Cytokine profiling in pulmonary arterial hypertension: the role of redox homeostasis and sex.

Cytokine profiling in pulmonary arterial hypertension: the role of redox homeostasis and sex.
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DOI:
10.1016/j.trsl.2022.03.013
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发表时间:
2022-09
影响因子:
7.8
通讯作者:
Rafikova, Olga
Rafikova, Olga
中科院分区:
医学2区
文献类型:
--
作者:
Rafikov, Ruslan;Rischard, Franz;Vasilyev, Mikhail;Varghese, Mathews V.;Yuan, Jason X-J;Desai, Ankit A.;Garcia, Joe G. N.;Rafikova, Olga

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Pulmonary arterial hypertension (PAH) is a fatal disease with a well-established sexual dimorphism. Activated inflammatory response and altered redox homeostasis, both known to manifest in a sex-specific manner, are implicated in the pathogenic mechanisms involved in PAH development. This study aimed to evaluate the impact of sex and plasma redox status on circulating cytokine profiles. Plasma oxidation-reduction potential (ORP), as a substitute measure of redox status, was analyzed in male and female Group 1 PAH and healthy subjects. The profiles of 27 circulating cytokines were compared in 2 PAH groups exhibiting the highest and lowest quartile for plasma ORP, correlated with clinical parameters, and used to predict patient survival. The analysis of the PAH groups with the highest and lowest ORP revealed a correlation between elevated cytokine levels and increased oxidative stress in females. In contrast, in males, cytokine expressions were increased in the lower oxidative environment (except for IL-1b). Correlations of the increased cytokine expressions with PAH severity were highly sex-dependent and corresponded to the increase in PAH severity in males and less severe PAH in females. Machine learning algorithms trained on the combined cytokine and redox profiles allowed the prediction of PAH mortality with 80% accuracy. We conclude that the profile of circulating cytokines in PAH patients is redox- and sex-dependent, suggesting the vital need to stratify the patient cohort subjected to anti-inflammatory therapies. Combined cytokine and/or redox profiling showed promising value for predicting the patients' survival.
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