P849 - INFLAMMATORY AND CARDIOMETABOLIC-CIRCULATING PROTEOMICS AND SARCOPENIC OBESITY PHENOTYPE: A POPULATION BASED-STUDY.

P849

INFLAMMATORY AND CARDIOMETABOLIC-CIRCULATING PROTEOMICS AND SARCOPENIC OBESITY PHENOTYPE: A POPULATION BASED-STUDY.

E. Benz^1,2,*, E. Poggiogalle¹, F. Frigerio^1,3, J. van Meurs⁴, C. Vallerga⁴, T. Voortman⁵, J. Schoufour⁶, P. Weijs⁶, Y. Boirie⁷, L. Donini¹, F. Rivadeneira⁴

¹Department of Experimental Medicine, Section of Medical Pathology, Endocrinology and Human Nutrition, Sapienza University of Rome, Rome, Italy, ²Department of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands, ³Department of Human Sciences and Promotion of the Quality of Life, San Raffaele Roma Open University, 00166, Rome, Italy, ⁴Department of Internal Medicine, Erasmus Medical Center, Rotterdam, ⁵Department of Epidemiology, Erasmus Medical Center, Rome, ⁶Department of Nutrition and Dietetics, Amsterdam University of Applied Sciences, Amsterdam, Netherlands, ⁷Human Nutrition Unit, University of Clermont Auvergne, Clermont-Ferrand, France

Rationale: Increasing evidence indicates that plasma levels of circulating proteins are associated with sarcopenia and obesity. However, no proteomics studies on sarcopenic obesity (SO) have been conducted. Our aim was to identify associations between SO phenotype and plasma protein levels in a population-based study.

Methods: We performed a cross-sectional analysis including participants from the Rotterdam Study. Olink ProSeek Multiplex analysed 171 circulating proteins. Sex-specific z-scores (Z) for handgrip strength (HGS), appendicular lean mass/weight (ALM/weight), and fat % determined SO phenotype index (SOPi)= Z(HGS)+Z(ALM/weight)-Z(fat %). Hydraulic dynamometer measured HGS, and dual X-ray absorptiometry measured ALM and fat%. Plasma levels of proteins associated with SOPi were adjusted for age, blood cell counts, BMI and e GFR mL/min/1.73m² using multivariable linear regression models. We adjusted and examined the effect modification by HOMA-IR and physical activity. 

Results: In 1962 participants (age 57.2±6.6 years, 58% female), 16 proteins were associated with SOPi. After additional adjustment for HOMA-IR and physical activity, three inflammatory (fibroblast growth factor 21 (FGF.21): b=0.249, p=1.10×10^-07; interleukin-12 subunit beta (IL.12B): b=0.194, p=1.26×10^-05; CXC motif chemokine 9: b=0.162, p=4.36×10^-04) and two cardiometabolic proteins (cystatin C (CST3): b=0.231, p=7.01×10^-07; collagen alpha-1 (XVIII) chain: b=0.225, p=9.0×10^-07) remained significantly associated with SOPi. HOMA-IR interaction with SOPi was identified for FGF.21 (p=0.046), CST3 (p=0.001) and IL.12B (p=0.008).

Conclusion: Five proteins involved in several biological pathways were associated with SOPi, suggesting that they might be used as biomarkers of sarcopenia in obesity after validation in other populations. 

References:  

Donini LM,  et al. Obes Facts. 2022;15(3):321-35.

Huemer MT,  et al. JCSM. 2021;12(4):1011-23.

Disclosure of Interest: None declared