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Mathew M, Pope ZC, Schreiner PJ, Jacobs DR, VanWagner LB, Terry JG, Pereira MA. Non-alcoholic fatty liver modifies associations of body mass index and waist circumference with cardiometabolic risk: The CARDIA study. Obes Sci Pract 2024; 10:e751. [PMID: 38655127 PMCID: PMC11036547 DOI: 10.1002/osp4.751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 03/29/2024] [Accepted: 04/03/2024] [Indexed: 04/26/2024] Open
Abstract
Background Non-alcoholic fatty liver disease (NAFLD) is recognized as a prevalent determinant of cardiometabolic diseases. The association between NAFLD and obesity warrants further research on how NAFLD modifies associations between body mass index (BMI) and Waist circumference (WC) with cardiometabolic risk (CMR). Objective This study assessed whether NAFLD modifies associations between BMI and WC with 5-year changes in CMR in 2366 CARDIA study participants. Methods Non-contrast CT was used to quantify liver attenuation, with ≤51 Hounsfield Units (HU) used to define NAFLD in the absence of secondary causes of excess liver fat. The dependent variable was the average Z score of fasting glucose, insulin, triglycerides [log], (-) high-density lipoprotein cholesterol (HDL-C), and systolic blood pressure(SBP). Multivariable linear regression was used to estimate the associations between BMI and WC with CMR. Effect modification by NAFLD was assessed by an interaction term between NAFLD and BMI or WC. Results The final sample had 539 (23%) NAFLD cases. NAFLD modified the association of BMI and WC with CMR (interaction p < 0.0001 for both). BMI and WC were associated with CMR in participants without NAFLD (p < 0.001), but not among those with NAFLD. Participants with NAFLD and normal BMI and WC had CMR estimates that were higher than those without NAFLD in the obese categories. Among those without NAFLD the 5 years CMR change estimate was 0.09 (95% CI: 0.062, 0.125) for BMI ≥30 kg/m2 compared to -0.06 (-0.092, -0.018) for BMI < 25 kg/m2, and among those with NAFLD, these estimates were 0.15 (0.108, 0.193) and 0.16 (-0.035, 0.363). Conclusions NAFLD modifies associations of BMI and WC with CMR. Compared with BMI and WC, NAFLD was more strongly associated with CMR. In the presence of NAFLD, BMI and WC were not associated with CMR. These findings have implications for clinical screening guidelines.
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Affiliation(s)
- Mahesh Mathew
- Division of Epidemiology & Community HealthUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Zachary C. Pope
- Mayo Clinic and Delos Well Living LabRochesterMinnesotaUSA
- Department of Physiology and Biomedical EngineeringWell Living Lab & Mayo ClinicRochesterMinnesotaUSA
- Department of Health Promotion SciencesHudson College of Public HealthUniversity of Oklahoma Health Sciences & TSET Health Promotion Research CenterStephenson Cancer CenterUniversity of Oklahoma Health SciencesOklahoma CityOklahomaUSA
| | - Pamela J. Schreiner
- Division of Epidemiology & Community HealthUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - David R. Jacobs
- Division of Epidemiology & Community HealthUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Lisa B. VanWagner
- Division of Digestive and Liver DiseasesUniversity of Texas Southwestern Medical CenterDallasTexasUSA
| | - James G. Terry
- Vanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Mark A. Pereira
- Division of Epidemiology & Community HealthUniversity of MinnesotaMinneapolisMinnesotaUSA
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Solsona EM, Johnson L, Northstone K, Buckland G. Prospective association between an obesogenic dietary pattern in early adolescence and metabolomics derived and traditional cardiometabolic risk scores in adolescents and young adults from the ALSPAC cohort. Nutr Metab (Lond) 2023; 20:41. [PMID: 37715209 PMCID: PMC10504726 DOI: 10.1186/s12986-023-00754-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Accepted: 07/26/2023] [Indexed: 09/17/2023] Open
Abstract
BACKGROUND Dietary intake during early life may be a modifying factor for cardiometabolic risk (CMR). Metabolomic profiling may enable more precise identification of CMR in adolescence than traditional CMR scores. We aim to assess and compare the prospective associations between an obesogenic dietary pattern (DP) score at age 13 years with a novel vs. traditional CMR score in adolescence and young adulthood in the Avon Longitudinal Study of Parents and Children (ALSPAC). METHODS Study participants were ALSPAC children with diet diary data at age 13. The obesogenic DP z-score, characterized by high energy-density, high % of energy from total fat and free sugars, and low fibre density, was previously derived using reduced rank regression. CMR scores were calculated by combining novel metabolites or traditional risk factors (fat mass index, insulin resistance, mean arterial blood pressure, triacylglycerol, HDL and LDL cholesterol) at age 15 (n = 1808), 17 (n = 1629), and 24 years (n = 1760). Multivariable linear regression models estimated associations of DP z-score with log-transformed CMR z-scores. RESULTS Compared to the lowest tertile, the highest DP z-score tertile at age 13 was associated with an increase in the metabolomics CMR z-score at age 15 (β = 0.20, 95% CI 0.09, 0.32, p trend < 0.001) and at age 17 (β = 0.22, 95% CI 0.10, 0.34, p trend < 0.001), and with the traditional CMR z-score at age 15 (β = 0.15, 95% CI 0.05, 0.24, p trend 0.020). There was no evidence of an association at age 17 for the traditional CMR z-score (β = 0.07, 95% CI -0.03, 0.16, p trend 0.137) or for both scores at age 24. CONCLUSIONS An obesogenic DP was associated with greater CMR in adolescents. Stronger associations were observed with a novel metabolite CMR score compared to traditional risk factors. There may be benefits from modifying diet during adolescence for CMR health, which should be prioritized for further research in trials.
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Affiliation(s)
- Eduard Martínez Solsona
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, 8 Priory Road, BS8 1TZ, Bristol, UK.
| | - Laura Johnson
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, 8 Priory Road, BS8 1TZ, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Centre for Health, NatCen Social Research, London, UK
| | - Kate Northstone
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Genevieve Buckland
- Centre for Academic Child Health, Bristol Medical School, University of Bristol, Bristol, UK.
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Rosqvist F, Fridén M, Vessby J, Rorsman F, Lind L, Risérus U. Circulating fatty acids from high-throughput metabolomics platforms as potential biomarkers of dietary fatty acids. Clin Nutr 2022; 41:2637-2643. [PMID: 36308982 DOI: 10.1016/j.clnu.2022.10.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 09/27/2022] [Accepted: 10/08/2022] [Indexed: 01/27/2023]
Abstract
BACKGROUND Some fatty acids, i.e. n-3 and n-6 polyunsaturated fatty acids (PUFA), from metabolomics platforms based on nuclear magnetic resonance imaging (NMR) or liquid chromatography mass-spectrometry (LC-MS) are suggested to reflect dietary exposure. NMR and LC-MS are both relatively fast and cheap, however few studies have investigated their validity. Linoleic acid (LA) and docosahexaenoic acid (DHA), measured using gas chromatography (GC), are established biomarkers of dietary n-6 and n-3 PUFA intake, respectively. OBJECTIVE To examine if circulating fatty acids derived from two commonly applied metabolomics platforms (using NMR and LC-MS) provide similar information compared to GC in two pooled population-based cohorts, one patient cohort, and in a randomized controlled trial (RCT). METHODS Spearman rank correlations were conducted between LA and DHA in cholesteryl esters (CE) from GC and whole serum/plasma LA and DHA from the metabolomics platforms in a pooled population-based cohort of men and women (n ˜ 1100) (primary analysis). Secondary correlation analyses included fatty acid classes such as n-3 PUFA, n-6 PUFA, saturated fatty acids (SFA), monounsaturated fatty acids (MUFA) and total PUFA. Additionally, correlations were investigated for LA, DHA and the five fatty acid classes in phospholipids (PL), triacylglycerols (TAG) and non-esterified fatty acids (NEFA) in a RCT of n = 60 as well as in a population with biopsy-verified non-alcoholic fatty liver disease (NAFLD) (n = 59). Misclassification was examined using cross-tabulation and visualized using alluvial plots. RESULTS Moderate to strong correlations (r = 0.51-0.81) were observed for LA and DHA in multiple lipid fractions in all cohorts using the NMR platform. For the pooled cohort, LA (r = 0.67, P < 0.0001) and DHA (r = 0.68, P < 0.0001) assessed in CE were strongly correlated with LA and DHA derived using NMR. Nearly half (49%) were correctly classified into their respective quartiles. Using LC-MS, only DHA (r = 0.44, P < 0.0001) demonstrated moderate correlations with DHA from GC. CONCLUSIONS Unless fatty acid data from GC analysis is available or feasible, NMR-based technology might be a better option than a LC-MS-based platform, at least for certain PUFA. This should be taken into account in future studies aiming to use circulating fatty acids as dietary biomarkers for the investigation of diet-disease relationships.
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Affiliation(s)
- Fredrik Rosqvist
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden.
| | - Michael Fridén
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden
| | - Johan Vessby
- Department of Medical Sciences, Gastroenterology and Hepatology, Uppsala University, Uppsala, Sweden
| | - Fredrik Rorsman
- Department of Medical Sciences, Gastroenterology and Hepatology, Uppsala University, Uppsala, Sweden
| | - Lars Lind
- Department of Medical Sciences, Clinical Epidemiology, Uppsala University, Uppsala, Sweden
| | - Ulf Risérus
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden
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Comparison of the Lipidomic Signature of Fatty Liver in Children and Adults: A Cross-Sectional Study. J Pediatr Gastroenterol Nutr 2022; 74:734-741. [PMID: 35185113 PMCID: PMC7613028 DOI: 10.1097/mpg.0000000000003418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/10/2022]
Abstract
OBJECTIVE Non-alcoholic fatty liver disease (NAFLD) is an increasingly common condition in children characterised by insulin resistance and altered lipid metabolism. Affected patients are at increased risk of cardiovascular disease (CVD) and children with NAFLD are likely to be at risk of premature cardiac events. Evaluation of the plasma lipid profile of children with NAFLD offers the opportunity to investigate these perturbations and understand how closely they mimic the changes seen in adults with cardiometabolic disease. METHODS We performed untargeted liquid chromatography-mass spectrometry (LC-MS) plasma lipidomics on 287 children: 19 lean controls, 146 from an obese cohort, and 122 NAFLD cases who had undergone liver biopsy. Associations between lipid species and liver histology were assessed using regression adjusted for age and sex. Results were then replicated using data from 9500 adults with metabolic phenotyping. RESULTS More severe paediatric NAFLD was associated with lower levels of long chain, polyunsaturated phosphatidylcholines (pC) and triglycerides (TG). Similar trends in pC and TG chain length and saturation were seen in adults with hepatic steatosis; however, many of the specific lipids associated with NAFLD differed between children and adults. Five lipids replicated in adults (including PC(36:4)) have been directly linked to death and cardiometabolic disease, as well as indirectly via genetic variants. CONCLUSION These findings suggest that, whilst similar pathways of lipid metabolism are perturbed in paediatric NAFLD as in cardiometabolic disease in adults, the specific lipid signature in children is different.
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Carrasco I, Olveira A, Lancharro Á, Escosa L, Mellado MJ, Busca C, Montes ML, Díez C, Alcolea-Ruiz S, Navarro ML, Sainz T. Prevalence of nonalcoholic fatty liver disease using noninvasive techniques among children, adolescents, and youths living with HIV. AIDS 2022; 36:805-814. [PMID: 35013082 DOI: 10.1097/qad.0000000000003170] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
OBJECTIVE The prevalence of subclinical liver abnormalities is high among people with HIV, but data regarding perinatally HIV-infected children and adolescents (PHIV) are scarce. Noninvasive image techniques offer an opportunity to address nonalcoholic fatty liver disease (NAFLD) in a population in which the scores validated for adults have not been tested. DESIGN Prospective cross-sectional study including PHIV and uninfected controls. METHODS Noninvasive imaging techniques for the diagnosis of NAFLD and/or fibrosis were performed, and four scores to predict NAFLD were evaluated. RESULTS Seventy-six participants (59.2% women) with a median of 19 years old (interquartile range: 15.5-25.6) were included, 38 were PHIV and 38 were age and sex-matched controls. All HIV participants were on ART at the moment of inclusion, and 86.8% were virologically suppressed. A total of 11 PHIV and three controls were diagnosed with NAFLD (28.9% vs. 7.9%; P = 0.02) by noninvasive imaging techniques. The performance of scores based on clinical and analytical parameters was very poor. Although nonsignificant, overweight was more common among participants with NAFLD, who had a significantly higher BMI. Differences in HIV-related parameters between the groups were nonsignificant, except for the CD4+/CD8+ T-cells ratio, decreased among PHIV diagnosed with NAFLD (P = 0.04). CONCLUSIONS The prevalence of NAFLD was high (28.9%) among PHIV, and only partially explained by overweight and metabolic syndrome defining factors. The scores based on clinical and analytical parameters did not accurately identify participants at risk. Therefore, liver ultrasound assessment should be considered for the screening of NAFLD among PHIV in routine clinical practice.
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Affiliation(s)
- Itzíar Carrasco
- Servicio de Pediatría, Hospital General Universitario Gregorio Marañón e Instituto de Investigación Sanitaria Gregorio Marañón, Madrid
- Universidad Complutense de Madrid
- CIBER de Enfermedades Infecciosas (CIBERInfec), Instituto de Salud Carlos III
| | - Antonio Olveira
- Gastroenterology Department. Hospital Universitario La Paz y La Paz Research Institute (IdiPAZ), Hospital Universitario La Paz, Madrid
| | - Ángel Lancharro
- Servicio de Radiología, Hospital General Universitario Gregorio Maranón e Instituto de Investigación Sanitaria Gregorio Maran on, Madrid
| | - Luis Escosa
- CIBER de Enfermedades Infecciosas (CIBERInfec), Instituto de Salud Carlos III
- Servicio de Pediatría, Enfermedades Infecciosas y Tropicales, Hospital Universitario La Paz Y La Paz Research Institute (IdiPAZ), Hospital Universitario La Paz, Madrid
| | - María José Mellado
- CIBER de Enfermedades Infecciosas (CIBERInfec), Instituto de Salud Carlos III
- Servicio de Pediatría, Enfermedades Infecciosas y Tropicales, Hospital Universitario La Paz Y La Paz Research Institute (IdiPAZ), Hospital Universitario La Paz, Madrid
| | - Carmen Busca
- CIBER de Enfermedades Infecciosas (CIBERInfec), Instituto de Salud Carlos III
- IV Unit, Infectious Diseases and Internal Medicine Department. Hospital Universitario La Paz y La Paz Research Institute (IdiPAZ), Hospital Universitario La Paz, Madrid
| | - María Luisa Montes
- CIBER de Enfermedades Infecciosas (CIBERInfec), Instituto de Salud Carlos III
- IV Unit, Infectious Diseases and Internal Medicine Department. Hospital Universitario La Paz y La Paz Research Institute (IdiPAZ), Hospital Universitario La Paz, Madrid
| | - Cristina Díez
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Maranon, Madrid, Spain
| | - Sonia Alcolea-Ruiz
- CIBER de Enfermedades Infecciosas (CIBERInfec), Instituto de Salud Carlos III
- Servicio de Pediatría, Enfermedades Infecciosas y Tropicales, Hospital Universitario La Paz Y La Paz Research Institute (IdiPAZ), Hospital Universitario La Paz, Madrid
| | - María Luisa Navarro
- Servicio de Pediatría, Hospital General Universitario Gregorio Marañón e Instituto de Investigación Sanitaria Gregorio Marañón, Madrid
- Universidad Complutense de Madrid
- CIBER de Enfermedades Infecciosas (CIBERInfec), Instituto de Salud Carlos III
| | - Talía Sainz
- CIBER de Enfermedades Infecciosas (CIBERInfec), Instituto de Salud Carlos III
- Servicio de Pediatría, Enfermedades Infecciosas y Tropicales, Hospital Universitario La Paz Y La Paz Research Institute (IdiPAZ), Hospital Universitario La Paz, Madrid
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Pang Y, Kartsonaki C, Lv J, Millwood IY, Fairhurst-Hunter Z, Turnbull I, Bragg F, Hill MR, Yu C, Guo Y, Chen Y, Yang L, Clarke R, Walters RG, Wu M, Chen J, Li L, Chen Z, Holmes MV. Adiposity, metabolomic biomarkers, and risk of nonalcoholic fatty liver disease: a case-cohort study. Am J Clin Nutr 2022; 115:799-810. [PMID: 34902008 PMCID: PMC8895224 DOI: 10.1093/ajcn/nqab392] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 11/06/2021] [Accepted: 11/18/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Globally, the burden of obesity and associated nonalcoholic fatty liver disease (NAFLD) are rising, but little is known about the role that circulating metabolomic biomarkers play in mediating their association. OBJECTIVES We aimed to examine the observational and genetic associations of adiposity with metabolomic biomarkers and the observational associations of metabolomic biomarkers with incident NAFLD. METHODS A case-subcohort study within the prospective China Kadoorie Biobank included 176 NAFLD cases and 180 subcohort individuals and measured 1208 metabolites in stored baseline plasma using a Metabolon assay. In the subcohort the observational and genetic associations of BMI with biomarkers were assessed using linear regression, with adjustment for multiple testing. Cox regression was used to estimate adjusted HRs for NAFLD associated with biomarkers. RESULTS In observational analyses, BMI (kg/m2; mean: 23.9 in the subcohort) was associated with 199 metabolites at a 5% false discovery rate. The effects of genetically elevated BMI with specific metabolites were directionally consistent with the observational associations. Overall, 35 metabolites were associated with NAFLD risk, of which 15 were also associated with BMI, including glutamate (HR per 1-SD higher metabolite: 1.95; 95% CI: 1.48, 2.56), cysteine-glutathione disulfide (0.44; 0.31, 0.62), diaclyglycerol (C32:1) (1.71; 1.24, 2.35), behenoyl dihydrosphingomyelin (C40:0) (1.92; 1.42, 2.59), butyrylcarnitine (C4) (1.91; 1.38, 2.35), 2-hydroxybehenate (1.81; 1.34, 2.45), and 4-cholesten-3-one (1.79; 1.27, 2.54). The discriminatory performance of known risk factors was increased when 28 metabolites were also considered simultaneously in the model (weighted C-statistic: 0.84 to 0.90; P < 0.001). CONCLUSIONS Among relatively lean Chinese adults, a range of metabolomic biomarkers are associated with NAFLD risk and these biomarkers may lie on the pathway between adiposity and NAFLD.
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Affiliation(s)
- Yuanjie Pang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Christiana Kartsonaki
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
- Medical Research Council Population Health Research Unit (MRC PHRU) at the University of Oxford, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness and Response (PKU-PHEPR), Peking University, Beijing, China
| | - Iona Y Millwood
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
- Medical Research Council Population Health Research Unit (MRC PHRU) at the University of Oxford, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Zammy Fairhurst-Hunter
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Iain Turnbull
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Fiona Bragg
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
- Medical Research Council Population Health Research Unit (MRC PHRU) at the University of Oxford, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Michael R Hill
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness and Response (PKU-PHEPR), Peking University, Beijing, China
| | - Yu Guo
- Chinese Academy of Medical Sciences, Beijing, China
| | - Yiping Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
- Medical Research Council Population Health Research Unit (MRC PHRU) at the University of Oxford, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Ling Yang
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
- Medical Research Council Population Health Research Unit (MRC PHRU) at the University of Oxford, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Robert Clarke
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Robin G Walters
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
- Medical Research Council Population Health Research Unit (MRC PHRU) at the University of Oxford, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Ming Wu
- Jiangsu Center for Disease Control and Prevention, Nanjing, China
| | - Junshi Chen
- National Center for Food Safety Risk Assessment, Beijing, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness and Response (PKU-PHEPR), Peking University, Beijing, China
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
- Medical Research Council Population Health Research Unit (MRC PHRU) at the University of Oxford, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Michael V Holmes
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
- Medical Research Council Population Health Research Unit (MRC PHRU) at the University of Oxford, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
- National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospital, Oxford, United Kingdom
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Chin J, Mori TA, Adams LA, Beilin LJ, Huang RC, Olynyk JK, Ayonrinde OT. Association between remnant lipoprotein cholesterol levels and non-alcoholic fatty liver disease in adolescents. JHEP Rep 2020; 2:100150. [PMID: 32984791 PMCID: PMC7495103 DOI: 10.1016/j.jhepr.2020.100150] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 06/15/2020] [Accepted: 07/13/2020] [Indexed: 12/19/2022] Open
Abstract
Background & Aims Remnant lipoprotein cholesterol (RLP-C) is an atherogenic lipid profile associated with non-alcoholic fatty liver disease (NAFLD) and cardiovascular disease (CVD). With increased rates of CVD seen in adults with NAFLD, RLP-C has the potential to identify individuals with NAFLD who are at increased risk of CVD. This study examined in adolescents sex-different associations among RLP-C, NAFLD, and cardiometabolic risk factors, and whether RLP-C is associated with NAFLD beyond traditional cardiometabolic risk factors. Methods Adolescents in the Raine Study had anthropometry, clinical, biochemistry and arterial stiffness measurements recorded at 17 years of age. Fatty liver, subcutaneous and visceral adipose thickness were assessed using abdominal ultrasound. Relationships among RLP-C, NAFLD, liver biochemistry, insulin resistance, adipokines, adiposity and arterial stiffness were assessed. Results NAFLD was diagnosed in 15.1% (19.6% females and 10.7% males) of adolescents. Increasing RLP-C levels were associated with increasing severity of hepatic steatosis and metabolic syndrome. Adolescents with NAFLD and serum RLP-C levels in the highest quartile compared with the lowest quartile, had higher serum leptin, homeostatic model assessment of insulin resistance (HOMA-IR), high-sensitivity C-reactive protein, low-density-lipoprotein cholesterol, triglycerides, BMI, subcutaneous and visceral adipose thickness, systolic blood pressure and arterial stiffness, but lower adiponectin and high-density-lipoprotein cholesterol. Using multivariable logistic regression, RLP-C in the lowest quartile compared with the highest quartile was associated with 85% lower odds of NAFLD in males and 55% in females, after adjusting for waist circumference, leptin, ALT, adiponectin and HOMA-IR. Conclusions There is an association between RLP-C and NAFLD beyond traditional risk factors of adiposity and insulin resistance in adolescents. Although raised serum RLP-C levels were associated with the severity of hepatic steatosis and markers of cardiometabolic risk, lower serum RLP-C might reflect reduced cardiovascular risk. Lay summary Remnant lipoprotein cholesterol (RLP-C) is a part of the blood cholesterol that is linked with heart disease and non-alcoholic fatty liver disease (NAFLD) in adults. In the Raine Study, teenagers with high RLP-C levels had more severe fat accumulation in their liver. Thus, RLP-C might be the hidden link between NAFLD and future risk of heart disease. Non-alcoholic fatty liver disease (NAFLD) and heart disease share risk factors. Serum remnant lipoprotein cholesterol (RLP-C) is linked with severity of liver fat. Males with NAFLD have higher cardiometabolic risk. RLP-C may contribute to risk of cardiovascular disease in people with NAFLD.
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Key Words
- AIx, Aortic Augmentation Index
- ALT, alanine aminotransferase
- AST, aspartate aminotransferase
- Adiposity
- Arterial stiffness
- C-AGPH-HR75, Central Augmentation Pressure/Pulse Height Ratio at Heart Rate 75
- Cardiometabolic risk
- GGT, gamma-glutamyl transpeptidase
- HDL-C, high-density lipoprotein cholesterol
- HOMA-IR, homeostatic model assessment of insulin resistance
- IDF, International Diabetes Federation
- LDL-C, low-density lipoprotein cholesterol
- Lipids
- Metabolic syndrome
- NAFLD
- NAFLD, non-alcoholic fatty liver disease
- OR, odds ratio
- Q1, lowest (first) quartile
- Q2, second quartile
- Q3, third quartile
- Q4, top (fourth) quartile
- RLP-C, remnant lipoprotein cholesterol
- Raine study
- T2DM, type 2 diabetes mellitus
- TG, triglycerides
- VLDL, very-low-density lipoprotein
- hsCRP, high-sensitivity C-reactive protein
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Affiliation(s)
- Justin Chin
- Department of Gastroenterology and Hepatology, Fiona Stanley Hospital, Murdoch, WA, Australia
| | - Trevor A Mori
- School of Medicine and Pharmacology, The University of Western Australia, Perth, WA, Australia
| | - Leon A Adams
- School of Medicine and Pharmacology, The University of Western Australia, Perth, WA, Australia.,Department of Hepatology and Liver Transplantation, Sir Charles Gairdner Hospital, Nedlands, WA, Australia
| | - Lawrence J Beilin
- School of Medicine and Pharmacology, The University of Western Australia, Perth, WA, Australia
| | - Rae-Chi Huang
- Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia
| | - John K Olynyk
- Department of Gastroenterology and Hepatology, Fiona Stanley Hospital, Murdoch, WA, Australia.,School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Oyekoya T Ayonrinde
- Department of Gastroenterology and Hepatology, Fiona Stanley Hospital, Murdoch, WA, Australia.,School of Medicine and Pharmacology, The University of Western Australia, Perth, WA, Australia.,Faculty of Health Sciences, Curtin University, Bentley, WA, Australia
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Zhang M, Yuan Y, Zhou W, Qin Y, Xu K, Men J, Lin M. Network pharmacology analysis of Chaihu Lizhong Tang treating non-alcoholic fatty liver disease. Comput Biol Chem 2020; 86:107248. [PMID: 32208163 DOI: 10.1016/j.compbiolchem.2020.107248] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Revised: 03/07/2020] [Accepted: 03/10/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND In this study, the network pharmacological methods were used to predict the target of active components of Chaihu Lizhong Tang (CHLZT) in the treatment of non-alcoholic fatty liver disease (NAFLD). METHOD The active components of "CHLZT", their targets, and NAFLD related targets were screened by multiple databases, and the potential targets of "CHLZT" in the treatment of NAFLD were predicted. The active component-target network of "CHLZT" was constructed by Cytoscape software. The potential target of "CHLZT" for the treatment of NAFLD constructed protein-protein interaction (PPI) network in the Search Tool for the Retrieval of Interacting Genes Database (STRING). The hub genes of "CHLZT" in the treatment of NAFLD were screened by network topological parameters, and the results were verified by molecular docking. "ClusterProfiler" in R was used for Gene Ontology (GO) analysis and KEGG pathway enrichment analysis. RESULTS OB ≥ 30 % and DL ≥ 0.18 were selected as the screening criteria of active components. A total of 83 active components and 456 targets were selected. Based on the evaluation of topological parameters of degree network, five hub genes for interaction with "CHLZT" therapy for NAFLD were screened, that is, AKT1, ALB, IL6, EGFR, and CASP3. The results of molecular docking showed that the active components in "CHLZT" had a good binding ability with the key targets. The enrichment analysis results showed that the treatment of NAFLD with "CHLZT" mainly involved in cofactor binding, protease binding, AGE-RAGE signaling pathway in diabetic complications, and IL-17 signaling pathway, which mediated the potential mechanism of "CHLZT" intervention in NAFLD. CONCLUSION The molecular mechanism of "CHLZT" in the treatment of NAFLD indicated the synergistic features of multi-component, multi-target, and multi-pathway of traditional Chinese medicine, which provided an important scientific basis for further elucidating the mechanism of "CHLZT" in the treatment of NAFLD.
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Affiliation(s)
- Meng Zhang
- Basic Medical College, Shanxi University of Chinese Medicine, Jinzhong, China.
| | - Yuan Yuan
- School of Management, Shanxi Medical University, Jinzhong, China.
| | - Wenjing Zhou
- Basic Medical College, Shanxi University of Chinese Medicine, Jinzhong, China.
| | - Yali Qin
- Basic Medical College, Shanxi University of Chinese Medicine, Jinzhong, China.
| | - Kaixia Xu
- Basic Medical College, Shanxi University of Chinese Medicine, Jinzhong, China.
| | - Jiuzhang Men
- Basic Medical College, Shanxi University of Chinese Medicine, Jinzhong, China.
| | - Mingxin Lin
- Institute of Basic Theory of Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
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Beyoğlu D, Idle JR. Metabolomic and Lipidomic Biomarkers for Premalignant Liver Disease Diagnosis and Therapy. Metabolites 2020; 10:E50. [PMID: 32012846 PMCID: PMC7074571 DOI: 10.3390/metabo10020050] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Revised: 01/24/2020] [Accepted: 01/26/2020] [Indexed: 02/07/2023] Open
Abstract
In recent years, there has been a plethora of attempts to discover biomarkers that are more reliable than α-fetoprotein for the early prediction and prognosis of hepatocellular carcinoma (HCC). Efforts have involved such fields as genomics, transcriptomics, epigenetics, microRNA, exosomes, proteomics, glycoproteomics, and metabolomics. HCC arises against a background of inflammation, steatosis, and cirrhosis, due mainly to hepatic insults caused by alcohol abuse, hepatitis B and C virus infection, adiposity, and diabetes. Metabolomics offers an opportunity, without recourse to liver biopsy, to discover biomarkers for premalignant liver disease, thereby alerting the potential of impending HCC. We have reviewed metabolomic studies in alcoholic liver disease (ALD), cholestasis, fibrosis, cirrhosis, nonalcoholic fatty liver (NAFL), and nonalcoholic steatohepatitis (NASH). Specificity was our major criterion in proposing clinical evaluation of indole-3-lactic acid, phenyllactic acid, N-lauroylglycine, decatrienoate, N-acetyltaurine for ALD, urinary sulfated bile acids for cholestasis, cervonoyl ethanolamide for fibrosis, 16α-hydroxyestrone for cirrhosis, and the pattern of acyl carnitines for NAFL and NASH. These examples derive from a large body of published metabolomic observations in various liver diseases in adults, adolescents, and children, together with animal models. Many other options have been tabulated. Metabolomic biomarkers for premalignant liver disease may help reduce the incidence of HCC.
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Affiliation(s)
| | - Jeffrey R. Idle
- Arthur G. Zupko’s Division of Systems Pharmacology and Pharmacogenomics, Arnold & Marie Schwartz College of Pharmacy and Health Sciences, Long Island University, 75 Dekalb Avenue, Brooklyn, NY 11201, USA;
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Taylor K, Ferreira DLS, West J, Yang T, Caputo M, Lawlor DA. Differences in Pregnancy Metabolic Profiles and Their Determinants between White European and South Asian Women: Findings from the Born in Bradford Cohort. Metabolites 2019; 9:metabo9090190. [PMID: 31540515 PMCID: PMC6780545 DOI: 10.3390/metabo9090190] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Revised: 09/16/2019] [Accepted: 09/17/2019] [Indexed: 12/12/2022] Open
Abstract
There is widespread metabolic disruption in women upon becoming pregnant. South Asians (SA) compared to White Europeans (WE) have more fat mass and are more insulin-resistant at a given body mass index (BMI). Whether these are reflected in other gestational metabolomic differences is unclear. Our aim was to compare gestational metabolic profiles and their determinants between WE and SA women. We used data from a United Kingdom (UK) cohort to compare metabolic profiles and associations of maternal age, education, parity, height, BMI, tricep skinfold thickness, gestational diabetes (GD), pre-eclampsia, and gestational hypertension with 156 metabolic measurements in WE (n = 4072) and SA (n = 4702) women. Metabolic profiles, measured in fasting serum taken between 26–28 weeks gestation, were quantified by nuclear magnetic resonance. Distributions of most metabolic measures differed by ethnicity. WE women had higher levels of most lipoprotein subclasses, cholesterol, glycerides and phospholipids, monosaturated fatty acids, and creatinine but lower levels of glucose, linoleic acid, omega-6 and polyunsaturated fatty acids, and most amino acids. Higher BMI and having GD were associated with higher levels of several lipoprotein subclasses, triglycerides, and other metabolites, mostly with stronger associations in WEs. We have shown differences in gestational metabolic profiles between WE and SA women and demonstrated that associations of exposures with these metabolites differ by ethnicity.
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Affiliation(s)
- Kurt Taylor
- Population Health Science, Bristol Medical School, Bristol BS8 2BN, UK.
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol BS8 2PS, UK.
| | - Diana L Santos Ferreira
- Population Health Science, Bristol Medical School, Bristol BS8 2BN, UK.
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol BS8 2PS, UK.
| | - Jane West
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford BD9 6RJ, UK.
| | - Tiffany Yang
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford BD9 6RJ, UK.
| | - Massimo Caputo
- Translational Science, Bristol Medical School, Bristol BS2 8DZ, UK.
- Bristol NIHR Biomedical Research Center, Bristol BS1 2NT, UK.
| | - Deborah A Lawlor
- Population Health Science, Bristol Medical School, Bristol BS8 2BN, UK.
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol BS8 2PS, UK.
- Bristol NIHR Biomedical Research Center, Bristol BS1 2NT, UK.
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