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Diagnostic accuracy of using multiple cytokines to predict aldosterone-producing adenoma

Here, we aimed to study the important cytokines in plasma to identify the aldosterone-producing adenoma (APA). 19 unilateral primary aldosteronism (UPA) patients and 19 healthy people were divided into UPA group and Control group, and the serum of bilateral adrenal veins and inferior vena cava colle...

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Autores principales: Qin, Fei, Wen, Hong, Zhong, Xiaoge, Pan, Yajin, Lai, Xiaomei, Yang, Tingting, Huang, Jing, Yu, Jie, Li, Jianling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10082192/
https://www.ncbi.nlm.nih.gov/pubmed/37029172
http://dx.doi.org/10.1038/s41598-023-32558-9
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author Qin, Fei
Wen, Hong
Zhong, Xiaoge
Pan, Yajin
Lai, Xiaomei
Yang, Tingting
Huang, Jing
Yu, Jie
Li, Jianling
author_facet Qin, Fei
Wen, Hong
Zhong, Xiaoge
Pan, Yajin
Lai, Xiaomei
Yang, Tingting
Huang, Jing
Yu, Jie
Li, Jianling
author_sort Qin, Fei
collection PubMed
description Here, we aimed to study the important cytokines in plasma to identify the aldosterone-producing adenoma (APA). 19 unilateral primary aldosteronism (UPA) patients and 19 healthy people were divided into UPA group and Control group, and the serum of bilateral adrenal veins and inferior vena cava collected by adrenal blood sampling (AVS) in UPA patients and the serum from the healthy subjects were all used to detect multiple cytokines by Luminex immunoassays. Additionally, The UPA patients subjected to laparoscopic adrenalectomy were divided into different groups by pathological results for further study. According our results, IP-10, CXCL9 and RANTES were significantly higher in UPA group compared with control group, and the combination of the three cytokines have significant predictive power for predicting UPA, while the correlational analyses demonstrated that IP-10 and CXCL9 were positively correlated with BP and HR, while EGF was positively correlated with HDL. Additionally, IL-1b was suggested to be the most potential diagnostic biomarker to discriminate the APA and unilateral adrenal hyperplasia (UAH). The present findings might suggest a possibility of IP-10, CXCL9 and RANTES served as a sign to help UPA diagnosis and finally used to assist the diagnosis of APA, while IL-1b was suggested to be the most potential diagnostic biomarker to identify the APA from the UAH patients.
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spelling pubmed-100821922023-04-09 Diagnostic accuracy of using multiple cytokines to predict aldosterone-producing adenoma Qin, Fei Wen, Hong Zhong, Xiaoge Pan, Yajin Lai, Xiaomei Yang, Tingting Huang, Jing Yu, Jie Li, Jianling Sci Rep Article Here, we aimed to study the important cytokines in plasma to identify the aldosterone-producing adenoma (APA). 19 unilateral primary aldosteronism (UPA) patients and 19 healthy people were divided into UPA group and Control group, and the serum of bilateral adrenal veins and inferior vena cava collected by adrenal blood sampling (AVS) in UPA patients and the serum from the healthy subjects were all used to detect multiple cytokines by Luminex immunoassays. Additionally, The UPA patients subjected to laparoscopic adrenalectomy were divided into different groups by pathological results for further study. According our results, IP-10, CXCL9 and RANTES were significantly higher in UPA group compared with control group, and the combination of the three cytokines have significant predictive power for predicting UPA, while the correlational analyses demonstrated that IP-10 and CXCL9 were positively correlated with BP and HR, while EGF was positively correlated with HDL. Additionally, IL-1b was suggested to be the most potential diagnostic biomarker to discriminate the APA and unilateral adrenal hyperplasia (UAH). The present findings might suggest a possibility of IP-10, CXCL9 and RANTES served as a sign to help UPA diagnosis and finally used to assist the diagnosis of APA, while IL-1b was suggested to be the most potential diagnostic biomarker to identify the APA from the UAH patients. Nature Publishing Group UK 2023-04-07 /pmc/articles/PMC10082192/ /pubmed/37029172 http://dx.doi.org/10.1038/s41598-023-32558-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Qin, Fei
Wen, Hong
Zhong, Xiaoge
Pan, Yajin
Lai, Xiaomei
Yang, Tingting
Huang, Jing
Yu, Jie
Li, Jianling
Diagnostic accuracy of using multiple cytokines to predict aldosterone-producing adenoma
title Diagnostic accuracy of using multiple cytokines to predict aldosterone-producing adenoma
title_full Diagnostic accuracy of using multiple cytokines to predict aldosterone-producing adenoma
title_fullStr Diagnostic accuracy of using multiple cytokines to predict aldosterone-producing adenoma
title_full_unstemmed Diagnostic accuracy of using multiple cytokines to predict aldosterone-producing adenoma
title_short Diagnostic accuracy of using multiple cytokines to predict aldosterone-producing adenoma
title_sort diagnostic accuracy of using multiple cytokines to predict aldosterone-producing adenoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10082192/
https://www.ncbi.nlm.nih.gov/pubmed/37029172
http://dx.doi.org/10.1038/s41598-023-32558-9
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