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膳食炎症指数与血清C反应蛋白关联性的Meta分析

马润泽 巴合古·依明尼亚孜 顾园申 赵辉 阿娜尔·高少 余文慧 戴江红

马润泽, 巴合古·依明尼亚孜, 顾园申, 赵辉, 阿娜尔·高少, 余文慧, 戴江红. 膳食炎症指数与血清C反应蛋白关联性的Meta分析[J]. 中华疾病控制杂志, 2024, 28(9): 1104-1111. doi: 10.16462/j.cnki.zhjbkz.2024.09.017
引用本文: 马润泽, 巴合古·依明尼亚孜, 顾园申, 赵辉, 阿娜尔·高少, 余文慧, 戴江红. 膳食炎症指数与血清C反应蛋白关联性的Meta分析[J]. 中华疾病控制杂志, 2024, 28(9): 1104-1111. doi: 10.16462/j.cnki.zhjbkz.2024.09.017
MA Runze, BAHEGU Yimingniyazi, GU Yuanshen, ZHAO Hui, ANAER Gaoshao, YU Wenhui, DAI Jianghong. Association between dietary inflammation index and serum C reactive protein level: a Meta-analysis[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(9): 1104-1111. doi: 10.16462/j.cnki.zhjbkz.2024.09.017
Citation: MA Runze, BAHEGU Yimingniyazi, GU Yuanshen, ZHAO Hui, ANAER Gaoshao, YU Wenhui, DAI Jianghong. Association between dietary inflammation index and serum C reactive protein level: a Meta-analysis[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(9): 1104-1111. doi: 10.16462/j.cnki.zhjbkz.2024.09.017

膳食炎症指数与血清C反应蛋白关联性的Meta分析

doi: 10.16462/j.cnki.zhjbkz.2024.09.017
基金项目: 

国家自然科学基金 82360662

国家自然科学基金 82160640

科技创新团队“天山创新团队”项目 2022TSYCTD0013

详细信息
    通讯作者:

    戴江红,E-mail: epi102@sina.com

  • 中图分类号: R151;R181

Association between dietary inflammation index and serum C reactive protein level: a Meta-analysis

Funds: 

National Natural Science Foundation of China 82360662

National Natural Science Foundation of China 82160640

Scientific and Technological Innovation Team "Tianshan Innovation Team" Project 2022TSYCTD0013

More Information
  • 摘要:   目的  系统评价膳食炎症指数(dietary inflammatory index, DII)与血清C反应蛋白(C-reactive protein, CRP)的关联性。  方法  检索PubMed、Web of Science和EMBASE数据库,收集有关DII与CRP关联性研究资料,检索时限从建库至2023年10月1日。由两名独立研究者进行文献筛选、数据提取、质量评价,采用R 4.2.2软件进行统计分析,并利用亚组分析、Meta回归分析探索异质性来源。  结果  共纳入20项研究,其中包括15项横断面研究、1项病例对照研究、3项队列研究、1项随机对照试验,累计纳入研究对象59 953例。Meta回归分析结果显示,DII与血清CRP水平相关(OR=1.205, 95% CI: 1.101~1.319)。通过基于研究类型、年龄分布、样本量、DII与膳食调查方法的亚组分析后,I2降低(P>0.1)。  结论  DII与血清CRP水平相关。研究类型、年龄分布、样本量、DII与膳食调查方法的不同可能是影响各研究间异质性的主要因素。
  • 图  1  研究纳入流程图

    Figure  1.  Research into the flow chart

    图  2  膳食炎症指数与血清C反应蛋白关联性的森林图

    Figure  2.  Forest plot of association between dietary inflammation index and serum C-reactive protein

    图  3  漏斗图与填补漏斗图

    A,漏斗图;B,填补漏斗图。

    Figure  3.  Funnel plot and funnel plot after filling

    A, funnel plot; B, funnel plot after filling.

    表  1  纳入研究的基本特征与质量评价

    Table  1.   Research basic information and quality evaluation

    第一作者
    First author
    年份
    Year
    研究类型
    Type of study
    样本量
    Sample size
    人群
    Participants
    年龄/岁
    Age/years
    膳食调查方法
    Dietary survey methods
    质量
    Quantity
    Lazarou[12] 2010 横断面研究
    Cross-sectional study
    83 儿童
    Children
    9.2±1.7 食物频率问卷
    Food frequency questionnaire

    High
    Shivappa[13] 2014 队列研究
    Cohort study
    641 成年人
    Adult
    20~70 24 h膳食回顾调查
    24 h dietary record

    High
    Wirth MD[14] 2014 横断面研究
    Cross-sectional study
    447 警察
    Policemen
    42.4±8.5 食物频率问卷
    Food frequency questionnaire

    High
    Shivappa[15] 2015 队列研究
    Cohort study
    2 524 成年人 35~55 食物频率问卷
    Food frequency questionnaire

    High
    Wirth[16] 2017 横断面研究
    Cross-sectional study
    329 非洲裔美国人
    African American
    54.8±11.4 食物频率问卷
    Food frequency questionnaire

    High
    Shivappa[17] 2017 横断面研究
    Cross-sectional study
    7 215 成年人
    Adult
    >19 24 h膳食回顾调查
    24 h dietary record

    High
    Julia[18] 2017 队列研究
    Cohort study
    1 980 成年人
    Adult
    35~60 24 h膳食回顾调查
    24 h dietary record

    Middle
    Shin D[19] 2017 横断面研究
    Cross-sectional study
    561 孕妇
    Maternal
    27.5±1.4 24 h膳食回顾调查
    24 h dietary record

    High
    Na[20] 2018 横断面研究
    Cross-sectional study
    28 086 成年人
    Adult
    40~79 24 h膳食回顾调查
    24 h dietary record

    High
    Almeida-de-Souza[21] 2018 横断面研究
    Cross-sectional study
    329 青少年
    Adolescents
    12~18 食物频率问卷
    Food frequency questionnaire

    High
    Ren[22] 2018 横断面研究
    Cross-sectional study
    1 086 成年人
    Adult
    >19 24 h膳食回顾调查
    24 h dietary record

    Middle
    Shivappa[23] 2019 横断面研究
    Cross-sectional study
    5 292 成年人
    Adult
    >19 24 h膳食回顾调查
    24 h dietary record

    High
    Turner-McGrievy[24] 2019 随机对照临床试验
    Randomized controlled trial
    98 成年人
    Adult
    ≥21 24 h膳食回顾调查
    24 h dietary record

    High
    Shin[25] 2019 横断面研究
    Cross-sectional study
    3 014 成年人
    Adult
    >19 24 h膳食回顾调查
    24 h dietary record

    Middle
    Yang[26] 2020 横断面研究
    Cross-sectional study
    2 898 孕妇
    Maternal
    28.34±3.12 24 h膳食回顾调查
    24 h dietary record

    High
    Suzuki[27] 2020 横断面研究
    Cross-sectional study
    1 176 成年人
    Adult
    >19 食物频率问卷
    Food frequency questionnaire

    Middle
    Yang[28] 2020 横断面研究
    Cross-sectional study
    307 成年人
    Adult
    >19 称重法
    Weighing

    Middle
    Son[29] 2021 病例对照研究
    Case-control study
    1 254 老年人
    The elderly
    74.6±5.5 简易自记膳食法
    Brief-type self-administered diet history questionnaire

    Middle
    Malcomson[30] 2021 横断面研究
    Cross-sectional study
    75 成年人
    Adult
    >19 食物频率问卷
    Food frequency questionnaire

    Middle
    Hart[31] 2021 横断面研究
    Cross-sectional study
    2 558 成年人
    Adult
    >19 24 h膳食回顾调查
    24 h dietary record

    High
    下载: 导出CSV

    表  2  纳入研究的亚组分析与Meta回归分析

    Table  2.   Subgroup analysis of included studies and Meta-regression analysis

    亚组
    Subgroup
    研究数量
    Number of study
    OR值 value
    (95% CI)
    异质性检验
    Heterogeneity test
    Meta回归分析
    Meta-regression analysis
    I2/% P值 value
    研究设计类型 Type of study 0.288
       横断面研究 Cross-sectional 15 1.252(1.116~1.405) 99 < 0.001
       病例对照研究 Case-control 1 1.170(1.131~1.211)
       队列研究 Cohort 3 1.051(0.971~1.138) 51 0.130
       随机对照试验 randomized controlled trial 1 1.490(0.931~2.384)
    年龄分布/岁 Age distribution/years 0.628
       <19 2 1.260(1.041~1.524) 0 0.390
       ≥19 18 1.205(1.101~1.319) 99 < 0.001
    性别分布 Gender distribution 0.848
       全人群 Whole crowd 18 1.208(1.100~1.325) 99 < 0.001
       女性 Female 2 1.279(0.672~2.435) 77 0.040
    样本量 Sample size < 0.001
       <100 3 1.560(1.139~2.138) 91 < 0.001
       100~<1 000 6 1.193(1.034~1.376) 54 0.050
       ≥1 000 11 1.100(1.052~1.151) 91 < 0.001
    DII 0.847
       DII 17 1.205(1.101~1.363) 99 < 0.001
       E-DII 2 1.155(1.111~1.200) 31 < 0.230
       C-DII 1 1.231(1.010~1.500)
    血清炎症指标 Serum inflammatory markers 0.868
       CRP 10 1.221(1.101~1.319) 98 < 0.001
       hs-CRP 10 1.128(1.067~1.193) 92 < 0.001
    膳食调查方法 Dietary survey method 0.147
       食物频率 Food frequency 7 1.368(1.098~1.703) 96 < 0.001
       24 h膳食回顾24 h dietary record 11 1.107(1.079~1.135) 20 0.260
       其他 Other 2 1.086(0.940~1.254) 99 < 0.001
    注:DII,膳食炎症指数;E-DII,能量调整膳食炎症指数;C-DII,儿童膳食炎症指数;CRP,C反应蛋白;hs-CRP,超敏C反应蛋白。
    Note: DII, dietary inflammation index; E-DII, energy-adjusted dietary inflammation index; C-DII, children′s dietary inflammation index; CRP, C-reactive protein; hs-CRP, high sensitivity C-reactive protein.
    下载: 导出CSV
  • [1] Pietras EM. Inflammation: a key regulator of hematopoietic stem cell fate in health and disease[J]. Blood, 2017, 130(15): 1693-1698. DOI: 10.1182/blood-2017-06-780882.
    [2] Moutachakkir M, Lamrani Hanchi A, Baraou A, et al. Immunoanalytical characteristics of C-reactive protein and high sensitivity C-reactive protein[J]. Ann Biol Clin, 2017, 75(2): 225-229. DOI: 10.1684/abc.2017.1232.
    [3] Pathak A, Agrawal A. Evolution of C-reactive protein[J]. Front Immunol, 2019, 10: 943. DOI: 10.3389/fimmu.2019.00943.
    [4] Galland L. Diet and inflammation[J]. Nutr Clin Pract, 2010, 25(6): 634-640. DOI: 10.1177/0884533610385703.
    [5] Phillips CM, Chen LW, Heude B, et al. Dietary inflammatory index and non-communicable disease risk: a narrative review[J]. Nutrients, 2019, 11(8): 1873. DOI: 10.3390/nu11081873.
    [6] 耿兰, 于玲玲, 赵梅. 膳食炎症潜力评价工具研究进展[J]. 现代预防医学, 2023, 50(20): 3691-3696. DOI: 10.20043/j.cnki.MPM.202305125.

    Geng L, Yu LL, Zhao M. Research progress in tools for evaluating the potential of dietary inflammation[J]. Modern Preventive Medicine, 2023, 50(20): 3691-3696. DOI: 10.20043/j.cnki.MPM.202305125.
    [7] 戴江红, 王璐, 凌曦, 等. 膳食评价指数与慢性病关系的研究进展[J]. 中国慢性病预防与控制, 2022, 30(11): 864-868. DOI: 10.16386/j.cjpccd.issn.1004-6194.2022.11.014.

    Dai JH, Wang L, Ling X, et al. Research progress on the relationship between dietary evaluation index and chronic diseases[J]. Chin J Prev Contr Chron Dis, 2022, 30(11): 864-868. DOI: 10.16386/j.cjpccd.issn.1004-6194.2022.11.014.
    [8] Puddu PE, Shivappa N, Menotti A, et al. Energy-adjusted dietary inflammatory index scores predict long-term cardiovascular disease mortality and other causes of death in an ecological analysis of the seven countries study[J]. Eur J Prev Cardiol, 2021, 28(12): 1342-1350. DOI: 10.1177/2047487320903866.
    [9] Yilmaz FÇ, Açłk M. Children-dietary inflammatory index (C-DⅡ), cardiometabolic risk, and inflammation in adolescents: a cross-sectional study[J]. J Pediatr Endocrinol Metab, 2021, 35(2): 155-162. DOI: 10.1515/jpem-2021-0280.
    [10] 梅凡, 姚明宏, 王雨宁, 等. 随机和非随机干预研究的证据整合研究进展[J]. 中国循证医学杂志, 2023, 23(9): 1102-1109.

    Mei F, Yao MH, Wang YN, et al. Research progress on evidence integration of randomized and non-randomized intervention studies[J]. Chin J Evid-Based Med, 2023, 23(9): 1102-1109.
    [11] Friedrich JO, Adhikari NKJ, Beyene J. Ratio of means for analyzing continuous outcomes in meta-analysis performed as well as mean difference methods[J]. J Clin Epidemiol, 2011, 64(5): 556-564. DOI: 10.1016/j.jclinepi.2010.09.016.
    [12] Lazarou C, Panagiotakos DB, Chrysohoou C, et al. C-reactive protein levels are associated with adiposity and a high inflammatory foods index in mountainous Cypriot children[J]. Clin Nutr, 2010, 29(6): 779-783. DOI: 10.1016/j.clnu.2010.05.001.
    [13] Shivappa N, Steck SE, Hurley TG, et al. A population-based dietary inflammatory index predicts levels of C-reactive protein in the seasonal variation of blood cholesterol study (SEASONS)[J]. Public Health Nutr, 2014, 17(8): 1825-1833. DOI: 10.1017/S1368980013002565.
    [14] Wirth MD, Burch J, Shivappa N, et al. Association of a dietary inflammatory index with inflammatory indices and metabolic syndrome among police officers[J]. J Occup Environ Med, 2014, 56(9): 986-989. DOI: 10.1097/JOM.0000000000000213.
    [15] Shivappa N, Hébert JR, Rietzschel ER, et al. Associations between dietary inflammatory index and inflammatory markers in the Asklepios study[J]. Br J Nutr, 2015, 113(4): 665-671. DOI: 10.1017/S000711451400395X.
    [16] Wirth MD, Shivappa N, Davis L, et al. Construct validation of the dietary inflammatory index among African Americans[J]. J Nutr Health Aging, 2017, 21(5): 487-491. DOI: 10.1007/s12603-016-0775-1.
    [17] Shivappa N, Wirth MD, Hurley TG, et al. Association between the dietary inflammatory index (DⅡ) and telomere length and C-reactive protein from the national health and nutrition examination survey-1999-2002[J]. Mol Nutr Food Res, 2017, 61(4): 10.1002/mnfr.201600630. DOI: 10.1002/mnfr.201600630.
    [18] Julia C, Assmann KE, Shivappa N, et al. Long-term associations between inflammatory dietary scores in relation to long-term C-reactive protein status measured 12 years later: findings from the Supplémentation en Vitamines et Minéraux Antioxydants (SU.Ⅵ.MAX) cohort[J]. Br J Nutr, 2017, 117(2): 306-314. DOI: 10.1017/S0007114517000034.
    [19] Shin D, Hur J, Cho EH, et al. Pre-pregnancy body mass index is associated with dietary inflammatory index and C-reactive protein concentrations during pregnancy[J]. Nutrients, 2017, 9(4): 351. DOI: 10.3390/nu9040351.
    [20] Na W, Kim M, Sohn C. Dietary inflammatory index and its relationship with high-sensitivity C-reactive protein in Korean: data from the health examinee cohort[J]. J Clin Biochem Nutr, 2018, 62(1): 83-88. DOI: 10.3164/jcbn.17-22.
    [21] Almeida-de-Souza J, Santos R, Barros R, et al. Dietary inflammatory index and inflammatory biomarkers in adolescents from LabMed physical activity study[J]. Eur J Clin Nutr, 2018, 72(5): 710-719. DOI: 10.1038/s41430-017-0013-x.
    [22] Ren ZX, Zhao A, Wang Y, et al. Association between dietary inflammatory index, C-reactive protein and metabolic syndrome: a cross-sectional study[J]. Nutrients, 2018, 10(7): 831. DOI: 10.3390/nu10070831.
    [23] Shivappa N, Wirth MD, Murphy EA, et al. Association between the dietary inflammatory index (DⅡ) and urinary enterolignans and C-reactive protein from the national health and nutrition examination survey-2003-2008[J]. Eur J Nutr, 2019, 58(2): 797-805. DOI: 10.1007/s00394-018-1690-5.
    [24] Turner-McGrievy GM, Wirth MD, Shivappa N, et al. Impact of a 12-month inflammation management intervention on the dietary inflammatory index, inflammation, and lipids[J]. Clin Nutr ESPEN, 2019, 30: 42-51. DOI: 10.1016/j.clnesp.2019.02.008.
    [25] Shin D, Lee KW, Brann L, et al. Dietary inflammatory index is positively associated with serum high-sensitivity C-reactive protein in a Korean adult population[J]. Nutrition, 2019, 63-64: 155-161. DOI: 10.1016/j.nut.2018.11.016.
    [26] Yang YQ, Hozawa A, Kogure M, et al. Dietary inflammatory index positively associated with high-sensitivity C-reactive protein level in Japanese from NIPPON DATA2010[J]. J Epidemiol, 2020, 30(2): 98-107. DOI: 10.2188/jea.JE20180156.
    [27] Suzuki K, Shivappa N, Kawado M, et al. Association between dietary inflammatory index and serum C-reactive protein concentrations in the Japan collaborative cohort study[J]. Nagoya J Med Sci, 2020, 82(2): 237-249. DOI: 10.18999/nagjms.82.2.237.
    [28] Yang YY, Kan HY, Yu XL, et al. Relationship between dietary inflammatory index, hs-CRP level in the second trimester and neonatal birth weight: a cohort study[J]. J Clin Biochem Nutr, 2020, 66(2): 163-167. DOI: 10.3164/jcbn.19-100.
    [29] Son BK, Akishita M, Yamanaka T, et al. Association between inflammatory potential of the diet and sarcopenia/its components in community-dwelling older Japanese men[J]. Arch Gerontol Geriatr, 2021, 97: 104481. DOI: 10.1016/j.archger.2021.104481.
    [30] Malcomson FC, Willis ND, McCallum I, et al. Diet-associated inflammation modulates inflammation and WNT signaling in the rectal mucosa, and the response to supplementation with dietary fiber[J]. Cancer Prev Res, 2021, 14(3): 337-346. DOI: 10.1158/1940-6207.CAPR-20-0335.
    [31] Hart MJ, Torres SJ, McNaughton SA, et al. A dietary inflammatory index and associations with C-reactive protein in a general adult population[J]. Eur J Nutr, 2021, 60(7): 4093-4106. DOI: 10.1007/s00394-021-02573-5.
    [32] Garcia-Arellano A, Martínez-González MA, Ramallal R, et al. Dietary inflammatory index and all-cause mortality in large cohorts: the SUN and PREDIMED studies[J]. Clin Nutr, 2019, 38(3): 1221-1231. DOI: 10.1016/j.clnu.2018.05.003.
    [33] Minihane AM, Vinoy S, Russell WR, et al. Low-grade inflammation, diet composition and health: current research evidence and its translation[J]. Br J Nutr, 2015, 114(7): 999-1012. DOI: 10.1017/S0007114515002093.
    [34] Poulsen NB, Lambert MNT, Jeppesen PB. The effect of plant derived bioactive compounds on inflammation: a systematic review and meta-analysis[J]. Mol Nutr Food Res, 2020, 64(18): e2000473. DOI: 10.1002/mnfr.202000473.
    [35] Nicklas BJ, Ambrosius W, Messier SP, et al. Diet-induced weight loss, exercise, and chronic inflammation in older, obese adults: a randomized controlled clinical trial[J]. Am J Clin Nutr, 2004, 79(4): 544-551. DOI: 10.1093/ajcn/79.4.544.
    [36] Turner-McGrievy GM, Wirth MD, Shivappa N, et al. Impact of a 12-month inflammation management intervention on the dietary inflammatory index, inflammation, and lipids[J]. Clin Nutr ESPEN, 2019, 30: 42-51. DOI: 10.1016/j.clnesp.2019.02.008.
    [37] Ferrucci L, Fabbri E. Inflammageing: chronic inflammation in ageing, cardiovascular disease, and frailty[J]. Nat Rev Cardiol, 2018, 15(9): 505-522. DOI: 10.1038/s41569-018-0064-2.
    [38] Okada E, Nakade M, Hanzawa F, et al. National nutrition surveys applying dietary records or 24-h dietary recalls with questionnaires: a scoping review[J]. Nutrients, 2023, 15(22): 4739. DOI: 10.3390/nu15224739.
    [39] Korbecki J, Bajdak-Rusinek K. The effect of palmitic acid on inflammatory response in macrophages: an overview of molecular mechanisms[J]. Inflamm Res, 2019, 68(11): 915-932. DOI: 10.1007/s00011-019-01273-5.
    [40] Cheng WL, Li SJ, Lee TI, et al. Sugar fructose triggers gut dysbiosis and metabolic inflammation with cardiac arrhythmogenesis[J]. Biomedicines, 2021, 9(7): 728. DOI: 10.3390/biomedicines9070728.
    [41] d'Hennezel E, Abubucker S, Murphy LO, et al. Total lipopolysaccharide from the human gut microbiome silences toll-like receptor signaling[J]. mSystems, 2017, 2(6): e00046-e00017. DOI: 10.1128/mSystems.00046-17.
    [42] Mohammadi A, Blesso CN, Barreto GE, et al. Macrophage plasticity, polarization and function in response to curcumin, a diet-derived polyphenol, as an immunomodulatory agent[J]. J Nutr Biochem, 2019, 66: 1-16. DOI: 10.1016/j.jnutbio.2018.12.005.
    [43] Kumar J, Rani K, Datt C. Molecular link between dietary fibre, gut microbiota and health[J]. Mol Biol Rep, 2020, 47(8): 6229-6237. DOI: 10.1007/s11033-020-05611-3.
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出版历程
  • 收稿日期:  2024-04-03
  • 修回日期:  2024-07-25
  • 网络出版日期:  2024-10-24
  • 刊出日期:  2024-09-10

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