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Hernandez-Baixauli J, Chomiciute G, Alcaide-Hidalgo JM, Crescenti A, Baselga-Escudero L, Palacios-Jordan H, Foguet-Romero E, Pedret A, Valls RM, Solà R, Mulero M, Del Bas JM. Developing a model to predict the early risk of hypertriglyceridemia based on inhibiting lipoprotein lipase (LPL): a translational study. Sci Rep 2023; 13:22646. [PMID: 38114521 PMCID: PMC10730820 DOI: 10.1038/s41598-023-49277-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 12/06/2023] [Indexed: 12/21/2023] Open
Abstract
Hypertriglyceridemia (HTG) is an independent risk factor for atherosclerotic cardiovascular disease (ASCVD). One of the multiple origins of HTG alteration is impaired lipoprotein lipase (LPL) activity, which is an emerging target for HTG treatment. We hypothesised that early, even mild, alterations in LPL activity might result in an identifiable metabolomic signature. The aim of the present study was to assess whether a metabolic signature of altered LPL activity in a preclinical model can be identified in humans. A preclinical LPL-dependent model of HTG was developed using a single intraperitoneal injection of poloxamer 407 (P407) in male Wistar rats. A rat metabolomics signature was identified, which led to a predictive model developed using machine learning techniques. The predictive model was applied to 140 humans classified according to clinical guidelines as (1) normal, less than 1.7 mmol/L; (2) risk of HTG, above 1.7 mmol/L. Injection of P407 in rats induced HTG by effectively inhibiting plasma LPL activity. Significantly responsive metabolites (i.e. specific triacylglycerols, diacylglycerols, phosphatidylcholines, cholesterol esters and lysophospholipids) were used to generate a predictive model. Healthy human volunteers with the impaired predictive LPL signature had statistically higher levels of TG, TC, LDL and APOB than those without the impaired LPL signature. The application of predictive metabolomic models based on mechanistic preclinical research may be considered as a strategy to stratify subjects with HTG of different origins. This approach may be of interest for precision medicine and nutritional approaches.
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Affiliation(s)
- Julia Hernandez-Baixauli
- Eurecat, Centre Tecnològic de Catalunya, Unitat de Nutrició i Salut, 43204, Reus, Spain
- Laboratory of Metabolism and Obesity, Vall d'Hebron-Institut de Recerca, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Gertruda Chomiciute
- Eurecat, Centre Tecnològic de Catalunya, Unitat de Nutrició i Salut, 43204, Reus, Spain
| | | | - Anna Crescenti
- Eurecat, Centre Tecnològic de Catalunya, Unitat de Nutrició i Salut, 43204, Reus, Spain
| | | | - Hector Palacios-Jordan
- Eurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences (COS), Joint Unit Universitat Rovira i Virgili-EURECAT, 43204, Reus, Spain
| | - Elisabet Foguet-Romero
- Eurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences (COS), Joint Unit Universitat Rovira i Virgili-EURECAT, 43204, Reus, Spain
| | - Anna Pedret
- Functional Nutrition, Oxidation and Cardiovascular Diseases Group (NFOC-Salut), Facultat de Medicina i Ciències de la Salut, Universitat Rovira I Virgili, C/Sant Llorenç, 21, 43201, Reus, Spain
| | - Rosa M Valls
- Functional Nutrition, Oxidation and Cardiovascular Diseases Group (NFOC-Salut), Facultat de Medicina i Ciències de la Salut, Universitat Rovira I Virgili, C/Sant Llorenç, 21, 43201, Reus, Spain
| | - Rosa Solà
- Functional Nutrition, Oxidation and Cardiovascular Diseases Group (NFOC-Salut), Facultat de Medicina i Ciències de la Salut, Universitat Rovira I Virgili, C/Sant Llorenç, 21, 43201, Reus, Spain
- Internal Medicine Service, Hospital Universitari Sant Joan de Reus, Av/del Doctor Josep Laporte, 2, 43204, Reus, Spain
| | - Miquel Mulero
- Nutrigenomics Research Group, Department of Biochemistry and Biotechnology, Universitat Rovira i Virgili, 43007, Tarragona, Spain.
| | - Josep M Del Bas
- Eurecat, Centre Tecnològic de Catalunya, Àrea Biotecnologia, Reus, Spain.
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