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Shipelin VA, Skiba EA, Budayeva VV, Shumakova AA, Kolobanov AI, Sokolov IE, Maisaya KZ, Guseva GV, Trusov NV, Masyutin AG, Delegan YA, Kocharovskaya YN, Bogun AG, Gmoshinski IV, Khotimchenko SA, Nikityuk DB. Toxicological Characteristics of Bacterial Nanocellulose in an In Vivo Experiment-Part 1: The Systemic Effects. NANOMATERIALS (BASEL, SWITZERLAND) 2024; 14:768. [PMID: 38727362 PMCID: PMC11085383 DOI: 10.3390/nano14090768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 04/17/2024] [Accepted: 04/18/2024] [Indexed: 05/12/2024]
Abstract
Bacterial nanocellulose (BNC) is being considered as a potential replacement for microcrystalline cellulose as a food additive and a source of dietary fiber due to its unique properties. However, studies on the risks of consuming BNC in food are limited, and it is not yet approved for use in food in the US, EU, and Russia. AIM This study aims to perform a toxicological and hygienic assessment of the safety of BNC in a subacute 8-week administration in rats. METHODS BNC was administered to male Wistar rats in doses of 0, 1.0, 10.0, and 100 mg/kg body weight for 8 weeks. Various parameters such as anxiety levels, cognitive function, organ masses, blood serum and liver biochemistry, oxidative stress markers, vitamin levels, antioxidant gene expression, and liver and kidney histology were evaluated. RESULTS Low and medium doses of BNC increased anxiety levels and liver glutathione, while high doses led to elevated LDL cholesterol, creatinine, and uric acid levels. Liver tissue showed signs of degeneration at high doses. BNC did not significantly affect vitamin levels. CONCLUSION The adverse effects of BNC are either not dose-dependent or fall within normal physiological ranges. Any effects on rats are likely due to micronutrient deficiencies or impacts on intestinal microbiota.
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Affiliation(s)
- Vladimir A. Shipelin
- Federal Research Centre of Nutrition, Biotechnology and Food Safety, 109240 Moscow, Russia; (A.A.S.); (A.I.K.); (I.E.S.); (K.Z.M.); (N.V.T.); (I.V.G.); (S.A.K.); (D.B.N.)
- Academic Department of Innovational Materials and Technologies Chemistry, Plekhanov Russian University of Economics, 117997 Moscow, Russia
| | - Ekaterina A. Skiba
- Institute for Problems of Chemical and Energetic Technologies, Siberian Branch of the Russian Academy of Sciences, 659322 Biysk, Russia; (E.A.S.); (V.V.B.)
| | - Vera V. Budayeva
- Institute for Problems of Chemical and Energetic Technologies, Siberian Branch of the Russian Academy of Sciences, 659322 Biysk, Russia; (E.A.S.); (V.V.B.)
| | - Antonina A. Shumakova
- Federal Research Centre of Nutrition, Biotechnology and Food Safety, 109240 Moscow, Russia; (A.A.S.); (A.I.K.); (I.E.S.); (K.Z.M.); (N.V.T.); (I.V.G.); (S.A.K.); (D.B.N.)
| | - Alexey I. Kolobanov
- Federal Research Centre of Nutrition, Biotechnology and Food Safety, 109240 Moscow, Russia; (A.A.S.); (A.I.K.); (I.E.S.); (K.Z.M.); (N.V.T.); (I.V.G.); (S.A.K.); (D.B.N.)
| | - Ilya E. Sokolov
- Federal Research Centre of Nutrition, Biotechnology and Food Safety, 109240 Moscow, Russia; (A.A.S.); (A.I.K.); (I.E.S.); (K.Z.M.); (N.V.T.); (I.V.G.); (S.A.K.); (D.B.N.)
| | - Kirill Z. Maisaya
- Federal Research Centre of Nutrition, Biotechnology and Food Safety, 109240 Moscow, Russia; (A.A.S.); (A.I.K.); (I.E.S.); (K.Z.M.); (N.V.T.); (I.V.G.); (S.A.K.); (D.B.N.)
| | - Galina V. Guseva
- Federal Research Centre of Nutrition, Biotechnology and Food Safety, 109240 Moscow, Russia; (A.A.S.); (A.I.K.); (I.E.S.); (K.Z.M.); (N.V.T.); (I.V.G.); (S.A.K.); (D.B.N.)
| | - Nikita V. Trusov
- Federal Research Centre of Nutrition, Biotechnology and Food Safety, 109240 Moscow, Russia; (A.A.S.); (A.I.K.); (I.E.S.); (K.Z.M.); (N.V.T.); (I.V.G.); (S.A.K.); (D.B.N.)
| | | | - Yanina A. Delegan
- Institute of Biochemistry and Physiology of Microorganisms, Federal Research Center “Pushchino Scientific Center for Biological Research of Russian Academy of Sciences”, 142290 Pushchino, Russia; (Y.A.D.); (Y.N.K.)
| | - Yulia N. Kocharovskaya
- Institute of Biochemistry and Physiology of Microorganisms, Federal Research Center “Pushchino Scientific Center for Biological Research of Russian Academy of Sciences”, 142290 Pushchino, Russia; (Y.A.D.); (Y.N.K.)
| | - Alexander G. Bogun
- Institute of Biochemistry and Physiology of Microorganisms, Federal Research Center “Pushchino Scientific Center for Biological Research of Russian Academy of Sciences”, 142290 Pushchino, Russia; (Y.A.D.); (Y.N.K.)
| | - Ivan V. Gmoshinski
- Federal Research Centre of Nutrition, Biotechnology and Food Safety, 109240 Moscow, Russia; (A.A.S.); (A.I.K.); (I.E.S.); (K.Z.M.); (N.V.T.); (I.V.G.); (S.A.K.); (D.B.N.)
| | - Sergey A. Khotimchenko
- Federal Research Centre of Nutrition, Biotechnology and Food Safety, 109240 Moscow, Russia; (A.A.S.); (A.I.K.); (I.E.S.); (K.Z.M.); (N.V.T.); (I.V.G.); (S.A.K.); (D.B.N.)
- Department of Operative Surgery and Topographic Anatomy, I.M. Sechenov First Moscow State Medical University, 119435 Moscow, Russia
| | - Dmitry B. Nikityuk
- Federal Research Centre of Nutrition, Biotechnology and Food Safety, 109240 Moscow, Russia; (A.A.S.); (A.I.K.); (I.E.S.); (K.Z.M.); (N.V.T.); (I.V.G.); (S.A.K.); (D.B.N.)
- Department of Operative Surgery and Topographic Anatomy, I.M. Sechenov First Moscow State Medical University, 119435 Moscow, Russia
- Department of Ecology and Food Safety, Institute of Ecology, Patrice Lumumba Peoples’ Friendship University of Russia, 117198 Moscow, Russia
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Hu C, Wu H, Zhu Q, Cao N, Wang H. Cholesterol metabolism in T-cell aging: Accomplices or victims. FASEB J 2023; 37:e23136. [PMID: 37584624 DOI: 10.1096/fj.202300515r] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2023] [Revised: 07/12/2023] [Accepted: 07/31/2023] [Indexed: 08/17/2023]
Abstract
Aging has a significant impact on the function and metabolism of T cells. Cholesterol, the most important sterol in mammals, is known as the "gold of the body" because it maintains membrane fluidity, rigidity, and signal transduction while also serving as a precursor of oxysterols, bile acids, and steroid hormones. Cholesterol homeostasis is primarily controlled by uptake, biosynthesis, efflux, and regulatory mechanisms. Previous studies have suggested that there are reciprocal interactions between cholesterol metabolism and T lymphocytes. Here, we will summarize the most recent advances in the effects of cholesterol and its derivatives on T-cell aging. We will furthermore discuss interventions that might be used to help older individuals with immune deficiencies or diminishing immune competence.
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Affiliation(s)
- Cexun Hu
- Department of Clinical Genetics, Yueyang Maternal and Child Health-Care Hospital, Yueyang, P.R. China
- Department of Immunology, Key Laboratory of Medical Science and Laboratory Medicine of Jiangsu Province, School of Medicine, Jiangsu University, Zhenjiang, P.R. China
| | - Hongliang Wu
- Department of Clinical Genetics, Yueyang Maternal and Child Health-Care Hospital, Yueyang, P.R. China
| | - Qun Zhu
- Department of Clinical Genetics, Yueyang Maternal and Child Health-Care Hospital, Yueyang, P.R. China
| | - Na Cao
- Department of Hematology, Yueyang People's Hospital, Yueyang, P. R. China
- Yueyang Hospital Affiliated to Hunan Normal University, Yueyang, P.R. China
| | - Hui Wang
- Department of Immunology, Key Laboratory of Medical Science and Laboratory Medicine of Jiangsu Province, School of Medicine, Jiangsu University, Zhenjiang, P.R. China
- Department of Immunology, School of Medicine, Jiangsu University, Zhenjiang, P.R. China
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Davies C, Morgan AE, Mc Auley MT. Computationally Modelling Cholesterol Metabolism and Atherosclerosis. BIOLOGY 2023; 12:1133. [PMID: 37627017 PMCID: PMC10452179 DOI: 10.3390/biology12081133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Revised: 08/09/2023] [Accepted: 08/10/2023] [Indexed: 08/27/2023]
Abstract
Cardiovascular disease (CVD) is the leading cause of death globally. The underlying pathological driver of CVD is atherosclerosis. The primary risk factor for atherosclerosis is elevated low-density lipoprotein cholesterol (LDL-C). Dysregulation of cholesterol metabolism is synonymous with a rise in LDL-C. Due to the complexity of cholesterol metabolism and atherosclerosis mathematical models are routinely used to explore their non-trivial dynamics. Mathematical modelling has generated a wealth of useful biological insights, which have deepened our understanding of these processes. To date however, no model has been developed which fully captures how whole-body cholesterol metabolism intersects with atherosclerosis. The main reason for this is one of scale. Whole body cholesterol metabolism is defined by macroscale physiological processes, while atherosclerosis operates mainly at a microscale. This work describes how a model of cholesterol metabolism was combined with a model of atherosclerotic plaque formation. This new model is capable of reproducing the output from its parent models. Using the new model, we demonstrate how this system can be utilized to identify interventions that lower LDL-C and abrogate plaque formation.
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Affiliation(s)
- Callum Davies
- Department of Physical, Mathematical and Engineering Sciences, University of Chester, Chester CH1 4BJ, UK;
| | - Amy E. Morgan
- School of Health & Sport Sciences, Liverpool Hope University, Liverpool L16 9JD, UK;
| | - Mark T. Mc Auley
- Department of Physical, Mathematical and Engineering Sciences, University of Chester, Chester CH1 4BJ, UK;
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Wu HC, Hsieh YR, Wang W, Chang CW, Chang IW, Chen CL, Chang CC, Chang CH, Kao WY, Huang SY. Potential Hepatic Lipid Markers Associated with Nonalcoholic Steatohepatitis and Fibrosis in Morbid Obesity Patients. J Clin Med 2023; 12:jcm12113730. [PMID: 37297926 DOI: 10.3390/jcm12113730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 05/23/2023] [Accepted: 05/25/2023] [Indexed: 06/12/2023] Open
Abstract
This study investigated differences in lipidomic profile features in nonalcoholic steatohepatitis (NASH) between mild and significant liver fibrosis cases among patients with morbid obesity. Wedge liver biopsy was performed during sleeve gastrectomy and significant liver fibrosis was defined as a fibrosis score ≥ 2. We selected patients with NASH with non/mild fibrosis (stage F0-F1; n = 30) and NASH with significant fibrosis (stage F2-F4; n = 30). The results of the liver tissue lipidomic analysis revealed that the fold changes of triglyceride (TG) (52:6); cholesterol ester (CE) (20:1); phosphatidylcholine (PC) (38:0) and (50:8); phosphatidic acid (PA) (40:4); phosphatidylinositol (PI) (49:4); phosphatidylglycerol (PG) (40:2); and sphingomyelin (SM) (35:0) and (37:0) were significantly lower in patients with NASH with F2-F4 than those with NASH with F0-F1 (p < 0.05). However, the fold changes of PC (42:4) were relatively higher in patients with NASH with stage 2-4 fibrosis (p < 0.05). Moreover, predictive models incorporating serum markers levels, ultrasonographic studies, and levels of specific lipid components [PC (42:4) and PG (40:2)] yielded the highest area under receiver operating curve (0.941), suggesting a potential correlation between NASH fibrosis stages and liver lipid accumulation among specific lipid species subclasses. This study demonstrated that the concentrations of particular lipid species in the liver correlate with NASH fibrosis stages and may indicate hepatic steatosis regression or progression in patients with morbid obesity.
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Affiliation(s)
- Hua-Chien Wu
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan
| | - Yin-Ru Hsieh
- School of Nutrition and Health Sciences, Taipei Medical University, Taipei 110, Taiwan
| | - Weu Wang
- Division of Digestive Surgery, Department of Surgery, Taipei Medical University Hospital, Taipei 110, Taiwan
- Department of Surgery, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan
- TMU Research Center for Digestive Medicine, Taipei Medical University, Taipei 110, Taiwan
- Graduate Institute of Metabolism and Obesity Sciences, Taipei Medical University, Taipei 110, Taiwan
| | - Ching-Wen Chang
- Graduate Institute of Metabolism and Obesity Sciences, Taipei Medical University, Taipei 110, Taiwan
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD 247202, USA
| | - I-Wei Chang
- Department of Pathology, Taipei Medical University Hospital, Taipei 110, Taiwan
- Department of Pathology, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan
- Department of Clinical Pathology, Wan Fang Hospital, Taipei Medical University, Taipei 110, Taiwan
- Department of Pathology, Shuang Ho Hospital, Taipei Medical University, Taipei 110, Taiwan
| | - Chi-Long Chen
- Department of Pathology, Taipei Medical University Hospital, Taipei 110, Taiwan
- Department of Pathology, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan
| | - Chun-Chao Chang
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan
- TMU Research Center for Digestive Medicine, Taipei Medical University, Taipei 110, Taiwan
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Taipei Medical University Hospital, Taipei 110, Taiwan
| | - Chia-Hsuan Chang
- School of Nutrition and Health Sciences, Taipei Medical University, Taipei 110, Taiwan
| | - Wei-Yu Kao
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan
- TMU Research Center for Digestive Medicine, Taipei Medical University, Taipei 110, Taiwan
- Graduate Institute of Metabolism and Obesity Sciences, Taipei Medical University, Taipei 110, Taiwan
- Department of Pathology, Shuang Ho Hospital, Taipei Medical University, Taipei 110, Taiwan
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Taipei Medical University Hospital, Taipei 110, Taiwan
- Taipei Cancer Center, Taipei Medical University, Taipei 110, Taiwan
| | - Shih-Yi Huang
- School of Nutrition and Health Sciences, Taipei Medical University, Taipei 110, Taiwan
- TMU Research Center for Digestive Medicine, Taipei Medical University, Taipei 110, Taiwan
- Graduate Institute of Metabolism and Obesity Sciences, Taipei Medical University, Taipei 110, Taiwan
- Nutrition Research Center, Taipei Medical University Hospital, Taipei 110, Taiwan
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Mc Auley MT. Dietary restriction and ageing: Recent evolutionary perspectives. Mech Ageing Dev 2022; 208:111741. [PMID: 36167215 DOI: 10.1016/j.mad.2022.111741] [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: 07/12/2022] [Revised: 09/07/2022] [Accepted: 09/22/2022] [Indexed: 12/30/2022]
Abstract
Dietary restriction (DR) represents one of the most robust interventions for extending lifespan. It is not known how DR increases lifespan. The prevailing evolutionary hypothesis suggests the DR response redirects metabolic resources towards somatic maintenance at the expense of investment in reproduction. Consequently, DR acts as a proximate mechanism which promotes a pro-longevity phenotype. This idea is known as resource reallocation. However, growing findings suggest this paradigm could be incomplete. It has been argued that during DR it is not always possible to identify a trade-off between reproduction and lifespan. It is also suggested the relationship between reproduction and somatic maintenance can be uncoupled by the removal or inclusion of specific nutrients. These findings have created an imperative to re-explore the nexus between DR and evolutionary theory. In this review I will address this evolutionary conundrum. My overarching objectives are fourfold: (1) to outline some of the evidence for and against resource reallocation; (2) to examine recent findings which have necessitated a theoretical re-evaluation of the link between life history theory and DR; (3) to present alternatives to the resource reallocation model; (4) to present emerging variables which potentially influence how DR effects evolutionary trade-offs.
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Affiliation(s)
- Mark T Mc Auley
- Faculty of Science and Engineering, Thornton Science Park, University of Chester, Parkgate Road, Chester CH1 4BJ, UK.
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Khan AA, Gupta V, Mahapatra NR. Key regulatory miRNAs in lipid homeostasis: implications for cardiometabolic diseases and development of novel therapeutics. Drug Discov Today 2022; 27:2170-2180. [PMID: 35550438 DOI: 10.1016/j.drudis.2022.05.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 03/24/2022] [Accepted: 05/04/2022] [Indexed: 12/11/2022]
Abstract
Dysregulation of lipid metabolism is associated with cardiovascular/metabolic diseases, including atherosclerosis, liver diseases and type 2 diabetes mellitus (T2DM). Several miRNAs have been reported as regulators of different stages of lipid homeostasis, including cholesterol/fatty acid biosynthesis, degradation, transport, storage, and low-density (LDL) and high-density lipoprotein (HDL) formation. Indeed, various miRNAs are emerging as attractive therapeutic candidates for metabolic/cardiovascular disease (CVD). Here, we summarize the roles of miR-19b, miR-20a, miR-21, miR-27, miR-29, miR-34a, miR-144, miR-148a, and miR-199a in post-transcriptional regulation of genes involved in lipid metabolism and their therapeutic potential. We also discuss experimental strategies for further development of these miRNAs as novel cardiometabolic therapeutics. Teaser: miRNAs have emerged as crucial regulators of lipid homeostasis. Here, we highlight key miRNAs that regulate lipid metabolism and their therapeutic potential in cardiometabolic disease states.
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Affiliation(s)
- Abrar A Khan
- Cardiovascular Genetics Laboratory, Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai 600036, Tamil Nadu, India
| | - Vinayak Gupta
- Cardiovascular Genetics Laboratory, Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai 600036, Tamil Nadu, India; Department of Biotechnology, Bennett University, Plot No. 8-11, Techzone II, Greater Noida 201310, Uttar Pradesh, India
| | - Nitish R Mahapatra
- Cardiovascular Genetics Laboratory, Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai 600036, Tamil Nadu, India.
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Control of Cholesterol Metabolism Using a Systems Approach. BIOLOGY 2022; 11:biology11030430. [PMID: 35336806 PMCID: PMC8945167 DOI: 10.3390/biology11030430] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 03/06/2022] [Accepted: 03/08/2022] [Indexed: 11/25/2022]
Abstract
Simple Summary Cholesterol is the main sterol in mammals that is essential for healthy cell functionining. It plays a key role in metabolic regulation and signaling, it is a precursor molecule of bile acids, oxysterols, and all steroid hormones. It also contributes to the structural makeup of the membranes. Its homeostasis is tightly controlled since it can harm the body if it is allowed to reach abnormal blood concentrations. One of the diseases associated with elevated cholesterol levels being the major cause of morbidities and mortalities worldwide, is atherosclerosis. In this study, we have developed a model of the cholesterol metabolism taking into account local inflammation and oxidative stress. The aim was to investigate the impact of the interplay of those processes and cholesterol metabolism disturbances on the atherosclerosis development and progression. We have also analyzed the effect of combining different classes of drugs targeting selected components of cholesterol metabolism. Abstract Cholesterol is an essential component of mammalian cells and is involved in many fundamental physiological processes; hence, its homeostasis in the body is tightly controlled, and any disturbance has serious consequences. Disruption of the cellular metabolism of cholesterol, accompanied by inflammation and oxidative stress, promotes the formation of atherosclerotic plaques and, consequently, is one of the leading causes of death in the Western world. Therefore, new drugs to regulate disturbed cholesterol metabolism are used and developed, which help to control cholesterol homeostasis but still do not entirely cure atherosclerosis. In this study, a Petri net-based model of human cholesterol metabolism affected by a local inflammation and oxidative stress, has been created and analyzed. The use of knockout of selected pathways allowed us to observe and study the effect of various combinations of commonly used drugs on atherosclerosis. The analysis results led to the conclusion that combination therapy, targeting multiple pathways, may be a fundamental concept in the development of more effective strategies for the treatment and prevention of atherosclerosis.
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Abstract
Cholesterol is an essential component of eukaryotic cellular membranes. It is also an important precursor for making other molecules needed by the body. Cholesterol homeostasis plays an essential role in human health. Having high cholesterol can increase the chances of getting heart disease. As a result of the risks associated with high cholesterol, it is imperative that studies are conducted to determine the best course of action to reduce whole body cholesterol levels. Mathematical models can provide direction on this. By examining existing models, the suitable reactions or processes for drug targeting to lower whole-body cholesterol can be determined. This paper examines existing models in the literature that, in total, cover most of the processes involving cholesterol metabolism and transport, including: the absorption of cholesterol in the intestine; the cholesterol biosynthesis in the liver; the storage and transport of cholesterol between the intestine, the liver, blood vessels, and peripheral cells. The findings presented in these models will be discussed for potential combination to form a comprehensive model of cholesterol within the entire body, which is then taken as an in-silico patient for identifying drug targets, screening drugs, and designing intervention strategies to regulate cholesterol levels in the human body.
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Mc Auley MT. Modeling cholesterol metabolism and atherosclerosis. WIREs Mech Dis 2021; 14:e1546. [PMID: 34931487 DOI: 10.1002/wsbm.1546] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 10/11/2021] [Accepted: 10/14/2021] [Indexed: 12/19/2022]
Abstract
Atherosclerotic cardiovascular disease (ASCVD) is the leading cause of morbidity and mortality among Western populations. Many risk factors have been identified for ASCVD; however, elevated low-density lipoprotein cholesterol (LDL-C) remains the gold standard. Cholesterol metabolism at the cellular and whole-body level is maintained by an array of interacting components. These regulatory mechanisms have complex behavior. Likewise, the mechanisms which underpin atherogenesis are nontrivial and multifaceted. To help overcome the challenge of investigating these processes mathematical modeling, which is a core constituent of the systems biology paradigm has played a pivotal role in deciphering their dynamics. In so doing models have revealed new insights about the key drivers of ASCVD. The aim of this review is fourfold; to provide an overview of cholesterol metabolism and atherosclerosis, to briefly introduce mathematical approaches used in this field, to critically discuss models of cholesterol metabolism and atherosclerosis, and to highlight areas where mathematical modeling could help to investigate in the future. This article is categorized under: Cardiovascular Diseases > Computational Models.
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Warren T, McAllister R, Morgan A, Rai TS, McGilligan V, Ennis M, Page C, Kelly C, Peace A, Corfe BM, Mc Auley M, Watterson S. The Interdependency and Co-Regulation of the Vitamin D and Cholesterol Metabolism. Cells 2021; 10:2007. [PMID: 34440777 PMCID: PMC8392689 DOI: 10.3390/cells10082007] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 07/27/2021] [Accepted: 07/28/2021] [Indexed: 12/30/2022] Open
Abstract
Vitamin D and cholesterol metabolism overlap significantly in the pathways that contribute to their biosynthesis. However, our understanding of their independent and co-regulation is limited. Cardiovascular disease is the leading cause of death globally and atherosclerosis, the pathology associated with elevated cholesterol, is the leading cause of cardiovascular disease. It is therefore important to understand vitamin D metabolism as a contributory factor. From the literature, we compile evidence of how these systems interact, relating the understanding of the molecular mechanisms involved to the results from observational studies. We also present the first systems biology pathway map of the joint cholesterol and vitamin D metabolisms made available using the Systems Biology Graphical Notation (SBGN) Markup Language (SBGNML). It is shown that the relationship between vitamin D supplementation, total cholesterol, and LDL-C status, and between latitude, vitamin D, and cholesterol status are consistent with our knowledge of molecular mechanisms. We also highlight the results that cannot be explained with our current knowledge of molecular mechanisms: (i) vitamin D supplementation mitigates the side-effects of statin therapy; (ii) statin therapy does not impact upon vitamin D status; and critically (iii) vitamin D supplementation does not improve cardiovascular outcomes, despite improving cardiovascular risk factors. For (iii), we present a hypothesis, based on observations in the literature, that describes how vitamin D regulates the balance between cellular and plasma cholesterol. Answering these questions will create significant opportunities for advancement in our understanding of cardiovascular health.
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Affiliation(s)
- Tara Warren
- Northern Ireland Centre for Stratified Medicine, C-TRIC, Altnagelvin Hospital Campus, School of Biomedical Sciences, Ulster University, Derry BT47 6SB, UK; (T.W.); (R.M.); (T.S.R.); (V.M.); (M.E.); (C.P.); (C.K.)
| | - Roisin McAllister
- Northern Ireland Centre for Stratified Medicine, C-TRIC, Altnagelvin Hospital Campus, School of Biomedical Sciences, Ulster University, Derry BT47 6SB, UK; (T.W.); (R.M.); (T.S.R.); (V.M.); (M.E.); (C.P.); (C.K.)
| | - Amy Morgan
- Department of Chemical Engineering, Faculty of Science & Engineering, University of Chester, Parkgate Road, Chester CH1 4BJ, UK; (A.M.); (M.M.A.)
| | - Taranjit Singh Rai
- Northern Ireland Centre for Stratified Medicine, C-TRIC, Altnagelvin Hospital Campus, School of Biomedical Sciences, Ulster University, Derry BT47 6SB, UK; (T.W.); (R.M.); (T.S.R.); (V.M.); (M.E.); (C.P.); (C.K.)
| | - Victoria McGilligan
- Northern Ireland Centre for Stratified Medicine, C-TRIC, Altnagelvin Hospital Campus, School of Biomedical Sciences, Ulster University, Derry BT47 6SB, UK; (T.W.); (R.M.); (T.S.R.); (V.M.); (M.E.); (C.P.); (C.K.)
| | - Matthew Ennis
- Northern Ireland Centre for Stratified Medicine, C-TRIC, Altnagelvin Hospital Campus, School of Biomedical Sciences, Ulster University, Derry BT47 6SB, UK; (T.W.); (R.M.); (T.S.R.); (V.M.); (M.E.); (C.P.); (C.K.)
| | - Christopher Page
- Northern Ireland Centre for Stratified Medicine, C-TRIC, Altnagelvin Hospital Campus, School of Biomedical Sciences, Ulster University, Derry BT47 6SB, UK; (T.W.); (R.M.); (T.S.R.); (V.M.); (M.E.); (C.P.); (C.K.)
| | - Catriona Kelly
- Northern Ireland Centre for Stratified Medicine, C-TRIC, Altnagelvin Hospital Campus, School of Biomedical Sciences, Ulster University, Derry BT47 6SB, UK; (T.W.); (R.M.); (T.S.R.); (V.M.); (M.E.); (C.P.); (C.K.)
| | - Aaron Peace
- Cardiology Unit, Western Health and Social Care Trust, Altnagelvin Regional Hospital, Derry BT47 6SB, UK;
| | - Bernard M. Corfe
- Human Nutrition Research Centre, Institute of Cellular Medicine, William Leech Building, Medical School, Newcastle University, Framlington Place, Newcastle upon Tyne NE2 4HH, UK;
| | - Mark Mc Auley
- Department of Chemical Engineering, Faculty of Science & Engineering, University of Chester, Parkgate Road, Chester CH1 4BJ, UK; (A.M.); (M.M.A.)
| | - Steven Watterson
- Northern Ireland Centre for Stratified Medicine, C-TRIC, Altnagelvin Hospital Campus, School of Biomedical Sciences, Ulster University, Derry BT47 6SB, UK; (T.W.); (R.M.); (T.S.R.); (V.M.); (M.E.); (C.P.); (C.K.)
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Dahdah N, Gonzalez-Franquesa A, Samino S, Gama-Perez P, Herrero L, Perales JC, Yanes O, Malagón MDM, Garcia-Roves PM. Effects of Lifestyle Intervention in Tissue-Specific Lipidomic Profile of Formerly Obese Mice. Int J Mol Sci 2021; 22:3694. [PMID: 33916315 PMCID: PMC8037078 DOI: 10.3390/ijms22073694] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 03/26/2021] [Accepted: 03/28/2021] [Indexed: 01/06/2023] Open
Abstract
Lipids are highly diverse in their composition, properties and distribution in different biological entities. We aim to establish the lipidomes of several insulin-sensitive tissues and to test their plasticity when divergent feeding regimens and lifestyles are imposed. Here, we report a proton nuclear magnetic resonance (1H-NMR) study of lipid abundance across 4 tissues of C57Bl6J male mice that includes the changes in the lipid profile after every lifestyle intervention. Every tissue analysed presented a specific lipid profile irrespective of interventions. Glycerolipids and fatty acids were most abundant in epididymal white adipose tissue (eWAT) followed by liver, whereas sterol lipids and phosphoglycerolipids were highly enriched in hypothalamus, and gastrocnemius had the lowest content in all lipid species compared to the other tissues. Both when subjected to a high-fat diet (HFD) and after a subsequent lifestyle intervention (INT), the lipidome of hypothalamus showed no changes. Gastrocnemius and liver revealed a pattern of increase in content in many lipid species after HFD followed by a regression to basal levels after INT, while eWAT lipidome was affected mainly by the fat composition of the administered diets and not their caloric density. Thus, the present study demonstrates a unique lipidome for each tissue modulated by caloric intake and dietary composition.
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MESH Headings
- Adipose Tissue, White/metabolism
- Animals
- Caloric Restriction
- Diabetes Mellitus, Experimental/etiology
- Diabetes Mellitus, Experimental/metabolism
- Diabetes Mellitus, Type 2/etiology
- Diabetes Mellitus, Type 2/metabolism
- Diet, High-Fat/adverse effects
- Disease Models, Animal
- Healthy Lifestyle
- Hypothalamus/metabolism
- Lipidomics
- Liver/metabolism
- Male
- Mice, Inbred C57BL
- Muscle, Skeletal/metabolism
- Obesity/complications
- Obesity/diet therapy
- Obesity/metabolism
- Physical Conditioning, Animal
- Mice
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Affiliation(s)
- Norma Dahdah
- Department of Physiological Sciences, Universitat de Barcelona, 08907 Barcelona, Spain; (A.G.-F.); (P.G.-P.); (J.C.P.)
| | - Alba Gonzalez-Franquesa
- Department of Physiological Sciences, Universitat de Barcelona, 08907 Barcelona, Spain; (A.G.-F.); (P.G.-P.); (J.C.P.)
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Sara Samino
- Universitat Rovira i Virgili, Department of Electronic Engineering & IISPV, 43004 Tarragona, Spain; (S.S.); (O.Y.)
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Pau Gama-Perez
- Department of Physiological Sciences, Universitat de Barcelona, 08907 Barcelona, Spain; (A.G.-F.); (P.G.-P.); (J.C.P.)
| | - Laura Herrero
- Department of Biochemistry and Physiology, School of Pharmacy and Food Sciences, Institut de Biomedicina de la Universitat de Barcelona (IBUB), Universitat de Barcelona, 08028 Barcelona, Spain;
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain;
| | - José Carlos Perales
- Department of Physiological Sciences, Universitat de Barcelona, 08907 Barcelona, Spain; (A.G.-F.); (P.G.-P.); (J.C.P.)
- Nutrition, Metabolism and Gene Therapy Group, Diabetes and Metabolism Program, Institut d’Investigació Biomèdica de Bellvitge (IDIBELL), 08908 Barcelona, Spain
| | - Oscar Yanes
- Universitat Rovira i Virgili, Department of Electronic Engineering & IISPV, 43004 Tarragona, Spain; (S.S.); (O.Y.)
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Maria Del Mar Malagón
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain;
- Department of Cell Biology, Physiology and Immunology, IMIBIC, Reina Sofía University Hospital, University of Córdoba, 14004 Cordoba, Spain
| | - Pablo Miguel Garcia-Roves
- Department of Physiological Sciences, Universitat de Barcelona, 08907 Barcelona, Spain; (A.G.-F.); (P.G.-P.); (J.C.P.)
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain;
- Nutrition, Metabolism and Gene Therapy Group, Diabetes and Metabolism Program, Institut d’Investigació Biomèdica de Bellvitge (IDIBELL), 08908 Barcelona, Spain
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