Nitin Shivappa1,2,3, Michael D Wirth4,5,6,7, E Angela Murphy8, Thomas G Hurley4,5, James R Hébert4,5,7. 1. Cancer Prevention and Control Program, University of South Carolina, 915 Greene Street, Room 233, Suite 200, Columbia, SC, 29208, USA. shivappa@mailbox.sc.edu. 2. Department of Epidemiology and Biostatistics, University of South Carolina, 915 Greene Street, Suite 200, Columbia, SC, 29208, USA. shivappa@mailbox.sc.edu. 3. College of Nursing, University of South Carolina, 915 Greene Street, Suite 200, Columbia, SC, 29208, USA. shivappa@mailbox.sc.edu. 4. Cancer Prevention and Control Program, University of South Carolina, 915 Greene Street, Room 233, Suite 200, Columbia, SC, 29208, USA. 5. Department of Epidemiology and Biostatistics, University of South Carolina, 915 Greene Street, Suite 200, Columbia, SC, 29208, USA. 6. College of Nursing, University of South Carolina, 915 Greene Street, Suite 200, Columbia, SC, 29208, USA. 7. Connecting Health Innovations, LLC, 1417 Gregg Street, Columbia, SC, 29201, USA. 8. Department of Pathology, Microbiology, and Immunology, University of South Carolina School of Medicine, Columbia, SC, 29209, USA.
Abstract
BACKGROUND: Enterolignans are important biomarkers of microbiota diversity, with higher levels indicating greater diversity. Diet and inflammation have been shown to play a role in maintaining microbiota diversity. This study examined whether inflammatory potential of diet, as measured by the Dietary Inflammatory Index (DII®) has an impact on levels of urinary enterolignans in the National Health and Nutrition Examination Survey (NHANES) 2003-2008. We also carried out construct validation of the DII with C-reactive protein (CRP). METHODS: Data came from NHANES 2003-2008. Enterolignans [enterodiol (END) and enterolactone (ENL)] and CRP were assayed from urine and serum specimens, respectively. Energy-adjusted DII (E-DII) scores were calculated from food intakes assessed using 24-h dietary recalls and expressed per 1000 calories consumed. Associations were examined using survey-based multivariable linear and logistic regression for enterolignans, and logistic regression for CRP. RESULTS: After multivariable adjustment, higher E-DII scores (i.e., indicating a relatively more pro-inflammatory diet) were associated with lower levels of creatinine-normalized END [beta coefficient (b)DIIquartile4vs1 = - 1.22; 95% CI = - 0.69, - 1.74; Ptrend ≤ 0.001] and ENL (bDIIquartile4vs1 = - 7.80; 95% CI = - 5.33, - 10.26; Ptrend ≤ 0.001). A positive association was also observed when enterolignans were dichotomized based on the cut-off of the 75th percentile value. In this same sample, the E-DII also was associated with CRP ≥ 3 mg/l (ORDIIcontinuous = 1.12; 95% CI 1.05, 1.19). CONCLUSION: In these NHANES data, there was an association between E-DII score and enterolignans. This study also provided construct validation of the E-DII using CRP in a nationally representative sample. The results indicate that dietary inflammatory potential is associated with urinary enterolignans, a potential marker for microbiota diversity. However, studies are required to understand the direct association between DII and microbiota.
BACKGROUND:Enterolignans are important biomarkers of microbiota diversity, with higher levels indicating greater diversity. Diet and inflammation have been shown to play a role in maintaining microbiota diversity. This study examined whether inflammatory potential of diet, as measured by the Dietary Inflammatory Index (DII®) has an impact on levels of urinary enterolignans in the National Health and Nutrition Examination Survey (NHANES) 2003-2008. We also carried out construct validation of the DII with C-reactive protein (CRP). METHODS: Data came from NHANES 2003-2008. Enterolignans [enterodiol (END) and enterolactone (ENL)] and CRP were assayed from urine and serum specimens, respectively. Energy-adjusted DII (E-DII) scores were calculated from food intakes assessed using 24-h dietary recalls and expressed per 1000 calories consumed. Associations were examined using survey-based multivariable linear and logistic regression for enterolignans, and logistic regression for CRP. RESULTS: After multivariable adjustment, higher E-DII scores (i.e., indicating a relatively more pro-inflammatory diet) were associated with lower levels of creatinine-normalized END [beta coefficient (b)DIIquartile4vs1 = - 1.22; 95% CI = - 0.69, - 1.74; Ptrend ≤ 0.001] and ENL (bDIIquartile4vs1 = - 7.80; 95% CI = - 5.33, - 10.26; Ptrend ≤ 0.001). A positive association was also observed when enterolignans were dichotomized based on the cut-off of the 75th percentile value. In this same sample, the E-DII also was associated with CRP ≥ 3 mg/l (ORDIIcontinuous = 1.12; 95% CI 1.05, 1.19). CONCLUSION: In these NHANES data, there was an association between E-DII score and enterolignans. This study also provided construct validation of the E-DII using CRP in a nationally representative sample. The results indicate that dietary inflammatory potential is associated with urinary enterolignans, a potential marker for microbiota diversity. However, studies are required to understand the direct association between DII and microbiota.
Entities:
Keywords:
Dietary inflammatory index; Microbiota; Neterolignans; USA
Authors: Nitin Shivappa; Anna E Prizment; Cindy K Blair; David R Jacobs; Susan E Steck; James R Hébert Journal: Cancer Epidemiol Biomarkers Prev Date: 2014-08-25 Impact factor: 4.254
Authors: Nitin Shivappa; James R Hébert; Ernst R Rietzschel; Marc L De Buyzere; Michel Langlois; Evi Debruyne; Ascensión Marcos; Inge Huybrechts Journal: Br J Nutr Date: 2015-02-02 Impact factor: 3.718
Authors: Jiali Zheng; Anwar T Merchant; Michael D Wirth; Jiajia Zhang; Samuel O Antwi; Azza Shoaibi; Nitin Shivappa; Rachael Z Stolzenberg-Solomon; James R Hebert; Susan E Steck Journal: Int J Cancer Date: 2018-02-02 Impact factor: 7.396
Authors: Nitin Shivappa; Justyna Godos; James R Hébert; Michael D Wirth; Gabriele Piuri; Attilio F Speciani; Giuseppe Grosso Journal: Nutrients Date: 2018-02-12 Impact factor: 5.717
Authors: Stina Bodén; Maria Wennberg; Bethany Van Guelpen; Ingegerd Johansson; Bernt Lindahl; Jonas Andersson; Nitin Shivappa; James R Hebert; Lena Maria Nilsson Journal: Nutr J Date: 2017-04-04 Impact factor: 3.271
Authors: Fangcheng Yuan; Lin Deng; Xiangqing Sun; Zhengyi Chen; Nitin Shivappa; Ashutosh K Sheth; Gregory S Cooper; James R Hebert; Li Li Journal: Cancer Causes Control Date: 2021-04-29 Impact factor: 2.506
Authors: Michael D Wirth; Angela Jessup; Gabrielle Turner-McGrievy; Nitin Shivappa; Thomas G Hurley; James R Hébert Journal: Sleep Date: 2020-11-12 Impact factor: 5.849
Authors: Jiali Zheng; Kristi L Hoffman; Jiun-Sheng Chen; Nitin Shivappa; Akhil Sood; Gladys J Browman; Danika D Dirba; Samir Hanash; Peng Wei; James R Hebert; Joseph F Petrosino; Susan M Schembre; Carrie R Daniel Journal: Br J Nutr Date: 2020-06-01 Impact factor: 3.718
Authors: Gabrielle M Turner-McGrievy; Michael D Wirth; Nitin Shivappa; Caroline G Dunn; Anthony Crimarco; Thomas G Hurley; Delia S West; James R Hussey; James R Hébert Journal: Clin Nutr ESPEN Date: 2019-03-01
Authors: Chloe P Lozano; Lynne R Wilkens; Yurii B Shvetsov; Gertraud Maskarinec; Song-Yi Park; John A Shepherd; Carol J Boushey; James R Hebert; Michael D Wirth; Thomas Ernst; Timothy Randolph; Unhee Lim; Johanna W Lampe; Loïc Le Marchand; Meredith A J Hullar Journal: Am J Clin Nutr Date: 2022-05-01 Impact factor: 8.472