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OR12-4 Metabolic Profiling in Adrenal Tumors Demonstrates Enhanced Chronic Inflammation, Branched Chain Amino Acids and Ketone Bodies, Biomarkers that Predict High Cardiometabolic Risk
BACKGROUND: Patients with adrenal hormone excess demonstrate an increased cardiovascular risk and mortality. We aimed to determine the impact of adrenal hormone excess on the metabolic profile that included plasma lipoproteins, total branched-chain amino acids (BCAA), ketone bodies, and GlycA (a pro...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9627405/ http://dx.doi.org/10.1210/jendso/bvac150.174 |
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author | Bancos, Irina Dullaart, Robin Thangamuthu, Karthik Yu, Kai Dogra, Prerna Gruppen, Eke Atkinson, Elizabeth Achenbach, Sara Kittithaworn, Annop |
author_facet | Bancos, Irina Dullaart, Robin Thangamuthu, Karthik Yu, Kai Dogra, Prerna Gruppen, Eke Atkinson, Elizabeth Achenbach, Sara Kittithaworn, Annop |
author_sort | Bancos, Irina |
collection | PubMed |
description | BACKGROUND: Patients with adrenal hormone excess demonstrate an increased cardiovascular risk and mortality. We aimed to determine the impact of adrenal hormone excess on the metabolic profile that included plasma lipoproteins, total branched-chain amino acids (BCAA), ketone bodies, and GlycA (a proinflammatory glycoprotein biomarker). Method: We conducted a single-center cross-sectional study of consecutive patients with adrenal adenomas, Cushing syndrome (CS), and pheochromocytoma/paragangliomas (PPGL) between January 2015 and May 2021. Adrenal adenomas comprised nonfunctioning adenomas (NFA), adenomas with mild autonomous cortisol secretion (MACS), and primary aldosteronism (PA). Malignant and other benign tumors were excluded. Collected fasting plasma samples were measured using nuclear magnetic resonance spectroscopy for lipoproteins, BCCA, ketone bodies and GlycA. The results were compared to referent subjects from PREVEND (Prevention of Renal and Vascular End-stage Disease) study. Lipoprotein Insulin Resistance Index (LP-IR) which predicts incident diabetes was calculated based on 6 lipoprotein parameters. RESULTS: NFA (n=166, median age 60.1years, 63.3% women), MACS (n=158 (median age 61.8 years, 62. 0% women), CS (n=101, median age 43.8 years, 85.1% women), PA (n=71 (median age 55.8 years, 31. 0% women), PPGL (n=43, median age 55.5 years, 46.5% women) was diagnosed in 539 patients. Referent subjects (n=6540) were younger with a median age of 48.4, 50.2% women. When compared to referent subjects, and after age and sex-adjustment, GlycA was highest in patients with CS (OR 3.3, 95% CI 2.8-3.8), followed by PPGL (OR 2.3, 95%CI 1.8-2.9), MACS (OR 2, 95%CI 1.7-2.3), NFA (OR 1.9, 95%CI 1.7-2.2), and PA (OR 1.5, 95%CI 1.2-1.8). When compared to referent subjects, and after sex- and age adjustment, all patient groups demonstrated increase in BCAA: CS (OR 2.7 (95%CI 2.3-3.2), PPGL (OR 2.3, 95% CI 1.8-2.9), NFA (OR 2.4, 95% CI 2.1-2.7), PA (OR 2. 0, 95%CI 1.7-2.5), MACS (OR 2.2, 95% CI 1.7-2.6). Total ketone bodies were increased in patients with cortisol excess (OR of 1.4, 95%CI 1.2-1.5 in CS, and OR of 1.2, 95%CI 1-1.3 in MACS) and NFA (OR 1.2, 95%CI 1.1-1.3), but not in PA or PPGL. All patient groups except PPGL were more likely to have a higher LP-IR score. When compared to referent subjects, the highest sex- and age-adjusted LP-IR increase was in patients with CS (OR 1.9 (95%CI 1.5-2.2), followed by MACS (OR 1.4, 95% CI 1.2-1.7), PA (OR 1.4, 95%CI 1.1-1.8), and NFA (OR 1.4, 95% CI 1.2-1.7). CONCLUSION: Patient with adrenal adenomas and PPGL demonstrate an increase in GlycA, BCAA, and ketone bodies - biomarkers associated with adverse cardiometabolic disorders and mortality. All patients except those with PPGL also demonstrated a higher LP-IR index that was reported to predict incident diabetes. Patients with NFA demonstrated an adverse metabolic profile similar to patients with MACS. Presentation: Sunday, June 12, 2022 11:45 a.m. - 12:00 p.m. |
format | Online Article Text |
id | pubmed-9627405 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-96274052022-11-03 OR12-4 Metabolic Profiling in Adrenal Tumors Demonstrates Enhanced Chronic Inflammation, Branched Chain Amino Acids and Ketone Bodies, Biomarkers that Predict High Cardiometabolic Risk Bancos, Irina Dullaart, Robin Thangamuthu, Karthik Yu, Kai Dogra, Prerna Gruppen, Eke Atkinson, Elizabeth Achenbach, Sara Kittithaworn, Annop J Endocr Soc Adrenal BACKGROUND: Patients with adrenal hormone excess demonstrate an increased cardiovascular risk and mortality. We aimed to determine the impact of adrenal hormone excess on the metabolic profile that included plasma lipoproteins, total branched-chain amino acids (BCAA), ketone bodies, and GlycA (a proinflammatory glycoprotein biomarker). Method: We conducted a single-center cross-sectional study of consecutive patients with adrenal adenomas, Cushing syndrome (CS), and pheochromocytoma/paragangliomas (PPGL) between January 2015 and May 2021. Adrenal adenomas comprised nonfunctioning adenomas (NFA), adenomas with mild autonomous cortisol secretion (MACS), and primary aldosteronism (PA). Malignant and other benign tumors were excluded. Collected fasting plasma samples were measured using nuclear magnetic resonance spectroscopy for lipoproteins, BCCA, ketone bodies and GlycA. The results were compared to referent subjects from PREVEND (Prevention of Renal and Vascular End-stage Disease) study. Lipoprotein Insulin Resistance Index (LP-IR) which predicts incident diabetes was calculated based on 6 lipoprotein parameters. RESULTS: NFA (n=166, median age 60.1years, 63.3% women), MACS (n=158 (median age 61.8 years, 62. 0% women), CS (n=101, median age 43.8 years, 85.1% women), PA (n=71 (median age 55.8 years, 31. 0% women), PPGL (n=43, median age 55.5 years, 46.5% women) was diagnosed in 539 patients. Referent subjects (n=6540) were younger with a median age of 48.4, 50.2% women. When compared to referent subjects, and after age and sex-adjustment, GlycA was highest in patients with CS (OR 3.3, 95% CI 2.8-3.8), followed by PPGL (OR 2.3, 95%CI 1.8-2.9), MACS (OR 2, 95%CI 1.7-2.3), NFA (OR 1.9, 95%CI 1.7-2.2), and PA (OR 1.5, 95%CI 1.2-1.8). When compared to referent subjects, and after sex- and age adjustment, all patient groups demonstrated increase in BCAA: CS (OR 2.7 (95%CI 2.3-3.2), PPGL (OR 2.3, 95% CI 1.8-2.9), NFA (OR 2.4, 95% CI 2.1-2.7), PA (OR 2. 0, 95%CI 1.7-2.5), MACS (OR 2.2, 95% CI 1.7-2.6). Total ketone bodies were increased in patients with cortisol excess (OR of 1.4, 95%CI 1.2-1.5 in CS, and OR of 1.2, 95%CI 1-1.3 in MACS) and NFA (OR 1.2, 95%CI 1.1-1.3), but not in PA or PPGL. All patient groups except PPGL were more likely to have a higher LP-IR score. When compared to referent subjects, the highest sex- and age-adjusted LP-IR increase was in patients with CS (OR 1.9 (95%CI 1.5-2.2), followed by MACS (OR 1.4, 95% CI 1.2-1.7), PA (OR 1.4, 95%CI 1.1-1.8), and NFA (OR 1.4, 95% CI 1.2-1.7). CONCLUSION: Patient with adrenal adenomas and PPGL demonstrate an increase in GlycA, BCAA, and ketone bodies - biomarkers associated with adverse cardiometabolic disorders and mortality. All patients except those with PPGL also demonstrated a higher LP-IR index that was reported to predict incident diabetes. Patients with NFA demonstrated an adverse metabolic profile similar to patients with MACS. Presentation: Sunday, June 12, 2022 11:45 a.m. - 12:00 p.m. Oxford University Press 2022-11-01 /pmc/articles/PMC9627405/ http://dx.doi.org/10.1210/jendso/bvac150.174 Text en © The Author(s) 2022. 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 | Adrenal Bancos, Irina Dullaart, Robin Thangamuthu, Karthik Yu, Kai Dogra, Prerna Gruppen, Eke Atkinson, Elizabeth Achenbach, Sara Kittithaworn, Annop OR12-4 Metabolic Profiling in Adrenal Tumors Demonstrates Enhanced Chronic Inflammation, Branched Chain Amino Acids and Ketone Bodies, Biomarkers that Predict High Cardiometabolic Risk |
title | OR12-4 Metabolic Profiling in Adrenal Tumors Demonstrates Enhanced Chronic Inflammation, Branched Chain Amino Acids and Ketone Bodies, Biomarkers that Predict High Cardiometabolic Risk |
title_full | OR12-4 Metabolic Profiling in Adrenal Tumors Demonstrates Enhanced Chronic Inflammation, Branched Chain Amino Acids and Ketone Bodies, Biomarkers that Predict High Cardiometabolic Risk |
title_fullStr | OR12-4 Metabolic Profiling in Adrenal Tumors Demonstrates Enhanced Chronic Inflammation, Branched Chain Amino Acids and Ketone Bodies, Biomarkers that Predict High Cardiometabolic Risk |
title_full_unstemmed | OR12-4 Metabolic Profiling in Adrenal Tumors Demonstrates Enhanced Chronic Inflammation, Branched Chain Amino Acids and Ketone Bodies, Biomarkers that Predict High Cardiometabolic Risk |
title_short | OR12-4 Metabolic Profiling in Adrenal Tumors Demonstrates Enhanced Chronic Inflammation, Branched Chain Amino Acids and Ketone Bodies, Biomarkers that Predict High Cardiometabolic Risk |
title_sort | or12-4 metabolic profiling in adrenal tumors demonstrates enhanced chronic inflammation, branched chain amino acids and ketone bodies, biomarkers that predict high cardiometabolic risk |
topic | Adrenal |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9627405/ http://dx.doi.org/10.1210/jendso/bvac150.174 |
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