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Novau-Ferré N, Rojas M, Gutierrez-Tordera L, Arcelin P, Folch J, Papandreou C, Bulló M. Lipoprotein Particle Profiles Associated with Telomere Length and Telomerase Complex Components. Nutrients 2023; 15:nu15112624. [PMID: 37299586 DOI: 10.3390/nu15112624] [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: 05/09/2023] [Revised: 05/29/2023] [Accepted: 05/31/2023] [Indexed: 06/12/2023] Open
Abstract
Telomere length (TL) is a well-known marker of age-related diseases. Oxidative stress and inflammation increase the rate of telomere shortening, triggering cellular senescence. Although lipoproteins could have anti-inflammatory and proinflammatory functional properties, the relationship between lipoprotein particles with TL and telomerase activity-related genes has not been investigated much. In this study, we assessed the associations of lipoprotein subfractions with telomere length, TERT, and WRAP53 expression in a total of 54 pre-diabetic subjects from the EPIRDEM study. We regressed TL, TERT, and WRAP53 on 12 lipoprotein subclasses, employing a Gaussian linear regression method with Lasso penalty to determine a lipoprotein profile associated with telomere-related parameters. The covariates included age, sex, body mass index (BMI), dyslipidemia, statin consumption, and physical activity leisure time. We identified a lipoprotein profile composed of four lipoprotein subfractions associated with TL (Pearson r = 0.347, p-value = 0.010), two lipoprotein subfractions associated with TERT expression (Pearson r = 0.316, p-value = 0.020), and five lipoprotein subfractions associated with WRAP53 expression (Pearson r = 0.379, p-value =0.005). After adjusting for known confounding factors, most lipoprotein profiles maintained the association with TL, TERT, and WRAP53. Overall, medium and small-sized HDL particles were associated with shorter telomeres and lower expression of TERT and WRAP53. Large HDL particles were associated with longer telomere and lower expression of WRAP53, but not with TERT. Our results suggest that the lipoprotein profiles are associated with telomere length, TERT, and WRAP53 expression and should be considered when assessing the risk of chronic diseases.
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Affiliation(s)
- Nil Novau-Ferré
- Nutrition and Metabolic Health Research Group, Department of Biochemistry and Biotechnology, Rovira i Virgili University (URV), 43201 Reus, Spain
- Institute of Health Pere Virgili (IISPV), 43204 Reus, Spain
- Center of Environmental, Food and Toxicological Technology(TecnATox), Rovira i Virgili University, 43201 Reus, Spain
| | - Melina Rojas
- Nutrition and Metabolic Health Research Group, Department of Biochemistry and Biotechnology, Rovira i Virgili University (URV), 43201 Reus, Spain
- Institute of Health Pere Virgili (IISPV), 43204 Reus, Spain
- Center of Environmental, Food and Toxicological Technology(TecnATox), Rovira i Virgili University, 43201 Reus, Spain
| | - Laia Gutierrez-Tordera
- Nutrition and Metabolic Health Research Group, Department of Biochemistry and Biotechnology, Rovira i Virgili University (URV), 43201 Reus, Spain
- Institute of Health Pere Virgili (IISPV), 43204 Reus, Spain
- Center of Environmental, Food and Toxicological Technology(TecnATox), Rovira i Virgili University, 43201 Reus, Spain
| | - Pierre Arcelin
- Institute of Health Pere Virgili (IISPV), 43204 Reus, Spain
- Atención Básica de Salud (ABS) Reus V. Centro de Atención Primaria Marià Fortuny, SAGESSA, 43204 Reus, Spain
| | - Jaume Folch
- Nutrition and Metabolic Health Research Group, Department of Biochemistry and Biotechnology, Rovira i Virgili University (URV), 43201 Reus, Spain
- Institute of Health Pere Virgili (IISPV), 43204 Reus, Spain
- Center of Environmental, Food and Toxicological Technology(TecnATox), Rovira i Virgili University, 43201 Reus, Spain
- Biomedical Research Networking Centre in Neurodegenerative Diseases (CIBERNED), Carlos III Health Institute, 28031 Madrid, Spain
| | - Christopher Papandreou
- Nutrition and Metabolic Health Research Group, Department of Biochemistry and Biotechnology, Rovira i Virgili University (URV), 43201 Reus, Spain
- Institute of Health Pere Virgili (IISPV), 43204 Reus, Spain
- Center of Environmental, Food and Toxicological Technology(TecnATox), Rovira i Virgili University, 43201 Reus, Spain
- Department of Nutrition and Dietetics Sciences, School of Health Sciences, Hellenic Mediterranean University (HMU), 72300 Siteia, Greece
| | - Mònica Bulló
- Nutrition and Metabolic Health Research Group, Department of Biochemistry and Biotechnology, Rovira i Virgili University (URV), 43201 Reus, Spain
- Institute of Health Pere Virgili (IISPV), 43204 Reus, Spain
- Center of Environmental, Food and Toxicological Technology(TecnATox), Rovira i Virgili University, 43201 Reus, Spain
- Atención Básica de Salud (ABS) Reus V. Centro de Atención Primaria Marià Fortuny, SAGESSA, 43204 Reus, Spain
- CIBER Physiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, 28029 Madrid, Spain
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Usova EII, Alieva AS, Yakovlev AN, Alieva MS, Prokhorikhin AA, Konradi AO, Shlyakhto EV, Magni P, Catapano AL, Baragetti A. Integrative Analysis of Multi-Omics and Genetic Approaches-A New Level in Atherosclerotic Cardiovascular Risk Prediction. Biomolecules 2021; 11:1597. [PMID: 34827594 PMCID: PMC8615817 DOI: 10.3390/biom11111597] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 10/25/2021] [Accepted: 10/27/2021] [Indexed: 12/18/2022] Open
Abstract
Genetics and environmental and lifestyle factors deeply affect cardiovascular diseases, with atherosclerosis as the etiopathological factor (ACVD) and their early recognition can significantly contribute to an efficient prevention and treatment of the disease. Due to the vast number of these factors, only the novel "omic" approaches are surmised. In addition to genomics, which extended the effective therapeutic potential for complex and rarer diseases, the use of "omics" presents a step-forward that can be harnessed for more accurate ACVD prediction and risk assessment in larger populations. The analysis of these data by artificial intelligence (AI)/machine learning (ML) strategies makes is possible to decipher the large amount of data that derives from such techniques, in order to provide an unbiased assessment of pathophysiological correlations and to develop a better understanding of the molecular background of ACVD. The predictive models implementing data from these "omics", are based on consolidated AI best practices for classical ML and deep learning paradigms that employ methods (e.g., Integrative Network Fusion method, using an AI/ML supervised strategy and cross-validation) to validate the reproducibility of the results. Here, we highlight the proposed integrated approach for the prediction and diagnosis of ACVD with the presentation of the key elements of a joint scientific project of the University of Milan and the Almazov National Medical Research Centre.
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Affiliation(s)
- EIena I. Usova
- Almazov National Medical Research Centre, 197341 Saint Petersburg, Russia; (E.I.U.); (A.N.Y.); (M.S.A.); (A.A.P.); (A.O.K.); (E.V.S.)
| | - Asiiat S. Alieva
- Almazov National Medical Research Centre, 197341 Saint Petersburg, Russia; (E.I.U.); (A.N.Y.); (M.S.A.); (A.A.P.); (A.O.K.); (E.V.S.)
| | - Alexey N. Yakovlev
- Almazov National Medical Research Centre, 197341 Saint Petersburg, Russia; (E.I.U.); (A.N.Y.); (M.S.A.); (A.A.P.); (A.O.K.); (E.V.S.)
| | - Madina S. Alieva
- Almazov National Medical Research Centre, 197341 Saint Petersburg, Russia; (E.I.U.); (A.N.Y.); (M.S.A.); (A.A.P.); (A.O.K.); (E.V.S.)
| | - Alexey A. Prokhorikhin
- Almazov National Medical Research Centre, 197341 Saint Petersburg, Russia; (E.I.U.); (A.N.Y.); (M.S.A.); (A.A.P.); (A.O.K.); (E.V.S.)
| | - Alexandra O. Konradi
- Almazov National Medical Research Centre, 197341 Saint Petersburg, Russia; (E.I.U.); (A.N.Y.); (M.S.A.); (A.A.P.); (A.O.K.); (E.V.S.)
| | - Evgeny V. Shlyakhto
- Almazov National Medical Research Centre, 197341 Saint Petersburg, Russia; (E.I.U.); (A.N.Y.); (M.S.A.); (A.A.P.); (A.O.K.); (E.V.S.)
| | - Paolo Magni
- Department of Pharmacological and Biomolecular Sciences, Università degli Studi di Milano, 20133 Milan, Italy; (A.L.C.); (A.B.)
- IRCCS Multimedica Hospital, Sesto San Giovanni, 20099 Milan, Italy
| | - Alberico L. Catapano
- Department of Pharmacological and Biomolecular Sciences, Università degli Studi di Milano, 20133 Milan, Italy; (A.L.C.); (A.B.)
- IRCCS Multimedica Hospital, Sesto San Giovanni, 20099 Milan, Italy
| | - Andrea Baragetti
- Department of Pharmacological and Biomolecular Sciences, Università degli Studi di Milano, 20133 Milan, Italy; (A.L.C.); (A.B.)
- IRCCS Multimedica Hospital, Sesto San Giovanni, 20099 Milan, Italy
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Abstract
Hematopoiesis is the process that leads to multiple leukocyte lineage generation within the bone marrow. This process is maintained throughout life thanks to a nonstochastic division of hematopoietic stem cells (HSCs), where during each division, one daughter cell retains pluripotency while the other differentiates into a restricted multipotent progenitor (MPP) that converts into mature, committed circulating cell. This process is tightly regulated at the level of cellular metabolism and the shift from anaerobic glycolysis, typical of quiescent HSC, to oxidative metabolism fosters HSCs proliferation and commitment. Systemic and local factors influencing metabolism alter HSCs balance under pathological conditions, with chronic metabolic and inflammatory diseases driving HSCs commitment toward activated blood immune cell subsets. This is the case of atherosclerosis, where impaired systemic lipid metabolism affects HSCs epigenetics that reflects into increased differentiation toward activated circulating subsets. Aim of this review is to discuss the impact of lipids and lipoproteins on HSCs pathophysiology, with a focus on the molecular mechanisms influencing cellular metabolism. A better understanding of these aspects will shed light on innovative strategies to target atherosclerosis-associated inflammation.
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