Growth Differentiation Factor 15, a New Prognostic Marker in Diabetic Cardiomyopathy

Avanzas, Pablo; Gonzalez-Gonzalez, Julia; Belleyo‐Belkasem, Carima; Abreu-González, Pedro

doi:10.1016/j.rec.2015.09.008

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…These investigators [ 71 ] demonstrated a strong association between age and plasma values of growth differentiation factor 15 (GDF-15). GDF-15 is a cytokine secreted mainly by Sc, macrophages, and cardiomyocytes upon oxidative stress or inflammatory processes [ 83 ].…”

Section: Potential Proteomic Biomarkers Involved In Agingmentioning

confidence: 99%

Potential Satellite Cell-Linked Biomarkers in Aging Skeletal Muscle Tissue: Proteomics and Proteogenomics to Monitor Sarcopenia

et al. 2022

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Sarcopenia (Sp) is the loss of skeletal muscle mass associated with aging which causes an involution of muscle function and strength. Satellite cells (Sc) are myogenic stem cells, which are activated by injury or stress, and repair muscle tissue. With advancing age, there is a decrease in the efficiency of the regenerative response of Sc. Diagnosis occurs with the Sp established by direct assessments of muscle. However, the detection of biomarkers in real-time biofluids by liquid biopsy could represent a step-change in the understanding of the molecular biology and heterogeneity of Sp. A total of 13 potential proteogenomic biomarkers of Sp by their physiological and biological interaction with Sc have been previously described in the literature. Increases in the expression of GDF11, PGC-1α, Sirt1, Pax7, Pax3, Myf5, MyoD, CD34, MyoG, and activation of Notch signaling stimulate Sc activity and proliferation, which could modulate and delay Sp progression. On the contrary, intensified expression of GDF8, p16INK4a, Mrf4, and activation of the Wnt pathway would contribute to early Sp development by directly inducing reduced and/or altered Sc function, which would attenuate the restorative capacity of skeletal muscle. Additionally, tissue biopsy remains an important diagnostic tool. Proteomic profiling of aged muscle tissues has shown shifts toward protein isoforms characteristic of a fast-to-slow transition process and an elevated number of oxidized proteins. In addition, a strong association between age and plasma values of growth differentiation factor 15 (GDF-15) has been described and serpin family A member 3 (serpin A3n) was more secreted by atrophied muscle cells. The identification of these new biomarkers holds the potential to change personalized medicine because it could predict in real time the course of Sp by monitoring its evolution and assessing responses to potential therapeutic strategies.

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Section: Potential Proteomic Biomarkers Involved In Agingmentioning

confidence: 99%

Potential Satellite Cell-Linked Biomarkers in Aging Skeletal Muscle Tissue: Proteomics and Proteogenomics to Monitor Sarcopenia

et al. 2022

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“…The early detection and treatment of DCM are challenging due to the lack of specific symptoms and effective biomarkers ( 5 ). Although several biochemical and imaging markers are employed in clinical practice, their sensitivity and specificity in diagnosing DCM are not satisfactory ( 6 , 7 , 8 ). Hence, there is an urgent need to identify new and reliable biomarkers for DCM to improve its early detection and intervention.…”

Section: Introductionmentioning

confidence: 99%

Identification of potential biomarkers for diabetic cardiomyopathy using LC-MS-based metabolomics

Xiong,

Li,

Lin

et al. 2024

Endocrine Connections

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Diabetic cardiomyopathy (DCM) is a serious complication of type 2 diabetes mellitus (T2DM) that contributes to cardiovascular morbidity and mortality. However, the metabolic alterations and specific biomarkers associated with DCM in T2DM remain unclear. In this study, we conducted a comprehensive metabolomic analysis using liquid chromatography-mass spectrometry (LC-MS) to investigate the plasma metabolite profiles of T2DM patients with and without DCM. We identified significant differences in metabolite levels between the groups, highlighting the dysregulation of various metabolic pathways, including starch and sucrose metabolism, steroid hormone biosynthesis, tryptophan metabolism, purine metabolism, and pyrimidine metabolism. Although several metabolites showed altered abundance in DCM, they were also shared characteristics of DCM and T2DM rather than specific to DCM. Additionally, through biomarker analyses, we identified potential biomarkers for DCM, such as cytidine triphosphate, 11-ketoetiocholanolone, saccharopine, nervonic acid, and erucic acid. These biomarkers demonstrated distinct patterns and associations with metabolic pathways related to DCM. Our findings provide insights into the metabolic changes associated with DCM in T2DM patients and highlight potential biomarkers for further validation and clinical application. Further research is needed to elucidate the underlying mechanisms and validate the diagnostic and prognostic value of these biomarkers in larger cohorts.

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Redefining biomarkers in heart failure

et al. 2018

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Heart failure (HF) is the end result of many different cardiac and non-cardiac abnormalities leading to a complex clinical entity. In this view, the use of biomarkers in HF should be deeply reconsidered; indeed, the same biomarker may carry a different significance in patients with preserved or reduced EF. The aim of this review is to reconsider the role of biomarkers in HF, based on the different clinical characteristics of this syndrome. The role of cardiac and non-cardiac biomarkers will be reviewed with respect of the different clinical manifestations of this syndrome.

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Growth Differentiation Factor 15, a New Prognostic Marker in Diabetic Cardiomyopathy

Cited by 3 publications

References 7 publications

Potential Satellite Cell-Linked Biomarkers in Aging Skeletal Muscle Tissue: Proteomics and Proteogenomics to Monitor Sarcopenia

Potential Satellite Cell-Linked Biomarkers in Aging Skeletal Muscle Tissue: Proteomics and Proteogenomics to Monitor Sarcopenia

Identification of potential biomarkers for diabetic cardiomyopathy using LC-MS-based metabolomics

Redefining biomarkers in heart failure

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