Plasma Metabolomic Profiling in 1391 Subjects with Overweight and Obesity from the SPHERE Study
Overweight and obesity have high prevalence worldwide and assessing the metabolomic profile is a useful approach to study their related metabolic processes. In this study, we assessed the metabolomic profile of 1391 subjects affected by overweight and obesity, enrolled in the frame of the SPHERE stu...
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| Published in | Metabolites Vol. 11; no. 4; p. 194 |
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| Main Authors | , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Switzerland
MDPI AG
24.03.2021
MDPI |
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| Online Access | Get full text |
| ISSN | 2218-1989 2218-1989 |
| DOI | 10.3390/metabo11040194 |
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| Abstract | Overweight and obesity have high prevalence worldwide and assessing the metabolomic profile is a useful approach to study their related metabolic processes. In this study, we assessed the metabolomic profile of 1391 subjects affected by overweight and obesity, enrolled in the frame of the SPHERE study, using a validated LC–MS/MS targeted metabolomic approach determining a total of 188 endogenous metabolites. Multivariable censored linear regression Tobit models, correcting for age, sex, and smoking habits, showed that 83 metabolites were significantly influenced by body mass index (BMI). Among compounds with the highest association, aromatic and branched chain amino acids (in particular tyrosine, valine, isoleucine, and phenylalanine) increased with the increment of BMI, while some glycerophospholipids decreased, in particular some lysophosphatidylcholines (as lysoPC a C18:2) and several acylalkylphosphatidylcholines (as PC ae C36:2, PC ae C34:3, PC ae C34:2, and PC ae C40:6). The results of this investigation show that several endogenous metabolites are influenced by BMI, confirming the evidence with the strength of a large number of subjects, highlighting differences among subjects with different classes of obesity and showing unreported associations between BMI and different phosphatidylcholines. |
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| AbstractList | Overweight and obesity have high prevalence worldwide and assessing the metabolomic profile is a useful approach to study their related metabolic processes. In this study, we assessed the metabolomic profile of 1391 subjects affected by overweight and obesity, enrolled in the frame of the SPHERE study, using a validated LC-MS/MS targeted metabolomic approach determining a total of 188 endogenous metabolites. Multivariable censored linear regression Tobit models, correcting for age, sex, and smoking habits, showed that 83 metabolites were significantly influenced by body mass index (BMI). Among compounds with the highest association, aromatic and branched chain amino acids (in particular tyrosine, valine, isoleucine, and phenylalanine) increased with the increment of BMI, while some glycerophospholipids decreased, in particular some lysophosphatidylcholines (as lysoPC a C18:2) and several acylalkylphosphatidylcholines (as PC ae C36:2, PC ae C34:3, PC ae C34:2, and PC ae C40:6). The results of this investigation show that several endogenous metabolites are influenced by BMI, confirming the evidence with the strength of a large number of subjects, highlighting differences among subjects with different classes of obesity and showing unreported associations between BMI and different phosphatidylcholines. Overweight and obesity have high prevalence worldwide and assessing the metabolomic profile is a useful approach to study their related metabolic processes. In this study, we assessed the metabolomic profile of 1391 subjects affected by overweight and obesity, enrolled in the frame of the SPHERE study, using a validated LC-MS/MS targeted metabolomic approach determining a total of 188 endogenous metabolites. Multivariable censored linear regression Tobit models, correcting for age, sex, and smoking habits, showed that 83 metabolites were significantly influenced by body mass index (BMI). Among compounds with the highest association, aromatic and branched chain amino acids (in particular tyrosine, valine, isoleucine, and phenylalanine) increased with the increment of BMI, while some glycerophospholipids decreased, in particular some lysophosphatidylcholines (as lysoPC a C18:2) and several acylalkylphosphatidylcholines (as PC ae C36:2, PC ae C34:3, PC ae C34:2, and PC ae C40:6). The results of this investigation show that several endogenous metabolites are influenced by BMI, confirming the evidence with the strength of a large number of subjects, highlighting differences among subjects with different classes of obesity and showing unreported associations between BMI and different phosphatidylcholines.Overweight and obesity have high prevalence worldwide and assessing the metabolomic profile is a useful approach to study their related metabolic processes. In this study, we assessed the metabolomic profile of 1391 subjects affected by overweight and obesity, enrolled in the frame of the SPHERE study, using a validated LC-MS/MS targeted metabolomic approach determining a total of 188 endogenous metabolites. Multivariable censored linear regression Tobit models, correcting for age, sex, and smoking habits, showed that 83 metabolites were significantly influenced by body mass index (BMI). Among compounds with the highest association, aromatic and branched chain amino acids (in particular tyrosine, valine, isoleucine, and phenylalanine) increased with the increment of BMI, while some glycerophospholipids decreased, in particular some lysophosphatidylcholines (as lysoPC a C18:2) and several acylalkylphosphatidylcholines (as PC ae C36:2, PC ae C34:3, PC ae C34:2, and PC ae C40:6). The results of this investigation show that several endogenous metabolites are influenced by BMI, confirming the evidence with the strength of a large number of subjects, highlighting differences among subjects with different classes of obesity and showing unreported associations between BMI and different phosphatidylcholines. |
| Author | Albetti, Benedetta Fustinoni, Silvia Mercadante, Rosa Dioni, Laura Favero, Chiara Vigna, Luisella Pesatori, Angela Cecilia Savino, Diego Bollati, Valentina Frigerio, Gianfranco |
| AuthorAffiliation | 1 EPIGET—Epidemiology, Epigenetics, and Toxicology Lab, Department of Clinical Sciences and Community Health, University of Milan, 20122 Milan, Italy; gianfranco.frigerio@unimi.it (G.F.); chiara.favero@unimi.it (C.F.); diego.savino@studenti.unimi.it (D.S.); rosa.mercadante@unimi.it (R.M.); benedetta.albetti@unimi.it (B.A.); laura.dioni@unimi.it (L.D.); valentina.bollati@unimi.it (V.B.); angela.pesatori@unimi.it (A.C.P.) 2 Occupational Health Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy; luisella.vigna@policlinico.mi.it |
| AuthorAffiliation_xml | – name: 2 Occupational Health Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy; luisella.vigna@policlinico.mi.it – name: 1 EPIGET—Epidemiology, Epigenetics, and Toxicology Lab, Department of Clinical Sciences and Community Health, University of Milan, 20122 Milan, Italy; gianfranco.frigerio@unimi.it (G.F.); chiara.favero@unimi.it (C.F.); diego.savino@studenti.unimi.it (D.S.); rosa.mercadante@unimi.it (R.M.); benedetta.albetti@unimi.it (B.A.); laura.dioni@unimi.it (L.D.); valentina.bollati@unimi.it (V.B.); angela.pesatori@unimi.it (A.C.P.) |
| Author_xml | – sequence: 1 givenname: Gianfranco orcidid: 0000-0002-3538-1443 surname: Frigerio fullname: Frigerio, Gianfranco – sequence: 2 givenname: Chiara surname: Favero fullname: Favero, Chiara – sequence: 3 givenname: Diego surname: Savino fullname: Savino, Diego – sequence: 4 givenname: Rosa surname: Mercadante fullname: Mercadante, Rosa – sequence: 5 givenname: Benedetta surname: Albetti fullname: Albetti, Benedetta – sequence: 6 givenname: Laura surname: Dioni fullname: Dioni, Laura – sequence: 7 givenname: Luisella orcidid: 0000-0001-5014-721X surname: Vigna fullname: Vigna, Luisella – sequence: 8 givenname: Valentina orcidid: 0000-0002-0370-9598 surname: Bollati fullname: Bollati, Valentina – sequence: 9 givenname: Angela Cecilia orcidid: 0000-0002-0261-3252 surname: Pesatori fullname: Pesatori, Angela Cecilia – sequence: 10 givenname: Silvia orcidid: 0000-0002-0287-7338 surname: Fustinoni fullname: Fustinoni, Silvia |
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| Keywords | plasma metabolome metabolomics overweight body mass index obesity |
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| SubjectTerms | Amino acids Body mass index Body weight Creatinine Isoleucine Metabolism Metabolites Metabolomics Obesity Overweight Phenylalanine plasma metabolome Principal components analysis Regression analysis Tyrosine Valine |
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| Title | Plasma Metabolomic Profiling in 1391 Subjects with Overweight and Obesity from the SPHERE Study |
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