（多）酚类摄入量、体重和身体活动的变化与炎症指标的前瞻性关联。

Prospective association of changes in (poly)phenol intake, body weight and physical activity with inflammatory profile.

作者信息

Rubín-García María, Vitelli-Storelli Facundo, Álvarez-Álvarez Laura, Fitó Montserrat, Vázquez-Ruiz Zenaida, Salas-Salvadó Jordi, Corella Dolores, Serra-Majem Lluis, Warnberg Julia, Romaguera Dora, Estruch Ramón, Pintó Xavier, Martínez J Alfredo, Vázquez Clotilde, Vidal Josep, Tur Josep A, Alonso-Gómez Ángel M, Ros Emilio, Vioque Jesús, López-Miranda José, Bueno-Cavanillas Aurora, Tinahones Francisco J, Lapetra José, Daimiel Lidia, Delgado-Rodríguez Miguel, Matía-Martín Pilar, Babio Nancy, Schröder Helmut, Lamuela-Raventós Rosa M, Martín-Sánchez Vicente, Zamora-Ros Raúl

机构信息

Group of Investigation in Interactions Gene-Environment and Health (GIIGAS), Institute of Biomedicine (IBIOMED), Universidad de León, León, Spain; CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain.

Group of Investigation in Interactions Gene-Environment and Health (GIIGAS), Institute of Biomedicine (IBIOMED), Universidad de León, León, Spain.

出版信息

Nutr Metab Cardiovasc Dis. 2025 Apr;35(4):103837. doi: 10.1016/j.numecd.2024.103837. Epub 2024 Dec 20.

DOI:10.1016/j.numecd.2024.103837

PMID:39800617

Abstract

BACKGROUNDS AND AIM

To prospectively evaluate the associations between changes in (poly)phenol intake, body weight(BW), and physical activity(PA) with changes in an inflammatory score after 1-year.

METHODS AND RESULTS

This is a prospective observational analysis involving 484 participants from the PREDIMED-Plus with available inflammatory measurements. (Poly)phenol intake was estimated using a validated semi-quantitative food frequency questionnaire and the Phenol-Explorer database. An inflammatory score was calculated based on 8 blood biomarkers (IL-6, IL-8, IL-18, MCP-1, C-peptide, hs-CRP, leptin, and RANTES). The association between BW, PA, (poly)phenol intake and inflammatory score was evaluated using structural equations. Mediation analyses were performed to assess the relationship between change in (poly)phenol intake and inflammatory score was mediated by the change in BW. A higher increase in total (poly)phenol intake was related to a decrease in the inflammatory score (β = -0.005mg/1000 Kcal; CI95 % = -0.100,0.000) along with a decrease in BW (β = -0.006mg/1000 Kcal; CI95 % = -0.010,-0.003). Increased PA was associated with a lower inflammatory score (β = -0.129MET-min/d; CI95 % = -0.238,-0.021) and BW (β = -0.248MET-min/d; CI95 % = -0.343,-0.152). Finally, a decrease in BW was associated with a decrease in the inflammatory score (β = 0.240 kg; CI95 % = 0.155,0.325). Mediation analyses revealed that changes in BW explained 22 % of the overall association between changes in (poly)phenol intake and inflammatory score.

CONCLUSIONS

An inverse association between changes in (poly)phenol intake and inflammatory status was observed, with BW playing a significant mediating role, emphasising the impact of BW reduction on inflammation reduction.

摘要

背景与目的

前瞻性评估1年后（多）酚类摄入量、体重（BW）和身体活动（PA）的变化与炎症评分变化之间的关联。

方法与结果

这是一项前瞻性观察性分析，纳入了484名来自PREDIMED-Plus且有可用炎症测量数据的参与者。使用经过验证的半定量食物频率问卷和酚类物质探索者数据库估算（多）酚类摄入量。基于8种血液生物标志物（白细胞介素-6、白细胞介素-8、白细胞介素-18、单核细胞趋化蛋白-1、C肽、高敏C反应蛋白、瘦素和调节激活正常T细胞表达和分泌因子）计算炎症评分。使用结构方程评估体重、身体活动、（多）酚类摄入量与炎症评分之间的关联。进行中介分析以评估（多）酚类摄入量变化与炎症评分之间的关系是否由体重变化介导。总（多）酚类摄入量的更高增加与炎症评分降低相关（β = -0.005mg/1000千卡；95%置信区间 = -0.100,0.000），同时体重降低（β = -0.006mg/1000千卡；95%置信区间 = -0.010,-0.003）。身体活动增加与较低的炎症评分（β = -0.129梅脱-分钟/天；95%置信区间 = -0.238,-0.021）和体重（β = -0.248梅脱-分钟/天；95%置信区间 = -0.343,-0.152）相关。最后，体重降低与炎症评分降低相关（β = 0.240千克；95%置信区间 = 0.155,0.325）。中介分析显示，体重变化解释了（多）酚类摄入量变化与炎症评分总体关联的22%。