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Published on: July 19, 2024
Serum IGF-1 and the Risk of Cardio-Kidney Outcomes in Metabolic Dysfunction-Associated Steatotic Liver Disease
Yongin Cho1, Hye-Sun Park2, Tae Seop Lim3,4
1Department of Endocrinology and Metabolism, Inha University School of Medicine, Incheon, Republic of Korea.
Insights
Metabolic dysfunction-associated steatotic liver disease (MASLD) significantly increases cardio-kidney risks, especially in individuals with low Insulin-like Growth Factor 1 (IGF-1) levels. Monitoring IGF-1 may improve risk assessment for these patients.
Area of Science:
- Cardiovascular and Metabolic Diseases
- Nephrology
- Hepatology
Background:
- Metabolic dysfunction-associated steatotic liver disease (MASLD) is a growing concern, linked to increased risks of cardiovascular and kidney disease.
- Insulin-like Growth Factor 1 (IGF-1) plays a role in metabolic and vascular health, but its specific impact on long-term cardio-kidney outcomes (CKO) in MASLD patients is not well understood.
Purpose of the Study:
- To investigate the association between MASLD, serum IGF-1 levels, and the risk of developing cardio-kidney outcomes (CKO).
- To determine if IGF-1 levels modify the risk of CKO in individuals with MASLD.
Main Methods:
- A prospective cohort study utilizing UK Biobank data from 214,512 participants without pre-existing cardiovascular or chronic kidney disease (CKD).
- Participants were stratified into MASLD and non-MASLD groups, further categorized by age- and sex-specific tertiles of serum IGF-1.
- Primary outcome was a composite CKO, with secondary outcomes including incident CKD and major adverse cardiovascular events (3P-MACE).
Main Results:
- Over a median 13-year follow-up, MASLD was associated with increased CKO rates across all IGF-1 tertiles, with a significant interaction between MASLD and IGF-1 (P=0.014).
- MASLD independently predicted CKO, with the highest risk observed in the lowest IGF-1 tertile (aHR 1.24). Similar trends were noted for incident CKD and 3P-MACE.
- Associations remained consistent across subgroups, with notably higher CKD risk in those with baseline albuminuria.
Conclusions:
- MASLD is an independent predictor of cardio-kidney outcomes, particularly in individuals with low IGF-1 levels.
- Integrating IGF-1 measurements into clinical assessments could enhance risk stratification for MASLD patients beyond traditional metabolic markers.
Background:
Metabolic dysfunction-associated steatotic liver disease (MASLD) increases cardiovascular and kidney disease risk. Insulin-like growth factor 1 (IGF-1) regulates metabolic and vascular function, but its role in long-term cardio-kidney outcomes (CKO) in MASLD remains unclear. This study examined the association between MASLD, IGF-1 levels and CKO.
Methods:
In this prospective cohort study, we used data from 214 512 UK Biobank participants without baseline cardiovascular or chronic kidney disease (CKD). Participants were categorized into four groups: no-MASLD and MASLD stratified by age- and sex-specific tertiles of serum IGF-1 (T1-T3). The primary outcome was a composite CKO; secondary outcomes were incident CKD and 3-point major adverse cardiovascular events (3P-MACE).
Results:
Over a median 13-year follow-up, 20 395 CKOs occurred. MASLD increased event rates across all IGF-1 tertiles (p < 0.001), with a significant interaction observed between MASLD and IGF-1 levels (P for interaction = 0.014). In multivariable Cox models, MASLD remained independently associated with CKO risk, strongest in the lowest IGF-1 tertile (T1: adjusted hazards ratio [aHR], 1.24 [95% CI: 1.18-1.30] vs. no-MASLD). Similar trends were observed for incident CKD (T1: aHR, 1.35 [95% CI: 1.22-1.49]) and 3P-MACE (T1: aHR, 1.26 [95% CI: 1.18-1.35]). Subgroup analyses indicated consistent associations across sex, BMI and diabetes, with stronger effects in participants < 65 years and markedly greater CKD risk among those with baseline albuminuria.
Conclusion:
MASLD independently predicted CKO, particularly among individuals with low IGF-1 levels. Incorporating IGF-1 into clinical evaluations may improve risk stratification beyond conventional metabolic factors.
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