Plasma and stool metabolomic biomarkers of non-alcoholic fatty liver disease in Argentina
- Autores
- Mazzini, Flavia Noelia; Cook, Frank; Gounarides, John; Marciano, Sebastian; Haddad, Leila; Tamaroff, Ana Jesica; Casciato, Paola; Narvaez, Adriana Haydée; Mascardi, María Florencia; Anders, Margarita; Orozco, Federico; Quiroz, Nicolas; Risk, Marcelo; Gutt, Susana; Gadano, Adrián Carlos; Mendez Garcia, Celia; Marro, Martin; Penas Steinhardt, Alberto; Trinks, Julieta
- Año de publicación
- 2020
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- Background: Non-invasive biomarkers are urgently needed to identify patients with non-alcoholic fatty liver disease (NAFLD) at risk of disease progression, particularly in high prevalence areas such as Latin America. In this regard, targeted metabolomics is a powerful technology for discovering new gut microbiome-derived metabolites. Thus, we aimed to identify potential metabolomic biomarkers related to NAFLD stage in Argentina, and to assess their relationship with clinical and host genetic factors. Methods: Adult healthy volunteers (HV) and biopsy-proven simple steatosis (SS) or non-alcoholic steatohepatitis (NASH) patients were recruited. Demographic, clinical and food frequency consumption data, as well as plasma and stool samples were collected. SNP rs738409 (PNPLA3 gene) was determined in all volunteers. HPLC and flow injection analysis with MS/MS in tandem was applied for metabolomic studies using the MxP Quant 500 Kit (Biocrates Life Sciences AG, Austria). Significantly different metabolites among groups were identified with MetaboAnalyst v4.0. Bivariate and multivariate analyses were used to identify variables that were independently related to NAFLD stage. Forward stepwise logistic regression models were constructed to design the best feature combination that could distinguish between study groups. Receiver Operating Characteristic (ROC) curves were used to evaluate models? accuracy.Results: 19 HV, 12 SS and 22 NASH patients were recruited. Diet was similar between groups. The concentration of 33 out of 424 detected metabolites (25 in plasma and 8 in stool) was significantly different among study groups. Levels of triglycerides (TG) were higher among NAFLD patients, whereas levels of phosphatidylcholines (PC) and lysoPC were higher among HV. The PNPLA3 risk genotype for NAFLD and NASH (GG) was related to higher plasma levels of eicosenoic acid FA(20:1) (p<0.001). Plasma metabolites showed a higher accuracy for diagnosis of NAFLD and NASH when compared to stool metabolites (Table 1). Body mass index (BMI) and plasma levels of PC aa C24:0, FA(20:1) and TG(16:1_34:1) showed high accuracy for diagnosis of NAFLD; whereas the best AUROC for discriminating NASH from SS was that of plasma levels of PC aa C24:0 and PC ae C40:1 (Table 1).Conclusions: Gut microbiome-derived metabolomic biomarkers were identified in plasma and stool, but plasma metabolites were better diagnostic biomarkers of NAFLD and NASH in Argentina. Further validation studies are needed.
Fil: Mazzini, Flavia Noelia. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Oficina de Coordinacion Administrativa Houssay. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Hospital Italiano. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Instituto Universitario Hospital Italiano de Buenos Aires. Instituto de Medicina Traslacional E Ingenieria Biomedica.; Argentina
Fil: Cook, Frank. Novartis Institutes For Biomedical Research; Estados Unidos
Fil: Gounarides, John. Novartis Institutes For Biomedical Research; Estados Unidos
Fil: Marciano, Sebastian. Hospital Italiano; Argentina
Fil: Haddad, Leila. Hospital Italiano; Argentina
Fil: Tamaroff, Ana Jesica. Hospital Italiano; Argentina
Fil: Casciato, Paola. Hospital Italiano; Argentina
Fil: Narvaez, Adriana Haydée. Hospital Italiano; Argentina
Fil: Mascardi, María Florencia. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Oficina de Coordinacion Administrativa Houssay. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Hospital Italiano. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Instituto Universitario Hospital Italiano de Buenos Aires. Instituto de Medicina Traslacional E Ingenieria Biomedica.; Argentina
Fil: Anders, Margarita. Hospital Alemán; Argentina
Fil: Orozco, Federico. Hospital Alemán; Argentina
Fil: Quiroz, Nicolas. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Oficina de Coordinacion Administrativa Houssay. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Hospital Italiano. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Instituto Universitario Hospital Italiano de Buenos Aires. Instituto de Medicina Traslacional E Ingenieria Biomedica.; Argentina
Fil: Risk, Marcelo. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Oficina de Coordinacion Administrativa Houssay. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Hospital Italiano. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Instituto Universitario Hospital Italiano de Buenos Aires. Instituto de Medicina Traslacional E Ingenieria Biomedica.; Argentina
Fil: Gutt, Susana. Hospital Italiano; Argentina
Fil: Gadano, Adrián Carlos. Hospital Italiano; Argentina
Fil: Mendez Garcia, Celia. Hospital Italiano; Argentina
Fil: Marro, Martin. Novartis Institutes For Biomedical Research; Estados Unidos
Fil: Penas Steinhardt, Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Estudios de la Inmunidad Humoral Prof. Ricardo A. Margni. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Estudios de la Inmunidad Humoral Prof. Ricardo A. Margni; Argentina
Fil: Trinks, Julieta. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Medicina Traslacional e Ingeniería Biomédica - Hospital Italiano. Instituto de Medicina Traslacional e Ingeniería Biomédica.- Instituto Universitario Hospital Italiano de Buenos Aires. Instituto de Medicina Traslacional e Ingeniería Biomédica; Argentina
The Liver Meeting Digital Experience
Estados Unidos
American Association for the Study of the Liver Disease - Materia
-
MICROBIOME
NAFLD
METABOLITES
ARGENTINA - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/154564
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Plasma and stool metabolomic biomarkers of non-alcoholic fatty liver disease in ArgentinaMazzini, Flavia NoeliaCook, FrankGounarides, JohnMarciano, SebastianHaddad, LeilaTamaroff, Ana JesicaCasciato, PaolaNarvaez, Adriana HaydéeMascardi, María FlorenciaAnders, MargaritaOrozco, FedericoQuiroz, NicolasRisk, MarceloGutt, SusanaGadano, Adrián CarlosMendez Garcia, CeliaMarro, MartinPenas Steinhardt, AlbertoTrinks, JulietaMICROBIOMENAFLDMETABOLITESARGENTINAhttps://purl.org/becyt/ford/3.1https://purl.org/becyt/ford/3Background: Non-invasive biomarkers are urgently needed to identify patients with non-alcoholic fatty liver disease (NAFLD) at risk of disease progression, particularly in high prevalence areas such as Latin America. In this regard, targeted metabolomics is a powerful technology for discovering new gut microbiome-derived metabolites. Thus, we aimed to identify potential metabolomic biomarkers related to NAFLD stage in Argentina, and to assess their relationship with clinical and host genetic factors. Methods: Adult healthy volunteers (HV) and biopsy-proven simple steatosis (SS) or non-alcoholic steatohepatitis (NASH) patients were recruited. Demographic, clinical and food frequency consumption data, as well as plasma and stool samples were collected. SNP rs738409 (PNPLA3 gene) was determined in all volunteers. HPLC and flow injection analysis with MS/MS in tandem was applied for metabolomic studies using the MxP Quant 500 Kit (Biocrates Life Sciences AG, Austria). Significantly different metabolites among groups were identified with MetaboAnalyst v4.0. Bivariate and multivariate analyses were used to identify variables that were independently related to NAFLD stage. Forward stepwise logistic regression models were constructed to design the best feature combination that could distinguish between study groups. Receiver Operating Characteristic (ROC) curves were used to evaluate models? accuracy.Results: 19 HV, 12 SS and 22 NASH patients were recruited. Diet was similar between groups. The concentration of 33 out of 424 detected metabolites (25 in plasma and 8 in stool) was significantly different among study groups. Levels of triglycerides (TG) were higher among NAFLD patients, whereas levels of phosphatidylcholines (PC) and lysoPC were higher among HV. The PNPLA3 risk genotype for NAFLD and NASH (GG) was related to higher plasma levels of eicosenoic acid FA(20:1) (p<0.001). Plasma metabolites showed a higher accuracy for diagnosis of NAFLD and NASH when compared to stool metabolites (Table 1). Body mass index (BMI) and plasma levels of PC aa C24:0, FA(20:1) and TG(16:1_34:1) showed high accuracy for diagnosis of NAFLD; whereas the best AUROC for discriminating NASH from SS was that of plasma levels of PC aa C24:0 and PC ae C40:1 (Table 1).Conclusions: Gut microbiome-derived metabolomic biomarkers were identified in plasma and stool, but plasma metabolites were better diagnostic biomarkers of NAFLD and NASH in Argentina. Further validation studies are needed.Fil: Mazzini, Flavia Noelia. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Oficina de Coordinacion Administrativa Houssay. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Hospital Italiano. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Instituto Universitario Hospital Italiano de Buenos Aires. Instituto de Medicina Traslacional E Ingenieria Biomedica.; ArgentinaFil: Cook, Frank. Novartis Institutes For Biomedical Research; Estados UnidosFil: Gounarides, John. Novartis Institutes For Biomedical Research; Estados UnidosFil: Marciano, Sebastian. Hospital Italiano; ArgentinaFil: Haddad, Leila. Hospital Italiano; ArgentinaFil: Tamaroff, Ana Jesica. Hospital Italiano; ArgentinaFil: Casciato, Paola. Hospital Italiano; ArgentinaFil: Narvaez, Adriana Haydée. Hospital Italiano; ArgentinaFil: Mascardi, María Florencia. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Oficina de Coordinacion Administrativa Houssay. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Hospital Italiano. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Instituto Universitario Hospital Italiano de Buenos Aires. Instituto de Medicina Traslacional E Ingenieria Biomedica.; ArgentinaFil: Anders, Margarita. Hospital Alemán; ArgentinaFil: Orozco, Federico. Hospital Alemán; ArgentinaFil: Quiroz, Nicolas. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Oficina de Coordinacion Administrativa Houssay. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Hospital Italiano. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Instituto Universitario Hospital Italiano de Buenos Aires. Instituto de Medicina Traslacional E Ingenieria Biomedica.; ArgentinaFil: Risk, Marcelo. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Oficina de Coordinacion Administrativa Houssay. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Hospital Italiano. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Instituto Universitario Hospital Italiano de Buenos Aires. Instituto de Medicina Traslacional E Ingenieria Biomedica.; ArgentinaFil: Gutt, Susana. Hospital Italiano; ArgentinaFil: Gadano, Adrián Carlos. Hospital Italiano; ArgentinaFil: Mendez Garcia, Celia. Hospital Italiano; ArgentinaFil: Marro, Martin. Novartis Institutes For Biomedical Research; Estados UnidosFil: Penas Steinhardt, Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Estudios de la Inmunidad Humoral Prof. Ricardo A. Margni. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Estudios de la Inmunidad Humoral Prof. Ricardo A. Margni; ArgentinaFil: Trinks, Julieta. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Medicina Traslacional e Ingeniería Biomédica - Hospital Italiano. Instituto de Medicina Traslacional e Ingeniería Biomédica.- Instituto Universitario Hospital Italiano de Buenos Aires. Instituto de Medicina Traslacional e Ingeniería Biomédica; ArgentinaThe Liver Meeting Digital ExperienceEstados UnidosAmerican Association for the Study of the Liver DiseaseWiley2020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectReuniónJournalhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/154564Plasma and stool metabolomic biomarkers of non-alcoholic fatty liver disease in Argentina; The Liver Meeting Digital Experience; Estados Unidos; 2020; 1-4CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://aasldpubs.onlinelibrary.wiley.com/doi/full/10.1002/hep.31579info:eu-repo/semantics/altIdentifier/url/https://engage.aasld.org/events/event-description?CalendarEventKey=2f9c87d2-1ad0-4ef1-b50e-0287a5f21342&Home=%2Fevents%2FcalendarInternacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:55:32Zoai:ri.conicet.gov.ar:11336/154564instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:55:32.97CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
Plasma and stool metabolomic biomarkers of non-alcoholic fatty liver disease in Argentina |
| title |
Plasma and stool metabolomic biomarkers of non-alcoholic fatty liver disease in Argentina |
| spellingShingle |
Plasma and stool metabolomic biomarkers of non-alcoholic fatty liver disease in Argentina Mazzini, Flavia Noelia MICROBIOME NAFLD METABOLITES ARGENTINA |
| title_short |
Plasma and stool metabolomic biomarkers of non-alcoholic fatty liver disease in Argentina |
| title_full |
Plasma and stool metabolomic biomarkers of non-alcoholic fatty liver disease in Argentina |
| title_fullStr |
Plasma and stool metabolomic biomarkers of non-alcoholic fatty liver disease in Argentina |
| title_full_unstemmed |
Plasma and stool metabolomic biomarkers of non-alcoholic fatty liver disease in Argentina |
| title_sort |
Plasma and stool metabolomic biomarkers of non-alcoholic fatty liver disease in Argentina |
| dc.creator.none.fl_str_mv |
Mazzini, Flavia Noelia Cook, Frank Gounarides, John Marciano, Sebastian Haddad, Leila Tamaroff, Ana Jesica Casciato, Paola Narvaez, Adriana Haydée Mascardi, María Florencia Anders, Margarita Orozco, Federico Quiroz, Nicolas Risk, Marcelo Gutt, Susana Gadano, Adrián Carlos Mendez Garcia, Celia Marro, Martin Penas Steinhardt, Alberto Trinks, Julieta |
| author |
Mazzini, Flavia Noelia |
| author_facet |
Mazzini, Flavia Noelia Cook, Frank Gounarides, John Marciano, Sebastian Haddad, Leila Tamaroff, Ana Jesica Casciato, Paola Narvaez, Adriana Haydée Mascardi, María Florencia Anders, Margarita Orozco, Federico Quiroz, Nicolas Risk, Marcelo Gutt, Susana Gadano, Adrián Carlos Mendez Garcia, Celia Marro, Martin Penas Steinhardt, Alberto Trinks, Julieta |
| author_role |
author |
| author2 |
Cook, Frank Gounarides, John Marciano, Sebastian Haddad, Leila Tamaroff, Ana Jesica Casciato, Paola Narvaez, Adriana Haydée Mascardi, María Florencia Anders, Margarita Orozco, Federico Quiroz, Nicolas Risk, Marcelo Gutt, Susana Gadano, Adrián Carlos Mendez Garcia, Celia Marro, Martin Penas Steinhardt, Alberto Trinks, Julieta |
| author2_role |
author author author author author author author author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
MICROBIOME NAFLD METABOLITES ARGENTINA |
| topic |
MICROBIOME NAFLD METABOLITES ARGENTINA |
| purl_subject.fl_str_mv |
https://purl.org/becyt/ford/3.1 https://purl.org/becyt/ford/3 |
| dc.description.none.fl_txt_mv |
Background: Non-invasive biomarkers are urgently needed to identify patients with non-alcoholic fatty liver disease (NAFLD) at risk of disease progression, particularly in high prevalence areas such as Latin America. In this regard, targeted metabolomics is a powerful technology for discovering new gut microbiome-derived metabolites. Thus, we aimed to identify potential metabolomic biomarkers related to NAFLD stage in Argentina, and to assess their relationship with clinical and host genetic factors. Methods: Adult healthy volunteers (HV) and biopsy-proven simple steatosis (SS) or non-alcoholic steatohepatitis (NASH) patients were recruited. Demographic, clinical and food frequency consumption data, as well as plasma and stool samples were collected. SNP rs738409 (PNPLA3 gene) was determined in all volunteers. HPLC and flow injection analysis with MS/MS in tandem was applied for metabolomic studies using the MxP Quant 500 Kit (Biocrates Life Sciences AG, Austria). Significantly different metabolites among groups were identified with MetaboAnalyst v4.0. Bivariate and multivariate analyses were used to identify variables that were independently related to NAFLD stage. Forward stepwise logistic regression models were constructed to design the best feature combination that could distinguish between study groups. Receiver Operating Characteristic (ROC) curves were used to evaluate models? accuracy.Results: 19 HV, 12 SS and 22 NASH patients were recruited. Diet was similar between groups. The concentration of 33 out of 424 detected metabolites (25 in plasma and 8 in stool) was significantly different among study groups. Levels of triglycerides (TG) were higher among NAFLD patients, whereas levels of phosphatidylcholines (PC) and lysoPC were higher among HV. The PNPLA3 risk genotype for NAFLD and NASH (GG) was related to higher plasma levels of eicosenoic acid FA(20:1) (p<0.001). Plasma metabolites showed a higher accuracy for diagnosis of NAFLD and NASH when compared to stool metabolites (Table 1). Body mass index (BMI) and plasma levels of PC aa C24:0, FA(20:1) and TG(16:1_34:1) showed high accuracy for diagnosis of NAFLD; whereas the best AUROC for discriminating NASH from SS was that of plasma levels of PC aa C24:0 and PC ae C40:1 (Table 1).Conclusions: Gut microbiome-derived metabolomic biomarkers were identified in plasma and stool, but plasma metabolites were better diagnostic biomarkers of NAFLD and NASH in Argentina. Further validation studies are needed. Fil: Mazzini, Flavia Noelia. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Oficina de Coordinacion Administrativa Houssay. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Hospital Italiano. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Instituto Universitario Hospital Italiano de Buenos Aires. Instituto de Medicina Traslacional E Ingenieria Biomedica.; Argentina Fil: Cook, Frank. Novartis Institutes For Biomedical Research; Estados Unidos Fil: Gounarides, John. Novartis Institutes For Biomedical Research; Estados Unidos Fil: Marciano, Sebastian. Hospital Italiano; Argentina Fil: Haddad, Leila. Hospital Italiano; Argentina Fil: Tamaroff, Ana Jesica. Hospital Italiano; Argentina Fil: Casciato, Paola. Hospital Italiano; Argentina Fil: Narvaez, Adriana Haydée. Hospital Italiano; Argentina Fil: Mascardi, María Florencia. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Oficina de Coordinacion Administrativa Houssay. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Hospital Italiano. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Instituto Universitario Hospital Italiano de Buenos Aires. Instituto de Medicina Traslacional E Ingenieria Biomedica.; Argentina Fil: Anders, Margarita. Hospital Alemán; Argentina Fil: Orozco, Federico. Hospital Alemán; Argentina Fil: Quiroz, Nicolas. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Oficina de Coordinacion Administrativa Houssay. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Hospital Italiano. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Instituto Universitario Hospital Italiano de Buenos Aires. Instituto de Medicina Traslacional E Ingenieria Biomedica.; Argentina Fil: Risk, Marcelo. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Oficina de Coordinacion Administrativa Houssay. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Hospital Italiano. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Instituto Universitario Hospital Italiano de Buenos Aires. Instituto de Medicina Traslacional E Ingenieria Biomedica.; Argentina Fil: Gutt, Susana. Hospital Italiano; Argentina Fil: Gadano, Adrián Carlos. Hospital Italiano; Argentina Fil: Mendez Garcia, Celia. Hospital Italiano; Argentina Fil: Marro, Martin. Novartis Institutes For Biomedical Research; Estados Unidos Fil: Penas Steinhardt, Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Estudios de la Inmunidad Humoral Prof. Ricardo A. Margni. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Estudios de la Inmunidad Humoral Prof. Ricardo A. Margni; Argentina Fil: Trinks, Julieta. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Medicina Traslacional e Ingeniería Biomédica - Hospital Italiano. Instituto de Medicina Traslacional e Ingeniería Biomédica.- Instituto Universitario Hospital Italiano de Buenos Aires. Instituto de Medicina Traslacional e Ingeniería Biomédica; Argentina The Liver Meeting Digital Experience Estados Unidos American Association for the Study of the Liver Disease |
| description |
Background: Non-invasive biomarkers are urgently needed to identify patients with non-alcoholic fatty liver disease (NAFLD) at risk of disease progression, particularly in high prevalence areas such as Latin America. In this regard, targeted metabolomics is a powerful technology for discovering new gut microbiome-derived metabolites. Thus, we aimed to identify potential metabolomic biomarkers related to NAFLD stage in Argentina, and to assess their relationship with clinical and host genetic factors. Methods: Adult healthy volunteers (HV) and biopsy-proven simple steatosis (SS) or non-alcoholic steatohepatitis (NASH) patients were recruited. Demographic, clinical and food frequency consumption data, as well as plasma and stool samples were collected. SNP rs738409 (PNPLA3 gene) was determined in all volunteers. HPLC and flow injection analysis with MS/MS in tandem was applied for metabolomic studies using the MxP Quant 500 Kit (Biocrates Life Sciences AG, Austria). Significantly different metabolites among groups were identified with MetaboAnalyst v4.0. Bivariate and multivariate analyses were used to identify variables that were independently related to NAFLD stage. Forward stepwise logistic regression models were constructed to design the best feature combination that could distinguish between study groups. Receiver Operating Characteristic (ROC) curves were used to evaluate models? accuracy.Results: 19 HV, 12 SS and 22 NASH patients were recruited. Diet was similar between groups. The concentration of 33 out of 424 detected metabolites (25 in plasma and 8 in stool) was significantly different among study groups. Levels of triglycerides (TG) were higher among NAFLD patients, whereas levels of phosphatidylcholines (PC) and lysoPC were higher among HV. The PNPLA3 risk genotype for NAFLD and NASH (GG) was related to higher plasma levels of eicosenoic acid FA(20:1) (p<0.001). Plasma metabolites showed a higher accuracy for diagnosis of NAFLD and NASH when compared to stool metabolites (Table 1). Body mass index (BMI) and plasma levels of PC aa C24:0, FA(20:1) and TG(16:1_34:1) showed high accuracy for diagnosis of NAFLD; whereas the best AUROC for discriminating NASH from SS was that of plasma levels of PC aa C24:0 and PC ae C40:1 (Table 1).Conclusions: Gut microbiome-derived metabolomic biomarkers were identified in plasma and stool, but plasma metabolites were better diagnostic biomarkers of NAFLD and NASH in Argentina. Further validation studies are needed. |
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2020 |
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2020 |
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