Byung-Joon Ko1, Kyung Hee Park2, Sangah Shin3, Lesya Zaichenko4, Cynthia R Davis5, Judith A Crowell6, Hyojee Joung7, Christos S Mantzoros8. 1. Division of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA; Department of Family Medicine, College of Medicine, Korea University, Seoul 136-705, Republic of Korea; Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 100-742, Republic of Korea. 2. Division of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA; Department of Family Medicine, Hallym University Sacred Heart Hospital, Hallym University, Gyeonggi-do 431-070, Republic of Korea. 3. AXA Department of Health and Human Security, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan; Institute of Health and Environment and Graduate School of Public Health, Seoul National University, Seoul 151-742, Republic of Korea. 4. Division of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA. 5. Judge Baker Children's Center, Boston, MA 02120, USA. 6. Judge Baker Children's Center, Boston, MA 02120, USA; Department of Psychiatry and Behavioral Science, Stony Brook University School of Medicine, Stony Brook, NY 11794, USA. 7. Institute of Health and Environment and Graduate School of Public Health, Seoul National University, Seoul 151-742, Republic of Korea. 8. Division of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA; Section of Endocrinology, Boston VA Healthcare System, Harvard Medical School, Boston, MA 02130, USA. Electronic address: cmantzor@bidmc.harvard.edu.
Abstract
BACKGROUND & AIMS: We examined the effects of diet quality and dietary patterns in relation to biomarkers of risk including leptin, soluble intracellular adhesion molecule 1 (sICAM-1), C-reactive protein (CRP), and irisin. METHODS: We analyzed data from 196 adults cross-sectionally. Dietary patterns were identified by factor analysis and diet quality scores were generated using a validated food-frequency questionnaire. RESULTS: Both the alternate healthy eating index-2010 (AHEI-2010) and the Dietary Approaches to Stop Hypertension (DASH) scores were negatively related to CRP, even after controlling for body mass index and total energy intake. Similarly, the prudent diet pattern was negatively related to leptin, sICAM-1, and CRP, whereas the Western diet pattern showed positive associations with these markers; however, after adjusting for all confounders, the associations only remained significant for leptin and sICAM-1. Irisin was positively associated with DASH and the prudent diet after controlling for all confounders (standardized β = 0.23, P = 0.030; standardized β = 0.25, P = 0.021, respectively). Irisin showed positive associations with increasing fruit consumption, whereas the levels of irisin decreased as meat consumption increased. CONCLUSIONS: Irisin was directly associated with healthy diet types and patterns. Further studies regarding these mechanisms are warranted. This trial is registered at http://www.clinicaltrials.gov. Identifier: NCT01853332. Published by Elsevier Ltd.
BACKGROUND & AIMS: We examined the effects of diet quality and dietary patterns in relation to biomarkers of risk including leptin, soluble intracellular adhesion molecule 1 (sICAM-1), C-reactive protein (CRP), and irisin. METHODS: We analyzed data from 196 adults cross-sectionally. Dietary patterns were identified by factor analysis and diet quality scores were generated using a validated food-frequency questionnaire. RESULTS: Both the alternate healthy eating index-2010 (AHEI-2010) and the Dietary Approaches to Stop Hypertension (DASH) scores were negatively related to CRP, even after controlling for body mass index and total energy intake. Similarly, the prudent diet pattern was negatively related to leptin, sICAM-1, and CRP, whereas the Western diet pattern showed positive associations with these markers; however, after adjusting for all confounders, the associations only remained significant for leptin and sICAM-1. Irisin was positively associated with DASH and the prudent diet after controlling for all confounders (standardized β = 0.23, P = 0.030; standardized β = 0.25, P = 0.021, respectively). Irisin showed positive associations with increasing fruit consumption, whereas the levels of irisin decreased as meat consumption increased. CONCLUSIONS:Irisin was directly associated with healthy diet types and patterns. Further studies regarding these mechanisms are warranted. This trial is registered at http://www.clinicaltrials.gov. Identifier: NCT01853332. Published by Elsevier Ltd.
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