Cargando…

THU075 Sex And Age Specificity Of Correlations Among IGF-1, GH, And Duodenal Microbial Diversity Predicting TMA Biosynthesis

Disclosure: N. Tal: None. G. Leite: None. G. Barlow: None. W. Morales: None. R. de Souza Santos: None. M. Pimentel: None. R. Mathur: None. Varied gut microbial profiles and functional potentials may increase or decrease cardiovascular (CVD) disease risk. Trimethylamine (TMA), a known bacterial metab...

Descripción completa

Detalles Bibliográficos
Autores principales: Tal, Noa, Leite, Gabriela, Barlow, Gillian, Morales, Walter, de Souza Santos, Roberta, Pimentel, Mark, Mathur, Ruchi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10555939/
http://dx.doi.org/10.1210/jendso/bvad114.1155
_version_ 1785116770071216128
author Tal, Noa
Leite, Gabriela
Barlow, Gillian
Morales, Walter
de Souza Santos, Roberta
Pimentel, Mark
Mathur, Ruchi
author_facet Tal, Noa
Leite, Gabriela
Barlow, Gillian
Morales, Walter
de Souza Santos, Roberta
Pimentel, Mark
Mathur, Ruchi
author_sort Tal, Noa
collection PubMed
description Disclosure: N. Tal: None. G. Leite: None. G. Barlow: None. W. Morales: None. R. de Souza Santos: None. M. Pimentel: None. R. Mathur: None. Varied gut microbial profiles and functional potentials may increase or decrease cardiovascular (CVD) disease risk. Trimethylamine (TMA), a known bacterial metabolite associated with red meat ingestion, is linked to increased CVD risk and morbidity through its liver-transformed form trimethylamine N-oxide (TMAO). As the somatotroph axis is also linked both to the microbiome and CVD morbidity, we explored the relationships between the duodenal microbiome, microbial pathways, IGF-1 and GH levels. Methods: Female (F) and male (M) subjects undergoing upper endoscopy without colon prep were enrolled and completed a medical history including CV conditions and risk factors such as exercise and diet. Whole blood was collected and duodenal aspirates obtained using a double lumen sterile catheter. Microbial DNA was extracted and 16S sequenced. Analyses were performed with CLC Microbial Module. Predicted pathways were identified using MetaCyc Database. Fasting circulating GH, IGF-1 (Luminex FLEXMAP) and cholesterol fractions (Cobas 400) were measured. Results: 177 subjects were grouped by age (sex and BMI, P=NS): 18-35yrs (N=21, F=11), 36-50yrs (N=29, F=15), 51-65yrs (N=69, F=38) and 66-80yrs (N=58, F=28). IGF-1 levels gradually decreased in older subjects (P<0.0001). In older M (66-80yrs), GH correlated positively with IGF-1 (R=0.371, P=0.044) and negatively with duodenal microbial diversity (R=-0.517, P=0.003). M and F had similar CVD risks (hypertension, smoking, exercise habits, obesity, LDL levels and weekly red meat consumption [P=NS for all]). In M only: 1) GH levels correlated with overall number of CV conditions (R=0.339, P=0.001), 2) Red meat consumption correlated with GH (R=0.353, P=0.002) and predicted microbial TMA biosynthesis from L-carnitine (R=0.272, P=0.009), and 3) Higher IGF-1 correlated with predicted microbial TMA production from L-carnitine (R=0.208, P=0.05) and predicted microbial conversion of TMA to TMAO (R=0.257, P=0.018). Duodenal relative abundance (RA) of Prevotellaceae (which positively impacts duodenal microbial diversity) inversely correlated with both GH (R=-0.174, P=0.019) and predicted TMA production (R=-0.174, P=0.019). Positive associations among Prevotellaceae and duodenal diversity (R=0.570, P<0.0001) and inverse associations with TMA production (R=-0.354, P=0.029) were stronger in older M (66-80yrs). In M, Prevotellaceae RA decreased gradually with age (P=0.023). Conclusion: IGF-1 and GH levels exhibit differential relationships with the duodenal microbiome and cardiovascular risk. In males, IGF-1 levels strongly associate with duodenal microbial pathways linked to TMA production and conversion to TMAO. Red meat consumption is linked to GH levels and to predicted TMA biosynthesis pathways. The microbial family Prevotellaceae appears to mitigate predicted TMA production and its relative abundance is lower in older men. Presentation: Thursday, June 15, 2023
format Online
Article
Text
id pubmed-10555939
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-105559392023-10-07 THU075 Sex And Age Specificity Of Correlations Among IGF-1, GH, And Duodenal Microbial Diversity Predicting TMA Biosynthesis Tal, Noa Leite, Gabriela Barlow, Gillian Morales, Walter de Souza Santos, Roberta Pimentel, Mark Mathur, Ruchi J Endocr Soc Neuroendocrinology And Pituitary Disclosure: N. Tal: None. G. Leite: None. G. Barlow: None. W. Morales: None. R. de Souza Santos: None. M. Pimentel: None. R. Mathur: None. Varied gut microbial profiles and functional potentials may increase or decrease cardiovascular (CVD) disease risk. Trimethylamine (TMA), a known bacterial metabolite associated with red meat ingestion, is linked to increased CVD risk and morbidity through its liver-transformed form trimethylamine N-oxide (TMAO). As the somatotroph axis is also linked both to the microbiome and CVD morbidity, we explored the relationships between the duodenal microbiome, microbial pathways, IGF-1 and GH levels. Methods: Female (F) and male (M) subjects undergoing upper endoscopy without colon prep were enrolled and completed a medical history including CV conditions and risk factors such as exercise and diet. Whole blood was collected and duodenal aspirates obtained using a double lumen sterile catheter. Microbial DNA was extracted and 16S sequenced. Analyses were performed with CLC Microbial Module. Predicted pathways were identified using MetaCyc Database. Fasting circulating GH, IGF-1 (Luminex FLEXMAP) and cholesterol fractions (Cobas 400) were measured. Results: 177 subjects were grouped by age (sex and BMI, P=NS): 18-35yrs (N=21, F=11), 36-50yrs (N=29, F=15), 51-65yrs (N=69, F=38) and 66-80yrs (N=58, F=28). IGF-1 levels gradually decreased in older subjects (P<0.0001). In older M (66-80yrs), GH correlated positively with IGF-1 (R=0.371, P=0.044) and negatively with duodenal microbial diversity (R=-0.517, P=0.003). M and F had similar CVD risks (hypertension, smoking, exercise habits, obesity, LDL levels and weekly red meat consumption [P=NS for all]). In M only: 1) GH levels correlated with overall number of CV conditions (R=0.339, P=0.001), 2) Red meat consumption correlated with GH (R=0.353, P=0.002) and predicted microbial TMA biosynthesis from L-carnitine (R=0.272, P=0.009), and 3) Higher IGF-1 correlated with predicted microbial TMA production from L-carnitine (R=0.208, P=0.05) and predicted microbial conversion of TMA to TMAO (R=0.257, P=0.018). Duodenal relative abundance (RA) of Prevotellaceae (which positively impacts duodenal microbial diversity) inversely correlated with both GH (R=-0.174, P=0.019) and predicted TMA production (R=-0.174, P=0.019). Positive associations among Prevotellaceae and duodenal diversity (R=0.570, P<0.0001) and inverse associations with TMA production (R=-0.354, P=0.029) were stronger in older M (66-80yrs). In M, Prevotellaceae RA decreased gradually with age (P=0.023). Conclusion: IGF-1 and GH levels exhibit differential relationships with the duodenal microbiome and cardiovascular risk. In males, IGF-1 levels strongly associate with duodenal microbial pathways linked to TMA production and conversion to TMAO. Red meat consumption is linked to GH levels and to predicted TMA biosynthesis pathways. The microbial family Prevotellaceae appears to mitigate predicted TMA production and its relative abundance is lower in older men. Presentation: Thursday, June 15, 2023 Oxford University Press 2023-10-05 /pmc/articles/PMC10555939/ http://dx.doi.org/10.1210/jendso/bvad114.1155 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the Endocrine Society. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Neuroendocrinology And Pituitary
Tal, Noa
Leite, Gabriela
Barlow, Gillian
Morales, Walter
de Souza Santos, Roberta
Pimentel, Mark
Mathur, Ruchi
THU075 Sex And Age Specificity Of Correlations Among IGF-1, GH, And Duodenal Microbial Diversity Predicting TMA Biosynthesis
title THU075 Sex And Age Specificity Of Correlations Among IGF-1, GH, And Duodenal Microbial Diversity Predicting TMA Biosynthesis
title_full THU075 Sex And Age Specificity Of Correlations Among IGF-1, GH, And Duodenal Microbial Diversity Predicting TMA Biosynthesis
title_fullStr THU075 Sex And Age Specificity Of Correlations Among IGF-1, GH, And Duodenal Microbial Diversity Predicting TMA Biosynthesis
title_full_unstemmed THU075 Sex And Age Specificity Of Correlations Among IGF-1, GH, And Duodenal Microbial Diversity Predicting TMA Biosynthesis
title_short THU075 Sex And Age Specificity Of Correlations Among IGF-1, GH, And Duodenal Microbial Diversity Predicting TMA Biosynthesis
title_sort thu075 sex and age specificity of correlations among igf-1, gh, and duodenal microbial diversity predicting tma biosynthesis
topic Neuroendocrinology And Pituitary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10555939/
http://dx.doi.org/10.1210/jendso/bvad114.1155
work_keys_str_mv AT talnoa thu075sexandagespecificityofcorrelationsamongigf1ghandduodenalmicrobialdiversitypredictingtmabiosynthesis
AT leitegabriela thu075sexandagespecificityofcorrelationsamongigf1ghandduodenalmicrobialdiversitypredictingtmabiosynthesis
AT barlowgillian thu075sexandagespecificityofcorrelationsamongigf1ghandduodenalmicrobialdiversitypredictingtmabiosynthesis
AT moraleswalter thu075sexandagespecificityofcorrelationsamongigf1ghandduodenalmicrobialdiversitypredictingtmabiosynthesis
AT desouzasantosroberta thu075sexandagespecificityofcorrelationsamongigf1ghandduodenalmicrobialdiversitypredictingtmabiosynthesis
AT pimentelmark thu075sexandagespecificityofcorrelationsamongigf1ghandduodenalmicrobialdiversitypredictingtmabiosynthesis
AT mathurruchi thu075sexandagespecificityofcorrelationsamongigf1ghandduodenalmicrobialdiversitypredictingtmabiosynthesis