Dysregulation of Iron Metabolism-Linked Genes at Myocardial Tissue and Cell Levels in Dilated Cardiomyopathy.
Ilaria MassaiuJeness CampodonicoMassimo MapelliElisabetta SalvioniVincenza ValerioDonato MoschettaVeronika A MyasoedovaMaria Domenica CappelliniGiulio PompilioPoggio PaoloPiergiuseppe AgostoniPublished in: International journal of molecular sciences (2023)
In heart failure, the biological and clinical connection between abnormal iron homeostasis, myocardial function, and prognosis is known; however, the expression profiles of iron-linked genes both at myocardial tissue and single-cell level are not well defined. Through publicly available bulk and single-nucleus RNA sequencing (RNA-seq) datasets of left ventricle samples from adult non-failed (NF) and dilated cardiomyopathy (DCM) subjects, we aim to evaluate the altered iron metabolism in a diseased condition, at the whole cardiac tissue and single-cell level. From the bulk RNA-seq data, we found 223 iron-linked genes expressed at the myocardial tissue level and 44 differentially expressed between DCM and NF subjects. At the single-cell level, at least 18 iron-linked expressed genes were significantly regulated in DCM when compared to NF subjects. Specifically, the iron metabolism in DCM cardiomyocytes is altered at several levels, including: (1) imbalance of Fe 3+ internalization ( SCARA5 down-regulation) and reduction of internal conversion from Fe 3+ to Fe 2+ ( STEAP3 down-regulation), (2) increase of iron consumption to produce hemoglobin ( HBA1/2 up-regulation), (3) higher heme synthesis and externalization ( ALAS2 and ABCG2 up-regulation), (4) lower cleavage of heme to Fe 2+ , biliverdin and carbon monoxide ( HMOX2 down-regulation), and (5) positive regulation of hepcidin ( BMP6 up-regulation).
Keyphrases
- single cell
- rna seq
- iron deficiency
- left ventricular
- heart failure
- high throughput
- signaling pathway
- genome wide
- oxidative stress
- machine learning
- stem cells
- transcription factor
- genome wide identification
- mitral valve
- big data
- gene expression
- pulmonary hypertension
- pi k akt
- toll like receptor
- congenital heart disease