Pathophysiology and emerging biomarkers of cardiovascular-renal-hepato-metabolic syndrome

Cardiovascular-Renal-Hepatic-Metabolic (CRHM) syndrome characterizes a complex, interrelated disease framework that encompasses cardiovascular disease, chronic kidney disease (CKD), metabolic dysfunction-associated steatotic liver disease, and metabolic disorders such as obesity, type 2 diabetes mellitus, dyslipidemia, and hypertension. The syndrome extends the concept of cardiovascular-Kidney-Metabolic syndrome by incorporating the liver's pivotal role in systemic metabolic dysfunction. This syndrome progresses through a cycle of chronic inflammation, insulin resistance, oxidative stress, and endothelial dysfunction, driving multi-organ failure and increasing morbidity and mortality. Understanding the mechanistic keystones of this syndrome is critical for refining risk stratification and therapeutic interventions. Traditional inflammatory markers, such as C-reactive protein, interleukin-6, and tumor necrosis factor-alpha, have limitations in predicting long-term disease progression. Emerging biomarkers offer novel insights into systemic disease mechanisms and personalized medicine. Soluble urokinase plasminogen activator receptor has been identified as a stable and predictive marker of systemic inflammation, with strong associations with CKD, atherosclerosis, and coronary artery disease. Galectin-3 is a key regulator of fibrosis and inflammation across multiple organ systems, while Growth Differentiation Factor-15 has been implicated in mitochondrial dysfunction and cardiovascular aging. Furthermore, microRNAs such as miR-126 and miR-423-5p show promise as biomarkers for vascular integrity and heart failure progression, respectively. These biomarkers not only aid in early detection but also guide targeted interventions. Elevated levels of these markers support the use of sodium-glucose cotransporter 2 inhibitors for cardiorenal protection, and glucagon-like peptide-1 receptor agonists or dual glucose-dependent insulinotropic polypeptide and glucagon-like peptide 1 receptor agonists for metabolic and liver-related complications. Despite these advancements, the clinical integration of novel biomarkers remains limited. This review analyzes the pathophysiological mechanisms underlying CRHM syndrome and explores key biomarkers poised to enhance risk assessment and patient monitoring.

Authors

Institutions

Publication Details

Journal
Frontiers in Cardiovascular Medicine
Published
2025-10-29
DOI
https://doi.org/10.3389/fcvm.2025.1661563
Citations
6
Primary Topic
Galectins and Cancer Biology
Type
article
Field-Weighted Citation Impact
4.78

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pathophysiology and emerging biomarkers of cardiovascular-renal-hepato-metabolic syndrome

Sepiso K. Masenga, Alick Mwambungu, Lweendo Muchaili, Annet Kirabo et al.
6 citations
Frontiers in Cardiovascular Medicine
Galectins and Cancer Biology
4.78
article

Pathophysiology and emerging biomarkers of cardiovascular-renal-hepato-metabolic syndrome

Sepiso K. Masenga, Alick Mwambungu, Lweendo Muchaili, Annet Kirabo, John Nzobokela
article en
6 citations

Abstract

Cardiovascular-Renal-Hepatic-Metabolic (CRHM) syndrome characterizes a complex, interrelated disease framework that encompasses cardiovascular disease, chronic kidney disease (CKD), metabolic dysfunction-associated steatotic liver disease, and metabolic disorders such as obesity, type 2 diabetes mellitus, dyslipidemia, and hypertension. The syndrome extends the concept of cardiovascular-Kidney-Metabolic syndrome by incorporating the liver's pivotal role in systemic metabolic dysfunction. This syndrome progresses through a cycle of chronic inflammation, insulin resistance, oxidative stress, and endothelial dysfunction, driving multi-organ failure and increasing morbidity and mortality. Understanding the mechanistic keystones of this syndrome is critical for refining risk stratification and therapeutic interventions. Traditional inflammatory markers, such as C-reactive protein, interleukin-6, and tumor necrosis factor-alpha, have limitations in predicting long-term disease progression. Emerging biomarkers offer novel insights into systemic disease mechanisms and personalized medicine. Soluble urokinase plasminogen activator receptor has been identified as a stable and predictive marker of systemic inflammation, with strong associations with CKD, atherosclerosis, and coronary artery disease. Galectin-3 is a key regulator of fibrosis and inflammation across multiple organ systems, while Growth Differentiation Factor-15 has been implicated in mitochondrial dysfunction and cardiovascular aging. Furthermore, microRNAs such as miR-126 and miR-423-5p show promise as biomarkers for vascular integrity and heart failure progression, respectively. These biomarkers not only aid in early detection but also guide targeted interventions. Elevated levels of these markers support the use of sodium-glucose cotransporter 2 inhibitors for cardiorenal protection, and glucagon-like peptide-1 receptor agonists or dual glucose-dependent insulinotropic polypeptide and glucagon-like peptide 1 receptor agonists for metabolic and liver-related complications. Despite these advancements, the clinical integration of novel biomarkers remains limited. This review analyzes the pathophysiological mechanisms underlying CRHM syndrome and explores key biomarkers poised to enhance risk assessment and patient monitoring.

Frontiers in Cardiovascular MedicineVol. 12
Northrise University (ZM), Mulungushi University (ZM), Tropical Diseases Research Centre (ZM), Vanderbilt University Medical Center (US)
American Heart Association, National Institutes of Health, Fogarty International Center, National Institute of Diabetes and Digestive and Kidney Diseases
Openalex Percentile: Top 4%
Galectins and Cancer Biology
4.78
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.