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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. Environ Health Perspect 2024; 132:47007. [PMID: 38619879 PMCID: PMC11018247 DOI: 10.1289/ehp14132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [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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Li M, Shi P, Yang H, Tong S, Qiu N, Yao F, Du Y, Xi S, Wang F. Tumor necrosis factor mediates the impact of PM 2.5 on bone mineral density: Inflammatory proteome Mendelian randomization and colocalization analyses. Ecotoxicol Environ Saf 2024; 270:115896. [PMID: 38184974 DOI: 10.1016/j.ecoenv.2023.115896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 12/13/2023] [Accepted: 12/26/2023] [Indexed: 01/09/2024]
Abstract
To assess the causal effect of particulate matter 2.5 (PM2.5) on human bone mineral density (BMD) and to explore the possible mechanism and proportion mediated by inflammation-related protein. The genetic correlation between PM2.5 and BMD was assessed using the Linkage Disequilibrium Score (LDSC), and the causal effect between PM2.5 and BMD was assessed by two-sample Mendelian randomization (TSMR). A 2-step Mendelian randomization (MR) approach was employed to evaluate the potential role of inflammation-associated protein as the mediator in the causal association between PM2.5 and BMD. The multivariate Mendelian randomization (MVMR) study was designed to perform mediation analyses, exclude possible confounders and calculate the proportion of mediation. Subsequently, we used Bayesian colocalization analysis to consolidate the MR results. Finally, using drug-target MR design, we evaluated the potential repurposing of tumor necrosis factor (TNF) inhibitors for the treatment of osteoporosis (OP). The results of the analyses show that BMD is negatively influenced by PM2.5 (Inverse variance weighted [IVW] beta [β] = -0.288, 95% confidence interval [CI]: -0.534 - -0.042, P < 0.05). PM2.5 has a positive causal association with TNF (IVW β = 1.564, 95% CI: 0.155 - 2.973, P < 0.05) and a negative causal association with protachykinin-1 (TAC-1) (IVW β = -1.654, 95% CI: -3.063 - -0.244, P < 0.05). TNF has a negative causal association with BMD (Wald ratio β = -0.082, 95% CI: -0.165 - 0.000, P < 0.05) and TAC-1 has a positive causal association with BMD (IVW β = 0.042, 95% CI: 0.007 - 0.077, P < 0.05). After adjusting TNF and TAC-1, PM2.5 has no causal association with BMD (IVW β = -0.200, 95% CI: -0.579 - 0.179, P > 0.05). After adjusting PM2.5 and TAC-1, there was still a negative causal association between TNF and BMD (IVW β = -0.089, 95% CI: -0.166 - -0.012, P < 0.05). In the final drug-target MR study, the protective effect of TNF/TNF receptor 1 (TNFR1) inhibition on BMD was observed. For every 10% decrease of circulating C-reactive protein (CRP) achieved by TNF/TNF receptor 1 (TNFR1) blockade, β was 0.540 (95% CI: 0.040-1.040) for BMD. We found a negative causal association between PM2.5 and BMD and that causal association was mediated by TNF. The results of drug-target MR do support TNFR1 as a promising target for OP prevention among the general population.
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Affiliation(s)
- Mingzheng Li
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention (China Medical University), Ministry of Education, China; Department of Environmental and Occupational Health, School of Public Health, China Medical University, Shenyang 110122, China
| | - Peng Shi
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention (China Medical University), Ministry of Education, China; Department of Environmental and Occupational Health, School of Public Health, China Medical University, Shenyang 110122, China
| | - Huajie Yang
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention (China Medical University), Ministry of Education, China; Department of Environmental and Occupational Health, School of Public Health, China Medical University, Shenyang 110122, China
| | - Suyuan Tong
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention (China Medical University), Ministry of Education, China; Department of Environmental and Occupational Health, School of Public Health, China Medical University, Shenyang 110122, China
| | - Nianfeng Qiu
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention (China Medical University), Ministry of Education, China; Department of Environmental and Occupational Health, School of Public Health, China Medical University, Shenyang 110122, China
| | - Fan Yao
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention (China Medical University), Ministry of Education, China; Department of Environmental and Occupational Health, School of Public Health, China Medical University, Shenyang 110122, China
| | - Yuan Du
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention (China Medical University), Ministry of Education, China; Department of Environmental and Occupational Health, School of Public Health, China Medical University, Shenyang 110122, China
| | - Shuhua Xi
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention (China Medical University), Ministry of Education, China; Department of Environmental and Occupational Health, School of Public Health, China Medical University, Shenyang 110122, China.
| | - Fei Wang
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention (China Medical University), Ministry of Education, China; Department of Environmental and Occupational Health, School of Public Health, China Medical University, Shenyang 110122, China.
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