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Mogna-Peláez P, Romo-Hualde A, Riezu-Boj JI, Milagro FI, Muñoz-Prieto D, Herrero JI, Elorz M, Benito-Boillos A, Monreal JI, Tur JA, Martínez A, Abete I, Zulet MA. Isoliquiritigenin in combination with visceral adipose tissue and related markers as a predictive tool for nonalcoholic fatty liver disease. J Physiol Biochem 2023:10.1007/s13105-023-00998-6. [PMID: 37996653 DOI: 10.1007/s13105-023-00998-6] [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: 02/27/2023] [Accepted: 11/15/2023] [Indexed: 11/25/2023]
Abstract
Nonalcoholic fatty liver disease (NAFLD) is the most prevalent form of chronic liver disease in the world. New non-invasive diagnostic tools are needed to promptly treat this disease and avoid its complications. This study aimed to find key metabolites and related variables that could be used to predict and diagnose NAFLD. Ninety-eight subjects with NAFLD and 45 controls from the Fatty Liver in Obesity (FLiO) Study (NCT03183193) were analyzed. NAFLD was diagnosed and graded by ultrasound and classified into two groups: 0 (controls) and ≥ 1 (NAFLD). Hepatic status was additionally assessed through magnetic resonance imaging (MRI), elastography, and determination of transaminases. Anthropometry, body composition (DXA), biochemical parameters, and lifestyle factors were evaluated as well. Non-targeted metabolomics of serum was performed with high-performance liquid chromatography coupled to time-of-flight mass spectrometry (HPLC-TOF-MS). Isoliquiritigenin (ISO) had the strongest association with NAFLD out of the determinant metabolites. Individuals with higher concentrations of ISO had healthier metabolic and hepatic status and were less likely to have NAFLD (OR 0.13). Receiver operating characteristic (ROC) curves demonstrated the predictive power of ISO in panel combination with other NAFLD and IR-related variables, such as visceral adipose tissue (VAT) (AUROC 0.972), adiponectin (AUROC 0.917), plasmatic glucose (AUROC 0.817), and CK18-M30 (AUROC 0.810). Individuals with lower levels of ISO have from 71 to 82% more risk of presenting NAFLD compared to individuals with higher levels. Metabolites such as ISO, in combination with visceral adipose tissue, IR, and related markers, constitute a potential non-invasive tool to predict and diagnose NAFLD.
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Affiliation(s)
- Paola Mogna-Peláez
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, Centre for Nutrition Research, University of Navarra, 31008, Pamplona, Spain
| | - Ana Romo-Hualde
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, Centre for Nutrition Research, 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, Centre for Nutrition Research, 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, Centre for Nutrition Research, 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
| | - David Muñoz-Prieto
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, Centre for Nutrition Research, University of Navarra, 31008, Pamplona, 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
| | - J Ignacio Monreal
- Clinical Chemistry Department, Clínica Universidad de 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, 07122, Palma, Spain
| | - Alfredo Martínez
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, Centre for Nutrition Research, University of Navarra, 31008, Pamplona, Spain
| | - Itziar Abete
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, Centre for Nutrition Research, 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, Centre for Nutrition Research, 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.
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Zhao M, Mei F, Lu J, Xiang Q, Xia G, Zhang X, Liu Z, Zhang C, Shen X, Zhong Q. Gadus morhua Eggs Sialoglycoprotein Prevent Estrogen Deficiency-Induced High Bone Turnover by Controlling OPG/RANKL/TRAF6 Pathway and Serum Metabolism. Front Nutr 2022; 9:871521. [PMID: 35495954 PMCID: PMC9040668 DOI: 10.3389/fnut.2022.871521] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 03/01/2022] [Indexed: 12/26/2022] Open
Abstract
In recent years, the development of safe and effective anti-osteoporosis factors has attracted extensive attention. In this study, an estrogen-deficient osteoporosis rat model was employed to study the improving mechanism of sialoglycoprotein isolated from Gadus morhua eggs (Gds) against osteoporosis. The results showed that compared with OVX, Gds ameliorated the trabecular microstructure, especially the increased trabecular thickness, decreased trabecular separation, and enhanced the trabecular number. The analysis of qRT-PCR and western blotting found that Gds reduced bone resorption by inhibiting RANKL-induced osteoclastogenesis. The LC-MS/MS was used to investigate serum metabolism, and the enrichment metabolites were analyzed by the KEGG pathway. The results revealed that the Gds significantly altered the fat anabolism pathway, which includes ovarian steroidogenesis pathway and arachidonic acid metabolism pathway. Altogether, Gds could improve osteoporosis by suppressing high bone turnover via controlling OPG/RANKL/TRAF6 pathway, which is implicated with ovarian steroidogenesis pathway and arachidonic acid metabolism pathway. These findings indicated that Gds could be a candidate factor for anti-osteoporosis.
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Affiliation(s)
- Meihui Zhao
- Hainan Engineering Research Center of Aquatic Resources Efficient Utilization in South China Sea, School of Food Science and Engineering, Hainan University, Hainan, China
- Collaborative Innovation Center of Provincial and Ministerial Co-construction for Marine Food Deep Processing, Dalian Polytechnic University, Dalian, China
- Key Laboratory of Food Nutrition and Functional Food of Hainan Province, Hainan University, Haikou, China
| | - Fengfeng Mei
- Hainan Engineering Research Center of Aquatic Resources Efficient Utilization in South China Sea, School of Food Science and Engineering, Hainan University, Hainan, China
- Collaborative Innovation Center of Provincial and Ministerial Co-construction for Marine Food Deep Processing, Dalian Polytechnic University, Dalian, China
- Key Laboratory of Food Nutrition and Functional Food of Hainan Province, Hainan University, Haikou, China
| | - Jinfeng Lu
- Hainan Engineering Research Center of Aquatic Resources Efficient Utilization in South China Sea, School of Food Science and Engineering, Hainan University, Hainan, China
| | - Qingying Xiang
- Hainan Engineering Research Center of Aquatic Resources Efficient Utilization in South China Sea, School of Food Science and Engineering, Hainan University, Hainan, China
| | - Guanghua Xia
- Hainan Engineering Research Center of Aquatic Resources Efficient Utilization in South China Sea, School of Food Science and Engineering, Hainan University, Hainan, China
- Collaborative Innovation Center of Provincial and Ministerial Co-construction for Marine Food Deep Processing, Dalian Polytechnic University, Dalian, China
- Key Laboratory of Food Nutrition and Functional Food of Hainan Province, Hainan University, Haikou, China
- *Correspondence: Guanghua Xia,
| | - Xueying Zhang
- Hainan Engineering Research Center of Aquatic Resources Efficient Utilization in South China Sea, School of Food Science and Engineering, Hainan University, Hainan, China
- Collaborative Innovation Center of Provincial and Ministerial Co-construction for Marine Food Deep Processing, Dalian Polytechnic University, Dalian, China
- Key Laboratory of Food Nutrition and Functional Food of Hainan Province, Hainan University, Haikou, China
| | - Zhongyuan Liu
- Hainan Engineering Research Center of Aquatic Resources Efficient Utilization in South China Sea, School of Food Science and Engineering, Hainan University, Hainan, China
- Collaborative Innovation Center of Provincial and Ministerial Co-construction for Marine Food Deep Processing, Dalian Polytechnic University, Dalian, China
- Key Laboratory of Food Nutrition and Functional Food of Hainan Province, Hainan University, Haikou, China
| | - Chenghui Zhang
- Hainan Engineering Research Center of Aquatic Resources Efficient Utilization in South China Sea, School of Food Science and Engineering, Hainan University, Hainan, China
- Key Laboratory of Food Nutrition and Functional Food of Hainan Province, Hainan University, Haikou, China
| | - Xuanri Shen
- Hainan Engineering Research Center of Aquatic Resources Efficient Utilization in South China Sea, School of Food Science and Engineering, Hainan University, Hainan, China
- Collaborative Innovation Center of Provincial and Ministerial Co-construction for Marine Food Deep Processing, Dalian Polytechnic University, Dalian, China
- Key Laboratory of Food Nutrition and Functional Food of Hainan Province, Hainan University, Haikou, China
| | - Qiuping Zhong
- Hainan Engineering Research Center of Aquatic Resources Efficient Utilization in South China Sea, School of Food Science and Engineering, Hainan University, Hainan, China
- Key Laboratory of Food Nutrition and Functional Food of Hainan Province, Hainan University, Haikou, China
- Qiuping Zhong,
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