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Li J, Yang Y, Huang J, Ye D, Sun X, Mao Y, Li S. A comprehensive investigation of dietary micronutrients intakes and the risk of alcoholic liver disease. J Nutr 2024:S0022-3166(24)00393-6. [PMID: 39025330 DOI: 10.1016/j.tjnut.2024.07.012] [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: 12/03/2023] [Revised: 06/07/2024] [Accepted: 07/10/2024] [Indexed: 07/20/2024] Open
Abstract
BACKGROUND The investigation of dietary micronutrients intakes and the risk of alcoholic liver disease (ALD) based on observational studies was limited. OBJECTIVES Our study aimed to explore the associations of 30 dietary micronutrients intakes with the risk of ALD, interactions between dietary micronutrients and genetic variation, and mediation effects of blood and urinary biomarkers on the associations between dietary micronutrients and the risk of ALD. METHODS A case-control study was conducted within the UK Biobank cohort, with 231 incident ALD cases and 1,386 controls. Dietary data were collected using a dietary questionnaire that relied on a 24-hour dietary recall of the previous day. Logistic regression models were employed to assess the associations of dietary micronutrients intakes with the risk of ALD. We conducted stratified analyses on the associations between dietary micronutrients intakes and the risk of ALD by PNPLA3 rs738409 and tested the interactions between dietary micronutrients and genetic variation. In addition, we conducted mediation analyses to investigate the mediating effects of biomarkers on the associations between dietary micronutrients and the risk of ALD. RESULTS Our findings indicated significant inverse associations of thiamin, riboflavin, niacin equivalent, pantothenic acid, vitamin B6, folate, vitamin E, calcium, magnesium, phosphorus, potassium, copper, iodine, and manganese with the risk of ALD (all false discovery rate-Ptrend < 0.050). We also found a significant interaction between PNPLA3 rs738409 and magnesium (Pinteraction= 0.028). Creatinine (enzymatic) in urine, aspartate aminotransferase, and insulin-like growth factor 1 (IGF-1) were the top three biomarkers with the highest number of significant mediation effects on the associations between the dietary micronutrients and the risk of ALD. CONCLUSIONS Dietary intakes of thiamin, riboflavin, niacin equivalent, pantothenic acid, vitamin B6, folate, vitamin E, calcium, magnesium, phosphorus, potassium, copper, iodine, and manganese were inversely associated with the risk of ALD.
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Affiliation(s)
- Jiayu Li
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, China
| | - Yudan Yang
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, China
| | - Jiayi Huang
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, China
| | - Ding Ye
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, China
| | - Xiaohui Sun
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, China
| | - Yingying Mao
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, China.
| | - Songtao Li
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, China.
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Wang S, Lyu Y, Ji S, Liu N, Wu B, Zhao F, Li Z, Qu Y, Zhu Y, Xie L, Li Y, Zhang Z, Song H, Hu X, Qiu Y, Zheng X, Zhang W, Yang Y, Li F, Cai J, Zhu Y, Cao Z, Tan F, Shi X. Heavy metals and metalloids exposure and liver function in Chinese adults - A nationally representative cross-sectional study. ENVIRONMENTAL RESEARCH 2024; 252:118653. [PMID: 38518907 DOI: 10.1016/j.envres.2024.118653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 02/16/2024] [Accepted: 03/05/2024] [Indexed: 03/24/2024]
Abstract
BACKGROUND In China, the effects of heavy metals and metalloids (HMMs) on liver health are not consistently documented, despite their prevalent environmental presence. OBJECTIVE Our research assessed the association between HMMs and liver function biomarkers in a comprehensive sample of Chinese adults. METHODS We analyzed data from 9445 participants in the China National Human Biomonitoring survey. Blood and urine were evaluated for HMM concentrations, and liver health was gauged using serum albumin (ALB), alanine aminotransferase (ALT), and aspartate aminotransferase (AST) metrics. Various statistical methods were employed to understand the relationship between 11 HMMs and liver function, adjusting for multiple factors. We also explored interactions with alcohol intake, gender, and age. RESULTS Among HMMs, selenium in blood [weighted geometric mean (GM) = 95.56 μg/L] and molybdenum in urine (GM = 46.44 μg/L) showed the highest concentrations, while lead in blood (GM = 21.92 μg/L) and arsenic in urine (GM = 19.80 μg/L) had the highest levels among risk HMMs. Manganese and thallium consistently indicated potential risk factor to liver in both sample types, while selenium displayed potential liver protection. Blood HMM mixtures were negatively associated with ALB (β = -0.614, 95% CI: -0.809, -0.418) and positively with AST (β = 0.701, 95% CI: 0.290, 1.111). No significant associations were found in urine HMM mixtures. Manganese, tin, nickel, and selenium were notable in blood mixture associations, with selenium and cobalt being significant in urine. The relationship of certain HMMs varied based on alcohol consumption. CONCLUSION This research highlights the complex relationship between HMM exposure and liver health in Chinese adults, particularly emphasizing metals like manganese, thallium, and selenium. The results suggest a need for public health attention to low dose HMM exposure and underscore the potential benefits of selenium for liver health. Further studies are essential to establish causality.
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Affiliation(s)
- Shiyu Wang
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yuebin Lyu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Saisai Ji
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Nankun Liu
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Bing Wu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Feng Zhao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zheng Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yingli Qu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yuanduo Zhu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Linna Xie
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yawei Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zheng Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Haocan Song
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaojian Hu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yidan Qiu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; Institute of Environmental Health, School of Public Health, and Bioelectromagnetics Laboratory, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Xulin Zheng
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Wenli Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yanwei Yang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Fangyu Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jiayi Cai
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ying Zhu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhaojin Cao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Feng Tan
- Chinese Center for Disease Control and Prevention, Beijing, China.
| | - Xiaoming Shi
- Chinese Center for Disease Control and Prevention, Beijing, China; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.
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Gripshover TC, Wahlang B, Head KZ, Luo J, Bolatimi OE, Smith ML, Rouchka EC, Chariker JH, Xu J, Cai L, Cummins TD, Merchant ML, Zheng H, Kong M, Cave MC. Multiomics Analysis of PCB126's Effect on a Mouse Chronic-Binge Alcohol Feeding Model. ENVIRONMENTAL HEALTH PERSPECTIVES 2024; 132:47007. [PMID: 38619879 PMCID: PMC11018247 DOI: 10.1289/ehp14132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 03/13/2024] [Accepted: 03/14/2024] [Indexed: 04/17/2024]
Abstract
BACKGROUND Environmental pollutants, including polychlorinated biphenyls (PCBs) have been implicated in the pathogenesis of liver disease. Our group recently demonstrated that PCB126 promoted steatosis, hepatomegaly, and modulated intermediary metabolism in a rodent model of alcohol-associated liver disease (ALD). OBJECTIVE To better understand how PCB126 promoted ALD in our previous model, the current study adopts multiple omics approaches to elucidate potential mechanistic hypotheses. METHODS Briefly, male C57BL/6J mice were exposed to 0.2 mg / kg polychlorinated biphenyl (PCB) 126 or corn oil vehicle prior to ethanol (EtOH) or control diet feeding in the chronic-binge alcohol feeding model. Liver tissues were collected and prepared for mRNA sequencing, phosphoproteomics, and inductively coupled plasma mass spectrometry for metals quantification. RESULTS Principal component analysis showed that PCB126 uniquely modified the transcriptome in EtOH-fed mice. EtOH feeding alone resulted in > 4,000 differentially expressed genes (DEGs), and PCB126 exposure resulted in more DEGs in the EtOH-fed group (907 DEGs) in comparison with the pair-fed group (503 DEGs). Top 20 significant gene ontology (GO) biological processes included "peptidyl tyrosine modifications," whereas top 25 significantly decreasing GO molecular functions included "metal/ion/zinc binding." Quantitative, label-free phosphoproteomics and western blot analysis revealed no major significant PCB126 effects on total phosphorylated tyrosine residues in EtOH-fed mice. Quantified hepatic essential metal levels were primarily significantly lower in EtOH-fed mice. PCB126-exposed mice had significantly lower magnesium, cobalt, and zinc levels in EtOH-fed mice. DISCUSSION Previous work has demonstrated that PCB126 is a modifying factor in metabolic dysfunction-associated steatotic liver disease (MASLD), and our current work suggests that pollutants also modify ALD. PCB126 may, in part, be contributing to the malnutrition aspect of ALD, where metal deficiency is known to contribute and worsen prognosis. https://doi.org/10.1289/EHP14132.
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Affiliation(s)
- Tyler C. Gripshover
- Department of Pharmacology and Toxicology, University of Louisville School of Medicine, Louisville, Kentucky, USA
- Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, School of Medicine, University of Louisville, Louisville, Kentucky, USA
- University of Louisville Superfund Research Program, University of Louisville, Louisville, Kentucky, USA
| | - Banrida Wahlang
- Department of Pharmacology and Toxicology, University of Louisville School of Medicine, Louisville, Kentucky, USA
- Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, School of Medicine, University of Louisville, Louisville, Kentucky, USA
- University of Louisville Superfund Research Program, University of Louisville, Louisville, Kentucky, USA
- The Center for Integrative Environmental Health Sciences, University of Louisville, Louisville, Kentucky, USA
| | - Kimberly Z. Head
- Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, School of Medicine, University of Louisville, Louisville, Kentucky, USA
- Hepatobiology & Toxicology COBRE, University of Louisville School of Medicine, Louisville, Kentucky, USA
| | - Jianzhu Luo
- Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, School of Medicine, University of Louisville, Louisville, Kentucky, USA
| | - Oluwanifemi E. Bolatimi
- Department of Pharmacology and Toxicology, University of Louisville School of Medicine, Louisville, Kentucky, USA
| | - Melissa L. Smith
- The Center for Integrative Environmental Health Sciences, University of Louisville, Louisville, Kentucky, USA
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, Kentucky, USA
| | - Eric C. Rouchka
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, Kentucky, USA
- Kentucky IDeA Network of Biomedical Research Excellence (KY INBRE) Bioinformatics Core, University of Louisville, Louisville, Kentucky, USA
| | - Julia H. Chariker
- Kentucky IDeA Network of Biomedical Research Excellence (KY INBRE) Bioinformatics Core, University of Louisville, Louisville, Kentucky, USA
- Department of Neuroscience Training, University of Louisville, Louisville, Kentucky, USA
| | - Jason Xu
- Department of Pediatrics, Pediatric Research Institute, University of Louisville School of Medicine, Louisville, Kentucky, USA
| | - Lu Cai
- Department of Pharmacology and Toxicology, University of Louisville School of Medicine, Louisville, Kentucky, USA
- The Center for Integrative Environmental Health Sciences, University of Louisville, Louisville, Kentucky, USA
- Department of Pediatrics, Pediatric Research Institute, University of Louisville School of Medicine, Louisville, Kentucky, USA
| | - Timothy D. Cummins
- Division of Nephrology and Hypertension, Department of Medicine and Clinical Proteomics Center, University of Louisville, Louisville, Kentucky, USA
| | - Michael L. Merchant
- Department of Pharmacology and Toxicology, University of Louisville School of Medicine, Louisville, Kentucky, USA
- The Center for Integrative Environmental Health Sciences, University of Louisville, Louisville, Kentucky, USA
- Division of Nephrology and Hypertension, Department of Medicine and Clinical Proteomics Center, University of Louisville, Louisville, Kentucky, USA
- University of Louisville Alcohol Research Center, University of Louisville, Louisville, Kentucky, USA
| | - Hao Zheng
- The Center for Integrative Environmental Health Sciences, University of Louisville, Louisville, Kentucky, USA
| | - Maiying Kong
- The Center for Integrative Environmental Health Sciences, University of Louisville, Louisville, Kentucky, USA
- Department of Bioinformatics and Biostatistics School of Public Health and Information Sciences, University of Louisville, Louisville, Kentucky, USA
- University of Louisville Alcohol Research Center, University of Louisville, Louisville, Kentucky, USA
- Brown Cancer Center, University of Louisville, Louisville, Kentucky, USA
| | - Matthew C. Cave
- Department of Pharmacology and Toxicology, University of Louisville School of Medicine, Louisville, Kentucky, USA
- Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, School of Medicine, University of Louisville, Louisville, Kentucky, USA
- University of Louisville Superfund Research Program, University of Louisville, Louisville, Kentucky, USA
- The Center for Integrative Environmental Health Sciences, University of Louisville, Louisville, Kentucky, USA
- Hepatobiology & Toxicology COBRE, University of Louisville School of Medicine, Louisville, Kentucky, USA
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, Kentucky, USA
- University of Louisville Alcohol Research Center, University of Louisville, Louisville, Kentucky, USA
- The Robley Rex Veterans Affairs Medical Center, Louisville, Kentucky, USA
- The Liver Transplant Program at UofL Health – Jewish Hospital Trager Transplant Center, Louisville, Kentucky, USA
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Wang Y, Qin B, Gao S, Wang X, Zhang H, Wu Z. Recent advancements in Mg-based micromotors for biomedical and environmental applications. J Mater Chem B 2023; 11:11483-11495. [PMID: 38054245 DOI: 10.1039/d3tb02339g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2023]
Abstract
Synthetic micro/nanomotors have attracted considerable attention due to their promising potential in the field of biomedicine. Despite their great potential, major micromotors require chemical fuels or complex devices to generate external physical fields for propulsion. Therefore, for future practical medical and environmental applications, Mg-based micromotors that exhibit water-powered movement and thus eliminate the need for toxic fuels, and that display optimal biocompatibility and biodegradability, are attracting attention. In this review, we summarized the recent microarchitectural design of Mg-based micromotors for biomedical applications. We also highlight the mechanism for realizing their water-powered motility. Furthermore, recent biomedical and environmental applications of Mg-based micromotors are introduced. We envision that advanced Mg-based micromotors will have a profound impact in biomedicine.
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Affiliation(s)
- Yue Wang
- School of Medicine and Health, Harbin Institute of Technology, Harbin 150001, China.
| | - Boyu Qin
- Department of Oncology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China.
| | - Sihan Gao
- School of Medicine and Health, Harbin Institute of Technology, Harbin 150001, China.
| | - Xuanchun Wang
- School of Medicine and Health, Harbin Institute of Technology, Harbin 150001, China.
| | - Hongyue Zhang
- Laboratory for Space Environment and Physical Sciences, Harbin Institute of Technology, Harbin 150001, China.
| | - Zhiguang Wu
- School of Medicine and Health, Harbin Institute of Technology, Harbin 150001, China.
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China
- Key Laboratory of Microsystems and Microstructures Manufacturing (Ministry of Education), Harbin Institute of Technology, Harbin 150001, China
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