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Effects of nut consumption on selected inflammatory markers: a systematic review and meta-analysis of randomized controlled trials

Xiao Y, Xia J, Ke Y, Cheng J, Yuan J, Wu S, Lv Z, Huang S, Kim JH, Wong SY, Yeoh EK, Colditz GA, Su X

Nutrition (Burbank, Los Angeles County, Calif.) · 27 citas

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Cómo se estudió

Diseño
Metaanálisis (indexado por PubMed)
Estudiado en
Personas
Resultado principal
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Quién lo pagó

Financiación
Financiación independiente
Gobierno
National Natural Science Foundation of China
Gobierno
Sanming Project of Medicine in Shenzhen
Gobierno
Shenzhen Science and Technology Planning Project
Subvenciones
Sanming Project of Medicine in Shenzhen (SZSM201611068); National Natural Science Foundation of China (81402672)

Según 3 financiadores declarados.

Publicación

Publicado
2018-03-27 · Nutrition · vol. 54 · págs. 129–143
Editorial
Elsevier BV
Citado
36 citas · más que el 57% de estudios similares · 0.7× el promedio de su campo
Referencias
67 trabajos
Acceso
De pago
Áreas de investigación
Nuts composition and effects · Nutritional Studies and Diet · Fatty Acid Research and Health
Palabras clave
nut consumption, inflammatory markers, ICAM-1, VCAM-1, mixed nuts, dietary intervention, inflammation
MeSH
humans, nuts, inflammation, intercellular adhesion molecule-1, vascular cell adhesion molecule-1, inflammation mediators, diet, eating, adult, middle aged, female, male, randomized controlled trials as topic, biomarkers

13 autores

  • Yunjun Xiao🇨🇳Shenzhen Center for Disease Control and Prevention
  • Junjie Xia🇨🇳Shenzhen Center for Disease Control and Prevention
  • Yuebin Ke🇨🇳Shenzhen Center for Disease Control and Prevention
  • Jinquan Cheng🇨🇳Shenzhen Center for Disease Control and Prevention
  • Jianhui Yuan🇨🇳Shenzhen Center for Disease Control and Prevention
  • Shuang Wu🇨🇳Shenzhen Center for Disease Control and Prevention
  • Ziquan Lv🇨🇳Shenzhen Center for Disease Control and Prevention
  • Suli Huang🇨🇳Shenzhen Center for Disease Control and Prevention
  • Jean H. Kim🇭🇰Chinese University of Hong Kong
  • Samuel Yeung Shan Wong🇭🇰Chinese University of Hong Kong
  • Eng‐Kiong Yeoh🇭🇰Chinese University of Hong Kong
  • Graham A. Colditz🇺🇸 · autor de correspondenciaWashington University in St. Louis; Alvin J. Siteman Cancer Center
  • Xuefen Su🇭🇰 · autor de correspondenciaChinese University of Hong Kong

Resumen

El texto original del estudio, en el idioma en que se publicó.

Objective

Several randomized controlled trials (RCTs) have assessed the effects of nut consumption on inflammatory markers. However, the results have been inconsistent. The aim of this meta-analysis of RCTs was to quantitatively evaluate the effects of nut consumption on selected inflammatory markers.

Methods

PubMed, Embase, Cochrane Library database, and Google Scholar were searched for published RCTs that reported the effects of nuts on inflammatory markers as primary or secondary outcomes in an adult population (aged ≥18 y). Summary estimates of weighted mean differences (WMDs) and 95% confidence intervals (CIs) were calculated using random-effects meta-analysis.

Results

Twenty-three RCTs met the inclusion criteria. Overall, nut consumption significantly reduced the levels of intercellular adhesion molecule (ICAM)-1 (WMD, -0.17; 95% CI, -0.32 to -0.03; P = 0.01), but had no significant effect on other inflammatory markers. In the subgroup analyses by nut types, mixed nuts had a significant effect on ICAM-1 reduction. The significant effect of nuts on ICAM-1 reduction was only observed in parallel, but not crossover RCTs. Additionally, nut consumption significantly reduced ICAM-1 and vascular cell adhesion molecule-1 levels in long-term (≥12 wk), but not short-term (<12 wk) RCTs. No significant heterogeneity or publication bias was observed in the studies included.

Conclusions

Nut consumption significantly reduced ICAM-1 levels, but had no effect on other inflammatory markers. More studies are needed to assess the effects of nuts on inflammation.

Resumen vía Europe PMC. Los derechos de autor siguen siendo de los autores o la editorial.

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