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Updated: Apr 11, 2026

Multilevel Microdissection and Functional-Structural Profiling of Human Renal Arterial Branches
Published on: September 5, 2025
Cardio-Pulmonary-Renal Interactions: A Multidisciplinary Approach.
Faeq Husain-Syed1, Peter A McCullough2, Horst-Walter Birk3
1International Renal Research Institute of Vicenza, San Bortolo Hospital, Vicenza, Italy; Department of Internal Medicine II, University Clinic Giessen and Marburg Lung Center, Member of the German Center for Lung Research-Campus Giessen, Giessen, Germany.
Interactions between the heart, lung, and kidney are crucial. Understanding cardio-pulmonary-renal crosstalk and using biomarkers can help manage organ injury and disease progression.
Area of Science:
- Physiology
- Pathophysiology
- Biomedical Science
Background:
- Recent advancements have deepened the understanding of interdependent feedback mechanisms between the heart, lung, and kidney.
- Organ injury arises from complex maladaptive processes including neurohormonal activation, oxidative stress, and immune dysregulation.
Purpose of the Study:
- To review the current understanding of cardio-pulmonary-renal interactions and their associated pathophysiology.
- To frame the diverse spectrum of published observations using a multidisciplinary approach.
Main Methods:
- Comprehensive literature review of state-of-the-art research on cardio-pulmonary-renal interactions.
- Multidisciplinary synthesis of findings on interorgan crosstalk mechanisms and clinical implications.
Main Results:
- Interorgan crosstalk can manifest acutely, chronically, or as acute-on-chronic conditions.
- Pathophysiological mechanisms driving organ injury include maladaptive neurohormonal activation, oxidative stress, and abnormal immune signaling.
- Cycles of increased susceptibility and reciprocal progression characterize these interactions.
Conclusions:
- Assessment of organ functional reserve and biomarker utilization are key clinical strategies.
- These strategies aid in screening, diagnosis, prognosis assessment, and predicting disease recovery or chronicity.
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