Jinyoung Jeong
article en

Abstract

Irisin and adiponectin have been proposed as potential therapeutic targets due to their roles in enhancing energy expenditure and improving insulin sensitivity. However, their predictive value for metabolic syndrome (MetS) in middle-aged and older adults remains unclear. This prospective cohort study investigated cross-sectional and 3-year longitudinal associations between serum irisin and adiponectin levels and MetS in an aging population. A total of 348 participants from the Hallym Aging Study were analyzed cross-sectionally, and 188 individuals without MetS at baseline were followed longitudinally. Cross-sectionally, each 1-standard deviation (SD) increase in log-transformed irisin was associated with higher odds of MetS (OR 1.35, 95% CI 1.02-1.80), while adiponectin showed an inverse association (OR 0.71, 95% CI 0.54-0.94). Longitudinally, participants in the highest irisin tertile had increased risk of incident MetS (OR 3.85, 95% CI 1.20-13.64), and each 1-SD increase in irisin was associated with higher MetS incidence (OR 2.10, 95% CI 1.17-4.03). However, each 1-SD increase in adiponectin was not significantly associated with MetS after adjusting for confounders. While further studies should confirm our findings, the results presented here suggest that irisin may be a useful predictor of MetS in older adults, while adiponectin's protective role is less clear.

Scientific ReportsVol. 15(1)
Hallym University (KR), Sacred Heart Hospital (NG), Sacred Heart Hospital (US), Sacred Heart Hospital (US), Hallym University Sacred Heart Hospital (KR), Hallym University Medical Center (KR)
Hallym University
Openalex Percentile: Top 49%
Adipose Tissue and Metabolism
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.