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Dudka, I.

Publications and source records attributed to Dudka, I..

2 recordsLinked to original sources

Cardiomyocyte hypertrophy co-localizes with accumulation of hyaluronan in cMyBPC+/- mice hearts

Hypertrophic cardiomyopathy (HCM) is a genetic heart disease characterized by left ventricular hypertrophy. Mutations in genes for sarcomere proteins, e.g. in cardiac myosin-binding protein C (cMyBPC), cause symptoms like heart failure and sudden cardiac death. In HCM, the heart utilizes high amounts of glucose. Increased glucose metabolism creates intermediates for hyaluronan (HA) synthesis, resulting in HA accumulation within the extracellular space, which could contribute to cardiomyocyte hypertrophy. We aimed to describe the connection between HA and cardiomyocyte hypertrophy using cMyBPC+/- mice treated with two different {beta}-blockers - either metoprolol or propranolol - for 11 months. The results showed that HA metabolism is altered in HCM, and consequently, HA is significantly more abundant in hearts of cMyBPC+/- mice compared to wild-type mice. High HA abundance correlated with increased cardiomyocyte size. Gene expression of HA synthase 2 was elevated in cMyBPC+/- mice. Treatment with propranolol significantly increased HA synthase 3 expression, while HA synthase 2 was maintained at wild-type level. Treatment with metoprolol or propranolol did not prevent HA accumulation nor decreased cardiomyocyte hypertrophy. These findings show a novel connection between high HA abundance and cardiomyocyte hypertrophy in cMyBPC+/- mice.

cell biology↗

Metabolic readouts of tumor instructed normal tissues (TINT) identify aggressive prostate cancer subgroups for tailored therapy

BackgroundProstate cancer (PC) diagnosis relies on histopathological examination of prostate biopsies, which is restricted by insufficient sampling of all tumors present. Including samples from non-PC but tumor instructed normal tissues (TINT) may increase the diagnostic power by exploring the adaptive responses in benign tissues near tumors. MethodsHere, we applied high-resolution magic angle spinning nuclear magnetic resonance (HR MAS NMR) to identify metabolomic biomarkers with high diagnostic value in benign prostate tissues near low/high-grade tumors. ResultsBenign samples near high-grade tumors (B ISUP 3+4) exhibit altered metabolic profiles compared to those close to low-grade tumors (B ISUP 1+2). The levels of six metabolites were significantly different between the two groups; myo-inositol, lysine, serine and combined signal of lysine/leucine/arginine were increased in benign samples near high-grade tumors (B ISUP 3+4) compared to near low-grade tumors (B ISUP 1+2), while levels of ethanolamine and lactate decreased. Additionally, we revealed metabolic differences in non-cancer tissues as a function of their distance to the nearest tumor. Eight metabolites (glutathione, glutamate, combined signal of glutamate/glutamine - glx, glycerol, inosine, ethanolamine, serine and arginine) significantly differentiated between benign tissue located close to the tumor (d [≤] 5 mm) compared to those far away (d [≥] 1 cm). ConclusionsOur HR MAS NMR-based approach identified metabolic signatures in prostate biopsies that reflect the response of benign tissues to the presence of nearby located tumors in the same prostate and confirmed the power of the TINT concept for improved PC diagnostics and understanding of tumor-tissue interactions.

cancer biology↗