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膳食模式的生物标志物:随机对照试验的系统评价。

Biomarkers of dietary patterns: a systematic review of randomized controlled trials.

机构信息

The Boden Initiative, Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia.

Sydney Medical School, The University of Sydney, Sydney, New South Wales, Australia.

出版信息

Nutr Rev. 2022 Jul 7;80(8):1856-1895. doi: 10.1093/nutrit/nuac009.

Abstract

CONTEXT

Most methods for assessing dietary intake have considerable measurement error. Dietary biomarkers are objective tools for dietary assessment. Dietary biomarkers of dietary patterns have not been well described, despite modern dietary guidelines endorsing dietary patterns.

OBJECTIVE

This systematic review sought to describe the dietary biomarkers commonly used to assess dietary patterns, and the novel biomarkers of dietary patterns identified by exploratory studies.

DATA SOURCES

MEDLINE, Embase, Cochrane Central, PreMEDLINE, and CINAHL databases were searched.

DATA EXTRACTION

Data extraction and bias assessment were undertaken in duplicate.

DATA ANALYSIS

A qualitative approach was applied, without statistical analysis.

CONCLUSION

In controlled settings, dietary biomarkers of single nutrients or of individual foods or food groups are commonly used to assess compliance with dietary patterns. However, currently, there are no dietary biomarkers or biomarker profiles that are able to identify the specific dietary pattern that has been consumed by an individual. Future work should seek to validate novel dietary biomarkers and biomarker profiles that are indicative of specific dietary patterns and their characteristics. A dietary biomarker panel consisting of multiple biomarkers is almost certainly necessary to capture the complexity of dietary patterns.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO registration no. CRD42019129839.

摘要

背景

大多数评估饮食摄入的方法都存在相当大的测量误差。饮食生物标志物是饮食评估的客观工具。尽管现代饮食指南支持饮食模式,但饮食模式的饮食生物标志物尚未得到很好的描述。

目的

本系统评价旨在描述常用于评估饮食模式的饮食生物标志物,以及探索性研究确定的饮食模式的新型生物标志物。

数据来源

检索了 MEDLINE、Embase、Cochrane 中央、PreMEDLINE 和 CINAHL 数据库。

数据提取和偏倚评估均由两人独立进行。

数据分析

采用定性方法,未进行统计分析。

结论

在对照环境下,常用于评估饮食模式依从性的饮食生物标志物是单一营养素或个别食物或食物组的标志物。然而,目前尚无能够识别个体所摄入的特定饮食模式的饮食生物标志物或生物标志物谱。未来的研究应致力于验证新型的饮食生物标志物和生物标志物谱,这些标志物谱能够指示特定的饮食模式及其特征。一个由多个生物标志物组成的饮食生物标志物组合几乎肯定是必要的,以捕捉饮食模式的复杂性。

系统评价注册

PROSPERO 注册号 CRD42019129839。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bcb2/9263887/afc6071f9bed/nuac009f1.jpg

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