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McRae MP. Coenzyme Q10 Supplementation in Reducing Inflammation: An Umbrella Review. J Chiropr Med 2023; 22:131-137. [PMID: 37346240 PMCID: PMC10280088 DOI: 10.1016/j.jcm.2022.07.001] [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: 03/15/2022] [Revised: 06/28/2022] [Accepted: 07/08/2022] [Indexed: 11/29/2022] Open
Abstract
Objective The purpose of this study was to review meta-analyses on the effectiveness of coenzyme Q10 supplementation in reducing inflammation through changes in the inflammatory biomarkers C-reactive protein, interleukin 6 (IL-6), and tumor necrosis factor alpha (TNF-α). Methods An umbrella review of all published meta-analyses was performed. A PubMed search from January 1, 1980, to December 31, 2021, was conducted using the following search strategy: "(coenzyme q10 OR CoQ10 OR ubiquinone OR ubiquinol) AND (meta-analysis OR systematic review)". Only English language publications that provided quantitative statistical analysis on coenzyme Q10 supplementation and markers of inflammation were retrieved. Results Seven meta-analyses were retrieved for inclusion in this umbrella review, and for all 3 inflammatory biomarker marker groups, the median intake of supplemental coenzyme Q10 was 200 mg/d for a median duration of 12 weeks. For C-reactive protein, only 3 of the 7 meta-analyses presented with statistically significant reductions, while statistically significant reductions in IL-6 and TNF-α for were observed in 4 of the 5 meta-analyses and 3 of the 4 meta-analyses, respectively. However, statistically significant heterogeneity was observed in the majority of these meta-analyses. Conclusion The majority of included meta-analyses showed that coenzyme Q10 supplementation significantly decreased the proinflammatory cytokines IL-6 and TNF-α. However, heterogeneity was observed in the majority of these meta-analyses, and therefore the results should be interpreted with caution.
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Affiliation(s)
- Marc P. McRae
- Department of Basic Sciences, National University of Health Sciences, Lombard, Illinois
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Mapuskar KA, Vasquez-Martinez G, Mayoral-Andrade G, Tomanek-Chalkley A, Zepeda-Orozco D, Allen BG. Mitochondrial Oxidative Metabolism: An Emerging Therapeutic Target to Improve CKD Outcomes. Biomedicines 2023; 11:1573. [PMID: 37371668 DOI: 10.3390/biomedicines11061573] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 05/15/2023] [Accepted: 05/19/2023] [Indexed: 06/29/2023] Open
Abstract
Chronic kidney disease (CKD) predisposes one toward end-stage renal disease (ESRD) and its associated morbidity and mortality. Significant metabolic perturbations in conjunction with alterations in redox status during CKD may induce increased production of reactive oxygen species (ROS), including superoxide (O2●-) and hydrogen peroxide (H2O2). Increased O2●- and H2O2 may contribute to the overall progression of renal injury as well as catalyze the onset of comorbidities. In this review, we discuss the role of mitochondrial oxidative metabolism in the pathology of CKD and the recent developments in treating CKD progression specifically targeted to the mitochondria. Recently published results from a Phase 2b clinical trial by our group as well as recently released data from a ROMAN: Phase 3 trial (NCT03689712) suggest avasopasem manganese (AVA) may protect kidneys from cisplatin-induced CKD. Several antioxidants are under investigation to protect normal tissues from cancer-therapy-associated injury. Although many of these antioxidants demonstrate efficacy in pre-clinical models, clinically relevant novel compounds that reduce the severity of AKI and delay the progression to CKD are needed to reduce the burden of kidney disease. In this review, we focus on the various metabolic pathways in the kidney, discuss the role of mitochondrial metabolism in kidney disease, and the general involvement of mitochondrial oxidative metabolism in CKD progression. Furthermore, we present up-to-date literature on utilizing targets of mitochondrial metabolism to delay the pathology of CKD in pre-clinical and clinical models. Finally, we discuss the current clinical trials that target the mitochondria that could potentially be instrumental in advancing the clinical exploration and prevention of CKD.
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Affiliation(s)
- Kranti A Mapuskar
- Free Radical and Radiation Biology Program, Department of Radiation Oncology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA
| | - Gabriela Vasquez-Martinez
- Kidney and Urinary Tract Center, The Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH 43205, USA
| | - Gabriel Mayoral-Andrade
- Kidney and Urinary Tract Center, The Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH 43205, USA
| | - Ann Tomanek-Chalkley
- Free Radical and Radiation Biology Program, Department of Radiation Oncology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA
| | - Diana Zepeda-Orozco
- Kidney and Urinary Tract Center, The Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH 43205, USA
- Department of Pediatrics, The Ohio State University, College of Medicine, Columbus, OH 43210, USA
| | - Bryan G Allen
- Free Radical and Radiation Biology Program, Department of Radiation Oncology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA
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Liu Z, Tian Z, Zhao D, Liang Y, Dai S, Liu M, Hou S, Dong X, Zhaxinima, Yang Y. Effects of Coenzyme Q10 Supplementation on Lipid Profiles in Adults: A Meta-analysis of Randomized Controlled Trials. J Clin Endocrinol Metab 2022; 108:232-249. [PMID: 36337001 DOI: 10.1210/clinem/dgac585] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Indexed: 11/09/2022]
Abstract
CONTEXT Previous meta-analyses have suggested that the effects of coenzyme Q10 (CoQ10) on lipid profiles remain debatable. Additionally, no meta-analysis has explored the optimal intake of CoQ10 for attenuating lipid profiles in adults. OBJECTIVE This study conducted a meta-analysis to determine the effects of CoQ10 on lipid profiles and assess their dose-response relationships in adults. METHODS Databases (Web of Science, PubMed/Medline, Embase, and the Cochrane Library) were systematically searched until August 10, 2022. The random effects model was used to calculate the mean differences (MDs) and 95% CI for changes in circulating lipid profiles. The novel single-stage restricted cubic spline regression model was applied to explore nonlinear dose-response relationships. RESULTS Fifty randomized controlled trials with a total of 2794 participants were included in the qualitative synthesis. The pooled analysis revealed that CoQ10 supplementation significantly reduced total cholesterol (TC) (MD -5.53 mg/dL; 95% CI -8.40, -2.66; I2 = 70%), low-density lipoprotein cholesterol (LDL-C) (MD -3.03 mg/dL; 95% CI -5.25, -0.81; I2 = 54%), and triglycerides (TGs) (MD -9.06 mg/dL; 95% CI -14.04, -4.08; I2 = 65%) and increased high-density lipoprotein cholesterol (HDL-C) (MD 0.83 mg/dL; 95% CI 0.01, 1.65; I2 = 82%). The dose-response analysis showed an inverse J-shaped nonlinear pattern between CoQ10 supplementation and TC in which 400-500 mg/day CoQ10 largely reduced TC (χ2 = 48.54, P < .01). CONCLUSION CoQ10 supplementation decreased the TC, LDL-C, and TG levels, and increased HDL-C levels in adults, and the dosage of 400 to 500 mg/day achieved the greatest effect on TC.
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Affiliation(s)
- Zhihao Liu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, 518107, Guangdong Province, PR China
- Guangdong Provincial Key Laboratory of Food, Nutrition, and Health, Sun Yat-sen University, Guangzhou 510080, China
- Guangdong Engineering Technology Center of Nutrition Transformation, Sun Yat-sen University, Guangzhou 510080, China
| | - Zezhong Tian
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, 518107, Guangdong Province, PR China
- Guangdong Provincial Key Laboratory of Food, Nutrition, and Health, Sun Yat-sen University, Guangzhou 510080, China
- Guangdong Engineering Technology Center of Nutrition Transformation, Sun Yat-sen University, Guangzhou 510080, China
| | - Dan Zhao
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, 518107, Guangdong Province, PR China
- Guangdong Provincial Key Laboratory of Food, Nutrition, and Health, Sun Yat-sen University, Guangzhou 510080, China
- Guangdong Engineering Technology Center of Nutrition Transformation, Sun Yat-sen University, Guangzhou 510080, China
| | - Ying Liang
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, 518107, Guangdong Province, PR China
- Guangdong Provincial Key Laboratory of Food, Nutrition, and Health, Sun Yat-sen University, Guangzhou 510080, China
- Guangdong Engineering Technology Center of Nutrition Transformation, Sun Yat-sen University, Guangzhou 510080, China
| | - Suming Dai
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, 518107, Guangdong Province, PR China
- Guangdong Provincial Key Laboratory of Food, Nutrition, and Health, Sun Yat-sen University, Guangzhou 510080, China
- Guangdong Engineering Technology Center of Nutrition Transformation, Sun Yat-sen University, Guangzhou 510080, China
| | - Meitong Liu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, 518107, Guangdong Province, PR China
- Guangdong Provincial Key Laboratory of Food, Nutrition, and Health, Sun Yat-sen University, Guangzhou 510080, China
- Guangdong Engineering Technology Center of Nutrition Transformation, Sun Yat-sen University, Guangzhou 510080, China
| | - Shanshan Hou
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, 518107, Guangdong Province, PR China
- Guangdong Provincial Key Laboratory of Food, Nutrition, and Health, Sun Yat-sen University, Guangzhou 510080, China
- Guangdong Engineering Technology Center of Nutrition Transformation, Sun Yat-sen University, Guangzhou 510080, China
| | - Xiaoxi Dong
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, 518107, Guangdong Province, PR China
| | - Zhaxinima
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, 518107, Guangdong Province, PR China
| | - Yan Yang
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, 518107, Guangdong Province, PR China
- Guangdong Provincial Key Laboratory of Food, Nutrition, and Health, Sun Yat-sen University, Guangzhou 510080, China
- Guangdong Engineering Technology Center of Nutrition Transformation, Sun Yat-sen University, Guangzhou 510080, China
- China-DRIs Expert Committee on Other Food Substances, Guangzhou 510080, China
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