Computational Biology in the Discovery of Biomarkers in the Diagnosis, Treatment and Management of Cardiovascular Diseases DOI

Irene Batta,

Ritika Patial,

Ranbir Chander Sobti

и другие.

Cardiology and Cardiovascular Medicine, Год журнала: 2024, Номер 8(5)

Опубликована: Янв. 1, 2024

Cardiovascular diseases are the leading cause of mortality worldwide, with a disproportionately high burden in low- and middle-income countries. Biomarkers play crucial role early detection, diagnosis, treatment cardiovascular by providing valuable insights into normal abnormal conditions heart vascular system. The biomarkers derived from cells tissues can be identified quantified blood other body fluids tissues. Changes their expression level under pathological condition provide clinical information on underlying pathophysiology that could have predictive, diagnostic, prognostic value disease process, therefore incorporated guidelines. This enhances effectiveness risk stratification therapeutic decisions personalized medicine improvement patient outcomes. protein, carbohydrate, or genome-based may also lipids nucleic acids. Computational biology has emerged as powerful discipline biomarker discovery, leveraging computational techniques to identify validate biological markers for prognosis, drug response prediction. convergence advanced technologies, such artificial intelligence, multi-omics profiling, liquid biopsies, imaging, led significant shift discovery development biomarkers, enabling integration data multiple scales more comprehensive understanding complex signaling transcriptional networks pathogenesis. In this article, we reviewed integrated genomics, proteomics, metabolomics, together machine learning predictive modeling diseases. We discussed specific including epigenetic, metabolic, emerging extracellular vesicles, miRNAs, circular RNAs,

Язык: Английский

Major heme proteins hemoglobin and myoglobin with respect to their roles in oxidative stress – a brief review DOI Creative Commons

Rajarshi Sil,

Abhay Sankar Chakraborti

Frontiers in Chemistry, Год журнала: 2025, Номер 13

Опубликована: Фев. 25, 2025

Oxidative stress is considered as the root-cause of different pathological conditions. Transition metals, because their redox-active states, are capable free radical generation contributing oxidative stress. Hemoglobin and myoglobin two major heme proteins, involved in oxygen transport storage, respectively. Heme prosthetic group proteins a good reservoir iron, most abundant transition metal human body. Although iron tightly bound pocket these it liberated under specific circumstances yielding ferrous iron. This active can react with H2O2, secondary metabolite, forming hydroxyl via Fenton reaction. Hydroxyl harmful among all reactive species. It causes by damaging lipid membranes, nucleic acids, activating inflammatory pathways altering membrane channels, resulting disease In this review, we have discussed how heme-irons hemoglobin promote pathophysiological conditions including metabolic syndrome, diabetes, cardiovascular, neurodegenerative renal diseases. Understanding association to may be important for knowing complications well therapeutic management

Язык: Английский

Процитировано

0

The Advanced Glycation End-Products (AGE)–Receptor for AGE System (RAGE): An Inflammatory Pathway Linking Obesity and Cardiovascular Diseases DOI Open Access
Elena Vianello, Antonio Paolo Beltrami, Aneta Aleksova

и другие.

International Journal of Molecular Sciences, Год журнала: 2025, Номер 26(8), С. 3707 - 3707

Опубликована: Апрель 14, 2025

The AGE (advanced glycation end-products)–RAGE (receptor for AGE) system is a pro-inflammatory pathway that contributes to the pathogenesis of obesity and obesity-related cardiovascular disorders (CVD). Circulating soluble form RAGE (sRAGE) has been suggested as potential biomarker CVD related obesity. In this study, we aim (1) summarize current knowledge about role in onset progression CVD, (2) discuss AGE–RAGE promoting linking (3) highlight available strategies reducing activation associated beneficial effects.

Язык: Английский

Процитировано

0

Computational Biology in the Discovery of Biomarkers in the Diagnosis, Treatment and Management of Cardiovascular Diseases DOI

Irene Batta,

Ritika Patial,

Ranbir Chander Sobti

и другие.

Cardiology and Cardiovascular Medicine, Год журнала: 2024, Номер 8(5)

Опубликована: Янв. 1, 2024

Cardiovascular diseases are the leading cause of mortality worldwide, with a disproportionately high burden in low- and middle-income countries. Biomarkers play crucial role early detection, diagnosis, treatment cardiovascular by providing valuable insights into normal abnormal conditions heart vascular system. The biomarkers derived from cells tissues can be identified quantified blood other body fluids tissues. Changes their expression level under pathological condition provide clinical information on underlying pathophysiology that could have predictive, diagnostic, prognostic value disease process, therefore incorporated guidelines. This enhances effectiveness risk stratification therapeutic decisions personalized medicine improvement patient outcomes. protein, carbohydrate, or genome-based may also lipids nucleic acids. Computational biology has emerged as powerful discipline biomarker discovery, leveraging computational techniques to identify validate biological markers for prognosis, drug response prediction. convergence advanced technologies, such artificial intelligence, multi-omics profiling, liquid biopsies, imaging, led significant shift discovery development biomarkers, enabling integration data multiple scales more comprehensive understanding complex signaling transcriptional networks pathogenesis. In this article, we reviewed integrated genomics, proteomics, metabolomics, together machine learning predictive modeling diseases. We discussed specific including epigenetic, metabolic, emerging extracellular vesicles, miRNAs, circular RNAs,

Язык: Английский

Процитировано

1