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Liu C, Liu Y, Liu J, Liu J, Lu T, Yu J, Zhang G, Xu K. Associations between intake of different types of vegetables and metabolic dysfunction-associated fatty liver disease: a population-based study. BMC Public Health 2025; 25:315. [PMID: 39856570 PMCID: PMC11762863 DOI: 10.1186/s12889-025-21331-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Accepted: 01/06/2025] [Indexed: 01/27/2025] Open
Abstract
BACKGROUND Metabolic dysfunction-associated fatty liver disease (MAFLD) presently poses a threat to approximately 24% of the global population. The consumption of healthy diets rich in an abundant assortment of vegetables has been scientifically validated to mitigate the progression of MAFLD. However, it remains uncertain whether all categories of vegetables confer benefits for MAFLD. The objective of this study is to investigate the impact of different types of vegetables on MAFLD, aiming to provide a scientific basis for developing more appropriate dietary recommendations for individuals at high risk of MAFLD. METHODS We investigated the associations between various types of vegetable consumption and the risk of MAFLD, utilizing data sourced from the National Health and Nutrition Examination Survey (NHANES) 2017-2018 cycle. Employing multiple logistic regression and subgroup analyses, we estimated odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS Our analysis encompassed a total of 3162 participants. Remarkably, heightened intake of dark green vegetables demonstrated an innovative association with reduced odds of MAFLD (OR = 0.54; 95% CI: 0.36-0.81; p-value = 0.01), while other kinds of vegetable shown no significant association with MAFLD in the full adjusted model (all p-vale > 0.05). In the subgroup analysis, a prominent inverse correlation between the consumption of dark green vegetables and MAFLD was discerned among female and non-Hispanic white people with higher educational attainment. CONCLUSIONS Our study conclusively demonstrates that a heightened intake of dark green vegetables is linked to diminished odds of MAFLD.
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Affiliation(s)
- Chong Liu
- Department of Cardiology, Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yubo Liu
- Department of Cardiovascular Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jie Liu
- Department of Cardiovascular Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jia Liu
- Department of Cardiology, Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Ting Lu
- Department of Critical Care, Changsha Hospital of Traditional Chinese Medicine, Changsha, Hunan, China
| | - Jingjia Yu
- Department of Cardiology, Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Guogang Zhang
- Department of Cardiology, Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Kai Xu
- Department of Cardiology, Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
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Willett RA, Tryndyak VP, Beland FA, Pogribny IP. Cellular and molecular alterations in a human hepatocellular in vitro model of nonalcoholic fatty liver disease development and stratification. JOURNAL OF ENVIRONMENTAL SCIENCE AND HEALTH. PART C, TOXICOLOGY AND CARCINOGENESIS 2024; 42:74-92. [PMID: 38105681 DOI: 10.1080/26896583.2023.2293493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
The rapidly increasing incidence of nonalcoholic fatty liver disease (NAFLD) is a growing health crisis worldwide. If not detected early, NAFLD progression can lead to irreversible pathological states, including liver fibrosis and cirrhosis. Using in vitro models to understand the molecular pathogenesis has been extremely beneficial; however, most studies have utilized only short-term exposures, highlighting a limitation in current research to model extended fat-induced liver injury. We treated Hep3B cells continuously with a low dose of oleic and palmitic free fatty acids (FFAs) for 7 or 28 days. Transcriptomic analysis identified dysregulated molecular pathways and differential expression of 984 and 917 genes after FFA treatment for 7 and 28 days respectively. DNA methylation analysis of altered DNA methylated regions (DMRs) found 7 DMRs in common. Pathway analysis of differentially expressed genes (DEGs) revealed transcriptomic changes primarily involved in lipid metabolism, small molecule biochemistry, and molecular transport. Western blot analysis revealed changes in PDK4 and CPT1A protein levels, indicative of mitochondrial stress. In line with this, there was mitochondrial morphological change demonstrating breakdown of the mitochondrial network. This in vitro model of human NAFL mimics results observed in human patients and may be used as a pre-clinical model for drug intervention.
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Affiliation(s)
- Rose A Willett
- Division of Biochemical Toxicology, FDA-National Center for Toxicological Research, Jefferson, Arkansas, USA
| | - Volodymyr P Tryndyak
- Division of Biochemical Toxicology, FDA-National Center for Toxicological Research, Jefferson, Arkansas, USA
| | - Frederick A Beland
- Division of Biochemical Toxicology, FDA-National Center for Toxicological Research, Jefferson, Arkansas, USA
| | - Igor P Pogribny
- Division of Biochemical Toxicology, FDA-National Center for Toxicological Research, Jefferson, Arkansas, USA
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Kocas-Kilicarslan ZN, Cetin Z, Faccioli LAP, Motomura T, Amirneni S, Diaz-Aragon R, Florentino RM, Sun Y, Pla-Palacin I, Xia M, Miedel MT, Kurihara T, Hu Z, Ostrowska A, Wang Z, Constantine R, Li A, Taylor DL, Behari J, Soto-Gutierrez A, Tafaleng EN. Polymorphisms Associated With Metabolic Dysfunction-Associated Steatotic Liver Disease Influence the Progression of End-Stage Liver Disease. GASTRO HEP ADVANCES 2023; 3:67-77. [PMID: 38292457 PMCID: PMC10827334 DOI: 10.1016/j.gastha.2023.09.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
BACKGROUND AND AIMS Chronic liver injury that results in cirrhosis and end-stage liver disease (ESLD) causes more than 1 million deaths annually worldwide. Although the impact of genetic factors on the severity of metabolic dysfunction-associated steatotic liver disease (MASLD) and alcohol-related liver disease (ALD) has been previously studied, their contribution to the development of ESLD remains largely unexplored. METHODS We genotyped 6 MASLD-associated polymorphisms in healthy (n = 123), metabolic dysfunction-associated steatohepatitis (MASH) (n = 145), MASLD-associated ESLD (n = 72), and ALD-associated ESLD (n = 57) cohorts and performed multinomial logistic regression to determine the combined contribution of genetic, demographic, and clinical factors to the progression of ESLD. RESULTS Distinct sets of factors are associated with the progression to ESLD. The PNPLA3 rs738409:G and TM6SF2 rs58542926:T alleles, body mass index (BMI), age, and female sex were positively associated with progression from a healthy state to MASH. The PNPLA3 rs738409:G allele, age, male sex, and having type 2 diabetes mellitus were positively associated, while BMI was negatively associated with progression from MASH to MASLD-associated ESLD. The PNPLA3 rs738409:G and GCKR rs780094:T alleles, age, and male sex were positively associated, while BMI was negatively associated with progression from a healthy state to ALD-associated ESLD. The findings indicate that the PNPLA3 rs738409:G allele increases susceptibility to ESLD regardless of etiology, the TM6SF2 rs58542926:T allele increases susceptibility to MASH, and the GCKR rs780094:T allele increases susceptibility to ALD-associated ESLD. CONCLUSION The PNPLA3, TM6SF2, and GCKR minor alleles influence the progression of MASLD-associated or ALD-associated ESLD. Genotyping for these variants in MASLD and ALD patients can enhance risk assessment, prompting early interventions to prevent ESLD.
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Affiliation(s)
- Zehra N. Kocas-Kilicarslan
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Zeliha Cetin
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Lanuza A. P. Faccioli
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Takashi Motomura
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Sriram Amirneni
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Ricardo Diaz-Aragon
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Rodrigo M. Florentino
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Yiyue Sun
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- School of Medicine, Tsinghua University, Beijing, China
| | - Iris Pla-Palacin
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, Pennsylvania
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Mengying Xia
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, Pennsylvania
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Mark T. Miedel
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, Pennsylvania
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Takeshi Kurihara
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Zhiping Hu
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Alina Ostrowska
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Zi Wang
- Department of Statistics, University of Pittsburgh, Pittsburgh, Pennsylvania
| | | | - Albert Li
- Discovery Life Sciences, Huntsville, Alabama
| | - D. Lansing Taylor
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, Pennsylvania
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, Pennsylvania
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Jaideep Behari
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, Pennsylvania
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Alejandro Soto-Gutierrez
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, Pennsylvania
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania
- McGowan Institute for Regenerative Medicine, Pittsburgh, Pennsylvania
| | - Edgar N. Tafaleng
- Department of Pathology, Center for Transcriptional Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
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Zeng M, Chen L, Li Y, Mi Y, Xu L. Problems and Challenges Associated with Renaming Non-alcoholic Fatty Liver Disease to Metabolic Associated Fatty Liver Disease. Medicine (Baltimore) 2023; 3:105-113. [PMCID: PMC10368226 DOI: 10.1097/id9.0000000000000085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Indexed: 10/08/2024] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) has become the world’s largest chronic liver disease in the 21st century, affecting 20%–30% of the world’s population. As the epidemiology, etiology, and pathogenesis of NAFLD have been studied in-depth, it has been gradually recognized that most patients with NAFLD have one or more combined metabolic abnormalities known as metabolic syndrome. In 2020, the international expert group changed the name of NAFLD to metabolic-associated fatty liver disease (MAFLD) and proposed new diagnostic criteria for MAFLD and MAFLD-related liver cirrhosis, as well as the conceptual framework of other cause-related fatty liver diseases to avoid diagnosis based on the exclusion of other causes and better reflect its pathogenesis. However, there are still many ambiguities in the term, and changing the name does not address the unmet key needs in the field. The change from NAFLD to MAFLD was not just a change of definition. The problems and challenges are summarized as follows: epidemiology, children, rationality of “metabolism,” diagnostic criteria, double/multiple causes, drug discovery, clinical trials, and awareness raising. Metabolic-associated fatty liver disease has complex disease characteristics, and there are still some problems that need to be solved.
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Affiliation(s)
- Minghui Zeng
- Clinical School of the Second People’s Hospital, Tianjin Medical University, Tianjin 300192, China
- Department of Hepatology, Tianjin Second People’s Hospital, Tianjin 300192, China
| | - Lin Chen
- Clinical School of the Second People’s Hospital, Tianjin Medical University, Tianjin 300192, China
- Department of Hepatology, Tianjin Second People’s Hospital, Tianjin 300192, China
| | - Yuqin Li
- Clinical School of the Second People’s Hospital, Tianjin Medical University, Tianjin 300192, China
- Department of Hepatology, Tianjin Second People’s Hospital, Tianjin 300192, China
| | - Yuqiang Mi
- Department of Hepatology, Tianjin Second People’s Hospital, Tianjin 300192, China
- Tianjin Research Institute of Liver Diseases, Tianjin 300192, China
| | - Liang Xu
- Department of Hepatology, Tianjin Second People’s Hospital, Tianjin 300192, China
- Tianjin Research Institute of Liver Diseases, Tianjin 300192, China
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