Lanzamiento Enero 2027

Ensayo controlado aleatorizado2017Mezcla carne procesada con no procesadaAcceso abierto

Changes in Lipids and Inflammatory Markers after Consuming Diets High in Red Meat or Dairy for Four Weeks

Turner KM, Keogh JB, Meikle PJ, Clifton PM

Nutrients · 19 citas

Etiquetas de revisión

Mezcla carne procesada con no procesada

Datos neutrales que nuestra revisión registró sobre cómo se hizo este estudio. Describen el método, nunca si nos gusta el resultado.

Cómo se estudió

Diseño
Ensayo controlado aleatorizado (indexado por PubMed)
Estudiado en
Personas
Resultado principal
Marcadores de salud y funcionamiento
Consumo medido con
No se indica

Quién lo pagó

Financiación
Financiación independiente
Universidad u hospital
University of South Australia
Gobierno
Medical Research Council
Gobierno
National Health and Medical Research Council

Según 3 financiadores declarados y la declaración de financiación del texto completo.

Publicación

Publicado
2017-08-17 · Nutrients · vol. 9 · número 8 · pág. 886
Editorial
Multidisciplinary Digital Publishing Institute
Citado
23 citas · más que el 85% de estudios similares · 1.8× el promedio de su campo
Referencias
47 trabajos
Acceso
Acceso abierto (revista) · CC-BY
Áreas de investigación
Adipokines, Inflammation, and Metabolic Diseases · Regulation of Appetite and Obesity · Adipose Tissue and Metabolism
Palabras clave
Insulin resistance, Endocrinology, Internal medicine, Lipidomics, Insulin, Tumor necrosis factor alpha, Biology, Red meat, Phospholipid, Inflammation, Chemistry, Food science, Biochemistry, Medicine
MeSH
humans, insulin resistance, inflammation, cholesterol, dietary carbohydrates, dietary fats, triglycerides, phosphatidylcholines, phosphatidylethanolamines, phosphatidylinositols, tumor necrosis factor-alpha, c-reactive protein, dietary proteins, body mass index, diet, dairy products, adult, middle aged, female, male, biomarkers, red meat

4 autores

  • Kirsty Turner🇦🇺University of South Australia
  • Jennifer B Keogh🇦🇺University of South Australia
  • Peter J. Meikle🇦🇺Baker Heart and Diabetes Institute
  • Peter Marshall Clifton🇦🇺 · autor de correspondenciaUniversity of South Australia

Resumen

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

There is a body of evidence linking inflammation, altered lipid metabolism, and insulin resistance. Our previous research found that insulin sensitivity decreased after a four-week diet high in dairy compared to a control diet and to one high in red meat. Our aim was to determine whether a relationship exists between changes in insulin sensitivity and inflammatory biomarkers, or with lipid species. Fasting Tumor Necrosis Factor alpha (TNF-α), Tumor Necrosis Factor Receptor II (sTNF-RII), C-reactive protein (CRP), and lipids were measured at the end of each diet. TNF-α and the ratio TNF-α/sTNF-RII were not different between diets and TNF-α, sTNF-RII, or the ratio TNF-α/sTNF-RII showed no association with homeostasis model assessment-estimated insulin resistance (HOMA-IR). A number of phosphatidylethanolamine (PE) and phosphatidylinositol (PI) species differed between dairy and red meat and dairy and control diets, as did many phosphatidylcholine (PC) species and cholesteryl ester (CE) 14:0, CE15:0, lysophosphatidylcholine (LPC) 14:0, and LPC15:0. None had a significant relationship (p = 0.001 or better) with log homeostasis model assessment-estimated insulin resistance (HOMA-IR), although LPC14:0 had the strongest relationship (p = 0.004) and may be the main mediator of the effect of dairy on insulin sensitivity. LPC14:0 and the whole LPC class were correlated with CRP. The correlations between dietary change and the minor plasma phospholipids PI32:1 and PE32:1 are novel and may reflect significant changes in membrane composition. Inflammatory markers were not altered by changes in protein source while the correlation of LPC with CRP confirms a relationship between changes in lipid profile and inflammation.

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

Confianza de la comunidad

Cargando…

¿Cuánto confías en los hallazgos de este estudio?

0 · nada10 · totalmente

Comentarios

¿Algo está mal aquí?

Señala este estudio si su información, etiquetas o financiación parecen incorrectas. Un editor revisa cada señalamiento.

Información educativa sobre investigación publicada. No es consejo médico ni una recomendación para empezar o dejar nada.