1
|
Mogna-Peláez P, Riezu-Boj JI, Milagro FI, Herrero JI, Elorz M, Benito-Boillos A, Tobaruela-Resola AL, Tur JA, Martínez JA, Abete I, Zulet MA. Inflammatory markers as diagnostic and precision nutrition tools for metabolic dysfunction-associated steatotic liver disease: Results from the Fatty Liver in Obesity trial. Clin Nutr 2024; 43:1770-1781. [PMID: 38861890 DOI: 10.1016/j.clnu.2024.05.042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 05/09/2024] [Accepted: 05/29/2024] [Indexed: 06/13/2024]
Abstract
BACKGROUND & AIMS Metabolic dysfunction-associated steatotic liver disease (MASLD) is a growing public health concern. The disease is silent, and its diagnosis is often delayed. Inflammatory markers constitute an interesting tool to act as subrogate, non-invasive markers. This study aimed to evaluate the changes of inflammatory markers throughout a two-year dietary intervention in subjects presenting MASLD, to determine which of the markers are suitable to predict the disease, and act as a customizing tool for MASLD's dietary treatment. METHODS Ninety-eight subjects with MASLD and forty-five controls from the Fatty Liver in Obesity (FLiO) Study were analyzed. MASLD was diagnosed and graded by ultrasound. The MASLD subjects were randomly assigned to two different dietary strategies, the American Heart Association (AHA diet) or a dietary strategy based on the Mediterranean pattern, which was specially designed for the study (FLiO diet), and then followed for two years. Hepatic status was additionally assessed through Magnetic Resonance Imaging (MRI), elastography, and determination of transaminases. RESULTS & DISCUSSION Inflammatory markers improved throughout the intervention in the MASLD subjects and managed to reach similar levels to controls, especially at 6 and 12 months. Additionally, leptin, adiponectin, M30, and LECT2 managed to significantly diagnose the disease at all time marks of the intervention, making them candidates for subrogate non-invasive markers of the disease. Moreover, baseline chemerin, leptin, LECT2, and M65 were used to build a predictive score to achieve greater weight loss, and therefore, which strategy could be more useful for MASLD 's treatment. The predictive score was significantly able assign a specific diet to 55% of the study participants, meaning that the remaining 45% could achieve the same amount of weight loss following either diet equally. CONCLUSION Inflammatory markers constitute a potential non-invasive tool to be used in MASLD screening and could also constitute an interesting tool for MASLD's treatment customization, being able to predict the effectiveness of a dietary strategy based on the initial inflammatory state of each subject. TRIAL REGISTRATION www. CLINICALTRIALS gov (NCT03183193).
Collapse
Affiliation(s)
- Paola Mogna-Peláez
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain
| | - José I Riezu-Boj
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain; Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain
| | - Fermin I Milagro
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain; Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - José I Herrero
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; Liver Unit, Clínica Universidad de Navarra, 31008 Pamplona, Spain; Biomedical Research Centre Network in Hepatic and Digestive Diseases (CIBERehd), 28029 Madrid, Spain
| | - Mariana Elorz
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; Department of Radiology, Clínica Universidad de Navarra, 31008 Pamplona, Spain
| | - Alberto Benito-Boillos
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; Department of Radiology, Clínica Universidad de Navarra, 31008 Pamplona, Spain
| | - Ana Luz Tobaruela-Resola
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain
| | - Josep A Tur
- Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029 Madrid, Spain; Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands-IUNICS & IDISBA, 07122 Palma, Spain
| | - J Alfredo Martínez
- Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029 Madrid, Spain; Precision Nutrition and Cardiovascular Health Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid Spain
| | - Itziar Abete
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain; Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - M Angeles Zulet
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain; Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029 Madrid, Spain.
| |
Collapse
|
2
|
Vaghef-Mehrabani E, Bell RC, Field CJ, Jarman M, Evanchuk JL, Letourneau N, Giesbrecht GF. Maternal pre-pregnancy diet and prenatal depression: the mediating role of pre-pregnancy weight status and prenatal inflammation. Br J Nutr 2024:1-15. [PMID: 38800987 DOI: 10.1017/s0007114524001028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Depression is a common prenatal psychological complication. We aimed to investigate if maternal pre-pregnancy diet can impact prenatal depressive symptoms and the mediating role of pre-pregnancy BMI and inflammation. We used data (N 1141) from the Alberta Pregnancy Outcomes and Nutrition cohort study. We calculated Mediterranean diet adherence (MED) and dietary inflammatory index (DII) scores using data from pre-pregnancy FFQ. In the third-trimester, we assessed depressive symptoms using Edinburgh Postpartum Depression Scale (EPDS) and inflammation through serum C-reactive protein (CRP) levels. BMI was calculated from self-reported pre-pregnancy weight. Race-stratified analyses (white and people of colour) were run. We observed no association between MED or DII tertiles and depressive symptoms. However, white participants in the MED tertile-3 had lower risk of depression (EPDS < 10) compared with tertile-1 (OR = 0·56, 95 % CI, 0·33, 0·95). White individuals in MED tertile-3 had lower BMI (MD = -1·08; 95 % CI, -1·77, -0·39) and CRP (MD = -0·53; 95 % CI, -0·95, -0·11) than tertile-1, and those in DII tertile-2 (MD = 0·44; 95 % CI, 0·03, 0·84) and tertile-3 (MD = 0·42; 95 % CI, 0·01, 0·83) had higher CRP than tertile-1. Among people of colour, neither MED nor DII was associated with BMI or CRP, but BMI was negatively associated with depressive symptoms (β = -0·25, 95 % CI, -0·43, -0·06). We found no association between diet and depressive symptoms through BMI or CRP, in either race. Pre-pregnancy diet might affect the risk of prenatal depression in a race-specific way. Further research is required to explore the racial differences in the association between maternal diet and prenatal depressive symptoms/depression risk.
Collapse
Affiliation(s)
- Elnaz Vaghef-Mehrabani
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada
- Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Rhonda C Bell
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada
| | - Catherine J Field
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada
| | - Megan Jarman
- School of Psychology, College of Health and Life Sciences, Institute of Health and Neurodevelopment, Aston University, Birmingham, UK
| | - Jenna L Evanchuk
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada
| | | | - Gerald F Giesbrecht
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada
- Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Psychology, University of Calgary, Calgary, AB, Canada
| |
Collapse
|
3
|
Sun SN, Ni SH, Li Y, Liu X, Deng JP, Ouyang XL, Li J, Wang LJ, Xian SX, Lu L, Kuang XY. Association between dietary inflammatory index with all-cause and cardiovascular disease mortality among older US adults: A longitudinal cohort study among a nationally representative sample. Arch Gerontol Geriatr 2024; 118:105279. [PMID: 38039745 DOI: 10.1016/j.archger.2023.105279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 11/08/2023] [Accepted: 11/17/2023] [Indexed: 12/03/2023]
Abstract
OBJECTIVE To investigate the association between DII with all-cause and cardiovascular disease (CVD) mortality among older adults in the U. S METHODS This prospective cohort study included older adults with complete DII data and mortality data from the National Health and Nutrition Examination Survey (NHANES) 2001-2018. Mortality outcomes were linked to National Death Index records through 31 December 2019. The multivariate Cox proportional hazards models were performed to evaluate the association between DII and mortality. Restricted cubic spline analyses were used to examine the nonlinear association of DII with all-cause and CVD mortality. RESULTS During the median follow-up date of 6.7 years, 4446 all-cause deaths were documented among 10,827 representative older adults, including 1230 CVD deaths. After multivariate adjustment, linear relationships between DII with all-cause mortality (P non-linear = 0.17) and non-linear relationship between DII with CVD mortality (P non-linear = 0.04) were observed. Compared to participants with the lowest quartile of DII scores (-5.28 to≤0.43), the multivariate-adjusted HRs and 95 %CI for participants with higher DII scores were 1.19 (Q2, 95 %CI: 1.08-1.31), 1.28 (Q3, 95 %CI: 1.14-1.44), 1.30 (Q4, 95 %CI: 1.17-1.44) for all-cause mortality (P trend <0.001) and 1.19 (Q2, 95 %CI: 0.99-1.43), 1.34 (Q3, 95 %CI: 1.10-1.62), 1.30 (Q4, 95 %CI: 1.06-1.58) for CVD mortality (P trend < 0.01), respectively. CONCLUSIONS In the representative sample of older adults in the U.S, higher DII scores were associated with increased risks of all-cause and CVD mortality.
Collapse
Affiliation(s)
- Shu-Ning Sun
- The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510407, PR China; State Key Laboratory of Traditional Chinese Medicine Syndrome, Guangzhou University of Chinese Medicine, Guangzhou 510407, PR China; Lingnan Medical Research Center, Guangzhou University of Chinese Medicine, Guangzhou 510407, PR China; Key Laboratory of Chronic Heart Failure, Guangzhou University of Chinese Medicine, Guangzhou 510407, PR China
| | - Shi-Hao Ni
- The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510407, PR China; State Key Laboratory of Traditional Chinese Medicine Syndrome, Guangzhou University of Chinese Medicine, Guangzhou 510407, PR China; Lingnan Medical Research Center, Guangzhou University of Chinese Medicine, Guangzhou 510407, PR China; Key Laboratory of Chronic Heart Failure, Guangzhou University of Chinese Medicine, Guangzhou 510407, PR China
| | - Yue Li
- Shenzhen Luohu District Hospital of Traditional Chinese Medicine, Shenzhen 518000, PR China
| | - Xin Liu
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Guangzhou University of Chinese Medicine, Guangzhou 510407, PR China
| | - Jian-Ping Deng
- The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510407, PR China; State Key Laboratory of Traditional Chinese Medicine Syndrome, Guangzhou University of Chinese Medicine, Guangzhou 510407, PR China; Lingnan Medical Research Center, Guangzhou University of Chinese Medicine, Guangzhou 510407, PR China; Key Laboratory of Chronic Heart Failure, Guangzhou University of Chinese Medicine, Guangzhou 510407, PR China
| | - Xiao-Lu Ouyang
- The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510407, PR China; State Key Laboratory of Traditional Chinese Medicine Syndrome, Guangzhou University of Chinese Medicine, Guangzhou 510407, PR China; Lingnan Medical Research Center, Guangzhou University of Chinese Medicine, Guangzhou 510407, PR China; Key Laboratory of Chronic Heart Failure, Guangzhou University of Chinese Medicine, Guangzhou 510407, PR China
| | - Jin Li
- The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510407, PR China; State Key Laboratory of Traditional Chinese Medicine Syndrome, Guangzhou University of Chinese Medicine, Guangzhou 510407, PR China; Lingnan Medical Research Center, Guangzhou University of Chinese Medicine, Guangzhou 510407, PR China; Key Laboratory of Chronic Heart Failure, Guangzhou University of Chinese Medicine, Guangzhou 510407, PR China
| | - Ling-Jun Wang
- The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510407, PR China; State Key Laboratory of Traditional Chinese Medicine Syndrome, Guangzhou University of Chinese Medicine, Guangzhou 510407, PR China; Lingnan Medical Research Center, Guangzhou University of Chinese Medicine, Guangzhou 510407, PR China; Key Laboratory of Chronic Heart Failure, Guangzhou University of Chinese Medicine, Guangzhou 510407, PR China.
| | - Shao-Xiang Xian
- The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510407, PR China; State Key Laboratory of Traditional Chinese Medicine Syndrome, Guangzhou University of Chinese Medicine, Guangzhou 510407, PR China; Lingnan Medical Research Center, Guangzhou University of Chinese Medicine, Guangzhou 510407, PR China; Key Laboratory of Chronic Heart Failure, Guangzhou University of Chinese Medicine, Guangzhou 510407, PR China.
| | - Lu Lu
- The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510407, PR China; State Key Laboratory of Traditional Chinese Medicine Syndrome, Guangzhou University of Chinese Medicine, Guangzhou 510407, PR China; Lingnan Medical Research Center, Guangzhou University of Chinese Medicine, Guangzhou 510407, PR China; Key Laboratory of Chronic Heart Failure, Guangzhou University of Chinese Medicine, Guangzhou 510407, PR China.
| | - Xiu-Ying Kuang
- The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510407, PR China.
| |
Collapse
|
4
|
Chiavaroli A, Brunetti L. Food Components in Health Promotion and Disease Prevention. Foods 2023; 12:4401. [PMID: 38137205 PMCID: PMC10743150 DOI: 10.3390/foods12244401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 11/29/2023] [Accepted: 12/05/2023] [Indexed: 12/24/2023] Open
Abstract
In recent years, more plant-based sources of functional foods have been shown to be effective in preventing, reducing, and treating chronic inflammatory and metabolic diseases, and promoting health [...].
Collapse
Affiliation(s)
- Annalisa Chiavaroli
- Department of Pharmacy, G. d’Annunzio University of Chieti-Pescara, Via dei Vestini 31, 66013 Chieti, Italy;
| | | |
Collapse
|
5
|
Jin S, Cui S, Mu X, Liu Z, Han Y, Cui T, Xiong W, Xi W, Zhang X. Exposure to phthalates and their alternatives in relation to biomarkers of inflammation and oxidative stress in adults: evidence from NHANES 2017-2018. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:123770-123784. [PMID: 37991617 DOI: 10.1007/s11356-023-30924-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 11/02/2023] [Indexed: 11/23/2023]
Abstract
Phthalates and their alternatives are considered significant environmental risk factors that potentially influence inflammation and oxidative stress. However, their impact on biomarkers of inflammation and oxidative stress was inconsistent. This study aimed to explore the associations between phthalates and high-sensitivity C-reactive protein (hsCRP), gamma-glutamyl transferase (GGT), and white blood cell (WBC) counts, employing both univariate exposure and multivariate co-exposure models. For this analysis, a total of 1619 individuals aged 18 years and above, sourced from the National Health and Nutrition Examination Survey (NHANES) conducted between 2017 and 2018, were selected as subjects. We explored the associations between hsCRP, GGT, and WBC counts and eighteen different phthalate metabolites. Multiple linear regression analysis revealed significant associations between both MCNP and MEHP and hsCRP. We observed negative correlations of MCOP, MCPP, MHBP, and MONP with GGT. Conversely, MEHHP and MEHHTP exhibited positive correlations with GGT. Furthermore, MECPTP and MEHHTP showed positive correlations with WBC. Notably, we identified a non-linear relationship between phthalates and inflammation and oxidative stress markers. The Bayesian kernel machine regression (BKMR) analysis demonstrated a negative joint effect of the phthalates mixture on GGT, particularly at lower concentrations. The BKMR model also found that MEOHP and MHiBP were negatively associated with GGT. In contrast, MEHHP showed a significant positive association with GGT. Moderating effect analysis suggested that dietary inflammatory index (DII), income-to-poverty ratio (PIR), age, BMI, and physical activity influenced the association between phthalates and inflammation and oxidative stress. These findings contribute to a deeper understanding of the relationships between phthalates and inflammation and oxidative stress.
Collapse
Affiliation(s)
- Shihao Jin
- Department of Maternal, Child and Adolescent Health, School of Public Health, Tianjin Medical University, No. 22 Qixiangtai Road, Tianjin, 300070, People's Republic of China
| | - Shanshan Cui
- School of Public Health, Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, China
| | - Xiaoyu Mu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Tianjin Medical University, No. 22 Qixiangtai Road, Tianjin, 300070, People's Republic of China
| | - Zhao Liu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Tianjin Medical University, No. 22 Qixiangtai Road, Tianjin, 300070, People's Republic of China
| | - Yu Han
- Department of Maternal, Child and Adolescent Health, School of Public Health, Tianjin Medical University, No. 22 Qixiangtai Road, Tianjin, 300070, People's Republic of China
| | - Tingkai Cui
- Department of Maternal, Child and Adolescent Health, School of Public Health, Tianjin Medical University, No. 22 Qixiangtai Road, Tianjin, 300070, People's Republic of China
| | - Wenjuan Xiong
- Department of Maternal, Child and Adolescent Health, School of Public Health, Tianjin Medical University, No. 22 Qixiangtai Road, Tianjin, 300070, People's Republic of China
| | - Wei Xi
- Department of Maternal, Child and Adolescent Health, School of Public Health, Tianjin Medical University, No. 22 Qixiangtai Road, Tianjin, 300070, People's Republic of China
| | - Xin Zhang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Tianjin Medical University, No. 22 Qixiangtai Road, Tianjin, 300070, People's Republic of China.
| |
Collapse
|