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Biology subjects

Maciel, L.

Publications and source records attributed to Maciel, L..

2 recordsLinked to original sources

Cerebral dopamine neurotrophic factor (CDNF) reduces myocardial ischemia/reperfusion injuries by the activation of PI3K-AKT via KDEL-receptor binding

CDNF (Cerebral Dopamine Neurotrophic Factor) belongs to a new family of NF, which presents several beneficial activities beyond the brain. Little is known about CDNF in the cardiac context. Herein we investigate CDNF effects in cardiomyocytes under endoplasmic reticulum (ER)-stress and in whole rat hearts subjected to ischemia/reperfusion (I/R). We showed that CDNF is secreted by cardiomyocytes stressed by thapsigargin and by isolated hearts subjected to I/R. CDNF protects human and mouse cardiomyocytes against ER-stress by restoring the calcium transient, and isolated heart against I/R injuries by reducing the infarct area and avoiding mitochondrial impairment. This protection is abrogated by wortmannin (PI3K-inhibitor) or by heptapeptides containing KDEL sequence, which block KDEL-receptor. These data suggest that CDNF induces cardioprotection via KDEL receptor binding and PI3K/AKT activation. This is the first study to propose CDNF as a cardiomyokine and to unravel the receptor and signaling pathway for this interesting family of NF.

physiology

Metabolomic profiling revels systemic signatures of premature aging induced by Hutchinson-Gilford Progeria Syndrome

Hutchinson-Gilford Progeria Syndrome (HGPS) is an extremely rare genetic disorder. HGPS children present a high incidence of cardiovascular complications along with altered metabolic processes and accelerated aging process. No metabolic biomarker is known and the mechanisms underlying premature aging are not fully understood. The present study analysed plasma from six HGPS patients of both sexes (7.7{+/-}1.4 years old; mean{+/-}SD) and eight controls (8.6{+/-}2.3 years old) by LC-MS/MS in high-resolution non-targeted metabolomics (Q-Exactive Plus). Several endogenous metabolites with statistical difference were found. Multivariate statistics analysis showed a clear separation between groups. Potential novel metabolic biomarkers are identified using the multivariate area under ROC curve (AUROC) based analysis, showing an AUC value higher than 0.80 using only two metabolites, and reaching 1.00 when increasing the number of metabolites in the AUROC model. Targeted metabolomics was used to validate some of the metabolites identified by the non-targeted method. Taken together, changed metabolic pathways in that panel involve sphingolipid, amino acid, and oxidation of fatty acids among others. In conclusion our data show significant alterations in cellular energy use and availability, in signal transduction, and in lipid metabolites, creating new insights on metabolic alterations associated with premature aging.

pathology