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Muralidharan J, Papandreou C, Soria-Florido MT, Sala-Vila A, Blanchart G, Estruch R, Martínez-González MA, Corella D, Ros E, Ruiz-Canela M, Fito M, Salas-Salvadó J, Bulló M. Cross-Sectional Associations between HDL Structure or Function, Cell Membrane Fatty Acid Composition, and Inflammation in Elderly Adults. J Nutr 2022; 152:789-795. [PMID: 34637509 DOI: 10.1093/jn/nxab362] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 09/15/2021] [Accepted: 10/01/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Cell membrane fatty acid composition has been related to inflammation and cardiovascular disease (CVD) risk. Dysregulation of HDL function is also considered a CVD risk factor. OBJECTIVES We aimed to investigate whether the content of cell membrane fatty acids and HDL functionality are linked to each other as well as to inflammation. METHODS This cross-sectional analysis involved 259 participants (mean age: 67.9 y) with overweight/obesity (mean BMI: 29.5 kg/m2) from a coronary artery disease case-control study nested within the PREDIMED (PREvención con DIeta MEDiterránea) trial for which HDL functional parameters [apoA-I, apoA-IV, and apoC-III; cholesterol efflux capacity (CEC); HDL oxidative inflammatory index (HOII); sphingosine-1-phosphate (S1P); serum amyloid A (SAA); and complement-3 (C3) protein] were quantified. We also assessed 22 fatty acids in blood cell membranes using GC and inflammatory markers (IFN-γ and IL-1b, IL-6, IL-8, and IL-10) in serum. Associations of HDL-related variables with cell membrane fatty acids and with inflammatory markers were assessed using multivariable linear regression analyses with elastic net penalty. RESULTS ApoA-I, apoC-III, CEC, HOII, S1P, and SAA, but not apoA-IV and C3 protein, were associated with membrane fatty acids. S1P and SAA were directly associated with IL-6, whereas apoA-I and C3 protein showed inverse associations with IL-6. Specific fatty acids including myristic acid (14:0) and long-chain n-6 fatty acids being negatively and positively associated with IL-8, respectively, were also found to be positively associated with SAA. CONCLUSIONS This study suggests interrelations between indicators of inflammation and both blood cell membrane fatty acid composition and HDL structure/functional parameters in a Mediterranean population at high CVD risk.This trial was registered at www.isrctn.com as ISRCTN35739639.
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Affiliation(s)
- Jananee Muralidharan
- Nutrition Unit, Department of Biochemistry and Biotechnology, Rovira i Virgili University, Reus, Spain
- Pere Virgili Health Research Institute (IISPV), Reus, Spain
- Center for Biomedical Research Network Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain
| | - Christopher Papandreou
- Nutrition Unit, Department of Biochemistry and Biotechnology, Rovira i Virgili University, Reus, Spain
- Pere Virgili Health Research Institute (IISPV), Reus, Spain
- Center for Biomedical Research Network Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain
| | - Maria T Soria-Florido
- Center for Biomedical Research Network Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Cardiovascular and Nutrition Research Group, Hospital del Mar Research Institute, Barcelona, Spain
| | - Aleix Sala-Vila
- Cardiovascular and Nutrition Research Group, Hospital del Mar Research Institute, Barcelona, Spain
- Fatty Acid Research Institute, Sioux Falls, SD, USA
| | - Gemma Blanchart
- Center for Biomedical Research Network Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Cardiovascular and Nutrition Research Group, Hospital del Mar Research Institute, Barcelona, Spain
| | - Ramon Estruch
- Center for Biomedical Research Network Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Department of Internal Medicine, Hospital Clinic, IDIBAPS August Pi i Sunyer Biomedical Research Institute, University of Barcelona, Barcelona, Spain
| | - Miguel A Martínez-González
- Center for Biomedical Research Network Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Dolores Corella
- Center for Biomedical Research Network Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Emilio Ros
- Center for Biomedical Research Network Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Fatty Acid Research Institute, Sioux Falls, SD, USA
| | - Miguel Ruiz-Canela
- Center for Biomedical Research Network Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Montse Fito
- Center for Biomedical Research Network Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Cardiovascular and Nutrition Research Group, Hospital del Mar Research Institute, Barcelona, Spain
| | - Jordi Salas-Salvadó
- Nutrition Unit, Department of Biochemistry and Biotechnology, Rovira i Virgili University, Reus, Spain
- Pere Virgili Health Research Institute (IISPV), Reus, Spain
- Center for Biomedical Research Network Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
- Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain
| | - Mònica Bulló
- Nutrition Unit, Department of Biochemistry and Biotechnology, Rovira i Virgili University, Reus, Spain
- Pere Virgili Health Research Institute (IISPV), Reus, Spain
- Center for Biomedical Research Network Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, Madrid, Spain
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Ronci M, Leporini L, Felaco P, Sirolli V, Pieroni L, Greco V, Aceto A, Urbani A, Bonomini M. Proteomic Characterization of a New asymmetric Cellulose Triacetate Membrane for Hemodialysis. Proteomics Clin Appl 2018; 12:e1700140. [PMID: 29808585 DOI: 10.1002/prca.201700140] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2017] [Revised: 04/27/2018] [Indexed: 12/24/2022]
Abstract
PURPOSE The artificial membrane inside the haemodialyzer is the main determinant of the quality and success of haemodialysis therapy. The performances of haemodialysis membranes are highly influenced by the interactions with plasma proteins, which in turn are related to the physical and chemical characteristics of the membrane material. The present cross-over study is aimed to analyse the haemodialysis performance of a newly developed asymmetric cellulose triacetate membrane (ATA) in comparison to the conventional parent symmetric polymer (CTA). EXPERIMENTAL DESIGN In four chronic non diabetic haemodialysis patients, the protein constituents of the adsorbed material from the filters after the haemodialysis session, and the proteins recovered in the ultrafiltrate during the session, are identified using a bottom-up shotgun proteomics approach. RESULTS The ATA membrane shows a lower protein adsorption rate and a lower mass distribution pattern of the proteinaceous material. CONCLUSIONS AND CLINICAL RELEVANCE By highlighting the differences between the two haemodialysis filters in terms of adsorbed proteins and flow through, it is demonstrated the higher biocompatibility of the novel ATA membrane, that fulfils the indications for the development of more performant membranes and may represent a step forward for the treatment of patients on chronic haemodialysis.
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Affiliation(s)
- Maurizio Ronci
- Department of Medical, Oral and Biotechnological Sciences, University "G. D'Annunzio" of Chieti-Pescara, Chieti 66100, Italy.,IRCCS-Santa Lucia Foundation, Rome 00144, Italy
| | - Lidia Leporini
- Department of Pharmacy, University "G. D'Annunzio" of Chieti-Pescara, Chieti 66100, Italy
| | - Paolo Felaco
- Department of Medicine and Aging Sciences, University "G. D'Annunzio" of Chieti-Pescara, Chieti 66100, Italy
| | - Vittorio Sirolli
- Department of Medicine and Aging Sciences, University "G. D'Annunzio" of Chieti-Pescara, Chieti 66100, Italy
| | | | | | - Antonio Aceto
- Department of Medical, Oral and Biotechnological Sciences, University "G. D'Annunzio" of Chieti-Pescara, Chieti 66100, Italy
| | - Andrea Urbani
- IRCCS-Santa Lucia Foundation, Rome 00144, Italy.,Institute of Biochemistry and Clinical Biochemistry, School of Medicine, Catholic University, Rome 00144, Italy
| | - Mario Bonomini
- Department of Medicine and Aging Sciences, University "G. D'Annunzio" of Chieti-Pescara, Chieti 66100, Italy
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Robberecht H, Hermans N. Biomarkers of Metabolic Syndrome: Biochemical Background and Clinical Significance. Metab Syndr Relat Disord 2016; 14:47-93. [PMID: 26808223 DOI: 10.1089/met.2015.0113] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Biomarkers of the metabolic syndrome are divided into four subgroups. Although dividing them in groups has some limitations, it can be used to draw some conclusions. In a first part, the dyslipidemias and markers of oxidative stress are discussed, while inflammatory markers and cardiometabolic biomarkers are reviewed in a second part. For most of them, the biochemical background and clinical significance are discussed, although here also a well-cut separation cannot always be made. Altered levels cannot always be claimed as the cause, risk, or consequence of the syndrome. Several factors are interrelated to each other and act in a concerted, antagonistic, synergistic, or modulating way. Most important conclusions are summarized at the end of every reviewed subgroup. Genetic biomarkers or influences of various food components on concentration levels are not included in this review article.
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Affiliation(s)
- Harry Robberecht
- Department of Pharmaceutical Sciences, NatuRA (Natural Products and Food Research and Analysis), University of Antwerp , Wilrijk, Antwerp, Belgium
| | - Nina Hermans
- Department of Pharmaceutical Sciences, NatuRA (Natural Products and Food Research and Analysis), University of Antwerp , Wilrijk, Antwerp, Belgium
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